Mucocutaneous Manifestations Reported by Inflammatory Bowel Disease Patients in University Hospital by Ieva Renata Jonaitytė, Vita Karpavičiūtė, Gediminas Kiudelis, Juozas Kupčinskas, Laimas Jonaitis

“…Erratum note The title, author's name, and abstract have been updated to reflect the correct information following a typographical error during typesetting. …”
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Invertebrates of Siberia as a promising source of animal protein for innovative feed and food production. 6. Potential of nutrient accumulation in biomass via feed enrichment by Sergei E. Tshernyshev, Andrei S. Babenko, Irina B. Babkina, Ruslan T-O. Baghirov, Vera P. Modyaeva, Margarita D. Morozova, Ksenia E. Skriptcova, Elena Yu. Subbotina, Mikhail V. Shcherbakov, Anastasia V. Simakova

“…This study investigates the feasibility of designing the nutrient composition of four model species of terrestrial invertebrates, namely: two insects, the House cricket (Acheta domesticus (Linnaeus, 1758)) and the Speckled cockroach (Nauphoeta cinerea (Olivier, 1789)), the Giant African land snail (Lissachatina fulica (Férussac, 1821)), and the oligochaete compost worm (Eisenia fetida (Savigny, 1826)), through the modification of the feeding substrate composition to obtain biomass with specified parameters of nutrients. …”
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Vulnerability for alcohol use disorder after adverse childhood experiences (AUDACE): protocol for a longitudinal fMRI study assessing neuropsychobiological risk factors for relapse by Falk Kiefer, Cagdas Türkmen, Noah Machunze, Haoye Tan, Sarah Gerhardt, Sabine Vollstädt-Klein

“…Thus, the aim of this study is to longitudinally assess the role of clinically relevant variables in the relationship between ACE and AUD, namely stress sensitivity, emotion processing, cue reactivity and cognitive functioning (response inhibition and working memory), in relation to relapse risk.Methods and analysis In this observational, longitudinal case-control study, 36 patients with AUD and heavy drinkers with varying degrees of ACE from a previous project (NCT03758053) as well as newly recruited participants from the same study population will be assessed. …”
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Integrated analysis of ATAC-seq and RNA-seq reveals ADSCP2 regulates oxidative phosphorylation pathway in hypertrophic scar fibroblasts by Qian Li, Zhe Quan, Ling Chen, Yiliang Yin, Xin Chen, Jingyun Li

“…The amalgamation of ATAC-seq and RNA-seq data elucidates that two OXPHOS associated genes, namely COX6B1 (cytochrome c oxidase subunit 6B1) and NDUFA1 (NADH dehydrogenase (ubiquinone) alpha subcomplex-1), demonstrate significant downregulation in the presence of ADSCP2. …”
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Validation of a B-type natriuretic peptide as a prognostic marker in pneumonia patients: a prospective cohort study by Yu Hashimoto, Daisuke Usuda, Ryusho Sangen, Emiri Muranaka, Yoshitsugu Iinuma, Tsugiyasu Kanda

“…Three cut-off points, namely 40, 100 and 200 pg/mL, as well as the mean, were applied when comparing BNP levels.Main outcome measures 30-day mortality.Results Of the 369 patients finally included, 137 were diagnosed with CAP, 122 with AP, 74 with HCAP, and 36 with PAHF. …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…This study proposes a U-Net model based on double dimensionality reduction and channel attention gating mechanism, namely the DCU-Net model for oncological image segmentation. …”
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Targeting and editing the second exon of bmp6 gene results in a silver carp with reduced intramuscular bones by Shuang Niu, Xiaohui Li, Cui Feng, Zewen Zhang, Hang Sha, Xiangzhong Luo, Guiwei Zou, Hongwei Liang

“…In this study, CRISPR/Cas9 technology was successfully used to target and disrupt exon 2 and exon 4 of bmp6 in silver carp, respectively, resulting in the generation of two bmp6-deficient chimeras, named chimera-E2 (CH-E2) and chimera-E4 (CH-E4). …”
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Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

“…Utilizing five machine learning models, namely linear regression (LR), least absolute shrinkage and selection operator (LASSO), extreme gradient boosting (XGBoost), random forest (RF), and support vector regression (SVR), we constructed inversion models. …”
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Construction and Optimization of Integrated Yield Prediction Model Based on Phenotypic Characteristics of Rice Grown in Small–Scale Plantations by Jihong Sun, Peng Tian, Zhaowen Li, Xinrui Wang, Haokai Zhang, Jiangquan Chen, Ye Qian

“…This study employs four rice phenotypic traits, namely, panicle angle, panicle length, total branch length, and grain number, along with seven machine learning methods—multiple linear regression, support vector machine, MLP, random forest, GBR, XGBoost, and LightGBM—to construct a yield prediction model group. …”
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Attitude to RSV Vaccination Among a Cohort of Pregnant Women in Jordan: A Cross‐Sectional Survey Study by Malik Sallam, Tleen Kherfan, Amwaj Al‐Farajat, Leen Nemrawi, Nada Atawneh, Rand Fram, Ala'a B. Al‐Tammemi, Muna Barakat, Kamil Fram

