Combating electricity fraud: Employing hybrid learning and computer vision for sustainable energy management by Jui-Sheng Chou, Nader Anwar Charaf, Dani Nugraha Limantono, Hoang-Minh Nguyen

“…The research employs data processing methods, including the Synthetic Minority Over-sampling Technique (SMOTE), to address data imbalance, as well as zero imputation and regression techniques to manage missing data. …”
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Knowledge and Readiness Towards Genomic Nursing among Nursing Students at a Select Nursing College in Mangalore by Ann Mariya T, An Mariya S, Anjali R, Anitta ES, Anjana J, Anit TT, Roslin S, Bibi Augustin

“…The aim of the present research was to assess the knowledge and readiness in genomic nursing practice.Methods Using a convenient sampling 148 third- and fourth-year BSc nursing students were recruited for this cross-sectional descriptive design study. …”
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Statistical approaches for modeling correlated grade and tonnage distributions and applications for mineral resource assessments by Joshua M. Rosera, Graham W. Lederer, John H. Schuenemeyer

“…We present simulations for contained ore and metal for three case studies representing tungsten skarn, komatiite-hosted nickel, and sediment-hosted carbonate amagmatic zinc-lead (Mississippi Valley-type) deposits. Employing the methods presented here yields quantitative mineral resource assessment results that more closely reflect the empirical distributions of grades and tonnages observed in nature and expands the applicability of these tools for ongoing critical mineral resource assessments.…”
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Caregiver’s experiences with a mobile-based educational program and its impact on dietary treatment compliance of children with methylmalonic acidemia: an online survey by Qing Luo, Chunqin Liu, Lizhou Lin, Xuehua Liu, Huifang Chen

“…This study aimed to assess dietary treatment compliance in children with MMA and evaluate the impact of WeChat-based parent education on compliance. Methods A sample of 151 caregiver-child dyads was obtained through online recruitment using convenience sampling from February to March 2023. …”
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“It’s beyond enough”: teachers’ experiences and perspectives of rehabilitation inclusion for working with deaf and hard of hearing children in rural areas of China by Zhizhuo Wang, Wangwei Lin, Hong Qiu, Zebo Lan

“…Conclusion The findings suggested that more attention should be focused on public special education school in underdeveloped rural areas of China. …”
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Knowledge, Confidence & Experience of Dental Professionals in Treating Patients with Autism Spectrum Disorder by Aiman Niaz, Brekhna Spogmay, Zeenat Hadi, Ruqayya Sana, Huzaifa Rafi, Rida Bahar

“… Objective: To assess the knowledge, self-perceived confidence, and experiences of dental professionals in managing patients with autism spectrum disorder (ASD). Methods: A mixed-methods study was conducted among 384 dental professionals at Sardar Begum Dental College, Peshawar. …”
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Evaluating Community Development Projects Using the OECD Evaluation Criteria by Enoch Assan Ninson

“…The community members were sampled randomly while purposive sampling was used for local government, NGO staff and community leaders. …”
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VOC emissions from commercial wood panels using PTR-MS for indoor air quality evaluation by Shahla Ghaffari Jabbari, Jose Fermoso Domínguez, Sandra Rodríguez Sufuentes, Svein Olav Nyberg, Tore Sandnes Vehus, Henrik Kofoed Nielsen

“…This study aims to investigate the VOC emission pattern, intensity, and profile of nine commercially untreated and treated wood panels commonly used in indoor environments, focusing on how wood type and surface treatments influence emission characteristics.MethodsThe study utilizes Proton Transfer Reaction Time-of-Flight Mass Spectrometry combined with passive sampling, offering a more comprehensive analysis of volatile organic compounds, including both volatile and very volatile compounds, which traditional gas chromatography cannot capture. …”
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Analyzing the Association of Social Capital and Sleep Quality of the Elderly Community by Maryam Mohammadi, Sahar Mohammadnabizadeh, Mehdi Varmaghani, Mitra Moodi, Farshad Shrifi, Matin Shirazinia, Hossein Fakhrzadeh, Moloud Payab, Masoumeh Khorashadizadeh, Shohreh Naderimagham

“…Sampling was carried out by selecting eligible participants based on a simple random entry criterion. …”
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Methodological establishment and diagnostic value of a multiplex fluorescent PCR assay for the detection of three fastidious respiratory pathogens. by Jingchao Shi, Yijun Zhu, Shuyun Chen, Xiaoyun Shan, Lihong Bo, Kai Shen, Keqiang Chen

“…The multiplex fluorescent PCR method demonstrated high sensitivity and specificity, detecting more cases of mixed infections.…”
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Adversarial example defense algorithm for MNIST based on image reconstruction by Zhongyuan QIN, Zhaoxiang HE, Tao LI, Liquan CHEN

