Telemedicine-supported hospital-at-home for acutely admitted patients at Nordsjaellands Hospital, Denmark: a study protocol for a randomised controlled trial by Maria Normand Larsen, Tatjana Sandreva Dreisig, Maja Kjaer Rasmussen, Maria Lund Christensen, Daniel Bjerregaard, Charlotte Demuth von Sydow, Thyge Lynghøj Nielsen, Thea Kølsen Fischer

“…Furthermore, HaH has the potential to improve patient outcomes, reduce costs and increase patient satisfaction. However, few studies have evaluated HaH in a Scandinavian setting, and this article describes the protocol for a randomised controlled trial (RCT) comparing an HaH model with continued conventional in-hospital admission. …”
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Recent technological developments allow for passive acoustic monitoring of Orthoptera (grasshoppers and crickets) in research and conservation across a broad range of temporal and... by David Bennett, Henning Nissen, Marc Andre Maschke, Heinrich Reck, Tim Diekötter

“…However, PAM has been limited by resource costs and availability of automatic classifiers to assist data analysis. …”
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Development and validation of a nomogram-based risk prediction model for non-alcoholic fatty liver disease (NAFLD): a logistic regression analysis in a physical examination populat... by Jing Lan, Ting Que, Hong Lan, Mingming Zhang, Lichan Ban

“…NAFLD diagnosis primarily relies on imaging methods, which may be invasive, costly, or limited. Existing prediction models, such as the Fatty Liver Index (FLI) and NAFLD Liver Fat Score (NLFS), mainly incorporate metabolic parameters from Western populations and neglect non-metabolic factors, limiting their generalizability. …”
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Patient Voices in Dialysis Care: Sentiment Analysis and Topic Modeling Study of Social Media Discourse by Ravi Shankar, Qian Xu, Anjali Bundele

“…Latent Dirichlet allocation topic modeling identified 8 key thematic clusters: medical procedures and outcomes (722/4059, 17.8% prevalence), daily life impact (666/4059, 16.4%), risks and complications (621/4059, 15.3%), patient education and support (544/4059, 13.4%), health care access and costs (499/4059, 12.3%), symptoms and side effects (442/4059, 10.9%), patient experiences and socioeconomic challenges (406/4059, 10%), and diet and fluid management (162/4059, 4%). …”
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Machine Learning Approach to Identifying Wrong-Site Surgeries Using Centers for Medicare and Medicaid Services Dataset: Development and Validation Study by Yuan-Hsin Chen, Ching-Hsuan Lin, Chiao-Hsin Fan, An Jim Long, Jeremiah Scholl, Yen-Pin Kao, Usman Iqbal, Yu-Chuan Jack Li

“… BackgroundWrong-site surgery (WSS) is a critical but preventable medical error, often resulting in severe patient harm and substantial financial costs. While protocols exist to reduce wrong-site surgery, underreporting and inconsistent documentation continue to contribute to its persistence. …”
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The Halo Vest Immobilization for Craniocervical Junction Tuberculosis: A Comparison of Treatment Options by Yunfeng Wu, Xiyou Yang, Long Yu, Ning Liu, Shangjie Yang, Xu Cui

“…Given the substantial costs and risks associated with open surgery, we advocate for conservative treatment utilizing HV.…”
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Genomic Prediction in a Self-Fertilized Progenies of <i>Eucalyptus</i> spp. by Guilherme Ferreira Melchert, Filipe Manoel Ferreira, Fabiana Rezende Muniz, Jose Wilacildo de Matos, Thiago Romanos Benatti, Itaraju Junior Baracuhy Brum, Leandro de Siqueira, Evandro Vagner Tambarussi

“…Consequently, it can reduce breeding program production costs, as it eliminates the need to implement experiments in large planted areas while also enhancing the reliability in selection of genotypes.…”
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Factors Influencing Telemedicine Adoption Among Health Care Professionals: Qualitative Interview Study by Fiona Schürmann, Daniel Westmattelmann, Gerhard Schewe

“…Perceived risks were multidimensional, including performance risks such as treatment limitations (mentioned by 7/14, 50% of the participants) and reliance on technical proficiency of patients (5/14, 36%), privacy risks related to data security (10/14, 71%), and time and financial risks associated with training (7/14, 50%) and equipment costs (4/14, 29%). Perceived benefits encompassed convenience through reduced travel time (5/14, 36%), improved care quality due to higher accessibility (8/14, 57%), and operational efficiency (7/14, 50%). …”
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Research and Analysis of Thermal Parameter of Million-kilowatt Sodium-cooled Fast Reactor by DING Tongwei1, CHEN Wei2, WANG Wenjie3

“…Under the premise of ensuring reactor safety, with a focus on the safety and reliability of the core, the feasibility of the system, the characteristics of the coolant and materials, the level of equipment manufacturing, and the appropriate reduction of manufacturing costs while lowering thermal efficiency, the thermal-hydraulic parameters of the million-kilowatt sodium-cooled fast reactor were analyzed. …”
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Perceptions about hepatitis C and barriers and enablers to screening and treatment among Egyptian immigrants to Canada: a theory-informed qualitative study by Sameh Mortazhejri, Isabella M. Thomas, Andrea M. Patey, Amjad Alghamyan, Curtis Cooper, Sarah Mansour, Smita Pakhale, Justin Presseau, Jeremy M. Grimshaw, Christina Greenaway

