Targeted screening and single-cell analysis of genetic variants in melanoma using Mendelian randomization by Shi Li, Kaijiong Zhang, Guiji Zhang, Min Shi, Xing Yin, Bo Wang

“…Abstract Background This study utilizes Mendelian randomization to investigate melanoma’s epidemiological patterns and genetic variants for improved disease prevention and control. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…After feature extraction is completed, we further perform classification using a classifier based on a bidirectional gated recurrent unit (GRU) network, which is able to efficiently process sequence data and reduce computational complexity while capturing temporal dependencies in the sequences. …”
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Analysis of Drug-Resistant Bacteria Seasonality in Japan Using Financial Time Series Analysis Method: A Nationwide Longitudinal Study by Hiroshi Ito, Jura Oshida, Minori Fujita, Daiki Kobayashi

“…Smaller hospitals showed higher resistance rates, likely because of limited antimicrobial stewardship resources, underscoring the need for targeted interventions in these settings. …”
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Emotional and visual responses to trypophobic images with object, animal, or human body backgrounds: an eye-tracking study by Pengfei Yu, Li Yu, Li Yu, Yuting Li, Cheng Qian, Jia Hu, Weiyi Zhu, Fang Liu, Fang Liu, Qi Wang, Qi Wang, Qi Wang

“…Finally, participants rated the image’s disgust and arousal levels using a self-assessment rating scale. …”
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Thalamic nuclei volumes are related to disease stage in patients with amyotrophic lateral sclerosis by Tianrui Wen, Tianrui Wen, Jun Zhu, Jun Zhu, Sujuan Sun, Sujuan Sun, Yujing Chen, Yujing Chen, Ninglu Gao, Ninglu Gao, Mingjie Ma, Xinyue Chen, Shuangwu Liu, Shuangwu Liu, Pengfei Lin, Yan Deng

“…We investigated patterns of thalamic atrophy in the patients and in 94 healthy controls (HCs). …”
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Enhancing agricultural commodity price forecasting with deep learning by R. L. Manogna, Vijay Dharmaji, S. Sarang

“…The results indicate that deep learning models, particularly Long Short-Term Memory (LSTM) networks and Gated Recurrent Units (GRU), demonstrate superior performance in capturing complex temporal patterns. …”
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Variations in healthcare utilization for mental health problems prior to suicide by socioeconomic status: a Norwegian register-based population study by Carine Øien-Ødegaard, Solveig Tobie Glestad Christiansen, Lars Johan Hauge, Kim Stene-Larsen, Sissel Marguerite Bélanger, Espen Bjertness, Anne Reneflot

“…Notably, the SES groups exhibit heterogeneity, with gendered patterns. Targeted interventions for low consultation rates among employed men, and men with high income and lower education are needed, while women, and men in at-risk groups, such as the non-employed and those with low income, demonstrate higher mental healthcare utilization, warranting comprehensive suicide prevention measures.…”
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Eyes in the wild: Thelazia callipaeda in wild carnivores of Croatia by Ema Gagović, Šimun Naletilić, Daria Jurković Žilić, Željko Mihaljević, Adnan Hodžić, Relja Beck

“…The infections were geographically restricted to continental regions, with the highest prevalence recorded in eastern counties. Seasonal patterns were evident in red foxes, where infection rates and reproductive activity peaked in autumn and winter. …”
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Comparative transcriptome analysis reveals various host responses to sacbrood virus infection in Apis cerana and Apis mellifera by Zih-Ting Chang, Yu-Feng Huang, Tzu-Han Chen, Li-Hung Chen, Chung-Yu Ko, Yu-Shin Nai, Yue-Wen Chen

“…Notably, following dsRNA treatment, the core genes Dpp, Yellow-f, RPA2, and Pyruva in A. cerana/AcSBV-AC group exhibited an inverse regulation trend, indicating that inhibiting AcSBV-AC can reverse the host core genes expression patterns and potentially enhance larval survival rates. …”
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Epidemiological and Socioeconomic Disparities in the 1742–1743 Epidemic: A Comparative Analysis of Urban Centers and Indigenous Populations Along the Royal Road by Jorge Hugo Villafañe

“…Recognizing these historical patterns of adaptation can inform present and future public health strategies. …”
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Unraveling the Mechanistic Links Between Species Diversity and Infection Risk From Zoonotic Pathogens With Direct Transmission Among Reservoir Hosts: Rodent‐Orthohantavirus Systems... by Andreas Eleftheriou, Angela D. Luis

