Optimization of Fermentation Conditions for the Production of 2,3,5-Trimethylpyrazine by Recombinant <i>Bacillus licheniformis</i> by Xun Liu, Hongyi Gu, Handong Wang, Zhen Tang, Shuanglian Chen, Han Li, Wenli Quan

“…The TMP yield of recombinant strains with pHT01-<i>BlTDH</i> (N157A) reached 15.35 ± 1.51 mg/L, which was significantly higher than that of strains with pHT01-<i>BlTDH</i> (9.86 ± 1.24 mg/L) and strains with vector pHT01 (2.35 ± 0.58 mg/L). To further increase the TMP yield of strain YC7/pHT01-<i>BlTDH</i> (N157A), the fermentation process was optimized by single-factor experiments, and the response surface test was conducted using the Box–Behnken design. …”
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Nonreciprocal propagation of spin waves in a bilayer magnonic waveguide based on yttrium-iron garnet films by S. A. Odintsov, E. H. Lock, E. N. Beginin, A. V. Sadovnikov

“…We used an experimental microwave spectroscopy method based on a vector network analyzer along with a finite difference method to perform a numerical simulation of the dispersion characteristics of spin waves in two-layer magnonic microwave guides. …”
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HUMAN CAPITAL AS A RESOURCE FOR THE SOCIAL AND ECONOMIC DEVELOPMENT OF UKRAINE by Nataliia Vasіutkina, Oksana Kondratiuk, Iryna Stoianenk, Samira Piletska

“…The authors proved that the process of formation and development of human capital in Ukraine today can be considered more negative than positive. …”
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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files by Алан Нафієв, Андрій Родіонов

“…This article presents the development and architecture of an automated program complex designed to identify and analyze malicious executable files using a classifier based on a multiple kernel support vector machine (SVM). Goal. The aim of the work is to create an automated system that enhances the accuracy and efficiency of malware detection by combining static and dynamic analysis into a single framework capable of processing large volumes of data with optimal time expenditure. …”
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CAREER GUIDANCE PRACTICES UNDER THE CONDITIONS OF GLOBALISATION: A SOCIOLOGICAL ANALYSIS by G. F. Shafranov-Kutsev, G. Z. Efimova, M. Yu. Semenov

“…The materials and conclusions of the research can be used when developing effective recommendations to strengthen the process of professional orientation of young people in the education system.…”
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An enhanced alpha evolution moss growth optimizer for prognostic prediction in spontaneous intracerebral hemorrhage by Lingxian Hou, Yongsheng Wang, Xiuqi Lin, Chengye Li, Huangrong Guo, Congcong Jin, Yi Chen, Huiling Chen, Jing Ji, Wenzong Zhu

“…Furthermore, we adapt AEMGO to its binary version (bAEMGO) and combine it with a Support Vector Machine (SVM) to create the bAEMGO-SVM method. …”
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Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network by Yiming Chen, Wei Wang, Junchao Chen, Jizhou Deng, Yuanping Xiang, Bo Qiao, Xinghui Zhu, Changyun Li

“…The method follows a process of locating strawberry pixel regions, calculating centroid coordinates, determining the symmetry axis via PCA, and completing the depth image. …”
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Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

“…In this study, nine ML algorithms [Support-Vector Regression (SVR), Linear, Bagging, Stochastic Gradient Descent (SGD), Gaussian Process, Random Sample Consensus (RANSAC), Partial Least Squares (PLS), Kernel Ridge, and Random Forest] were applied to evaluate their efficiency in predicting the effects of zinc oxide nanoparticles (ZnO NPs: 0.5, 1, 5, 25, and 125 µM) and microparticles (ZnO MPs: 1, 5, 25, and 125 µM) on Carum copticum. …”
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Satellite imagery, big data, IoT and deep learning techniques for wheat yield prediction in Morocco by Abdelouafi Boukhris, Antari Jilali, Abderrahmane Sadiq

“…Several machine learning and deep learning algorithms have been used for the processing of crop recommendation system, such as logistic regression, KNN, decision tree, support vector machine, LSTM, and Bi-LSTM through the collected dataset. …”
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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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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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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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Kinetic theory of magnetic absorption of laser irradiation by nanoparticles by O. Yu. Semchuk, O. O. Havryliuk, A. A. Biliuk

“…The dependence of magnetic absorption on the ratio of the radii of curvature of spheroidal MNPs and the vector of the magnetic field of an electromagnetic (laser) wave was constructed and theoretically investigated. …”
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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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Investigation of Artificial Intelligence Techniques for the Management of Cataract Disease: A Systematic Review by Zahra Karbasi, Michaeel Motaghi Niko, Maryam Zahmatkeshan

“…Just as early prediction, diagnosis, and timely referral can reduce future complications of the disease, the use of systems based on artificial intelligence models that have acceptable accuracy can be effective in supporting the decision-making process of physicians and managing this disease.…”
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Professional propaedeutic council in the university by N. N. Malyarchuk, G. M. Krinitzyna, E. V. Pashchenko, V. V. Pivnenko

“…Today, different levels of government have declared the need for providing professional working capacity of people with disabilities in order to become socially and financially independent and avoid social dependence; at the higher vocational school, there is a change vector for social policy concerning this category of citizens – from delivery of educational services to reorientation to their socialisation. …”
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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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Architecture of an automated program complex based on a multiple kernel svm classifier for analyzing malicious executable files by Alan Nafiiev, Andrii Rodionov

“…This article presents the development and architecture of an automated program complex designed to identify and analyze malicious executable files using a classifier based on a multiple kernel support vector machine (SVM). Goal. The aim of the work is to create an automated system that enhances the accuracy and efficiency of malware detection by combining static and dynamic analysis into a single framework capable of processing large volumes of data with optimal time expenditure. …”
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The Modern Trends of Financial Reporting Development by Olga V. Rozhnova

“…The complexity of the way to it is natural, as the identification of the trends, their interpretation and description is a continuous process, aimed not only at summarizing of the next stage of development of the financial statements, but also on the creation of a prototype of the future stage.…”
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The transcription factor PITX1 cooperates with super-enhancers to regulate the expression of DUSP4 and inhibit pyroptosis in pulmonary artery smooth muscle cells by Jingya Zhang, Yuyu Song, Xinru Wang, Xu Wang, Songyue Li, Xinyue Song, Chong Zhao, Jing Qi, Yunyun Tian, Baoshan Zhao, Xiaodong Zheng, Yan Xing

“…However, whether SEs are involved in the pathological process of pyroptosis in PAH and the specific mechanism involved remain unclear. …”
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