HMGB-1 as a predictor of major bleeding requiring activation of a massive transfusion protocol in severe trauma by Michal Frelich, Marek Bebej, Jan Pavlíček, Filip Burša, Vojtěch Vodička, Zdeněk Švagera, Adéla Kondé, Ondřej Jor, Markéta Bílená, Tereza Romanová, Peter Sklienka

“…From July 11, 2019, to April 23, 2022, a total of 104 consecutive adult patients with severe trauma (injury severity score > 16) were enrolled. A blood sample was taken at admission, and HMGB-1 was measured. …”
Get full text

Design and Validation of Policy Making Model with Open Government Approach by Zahra Mohammadi, Abdolmajid Imani, Farahnaz Ahang

“…The dimensions of open government were classified into four main categories: transparency, participation, cooperation, and open data. …”
Get full text

Disturbed sleep after lung transplantation is associated with worse patient-reported outcomes and chronic lung allograft dysfunction by Aric A. Prather, PhD, Ying Gao, MS, Legna Betancourt, BS, Rose C. Kordahl, BS, Anya Sriram, BS, Chiung-Yu Huang, PhD, Steven R. Hays, MD, Jasleen Kukreja, MD, Daniel R. Calabrese, MD, Aida Venado, MD, Bhavya Kapse, PhD, John R. Greenland, MD, PhD, Jonathan P. Singer, MD, MS

“…Potential perioperative risk factors for disturbed sleep were derived from medical records. We investigated associations between perioperative predictors on SPI and insomnia and associations between SPI and insomnia on PROs and frailty by linear regressions, adjusting for age, sex, and lung function. …”
Get full text

The ASK-16 motorized glider: an airborne eddy covariance platform to measure turbulence, energy, and matter fluxes by I. Wiekenkamp, A. K. Lehmann, A. Bütow, J. Hartmann, S. Metzger, S. Metzger, T. Ruhtz, C. Wille, M. Zöllner, T. Sachs, T. Sachs

“…This study describes the measurement setup of the platform and explains the workflows that were used to calculate and calibrate the 3D wind vector, turbulent fluxes, and their associated source areas. …”
Get full text

Diagnostic accuracy of calculated serum osmolarity to predict dehydration in older people: adding value to pathology laboratory reports by Lee Shepstone, John F Potter, Lee Hooper, Asmaa Abdelhamid, Amy Jennings, Paul R Hunter, W Garry John, Neil P Walsh, Adam Ali, Diane K Bunn, Susan Kerry, Gregor Lindner, Carmen A Pfortmueller, Fredrik Sjöstrand, Susan J Fairweather-Tait

“…Objectives To assess which osmolarity equation best predicts directly measured serum/plasma osmolality and whether its use could add value to routine blood test results through screening for dehydration in older people.Design Diagnostic accuracy study.Participants Older people (≥65 years) in 5 cohorts: Dietary Strategies for Healthy Ageing in Europe (NU-AGE, living in the community), Dehydration Recognition In our Elders (DRIE, living in residential care), Fortes (admitted to acute medical care), Sjöstrand (emergency room) or Pfortmueller cohorts (hospitalised with liver cirrhosis).Reference standard for hydration status Directly measured serum/plasma osmolality: current dehydration (serum osmolality >300 mOsm/kg), impending/current dehydration (≥295 mOsm/kg).Index tests 39 osmolarity equations calculated using serum indices from the same blood draw as directly measured osmolality.Results Across 5 cohorts 595 older people were included, of whom 19% were dehydrated (directly measured osmolality >300 mOsm/kg). …”
Get full text

Territorios rurales en transformación: desafíos y oportunidades frente al reto de la despoblación by Néstor Vercher

“…Efectivamente, la crisis de la agricultura y la ganadería aceleró el abandono de explotaciones ya durante los años 60 y 70 del siglo pasado (como también puede verse en la imagen), reduciendo las oportunidades económicas. …”
Get full text

Territorios rurales en transformación: desafíos y oportunidades frente al reto de la despoblación by Néstor Vercher

“…Efectivamente, la crisis de la agricultura y la ganadería aceleró el abandono de explotaciones ya durante los años 60 y 70 del siglo pasado (como también puede verse en la imagen), reduciendo las oportunidades económicas. …”
Get full text

Accessible model predicts response in hormone receptor positive HER2 negative breast cancer receiving neoadjuvant chemotherapy by Luca Mastrantoni, Giovanna Garufi, Giulia Giordano, Noemi Maliziola, Elena Di Monte, Giorgia Arcuri, Valentina Frescura, Angelachiara Rotondi, Armando Orlandi, Luisa Carbognin, Antonella Palazzo, Federica Miglietta, Letizia Pontolillo, Alessandra Fabi, Lorenzo Gerratana, Sergio Pannunzio, Ida Paris, Sara Pilotto, Fabio Marazzi, Antonio Franco, Gianluca Franceschini, Maria Vittoria Dieci, Roberta Mazzeo, Fabio Puglisi, Valentina Guarneri, Michele Milella, Giovanni Scambia, Diana Giannarelli, Giampaolo Tortora, Emilio Bria

“…The machine learning (ML) models were trained to predict pCR (n = 463), evaluated in an internal validation cohort (n = 109) and validated in an external validation cohort (n = 151). …”
Get full text

