Local Binary and Multiclass SVMs Trained on a Quantum Annealer by Enrico Zardini, Amer Delilbasic, Enrico Blanzieri, Gabriele Cavallaro, Davide Pastorello

“…Support vector machines (SVMs) are widely used machine learning models, with formulations for both classification and regression tasks. …”
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The potential for fuel reduction to reduce wildfire intensity in a warming California by Patrick T Brown, Scott J Strenfel, Richard B Bagley, Craig B Clements

“…Here, we quantify the potential for fuel reduction to reduce wildfire intensity using empirical relationships derived from historical observations with a novel combination of spatiotemporal resolution (0.375 km, instantaneous) and extent (48 million acres, 9 years). We use machine learning to quantify relationships between sixteen environmental conditions (including ten fuel characteristics and four temperature-affected aridity characteristics) and satellite-observed fire radiative power. …”
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A case study in statistical software development for advanced evidence synthesis: the combined value of analysts and research software engineers by Naomi Bradbury, Tom Morris, Clareece Nevill, Janion Nevill, Ryan Field, Suzanne Freeman, Nicola Cooper, Alex Sutton

“…Aim Here, we present our experience of developing production grade web-apps from the point-of-view of individuals trained primarily as statisticians rather than software developers in the hopes of encouraging and inspiring other groups to develop valuable open-source statistical software whilst also learning from our experiences. Key challenges We discuss how we have addressed challenges to research software development such as responding to feedback from our real-world users to improve the CRSU apps, the implementation of software engineering principles into our app development process and gaining recognition for non-traditional research work within the academic environment. …”
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Predicting climate-change impacts on the global glacier-fed stream microbiome by Massimo Bourquin, Hannes Peter, Grégoire Michoud, Susheel Bhanu Busi, Tyler J. Kohler, Andrew L. Robison, Mike Styllas, Leïla Ezzat, Aileen U. Geers, Matthias Huss, Stilianos Fodelianakis, The Vanishing Glaciers Field Team, Tom J. Battin

“…Our model framework is rooted in a space-for-time substitution design and leverages statistical learning approaches. We predict that declining environmental selection promotes primary production in GFSs, stimulating both bacterial biomass and biodiversity. …”
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Displacement Prediction of a Complex Landslide in the Three Gorges Reservoir Area (China) Using a Hybrid Computational Intelligence Approach by Junwei Ma, Xiaoxu Niu, Huiming Tang, Yankun Wang, Tao Wen, Junrong Zhang

“…The results show that the mean prediction interval widths of the proposed approach at ZG287 and ZG289 are 27.30 and 33.04, respectively, which are approximately 60 percent lower than that obtained using the traditional bootstrap-extreme learning machine-artificial neural network (Bootstrap-ELM-ANN). …”
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No Effect of Anodal tDCS on Verbal Episodic Memory Performance and Neurotransmitter Levels in Young and Elderly Participants by Annegret Habich, Johannes Slotboom, Jessica Peter, Roland Wiest, Stefan Klöppel

“…Glutamatergic metabolites (Glx) and γ-aminobutyric acid (GABA) are involved in learning and memory processes and can be influenced with tDCS; wherefore, they present themselves as potential biomarkers for tDCS-induced behavioural gains, which are affiliated with neuroplasticity processes. …”
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Impacts of IOD and ENSO on the phytoplankton’s vertical variability in the Northern Indian Ocean by Qiwei Hu, Xiaoyan Chen, Xianqiang He, Yan Bai, Tingchen Jiang, Yu Huan, Zhanlin Liang

“…Using the three-dimensional Chlorophyll a concentration dataset generated by a machine learning model, this study examines IOD- and ENSO-linked vertical phytoplankton anomalies over the entire euphotic layer (0–100 m) in the NIO during 2000–2019. …”
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Intellectual code analysis in automation grading by Denys Seliutin, Elena Yashyna

“…The research subjects are methods of the programming code evaluation during distance learning. The methods used are: tree classification code analysis and graph traversing methods adopted for the tree linearization goal. …”
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Implementing a rapid geographic range expansion - the role of behavior changes by Logan, Corina, McCune, Kelsey, LeGrande-Rolls, Christa, Marfori, Zara, Hubbard, Josephine, Lukas, Dieter

“…We found that grackles in the edge population had a higher flexibility variance (measured by reversal learning) and a higher persistence average (they participated in a larger proportion of trials), and that there were no population differences in average levels of flexibility, innovativeness (number of loci solved on a multiaccess box), or exploration (latency to approach a novel environment). …”
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Investigation of corrosion and water absorption of biomass natural coir fiber/hBN reinforced epoxy hybrid composites using different optimisation approaches by Ramraji Kirubakaran, Shenbaga Velu Pitchumani, Sanju Tom, R. Ashwin Nagaraj, P. Salin, Harish Kumar Natchimuthu, Venkatachalam Gopalan, G. Vinayagamurthy

“…In addition, the study utilizes four metaheuristic algorithms—the Dragonfly Algorithm (DFO), the Salp Swarm Algorithm (SSA), Teaching Learning Optimization (TLO) and Particle Swarm Optimization (PSO)—alongside regression equations to predict the optimal characteristics of the composite material. …”
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Modified Mosquito Programs’ Surveillance Needs and An Image-Based Identification Tool to Address Them by Jewell Brey, Bala Murali Manoghar Sai Sudhakar, Kiley Gersch, Tristan Ford, Margaret Glancey, Jennifer West, Sanket Padmanabhan, Angela F. Harris, Autumn Goodwin

