The effects of the integrative strategy on fostering reflective thinking and imparting basic basketball offensive techniques to female students by Missaa Nadem, Nadeema Badr Mohammed, Huda Badwe Shbeeb, Iqbal Abdul Hussein Neamah, Najlaa Abbas AL-Zuhairi, Nihad Mohammed Alwan

“…Twenty students in-group (B) represent the experimental group, which follows the curriculum that the researcher has developed in an integrated, strategic manner. …”
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Development of a novel multi-epitope subunit mRNA vaccine candidate to combat Acinetobacter baumannii by Shiyang Ma, Fei Zhu, Peipei Zhang, Yizhong Xu, Ziyou Zhou, Hang Yang, Caixia Tan, Jie Chen, Pinhua Pan

“…As the causative agent of pneumonia, septicemia, and meningitis, A. baumannii typically exhibits multidrug resistance and is associated with poor prognosis, thus led to a challenge for researchers in developing new treatment and prevention methods. …”
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Influencing Holistic Health Policy by Erica Bell

“…Beliefs that health policy-making is an inherently ‘ideological’ or ‘irrational’ process appear to have worked to prevent researchers from developing better understandings of the kind of evidence that does work to influence policy. …”
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Gender-Specific Cytokine Pathways, Targets, and Biomarkers for the Switch from Health to Adenoma and Colorectal Cancer by Patrizia Pellegrini, Ida Contasta, Tiziana Del Beato, Fabiana Ciccone, Anna Maria Berghella

“…These gender pathways could well be used as targets and biomarkers in translational research into developing new clinical strategies.…”
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Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model by D. Cenitta, R. Vijaya Arjunan, Ganesh Paramasivam, N. Arul, Anisha Palkar, Krishnaraj Chadaga

“…So, there is a need to develop an optimal heart disease prediction model to avoid inaccurate ischemic heart disease diagnosis and further treatment. Recently, researchers have developed several deep learning techniques that take input from medical practitioners, automatically find hidden patterns in enormous volumes of data, and predict heart diseases without human intervention. …”
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Conservation Voltage Reduction in Distribution Networks: A Comprehensive Review by Ibrahim Alzubi, Saher Albatran, Issam A. Smadi, Salman Harasis

“…Existing techniques of CVR implementation, including voltage/VAR control (VVC) and voltage/VAR optimization (VVO), are detailed to clarify practical applications working in the field, allowing researchers to develop and improve. Afterward, a complete review of the CVR utilization in active distribution networks with the presence of distributed generation (DG) and integrating CVR in microgrid applications is carried out. …”
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Effect of Streblus asper Leaf Extract on Scopolamine-Induced Memory Deficits in Zebrafish: The Model of Alzheimer’s Disease by Kanathip Singsai, Natthanicha Ladpala, Natthan Dangja, Thanyaret Boonchuen, Niracha Jaikhamfu, Pirinyapat Fakthong

“…Our findings can be useful for further research to develop SA extract as a health product to ameliorate the symptoms of Alzheimer’s disease.…”
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Stress dynamics between clinical supervisors and allied health students: a scoping review protocol by Yongsheng Wang, XinRong Li, Piao Wang, Laurie Peebles, Aine O'Connor

“…Understanding the implications of stress between clinical supervisors and allied health students will allow for better insights to improve supervisory methods within clinical training, stronger mentorship and lead to better quality patient care.Methods and analysis This review is conducted according to Joanna Briggs Institute (JBI) methodology for scoping reviews, which includes defining the research question, developing inclusion criteria and searching for, selecting, extracting and analysing the evidence. …”
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Detection and Predictive Analysis of Drowsiness Using Non-contact Doppler Sensor by Chung Kyo In, Byung Chan Min

“…Various methods for detecting heartbeats based on Doppler sensors have been proposed due to their non-contact nature. Previous research involved developing Doppler radar sensors and verifying their reliability, with over 95 % accuracy compared to traditional ECG devices for heart rate measurement. …”
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‘Two in One’ Cloning Vector Applied for Blunt-End and T-A Cloning with One-Step Digestion–Ligation and Screening of Positive Recombinants by Unaided Eyes by Xingli Zhang, Chong Teng, Kaidi Lyu, Shanhua Lyu, Yinglun Fan

