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Tables Analytiques Des Titres Et Des Auteurs : Index Des Auteurs - Poej 1945-2010, Nada Corbani Akl, Abla Abi Nader Jun 2026

Tables Analytiques Des Titres Et Des Auteurs : Index Des Auteurs - Poej 1945-2010, Nada Corbani Akl, Abla Abi Nader

Proche-Orient, Études juridiques

No abstract provided.


Introduction, Nada Corbani Akl, Abla Abi Nader Jun 2026

Introduction, Nada Corbani Akl, Abla Abi Nader

Proche-Orient, Études juridiques

No abstract provided.


Tables Analytiques Des Titres Et Des Auteurs : Index Des Matières - Poej 1945-2010, Nada Corbani Akl, Abla Abi Nader Jun 2026

Tables Analytiques Des Titres Et Des Auteurs : Index Des Matières - Poej 1945-2010, Nada Corbani Akl, Abla Abi Nader

Proche-Orient, Études juridiques

No abstract provided.


De La Forme Significative Dans Le Discours Juridique : Contribution À La Méthodologie Du Droit, Nada Kfouri Khoury Jun 2026

De La Forme Significative Dans Le Discours Juridique : Contribution À La Méthodologie Du Droit, Nada Kfouri Khoury

Proche-Orient, Études juridiques

No abstract provided.


Avant-Propos, Ibrahim Najjar Jun 2026

Avant-Propos, Ibrahim Najjar

Proche-Orient, Études juridiques

No abstract provided.


Le Parlement Arabe, Gilbert Aoun Jun 2026

Le Parlement Arabe, Gilbert Aoun

Proche-Orient, Études juridiques

No abstract provided.


الإجتهاد اللبناني, Poej Jun 2026

الإجتهاد اللبناني, Poej

Proche-Orient, Études juridiques

No abstract provided.


Les Testaments Consulaires, Gilbert Aoun Jun 2026

Les Testaments Consulaires, Gilbert Aoun

Proche-Orient, Études juridiques

No abstract provided.


Le Contrat De Jeu Et De Pari En Droit Civil, Imad Nahas Jun 2026

Le Contrat De Jeu Et De Pari En Droit Civil, Imad Nahas

Proche-Orient, Études juridiques

No abstract provided.


L'Originalité Du Régime Juridique De L'Exécution Des Actes De Commerce, Georges Naffah Jun 2026

L'Originalité Du Régime Juridique De L'Exécution Des Actes De Commerce, Georges Naffah

Proche-Orient, Études juridiques

No abstract provided.


Compensation Des Créances Connexes, Ibrahim Fadlallah Jun 2026

Compensation Des Créances Connexes, Ibrahim Fadlallah

Proche-Orient, Études juridiques

No abstract provided.


Assessment Of Dihedral Angle Contribution To Roll-Stability Derivatives Using Datcom And Vlm Methods, Tarik Hassan Elsonni, Emad Qasem Hussein, Balsam H. Abed Jun 2026

Assessment Of Dihedral Angle Contribution To Roll-Stability Derivatives Using Datcom And Vlm Methods, Tarik Hassan Elsonni, Emad Qasem Hussein, Balsam H. Abed

Al-Farahidi Expert Systems Journal

This study investigates the lateral stability of a fixed-wing aircraft through the roll-moment stability derivative (C_lβ ), treated as the primary indicator of dihedral effect and overall roll stability. A coupled DATCOM-based analytical formulation and lifting-line/VLM modeling framework has been used to quantify the influence of the key geometric and aerodynamic parameters on the roll-stability derivative. Specifically, the influences of dihedral angle, angle of attack, and sideslip have been explored separately, followed by geometric factors such as aspect ratio, taper ratio, and sweep angle in a systematic way. It is observed that there is an increase in the dihedral angle …


At-Gpsr: Adaptive Trajectory To Support Geographic Routing Protocol In Uav Assisted Vanet, Bassam Hasan Jun 2026

At-Gpsr: Adaptive Trajectory To Support Geographic Routing Protocol In Uav Assisted Vanet, Bassam Hasan

Al-Farahidi Expert Systems Journal

Connectivity and data delivery latency in vehicular networks are strongly affected by the high dynamism of vehicular traffic, which depend on many random factors. Under the inevitable constraints imposed by road paths and free-flowing vehicular traffic conditions (e.g., low to medium vehicle density, high mobility, high speeds), these networks suffer from fast topology variations that lead to frequent disconnections. Consequently, communications experience increased data delivery latency. Establishing a connection between source and destination vehicles depends heavily on vehicle density along the road. UAV assistance becomes more necessary as vehicle density along the road decreases. Moreover, when a road segment is …


