Volume 12 - Issue 8

Artificial Intelligence In Physical Education: Opportunities, Challenges, And Future Directions

Artificial Intelligence (AI) Is Transforming Physical Education By Improving Teaching, Fitness Assessment, Sports Performance Analysis, And Health Monitoring Through Technologies Such As Machine Learning, Computer Vision, Wearable Devices, And Intell... Artificial Intelligence (AI) Is Transforming Physical Education By Improving Teaching, Fitness Assessment, Sports Performance Analysis, And Health Monitoring Through Technologies Such As Machine Learning, Computer Vision, Wearable Devices, And Intelligent Analytics. This Study Aims To Examine The Opportunities, Challenges, And Future Directions Of AI In Physical Education. A Systematic Literature Review Was Conducted Using Peer-reviewed Publications And Reports From Major Academic Databases Published Between 2018 And 2026. The Findings Indicate That AI Enhances Personalized Learning, Fitness Monitoring, Sports Performance, Injury Prevention, And Evidence-based Coaching. However, Challenges Such As High Implementation Costs, Data Privacy Concerns, Limited Infrastructure, And Insufficient AI Literacy Among Educators Hinder Its Effective Adoption. The Study Concludes That AI Has The Potential To Create More Efficient, Inclusive, And Learner-centered Physical Education, Provided That Appropriate Infrastructure, Teacher Training, And Ethical Guidelines Are Established. Read more Read less

Analysis on Behavior of High Rise Irregular R.C. Structure Against Influence of Strong Strength of Wind Load

Rapid Urbanisation And Architectural Demand Have Increased The Use Of Slender High-rise Reinforced-concrete (RC) Buildings With Setbacks, Re-entrant Corners, Non-rectangular Plans, Twisting Forms, Unequal Stiffness Distributions, And Other Aerodynami... Rapid Urbanisation And Architectural Demand Have Increased The Use Of Slender High-rise Reinforced-concrete (RC) Buildings With Setbacks, Re-entrant Corners, Non-rectangular Plans, Twisting Forms, Unequal Stiffness Distributions, And Other Aerodynamic Or Structural Irregularities. Such Configurations Can Amplify Separation, Vortex Shedding, Torsional Loading, Cross-wind Response, Local Suction, And Occupant Discomfort Under Strong Winds. This Paper Systematically Reviews The Behaviour, Analysis And Mitigation Of High-rise Irregular RC Structures Subjected To Strong-wind Loading. A Hybrid Systematic And Structured Review Protocol Was Applied To Peer-reviewed Literature, Design Standards And Technical Guidance Published Principally Between 2020 And 2026, With Foundational Studies Retained Where Required. The Reviewed Evidence Was Classified Into Code-based Analytical Procedures, Boundary-layer Wind-tunnel Testing, Computational Fluid Dynamics (CFD) And Fluid–structure Interaction (FSI), Performance-based And Nonlinear Structural Analysis, Aerodynamic/structural Optimisation, Vibration Control, And Machine-learning Prediction. The Synthesis Shows That Irregular Geometry Cannot Be Represented Reliably Through A Single Generic Pressure Coefficient Or Equivalent-static Procedure. Wind Direction, Corner And Side Configuration, Aspect Ratio, Openings, Surrounding-building Interference, Turbulence Modelling, Damping, Modal Coupling And Torsional Eccentricity Strongly Govern Response. Reported Studies Demonstrate That Carefully Selected Irregular Or Modified Forms May Reduce Demand: One T-shaped Configuration Reduced Mean Base-moment Coefficient By 18.6%, Integrated CFD–structural Optimisation Reduced Concrete Volume By 35.71%, And Openings In A Triangular 40-storey Building Reduced Lateral Deformation By About 32–33%. Conversely, Other Shapes Increased Along-wind Base Moment Or Generated Larger Lift And Torque. Emerging Machine-learning Models Substantially Reduce Computational Or Wind-tunnel Burden, But Their Generalisation Remains Dependent On Dataset Diversity And Physics-consistent Validation. The Principal Gap Is The Limited Integration Of Directional Nonstationary Wind Climate, Validated Unsteady Aerodynamics, Nonlinear RC Behaviour, Uncertainty, And Serviceability Into A Unified Design Workflow. The Review Recommends A Tiered Framework Combining Code Screening, CFD/wind-tunnel Validation, Coupled Dynamic Analysis And Performance-based Verification For Reliable And Economical Design Of Irregular RC Towers. Read more Read less

Analysis Of High-Rise Building By Comparing Footing With Base Isolation And Without Base Isolation Using Etabs

