Deep learning approach to the estimation of the ratio of reproductive modes in a partially clonal population by T. A. Nikolaeva, A. A. Poroshina, D. Yu. Sherbakov

“…Genetic diversity among biological entities, including populations, species, and communities, serves as a fundamental source of information for understanding their structure and functioning. …”
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Interdisciplinary medical education practices: building a case-driven interdisciplinary simulation system based on public datasets by Kangli Qiu, Tianshu Zeng, Wenfang Xia, Miaomiao Peng, Wen Kong

“…This creates a closed-loop practice that spans data sample selection and processing to front-end interaction. …”
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A probabilistic approach for building disease phenotypes across electronic health records by David Vidmar, Jessica De Freitas, Will Thompson, John M. Pfeifer, Brandon K. Fornwalt, Noah Zimmerman, Riccardo Miotto, Ruijun Chen

“…In this paper, we develop multiple heuristic “labeling functions’’ (LFs) for 4 diseases across de-identified EHR data and aggregate their votes through a majority vote approach (MV), a popular open-source approach (Snorkel OSS), and our proposed probabilistic approach (LEVI). …”
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Classification analysis of modern bioreactor systems (review). Part 1. Classification of bioreactors by design parameters by A. A. Dosaev, R. R. Safarov, N. V. Menshutina

“…Due to the active use of bioreactors, in order to optimize production processes and reduce operating costs, new highly efficient automated devices with a variety of functions are being developed using modern automation technologies, artificial intelligence and 3-D printing. …”
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Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…On 22 benchmark datasets, DeepMol obtained competitive pipelines compared with those requiring time-consuming feature engineering, model design and selection processes. As one of the first AutoML tools specifically developed for the computational chemistry domain, DeepMol stands out with its open-source code, in-depth tutorials, detailed documentation, and examples of real-world applications, all available at https://github.com/BioSystemsUM/DeepMol and https://deepmol.readthedocs.io/en/latest/ . …”
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Implementation of Halal Label as an Intangible Asset on Food and Beverage Business Sustainability by M. Mukhlis Amrullah, Gugus Irianto, Noval Adib

“…The results indicate that UB Coffee's management views the Halal Label as valuable and a source of pride, supporting UB Coffee's educational function as part of the educational institution UB and interpreting it as a shared value and commitment. …”
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FOOD SECURITY AND INCOME DIVERSIFICATION NEXUS: USDA APPROACH by Kazeem Oriyomi ABOABA, Akeem Adesina AKAMO, Damilare Michael FADIJI, Tohib Oyeyode OBALOLA

“…The result of the information function revealed that the scale is adaptable for this study. …”
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Comprehensive approaches to design efficient gRNA for SDN1-CRISPR/Cas9 genome editing in wheat by Tushadri Singh, Tushadri Singh, H. M. Mamrutha, Rajender Singh, J. P. Jaiswal, Zeenat Wadhwa, Rakesh Kumar, Omvir Singh, O. P. Ahlawat, Ratan Tiwari

“…By virtue of wheat being a hexaploid crop and having a large genome size with repetitive DNA, a tailor-made strategy for designing the gRNA is crucial.ResultThe manuscript explains the comprehensive strategies and methods for efficient gRNA designing by considering the physical and structural expression of the target gene in the genome and explains the on-target and off-target effects of gRNA for its precise editing through the CRISPR/Cas9-mediated SDN1 method of genome editing in wheat.ConclusionThe present manuscript is first of its kind to address the holistic approach, starting from efficient gene selection, gRNA designing, and post-gRNA designing issues like gRNA stability, binding efficiency, and functionality for SDN1-CRISPR/Cas9 genome editing in wheat. …”
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Fluxgate Magnetometers Based on New Physical Principles by Ivan V. Bryakin, Igor V. Bochkarev, Vadim R. Khramshin, Vadim R. Gasiyarov, Ivan N. Erdakov

“…The authors considered a generalized flow of the physical processes in the FM to obtain a detailed representation of the operating functions of the FM. The presented experimental results for the proposed FM in the field meter mode confirm its operating parameters (±40 μT—measurement range, 0.5 nT—detection threshold). …”
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An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…A multi-objective optimization model was subsequently established with the objective functions of minimizing node cost and maximizing spatial detection area. …”
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

“…For the optimization algorithm, we opted for the Adam optimizer and utilized the cross-entropy loss function. Additionally, we implemented ELU activation function, data augmentation, learning rate decay, and early stopping strategies to enhance the training efficiency and generalization capability of the model. …”
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PRIDE-FTG advances academic careers of underrepresented early-stage investigators performing blood disorders research by Betty S. Pace, Oluwatoyosi A. Onwuemene, Athena Starlard-Davenport, Rhea-Beth Markowitz, Vahé Heboyan, Petar Datsov, Treva Rice