“…With the popularization of deep learning, more and more attention has been paid to its security issues.The adversarial sample is to add a small disturbance to the original image, which can cause the deep learning model to misclassify the image, which seriously affects the performance of deep learning technology.To address this challenge, the attack form and harm of the existing adversarial samples were analyzed.An adversarial examples defense method based on image reconstruction was proposed to effectively detect adversarial examples.The defense method used MNIST as the test data set.The core idea was image reconstruction, including central variance minimization and image quilting optimization.The central variance minimization was only processed for the central area of the image.The image quilting optimization incorporated the overlapping area into the patch block selection.Considered and took half the size of the patch as the overlap area.Using FGSM, BIM, DeepFool and C＆amp;W attack methods to generate adversarial samples to test the defense performance of the two methods, and compare with the existing three image reconstruction defense methods (cropping and scaling, bit depth compression and JPEG compression).The experimental results show that the central variance minimization and image quilting optimization algorithms proposed have a satisfied defense effect against the attacks of existing common adversarial samples.Image quilting optimization achieves over 75% classification accuracy for samples generated by the four attack algorithms, and the defense effect of minimizing central variance is around 70%.The three image reconstruction algorithms used for comparison have unstable defense effects on different attack algorithms, and the overall classification accuracy rate is less than 60%.The central variance minimization and image quilting optimization proposed achieve the purpose of effectively defending against adversarial samples.The experiments illustrate the defense effect of the proposed defense algorithm in different adversarial sample attack algorithms.The comparison between the reconstruction algorithm and the algorithm shows that the proposed scheme has good defense performance.…”
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Comparisons between Resampling Techniques in Linear Regression: A Simulation Study by Anwar Fitrianto, Punitha Linganathan

“…Is was found that residual bootstrap works well in estimating the parameter in the small sample. At the same time, it is suggested to use Jackknife when the sample size is big because Jackknife is more accessible to apply than residual bootstrap and Jackknife works well when the sample size is big.…”
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Understanding Green Product Purchase Intentions Using the Theory of Planned Behavior: Case study of Algerian Consumers’ by Sidi Mohammed Benachenhou, Imene Dali Youcef, Salah Hamouti

“…Through this study, we build a theoretical framework that combines the ideas and perspectives of previous studies on sustainable consumption.Methods: In order to validate our research hypotheses, questionnaires were used to collect primary data from a sample of 219 participants in Algeria. …”
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Integrating human biomonitoring exposure data into a primary care morbidity database: a feasibility study by Pieter Jansen, Elly Den Hond, Katleen De Brouwere, Endale Alemayehu Ali, Hamid Yimam Hassen, Ilona Gabaret, Gijs Van Pottelbergh

“…However, with PFAS data from more than 10,000 residents available soon, more robust studies will be possible with this new method. …”
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Approximate Maximum Likelihood Estimations for the Parameters of the Generalized Gudermannian Distribution and Its Characterizations by Mahdi Rasekhi, Mohammad Mehdi Saber, G. G Hamedani, M. M.Abd El-Raouf, Ramy Aldallal, Ahmed M. Gemeay

“…From the coverage probability, the MLEs do not work well especially for the small sample sizes; thus, to improve the coverage probability, simulated percentiles based on the Monte Carlo method are used. …”
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Random Ensemble MARS: Model Selection in Multivariate Adaptive Regression Splines Using Random Forest Approach by Mehmet Ali Cengiz, Dilek Sabancı

“…The MARS model, which works better in the larger data set, provides more reliable results with smaller data sets utilising the proposed method.…”
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Standardization of epistemic trust/mistrust/credulity questionnaire: Examining validity and reliability among adolescents Standardization of ETMCQ among adolescents by Raziyeh Hashemi, Mehdi Reza Sarafraz, Habib Hadian Fard, Mohammad Reza Taghavi

“…Participants were selected through snowball sampling method. The questionnaire link was sent to 310 students via mobile phone. …”
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Patients’ perceptions on non‐specific effects of acupuncture: Qualitative comparison between responders and non‐responders by Robin S.T. Ho, Fai Fai Ho, Jon Adams, Holger Cramer, Brenda Leung, Lesley Ward, Yan Zhang, Vincent C.H. Chung

“…We aimed to compare their experiences in a nested qualitative study embedded in an acupuncture randomized trial on functional dyspepsia. Methods: Purposive sampling was used to capture experience of responders (n=15) and non-responders (n=15) to acupuncture via individual in-depth interviews. …”
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Unfavorable variants of folate metabolism genes in patients with acute coronary syndrome in non-obstructive coronary atherosclerosis by V. V. Ryabov, S. B. Gomboeva, Yu. D. Lugacheva, I. B. Kulagina, R. P. Karpov

“…The sampling included patients older than 18 years with ACS and NOCA, confirmed by invasive coronary angiography (ICAG). …”
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Ultrasound Imaging of Nonlinear Media Response Using a Pressure-Dependent Nonlinearity Index by Andrzej NOWICKI, Jurij TASINKIEWICZ, Piotr KARWAT, Ihor TROTS, Norbert ŻOŁEK, Ryszard TYMKIEWICZ

“…The NLI in bovine liver sample below the area with injected oil (mimicking “steatosis”) was more than 35 % higher than in regions without oil. …”
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