Blue elixir of youth and wellness: The multicomponent-multitarget paradigm of Curcuma caesia Roxb by Sabrina Burattini, Federico Gianfanti, Francesco Onesimo, Sabrina Donati Zeppa, Barbara Canonico, Mariele Montanari, Giovanna Panza, Daniele Lopez, Giosuè Annibalini, Fabiana Fanelli, Roberta Saltarelli, Michele Mari, Michele Retini, Riham Osman, Aghna Mariam, Matteo Micucci, Giovanni Caprioli, Agnese Santanatoglia, Deborah Agostini, Michela Battistelli

“…Human immortalized keratinocyte cell lines (HaCaT) were treated with CCRE in healthy and UVB-induced conditions to assess their impact on oxidative stress and aging. …”
Get full text

Évaluation de la prescription et de l’utilisation des benzodiazépines dans la ville de Sidi Bel-Abbès by Derouicha Matmour, Mounia Medjeber, Yassine Merad

“…Data entry and analysis were performed using SPSS software. Results-A total of 353 patients treated with at least one BZD were included, including 178 men. …”
Get full text

Implementasi Algoritma Catboost Dan Shapley Additive Explanations (SHAP) Dalam Memprediksi Popularitas Game Indie Pada Platform Steam by Mohammad Teddy Syamkalla, Siti Khomsah, Yohani Setya Rafika Nur

Get full text

Machine learning analysis of pathological images to predict 1-year progression-free survival of immunotherapy in patients with small-cell lung cancer by Hirotaka Matsumoto, Hiroaki Akamatsu, Nobuyuki Yamamoto, Yuki Sato, Daichi Fujimoto, Yoshihiko Taniguchi, Motohiro Tamiya, Yasuhiro Koh, Junya Fukuoka, Hisashi Tanaka, Naoki Furuya, Ryota Shibaki, Tsukasa Nozawa, Akira Sano, Yuka Kitamura, Takashi Kijima, Toshihide Yokoyama, Satoru Miura, Akito Hata, Jun Sugisaka

“…The mean AUC values of patient information, pathological image, and combined models were 0.789 (range 0.571–0.982), 0.782 (range 0.750–0.911), and 0.868 (range 0.786–0.929), respectively. …”
Get full text

Analisis Kepuasan Pengguna Aplikasi Sidawai Menggunakan End User Computing Statisfaction (EUCS) DAn Importance Performance Analysis (IPA) by Kiki Haerani, Khairul Imtihan, Wafiah Murniati

“…To measure the accuracy of the questionnaire instrument, validity and reliability tests were carried out by involving experts who understand related to the SIDAWAI Application. …”
Get full text

Causal role of plasma liposome in diabetic retinopathy: mendelian randomization (MR) study by Kai Yin, Lu Ding, Xueyan Li, Yuqi Zhang, Siyu Song, Liyuan Cao, Ruixue Deng, Min Li, Zirui Li, Qinjing Xia, Daqing Zhao, Xiangyan Li, Zeyu Wang

“…Methods Summary statistics for lipid levels and DR were obtained from the Genome-Wide Association Studies (GWAS) Catalog database and the FinnGen Consortium, respectively. …”
Get full text

Inflammatory Gene Signature Identified by Machine Algorithms Reveals Novel Biomarkers of Coronary Artery Disease by Liu X, Zhang Y, Wang Y, Xu Y, Xia W, Liu R, Xu S

“…Then, the receiver operating characteristic (ROC) curves were plotted for each DIRG, and those with an area under the curve (AUC) greater than 0.9 were selected for subsequent analysis. …”
Get full text

SO₂ emissions derived from TROPOMI observations over India using a flux-divergence method with variable lifetimes by Y. Chen, Y. Chen, R. J. van der A, J. Ding, H. Eskes, J. E. Williams, N. Theys, A. Tsikerdekis, P. F. Levelt, P. F. Levelt, P. F. Levelt

Get full text

A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery by Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang

“…Results 104 patients were enrolled in the study, and the median OS was 15.5 months, the 0.5-, 1-, and 2- years OS were 81.7%, 57.7%, and 30.8%, respectively. …”
Get full text

The role of the TAPSE/sPAP ratio as a predictor of mortality in Pulmonary Arterial Hypertension: Its value for patient risk stratification by Paul Palacios-Moguel, MD, Guillermo Cueto-Robledo, MD, Héctor González-Pacheco, MD, Jorge Ortega-Hernández, MD, María Berenice Torres-Rojas, MD, Dulce Iliana Navarro-Vergara, MD, Marisol García-Cesar, MD, Cinthia Alejandra González-Nájera, MD, Carlos Alfredo Narváez-Oríani, MD, Julio Sandoval, MD

“…Methods: 156 patients with PAH were included. Clinical, functional, echocardiographic, and haemodynamic variables, along with the TAPSE/sPAP ratio, were analysed based on etiological PAH subgroups and outcomes. …”
Get full text

Investigating the Role of Artificial Intelligence Enablers and Companies' Readiness in Adopting an Artificial Intelligence-integrated Customer Relationship Management System by Soheila Mohammadzadeh Vanestan, Rahim Abedi

“…To test the research hypotheses, structural equations were tested using a partial least squares approach, employing the third version of SMART-PLS software. …”
Get full text

Insulin resistance surrogates are associated with all-cause mortality and cardiovascular mortality in population with metabolic syndrome: a retrospective cohort study of NHANES by Jinhao Liao, Linjie Wang, Lian Duan, Fengying Gong, Huijuan Zhu, Hui Pan, Hongbo Yang

“…Sensitivity analyses were then conducted by removing individuals with CKD, CHF, CAD, stroke, or cancer, respectively. …”
Get full text