Screen View Research Articles

Пример алгоритма для расчёта специального лекарственного севооборота

The article presents a description of the algorithm in Word Excel format for calculating the structure of the small-scale field experiments areas as part of special medicinal crop rotation on the example of the VILAR experimental field (Moscow region) according to data for the period 2011-2021. The programming of the algorithm is implemented on the basis of conditional and logical operators. In the comments to the algorithm is given: a description of the hierarchical structure, criteria, types and relationships of data, the scheme of the algorithm, data features. The illustrations show the screen view of the algorithm, input and output data, the structure and location of data in the calculation table at different stages of using the algorithm. This algorithm is applicable for a system most similar to a crop rotation system with separate working areas within a crop rotation field of variable size. The results are relevant in the field of applied information technologies and scientific applied research for use in agricultural production in order to improve the efficiency of land use. Keywords: APPLIED INFORMATION TECHNOLOGIES, BRANCHING ALGORITHM, STRUCTURE OF CROP ROTATION AREAS, FIELD EXPERIENCE

A SURVEY ON AUTOMATIC CODE GENERATION USING IMAGE MOCK-UPS

The idea is to use mock-ups as a way of designing the user interface of a complex program. The most complicated part of the software project is arguably writing the code to model the mock-up. So rather than spending time coming up with an algorithm to take care of the details, we use automatic code generation based on an action, objects relation, an optional default screen view. Deep learning models which transform image mock-ups of graphical user interface (GUI) to a program. It taken place by four steps object detection, object cropping, object recognition, program builder. This are used to build the websites, mobile application and software for the particular use. While in the stage of object identification the cropped components are labeled by CNN trained model.

Cancer Screening Experiences of Black Breast and Ovarian Cancer Patients and Family Members.

Black women experience disproportionate rates of advanced breast cancer diagnoses and mortality. Mammography is a proven and effective tool in early breast cancer detection and impacts patient outcomes. We interviewed Black women with a personal or family history of breast and/or ovarian cancer to understand their screening experiences and views. N = 61 individuals completed an interview. Interview transcripts were qualitatively analyzed for themes regarding clinical experiences, guideline adherence, and family sharing specific to Black women and their families. Most participants were college educated with active health insurance. Women in this cohort were knowledgeable about the benefits of mammography and described few barriers to adhering to annual mammogram guidelines. Some with first-degree family history were frustrated at insurance barriers to mammography before the age of 40. Participants were generally comfortable encouraging family and friends to receive mammograms and expressed a desire for a similar screening tool for ovarian cancer. However, they expressed concern that factors such as screening awareness and education, lack of insurance coverage, and other systematic barriers might prevent other Black women from receiving regular screening. Black women in this cohort reported high adherence to mammography guidelines, but expressed concern about cultural and financial barriers that may impact cancer screening access in the population more generally and contribute to disparities. Participants noted the importance of frank and open discussions of breast cancer screening in their families and community as a means of improving awareness.

Dutch individuals’ views of screening for oesophageal cancer: a focus group study

ObjectiveScreening for early oesophageal adenocarcinoma (OAC), including its precursor Barrett’s oesophagus (BO), can potentially reduce OAC-related morbidity and mortality. This study explores Dutch at-risk individuals’ views of screening an at-risk...

Physical Activity and Screen Viewing Behaviors Among Children Aged 6-9Years During the COVID-19 Pandemic.

The COVID-19 pandemic resulted in many restrictions worldwide, including lockdowns and school closures. This may have prevented children from meeting the recommended physical activity (PA) levels and screen time. The aim of this study was to examine the impact of the pandemic on school-age children's PA and screen time in Saudi Arabia. A cross-sectional study where caregivers of children aged 6-9years living in Saudi Arabia were recruited through convenience sampling to fill out an online survey between July and August 2020. The survey covered demographic information, PAs, and screen time across 3 periods: pre-COVID-19 pandemic, during the COVID-19 lockdown, and the last 7days preceding the survey during the pandemic where social distancing applied, but no lockdown. A total of 339 caregivers completed the online survey about their children. The number of active children slightly increased during the lockdown (9.7%) than before COVID-19 and the last days (5.8%); however, the average reported days of PA during the pandemic were fewer than before. The findings indicated that all 3 types of screen time (watch time, screenplay, and device time) were longer during the pandemic (mean [SD]: 9.5 [5.5]) than before the COVID-19 (mean [SD]: 5.8 [5.1]). While the proportion of active children had increased during the lockdown, the COVID-19 pandemic, the COVID-19 pandemic negatively impacted PA days and screen time in school-age children. School-age children in Saudi Arabia were already far from meeting global guidelines even before the pandemic, highlighting this population's need for healthy lifestyle promotion.

