Planning of career growth of agricultural enterprises staff by Litynska V.

“…The works of foreign researchers are studied and an algorithm for planning career growth for employees of agricultural enterprises is generalized, which will contribute to successful career formation. …”
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Feature Variable Selection Based on VIS-NIR Spectra and Soil Moisture Content Prediction Model Construction by Nan Zhou, Jin Hong, Bo Song, Shichao Wu, Yichen Wei, Tao Wang

“…The investigation looked at how changes in the soil moisture content impacted the response of the soil spectra. The researchers used a genetic algorithm (GA), interval combination optimization (ICO), and competitive adaptive reweighted sampling (CARS) to filter feature variables from full-band spectral data. …”
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THE IMPORTANCE OF TARGETED NEXT-GENERATION SEQUENCING USAGE IN CYTOGENETICALLY NORMAL MYELOID MALIGNANCIES by Emine Atli, Rasime Kalkan, Cisem Mail, Damla Eker, Ufuk Demirci, Selma Demir, Sinem Yalcintepe, Hakki Onur Kirkizlar, Engin Atli, Hakan Gurkan, Ahmet Muzaffer Demir

“…In this paper, we drew an algorithm for evaluation of the myeloid malignancies. …”
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Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens by Cheng Han, Shiying Lu, Pan Hu, Jiang Chang, Deying Zou, Feng Li, Yansong Li, Qiang Lu, Honglin Ren

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Enhancing Resilience and Efficiency in Power System: A Five-Level Dynamic Planning Model by Mahnaz Rezaei, Mohammad Tolou Askari, Meysam Amirahmadi, Vahid Ghods

“…Researchers consider the planning of power systems to be of utmost importance, and due to its significant budget, further studies on the resilience of energy systems are necessary. …”
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GRU-based multi-scenario gait authentication for smartphones by Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI

“…At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user changes in different scenarios, and the user’s gait data collected by the orientation-sensitive sensor will be biased accordingly.Therefore, it has become an urgent problem to provide a multi-scenario high-accuracy gait authentication method for smartphones.In addition, the selection of the model training algorithm determines the accuracy and efficiency of gait authentication.The current popular authentication model based on long short-term memory (LSTM) network can achieve high authentication accuracy, but it has many training parameters, large memory footprint, and the training efficiency needs to be improved.In order to solve the above problems a multi-scenario gait authentication scheme for smartphones based on Gate Recurrent Unit (GRU) was proposed.The gait signals were preliminarily denoised by wavelet transform, and the looped gait signals were segmented by an adaptive gait cycle segmentation algorithm.In order to meet the authentication requirements of multi-scenario, the coordinate system transformation method was used to perform direction-independent processing on the gait signals, so as to eliminate the influence of the orientation of the smartphone and the movement of the user on the authentication result.Besides, in order to achieve high-accuracy authentication and efficient model training, GRUs with different architectures and various optimization methods were used to train the gait model.The proposed scheme was experimentally analyzed on publicly available datasets PSR and ZJU-GaitAcc.Compared with the related schemes, the proposed scheme improves the authentication accuracy.Compared with the LSTM-based gait authentication model, the training efficiency of the proposed model is improved by about 20%.…”
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Two-party cooperative blind signature based on SM2 by Xue BAI, Baodong QIN, Rui GUO, Dong ZHENG

“…SM2, issued by China in 2010, is a public key cryptography standard based on elliptic curves.It has been widely used in finance, social security and other fields thanks to its advantages of improved signature efficiency, decreased storage space and computing complexity than RSA.With the popularization and application of SM2, the issues of its key security and data privacy are of great concern.The single-key mode inhibits the potential application in multi-user settings, and the leakage of the key will threaten the security of the entire cryptosystem due to the centralization.The problem of secure storage and reasonable utilization of keys needs to be solved urgently.In addition, the SM2 digital signature algorithm cannot guarantee the message privacy.Aiming at the issues of key security and data privacy of the signature algorithm, many researchers have proposed the idea of cooperative signature and blind signature for SM2.However, there isn’t SM2 collaborative blind signature scheme proposed.Then a two-party cooperative blind signing protocol based on SM2 was proposed in this paper, which allowed two parties to sign except the user.The signing process did not require recovering the complete private key, while not revealing the information of the partial private key and secret number.The key was stored separately to improve the security of the key, while the blind signature protected the privacy of the message.In terms of security, the protocol satisfied unforgeability and unlinkability.The protocol was implemented using C to demonstrate the efficiency of each participant’s local operation.In the honest model, the time cost of each entity in the cooperative signature phase was similar as that of executing a lightweight SM2 blind signature.Overall, the proposed protocol has certain advantages in terms of function and efficiency.…”
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The Safety of Hyperbaric Oxygen Therapy in the Treatment of Covid-19 by O. A. Levina, A. K. Еvseev, A. K. Shabanov, V. V. Kulabukhov, N. Y. Kutrovskaya, I. V. Goroncharovskaya, K. A. Popugaev, D. A. Kosolapov, D. S. Slobodeniuk, S. S. Petrikov

