Experimental analysis of polymorphic microsatellite loci in Cladocera: mixed breeding strategy and population dynamics by Poroshina A.A., Sherbakov D.Yu.

“…We use primers predicted by an algorithm for DNA amplification from Daph- nia samples and capillary electrophoresis to detect polymorphic loci. …”
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Short-term wind power forecasting method for extreme cold wave conditions based on small sample segmentation by Lin Lin, Jinhao Xu, Jianfei Liu, Hao Zhang, Pengchen Gao

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Advanced Relay Coordination in Power Networks Considering Transformer Inrush and Motor Starting Currents via Weighted Mean Variance Optimizer by Mohammed H. Alqahtani, Abdelmonem Draz, Abdullah M. Shaheen, Attia El-Fergany

“…Consequently, a novel weighted mean variance (WMV) based methodology is interrogated in this research for attaining the optimal settings of overcurrent (OC) relays in mesh and radial networks. …”
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Depression Recognition Using Daily Wearable-Derived Physiological Data by Xinyu Shui, Hao Xu, Shuping Tan, Dan Zhang

“…The objective identification of depression using physiological data has emerged as a significant research focus within the field of psychiatry. The advancement of wearable physiological measurement devices has opened new avenues for the identification of individuals with depression in everyday-life contexts. …”
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A generalized machine learning framework to estimate fatigue life across materials with minimal data by Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos

“…In this research, a generalized machine learning (ML) framework is proposed to estimate the fatigue life of epoxy polymers and additively manufactured AlSi10Mg alloy materials, leveraging their failure surface void characteristics. …”
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Nanoparticles Enhanced Laser-Induced Breakdown Spectroscopy for Characterisation and Discrimination of Gemstones by Al-Juboori Haider, Haider Zhaib, Hang Wei, Roslan Sufi

“…Laser-induced breakdown spectroscopy (LIBS) is an excellent technique for rapid on-site investigations that attracts interest from diverse research areas. Gemmology is no exception. The application of LIBS for gemstone characterisation is limited due to ineffective ablation and crack formation, even more so with cost-effective, non-gated LIBS systems. …”
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Using Machine Learning to Identify the Dynamic Evolution Patterns of Negative Emotions in Perinatal Women: A Longitudinal Study in Southwest China by Yuan Zhang, Wenlong Li, Jian Zou, Guohui Yang, Xiaoni Zhong, Biao Xie

“…However, the existing research pays less attention to the heterogeneity of its negative emotional trajectory and the identification of high‐risk groups. …”
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Vowel-stemmed NUT participle variation in the Finnish used in the works of Mikael Agricola by Heidi Salmi, Jussi Salmi

“…This study answers whether there are statistically significant variations between NUT participle types caused by linguistic variables. The research shows that phonological variables affect NUT participle variation more than morphological ones. …”
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Coordinates-based meta-analysis for vestibular migraine and the underlying mechanisms behind it by Xiaoping Fan, Liang Dong, Hui Li, Kuiyun Wang, Jiying Zhou

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INTEGRATED ASSESSMENT AND MAPPING OF ANTHROPOGENIC IMPACT ON THE NATURAL ENVIRONMENT OF RUSSIAN REGIONS by V. S. Tikunov, S. K. Belousov

“…Based on the obtained set of indicators for the study, a two-stage evaluation algorithm developed by one of the authors was chosen [Tikunov, 1997]. …”
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Assessment of the stock status for greenland halibut (<i>Reinhardtius hippoglossoides matsuurae</i>) in the Okhotsk Sea by V. V. Kulik, I. I. Glebov, N. L. Aseeva, R. N. Novikov

“…It includes the additional filtering of the JABBA model result, its refinement with stringent tuning using the algorithm of No-U-Turn sampler, and checking additional parameters on hyperstability or hypersensitivity. …”
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Analyzing Method of the Absorption Capability of New Energy in Distribution Network with Consideration of Regional Self-discipline and Absorption Quality by Yan CHEN, Wei JIN, Wenbin WANG, Huibin LI, Shengfeng HAN, Kai JIA

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Improved Variational Bayes for Space-Time Adaptive Processing by Kun Li, Jinyang Luo, Peng Li, Guisheng Liao, Zhixiang Huang, Lixia Yang

“…Furthermore, this method fully exploits the joint sparsity of the Multiple Measurement Vector (MMV) model to achieve greater sparsity without compromising accuracy, and employs a first-order Taylor expansion to eliminate grid mismatch in the dictionary. The research presented in this paper enhances the moving target detection capabilities of STAP algorithms in complex environments and provides new perspectives and methodologies for the application of sparse signal reconstruction in related fields.…”
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Arrhythmogenicity of Various Anesthesia Techniques During Abdominal Cancer Surgery by M. M Shemetova, V. E. Khoronenko, A. A. Aleksin

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Early Detection of Surface Mildew in Maize Kernels Using Machine Vision Coupled with Improved YOLOv5 Deep Learning Model by Yu Xia, Ao Shen, Tianci Che, Wenbo Liu, Jie Kang, Wei Tang

“…In this study, a deep learning YOLOv5s algorithm based on machine vision technology was employed to develop a maize seed surface mildew detection model and to enhance its portability for deployment on additional mobile devices. …”
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Low Voltage Ride-Through Capability of Grid-Connected PV Systems: A Comparative Study of Grid-Following and Grid-Forming Converters Under Current Limits by Zainab M. Almesri, Hussain A. Hussain, Rashad M. Kamel

“…A detailed model of the overall grid-connected PV system is first developed, including the PV array with its parameters extracted from the datasheet, Maximum Power Point Tracking (MPPT) algorithm, power converter topology, modulation technique, converter control structure (GFM or GFL), and the filter. …”
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Conceptual Validation of High-Precision Fish Feeding Behavior Recognition Using Semantic Segmentation and Real-Time Temporal Variance Analysis for Aquaculture by Han Kong, Junfeng Wu, Xuelan Liang, Yongzhi Xie, Boyu Qu, Hong Yu

“…Future research could explore integrating multimodal data, such as sound information, to assist in judgment, thereby enhancing the robustness of the model and promoting the development of intelligent aquaculture.…”
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Data-driven robust outpatient physician scheduling with medical visiting information by Qingyun He, Shuqun Shen, Zhiyu Lv, Shixin Yang

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Weibull-Type Incubation Period and Time of Exposure Using <i>γ</i>-Divergence by Daisuke Yoneoka, Takayuki Kawashima, Yuta Tanoue, Shuhei Nomura, Akifumi Eguchi

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Enhancing Software Defect Prediction Using Ensemble Techniques and Diverse Machine Learning Paradigms by Ayesha Siddika, Momotaz Begum, Fahmid Al Farid, Jia Uddin, Hezerul Abdul Karim

“…The prediction of software defects is a crucial element in maintaining the stability and reliability of software systems. This research addresses this need by combining advanced techniques (ensemble techniques) with seventeen machine learning algorithms for predicting software defects, categorised into three types: semi-supervised, self-supervised, and supervised. …”
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