Data Collection Sites Research Articles

Visual and behavioral responses to social and non-social threats: A multi-site replication.

Researchers have proposed that humans have evolved psychological mechanisms that facilitate the detection, rapid response, and subsequent avoidance of potential threats. However, some inconsistent results in the literature have called into question the robustness of these responses. Here, we sought to replicate previous findings on the rapid detection of both social (i.e., angry faces) and nonsocial (i.e., snakes) threats within a large and diverse sample of adults, and to examine the robustness of our effects across three data-collection sites using two response metrics-visual latency to detect threatening versus non-threatening stimuli and motor (i.e., button press) responses to indicate that threatening versus non-threatening targets had been detected. We found an advantage for both social (angry facial configurations) and non-social (snakes) threats across all three data collection sites, demonstrating that the phenomenon is both replicable and robust. Further, we found that the threat advantage was only significant for visual latency to first detect threatening stimuli and not for subsequent motor responses-the overall replication effect was driven by first fixations-suggesting that biases for threat might be perceptually based.

Depressive symptoms among rural left-behind children and adolescents in China: a large-scale cross-sectional study.

Left-behind children(LBC) in rural China are at increased risk for mental health problems, including depression. This study aimed to estimate the prevalence of depression and identify key associate factors among Chinese rural LBC. A cross-sectional study was conducted using data from 36,612 LBC aged 6 to 18 years old across 596 data collection sites in Nanchong, Sichuan Province, China. Participants completed questionnaires assessing individual factors, family parenting situation, living events, and health-related data. Depression was measured using the Center for Epidemiological Studies-Depression Scale (CES-D). T-tests, chi-square, and logistic regression were performed to identify factors associated with depression. The overall prevalence of depression among LBC was 6.75%. Logistic regression analysis revealed that family parenting situations, such as being from blended families (OR = 1.45) or being cared for by other family members (OR = 1.64), and dissatisfaction with the parenting situation (OR = 1.57) were significantly associated with higher odds of depression. Living events, including being misunderstood (OR = 1.82) and having disputes (OR = 1.48), and health-related factors, such as chronic diseases and regular medication use (OR = 2.38), also increased the risk of depression. This study highlights the high prevalence of depression among Chinese rural LBC and identifies key associate factors, including family parenting situation, negative living events and health-related factors. Targeted interventions and policies addressing these factors are needed to promote the mental health of this vulnerable population.

Increasing Motivation Increases Intelligibility Benefits of Perceptual Training in Dysarthria.

Perceptual training offers a promising, listener-targeted option for improving intelligibility of dysarthric speech. Cognitive resources are required for learning, and theoretical models of listening effort and engagement account for a role of listener motivation in allocation of such resources. Here, we manipulate training instructions to enhance motivation to test the hypothesis that increased motivation increases the intelligibility benefits of perceptual training. Across two data collection sites, which differed with respect to many elements of study design including age of speaker with dysarthria, dysarthria type and severity, type of testing and training stimuli, and participant compensation, 84 neurotypical adults were randomly assigned to one of two training instruction conditions: enhanced instructions or standard instructions. Intelligibility, quantified as percent words correct, was measured before and after training. Listeners who received the enhanced instructions achieved greater intelligibility improvements from training relative to listeners who received the standard instructions. This result was robust across data collection sites and the many differences in methodology. This study provides evidence for the role of motivation in improved understanding of dysarthric speech-increasing motivation increases allocation of cognitive resources to the learning process, resulting in improved mapping of the degraded speech signal. This provides empirical support for theoretical models of listening effort and engagement. Clinically, the results show that a simple addition to the training instructions can elevate learning outcomes.

ЭМУЛЯЦИЯ ПОКАЗАНИЙ ДАТЧИКОВ КАЧЕСТВА ВОЗДУХА В ГОРОДСКОЙ СРЕДЕ УМНОГО ГОРОДА

Urban air pollution poses a serious threat to human health. To monitor it, both individual sensors and systems are used to assess the concentration of dust particles PM1, PM2.5, PM10 and organic compounds. However, the reliability of the sensor system cannot be 100 percent. From time to time, certain sensors in a distributed system fail. For this reason, it is very useful to emulate their readings based on the readings of the remaining sensors. The work describes a data set and proposes a machine learning model, which, based on the readings of functional sensors and weather conditions at the data collection sites, simulates the readings of a failed sensor. The accuracy of such emulation for certain types of pollution has been assessed (the coefficient of determination ranges from 0.43 to 0.61).

