Background Variables Research Articles

Gender differences in the treatment with PCSK9 monoclonal antibodies real world experience from a dedicated prevention clinic

Abstract Background Proprotein convertase subtilisin/kexin type 9 monoclonal antibodies (PCSK9 mAb) lower low-density lipoprotein cholesterol (LDL-C) levels and reduce atherosclerotic cardiovascular disease (ASCVD). There are gender differences in PCSK9 biological characteristics, which are not properly addressed in current data. Purpose Examining gender differences in treatment with PCSK9 mAb. Methods A retrospective study based on data from the Prevention Cardiology Clinic in Rabin Medical Center. Included were patients prescribed with PCSK9 mAb (evolocumab or alirocumab), for primary or secondary prevention. Data included medical background and treatment variables. Response to treatment was evaluated by changes in LDL-C at 3 and 12 months. Data was analyzed by gender. Results Study included 246 patients (mean age 67y, ASCVD 78.8%, mean baseline LDL-C 128.2 mg/dL). Women (42% of cohort) prescribed with PCSK9 mAb were older than men (69 vs. 65 years, respectively; p<0.001). The dominant indication for PCSK9 mAb for both genders was secondary prevention, while primary prevention indication was more prevalent in women vs. men (39.4% vs. 16.3%, respectively; p<0.001). Statin intolerance was observed in 82.4% and 58.6% were treated with combination therapy with PCSK9 mAb, without significant gender differences. Baseline mean LDL-C was higher among women vs. men (138.9 vs. 117.3 mg/dL; p<0.001). Overall, high adherence was observed (91.8% and 79.7% at 3 and 12 months, respectively). After 1-year, adherent men had lower LDL-C levels than women (46.8 mg/d and 61.9 mg/dL, respectively; P=0.001), and were more likely to reach their LDL-C therapy goals; below 70 mg/dL (76.1% vs. 62.2%, respectively; P=0.032) and below 55 mg/dL (60.1% vs. 39.8% respectively; P=0.003). Conclusions In patients treated with PCSK9 mAb, gender differences exist in prescription age, indications, baseline LDL-C and achieved LDL-C goals. In this study adherence to PCSK9 mAb was higher than reported before, possibly due to surveillance in a dedicated prevention clinic.LDL-C & Non-HDL-C levels under PCSK9 mABSex Differences in acheived LDL-C goals

Levels of adherence to the Planetary Health Diet of current diets in Italian adults

Abstract Despite the efforts in the direction towards the identification of healthy and sustainable diets, little is known about the environmental impact associated with current diets. The aim of this study was to validate the application of the Planetary Health Diet Index (PHDI) to dietary habits currently adopted in a sample of adults living in southern Italy and background variables associated. Dietary intake from nearly 2000 individuals was assessed through a validated 110-item food frequency questionnaire. The PHDI was applied by considering the energy contribution of 16 different components with a gradual scoring system. For the estimation of the environmental impact, carbon and water footprint data for food commodities were extracted from the SU-EATABLE LIFE database and matched with the FFQ items. An energy-adjusted linear association between the PHDI scores and the majority of food groups included in the analysis was found; when considering the level of food processing, ultra-processed food consumption was inversely associated with PHDI scores. Among nutrients, PHDI scores were directly associated with fiber, antioxidant vitamins, potassium, plant-derived omega-3 poly-unsaturated fats, and inversely with sodium, total, saturated, mono- and poly-unsaturated fats, cholesterol, and protein. A significant difference in carbon and water footprint was observed across quartiles of PHDI scores as well as a linear direct association. After adjustment for potential confounding factors, 1-point increase in the PHDI score was associated with lower likelihood of being overweight or obese (OR = 0.99, 95% CI: 0.98-0.99). A linear inverse association between PHDI scores and waist and hip circumferences and, partially, with BMI but not with body weight was found. In conclusion, the PHDI seems to properly identify an environmentally friendly diet with a good nutritional quality. Key messages • An environmental-friendly dietary pattern resulted also having a good nutritional profile. • Adherence to the Planetary Health Diet is associated with parameters of central obesity.