The Effect Of Heat Treatment On Mechanical And Physical Properties Of Hdpe Pipes For Drinking Water, Roya Noman Jun 2026

The Effect Of Heat Treatment On Mechanical And Physical Properties Of Hdpe Pipes For Drinking Water, Roya Noman

Al-Farahidi Expert Systems Journal

This research aims to investigate the effect of heat treatment on the physico-mechanical properties of HDPE pipes for drinking water. Pipe samples of varying thicknesses were subjected to heat treatment at temperatures of 60, 80, and 100°C for 2, 6, 24, and 48 hours. Experiments showed that regardless of the treatment temperature or time, some effect, however slight, will occur on the structure at the level of the amorphous transition regions. The longitudinal shrinkage values are clearly related to the heat treatment temperature. Treatments at 80°C showed an increase in some mechanical properties such as yield stress, necking stress, and …


Utilizing Bim Technology To Model The Engineering Systems Of The International Space Station, Lama Saoud, Fadi Kbeili Jun 2026

Utilizing Bim Technology To Model The Engineering Systems Of The International Space Station, Lama Saoud, Fadi Kbeili

Al-Farahidi Expert Systems Journal

The usage of Building Information Modeling (BIM) technology significantly benefits the AEC industry due to the BIM's capability to solve many discrepancies and avoid risks during the design and execution stages. This has been made possible by BIM's ability to simulate any structure in the virtual environment. The International Space Station (ISS) is the largest engineering structure ever placed in space around the Earth. The ISS has faced many obstacles during the assembly and operation periods due to design discrepancies, as its various parts were designed by Russia, the United States, Europe, Japan, and Canada. This research aims to explore …


Comparison Of Textile-Reinforced Mortar And Ferrocement In Torsional Strengthening Of Rc Beams Using Finite Element Analysis, Roula Taha, Ihssan Tarsha, Muneeb Al-Allaf Jun 2026

Comparison Of Textile-Reinforced Mortar And Ferrocement In Torsional Strengthening Of Rc Beams Using Finite Element Analysis, Roula Taha, Ihssan Tarsha, Muneeb Al-Allaf

Al-Farahidi Expert Systems Journal

Strengthening reinforced concrete (RC) elements is vital to rehabilitate aging infrastructure and adopting modern standards. While conventional designs focus on axial, shear, and bending forces, torsional moments become highly effective in specific beams. This study employs finite element analysis using ABAQUS to investigate effective strengthening strategies for enhancing the torsional performance of RC beams. Two strengthening systems, ferrocement and Textile Reinforced Mortar (TRM), were examined using two-sided and three-sided wrapping configurations. The numerical investigation evaluated torsional capacity, twist response, and crack propagation, with results compared to an unstrengthened control beam. The findings indicate that both strengthening techniques significantly improved stiffness …


Artificial Intelligence For Predictive Maintenance In Renewable Energy Assets: Wind Turbines, Solar Farms, And Energy Storage Systems, Bassam Rafea Hani, Ayman Abdulmajeed Radhi Jun 2026

Artificial Intelligence For Predictive Maintenance In Renewable Energy Assets: Wind Turbines, Solar Farms, And Energy Storage Systems, Bassam Rafea Hani, Ayman Abdulmajeed Radhi

Al-Farahidi Expert Systems Journal

The integration of Artificial Intelligence (AI) into predictive maintenance for renewable energy assets represents a significant advancement in modern energy management. This study reviews and analyzes AI applications in predictive maintenance across wind turbines, solar farms, and energy storage systems. It emphasizes the role of machine learning and deep learning algorithms in predicting failures before they occur, enhancing operational efficiency, and reducing maintenance costs. The paper also discusses challenges related to data quality, scalability, and system integration within renewable energy environments. Findings indicate that AI-based predictive maintenance significantly improves equipment reliability and system performance, paving the way toward smarter, more …


Dynamic Analysis Of The Rotary System With Elastically Coupled Drive And Working Rotors, Hassan Jamil Kouzy Jun 2026

Dynamic Analysis Of The Rotary System With Elastically Coupled Drive And Working Rotors, Hassan Jamil Kouzy

Al-Farahidi Expert Systems Journal

The problems of designing high-speed textile rotary systems are related to the search for new design schemes and the development of effective methods. This paper examines the issues of reducing loads in the supports of a rotary system, the design contains a drive rotor and a technological working rotor connected to it by means of an elastic spherical hinge, which, depending on the purpose, can be made in the form of a spindle or spinning chamber. A new design scheme was proposed for a rotary system with elastically coupled drive and working rotors, and a dynamic analysis methodology for the …