“…Health districts often lack the resources needed to collect essential data, and conventional entomological species identification involves a significant learning curve to produce consistent high accuracy data. …”
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SpikeDroidDB: AN INFORMATION SYSTEM FOR ANNOTATION OF MORPHOMETRIC CHARACTERISTICS OF WHEAT SPIKE by M. A. Genaev, E. G. Komyshev, Fu Hao, V. S. Koval, N. P. Goncharov, D. A. Afonnikov

“…The effectiveness of ears’ phenotyping can be improved by the introduction of an automated image processing technology, storage of information in databases, use of machine learning algorithms to analyze this information. This paper presents a new approach for collecting, storing and analyzing of information about morphometric characteristics of ears of wheat. …”
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Loosening rocks detection at Draa Sfar deep underground mine in Morocco using infrared thermal imaging and image segmentation models by Kaoutar Clero, Said Ed-Diny, Mohammed Achalhi, Mouhamed Cherkaoui, Imad El Harraki, Sanaa El Fkihi, Intissar Benzakour, Tarik Soror, Said Rziki, Hamd Ait Abdelali, Hicham Tagemouati, François Bourzeix

“…However, further research is recommended to enhance these results, particularly through deep learning-based segmentation and object detection models.…”
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Electromagnetic metamaterial agent by Shengguo Hu, Mingyi Li, Jiawen Xu, Hongrui Zhang, Shanghang Zhang, Tie Jun Cui, Philipp del Hougne, Lianlin Li

“…Abstract Metamaterials have revolutionized wave control; in the last two decades, they evolved from passive devices via programmable devices to sensor-endowed self-adaptive devices realizing a user-specified functionality. Although deep-learning techniques play an increasingly important role in metamaterial inverse design, measurement post-processing and end-to-end optimization, their role is ultimately still limited to approximating specific mathematical relations; the metamaterial is still limited to serving as proxy of a human operator, realizing a predefined functionality. …”
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Implementation of global health competencies: A scoping review on target audiences, levels, and pedagogy and assessment strategies. by Meike Schleiff, Bhakti Hansoti, Anike Akridge, Caroline Dolive, David Hausner, Anna Kalbarczyk, George Pariyo, Thomas C Quinn, Sharon Rudy, Sara Bennett

“…However, there is limited literature on how to implement competency-based training into learning curricula and evaluation strategies.<h4>Objectives</h4>This scoping review seeks to collate the current status, degree of consensus, and best practices, as well as gaps and areas of divergence, related to the implementation of competencies in global health curricula. …”
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Benchmarking Vision-Based Object Tracking for USVs in Complex Maritime Environments by Muhayy Ud Din, Ahsan Baidar Bakht, Waseem Akram, Yihao Dong, Lakmal Seneviratne, Irfan Hussain

“…We benchmarked the performance of seven distinct trackers, developed using advanced deep learning techniques such as Siamese Networks and Transformers, by evaluating them on both simulated and real-world maritime datasets. …”
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The resilience of parents and carers who administer medicines to children at home: a qualitative systematic review protocol by Stephen Morris, Simon Pini, Beth Fylan, Franki Wilson, Helen Faulkner, David P. Alldred

“…This process is often unseen but may contain important learning for professionals, academics, and wider society. …”
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Aspects of Growth Hormone and Insulin-Like Growth Factor-I Related to Neuroprotection, Regeneration, and Functional Plasticity in the Adult Brain by N. David Åberg, Katarina Gustafson Brywe, Jörgen Isgaard

“…The functional role of GH and IGF-I in the adult brain will be reviewed with reference to neurotransmitters, glucose metabolism, cerebral blood flow, gap junctional communication, dendritic arborization, exercise, enriched environment, depression, learning, memory, and aging.Briefly, these findings suggest that IGF-I functions as a putative regenerative agent in the adult CNS. …”
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The Impact of Drug Abuse on The Learner's Academic Performance in Kisoro Municipality Kisoro District. by Arinitwe, Edward

“…The study recommended that students should reduce and if possible abstain from drugs taking if they are to keep track of education well and improve their academic performance, the government should intervene by putting strict laws on the way sellers of drugs should put the time to open their bars and to close them to reduce on drugs taking among people, students should look for other ways of reducing stress not to end it by drugs taking since it affects their brain and also affects their academic performance, students' leisure time should be spent productively on doing some activities like reading and discussing but not to spend it on drugs abusing if they are to move forward effectively with the education process and there should be massive sensitization on the dangers of drugs on academic performance of students to reduce and if possible end drugs taking among school learning children.…”
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Assessing The Effect of Single Parenting on Learners Academic Performance in Selected Secondary Schools of Kabale Municipality. by Ahumuza, Miriam

“…Other respondents mentioned death, divorce, and separation, the study results on the challenges fed by students of single parents on academic performance, the highest number of respondents mentioned parental understanding of children's feelings, the lowest number of respondents mentioned the ability to negotiate social situations and produce successful social mention and parents' knowledge of their children other respondents mentioned children's satisfaction with the way they are living their lives, risk of failing to get adequate educational provisions which hinder students' academic performance, and ability to manage their learning and succeed academically and the study results on effects of single parenting on students' academic performance, the highest number of respondents mentioned ess concentration in class, the lowest number of respondents mentioned late coming to school. other respondents mentioned a lack of adequate scholastic materials, isolation from friends which hinders the student's discussion, absenteeism from school, and stressful life which affects students' academic performance. …”
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