Land Use Challenges in Emerging Economic Corridors of the Global South: A Case Study of the Laos Economic Corridor by Mingjuan Dong, Xingping Wang, Yiran Yan, Dongxue Li

“…Using global land cover data from 2000 to 2020 (GlobeLand30) and employing spatial statistical analysis, the Random Forest (RFC) algorithm, and the CA-Markov model, the study follows a Pattern–Process–Mechanism–Trend analytical framework to reveal the spatial distribution characteristics and transformation paths of land use within the corridor. …”
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Potential impacts of future climate on twelve key multipurpose tree species in Benin: Insights from species distribution modeling for biodiversity conservation by Sèdoami Flora Dogbo, Kolawolé Valère Salako, Gafarou Agoundé, Kangbéni Dimobe, Adjo Estelle Geneviève Adiko, Jens Gebauer, Constant Yves Adou Yao, Romain Glèlè Kakaï

“…We evaluated environmental variables influencing MPTS distribution, projected habitat changes, identified hotspots, and compared impacts on native versus non-native species. Four modelling algorithms—Generalized Additive Models, Generalized Linear Models, Maximum Entropy, and Random Forest—were used. …”
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Depression and Anxiety Screening for Pregnant Women via Free Conversational Speech in Naturalistic Condition by Rafael T. Sousa, Gustavo D. M. Silva, Paula L. L. Pinto, Juliano Backes, Amanda S. Mota, Thiago M. Paixao, Maria G. S. Teixeira, Wilian H. Hisatugu, Anilton S. Garcia, Kelly S. Prado, Rodrigo S. Dias, Marco A. Galletta, Hermano Tavares

“…The research involved collecting conversational speech samples from pregnant women attending a high-risk pregnancy outpatient service, employing smartphones to capture naturalistic speech in everyday contexts. Machine learning algorithms were utilized combined with different audio feature sets to analyze these recordings in conjunction with PHQ-4 questionnaire scores. …”
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Machine learning-aided discovery of T790M-mutant EGFR inhibitor CDDO-Me effectively suppresses non-small cell lung cancer growth by Rui Zhou, Ziqian Liu, Tongtong Wu, Xianwei Pan, Tongtong Li, Kaiting Miao, Yuru Li, Xiaohui Hu, Haigang Wu, Andrew M. Hemmings, Beier Jiang, Zhenzhen Zhang, Ning Liu

“…With great advances in computer algorithms, machine learning improved the screening rates of molecules at full chemical spaces, and these molecules will present higher biological activity and targeting efficiency. …”
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Continual Learning With Neuromorphic Computing: Foundations, Methods, and Emerging Applications by Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad, Osman Hasan, Muhammad Shafique

“…The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL), underscores the critical need for a paradigm shift towards more efficient approaches. Neuromorphic Continual Learning (NCL) appears as an emerging solution, by leveraging the principles of Spiking Neural Networks (SNNs) and their inherent advantages (e.g., sparse spike-driven operations and bio-plausible learning rules) for improving energy efficiency and performance, thereby enabling efficient CL algorithms (e.g., unsupervised learning approach) executed in dynamically-changed environments with resource-constrained computing systems. …”
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Aerial Dockable Multirotor UAVs: Design, Control, and Flight Time Extension Through In-Flight Battery Replacement by Yeongin Song, Hyunmin Kim, Jeonghyun Byun, Keun Park, Murim Kim, Seung Jae Lee

“…In this research, a generalized control allocation algorithm is introduced to manage dynamic shifts in the center of mass (CoM) during inter-modular battery transportation, ensuring safe flight control and mitigating thruster overloading: a critical factor in avoiding flight failure. …”
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A Two-Step Nonstop-and-Go Phase Compensation Method for Spaceborne SAR With High-Resolution High-Squint-Angle and Wide-Swath by Yifan Wu, Lijia Huang, Bingchen Zhang, Lihua Zhong, Di Yin, Dadi Meng, Yuxin Hu

“…Third, we propose an advanced two-step processing algorithm to compensate for phase errors due to nonstop-and-go continuous motion. …”
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Resource Allocation in STAR-RIS-Aided SWIPT With RSMA via Meta-Learning by Mojtaba Amiri, Elaheh Vaezpour, Sepideh Javadi, Mohammad Robat Mili, Mehdi Bennis, Eduard Axel Jorswieck

“…Simulation results demonstrate that the proposed Meta-DDPG algorithm performance compared to other base lines, yielding higher data rates and improved harvested energy. …”
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Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care by Annarita Vignapiano, Annarita Vignapiano, Francesco Monaco, Francesco Monaco, Stefania Landi, Luca Steardo, Carlo Mancuso, Claudio Pagano, Gianvito Petrillo, Alessandra Marenna, Martina Piacente, Stefano Leo, Carminia Marina Ingenito, Rossella Bonifacio, Benedetta Di Gruttola, Marco Solmi, Marco Solmi, Marco Solmi, Marco Solmi, Maria Pontillo, Giorgio Di Lorenzo, Giorgio Di Lorenzo, Alessio Fasano, Alessio Fasano, Alessio Fasano, Giulio Corrivetti, Giulio Corrivetti

