Differentiation and identification of winter bread wheat verieties according to a complex of baking quality indicators by О. А. Демидов, В. М. Гудзенко, І. В. Правдзіва

“…Reveal the features of the formation of a quali­ty indicator complex in winter bread wheat depending on the growing seasons, preceding crops and sowing dates, as well as differentiate and identify genotypes with high and stable levels of manifestation. Methods. Field, laboratory, statistical. Results. …”
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Bridging intentions and outcomes: a program theory approach to residency accreditation standards by Dana Tenne-Fishbain, Yehuda L. Danon, Rachel Nissanholz-Gannot

“…This study examined the clarity, comprehensiveness, adequacy, and validity of current Israeli residency accreditation standards as a case example for evaluating such systems. Methods We conducted a qualitative evaluation study using Program Theory framework to analyse multiple data sources: Supreme Accreditation Board protocols (2014–2023), documents, including standards and questionnaires from 11 purposively sampled specialties, and semi-structured interviews with 28 stakeholders. …”
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Visualization of coronary artery calcification and its impact on percutaneous coronary intervention procedure (a literature review) by V. O. Hubka, Yu. M. Vailo, A. M. Materukhin, A. L. Makarenkov

“…CA lesion preparation before stent implantation involves using specialized angiographic balloons or atherectomy devices. Applying these methods of calcium modification contributes to the compliance of the calcified plaque causing fractures beyond or within the stent, ensures optimal final stent expansion and reduces the risks of possible long-term consequences. …”
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Technical note: Applicability of physics-based and machine-learning-based algorithms of a geostationary satellite in retrieving the diurnal cycle of cloud base height by M. Wang, M. Min, J. Li, H. Lin, Y. Liang, B. Chen, Z. Yao, N. Xu, M. Zhang

“…Results show that the two ML-based algorithms exhibit markedly superior performance (the optimal method is with a correlation coefficient of <span class="inline-formula"><i>R</i></span> <span class="inline-formula">&gt;</span> 0.91 and an absolute bias of approximately 0.8 km) compared to the two physics-based algorithms. …”
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HIGH SCHOOL STUDENTS’ PROFESSIONAL SELFDETERMINATION AS A SOCIAL PROBLEM by T. I. Kasyanova, A. V. Maltsev, D. V. Shkurin

“…Based on the review of scientific and sociological sources, the authors identified the problems which do not allow optimizing vocational-oriented work at school level. …”
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Determination of biologically active substances extraction parameters from cranberry leaves by I. K. Vlasova, O. M. Koshovyi, O. S. Kukhtenko, M. A. Komisarenko, Т. V. Ilina, A. M. Kovalyova

“…Plants of the genus Vaccinium are promising sources for the creation of hypoglycemic and hypolipidemic medicines. …”
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Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

“…LLMs, with extensive pretraining and text generation capabilities, offer a new solution. Methods: We applied prompt engineering and knowledge distillation based on instruction fine-tuning to optimize LLMs for AKI prediction. …”
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From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

“…Among the 72 models combining nine feature selection methods and eight machine learning classifiers, the optimal model combination achieved discriminative performance with an average area under the curve (AUC) of 0.615 over 100 iterations under five‐fold cross‐validation. …”
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Development and Validation of a Suite of E-Probes for Electronic Diagnostic Nucleic Acid Analysis (EDNA) for 20 Graft-Transmissible Pathogens of Citrus Using MiFi and Blind Ring Te... by D. M. Nascimento, S. Bodaghi, H. Wang, M. R. Ribeiro-Junior, R. Campos, T. Dang, F. Osman, J. Habiger, A. S. Espindola, G. Vidalakis, K. F. Cardwell

“…These e-probes were optimized using the MiFi bioinformatics platform for specificity, sensitivity, and detection limits through both in silico and in planta testing. …”
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Catalytic decomposition of ozone in air by Mn-modified zeolite molecular sieves by Haoyue CHEN, Zhuonan GUO, Yingshu LIU, Xiong YANG, David Youhong PUI, Ziyi LI

“…To effectively purify this pollutant at its source, it is essential to develop a high-efficiency ozone decomposition converter, with the catalyst being its pivotal component. …”
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Trajectory of breastfeeding among Chinese women and risk prediction models based on machine learning: a cohort study by Yi Liu, Jie Xiang, Ping Yan, Yuanqiong Liu, Peng Chen, Yujia Song, Jianhua Ren

“…Abstract Background Breastfeeding is the optimal source of nutrition for infants and young children, essential for their healthy growth and development. …”
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Model-based fed-batch cultivation of Viola odorata plant cells exhibiting antimalarial and anticancer activity by R. Babu, Manokaran Veeramani, Wallepure Aadinath, Vignesh Muthuvijayan, Shailja Singh, Smita Srivastava

