Validation of a method for estimating pulmonary dead space in ventilated beagles to correct exhaled propofol concentration in mixed air by Xiaoxiao Li, Pan Chang, Xing Liu, Zhongjun Zhao, Yixiang Duan, Wensheng Zhang

“…Methods Existing monitoring parameters, including time-volume and time-CO2 curves, were used to determine Vcap. …”
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Sex differences in the human brain related to visual motion perception by Dong-Yu Liu, Ming Li, Juan Yu, Yuan Gao, Xiaotong Zhang, Dewen Hu, Georg Northoff, Xue Mei Song, Junming Zhu

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On the Issue of Practical Orientation of Teaching Students of Technical Universities the Basics of Descriptive Geometry by L. G. Polyakov, T. D. Polyakova

“…The article presents the results of applying the practical orientation of the theoretical provisions of descriptive geometry for students studying in the direction of “Operation of transport and technological machines and complexes" of the Penza State University of Architecture and Construction. …”
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Cyber security Enhancements with reinforcement learning: A zero-day vulnerabilityu identification perspective. by Muhammad Rehan Naeem, Rashid Amin, Muhammad Farhan, Faisal S Alsubaei, Eesa Alsolami, Muhammad D Zakaria

“…In the present paper, we analyzed the statistical evaluation of forecasted values for several parameters in a reinforcement learning environment. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

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UAVs and Blockchain Synergy: Enabling Secure Reputation-Based Federated Learning in Smart Cities by Syed M. Aqleem Abbas, Muazzam A. Khan Khattak, Wadii Boulila, Anis Kouba, M. Shahbaz Khan, Jawad Ahmad

“…After most validators approve it, it will be available for use. Several parameters are taken into consideration during evaluation, including accuracy, precision, recall, F1-score, and time consumption. …”
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A GNSS-IR Soil Moisture Inversion Method Considering Multi-Factor Influences Under Different Vegetation Covers by Yadong Yao, Jixuan Yan, Guang Li, Weiwei Ma, Xiangdong Yao, Miao Song, Qiang Li, Jie Li

“…A low-order polynomial was applied to separate the reflected signals, extracting parameters such as phase, frequency, amplitude, and effective reflector height. …”
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Characteristics and Mechanisms of Single Event Effects Caused by Atmospheric Neutrons in System in Package Device by YE Jiefeng1, 2, LIANG Chaohui2, ZHANG Zhangang2, ZHENG Shunshun1, 2, LEI Zhifeng2, LIU Zhili3, GENG Gaoying3, HAN Hui1

“…Correlations between these effects and experimental parameters were found and the reasons for these correlations were analyzed. …”
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Climate Study of Changes of Major Water Resources in Qom Province Using Satellite Data and Remote Sensing Technologies by Nima Rohani, Taher Rajaee, Barat Mojaradi, Ehsan Jabbari, Seyed Ahmad Shafiei Darabi, Mehran Heidari Bani

“…Material and methods: First, using the available climatic parameters, the period and time steps of the study were determined. …”
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Prediction of soil chemical properties using multispectral satellite images and wavelet transforms methods by Chaitanya B. Pande, Sunil A. Kadam, Rajesh Jayaraman, Sunil Gorantiwar, Mukund Shinde

“…Forecasting of soil chemical properties and this model can be given more accurate information related to soil nutrient parameters. Now a day’s machine learning programming is an easy to applied on the natural resources and agriculture studies. …”
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Simulating the Carbon, Nitrogen, and Phosphorus of Plant Above-Ground Parts in Alpine Grasslands of Xizang, China by Mingxue Xiang, Gang Fu, Jianghao Cheng, Tao Ma, Yunqiao Ma, Kai Zheng, Zhaoqi Wang

