Rice Stubble Provides Overwintering Microhabitats for Spiders in Winter-Fallowed Rice Fields by Jie Sun, Xuhao Song, Jundong He, Dongmei Chen, Tingbang Yang, Aimin Shi

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Toward Intelligent Financial Advisors for Identifying Potential Clients: A Multitask Perspective by Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu

“…Then, we propose a Multitask Feature Extraction Model (MFEM), which can leverage useful information contained in these related tasks and learn them jointly, thereby solving the two problems simultaneously. In addition, we design a two-stage feature selection algorithm to select highly relevant user features efficiently and accurately from an incredibly huge number of user feature fields. …”
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An ensemble agglomerative hierarchical clustering algorithm based on clusters clustering technique and the novel similarity measurement by Teng Li, Amin Rezaeipanah, ElSayed M. Tag El Din

“…The proposed algorithm is a Meta-Clustering Ensemble scheme based on Model Selection (MCEMS). MCEMS uses the bi-weighting policy to solve the model selection associated problem to improve ensemble clustering. …”
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Distributed denial of service (DDoS) classification based on random forest model with backward elimination algorithm and grid search algorithm by Mohamed S. Sawah, Hela Elmannai, Alaa A. El-Bary, Kh. Lotfy, Osama E. Sheta

“…In addition to accuracy, the RF model also demonstrated superior F1 score, recall, and precision, each reaching 99.99%. …”
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A long tail of truth and beauty: A zigzag pattern of feather formation determines the symmetry, complexity, and beauty of the peacock’s tail [version 3; peer review: 1 approved, 2... by Santosh Jagadeeshan, Rama Singh

“…Background Darwin assumed that the peacock’s long train was maladaptive and was the indirect effect of selection by female mate choice based on the train’s beauty. …”
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A long tail of truth and beauty: A zigzag pattern of feather formation determines the symmetry, complexity, and beauty of the peacock’s tail [version 2; peer review: 1 approved, 2... by Santosh Jagadeeshan, Rama Singh

“…Background Darwin assumed that the peacock’s long train was maladaptive and was the indirect effect of selection by female mate choice based on the train’s beauty. …”
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A QoE-Based Framework for Video Streaming Over LTE-Unlicensed by Mohamed S. Hassan, Mahmoud H. Ismail, Taha Landolsi, Ibtihal Ahmed, Fatema M. Aseeri

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Polymorphism‐aware estimation of species trees and evolutionary forces from genomic sequences with RevBayes by Rui Borges, Bastien Boussau, Sebastian Höhna, Ricardo J. Pereira, Carolin Kosiol

“…In addition to establishing a well‐supported species tree, we found a mutation bias favouring AT alleles and selection bias promoting the fixation of GC alleles, the latter consistent with GC‐biased gene conversion. …”
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The link between antibiotic resistance level and soil physico-chemical properties by Mateusz Szadziul, Agata Goryluk-Salmonowicz, Magdalena Popowska

“…The results indicate that heavy metal contamination may play a substantial role in AMR spread through co-selection mechanisms. These findings emphasize the influence of environmental factors on AMR dynamics and highlight the need to integrate soil ecology into AMR mitigation strategies within the One Health framework.…”
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Machine Learning System for Predicting Cardiovascular Disorders in Diabetic Patients by A. Mayya, H. Solieman

“…Machine learning methods were used to classify diabetes based on physical examination data and laboratory data. Feature selection methods were used to derive the most significant indicators for predicting CVD risk in diabetic patients. …”
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In vitro cultivation of the embryos of hybrid forms of early-ripening sweet cherry (Prunus avium L.) varieties by N. N. Kovalenko, S. V. Gladkih

“…The goal of our research  was to select the best environments and ways to reduce  infection while obtaining the largest number of full-fledged sweet cherry seedlings  from intraspecific hybridization  in vitro and to accelerate the selection process. …”
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Multi-Criteria Decision-Making for Post-secondary Graduates of Technical and Vocational Education Stream (Plant and Animal Science): Analytical Hierarchy Process for Career Prefere... by Jay Chaurasia, Mahesh Jaishi, Santosh Khanal, Tej Prasad Dawadi, Balika Poudel, Vivek Ghimirey, Nobel Acharya