Abstract 3969: Screening of kinase inhibitors as bioenergetic metabolism modulator using the XF Real-Time ATP Rate Assay

Abstract Cancer cells are metabolically reprogrammed through tumor initiation and progression, and there are increasing developments in cancer therapies exploiting the potential metabolic vulnerability. A better understanding of cancer cell metabolic regulation can also contribute to modulating the harsh tumor microenvironment, which strongly affects the efficacy of emerging anti-cancer immunotherapies. As one of the critical contributors to cancer therapy design, there is increasing demand for time-efficient and reliable analytic tools when searching for drugs and genes modulating cancer cell metabolism. The XF Real-Time ATP Rate Assay measures ATP production from glycolysis and mitochondrial respiration simultaneously and provides a quantitative overview of the bioenergetic phenotype of the cells. By using ATP production rate as a universal unit of bioenergetic metabolism, this assay quickly detects metabolic modulations induced by chemical stimuli or genetic modifications. It allows the identification of potential targets for therapy design. In this study, we used the Seahorse XF Pro Analyzer combined with the XF ATP Rate assay to screen 80 kinase inhibitors for the suppressive effects on energy metabolism and/or inducing a metabolic phenotype shift in THP-1 cells, a monocytic leukemia cell line, using PBMC as the control. We identified four mitochondrial and two glycolytic suppressors using the screening and dose-response views available in Seahorse Analytics, a cloud-based data analysis tool for Seahorse XF assays. These compounds showed moderate or no effects on the net ATP production rates but induced a significant shift in the metabolic phenotype of THP-1 cells. Among the selected kinase inhibitors, AG-879 (ErbB2 inhibitor), SU-1498 (VEGFR inhibitor), and U-0126 (MEK1/2 inhibitor) showed the most potent inhibitory effect on mitochondrial energy production in THP-1 cells. Dose-response studies indicated that SU-1498 and U-0126 have higher potency in THP-1 than PBMC, and thus they can be considered good cancer-cell targets for mitochondrial suppressors. In contrast, AG-879 showed a similar or higher inhibitory effect on PBMC even though it is the most potent mitochondrial suppressor among the selected compounds. These results demonstrate that the XF Real-Time ATP Rate Assay can be used as a primary assay for screening and validating drug candidate(s) targeting the bioenergetic metabolism of cancer cells. Citation Format: Yoonseok Kam, Lisa Winer, Natalia Romero. Screening of kinase inhibitors as bioenergetic metabolism modulator using the XF Real-Time ATP Rate Assay. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3969.

Deep learning model for prenatal congenital heart disease (CHD) screening generalizes to the community setting and outperforms clinical detection.

Congenital heart defects (CHD) are still missed despite nearly universal prenatal ultrasound screening programs, which may result in severe morbidity or even death. Deep machine learning (DL) can automate image recognition from ultrasound. The aim of this study was to apply a previously developed DL model trained on images from a tertiary center, to fetal ultrasound images obtained during the second-trimester standard anomaly scan in a low-risk population. All pregnancies with isolated severe CHD in the Northwestern region of the Netherlands between 2015 and 2016 with available stored images were evaluated, as well as a sample of normal fetuses' examinations from the same region. We compared initial clinical diagnostic accuracy (made in real time), model accuracy, and performance of blinded human experts with access only to the stored images (like the model). We analyzed performance by study characteristics such as duration, quality (independently scored by study investigators), number of stored images, and availability of screening views. A total of 42 normal fetuses and 66 cases of isolated CHD at birth were analyzed. Of the abnormal cases, 31 were missed and 35 were detected at the time of the clinical anatomy scan (sensitivity 53 percent). Model sensitivity and specificity was 91 and 93 percent, respectively. Blinded human experts (n=3) achieved sensitivity and specificity of 55±10 percent (range 47-67 percent) and 71±13 percent (range 57-83 percent), respectively. There was a statistically significant difference in model correctness by expert-grader quality score (p=0.04). Abnormal cases included 19 lesions the model had not encountered in its training; the model's performance (15/19 correct) was not statistically significantly different on previously encountered vs. never before seen lesions (p=0.07). A previously trained DL algorithm out-performed human experts in detecting CHD in a cohort in which over 50 percent of CHD cases were initially missed clinically. Notably, the DL algorithm performed well on community-acquired images in a low-risk population, including lesions it had not been previously exposed to. Furthermore, when both the model and blinded human experts had access to stored images alone, the model outperformed expert humans. Together, these findings support the proposition that use of DL models can improve prenatal detection of CHD.

