Correlations of gene expression, codon usage bias, and evolutionary rates of the mitochondrial genome show tissue differentiation in Ophioglossum vulgatum by Jing Hao, Yingyi Liang, Ting Wang, Yingjuan Su

“…The Spearman’s rank correlation coefficients between codon adaptation index and expression levels of sporangium, stem, leaf, and root were 0.1178, 0.3926, 0.4463, and 0.2945, respectively, with significance in stem and leaf (P < 0.05). …”
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Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China by Bingwei Wang, Qigen Lin, Tong Jiang, Huaxiang Yin, Jian Zhou, Jinhao Sun, Dongfang Wang, Ran Dai

“…It is advisable to consider various evaluation metrics from different perspectives and integrate them with specialist qualitative geomorphological empirical knowledge to determine the best model. (3) The Gini index-based RF model suggests that road density was the dominant factor in the frequency of landslides in the study area.…”
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Are noise and air pollution related to the incidence of dementia? A cohort study in London, England by Derek G Cook, Frank J Kelly, Iain M Carey, H Ross Anderson, David P Strachan, Richard W Atkinson, Sean D Beevers, David Dajnak, John Gulliver

“…HRs from Cox models were adjusted for age, sex, ethnicity, smoking and body mass index, with further adjustments explored for area deprivation and comorbidity.Results 2181 subjects (1.7%) received an incident diagnosis of dementia (39% mentioning Alzheimer’s disease, 29% vascular dementia). …”
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Methodological insights into intervention and outcomes in randomised controlled trials of herbal medicine for obesity: a scoping review by Janice Sue Wen Chan, Mei Siu Lau, Siti Hajar Muhamad Rosli, Siti Khadijah Mustapha Kamal, Wan Nurul Nadia Wan Seman, Nurul Hidayah Ali, Terence Yew Chin Tan, Ida Farah Ahmad, Puspawathy Krishnan, Marisa Khatijah Borhan, Ami Fazlin Syed Mohamed, Xin Yi Lim

“…Results: We included 99 RCTs that showed participant sample sizes ranging from 8 to 182, ages 18 to 80 years and body mass indexes (BMIs) between 25 and 49.9 kg/m 2 . Herbal interventions used single herbs ( n = 57) and mixtures ( n = 42), given for 14 days to 56 weeks. …”
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Agreement between 2D Visual- and 3D Motion Capture-based Assessment of Foot Strike Pattern by Haruhiko Goto, Toshinao Kamikubo, Ryota Yamamoto, Toshiharu Tsutsui, Suguru Torii

“…Various methods, including two-dimensional (2D) visual-based methods and three-dimensional (3D) motion capture-based methods utilizing parameters such as the strike index (SI) or strike angle (SA), have been employed to assess these patterns. …”
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Causally inferred evidence of the impact of green and blue spaces (GBS) on maternal and neonatal health: a systematic review and meta-analysis by Rukun K S Khalaf, Selin Akaraci, Faye D Baldwin, Rebecca S Geary, Ruwanthi Kolamunnage-Dona, Ruth F Hunter, Sarah E Rodgers

“…The most reported green space variable was the Normalized Difference Vegetation Index (NDVI) ( n = 46, 74%). Our meta-analyses results indicated that greater greenness is protective against LBW (OR = 0.95, 95% CI: 0.92–0.98, p = 0.002), SGA (OR = 0.95, 95% CI: 0.92–0.99, p = 0.01), PTB (OR = 0.92, 95% CI: 0.88–0.97, p = 0.001), and affects birthweight ( β = 13.02 g, 95% CI: 9.99–16.05, p < 0.0001).…”
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Functional status, lymphocyte-to-monocyte ratio, and platelet-to-lymphocyte ratio as prognostic factors of one-year survival rate in elderly patients with advanced-stage non-small... by Ratna Nurhayati, Aulia Rizka, Cleopas Martin Rumende, Noorwati Sutandyo, Arif Hanafi, Edy Rizal Wahyudi, Hamzah Shatri, Anna Mira Lubis, Em Yunir, Muhammad Firdaus, Yuniar Harris Prayitno, Nadira Nibras Taqiyya

