Systematic Reviews Comparing Direct and Indirect Restorations: An Umbrella Review That Examines Restoration Type and Confidence in Results by Mona Kimmel, Clovis Mariano Faggion Jr.

“…Direct restoration was more cost and production‐efficient, but indirect restoration offered better long‐term results for larger defects. …”
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Development of a Web-Based Information System for Reporting Activities of DKI Jakarta DPRD Members by Hikmah Gusdin Putra Jaya, Verdi Yasin, Agus Sulistyanto, Anton Zulkarnain Sianipar, Ifan Junaedi, Rumadi Hartawan, Ito Riris Immasari

“…This activity is very important, increases efficiency, and determines its performance in terms of cost savings. …”
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Data-driven protease engineering by DNA-recording and epistasis-aware machine learning by Lukas Huber, Tim Kucera, Simon Höllerer, Karsten Borgwardt, Sven Panke, Markus Jeschek

“…The resulting sequence-activity data on approximately 600,000 protease-substrate pairs does not only reveal key sequence determinants governing protease specificity, but allows to build a data-efficient deep learning model that accurately predicts protease sequences with desired on- and off-target activities. …”
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Care guide for patients with class II malocclusion with actively growing permanent dentition by Félix Adjei Tannor, Olga Lidia Véliz Concepción, Waldo Pérez Garcia, Armando San Miguel Pentòn

“…<br /><strong>Results:</strong> The reviewed documentation provided valuable information to determine the current state of care for malocclusion under study. …”
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Impact of Green Initiatives on the Financial Performance of Small and Medium Enterprises: The Case of Manufacturing Firm in Central Luzon by Mª Teresa B. Alfaro, Rowell Agliones Diaz

“…The descriptive survey method used to gather data to determine the green initiative's implementation of small and medium (S.M.E.s) manufacturing enterprises. …”
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Barriers to Respect Professional Ethics Standards: Insights from Iranian Nurses by Fatemehalsadat Hosseini Baghdadabad, MohammadKazem Rahimi, Roohollah Askari, Hasan Jafari, Hossein Fallahzadeh

“…Materials and Methods: This study was quantitative cross-sectional. …”
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Validation of the Thai short form of the Attitudes to Ageing Questionnaire. by Nattapat Khongsirisombat, Nareudee Limpuangthip, Pagaporn Pantuwadee Pisarnturakit

“…<h4>Methods</h4>A total of 224 Thai community-dwelling older people aged 60 years or older were included. …”
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Breath Detection from a Microphone Using Machine Learning by Tomasz Sankowski, Piotr Sulewski, Jan Walczak, Aleksandra Bruska

“…The primary objective is to develop and compare methodologies to identify distinct phases of breathing, namely inhalation, exhalation, and the silent intervals between breaths, in order to determine the most accurate, efficient, and practical approach. …”
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Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks by Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz

“…The experimental outcomes against the most recent procedures demonstrate the capacity of the recommended FS and classification methods to determine attacks in the IDS. Analysis of the results presents that the recommended approach performs more effectively than the other recent techniques with optimized features (i.e., 23 out of 43 features), high accuracy of 99.93% and improved convergence.…”
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Analyzing the Prevalence of and Factors Associated with Road Traffic Crashes (RTCs) among Motorcyclists in Bangladesh by Md. Mamun Miah, Biton Chakma, Kabir Hossain

“…The chi-square test was applied in bivariate analysis, and binary multivariable logistic regression was performed to determine the risk factors of road traffic crashes. …”
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Advanced microfluidic strategies for core-shell nanoparticles: the next-generation of polymeric and lipid-based drug nanocarriers by Giuseppe Nunziata, Alessandro Borroni, Filippo Rossi

“…This review critically evaluates recent advancements, highlighting the superiority of microfluidic methods over conventional batch techniques, which often suffer from variability and scalability issues. …”
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Metagenomic source tracking after microbiota transplant therapy by Susan L. Hoops, Daphne Moutsoglou, Byron P. Vaughn, Alexander Khoruts, Dan Knights

“…The pipeline uses Bayesian statistics to determine the likely sources of ambiguous reads that align with both the donor and pre-treatment samples. …”
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Incident duration prediction through integration of uncertainty and risk factor evaluation: A San Francisco incidents case study. by Amirreza Salehi, Ardavan Babaei, Majid Khedmati