Smart City Utopia: Between Marketing And Humanization ``Epistemological Reading'', Fidaa Faez Zayna Jun 2026

Smart City Utopia: Between Marketing And Humanization ``Epistemological Reading'', Fidaa Faez Zayna

Al-Farahidi Expert Systems Journal

The review offers a critical reading of the politicization of contemporary urban problems. Recently, numerous headlines and ideas have emerged regarding the ongoing quest to meet planning standards that keep pace with significant developments in the special needs of the population, but this quest has not been neutral with respect to the main goal of achieving the ``humanization'' of the city's constituent elements. The review discusses whether Urban Media Marketing of the ``fashion'' of smart cities, smart planning and other attractive titles ``within the framework of ``Urban Marketing'' has produced cities that respect human privacy. The review also touches on …


Solving Some Heat Problems In The Sense Of The Non-Conformable Fractional Derivative By Using Modified Fourier Transform, Sami Injrou, Wadii Ali Jun 2026

Solving Some Heat Problems In The Sense Of The Non-Conformable Fractional Derivative By Using Modified Fourier Transform, Sami Injrou, Wadii Ali

Al-Farahidi Expert Systems Journal

In this paper, we present two new concepts in Fourier analysis: the Fourier series and the Fourier transform in the sense of non-conformable fractional calculus. Some of their main properties are proven. Using this new Fourier series, new approximations of some functions are given, a frequency spectrum of a signal is plotted, and several cases of the heat equations involving the time non-conformable fractional derivative are solved and graphically presented. Furthermore, the introduced new Fourier transform is used to solve a homogeneous space-time non-conformable fractional heat equation.


Agentic Ai Approach For Online Financial Fraud Detection, Shadi Saleh, Kelechi Osuji, Wolfram Hardt Jun 2026

Agentic Ai Approach For Online Financial Fraud Detection, Shadi Saleh, Kelechi Osuji, Wolfram Hardt

Al-Farahidi Expert Systems Journal

As digital payment systems facilitate billions of transactions every day, there is a high probability of fraudulent activities in these systems. Traditional fraud detection systems, including rule-based systems and machine learning-based systems, have three major limitations: lack of explainability in terms of regulatory requirements, lack of contextual reasoning in terms of rare behavioral patterns, and lack of interaction with human experts in fraud analysis. This paper proposes a novel agentic framework in fraud detection systems by integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) in context-aware reasoning based on historical transaction evidence. The framework is designed as a system …


Machine Learning Based Approaches To Survey Elderly Adults About The Perception Of The Coronavirus Crisis, Ouban Wannous Jun 2026

Machine Learning Based Approaches To Survey Elderly Adults About The Perception Of The Coronavirus Crisis, Ouban Wannous

Al-Farahidi Expert Systems Journal

The rapid digital transformation of society in recent years has resulted in the creation of vast databases available online, particularly benefiting businesses. The main challenge now is to effectively access and utilize this data to make informed business decisions. Artificial intelligence techniques, such as natural language processing and machine learning, have proven highly effective across various domains and present valuable opportunities for developing automated models to extract insights and uncover new information. This paper demonstrates the effectiveness of machine learning techniques in the field of social and economic sciences, focusing specifically on the task of classifying open-ended survey questions. We …


Computational Analysis Of A Single Air Bubble Rising In Quiescent Water Under Temperature Variations, Mokdad Hayawi Rahman, Muna Khalil Shehan, Emad Qasem Hussein, Farhan Lafta Rashid Jun 2026

Computational Analysis Of A Single Air Bubble Rising In Quiescent Water Under Temperature Variations, Mokdad Hayawi Rahman, Muna Khalil Shehan, Emad Qasem Hussein, Farhan Lafta Rashid

Al-Farahidi Expert Systems Journal

Two-phase fluid flow is widely encountered in petroleum, chemical, nuclear, and energy applications. Computational fluid dynamics (CFD) by ANSYS Fluent 17.2 has been employed in this work to simulate the rise of a single air bubble through stagnant water at different temperatures (0 °C, 25 °C, and 50 °C). In addition, a user-defined function(UDF)was developed and implemented to incorporate phase-change behavior and temperature-dependent properties. This study investigates how the buoyancy-driven bubble dynamics will be responsive to changes in liquid viscosity, surface tension, and density. The results demonstrated that increasing the temperature of water enhances the bubble rise velocity significantly; the …


Enhancement Of Mechanical Properties In 7050 Aluminum Alloy Using Zirconia Nanoparticle Reinforcements, Ahmed A. Ebraheem, Tahseen F. Abbas, Talib A. Jasim Jun 2026