Automated Pipeline for Multi-LiDAR Extrinsic Calibration: Experimental Evaluation and Performance Analysis

Abstract. In recent years, 3D LiDAR (Light Detection and Ranging) has become a crucial sensor in various applications such as autonomous vehicles, robotics, object detection, precision forestry, and agriculture. However, specific LiDAR sensors, such as Velodyne VLP16, exhibit some drawbacks, such as a limited field of view and sparse data density, making them inadequate for certain specific applications. Hence, this research proposes a method for calibrating two VLP16 LiDAR sensors to improve coverage and reduce blind spots. The pipeline for performing the calibration begins with mounting LiDARs correctly in a rod at a specific orientation and distance, followed by the selection of multiple sites for data collection, then performing a registration algorithm for estimating calibration parameters, and then an accuracy assessment of the calibrated point clouds. The registration algorithm used here is a modified version of ICP (Iterative Closest Point), which overcomes the need for initialization and eliminates manual intervention in installing targets or retro-reflectors. Finally, we evaluated the accuracy of the fused point cloud collected in an open environment using two calibrated Velodyne VLP16 sensors. For accuracy assessment, we used the PCA eigenvalue and RMSE value to observe how tightly point clouds are fused. As a calibration result, we got the orientation and translation parameters, which are used to achieve the common coordinate system, and accomplished calibration accuracy up to single-digit precision from all the experimental sites. Now the system of two calibrated VLP16 sensors will provide higher coverage and increased data density and might be useful for forest applications.

Repurposing MALDI-TOF MS for effective antibiotic resistance screening in Staphylococcus epidermidis using machine learning

The emergence of Staphylococcus epidermidis as a significant nosocomial pathogen necessitates advancements in more efficient antimicrobial resistance profiling. However, existing culture-based and PCR-based antimicrobial susceptibility testing methods are far too slow or costly. This study combines machine learning with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to develop predictive models for various antibiotics using a comprehensive dataset containing thousands of S. epidermidis isolates. Optimized machine learning models utilized feature selection and achieved high AUROC scores ranging from 0.80 to 0.95 while maintaining AUPRC scores up to 0.97. Shapley Additive exPlanations were employed to analyze relevant features and assess the significance of corresponding protein biomarkers while also verifying that predictive power was derived from the detection of proteins rather than noise. Antimicrobial resistance models were validated externally to evaluate model performance outside the original data collection site. The approaches and findings in this study demonstrate a significant advancement in rapid, cost-effective antimicrobial resistance profiling, offering a promising solution for improving treatments for nosocomial infections and being potentially applicable to other microbial pathogens in the future.

Divergence in spatial patterns of leaf stoichiometry between native and non-native plants across coastal wetlands

The spatial pattern of leaf stoichiometry is critical in predicting plant palatability and ecosystem productivity and nutrient cycling rates and thus is a major focus of community ecological research. Coastal wetlands as vital blue carbon ecosystems, with high possibility to be vulnerable to plant invasion, studies focused on stoichiometry and its pattern are important to unveil the elements cycling process. However, previous studies have mainly focused on stoichiometry in terrestrial ecosystems, there are few studies conducted on coastal wetland ecosystems, especially the studies that compare leaf stoichiometry between native and non-native plants in coastal wetlands. In this study, we compared the latitudinal patterns of leaf nutrient contents and their stoichiometric ratios between native and non-native plant species across coastal wetland ecosystems and investigated whether leaf stoichiometric patterns were driven by climatic factors. We used a compiled global data set of 954 records to conduct a systematic meta-analysis. The results showed that there were significant differences in latitudinal patterns of leaf carbon (C) and nitrogen (N) contents and C:N ratio between native and non-native species, as well as significant differences in leaf C, N, and phosphorus (P) contents. For native species, we found significant latitudinal patterns in leaf C, N, and P contents and C:N and C:P ratios, whereas for non-native species, we found significant latitudinal patterns in leaf N content and C:P and N:P ratios. Mean annual temperature of the data collection site was a significant predictor of leaf stoichiometry of native plants but only of leaf N content and C:P ratio of non-native plants. Thus, we demonstrated spatial heterogeneity in leaf stoichiometries between native and non-native plants in coastal wetlands, indicating that such differences should be emphasized in future biogeochemical models and plant-herbivore interaction studies owing to the important role of wetland plants in global C, N, and P cycles. Our findings increase understanding of plant-related nutrient and elements cycling in coastal wetlands, as well as improve predictions of plant growth rates and vegetation productivity across large scales under plant invasion scenarios.