“…Two out of the six ABCDEF constructs were significantly associated with RSV vaccine acceptance, namely the “Advice” construct (aOR: 10.38, p < 0.001) and the “Fear” construct (aOR: 21.49, p < 0.001). …”
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Comparison of the adequacies of the OSCE and vOSCE to assess the competencies required under Brazilian medical curriculum guidelines: a multicenter study by Hervaldo Sampaio Carvalho, Maria do Carmo Barros Melo, Fabiana Maria Kakehasi, Priscila Menezes Ferri Liu, Fernanda Gontijo Minafra Silveira Santos, Ricardo Luiz de Melo Martins, Marilene Vale de Castro Monteiro, Marcelo Esteves Chaves Campos, Roberto Zonato Esteves, Matheus Belloni Torsani, Iolanda de Fátima Lopes Calvo Tiberio, Akihito Inca Atahualpa Urdiales, Andrea Mora De Marco Novellino, Rosiane Viana Zuza Diniz, Helena Ferreira Moura, Maria Alice de Vilhena Toledo, Célia Regina Machado Saldanha, Andrea Pedrosa Ribeiro Alves Oliveira, Patricia Zen Tempski, Itamar de Souza Santos, Milton de Arruda Martins

“…The DCNs encompass five groups of domains, namely, health education; general; health management; public health needs; and individual health needs. …”
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Effects of a social participation-focused virtual reality intervention for community-dwelling stroke survivors with physical disabilities: a randomised controlled trial protocol by Janita Pak Chun Chau, Suzanne Hoi Shan Lo, Vivian Wing Yan Lee, Kai Chow Choi, Alexander Yuk Lun Lau, David R Thompson, Eddie Chi Fai Kwok

“…Three SP-VR modules will cover key aspects of survivors’ social health needs, namely functional rehabilitation, social participation, and social interaction and recreation. …”
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A Retrospective Study on Amoxicillin Susceptibility in Severe Haemophilus influenzae Pneumonia by Pierre Danneels, Maria Concetta Postorino, Alessio Strazzulla, Nabil Belfeki, Aurelia Pitch, Frank Pourcine, Sebastien Jochmans, Vincent Dubée, Mehran Monchi, Sylvain Diamantis

“…AMC resistance was extremely low, suggesting that AMC could be used for empiric treatment of Hi pneumonia, as well as other molecules, namely, cephalosporins. Patients with Hi pneumonia had more pulmonary comorbidities and severe diseases than patients with Sp pneumonia.…”
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CSGD-YOLO: A Corn Seed Germination Status Detection Model Based on YOLOv8n by Wenbin Sun, Meihan Xu, Kang Xu, Dongquan Chen, Jianhua Wang, Ranbing Yang, Quanquan Chen, Songmei Yang

“…This study further proposes a new module named C2f-UIB-iAFF based on the faster implementation of cross-stage partial bottleneck with two convolutions (C2f), universal inverted bottleneck (UIB), and iterative attention feature fusion (iAFF) to replace the original C2f in YOLOv8, streamlining model complexity and augmenting the feature fusion prowess of the residual structure. …”
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A simple and efficient method to extract polar metabolites from guar leaves (Cyamopsis tetragonoloba (L.) Taub.) for GC-MS metabolome analysis by S. B. Teplyakova, A. L. Shavarda, T. V. Shelenga, E. A. Dzyubenko, E. K. Potokina

“…The method we suggested combines the advantages of the two above-mentioned approaches of sample preparation, namely eliminates the loss of metabolites due to centrifugation and ensures the complete destruction of all cell walls, ensuring the maximum extraction level of polar metabolites. …”
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Comparison of Labour Progression between Nulliparous Pregnant Women of Advanced Maternal Age and Young Nulliparous Women with Spontaneous Vaginal Delivery: A Retrospective Study in... by Ryosuke Arakaki, Wataru Isono, Hiroaki Fukuda, Junya Tanaka, Arisa Minamino, Shiko Hayashi

“…Data on the elapsed time between the recorded time of each stage of labour and the endpoint were obtained from two groups, namely, pregnant women of advanced maternal age and young pregnant women, and compared. …”
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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

“…This study addresses the limited use of signal decomposition in hybrid WT prediction models by proposing three methods: namely ensemble empirical mode decomposition (EEMD) on AdaBoost, long short-term memory (LSTM), and gated recurrent unit (GRU). …”
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The effect of educational programs on parents’ knowledge, behavior, and practices regarding aluminum phosphide poisoning and its first-aid measures by Mabrouka Attia Ali Nada, Ahmed Kamal Eldin Elsayed Elfeky, Hamida Ahmed Mustafa Darweesh, Farida Khalil Ibrahim Mohamed, Loujain Saud Sharif, Faten Shawky Kandil, Fatma Ahmed Elsobky, Samah Abdallah Mohamed Amer

“…Aluminum phosphide is traded in the Egyptian market as tablets under the brand name celphos. To date, no specific antidotes for aluminum phosphide poisoning have been identified. …”
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Construction of an Index System of the Biosafety Incident Response Capability for Nursing Staff: A Delphi Study by Chao Wu, Mengyi Hu, Xinyan Zhang, Mimi Fu, Lu Li, Qiang Xu, Xiaolan Guo, Hongjuan Lang

“…The final index system of the biosafety incident response competence was composed of four primary indicators, namely, biosafety incident preparedness, monitoring competence, protection ability and nursing disposal abilities; 10 secondary indicators and 49 tertiary indicators. …”
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Practice and application of learning curve theory in improving prescription review skills in standardized training for pharmacists in medical institutions by Jingjing Xu, Qin He, Min Xu, Kun Fu, Jiao Luo, Ying Ma, Xu Liu, Hen Xi

“…The prescription review practice learning process is divided into 10 stages, with 100 prescriptions in each stage. Three indicators, namely the time spent on the review operation (A1), the accuracy of the review result judgment (A2), and the proficiency of the review system operation (A3), are quantified. …”
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