Prevalence and Determinants of Excessive Screen Viewing Time in Children Aged 3-15 Years and Its Effects on Physical Activity, Sleep, Eye Symptoms and Headache.

Screen viewing time is the total time spent by a child on any digital/electronic device. The objective of the present study was to determine the prevalence and predictors of excessive screen viewing time in children in Ujjain, India. This cross-sectional, community-based study was conducted through a house-to-house survey using the three-stage cluster sampling method in 36 urban wards and 36 villages of Ujjain District, India. Excessive screen viewing time was defined as screen viewing for >2 h/day. The prevalence of excessive screen viewing time was 18%. Risk factors identified using the multivariate logistic regression model were age (OR: 1.63, p < 0.001); mobile phone use before bedtime (OR: 3.35, p = 0.004); parents' perception about the child's habituation to screen time (OR: 8.46, p < 0.001); television in the bedroom (OR: 35.91, p < 0.001); morning mobile screen viewing time (OR: 6.40, p < 0.001); not reading books other than textbooks (OR: 6.45, p < 0.001); and lack of outdoor play for >2 h (OR: 5.17, p < 0.001). The presence of eye pain was a protective factor for excessive screen viewing time (OR: 0.13, p = 0.012). This study identified multiple modifiable risk factors for excessive screen viewing time.

STUDENTS’ PERCEPTIONS ON USING GOOGLE CLASSROOM FOR TEACHING OF BUSINESS EDUCATION COURSES IN UNIVERSITIES IN EDO STATE

The study examined students’ perceptions on using Google classroom for teaching of Business Education courses in universities in Edo State. The descriptive research design using the survey was adopted in the study. The population of the study covered all the four thousand two hundred and one (4201) Business Education students of Ambrose Alli University, Ekpoma and University of Benin, Benin City. A sample of 420 students representing 10 percent of the students from both institutions was drawn using the simple random sampling technique. A researcher developed questionnaire titled: Google Classroom Perception Questionnaire (GCPQ) was used to collect data. The test-retest reliability coefficient yielded an r-value of 0.79 and 0.82 on usefulness and benefits of Google classroom respectively. Research question 1 and 2 were analysed using mean (𝑋̅) and standard deviation (S.D). The result showed that students have positive perceptions on the usefulness of various features of Google classroom including the singular screen view for student assignments, class arrangement, transfer of class ownership, new class integration and also the commenting features for teaching education courses in universities in Edo State. Also, they had favourable disposition on the benefits of Google classroom with reference to time and file saving benefits, flexibility, user-friendly interface, teachers’ evaluation and feedback for teaching Business Education courses in universities in Edo State. It was thereby recommended that universities management should take advantage of students’ favourable disposition toward Google Classroom by encouraging Business education teacher to introduce the use of the application for assignment and group projects.

