Real-Time Optimization of RISC-V Processors Based on Branch Prediction and Division Data Dependency by Zhiwei Jin, Hesong Di, Tingpeng Hu, Peng Wang

“…When running the CoreMark benchmark program and the division test program, the test results improved, indicating an enhanced “real-time” performance of the hardware. …”
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Adaptation and Use of a Five-Task Model for Evaluability Assessment by Brad R. Watts, Heather M. Washington

“…This case provides an example of one model and how it was utilized to conduct an evaluability assessment of an ongoing program intervention. Purpose: This article provides a real-world example of how an evaluability assessment was conducted using a five-task model from the criminal justice field. …”
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Real world evidence of dupilumab effectiveness in a Colombian cohort of patients diagnosed with severe asthma by Abraham Alí-Munive, Josefina Zakzuk, Josefina Zakzuk, Nelson J. Alvis-Zakzuk, Nelson J. Alvis-Zakzuk, Elizabeth García, Elizabeth García, Claudia Diaz Bossa, Diana Jimena Cano Rosales, Diana Jimena Cano Rosales, Fabio Bolívar, Alejandro Carreño, Paula Rodríguez-Ordoñez, Natalia Gómez-Ardila, Gabriel Patiño, Sergio Londoño, Carlos A. Torres-Duque

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Preterm preeclampsia screening and prevention: a comprehensive approach to implementation in a real-world setting by Stefania Ronzoni, Shamim Rashid, Aimee Santoro, Elad Mei-Dan, Jon Barrett, Nanette Okun, Tianhua Huang

“…This study assesses the feasibility of implementing preterm preeclampsia screening and prevention by leveraging information from our current aneuploidy screening program in a real-world setting with geographic separation clinical site and laboratory analysis site. …”
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Design Development Research Approach in Developing Gel Electrophoresis Virtual Laboratory to substitute Real Practicum by Yuyun Maryuningsih, Budi Manfaat, Riandi Riandi, Nuryani Rustaman

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Solution of a Bi-Level Linear Programming Problem with Uncertain Parameters and its Application by Ajay Kumar Bhurjee, Pankaj Kumar, Pavan Kumar

“…Utilizing these conditions, the interval bi-level programming problem has been transformed into a deterministic nonlinear programming problem. …”
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Real-world analysis of community colorectal neoplasia screening based on stool DNA methylation detection by Ming-sheng Fu, Shu-xian Pan, Xun-quan Cai, Ya-wen Cao, Li-yuan Jin, Qin-cong Pan

“…This study aimed to assess the effectiveness of stool DNA methylation detection (sDNAMD) in improving colorectal neoplasia (CN) detection rates and colonoscopy compliance in a real-world community setting. Between July 1, 2023, and June 30, 2024, residents aged 50–75 from Maqiao Town, Minhang District, Shanghai, were invited to participate in a CN screening program. …”
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INNOVATIVE APPROACH IN CURRICULUM DEVELOPMENT; IMPROVING EDUCATION AND TRAINING PROGRAMS THROUGH MULTIDIMENSIONAL STRATEGIES by Dinda Febrianti Putri, Abdullah Abdullah

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Tips for Surviving and Excelling in a Master and Doctoral Program Under the 40s With Honorable Recognitions by Ms. Monica Jaramillo

“…In addition to the recent peer-reviewed literature concerning the many challenges advanced practice students experience while completing their academic degree this manuscript also contains real stories. These stories arise from a nursing student who survived and excelled in the educational journey and now seeks to inspire other students of all programs to believe in themselves. …”
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High expression of XIAP and Bcl-2 may inhibit programmed cell death in glioblastomas by Daniela Pretti da Cunha Tirapelli, Isis Lacrose Lustosa, Sarah Bomfim Menezes, Indira Maynart Franco, Andressa Romualdo Rodrigues, Fernanda Maris Peria, Alexandre Magno da Nóbrega Marinho, Luciano Neder Serafini, Carlos Gilberto Carlotti Jr, Luís Fernando Tirapelli

“…These results raise the question of whether Bcl-2 and XIAP genes can be responsible for the inhibition of programmed cell death in glioblastomas. Moreover, they provide additional information capable of allowing the development of new target therapy strategies.…”
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Feasibility exploration analysis of AR virtual verification method of civil aircraft maintenance program by SUN Hongli, WANG Hongchao, ZHANG Yajie, QIAO Wanxin, ZHAO Xincan

“…This paper gives the workflow of maintenance program AR virtual verification based on the technical requirements of aircraft maintenance manual verification，and explores the feasibility of this method from the perspective of building consistency with real configuration aircraft and maintenance operation consistency. …”
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Characterization of Autonomous Work in a Chilean English Pedagogy Program: Teachers’ and Freshmen’s Perspectives by Roxanna Correa-Pérez, María Gabriela Sanhueza-Jara

“…The study considers data generated through the application of a questionnaire and an in-depth interview to 48 freshmen from an English Pedagogy Program, as well as a questionnaire and a focus group applied to eight English teachers from the same program. …”
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C3: Leveraging the Native Messaging Application Programming Interface for Covert Command and Control by Efstratios Chatzoglou, Georgios Kambourakis

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Implementation of the regional program of cervical cancer screening by liquid-based cytology in the Rostov region by Т. A. Dimitriadi, D. V. Burtsev, E. A. Dzhenkova

“…To evaluate  the effectiveness  of the regional  cervical cancer screening  program by (LB) liquid‑based cytology.Materials and methods. …”
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Machine learning techniques and multi-objective programming to select the best suppliers and determine the orders by Asma ul Husna, Saman Hassanzadeh Amin, Ahmad Ghasempoor

“…Then, a new multi-objective programming model is designed, considering multiple periods and products. …”
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An In-Depth Analysis of the Students' Perceptions of How the Final Exam Administered in Package C Program by Evy Ratna Kartika Waty, Yanti Karmila Nengsih, Ciptro Handrianto, Shahid Rasool

“…The main goal is to investigate how Package C Program students view the distribution and quality of final exam questions and evaluate their preparedness and performance. …”
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Prostate Cancer Detection by Novice Micro-Ultrasound Users Enrolled in a Training Program by Hannes Cash, Sebastian Hofbauer, Neal Shore, Christian P. Pavlovich, Stephan Bulang, Martin Schostak, Erik Planken, Joris J. Jaspars, Ferdinand Luger, Laurence Klotz, Georg Salomon

“…MethodsA training program registry was assessed for the rate of clinically significant prostate cancer (csPCa, grade group ≥ 2), negative predictive value, and specificity at each stage of the program. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Advancing positive youth development: integrating the 12CS framework into volleyball training programs by Ever Sovensi, Nurlan Kusmaedi, Amung Ma'mun, Mulyana Mulyana

“…Purpose: The study aimed to evaluate the effectiveness of integrating the 12Cs model into volleyball training programs, particularly in improving PYD outcomes through the transfer of life skills to real-world applications. …”
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Perspective of Islamic Religious Education Study Program Students on the Islamic Education Curriculum in Indonesia by Muhammad Alfian, Indah Herningrum, Pristian Hadi Putra

“… This study investigates the perceptions of final-year students in the Islamic Religious Education (PAI) Study Program at IAIN Kerinci regarding the evolution, structure, and implementation of the Islamic education curriculum in Indonesia. …”
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