Performance of EncephalApp Stroop Test in Cirrhotic Patients for Evaluating Covert Hepatic Encephalopathy by Juferdy Kurniawan, Stefanus Satrio Ranty, Andri Sanityoso Sulaiman, Rino Alvani Gani

“…EncephalApp Stroop Test as a newer diagnostic tool is easier, faster and its ease of availability in various health institutions is expected to be applied in Indonesia for covert HE detection. …”
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Compatibility of pulse–pulse intervals with R–R intervals in assessing cardiac autonomic function and its relation to risks of atherosclerosis by Cheuk-Kwan Sun, Cyuan-Cin Liu, Wei-Min Liu, Hsien-Tsai Wu, Ruay-Ming Huang, An-Bang Liu

“…Objective: Heart rate variability (HRV) analysis using electrocardiographic R–R intervals (RRIs) in either a time or a frequency domain is a useful tool for assessing cardiac autonomic dysfunction in clinical research. …”
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Closing the clinical-imaging gap in adhesive capsulitis? Cutoff values of quantitative shoulder ultrasonography for diagnosis of equivocal cases by Mohammad Fouad Abdelbaki Allam, Ahmad Fouad Abdelbaki Allam, Sara Mahmoud Ragaee, Mohamed Sayed Khamies, Ahmed Hamed Ismail, Mohamed Aboul-fotouh Elsayed Mourad

“…Results All symptomatic shoulders demonstrated at least one abnormal sonographic parameter, the majority of them showed more than one abnormality. …”
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Clinical and radiographic evaluation for two crestal sinus lift techniques: osteotome versus osseodensification. a systematic review and meta-analysis by Carlos Manuel Cobo-Vázquez, Sonia García-Rodríguez, María Eugenia Colmenares-Otero, Luis Miguel Sáez-Alcaide, Jorge Cortés-Bretón-Brinkmann, Cristina Madrigal Martínez-Pereda, Cristina Meniz-Garcia

“…The Newcastle–Ottawa Quality Assessment Scale and the Cochrane Collaboration tool for evaluating risk of bias. A meta-analysis for random effects was carried out for implant survival, residual bone height and bone gain. …”
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Use of clinical algorithms and rapid influenza testing to manage influenza-like illness: a cost-effectiveness analysis in Sri Lanka by L Gayani Tillekeratne, Champica Bodinayake, Ajith Nagahawatte, Ruvini Kurukulasooriya, Lori A Orlando, Ryan A Simmons, Lawrence P Park, Christopher W Woods, Shelby D Reed

“…At a higher threshold of US$28.7, the test price must be <US$7.7.Conclusion Clinical prediction tools and targeted rapid influenza testing may be cost-saving strategies in Sri Lanka when accounting for the societal cost of antimicrobial resistance.…”
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Measurement of bovine (Bos taurus) serum albumin by different methods and the comparison of protein fractions determined by capillary zone electrophoresis and agarose gel electroph... by Leandro Abreu da Fonseca, Fabiano Montiani-Ferreira, Marilyn Rodriguez, Joao Henrique Jabur Bittar, Fabricia Modolo Girardi, Theo Matos Arantes Moraes, Carolyn Cray

“…Serum albumin measurement is an important parameter routinely evaluated in clinical biochemistry within the livestock industry. …”
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Quantifying training response in cycling based on cardiovascular drift using machine learning by Artur Barsumyan, Artur Barsumyan, Raman Shyla, Anton Saukkonen, Christian Soost, Jan Adriaan Graw, Rene Burchard, Rene Burchard, Rene Burchard

“…PurposeThe most important parameter influencing performance in endurance sports is aerobic fitness, the quality of the cardiovascular system for efficient oxygen supply of working muscles to produce mechanical work. …”
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Evaluation of ultrasonographic optic nerve sheath diameter and central retinal artery Doppler indices by point-of-care ultrasound in pediatric patients with increased intracranial... by Nagehan Aslan, Dinçer Yıldızdaş, Özden Özgür Horoz, Mazhar Özsoy, Ahmet Yöntem, Eralp Çetinalp, Gülen Gül Mert

“…In terms of predicting increased ICP, the ONSD measurement was the strongest parameter, with its area under the curve: 0.767 (95 percent confidence interval: 0.68-0.85). …”
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Assessing water clarity in the Chesapeake Bay using satellite-derived Secchi disk depth by Seunghyun Son, Nikolay P. Nezlin, Veronica P. Lance

“…Furthermore, this study contributes to the increasing confidence that with similar analysis of other turbid coastal and inland water bodies, ocean color remote sensing can be a robust tool to understand and manage water quality, globally, including retrospective studies covering the satellite era.…”
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Vertical Dense Jets in Crossflows: A Preliminary Study with Lattice Boltzmann Methods by Maria Grazia Giordano, Jérôme Jacob, Piergiorgio Fusco, Sabina Tangaro, Daniela Malcangio

