Exploring family physicians’ experiences with electronic prescribing platforms in primary healthcare centers in Hail, Saudi Arabia: a qualitative study by Bader Alshoumr, Abdullah Alkhalaf, Hend Alkwai, Yazed Alsowaida, Ghaliah Alfehaid, Badr Alnasser

“…By using purposive sampling, we interviewed 12 out of 69 licensed family physicians working in different primary healthcare centers at Hail region. …”
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MALDI imaging mass spectrometry differentiates basal cell carcinoma from trichoblastoma and trichoepithelioma: A proof of principle study. by Jennifer M C Ranes, Jessica L Moore, Nathan H Patterson, Sarah P Nicholson, Sara Kantrow, Jason Robbins, Richard M Caprioloi, Jeremy L Norris, Rami N Al-Rohil

“…<h4>Conclusions</h4>Our study proves that BCC and TB/TE exhibit different proteomic profiles that one can use to enable accurate differential diagnosis. …”
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Challenges in developing a split drive targeting dsx for the genetic control of the invasive malaria vector Anopheles stephensi by Mireia Larrosa-Godall, Joshua X. D. Ang, Philip T. Leftwich, Estela Gonzalez, Lewis Shackleford, Katherine Nevard, Rob Noad, Michelle A. E. Anderson, Luke Alphey

“…Several target genes have been suggested and tested in different mosquito vector species such as Anopheles gambiae and Aedes aegypti. …”
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Effectiveness of Radiofrequency Ablation of Genicular Nerves in the Treatment of Chronic Knee Pain due to Degenerative Osteoarthritis: A Prospective Interventional Study by G Siddalingamurthy, Srinivas Hebbal Thammaiah, Ankit Gupta, V Sheshagiri, Madhukesh Rudramurthy

“…This minimally invasive procedure is a safe, effective and cost-efficient treatment option for OA patients who rely heavily on analgesics, are unsuitable for surgery, or experience persistent pain after Total Knee Replacement (TKR).…”
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Development and Validation of a Custom-Built System for Real-Time Monitoring of In Vitro Rumen Gas Fermentation by Zhen-Shu Liu, Bo-Yuan Chen, Jacky Peng-Wen Chan, Po-Wen Chen

“…While the Ankom RF system facilitates efficient high-throughput in vitro fermentation studies, its high cost and limited flexibility constrain its broader applicability. …”
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Targeted Drug Delivery of Anticancer Agents Using C₅N₂ Substrate: Insights from Density Functional Theory by Syeda Huda Mehdi Zaidi, Muhammad Ajmal, Muhammad Ali Hashmi, Ahmed Lakhani

“…Cancer has a threatening impact on human health, and it is one of the primary causes of fatalities worldwide. Different conventional treatments have been employed to treat cancer, but their non-specific nature reduces their therapeutic efficacy. …”
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Genome-wide identification of invertase genes in sweetpotato and its response to nitrogen and planting densities by Zheng-yu Hu, Pei-xin He, Yu-jie Li, Hong-Juan Liu, Rafiq Ahmad, Izhar Ali, Cheng-cheng Si

“…Conclusion These observations underscore the expansion of IbINVs in sweetpotato and provide a theoretical basis for optimizing the interaction between nitrogen application and planting density in sweetpotato, allowing for more efficient nitrogen use and improved growth.…”
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Knowledge and beliefs about dietary inorganic nitrate among UK-based nutrition professionals: development and application of the KINDS online questionnaire by John C Mathers, Oliver M Shannon, Giorgia Grisotto, Abrar Babateen, Andrea McGrattan, Kirsten Brandt, Mario Siervo

“…Objectives To examine knowledge and beliefs about the biological roles of dietary inorganic nitrate in UK-based nutrition professionals, and to explore potential differences by participants’ education level.Setting An online questionnaire was administered to UK-based nutrition professionals, exploring knowledge and/or beliefs across five areas: (1) health and performance effects of nitrate; (2) current and recommended intake values for nitrate; (3) dietary sources of nitrate; (4) methods of evaluating nitrate intake and (5) nitrate metabolism.Participants One hundred and twenty-five nutrition professionals.Primary outcome Knowledge and beliefs about inorganic nitrate.Results Most nutrition professionals taking part in the survey had previously heard of inorganic nitrate (71%) and perceived it to be primarily beneficial (51%). …”
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Mouse models of aortic dissection induced by β-aminopropionitrile combined with angiotensin II and the changes in their gut microbiota by Xinyu Hao, Shi Wu, Shuai Cheng, Xueling Wang, Jiawei Zhang, Xuan Li, Bo Jiang, Shijie Xin

“…Results Acute AD models were created using male C57BL/6J mice aged 5–6 weeks, induced with β-aminopropionitrile (BAPN) combined with angiotensin II (Ang-II). The models differed in terms of dosage, timing, and path of administration. …”
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Performance Evaluation of Polyethersulfone Membranes for Competitive Removal of Cd2+, Co2+, and Pb2+ Ions from Simulated Groundwater by Salwa H. Ahmed, Sama M. Al-Jubouri, Nasser Zouli, Ahmed A. Mohammed, Hasan Shaker Majdi, Issam K. Salih, Muayad Al-shaeli, Ayham. M. I. Al-Rahawi, Qusay F. Alsalhy, Alberto Figoli