Angina pectoris prevalence and sick leave burden one year after MINOCA

Abstract Background Myocardial infarction with non-obstructive coronary arteries (MINOCA) represents approximately 5-10% of all myocardial infarctions (MI), with heterogenous etiologies and insufficient knowledge on symptom burden after the acute phase. Purpose To evaluate the prevalence of angina and sick leave in MINOCA, using individuals with MI due to coronary artery disease (MI-CAD) as control. Methods This observational study used prospectively collected data from the Swedish national quality register SWEDEHEART. All individuals with invasively assessed, first time MI between 2005 – 2022, available at one year follow-up were included and categorized as MINOCA (normal coronary arteries or <50% lumen obstruction) or MI-CAD (>50% lumen obstruction). We excluded subjects with previous coronary intervention, previous heart failure, tachy- or bradyarrhythmia at admission and not fully revascularized MI-CAD. Chest pain was assessed by a clinical nurse and angina graded according to the Canadian Cardiovascular Society, excluding non-ischemic chest pain. Occupational status was self-reported. Results We included N=46 428 individuals (mean age 62, 71% male; MINOCA n= 5281/MI-CAD n=41 157). Subjects with MINOCA were predominantly females, more commonly divorced or widowed, non-smoking and had a higher degree of hypertension, hyperlipidemia, and chronic obstructive pulmonary disease, compared to fully revascularized MI-CAD. Angina prevalence was 11.6 % and 8.8% in MINOCA and MI-CAD respectively (p <0.001). After adjustment for background variables clinically relevantly associated to both MI type and anginal status OR was 1.21 [95% CI 1.10 – 1.34] (Figure 1). Sick leave was more common in MINOCA both at index care, and at one year (8.0 vs 5.6 % and 13.4 vs 10.9%, both p <0.001) (Figure 2). Conclusion MINOCA patients suffer significant distress, with higher levels of angina and sick leave compared to fully revascularized MI-CAD counterparts. Further research on causes of ischemic symptoms in this heterogenous condition is warranted.

Factors associated with sleeping difficulties in patients with heart failure

Abstract Background Sleeping difficulties is prevalent in heart failure (HF) and a predictor of cardiac events in patients with HF. Purpose To describes the prevalence of sleeping difficulties in patients with HF and factors associated. Method This study used data of a multicentre RCT entitled Tele-Yoga study (clincialtrials.gov:NCT03703609). Patients were included in the analysis when they were diagnosed with HF and completed a questionnaire on sleeping difficulties. Sleeping difficulties were measured with the Minimal Insomnia Symptom Scale (MISS), patients with a score a 6 or higher patients were characterised as having sleeping difficulties. Through a literature search we identified factors that could be associated with sleeping difficulties. Demographic and clinical background variables (age, sex, BMI, marital status, working status, having atrial fibrillation and/or diabetes), anxiety and depressive symptoms (Hospital Anxiety and Depression scale) and Health related Quality of Life (EQ-5D index score) were considered. Logistic regression was performed with backwards elimination of the factors considered associated with having or not having sleeping difficulties. Results In total 244 patients were included (mean age 67±10, 28% women), whereas 27% had sleeping difficulties (n = 68, a score a 6 or higher on the MISS); 28% had moderate till very severe difficulties initiating sleep (n=77), 53% had moderate till very severe problems by waking up at night (n=130), 38% had moderate till very severe problems by not feeling refreshed by sleep (n=92). The logistic regression showed that patients with sleeping difficulties were significantly more often single (27% vs. 18%, OR 0.336 P-value=0.023), more often not working (72% vs. 69%, OR 2.524, P-value=0.047) more often experienced symptoms of anxiety (45% vs. 10%, OR 4.882, P-value<001) and had a lower quality of life, (0.637±0.261 vs. 0.786±0.203, OR 0.042 P-Value=0.001) compared to patients with no sleeping difficulties. Conclusion Patients having symptom of anxiety were at five times greater risk of experiencing sleeping difficulties. Being in a relationship and being employed were associated with less sleeping difficulties. Additionally, patients with sleeping problems reported lower quality of life.

Detecting the Impact of Remote Proctored At‐Home Testing Using Propensity Score Weighting

Studies of test score comparability have been conducted at different stages in the history of testing to ensure that test results carry the same meaning regardless of test conditions. The expansion of at‐home testing via remote proctoring sparked another round of interest. This study uses data from three licensure tests to assess potential mode effects associated with the dual option of on‐site testing at test centers and at‐home testing via remote proctoring. We generated propensity score weights to balance the two self‐selected groups in order to detect the mode effect on the test outcomes. We also assessed the potential impact of omitted variables on the estimated mode effect. Results of the study indicate that the demographic compositions of the test takers are similar before and after the introduction of the RP option. Examinees under the two testing modes differ slightly on certain background variables. Once the group differences are adjusted by propensity score weighting, the estimated mode effects are small and nonsystematic across test titles overall. We note some variations across subgroups based on gender and race.

