Specific Categories Research Articles

The economic impact of cannabis use disorder and dementia diagnosis in veterans diagnosed with traumatic brain injury.

Studies have demonstrated that individuals diagnosed with traumatic brain injury (TBI) frequently use medical and recreational cannabis to treat persistent symptoms of TBI, such as chronic pain and sleep disturbances, which can lead to cannabis use disorder (CUD). We aimed to determine the Veterans Health Administration (VHA) healthcare utilization and costs associated with CUD and dementia diagnosis in veterans with TBI. This observational study used administrative datasets from the population of post-9/11 veterans from the Long-term Impact of Military-Relevant Brain Injury Consortium-Chronic Effects of Neurotrauma Consortium and the VA Data Warehouse. We compared the differential VHA costs among the following cohorts of veterans: (1) No dementia diagnosis and No CUD group, (2) Dementia diagnosis only (Dementia only), (3) CUD only, and (4) comorbid dementia diagnosis and CUD (Dementia and CUD). Generalized estimating equations and negative binomial regression models were used to estimate total annual costs (inflation-adjusted) and the incidence rate of healthcare utilization, respectively, by dementia diagnosis and CUD status. Data from 387,770 veterans with TBI (88.4% men; median [interquartile range (IQR)] age at the time of TBI: 30 [14] years; 63.5% white) were followed from 2000 to 2020. Overall, we observed a trend of gradually increasing healthcare costs 5 years after TBI onset. Interestingly, in this cohort of veterans within 5 years of TBI, we observed substantial healthcare costs in the Dementia only group (peak = $46,808) that were not observed in the CUD and dementia group. Relative to those without either condition, the annual total VHA costs were $3,368 higher in the CUD only group, while no significant differences were observed in the Dementia only and Dementia and CUD groups. The findings suggest that those in the Dementia only group might be getting their healthcare needs met more quickly and within 5 years of TBI diagnosis, whereas veterans in the Dementia and CUD group are not receiving early care, resulting in higher long-term healthcare costs. Further investigations should examine what impact the timing of dementia and CUD diagnoses have on specific categories of inpatient and outpatient care in VA and community care facilities.

More is better but in what direction? The effects of relationship marketing investment breadth and depth on customer gratitude

Relationship marketing is an important strategy salespeople use to develop and maintain sustainable customer relationships. Accordingly, they invest significantly in relationship marketing activities to prompt positive perceptions from their customers. However, salespeople often face resource limitations, which restrict their ability to effectively invest in relationship marketing activities. Building on this premise, we propose that salespeople may choose two different strategies to capitalize on their investments in relationship marketing: broadly investing in multiple categories without deep commitment or deeply investing in specific categories at the expense of wide coverage. Given their specific focus, we argue that these two strategies influence customer perceptions differently. Furthermore, we suggest that their effectiveness is contingent on customers' orientation in inter-firm interactions. Using data collected from 183 organizational customers, we find robust evidence supporting our hypotheses.

Food Traceability Rule Overview: A Guide for Florida Food Industry

The FSMA's Traceability Rule, finalized in 2022, aims to establish a comprehensive system for tracking specific foods along the value chain from farm to fork, to prevent and respond to foodborne illnesses more effectively. The industry should implement the rule by 2026. This revision is part of the FDA's New Era of Smarter Food Safety blueprint and implements Section 204(d) of the FDA Food Safety Modernization Act (FSMA). The FDA's Final Traceability Rule initially focuses on specific food categories identified as higher risk for contamination and foodborne illnesses. These categories are referred to as the "Food Traceability List" (FTL). In this EDIS publication, we have provided to the food industry background information and an overview of the rule's key components and the foods covered by it. Additionally, available resources have been compiled in a table to help the industry understand the rule better and find more information about it.

Трудовая функция как трудоправовой элемент профессиональной деятельности судьи

The article covers the specifics of labor function as a key Labor Law element of the Judge’s professional activity, described as a conjunction of Public Law and Labor Law components. The Author determines compulsory as well as optional elements of labor function of the Judges as a special category employees endowed with special public authority. It is noted that Public Law and Labor Law components of the Judges’ labor function are interconnected, delivering justice as the main function is performed within Labor institutes field.

