Numerous Databases Research Articles

Merging textual and numerical databases: a steppingstone for statistical analyses of illegal events

Abstract This paper aims to define a methodological path—merging judgments and official statistical data—to organize complete, objective, and reliable data in a database, thus simplifying the analysis of illegal social phenomena. Judiciary judgments are a new data source: they deal with illegal events that describe social phenomena—even if they are only the "illegal" ones—and contain objective and reliable data and information. Judiciary judgments are also texts, so the first step is a statistical textual analysis and text mining techniques to discover information and organize it in a statistical database. The final database is obtained by integrating numerical data from other information sources. It therefore has statistical properties such as reliability, completeness and updating. Subsequent statistical analyses or modelling are then possible based on the entire set or subsets of data adequately extracted from the implemented statistical database. We present some results obtained from judgments about corruption in order to demonstrate the advantages of linking textual databases (textual analyses on judgments) and numerical databases (from ISTAT). The proposed methodology can benefit different stakeholders, such as researchers, policymakers, and other enforcement actors. It is independent of the specific software used and remains valid when applied to other illegal activities (e.g., organized crime, tax crime, and money laundering). Furthemore, the results may be even more effective if the institutional actors involved have access to judgments at all levels, thus overcoming potential privacy concerns. The methodology could also be used to support evidence-based policy in the fight against crime and illegal activities.

Conflicting data and new ways of digitising Byzantine prosopography

AbstractThis paper aims to illustrate the abilities and practicability of digital prosopographical databases through the case of historical dates. Numerous historical databases were created in the last few decades, and they applied different models to record and store historical data in an effective way. Although the developers and researchers of these projects faced several problems due to a conflict between the characteristics of structured databases and the nature of historical evidence and historical studies. The paper compares the methodologies of two databases, PBW and RELEVEN through the cases of the death of John of Bari and Bisantius Guirdeliku. The primary sources provide conflicting dates of these events. Thus, the analysis can address the issues of interpretation and authority behind a piece of information.

Metaverses in higher education system for México

The Meta-verse in Higher Education in Mexico seeks to define, analyze, and identify how higher education institutions are facing Meta-verses. This study also suggests a thorough evaluation of the scientific literature, including recent studies from numerous specialized databases on the Metaverse in higher education. An exploratory systematic literature review study of an educational phenomena was conducted using the methodological design. where the findings of different research are content analyzed. The research findings suggest that Mexican higher education institutions are progressively incorporating a variety of pedagogical methods, such as content digitization, online learning platforms, augmented reality, lifelogging, mirror world, and virtual reality. Nevertheless, opportunities and challenges are noted. The first includes opposition to change, increased spending on digital skills, technology infrastructure, and global vision; the second includes learning personalization, interinstitutional cooperation, virtual reality, and mirror worlds. Finally, the study offers a useful framework for further investigation to direct choices on educational technology.

Dynamic stochastic model of allometric equations and cumulative distribution for biomass-carbon in Pinus hartwegii Lindl., facing climate change

Objective: to construct a dynamic stochastic model with validated biospheric-interaction, estimating allometric equations for the total volumetric increase and cumulative distribution of biomass for Pinus hartwegii Lindl in the states of Mexico and Puebla, considering climate change. Design/ Methodology/ Approach: the methodology included the use of SiBiFor numerical databases, NASA Power data, Ordinary Least Squares mathematical models, the Random-Forest software, Ridge model with regression, R algorithms and Newton volumetric estimation equations. Results: estimated allometric equations were obtained for the total volume of trees in 2023, highlighting the importance of linear regression models and the validity of the variables used. Newton's mathematical equations and theoretical models for excurrent tree-form types were found to have the best accuracy in estimating the total volume of the barked tree. Limitations of the study/ Implications: this study has limitations in terms of generalization to other forest types and the availability of data in Mexico. However, it highlights the importance of understanding forest responses to environmental changes and the need for validated dynamic stochastic models to estimate allometric equations and assess carbon sequestration. Findings/ Conclusions: this study highlights the importance of understanding and assessing the carbon storage capacity of forests, especially in the context of climate change. In addition, it underlines the usefulness of linear regression models and variable validation to estimate carbon sequestration in Pinus hartwegii forests.

