Knowledge Distillation in Object Detection for Resource-Constrained Edge Computing by Arief Setyanto, Theopilus Bayu Sasongko, Muhammad Ainul Fikri, Dhani Ariatmanto, I. Made Artha Agastya, Rakandhiya Daanii Rachmanto, Affan Ardana, In Kee Kim

“…YOLOv4 is a widely used OD model with a backbone for image feature extraction and a prediction layer. Originally, YOLOv4 was designed to use CSPDarkNet53 as its backbone, which requires significant computational power. …”
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Technical note: Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning by F. Bortolussi, H. Sandström, F. Partovi, F. Partovi, J. Mikkilä, P. Rinke, P. Rinke, P. Rinke, P. Rinke, M. Rissanen, M. Rissanen

“…Our best classification model reaches a prediction accuracy of 0.85 <span class="inline-formula">±</span> 0.02 and a receiver operating characteristic curve area of 0.91 <span class="inline-formula">±</span> 0.01. …”
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Low-grade systemic inflammation, but not neuroinflammation, is associated with 12-month postoperative outcome after total hip arthroplasty in patients with painful osteoarthritis:... by Morten R. Blichfeldt-Eckhardt, Claus Varnum, Jørgen T. Lauridsen, Lasse E. Rasmussen, Winnie C. P. Mortensen, Hanne I. Jensen, Henrik B. Vaegter, Kate L. Lambertsen

“…Aims: Better prediction of outcome after total hip arthroplasty (THA) is warranted. …”
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Modelling the seasonal dynamics of Aedes albopictus populations using a spatio-temporal stacked machine learning model by Daniele Da Re, Giovanni Marini, Carmelo Bonannella, Fabrizio Laurini, Mattia Manica, Nikoleta Anicic, Alessandro Albieri, Paola Angelini, Daniele Arnoldi, Federica Bertola, Beniamino Caputo, Claudio De Liberato, Alessandra della Torre, Eleonora Flacio, Alessandra Franceschini, Francesco Gradoni, Përparim Kadriaj, Valeria Lencioni, Irene Del Lesto, Francesco La Russa, Riccardo Paolo Lia, Fabrizio Montarsi, Domenico Otranto, Gregory L’Ambert, Annapaola Rizzoli, Pasquale Rombolà, Federico Romiti, Gionata Stancher, Alessandra Torina, Enkelejda Velo, Chiara Virgillito, Fabiana Zandonai, Roberto Rosà

“…The meta-learner, in turn, assimilates these predictions and generates a final prediction by combining the information from all the base learners. …”
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Cultivating crayfish (Procambarus clarkii) significantly enhances the quantity and diversity of soil microorganisms: evidence from the comparison of rice-wheat and rice-crayfish ro... by Hui Xu, Hui Xu, Dan Wang, Dan Wang, Dan Wang, Xuguang Li, Xuguang Li, Jiajia Li, Jiajia Li, Yu Xu, Yu Xu, Zhiqiang Xu, Zhiqiang Xu

“…In this study, we compared the differences in soil microbial communities and predicted their functions in these two IFA models by sequencing the 16s rRNA and analyzing the bioinformation. …”
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Monitoring Over Time of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients Through an Ensemble Vision Transformers‐Based Model by Maria Colomba Comes, Annarita Fanizzi, Samantha Bove, Luca Boldrini, Agnese Latorre, Deniz Can Guven, Serena Iacovelli, Tiziana Talienti, Alessandro Rizzo, Francesco Alfredo Zito, Raffaella Massafra

“…Conclusion Finally, the changes in DCE‐MRI at pre‐ and mid‐treatment could affect the accuracy of pCR prediction to NAC.…”
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YOLOX-SwinT algorithm improves the accuracy of AO/OTA classification of intertrochanteric fractures by orthopedic trauma surgeons by Xue-Si Liu, Rui Nie, Ao-Wen Duan, Li Yang, Xiang Li, Le-Tian Zhang, Guang-Kuo Guo, Qing-Shan Guo, Dong-Chu Zhao, Yang Li, He-Hua Zhang

