One-step diagnosis of infection and lung cancer using metagenomic sequencing by Shaoqiang Li, Yangqing Zhan, Yan Wang, Weilong Li, Xidong Wang, Haoru Wang, Wenjun Sun, Xuefang Cao, Zhengtu Li, Feng Ye

“…Results Compared to conventional infection testing methods, Onco-mNGS demonstrates superior infection detection performance, boasting a sensitivity of 81.82%, specificity of 72.55%, and an overall accuracy of 77.58%. …”
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A Review on Blockchain Applications in Operational Technology for Food and Agriculture Critical Infrastructure by Chengliang Zheng, Xiangzhen Peng, Ziyue Wang, Tianyu Ma, Jiajia Lu, Leiyang Chen, Liang Dong, Long Wang, Xiaohui Cui, Zhidong Shen

“…The year 2018 marked a surge in research within this domain, with the IEEE Internet of Things Journal and IEEE ACESS emerging as the most prolific journals, each boasting nine publications. The United States, China, and India are at the forefront in terms of journal citation counts. …”
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Impact of Ecobiol plus ® feed additive on growth performance, physiological response, oxidative status and immunological status of Nile tilapia (Oreochromis niloticus) fingerlings... by Amira A. Omar, Doaa H. Assar, Mustafa Shukry, Aya Abo El-Ezz, Foad A. Farrag, Wesam E. Abd El-Aziz, Eman M. Moustafa

“…Additionally, lysozyme activity and phagocytic response were markedly enhanced, demonstrating the probiotic’s immune-boosting potential. Histopathological evaluations revealed reduced gut, gills, and hepatopancreas lesions, especially in groups with higher supplementation levels. …”
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Machine Learning-Based Alzheimer’s Disease Stage Diagnosis Utilizing Blood Gene Expression and Clinical Data: A Comparative Investigation by Manash Sarma, Subarna Chatterjee

“…DL, support vector machine (SVM), gradient boosting (GB), and random forest (RF) classifiers were used for the AD stage detection from gene expression profile data. …”
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Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

“…We assessed seven supervised ML algorithms, including Logistic Regression, Ridge Classifier, Random Forest Classifier, K-Neighbours, Gradient Boosting Classifier, LinearSVC, Recurrent Neural Networks and XGBoost, using four case studies, from bivalve dredge and octopus pots and traps fisheries.First, in a preliminary statistical analysis between common error measures derived from the confusion matrix was decided to use accuracy, precision, and sensitivity as evaluation criteria. …”
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Easy Data Augmentation untuk Data yang Imbalance pada Konsultasi Kesehatan Daring by Anisa Nur Azizah, Misbachul Falach Asy'ari, Ifnu Wisma Dwi Prastya, Diana Purwitasari

“…Then, the experiments investigate our augmentation process using classifiers of Random Forest, Naïve Bayes, and boosting-based methods like XGBoost and ADABoost, which resulted in an average accuracy increase of 0.63. …”
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Predicting egg production rate and egg weight of broiler breeders based on machine learning and Shapley additive explanations by Hengyi Ji, Yidan Xu, Ganghui Teng

“…Accurately predicting egg production rate and egg weight provides a scientific basis for farm operations, aiding in optimizing resource allocation, improving production efficiency, enhancing animal welfare, and ultimately boosting the farm's profitability.…”
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Microstructures and Mechanical Properties of Al Matrix Composites Reinforced with TiO₂ and Graphitic Carbon Nitride by Chen Wang, Xianyong Zhu, Ke Zhang, Jiaan Liu, Xiong Xiao, Cheng Jiang, Jinyuan Zhang, Changchun Lv, Zhaoxue Sun

“…Because the exfoliation of g-C₃N₄ under the effect of processing reduces the agglomeration of TiO₂, boosts the flattening of Al, and enhances interface integration with the base metal. …”
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Exogenous diethyl aminoethyl hexanoate alleviates the damage caused by low-temperature stress in Phaseolus vulgaris L. seedlings through photosynthetic and antioxidant systems by Yu Bai, Qiya Dai, Yanheng He, Li Yan, Jianpo Niu, Xuan Wang, Yongdong Xie, Xuena Yu, Wen Tang, Huanxiu Li, Zhi Huang, Bo Sun, Guochao Sun, Xun Wang, Yi Tang

“…It also improved the photosynthetic efficiency by boosting electron transport in the reaction center. …”
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Symptoms of anxiety and depression among health and social science students: A multicenter study by Lara Guedes Pinho, Maria Engström, Brooke C. Schneider, Cesar Fonseca, Magnus Lindberg, Johanna Schröder, Anabela Afonso, Lena Jelinek, Johanna Börsting, Gonçalo Jacinto, Annika Nilsson

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Provide a Framework for the Application of Open Policy Making in Parliament of Iran by Mohsen Eynali, Seyed Abbas Ebrahimi, Mohsen Farhadinejad, Hasan Danaeefard

