Steam-Induced Coarsening of Single-Unit-Cell MFI Zeolite Nanosheets and Its Effect on External Surface Brønsted Acid Catalysis.

Commonly used methods to assess crystallinity, micro-/mesoporosity, Brønsted acid site density and distribution (in micro- vs. mesopores), and catalytic activity suggest nearly invariant structure and function for aluminosilicate zeolite MFI two-dimensional nanosheets before and after superheated steam treatment. Yet, pronounced reaction rate decrease for benzyl alcohol alkylation with mesitylene, a reaction that cannot take place in the zeolite micropores, is observed. Transmission electron microscopy images reveal pronounced changes in nanosheet thickness, aspect ratio and roughness indicating that nanosheet coarsening and the associated changes in the external (mesoporous) surface structure are responsible for the changes in the external surface catalytic activity. Superheated steam treatment of hierarchical zeolites can be used to alter nanosheet morphology and regulate external surface catalytic activity while preserving micro- and mesoporosity, and micropore reaction rates

Protective Community Norms and Mental Health Risks for Severe Physical Abuse: Lessons From a Nationally Representative Study of Ghana

Although it has become axiomatic to quote an African proverb in discussions of child well-being, attempts to draw concrete and positive lessons from how African communities respond to and mitigate child maltreatment are comparatively few. This study tested the hypothesis that the collective value of Abiriwatia in Ghana, which supports legitimate norms of community obligations to care for children, could be protective against physical abuse. It also examined the claim that knowledge of the familial situation of community members, generated through Abiriwatia, may help them to act to mitigate the risk of caregiver’s borderline personality disorder (BPD) features. We obtained a nationally representative sample of 1,100 female caregivers from 22 Ghanaian settlements and tested the hypotheses using multilevel models. Controlling for community-level physical abuse, living in a community with high levels of Abiriwatia childcare and community authority values is associated with lower levels of very severe physical abuse, and Abiriwatia childcare may mitigate risk from the caregiver’s BPD features. Within Ghana, encouraging positive and protective aspects of traditional Ghanaian values and working to reinstate respect for these values may have positive outcomes for children. Interventions to reduce child maltreatment should be developed with reference to Abiriwatia childcare values

Morphology and Physico-Chemical Properties of Upland Area of Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj

The study evaluate the morphology, physico - chemical characteristics as well as the nutrient status of uplandsoils, located in Sam Higginbottom University of Agriculture Technology & Sciences (SHUATS) area of prayagraj.Profile depth of 1m, with 20cm interval for 5 different samples are examined for their morphology, physical and chemicalproperties. A total numbers of 5 samples were collected from different depth at 20cm interval. All field and laboratoryanalyses were done following standard procedures. The results indicate that the nutrient status of the upland soils in thearea were moderate. The nutrient status recorded a neutral pH of 7.03 in the study area, with 0.39dSm-1electricalconductivity, the available nitrogen recorded was low with 139.54 kg ha-1, organic carbon recorded a value of 0.9%, theorganic matter also recorded a value of 1.6%.The soil has no carbonate threat with a recorded value of 0.50%.Thephysical properties of the soil give a bulk density of 1.30Mgm-3,particle density of 3.0 Mgm-3, with total porosity of56.80%,and a solid phase of 43.6%.The soil particle size show a textural class of sandy clay loam of 65.2% sand, 26.6%clay, 8.2% silt, with angular to sub angular blocky structure, the morphology of the study area show a yellowish brown todark yellowish brown color, with clear and smooth horizon boundaries ,and a little abrupt distinction. The soil shows afriable consistency at the surface and a moderately hard consistency at the subsurface horizons

