Article
Biochemical Research Methods
Michael Olbrich, Axel Kuenstner, Hauke Busch
Summary: This study presents the development of a Microbiome Batch Effects Correction Suite, which integrates multiple batch effect correcting algorithms and evaluation metrics into a statistical computation software package R.
BMC BIOINFORMATICS
(2023)
Article
Statistics & Probability
Janice L. Scealy, Andrew T. A. Wood
Summary: This article proposes a new model for analyzing compositional data, addressing limitations of existing models. The authors introduce novel estimation methods to accommodate the characteristics of the data and demonstrate good performance in real-world applications.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
(2023)
Article
Engineering, Multidisciplinary
Abeer A. Moneer, Nabila M. El-Mallah, Manal M. El-Sadaawy, Mohamed Khedawy, Mohamed S. H. Ramadan
Summary: Aluminum Electrocoagulation technique was utilized to efficiently remove two anionic dyes in a batch bi-polar system. The optimal conditions for higher removal percentage were identified, and pseudo-first-order kinetic model best fitted the data. Different isotherm models showed that Langmuir and Flory-Huggins adsorption isotherms were the most fitting. The studied thermodynamic parameters clarified that the process is spontaneous and endothermic.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Biochemical Research Methods
Han Sun, Yue Wang, Zhen Xiao, Xiaoyun Huang, Haodong Wang, Tingting He, Xingpeng Jiang
Summary: Microbes constantly impact the metabolism and immunity of the human body, and the imbalance of the human microbiome not only leads to the occurrence of diseases but also drives their progression. Microbiome-based association tests have been developed to detect the association between the microbiome and host phenotype, but existing methods have not performed well in testing the association with multicategory phenotypes. In this paper, a new optimal microbiome-based association test called multiMiAT is proposed.
BRIEFINGS IN BIOINFORMATICS
(2023)
Article
Computer Science, Information Systems
Jang Hyun Kim, Min Hyung Park, Yerin Kim, Dongyan Nan, Fernando Travieso
Summary: This study examines the links between news topics related to COVID-19 and two South Korean pharmaceutical indices, revealing a significant relationship between the focus on specific news topics and fluctuations in the indices. The findings have practical and theoretical implications for investing in the pharmaceutical industry.
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
(2021)
Article
Genetics & Heredity
Johannes Ostner, Salome Carcy, Christian L. Mueller
Summary: Accurate generative statistical modeling of count data is crucial for analyzing biological datasets from high-throughput sequencing technologies. The introduced Bayesian model, tascCODA, seamlessly integrates hierarchical information and experimental covariate data, demonstrating excellent performance in differential abundance testing and providing valuable insights into compositional changes in microbial or cell population data.
FRONTIERS IN GENETICS
(2021)
Correction
Economics
Tom Auld, Oliver Linton
Summary: Auld and Linton (2019) studied the behavior of the Betfair betting market and the sterling/dollar exchange rate market during the night of the EU referendum. The study found that both markets appeared to be inefficient, with the currency market being slightly more inefficient than the betting market. However, updated results suggested that both markets took roughly the same amount of time to discount the public vote information. This calls into question the conclusion of a violation of weak market efficiency, although some smaller deviations in the markets' discounting of the vote were identified.
INTERNATIONAL JOURNAL OF FORECASTING
(2023)
Article
Health Care Sciences & Services
Arinjita Bhattacharyya, Subhadip Pal, Riten Mitra, Shesh Rai
Summary: This study discusses the use of Bayesian shrinkage models for prediction and classification in clinical data. Three shrinkage priors are compared, and extensive simulation studies are conducted. The results show that these priors can be used for robust prediction, with high accuracy and computational efficiency.
BMC MEDICAL RESEARCH METHODOLOGY
(2022)
Article
Demography
Wafaa Abdelaziz, Zohdy Nofal, Suhair Al-Neyazy
Summary: The level of contraceptive use among currently married Iraqi women has been examined in this study, and various demographic, socioeconomic, fertility, and cultural factors have been identified as determinants. The findings suggest that women who use modern contraceptive methods tend to have more children, higher educational attainment, and access to mass media and the internet. Additionally, the study highlights the preference for traditional contraceptive methods among Kurdish women. To improve family planning efforts in Iraq, the study recommends targeting women in the southern/central areas and promoting the use of modern contraceptives among Kurdish women.