“…They include achieving more optimal policy adoption through collaborative efforts, garnering robust stakeholder support for the implementation of desired policies, enhancing access to critical data for both elites and the general public, significantly increasing public participation in the policy-making process, and substantially boosting public trust in governing institutions, such as the Shura Council. …”
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Evaluation and Influencing Factors of Urban Blue-Green Space Publicness in Changsha by Zhang Chen, Zhang Nan, Zhu Peijuan, Qin Shuqian, Zhang Yong

“…In terms of structural connectivity and shareability, interactive connectivity shows a high core area, a low peri-urban area, and a wedge-shaped interlocking circle pattern in the transition zone between the core area and the peri-urban area, accompanied by a high belt characteristic along the scenic belt; the landscape connectivity shows a low core area, a high peri-urban area, and a pattern characteristic of the west bank of the Xiangjiang River that is higher than that of the east bank. 3) Social demand, economic boosts, and environmental support promote the spatial heterogeneity of the UBGS publicness. …”
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The Effects of Presenting AI Uncertainty Information on Pharmacists’ Trust in Automated Pill Recognition Technology: Exploratory Mixed Subjects Study by Jin Yong Kim, Vincent D Marshall, Brigid Rowell, Qiyuan Chen, Yifan Zheng, John D Lee, Raed Al Kontar, Corey Lester, Xi Jessie Yang

“…Moreover, providing uncertainty information about the AI’s recommendation significantly boosts pharmacists’ trust in AI aid, highlighting the importance of developing transparent AI systems within health care.…”
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Physicochemical characterization of biodegradable polymer polyhydroxybutyrate from halophilic bacterium local strain Halomonas elongata by W.O.S. Rizki, E. Ratnaningsih, D.G.T. Andini, S. Komariah, A.T. Simbara, R. Hertadi

“…This finding also demonstrates that the isolated polyhydroxybutyrate has good thermal stability given that fibers linked each polyhydroxybutyrate molecule, which boosted the structure of polyhydroxybutyrate.CONCLUSION: This study successfully synthesized polyhydroxybutyrate using a local strain of Halomonas elongata, with glucose as a carbon source. …”
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Mortality Prediction Using SaO2/FiO2 Ratio Based on eICU Database Analysis by Sharad Patel, Gurkeerat Singh, Samson Zarbiv, Kia Ghiassi, Jean-Sebastien Rachoin

“…Categorical values were encoded using Target Encoding. We used a gradient boosting decision tree algorithm variant called XGBoost as our model. …”
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Artificial intelligence-based prediction of second stage duration in labor: a multicenter retrospective cohort analysisResearch in context by Xiaoqing Huang, Xiaodan Di, Suiwen Lin, Minrong Yao, Suijin Zheng, Shuyi Liu, Wayan Lau, Zhixin Ye, Zilian Wang, Bin Liu

“…Eight risk features were selected through the RFE process. Gradient boosting machine implemented by decision tree models achieved the best performance, yielding areas under the curve for 1-h and 2-h models of 0.808 (95% confidence interval [CI] 0.797–0.819) and 0.824 (95% CI 0.804–0.843) in the testing set, and 0.862 (95% CI 0.854–0.870) and 0.859 (95% CI 0.843–0.875) in the external validation set, respectively. …”
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LLT1 overexpression renders allogeneic-NK resistance and facilitates the generation of enhanced universal CAR-T cells by Shuxian Zhu, Shiyu Zuo, Chuo Li, Xingjie You, Erlie Jiang, Xiaoming Feng, Yuechen Luo

“…In vitro, LLT1 overexpression boosted CAR-T cell proliferation and antitumor activity, leading to a transcriptional signature characterized by elevated stemness-related markers (SELL, BCL6, TCF7, and CD27) and increased levels of IL-10 and other cytokines. …”
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Efficacy of carbonyl cyanide-3-chlorophenylhydrazone in combination with antibiotics against Mycobacterium abscessus by Jifang Zheng, Qiang Liu, Haoran Wang, Fengmin Huo, Junnan Jia, Hairong Huang, Suting Chen

“…The simultaneous use of CCCP with traditional antibiotics shows a synergistic effect across a wide range, significantly boosting the ability to inhibit the growth of M. abscessus throughout its growth phases. …”
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Identification of WDR74 and TNFRSF12A as biomarkers for early osteoarthritis using machine learning and immunohistochemistry by Yiwei Chen, Yiwei Chen, Jiali Lin, Detong Shi, Yu Miao, Yu Miao, Feng Xue, Feng Xue, Kexin Liu, Kexin Liu, Xiaotao Wang, Changqing Zhang, Changqing Zhang

“…We employed XGBoost, a gradient-boosting ML algorithm, to identify core URGs and construct a diagnostic model. …”
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KATEDRALA UZNESENJA BLAŽENE DJEVICE MARIJE U SENJU I SENJSKI BISKUPI DO POČETKA XVII. STOLJEĆA by JURAJ LOKMER

“…Posebno se naglašava loša duhovna i pastoralna situacija u cijeloj Senjskoj koju su kao i Modrušku biskupiji najvećim dijelom zauzeli Turci, jer je to trajno bojište s malo stanovništva u malobrojnim utvrđenim naseljima i gradovima. …”
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