Ethnomedicinal uses, Pharmacological activity, and Analytical aspects of Galuteolin: A Natural Flavonoid of Medicinal Importance

Background: Nature is the best source of all raw materials that we need for growth, development, and better health. Flavonoids are an important class of phytochemicals found to be present in plants and their derived byproducts. Lonicera japonica and its active phytochemicals possess antiviral, anti-endotoxin, anti-pyretic, and blood fat-reducing properties in medicine. Moreover, Galuteolin is a natural flavonoid that has anti-oxidant, anti-tumor, anti-infective, and antiinflammatory potential. Methods: In the present review article, we have collected all scientific information on galuteolin from different scientific databases and analyzed it to know the biological importance and therapeutic benefit of galuteolin in medicine against human disorders. Scientific data on galuteolin were collected from numerous literature databases, such as Google, Google Scholar, PubMed, Scopus and Science Direct. Detailed pharmacological data on galuteolin were collected from these scientific sources and analyzed in the present work to know the health-beneficial aspects of galuteolin in medicine. In addition, scientific data on analytical techniques of galuteolin were also collected and analyzed in the present work to know their importance in the separation, isolation, and identification of galuteolin in different plant materials. Results: The present work signified the biological importance of galuteolin in medicine and other allied health sectors. Pharmacological data analysis revealed the health-beneficial aspects of galuteolin on rheumatoid arthritis, cerebral ischemia, carcinoma, COVID-19, Atherosclerosis, and melanin biosynthesis. Further, intestinal absorption and pharmacokinetic parameters of galuteolin were also discussed in the present work. Analytical data signified the importance of newer and modern analytical techniques in medicine for the qualitative and quantitative analysis of galuteolin in different biological samples. Conclusion: Scientific data analysis of galuteolin revealed its biological importance and therapeutic benefit in medicine.

Integrating Data Mining and Network Pharmacology for Traditional Chinese Medicine for Drug Discovery of Diabetic peripheral neuropathy

The purpose of this study was to examine the therapeutic potential of core traditional Chinese medicine (CTCM) in the treatment of diabetic peripheral neuropathy (DPN) through the use of a data-driven approach that combined network pharmacology and data mining. Important components of traditional Chinese medicine (TCM) and the targets that correspond with them were found through the examination of numerous databases and clinical prescriptions. The possible therapeutic pathways were investigated, with an emphasis on the AGE-RAGE pathway that was discovered via network pharmacology analysis. By evaluating histopathological alterations, inflammatory and apoptotic markers, microcirculation, and blood hypercoagulability in a rat model of DPN, the effectiveness of CTCM was confirmed.Through experimental validation in DPN rats, it was shown that CTCM improved histopathology, decreased inflammation and apoptosis, improved microcirculation, and corrected coagulation abnormalities in addition to alleviating neuropathic pain. These studies show the value of data-driven approaches in advancing traditional medicine research for drug development and offer a mechanistic basis for CTCM's therapeutic potential in DPN.

Supplemental n-3 polyunsaturated fatty acids: Clinical implications and best practices for adult patients with cancer

Abstract Background The purpose of this report is to summarize the evidence supporting supplementation of n-3 polyunsaturated fatty acids (n-3 PUFAs) in adult cancer patients, and to offer a better understanding of the appropriate use of n-3 PUFAs in the clinical setting. Methods Numerous databases were searched for guidelines, clinical decision-making documents, systematic reviews, expert consensus statements, and best evidence summaries about the use of n-3 PUFAs in cancer patients from the inception of the database to December 31, 2023. Evidence grading and recommendation rating were conducted. The data extracted included the timing of supplementation, symptom management, disease prevention, cost-effectiveness, route of administration, application scenarios, dosage, and safety. Results The collected data show that n-3 PUFAs are safe for patients receiving chemotherapy who are at risk of malnutrition and cachexia. Moreover, n-3 PUFA supplementation can alleviate the adverse symptoms associated with chemotherapy, extend survival, and improve the quality of life of patients with cancer. Conclusions The administration of supplementary n-3 PUFAs should be considered based on the patient’s disease stage, treatment plan, nutritional status, and tolerance, as well as the dosage, route and application scenarios. Promoting the clinical use of n-3 PUFAs may improve the outcomes for patients with cancer.