High-rise Buildings Founded On Conventional Isolated, Combined, Or Raft Footings Transfer Earthquake Motion Directly Into The Superstructure, Whereas A Base-isolation Layer Modifies This Load Path By Introducing Controlled Lateral Flexibility And Ene... High-rise Buildings Founded On Conventional Isolated, Combined, Or Raft Footings Transfer Earthquake Motion Directly Into The Superstructure, Whereas A Base-isolation Layer Modifies This Load Path By Introducing Controlled Lateral Flexibility And Energy Dissipation Between The Foundation And The Building. This Review Synthesises Published Evidence On The Comparative Behaviour Of Fixed-base And Base-isolated High-rise Buildings And Translates The Findings Into A Reproducible ETABS Modelling Framework. A Structured Systematic Review Was Conducted For Publications From 2018 To July 2026 Using Scopus, Web Of Science, ScienceDirect, SpringerLink, Taylor & Francis, ASCE Library, Google Scholar, And Official Code Or Software Sources. Thirty-seven Studies Were Retained After Duplicate Removal, Title–abstract Screening, Full-text Eligibility Assessment, And Quality Scoring. The Review Covers Conventional Footing Idealisation, Lead-rubber Bearings, High-damping Rubber Bearings, Friction-pendulum Systems, Nonlinear Link Modelling, Response-spectrum Analysis, Nonlinear Time-history Analysis, Soil–structure Interaction, Near-fault Effects, Wind Serviceability, And Performance-based Optimisation. The Evidence Consistently Indicates That Appropriately Selected Isolators Lengthen The Effective Period And Reduce Superstructure Drift, Acceleration, Base Shear, And Overturning Demand, Although They Increase Displacement Demand At The Isolation Interface. A Reported 20-storey Case Achieved Average Base-shear Reductions Of 54–62% For Isolation Periods Of 4–5 S, While Other Studies Demonstrate That Vertical Motion, Pulse-like Records, Device Heating, Axial-load Variation, And Inappropriate Stiffness Assumptions Can Reduce The Apparent Benefit. The Principal Gaps Are Limited High-rise Validation, Inconsistent Reporting Of Isolator Properties, Insufficient Treatment Of Soil–foundation–isolator Interaction, And Weak Integration Of Wind And Seismic Design. The Paper Therefore Proposes Two ETABS Models Conventional Footing/fixed Base And Identical Superstructure With Nonlinear Isolation Links And A Common Set Of Response Measures For Technically Defensible Comparison. The Review Concludes That Base Isolation Is Not Automatically Superior; Its Benefit Depends On Verified Device Properties, Displacement Capacity, Ground-motion Selection, Foundation Compatibility, And Nonlinear Analysis Quality. Read more Read less

Hybrid Cryptographic Techniques For Secure Cloud Data Storage: A Review Of Algorithms, Architectures And Open Research Challenges

The Migration Of Institutional Record Keeping To Third-party Cloud Infrastructure Has Made Cryptographic Protection The Principal Instrument Through Which Data Owners Retain Control Over Information They No Longer Physically Possess. Because No Singl... The Migration Of Institutional Record Keeping To Third-party Cloud Infrastructure Has Made Cryptographic Protection The Principal Instrument Through Which Data Owners Retain Control Over Information They No Longer Physically Possess. Because No Single Cipher Simultaneously Offers Fast Bulk Encryption, Safe Key Exchange, Verifiable Integrity And User Authentication, The Research Community Has Converged On Hybrid Constructions That Combine Two Or More Primitives Inside A Common Architecture. This Paper Reviews The Hybrid Cryptographic Literature For Cloud Data Storage Published Between 2019 And 2026. Thirty Primary And Foundational Studies Are Organised Into A Six-branch Taxonomy Covering Symmetric–RSA Couplings, Elliptic-curve Hybrids, Multi-symmetric Cipher-diversity Designs, Blockchain-integrated Frameworks, DNA-inspired And Unconventional Methods, And Access-control Or Auditing-centred Schemes. For Each Branch The Review Summarises The Architectural Pattern, The Security Services Delivered, The Evaluation Methodology And The Reported Performance, And Then Contrasts The Branches Along Latency, Key-management Burden, Integrity Assurance And Deployment Maturity. The Analysis Reveals Persistent Weaknesses In The Field: Evaluation Datasets Are Rarely Standardised, Key-revocation Procedures Are Usually Left Unspecified, Quantum Resistance Is Acknowledged But Seldom Addressed, And Very Few Proposals Are Tested At Realistic Multi-tenant Scale. The Paper Closes With A Set Of Research Directions, Including Post-quantum Hybridisation, Standard Benchmark Corpora, Verifiable Key-lifecycle Management And Energy-aware Cipher Selection For Edge-assisted Clouds. Read more Read less