“…V. odorata natural plant source is limited in availability. Bioprocess principles can be applied to develop sustainable methods for the commercial production of high-quality V. odorata plant biomass.MethodsTo this effect, the in vitro culture conditions of V. odorata were rationally optimized to increase the biomass production up to 21.7 ± 0.8 g DW L−1 in 12 days in shake flasks. …”
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Decoding Long-duration Gravitational Waves from Binary Neutron Stars with Machine Learning: Parameter Estimation and Equations of State by Qian Hu, Jessica Irwin, Qi Sun, Christopher Messenger, Lami Suleiman, Ik Siong Heng, John Veitch

“…However, the resulting computational demands for analyzing such prolonged signals pose a critical challenge that existing Bayesian methods cannot feasibly address in the 3G era. To bridge this critical gap, we demonstrate a machine learning–based workflow capable of producing source parameter estimation and constraints on equations of state (EOSs) for hours-long BNS signals in seconds with minimal hardware costs. …”
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Research Advance of Causal Inference in Clinical Medicine: A Bibliometrics Analysis via Citespace by Qin G, Wei J, Sun Y, Du W

“…The future integration of various data sources to improve causal inference methods is anticipated to enhance the sensitivity and specificity of trials, ultimately elucidating the complex mechanisms of diseases and drug effects. …”
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FEN-MRMGCN: A Frontend-Enhanced Network Based on Multi-Relational Modeling GCN for Bus Arrival Time Prediction by Ting Qiu, Chan-Tong Lam, Bowie Liu, Benjamin K. Ng, Xiaochen Yuan, Sio Kei Im

“…Accurate bus arrival time prediction is crucial for enhancing passenger experience and optimizing smart city transit systems. Existing methods, typically based on single-route, sparse stop data, struggle with the complex spatiotemporal interactions present in dense stop areas and multi-route networks, resulting in lower prediction accuracy. …”
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Hybrid causal inference framework for long-chain drought propagation networks: Combining convergent cross-mapping and generalized random forest by Jiayou Wang, Zhi Li, Yaning Chen, Shiru Han, Lingxin Kong

“…The hydrological cycle in inland river basins of arid regions operates as a closed system with diverse recharge sources. In these areas, drought propagation exhibits strong high-dimensional nonlinearity, making it difficult for traditional linear models and time–frequency analysis methods to capture the complex dynamic causal relationships. …”
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Effects of Continuous Straw Returning Combined with Reduced Fertilizer Application on Rice Yield and Loss of Nitrogen and Phosphorus by Yao Li, Wang Hong, Zhang Qi, Liu Haitao, Luo Fuxiang, Wang Xie, Zheng Shenghua, Liang Fan, Lin Chaowen

“…[Objective] The effects of straw returning combined with reduced chemical fertilizer application on rice yield and nitrogen and phosphorus losses with runoff were studied in order to provide a scientific basis for the recycling and reuse of local agricultural resources and the prevention and control of agricultural non-point source pollution. [Methods] A three-year (2018—2020) field plot experiment was conducted that included two treatments: conventional fertilization (T1), and straw returning + conventional fertilization reduced by 28.57% for nitrogen and 25.11% for phosphorous (T2). …”
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The efficacy of low-level laser therapy in oral surgery: A systematic review of randomized controlled trials by Alain Chaple Gil, Leonardo Díaz, Alfredo Von Marttens, Claudio Sotomayor, Javier Basualdo, Víctor Beltrán, Gilbert Jorquera, Rodrigo Caviedes, Eduardo Fernández

“…It also aimed to identify optimal laser parameters for future clinical application. …”
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Relevansi konsep pemikiran pendidikan dan kebudayaan George S. Counts dan Ki Hajar Dewantara dengan kompetensi peserta didik abad 21 by Sekar Purbarini Kawuryan

“…For this reason, the optimal role of educators is needed in varying the learning process by using various methods so that education can carry out its functions to overcome social crises and cultural backwardness, so as to enhance humanity. …”
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Efficacy and safety of distinct regimens for individuals with advanced EGFR-mutated non-small-cell lung cancer who progressed on EGFR tyrosine-kinase inhibitors: a systematic revie... by Wengang Zhang, Jian Xiong, Yujie Li, Jing Nie, Wencheng Zhao, Zhiyi Guo, Xinyue Liu, Qianqian Zhang, Xuyang Chen, Li Ye, Zhimin Chen, Hao Wang, Kandi Xu, Lishu Zhao, Yujin Liu, Lihua Huang, Yuhang Li, Yayi He

“…Design: A systematic review and network meta-analysis (NMA) using a Bayesian framework. Data sources and methods: The PubMed, Embase, Cochrane Library databases, and abstracts of ASCO, ESMO, and WCLC were searched from database inception to November 3, 2024, to identify eligible randomized controlled trials (RCTs) that assessed distinct regimens for individuals with advanced EGFR-mutated NSCLC who progressed on TKIs. …”
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