Sea-land climate gradient: a factor influencing vegetation phenology patterns in Yellow River Delta region by Ruyun Liu, Quanzhou Yu, Yujie Liu, Junjie Chen, Tianquan Liang, Qingxin Tang, Yongjin Chen, Jicai Ning, Zhenguo Niu, Shaoqiang Wang

Get full text

Construction and evaluation of a nomogram model for predicting the risk of hospital-acquired pneumonia in elderly patients with acute ischemic stroke by Man Huang, Wan Wang, Wu-lin Li, Yan-qing Chen, Xian-ting Chen, Ye Liu, Yan Li, Dong-mei Ren, Fei Wang

Get full text

A single-center experience in home management of mild and moderate COVID-19 cases by Mohamed T Hegazy, Hoda M Abdel-Hamid, Amany A Salem, Fady Nagy, Sobhi E Rizk, Hadeel Abd El Wahab, Ibrahim Naguib, Hany El Assaly, Hala M Farwaela, Mohamed A Morad, Mohamed Mortagy, Hend Attia, Ibrahim Elebrashy, Mervat Mattar, Maha H E-D Ibrahim

Get full text

Epidemiological and clinical features of lymphoproliferative diseases in the head and neck region by F. Sh. Kamolova, A. M. Mudunov, P. A. Zeynalova, L. Yu. Grivtsova, G. F. Allakhverdieva, R. I. Azizyan, A. A. Akhundov, I. A. Zaderenko, M. V. Bolotin, D. K. Stelmakh, V. I. Sokorutov, K. D. Il’kaev, V. T. Tsiklauri, I. M. Gelfand, M. B. Pak, O. L. Timofeeva, Yu. E. Ryabukhina, F. M. Abbasbeyli, Ts. Chzhao

Get full text

Machine learning models for prediction of lymph node metastasis in patients with gastric cancer: a Chinese single-centre study with external validation in an Asian American populat... by Qian Li, Yuan Tian, Wei Peng, Shangcheng Yan, Weiran Yang, Zhuan Du, Ming Cheng, Renwei Chen, Qiankun Shao, Mengchao Sheng, Yongyou Wu

Get full text

Association of 15 common dietary factors with tinnitus: a systematic review and meta-analysis of observational studies by Xi Chen, Lu Wang, Mengni Zhang, Hanyu Wang, Li Fu, Qinxiu Zhang, Xiaocui Wang, XinRong Li, Xinyi He, Shipeng Zhang, Qinwei Fu, Yanjie Jiang

Get full text

Spatiotemporal Distribution and Influencing Factors of Carbon Storage in Chongming Coastal Wetlands by HAN Zhen, WENG Xuan, ZHOU Yi, HANG Jun, CHEN He, GU Wei

Get full text

Spatial Localization of Broadleaf Species in Mixed Forests in Northern Japan Using UAV Multi-Spectral Imagery and Mask R-CNN Model by Nyo Me Htun, Toshiaki Owari, Satoshi N. Suzuki, Kenji Fukushi, Yuuta Ishizaki, Manato Fushimi, Yamato Unno, Ryota Konda, Satoshi Kita

Get full text

Diversity of Gracilariaceae (Gracilariales, Rhodophyta) Across Distinct Ecosystems in Zhanjiang, China: A Foundation for Screening Potential Cultivable Species in Southern China by Zhaojun Zeng, Enyi Xie, Huaqiang Tan, Xuefeng Wang, Wencheng Yang, Nenghui Li, Qun Lai, Kun Lin, Manning Lei, Xinlu Wu, Jianjun Cui

Get full text

Painting the diversity of a world's favorite fruit: A next generation catalog of cultivated bananas by Julie Sardos, Alberto Cenci, Guillaume Martin, Catherine Breton, Valentin Guignon, Ines Van den Houwe, Yaleidis Mendez, Gabriel L. Sachter‐Smith, Rachel Chase, Max Ruas, Ronan Rivallan, Janet Paofa, William Wigmore, David Tilafono Hunter, Angélique D'Hont, Nabila Yahiaoui, Christophe Jenny, Xavier Perrier, Nicolas Roux, Mathieu Rouard

Get full text

Impact of first-line tyrosine kinase inhibitor selection on survival outcomes with second-line nivolumab in metastatic renal cell carcinoma by Omer Faruk Kuzu, Hatice Bolek, Elif Sertesen Camoz, Hilal Karakas, Serhat Sekmek, Saadet Sim, Selver Isık, Murat Günaltılı, Aysun Fatma Akkus, Deniz Tural, Cagatay Arslan, Sema Sezin Goksu, Ozlem Nuray Sever, Cengiz Karacin, Mehmet Ali Nahit Sendur, Nuri Karadurmus, Emre Yekedüz, Yüksel Ürün

Get full text

Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report by Pieter Meysman, Justin Barton, Barbara Bravi, Liel Cohen-Lavi, Vadim Karnaukhov, Elias Lilleskov, Alessandro Montemurro, Morten Nielsen, Thierry Mora, Paul Pereira, Anna Postovskaya, María Rodríguez Martínez, Jorge Fernandez-de-Cossio-Diaz, Alexandra Vujkovic, Aleksandra M. Walczak, Anna Weber, Rose Yin, Anne Eugster, Virag Sharma

“…This benchmark revealed that the use of paired-chain alpha-beta, as well as CDR1/2 or V/J information, when available, improves classification obtained with CDR3 data, independent of the underlying approach. …”
Get full text

Hypovitaminosis D in patients with oral leukoplakia: insights from a cross-sectional study by Andrea Maturana-Ramirez, Andrea Maturana-Ramirez, Juan Aitken-Saavedra, Dante Mora-Ferraro, Gabriel Rojas-Zúñiga, Iris Espinoza-Santander, Gonzalo Rojas-Alcayaga, Ana Ortega-Pinto, Montserrat Reyes, Diego Lazo, Egardo Caamanão