Food additives associated with gut dysbiosis in processed and ultra-processed products commercialized in the Uruguayan market

Recent empirical evidence suggests that gut dysbiosis is one of the negative health outcomes potentially associated with chronic consumption of some food additives. In this context, the present study aimed at analyzing the disclosure of food additives associated with gut dysbiosis in the labels of products commercialized in the Uruguayan market. A cross-sectional survey of packaged products commercialized in nine supermarkets was conducted between August and September 2021. All packaged processed and ultra-processed products available in each data collection site were surveyed using a cellphone app. The information available on the labels was manually extracted and the disclosure of food additives was analyzed using a computer assisted approach. Results showed that 38.1% of the products disclosed at least one food additive associated with gut dysbiosis. Disclosure was most frequent in ice-cream and popsicles, beverages, meat products and analogues, desserts, and fats, oils and fat and oil emulsions. Potassium sorbate was the individual additive associated with gut dysbiosis most frequently disclosed on the labels, followed by mono- and di-glycerides of fatty acid, sucralose, carboxymethylcellulose, acesulphame potassium, carrageenan, and sodium benzoate. These food additives frequently co-occurred and network analysis enabled the identification of patterns of co-occurrence. Taken together, results from the present work suggest the need to conduct additional research to assess the intake of food additives associated with gut dysbiosis at the population level, as well as to evaluate potential synergistic effects of food additives.

Reduce, reuse, recycle: Introducing MetaPipeX, a framework for analyses of multi-lab data.

Multi-lab projects are large scale collaborations between participating data collection sites that gather empirical evidence and (usually) analyze that evidence using meta-analyses. They are a valuable form of scientific collaboration, produce outstanding data sets and are a great resource for third-party researchers. Their data may be reanalyzed and used in research synthesis. Their repositories and code could provide guidance to future projects of this kind. But, while multi-labs are similar in their structure and aggregate their data using meta-analyses, they deploy a variety of different solutions regarding the storage structure in the repositories, the way the (analysis) code is structured and the file-formats they provide. Continuing this trend implies that anyone who wants to work with data from multiple of these projects, or combine their datasets, is faced with an ever-increasing complexity. Some of that complexity could be avoided. Here, we introduce MetaPipeX, a standardized framework to harmonize, document and analyze multi-lab data. It features a pipeline conceptualization of the analysis and documentation process, an R-package that implements both and a Shiny App (https://www.apps.meta-rep.lmu.de/metapipex/) that allows users to explore and visualize these data sets. We introduce the framework by describing its components and applying it to a practical example. Engaging with this form of collaboration and integrating it further into research practice will certainly be beneficial to quantitative sciences and we hope the framework provides a structure and tools to reduce effort for anyone who creates, re-uses, harmonizes or learns about multi-lab replication projects.

The Resilience of the Built Environment to Flooding: The Case of Alappuzha District in the South Indian State of Kerala