JOURNAL OF BIOSOCIAL SCIENCE
(2022)
Article
Biotechnology & Applied Microbiology
Allison J. Sherier, August E. Woerner, Bruce Budowle
Summary: This study utilized SNPs from the skin microbiome for human identification, developing a machine learning framework that achieved 96% accuracy in classifying unknown samples in the test dataset, and predicted the correct host with 95% accuracy using the hidSkinPlex+ panel.
APPLIED AND ENVIRONMENTAL MICROBIOLOGY
(2022)
Article
Automation & Control Systems
Yan Zhang, Xiaoqiang Zhao, Yongyong Hui, Jie Cao
Summary: Batch process quality-related fault detection is necessary for ensuring operation safety and quality consistency. However, the weak ability of process variables to explain quality variables poses a challenge for fault detection. In this study, the MOSC-ETPCR algorithm is proposed for achieving nonlinear quality-related fault detection in batch processes, using orthogonal signal correction and nonlinear regression modeling enhanced by maximum information coefficient matrix.
MEASUREMENT & CONTROL
(2023)
Article
Political Science
Paul W. Thurner, Andre Klima, Helmut Kuechenhoff, Ingrid Mauerer, Stefan Mang, Melanie Walter-Rogg, Tassilo Heinrich, Thomas Knieper, Joachim Schnurbus
Summary: This study investigates the issue-related motives behind voters' decisions to switch parties during elections and whether they oscillate in the short term. By using an open-ended survey question format, the study identifies the dominant aspirational frame of individual voters. The study analyzes the voting trajectories of respondents in three consecutive elections and focuses on the polarizing issue of immigration. The findings reveal significant behavioral differences among the public on the immigration issue.
POLITISCHE VIERTELJAHRESSCHRIFT
(2022)
Article
Statistics & Probability
Zahra Rezaei Ghahroodi
Summary: Survey data is considered as one of the main sources in official statistics, but it may not be possible to collect all variables of interest due to high cost and respondent burden. Integrating available data from different sources can help to overcome these limitations. In this paper, a mixed method at the micro-level has been applied to integrate data sourced from two surveys conducted in Iran. The quality of matching and similarity of variables before and after integration are assessed using similarity measures and statistical tests.
STATISTICAL METHODS AND APPLICATIONS
(2023)
Article
Medicine, Legal
Shunichi Ishihara
Summary: This study demonstrates the effectiveness of a two-level Dirichlet-multinomial statistical model for calculating likelihood ratios for linguistic, textual evidence with multiple stylometric feature types. The performance of this model is compared with a previously proposed system using the same data from 2160 authors. The results show that the model outperforms the previous system and is more advantageous in handling longer documents.
Article
Mathematics, Interdisciplinary Applications
Balgobin Nandram
Summary: This study predicts the population proportion of a small area using individual-level data from a survey and household-level data from a census by linking households using common covariates and considering heterogeneity among households in a hierarchical Bayesian model. A computational algorithm is developed to sample the joint posterior density of the model, and projection procedures are used to link the survey to the census and provide estimates of census counts. Results are compared between heterogeneous and homogeneous models via projection methods, with an example from the Nepal Living Standards Survey presented.
Review
Hematology
Carmen Ka Man Cheung, Man Fai Law, Grace Chung Yan Lui, Sunny Hei Wong, Raymond Siu Ming Wong
Summary: COVID-19, caused by SARS-CoV-2, is impacting millions worldwide and leading to various hematological abnormalities in infected patients, posing challenges in the management of patients with hematological disorders.
ACTA HAEMATOLOGICA
(2021)
Article
Gastroenterology & Hepatology
Louis H. S. Lau, Cosmos L. T. Guo, Terry C. F. Yip, Joyce W. Y. Mak, Sunny H. Wong, Kelvin L. Y. Lam, Grace L. H. Wong, Siew C. Ng, Francis K. L. Chan
Summary: The study found that apixaban had a significantly lower risk of PPB and thromboembolism compared to warfarin, dabigatran, and rivaroxaban, especially in older patients with right-sided polyps.
