Early Prediction of Remaining Useful Life for Lithium-Ion Batteries with the State Space Model by Yuqi Liang, Shuai Zhao

“…Subsequently, the top three highest correlated features are selected, and only the first 300 cycling data are used for training. …”
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Possibilities of a software-based hybrid single photon emission computed tomography/ magnetic resonance imaging in the diagnosis of complicated diabetic foot syndrome by V. D. Zavadovskaya, M. A. Zorkal’tsev, V. D. Udodov, M. A. Zamyshevskaya, O. Yu. Kilina, A. P. Kurazhov, K. M. Popov

“…Objective: to give the results of a software-based hybrid single photon emission computed tomography/magnetic resonance imaging (SPECT/MRI) in detecting osteomyelitis (OM) in patients with diabetic foot syndrome (DFS).Material and methods. …”
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A hybrid blockchain-based solution for secure sharing of electronic medical record data by Gang Han, Yan Ma, Zhongliang Zhang, Yuxin Wang

“…To address the inherent complexity of managing multiple blockchains, a unique cross-chain signature algorithm is introduced, based on the Boneh-Lynn-Shacham (BLS) signature aggregation technique. …”
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Determination of the inter-repair cycle of production boreholes for underground uranium leaching by Yu. А. Arsentiev, A. P. Nazarov, N. V. Soloviev, D. А. Ivanov, А. G. Ivanov

“…This work is an attempt to analytically develop the main indicator of the duration of the overhaul cycle of the operation of technological wells to determine the frequency of repair and restoration work (RVR) depending on the intensity of the decline in the productivity of borehole in situ leaching (IIL) wells and the coefficient for selecting an effective type of complexes of technical means and technological methods for carrying out RVR.Materials and methods. …”
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Accelerated design of eutectic high-entropy alloys using high-throughput phase diagram calculations and machine learning by Mingxu Wu, Bang Guan, Junfeng Wang, Shubin Wang, Chao Yang, Chuan Zhang, Da Shu, Chengbo Xiao, Baode Sun

“…Designing eutectic high-entropy alloys (HEAs) with a stable dual-phase structure is prospective for high-temperature structural materials, but remains a challenge due to the complexity of multicomponent compositional space. This study introduces a machine learning (ML) based classification model to assist the high-throughput thermodynamic calculations (HTCs), improving the efficiency by identifying eutectic, near-eutectic and non-eutectic compositions in the VNbTiTaSi system using the parameters that determine the eutectic forming ability. …”
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Explainable AI-Enhanced Human Activity Recognition for Human–Robot Collaboration in Agriculture by Lefteris Benos, Dimitrios Tsaopoulos, Aristotelis C. Tagarakis, Dimitrios Kateris, Patrizia Busato, Dionysis Bochtis

“…The XGBoost-based model, selected mainly for allowing an in-depth analysis of feature contributions by considerably reducing the complexity of calculations, demonstrated strong performance in HAR. …”
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BER performance analysis of polar-coded FBMC/OQAM in the presence of AWGN and Nakagami-m fading channel by Tadele A. Abose, Fanuel O. Ayana, Thomas O. Olwal, Yihenew W. Marye

“…It offers several advantages over traditional orthogonal frequency-division multiplexing (OFDM) modulation, including higher spectral efficiency, lower out-of-band emission, and improved robustness to time-frequency selective channels. …”
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An Interpretable Hybrid Deep Learning Model for Molten Iron Temperature Prediction at the Iron-Steel Interface Based on Bi-LSTM and Transformer by Zhenzhong Shen, Weigang Han, Yanzhuo Hu, Ye Zhu, Jingjing Han

“…This paper proposes an interpretable hybrid deep learning model combining Bi-LSTM and Transformer to solve the complexity of temperature drop prediction. By leveraging Catboost-RFECV, the most influential variables are selected, and the model captures both local features with Bi-LSTM and global dependencies with Transformer. …”
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Measurement and assessment of human resources in information economy: substantive and methodological aspect by Krasova Elena

“…The following weaknesses of the existing methodical base were identified: lack of a unified understanding of the category of “human resources” and some related categories, complexity of selecting indicators and indirectness of assessments, mixing different types of indicators in one measurement procedure, shift towards assessing the socio-demographic component, underestimation of feedback in the interaction of human resources with the economic, social, institutional environment, underdeveloped synthesis of traditional and digital methods. …”
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Fast Adaptive CU Partition Decision Algorithm for VVC Intra Coding by Lina Si, Wendi Zhu, Qiuwen Zhang

“…However, when the CU selects the division type, it needs to traverse all possible division types and compute the Rate-distortion (RD) cost, which greatly enhances the coding complexity. …”
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Three-Dimensional Plant Model Development Through Image Recognition by Yuya Hosoda, Ganzurkh Bilguun, Jin Oboshi, Hitoshi Goto