Inefficiency Analysis of Tax Efforts in Special Category States of India: Evidence from a Stochastic Frontier Model

The current article examines the tax efforts of India’s main mountainous states that have been accorded special category status by the National Development Council. These states have been under persistent budgetary pressure and are partially reliant on central funds in the form of grants in ‘aid’ and other central transfers. The present article employs the Stochastic Frontier Analysis (SFA) model to assess ‘tax effort’ of special category states. The model results implied that ‘tax effort’ rises with increase in the share of secondary sector, revenue expenditure and road infrastructure. Further, the level of debt lowers ‘tax effort’, whereas the introduction of FRBM and Goods and Service Tax Regime (GST) has raised the inefficiency in own tax mobilization. On the basis of tax effort index, computed through John Drew (JLMS) methodology, this study also indicates that Assam, Uttarakhand, and Jammu and Kashmir are in a far better position in tax efforts score compared to the north eastern special category states. JEL Codes: H2, H21, H22, H71

Concordance in Medical Urgency Classification of Discharge Diagnoses and Reasons for Visit

Current policies to divert emergency department (ED) visits for less medically urgent conditions to more cost-effective settings rely on retrospective adjudication of discharge diagnoses. However, patients present to the ED with concerns, making it challenging for clinicians. To characterize ED visits based on the medical urgency of the presenting reasons for visit and to explore the concordance between discharge diagnoses and reasons for visit. In this retrospective, cross-sectional study, a nationwide sample of ED visits by adults (aged ≥18 years) in the US from the 2018 and 2019 calendar years' ED data of the National Hospital Ambulatory Medical Care Survey was used. An algorithm to probabilistically assign ED visits into medical urgency categories based on the presenting reason for visit was developed. A 3-step, look-back method was applied using an updated version of the New York University ED algorithm, and a map of all possible discharge diagnoses to the same reasons for visit was developed. Analyses were conducted in July and August 2023. The main outcome was probabilistic medical urgency classification of reasons for visits and discharge diagnoses and their concordance. We analyzed 27 068 ED visits (mean age, 48.2% years [95% CI, 47.5%-48.9% years]) representing 190.7 million visits nationwide. Women (mean, 57.0% [95% CI, 55.9%-58.1%]) and patients with public health insurance coverage, including Medicare (mean, 24.9% [95% CI, 21.9%-28.0%]) and Medicaid (mean, 25.1% [95% CI, 21.0%-29.2%]), accounted for the largest share of ED visits, and a mean of 13.2% (95% CI, 11.4%-15.0%) of all visits resulted in a hospital admission. Overall, about 38.5% and 53.9% of all ED visits were classified with 100% and 75% probabilities, respectively, as injury related, emergency care needed, emergent but primary care treatable, nonemergent, or mental health or substance use disorders related based on discharge diagnosis compared with 0.4% and 12.4%, respectively, of all encounters based on patients' reason for visit. Among discharge diagnoses assigned with high certainty to only 1 urgency category using the New York University ED algorithm, between 38.0% (95% CI, 36.3%-39.6%) and 57.4% (95% CI, 56.0%-58.8%) aligned with the probabilistic categorical assignments of their corresponding reasons for visit. In this cross-sectional study of 190.7 million ED visits among adults aged 18 years or older, a smaller percentage of reasons for visit could be prospectively categorized with high accuracy to a specific medical urgency category compared with all visits based on discharge diagnoses, and a limited concordance between reasons for visit and discharge diagnoses was found. Alternative methods are needed to identify the medical necessity of ED encounters more accurately.

Revisiting the definition of dyslexia.

The International Dyslexia Association definition of dyslexia was updated 20years ago and has been referenced frequently in research and practice. In this paper, researchers from the Florida Center for Reading Research consider the components of the definition and make recommendations for revisions. These include recognizing the persistence of word-reading, decoding, and spelling difficulties, acknowledging the multifactorial causal basis of dyslexia, clarifying exclusionary factors, and denoting comorbidity with other developmental disorders. It is also suggested that the academic and psychosocial consequences of dyslexia be highlighted to reinforce a preventive service delivery model. Lastly, the inclusion of dyslexia within a specific learning disability category is supported.

