Systematic review and meta-analysis of quotation inaccuracy in medicine by Christopher Baethge, Hannah Jergas

“…This study aimed to examine the quotation error rate and trends over time in the medical literature. …”
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Performance analysis of PHY layer for RIS-assisted wireless communication systems with retransmission protocols by Sheng Hao, Huyin Zhang

“…Furthermore, the impacts of traffic rate and limited transit buffer on packet transmission and energy consumption are not considered for RIS assisted WLC systems. …”
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A Decade-Long Trend in The Development of Systems Thinking Skills on Science Learning : Contributions to Elementary Schools by Ade Yulianto, Wahyu Sopandi, Riandi Riandi, Ghullam Hamdu

“…The findings of this study indicate that research on systems thinking in science learning has experienced an annual growth rate of 9.6% and an average citation rate of 13.6 citations per document. …”
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Investigating the impact of credit risk on financial performance of commercial banks in Ghana by Angela Akpemada Kwashie, Samuel Tawiah Baidoo, Enock Kojo Ayesu

“…Macroeconomic factors such as gross domestic product, inflation, and monetary policy rate are included in the analysis. Panel data spanning the period 2013 to 2018 on 15 commercial banks in Ghana is used for the analysis. …”
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Assessment of anaesthesiologist and public hospital preparedness for the prevention and treatment of local anaesthetic systemic toxicity (LAST): a national survey by Alif Noikham, Tatcha Tratornpisuttikul, Pawinee Pangthipampai

“…The study includes anaesthesiologists from public hospitals in Thailand. Data are collected by mailing letters to all public hospitals.Results The survey collected responses from 284 anaesthesiologists in 108 hospitals, reflecting a response rate of 57.8%. …”
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Active Surveillance for Carbapenemase-Producing, Carbepenem-Resistant Enterobacteriacaea (CP-CRE): Is the Current CP-CRE Screening Regimen In Our Hospital Effective and Cost Effici... by Seow Yen Tan, Edwin Philip Conceicao

“…RESULTS: The highest positivity rate (2.12%) was observed on day 10 of admission, an overall low positivity rate indicating effective infection control. …”
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The "Flexi-Chamber": A Novel Cost-Effective In Situ Respirometry Chamber for Coral Physiological Measurements. by Emma F Camp, Sophie-Louise Krause, Lourianne M F Santos, Malik S Naumann, Ruy K P Kikuchi, David J Smith, Christian Wild, David J Suggett

“…However, metabolic rates are not trivial to quantify and typically rely on the use of cumbersome in situ respirometry chambers and/or the need to remove material and examine ex situ, thereby fundamentally limiting the scale, resolution and possibly the accuracy of the rate data. …”
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Assessment of the Opinions of Anesthesiology and Reanimation Research Assistants Regarding Clinical Anatomy Education: A University Example by Mustafa Büyükcavlak, Zeliha Fazlıoğulları, Nadire Ünver Doğan, İnci Kara, Emine Aslanlar

“…Participants were asked to rate the questions on a scale from 1 to 5. Additionally, data such as age, gender, duration of clinical experience, experience with neuroaxial or peripheral nerve blocks, and participation in regional anesthesia courses were recorded. …”
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Statistical Study of the Russian Financial System under Sanctions by V. V. Narbut, V. N. Salin, E. P. Shpakovskaya

“…The sources of information for the calculations were official data from the Ministry of Finance of the Russian Federation, the Bank of Russia, the provider of data on financial markets Cbonds and PJSC “Moscow Exchange”. …”
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ImageDoubler: image-based doublet identification in single-cell sequencing by Kaiwen Deng, Xinya Xu, Manqi Zhou, Hongyang Li, Evan T. Keller, Gregory Shelley, Annie Lu, Lana Garmire, Yuanfang Guan

“…However, doublets—where two or more cells are sequenced together—disrupt this assumption and can lead to potential data misinterpretations. Traditional doublet detection methods primarily rely on simulated genomic data, which may be less effective in homogeneous cell populations and can introduce biases from experimental processes. …”
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Classifying vocal responses of broilers to environmental stressors via artificial neural network by T. Lev-ron, Y. Yitzhaky, I. Halachmi, S. Druyan

“…Detecting early-stage stress in broiler farms is crucial for optimising growth rates and animal well-being. This study aims to classify various stress calls in broilers exposed to cold, heat, or wind, using acoustic signal processing and a transformer artificial neural network (ANN). …”
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Diagnosis of clear cell renal cell carcinoma via a deep learning model with whole-slide images by Weixing Jiang, Siyu Qi, Cancan Chen, Wenying Wang, Xi Chen

