Assessing the impact of land use and cover change on above-ground carbon storage in subtropical forests: a case study of Zhejiang Province, China by Zihao Huang, Huaqiang Du, Fangjie Mao, Xuejian Li, Guomo Zhou, Jiaqian Sun, Yanxin Xu, Jie Xuan, Yagang Lu, Lei Huang, Meixuan Song

“…We first mapped the land cover patterns using the random forest and spatiotemporal filtering algorithm and then applied these patterns to drive an optimized BIOME-BGC model to simulate the spatiotemporal distribution of AGC density. …”
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Construire des ressources relationnelles pour franchir des frontières multiples : Trajectoires de jeunes Tunisiens by Hasnia-Sonia Missaoui

“…By proceeding in this way, it becomes possible to highlight individual trajectories that are similar to chance encounters, often random, but which the people concerned know how to grasp. …”
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Comparative Efficacy of NAFLD Therapies and Biomarker Associations: A Meta-Analysis Based on Liver Fat Content by Haoxiang Zhu, Ling Xu, Yinhua Lv, Juan Yang, Jihan Huang, Qingshan Zheng, Guang Ji, Lujin Li

“…Methods: We performed a systematic search of public databases for placebo-controlled randomized trials on NAFLD up to September 29, 2023. …”
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Short-term and long-term effect of non-pharmacotherapy for adults with ADHD: a systematic review and network meta-analysis by Xinyue Yang, Lin Zhang, Jing Yu, Meng Wang

“…Standardized mean differences were estimated using network meta-analyses with random effects.ResultsA total of 37 RCTs involving 2,289 participants and 10 non-pharmacological therapies were included. …”
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Functional Connectivity Alterations Associated with COVID-19-Related Sleep Problems: A Longitudinal Resting-State fMRI Study by Chen HB, Li L, Sun YK, Liu Y, Chen W, Liu P, Liao YH, Xie A

“…Correlations between FC and clinical data were analyzed by Pearson correlation analysis with Gaussian random field (GRF) correction. The repeated-measures analysis of variance (R-M ANOVA) was completed to explore the interaction with time.Results: At baseline, COVID_SP exhibited elevated FC: right precentral gyrus (PrG) with left lateral occipital cortex (LOcC)/right PrG, left inferior parietal lobule (IPL) with right superior frontal gyrus (SFG), left hippocampus with right inferior frontal gyrus (IFG). …”
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Perinatal outcomes and predictors of placental abruption: a retrospective study in an Ethiopian tertiary care center by Mesfin Tadese, Gebresenbet Getachew, Tirusew Nigussie Kebede, Toyba Ebrahim Yesuf, Saba Desta Tessema, Wogene Asefa Damesa, Gebeyehu Shumet Solomon

“…Thus, the study aimed to investigate the adverse perinatal outcomes of placental abruption and the factors associated with these outcomes among pregnant women admitted to the University of Gondar Comprehensive Specialized Hospital in Ethiopia.MethodAn institution-based retrospective cross-sectional study was conducted among 367 pregnant women who were admitted and managed for placental abruption from January 1, 2021, to January 1, 2023, at the University of Gondar Comprehensive Specialized Hospital. A simple random sample method was employed to choose the medical records. …”
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Does diabetes modify the triglyceride–glucose index associated with cardiovascular events and mortality? A meta-analysis of 50 cohorts involving 7,239,790 participants by Jun Zhang, Qiye Zhan, Zhihao Deng, Ling Lin, Zhaolan Feng, Huabin He, Deju Zhang, Huilei Zhao, Xiang Gu, Xiaoping Yin, Peng Yu, Xiao Liu

“…Methods/design The PubMed, Cochrane Library, and Embase databases were searched for studies on the associations between the TyG index and cardiovascular events and mortality in patients with and without diabetes from inception to December 2, 2024. The random effects model was employed to pool the effect sizes. …”
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Sex-specific differences in children attending the emergency department: prospective observational study by Joany M Zachariasse, Henriette A Moll, Ian K Maconochie, Ewout W Steyerberg, Daan Nieboer, Dorine M Borensztajn, Claudio F Alves, Frank J Smit, Susanne Greber-Platzer, Claudia M G Keyzer-Dekker

“…Results from the different hospitals were pooled in a random effects meta-analysis.Results 116 172 ED visits were included of which 63 042 (54%) by boys and 53 715 (46%) by girls. …”
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Measure-and-remeasure as an economically feasible approach to crediting soil organic carbon at scale by Eric Potash, Mark A Bradford, Emily E Oldfield, Kaiyu Guan