“…The results show a systematic underestimation of these quantities, but the key trends are successfully captured, highlighting LBM’s promise as a tool for simulating wastewater dispersion in aquatic environments.…”
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Avaliação da interferência do laser no material biológico vivo Evaluation of the influence of laser in live biological materials by Juliana V. L. Botega, Roberto A. Braga Júnior, Maurício P. P. Machado, Luiz A. Lima, Rafael O. Faria

“…The technique of biospeckle has been developed as a tool for analysis of biological materials activity for the checking of moisture, level of activity, presence of parasites, among other attributes. …”
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The diagnostic value of bronchodilator response in differentiating asthma, COPD, and ACO in fixed airflow obstruction: a retrospective study by Müge Erbay, Olcay Ayçiçek, Aleyna Bektaş Hocek, Kübra Nur Özdemir

“…An identified BDR cutoff of ≥ 280 mL could serve as a practical tool for distinguishing ACO.…”
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Design a Robust DDoS Attack Detection and Mitigation Scheme in SDN-Edge-IoT by Leveraging Machine Learning by Habtamu Molla Belachew, Mulatu Yirga Beyene, Abinet Bizuayehu Desta, Behaylu Tadele Alemu, Salahadin Seid Musa, Alemu Jorgi Muhammed

“…This study aims to improve DDoS detection accuracy by training a robust Machine Learning (ML) model using effective hyper-parameter tuning and Cross-Validation (CV) techniques. …”
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Comparative efficacy and acceptability of non-pharmacological interventions in fibromyalgia: Protocol for a network meta-analysis. by Mateus B Souza, Rodrigo O Mascarenhas, Laisa B Maia, Letícia S Fonseca, Hytalo J Silva, Rutger M J de Zoete, James H McAuley, Nicholas Henschke, Vinicius C Oliveira

“…Risk of bias of the included trials will be assessed using the Cochrane risk of bias tool (RoB2). For each pairwise comparison between the different interventions, we will present mean differences (MDs) for pain intensity and QoL outcomes and Relative Risks (RRs) for acceptability, both with respective 95% confidence intervals (CIs). …”
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Towards a robust hydrologic data assimilation system for hurricane-induced river flow forecasting by P. Abbaszadeh, F. Gholizadeh, K. Gavahi, H. Moradkhani

“…By accounting for different sources of uncertainty in model predictions – in particular model structural uncertainty (in addition to model parameter uncertainty) and atmospheric forcing data uncertainty – HEAVEN emerges as a powerful tool for enhancing flood prediction accuracy. …”
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Web-based machine learning application for interpretable prediction of prolonged length of stay after lumbar spinal stenosis surgery: a retrospective cohort study with explainable... by Paierhati Yasheng, Paierhati Yasheng, Alimujiang Yusufu, Yasenjiang Yimiti, Haopeng Luan, Cong Peng, Xinghua Song

“…Postoperative complications and socioeconomic effects are evaluated using the clinical parameter of hospital length of stay (LOS). This study aimed to develop a machine learning-based tool that can calculate the risk of prolonged length of stay (PLOS) after surgery and interpret the results.MethodsPatients were registered from the spine surgery department in our hospital. …”
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Assessing Facial Thermal Nociceptive Response in Female Dogs After Elective Ovariohysterectomy Anesthetized with Isoflurane and Treated with Cannabidiol and Meloxicam Analgesia by Alejandro Casas-Alvarado, Patricia Mora-Medina, Ismael Hernández-Avalos, Julio Martínez-Burnes, Agatha Miranda-Cortes, Adriana Domínguez-Oliva, Daniel Mota-Rojas

“…Pain management requires the identification of certain indicators to recognize pain. Various tools have been suggested to achieve an objective evaluation, including infrared thermography (IRT). …”
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Modeling the potential impact of rectal microbicides to reduce HIV transmission in bathhouses by Romulus Breban, Ian McGowan, Chad Topaz, Elissa J. Schwartz, Peter Anton, Sally Blower

“…Our modeling analyses show that even moderately effective rectalmicrobicides could be very effective prevention tools for reducing transmission inbathhouses and also potentially limit the spread of HIV in the community.…”
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Cascade-Based Input-Doubling Classifier for Predicting Survival in Allogeneic Bone Marrow Transplants: Small Data Case by Ivan Izonin, Roman Tkachenko, Nazarii Hovdysh, Oleh Berezsky, Kyrylo Yemets, Ivan Tsmots

“…The approach utilizes two artificial intelligence tools: the first Probabilistic Neural Network generates output signals that expand the independent attributes of an augmented dataset, while the second machine learning algorithm performs the final classification. …”
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Physically Based and Data-Driven Models for Landslide Susceptibility Assessment: Principles, Applications, and Challenges by Chenzuo Ye, Hao Wu, Takashi Oguchi, Yuting Tang, Xiangjun Pei, Yufeng Wu

“…They generally serve as practical tools for prediction but lack transparency and scientific interpretability. …”
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