“…The <i>mScarlet-I</i> gene was introduced into the pYFRed for the screening of the positive recombinants by the unaided eye without the need for additional reagents/equipment. pYFRed is easy to construct in an ordinary laboratory, which facilitates researchers to develop their cloning vector without purchasing commercial cloning vectors.…”
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Cell-membrane targeting sonodynamic therapy combination with FSP1 inhibition for ferroptosis-boosted immunotherapy by Jian Chen, Qiyu Zhan, Lie Li, Simin Xi, Longmei Cai, Ruiyuan Liu, Lujia Chen

“…This work represents a promising tumor therapeutic strategy combining cell membrane targeting SDT and FSP1 inhibition, potentially inspiring further research in developing logical and effective cancer therapies based on synergistic SDT/ferroptosis.…”
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Investigating Low-Frequency Electromagnetic Fluctuations on PCB Surfaces: A Near-Field Analysis of CBCPW Transmission Lines up to 15.2 MHz by Mariusz Zubert, Mariusz Jankowski, Zbigniew Kulesza

“…Additionally, 2-D autocovariance analysis provides a precise evaluation of electromagnetic field characteristics over the PCB surface. This research further develops a model for electromagnetic field fluctuations by incorporating theoretical frameworks aligned with stochastic Maxwell&#x2019;s equations and addressing challenges such as measurement uncertainty and mechanical stepping of the probe head over the PCB surface. …”
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Classification of disinformation in hybrid warfare: an application of XLNet during the Russia’s war against Ukraine by Halyna Padalko, Vasyl Chomko, Sergiy Yakovlev, Plinio Pelegrini Morita

“…The tasks of this study are to analyze current research and develop a methodology to effectively classify disinformation using the XLNet model. …”
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Scientific and Pedagogical Heritage of Professor V.L. Wagin at the Kazan University by R.M. Sabirov, A.I. Golubev, L.V. Malutina, A.V. Bespyatikh

“…The third direction of research was developed by V.L. Wagin at the Kazan University. …”
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O litoral do Rio Grande do Norte: Dinâmica e modelo espacial by Andrea de Castro Panizza, Jérôme Fournier

“…This work brings part of the research results developed during a post-doctoral position conducted in the laboratory COSTEL (Climat et du Sol Occupation par Télédétection) of the University of Rennes 2 (France) and funded by the CNRS (Centre National de la Recherche Scientifique, France), during the years 2005 and 2006. …”
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Detection of COVID-19 Using Protein Sequence Data via Machine Learning Classification Approach by Siti Aminah, Gianinna Ardaneswari, Mufarrido Husnah, Ghani Deori, Handi Bagus Prasetyo

“…These results demonstrate the model’s efficacy in accurately classifying coronavirus protein sequences. Our research successfully developed a robust classification model capable of early detection and prediction of protein sequences in SARS-CoV-2 and other coronaviruses. …”
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An experimental analysis of air flow-induced piezoelectric energy harvesting using flexible poly (vinylidene fluoride) nanocomposite films by D. M. Nivedhitha, S. Jeyanthi, B. Rithish, B. G. Sai Charan, S. Ravi, G. Vinayagamurthy, Senthil Muthu Kumar Thiagamani

“…So, various researchers are developing a flexible, lightweight piezoelectric-based energy harvesting device that can effectively capture mechanical vibrations and convert them into electrical energy. …”
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Proof of Concept of an IoT-Based Public Vehicle Tracking System, Using LoRa (Long Range) and Intelligent Transportation System (ITS) Services by Ricardo Salazar-Cabrera, Álvaro Pachón de la Cruz, Juan Manuel Madrid Molina

“…In order to improve public transportation systems in intermediate cities, we proposed the development of an IoT-based public vehicle tracking system, using LoRa (Long Range) and ITS services. In this research, we developed the proposed system as a proof of concept. …”
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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

“…One of these devices is the Servox Digital Electro-Larynx (EL). In this research, we developed an autoencoder with a combination of long short-term memory (LSTM) and gated recurrent units (GRU) models to recognize recorded signals from Servox Digital EL Electro-Larynx. …”
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Performance evaluation of perceptible impulsive noise detection methods based on auditory models by Arda Özdoğru, František Rund, Karel Fliegel

“…The results presented here can help research and develop such algorithms for vinyl production, audio archiving, podcasting, music production, and telecommunications.…”
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