CONCEPTUAL FOUNDATIONS OF ORGANIZATIONAL CULTURE OF MANUFACTURING ENTERPRISES IN THE WARTIME PERIOD by Maksym V. Kostromskyi

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A systematic review of ticks and tick-borne pathogens of cattle reared by smallholder farmers in South Africa by Katleho Sechaba Monakale, Maphuthi Betty Ledwaba, Rae Marvin Smith, Realeboga Masego Gaorekwe, Dikeledi Petunia Malatji

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Exploratory actor mapping of social interactions within tick risk surveillance networks in France by Iyonna Zortman, Laurence Vial, Thomas Pollet, Aurélie Binot

“…Ticks are important zoonotic disease vectors for human and animal health worldwide. In Europe they are the principal vector of public health importance, responsible for Lyme disease, the most prevalent and widespread tick-borne disease (TBD). …”
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Genetic and morphometric differentiation between two morphs of Haematobosca sanguinolenta (Diptera: Muscidae) from Thailand by Tanasak Changbunjong, Thekhawet Weluwanarak, Sedthapong Laojun, Gerard Duvallet, Tanawat Chaiphongpachara

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Comparative analysis of duck Tembusu virus Cluster 1 and Cluster 2.1 in Culex tritaeniorhynchus: Insights into viral characteristics, infectivity, and innate immune response by Chalida Sri-in, Duangduean Prakairungnamthip, Kanana Rungprasert, Aunyaratana Thontiravong, Lyric C. Bartholomay, Sonthaya Tiawsirisup

“…Our objective was to explore the relationship between the mosquito vector and DTMUV genotype, intending to determine whether the mosquito vector alters viral biology, thereby influencing the consequential infectivity characteristics in the host cells. …”
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ScannerVision: Scanner-based image acquisition of medically important arthropods for the development of computer vision and deep learning models by Song-Quan Ong, Nathan Pinoy, Min Hui Lim, Kim Bjerge, Francisco Javier Peris-Felipo, Rob Lind, Jordan P. Cuff, Samantha M. Cook, Toke Thomas Høye

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Gene regulation in Cryptosporidium: New insights and unanswered questions by Samantha Gunasekera, Jessica C. Kissinger

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Prevalence and risk factors of Dirofilaria immitis infection in dogs from Mexico, including serum pre-heat treatment for the dissociation of immune complexes by Samantha Hay-Parker, Roger I. Rodriguez-Vivas, Emilia Tobias, Frederic Beugnet, Nancy Montes, Erick García, Diego Bazaldua

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Release note: VBFNLO 3.0 by Julien Baglio, Francisco Campanario, Tinghua Chen, Heiko Dietrich-Siebert, Terrance Figy, Matthias Kerner, Michael Kubocz, Duc Ninh Le, Maximilian Löschner, Simon Plätzer, Michael Rauch, Ivan Rosario, Robin Roth, Dieter Zeppenfeld

“…An interface according to the Binoth Les Houches Accord (BLHA) has been added for all VBF and di/tri-boson processes including fully leptonic decays. For all dimension-8 operators affecting vector boson scattering (VBS) processes, a modified T-matrix unitarization procedure has been implemented. …”
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MLHOps: Machine Learning Health Operations by Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

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Machine Learning-Based Modelling and Predictive Maintenance of Turning Operation under Cooling/Lubrication for Manufacturing Systems by Gurpreet Singh, Jothi Prabha Appadurai, Varatharaju Perumal, K. Kavita, T. Ch Anil Kumar, DVSSSV Prasad, A. Azhagu Jaisudhan Pazhani, K. Umamaheswari

“…Every production and manufacturing needs to develop a technology, i.e., a cooling or lubrication system at the cutting zone while doing the metal cutting process. This current work focuses on developing the machine learning algorithm by using three different types of regression processes, namely, polynomial regression process (PR), support vector regression (SVR), and gaussian process regression (GPR). …”
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Study on magnetic field parameters in the inductor working chamber by Nikolay V. Limarenko, Victor P. Zharov, Yury V. Panov, Boris G. Shapoval

“…The inductor which allows the usage of the magnetic field in the agriculture technological processes is considered. The measuring technique of the electromagnetic field vector characterization - magnetic induction that evaluates the quality of the technological process in the inductor chamber - is offered. …”
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Comparative Analysis of Machine learning Methods to Identify signs of suspicious Transactions of Credit Institutions and Their Clients by Yu. M. Beketnova

“…It is required to select a mathematical toolkit for analyzing data on credit institutions, which allows tracking the involvement of a bank in money laundering processes. The paper provides a comparative analysis of the results of processing data on the activities of credit institutions using classification methods — logistic regression, decision trees. …”
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Energy-enhanced dimension eight SMEFT effects in VBF Higgs production by Benoît Assi, Adam Martin

“…Abstract We study Higgs boson production via vector boson fusion at the LHC, focusing on the process pp → H + jj and capturing the leading energy-enhanced contributions within the Standard Model Effective Field Theory (SMEFT) up to order 1/Λ4. …”
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COMPOSITE PEDAGOGICAL STAFF-CLUSTERS AS A CONDITION OF DEPARTMENT EDUCATIONAL AND METHODICAL WORK DEVELOPMENT by Vladimir A. Fedorov, Aleksandr V. Stepanov, Tatyana M. Stepanova

“…Suhomlinsky, etc.) and organizational-psychological (by K. Rogers, etc.) processes, and also ideas of synergetics extrapolated into organizational-pedagogical processes. …”
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Survey of video behavior recognition by Huilan LUO, Chanjuan WANG, Fei LU

“…Behavior recognition is developing rapidly,and a number of behavior recognition algorithms based on deep network automatic learning features have been proposed.The deep learning method requires a large number of data to train,and requires higher computer storage and computing power.After a brief review of the current popular behavior recognition method based on deep network,it focused on the traditional behavior recognition methods.Traditional behavior recognition methods usually followed the processes of video feature extraction,modeling of features and classification.Following the basic process,the recognition process was overviewed according to the following steps,feature sampling,feature descriptors,feature processing,descriptor aggregation and vector coding.At the same time,the benchmark data set commonly used for evaluating the algorithm performance was also summarized.…”
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Exploring the longitudinal expression dynamics of midguts in adult female Amblyomma americanum ticks by Stephen Lu, Lucas C. de Sousa-Paula, Jose M. C. Ribeiro, Lucas Tirloni

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Integration of Genetic Algorithm with Machine Learning for Properties Prediction by Rathachai Chawuthai, Siripan Murathathunyaluk, Nalin Amornratthamrong, Run Arunchaipong, Amata Anantpinijwatna

“…Algorithms such as Linear Regression, Support Vector Machine, Random Forest, and Gaussian Process are selected through trial-and-error to identify the most suitable approach. …”
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Adaptive convolutional neural network-based principal component analysis algorithm for the detection of manufacturing data by Tsun-Kuo Lin

“…In summary, the proposed algorithm utilizes a CNN to recognize image signals and employs PCA-based support vector machine scheme for processing measurement data inputs. …”
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Electroweak measurements at the LHC and HL-LHC with ATLAS and CMS by Magnan Anne-Marie

“…A review of the measurements available for vector boson scattering and triboson processes will follow, both class of processes sensitive to anomalous quartic gauge couplings. …”
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