“…Medical records were collected, comprising complete blood count prior to chemotherapy or radiotherapy, assessment of functional status through the Barthel Index for Activities of Daily Living (ADL), and 1-year survival post-diagnosis. …”
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Implications of the availability and distribution of birth weight on addressing neonatal mortality: population-based assessment from Bihar state of India by Lalit Dandona, Rakhi Dandona, G Anil Kumar, Debarshi Bhattacharya, Sibin George, Priya Nanda, Md Akbar

“…LBW prevalence decreased and birth weight ≥2500 g increased significantly with increasing wealth index quartile. NMR was significantly higher in live births weighing &lt;1500 g (11.3%; 95% CI 5.1 to 23.1) and 1500–1999 g (8.0%; 95% CI 4.6 to 13.6) than those weighing ≥2500 g (1.3%, 95% CI 0.9 to 1.7). …”
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Comparing prediction accuracy for 30-day readmission following primary total knee arthroplasty: the ACS-NSQIP risk calculator versus a novel artificial neural network model by Anirudh Buddhiraju, Michelle Riyo Shimizu, Tony Lin-Wei Chen, Henry Hojoon Seo, Blake M. Bacevich, Pengwei Xiao, Young-Min Kwon

“…The strongest predictors of readmission were body mass index (> 33.5 kg/m2), age (> 69 years), and male sex. …”
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Analysis of Calcaneal Bone Mineral Density (cBMD) in Healthy College Students by Jason E. Bennett, Tricia M. Austin, Ann M. Hayes, Mark F. Reinking

“… # Hypothesis/Purpose The purposes of this study were to: 1) examine the influence of physical activity on cBMD in healthy college students (HCS), 2) determine if there is an association between cBMD, body mass index (BMI), sex, menstrual history, and history of BSI in HCS, and 3) compare the cBMD of HCS to cBMD data collected on intercollegiate athletes (ICA) from a previous study…”
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CD28 Genetic Variants Increase Susceptibility to Diabetic Kidney Disease in Chinese Patients with Type 2 Diabetes: A Cross-Sectional Case Control Study by Yangyang Li, Li Jin, Jing Yan, Hong Zhang, Rong Zhang, Cheng Hu

“…Under additive genetic models, CD28-rs3116494 (OR=1.29 [95% CI 1.11, 1.51], P=0.0011) and CD80-rs3850890 (OR=1.16 [95% CI 1.02, 1.31], P=0.0283) were associated with DKD susceptibility adjusted for age, gender, body mass index (BMI), duration of diabetes, and HbA1c. CD28-rs3116494 was associated with serum sCD28 level (β=0.26 [95% CI 0.08, 0.44], P=0.0043). …”
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Prognostic and clinicopathological role of soluble programmed cell death ligand-1 in patients with diffuse large B-cell lymphoma: a meta-analysis by Hongbin Lu, Lulu Luo, Jie Mi, Min Sun, Huaping Wang, Zheng Wang, Wenwen Ding

“…Moreover, based on the pooled data, higher sPD-L1 was significantly related to the Eastern Cooperative Oncology Group Performance Status Scale (ECOG PS) ≥2 (OR=4.10, 95%CI=1.82-9.24, p=0.001), clinical stage III-IV (OR = 3.30, 95%CI = 1.48–7.39, p = 0.004), elevated lactate dehydrogenase (LDH) levels (OR = 2.14, 95%CI = 1.07–4.30, p = 0.032), and the International Prognostic Index (IPI) score 3–5 (OR = 3.83, 95%CI = 1.91–7.68, p &lt; 0.001) in DLBCL.ConclusionAccording to our findings, a higher sPD-L1 level was a significant predictor of poor OS and PFS in patients with DLBCL. …”
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Assessment of upper respiratory and gut bacterial microbiomes during COVID-19 infection in adults: potential aerodigestive transmission by Hafez Al-Momani, Andrew Nelson, Hadeel Al Balawi, Dua’a Al Balawi, Iman Aolymat, Ashraf I. Khasawneh, Hala Tabl, Ayman Alsheikh, AbdelRahman M. Zueter, Jeffrey Pearson, Christopher Ward