Probabilistic modeling of hydrogen pipeline failure utilizing limited statistical data

The estimation of failure probability is vital for managing pipeline integrity during hydrogen transportation. However, due to the lack of dedicated failure statistics for hydrogen pipelines, accurate probability assessments remain challenging despite numerous national pipeline incident databases. In this work, a quantitative method was developed for assessing hydrogen pipeline failure probabilities, even with extremely limited statistical data. Critical influencing factors and base failure probabilities of hydrogen pipelines were identified with the Pipeline and Hazardous Materials Safety Administration (PHMSA) database. A modified parameter system was proposed to explore the multi-level failure mechanisms associated with structural degradation through statistical analysis tailored to hydrogen pipelines. With integrating Bayesian inference and fuzzy logic analysis, a novel virtual expert system model was developed to employ random sampling analysis for correcting failure probabilities, thereby deriving a correction coefficient. The use of numerical cases illustrates the proposed method's effectiveness and interpretability. This work aims to support decision-making to ensure the safe remaining lifespan of hydrogen pipelines.

Database of surface water diversion sites and daily withdrawals for the Upper Colorado River Basin, 1980–2022

The Colorado River drains about 8% of the conterminous United States, provides water for 40 million people, and is one of the most overallocated rivers in the world. As the upper Colorado River Basin (UCOL) contributes an estimated 92% of the total basin natural streamflow, knowledge of the location and amount of surface water withdrawals in the UCOL is important for managing the Colorado River system. Since the UCOL encompasses portions of five states, water use data are dispersed among numerous federal and state agency databases, and there is no centralized dataset that documents surface water use within the entire UCOL at a fine spatial and temporal resolution. This article presents an inventory of 1,358 major structures that divert surface water from and within the UCOL with corresponding daily time series withdrawal records from 1980 through 2022. Data compilation efforts, processing methods, and contents of this diversion database are documented, and summary information is provided.

The Computational Tools to Identify DNA Repeats and Motifs: A Systematic Review.

DNA repeats and motifs are specific nucleotide patterns/DNA sequences frequently present in the genomes of prokaryotes and eukaryotes. Computational identification of these discrete patterns is of considerable importance since they are associated with gene regulation, genomic instability, and genetic diversity and result in a variety of diseases/disorders. In this article, the myriad of computational tools/algorithms and databases (~200 distinct resources) implicated in the detection of DNA repeats and motifs have been enlisted. This article will not only provide guidance to the users regarding the accuracy, reliability, and popularity (reflected by the citation index) of currently available tools but also enable them to select the best tool(s) to carry out a desired task. The structured literature review, with its dependable and reproducible research process, allowed us to acquire 200 peer-reviewed publications from indexing databases, such as Scopus, ScienceDirect, Web of Science (WoS), PubMed, and EMBASE, by utilizing PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) regulations. Numerous keyword combinations regarding DNA repeats and motifs were used to create the query syntax. Initially, 3,233 research publications were retrieved, and 200 of them that satisfied the eligibility criteria for the detection and identification of DNA repeats and motifs by computational tools were chosen. A total of 200 research publications were recovered, of which 99 dealt with repeat prediction tools, 12 with repetitive sequence databases, 19 with specialized regulatory element databases, and 69 with motif prediction tools. This article lists numerous databases and computational tools/algorithms (~ 200 different resources) that are involved in the identification of DNA repeats and motifs. It will help users choose the appropriate tool(s) for carrying out a particular task in addition to offering guidance on the reliability, dependability, and popularity (as indicated by the citation index) of currently available tools.