Enhancement Of Mechanical Properties In 7050 Aluminum Alloy Using Zirconia Nanoparticle Reinforcements, Ahmed A. Ebraheem, Tahseen F. Abbas, Talib A. Jasim

Al-Farahidi Expert Systems Journal

Aluminum metal matrix composites (AMMCs), particularly those reinforced with ceramic nanoparticles, are critical materials for aerospace, automotive, and defense applications due to their superior strength-to-weight ratio. This study investigates the effect of zirconia (ZrO2) nanoparticles on the mechanical properties of a 7050 aluminum alloy matrix. Composites were fabricated via the stir-casting technique with ZrO2 reinforcements incorporated at varying weight fractions (0, 1, 2, 3, and 4 wt.%). A comprehensive mechanical characterization was conducted, evaluating hardness, tensile strength, and surface roughness. The results demonstrate that the inclusion of ZrO2 nanoparticles significantly enhances all measured properties. Hardness increased …


Method And Device For Assessing The Quality Of Geometrical Features On A Component, Christian A. Mohr, Vmt Vision Machine Technic Bildverarbeitungssysteme Gmbh, Frank Höfts, Marc-André Otto, Carsten Dierig Jun 2026

Method And Device For Assessing The Quality Of Geometrical Features On A Component, Christian A. Mohr, Vmt Vision Machine Technic Bildverarbeitungssysteme Gmbh, Frank Höfts, Marc-André Otto, Carsten Dierig

Defensive Publications Series

A method for assessing the quality of geometrical features on a component comprising at least the steps: a step a) of generating a 3D point cloud of the component comprising geometrical features of the component;  a step b) of determining a trace line along a preferred direction of the geometrical features; a step c) of generating a plurality of virtual two-dimensional section lines along the trace line; a step d) of assessing at least one quality feature based on the plurality of virtual two-dimensional section lines from step c).


Computational Assessment Of Live-Attenuated Measles Vaccine Stability In A Trehalose–Pullulan Glass Matrix: Bayesian Modeling Of Published Viral Thermal-Inactivation Kinetics With Trehalose–Capsid Molecular Dynamics Literature Synthesis, Chaiyapat Chuenglertsiri, Pattrick Chen Jun 2026

Computational Assessment Of Live-Attenuated Measles Vaccine Stability In A Trehalose–Pullulan Glass Matrix: Bayesian Modeling Of Published Viral Thermal-Inactivation Kinetics With Trehalose–Capsid Molecular Dynamics Literature Synthesis, Chaiyapat Chuenglertsiri, Pattrick Chen

Defensive Publications Series

This in-silico feasibility analysis discloses, as defensive prior art (CC BY 4.0), a hypothetical lyophilized presentation of live-attenuated measles vaccine designed to ease the 2-8 C cold-chain dependence that hampers elimination efforts in low- and middle-income countries. No wet-lab viral-titre, immunogenicity, or stability data are generated; all numerical predictions are computational extrapolations from peer-reviewed parameters. At elevated temperature the dominant failure mode is viral inactivation via capsid denaturation and envelope/genome damage; the realistic target is the WHO PQS VVM30 / Category 30 designation (30 days at 37 C with <= 1 log titre loss). The formulation embeds live-attenuated measles virus (MV-EZ or comparable) in an amorphous trehalose-pullulan glass (about 80/15 w/w), reconstituted on use. Feasibility is assessed through five analyses: a viral-inactivation activation-energy Bayesian prior from published measles thermal data (Galazka 1998) with morbillivirus/rotavirus/Sabin-poliovirus process comparators (Worrall 2000; Madan 2018; Shin 2018); a PyMC NUTS titre-retention posterior; a Couchman-Karasz mixed-glass Tg (about 80-88 C anhydrous); a Tang-Pikal lyophilization-cycle design (shelf <= -32 C, <= 50 mTorr); and a trehalose-protein / capsid-sugar molecular-dynamics literature synthesis. The benefit is a low-cost, off-patent, cold-chain-independent vaccine presentation kept in the public domain. Acknowledged prior art (Xerovac, heat-stable rotavirus, thermostable Sabin IPV, WHO PQS VVM30) is non-overlapping; no scCO2 desiccation step is claimed; genome-level damage is acknowledged as a separate pathway. This is a prior-art disclosure, not deployment, regulatory, or clinical guidance.