“…This project marks a transformative shift toward data-driven, patient-centred ASD care in Italy. …”
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Novel nocturnal insect pest monitoring for sustainable crop protection using ensemble augmented deep learning classification by Hui Zhao, Bo Fu, Fernando Auat Cheein, Matthew Butler, W. Edwin Harris, Tom W. Pope, Joe M. Roberts

“…Its management has historically relied on broad-spectrum synthetic insecticides, but this has shifted toward integrated pest management compatible methods such as entomopathogenic nematodes and fungi that target soil-dwelling larvae. …”
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Nutrient Availability and Pathogen Clearance Impact Microbiome Composition in a Gnotobiotic Kimchi Model by Devin H. Bemis, Carly E. Camphausen, Esther Liu, Joshua J. Dantus, Josue A. Navarro, Kieren Leif Dykstra, Leila A. Paltrowitz, Mariia Dzhelmach, Markus Joerg, Pamil Tamelessio, Peter Belenky

“…We also used Oxford Nanopore sequencing to analyze the 16S rRNA gene (V4–V9), followed by use of the Emu algorithm for taxonomic assignments. As expected, LABs suppressed pathogens, but this effect was weaker early on in the nutrient-rich condition. …”
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Assessment of the Aging State for Transformer Oil-Barrier Insulation by Raman Spectroscopy and Optimized Support Vector Machine by Deliang Liu, Biao Lu, Wenping Wu, Wei Zhou, Wansu Liu, Yiye Sun, Shilong Wu, Guolong Shi, Leiming Yuan

“…The SVM parameters were optimized using grid search, particle swarm optimization (PSO), and genetic algorithm (GA), yielding the optimal parameters (C and gamma). …”
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A Composite Vision-Based Method for Post-Assembly Dimensional Inspection of Engine Oil Seals by Yu Li, Jing Zhao, Xingyu Gao, Weiming Li, Rongtong Jin, Guohao Tang, Yang Huang, Shuibiao Chen

“…By integrating three-frequency four-step phase-shifting profilometry with an improved RANSAC (random sample consensus)-based plane fitting algorithm, the height difference between the inner and outer rings as well as the press-in depth are accurately calculated, effectively eliminating interference from non-target regions. …”
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Optimization of agricultural planting structure in major grain-producing areas based on supply and demand and water resources: A case study of Hebei Province by Wenxue Xia, Jiankang Dong, Bing Zhang, Jingyan Han

“…Currently, the dietary patterns of Chinese residents are shifting from subsistence-based to well-being-oriented, evolving from a predominantly “grain and vegetable” structure to a diversified diet incorporating “grain, meat, vegetables, and fruits”. …”
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Exploring interconnections among atoms, brain, society, and cosmos with network science and explainable machine learning by Daniele Caligiore, Daniele Caligiore, Anna Monreale, Anna Monreale, Giulio Rossetti, Angela Bongiorno, Giuseppe Fisicaro

“…For instance, if common aspects of criticality in neuroscience and cosmology are identified, an algorithm trained on brain data could be repurposed to detect critical states in cosmic systems, even with limited cosmic data. …”
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Modeling Navigator Awareness of COLREGs Interpretation Using Probabilistic Curve Fitting by Deuk-Jin Park, Hong-Tae Kim, Sang-A Park, Tae-Yeon Kim, Jeong-Bin Yim

“…The results reveal sharp shifts in awareness near 008° and 160°, suggesting cognitively unstable zones. …”
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Theoretical Proposals for Improving the Noise Immunity of Receiving Multi-Position Signals in Channels with Variable Parameters by S. V. Dvornikov, A. V. Pshenichnikov, A. F. Kryachko, M. R. Bibarsov, G. S. Bibarsova

“…Future research will address the development of scientific and practical proposals for improving the noise immunity of quadrature multi-position signals, including an algorithm and block diagram for compensating phase shifts introduced in communication channels; processing of the amplitude values of the signal, which assumes the difference in the paths in terms of frequency-polarization and determines the accuracy of eliminating phase distortions.…”
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SIM-IPS: Stacked Intelligent Metasurface-Based Indoor Positioning System by Aisha Javed, Naveed Ul Hassan, Marco Di Renzo, Chau Yuen

“…We employ the gradient descent algorithm and the alternating optimization (AO) technique to optimize the phase shifts of meta-atoms across different SIM layers for zone configuration. …”
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Circulating Current Suppression and Midpoint Potential Balance of Flexible DC T-Type Three-Level Bidirectional Converter for Urban Rail Transit by LIU Jianhua, LI Dongdong, LI Hao

“…The circulating current is classified and analyzed， and a transformer low-voltage winding splitting， shared neutral line， L-shaped filter， and software control algorithm are proposed to suppress the zero-sequence circulating current. …”
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A state-of-the-art review of soft computing-based monitoring and control in the machining of hard alloys by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak, Abhijit Bhowmik

“…To address these limitations, the manufacturing industry has increasingly shifted towards non-traditional machining methods. …”
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