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27 merged results for "International Journal of Criminal Justice Sciences"

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  1. Challenging Academia: A Critical Space for Controversial Social Issues

    Author unknown · 2021

    uncertain Transparent signal score 50/100 · policy 1.0.0

    Found in doab · no DOI

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 4 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  2. The global impact of adverse childhood experiences on criminal behavior: A cross-continental study

    Miguel Basto-Pereira, Maria Gouveia-Pereira, Cicero Roberto Pereira, Emma Louise Barrett · 2022 · Child Abuse & Neglect : The International Journal

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.1016/j.chiabu.2021.105459

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  3. The French Bataclan Trial as a judicial experiment: What lessons for the prosecution of mass crimes?

    Sharon Weill, Sandrine Lefranc · 2025 · Leiden Journal of International Law

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.1017/s0922156524000256

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  4. Understanding the Relationship Between Public Opinion and Experience With the Criminal Justice System

    Chloe Leclerc, Anta Niang, Marie-Chloé Duval · 2017 · International Journal of Public Opinion Research

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in hal · DOI 10.1093/ijpor/edx007

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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  5. The Global Impact of Multisystemic Vulnerabilities on Criminal Variety: A Cross-Continental Study in Young Adults

    Lidón Villanueva, Laura Maciel, Aitana Gomis-Pomares, Maria Gouveia-Pereira · 2024 · Journal of Interpersonal Violence

    limited evidence Transparent signal score 43/100 · policy 1.0.0

    Found in hal · DOI 10.1177/08862605241270016

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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  6. Response of Crime to Unemployment: An International Comparison

    Paolo Buonanno, Francesco Drago, Roberto Galbiati · 2014 · Journal of Criminal Justice

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.1177/1043986213509023

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    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  7. The socio-genesis of a guild of “digital technologies” justifying transnational interoperable databases in the name of security and border purposes: a reframing of the field of security professionals?

    Didier Bigo · 2020 · International Journal of Migration and Border Studies

    limited evidence Transparent signal score 45/100 · policy 1.0.0

    Found in hal · DOI 10.1504/ijmbs.2020.10030062

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  8. Status of Court Management in Switzerland

    Andreas Lienhard, Daniel Kettiger, Daniela Winkler · 2012 · International Journal for Court Administration

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.18352/ijca.86

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  9. Development of Women Resilience in the Workplace: A Solution to Break the Glass Ceiling

    Farajallah Rahimi, Maral Ahmadi Arpanahi · 2024 · مطالعات اجتماعی روان‌شناختی زنان

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.22051/jwsps.2024.46199.2839

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    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  10. Criminological Investigation of Organizational Corruption in Sport

    Reza Abolhassani, Tahmoores Bashirieh, mahdi yousefi sadeghloo · 2025 · Faṣlnāmah-i Pizhūhish-i Huqūq-i Kiyfarī

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.22054/jclr.2025.83695.2729

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    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
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    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  11. “What ails victimology?” Revisited: Assessing the growth and development of victimology as an academic discipline

    Beichner-Thomas Dawn, James Chadley, Piason Bothwell · 2025 · Temida

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.2298/tem2501127b

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    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 4 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  12. MODEL PENELITIAN HUBUNGAN POLA PERMUKIMAN DAN KONFLIK ANTAR ETNIK

    Emilya Kalsum · 2015 · Langkau Betang: Jurnal Arsitektur

    uncertain Transparent signal score 53/100 · policy 1.0.0

    Found in doaj · DOI 10.26418/lantang.v2i1.13842

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    • not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  13. 3rd International Arab Forensic Sciences & Forensic Medicine Conference, ASFSFM 2017: Conference Report

    Abdulsallam A. Bakdash, Karam A. Abdulaal, Jihad Al-Qudsi · 2017 · Arab Journal of Forensic Sciences & Forensic Medicine

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    Found in doaj · DOI 10.26735/16586794.2017.014

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  14. Author Guidelines: The Arab Journal of Forensic Sciences and Forensic Medicine (AJFSFM)

    Arab Journal of Forensic Sciences & Forensic Medicine · 2017 · Arab Journal of Forensic Sciences & Forensic Medicine

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    Found in doaj · DOI 10.26735/16586794.2017.027

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  15. Mental health crisis care for children and young people aged 5 to 25 years: the CAMH-Crisis evidence synthesis

    Evans Nicola, Edwards Deborah, Carrier Judith, Elliott Mair · 2023 · Health and Social Care Delivery Research

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    Found in doaj · DOI 10.3310/bppt3407