Listening comprehension in a home language: a case of Russian in Germany.

Listening comprehension is central to language learning, yet it remains the least understood and least researched skill. This statement is still relevant today, as there is insufficient research to explore listening comprehension from the perspective of family-related multilingualism and to consider the complete linguistic repertoire of multilingual speakers. Moreover, with regard to home language, listening comprehension is assumed to be a more developed language competence than reading or writing. Based on the mentioned research, the aim of the present study is to investigate listening comprehension and its influencing factors specifically in German-Russian simultaneous bilinguals aged 13-19 (n = 99) by considering the home- and majority language. The study uses quantitative data collection methods such as linguistic tests in Russian and German for the elicitation in different levels of listening and questionnaires for strategy use and background. The research questions are as follows: What does the language proficiency and input in Russian look like? (1) Regarding listening comprehension in Russian as a home language, are there differences between the speakers within comprehension on different levels, e.g., is sound decoding easier than sentence parsing? (2) If there are differences in Russian as a home language, which linguistic and background variables can correlate with the performance of listening comprehension on its different levels? Concerning the first research question, the results show relevant differences between four different levels of listening comprehension (phoneme, word, sentence, and text level), which strengthened the assumed complexity of listening comprehension in the home language. In addition, the results show different connections between the listening comprehension competence and the input from different family members, as well as exposure to film and television in the home and majority language.

Inequality of Opportunity and the Probability of Being Very Rich or Very Poor

This paper models the effects of individuals' background variables on the chances they end up in the extremes of the income distribution. Taking high‐quality Australian panel data, we show that factors like the education of one's father have a much stronger impact on belonging to the top 1 per cent than they have on the conditional mean. Similarly, individuals from immigrant families are more likely to belong to both the left and the right tails of income distribution. Identifying the drivers of extreme incomes is important as individuals with very high incomes exert disproportionate political power, while those with very low incomes may drive prejudice and perceptions of disadvantage.

Cooking Time, Seed Darkening, and Iron and Zinc Concentrations of Selected Andean Genotypes of Common Bean

ABSTRACTCooking time (CT), post‐harvest darkening (PHD), and micronutrient content influence consumer preference of common bean (Phaseolus vulgaris L.) varieties. The objective of this study was to evaluate Andean genotypes for CT, PHD, and seed iron and zinc concentration. A total of 52 genotypes belonging to three market classes, namely, purple‐speckled (Kabulangeti), yellows, and cranberry (sugar beans), were grown at the Golden Valley Agricultural Research Trust (GART) Farm and the Mpika Research Farm in Zambia and assessed for CT, PHD, and seed iron and zinc concentration. The fastest cooking genotype among all 52 genotypes was a yellow genotype, Y1612‐5. Yellow genotypes generally cooked faster than the Kabulangeti and sugar types. Among the elite lines with Kabulangeti seed types, which is a dominant market class in Zambia, the elite line K175 had faster CT and higher iron and zinc concentration than the Kabulangeti landrace race currently available on the Zambian market. Kabulangeti and sugar genotypes showed regular darkening, whereas yellows did not darken. The yellow genotype Y1612‐3 was particularly outstanding because of its unique combination of high concentrations of both iron and zinc. Therefore, it can be used to introgress these two essential minerals into variable genetic backgrounds. The significant variability and high to moderate heritability for CT (0.85) and iron (0.81) and zinc (0.58) concentration observed in the current study suggest that it is possible to make progress in breeding for faster cooking varieties that are rich in iron and zinc.

Validating scores from the short form of the Music Self-Perception Inventory (MUSPI-S) with seventh- to ninth-grade school students in Germany

The Music Self-Perception Inventory-Short (MUSPI-S) is a theoretically based instrument consisting of 28 items with subscales that assess music self-concept globally and in six specific areas. The present study sought to validate a German translation of the MUSPI-S using a sample of 444 secondary school students. In addition to participants’ scores from the German translation of the MUSPI-S, associated data included demographic background variables, self-reported school grades in various subjects, and interest in the school subject of music. Confirmatory factor analyses supported the hypothesized factor structure and measurement model for MUSPI-S scores. Latent factor correlations among MUSPI-S subscale scores and correlations of these scores with school grades and interest in the school subject of music aligned well with theoretical expectations and previous research. Findings also provided evidence for strict measurement invariance of scores in the German MUSPI-S across subgroups of gender, school year (i.e., grade level), and musical activity. MUSPI-S subscale factor-level means did not reliably differ among seventh-, eighth-, and ninth-grade students but favored females over males and musically active over non-active students on nearly all subscales. Overall, this evidence supports the use of the German translation of the MUSPI-S in assessing a wide range of important self-perceived musical abilities for research and practical assessment purposes.