Organic toxicants and emerging contaminants in hospital interiors before and during the SARS-CoV2 pandemic: alkanes and PAHs.

Indoor pollution and deposition dust (DD), in particular, are acquiring concern, due to long exposure time and importance of intake by humans through contact and ingestion. Hospitals look a special category of sites, owing to peculiar contaminants affecting them and to presence of people prone to adverse effects induced by toxicants. Four in-field campaigns aimed at understanding the chemical composition of DD were performed in five Italian hospitals. Measurements were performed before (autumn 2019), during (spring 2021), and after (winter 2022) the peak of SARS-CoV2 and when restrictions caused by pandemic were revoked (winter 2023). Parallel measurements were made outdoors (2022), as well as in a university and a dwelling. Targeted contaminants were n-alkanes and polycyclic aromatic hydrocarbons (PAHs), while iso- and anteiso-alkanes were analyzed to assess the impact of tobacco smoking. Total n-alkanes ranged from 3.9 ± 2.3 to 20.5 ± 4.2mg/g, with higher percentages of short chain homologs in 2019. PAHs ranged from 0.24 ± 0.22 to 0.83 ± 0.50mg/g, with light congeners (≤ 228 a.m.u.) always exceeding the heavy ones (≥ 252 a.m.u.). According to carbon preference indexes, alkanes originated overall from anthropogenic sources. Microorganisms resulted to affect a hospital, and tobacco smoke accounted for ~ 4-20‰ of DD mass. As for PAH sources, the diagnostic concentration ratios suggested the concourse of biological matter burning and vehicle emission. Benzo[a]pyrene equivalent carcinogenic and mutagenic potencies of depositions at hospitals ranged ~ 9-39μg/g and ~ 15-76μg/g, respectively, which seems of concern for health. DD composition in hospitals was different from that outside the premises, as well as that found at university and at dwelling.

Continuity of care in suicide prevention: current status and future directions.

Continuity of Care (CoC) is central to suicide prevention. The present study aims to review contemporary definitions, operationalization in research, and key components of CoC in the prevention of suicide. The present study is a narrative review. A thorough search of available literature on CoC and suicidality was conducted. Studies published between 1995 and 2021 were reviewed and selected based on relevance to CoC and suicidality. Selected research was subsequently summarized to outline definitions of CoC, its operationalization in research, and key components for suicide prevention. The definition, measurement, and operationalization of CoC in suicide prevention varies tremendously, derailing clinical practice. Key elements of CoC identified across the literature include (1) CoC across multiple levels of care, (2) the role of primary care providers and case managers in CoC of suicidal patients, (3) the importance of follow up contact with suicidal patients post-treatment, and (4) the role of national and institutional guidelines for CoC of suicidal patients. Limitations: There is a dearth of randomized controlled trials and insufficient evidence on specific populations. CoC refers to a wide, complex concept that must be broken down into specific categories that can provide more nuanced guidance of research and clinical implications.

Tracing the origins of plastics in biosolids: The role of sewerage pipe materials and trade waste