“…Subsequently, we recruited 5 senior orthopedic trauma surgeons (SOTS) and 5 junior orthopedic trauma surgeons (JOTS) to classify the 85 original images in the test set, as well as the images with the prediction results of the network model in sequence. …”
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Effectiveness of artificial diet enriched by spinach extract on molting stimulation to produce soft shell crab by Siti Aslamyah, Yushinta Fujaya

“…This is apparently the effect of spinach extract as a stimulant molting, where performance can be optimized with a complete and balance nutrient composition. This prediction is supported by the analysis of protein content of crabs tested at the highest feed C treatment compared with the control feed. …”
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Microbial community variations in adult Hyalomma dromedarii ticks from single locations in Saudi Arabia and Tunisia by Myriam Kratou, Apolline Maitre, Apolline Maitre, Apolline Maitre, Lianet Abuin-Denis, Lianet Abuin-Denis, Rachid Selmi, Hanène Belkahia, Abdullah D. Alanazi, Hattan Gattan, Hattan Gattan, Bassam M. Al-Ahmadi, Abdullah F. Shater, Lourdes Mateos-Hernández, Dasiel Obregón, Lilia Messadi, Alejandro Cabezas-Cruz, Mourad Ben Said, Mourad Ben Said

“…Additionally, functional pathway predictions further revealed geographically distinct metabolic profiles between both groups (Tunisia vs. …”
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The efficacy of neoadjuvant immunotherapy and lymphocyte subset predictors in locally advanced esophageal squamous cell carcinoma: A retrospective study by Ruotong Wang, Shaodi Wen, Xiaoyue Du, Jingwei Xia, Bowen Hu, Yihan Zhang, Guoren Zhou, Feng Jiang, Xiaomin Lu, Miaolin Zhu, Xinyu Xu, Bo Shen

“…Evaluating the differentiation status and dynamic changes of peripheral blood immune cells may provide valuable predictive insights into treatment efficacy and prognosis.…”
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Disulfidptosis-related gene signatures as prognostic biomarkers and predictors of immunotherapy response in HNSCC by Haotian Qin, Haotian Qin, Juan Xu, Yaohang Yue, Yaohang Yue, Meiling Chen, Zheng Zhang, Panpan Xu, Yan Zheng, Hui Zeng, Jian Weng, Jian Weng, Jun Yang, Fei Yu

“…The prognostic model demonstrated excellent predictive performance for the prognosis of HNSCC patients. …”
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Enhancement of Executive Functions but Not Memory by Multidomain Group Cognitive Training in Patients with Parkinson’s Disease and Mild Cognitive Impairment: A Multicenter Randomiz... by Elke Kalbe, Ann-Kristin Folkerts, Anja Ophey, Carsten Eggers, Saskia Elben, Karina Dimenshteyn, Patricia Sulzer, Claudia Schulte, Nele Schmidt, Christian Schlenstedt, Daniela Berg, Karsten Witt, Lars Wojtecki, Inga Liepelt-Scarfone

“…However, the patients’ cognitive status has only rarely been based on established criteria. Also, prediction analyses of CT success have only sparsely been conducted. …”
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A prognostic model of 8-T/B cell receptor-related signatures for hepatocellular carcinoma by Xuan Zuo, Hui Li, Shi Xie, Mengfen Shi, Yujuan Guan, Huiyuan Liu, Rong Yan, Anqi Zheng, Xueying Li, Jiabang Liu, Yifan Gan, Haiyan Shi, Keng Chen, Shijie Jia, Guanmei Chen, Min Liao, Zhanhui Wang, Yanyan Han, Baolin Liao

“…Conclusions Together, our study screened a TCR/BCR-related signature prognostic model, which might turn into a beneficial and practical tool to solve the perplexities of the treatment, prognosis prediction and management for HCC patients.…”
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Key prognostic risk factors linked to poor functional outcomes in cerebral venous sinus thrombosis: a systematic review and meta-analysis by Lili Lin, Senfeng Liu, Wei Wang, Xiao-kuo He, Muhammad Hibatullah Romli, Ruthpackiavathy Rajen Durai