Web Mapping on Land Cover Change of Kathmandu, Lalitpur and Bhaktapur District

Land cover change is rapidly following path of environmental degradation, imbalance on ecosystem. Kathmandu, Lalitpur and Bhaktapur district has experienced a very high trend of urbanization and land use land cover change. Mapping this trend is absolutely necessary for sustainable development as well as conservation of the ecosystem. While there are desktop applications for making this mapping and analysis possible, upgrading to the web is the best possible way in order to interact with public as well as much easier way of data visualization, data analysis and data dissemination. This paper portrays the design and implementation process along with the visualization of a WebGIS platform via thin client architecture. A dynamic web map portal has been developed concerning the land cover change of Kathmandu, Lalitpur and Bhaktapur district. Among the several Free Open Source server software, OpenGeo Suite has been adopted for the project because it has a robust and flexible design that allows us to reliably handle and publish geospatial data. PostgreSQL/PostGIS, QGIS, Geoserver, Leaflet, and Apache Tomcat has been utilized as the web server in this suite. A fully functional website has been developed in order to host the maps and its components. WMS layers has also been published using Geoserver and styled as can be displayed on the web map portal. Leaflet plugins has been used with the help of which different tools like Zoom, Pan, Full Screen View and Distance Calculator are made available on the portal.

Perinatal Women’s Views of Pharmacist-Delivered Perinatal Depression Screening: A Qualitative Study

Internationally, 20% of women experience perinatal depression (PND). Healthcare providers including general practitioners and midwives are critical in providing PND screening and support; however, the current workforce is unable to meet growing demands for PND care. As accessible and trusted primary healthcare professionals, pharmacists could provide PND care to complement existing services, thereby contributing to early detection and intervention. This study aimed to explore perinatal women's views of community pharmacist-delivered PND screening and care, with a focus on their attitudes towards and acceptability of PND screening implementation in community pharmacy. Semi-structured interviews with women (n = 41) were undertaken, whereby interview data were transcribed verbatim and then inductively and thematically analysed. Five overarching themes emerged; "patient experience with existing PND support and screening services"; "familiarity with pharmacists' roles"; "pharmacist visibility in PND screening care"; "patient-pharmacist relationships" and "factors influencing service accessibility". Themes and subthemes were mapped to the Consolidated Framework for Implementation Research. Findings highlight participants' generally positive attitudes towards community pharmacist-delivered PND screening and care, and the potential acceptability of such services provided pharmacists are trained and referral pathways are established. Addressing perceived barriers and facilitators would allow community pharmacist-delivered PND screening and care to support existing PND care models.

Relationships between screen viewing and sleep quality for infants and toddlers in China: A cross-sectional study.

AimCurrently young children have more opportunity to access all kinds of media, while their sleep duration has been steadily decreasing. However, little is known about the relationships between screen viewing and sleep quality, and the reasons of screen viewing for children under three years old in China. This study aimed to describe the relationships between screen viewing and sleep quality of infants and toddlers in mainland China.MethodsA cross-sectional study was conducted. Eight hundred twenty-seven children were recruited at a health care unit from a university affiliated hospital in China, and the questionnaires were completed by their parents. An extended Brief Infant Sleep Questionnaire and a Screen Viewing Questionnaire were used to collect information on children's sleep quality and screen viewing. Multivariate linear regression models were used to assess the relationships between screen viewing and sleep quality among infants and toddlers, adjusted for sociodemographic variables.ResultsOf the 827 children, 26.9% of the infants and 61.4% of the toddlers did not comply with the World Health Organization (WHO) guideline on screen time. Even after adjusting for the sociodemographic covariates for both infants and toddlers, negative relationships between screen time and total sleep time (P < 0.001), and screen time and nighttime sleep (P < 0.001) existed. TV viewing time was negatively related to infants' total sleep time (β = −0.15, P < 0.001) and toddlers' nighttime sleep (β = −0.1, P < 0.05). Smartphone viewing time was negatively related to toddlers' total sleep time (β = −0.12, P < 0.05) and daytime sleep (β = −0.22, P < 0.05). Parents who offered screen media for children when they needed to do house chores were more likely to report that their children had less total sleep time (β = −0.1, P < 0.05) and shorter longest sleep episode (β = −0.1, P < 0.05).ConclusionThe majority of toddlers did not meet the WHO guidelines on screen time in China. Screen time was negatively related to total sleep time and nighttime sleep among infants and toddlers. Practical strategies, such as education programs on children's screen viewing, more outdoor exercises and indoor parent-child activities, providing other educational materials instead of screening, early sleep, restricted use of TVs and smartphones, and screen co-viewing, are needed to improve young children's sleep quality and promote their development.