“…In the current study, we modeled biogeochemical parameters (C/N/P contents, stoichiometry, and pools) in plant aboveground parts by using the growing mean temperature, total precipitation, total radiation, and maximum normalized difference vegetation index (NDVImax) across nine models (i.e., random forest model, generalized boosting regression model, multiple linear regression model, artificial neural network model, generalized linear regression model, conditional inference tree model, extreme gradient boosting model, support vector machine model, and recursive regression tree) in Xizang grasslands. …”
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Establishment and validation of predictive model of ARDS in critically ill patients by Senhao Wei, Hua Zhang, Hao Li, Chao Li, Ziyuan Shen, Yiyuan Yin, Zhukai Cong, Zhaojin Zeng, Qinggang Ge, Dongfeng Li, Xi Zhu

“…This study aimed to observe the incidence of ARDS among high-risk patients and develop and validate an ARDS prediction model using machine learning (ML) techniques based on clinical parameters. …”
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Life cycle assessment and multicriteria decision making analysis of additive manufacturing processes towards optimal performance and sustainability by Jayant M. Raut, Prashant B. Pande, Kamlesh V. Madurwar, Rajesh M. Bhagat, Satyajit S. Uparkar, Nilesh Shelke, Haytham F. Isleem, Arpita, Vikrant S. Vairagade

“…In this way, this integrative novel approach of machine learning with bioinspired optimization contributes to the sustainability of AM. …”
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Comparison of Oral Pregabalin and Clonidine Premedication in Attenuating Pressor Response to Laryngoscopy and Intubation: A Prospective Interventional Study by Jyotsna Mulamoottil Jose, Basheer Padinjare Madathil Abdul, Minu Subramonian, Anto Abey Illickal

“…Statistical analysis was performed using International Business Machine (IBM) Statistical Packages of Social Sciences (SPSS) software, with data expressed as mean±Standard Deviation (SD). …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…Experimental results reveal that language models, particularly XLNet, outperform traditional approaches that combine term frequency–inverse document frequency features with support vector machine or utilize deep models like HAN. The evaluation metrics—including accuracy, precision, recall, F1-score, and area under the curve (AUC)—indicated a clear performance advantage for models that had a larger number of parameters. …”
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Progress on additive manufacturing technology of solid propellants by Christian Ingabire, Dao-lun Liang, Li-xiang Li

“…For each AM method, we also discuss in detail its printing parameters and compatible propellant formulations as well as existing challenges and possible optimization strategies. …”
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Identifikasi Emosi Manusia Berdasarkan Ucapan Menggunakan Metode Ekstraksi Ciri LPC dan Metode Euclidean Distance by Siti Helmiyah, Imam Riadi, Rusydi Umar, Abdullah Hanif, Anton Yudhana, Abdul Fadlil

“…Hasil akurasi pada penelitian ini masih sangat kecil dan dapat ditingkatkan dengan menggunakan ekstraksi ciri yang lain seperti prosidis, spektral, dan kualitas suara, penggunaan parameter max, min, mean, median, kurtosis dan skewenes. …”
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The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer by Qiujun He, Xiangxing Kong, Xiangxi Meng, Xiuling Shen, Nan Li

“…Based on the selected features, the optimal model was chosen from ten machine learning algorithms, and the nomogram was constructed. …”
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Development of a predictive model for patients with bone metastases referred to palliative radiotherapy: Secondary analysis of a multicenter study (the PRAIS trial) by Romina Rossi, Federica Medici, Ragnhild Habberstad, Pal Klepstad, Savino Cilla, Monia Dall'Agata, Stein Kaasa, Augusto Tommaso Caraceni, Alessio Giuseppe Morganti, Marco Maltoni

“…Results Our analysis demonstrated a significant impact of clinical parameters (primary tumor site, presence of non‐bone metastases, steroids and opioid intake, food intake, and body mass index) and laboratory parameters (interleukin 8 [IL‐8], chloride levels, C‐reactive protein, white blood cell count, and lymphocyte count) on OS. …”
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Optimal conditions for efficient ion acceleration and neutron production in deuterium gas-puff z-pinches by D. Klir, S.L. Jackson, J. Cikhardt, B. Cikhardtova, P. Kubes, J. Malir, V. Munzar, J. Novotny, K. Rezac

“…These parameters include the optimal mass, preionization, short deuterium gas-injection time, and zippering towards a cathode. …”
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