“…Several studies have identified prognostic risk factors associated with poor functional outcomes and established predictive models. This systematic review and meta-analysis assessed the overall effect size of all prognostic risk factors. …”
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Refined construction of semi-provincial hydrogeological models using hierarchical modeling: A case study in Western Shandong Province, China by Guangjun Ji, Zizhao Cai, Xiaobo Tan, Tao Wang, Chuanqi Wang, Qiuxiao Xu, Bo Zhou, Yang Cui

“…Calculation methods for predicting groundwater resource storage variables and single-well water inflow were explored based on hydrogeological attribute models. …”
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Folic acid alleviates the negative effects of dexamethasone induced stress on production performance in Hyline Brown laying hens by Xi Sun, Chaohui Wang, Sijing Li, Xiaoying Liu, Yun Li, Yumeng Wang, Yuxin Niu, Zhouzheng Ren, Xin Yang, Xiaojun Yang, Yanli Liu

“…LEfSe analysis showed that Mucispirillum and Nautella were the predominant bacteria in the DXM group, while Clostridium was the predominant bacteria in the FA group. Functional prediction demonstrated that stressors enhanced fatty acid biosynthesis, while betaine biosynthesis and retinol metabolism were elevated in the FA group. …”
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Optimising Access Surgery in Senior Haemodialysis Patients (OASIS): study protocol for a multicentre randomised controlled trial by Patrick WHE Vriens, Edith M Willigendael, Maarten A Lijkwan, Friedo W Dekker, Chava L Ramspek, Michiel W de Haan, Çaĝdaş Ünlü, Boudewijn DC Heggen, Koen E A van der Bogt, Marc H Hemmelder, Mickaël J C Hiligsmann, Magda M van Loon, Joris I Rotmans, Jan H M Tordoir, Geert Willem H Schurink, Maarten G J Snoeijs, Marijke J Molegraaf, Philippe WM Cuypers, Denise Nio, Cora H Arts, Jacobien C Verhave, Goos D Laverman, Aron S Bode, Marcel C Weijmer, Bas Govaert, Aaltje Y Adema, Gijs MJM Welten, Michel MPJ Reijnen, Marc JH Groeneveld, Hans S Brink, Jeroen B van der Net, Arno Kuijper, Hilde PE Peters, Roos C van Nieuwenhuizen, Rombout R Kruse, Yvonne C Schrama, Karina A de Groot, Karima Farhat

“…To detect and exclude patients with an unusually long life expectancy, we will use a previously published mortality prediction model after external validation. Participants allocated to the usual care arm will be treated according to current guidelines on vascular access creation and will undergo fistula creation. …”
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Identification and preliminary validation of biomarkers associated with mitochondrial and programmed cell death in pre-eclampsia by Rong Lin, Rong Lin, XiaoYing Weng, XiaoYing Weng, Liang Lin, Liang Lin, XuYang Hu, XuYang Hu, ZhiYan Liu, ZhiYan Liu, Jing Zheng, Jing Zheng, FenFang Shen, FenFang Shen, Rui Li, Rui Li

“…Drug predictions, including clodronic acid, were also proposed. …”
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SEED (Stoke Disease Early Detection Application) - Rancang Bangun Aplikasi Mobile Berbasis Android untuk Mendiagnosis Gejala Dini Penyakit Stroke Menggunakan K-Nearest Neighbor (K-... by Dedin Anike Putra, Muhammad Dimas Setiawan Sanapiah, Azifatul Istna Hanifah, Tri Afirianto

“…There are four main features of seed : 1) classification and recommendation, 2) history, 3) health information, and 4) login and register. Risk level of prediction is consists of low, middle, and high risk. …”
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Optimization of Key Parameters for Coal Seam L-CO₂ Phase Transition Blasting Based on Response Surface Methodology by Xuanping Gong, Xiaoyu Cheng, Cheng Cheng, Quangui Li, Jizhao Xu, Yu Wang

“…This research provides a theoretical basis for blasting design and fracture propagation prediction using L-CO₂ phase transition blasting in the coal seam under varying in situ stress conditions, offering valuable data support for optimizing the process of L-CO₂ phase transition fracturing technology.…”
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