A New Automatic Hydrological Station Relocation Algorithm (ASRA) for Moving Hydrological Stations Onto a Simulated Digital River Network by Kun Wang, Denghua Yan, Zuhao Zhou, Baisha Weng, Tianling Qin, Wuxia Bi, Siyu Liu

“…A Python program was developed and incorporated into an ArcGIS toolbox that features user‐friendly attributes, enabling swift computation and accurate rectification, as a result of building upon our method. …”
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A theoretical study on the effect of heteroatoms (N, B, Si) on the interaction of aluminum clusters with a carbon graphene-like plane by E. M. Demianenko, M. I. Terets, L. M. Ushakova, S. V. Zhuravskyi, Yu. I. Sementsov, V. V. Lobanov, O. V. Filonenko, V. S. Kuts, A. G. Grebenyuk, M. T. Kartel

“…In this regard, in order to predict the features of the interaction of aluminum itself with the surface of carbon nanomaterials, it is advisable to model such processes using quantum chemistry methods. …”
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Unravelling the Link between Math Anxiety and Math Performance of Grade 6 Pupils by Edmalyn Galano, Patricia Mae Calica, Jae Anne Nisperos, Helen Marie Zaragoza, Lailanie Soriano, Oscar Jr. Ancheta

“…Correlation analysis showed a moderate negative relationship between anxiety and performance (r = -0.58, p = 0.049), suggesting that higher anxiety levels are associated with lower academic achievement.In response to these findings, the researchers developed an intervention program titled Math3matics: Empower, Excel, Exceed. The program features confidence-building exercises, guided problem-solving, peer collaboration, and interactive activities. …”
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ED-Stacking：A Construction Method of Few-shot Prediction Model for Beef Microbial Growth Based on Ensemble Learning by Hanqiang LI, Yi CHEN, Yufei GAO, Kun HOU, Liping SONG, Jing LI

“…Under the current technological conditions, microbial detection was complicated and time-consuming, which leaded to the problem of lagging detecting results and limited sample size. …”
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A Black Box Doubly Fed Wind Turbine Electromechanical Transient Structured Model Fault Ride-Through Control Identification Method Based on Measured Data by Xu Zhang, Shenbing Ma, Jun Ye, Lintao Gao, Hui Huang, Qiman Xie, Liming Bo, Qun Wang

“…This unavailability creates modeling challenges that compromise accuracy, ultimately affecting grid-connected power generation performance. Aiming at the problem of accurate modeling of fault ride-through control of new energy turbine “black box” controllers, this paper proposes an accurate identification method of fault ride-through control characteristics of doubly fed wind turbines based on hardware-in-the-loop testing. …”
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THE USE OF THE ELEMENTS OF MORPHOECOLOGICAL ADAPTATIONS OF ORGANISMS TO THE ENVIRONMENT UNDER PALEOGEOGRAPHIC RECONSTRUCTIONS OF BIOTAS OF TETIYSKY DESERT-STEPPE REGION (BUILDING S... by G. M. Abdurakhmanov, I. V. Shokhin, A. A. Teymurov, A. G. Abdurakhmanov, A. A. Gadzhiev, M. G. Daudova, M. Z. Magomedova, Yu. Yu. Ivanushenko

“…In this paper, morphological adaptation of the feet is considered closely related to the features of lifestyle and environmental conditions, mainly the soil. …”
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Robust handling of extremes in quantile mapping – “Murder your darlings” by P. Berg, T. Bosshard, D. Bozhinova, L. Bärring, J. Löw, C. Nilsson, G. Strandberg, J. Södling, J. Thuresson, R. Wilcke, W. Yang

“…We identify a two-step solution that works well for this problem: </p><ol><li> <p id="d2e177">We refer to the first step as “Murder your darlings”. …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…Hence chemometrics based on artificial neural network (ANN) algorithms have become increasingly popular in LIBS analysis due to their extraordinary ability in nonlinear feature modeling. The hidden layer activation functions are key to ANN model performance, yet common activation functions usually suffer from problems such as gradient vanishing (e.g., Sigmoid and Tanh) and dying neurons (e.g., ReLU). …”
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LMVT: A hybrid vision transformer with attention mechanisms for efficient and explainable lung cancer diagnosis by Jesika Debnath, Al Shahriar Uddin Khondakar Pranta, Amira Hossain, Anamul Sakib, Hamdadur Rahman, Rezaul Haque, Md.Redwan Ahmed, Ahmed Wasif Reza, S M Masfequier.Rahman Swapno, Abhishek Appaji

