Statistical Evaluation and Trend Analysis of ANN Based Satellite Products (PERSIANN) for the Kelani River Basin, Sri Lanka by Helani Perera, Miyuru B. Gunathilake, Ravindu Panditharathne, Najib Al-mahbashi, Upaka Rathnayake

“…Satellite-based precipitation products, (SbPPs) have piqued the interest of a number of researchers as a reliable replacement for observed rainfall data which often have limited time spans and missing days. The SbPPs possess certain uncertainties, thus, they cannot be directly used without comparing against observed rainfall data prior to use. …”
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An Automated Compliance Framework for Critical Infrastructure Security Through Artificial Intelligence by Sardar Muhammad Ali, Abdul Razzaque, Muhammad Yousaf, Rafi Us Shan

“…Data preprocessing addressed duplicates and missing values, with validation via Pearson Correlation and Chi-square tests (Chi-square = 55.79, p = 0.0017). …”
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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

“…Inclusion criteria were participants aged over 40 with complete AO and CVD data; exclusions were those with missing key data. Analysis included 12 variables: age, gender, race, PIR, education, smoking, alcohol, BMI, hyperlipidemia, hypertension, diabetes, and AO. …”
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Development and external validation of the SMA2SH2ERS risk prediction model for aneurysmal subarachnoid haemorrhage in the general population: a population-based prospective cohort... by Kristiina Rannikmäe, Vita M. Klieverik, Jos P. Kanning, Ina L. Rissanen, Amy E. Martinsen, Bendik S. Winsvold, Mirjam I. Geerlings, Ynte M. Ruigrok

“…We aimed to develop and validate a risk prediction model for ASAH in the general population to identify high-risk individuals.Design We used the population-based prospective cohort studies of the United Kingdom (UK) Biobank for model development and the Trøndelag Health (HUNT) Study for model validation.Participants Participants missing data were excluded. A total of 456 856 individuals from the UK Biobank and 46 483 individuals from the HUNT Study were included.Primary and secondary outcome measures Incident ASAH identified using the International Classification of Diseases codes, ICD-9 430 and ICD-10 I600 to I609 codes.Results In the development cohort, ASAH occurred in 738 (0.2%) during 5 407 909 person-years of follow-up. …”
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Assessing the feasibility of using publicly available data sources to identify healthcare data discrepancies and enhance service delivery: a retrospective cross-sectional study of... by Sheila Leatherman, Matthew Neilson, Alix Boisson-Walsh, Jack Lewis

“…Senegal had the most comprehensive data, with 94.7% of metrics available. Missing data existed for two specific metrics in all four countries, particularly within the improving clinical care domain.Conclusion The results are a clarion call for advancing efforts to develop standardised, publicly available, routinely collected and validated data sets to measure and publicly report LHDIS countries’ state of quality to marshal global attention and action in pursuit of more significant health equity.…”
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Informing the development of diagnostic criteria for differential diagnosis of alcohol-related cognitive impairment (ARCI) among heavy drinkers: A systematic scoping review. by Lisa Jones, Lynn Owens, Andrew Thompson, Ian Gilmore, Paul Richardson

“…Uncertainty in attributing a diagnosis of suspected ARCI commonly arises in clinical practice and opportunities to intervene are missed. A systematic scoping review approach was taken to (i) summarise evidence relating to screening or diagnostic criteria used in clinical studies to detect ARCI; and (ii) to determine the extent of the research available about cognitive assessment tools used in 'point-of-care' screening or assessment of patients with suspected non-Korsakoff Syndrome forms of ARCI.…”
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Electroacupuncture Therapy Effectively Protects the Rat Brain after Intracerebral Hemorrhage by Li Huang, Xuehui Fan, Yao Chen, Heng Lin, Xiaoqian Jiang, Chaoxian Yang

“…We used modified neurological severity score (mNSS) and gait analysis to estimate neurological function in rats, and PET/CT to assess glucose uptake and the hemorrhagic focus volume. …”
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Carotid Artery Stenting Outcomes by Neurointerventional Surgeons (CASONI) by Mohamad Ezzeldin, Ameer E. Hassan, Ali Kerro, Maria Martucci, Muhammad Shazam Hussain, Osman Mir, Faheem G. Sheriff, Peter Kan, Chizoba Ezepue, Nazli A. Janjua, Kaiz S. Asif, Ramesh Grandhi, Ali Alaraj, Muhammad Niazi, Ossama Yassin Mansour, Michael Chen, Saif Bushnaq, Omar Tanweer, Adnan H. Siddiqui, Adam Delora, Rime Ezzeldin, Bains Navpreet, Varun Chaubal, Mohammad Ammar Abdulrazzak, Hamzah Saei, Gustavo J. Rodriguez, Mohammad AlMajali, Gautam Edhayan, Amer Al Shekhlee, Christopher Hadjialiakbari, Musaab Froukh, Walid K. Salah, Elsa Nico, Adrusht Madapoosi, Yazan Radiaideh, Darko Quispe‐Orozco, Oz Haim, Noel Garza, Alberto Maud, Morgan Rolon‐Newton, Benan Barakat, Tejas Gowda, Muhammad Monk, Zuhair Ali, Tunmi Anwoju, Osama O. Zaidat, Farhan Siddiq