Article
Gastroenterology & Hepatology
Sabrina Xin Zi Quek, Evelyn Xiu Ling Loo, Alla Demutska, Chun En Chua, Guan Sen Kew, Scott Wong, Hui Xing Lau, En Xian Sarah Low, Tze Liang Loh, Ooi Shien Lung, Emily C. W. Hung, M. Masudur Rahman, Uday C. Ghoshal, Sunny H. Wong, Cynthia K. Y. Cheung, Ari F. Syam, Niandi Tan, Yinglian Xiao, Jin-Song Liu, Fang Lu, Chien-Lin Chen, Yeong Yeh Lee, Ruter M. Maralit, Yong-Sung Kim, Tadayuki Oshima, Hiroto Miwa, Junxiong Pang, Kewin Tien Ho Siah
Summary: The study revealed that respondents with self-reported IBS had poorer emotional, social, and psychological well-being compared to non-IBS respondents, and were less compliant to social distancing measures. Those willing to adhere to social distancing indefinitely had a higher proportion of no change in IBS symptoms.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2021)
Article
Medicine, General & Internal
Martin C. S. Wong, Junjie Huang, Sunny H. Wong, Jeremy Yuen-Chun Teoh
Summary: The study showed that higher WHO International Health Regulations score was significantly associated with lower incidence and mortality rates of COVID-19, providing important insights for the design of pandemic control strategies.
JOURNAL OF THE ROYAL SOCIETY OF MEDICINE
(2021)
Editorial Material
Microbiology
Learn-Han Lee, Sunny Hei Wong, Siok-Fong Chin, Vishal Singh, Nurul-Syakima Ab Mutalib
FRONTIERS IN MICROBIOLOGY
(2021)
Article
Oncology
Joseph J. Y. Sung, Arthur K. C. Luk, Simon S. M. Ng, Anthony C. F. Ng, Peter K. F. Chiu, Emily Y. Y. Chan, Polly S. Y. Cheung, Winnie C. W. Chu, Sunny H. Wong, Thomas Y. T. Lam, Samuel Y. S. Wong
Summary: This study investigated the effectiveness and compliance of a one-stop screening service for colorectal cancer, prostate cancer, and breast cancer, showing high effectiveness and compliance among asymptomatic subjects. Participants willing to undergo colorectal cancer screening were highly likely to accept other cancer screenings as part of a one-stop program.
FRONTIERS IN ONCOLOGY
(2021)
Article
Biochemical Research Methods
Dan Huang, Xiansong Wang, Yingzhi Liu, Ziheng Huang, Xiaoxu Hu, Wei Hu, Qing Li, Hung Chan, Yidan Zou, Idy H. T. Ho, Yan Wang, Alfred S. L. Cheng, Wei Kang, Ka F. To, Maggie H. T. Wang, Sunny H. Wong, Jun Yu, Tony Gin, Qingpeng Zhang, Zheng Li, Jianxiong Shen, Lin Zhang, Matthew T. Chan, Xiaodong Liu, William K. K. Wu
Summary: Tumor suppressor genes exhibit unique promoter features that optimize cancer resistance by achieving high expression in normal tissues and resisting downregulation during tumorigenesis. The CpG dinucleotide frequencies in TSG promoters are higher and positively correlated with gene expression, suggesting an evolutionary pressure on young TSGs. Higher CpG frequencies and chromatin accessibility are associated with the ability of TSGs to resist downregulation during tumorigenesis.
BRIEFINGS IN BIOINFORMATICS
(2021)
Review
Nutrition & Dietetics
Hai Yun Shi, Xi Zhu, Wei Lin Li, Joyce W. Y. Mak, Sunny H. Wong, Sheng Tao Zhu, Shui Long Guo, Francis K. L. Chan, Shu Tian Zhang, Siew C. Ng
Summary: Probiotics have shown to have a positive impact on the prevention and treatment of viral respiratory tract infections by modulating gut microbiota to enhance host immunity, decrease viral load, and alleviate symptoms. Further research is needed on next generation probiotics specific to different viral types for the prevention and treatment of emerging viral RTIs.
