Language-Based Engineering Considering the Trade-off among Words in Design Reflecting User’s Emotion by Nobuhisa KATSUMATA, Sonosuke HARADA, So FUKUHARA, Masao ARAKAWA, Shogo NAKAO, Masahiko FUJIWARA

“…We analyzed the relationship between user ratings and design elements using Quantification Theory Type I and created a database of these relationships. …”
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Features of the functioning of regional airports in the context of the development of the Russian air transportation market by I. N. Rykova, A. A. Alaev, R. S. Gubanov

“…The applied methods of monographic and economic-statistical analysis, rating assessment provided the identification of patterns of changes in the results of airport operations. …”
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Electrical Capacitance Probe Characterization in Vertical Annular Two-Phase Flow by Grazia Monni, Mario De Salve, Bruno Panella, Carlo Randaccio

“…The ECP is used to investigate a vertical air/water flow, characterized by void fraction higher than 95%, with mass flow rates ranging from 0.094 to 0.15 kg/s for air and from 0.002 to 0.021 kg/s for water, corresponding to an annular flow pattern. …”
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Construction and Validation of an Oxidative Phosphorylation Signature in High-Grade Glioma and Potential Inhibitors Screening by Hanwen Lu, Wenpeng Zhao, Bingchang Zhang, Yuanyuan Xie, Jiawei He, Huiying Yang, Zhanxiang Wang

“…Glioma is a devastating type of brain tumor with high morbidity and mortality rates. Despite current treatment options, the prognosis for glioma patients remains poor. …”
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Effective temperature in approximate quantum many-body states by Yu-Qin Chen, Shi-Xin Zhang

“…Our findings reveal a consistent exponential pattern in the energy eigenbasis decomposition contributions of approximate states across different ansatzes, optimization objectives, and quantum systems, characterized by remarkably small decay rates, i.e., high effective temperatures. …”
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Association of cancer and outcomes of patients hospitalized for COVID-19 between 2020 and 2023 [version 2; peer review: 1 approved, 2 approved with reservations, 1 not approved] by Robert F Terry, Rugiatu Z Kamara, Robert J Samuels, Donald S Grant, Sulaiman Lakoh, Mustapha Kabba, Innocent Nuwagira, Yusuf Sheku Tejan, Sia Morenike Tengbe, Ibrahim Franklyn Kamara, Shermarke Hassan, Abdulai Tejan Jalloh, Divya Nair, Laura Merson

“…Conclusions This study's findings underscore the heightened vulnerability of hospitalized COVID-19 patients with cancer, revealing a higher mortality rate, longer hospital stays, and an unstructured pattern of care that reflects the complexity of managing severely ill patients during a public health crisis like the COVID-19 pandemic.…”
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Identify suitable artificial groundwater recharge zones using hybrid deep learning models by Navaz Khalillollahi, Mohsen Isari, Hamed Faroqi, Kaywan Othman Ahmed, Kamran Nobakht Vakili, Miklas Scholz, Saad Sh. Sammeng

“…This study evaluated four deep learning models for delineating groundwater recharge zones: Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU), and hybrid deep learning Convolutional Neural Network-Gated Recurrent Unit (CNN-GRU). …”
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Habit-learning and decision-making circuits are susceptible to glycemic variability in type 2 diabetes: a longitudinal study by Carolina Moreno, Carolina Moreno, Carolina Moreno, Otília C. d’Almeida, Otília C. d’Almeida, Joana Crisóstomo, Nádia Canário, Leonor Gomes, Leonor Gomes, Leonor Gomes, Miguel Castelo-Branco, Miguel Castelo-Branco

“…Linear regression analysis showed that, for each increase of 1 mmol/L in MAGE value, the SPC of the temporal lobe decreases on average by 1.2% (higher atrophy rate).ConclusionThe relationship between longitudinal GM atrophy and GV has a regionally specific pattern, suggesting localized brain susceptibility to intra-daily glucose fluctuations. …”
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Using confidence, decision time, and confidence entropy to predict accuracy for online and real eyewitnesses by Adele Quigley-McBride, Rachel Leigh Greenspan

“…Confidence was measured in three ways: human-coded verbal statements, AI-classified verbal statements, and numeric ratings. We compared the correspondence between these confidence metrics, how multiple reflector variables relate to accuracy, and whether these patterns differ across two datasets. …”
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Verbal fluency tasks and attention problems in children with ADHD: evidence from fNIRS by Zouji Bian, Xiquan Ma, Yanhan Wang, Xiaodan Yu

“…Associations with the Swanson, Nolan, and Pelham Rating Scale (SNAP-IV) and Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-V) scores were examined.ResultsChildren with ADHD showed significantly lower DLPFC activation and widespread negative patterns compared to neurotypically developed peers (p < 0.05). …”
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Perceptions of canned wine drinkers in outdoor leisure settings: a vignette study with swiss residents by Nicolas Depetris Chauvin, Antoine Pinède, Heber Rodrigues

“…Our findings reveal that, overall, canned wine drinkers are judged negatively, particularly in the beach resort scenario, where traits like “health consciousness” and “environmental friendliness” are rated lower. Demographic factors, including age, gender, and education, as well as cultural background, significantly influence these judgements. …”
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Viral characterization of the reassortants between canine influenza H3N2 and human pandemic (2009) H1N1 and avian H9N2 viruses in canine ex vivo tracheal explants by Tonia T. Kam, Christine H. T. Bui, Hin-Wo Yeung, Peter C. H. Wong, Alex W. H. Chin, John M. Nicholls, Malik Peiris, Kenrie P. Y. Hui, Leo L. M. Poon, Michael C. W. Chan