Impact of rural residence and low socioeconomic status on rate and timing of prenatal detection of major congenital heart disease in a jurisdiction of universal health coverage.

Socioeconomic status (SES) and distance of residence from tertiary care may impact fetal detection of congenital heart disease (CHD), partly through reduced access to and quality of obstetric ultrasound screening. It is unknown whether SES and remoteness of residence (RoR) affect prenatal detection of CHD in jurisdictions with universal health coverage. We examined the impact of SES and RoR on the rate and timing of prenatal diagnosis of major CHD within the province of Alberta in Canada. In this retrospective study, we identified all fetuses and infants diagnosed with major CHD in Alberta, from 2008 to 2018, that underwent cardiac surgical intervention within the first year after birth, died preoperatively, were stillborn or underwent termination. Using maternal residence postal code and geocoding, Chan SES index quintile, geographic distance from a tertiary-care fetal cardiology center and the Canadian Index of Remoteness (IoR) were calculated. Outcome measures included rates of prenatal diagnosis and diagnosis after 22 weeks' gestation. Risk ratios (RR) were calculated using log-binomial regression and stratified by rural (≥ 100 km from tertiary care) or metropolitan (< 100 km from tertiary care) residence, adjusting for year of birth and the obstetric ultrasound screening view in which CHD would most likely be detected (four-chamber view; outflow-tract view; three-vessel or three-vessels-and-trachea or non-standard view; septal view). Of 1405 fetuses/infants with major CHD, prenatal diagnosis occurred in 814 (57.9%). Residence ≥ 100 km from tertiary care (adjusted RR, 1.19; 95% CI, 1.05-1.34) and higher IoR (adjusted RR, 1.9; 95% CI, 1.1-3.3) were associated with missed prenatal diagnosis of major CHD. Similarly, residence ≥ 100 km from tertiary care (adjusted RR, 1.41; 95% CI, 1.22-1.62) and higher IoR (adjusted RR, 3.6; 95% CI, 2.2-8.2) were associated with prenatal diagnosis after 22 weeks. Although adjusted and unadjusted analyses showed no association between Chan SES index quintile and prenatal-diagnosis rate overall nor for residence in rural areas, in metropolitan regions, lower SES quintiles were associated with missed prenatal diagnosis (quintile 1: RR, 1.24; 95% CI, 1.02-1.50) and higher risk of diagnosis after 22 weeks' gestation (quintile 1: RR, 1.46; 95% CI, 1.10-1.93; quintile 2: RR, 1.66; 95% CI, 1.24-2.23). Despite universal healthcare, rural residence in Alberta is associated with lower rate of prenatal diagnosis of major CHD and higher risk of late prenatal diagnosis (≥ 22 weeks). Within metropolitan regions, lower SES impacts negatively prenatal-diagnosis rate and timing. © 2022 International Society of Ultrasound in Obstetrics and Gynecology.

Cross-sectional Survey Examining Patient Attitudes and Preferences for Rescheduling Screening Colonoscopies Canceled due to the COVID-19 Pandemic.

In the wake of the first wave of the COVID-19 pandemic, almost half of patients stated they were not likely to follow through with a colonoscopy in the short term, about half were interested in screening with a stool-based test, and only one-quarter were interested in delaying screening until next year.Patients who perceived themselves at higher risk of colorectal cancer were less interested in stool-based testing, and patients who were more worried about colorectal cancer were less interested in delaying screening.A shared decision-making approach may be necessary to tailor screening discussions for patients during subsequent waves of the pandemic, other occasions where resources are limited and patient preferences vary, or where patients hold conflicting views of screening.

Lockdown due to COVID-19 in Spanish Children Up to 6Years: Consequences on Diet, Lifestyle, Screen Viewing, and Sleep.

Objectives: To record how the habits of children under 6 years of age in Cadiz have changed during lockdown, in order to identify those that could be a handicap for the problem of overweight and obesity. Methods: We developed a new questionnaire to analyse family living habits. The questionnaire was administered online to parents of children aged zero-six years. Eating habits, sedentary lifestyles, screen viewing, and sleep changes were evaluated. Results: Changes were found in family living habits, as shown by the results of McNemar’s tests (p-value < 0.01 in all pairs except one, p-value = 0.097). A worsening of habits was also found to be more accentuated in families with low income, low educational level or small size of home. Some positive aspects associated with family meals and parental involvement were found. Conclusions: The lockdown has showed a significant break in the main routines of the children that could affect their health and may add to the worsening of the already poor childhood obesity situation. The positive aspects found can be instrumental in improving the situation in future similar situations.