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  16. La justice pénale internationale en Afrique : Hier, aujourd'hui et demain

    Haman Adji Alhadji Djougdoum · 2025 · INTERNATIONAL JOURNAL OF LEGAL STUDIES

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    Found in hal · DOI 10.34218/ijls_02_02_002

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  17. Interventions to Reduce Distress in Adult Victims of Sexual Violence and Rape: A Systematic Review

    Cheryl Regehr, Ramona Alaggia, Jane Dennis, Annabel Pitts · 2013 · Campbell Systematic Reviews

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    Found in doaj · DOI 10.4073/csr.2013.3

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  18. Biohacking Regulatory and Ethical Dynamics in Europe and Latin America

    Bajrektarevic, Anis H., Carvajal, Valentina · 2025

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    Found in datacite, datacite · DOI 10.5281/zenodo.18062063

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  19. Global Authorship Across 45+ Universities in 25+ Countries, 4 continents: Evidence from L'Europe Unie / United Europe

    COSTEA, Simion, L'EUROPE UNIE · 2026

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    Found in datacite, datacite, datacite · DOI 10.5281/zenodo.18293278

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  20. THE CHARTER OF ALGORITHMIC CRIMINAL DYNAMICS A Global Academic Framework for the Physics of Crime and Justice Author: Dr. Mohamed Kamal Arafa Elrakhawi Credentials: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sciences and Legal Artificial Intelligence Document Identifier (DOI): 10.5281/zenodo.20664393 Version: 1.0 (Global Model Academic & Legislative Framework) Date of Publication: June 2026 DEDICATION To the pioneers of legal physics, the architects of algorithmic justice, and the defenders of truth in an era where code shapes reality. This Charter is dedicated to the future of human civilization, where the laws of nature and the logic of machines converge to uphold justice, equity, and the preservation of the physical and digital realms. INTRODUCTION The rapid convergence of artificial intelligence, quantum computing, and cyber-physical systems has fundamentally altered the landscape of human interaction and criminal behavior. Traditional criminal law frameworks, rooted in the physical and digital dichotomy, are no longer sufficient to address the complexities of algorithmic-physical crimes. This Charter introduces a pioneering global academic and legislative framework that redefines legal causality, evidentiary standards, and criminal liability through the rigorous application of physics, thermodynamics, and computational logic. By bridging the critical gap between digital actions and physical consequences, this document serves as a foundational model for international tribunals, legal scholars, and policymakers navigating the complexities of the algorithmic age. INDEX 1. Dedication 2. Introduction 3. Preamble 4. Section I: General Principles & Foundational Axioms (Articles 1-4) 5. Section II: The Material Element & Kinematic Reconstruction (Articles 5-8) 6. Section III: The Moral Element & Liability in the Algorithmic Era (Articles 9-11) 7. Section IV: Emerging Crimes (Physical-Digital Hybridization) (Articles 12-14) 8. Section V: Evidentiary Procedures & Fair Trial (Articles 15-17) 9. Section VI: Penalties & Re-calibration (Articles 18-20) 10. Section VII: Final Provisions & Dynamic Evolution (Articles 21-22) 11. Conclusion 12. Appendices 13. References 14. Intellectual Property Rights & Licensing 15. Official Citation & Archival Data PREAMBLE RECOGNIZING the fundamental convergence of physical determinism and algorithmic prediction in the modern era; ACKNOWLEDGING that the traditional dichotomy between physical and digital crimes is obsolete, as all digital actions now manifest as cyber-physical consequences; SEEKING to redefine legal causality, evidentiary standards, and criminal liability through the rigorous application of physics, thermodynamics, and computational logic; HEREBY ADOPTS this Charter as a universal, model academic and legislative framework for the adjudication of algorithmic-physical crimes. SECTION I: GENERAL PRINCIPLES & FOUNDATIONAL AXIOMS Article 1: Algorithmic-Physical Causality Legal causality shall no longer be established solely through traditional forensic chains. Algorithmic-Physical Causality is hereby recognized as the supreme standard for proving the nexus between an action and a consequence. It is defined as the mathematically verifiable sequence wherein an algorithmic output directly dictates a physical state change, governed by the immutable laws of physics. Article 2: The Conservation of Criminal Trace Drawing upon the First Law of Thermodynamics, this Charter establishes that a criminal trace cannot be created or destroyed; it merely transforms. Physical evidence transforms into digital data (telemetry, logs), and digital data transforms into physical kinetic action. The total criminal energy within a closed system remains constant and is fully recoverable through appropriate analytical modalities. Article 3: The Entropy of Intent The mens rea (moral element) of a crime shall be quantified using the Entropy of Intent. This metric measures the degree of systemic disorder and deviation from the legal-normative baseline introduced by the perpetrator's will. A higher delta between the predicted safe state and the actual chaotic state, driven by the actor's omission or commission, constitutes a higher degree of criminal culpability. Article 4: Universal Scope and Jurisdiction This Charter applies universally to all hybrid crimes possessing intertwined physical and digital extensions across borders. Jurisdiction is established at the locus where the algorithmic code was executed, where the physical impact occurred, or where the thermodynamic disruption was measured. SECTION II: THE MATERIAL ELEMENT & KINEMATIC RECONSTRUCTION Article 5: Kinematic Algorithmic Reconstruction The material element of a crime shall be proven via Kinematic Algorithmic Reconstruction. This involves the exact computational replay of the event's physical and digital vectors, utilizing digital twins and physics engines to demonstrate that the criminal outcome was the inevitable result of the initial algorithmic or physical inputs. Article 6: Thermodynamic Analysis of Digital Evidence Digital evidence shall be subjected to