“…We analyze multi-field measure-and-remeasure SOC projects with two key features: first, practice assignment is randomized to compare the effect of a treatment (e.g. no tillage) to a control (e.g. conventional tillage); second, a random subset of fields is sampled (two stage cluster sampling) to cost-effectively measure SOC changes. …”
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Prevalence of piriformis syndrome and its associated risk factors among university students in Pakistan: a cross-sectional study by Hassan N Moafa, Nusrat Batool, Naila Azam, Azka Hafeez, Humaira Mehmood, Nimbal Imtiaz, Waqas A Shehzad, Asaad Saleem Malik, Ajiad Alhazmi, Manal Almalki, Almutasim B Moafa, Jobran M Moshi

“…Participants were selected using multistage random sampling.Primary and secondary outcome measures The prevalence of PS in addition to associated risk factors as a primary outcome measures. …”
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Prevalence of lumpy skin disease and associated risk factors in beef cattle in Rembang Regency, Central Java, Indonesia by Yayan Taufiq Hidayat, Roza Azizah Primatika, Yatri Drastini

“…Materials and Methods: The sample size was 458 cattle, which were determined using the formula (n = 4PQ/L2) and two-stage random sampling technique, were examined physically through LSD typical clinical signs, namely distinguishing firm, circumscribed, few (mild forms) to multiple (severe forms) skin nodules. …”
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Leveraging machine learning and rule extraction for enhanced transparency in emergency department length of stay prediction by Waqar A. Sulaiman, Charithea Stylianides, Andria Nikolaou, Andria Nikolaou, Zinonas Antoniou, Ioannis Constantinou, Lakis Palazis, Anna Vavlitou, Theodoros Kyprianou, Theodoros Kyprianou, Efthyvoulos Kyriacou, Antonis Kakas, Antonis Kakas, Marios S. Pattichis, Andreas S. Panayides, Constantinos S. Pattichis, Constantinos S. Pattichis

“…Using machine learning models, including Gradient Boosting (GB), Random Forest (RF), Logistic Regression (LR), and Multilayer Perceptron (MLP), we identified GB as the best performing model outperforming the other models with an AUC of 0.730, accuracy of 69.93%, sensitivity of 88.20%, and specificity of 40.95% on the original dataset. …”
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Implementing Bayesian inference on a stochastic CO2-based grey-box model by Shujie Yan, Jiwei Zou, Chang Shu, Justin Berquist, Vincent Brochu, Marc Veillette, Danlin Hou, Caroline Duchaine, Liang (Grace) Zhou, Zhiqiang (John) Zhai, Liangzhu (Leon) Wang

“…However, real-time estimation of air change rates or CO2 emission rates from CO2 measurement data remains challenging due to uncertainties in factors like random air movements, dynamic conditions (e.g., weather and occupancy), and the limitations of deterministic equations. …”
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Association between controlling nutritional status score and the prognosis of patients with acute myocardial infarction: a systematic review and meta-analysis by Lei Peng, Jian Tang, Ningjun Zhang, Zhongnan Zhang, Deqi Wang, Youfu He

“…Primary outcomes consisted of major adverse cardiovascular events (MACE) and mortality, while secondary outcomes encompassed stroke, cardiac death, myocardial reinfarction, revascularization, ventricular arrhythmias, and atrioventricular block. A random-effects meta-analysis was executed, with CONUT scores treated as either categorical or continuous variables. …”
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Effect of Forbrain Cognitive Training Intervention Prescriptions Based on Risk Factors on Patients with Cognitive Impairment After Traumatic Brain Injury by ZHANG Xueru, WANG Hongbin, CUI Huiying, HAO Xijun, CHEN Changxiang

“…ObjectiveTo observe the effect of Forbrain cognitive training intervention prescriptions based on risk factors on cognitive function and activities of daily living in patients with cognitive impairment after traumatic brain injury (TBI).MethodsA total of 120 patients with cognitive impairment after TBI treated in Tangshan Workers' Hospital from October 2021 to May 2022 were randomly divided into control group, observation group 1 and observation group 2 according to Excel random function, with 40 cases in each group. …”
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Dual-stack host discovery method based on SSDP and DNS-SD protocol by Fan SHI, Yao ZHONG, Pengfei XUE, Chengxi XU