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Deep molecular profiling of synovial biopsies in the STRAP trial identifies signatures predictive of treatment response to biologic therapies in rheumatoid arthritis by Myles J. Lewis, Cankut Çubuk, Anna E. A. Surace, Elisabetta Sciacca, Rachel Lau, Katriona Goldmann, Giovanni Giorli, Liliane Fossati-Jimack, Alessandra Nerviani, Felice Rivellese, Costantino Pitzalis, the STRAP collaborative group

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RATIONAL USE OF NONSTEROIDAL ANTI-INFLAMMATORY DRUGS. CLINICAL GUIDELINES by A. E. Karateev, E. L. Nasonov, V. T. Ivashkin, A. I. Martynov, N. N. Yakhno, G. P. Arutyunov, L. I. Alekseeva, G. R. Abuzarova, M. A. Evseev, M. L. Kukushkin, S. S. Kopenkin, A. M. Lila, T. L. Lapina, D. S. Novikova, T. V. Popkova, A. P. Rebrov, K. V. Skorobogatykh, N. V. Chichasova

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Diagnosis of gastrointestinal fistulas in pancreatic necrosis by X-ray and computed tomography by T. G. Barmina, L. T. Khamidova, O. A. Zabavskaya, I. E. Selina, P. A. Yartsev, F. A.-K. Sharifullin, I. E. Popova, E. A. Eletskaia, А. M. Kuzmin

“…The purpose of the study: to clarify the possibilities of using X-ray research methods in the framework of a comprehensive diagnosis of gastrointestinal fistulas in pancreatic necrosis.Materials and methods. …”
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Advanced tissue technologies of blood-brain barrier organoids as high throughput toxicity readouts in drug development by Luisa Bell, Claire Simonneau, Chiara Zanini, Elena Kassianidou, Christelle Zundel, Rachel Neff, Bernd Steinhuber, Marco Tecilla, Alex Odermatt, Roberto Villaseñor, Nadine Stokar-Regenscheit

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TelescopeML. II. Convolutional Neural Networks for Predicting Brown Dwarf Atmospheric Parameters by Ehsan (Sam) Gharib-Nezhad, Hamed Valizadegan, Natasha E. Batalha, Miguel J. S. Martinho, Ben W.P. Lew

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Mosquito breeding water parameters are important determinants for Microsporidia MB in the aquatic stages of Anopheles species by Esinam A. Akorli, Nana Efua Andoh, Richardson K. Egyirifa, Christopher Dorcoo, Sampson Otoo, Seraphim N. A. Tetteh, Reuben Mwimson Pul, Derrick B. Sackitey, Stephen K. D. Oware, Samuel K. Dadzie, Jewelna Akorli

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Exploring the Realization of Creative Dimensions within the Metaverse: The Case of Tabriz Metropolis by Saied Jaffari namvar, Hossein Nazmfar, Ibrahim Taghav

“…To ascertain the relative importance of research components, 20 experts were consulted using the preferential weighting evaluation ratio algorithm (SOARA). …”
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Congenital cytomegalovirus infection and its impact on the auditory function by R. A. Ivanova, M. Yu. Boboshko, E. S. Garbaruk, S. M. Vikhnina, V. V. Vasiliev, N. V. Rogozina, A. A. Grineva

“…The aim is to assess the frequency and time of hearing loss occurrence in children with congenital cytomegalovirus infection and to develop the audiological follow-up algorithm adapted for those children. Materials and methods: 60 children with verified congenital cytomegalovirus infection have been involved into research as the main group. 61 children, with other sensorineural hearing loss risk factors, but excluding congenital cytomegalovirus, were included into the comparison group. …”
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Ultra-Low Dose Computed Tomography Imaging in Quantifying Bone Trauma and Disorders: A Cross-Sectional Study by Fariba Zarei, Seyedeh Marzieh Ahmadi, Saber Dehbani-Zadeh, Anahita Jafari, Vyas Akondi, Sabyasachi Chatterjee, Seyed Alireza Mirhosseini, Rezvan Ravanfar Haghighi

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Factors Influencing Misinformation Propagation: A Systemic Review by HAN Xi, LIAO Ke

“…The study also identified some limitations of current studies, including an excessive focus on the political and health issues, a lack of attention to how information characteristics, intervention factors, and platform characteristics play a role, and the relative simplicity of the research methods. Future studies should focus on misinformation propagation in other scenarios, explore more information characteristics suitable for algorithmic intervention, examine the differences in misinformation propagation on different platforms, and use mixed research methods to reach more credible conclusions. …”
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Integrating weighted gene co-expression network analysis and machine learning to elucidate neural characteristics in a mouse model of depression by Jinli Gao, Qinglang Wang, Jie Liu, Siqian Zheng, Jiahong Liu, Zhiyong Gao, Cheng Zhu

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Climatic suitability and potential distribution of earleaf acacia and its candidate biological control agent Trichilogaster sp by Sara S. MacDonald, Emily J. Le Falchier, Lindsay P. Campbell, Ryan Zonneveld, Carey R. Minteer

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