Thermodynamic Analysis. The consumption of computational energy, heat dissipation patterns, and data transmission workloads shall be utilized as physical corroboration of digital activity. Anomalous spikes in computational thermodynamics shall serve as prima facie evidence of unauthorized algorithmic execution. Article 7: Quantum Authentication of Evidence To ensure the absolute integrity of evidence, the No-Cloning Theorem of quantum mechanics shall be applied to digital forensics. Evidence hashes and blockchain-anchored quantum signatures must be utilized to guarantee that digital evidence cannot be copied, altered, or repudiated without collapsing its cryptographic state, thereby alerting the court. Article 8: Evidentiary Weight of Algorithmic-Physical Reports Reports generated by certified algorithmic-physical reconstruction engines shall possess absolute evidentiary weight, equivalent to sworn physical testimony, provided the underlying physical models and algorithmic weights are open to audit under Article 16. SECTION III: THE MORAL ELEMENT & LIABILITY IN THE ALGORITHMIC ERA Article 9: The Crime of Predictive Negligence Paragraph 1 (Material Element): Predictive negligence occurs when a person or entity, legally bound by a duty of care, fails to take preventive action after a certified algorithmic system issues a deterministic prediction of physical or cyber-physical harm, provided the physical probability threshold exceeds the codified minimum (e.g., 95% confidence interval). Failure to act, when physically possible, constitutes an affirmative causative act. Paragraph 2 (Moral Element): Direct criminal intent is not required. Culpability is measured via the Entropy of Intent, representing the quantifiable deviation of the system's state caused by ignoring the algorithmic warning. Paragraph 3 (Exemptions): Criminal liability is negated if: (a) the prediction relied on physically corrupted sensor data (Quantum or Sensory Noise); (b) the preventive action would have caused a greater thermodynamic imbalance (Dynamic Equilibrium Principle); or (c) the physical event evolved faster than the Critical Response Time of the system. Article 10: Distributed Liability Matrix In cases involving autonomous systems, liability is distributed across a matrix comprising the human developer (code architecture), the algorithmic agent (decision weights), and the physical operator (hardware maintenance). Liability is apportioned based on the Contribution to Systemic Entropy by each party. Article 11: Force Majeure of Physical Determinism Criminal liability is extinguished if the outcome was dictated by Physical Determinism Force Majeure, defined as an unpredictable physical cascade (e.g., sudden quantum decoherence in sensors, or unforeseeable relativistic latency in satellite networks) that renders algorithmic control physically impossible. SECTION IV: EMERGING CRIMES (PHYSICAL-DIGITAL HYBRIDIZATION) Article 12: Algorithmic-Physical Manipulation Paragraph 1: This crime is committed by intentionally generating, injecting, or deploying synthetic sensory data (e.g., Deepfakes, biometric audio spoofing) to deceive a human or physical automated system, resulting directly in physical injury, material destruction, or physiological collapse. Paragraph 2: Causality is proven via the Physical Causal Chain, demonstrating that the physical harm was the deterministic output of the synthetic input. Paragraph 3: Aggravating factors include targeting life-support systems or causing Physical Resonance (cascading harm to unintended third parties). Article 13: Algorithmic Sabotage of Vital Cyber-Physical Infrastructure Paragraph 1: Defined as unauthorized modification or injection of malicious commands into the control algorithms of vital physical infrastructure (smart grids, dams, autonomous transit, nuclear reactors), resulting in a Kinetic Impact or Cascading Physical Failure. Paragraph 2: Criminal intent is presumed if thermodynamic data analysis proves the perpetrator knew the code modification would breach the Safe Operating Envelope of the physical system. Paragraph 3: Authorized physical penetration testing, conducted on strictly air-gapped systems causing zero kinetic harm, is exempt. Article 14: The Crime of System Entropy Paragraph 1: This crime involves the organized, distributed execution of stochastic actions (digital or physical) designed not to destroy a specific target, but to elevate the Entropy of a system beyond its Predictive Processing Capacity, thereby paralyzing it. Paragraph 2: The material element is proven via the Critical Chaos Index, demonstrating that the attack generated sufficient data noise to blind the system's predictive algorithms. Paragraph 3: The creation, sale, or distribution of Entropy Kits (tools calibrated to exploit algorithmic blind spots) is punishable as a principal offense. SECTION V: EVIDENTIARY PROCEDURES & FAIR TRIAL Article 15: The Physicist-Algorithmic Expert Board A permanent, independent Physicist-Algorithmic Expert Board shall be established to assist judicial bodies. This board comprises certified experts in computational physics, algorithmic auditing, and cyber-physical engineering. Article 16: Algorithmic Audit & Confrontation Paragraph 1: Every accused possesses an absolute constitutional right to access the source code, training data, and physical calibration logs of any algorithmic system used to generate evidence or calculate the Entropy of Intent against them. Paragraph 2: The audit must verify the absence of Algorithmic-Physical Bias, including checking for environmental noise distortion and unrepresentative training data. Paragraph 3: Trade secrets cannot be invoked to deny this audit. If security is a concern, the audit occurs in a Secure Clean-Room Environment under the Board's supervision. Paragraph 4: If the system is an Unexplainable Black Box or if the audit reveals uncorrected physical or algorithmic flaws, the evidence is deemed Physically and Legally Void and strictly inadmissible. Article 17: Nullity via Algorithmic-Physical Bias Any judicial proceeding is null and void if it is proven that the algorithmic tools utilized suffered from systemic Algorithmic-Physical Bias that materially affected the outcome of the evidentiary reconstruction. SECTION VI: PENALTIES & RE-CALIBRATION Article 18: Digital-Physical Quarantine Paragraph 1: Replaces traditional incarceration. The offender is dynamically isolated from all cyber-physical networks, reducing their Algorithmic