“…With the exhaustion of the IPv4 addresses, the promotion and deployment of IPv6 has been accelerating.Dual-stack technology allows devices to enable both IPv4 and IPv6 protocols, which means that users are facing more security risks.Although the existing work can realize the identification and measurement of some dual-stack servers, the following problems still exist.Dual-stack host identification requires deep protocol identification of host services, but this method consumes too much scanning resources.Besides, network service providers may provide consistent services on distributed hosts, making it difficult to guarantee the accuracy of dual-stack host identification through service fingerprints.To solve these problems, the LAN service discovery protocol was used to bind host services to IP addresses, and a dual-stack host discovery method based on SSDP and DNS-SD protocols was proposed.In IPv4 network environment, the target host was induced to actively send a request to the constructed IPv6 server through SSDP protocol, and then the IPv6 address was extracted from the server’s log.Or the service list of the target host and its corresponding AAAA record was enumerated through the DNS-SD protocol and the IPv6 address of the target host was obtained, in order to realize the discovery of the dual stack address pairs.With this method, IPv6 addresses was obtained directly from the IPv4 host, which ensured the accuracy of the discovered dual-stack host.At the same time, only request packets for specific protocols were needed during the discovery process, which greatly saved scanning resources.Based on this method, the SSDP hosts and DNS-SD hosts accidentally exposed to the global IPv4 network were measured.A total number of 158k unique IPv6 addresses were collected, of which 55k were dual-stack host address pairs with globally reachable IPv6 addresses.Unlike existing work that focused on dual-stack servers, this method mainly targeted end-users and client devices, and built a unique set of active IPv6 devices and dual-stack host address pairs that have not been explored so far.Through the analysis of the obtained IPv6 address addressing type, it shows that IPv6 address is mainly generated in a random manner, which greatly reduces the possibility of IPv6 hosts being discovered by scanning.In particular, by measuring the ports and services of dual-stack hosts, we found that the security policy differences of dual-stack hosts on different protocol stacks.Especially, IPv6 protocol stack exposes more high-risk services, expanding the attack surface of hosts.The research results also show that the infeasibility of IPv6 address space traversal scanning mitigates the security risks of IPv6, but incorrect network configuration greatly increases the possibility of these high-risk IPv6 hosts being discovered and users should revisit IPv6 security strategy on dual-stack hosts.…”
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Long-term impact of different prevalent cropping systems on soil physico-chemical characteristics under subtropical climate conditions of Punjab, Pakistan by Fahad Ali Fayyaz, Irfan Aziz, Muhammad Ansar, Muhammad Akmal, Saud Alamri, Alanoud T. Alfagham, Renata Gamrat, Abdul Qayyum

“…A total of 470 georeferenced soil samples were collected using a random survey approach, and the samples were analyzed for soil texture, pH, electrical conductivity (EC), organic matter percentage (OM), total nitrogen percentage (TN), accessible phosphorus (AvP) (mg kg−1) and extractable potassium (ExK) (mg kg−1). …”
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Harnessing the Power of Machine Learning Guided Discovery of NLRP3 Inhibitors Towards the Effective Treatment of Rheumatoid Arthritis by Sidra Ilyas, Abdul Manan, Chanyoon Park, Hee-Geun Jo, Donghun Lee

“…The models were evaluated, and a comparative analysis revealed that the ensemble Random Forest (RF) model (PubChem fingerprints) with RMSE (0.731), R² (0.622), and MAPE (8.988) and bootstrap aggregating model (MACCS fingerprints) with RMSE (0.687), R² (0.666), and MAPE (9.216) on the testing set performed well, in accordance with the Organization for Economic Cooperation and Development (OECD) guidelines. …”
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Beneficiaries’ satisfaction with health insurance and associated factors in Sub-Saharan Africa: a systematic review and meta-analysis by Abubeker Alebachew Seid, Bizunesh Fantahun Kase, Abdu Hailu Shibeshi, Molla Getie Mehari, Abdulkerim Hassen Moloro

“…The quality of studies was assessed using Joanna Briggs Institute checklists. A random-effects model was employed to estimate pooled outcomes. …”
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Predicting conversion to psychosis using machine learning: response to Cannon by Jason Smucny, Tyrone D. Cannon, Tyrone D. Cannon, Carrie E. Bearden, Carrie E. Bearden, Jean Addington, Kristen S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William Stone, Elaine F. Walker, Scott W. Woods, Scott W. Woods, Ian Davidson, Cameron S. Carter

“…All models performed above chance, with Naive Bayes and random forest methods showing the best overall performance. …”
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