Parenting a child with special educational needs - challenges, barriers, problems by Małgorzata Dankowska-Kosman

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Constrained Bayesian Optimization: A Review by Sasan Amini, Inneke Vannieuwenhuyse, Alejandro Morales-Hernandez

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Predicting heat transfer Performance in transient flow of CNT nanomaterials with thermal radiation past a heated spinning sphere using an artificial neural network: A machine learn... by S.R. Mishra, P.K. Pattnaik, Rupa Baithalu, P.K. Ratha, Subhajit Panda

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An optimal global biochar application strategy based on matching biochar and soil properties to reduce global cropland greenhouse gas emissions: findings from a global meta-analysi... by Debo He, Zhixin Dong, Bo Zhu

“…In this study, the impact of biochar surface functional groups on soil GHG emissions was investigated using molecular model calculation. …”
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Automatic extraction of upper-limb kinematic activity using deep learning-based markerless tracking during deep brain stimulation implantation for Parkinson's disease: A proof of c... by Sunderland Baker, Anand Tekriwal, Gidon Felsen, Elijah Christensen, Lisa Hirt, Steven G Ojemann, Daniel R Kramer, Drew S Kern, John A Thompson

“…We describe our application of deep learning-based computer vision to conduct markerless tracking for measuring motor behaviors of patients undergoing DBS surgery for the treatment of Parkinson's disease. …”
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ET-Mamba: A Mamba Model for Encrypted Traffic Classification by Jian Xu, Liangbing Chen, Wenqian Xu, Longxuan Dai, Chenxi Wang, Lei Hu

“…During the fine-tuning phase, the agent attention mechanism is adopted in the feature extraction phase to achieve global information modeling at a low computational cost, and the SmoothLoss function is designed to solve the problem of the insufficient generalization ability of cross-entropy loss function during training. …”
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The importance of developing healthy personal boundaries of students for building a sustainable work-life balance by Mariya S. Volkova, Anastasiya A. Silivonenko, Liubov V. Fialkina

“…This goal is achieved by solving the following tasks: learning the main theoretical approaches to describing the concept of students personal boundaries; identifying types and functions of personal boundaries; analyzing violations of personal space; considering ways of defending boundaries. …”
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Cognitive abilities in a sample of young Swedish children by Ingela Clausén Gull, Johanna Stålnacke, Lilianne Eninger, Laura Ferrer-Wreder, Kyle Eichas

“…Further, young children are also acquiring and deepening their language and preliteracy skills which are important for later academic learning. Central to cognitive abilities are the processes that enable deliberate and goal-oriented actions, which fall under the conceptual umbrella of executive functions (EFs). …”
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Harnessing aromatic properties for sustainable bio-valorization of lignin derivatives into flavonoids by Si-Yu Zhu, Na Li, Zhi-Hua Liu, Ying-Jin Yuan, Bing-Zhi Li

“…In this review, we prospect sustainable, atom-economic functionalization routes from lignin-derived aromatics to flavonoids by leveraging lignin’s inherent aromaticity. …”
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MONITORING OF THE CURRENT STATUS OF STUDENTS AS A MEANS OF INCREASING THE EFFECTIVENESS OF EDUCATIONAL PROCESS by M. V. Alyushin, L. V. Kolobashkina

“…It is shown that the system parameters characterising heart rate variability (HRV) can be used to assess the level of psycho-physiological adaptation of students to the learning process in general, as well as their responses to the complexity of training and control activities. …”
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Assessing Practical General English Textbook: An Analysis of Overall Quality and Intercultural Communicative Competence Attributes [In English] by Hamed Badpa, Esmail Zare Behtash

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Recent advances in metal oxide-biochar composites for water and soil remediation: A review by Hermann Tamaguelon Dzoujo, Victor Odhiambo Shikuku, Sylvain Tome, Aurelle Clandy Ntinkam Simo, Emily C. Ng'eno, Zachary M. Getenga, Marie Annie Etoh, David Daniel Joh Dina

“…This review discusses recent advancements on the potential, limitations, and prospects of using metal-biochar composites for wastewater treatments and soil remediation. Functionalization of biochar with metal oxides can exacerbate the specific surface area up to 98 %, and diminish the porosity structure up to 89 %. …”
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Strengthening Family Bonds: A Systematic Review of Factors and Interventions That Enhance Family Cohesion by Nicolette V. Roman, Tolulope V. Balogun, Letitia Butler-Kruger, Solomon D. Danga, Janine Therese de Lange, Anja Human-Hendricks, Fundiswa Thelma Khaile, Kezia R. October, Olaniyi J. Olabiyi

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Automatic Recognition of Motor Skills in Triathlon: A Novel Tool for Measuring Movement Cadence and Cycling Tasks by Stuart M. Chesher, Carlo Martinotti, Dale W. Chapman, Simon M. Rosalie, Paula C. Charlton, Kevin J. Netto

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Integrated analysis of single-cell RNA-seq and spatial transcriptomics to identify the lactylation-related protein TUBB2A as a potential biomarker for glioblastoma in cancer cells... by Yifan Xu, Chonghui Zhang, Jinpeng Wu, Pin Guo, Nan Jiang, Chao Wang, Yugong Feng

“…Furthermore, the machine learning-based model identified SSBP1, RPA3 and TUBB2A as potential biomarkers for GBM. …”
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Stress, Anxiety and Depression in First-year Medical Undergraduates and Coping Strategies Employed during COVID-19-induced Online Learning: A Cross-sectional Study from North India by Rashmi Malhotra, Manisha Naithani, Anita Verma, Yogesh Bahurupi, Kanchan Bisht, Brijendra Singh, Tanmay Joshi

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Benchmarking reinforcement learning and accurate modeling of ground source heat pump systems: Intelligent strategy using spiking recurrent neural network combined with spider WASP... by Sana Qaiyum, Kashif Irshad, Mohamed E. Zayed, Salem Algarni, Talal Alqahtani, Asif Irshad Khan

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Cost-Effectiveness Analysis of a Machine Learning–Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at... by Charlotte Havreng-Théry, Arnaud Fouchard, Fabrice Denis, Jacques-Henri Veyron, Joël Belmin

“…After each home visit, the home care aides completed a questionnaire on participants’ functional status using a smartphone app, and the information was processed in real time by a previously developed machine learning algorithm that identifies patients at risk of an emergency visit within 7 to 14 days. …”
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Combining Machine Learning With Real-World Data to Identify Gaps in Clinical Practice Guidelines: Feasibility Study Using the Prospective German Stroke Registry and the National Ac... by Sandrine Müller, Susanne Diekmann, Markus Wenzel, Horst Karl Hahn, Johannes Tuennerhoff, Ulrike Ernemann, Florian Hennersdorf, Max Westphal, Sven Poli

“…ObjectiveThis study aims to leverage real-world data coupled with machine learning (ML) techniques to systematically identify and quantify gaps in German thrombolysis-in-stroke guidelines. …”
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The Experience of Using of Social and Creative Activity in the Psychological Rehabilitation of People with Disabilities by Romanovsky N.V.

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