Relation between occupation, gender dominance in the occupation and workplace and suicide in Sweden: a longitudinal study by Gun Johansson, Theo Bodin, Anette Linnersjö, Vladimir Carli, Gergö Hadlaczky, Nuria Matilla Santander, Bianca Blazevska

“…In terms of gender dominance in the occupation, borderline associations with increased suicide risk were found for men in both male-dominated (OR: 1.32, 95% CI: 0.98 to 1.79) and female-dominated (OR: 1.37, 95% CI: 0.99 to 1.91) occupations. For women, borderline increased risk of suicide was found in female-dominated occupations (OR: 1.51, 95% CI: 0.95 to 2.40). …”
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Adding salt to foods and risk of incident depression and anxiety by Weiwei Wang, Xiaotian Chang, Feifei Lin, Lei Feng, Mengying Wang, Jie Huang, Tao Wu

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Codon usage patterns and genomic variation analysis of chloroplast genomes provides new insights into the evolution of Aroideae by Xinbi Jia, Jiaqi Wei, Yuewen Chen, Chenghong Zeng, Chan Deng, Pengchen Zeng, Yufei Tang, Qinghong Zhou, Yingjin Huang, Qianglong Zhu

“…The results showed that the codon third position of the chloroplast genome coding sequence in Aroideae was rich in A and T, with a GC content of 37.91%. The ENC-plot and PR2-plot revealed that the codon usage bias of Aroideae was influenced by multiple factors, with natural selection as the dominant factor. …”
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The water quality of the Upper Citarum: Applying the overall index of pollution, Said-WQI, and pollution index methods by Mariana Marselina, Nurul Aulia Rahmi, Siti Ai Nurhayati

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The role of Artificial Intelligence in detecting breast lesions using ultrasound by Daria Ziemińska, Karina Motolko, Rafał Burczyk, Konrad Duszyński, Elżbieta Tokarczyk, Martyna Michalska, Adam Łabuda

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Discrimination between the facial gestures of vocalising and non-vocalising lemurs and small apes using deep learning by Filippo Carugati, Olivier Friard, Elisa Protopapa, Camilla Mancassola, Emanuela Rabajoli, Chiara De Gregorio, Daria Valente, Valeria Ferrario, Walter Cristiano, Teresa Raimondi, Valeria Torti, Brice Lefaux, Longondraza Miaretsoa, Cristina Giacoma, Marco Gamba

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Modelling pre-Hispanic settlement patterns in Alto de Toche, Colombia by César Augusto Velandia, Daniel Ramírez, Jhony Carvajal, David Bejarano

“…A DEM of the settlement pattern projected 37 possible new terraces. The resulting map is accessible in an ArcGIS-online web application. …”
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Clinical Outcomes and Patterns of Traumatic Injuries Associated with Subway Incidents at a Level 1 Trauma Center by Bharti Sharma, Aubrey May B. Agcon, George Agriantonis, Sittha Cheerasarn, Navin D. Bhatia, Zahra Shafaee, Jennifer Whittington, Kate Twelker

“…Patients were identified using International Classification of Diseases (ICD) injury descriptions and Abbreviated Injury Scale (AIS) body regions. …”
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Investigating misclassification of type 1 diabetes in a population-based cohort of British Pakistanis and Bangladeshis using polygenic risk scores by Timing Liu, Alagu Sankareswaran, Gordon Paterson, Genes & Health Research Team, Diane P. Fraser, Sam Hodgson, Qin Qin Huang, Teng Hiang Heng, Meera Ladwa, Nick Thomas, David A. van Heel, Michael N. Weedon, Chittaranjan S. Yajnik, Richard A. Oram, Giriraj R. Chandak, Hilary C. Martin, Sarah Finer

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A Comparative Analysis of Spatial Resolution Sentinel-2 and Pleiades Imagery for Mapping Urban Tree Species by Fabio Recanatesi, Antonietta De Santis, Lorenzo Gatti, Alessio Patriarca, Eros Caputi, Giulia Mancini, Chiara Iavarone, Carlo Maria Rossi, Gabriele Delogu, Miriam Perretta, Lorenzo Boccia, Maria Nicolina Ripa

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Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators by Jacob Beck, Lukas Malte Kemeter, Konrad Durrbeck, Mohamed Hesham Ibrahim Abdalla, Frauke Kreuter