In recent years, floods and climate-induced cataclysms have caused significant annual damage to livelihoods worldwide, with limited research on their vulnerability, impact, resilience, and long-term adaptation strategies in developing countries. In the South Indian State of Kerala, the major flood in 2018 caused immense economic losses in the low-lying and densely populated Alappuzha District. While the region has a heightened risk of periodic flooding, the considerable destruction of buildings and infrastructure highlights the need for effective solutions for flood resilience in the existing housing stock and new construction. In this context, this study examines flood resilience in the built environment of Alappuzha, focusing on flood vulnerability, building practices, and potential approaches suitable for the region that the current literature does not address. This study employs a qualitative research approach to understand current trends in adaptation strategies and the influencing socioeconomic and cultural factors. The study employs various data collection methods, including interviews, site observations, and content analyses of existing government reports, journal articles, and popular media sources. The findings indicate that although there are three types of established flood resilience techniques (static elevated, floating, and amphibious structures), their suitability for the low-lying areas of Alappuzha depends on the geographic, climatic, socioeconomic, and cultural contexts. Stilted houses have become the most common construction method, in response to climatic and socioeconomic conditions. In addition, the findings highlight the bounce-forth resilience quality of amphibious building techniques and suggest further exploration by integrating them with local technologies and materials. The study concludes that a comprehensive approach is needed that integrates traditional and modern knowledge and practices in disaster risk reduction and management to enhance the resilience of the built environment to flooding.

Elevated sympathoadrenal response following active ascent to 3,600m is not associated with acute mountain sickness

Previous reports have suggested an increase in plasma epinephrine (EPI) and either an increase, no change or decrease in norepinephrine (NE) following acute (< 4 h) exposure to high altitude (HA). In addition, previous research has demonstrated an exercise-induced increase in EPI and NE during exercise initiated following arrival at HA. Last, some but not others have reported an association between increased sympathoadrenal activity and acute mountain sickness (AMS). We hypothesized that elevated sympathoadrenal activity induced from active ascent on foot to 3,600m may contribute to the development of AMS. Thirty-seven Soldiers (mean ± SD; 6 women; age=25.5±4.9 years) were tested at their baseline residence (BLR; Fort Bliss, TX, 1,190m), transported to Taos, NM (2,845m), then hiked (n=18) or were driven (n=19) to the HA data collection site where they resided for four days (68hrs). AMS Cerebral Factor Score (AMS-C) was determined using the Environmental Symptoms Questionnaire (ESQ-III) recorded twice at HA on day 1 (HA1), five times on days 2 (HA2) and 3 (HA3) and once on day 4 (HA4). If AMS-C was ≥0.7 on any measurement occasion, individuals were categorized as AMS-susceptible (AMS+, n=11) others were AMS-resistant (AMS─, n=26). Plasma EPI (pg/ml) and NE (pg/ml) were measured from venous blood draws at 06:00 at BLR, a non-fasted blood draw at 18:00 following ascent on HA1, and subsequent fasted blood samples at 06:00 on each morning at HA (HA2, HA3, HA4). AMS-susceptibility was not associated with the EPI or NE response in any condition so both cohorts were combined. The EPI response to active vs. passive ascent was similar with an increase (p<0.05) from BLR (28.0±26.8) to HA1 (47.5±40.3) followed by a subsequent decrease (p<0.05) from HA1 to HA2 (28.0±18.6) through HA4 (25.4±16.9). NE, however, increased (p<0.05) only in the active ascent group from BLR (413±216) to HA1 (729±281) and remained stable from HA1 through HA4 (644±192). The passive ascent group demonstrated no change in NE from BLR (327±126) to HA1 (413±181) through HA4 (466±144). NE levels were similar (p>0.05) in the active vs passive ascent group at BLR but higher (p<0.05) in the active ascenders on HA1 through HA4. In conclusion, contrary to our hypothesis, the sympathoadrenal response to HA was not impacted by AMS susceptibility but active ascent induced a greater NE response following ascent and throughout the duration of the HA stay. USAMRDC. Authors’ views not offcial U.S. Army or DoD policy. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Doctors' perspectives on the quality of medical imaging in public hospitals in eThekwini District.