EUROPEAN JOURNAL OF NUTRITION
(2021)
Article
Gastroenterology & Hepatology
Siew C. Ng, Zhilu Xu, Joyce Wing Yan Mak, Keli Yang, Qin Liu, Tao Zuo, Whitney Tang, Louis Lau, Rashid N. Lui, Sunny H. Wong, Yee Kit Tse, Amy Y. L. Li, Kitty Cheung, Jessica Y. L. Ching, Vincent W. S. Wong, Alice P. S. Kong, Ronald C. W. Ma, Elaine Y. K. Chow, Simon K. H. Wong, Ivan Chak Hang Ho, Paul K. S. Chan, Francis K. L. Chan
Summary: Repeated FMTs enhance microbiota engraftment in obese patients with T2DM, leading to more favorable changes in recipients' microbiota and improvement in lipid profile and liver stiffness when combined with lifestyle intervention.
Article
Oncology
Joseph K. M. Li, Lynn L. Wang, Christine Y. P. Wong, Peter K. F. Chiu, Jeremy Y. C. Teoh, Hilda S. W. Kwok, Steven C. H. Leung, Sunny H. Wong, Stephen K. W. Tsui, Chi-Fai Ng
Summary: The study found significant differences in gut microbiome between prostate cancer patients on ADT and prostatectomy, including differences in diversity and abundance. These differences may contribute to the development of metabolic complications from ADT treatment.
PROSTATE CANCER AND PROSTATIC DISEASES
(2021)
Article
Urology & Nephrology
Gordon Chun-Kau Chan, Sunny Hei Wong, Jack Kit-Chung Ng, Philip Kam-Tao Li, Cheuk-Chun Szeto, Kai-Ming Chow
Summary: Peritonitis is a common and serious complication of peritoneal dialysis, which may be enhanced by gastrointestinal endoscopy. It occurs more often in elderly patients or after repeated biopsy procedures.
PERITONEAL DIALYSIS INTERNATIONAL
(2022)
Review
Gastroenterology & Hepatology
Joseph J. Y. Sung, Sunny H. Wong
Summary: Fecal microbiota transplantation (FMT) is commonly used for treating various gastrointestinal and extraintestinal conditions, but there are still many unknown factors in gut microbiota research. Caution should be taken when using FMT as a therapeutic option, and clear documentation and further scientific research are important in evaluating its effectiveness and safety.
JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
(2022)
Review
Immunology
Ruifu Sun, Xuesong Wang, Xiaohong Sun, Bing Zhao, Xiugong Zhang, Xiaojin Gong, Sunny Hei Wong, Matthew Tak Vai Chan, William Ka Kei Wu
Summary: This article summarizes lncRNA profiling studies on AS and the functional roles and mechanisms of key lncRNAs in AS pathogenesis. They may serve as new biomarkers for the diagnosis and prediction of outcomes in AS, and have the potential to be druggable targets.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Microbiology
Olabisi Oluwabukola Coker, Changan Liu, William Ka Kei Wu, Sunny Hei Wong, Wei Jia, Joseph J. Y. Sung, Jun Yu
Summary: This study identifies gut microbiota-associated metabolites and their role in colorectal carcinogenesis. Additionally, the integrated analysis of metabolomics and metagenomics profiles reveals the perturbation of gut metabolites and their association with gut microbiota along colorectal carcinogenesis. Fecal metabolites show potential for non-invasive diagnosis of colorectal neoplasia.
Review
Biochemistry & Molecular Biology
Derong Xu, Xuexiao Ma, Chong Sun, Jialuo Han, Chuanli Zhou, Sunny Hei Wong, Matthew T. V. Chan, William K. K. Wu
Summary: This review discusses the recent progress in the functions and mechanisms of newly discovered circRNAs related to intervertebral disc degeneration (IDD). circRNAs play critical roles in cellular processes relevant to IDD development, such as nucleus pulposus cell proliferation and apoptosis, as well as extracellular matrix deposition. Increasingly, translational studies indicate that circRNAs could be used as novel biomarkers for diagnosing IDD and predicting its clinical outcomes.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2022)