“…Co2+ ions, Cd2+ ions, and Pb2+ ions with two different initial concentrations (e.g., 10 and 50 ppm) were selected as examples of heavy metals that contaminate the groundwater as a result of geological and human activities. …”
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Integration of multimodal imaging data with machine learning for improved diagnosis and prognosis in neuroimaging by Saurabh Bhattacharya, Sashikanta Prusty, Sanjay P. Pande, Monali Gulhane, Santosh H. Lavate, Nitin Rakesh, Saravanan Veerasamy

“…Current approaches are less helpful for forecasting, however, as they do not always blend spatial and temporal patterns from different sources properly. This work presents a novel mixed deep learning (DL) method combining data from many sources using CNN, GRU, and attention techniques. …”
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A Novel Rubber Composite Sleeper-Deformation-Prediction Model Based on Response Surface Method (RSM) and Machine Learning (ML) Techniques by Abdulmumin Ahmed Shuaibu, Zhiping Zeng, Ibrahim Hayatu Hassan, Wang Weidong, Hassan Suleiman Otuoze, Suleiman Abdulhakeem, Bushrah Baba Abdulrahman

“…Developing temperature-dependent predictive models offers a cost-effective and efficient alternative, providing accurate insights into sleeper behaviour under different conditions while saving time, labour, and materials. …”
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Developing an Operational Approach to Educational Quality Assurance in Colleges under the Office of the Vocational Education Commission in Thailand by Ch. Chianchana, S. Na Wichian

“…The research results show that the similar contexts of education at all courses are the standard of vocational management and the standard for creating a society of learning (cooperation in creating a society of learning). Meanwhile, the differences identified are related to the peculiarities of professional qualifications and various standards for creating a learning society (innovation, inventions, creative work and research). …”
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Safety and Efficacy of High Power Shorter Duration Ablation Guided by Ablation Index or Lesion Size Index in Atrial Fibrillation Ablation: A Systematic Review and Meta-Analysis by Xing Liu, Chun Gui, Weiming Wen, Yan He, Weiran Dai, Guoqiang Zhong

“…Moreover, complications and esophageal lesion were low and no different between two groups.…”
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Advanced multi-label brain hemorrhage segmentation using an attention-based residual U-Net model by Xinxin Lin, Enmiao Zou, Wenci Chen, Xinxin Chen, Le Lin

“…Abstract Objective This study aimed to develop and assess an advanced Attention-Based Residual U-Net (ResUNet) model for accurately segmenting different types of brain hemorrhages from CT images. …”
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Detecting and identifying Schistosoma infections in snails and aquatic habitats: A systematic review. by Bishoy Kamel, Martina R Laidemitt, Lijun Lu, Caitlin Babbitt, Ola Liota Weinbaum, Gerald M Mkoji, Eric S Loker

“…We note a growing trend to use eDNA techniques to permit more efficient and replicable sampling. qPCR-based protocols for follow-up detection offer a versatile, mature, sensitive, and specific platform for diagnosis though centralized facilities will be required to favor standardization. …”
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A Transformer-LSTM-SVR hybrid model for AI-driven emotional optimization in NEV embedded interior systems by Zongming Liu, Xuhui Chen, Xinan Liang, Zhicheng Sun, Fengqi Yang, Wenwen Ou, Linwei Li, Xiayan Qin

“…Current research on emotion optimization in new energy vehicle interiors lacks efficient nonlinear modeling methods. To address this gap, a hybrid Transformer-LSTM-SVR model is proposed, which significantly enhances emotion prediction accuracy by integrating attention mechanisms and temporal modeling. …”
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Tree Species Detection and Enhancing Semantic Segmentation Using Machine Learning Models with Integrated Multispectral Channels from PlanetScope and Digital Aerial Photogrammetry i... by Arun Gyawali, Mika Aalto, Tapio Ranta

“…Remote sensing technologies combined with machine learning techniques present an encouraging solution, offering a more efficient alternative to conventional field-based methods. …”
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Lightweight blasthole image detection and positioning method by Shan PAN, Ting YU, Zhongwen YUE, Zijian TIAN, Qingyu JIN

“…By incorporating an atrous spatial pyramid pooling module, the receptive field is expanded to capture fine-grained differences between blastholes and shadows formed by rock occlusion in complex surrounding rock backgrounds. …”
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Genetic diversity and phylogenetic relationship through the use of microsatellites in Gossypium hirsutum L. by Syeda Yashfeen Fatima, Tahira Luqman, Shabbir Hussain, Sahar Nadeem, Muhammad Kashif Riaz Khan, Allah Ditta, Muhammad Asif

“…Abstract Enhancing cotton yield and fiber quality is challenging due to the limited genetic variation, highlighting the need for efficient use of germplasm resources. Therefore, 10 morpho-physiological characters and 10 simple sequence repeat (SSR) markers were used to investigate the genetic variability of 50 cotton genotypes. …”
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