A novel approach to Lyapunov stability of Caputo fractional dynamic equations on time scale using a new generalized derivative by Michael Precious Ineh, Edet Peter Akpan, Hossam A. Nabwey

“…These examples highlighted the advantage of our definition of fractional-order derivative over integer-order approaches in capturing the intricacies of dynamic behavior.…”
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One More Time about the Age of Teachers in Russian Universities: Old Problems and New Trends by V. F. Pugach

“…It means this position is actually a “glass ceiling” for teachers in Russian higher education. …”
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Female Brain and Endocrinological Research-Veteran (FemBER-Vet) study: A study protocol for identifying endocrinological, lifestyle and psychosocial determinants of brain health ou... by Tamlyn Watermeyer, Elliott Atkinson, Glyn Howatson, Gill McGill, Christina Dodds, Paul Ansdell, Chinedu Udeh-Momoh

“…<h4>Methods</h4>The Female Brain and Endocrinological Research-Veteran (FemBER-Vet) Study will create a highly-phenotyped readiness cohort of ex-service persons as well as non-veterans to assess the impacts of, and risks associated with, military service on brain health, using state-of-the-art non-invasive cognitive, physiological and biomarker capture techniques. FEMBER-Vet will include 90 participants across three study groups (30 female veterans, 30 male veterans, 30 female civilians) to delineate the precise biological, socio-demographic, health, lifestyle, military-related, and life-course determinants of brain health outcomes (psychosocial, cognitive, neurophysiological, and other biomarkers).…”
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Command, Control and Co-Creation: Drivers and Barriers Faced by Professionals Co-Creating in the Slovenian Public Sector by Sanja Vrbek, Marlot Kuiper

“…Design/methodology/approach: The paper relies on two Slovenian case studies capturing the experience of professionals from the Ministry of Public Administration and the Municipality of Ljubljana. …”
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Correcting scale distortion in RNA sequencing data by Christopher Thron, Farhad Jafari

“…Abstract RNA sequencing (RNA-seq) is the conventional genome-scale approach used to capture the expression levels of all detectable genes in a biological sample. …”
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HSTCN-NuSVC: A Homogeneous Stacked Deep Ensemble Learner for Classifying Human Actions Using Smartphones by Sarmela Raja Sekaran, Ying Han Pang, Ooi Shih Yin, Lim Zheng You

“…In this model, multiple enhanced TCN networks with diverse architectures are organised parallelly to capture hierarchical spatial-temporal patterns from raw inertial signals. …”
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Learning to Listen to Non-spoken Voices. Including Young People With Intellectual Disabilities Who are Non-speaking as Primary Participants in Qualitative Research by Beverley Samways, Pauline Heslop

“…The application of psychoanalytic principles and physiology concepts which were incorporated for capturing data about the participants’ emotional experiences are discussed, alongside the evidence-based assumptions that were adopted as principles guiding interaction and interpretation of the data. …”
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A Longitudinal-Bending Hybrid Linear Ultrasonic Motor and Its Driving Characteristic by Huajie Qu, Chendong Liu, Lei Zhang, Jianjun Qu, Baoyu Song

“…As a new type of driver, linear ultrasonic motor (LUSM) is widely used in the high-tech field because of its low speed, high thrust, low noise, and no electromagnetic interference. However, as an actuator used in microdevices, most of the existing LUSMs are large in size and not compact in structure. …”
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Optimal Sizing of a Hybrid Renewable Photovoltaic-Wind System-Based Microgrid Using Harris Hawk Optimizer by Abdullrahman A. Al-Shamma’a, Hassan M. Hussein Farh, Abdullah M. Noman, Abdullah M. Al-Shaalan, Abdulaziz Alkuhayli

“…The findings revealed that the HHO, GOA, CSO, and coyote have acceptable performance in terms of capturing the global solution and the speed of convergence, with only minimal oscillations. …”
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Enhanced Bug Priority Prediction via Priority-Sensitive Long Short-Term Memory–Attention Mechanism by Geunseok Yang, Jinfeng Ji, Jaehee Kim