“…Sensitivity analyses were performed for missing data. Results Between 2018 and 2022, 1445 CAS procedures were performed by 38 neurointerventionalists. …”
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Characterization and DNA barcoding of Zambian plant species used as inoculum in the traditional fermentation of Munkoyo; a cereal-based beverage by Mubonda Kalumbilo, David Chuba, Agripina Banda, Eddy J. Smid, Sijmen E. Schoustra, Gerlinde B. De Deyn

“…However, comprehensive information on the specific plant species used in different regions of Zambia, as well as their occurrence in terms of habitat and soil type, is missing. This gap limits our understanding of the factors contributing to Munkoyo’s heterogeneity. …”
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The Tasmanian Estuary Perch Population—A Threatened Species? by Jonah L. Yick, Bryan Van Wyk, James Haddy

“…Although three strong age classes were detected (five, eight and twenty-three years), numerous weak and missing cohorts were apparent. This study also confirms this population has a delayed spawning season in comparison to mainland populations, with growth models and tag recaptures (32 fish) demonstrating a very slow but sexually dimorphic growth rate. …”
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Anti T-lymphocyte Globulin (Grafalon®) Use during Rabbit Anti-thymocyte Globulin (Thymoglobulin®) Shortage – A Single-center Experience by Shailendra Tiwari, Namrata S Rao, Abhilash Chandra, Majibullah Ansari, Sanjeet Kumar Singh

“…Clinical data were sourced from hospital information system, and only infections requiring hospital admissions were collected. Missing information was collected telephonically. …”
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Access control relationship prediction method based on GNN dual source learning by Dibin SHAN, Xuehui DU, Wenjuan WANG, Aodi LIU, Na WANG

“…With the rapid development and wide application of big data technology, users’ unauthorized access to resources becomes one of the main problems that restrict the secure sharing and controlled access to big data resources.The ReBAC (Relationship-Based Access Control) model uses the relationship between entities to formulate access control rules, which enhances the logical expression of policies and realizes dynamic access control.However, It still faces the problems of missing entity relationship data and complex relationship paths of rules.To overcome these problems, a link prediction model LPMDLG based on GNN dual-source learning was proposed to transform the big data entity-relationship prediction problem into a link prediction problem with directed multiple graphs.A topology learning method based on directed enclosing subgraphs was designed in this modeled.And a directed dual-radius node labeling algorithm was proposed to learn the topological structure features of nodes and subgraphs from entity relationship graphs through three segments, including directed enclosing subgraph extraction, subgraph node labeling calculation and topological structure feature learning.A node embedding feature learning method based on directed neighbor subgraph was proposed, which incorporated elements such as attention coefficients and relationship types, and learned its node embedding features through the sessions of directed neighbor subgraph extraction and node embedding feature learning.A two-source fusion scoring network was designed to jointly calculate the edge scores by topology and node embedding to obtain the link prediction results of entity-relationship graphs.The experiment results of link prediction show that the proposed model obtains better prediction results under the evaluation metrics of AUC-PR, MRR and Hits@N compared with the baseline models such as R-GCN, SEAL, GraIL and TACT.The ablation experiment results illustrate that the model’s dual-source learning scheme outperforms the link prediction effect of a single scheme.The rule matching experiment results verify that the model achieves automatic authorization of some entities and compression of the relational path of rules.The model effectively improves the effect of link prediction and it can meet the demand of big data access control relationship prediction.…”
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Revalidation and adaptation of the Menstrual Practice Needs Scale (MPNS) in a cross-sectional survey to measure the menstrual experiences of adult women working in Mukono District,... by Julie Hennegan, Kellogg J Schwab, Natalie G Exum, Simon P S Kibira, Fredrick E Makumbi, Justine N Bukenya, Petranilla Nakamya

“…Higher scores reflected more positive menstrual experiences and were associated with well-being (total score r=0.24, p<0.001), not missing work due to the last menstrual period (total score OR=2.47 95% CI 1.42 to 4.30) and confidence to manage menstruation.Conclusions The MPNS offers a valid and reliable way to assess menstrual health needs. …”
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Depletion of key gut bacteria predicts disrupted bile acid metabolism in inflammatory bowel disease by Daniel Peterson, Christopher Weidenmaier, Sonia Timberlake, Rotem Gura Sadovsky