Plastics are ubiquitous in virtually every environment on earth. While the specific sources of plastics entering wastewater are not well known, growing evidence suggests sewage sludge (biosolids) can be a sink for plastics. One potential source could be the sewerage pipe materials used to transport sewage between premises and wastewater treatment plants (WWTPs). To evaluate the significance of sewerage piping as a source of biosolids plastics concentrations, we compared the proportion of the total network (by length and surface area) of polyethylene (PE), polyvinylchloride (PVC), and polypropylene (PP) pipes from 10 WWTPs against their biosolids mass concentrations (mg plastic/g biosolid). Among the 10 catchments, the percentage of the network consisting of PP piping ranged from 0 to 1 %, with 0.8–21 % for PE, and 8–73 % for PVC. Biosolids plastics concentrations ranged from 0.09 to 8.62 mg/g (mg plastic/g biosolid) for PP and PE, respectively. For all three plastics, there was no significant Pearson correlation (r < 0.4) between the biosolids concentration (dry weight mg/g) and the proportion of the network material of the sewerage piping as plastic (either length or surface area). A comparison of trade waste entering a subset of 6 WWTP showed the highest biosolid principal components analysis (PCA) associations between loads of plastics (g/day) and automotive wash bays, general manufacturing, hospitals, laboratories, food manufacturing, laundry and dry cleaning, and cooling towers. A stepwise regression analysis indicated pipe length and surface area, as well as automotive wash bays and food manufacturing may be significant. While our data gave mixed results on the attribution of the sources of plastics entering WWTPs, it suggests that sewerage infrastructure and trade waste may play some role. Future studies should investigate the leachability of sewerage infrastructure and contributions from specific trade waste categories to determine their significance in plastics entering WWTPs.

Fish species mislabelling in China: evidence from a survey of frozen, dried, and surimi-based fish products marketed as cod-related species

‘Cod’-related species are among the most appreciated marine fish resources around the world, but are also prone to species mislabelling. In the present study, a total of 76 frozen, dried, and surimi-based fish products, sold as ‘Cod’ (59 products), ‘Atlantic authentic Cod’ (11 products), and ‘Authentic Cod’ (6 products), were collected in China. A species-specific LAMP (loop-mediated isothermal amplification) method was used to screen for the presence of Atlantic cod (Gadus morhua), Pacific cod (G. macrocephalus), Alaska pollock (G. chalcogrammus), Southern hake (Merluccius australis), which was cross-confirmed using real-time PCR and DNA sequencing methods. The results highlighted the greatest species diversity for ‘Cod’ products, and the identified species were from nine different families. It appears that the practice of assigning a specific type or category of species to the common name ‘Cod’ has not been widely advocated, and the misuse of this ambiguous common name has been a common practice for species adulteration, negatively impacting consumers’ rights and marine conservation. To rebuild consumers’ confidence, retail fish suppliers have differentiated their products by adding specific qualifiers in front of the common name ‘Cod’ on the label, such as ‘Authentic cod’ and ‘Atlantic authentic cod’. The endeavour is highly meaningful, since Gadus morhua was identified as the species for a significant majority of ‘Atlantic authentic cod’ and ‘Authentic cod’ products (64.7%, 11/17), with the remaining six products identified as Alaskan pollock (G. chalcogrammus), Pacific cod (G. macrocephalus) and North Pacific hake (Merluccius productus). Despite the positive effort to reverse species mislabelling from retail on-line fish suppliers, a standardized fish nomenclature stipulated by the responsible authorities remains crucial for enhancing transparency and continuing to reduce species mislabelling.

Research on the impact path of China’s environmental protection investment on green development—based on the perspective of industrial structure upgrading

As a special category of investment, environmental protection investment can provide important funds and technological support for a region, achieve green production, and promote green development. This article uses a benchmark regression model based on panel data from 30 provinces in China from 2007 to 2020 to analyze the impact of environmental protection investment on the level of green development. It specifically examines the effects of urban environmental infrastructure investment, industrial pollution control investment, and completion of environmental protection acceptance projects on the level of green development. It also explores how different regions can make use of environmental protection investment according to local conditions. Additionally, due to the spatial spillover effect of environmental protection investment, this article introduces the spatial Durbin model to study the spillover effects. Furthermore, in order to effectively promote green economic development through environmental protection investment, it is necessary to upgrade the industrial structure. Therefore, this article also uses the mediation effect model to explore the relationship between environmental protection investment, industrial structure upgrading, and the level of green development. The research findings are as follows: 1) environmental protection investment can promote the development of green level; 2) the various components of environmental protection investment have different effects on the level of green development. Urban environmental infrastructure investment has a promoting effect on the level of green economic development, while industrial pollution control investment and completion of environmental protection acceptance projects have a restraining effect; 3) environmental protection investment has a positive spillover effect in spatial terms, promoting the green development of surrounding areas while driving the local green development level; 4) as an important driving force for promoting green economic development, environmental protection investment relies on the support of industrial structure upgrading, and further optimization and upgrading of the industrial structure can achieve green economic development. Based on these findings, this article proposes that each region should increase environmental protection investment, implement the concept of green development, and leverage the positive impact of each component of environmental protection investment on local green development according to local conditions. At the same time, each region should also pay attention to the role of industrial structure upgrading and make rational use of environmental protection investment to promote green development.