Perspectives of older adults, caregivers, healthcare providers on frailty screening in primary care: a systematic review and qualitative meta-synthesis

BackgroundScreening is often recommended as a first step in frailty management. Many guidelines call to implicate frailty screening into practice in the primary care setting. However, few countries or organizations implement it. Understanding and clarifying the stakeholders’ views and issues faced by the implementation is essential to the successful implementation of frailty screening. However, the systematic review on stakeholders’ views of frailty screening in primary care is decidedly limited. Our objective was to explore the perspective of older adults, caregivers, and healthcare providers on frailty screening and determine the enablers and barriers to implementing frailty screening in primary care.MethodsA systematic search of six databases and other resources was conducted following JBI’s three-step search strategy. The search resulted in 7362 articles, of which 97 were identified for further assessment according to the inclusion criteria. After the full-text screening, quality assessment and data extraction were carried out using the tools from Joanna Briggs Institute (JBI). Moreover, reviewers used the approach of meta-aggregative of JBI to analyze data and synthesis the findings.ResultsSix studies were included. A total of 63 findings were aggregated into 12 categories and then further grouped into three synthesized findings:1) capacity of healthcare providers and older adults; 2) opportunity in the implementation of frailty screening; 3) motivation in the implementation of frailty screening. These themes can help identify what influences the implementation of screening from the perspective of stakeholders.ConclusionsThis meta-synthesis provides evidence on the barriers and enablers of frailty screening in primary care, from the aspects of psychological, physical, social, material, etc. However, stakeholder perspectives of frailty screening have not been adequately studied. More research and efforts are needed to explore the influencing factors and address the existing barriers.

Correlation Between Dry Eye and Screen Viewing Time Among Young Adult

Screen use especially computers, phone and other visual display devices are now an essential part of our daily life. With the increased use, a large population is experiencing ocular symptoms globally such as dry eyes, eye strain, irritation and redness of the eyes. This study determined the correlation between dry eye and screen viewing time among young adult in Madonna university teaching hospital. This is an observational cross-sectional study with 100subjects. 50(50%) male and 50 (50%) female within the ages of 18-32years. A total of 100 questionnaire were collected, quantitative approach was used to determine dry eye using schimer’s strip and the data were analyzed using Pearson chi-square. The study discovered the percentage of age group of the participant which 53(53%) fell within 23-27 years with 28(28.0%) males and 25(25%) females, while 18-22years 38(38%) with 18(18%) males and 20(20%) females, 28-32years 9(9.0%) in which 4(4.0%) were males and 5(5.0%) were females. The study showed that the mean age was 23.18 and standard deviation of ±3.160. The mean and standard deviation gotten for dry eye were 21.43±10.96. The study also showed the screen viewing time distribution among the participants within the duration of 4-6hours as the highest occurring duration with 38(38.0%), while 7-9hours was 25(25%), 1-3hours was 19(19%) and above 9hours with the least 18(18%) with the total mean of 1.42 and standard deviation ± 0.997. Correlation between dry eye and screen time in respect to gender, for screen viewing time above 9hours were (p=0.00, p&lt;0.05) while correlation between dry eye and screen viewing time in relation to age group from 18-22years were (p=0.051, p&lt; 0.05), 23-27years (p=0.017, p&lt;0.05) and 28-32 (p=0.126, p&lt;0.05) with the total Pearson chi-square of 0.00 (p=0.00, p&lt;0.05). In conclusion there is statistical correlation between dry eye and screen viewing time especially for constant screen users. The researcher recommends proper orientation and institutional education on screen usage especially for constant users.

Self-Reported Total Screen Time and Viewing Modes Are Associated with Body Dissatisfaction, Disordered Eating, and Cosmetic Surgery Intentions among Young Adults.