Parental education and perception of outdoor playing time for preschoolers

Abstract Aim: The objective of this study was to analyze whether or not socioeconomic positions influence outdoor playtime during the week (WK) and on the weekends (WEND). Methods: The sample consisted of 485 (girls; n=223) healthy preschoolers, aged from 3 to 6 years, enrolled in kindergartens from the metropolitan area of Porto, Portugal. Physical Activity (PA) was assessed for 7 consecutive days with an accelerometer. The time playing outdoors during the WK or the WEND was reported by parents. Anthropometric data (weight and height) was collected following standardized protocols. Socioeconomic position was assessed by Parental Education (PE), according to the Portuguese education system. Results: We found differences in time spent playing outdoors either for the WK or WEND, but not for Total PA (TPA), in both sexes. However, regression analysis showed that after age adjustment, BMI and TPA for both sexes, we only found significant associations between low PE (LPE) and high PE (HPE) groups on WK or WEND. However, we found no statistically significant association for boys on the WK (p=0.06). Conclusion: Our findings suggest that socioeconomic position can influence the children’s time spent in outdoor activities, especially on the weekends. This may have implications for future interventions with this age group

Musculoskeletal disorders and associated disabilities among bank workers

Background: Musculoskeletal disorders (MSDs) are among the most common health problems encountered in the workplace around the globe leading to disabling conditions there by reducing human performance and subsequently quality of life. The aim of this study was to determine the prevalence of MSDs and associated disabilities and also to identify the risk factors responsible for their occurrence among bank workers in Kancheepuram district, Tamil Nadu, India.  Methods: Annual prevalence of MSD was determined through a cross sectional survey from a sample of 300 bank workers. A pre-validated questionnaire adopted from modified Nordic musculoskeletal questionnaire and 12 Item General Health Questionnaire was used to obtain information about participant’s demographic characteristics, job characteristics, psychosocial stress, musculoskeletal impairments and the resulting disability in different body regions. Data was obtained from the participant’s at their respective working places in Kancheepuram for a period of 1 month.Results: Annual prevalence of 33.8% was observed for the MSD, with a disability rate of 8.5%.The body region mostly affected was the lower back (51.8%) followed by the neck (48.2%), shoulder (40.2%) and upper back (39.6%). In terms of disability, the same pattern was noted with rates for the lower back, neck, shoulder and upper back being 18.9%, 13.4%, 11.6% and 9.1% respectively. The risk factors identified as being responsible for MSD were job tenure, psychosocial stress, and female sex while those responsible for the disabilities were job tenure and psychosocial stress.Conclusion: Low prevalence of MSDs and associated disabilities was observed.

A calibration protocol for population-specific accelerometer cut-points in children

PurposeTo test a field-based protocol using intermittent activities representative of children\u27s physical activity behaviours, to generate behaviourally valid, population-specific accelerometer cut-points for sedentary behaviour, moderate, and vigorous physical activity.MethodsTwenty-eight children (46% boys) aged 10&ndash;11 years wore a hip-mounted uniaxial GT1M ActiGraph and engaged in 6 activities representative of children\u27s play. A validated direct observation protocol was used as the criterion measure of physical activity. Receiver Operating Characteristics (ROC) curve analyses were conducted with four semi-structured activities to determine the accelerometer cut-points. To examine classification differences, cut-points were cross-validated with free-play and DVD viewing activities.ResultsCut-points of &le;372, &gt;2160 and &gt;4806 counts&bull;min&minus;1 representing sedentary, moderate and vigorous intensity thresholds, respectively, provided the optimal balance between the related needs for sensitivity (accurately detecting activity) and specificity (limiting misclassification of the activity). Cross-validation data demonstrated that these values yielded the best overall kappa scores (0.97; 0.71; 0.62), and a high classification agreement (98.6%; 89.0%; 87.2%), respectively. Specificity values of 96&ndash;97% showed that the developed cut-points accurately detected physical activity, and sensitivity values (89&ndash;99%) indicated that minutes of activity were seldom incorrectly classified as inactivity.ConclusionThe development of an inexpensive and replicable field-based protocol to generate behaviourally valid and population-specific accelerometer cut-points may improve the classification of physical activity levels in children, which could enhance subsequent intervention and observational studies.<br /

