Soil microbial nutrient limitation and carbon use efficiency in relation to altitude and slope aspect in arid and semi-arid mountainous ecosystems by Xinrui He, Jie Zheng, Jie Gao, Yuanyuan Wu, Peixuan Yan, Wenqiu Cao, Xilu Ni, Changxiao Li

“…Arid and semi-arid ecosystems significantly influence the carbon cycle, with soil microbes playing a crucial role in this process. However, our understanding of the specific factors influencing nutrient limitation of soil microbial communities and their contribution to carbon sequestration still remains limited, especially in the context of the coupling effect of altitude and slope aspects. …”
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Development and use of a cognitive system model for solving problems of purposeful behavior by A. A. Solodov, V. M. Trembach

“…The knowledge base for the formation of adaptation plans of purposeful behavior of the intellectual system is developed.For the key procedures of the cognitive system functioning, the concepts of optimal estimates of state vectors and optimal control process are introduced, which allow to synthesize the best in a certain sense algorithms and technical devices. …”
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Machine learning and response surface methodology forecasting comparison for improved spray dry scrubber performance with brine sludge-derived sorbent by B.J. Chepkonga, L. Koech, R.S. Makomere, H.L. Rutto

“…A quadratic model correlating the process variables with desulfurization efficiency was developed, yielding an R-squared value of 93.47%. …”
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National standards of pharmaceutical education in the context of reforming legislation of higher education by І. M. Alieksieieva

“…Socially significant steps of Ukraine in the issue of European integration are measures to reform the legislation on higher education in the context of the Bologna process, namely: the adoption of the National Qualifications Framework and the new edition of the Law of Ukraine "On Higher Education." …”
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The incidence of COVID-19 medical workers. The issues of biosafety and occupational risk factors by T. A. Platonova, A. A. Golubkova, A. V. Tutelyan, S. S. Smirnova

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On-Chip Age Estimation Using Machine Learning by Turki Alnuayri, Saqib Khursheed, Daniele Rossi

“…The machine learning (ML) algorithm of support vector regression (SVR) is adapted for this application, using a training process that involves operating temperature, <inline-formula> <tex-math notation="LaTeX">$\tau _{dv}$ </tex-math></inline-formula>, f, aging time and inter-die and intra-die process variation (PV). …”
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An Enhanced Retrieval Scheme for a Large Language Model with a Joint Strategy of Probabilistic Relevance and Semantic Association in the Vertical Domain by Qi Chen, Weifeng Zhou, Jian Cheng, Ji Yang

“…To solve these problems, in this study, an enhanced retrieval scheme for LLM processing was developed, named the BM-RAGAM (BM25 retrieval-augmented generation attention mechanism), by constructing a vectorized knowledge base, utilizing a hybrid joint retrieval strategy of keyword matching through searching and a semantic-enhanced association with an attention mechanism and taking ocean-front- and eddy-related knowledge in oceanography as an example. …”
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Correlation Analysis of External Environment Risk Factors for High-Speed Railway Derailment Based on Unstructured Data by Haixing Wang, Yuanlanduo Tian, Hong Yin

“…Based on the data on unsafe events, this paper utilizes big data processing technology, conducts association rules mining and association degree analysis, extracts the word segmentation, and obtains the feature vector of unsafe fault event data. …”
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A Two-Stage Bayesian Receiver for Massive Grant-Free OFDM-NOMA With Interfering Pilot Symbols by Fakher Sagheer, Frederic Lehmann, Antoine O. Berthet

“…However, in practical systems where pilot symbols are shared among a large number of users, the process is complicated by pilot interference. This paper introduces a pilot-only clustered multiple sparse Bayesian learning approach to address this acquisition challenge. …”
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Analisis Sentimen untuk Evaluasi Reputasi Merek Motor XYZ Berkaitan dengan Isu Rangka Motor di Twitter Menggunakan Pendekatan Machine Learning by Ferdian Maulana Akbar, Robby Hermansyah, Sofian Lusa, Dana Indra Sensuse, Nadya Safitri, Damayanti Elisabeth

“…Note that this study does not include the deployment process of the machine learning model or dashboard creation, nor does it address brand reputation or sentiment analysis on other social media platforms such as TikTok or Instagram. …”
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Influencing factors of cross screening rate and its intelligent prediction model by Lala ZHAO, Feng XU, Chenlong DUAN, Chenhao GUO, Wei WANG, Haishen JIANG, Jinpeng QIAO

“…The mathematical model of the screening process and the DEM (Discrete Element Method) model are difficult to accurately predict the actual screening performance. …”
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Disulfidptosis-related gene in acute myocardial infarction and its diagnostic value and functions based on bioinformatics analysis and machine learning by Liwen Chen, Jinru Wei, Jinru Wei, Guoxiong Deng, Guoxiong Deng, Guien Xu

“…At the same time, key genes further screened by Support Vector Machine (SVM), Lasso regression, as well as random forest. …”
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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. …”
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Data-driven fault detection and positioning of eccentric rolls in roll-to-roll systems using wrap angle and sensor proximity by Yoonjae Lee, Minjae Kim, Jaehyun Noh, Gyoujin Cho, Changwoo Lee

“…Conclusively, the FCM is positioned as a pivotal tool for advancing industrial diagnostic processes, with future work suggested in the areas of adaptive feature extraction techniques and real-time model integration to improve the reliability and adaptability of R2R manufacturing.…”
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Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Automatic hate speech detection (HSD) from text is an emerging research problem in natural language processing (NLP). Researchers developed various approaches to solve the automatic hate speech detection problem using different corpora in various languages, however, research on the Urdu language is rather scarce. …”
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Impact wear behavior of austenitic steel bucket teeth based on machine learning by Zhihui Cai, Jianfeng Yan, Yandong Qiao, Rongjie Li, Yanchun Shi, Junping Zhang, Zhixiong Zhang

“…A particle swarm optimization support vector machine was employed to accurately predict wear depth. …”
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Performance Predictions of Solar-Assisted Heat Pumps: Methodological Approach and Comparison Between Various Artificial Intelligence Methods by Minghui Ma, Oguzhan Pektezel, Vincenzo Ballerini, Paolo Valdiserri, Eugenia Rossi di Schio

“…This process is inherently complex and presents significant challenges. …”
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Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

“…Herein, wavelet threshold processing, short-time Fourier transform, and periodogram methods are employed to process radar echo data. …”
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Enhanced Medical Education for Physically Disabled People through Integration of IoT and Digital Twin Technologies by Abhishek Kumar, Abdul Khader Jilani Saudagar, Muhammad Badruddin Khan

“…A unique visual response algorithm has been developed to enhance the processing of visual vector data, resulting in a more efficient IoT service development process. …”
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Investigation of brain response to acquisition and learning the second languages based on EEG signals and machine learning techniques by Talal A. Aldhaheri, Sonali B. Kulkarni, Pratibha R. Bhise, Baraq Ghaleb

“…The data was pre-processed, cleaned, and analyzed to extract language learning-related features. …”
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