Enhancing Emergency Room Mental Health Crisis Response: A Systematic Review of Integrated Models.

The integration of psychiatric treatment into emergency services is critical to improving the management of severe mental health emergencies. Emergency departments (EDs) are frequently the initial point of contact for patients with mental emergencies, but they are not always prepared to offer adequate care. This systematic review aims to analyze the effectiveness of collaborative care models (CCMs), psychiatric consultation-liaison (C-L) teams, and telepsychiatry in enhancing psychiatric treatment in emergencies. We searched numerous databases, including PubMed, PsycINFO, EMBASE, and the Cochrane Library, for papers published between 2013 and 2023. A total of 18 studies matched our inclusion criteria, and the results show that integrated care models shorten hospital stays, enhance patient outcomes, and expand access to psychiatric treatments, particularly in remote locations. The limitations of this review include the heterogeneity of study designs and the underrepresentation of low-income countries. Future research should focus on developing standardized protocols for psychiatric integration into emergency services. This review bridges a critical gap in the literature by offering a comprehensive evaluation of various psychiatric care models in EDs and addressing existing barriers to implementation.

The role of 18F-FDG PET/MRI in assessing pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: a systematic review and meta-analysis

Background and aimThe present study aimed to evaluate the use of 18F-2-[18F]-fluoro-2-deoxy-d-glucose (FDG) PET/MRI (Positron emission tomography-computed tomography) in predicting the pathological response to neoadjuvant chemotherapy (NAC) in patients with breast cancer (BC) compared to the use of MRI (Magnetic Resonance Imaging) alone.MethodsWe searched numerous databases, including PubMed, Scopus, Embase, and Science Direct, using curated keywords. The variance of each study was determined using the binomial distribution, and STATA version 14 was used to analyze the data by performing random-effect models. Additionally, we calculated study heterogeneity using the chi-squared test and I2 index and utilized funnel plots and Egger tests to assess publication bias.ResultsThe current investigation analyzed 239 patients from six published studies. The pooled estimated sensitivity and specificity of 18F-FDG PET/MRI was 0.91 (95% CI = 0.90 to 0.92, I2 = 100% and P = 0.000) and 0.62 (95% CI = 0.53 to 0.72, I2 = 99.8% and P = 0.000), respectively. Pooled sensitivity and specificity of MRI were 0.78 (95%CI = 0.59 to 0.96, I2 = 100% and P = 0.000) and 0.56 (95%CI = 0.33 to 0.80, I2 = 99.8% and P = 0.000), respectively.ConclusionsBased on our findings, the combined form of 18F-FDG PET/MRI imaging is more sensitive and specific than MRI alone for predicting response to NAC in BC patients.

Heat Index Levels and Heat – Related Risks in the Philippines

Using a systematic literature review, this study determined and establish the Health Index Levels and Heat – Related Health Risks in the Philippines.  Background. The heat index which is also called as the visible temperature is well-defined as a personalized, subjective experience of a person when comparative humidity is correlated with the temperature of the air. The incidence and intensity of life-threatening incidents especially escalated heat index are growing all around the world which ultimately poses a serious risk to the health of people.  Aim. The aim of this review was to explore and deliberate the relationship between the heat index, a measure that combines air temperature and relative humidity to approximate the apparent temperature, and the risk of heat-related health issues in the Philippines from published articles between 2019 – 2024.  Data Sources. A systematic search of primary articles on numerous electronic databases that included Google Scholar and other related engines. Grey literature was also connected based on the references available and bibliographies from the different articles were also included in the pooling of literature of data.  Method. The article included two (2) or more of the key search terms identified: heat exhaustion, heat stroke, health related risks, heat index , and lastly published from years 2019-2024.  Results. Analysis of the research articles were used to answer the effect of the heat index in the risk of heat exhaustion, the effect of the heat index in the risk of stroke and formulation of research - based recommendations on Heat Index Levels and Heat - Related Health Risks in the Philippines.  Acknowledgment: The authors of this systematic literature review thanks and recognize all the writers of the variety of references that were used in this review paper. The proponents these data sources used in this paper are both cited in the text and in the reference lists.  Disclaimer: The beliefs and point of view manifested in this paper are those of the authors and do necessarily indicate the official guidelines or stand of any affiliated institution, organization or agency of the authors.  Conflict of Interest: The authors have not anything to proclaim. This paper is a collaborative effort of the authors mentioned above.

