Constitutive overexpression of Qui-Quine Starch gene simultaneously improves starch and protein content in bioengineered cassava (Manihot esculenta Crantz) by Bertrand Bachaumond Hankoua, Marieme Diao, Ayalew Ligaba-Osena, Rafael A. Garcia, Sarahani Harun, Yogesh K. Ahlawat, Yogesh K. Ahlawat

“…These gene networks comprised several functional categories regulating the starch metabolic and auxin biosynthetic processes. The role of QQS in imparting starch and protein content of transgenic cassava plants is validated. …”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…The mean concentration of cations is rated as Mg2 + > Ca2+ > Na+ > K+, while, the major anions are typically showing a ranking of HCO3- > Cl- > SO42- > NO3-. The geochemical processes influencing the chemistry of surface waters are primarily driven by the weathering of silicate minerals. …”
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H_221E; Switched Controller Design for a Class of Uncertain Linear Systems Using Derivative Feedback by Leidy D. Wolmuth, Uiliam Nelson L. T. Alves, Andre Krindges, Rodrigo Cardim, Edvaldo Assuncao, Marcelo C. M. Teixeira

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Mitochondrial insights: key biomarkers and potential treatments for diabetic nephropathy and sarcopenia by Yi Wei Chen, Shan He, Yu Wang, Lian Ying Hu, Qin Kai Chen, Si Yi Liu

“…Using Least Absolute Shrinkage and Selection Operator (LASSO), Support Vector Machine (SVM), Extreme Gradient Boosting (XGB), and Random Forest (RF) algorithms, we identified three key mitochondrial hub genes. …”
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Breast Cancer Image Classification Using Phase Features and Deep Ensemble Models by Edgar Omar Molina Molina, Victor H. Diaz-Ramirez

“…Next, a three-channel image is created using the local phase, amplitude, and orientation features of the ROI. A feature vector is constructed for the processed mammogram using the developed CNN model. …”
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Mo.Se.: Mosaic image segmentation based on deep cascading learning by Andrea Felicetti, Marina Paolanti, Primo Zingaretti, Roberto Pierdicca, Eva Savina Malinverni

“…The automatic segmentation process was tested with the high-resolution orthoimage of an ancient mosaic by following a close-range photogrammetry procedure. …”
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HUMAN RIGHTS CONTENT OF MODERN DIGITAL STRATEGY OF THE EUROPEAN UNION by Natalia V. Bocharova, Oleksander M. Bykov

“…The article is devoted to the study of the process of development of methodological approaches to legal regulation in the field of information and informatization in the EU, with emphasis on the provision of human rights in the conditions of the information society and the definition of vectors of democratic development. …”
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Direct current electrical fields inhibit cancer cell motility in microchannel confinements by Benjamin Karem Naggay, Saeed Khomeijani Farahani, Xu Gao, Andrew Holle, Ralf Kemkemer

“…In vitro, many cell types respond to electrical fields by migrating along the corresponding electrical field vectors. This process is known as galvano- or electrotaxis. …”
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Experimental Demonstration of Amplified Feedback DFB Laser With Modulation Bandwidth Enhancement Based on the Reconstruction Equivalent Chirp Technique by Jilin Zheng, Guowang Zhao, Yating Zhou, Zhike Zhang, Tao Pu, Yuechun Shi, Yunshan Zhang, Yu Liu, Lianyan Li, Jun Lu, Xing Zhang, Jin Li, Yuke Zhou, Xiangfei Chen

“…All the three sections of laser cavity, including DFB section, phase section, and amplified feedback section, have the same active layer, which can avoid the butt-joint regrowth process. The gratings in both DFB section and amplified feedback section are fabricated by the reconstruction equivalent chirp technique, which can significantly decrease the difficulties in realizing precise grating structure. …”
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基于空域转矩的齿轮传动系统分析方法 by 曾祥楷, 张光辉

“…It includes space domain spectrum analysis of torque from gear drive system, calculation of space domain frequency, post processing of spectrum, eigen vector and its relations with the structure parameters of gear drive system, method of application etc. …”
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Chemogenetic silencing of the subiculum blocks acute chronic temporal lobe epilepsy by Jianbang Lin, Jing Liu, Qi Zhang, Taian Liu, Zexuan Hong, Yi Lu, Cheng Zhong, Zhonghua Lu, Yuantao Li, Yu Hu

“…We then injected an adeno-associated viral (AAV) vector carrying an inhibitory chemogenetic element, hM4Di, directly into the subiculum. …”
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A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