“…These un-isolated clades of BA-transforming bacteria merit further research; as beyond their prevalence in the human population, we found some cases in which they engrafted in IBD patients who had undergone fecal microbiota transplantation and experienced a clinical response.IMPORTANCEIn this paper, we identify specific bacteria that perform an important metabolic function in the human gut and demonstrate that in the guts of a large subset of patients with IBD, these bacteria are missing and the function is defective. This is a rare example where the correlation between the absence of specific bacteria and the dysfunction of metabolism is directly observed, not in mice nor in the lab, but in physiologic microbial communities in the human gut. …”
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Clinical analysis of pulmonary mucosa-associated lymphoid tissue lymphoma coexisting with lung cancer by Heng Yang, Man-Hui Li, Qiu-Hong Li, Ke-Bin Cheng, Wei-Jun Cao

“…Conclusions In patients with pulmonary lesions, particularly multiple lesions, comprehensive preoperative evaluation is crucial to prevent misdiagnosis or missed diagnoses. Besides, surgical resection is desirable when both lung cancer and MALT are at an early stage and can be resected with minimally invasive surgery (minimally lung resection).…”
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Unambiguous identification of fungi: where do we stand and how accurate and precise is fungal DNA barcoding? by Robert Lücking, M. Catherine Aime, Barbara Robbertse, Andrew N. Miller, Hiran A. Ariyawansa, Takayuki Aoki, Gianluigi Cardinali, Pedro W. Crous, Irina S. Druzhinina, David M. Geiser, David L. Hawksworth, Kevin D. Hyde, Laszlo Irinyi, Rajesh Jeewon, Peter R. Johnston, Paul M. Kirk, Elaine Malosso, Tom W. May, Wieland Meyer, Maarja Öpik, Vincent Robert, Marc Stadler, Marco Thines, Duong Vu, Andrey M. Yurkov, Ning Zhang, Conrad L. Schoch

“…Important strategies to improve molecular identification of fungi are: (1) broadly document intraspecific and intragenomic variation of barcoding markers; (2) substantially expand sequence repositories, focusing on undersampled clades and missing taxa; (3) improve curation of sequence labels in primary repositories and substantially increase the number of sequences based on verified material; (4) link sequence data to digital information of voucher specimens including imagery. …”
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Study of the influence of psychological factors on women’s purchasing decisions during e-commerce livestream by L. Jiang, P. Loahavilai, P. Udomwong

“…Psychological characteristics include emotionality while watching (68.3% of respondents), fear of missing out on a good deal (58.3% of respondents) and being influenced by other viewers and streamers (74.2% trust recommendations). …”
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Anterior glenoid rim resorption after arthroscopic Bankart repair by the footprint fixation technique and its correlation with the healing of the repaired capsulolabral complex: a... by Takehito Hirose, MD, PhD, Makoto Tanaka, MD, PhD, Hidekazu Nakai, MD

“…From 44 shoulders, we included 23 after excluding 14 with preoperative bony Bankart lesions and 7 with missing postoperative imaging. We used 3-dimensional computed tomography scans to calculate the change in glenoid width (Δ%) due to anterior glenoid rim change from baseline to 3 months postoperatively and images from magnetic resonance arthrography, which was performed at around 5 months postoperatively, to evaluate CLC healing according to a 3-point grading scale (good, 3 points; fair, 2 points; poor, 1 point) on 6 oblique axial slices perpendicular to the glenoid long axis. …”
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Interprofessional collaborative practice in health and social care for people living with multimorbidity: a scoping review protocol by Josephine-L. K. Murray, Virginia Hernandez-Santiago, Frank Sullivan, Joanna Hornal, Farhana Badshah, Ben Keatley, Jillian Galbraith, Pam Channer, Anne Fearfull, Anne Haddow, Eleanor Johnston, Maureen Ward, Veronica O’Carroll

“…Hand searching will be performed on all included full-text articles for any articles missing from the two steps above. Critical data will be extracted by adapting existing data abstraction forms based on the needs of the research objectives. …”
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A pilot study examining Toronto-area family physician perspectives on thyroid neoplasm evaluation by Arjun Kundra, David P. Goldstein, Kimberly Wintemute, Sangeet Ghai, Richard W. Tsang, Karuna Gupta, Donatus R. Mutasingwa, Jeff Weissberger, Ella Huszti, Patrick Brown, Huan Jiang, Anna M. Sawka

“…Results The overall response rate was 22.3, 95% confidence interval (CI) 18.0, 27.4% (67/300); the effective response rate was 19.9, 95% CI 15.7, 24.9% (58/291), after excluding 6 FPs that reported TN evaluation was outside their scope of practice and three FPs with an invalid mailing address. There were no missing responses to questions. The demographic characteristics were as follows: 58.6% (34/58) from Markham, 55.2% (32/58) were female, 58.6% (34/58) were in practice > 10 years, and 32.8% (19/58) affiliated with a University. …”
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