Bioaccessibility-corrected probabilistic health risk assessment of dietary metal(loid) exposure in six major food groups in children from Northwest China

Dietary exposure to heavy metals and metalloids [metal(loid)s] deserves increased attention; however, there is a lack of a comprehensive understanding of the risks of dietary exposure from multi-type food intake and multi-metal(loid) exposure using a bioaccessibility-corrected method. Here, we determined the concentration and bioaccessibility of six toxic metal(loid)s in six major food groups in an industrial city with intensive smelting activity. By incorporating children’s dietary patterns, the probability distribution of health risks from dietary metal(loid)s exposure was assessed. Marked differences were observed in the dietary exposure characteristics within metal(loid)s and major food groups. Cereal and vegetables were the major food groups local children intake. Cereals, meat, beans, and aquatic products had the highest concentrations of Cu and Cd, Pb and Cr, Ni, and As, respectively. Generally, meat, eggs, and aquatic products exhibited higher bioaccessibility than cereals, beans, and vegetables. The bioaccessibility of metal(loid)s decreased in the following order: Pb > Cr > Cu > Ni > As > Cd. For non-carcinogenic risks, the average hazard index was 7.3, with 99.6% exceeding acceptable levels. Arsenic was the dominant risk element and aquatic product was the main risk source. The aggregated carcinogenic risk was 3.4 × 10–3, with Cr the major risk contributor and cereals and meat the dominant food sources. The findings demonstrated that (1) the metal(loid) dietary exposure risk of children from areas with intensive smelting activities should be taken seriously, and (2) it is necessary to identify the specific food category and metal(loid) based on a comprehensive analysis of the metal(loid) concentration and bioaccessibility, and dietary habits of the population to effectively reduce risk.

Decomposition of Extensive and Intensive Trade Margin Impacts of Chinas Agricultural OFDI

Economic theory indicates that some ambiguity in the relationship between outward foreign direct investment (OFDI)and trade. This paper estimate the impact of OFDI on the extensive and intensive agricultural import margins of at HS 6-digit commodity level over the sample period from 2012-2020 with the top ten trade partners. We find that standard gravity variables provide good explanatory power for bilateral trade on extensive margin. The empirical results show that the scale of OFDI has a positive impact on the total imports of agricultural products by diversifying product varieties rather than increasing the price of agricultural products, i.e. the impact of OFDI is concentrated exclusively on the extensive margin of China agricultural imports rather than intensive margin. Importantly, based on specific categories of agricultural products, our results suggest that OFDI almost works on food processing and animal products. Additionally, in order to further investigate the motivation of China`s agricultural OFDI, we construct expanded gravity model. The empirical results show that agricultural-related OFDI exhibits characteristics of seeking labor-intensive factors. Overall, our results support that OFDI promotes the diversification of China`s agricultural imports and contributes to the improvement of the welfare of Chinese residents.

Human emotional evaluation of ancestral and modern threats: fear, disgust, and anger.

