ARTIFICIAL INTELLIGENCE IN ACADEMIA: OPPORTUNITY OR CHALLENGE? by L.H. Grigoryan, M. V. Badalyan, A.Z. Grigoryan

“…On the other hand, the growing reliance on AI raises serious concerns related to academic integrity, data privacy, algorithmic bias, and the potential deskilling of educators. …”
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Social Media and Men’s Health: Separating Science from Speculation in Andrology by Michael George, Vaibhav Modgil, Ian Pearce, Theodora Stasinou

“…Amongst posts, there has been a shift towards highly engaging short-form video content, which is particularly popular with young adults. …”
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Impact of Climate Change on the Distribution of <i>Cinnamomum malabatrum</i> (Laurales—Lauraceae), a Culturally and Ecologically Important Species of Malabar, Western Ghats, India... by Mukesh Lal Das, Sarat Chandran, Sreenath Subrahmanyam

“…The predicted range shifts and contraction of suitable habitats for the species indicate significant challenges ahead, especially in the Malabar midlands and coastal plains—areas of high endemicity. …”
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Adaptive data embedding for curved spaces by Anoop Praturu, Tatyana O. Sharpee

“…The ability to discern subtle changes and structural shifts showcases the utility of this approach in understanding complex data dynamics.…”
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An Operational Matrix Technique Based on Chebyshev Polynomials for Solving Mixed Volterra-Fredholm Delay Integro-Differential Equations of Variable-Order by Kamal R. Raslan, Khalid K. Ali, Emad M. H. Mohamed, Jihad A. Younis, Mohamed A. Abd El salam

“…In this work, an algorithm for finding numerical solutions of linear fractional delay-integro-differential equations (LFDIDEs) of variable-order (VO) is introduced. …”
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Securing Communication Networks at the Physical Layer: A DRL and Phase Optimization Approach by Mian Muhammad Kamal, Syed Zain Ul Abideen, Amin Sharafian, Anwar Hassan Ibrahim, Muhammad Islam, Shabana Habib

“…Real-time control of the RIS phase shifts is enabled through a deep deterministic policy gradient (DDPG) algorithm and this control significantly changes the trade-off between security and energy wastage. …”
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Random walk based snapshot clustering for detecting community dynamics in temporal networks by Filip Blašković, Tim O. F. Conrad, Stefan Klus, Nataša Djurdjevac Conrad

“…This allows us to detect significant structural shifts over time, such as the splitting or merging of communities or their births and deaths. …”
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Variational Quantum Simulation: A Case Study for Understanding Warm Starts by Ricard Puig, Marc Drudis, Supanut Thanasilp, Zoë Holmes

“…However, our study highlights scenarios where a good minimum shifts outside the region with trainability guarantees. …”
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Improving Pulsar Timing Precision with Single Pulse Fluence Clustering by Sofia V. Sosa Fiscella, Michael T. Lam, Maura A. McLaughlin

“…Finally, we computed the weighted average TOA and TOA error, the latter as a metric of the total timing precision for the epoch. The TOA is shifted relative to the one obtained without clustering, and we can estimate the shift with this weighting using the same data. …”
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Identification of potential metabolic biomarkers and immune cell infiltration for metabolic associated steatohepatitis by bioinformatics analysis and machine learning by Haoran Xie, Junjun Wang, Qiuyan Zhao

“…Abstract Background: Metabolic associated steatohepatitis (MASH) represents a severe subtype of metabolic associated fatty liver disease (MASLD), with an increased risk of progression to cirrhosis and hepatocellular carcinoma. The nomenclature shift from nonalcoholic steatohepatitis (NASH)/nonalcoholic fatty liver disease (NAFLD) to MASH/MASLD, underscores the pivotal role of metabolic factors in disease progression. …”
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A numerical scheme to simulate the distributed-order time 2D Benjamin Bona Mahony Burgers equation with fractional-order space by Hais Azin, Omid Baghani, Ali Habibirad

“…The 2D-modified orthonormal normalized shifted Ultraspherical polynomials are derived from 1Dmodified orthonormal normalized shifted Ultraspherical polynomials and 2D-modified orthonormal normalized shifted Ultraspherical polynomials and the orthonormal normalized shifted Ultraspherical polynomials are applied to approximate of the space and time variables, respectively. …”
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Heterogeneous Differential Evolution for Numerical Optimization by Hui Wang, Wenjun Wang, Zhihua Cui, Hui Sun, Shahryar Rahnamayan

“…Differential evolution (DE) is a population-based stochastic search algorithm which has shown a good performance in solving many benchmarks and real-world optimization problems. …”
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Bidding strategies for virtual power plants under the electricity-carbon joint market taking into account wind and solar uncertainties by Shuangchi ZHAO, Hong LIN, Haiyun WANG

“…The model is then solved as a mixed-integer linear program using the column-and-constraint generation algorithm, strong duality and the Big-M method. Case studies confirm the feasibility and effectiveness of the proposed strategy.…”
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ON THE CHARACTERIZATION OF SCALING FUNCTIONS ON NON-ARCHEMEDEAN FIELDS by Ishtaq Ahmed, Owias Ahmad, Neyaz Ahmad Sheikh

“…In real life application all signals are not obtained from uniform shifts; so there is a natural question regarding analysis and decompositions of these types of signals by a stable mathematical tool.  …”
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Study of the Fatigue Life and Weight Optimization of an Automobile Aluminium Alloy Part under Random Road Excitation by A. Saoudi, M. Bouazara, D. Marceau

“…This new method reduces calculation time; It takes into account the multipoint excitation signal shifted in time, giving a tangle of the constraint signals of the material mesh elements; It also reduces programming costs. …”
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Hybrid Finite Differences Technique for Solving the Nonlinear Fractional Korteweg-De Vries-Burger Equation by almutasim Hamed, Ekhlass Al-Rawi

“…This study presents a new algorithm for effectively solving the nonlinear fractional Korteweg-de Vries-Burger equation (NFKDV-B) using a hybrid explicit finite difference technique with the Adomian polynomial (HEFD). …”
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INFLUENCE OF MAIN GEAR RATIO ON CAR FUEL EFFICIENCY IN THE DRIVE CYCLE by S. A. Gorozhankin, N. V. Savenkov, V. V. Ponyakin

“…Therefore, the corresponding values of the mass fuel consumption and the gear shifting algorithm are proposed in the article. Discussion. …”
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Efficient Chlorophyll Prediction and Sampling in the Sea: A Real-Time Approach With UCB-Based Path Planning by Perihan Karakose, Cafer Bal

“…In the second phase of the study, an exhaustive search algorithm is combined with reward functions like Upper Confidence Bound (UCB), entropy, and variance reduction. …”
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Speech Emotion Recognition Using a Multi-Time-Scale Approach to Feature Aggregation and an Ensemble of SVM Classifiers by Antonina STEFANOWSKA, Sławomir Krzysztof ZIELIŃSKI

“…By contrast, in the proposed method, audio features are aggregated simultaneously using time windows of different lengths (a multi-time-scale approach), hence, potentially better utilizing information carried at phonemic, syllabic, and prosodic levels compared to the traditional approach. A genetic algorithm is employed to optimize the feature extraction procedure. …”
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Edge-LLM Inference With Cost-Aware Layer Allocation and Adaptive Scheduling by Sama Habibi, Ozgur Ercetin

“…We propose two mechanisms: the Fair Cost-Efficient Incentive Mechanism (FCIM) for task and layer assignment, and the Adaptive Dynamic Scheduling Algorithm (ADSA) for execution scheduling on individual devices. …”
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