“…Furthermore, we integrate attention mechanisms based on the Convolutional Block Attention Module (CBAM) and feature selection techniques derived from the Simple Gray Level Difference Method (SGLDM) to improve discriminative focus and minimize redundancy. …”
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Multi-Class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum by Yuanming Zhang, Jing Lu, Fei Chen, Haoliang Du, Xia Gao, Zhibin Lin

“…Our experiments reveal that spatial spectra are particularly effective at reducing the 14-class problem into a binary one. On the other hand, EEG features are more discriminative and play a crucial role in precisely identifying the final attended direction within this reduced 2-class set. …”
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Medical Device Failure Predictions Through AI-Driven Analysis of Multimodal Maintenance Records by Noorul Husna Abd Rahman, Khairunnisa Hasikin, Nasrul Anuar Abd Razak, Ayman Khallel Al-Ani, D. Jerline Sheebha Anni, Prabu Mohandas

“…The study proves a reduction in intervention from 18 to 8 features and a reduction in training time from 1660.5 to 901.66 seconds for comprehensive model development.…”
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Comparative Genome Analysis of Piscine <i>Vibrio vulnificus</i>: Virulence-Associated Metabolic Pathways by Thararat Phurahong, Patcharee Soonson, Jumroensri Thawonsuwan, Varin Tanasomwang, Nontawith Areechon, Teerasak E-kobon, Sasimanas Unajak

“…Vibriosis caused by <i>Vibrio vulnificus</i> is a major problem in aquatic animals, particularly brown marble groupers (<i>Epinephelus fuscoguttatus</i>). …”
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Work addiction in nurses: a cross-sectional correlational study of latent profile analysis and burnout by Xinhui Liang, Yue Yin, Lating Zhang, Fang Liu, Yao Jia, Xiaoxia Liu, Mengyi Hu, Lijuan Gao, Xue Jiang

“…Abstract Background The nursing profession is known for its high intensity and high pressure, and burnout is prevalent among nurses.In recent years, work addiction has attracted attention as an emerging occupational psychological problem.However, there is a relative lack of research on nurses’ work addiction, especially in the case of its underlying features and its relationship with burnout.Identifying the underlying characteristics of nurses’ work addiction is of great significance for formulating targeted interventions to prevent and alleviate nurses’ burnout and improve the quality of nursing services. …”
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Phantom tumour: inflammatory pseudotumour of the liver: a rare case report and review of literature by Jesheen Mann, Akash Shukla, Biswa Ranjan Patra

“…Radiologically guided core biopsy with immunohistochemistry should be considered in cases of atypical liver lesions with inflammatory features.…”
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A hybrid CNN-BILSTM deep learning framework for signal detection of a massive MIMONOMA system by Mohamed A. Abdelhamed, Mennatalla Samy, Bassem E. Elnaghi, Ahmed Magdy

“…Deep learning (DL) signal detection methods solve this problem. In the proposed hybrid model, a convolutional neural network (CNN) and bidirectional feed-forward recurrent neural networks (RNNs) are combined to improve error optimization. …”
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A machine learning model accurately identifies glycogen storage disease Ia patients based on plasma acylcarnitine profiles by Joost Groen, Bas M. de Haan, Ruben J. Overduin, Andrea B. Haijer-Schreuder, Terry GJ Derks, M. Rebecca Heiner-Fokkema

“…Our approach included hyperparameter tuning and feature selection and generalization was checked using both nested cross-validation and a held-out test set. …”
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PRIMARY DENTAL PREVENTION OF CHILDREN'S POPULATION IN TECHNOGENIC REGION by E.N. Dychko, A.V. Schtompel, P.L. Sribnik

“… High incidence of basic dental disease poses the problem of their treatment and prevention in a number of the most important in the practice of dentistry. …”
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The Eurasian Economic Commission’s right to appeal to the Court of Justice of the Eurasian Economic Union: Prospects for development and the European Union experience by V. V. Voynikov, T. D. Artemenko

“…The authors conduct a brief comparative legal analysis of the powers of the Eurasian Economic Commission and the European Commission, as well as the competence of the European Court of Justice and the Court of EAEU. The main problem is highlighted - the lack of EEC's competence to apply to the Court of EAEU to resolve a dispute. …”
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Innovative aspects of enhancement of management processes in the higher educational institution on the basis of application of modern information and communication technologies by I. E. Zhukovskya

“…Applied researches on this problem, and also practical experience of the Tashkent state economic university are used. …”
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The relevance of creating a new combined ophthalmic drug with anti-inflammatory and antibacterial effects by L. I. Kucherenko, D. V. Okolzin

“…In the conditions of the full-scale invasion of the Russian Federation into Ukraine, the number of eye injuries and burns has significantly increased, which is the biggest problem of modern civilian and military medicine. …”
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