The promise and peril of Coding & Robotics education in South Africa: A scoping review of teacher preparation and generative artificial intelligence's potential for delivering equity

Integrating the Coding & Robotics (C&R) subject in South African schools signifies the nation's commitment to Fourth Industrial Revolution preparedness. However, challenges like inadequate teacher preparation and limited technological infrastructure must be addressed to ensure equity. Although Generative Artificial Intelligence (GenAI) may not address the infrastructural deficiencies directly, in this scoping review we examine its potential to complement existing resources and support teachers in delivering C&R instruction. Following Arksey and O'Malley's framework, we conducted a systematic literature search in numerous databases, followed by a screening procedure: 10 of the 61 eligible papers satisfied the inclusion criteria. Our findings reveal that GenAI can optimise C&R teacher development through personalised learning, content generation, feedback on teaching methods, and fostering collaboration with other teachers. Despite its potential, issues including equity, ethical concerns, technological fluency gaps, and overreliance on GenAI tools, must be navigated to enhance equitable C&R instruction and prepare learners for the digital era.

Comparison of the efficacy and safety of mini-percutaneous nephrolithotomy versus retrograde intrarenal surgery for the treatment of kidney stones in overweight or obese patients: a systematic review and meta-analysis.

To discuss the differences in the effectiveness and security of kidney stones in overweight or obese patients by mini percutaneous nephrolithotomy (MiniPCNL) and retrograde intrarenal surgery (RIRS). We exhaustively searched numerous databases, including PubMed, Embase, Web of Science, Cochrane Library, and CNKI, covering all records from their initiation date until September 2023. This included controlled trials focusing on the use of MiniPCNL and RIRS in the treatment of kidney stones in overweight or obese patients. The gathered data was then analyzed using the Review Manager 5.4 software. 9 studies including 1122 patients were included. Meta-analysis showed that: The MiniPCNL group had higher overall complications, grade I complications, length of hospital stay(LOS), first stone-free rate (SFR), and final SFR in obese patients, with no significant difference between the two groups in terms of operative time(OT), hemoglobin drop, and grade II complication rate. There were more overall complications, grade I complications, final SFR, and LOS with MiniPCNL in patients with stones > 2cm compared to no significant difference in grade II complications. MiniPCNL performed in the prone position had higher final SFR, less OT, hemoglobin drop, and no statistically significant difference in overall complications or LOS. Sheaths using > 14F had higher overall complication rates, final SFR, and LOS, and no statistical differences in OT and first SFR between the two modalities. In the MiniPCNL subgroup aged ≤ 50 years, there were higher first SFR, final SFR, and shorter OT, and in the MiniPCNL subgroup aged > 50 years, there were more OT, LOS, and hemoglobin drop, with no statistical difference in overall complications between the two groups. Our study showed that MiniPCNL in obese patients had higher initial SFR and final SFR, fewer procedures, but more postoperative complications, LOS, and grade I complications compared with RIRS. Similar results were seen in patients in the prone position, with stones > 2cm and age ≤ 50 years. [ https://www.crd.york.ac.uk/PROSPERO/ ], identifier PROSPERO (CRD42023467284).

American Society for Microbiology evidence-based laboratory medicine practice guidelines to reduce blood culture contamination rates: a systematic review and meta-analysis.