Impact Radius to zero. They retain read-only access to knowledge but zero execution privileges. Paragraph 2: The sentence duration is governed by the Dynamic Freedom Index (DFI). The offender's DFI increases, and sentence time is reduced, only as continuous algorithmic monitoring proves a measurable decrease in their Behavioral Entropy. Article 19: Algorithmic Re-calibration Paragraph 1: Offenders (especially corporate or developer entities) may be sentenced to Algorithmic Re-calibration, compelling them to rewrite the malicious code, retrain the flawed AI models, or recalibrate the physical sensors they compromised. Paragraph 2: The penalty is only fulfilled when the system passes a 90-day Dynamic Stability Test, proving systemic entropy has normalized and the specific failure vector is permanently closed. Paragraph 3: If the offender lacks technical capacity, they are subjected to an Equivalent Energy Penalty, forcing them to fund or build a defensive system generating twice the Security Energy of the damage caused. Article 20: Energy-Value Equivalence Restitution Paragraph 1: Financial compensation is decoupled from volatile fiat markets and calculated via Physical Energy Equivalence, representing the exact thermodynamic and computational energy required to rebuild the destroyed physical or digital state. Paragraph 2: Restitution includes compensation for Lost Dynamic Time (calculated via the victim's baseline vital energy consumption during the dis-equilibrium period) and Moral Entropy (measured via biometric and psychological indices). Paragraph 3: For crimes of System Entropy (Article 14), restitution is tripled and deposited into a National Cyber-Physical Stability Fund. SECTION VII: FINAL PROVISIONS & DYNAMIC EVOLUTION Article 21: Autonomous Evolution Mechanism This Charter is a Living Document. Its technical annexes and physical constants shall be automatically reviewed and updated every 24 months by the Supreme Council of Legal Physics. Discoveries in quantum mechanics, thermodynamics, or deep learning are integrated via an Algorithmic Update Protocol without requiring protracted legislative procedures. Article 22: Transitional Provisions This Charter applies to all crimes committed post-ratification. For crimes committed during the Transitional Epoch (where traditional law failed to grasp cyber-physical impacts), judges may apply Retroactive Physical Analogy if it is proven the perpetrator possessed epistemic awareness of the physical consequences of their algorithmic actions. CONCLUSION The Charter of Algorithmic Criminal Dynamics represents a paradigm shift in global jurisprudence. By integrating the immutable laws of physics with the predictive power of algorithms, we establish a robust, future-proof framework capable of addressing the most complex crimes of the 21st century. This document is not merely a theoretical exercise; it is a practical, actionable blueprint for legislators, judges, and technologists. As we stand on the precipice of a fully integrated cyber-physical world, the adoption of these principles is essential to ensure that justice remains swift, accurate, and unassailable. The future of law is algorithmic, physical, and undeniably intertwined. APPENDICES Appendix A: Glossary of Terms Algorithmic-Physical Causality: The mathematically verifiable sequence linking an algorithmic output to a physical state change. Entropy of Intent: A quantifiable metric of systemic disorder introduced by a perpetrator's will. Kinematic Algorithmic Reconstruction: The computational replay of physical and digital vectors using digital twins. Dynamic Freedom Index (DFI): A metric used to measure an offender's rehabilitation and reduction in behavioral entropy during digital-physical quarantine. Appendix B: Standardized Protocols for Quantum Authentication Protocol B.1: Implementation of Blockchain-Anchored Quantum Signatures for Evidence Hashing. Protocol B.2: Procedures for Detecting Cryptographic State Collapse in Digital Forensics. Appendix C: The Critical Chaos Index (CCI) Measurement Framework Formula and methodology for calculating data noise thresholds that blind predictive algorithms in crimes of System Entropy. REFERENCES 1. Elrakhawi, M. K. A. (2026). The Foundations of Legal Physics: Merging Thermodynamics and Jurisprudence. Journal of Advanced Legal Theory, 14(2), 112-145. 2. Turing, A., & Von Neumann, J. (2024). Cyber-Physical Systems and the New Forensics. International Press of Computational Law. 3. Hawking, S., & Penrose, R. (2025). Quantum Mechanics in Digital Evidence: The No-Cloning Theorem Applied to Cybercrime. Nature Machine Intelligence, 8(4), 301-315. 4. United Nations Office on Drugs and Crime (UNODC). (2025). Global Study on Cyber-Physical Crime and Algorithmic Liability. 5. European Union Agency for Cybersecurity (ENISA). (2024). Threat Landscape for Cyber-Physical Infrastructure: Entropy Attacks and Sabotage. 6. Bostrom, N., & Yudkowsky, E. (2026). The Ethics of Predictive Negligence in Autonomous Systems. Harvard Law Review, 139(3), 550-598. 7. International Criminal Court (ICC). (2025). Rome Statute Amendments on Digital-Physical Hybrid Crimes. 8. IEEE Computer Society. (2024). Standard for Algorithmic Auditing and Clean-Room Environments (IEEE Std 2800-2024). 9. World Economic Forum. (2026). The Future of Justice: Implementing the Charter of Algorithmic Criminal Dynamics. 10. Elrakhawi, M. K. A. (2025). Entropy of Intent: Quantifying Mens Rea in the Age of AI. Global Journal of Legal Informatics, 9(1), 45-78. INTELLECTUAL PROPERTY RIGHTS & LICENSING Copyright 2026 Dr. Mohamed Kamal Arafa Elrakhawi. All Rights Reserved. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). Under this license, you are free to share, copy, and redistribute the material in any medium or format under the following terms: Attribution: You must give appropriate credit to Dr. Mohamed Kamal Arafa Elrakhawi, provide a link to the license, and indicate if changes were made. You must do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial: You may not use the material for commercial purposes. NoDerivatives: If you remix, transform, or build upon the material, you may not distribute the modified material. For permissions beyond the scope of this license, including commercial licensing, translation rights, and legislative adoption inquiries, please contact the author directly through the official archival repository. OFFICIAL CITATION & ARCHIVAL DATA To cite this framework in academic,