“…The first step in the detection process is to extract important features from different domains, such as frequency domain, time-frequency domain, and non-linear domain, using methods such as Discrete Wavelet Transform (DWT) and Welch. …”
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Diversity and Dissemination of <i>Brettanomyces bruxellensis</i> During Winemaking and Barrel Aging by María Elena Sturm, Selva Valeria Chimeno, Magalí Lucía González, María Cecilia Lerena, María Cecilia Rojo, Lucía Maribel Becerra, Laura Analía Mercado, Mariana Combina

“…The analysis covered the entire process, from grape to six months of aging. <i>B. bruxellensis</i> yeasts were isolated and identified, and representative strains were typified by RAPD analysis. …”
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Optimization of methanol‐induced expression and His‐tag purification of Saccharomycopsis fibuligera R64 mutant α‐amylase in Pichia pastoris by Clara Claudia, Elsa Destiana, Rista Awalia, Mia Tria Novianti, Taufik Ramdani Tohari, Dewi Astriany, Shinta Kusumawardani, Muhammad Yusuf, Umi Baroroh

“…The native conditions retained higher protein integrity and activity, while the denaturing process resulted in partial degradation. Molecular dynamics (MD) simulations conducted to assess the structural stability of the His‐tagged Sfamy R64 α‐amylase mutant and its interaction with the maltose substrate. …”
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Lithium-Ion Battery State of Health Estimation Based on CNN-LSTM-Attention-FVIM Algorithm and Fusion of Multiple Health Features by Guoju Liu, Zhihui Deng, Yonghong Xu, Lianfeng Lai, Guoqing Gong, Liang Tong, Hongguang Zhang, Yiyang Li, Minghui Gong, Mengxiang Yan, Zheng Ye

“…This paper proposes a novel SOH predication method by combing the four-vector intelligent metaheuristic (FVIM) with the CNN-LSTM-Attention basic model. …”
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Dispersal and evolution of the invasive snail Pomacea canaliculata, an intermediate host of Angiostrongylus cantonensis: A field study around its initial introduction site in South... by Luo Du, Zhang Haitao, Gu Dangen, Mu Xidong, Song Hongmei, Yang Yexin, Xu Meng, Luo Jianren, Hu Yinchang

“…The geographic variations in phenotypic traits suggest a human-mediated evolutionary process in snail populations and highlight the complexity of the parasite transmission system. …”
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Machine learning techniques for predicting the peak response of reinforced concrete beam subjected to impact loading by Ali Husnain, Munir Iqbal, Hafiz Ahmed Waqas, Mohammed El-Meligy, Muhammad Faisal Javed, Rizwan Ullah

“…To address these challenges, this study investigates various ensemble and non-ensemble machine learning techniques—including support vector machine, gaussian process regression (GPR), k-nearest neighbor (KNN), gene expression programming, random forest, decision tree, boosted tree, adaptive boosting tree, gradient boosting algorithm, stochastic gradient descent, and artificial neural network—for predicting the peak response of RC beams under impact loads. …”
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Reliable models for calculating the condensation heat transfer inside smooth helical tubes of different flow directions utilizing smart computational techniques by Chou-Yi Hsu, Nikunj Rachchh, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Ahmad Alkhayyat, Prabhat Kumar Sahu, Abhinav Kumar, Satvik Vats, F. Ranjbar

“…Two machine learning (ML) techniques, namely Support Vector Machine (SVM) and Gaussian Process Method (GPM) were implemented to accomplish this target. …”
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A Novel Tool Wear Identification Method Based on a Semi-Supervised LSTM by Xin He, Meipeng Zhong, Chengcheng He, Jinhao Wu, Haiyang Yang, Zhigao Zhao, Wei Yang, Cong Jing, Yanlin Li, Chen Gao

“…These pseudo-labeled samples are combined with the original labeled samples to retrain the MR–LSTM model iteratively to improve its performance. This process continues until a termination condition is met. …”
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Analysis of the influence of the daily regulation of power stations on navigable flow conditions at river confluences using the LSTM model by Hongcheng Xue, Shihao Cui, Qian Ma, Zhongyong Li, Pengyu Zhou, Yuanyuan Li, Lingyun Xie

“…The continuity and momentum equations, along with the RNG k-ϵ turbulence model and the VOF model, were employed to simulate the river flow process at the confluence under unsteady flow conditions. …”
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