While numerous studies have shown that media exposure is linked to body dissatisfaction and disordered eating behavior, limited research has examined these associations by screen-viewing mode. This study examined associations of total screen-time and screen-viewing modes with body dissatisfaction, disordered eating, and cosmetic surgery intention among young adults. Men (n = 3466) and women (n = 7300), aged 19 to 34 years, self-reported their screen-time on various TV viewing modes, and their body dissatisfaction, overeating, disordered weight control behaviors, and cosmetic surgery intentions. We fit linear, logistic, and multivariate models to examine cross-sectional associations between total screen-time and screen-viewing modes and body dissatisfaction, disordered eating, and cosmetic surgery intention. Handheld viewing was associated with body dissatisfaction for women only, and online viewing was associated with greater body dissatisfaction among both men (βˆ = 0.40; 95% CI, 0.15 to 0.65) and women (βˆ = 0.25; 95% CI, 0.10 to 0.40). Downloaded viewing was associated with higher odds of overeating behaviors among both men (OR = 1.24; 95% CI, 1.10 to 1.40) and women (OR = 1.21; 95% CI, 1.12 to 1.32), respectively. Although total screen time was associated with greater cosmetic surgery intention for both men (βˆ = 0.24; 95% CI, 0.09 to 0.39) and women (βˆ = 0.43; 95% CI, 0.28 to 0.58), sex differences were found for the viewing modes. Our results suggest that different viewing modes may be differently associated with men and women’s body image, disordered eating behavior, and cosmetic surgery intention. Future research should consider all modes of screen-viewing in our media environment.

Correlation Between Dry Eye and Screen Viewing Time Among Young Adult

Screen use especially computers, phone and other visual display devices are now an essential part of our daily life. With the increased use, a large population is experiencing ocular symptoms globally such as dry eyes, eye strain, irritation and redness of the eyes. This study determined the correlation between dry eye and screen viewing time among young adult in Madonna university teaching hospital. This is an observational cross-sectional study with 100subjects. 50(50%) male and 50 (50%) female within the ages of 18-32years. A total of 100 questionnaire were collected, quantitative approach was used to determine dry eye using schimer’s strip and the data were analyzed using Pearson chi-square. The study discovered the percentage of age group of the participant which 53(53%) fell within 23-27 years with 28(28.0%) males and 25(25%) females, while 18-22years 38(38%) with 18(18%) males and 20(20%) females, 28-32years 9(9.0%) in which 4(4.0%) were males and 5(5.0%) were females. The study showed that the mean age was 23.18 and standard deviation of ±3.160. The mean and standard deviation gotten for dry eye were 21.43±10.96. The study also showed the screen viewing time distribution among the participants within the duration of 4-6hours as the highest occurring duration with 38(38.0%), while 7-9hours was 25(25%), 1-3hours was 19(19%) and above 9hours with the least 18(18%) with the total mean of 1.42 and standard deviation ± 0.997. Correlation between dry eye and screen time in respect to gender, for screen viewing time above 9hours were (p=0.00, p&lt;0.05) while correlation between dry eye and screen viewing time in relation to age group from 18-22years were (p=0.051, p&lt; 0.05), 23-27years (p=0.017, p&lt;0.05) and 28-32 (p=0.126, p&lt;0.05) with the total Pearson chi-square of 0.00 (p=0.00, p&lt;0.05). In conclusion there is statistical correlation between dry eye and screen viewing time especially for constant screen users. The researcher recommends proper orientation and institutional education on screen usage especially for constant users.

High-entropy nanoparticles: Synthesis-structure-property relationships and data-driven discovery.

High-entropy nanoparticles have become a rapidly growing area of research in recent years. Because of their multielemental compositions and unique high-entropy mixing states (i.e., solid-solution) that can lead to tunable activity and enhanced stability, these nanoparticles have received notable attention for catalyst design and exploration. However, this strong potential is also accompanied by grand challenges originating from their vast compositional space and complex atomic structure, which hinder comprehensive exploration and fundamental understanding. Through a multidisciplinary view of synthesis, characterization, catalytic applications, high-throughput screening, and data-driven materials discovery, this review is dedicated to discussing the important progress of high-entropy nanoparticles and unveiling the critical needs for their future development for catalysis, energy, and sustainability applications.