“…Precise predictions enable the efficient deployment of response teams and strategic traffic rerouting, leading to reduced congestion and enhanced safety. …”
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Brief Coping Scale TCS-9: Optimising the Assessment of Coping Strategies. The case of Health Care Workers. by Basant K. Puri, Anastasia Miari, Maria Theodoratou

“… # Contribution By enabling quicker and more efficient evaluations, the TCS-9 enhances the practicality of assessing coping mechanisms in healthcare settings, thereby contributing to the sustenance of health systems and the promotion of health equity.…”
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Predicting diabetes using supervised machine learning algorithms on E-health records by Sulaiman Afolabi, Nurudeen Ajadi, Afeez Jimoh, Ibrahim Adenekan

“…Methods: This study investigates the early detection and management of diabetes by applying machine learning techniques to electronic health records. …”
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GRU-based multi-scenario gait authentication for smartphones by Qi JIANG, Ru FENG, Ruijie ZHANG, Jinhua WANG, Ting CHEN, Fushan WEI

“…At present, most of the gait-based smartphone authentication researches focus on a single controlled scenario without considering the impact of multi-scenario changes on the authentication accuracy.The movement direction of the smartphone and the user changes in different scenarios, and the user’s gait data collected by the orientation-sensitive sensor will be biased accordingly.Therefore, it has become an urgent problem to provide a multi-scenario high-accuracy gait authentication method for smartphones.In addition, the selection of the model training algorithm determines the accuracy and efficiency of gait authentication.The current popular authentication model based on long short-term memory (LSTM) network can achieve high authentication accuracy, but it has many training parameters, large memory footprint, and the training efficiency needs to be improved.In order to solve the above problems a multi-scenario gait authentication scheme for smartphones based on Gate Recurrent Unit (GRU) was proposed.The gait signals were preliminarily denoised by wavelet transform, and the looped gait signals were segmented by an adaptive gait cycle segmentation algorithm.In order to meet the authentication requirements of multi-scenario, the coordinate system transformation method was used to perform direction-independent processing on the gait signals, so as to eliminate the influence of the orientation of the smartphone and the movement of the user on the authentication result.Besides, in order to achieve high-accuracy authentication and efficient model training, GRUs with different architectures and various optimization methods were used to train the gait model.The proposed scheme was experimentally analyzed on publicly available datasets PSR and ZJU-GaitAcc.Compared with the related schemes, the proposed scheme improves the authentication accuracy.Compared with the LSTM-based gait authentication model, the training efficiency of the proposed model is improved by about 20%.…”
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D-BADGE: Decision-Based Adversarial Batch Attack With Directional Gradient Estimation by Geunhyeok Yu, Minwoo Jeon, Hyoseok Hwang

“…This simple yet efficient decision-based method functions similarly to a score-based attack, enabling the generation of UAPs in real-world scenarios, and can be easily extended to targeted attacks. …”
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Study on the Stiffness of Rail Support for Some Lines of Urban Railway in Vietnam by Tran Anh DUNG, Le Trung HIEU, Le Hai HA, Pham Van KY

“…These values are associated with bearing stiffness values of 23.1x106 N/mm, 30.8x106 N/mm, and 27.5x106 N/mm, respectively. Proper determination of rail support stiffness is crucial for efficient railway operations and maintenance. …”
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The Effect of the Use of Black and White Flashcards on Acute Pain Levels in Infants by Diler Yılmaz, Nejla Canbulat Şahiner, Zübeyde Ezgi Erçelik

“…Conclusion: We concluded that the use of black and white flashcards during the vaccination practices was efficient. In line with these results, we recommend that nurses use black and white flashcards, an easily applicable method, to decrease the pain sensitivity of infants during vaccine applications.…”
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Quality of phytopathometric variables generated from a ranking scale for the CABMV-passionfruit pathosystem by Antonio Carlos Mota Porto, Mariana de Lima Santos, Antonio Carlos Oliveira

“…Thus, our objective was to evaluate different methods of using the data collected using a scale based on quality of the generated variables, using statistical parameters. …”
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