“…Finally, we construct a vector-search system incorporating k-means clustering and dimensionality reduction to limit the search scope and minimize computational complexity. Experimental results show that the proposed method efficiently obtains the most similar 3D model in the database, achieving a mean reciprocal rank of 0.90 and a search time of 0.003 s per query.…”
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Hybrid precoding and power allocation for mmWave NOMA systems based on time delay line arrays by Gangcan SUN, Xinli WU, Wanming HAO, Zhengyu ZHU

“…Methods:To reduce inter-user interference,an improved K-means algorithm is proposed to group users and select a cluster head for each group of users, which maximizes the correlation of user channels in the same cluster and reduces the correlation between users in different clusters as much as possible;Then,a low-complexity analog precoding is designed to maximize the array gain of the antenna based on the relevant user channel matrix composed of the cluster head set, followed by a digital precoding designed to eliminate inter-user interference with the maximum equivalent channel gain between beams using a forced-zero technique; Finally, an EE maximization problem is formed to optimize the transmit power under users'quality of services and total transmit power constraints,and a two-layer iterative algorithm is proposed for the resulting non-convex optimization problem. …”
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Recovery in personality disorders: the development and preliminary testing of a novel natural language processing model to identify recovery in mental health electronic records by Giouliana Kadra-Scalzo, Jaya Chaturvedi, Oliver Dale, Richard D. Hayes, Lifang Li, Shaza Mahmood, Jonathan Monk-Cunliffe, Angus Roberts, Paul Moran

“…Yet, investigating non-symptomatic recovery in the field of personality disorders has been particularly challenging due to complexities in capturing the occurrence of recovery. …”
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A bibliometric analysis of the economic effects of using artificial intelligence and ChatGPT tools in higher education institutions by Anna Vorontsova, Svitlana Tarasenko, Wojciech Duranowski, Arkadiusz Durasiewicz, John Soss, Artem Bilovol

“…One of the main challenges in higher education management is the complexity of resource optimization and increasing volumes of data, which limits the efficiency and accuracy of decision-making. …”
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Effects of Different Biochars on Cd Immobilization in Rice Paddy Soil: A Two-year Field Study by Haochuan Ge, Fengfeng Sui, Yangqiong Pu, Guixiang Quan, Liqiang Cui, Jinlong Yan

“…This study addressed the efficiency of different biochars in Cd immobilization in soil. …”
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Integrated transcriptomic and functional modeling reveals AKT and mTOR synergy in colorectal cancer by Marcin Duleba, Eliza Zimoląg, Joanna Szuszkiewicz, Marcin Serocki, Joanna Szklarczyk, Olga Dracz, Alexander Kurzejamski, Izabella Więckowska, Marcelina Chmiel, Barbara Lipert, Katarzyna Sarad, Joanna Krawczyk, Oleksii Bryzghalov, Agata Stachowicz-Wałaszek, Karolina Pyziak, Joanna Drozdowska, Krzysztof Baczyński, Konrad Wojtowicz, Maurycy Chronowski, Krzysztof Rataj, Magdalena Otrocka, Michał Mikula, Paula Feliksiak, Rafał Dziadziuszko, Tomasz Rzymski, Andrew Thomason, Krzysztof Brzózka, Andrzej Mazan

“…High-throughput screening (HTS) of 4255 compounds identified 33 with selective efficacy against CRC cells, sparing normal, healthy epithelial cells. …”
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Identification and Functional Testing of ERCC2 Mutations in a Multi-national Cohort of Patients with Familial Breast- and Ovarian Cancer. by Andreas Rump, Anna Benet-Pages, Steffen Schubert, Jan Dominik Kuhlmann, Ramūnas Janavičius, Eva Macháčková, Lenka Foretová, Zdenek Kleibl, Filip Lhota, Petra Zemankova, Elitza Betcheva-Krajcir, Luisa Mackenroth, Karl Hackmann, Janin Lehmann, Anke Nissen, Nataliya DiDonato, Romy Opitz, Holger Thiele, Karin Kast, Pauline Wimberger, Elke Holinski-Feder, Steffen Emmert, Evelin Schröck, Barbara Klink

“…Ten out of eleven mutations that were tested exemplarily in cell-based functional assays exert diminished excision repair efficiency and/or decreased transcriptional activation capability. …”
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Comprehensive characterization and environmental implications of industrial and hazardous incineration ashes: insights into chemistry, mineralogy, elements’ fractionation and leach... by Monika Kasina, Anna Telk, Małgorzata Wendorff-Belon

“…The complexity of mineral composition and bonds within the sample indicates the necessity for a thorough environmental assessment to understand the potential impacts on the ecosystem. …”
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Tools for forecasting regional economic growth using big data and business intelligence technologies by Afanasev Kirill, Kalinin Aleksandr

“…The significance of the study is due to the increasing complexity of regional economic growth forecasting in the context of digital transformation and the limitations of traditional analysis methods. …”
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Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods. by Morgan A Ziegenhorn, Kaitlin E Frasier, John A Hildebrand, Erin M Oleson, Robin W Baird, Sean M Wiggins, Simone Baumann-Pickering

“…However, due to the size of this dataset and the complexity of species-level acoustic classification, multi-year, multi-species analyses had not yet been completed. …”
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