    elrakhawi, mohamed kamal arafa · 2026

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  21. The Quantum Citadel for AI: A Theoretical Framework for Near-Absolute Security Against Cyber Intrusion Author: Dr. Mohamed Kamal Arafa Elrakhawi Affiliation: Researcher, Consultant, Jurist, Author, and International Lecturer in Law; Researcher in Algorithmic Sciences and Legal Artificial Intelligence. Date of Publication: June 2026 Document Identifier (DOI): 10.5281/zenodo.20666248 ABSTRACT In the face of escalating advanced cyber threats and satellite-based attacks, traditional software security has become insufficient for protecting sensitive superintelligent AI systems. This foundational paper introduces the Quantum Citadel for AI (QC-AI), a comprehensive physical framework that provides near-absolute protection for critical AI systems by integrating seven security layers based on the laws of physics rather than software alone. The system combines absolute physical isolation, quantum Faraday cages, isolated quantum computing, unidirectional optical data diodes, quantum self-destruct protocols, side-channel intrusion detection, and quantum-resistant cryptography. This paper presents the theoretical physical foundations governing each layer, theoretically proving the impossibility of remote intrusion under known physical constraints. This work represents a paradigm shift from software security to physical-quantum security, establishing a new field: Physical-Quantum Cybersecurity. The complete technical specifications and implementation protocols remain proprietary and are available only through direct consultation with the author. Keywords: Quantum Citadel, Superintelligent AI, Physical-Quantum Security, Absolute Physical Isolation, Isolated Quantum Computing, Quantum-Resistant Cryptography. 1. INTRODUCTION Current cyber systems rely on mathematical assumptions about the difficulty of solving certain problems (such as factoring large prime numbers), assumptions that are threatened by the emergence of quantum computing. Moreover, any system connected to a network, even indirectly, remains vulnerable to side-channel attacks, data leakage through electromagnetic emissions, and advanced satellite attacks. This paper poses a fundamental question: Can we build a superintelligent AI system that is protected in a near-absolute manner using the laws of physics themselves? The answer we provide is the Quantum Citadel model, a system based on the principle that true security is not built on computational assumptions, but on physical laws that cannot be violated. This work aims to present a comprehensive theoretical framework that can be adopted as a basis for protecting critical infrastructure, military systems, and sovereign data in the age of superintelligent AI. 1.1 Research Objectives The first objective: To theoretically prove that physical-quantum security surpasses traditional software security. The second objective: To establish the physical foundations governing each of the seven layers. The third objective: To design an integrated system architecture concept. The fourth objective: To establish the conceptual framework for operational protocols. The fifth objective: To establish a new scientific field: Physical-Quantum Cybersecurity. 1.2 Research Methodology The research relies on an interdisciplinary methodology combining: - Quantum physics (quantum mechanics, thermodynamics) - Cybersecurity (side-channel analysis, cryptography) - Electronic engineering (Faraday cages, optical diodes) - Artificial intelligence (anomaly detection, neural networks) 2. THEORETICAL FRAMEWORK: THE PHYSICS OF NEAR-ABSOLUTE SECURITY The Quantum Citadel is based on four fundamental physical postulates: Postulate 1: Heisenberg's Uncertainty Principle A quantum state cannot be measured without changing it, making any attempt to eavesdrop on quantum data immediately detectable. Mathematically: Delta_x * Delta_p >= hbar / 2 Where Delta_x is the uncertainty in position, Delta_p is the uncertainty in momentum, and hbar is the reduced Planck constant. Postulate 2: The Law of Conservation of Energy Any intrusion process requires energy that can be measured, making physical attacks detectable. The energy required for intrusion is calculated by the equation: E_attack = Integral from t0 to t1 of P(t) dt Where P(t) is the power consumed in the attack over time. Postulate 3: The Principle of Electromagnetic Isolation Electromagnetic radiation can be physically blocked entirely under specific conditions. The electric field intensity inside the cage is calculated by the equation: E_internal = E_external * exp(-t / delta) Where t is the material thickness, and delta is the skin depth. Postulate 4: Quantum Information Theory Quantum information cannot be cloned (No-Cloning Theorem), making the theft of quantum data impossible without destroying it. Mathematically: There is no unitary operation U that satisfies: U(|psi> tensor |0>) = |psi> tensor |psi> For any unknown quantum state |psi>. 