Anomaly distribution acquisition method for probabilistic damage tolerance assessment of hole features by Guo Li, Huimin Zhou, Junbo Liu, Shuyang Xia, Shuiting Ding

“…The default anomaly distribution of hole features has been established and published in airworthiness advisory circular 33.70-2 based on historical anomaly data collected from cracked or ruptured parts recorded in laboratory analysis reports of the special industries before 2005. …”
Get full text

Non‐Invasive Tumor‐Naïve Minimal Residual Disease Detection of Liver Cancer by Incorporating Circulating Tumor DNA Features and Alpha‐Fetoprotein: A Prospective Study by Qingqi Ren, Shiyong Li, Guolin Zhong, Yunfei Li, Dao‐Ling Huang, Liangliang Zhang, Yumin Feng, Guanghui Long, Mao Mao

Get full text

Examination of the Psychometric Properties of the Borderline Personality Inventory in an Adolescent Sample by Yasemin Kahya, Koret Munguldar, Melis Gün

“…The risk of hospitalization, self-harm, and suicidality are much higher in BPD compared to other psychopathologies. Detecting BPD symptoms during adolescence and determining the necessary treatment modalities are important. …”
Get full text

Empowering Diagnostics: An Ensemble Machine Learning Model for Early Liver Disease Detection by Abdulrahman Ahmed Jasim, Hajer Alwindawi, Layth Rafea Hazim

“…We then perform correlation-based feature reduction before training a stacking classifier that combines Random Forest, XGBoost, and ExtraTrees base learners with an ExtraTrees meta‑learner. …”
Get full text

PCSK9 is upregulated and correlated with more severe disease condition but fails to predict treatment outcomes in psoriasis patients by Xuwen Yin, Lei Shi, Ni Zhang, Heng Li, Jianwen Long, Xinjian Yu

“…Baseline characteristics and treatment response after 12-week treatment were collected. Their serum samples before treatment initiation were collected and sent to PCSK9 detection by enzyme-linked immunosorbent assay. …”
Get full text

The data dimensionality reduction and bad data detection in the process of smart grid reconstruction through machine learning. by Bo Yu, Zheng Wang, Shangke Liu, Xiaomin Liu, Ruixin Gou

“…When the number of iTree n is determined to be 100, and the corresponding number of samples w is determined to be 10, the algorithm has the best detection effect. …”
Get full text

Integrating multi‐omics features enables non‐invasive early diagnosis and treatment response prediction of diffuse large B‐cell lymphoma by Weilong Zhang, Bangquan Ye, Yang Song, Ping Yang, Wenzhe Si, Hairong Jing, Fan Yang, Dan Yuan, Zhihong Wu, Jiahao Lyu, Kang Peng, Xu Zhang, Lingli Wang, Yan Li, Yan Liu, Chaoling Wu, Xiaoyu Hao, Yuqi Zhang, Wenxin Qi, Jing Wang, Fei Dong, Zijian Zhao, Hongmei Jing, Yanzhao Li

“…Detection sensitivity achieved 91% at 99% specificity in early‐stage patients, while the AUC values of the individual omics model were 0.942, 0.968, 0.989, 0.935, 0.921, 0.781 and 0.917, respectively, with lower sensitivity and specificity. …”
Get full text

Correlation between EpCAM expression and cervical lymph node metastasis in papillary thyroid carcinoma: a study integrating ultrasonographic features by Xia Zhang, Jie Li, Ming Gao, Yan Zhang

“…Methods Participants with suspected thyroid cancer underwent conventional and contrast-enhanced ultrasonography (CEUS) before surgery. Age, sex, and nodule features in ultrasound were recorded. …”
Get full text

5-hydroxymethylcytosine sequencing of plasma cell-free DNA identifies epigenomic features in prostate cancer patients receiving androgen deprivation therapies by Qianxia Li, Chiang-Ching Huang, Shane Huang, Yijun Tian, Jinyong Huang, Amirreza Bitaraf, Xiaowei Dong, Marja T. Nevalainen, Manishkumar Patel, Jodie Wong, Jingsong Zhang, Brandon J. Manley, Jong Y. Park, Manish Kohli, Elizabeth M. Gore, Deepak Kilari, Liang Wang

Get full text

Prediction of KRAS gene mutations in colorectal cancer using a CT-based radiomic model by Wenjing Wang, Qingbiao Zhang, Shimei Fan, Yuyin Wang, Xingyan Le, Min Ai, Chunqi Du, Junbang Feng, Chuanming Li

“…All patients underwent plain CT and contrast-enhanced examinations before surgery. The 3D segmentation of the tumour was manually delineated by two radiologists who were unaware of the pathological results and KRAS gene detection outcomes. …”
Get full text