Computational Assessment Of Aluminium-Adjuvanted Vaccine Antigen Stability In A Trehalose–Pullulan Glass Matrix: Bayesian Modeling Of Published Antigen Thermal-Inactivation Kinetics With Trehalose–Antigen Molecular Dynamics Literature Synthesis, Chaiyapat Chuenglertsiri, Pattrick Chen Jun 2026

Computational Assessment Of Aluminium-Adjuvanted Vaccine Antigen Stability In A Trehalose–Pullulan Glass Matrix: Bayesian Modeling Of Published Antigen Thermal-Inactivation Kinetics With Trehalose–Antigen Molecular Dynamics Literature Synthesis, Chaiyapat Chuenglertsiri, Pattrick Chen

Defensive Publications Series

This in-silico feasibility analysis discloses, as defensive prior art (CC BY 4.0), a hypothetical lyophilized presentation of aluminium-adjuvanted (alum) vaccines designed to remove the 2-8 C cold chain on which hepatitis A/B, DTaP, HPV, and pneumococcal-conjugate vaccines depend. No wet-lab antigen-binding, immunogenicity, or stability data are generated; all numerical predictions are computational extrapolations from peer-reviewed parameters. The dominant elevated-temperature failure mode is identified as antigen denaturation and irreversible aggregation, destroying conformational epitopes, rather than the slower aluminium-oxyhydroxide crystallization. The formulation embeds commercial Alhydrogel-grade aluminium oxyhydroxide carrying the adsorbed antigen in an amorphous trehalose-pullulan glass (about 80/15 w/w), reconstituted on use. …


Computational Assessment Of Lyophilized Insulin Stability In A Trehalose–Mannitol Matrix: Bayesian Shelf-Life Modeling From Published Solid-State Kinetic Data With Trehalose–Insulin Molecular Dynamics Literature Synthesis, Chaiyapat Chuenglertsiri, Pattrick Chen Jun 2026

Computational Assessment Of Lyophilized Insulin Stability In A Trehalose–Mannitol Matrix: Bayesian Shelf-Life Modeling From Published Solid-State Kinetic Data With Trehalose–Insulin Molecular Dynamics Literature Synthesis, Chaiyapat Chuenglertsiri, Pattrick Chen

Defensive Publications Series

This in-silico feasibility analysis discloses, as defensive prior art (CC BY 4.0), a hypothetical lyophilized insulin formulation engineered for amorphous trehalose-glass storage to remove the 2-8 C cold chain that constrains this WHO Essential Medicine. No wet-lab potency, stability, or bioequivalence data are generated; all numerical predictions are computational extrapolations from peer-reviewed parameters. The formulation is pre-formed Zn2+ R6-hexamer insulin embedded in an amorphous trehalose-dihydrate matrix (about 83% w/w of solids), with L-proline as a freeze-stage co-lyoprotectant (about 2-3%) and D-mannitol as a crystalline bulking agent (about 12-15%), reconstituted subcutaneously on use. Feasibility is assessed through five analyses: an activation-energy …


Reputation-Based Admission Control For Cryptographic Inventory Leases, N/A Jun 2026

Reputation-Based Admission Control For Cryptographic Inventory Leases, N/A

Defensive Publications Series

In online shopping, autonomous agents can find items much faster than a person can confirm a purchase. However, simply letting these bots hold items can lead to "denial-of-inventory" attacks where bad actors lock up all the stock. This system uses a reputation score to manage these temporary holds. An agent's eligibility to reserve an item, such as through a cryptographic lease, depends on its history. The score is updated based on whether the agent actually completes its purchases or just lets reservations expire. By linking access to proven reliability, this approach helps stop malicious bots while still allowing helpful shopping …


Mitigate Structural Blindness In Code Translation Using A Graph-Based Representation, Suddhasatwa Bhaumik, Nilesh Jaiswal, Saurabh Garg, Aniket Agrawal, Divya Malhotra, Arjit Shukla, Suchit Puri Jun 2026

Mitigate Structural Blindness In Code Translation Using A Graph-Based Representation, Suddhasatwa Bhaumik, Nilesh Jaiswal, Saurabh Garg, Aniket Agrawal, Divya Malhotra, Arjit Shukla, Suchit Puri

Defensive Publications Series

Conventional vector-based retrieval augmented generation systems exhibit structural blindness when used for code migration, severing critical architectural relationships like class inheritance and leading to the generation of non-functional code with high API hallucination rates. A described approach models a codebase as an interconnected property graph where source code is parsed into abstract syntax trees (ASTs) and mapped to a graph of code entities (nodes) and their dependencies (edges). A topological sort of this graph creates a dependency-aware translation queue, ensuring parent classes are processed before child classes. This method, which can be combined with a semantic vector search fallback for …