Animal and human ancestors developed complex physiological and behavioral response systems to cope with two types of threats: immediate physical harm from predators or conspecifics, triggering fear, and the risk of infections from parasites and pathogens leading to the evolution of the behavioral immune system with disgust as the key emotion. Integration of the evolutionary concepts of the fear module and behavioral immune systems has been infrequent, despite the significant survival advantages of disgust in various contexts. Studies comparing attention to ancestral and modern threats accompanied by fear have yielded ambiguous results and what qualifies as salient modern disgusting stimuli remains unclear. We do not know whether disgust or the behavioral immune system, as inherent aspects of human psychology, have adapted to safeguard us from pandemic risks or poisoning by modern toxic substances. To test these effects, we have developed a survey comprised of 60 short vignettes describing threats evoking fear and disgust belonging to one of the three main categories of threats: (1) ancestral (phylogenetic), (2) modern (ontogenetic), and (3) pandemics of airborne disease. Each vignette was evaluated on a 7-point Likert scale based on fear, disgust, and anger. In total, 660 respondents completed the survey. The data were analysed using a factor analysis and general linear model with the respondent as a random factor. The results show that the strongest fear is triggered by modern threats (electricity, car accidents), while the highest disgust is evoked by ancient threats (body waste products, worms, etc.). Interestingly, disgust does not respond to modern threat stimuli such as toxic substances or radioactivity as these evoke mainly fear and anger. Finally, a distinct response pattern was found for pandemic threats, in which both fear (e.g., of disease and death) and disgust (e.g., of used face masks) are employed. Our study offers valuable insights into the emotional responses to ancestral and modern threats and their adaptation to pandemic challenges. Ancestral threats are not always more powerful stimuli than adequate threats of the modern type, but they function specifically. Thus, snakes and heights as fear-inducing ancestral threats form separate factors in a multivariate analysis, whereas all ancestral disgust stimuli group together. The threat of a pandemic forms a specific category and people process it emotionally and cognitively. These insights contribute to our understanding of human psychology and behavior in an ever-changing world.

A Meta-Analysis on Presynaptic Changes in Alzheimer's Disease.

A key aspect of synaptic dysfunction in Alzheimer's disease (AD) is loss of synaptic proteins. Previous publications showed that the presynaptic machinery is more strongly affected than postsynaptic proteins. However, it has also been reported that presynaptic protein loss is highly variable and shows region- and protein-specificity. The objective of this meta-analysis was to provide an update on the available literature and to further characterize patterns of presynaptic protein loss in AD. Systematic literature search was conducted for studies published between 2015-2022 which quantified presynaptic proteins in postmortem tissue from AD patients and healthy controls. Three-level random effects meta-analyses of twenty-two identified studies was performed to characterize overall presynaptic protein loss and changes in specific regions, proteins, protein families, and functional categories. Meta-analysis confirmed overall loss of presynaptic proteins in AD patients. Subgroup analysis revealed region specificity of protein loss, with largest effects in temporal and frontal cortex. Results concerning different groups of proteins were also highly variable. Strongest and most consistently affected was the family of synaptosome associated proteins, especially SNAP25. Among the most severely affected were proteins regulating dense core vesicle exocytosis and the synaptic vesicle cycle. Results confirm previous literature related to presynaptic protein loss in AD patients and provide further in-depth characterization of most affected proteins and presynaptic functions.

Community engagement in genetics and genomics research: a qualitative study of the perspectives of genetics and genomics researchers in Uganda

BackgroundGenerally, there is unanimity about the value of community engagement in health-related research. There is also a growing tendency to view genetics and genomics research (GGR) as a special category of research, the conduct of which including community engagement (CE) as needing additional caution. One of the motivations of this study was to establish how differently if at all, we should think about CE in GGR.AimTo assess the perspectives of genetics and genomics researchers in Uganda on CE in GGR.MethodA cross-sectional qualitative study was conducted at Makerere University and Uganda Virus Research Institute. Twenty-five individuals participated, the majority being male (sixteen). Participants included nineteen genetics and genomics researchers (researchers and research coordinators), two CE officers, three nurses and one nursing counsellor. Data were collected using in-depth interviews and analyzed in a thematic manner using NVivo version 12 Plus.Study findingsThirteen of the respondents had conducted CE in their GGR in either a geographical and disease-specific community. Some respondents said CE principles are the same and there is no need for special consideration for CE in GGR. Others gave ethical issues in GGR that require special consideration for CE in such research and these were categorized into six themes: GGR is new to communities, Difficulty in communicating GGR by the researchers, Genes are shared in communities, Cultural sensitivities against GGR, Community attitude toward GGR, Some GGR studies take long to end, and Negotiation of research benefits. Special considerations for CE when conducting GGR were suggested and categorized into seven themes: creating awareness of GGR in communities, obtaining both community acceptance and individual consent, CE team composition, involve communities in solving GGR challenges, prolong CE in some GGR, develop guidelines for CE in GGR, and legal considerations on GGR.ConclusionGGR was characterized by special issues that require special CE considerations for such research.