“…Results Co-passaging H3N2-CIV with human/avian influenza A viruses in canine tracheal explants resulted in a high rate of reassortment. Plaque-purified reassortants were all viable and able to propagate in mammalian alveolar epithelial cells. …”
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IMPACT OF THE INFLAMMATORY AND ISCHEMIC HEART DISEASE MARKERS INTO THE OVERALL CARDIOVASCULAR MORTALITY IN SENILE CITIZENS OF A LARGE CITY (THE DATA FROM SAHR TRIAL) by S. A. Shalnova, S. E. Evstifeeva, A. D. Deev, V. A. Metelskaya, A. V. Kapustina, G. A. Muromtseva, Yu. A. Balanova, E. M. Tuaeva, A. E. Imajeva, N. V. Kiseleva, M. A. Shkolnikova

“…For the assessment of current subclinical inflammation we used high-sensititvity C-reactive protein (hsCRP), interleucine 6 (IL-6), fibrinogen (FG), leucocytes, erythrocyte sedimentation rate (ESR). For CHD screening, we used standard ROse questionnaire and ECG pattern by Minnesota coding. …”
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Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

“…For the gene family of voltage-gated sodium channels, where variants and expert-curated clinical phenotypes are available, we also assess whether phenotype patterns of multiple disorders for each gene are conserved across variant positions within the gene family. …”
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A clinico-epidemiological study, assessing possible predictors of mortality and health-related quality of life for people living with visceral leishmaniasis – human immune virus (V... by Niyamat Ali Siddiqui, Dhruv Kumar Pandey, Ashish Kumar Singh, Sanjay Kumar Sinha, Mohd. Zahid Ansari, Rishikesh Kumar, Biplab Pal, Vidya Nand Rabi Das, Rajatashuvra Adhikary, Saurabh Jain, Krishna Pandey

“…These patients have a poor VL therapeutic success rate, more drug-related toxicity, and relapses resulting in high mortality. …”
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Clinical characteristics and outcomes of COVID-19 in kidney transplant recipients by R. O. Kantariya, Ya. G. Moysyuk, E. I. Prokopenko, A. R. Karapityan, A. A. Ammosov, A. V. Makevnina, A. A. Gaydarova

“…The comparison study of the clinical pattern, laboratory and instrumental test results, treatment features and outcomes was made.Results. …”
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Clinical profiles of SS-ILD compared with SS-NILD in a Chinese population: a retrospective analysis of 735 patients by Ting Guo, Yaomei Long, Qinxue Shen, Wei Guo, Wang Duan, Xiaoli Ouyang, Hong Peng

“…NSIP (56.3%) was the most frequent HRCT pattern. Compared with pSS patients with ILD (pSS-ILD) patients, sSS patients with ILD (sSS-ILD) patients had a higher incidence of proteinuria (p < .001) and hypercreatinaemia (p = .013), a higher level of erythrocyte sedimentation rate (ESR) (p = .003), low levels of complement 3 (C3) (p = .013), lymphocytes (p = .009) and leukocytes (p = .024), and worse DLCO (%Pred) (p = .035).Conclusions ILD is a common pulmonary involvement in both pSS patients and sSS patients. …”
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Respiratory bacterial and viral pathogen spectrum among influenza-positive and influenza-negative patients by Jing Shi, Shi Han, Yating Zhang, Xiaohua Lu, Yunxia Gan, Narenqimuge Tong, Lu Ma, Hang Zhuan, Ying Dai, Yaqi Ji, Guoming Li, Dan Chen, Lu Yang

“…Influenza-positive patients had higher rates of S. pneumoniae and H. influenzae infections, while influenza-negative patients had higher rates of Human parainfluenza viruses and Human rhinoviruses. …”
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Seasonal population dynamics and dietary switching of Vulpes spp. amplify Echinococcus spp. transmission in the Eastern Tibetan plateau: implications for wildlife-mediated zoonotic... by Xu Wang, Chuizhao Xue, Xueying Deng, Qilu Chen, Chunyang Li, Baixue Liu, Ying Wang, Yan Kui, Qingqiu Zuo, Jianhai Yin, Shuai Han, Yujuan Shen, Jianping Cao

“…This dietary diversification correlated with seasonal resource scarcity, driving foxes to exploit alternative prey. The infection rates of Echinococcus in V. ferrilata displayed the U-shaped seasonal patterns. …”
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An interpretable XAI deep EEG model for schizophrenia diagnosis using feature selection and attention mechanisms by Ahmad Almadhor, Stephen Ojo, Thomas I. Nathaniel, Shtwai Alsubai, Abdullah Alharthi, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study proposes a novel automated technique for diagnosing Schizophrenia based on electroencephalogram (EEG) sensor data, aiming to enhance interpretability and prediction performance.MethodsThis research utilizes Deep Learning (DL) models, including the Deep Neural Network (DNN), Bi-Directional Long Short-Term Memory-Gated Recurrent Unit (BiLSTM- GRU), and BiLSTM with Attention, for the detection of Schizophrenia based on EEG data. …”
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