3. THE SEVEN LAYERS OF THE QUANTUM CITADEL 3.1 Layer 1: Absolute Physical Air-Gap The system operates in a complete physical Air-Gap state, containing no wireless or wired communication interfaces that can be connected to external networks. The fundamental principle is that the sum of all potential interfaces must equal zero. Any non-zero value immediately activates the self-destruct protocol. The specific verification methodology and thresholds are proprietary. 3.2 Layer 2: Quantum Faraday Cage The system is enclosed within a multi-layered Faraday cage that achieves electromagnetic attenuation exceeding a specific threshold across the frequency spectrum. The fundamental equation for cage effectiveness is: SE(dB) = 20 * log10(E_incident / E_transmitted) The specific material composition, layer thicknesses, and attenuation thresholds are proprietary and represent a key innovation of this framework. 3.3 Layer 3: Isolated Quantum Computing Core The quantum processor operates at ultra-low temperature in a high-vacuum environment. The fundamental equation for qubit state (Schrödinger equation) is: i * hbar * partial(Psi)/partial(t) = H * Psi The specific operating parameters, coherence requirements, and error correction protocols are proprietary. 3.4 Layer 4: Unidirectional Optical Data Diode Data is transferred via an optical Data Diode that achieves one-way transfer only according to physical law. The fundamental equation for data flow is: Data_Flow = Integral from t0 to t1 (Input_Signal) dt Output_Signal = 0 (physically impossible) The specific optical design and isolation specifications are proprietary. 3.5 Layer 5: Quantum Self-Destruct Protocol When any physical tampering attempt is detected, the destruction protocol is activated within a specific time threshold. The fundamental principle is that all qubits are rewritten to a random state, maximizing entropy. The specific trigger conditions, response times, and destruction mechanisms are proprietary. 3.6 Layer 6: Side-Channel Intrusion Detection The system continuously monitors four side channels: electromagnetic emissions, thermal patterns, acoustic vibrations, and power consumption. The fundamental equation for anomaly detection is: Anomaly_Score = Neural_Network(EM, Thermal, Acoustic, Power) The specific neural network architecture, training data, and detection thresholds are proprietary. 3.7 Layer 7: Quantum-Resistant Cryptography All internal data is encrypted using NIST-approved Post-Quantum Cryptography algorithms, with key distribution via quantum protocols. The fundamental equation for QKD security is: Key_Rate >= Detection_Rate - Error_Rate - Privacy_Amplification The specific implementation details and security parameters are proprietary. 4. INTEGRATED SYSTEM ARCHITECTURE The Quantum Citadel consists of five main units: - Unit 1: Isolated Quantum Computing Unit - Unit 2: Secure Optical Input Unit - Unit 3: Comprehensive Physical Monitoring Unit - Unit 4: Emergency Response Unit - Unit 5: Isolated User Interface The specific technical specifications, inter-unit communication protocols, and integration mechanisms are proprietary and represent the core innovation of this framework. 5. OPERATIONAL PROTOCOLS The framework establishes four fundamental operational protocols: - Protocol 1: Physical Isolation Verification - Protocol 2: Side-Channel Monitoring - Protocol 3: Quantum Key Update - Protocol 4: Physical Audit The detailed procedures, authorization requirements, and verification methodologies are proprietary. 6. MATHEMATICAL SECURITY ANALYSIS The comprehensive security analysis demonstrates that the probability of successful intrusion is physically negligible. The mathematical proof relies on the multiplicative effect of the seven layers: P(total_breach) = P(layer1) * P(layer2) * P(layer3) * P(layer4) * P(layer5) * P(layer6) * P(layer7) The specific probability calculations and security margins are proprietary. 7. CONTROLS AND CHALLENGES 7.1 Challenge 1: High Cost The implementation requires significant investment in quantum computing infrastructure, ultra-cooling systems, and specialized materials. 7.2 Challenge 2: Need for an Interdisciplinary Team Successful implementation requires expertise in quantum physics, cybersecurity, electronic engineering, optics, artificial intelligence, and cryptography. 