“…Therefore, we evaluated a multipronged mentoring approach for early-stage underrepresented faculty trained in the Programs to Increase Diversity Among Individuals Engaged in Health-Related Research–Functional and Translational Genomics of Blood Disorders (PRIDE-FTG). …”
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Wastewater metagenomics in Africa: Opportunities and challenges. by Stephen Kanyerezi, Fatma Zahra Guerfali, Abbas Abel Anzaku, Oluwasegun Adesina Babaleye, Tracey Calvert-Joshua, Julien Alban Nguinkal, Oluwaseun Paul Amoo, Chiraz Atri, Waqasuddin Khan, Iqra Saleh, M Imran Nisar, Arthur Shem Kasambula, Koketso Morapedi, Gerald Mboowa

“…The advent of metagenomics has dramatically expanded our understanding of microbial communities, particularly through the study of wastewater, which serves as a rich source of microbial data. In Africa, wastewater metagenomics presents unparalleled opportunities for public health monitoring, antimicrobial resistance (AMR) tracking, and the discovery of new microbial species and functions. …”
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Ideal teacher of higher school: Personal qualities and socio-professional competencies by G. Z. Efimova, A. N. Sorokin, M. V. Gribovskiy

“…The increasing pace of knowledge renewal around the world and the unification of teacher requirements are changing the functioning and management of the higher education system. …”
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The Sloping Mire Soil-Landscape of Southern Ecuador: Influence of Predictor Resolution and Model Tuning on Random Forest Predictions by Mareike Ließ, Martin Hitziger, Bernd Huwe

“…This needs particular emphasis in complex tropical mountain soil-landscapes which provide a real challenge to any soil mapping approach but where Random Forest has proven to be successful due to the testing of model tuning and prepredictor selection.…”
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Induction of Convolutional Decision Trees for Semantic Segmentation of Color Images Using Differential Evolution and Time and Memory Reduction Techniques by Adriana-Laura López-Lobato, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes

“…The first technique is applied to select a representative sample of pixels from an image for the model’s training process, and the second technique is implemented to reduce the number of evaluations in the fitness function considered in the DE process. …”
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Potency-optimized CD28-activating bispecific antibody for the targeted treatment of Nectin-4 positive cancers by Manpreet Kaur, Starlynn C Clarke, Katherine E Harris, Nathan D Trinklein, Elaine C Chen, Katja Rüger, Udaya S Rangaswamy, Laura M Davison, Sebastian Moreno Arteaga, Imani Smith, Ruth Chu, Soumili Chattopadhyay, Mathias Rickert, Shelley Force Aldred

“…Background T-cell costimulation is crucial for an effective and sustained antitumor immune response, and inadequate expression of costimulatory ligands within tumors can impair T-cell function. Bispecific antibodies (bsAbs) targeting a tumor-associated antigen and the T-cell costimulatory receptor CD28 represent a novel class of immune-stimulatory therapeutics designed to enhance antitumor immune responses by selectively delivering T-cell costimulation directly to the tumor microenvironment. …”
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Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…To improve the imaging performance, two spectral pretreatment methods (wavelet transform, standard normal variable transformation and detrend), three feature selection methods (successive projection algorithm, genetic algorithm, and shuffled frog leaping algorithm), and four regression modeling methods (principal components regression, partial least squares regression, least square-support vector regression, convolutional neural network) were employed and compared. …”
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Carbon‐Based Textile‐Structured Triboelectric Nanogenerators for Smart Wearables by Abdullah Sayam, Md. Mahfuzur Rahman, Abu Sadat Muhammad Sayem, A. T. M. Faiz Ahmed, Shah Alimuzzaman

“…However, one of the challenges is low electric power output, which can be addressed by meticulous selection of material pairs with significant differences in work function and optimizing contact areas. …”
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Compositional and nutritional value of lupin cultivars: Identifying high-protein seeds for enhanced protein isolate production and phytochemical valorisation by Pau Taberner-Pibernat, Albert Ribas-Agustí, Gisela Quinteros, Gerard Sabeña, Miguel López-Gómez, Rubén Domínguez-Valencia, Ricard Bou

“…These findings highlight the potential of lupin for diverse applications in the food and industrial sectors. Cultivar selection is essential to enhance protein extraction yields and colour, as well as to consider lupin as a source of various phytochemicals for valorisation.…”
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