“…ABSTRACT To explain patterns between anthropogenic loss of species diversity and the rise in the number of novel zoonotic diseases, the “dilution effect” hypothesis predicts that with lower species diversity, infection risk will increase. …”
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Comprehensive multi-omics analysis of histone acetylation modulators identifies ASH1L as a novel aggressive marker for osteosarcoma by Chenlie Ni, Qiwen Sun, Haibo Yin

“…Methods The expression patterns, prognostic implications, and clinical correlations of HAMRPs in osteosarcoma were analyzed using the TARGET, GEO, TISCH, and HPA databases. …”
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Positioning of Chinese time nouns and adverbs: Evidence from corpus, acceptability, and processing studies. by Jia Yi Chen, Ying Su, Katsuo Tamaoka

“…Sentences in which time nouns followed the subject were rated as more acceptable and supported the canonical word order, whereas pre-subject time nouns were acceptable mainly in topicalized contexts. …”
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Economic growth and urban metamorphosis: A quarter century of transformations within the metropolitan area of Bucharest by Cristian Tosa, Andrei Mitrea, Hitomi Sato, Tomio Miwa, Takayuki Morikawa

“…Lately, these patterns have become manifest in Bucharest as well. …”
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A Data-Driven Analysis of Engineering Contract Risk Characterization Based on Judicial Cases of Disputes by Yongcheng Zhang, Ziyi Wu, Chaohua Xiong, Jianwei Wang, Maxwell Fordjour Antwi-Afari

“…The research identifies contractual risk characteristics across dimensions such as regional distribution, dispute terminology, legal citation patterns, and appellate role transitions. The key findings include the following: (1) Primary risks involve payment disputes, quality assurance failures, contractual validity issues, and schedule compliance challenges. (2) Litigation patterns reveal complex interdependencies between contracting parties and stakeholders, posing significant risk management challenges. (3) High second-instance modification rates stem from procedural irregularities, new evidence, improper legal application, and factual errors in initial trials. …”
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Environmental Factors Driving the Seasonal Dynamics of <i>Ixodes ricinus</i> and <i>Dermacentor reticulatus</i> in Eastern Poland by Aneta Woźniak, Zbigniew Zając, Joanna Kulisz

“…This study investigated their seasonal activity in Eastern Poland, a region with one of the highest incidence rates of tick-borne diseases nationwide. Additionally, we examined tick habitat preferences and the impact of abiotic factors on their activity patterns. …”
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A novel model for accurate and fast prediction of cancer incidence by Mahmoud Hamed, Berlanty A. Zayed, Fotouh R. Mansour

“…The high degree of similarity between the actual and predicted cancer incidence rates was notable. Similar results were obtained when predicting cancer incidence rates in the countries studied. …”
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Mitochondrial methylation is linked to sexually dimorphic growth in Nile tilapia (Oreochromis niloticus) by Partha Sarathi Tripathy, Partha Sarathi Tripathy, Prabhugouda Siriyappagouder, Artem Valeryevich Nedoluzhko, Artem Valeryevich Nedoluzhko, Ioannis Konstantinidis, Soumya Shephalika Dash, Bijay Kumar Behera, Janmejay Parhi, Kaja Skjærven, Francesc Piferrer, Jorge Manuel de Oliveira Fernandes, Jorge Manuel de Oliveira Fernandes

“…We found significant differences in mtDNA methylation, with males exhibiting higher growth rates and distinct methylation patterns in genes related to the electron transport chain, such as ND5, ATP6 and CYTB. …”
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Mutual Investments Funds in Shares in Brazil : Incentives, Management and Convergence by Paulo Rogério Faustino Matos, Christiano Modesto Penna, Ana Balbina Gomes Silva

“…This article analy zes patterns of convergence in series of return of investment funds in shares in Brazil, from the use of the methodology of Phillips and Sul (2007). …”
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Organ-system-based subclassification of preeclampsia using machine learning predicts pregnancy outcomes by Yanhong Xu, Yizheng Zu, Xiaosi Lu, Yiping Wang, Jiaying Zheng, Xia Xu, Jianying Yan

“…K-Cluster 1 and K-Cluster 5 showed distinct biomarker patterns but similar complication rates (P > 0.05). …”
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