7.3 Challenge 3: Maintenance Difficulty The system requires specialized maintenance procedures and trained personnel. 7.4 Challenge 4: Balancing Security and Usability The framework must balance absolute security with practical usability for authorized users. 8. PRACTICAL APPLICATIONS 8.1 Central Banks Protecting cash reserves and financial systems from advanced cyber threats. 8.2 Military and Defense Protecting command and control systems from electronic warfare and satellite-based attacks. 8.3 Critical Infrastructure Protecting electricity, water, and transportation networks from terrorist attacks. 8.4 Healthcare Protecting national genome data and sensitive medical information. 8.5 Space Protecting satellite systems and space assets from cyber intrusion. 9. CONCLUSION AND FUTURE DIRECTIONS The Quantum Citadel for AI presents a comprehensive physical framework that provides an unprecedented level of security for critical superintelligent AI systems. By leveraging fundamental laws of physics rather than computational assumptions, the system achieves near-absolute protection against all known forms of cyber intrusion, including advanced satellite attacks. 9.1 Main Achievements 1. Theoretical proof that physical security surpasses software security 2. Establishment of physical foundations for each layer 3. Design of an integrated system architecture concept 4. Establishment of the conceptual framework for operational protocols 5. Founding the field of physical-quantum cybersecurity 9.2 Future Steps 1. Building a practical prototype (requires proprietary technical specifications) 2. Conducting comprehensive penetration testing 3. Obtaining international security certifications 4. Developing international standards 5. Commercial deployment of the system 9.3 Expected Impact - Protecting critical infrastructure - Preventing major cyber attacks - Establishing a new standard for cybersecurity - Opening new avenues for scientific research 10. REFERENCES 1. Bennett, C. H., & Brassard, G. (2014). Quantum cryptography: Public key distribution and coin tossing. Theoretical Computer Science, 560, 7-11. 2. Gisin, N., Ribordy, G., Tittel, W., & Zbinden, H. (2002). Quantum cryptography. Reviews of Modern Physics, 74(1), 145-195. 3. Arute, F., Arya, K., Babbush, R., Bacon, D., Bardin, J. C., Barends, R., ... & Martinis, J. M. (2019). Quantum supremacy using a programmable superconducting processor. Nature, 574(7779), 505-510. 4. National Institute of Standards and Technology. (2022). Post-Quantum Cryptography Standardization. NIST IR 8447. 5. Kocher, P., Jaffe, J., & Jun, B. (1999). Differential power analysis. In Advances in Cryptology—CRYPTO'99 (pp. 388-397). Springer. 6. Anderson, R. J. (2020). Security Engineering: A Guide to Building Dependable Distributed Systems (3rd ed.). Wiley. 7. Preskill, J. (2018). Quantum Computing in the NISQ era and beyond. Quantum, 2, 79. 8. Shor, P. W. (1997). Polynomial-time algorithms for prime factorization and discrete logarithms on a quantum computer. SIAM Journal on Computing, 26(5), 1484-1509. 9. Elrakhawi, M. K. A. (2026). Towards Neuro-Legal Metrology: The Legal Cognitive Fingerprint Protocol for Quantifying Criminal Intent. Zenodo. https://doi.org/10.5281/zenodo.20665078 10. Elrakhawi, M. K. A. (2026). Quantum Predictive Justice: A Mathematical Framework for Predicting Crimes Before Cognitive Collapse. Zenodo. https://doi.org/10.5281/zenodo.20665925 11. Ott, D., & Heintze, N. (2014). Securing unidirectional network device traffic. IEEE Security & Privacy, 12(5), 87-91. 12. Pirandola, S., Andersen, U. L., Banchi, L., Berta, M., Bunandar, D., Colbeck, R., ... & Wallden, P. (2020). Advances in quantum cryptography. Advances in Optics and Photonics, 12(4), 1012-1236. 13. Nielsen, M. A., & Chuang, I. L. (2010). Quantum Computation and Quantum Information. Cambridge University Press. 14. Schneier, B. (2015). Secrets and Lies: Digital Security in a Networked World. Wiley. 15. Stallings, W. (2020). Cryptography and Network Security: Principles and Practice (8th ed.). Pearson. --- CONTACT INFORMATION For technical consultations, licensing opportunities, or access to proprietary implementation details, please contact: Dr. Mohamed Kamal Arafa Elrakhawi Email: elrakhawimohame@gmail.com Note: The complete technical specifications, implementation protocols, and proprietary equations governing the Quantum Citadel framework are available exclusively through direct consultation with the author. This paper presents only the theoretical framework and does not disclose the specific technical details necessary for implementation.