“…ELISA Pepsin tests and Reflux Symptom Index scores (RSI) were conducted for EOR assessment. …”
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The direct and urinary electrolyte-mediated effects of ambient temperature on population blood pressure: A causal mediation analysis by Ayesha Mukhopadhyay, Momenul Haque Mondol, Mahbubur Rahman, Leanne Unicomb, Rizwana Khan, Hoimonty Mazumder, Mohammad Nahian Ferdous, Emily V. Pickering, Konstantinos C. Makris, Alberto J. Caban-Martinez, Faruk Ahmed, Mohammad Shamsudduha, Fawaz Mzayek, Chunrong Jia, Hongmei Zhang, Anwar Musah, Lora E. Fleming, Matthew P. Smeltzer, Howard H. Chang, John L. Jefferies, Csaba P. Kovesdy, Xichen Mou, Abu Mohd Naser

“…Models had participant-level random intercepts and were adjusted for age, sex, body mass index (BMI), religion, exercise, smoking status, sleep hours, alcohol consumption, urine creatinine, time trend, household assets, drinking water salinity, and seasonality. …”
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How does the rise in contraceptive usage predict pregnancy termination among young women in Kenya? an in-depth multilevel analysis by Stephen Okechukwu Chukwudeh, Obasanjo Afolabi Bolarinwa, Oluwatobi Abel Alawode, David Olawade, Sinegugu Shongwe, Ritika Tiwari

“…Place of residence, age, wealth index, level of education, and met needs of children have been identified as risk factors. …”
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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…<h4>Results</h4>The random forest classifier (sensitivity = 81%, accuracy = 77%, precision = 75%, f1-score = 78%, AUC = 85%) outperformed in predicting stunting compared to other ML algorithms considered in this study. Region, poor wealth index, no formal education, unimproved toilet facility, rural residence, not used contraceptive method, religion, age, no media exposure, occupation, and having one or more children were the top attributes to predict stunting. …”
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Non-pharmacological Methods Used in the Management of Type 2 Diabetes Mellitus by a Selected Group of People with T2DM in Colombo District, Sri Lanka: A Mixed-Method Study by Lakshani Herath, Manisha Kamalsiri, Perananthan Inthuja, Gayani P Gamage, Dinithi Vidanage

“…Although males spent more time on exercise compared to females (male vs. female; 36.1 vs. 15.3min, P = 0.025), both groups demonstrated poor glycemic levels (male vs. female; 141.3 ± 52 vs. 136.5 ± 42.2 mg/dl) and higher body mass index (male vs. female; 24.7 ± 4.7 vs. 25.8 ± 4.5 kg/m2). …”
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Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiographyResearch in context by Jiesuck Park, Jiyeon Kim, Jaeik Jeon, Yeonyee E. Yoon, Yeonggul Jang, Hyunseok Jeong, Youngtaek Hong, Seung-Ah Lee, Hong-Mi Choi, In-Chang Hwang, Goo-Yeong Cho, Hyuk-Jae Chang

“…We performed internal (internal test dataset [ITDS], n = 841) and external validation (distinct hospital dataset [DHDS], n = 1696; temporally distinct dataset [TDDS], n = 772) for diagnostic value across various stages of AS and prognostic value for composite endpoints (cardiovascular death, heart failure, and aortic valve replacement). Findings: The DL index for the AS continuum (DLi-ASc, range 0–100) increased with worsening AS severity and demonstrated excellent discrimination for any AS (AUC 0.91–0.99), significant AS (0.95–0.98), and severe AS (0.97–0.99). …”
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Additive impact of metabolic syndrome and sarcopenia on all-cause and cause-specific mortality: an analysis of NHANES by Meng Zhang, Qing-Yue Zeng, Linli Zhuang

“…Mortality data were obtained from the National Death Index up to December 2019.ResultsAmong the 21,962 participants, 13,517 (61.5%) had neither MetS nor SP(MetS-/SP-), 5,407 (24.6%) had MetS only(MetS+/SP-), 2,698 (12.2%) had SP only(MetS-/SP+), and 340 (1.5%) had both MetS and SP(MetS+/SP+). …”
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Age-dependent differences in the association between blood interleukin-6 levels and mortality in patients with sepsis: a retrospective observational study by Takashi Shimazui, Takehiko Oami, Tadanaga Shimada, Keisuke Tomita, Taka-aki Nakada

“…This association remained significant after adjusting for sex, body mass index, steroid use prior to sepsis onset, and number of chronic organ dysfunctions (HR 1.66, 95% CI 1.20–2.32, P = 0.002). …”
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