Research on lightweight weed recognition algorithm based on improved YOLOv8 by Zhang Chao, Liu Bin, Li Kun

“…Then, Effcient-RepGFPN is introduced as the neck network, and RFAConv is used to replace the two CSPStage modules before up-sampling. Different scale features are used to improve the performance of target detection. …”
Get full text

Clinical application of the urinary lipoarabinomannan (AIMLAM) test in PLHIV with TB by Jie Lu, Xia Li, Hengli Liu, Xinqi Dong, Shuangmei Zhang, Xingqian Wu, Feiyu Yan, Yanyun Zhang, Xi Wang, Ai Gao, Jiachen Dou

“…General clinical data were collected. Urine samples were collected from all patients and subjected to AIMLAM antigen detection via chemiluminescence. …”
Get full text

Can Broadening the Kidney Biopsy Criteria Reduce Misleading Diagnoses in Young Patients with End-Stage Renal Diseases? A Survey on the Sicilian Registry of Nephrology, Dialysis, an... by Vincenzo Calabrese, Giovanni Conti, Giulio Geraci, Ligia J. Dominguez, Valeria Cernaro, Maria Teresa Zicarelli, Guido Gembillo, Elisa Longhitano, Domenico Santoro

“…Logistic regression analysis detected the association between the variables and the unknown diagnosis, and variables with a <i>p</i>-value < 0.2 were added to the multivariate model. …”
Get full text

THE TERM COMBINATION AND THE METAPHOR IN THE OFFICIAL BUSINESS DOCUMENT: COGNITIVE ASPECT by Yuliya I. Demyanchuk.

“…Thus, the semantic dominance of the highly specialized terminology in NATO’s official business documents is confirmed by a large sampling based on features identified as a result of monitoring of their extralingual indicators. …”
Get full text

Influenza vaccination and cytokine profile dynamics in young men in Primorsky krai by Yu. A. Li, M. N. Dmitrachenko, M. P. Kostinov, E. V. Markelova, I. V. Korolev, S. L. Saprykin

“…After influenza vaccination, there was a noticeable tendency to decrease the levels of all cytokines compared to baseline values.Conclusion: The results of the study revealed features in cytokine levels before and after influenza vaccination in healthy young people, which were characterized by deviations from the norm in both directions.…”
Get full text

Infant Type Ia Supernovae from the KMTNet. I. Multicolor Evolution and Populations by Yuan Qi Ni, Dae-Sik Moon, Maria R. Drout, Youngdae Lee, Patrick Sandoval, Jeehye Shin, Hong Soo Park, Sang Chul Kim, Kyuseok Oh

“…Colors are initially diverse before  ∼5 days, but converge to similar values at  ∼10 days. …”
Get full text

Digital augmentation of aftercare for patients with anorexia nervosa: the TRIANGLE RCT and economic evaluation by Janet Treasure, Katie Rowlands, Valentina Cardi, Suman Ambwani, David McDaid, Jodie Lord, Danielle Clark Bryan, Pamela Macdonald, Eva Bonin, Ulrike Schmidt, Jon Arcelus, Amy Harrison, Sabine Landau

“…Data on health service utilisation, productivity loss and patient out-of-pocket expenses were collected at baseline and 12 months using a modified online version of the Client Service Receipt Inventory. Sample size An a priori sample size calculation of n = 380 dyads was computed as being sufficient to detect a standardised effect size of Cohen’s d = 0.4 for patient DASS-21 at 12 months post randomisation. …”
Get full text

Cervical ripening at home or in hospital during induction of labour: the CHOICE prospective cohort study, process evaluation and economic analysis by Mairead Black, Cassandra Yuill, Mairi Harkness, Sayem Ahmed, Linda Williams, Kathleen A Boyd, Maggie Reid, Amar Bhide, Neelam Heera, Jane Huddleston, Neena Modi, John Norrie, Dharmintra Pasupathy, Julia Sanders, Gordon C S Smith, Rosemary Townsend, Helen Cheyne, Christine McCourt, Sarah Stock

“…Future research should focus on: Further exploration and implementation of system features that lead to positive experiences of home cervical ripening. …”
Get full text

Hybrid closed-loop systems for managing blood glucose levels in type 1 diabetes: a systematic review and economic modelling by Asra Asgharzadeh, Mubarak Patel, Martin Connock, Sara Damery, Iman Ghosh, Mary Jordan, Karoline Freeman, Anna Brown, Rachel Court, Sharin Baldwin, Fatai Ogunlayi, Chris Stinton, Ewen Cummins, Lena Al-Khudairy

“…The studies were non-randomised with no control group and had a before-and-after design. This limits the scientific value of the evidence as there is a greater risk of bias due to lack of randomisation, lack of a true control and selection bias. …”
Get full text