“…The total accuracy was 94.6% (296/313), the precision rate was 97.6% (239/245), and the recall rate was 95.6% (239/250). …”
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Mapping Individual Tree- and Plot-Level Biomass Using Handheld Mobile Laser Scanning in Complex Subtropical Secondary and Old-Growth Forests by Nelson Pak Lun Mak, Tin Yan Siu, Ying Ki Law, He Zhang, Shaoti Sui, Fung Ting Yip, Ying Sim Ng, Yuhao Ye, Tsz Chun Cheung, Ka Cheong Wa, Lap Hang Chan, Kwok Yin So, Billy Chi Hang Hau, Calvin Ka Fai Lee, Jin Wu

“…These forests are characterized by dense understories with abundant shrubs and lianas, as well as high stem density, which pose challenges in Light Detection and Ranging (LiDAR) point cloud data processing. We assessed tree detection rates and extracted tree attributes, including diameter at breast height (DBH) and canopy height. …”
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EKNet: Graph Structure Feature Extraction and Registration for Collaborative 3D Reconstruction in Architectural Scenes by Changyu Qian, Hanqiang Deng, Xiangrong Ni, Dong Wang, Bangqi Wei, Hao Chen, Jian Huang

“…The vertices and edges of geometric structure models are sparse, and existing methods face challenges such as low feature extraction efficiency and substantial data requirements when processing sparse graph structures after geometrization. …”
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A Nonlinear Suspension Road Roughness Recognition Method Based on NARX-PASCKF by Jiahao Qian, Yinong Li, Ling Zheng, Huan Wu, Yanlin Jin, Linhong Yu

“…On the one hand, the accurate road roughness estimated by the NARX is converted into process noise covariance, enhancing the estimator’s accuracy and convergence rate. …”
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THE RE-INDUSTRIALIZATION IN THE UNITED STATES AND THE EU by SERGEY ALEXEEVICH Pobyvaiev, SERGEY ALEXANDROVICH Tolkachev

“…Based on the analysis and comparison of statistical data and expert estimations the authors conclude that, despite the development of re-industrialization process in the US and the EU, it is premature to talk about any qualitative change. …”
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Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features by Hao Wu, Dan Tang, Yuan Cai, Chaowen Zheng

“…To avoid the cable early faults causing great damage to the power grid operation, in this paper, we propose a research method for cable early fault identification based on the fusion of Markov Transition Field (MTF)-Gramian Angular Field (GAF) and multi-head attention mechanism features to accurately identify the cable early faults. Firstly, the fault data are preprocessed by the least mean square algorithm optimized by the adaptive gradient method; then the preprocessed one-dimensional data are converted into two-dimensional (2D) images by using MTF and GAF, respectively, and then the two types of images are fused to serve as the input of the classification network; finally, a hybrid neural network for cable early fault identification composed of a deep convolutional neural network and dense convolutional network is established, the hybrid neural network is improved by using group convolution and Ghost convolution, and the output features of the hybrid neural network are fused and classified through the mechanism of multi-head attention, and the output results of the cable early fault identification are output. …”
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The current state of the humus content of arable chernozems of the true steppes (the example of the Rostov region, Russia) by O. V. Chernova, I. O. Alyabina, O. S. Bezuglova, Yu. A. Litvinov

“…To estimate the humus content and stocks of arable chernozems of two soil-ecological zones (Predcaucasia and Yuzhno-Russkaya) within the Rostov region, as well as the possibility of the optimization of the state of their humus under current conditions.Material and Methods. The following data sources were used: soil and general geographic information accumulated in the Soil-geographic Database of the Russian Federation information system, the Red Book of the Rostov Region Soils database, digitised archived soil survey data of 1977-1995 and agrochemical monitoring data of 2012-2017.Results. …”
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Assessing the effect of model specification and prior sensitivity on Bayesian tests of temporal signal. by John H Tay, Arthur Kocher, Sebastian Duchene

“…In consequence, we recommend: (i) using prior predictive simulations to determine whether the prior generates a reasonable expectation of parameters of interest, such as the evolutionary rate and age of the root node, (ii) conducting prior sensitivity analyses to assess the robustness of the posterior to the choice of prior, and (iii) selecting a molecular clock model that reasonably describes the evolutionary process.…”
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Assessment of PTSD in military personnel via machine learning based on physiological habituation in a virtual immersive environment by Gauthier Pellegrin, Nicolas Ricka, Denis A. Fompeyrine, Thomas Rohaly, Leah Enders, Heather Roy

“…In our work, we proposed a quantitative measure of habituation to stressful events that can be quantitatively estimated through physiological data such as heart rate, galvanic skin response and eye blinking. …”
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