Development of a Machine Learning-Based Cyber Threat Intelligence Dashboard System for Strategic Operations Centre

Cyber Threat Intelligence (CTI) has become an essential element in the toolkit of Cybersecurity experts. In recent years, the significance of CTI has grown exponentially due to the increasing sophistication and frequency of cyber attacks. The incorporation of machine learning methodologies into CTI systems represents a substantial advancement in the domain. Conventional rule-based systems frequently fall short in identifying emerging threats and adjusting to the swiftly evolving strategies employed by cybercriminals. This paper presents a systematic appraisal of CTI dashboard systems that incorporate machine learning techniques to enhance strategic cybersecurity operations, which provide a user-friendly platform for real-time threat detection, analysis, and visualisation. At the core of this study is the utilisation of Gradient Boosting Trees (GBT) as the primary machine learning algorithm for threat detection and classification. The research only focused on the detection, analysis, and presentation of threat intelligence, leaving the specific response strategies at the discretion of the organisation implementing the system. The CTI dashboard system, which is the result of this work, showed strong performance, with a precision of 99.6%, a recall of 99.5%, and an F1-score of 99.97%. The system also showed an average response time of 3 minutes and 12 seconds, demonstrating its effectiveness in delivering timely and accurate threat intelligence

Medical Image Classification Using Transfer Learning and Chaos Game Optimization on the Internet of Medical Things

The Internet of Medical Things (IoMT) has dramatically benefited medical professionals that patients and physicians can access from all regions. Although the automatic detection and prediction of diseases such as melanoma and leukemia is still being researched and studied in IoMT, existing approaches are not able to achieve a high degree of efficiency. Thus, with a new approach that provides better results, patients would access the adequate treatments earlier and the death rate would be reduced. Therefore, this paper introduces an IoMT proposal for medical images classification that may be used anywhere, i.e. it is an ubiquitous approach. It was design in two stages: first, we employ a Transfer Learning (TL)-based method for feature extraction, which is carried out using MobileNetV3; second, we use the Chaos Game Optimization (CGO) for feature selection, with the aim of excluding unnecessary features and improving the performance, which is key in IoMT. Our methodology was evaluated using ISIC-2016, PH2, and Blood-Cell datasets. The experimental results indicated that the proposed approach obtained an accuracy of 88.39% on ISIC-2016, 97.52% on PH2, and 88.79% on Blood-cell. Moreover, our approach had successful performances for the metrics employed compared to other existing methods.Comment: 22 pages, 12 figures, journa

Perceived needs of health tutors in rural and urban health training institutions in Ghana:Implications for health sector staff internal migration control

BackgroundThe population of Ghana is increasingly becoming urbanized with about 70% of the estimated 27 million people living in urban and peri-urban areas. Nonetheless, eight out of the ten regions in Ghana remain predominantly rural where only 32% of the national health sector workforce works. Moreover, the rural-urban disparities in the density of health tutors (staff responsible for pre-service training of health professionals) are enormous. This paper explores perceived needs of health tutors in rural and urban health training institutions in Ghana.MethodsThis is a descriptive qualitative study conducted in the Greater Accra and Northern regions of Ghana. The Study used the deductive thematic and sub-thematic analysis approaches. Five health training institutions were randomly sampled, and 72 tutors engaged in separate focus group discussions with an average size of 14 participants per group in each training institution.ResultsPerceived rural-urban disparities among health tutors were found in the payment of extra duty allowances; school infrastructure including libraries and internet connectivity; staff accommodation; and opportunities for scholarships and higher education. Health tutors in rural areas generally expressed more frustration with these work conditions than those in urban areas.ConclusionsThere is the need to initiate and sustain work incentives that promote motivation of rural health tutors to control ongoing rural-urban migration of qualified staff. It is recommended the following incentives be prioritized to promote retention of qualified health tutors in rural health training schools: payment of research, book and rural allowances; early promotion of rural staff; prioritizing rural tutors for scholarships, and introduction of national best health tutor awards