There is a paucity of literature on perspectives of referring doctors about the quality of medical imaging services and this study closes this gap in literature. This quality assurance (QA) study aimed to explore the perspectives of doctors on the quality of medical imaging services in selected regional hospitals within eThekwini District of KwaZulu-Natal. The study was conducted in four public regional hospitals. An exploratory descriptive qualitative research design involving 30 min-45 min of in-depth individual interviews was used. A purposive sampling technique was used to select research participants and hospitals to ensure adequate responses to the research questions. The sample involved nine participants and was guided by data saturation. Responses were recorded through notes and voice recordings and thematic analysis was used to analyse data. Three main themes (timeliness of examinations, communication and radiology reports and image quality) and eight subthemes (waiting times, shortage of radiographers, workload, communication between doctors and radiographers, requisition forms, unavailability of radiology reports, clarity of images and image acquisition protocols) emerged from the data. Challenges experienced were exacerbated by high workload and shortage of radiologists and radiographers. Doctors in the data collection sites were mainly dissatisfied with services provided by the medical imaging departments. Regular engagements between medical imaging departments and doctors are important in enhancing the provision of quality care to patients. In-service training of radiographers and employment of additional radiographers and finding solutions to mitigate shortage of radiologists are recommended. This quality assurance (QA) study focused on experiences of doctors while many other medical imaging QA studies in South Africa are equipment based. In-service training of radiographers is recommended to improve image quality and communication skills.

Every mistake is a treasure: Lessons learned from the TRIANGLE trial for anorexia nervosa.

Despite several decades of treatment research for anorexia nervosa (AN), many of the same questions remain: how to boost enrollment, engage participants, prevent attrition, and meet the needs of a diverse patient population within the rigorous framework of a randomized controlled trial (RCT). In this research forum, we highlight some of the challenges and opportunities observed over the course of TRIANGLE, the largest RCT for severe AN treatment in the UK to date. We discuss strategies for addressing common challenges and avoiding common pitfalls and propose solutions to future researchers seeking to conduct treatment research in AN. Our experience underscores the value of involving people with lived experience at every stage of intervention research. We offer additional recommendations for treatment researchers, including, (1) early qualitative research to identify patient barriers and obstacles, (2) clear, systematic collaboration with clinical sites for patient recruitment and passive data collection, (3) careful consideration of assessment metrics, including repeated measurement of quality of life, (4) adopting a flexible, patient-centered approach to clinical trial research, and (5) considering the unique needs and obstacles that might impact carer participation in research and their ability to provide support to their loved ones. We hope that these lessons learned will prove fruitful for the next generation of researchers embarking on treatment research for AN. Using the TRIANGLE trial as an illustrative case study, we highlight the value of lived experience and codesign for developing and testing interventions for AN. We offer several lessons learned over the course of the trial, pertaining to trial enrollment, retention and engagement, measurement of outcomes, and research adaptations for real-world settings, and hope that these recommendations facilitate future treatment research for AN.

Motivation to participate and attrition factors in a COVID-19 biobank: A qualitative study

BackgroundThe Biobanque québécoise de la COVID-19 (Quebec Biobank for COVID-19, or BQC19) is a provincial initiative that aims to manage the longitudinal collection, storage, and sharing of biological samples and clinical data related to COVID-19. During the study, BQC19 investigators reported a high loss-to-follow-up rate. The current study aimed to explore motivational and attrition factors from the perspective of BQC19 participants and health care and research professionals. MethodsThis was an inductive exploratory qualitative study. Using a theoretical sampling approach, a sample of BQC19 participants and professionals were invited to participate via semi-structured interviews. Topics included motivations to participate; participants’ fears, doubts, and barriers to participation; and professionals’ experiences with biobanking during the COVID-19 pandemic. ResultsInterviews were conducted with BQC19 participants (n = 23) and professionals (n = 17) from 8 clinical data collection sites. Motivations included the contribution to science and society in crisis, self-worth, and interactions with medical professionals. Reasons for attrition included logistical barriers, negative attitudes about public health measures or genomic studies, fear of clinical settings, and a desire to move on from COVID-19. Motivations and barriers seemed to evolve over time and with COVID-19 trends and surges. Certain situations were associated with attrition, such as when patients experienced indirect verbal consent during hospitalization. Barriers related to human and material resources and containment/prevention measures limited the ability of research teams to recruit and retain participants, especially in the ever-evolving context of crisis. ConclusionThe pandemic setting impacted participation and attrition, either by influencing participants’ motivations and barriers or by affecting research teams’ ability to recruit and retain participants. Longitudinal and/or biobanking studies in a public health crisis setting should consider these factors to limit attrition.