“…There is an average 10-year diagnosis delay, causing poor health outcomes and high healthcare system costs. Therefore, we aimed to understand immigrants’ perceptions and beliefs about HCV, as well as the barriers and enablers to HCV care among immigrants, with a focus on individuals from Egypt, given the country’s high endemic rates of HCV infection and the large Egyptian community in Canada. …”
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Utility of Emergent Spine MRI in the Emergency Department by Farid Hajibonabi, Dan Cohen-Addad, Francisco Delgado, Po-Han Chen, Bing Fang Wang, Shamie Das, Tarek N. Hanna

“…Of the positive cases, 17.7% underwent hospitalization, with 13.1% requiring emergent surgery. Considering high costs in both time and resource utilization, further research is needed to optimize the triage process for patients requiring emergent spine MRI.…”
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Results of the clinical evaluation of the low-dose protocols of the digital linear tomography of the chest by I. G. Kamyshanskaya, V. M. Cheremisin, A. V. Vodovatov, A. N. Boriskina

“…These methods are associated with significant drawbacks: low specificity for radiography, high costs per examination, significant patient doses, and limited availability for computed tomography. …”
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Cross-sectional survey on cancer patients’ concerns and consultation needs with pharmacists at the time of initial diagnosis by Tomofumi Watanabe, Atsunobu Sagara, Tomoya Abe, Masato Komuro, Koharu Yubune, Satoshi Yoshikawa, Hiroyuki Terakado

“…The most frequently reported concerns were treatment-related, including side effects (49.2%), treatment costs (48.0%), psychological distress (41.6%), and mechanisms of anticancer drugs (38.8%). …”
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CARIES EXPERIENCE AND ORAL HEALTH BEHAVIOURS IN ROMANIAN YOUNG ADULTS by Ruxandra Sava-Rosianu, Antonia Ilin, Octavia Balean, Simona Olariu Posiar, Alexandru Simerea, Daniela Jumanca, Atena Galuscan, Ramona Dumitrescu

“…The primary reasons for the lack of dental check-ups were no complaints. high costs. and dental fear. The mean number of caries lesions on molars (2.67 ± 0.52) was higher than the restaurations (2.40 ± 0.19). with a mean difference of 0.3. …”
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Reconstructing prevalence dynamics of wildlife pathogens from pooled and individual samples by Borremans, Benny, Falvo, Caylee A, Crowley, Daniel E, Hoegh, Andrew, Lloyd-Smith, James O, Peel, Alison J, Restif, Olivier, Ruiz-Aravena, Manuel, Plowright, Raina K

“…Pathogen transmission studies require sample collection over extended periods, which can be challenging and costly, especially in the case of wildlife. A useful strategy can be to collect pooled samples, but this presents challenges when the goal is to estimate prevalence. …”
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An automatic identification method of common species based on ensemble learning by Hao-Xuan Li, Mei Zhang, De-Yao Meng, Bo Geng, Zu-Kui Li, Chuan-Feng Huang, Wen-Kang Li, Han-Lin Jiang, Rong-Hai Wu, Xiao-Wei Li, Ben-Hui Chen, Deng-Qi Yang, Guo-Peng Ren

“…Deep learning offers a promising solution by accurately identifying species from large datasets, enhancing processing efficiency, and reducing costs. While existing deep learning methods have achieved significant success in species identification, they often struggle with accurately recognizing all species due to the class imbalance prevalent in camera trap datasets, which limits the application of deep learning models in biodiversity monitoring. …”
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Growth and nitrogen productivity of drip-irrigated winter wheat under different nitrogen fertigation strategies in the North China Plain by Sunusi Amin ABUBAKAR, Abdoul Kader Mounkaila HAMANI, Guang-shuai WANG, Hao LIU, Faisal MEHMOOD, Abubakar Sadiq ABDULLAHI, Yang GAO, Ai-wang DUAN

“…Although the single-dose SRF could reduce labor costs involved with the traditional method of manual spreading, the drip fertigation system used in this study with the N50–50 treatment provides an option for farmers to maintain wheat production in the NCP.…”
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Energy storage efficiency modeling of high-entropy dielectric capacitors using extreme learning machine and swarm-based hybrid support vector regression computational methods by Yas Al-Hadeethi, Taoreed O. Owolabi, Mouftahou B. Latif, Bahaaudin M. Raffah, Ahmad H. Milyani, Saheed A. Tijani

“…The dependence of energy storage efficiency of high-entropy ceramics on dopants substitutions, concentrations and coercive energy is experimentally tedious, costly and time consuming hence the need for computational and theoretical approaches to model the energy storage efficiency of these materials. …”
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Influence of lactulose as a composition of organic-mineral feed additive on broiler chicken productivity, feed digestibility, and microbiome by Еlena A. Sizova, Daniil E. Shoshin, Еlena V. Yausheva, Anastasia P. Ivanishcheva, Ksenia S. Nechitailo, Kristina V. Ryazantseva

“…Group II demonstrated superior weight gain (17.9%) but incurred a 3.6% increase in feed costs. Digestibility of crude fat and protein improved significantly in Group II (p = 0.037). …”
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Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials by Nikee Shrestha, Anirudha Powadi, Jensina Davis, Timilehin T. Ayanlade, Huyu Liu, Michael C. Tross, Ramesh K. Mathivanan, Jordan Bares, Lina Lopez‐Corona, Jonathan Turkus, Lisa Coffey, Talukder Zaki Jubery, Yufeng Ge, Soumik Sarkar, James C. Schnable, Baskar Ganapathysubramanian, Patrick S. Schnable

“…We demonstrate that satellite remote sensing could play a similar role in crop performance assessment as unmanned aerial vehicles (UAVs) but with far lower labor costs and the greatest ease of collection at remote field sites. …”
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