Hypothesized mechanisms of death in swimming: a systematic review

BackgroundThe study aims to update the specific classification of mechanisms of death in swimming and to demonstrate these categories are reasonable, by analyzing more characteristics of death cases, evaluating the available evidence and determining their quality.MethodsOriginal articles were queried from PubMed, Web of Science, Embase databases, Cochrane Library, and Scopus. Included studies, which were evaluated as level 4 evidence or higher according to the Oxford Centre for Evidence-Based Medicine, discussed hypothesized mechanisms of death in swimming. Parameters analyzed in this study included decedents’ characteristics, outcome measures, findings, methodological index for non-randomized studies (MINORS), and critical evaluation of each study classified by death mechanism.ResultsA total of twenty-five studies were included for further analysis: fourteen were associated with cardiovascular diseases, two were about cerebrovascular diseases, two contained respiratory diseases, seven were about hazardous conditions and three contained other drownings, which provided evidence for mechanisms of death.ConclusionsIt is found that cardiovascular disease is the main cause or contributing factor of death in swimming. Respiratory diseases and cerebrovascular diseases are difficult to be definitive mechanism categories due to insufficient evidence. Hazardous conditions appear to be one of the possible risk factors because there are more cases of deaths from unsafe environments in swimming, but further statistics and research are still needed to support this view. Our study may have important implications for developing potential prevention strategies for sports and exercise medicine.Trial registrationPROSPERO ID (CRD42021267330). Registered Aug 13th 2021.

Scalable Network Intrusion Detection in Cloud Environments through Parallelized Swarm-Optimized Neural Networks

Cloud computing (CC) offers on demand, flexible resources and services over the internet, to secure cloud assets and resources, privacy and security remains a difficult challenge. To overcome this problem, we proposed a Modified Dove Swarm Optimization Based Enhanced Feed Forward Neural Network (MDSO-EFNN) to examine the network traffics flow that targets a cloud environment.NetworkIntrusion detection systems (NIDSs) are crucial in identifying assaults in the cloud environment, which helps to reduce theproblem. In this study, we gather a NSL-KDD network traffic dataset.Secondly, collected data is preprocessed using Z score normalization to clean the data. Thirdly, Continuous wavelet transform (CWT) is employed to extract the unwanted data. Ant colony optimization (ACO) is used to choose the appropriate data. The selected appropriate data is used to test the process using MDSO-EFNN. The simulation findings of the result use a Python tool. As a result, our proposed method achieves significant outcomes with classification of accuracy (95%), precision rate (97%), sensitivity (98%), and specificity (96%)

Scalable Network Intrusion Detection in Cloud Environments through Parallelized Swarm-Optimized Neural Networks

Cloud computing (CC) offers on-demand, flexible resources and services over the internet, to secure cloud assets and resources, privacy and security remain a difficult challenge. To overcome this problem, we proposed a Modified Dove Swarm Optimization Based Enhanced Feed Forward Neural Network (MDSO-EFNN) to examine the network traffic flow that targets a cloud environment. Network Intrusion detection systems (NIDSs) are crucial in identifying assaults in the cloud environment, which helps to reduce the problem. In this study, we gather an NSL-KDD network traffic dataset. Secondly, collected data is preprocessed using Z-Score normalization to clean the data. Thirdly, Continuous wavelet transform (CWT) is employed to extract the unwanted data. Ant colony optimization (ACO) is used to choose the appropriate data. The selected appropriate data is used to test the process using MDSO-EFNN. The simulation findings of the result use a Python tool. As a result, our proposed method achieves significant outcomes with classification of accuracy (95%), precision rate (97%), sensitivity (98%), and specificity (96%).