Exploring the willingness toward HIV immediate test and treat among MSM in Nairobi and its environs: a cross-sectional study.

In the test and treat initiative, high-risk populations are screened for human immunodeficiency virus (HIV) infection and start early treatment if diagnosed positive. This study explores factors associated with willingness to initiate testing and immediate treatment among men who have sex with men (MSM) in Nairobi and its environs. The study was informed by a conceptual framework combining the AIDS Risk Reduction Model (ARRM) and the Modified Social Ecological Model. This cross-sectional exploratory study targeted MSM (aged 18-60 years) reporting active engagement in anal or oral sex with men in Nairobi and its surrounding areas. Purposive sampling was used to identify data collection sites, and then snowballing was employed to reach the respondents. Data analysis was performed using SPSS version 23, and binary logistics regression was used for inferential analysis. Between July 2018 and June 2019, 391 MSM were recruited to fill out a self-administered questionnaire, out of which 345 complete questionnaires were analyzed. Never been tested for HIV, private/NGO as the facility of the last HIV test, and had unprotected anal sex were listed as the reasons for taking the most recent test, and the results of the most recent HIV test and seeking a post self-test confirmation were associated with a higher likelihood of accepting the immediate HIV test and treat initiative. Additionally, a preference for a health provider as the first source of support, belief in the efficacy of ARVs, and disclosure about being on ART were the other reasons. Additionally, being aged 25+ years, having more than 60 USD monthly income, and having inconsistent condom use during sex were associated with a higher likelihood of accepting the immediate HIV test and treat initiative. Barriers to the immediate test and treat strategy included stigma from healthcare providers and concerns about disruptions in lifestyle through antiretroviral therapy (ART) use. Interventions aimed at increasing the HIV test and treat initiative in Kenya may need to take into account the demographic and social characteristics of MSM, including age, lack of habitual HIV testing, and lifestyle changes before and upon enrollment in ART. Projects should also consider working closely with healthcare facilities to strengthen treatment preparation, especially for asymptomatic MSM and those who may not be immediately willing to choose the test and treat strategy.

Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study

IntroductionIn population-based research, disease ascertainment algorithms can be as accurate as, and less costly than, performing supplementary clinical examinations on selected participants to confirm a diagnosis of a neurocognitive disorder...

Embracing abuelita epistemologies, “Nací para bailar”: A pathway for creating culturally sustaining lessons for LatinX students

The study examines how LatinX children can strengthen their identities through authentic school-community collaborative partnerships by building on cultural and familial capital. A critical ethnography (Palmer & Caldas, 2015) was employed to explore the effects of utilizing a community artist to impart ancestral knowledge- abuelita epistemologies to students at a K-5 elementary school. Data were collected via interviews, students' critical reflections, and drawings revealed how culturally relevant and sustaining pedagogies contributed to students' understanding of the many levels of culture in relation to their own identity. Through the use of cultural sensitivity, cafecitos and convivos were incorporated as data collection sites. The findings further emphasize the importance of drawing upon subaltern knowledge, such as local community members, to challenge the traditional K-12 curriculum for LatinX students.

Regional Cortical Thickness Correlates of Intellectual Abilities Differ in Children With Traumatic Brain Injury Versus Those With Orthopedic Injury in the Chronic Post-Injury Phase.