“…In both groups a pathology report was done, and for leukoplakia a binary classification of low- and high-grade epithelial dysplasia was employed. …”
Get full text

Comparison of circulating immune signatures across different consensus molecular subtypes (CMS) and between left- and right-sided lesions in stage II colorectal cancer using single... by Pin Gao, Chuanyong Zhou, Hong Yang, Shunyu Deng, Beihai Jiang, Zaozao Wang, Jiabo Di, Xiangqian Su

“…We then compared the immune cell phenotypes and frequencies based on tumor location and CMS classification in patients with stage II CRC. Wilcoxon test was employed to compare the mean frequencies of cell clusters between different tumor locations. …”
Get full text

External Validation of the International Staging Collaboration for Cancer of the Prostate (STAR-CAP) Prognostic System in Patients Managed with Active Surveillance by Alejandro Berlin, Matthew Ramotar, Antonio Finelli, Zhihui Liu, Liying Zhang, Laurence Klotz, Andrew Loblaw, Danny Vesprini

“…The estimated 10-yr and 15-yr PCSM incidence rates were 0.4% (95% confidence interval [CI] 0.1–1.0%) and 1.1% (95% CI 0.3–2.9%) at PMH, and 1.35% (95% CI 0.79–2.18%) and 3.15% (95% CI 2.14–4.47%) at OCC, respectively. …”
Get full text

Incidence of Strabismus in Childhood Glaucoma by Kaersti L. Rickels, BA, Muhammad Z. Chauhan, MD, MS, Linda R. Dagi, MD, Abdulrahman Rageh, MD, Isdin Oke, MD, MPH, Paul H. Phillips, MD, Abdelrahman M. Elhusseiny, MD, MSc

“…Methods: Patients were identified using the International Classification of Diseases Ninth and 10th Revision codes. …”
Get full text

Personalized neuron-specific enolase level based on EEG pattern for prediction of poor outcome after cardiac arrest by Juliette Pelle, Estelle Pruvost-Robieux, Florence Dumas, Antonin Ginguay, Julien Charpentier, Clara Vigneron, Frédéric Pène, Jean Paul Mira, Alain Cariou, Sarah Benghanem

“…EEG patterns were classified according to the Westhall classification (benign, malignant or highly malignant). …”
Get full text

Smaller and thinner long bones in children and adolescents with cerebral palsy and other neuromotor impairments by Erin Hodgson, Erin Hodgson, Erin Hodgson, Erin Hodgson, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Elizabeth G. Condliffe, Leigh Gabel, Leigh Gabel, Leigh Gabel, Leigh Gabel

“…ObjectivesThis study quantified bone and muscle health in children and adolescents with CP and other neuromotor impairments across all five gross motor function classification system (GMFCS) levels.MethodsPeripheral quantitative computed tomography (pQCT) scans of both tibiae were acquired at the 3%, 38%, and 66% of tibia length in 22 children and adolescents (4–17 years old) diagnosed with CP and “CP-like” neurodevelopmental conditions causing motor impairment. …”
Get full text

Hospital frailty risk score in predicting outcomes after simultaneous colon and liver resection for colorectal cancer liver metastasis in older adults: Evidence from the Nationwide... by Haohao Huang, Weidong Jin, Huiling Sun, Bo Diao, Ping Wang, Jiankun Jia, Dandan Ma, Yi Zhang

“…Frailty was significantly associated with increased risks of in-hospital mortality (adjusted odds ratio [aOR] = 3.65, 95% confidence interval [CI]: 2.52, 5.28), non-routine discharge (aOR = 2.44, 95% CI: 2.08, 2.87), prolonged LOS (aOR = 3.07, 95% CI: 2.60, 3.61), overall complications (aOR = 3.47, 95% CI: 3.03, 3.97), sepsis (aOR = 13.73, 95% CI: 9.76, 19.31), respiratory failure (aOR = 4.99, 95% CI: 3.80, 6.57), acute kidney injury (AKI) (aOR = 6.42, 95% CI: 4.83, 8.52), and acute liver failure (aOR = 2.10, 95% CI: 1.38, 3.21), as well as 32.69 thousand USD higher total hospital costs (95% CI: 28.41, 36.97) than no frailty. …”
Get full text

Combined modality radiotherapy for high-risk prostate cancer. Analysis of treatment-Related complications by K. S. Makarova, Yu. V. Gumenetskaya, V. A. Biryukov, A. A. Obukhov, I. A. Strikanova, S. O. Dzhabrailova, O. G. Lepilina, N. B. Borysheva, O. B. Karyakin, S. A. Ivanov, A. D. Kaprin

“…Short-term outcomes after combined modality radiotherapy were analyzed in 88 prostate cancer patients treated at clinic of the a.F. tsyb medical Radiological Research center between april 2016 and February 2018. the median follow-up time was 13 months (range, 3–23 months). the mean age of the patients was 64.8 years (range, 49–80 years). an initial psawas in the range of 3.5–114 ng/ml (mean 16.7 ng/ml). all patients were considered high-risk according to the d’amico classification. the patients were divided into two groups according to the sequence of combined modality radiotherapy. in group 1, the patients (n=45) received conformal EBRtto a total dose of 44–46 gy, and 2–3 weeks later, they underwent high–dose rate 192ir- brachytherapy (one single fraction of 15 gy) as a boost to EBRt. in group 2, the patients (n=43) were treated with interstitial brachytherapy followed by EBRtdelivering at total doses of 44–46 gy.Results. …”
Get full text