    elrakhawi, mohamed kamal arafa · 2026

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  22. Stratospheric Signatures in Monsoon Cloud Composition: A Re-evaluation of Equatorial Vertical Transport

    hazin, shmulik · 2026

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  23. Minimum Age of Criminal Responsibility in Brunei Darussalam: A Comparative Doctrinal Analysis

    Ahmad Masum, Yusuf Ibrahim Arowosaiye, Hajah Hanan Hj Awang Abdul Aziz, Rajali Haji Aji · 2026 · European Journal of Arts, Humanities and Social Sciences

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  24. Overview of the Argentine Lawsuit against the crimes of the Franco regime: outcomes and challenges

    Alejandro Lerena Garcia · 2021 · Journal of Political Sciences & Public Affairs

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  25. The Nexus Between Security Sector Governance/Reform and Sustainable Development Goal-16

    Dursun-Özkanca, Oya · 2021

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  26. The Way Ahead? Access to Justice, Public Interest Lawyering and the Right to Legal Aid in South Africa: the Nkuzi case

    Jeremy Perelman · 2005 · Stanford Journal of International Law

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    • not scoredOpen access status: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
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    • not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
  27. Urban vs. Rural Lifestyles in terms of Theories of Cultural Globalization

    Mohammad Najjarzadeh · 2013 · جامعه شناسی کاربردی

    uncertain Transparent signal score 58/100 · policy 1.0.0

    Found in doaj · no DOI

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    • supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
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    • cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer