Neoplasms in the Nasal Cavity Identified and Tracked with an Artificial Intelligence-Assisted Nasal Endoscopic Diagnostic System by Xiayue Xu, Boxiang Yun, Yumin Zhao, Ling Jin, Yanning Zong, Guanzhen Yu, Chuanliang Zhao, Kai Fan, Xiaolin Zhang, Shiwang Tan, Zimu Zhang, Yan Wang, Qingli Li, Shaoqing Yu

“…Using Deep Snake, U-Net, and Att-Res2-UNet, we developed a nasal neoplastic detection network based on endoscopic images. After deep learning, the optimal network was selected as the initialization model and trained to optimize the SiamMask online tracking algorithm. …”
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Deciphering the role of miRNA-mRNA interactions in cerebral vasospasm post intracranial hemorrhage by Xiang Chu, Xiang Chu, Xiyan Zhu, Honghao Xu, Wenbing Zhao, Debin Guo, Xing Chen, Jinze Wu, Lei Li, Hao Wang, Jun Fei

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New Insights into the Role of Inflammatory Pathways and Immune Cell Infiltration in Sleep Deprivation-Induced Atrial Fibrillation: An Integrated Bioinformatics and Experimental Stu... by Liang J, Tang B, Shen J, Rejiepu M, Guo Y, Wang X, Shao S, Guo F, Wang Q, Zhang L

“…The application of machine learning uncovered four crucial genes—CDC5L, MAPK14, RAB5A, and YBX1—with YBX1 becoming the predominant gene in diagnostic processes. …”
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Probabilistic nested model selection in pharmacokinetic analysis of DCE-MRI data in animal model of cerebral tumor by Hassan Bagher-Ebadian, Stephen L. Brown, Mohammad M. Ghassemi, Prabhu C. Acharya, Indrin J. Chetty, Benjamin Movsas, James R. Ewing, Kundan Thind

“…Approximately two hundred thirty thousand (229,314) normalized ΔR1 profiles of animals’ brain voxels along with their NMS results were used to build a K-SOM (topology-size: 8 × 8, with competitive-learning algorithm) and probability map of each model. …”
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Comprehensive pan-cancer analysis reveals NTN1 as an immune infiltrate risk factor and its potential prognostic value in SKCM by Fuxiang Luan, Yuying Cui, Ruizhe Huang, Zhuojie Yang, Shishi Qiao

“…To further elucidate the influence of genes on tumors, we utilized a variety of machine learning techniques and found that NTN1 is strongly linked to multiple cancer types, suggesting it as a potential therapeutic target. …”
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The interaction network and potential clinical effectiveness of dimensional psychopathology phenotyping based on EMR: a Bayesian network approach by Jianqing Qiu, Ting Zhu, Ke Qin, Wei Zhang

“…Therefore, we employed unsupervised learning to translate five domains of eRDoC scores derived from electronic medical records (EMR) of patients diagnosed with Major Depressive Disorder (MDD), Schizophrenia (SCZ), and Bipolar Disorder (BD) at West China Hospital between 2008 and 2021. …”
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The analysis of the notions of Russian school principals about digital transformation by A. A. Deryabin, I. E. Boytsov, A. A. Popov, P. D. Rabinovich, K. E. Zavedensky, I. S. Tsarkov

“…The challenge of the pandemic forced educational organisations in Russia to resort to massive transition to distance learning and accelerated digital transformation of schools. …”
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5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan, Habib Ullah Khan, Hathal Salamah Alwageed, Hussein Al Hashimi, Ismail Keshta

“…The proposed model includes state-of-the-art machine learning with traditional information security paradigms to offer an integrated solution to the emerging complex security issues related to 5G. …”
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Towards a sustainable set of European Core Health Indicators (ECHI) by Mariken J. Tijhuis, Eveline A. van der Wilk, Sarka Dankova, Angela Fehr, Silvia Ghirini, Mika Gissler, Romana Haneef, Heidi Lyshol, Emanuele Scafato, Stefanie Seeling, Hanna Tolonen, Thomas Ziese, Irisa Zīle-Velika, Peter W. Achterberg

“…The indicators allow for learning by comparison and the list supports the organisation of national health information systems. …”
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Characterizing immune biomarkers and effector CD8+ T-cell exhaustion in pancreatic adenocarcinoma via single-cell RNA sequencing profiling by Rawaa AlChalabi, Raghda Makia, Semaa A. Shaban, Ahmed AbdulJabbar Suleiman

“…Virtual screening using a deep learning framework, GNINA, explored the inhibitory features of the anti-inflammatory drugs oxaprozin and celecoxib on IL7R. …”
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Managing Water-Ecosystem-Food Nexus using participatory approaches: insights from an innovative methodological approach developed in two Mediterranean areas by Dimitrios Malamataris, Vassilios Pisinaras, Alessandro Pagano, Valentina Baratella, Silvia Vanino, Manuel Bea, Konstantinos Babakos, Anna Chatzi, Stefano Fabiani, Raffaele Giordano, Petros Kafkias, Estrella López-Moya, Christina Papadaskalopoulou, Ivan Portoghese, Dimitris Tassopoulos, Andreas Panagopoulos

“…This paper presents and analyses an effective stakeholder engagement strategy, based on the Learning & Action Alliances (LAA) scheme and aimed at identifying Water-Ecosystems-Food (WEF) Nexus challenges and selecting NbS in two case studies in the Mediterranean area (Greece and Italy). …”
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Patients with Age-related Macular Degeneration Have Increased Susceptibility to Valvular Heart Disease by Natan Lishinsky-Fischer, Itay Chowers, MD, PhD, Yahel Shwartz, MSc, Jaime Levy, MD

“…Moreover, a supervised machine learning model successfully detected the presence of AMD based solemnly on the patient’s history of VHD. …”
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The potential endocrine-disrupting of fluorinated pesticides and molecular mechanism of EDPs in cell models by Yalan Liu, Fengzhong Wang, Lin Li, Bei Fan, Zhiqiang Kong, Jianxin Tan, Minmin Li

“…Their actions are complex, affecting behavioral substances throughout the organism, and monitoring some complex biological phenotypes, sex- or age-specific effects, and behavioral learning poses significant challenges. The findings will serve as a reference for future studies on the toxicity of pesticides to humans and other organisms.…”
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Characteristics associated with career self-reliance behaviors of nurses working in nursing homes in Japan: A cross-sectional study by Ayako Nakayama, Junko Hoshino, Masashi Hotta, Mayuri Hashimoto, Naomi Furukawa

“…Conclusion: It is important for nurses working in nursing homes to enrich their nursing practice, continue learning, and be satisfied with their jobs to improve their career self-reliance. …”
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Differential effects of left DLPFC anodal and cathodal tDCS interventions on the brain in children with autism: A randomized controlled trial by Jiannan Kang, Juanmei Wu, Xinping Huang, Wenqin Mao, Xiaoli Li

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Experimental study and model prediction of the influence of different factors on the mechanical properties of saline clay by Hui Cheng, Lingkai Zhang, Chong Shi, Pei Pei Fan

“…The boundary point of the 2% salt content divides the effect of salt ions from promoting free water flow to blocking seepage channels, with the proportion of micropores being the primary influencing factor. (4) Employing statistical theory and machine learning algorithms, dry density, water content, and salinity are used to predict mechanical index values. …”
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Strengthening research preparedness for crises: lessons from Norwegian government agencies in using randomized trials and quasi-experimental methods to evaluate public policy inter... by Unni Gopinathan, Ingeborg Elgersma, Therese Dalsbø, Mona Bjørbæk, Atle Fretheim

“…For instance, the urgency of politicians to implement policies at scale has led to the discontinuation of trials and hindered learning from their effects. The surveyed agencies stressed the importance of legislation providing clear guidelines on when differential treatment can be justified and when informed consent requirements can be waived, as well as faster and clearer processes for managing privacy concerns related to data access. …”
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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy? by Wesam Rjoop, Anwar Rjoop, Alia Almohtaseb, Lama Bataineh, Zeina Nser Joubi, Maha Gharaibeh, Abdalrahman Al-Qwabah, Yousef Alasheh, Ismail Matalka

“…There is a need for continuous research to improve the diagnosis and treatment of breast lesions and reduce false-positive rates by incorporating other methodologies such as sonoelastography and incorporating deep learning and artificial intelligence in the decision-making to eliminate unnecessary procedures.…”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

“…In fact, the location of the food was chosen by learning algorithms, some of which endowed with artificial ToM. …”
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Comment acquérir une compétence d’oral spontané en situation d’apprentissage institutionnalisée by Günter Schmale

“…These communicative structures are described as lexicogrammatical constructions, i.e. syntactic frameworks whose ‘slots’ are more or less lexically provided and which serve as a basis for foreign language learning. To create motivation and ensure the long-term acquisition of these "constructions", it is necessary to apply a constructivist methodology.…”
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