SUMMARYBlood cultures (BCs) are one of the critical tests used to detect bloodstream infections. BC results are not 100% specific. Interpretation of BC results is often complicated by detecting microbial contamination rather than true infection. False positives due to blood culture contamination (BCC) vary from 1% to as high as >10% of all BC results. False-positive BC results may result in patients undergoing unnecessary antimicrobial treatments, increased healthcare costs, and delay in detecting the true cause of infection or other non-infectious illness. Previous guidelines from the Clinical and Laboratory Standards Institute, College of American Pathologists, and others, based on expert opinion and surveys, promoted a limit of ≤3% as acceptable for BCC rates. However, the data supporting such recommendations are controversial. A previous systematic review of BCC examined three practices for reducing BCC rates (venipuncture, phlebotomy teams, and pre-packaged kits). Subsequently, numerous studies on different practices including using diversion devices, disinfectants, and education/training to lower BCC have been published. The goal of the current guideline is to identify beneficial intervention strategies to reduce BCC rates, including devices, practices, and education/training by providers in collaboration with the laboratory. We performed a systematic review of the literature between 2017 and 2022 using numerous databases. Of the 11,319 unique records identified, 311 articles were sought for full-text review, of which 177 were reviewed; 126 of the full-text articles were excluded based on pre-defined inclusion and exclusion criteria. Data were extracted from a total of 49 articles included in the final analysis. An evidenced-based committee's expert panel reviewed all the references as mentioned in Data Collection and determined if the articles met the inclusion criteria. Data from extractions were captured within an extraction template in the US Agency for Healthcare Research and Quality's Systematic Review Data Repository (https://srdr.ahrq.gov/). BCC rates were captured as the number of events (contaminated samples) per arm (standard practice versus improvement practice). Modified versions of the National Heart, Lung, and Blood Institute Study Quality Assessment Tools were used for risk of bias assessment (https://www.nhlbi.nih.gov/health-topics/study-quality-assessment-tools). We used Grading of Recommendations, Assessment, Development and Evaluations to assess strength of evidence. There are several interventions that resulted in significant reduction in BCC rates: chlorhexidine as a disinfectant for skin preparation, using a diversion device prior to drawing BCs, using sterile technique practices, using a phlebotomy team to obtain BCs, and education/training programs. While there were no substantial differences between methods of decreasing BCC, our results indicate that the method of implementation can determine the success or failure of the intervention. Our evidence-based systematic review and meta-analysis support several interventions to effectively reduce BCC by approximately 40%-60%. However, devices alone without an education/training component and buy-in from key stakeholders to implement various interventions would not be as effective in reducing BCC rates.

Exploring Culture and Sustainability: Community Participation in Indigenous Tourism in Malaysia

Nowadays, Indigenous tourism contributes to the conservation of cultural heritage and further supports sustainable development for Indigenous communities, which ultimately increases socio-economic well-being. By providing unique cultural experiences, Indigenous tourism gives greater recognition and respect for the culture while also economically benefiting. This paper aims to examine how such dynamics operate in the context of Indigenous tourism from the viewpoint and experiences of Indigenous community members who participated in tourism initiatives. Identifying culture as one of the crucial parameters that determine successful outcomes in this field, this study intends to explore how people participate in sustainable development through tourism and close important gaps using a cultural lens. Numerous databases containing scholarly research, including the Emerald Insights, Science Direct, and Web of Science, have been used in this study. As a response to the ever-growing call for inclusive and respectful tourism, this study aims to contribute valuable insights and geographical relevance to defining policy change, practice modifications, or academic pursuits of Indigenous tourism. The result of this study will fill crucial empirical research gaps in terms of how cultural restoration, tourism management, and community participation can be optimized for sustainable development with nuanced voices that are necessary to drive policy change as well as practice modifications.