“…Trait and factor theory was utilized as a theoretical framework to comprehend the inclination towards selecting a highly coveted vocation. A deductive study utilizing a structured survey of 332 Nepalese agricultural graduates from the TVE stream demonstrated how academic performance and economic considerations, among others, influence students' perceptions of career-related options. …”
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MetaCGRP is a high-precision meta-model for large-scale identification of CGRP inhibitors using multi-view information by Nalini Schaduangrat, Phisit Khemawoot, Apisada Jiso, Phasit Charoenkwan, Watshara Shoombuatong

“…Finally, we employed the feature selection method to optimize the multi-view features and determine the best feature subset to enable the construction of the meta-model. …”
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ITap: Index Finger Tap Interaction by Gaze and Tabletop Integration by Jeonghyeon Kim, Jemin Lee, Jung-Hoon Ahn, Youngwon Kim

“…Additionally, ITap demonstrated superior performance in scrolling and swiping tasks, with participants reporting greater comfort and reduced fatigue. …”
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Kazakh Tobet dogs in the genomic landscape: refining the history of livestock guardian breeds by Anastassiya Perfilyeva, Kira Bespalova, Yelena Kuzovleva, Mamura Begmanova, Almira Amirgaliyeva, Olga Vishnyakova, Inna Nazarenko, Sergey Bespalov, Assel Zhaxylykova, Arailym Yerzhan, Kanagat Yergali, Yuliya Perfilyeva, Rustam Mussabayev, Zhassulan Zhaniyazov

“…Abstract Background Despite the growing body of research on livestock guarding dog (LGD) breeds, Central Asian LGDs remain significantly underrepresented in genetic studies. Additionally, while some research has explored the genetic basis of selective traits in LGDs, significant gaps remain. …”
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Selection of memory clinic patients for CSF biomarker assessment can be restricted to a quarter of cases by using computerized decision support, without compromising diagnostic acc... by Hanneke F M Rhodius-Meester, Ingrid S van Maurik, Juha Koikkalainen, Antti Tolonen, Kristian S Frederiksen, Steen G Hasselbalch, Hilkka Soininen, Sanna-Kaisa Herukka, Anne M Remes, Charlotte E Teunissen, Frederik Barkhof, Yolande A L Pijnenburg, Philip Scheltens, Jyrki Lötjönen, Wiesje M van der Flier

“…Tools that guide in selecting patients in which CSF biomarkers have clinical utility are needed. …”
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Digital mapping of peat thickness and extent in Finland using remote sensing and machine learning by Jonne Pohjankukka, Timo A. Räsänen, Timo P. Pitkänen, Arttu Kivimäki, Ville Mäkinen, Tapio Väänänen, Jouni Lerssi, Aura Salmivaara, Maarit Middleton

“…We carefully split the reference data into training and test sets, allowing for independent and robust model validation. Feature selection included an initial screening for multicollinearity using correlation-based feature pruning, followed by final selection using a genetic algorithm. …”
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Species richness is not a good predictor for above-ground biomass in a warm temperate deciduous broadleaf forest by Chunmei He, Yushan Li, Xiaoxia Dai, Na Liu, Fangfang Wu, Jiangbo Yan, Meiping Gao, Yonghui Liang, Zuoqiang Yuan, Zhanqing Hao, Qiulong Yin

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Get it while it's hot: Benefits of a large herbivore exploiting stochastic resource pulses in a time of food scarcity by Samantha P. H. Dwinnell, Larissa T. Beumer, René van derWal, Steve D. Albon, Åshild Ø. Pedersen, Øystein Holand, Brage B. Hansen, R. Justin Irvine, Erik Ropstad, Vebjørn Veiberg, Leif Egil Loe

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Tumor tissue-of-origin classification using miRNA-mRNA-lncRNA interaction networks and machine learning methods by Ankita Lawarde, Ankita Lawarde, Masuma Khatun, Prakash Lingasamy, Prakash Lingasamy, Andres Salumets, Andres Salumets, Andres Salumets, Vijayachitra Modhukur, Vijayachitra Modhukur

“…A minimal set of 150 miRNAs selected via RFE resulted in optimal performance across all classifiers. …”
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