Investigation of malaria vectors Anopheles in non-endemic areas of Thailand: in proximity to workplaces housing foreign migrant workers by Nurhadi Eko Firmansyah, Thaksaporn Thongseesuksai, Thidarut Boonmars, Porntip Laummaunwai

“…The collection was carried out from June 2020 to May 2021. The black light traps (BLT) operated continuously from 6:00 pm to 6:00 am (12 h) and Kelambu trap (KT) were set up from 6:00 pm to 9:00 pm, with both traps set up once a month. …”
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Development of a machine learning model related to explore the association between heavy metal exposure and alveolar bone loss among US adults utilizing SHAP: a study based on NHAN... by Jiayi Chen

“…Feature selection was performed using the Least Absolute Shrinkage and Selection Operator (LASSO) regression with 10-fold cross-validation. …”
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How Authoritative Media and Personal Social Media Influence Policy Compliance Through Trust in Government and Risk Perception: Quantitative Cross-Sectional Survey Study by Hua Zhang, Cheng Yang, Xiuxian Deng, Chunyan Luo

“…Media use, specifically the use of authoritative media and “we-media,” that is, personal social media accounts and media platforms operated by individuals, was set as the independent variable. …”
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Forestry features of regionalization of forest reproductive material by Oleg Danchuk, Vasyl Blystiv, Zinovii Yurkiv, Vitaly Vovchanskyi

“…An analysis of the application of regionalization for individual introduced species, primarily red oak, Douglas fir, and black locust, demonstrates the wide distribution of these species in our country and the need for appropriate forestry monitoring of their potential ability to form local populations in Ukraine and, accordingly, the possibility of regionalization of the area occupied by them. …”
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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

“…For egg weight predictions, the XGBoost model's MAE, RMSE and MAPE were less than 0.63g, 0.86g and 1.1%, respectively. Given the inherent black-box nature of ML models, we used the Shapley additive explanations (SHAP) method to interpret the key features influencing the XGBoost model's predictions and the interactions between these features. …”
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Comparative analysis of deep learning and radiomic signatures for overall survival prediction in recurrent high-grade glioma treated with immunotherapy by Qi Wan, Clifford Lindsay, Chenxi Zhang, Jisoo Kim, Xin Chen, Jing Li, Raymond Y. Huang, David A. Reardon, Geoffrey S. Young, Lei Qin

“…The potential time-saving must be weighed against the lower interpretability of end-to-end black box modeling.…”
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Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It by Yasir Hafeez, Khuhed Memon, Maged S. AL-Quraishi, Norashikin Yahya, Sami Elferik, Syed Saad Azhar Ali

“…Nevertheless, with the advent of explainable artificial intelligence (XAI), the old-school black boxes of deep learning (DL) systems have been unraveled. …”
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Dva příběhy z kriminálního podsvětí – padělatelé peněz na hradě Žampachu a přepadání Židů v roce 1542 by František Šebek

“…In the workshop they minted Görlitz black money, Viennese money (1⁄2 kreutzer) and the Austrian groschen (3 kreutzers). …”
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Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery by Tyler J. Loftus, MD, Matthew M. Ruppert, MS, Benjamin Shickel, PhD, Tezcan Ozrazgat-Baslanti, PhD, Jeremy A. Balch, MD, Kenneth L. Abbott, MD, Die Hu, MS, Adnan Javed, MD, Firas Madbak, MD, Faheem Guirgis, MD, David Skarupa, MD, Philip A. Efron, MD, Patrick J. Tighe, MD, William R. Hogan, MD, Parisa Rashidi, PhD, Gilbert R. Upchurch, Jr, MD, Azra Bihorac, MD

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Sistem Monitoring Trafo Distribusi PT.PLN (Persero) berbasis IoT by Budi Eko Prasetyo, Widhy Hayuhardhika Nugraha Putra, Dahnial Syauqy, Adhitya Bhawiyuga, Sigi Syah Wibowo, Ferdian Ronilaya, Indrazno Siradjuddin, Supriatna Adhisuwignjo

“…In addition, the transformer operating temperature is also an important parameter that describes the condition of the transformer in safe state, warning state or danger state. …”
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Analytical and Comparative Analysis of Copper Industry Development Programs in Iran by Adel Rouhi Jouybari, Seyed Mohammad Esmaiel Jalali

“…One of the effective ways to supply the necessary concentrate for the project is to expand the existing mines that are currently active and under operation. 10% of the required concentrate for the copper industry in Iran is supplied by companies that operate small mines in the country. …”
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Investigating factors affecting the financial recovery of businesses admitted to the stock exchange by Fatemeh Sahraei, Jafar Jamali, Hamidreza Vakilifard, Ali Zare, Seyed Yaghoub Zeraatkish

“…When some organizations experience a financial crisis and face challenging and deteriorating operating margins, financial revival means a significant improvement in operational margins and financial health of the organization (Ghazavi, 2018). …”
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Designing a Model for Brand Engagement Value Creation through the Integration of Gamification Technology and Explainable Artificial Intelligence (XAI) by Zahra. Atf, fariz taherikia, kambiz heidarzadeh Hanzaei

“…When some organizations experience a financial crisis and face challenging and deteriorating operating margins, financial revival means a significant improvement in operational margins and financial health of the organization (Ghazavi, 2018). …”
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Addressing Shortcomings in Contingency Standards of Care by Alexander Quan

“…Staffing allocation is often viewed similarly to the allocation of space and medical equipment, such that contingency alterations to staffing operations may not seem like they significantly jeopardize patient care quality and outwardly appear functionally equivalent.[21] However, lower ratios of qualified nurses are associated with poor outcomes such as higher inpatient mortality[22] and lower survival rates of in-hospital cardiac arrest for Black patients.[23] These examples highlight the strong potential for contingency measures to amplify social health disparities, particularly when adopted over a prolonged time frame. …”
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Equitable artificial intelligence for glaucoma screening with fair identity normalization by Min Shi, Yan Luo, Yu Tian, Lucy Q. Shen, Nazlee Zebardast, Mohammad Eslami, Saber Kazeminasab, Michael V. Boland, David S. Friedman, Louis R. Pasquale, Mengyu Wang

“…The equity-scaled area under the receiver operating characteristic curve (ES-AUC) was adopted to quantify model performance equity. …”
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