Incidence of head and neck cancer among Baquba Teaching Hospital Patients

Background: Squamous cells lining the tissues of the head and neck region, such as the nasal cavity, paranasal sinuses, oral cavity, lip, salivary glands, and hypopharynx, give growth to a group of malignancies together recognized as squamous cell carcinoma of the head and neck, which is the seventh utmost communal cancer diagnosis around the world. Objective: Determine the prevalence of head and neck cancer in Diyala province during 2022-2023 and their distribution according to age and gender of patients. In addition, this study aimed to identify the numbers of each type of head and neck cancer. Patients and Methods: A retrospective study achieved on the prevalence of head and neck cancer in the region accomplished in oncology center of Baquba teaching hospital in Diyala province, Iraq. Head and neck cancer patients recorded from 2022 to 2023. During this dated, a total of 172 patients were recorded. A search was accomplished on numerous databases, moreover, the information evaluated by age, gender and cancer type. Results: Regarding patients during 2022 (first group) which is contained of (94) patients with different head and neck cancer, 38(40.4%) were males and 56(59.6%) were females with statistically significant relationship. The patients during 2023 (second group) comprises of (78) patients with different head and neck cancer, 43(50.1%) were men and 35(44.9%) were women with statistically no significant correlation. Conclusion: Oral and pharyngeal cancer is more common in men than in women. The most common age group is 4th and 5th decade for head and neck cancer.

Association of ADIPOQ Single Nucleotide Polymorphisms (SNPs) with Obesity Risk in Different Populations: A Systematic Review and Analysis.

Thirty-two single nucleotide polymorphisms (SNPs) are commonly found in ADIPOQ. APN levels are decreased in obesity, and SNPs of the ADIPOQ gene affecting APN have varying associations with the development of obesity in different populations. This systematic review and meta-analysis aimed to investigate the association of SNPs in ADIPOQ with the risk of obesity development in various populations. A systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist date up to Feb 2023. We used the Newcastle-Ottawa scale to find out if a study fit the main criteria for submission and to assess the data quality of the articles included in the systematic review and meta-analysis. Odds ratios (OR) and 95% confidence intervals (CI) were calculated via Review Manager (RM) V.5.4 to estimate the connection between ADIPOQ polymorphic qualities of a gene and the risk of developing obesity. The present study analysed the association between ADIPOQ polymorphisms (rs1501299, rs2241766, rs266729, rs822393, and rs822396) and obesity risk and suggested that APN is partially responsible for the emergence of obesity and increases its risk. It is important to take into account several limitations of this meta-analysis when evaluating the findings. First off, even though we looked through numerous databases for all relevant papers, there is a chance we overlooked some. Our capacity to arrive at more firm conclusions was further hampered by the small number of papers that made up our meta-analysis. The most current data, however, are presented in this study since it used newly published data to perform a meta-analysis and evaluate the relationship between ADIPOQ polymorphisms and obesity.

Dual-agent intelligent fire detection method for large commercial spaces based on numerical databases and artificial intelligence

Fires in commercial buildings can lead to significant casualties and property damage. Thus, rapidly and accurately identifying the source of a fire and its intensity is crucial for guiding rescue operations. This study aims to explore the use of distributed fiber optic temperature sensing systems, combined with deep learning algorithms, to predict key information about fires in commercial buildings, including the location of the fire source, the intensity of fire development, and the critical planar distribution of carbon monoxide. Based on the Fire Dynamic Simulation (FDS) data, a dual-agent model was developed, and with a sensor sampling interval of 3 s, 30 s of historical data achieved prediction accuracies of 94.23 % for fire intensity and 99.28 % for fire location. Upon reducing the intervals for fire location, the accuracy reached 93.56 %. Additionally, the Random Forest algorithm for mapping carbon monoxide distribution demonstrated an overall Mean Absolute Percentage Error (MAPE) of 5.87 %. Within the 0–150 ppm range, the MAPE was 2.46 %, far below the error levels of existing CO sensors. The database configurations and the sensors' spatiotemporal arrangement were also optimized to rapid and reliable fire prediction. This research demonstrates the feasibility of using artificial intelligence for critical fire scene information detection.