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Increased serum ferritin is associated with severity of orbital disease in COVID-19–associated rhino-orbito-cerebral mucormycosis: A quantitative analysis by Shashi Tanwar, Nibha Mishra, Prachi Sharma, Apjit Kaur

“…Methods: Hundred (n) out of 155 treatment-naive patients of COVID-19 infection presenting with the signs and symptoms of rhino-orbito-cerebral mucormycosis were enrolled in study. Based on the classification proposed by Honavar, the study patients were classified into four stages: Stage 1: involvement of the nasal mucosa (n = 11), Stage 2: involvement of paranasal sinuses (n = 14), Stage 3: involvement of the orbit (n = 37), Stage 4: involvement of the central nervous system (n = 38). …”
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Design and Development of a Web‐Based Registry for Outpatient Rehabilitation: A Delphi Multi‐Disciplinary, Expert Consensus Study by Seyyedeh Fatemeh Mousavi Baigi, Masoumeh Sarbaz, Davood Sobhani‐Rad, Salman Nazary‐Moghadam, Javad Heravian Shandiz, Kosar Ghaddaripouri, Reyhane Norouzi Aval, Khalil Kimiafar

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Immunometabolic alterations in type 2 diabetes mellitus revealed by single-cell RNA sequencing: insights into subtypes and therapeutic targets by Huahua Li, Lingling Zou, Zhaowei Long, Junkun Zhan, Junkun Zhan

“…Significant metabolic diversity within T cell subpopulations led to the classification of patients with T2DM into three distinct subtypes (A-C), with HC grouped as D. …”
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Artificial intelligence driven cyberattack detection system using integration of deep belief network with convolution neural network on industrial IoT by Mahmoud Ragab, Mohammed Basheri, Nasser N. Albogami, Alanoud Subahi, Omar A. Abdulkader, Hashem Alaidaros, Hassan Mousa, Abdullah AL-Malaise AL-Ghamdi

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Screen Guided Training Does Not Capture Goal-Oriented Behaviors: Learning Myoelectric Control Mappings From Scratch Using Context Informed Incremental Learning by Evan Campbell, Ethan Eddy, Xavier Isabel, Scott Bateman, Benoit Gosselin, Ulysse Cote-Allard, Erik Scheme

“…Sixteen participants completed a Fitts&#x2019; Law targeting task using these control schemes, with performance measured via online throughput and offline classification accuracy. Despite lower offline accuracy, the ZS-A model achieved the highest online throughput (<inline-formula> <tex-math notation="LaTeX">$1.47~\pm ~0.46$ </tex-math></inline-formula> bits/s), significantly outperforming the SGT baseline (<inline-formula> <tex-math notation="LaTeX">$1.15~\pm ~0.37$ </tex-math></inline-formula> bits/s) and reached competitive performance within 200 seconds. …”
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Dutch Validation of the Self-Evaluation of Negative Symptoms Scale (SNS) by Tim van Brouwershaven, Anika Poppe, Gerdina Hendrika Maria Pijnenborg, André Aleman, Nynke Boonstra, Shiral Gangadin, Sonia Dollfus, Wim Veling, Stynke Castelein, Jan Alexander de Vos, Edith Liemburg, PHAMOUS-researchers, Lisette van der Meer

“…Methods: The SNS was added to the Pharmacotherapy Monitoring Outcome Survey (PHAMOUS)-protocol for adults with a DSM-5 classification of a disorder in the psychosis spectrum. …”
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Dependence of Water Vapour Adsorption on the Polarity of the Graphene Surfaces of Multi-Wall Carbon Nanotubes by Robert H. Bradley, Aurik Andreu, Kelby Cassity, Susan Osbeck, Rodney Andrews, Mark Meier, Colin Johnston

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Lightweight Deep Learning Model, ConvNeXt-U: An Improved U-Net Network for Extracting Cropland in Complex Landscapes from Gaofen-2 Images by Shukuan Liu, Shi Cao, Xia Lu, Jiqing Peng, Lina Ping, Xiang Fan, Feiyu Teng, Xiangnan Liu

“…Under the same conditions, ConvNeXt-U has a faster inference speed of 37 images/s, compared to 28 images/s for Swin Transformer, 35 images/s for MobileNetV3, and 0.43 and 0.44 images/s for VGG16 and ResUnet, respectively. …”
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Klasifikasi Intensi dengan Metode Ling Short-Term Memory pada Chatbot Bahasa Indonesia by Faiz Aulia Al Farisi, Rizal Setya Perdana, Putra Pandu Adikara

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