“…These features are processed through a Long Short-Term Memory (LSTM) network to capture sequential dependencies, and the outputs are further refined using an Attention mechanism to focus on the most relevant information for prediction. …”
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Applicability of Artificial Neural Networks to Predict Mechanical and Permeability Properties of Volcanic Scoria-Based Concrete by Aref M. al-Swaidani, Waed T. Khwies

“…This study shows that the use of ANN models provided a more accurate tool to capture the effects of five parameters (cement content, volcanic scoria content, water content, superplasticizer content, and curing time) on the investigated properties. …”
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Modelling and Experimental Investigation of an Active Damper by Rafael Luís Teixeira, Francisco Paulo Lépore Neto, José Francisco Ribeiro

“…The size of the orifice is adjusted by a controlled linear piezoelectric actuator that positions the conical core into a conical cavity. …”
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Comprehensive Environmental Monitoring System for Industrial and Mining Enterprises Using Multimodal Deep Learning and CLIP Model by Shuqin Wang, Na Cheng, Yan Hu

“…Finally, a multimodal LSTM model is leveraged to detect anomalies in the monitoring data by capturing long-term dependencies within time series information. …”
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FORMALIZATION OF THE CULTURAL HERITAGE MANAGEMENT MODEL AS A FACTOR OF TOURISM DEVELOPMENT IN THE RUSSIAN FEDERATION by Ernest E. Ibragimov, Ibraim E. Avdil’

“…In this regard, the importance of highlighting the internal structure of the cultural heritage management process as a factor in the development of tourism in the Russian Federation is actualized. The purpose of the study: to formalize the model of cultural heritage management as a factor of tourism development in the Russian Federation. …”
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The effects of environmental patents on renewable energy consumption by Mihaela Onofrei, Bogdan Narcis Fîrțescu, Florin Oprea, Dana Claudia Cojocaru

“…Thus, our aim was to capture the effects of environmental technology patents on renewable energy consumption in OECD Member States over the period 2000–2021. …”
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Rethinking the measurements and predictors of environmental degradation in Ethiopia: Predicting long-term impacts using a kernel-based machine learning approach by Tesfaye Etensa, Tekie Alemu, Mengesha Yayo

“…The relationships among these predictors are complex, often nonlinear, non-additive, and include reverse causality, making it difficult for traditional econometric models to capture them. Conventional CO₂ metrics also tend to overlook unique emission sources in developing countries, where emissions are closely linked to energy production, unsustainable agriculture, deforestation, and land use rather than industry. …”
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Variable Absorption of Clavulanic Acid After an Oral Dose of 25 mg/kg of Clavubactin® and Synulox® in Healthy Cats by Tom B. Vree, Eric Dammers, Eri van Duuren

“…Taking into account that the amoxicillin–to–clavulanic acid dose ratio in the two products tested was 4:1, the blood concentration ratios may actually vary much more, apparently without compromising the products’ high efficacy against susceptible microorganisms.…”
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Bridging gaps in healthcare: child health services and specialist care collaboration for young children with autism and coexisting conditions by Gudrun Nygren, Gudrun Nygren, Christopher Gillberg, Emilia Carlsson, Emilia Carlsson

“…Qualitative in-depth interviews were conducted to capture the perspectives of participating child health nurses. …”
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Machine learning-based prediction of antipsychotic efficacy from brain gray matter structure in drug-naive first-episode schizophrenia by Xiaodong Guo, Enpeng Zhou, Xianghe Wang, Bingjie Huang, Tianqi Gao, Chengcheng Pu, Xin Yu

“…Before initiating treatment, T1-weighted anatomical images were captured. The Positive and Negative Syndrome Scale and the Personal and Social Performance Scale were adopted to assess clinical symptoms and social function. …”
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The Law as a Drawbar, or Judicial Arbitrariness: Recidivism = Repetition of Crimes in the Framework of Circumstances Aggravating the Punishment by Ya. H. Lyzohub

“…According to the author, these judicial authorities have formally taken the formulation of the content of the repetition of offences and recidivism, which are legally saturated in the current Criminal Code of Ukraine. Thus, they actually ignored the increased public risk of recidivism against the backdrop of the repetition of offences. …”
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