A decline in intellectual functioning (intelligence quotient [IQ]) is often observed following more severe forms of traumatic brain injury (TBI) and is a useful index for long-term outcome. Identifying brain correlates of IQ can serve to inform developmental trajectories of behavior in this population. Using magnetic resonance imaging (MRI), we examined the relationship between intellectual abilities and patterns of cortical thickness in children with a history of TBI or with orthopedic injury (OI) in the chronic phase of injury recovery. Participants were 47 children with OI and 58 children with TBI, with TBI severity ranging from complicated-mild to severe. Ages ranged from 8 to 14 years old, with an average age of 10.47 years, and an injury-to-test range of ∼1-5 years. The groups did not differ in age or sex. The intellectual ability estimate (full-scale [FS]IQ-2) was derived from a two-form (Vocabulary and Matrix Reasoning subtests) Wechsler Abbreviated Scale of Intelligence (WASI). MRI data were processed using the FreeSurfer toolkit and harmonized across data collection sites using neuroComBat procedures, while holding demographic features (i.e., sex, socioeconomic status [SES]), TBI status, and FSIQ-2 constant. Separate general linear models per group (TBI and OI) and a single interaction model with all participants were conducted with all significant results withstanding correction for multiple comparisons via permutation testing. Intellectual ability was higher (p < 0.001) in the OI group (FSIQ-2 = 110.81) than in the TBI group (FSIQ-2 = 99.81). In children with OI, bi-hemispheric regions, including the right pre-central gyrus and precuneus and bilateral inferior temporal and left occipital areas were related to IQ, such that higher IQ was associated with thicker cortex in these regions. In contrast, only cortical thickness in the right pre-central gyrus and bilateral cuneus positively related to IQ in children with TBI. Significant interaction effects were found in the bilateral temporal, parietal, and occipital lobes and left frontal regions, indicating that the relationship between IQ and cortical thickness differed between groups in these regions. Changes in cortical associations with IQ after TBI may reflect direct injury effects and/or adaptation in cortical structure and intellectual functioning, particularly in the bilateral posterior parietal and inferior temporal regions. This suggests that the substrates of intellectual ability are particularly susceptible to acquired injury in the integrative association cortex. Longitudinal work is needed to account for normal developmental changes and to investigate how cortical thickness and intellectual functioning and their association change over time following TBI. Improved understanding of how TBI-related cortical thickness alterations relate to cognitive outcome could lead to improved predictions of outcome following brain injury.

Status of Smoking Research in Jordan: Scoping Review and Evidence Synthesis

Background Jordan has one of the highest smoking rates in the world. Despite this, there is a limited understanding of the scope and nature of smoking research in Jordan. In this scoping review, we assessed the status of research on smoking in Jordan, identifying research gaps and opportunities for future studies, and informing the development of evidence-based interventions to reduce smoking prevalence and related health harms in the country. Methods We searched Scopus database to identify papers covering various aspects of smoking research in Jordan, including nicotine, smoke, cigarette, tobacco, and waterpipe. We assessed several outcomes, including sample characteristics size, data characteristics included data type (quantitative, qualitative), data collection methodology (survey, clinical measurements) and data collection sites. Results From 410 studies screened, we included 125 studies. We classified included studies according to the main topics covered in the articles, where 32 studies assessed the clinical impact of smoking, 24 studies assessed aspects of smoking cessation, 19 articles included the perception and knowledge of smoking, 19 studied the prevalence of different types of smoking in different age population, 16 articles studied the factors affecting smoking, 9 studied the relation with oral health, diseases, and cancer, 6 of them handled different aspects of smoking and smoking research tools and training of healthcare workers. Conclusions This scoping review provided valuable insights into the various aspects of smoking research among Jordanians and highlighted gaps where research is needed. The results can be used to inform policies and programs on areas of needed evidence.

음식축제 관광의 활성화를 위한 K-푸드의 홍보방향 : 소셜 빅데이터를 활용한 떡볶이 연관어 분석을 중심으로

In order to present a vision for food tourism necessary for the sustainable growth of K-food and take a global leap, and to revitalize food tourism, we must prepare for the future of food tourism by actively promoting K-food. Therefore, promotion through social media is active in food tourism. Customers share information about the company through social media and communicate with other customers. Because of these characteristics, a significant number of restaurant companies use social media as a marketing channel. The big data analysis methods, which finds information by analyzing vast amounts of Internet-based data, is useful for understanding the meaning and relationship of information. The analysis method was analyzed using the data collection site SomeTrend for ‘text mining’ and ‘semantic network analysis’, and the main keywords were collected as related words of ‘Tteokbokki’, ‘Food Festival’, and ‘K-Food’. Social big data can be used as a way to interpret trends. Based on these research methods, it is a theoretical exploration of ways to connect food festivals and tourism strategies for Tteokbokki, a representative food based on traditional knowledge of K-Food, to meet the needs of food tourism and globalize K-Food. And it is a study to present effective implications from a practical point of view.