Assessing the deep learning based image quality enhancements for the BGO based GE omni legend PET/CT

BackgroundThis study investigates the integration of Artificial Intelligence (AI) in compensating the lack of time-of-flight (TOF) of the GE Omni Legend PET/CT, which utilizes BGO scintillation crystals.MethodsThe current study evaluates the image quality of the GE Omni Legend PET/CT using a NEMA IQ phantom. It investigates the impact on imaging performance of various deep learning precision levels (low, medium, high) across different data acquisition durations. Quantitative analysis was performed using metrics such as contrast recovery coefficient (CRC), background variability (BV), and contrast to noise Ratio (CNR). Additionally, patient images reconstructed with various deep learning precision levels are presented to illustrate the impact on image quality.ResultsThe deep learning approach significantly reduced background variability, particularly for the smallest region of interest. We observed improvements in background variability of 11.8%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}, 17.2%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}, and 14.3%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document} for low, medium, and high precision deep learning, respectively. The results also indicate a significant improvement in larger spheres when considering both background variability and contrast recovery coefficient. The high precision deep learning approach proved advantageous for short scans and exhibited potential in improving detectability of small lesions. The exemplary patient study shows that the noise was suppressed for all deep learning cases, but low precision deep learning also reduced the lesion contrast (about −30%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}), while high precision deep learning increased the contrast (about 10%\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\%$$\\end{document}).ConclusionThis study conducted a thorough evaluation of deep learning algorithms in the GE Omni Legend PET/CT scanner, demonstrating that these methods enhance image quality, with notable improvements in CRC and CNR, thereby optimizing lesion detectability and offering opportunities to reduce image acquisition time.

Exploring Differences in Leadership Behaviors and in the Perceived Work Environment Between Younger and Older Managers in a Swedish Mining Company

AbstractThis study examines differences in leadership behaviors and in the perceived work environment between older and younger managers in a large Swedish mining company. The leadership behaviors and work environment of young managers in the mining industry will become more important in the future due to the changes taking place in the industry. Such changes include the older generation of managers reaching retirement age, while the industry generally finds it difficult to recruit a younger generation of employees. Moreover, rapid technology-centered transition, such as the green transition of the mining industry, is underway which may put young managers in particular under pressure. Meanwhile, research on young managers in the mining industry more broadly is sparse. Data for this study was mainly gathered via a questionnaire, complemented by data from interviews. The questionnaire included 48 validated self-rate questions on background variables, social and organizational working conditions, health, and leadership behavior. The survey was answered by 216 managers (response rate: 63%). Interviews were carried out with ten young managers (35 years or younger). The study found no statistically significant differences between younger and older managers with regards to workload, working hours, health, and work satisfaction. We found that older managers rate themselves higher, at a statistically significant level, for change-oriented leadership behaviors. However, when age is analyzed together with other variables that are significantly different between the two groups, only managerial experience and managerial positions show statistically significant associations with change-oriented and healthy and effective leadership behaviors. The interviews indicate that the young managers encounter challenges that are related to their experience and training, but few are related to their age. Given the influence of managerial experience on leadership behaviors, leadership training appears to be an important area of intervention, and conditions must be improved to enable change-oriented leadership among managers in the mining industry, with a greater focus on young managers.

Seasonal dynamics and regional distribution patterns of CO2 and CH4 in the north-eastern Baltic Sea

Abstract. Significant research has been carried out in the last decade to describe the CO2 system dynamics in the Baltic Sea. However, there is a lack of knowledge in this field in the NE Baltic Sea, which is the main focus of the present study. We analysed the physical forcing and hydrographic background in the study year (2018) and tried to elucidate the observed patterns of surface water CO2 partial pressure (pCO2) and methane concentrations (cCH4). Surface water pCO2 and cCH4 were continuously measured during six monitoring cruises onboard R/V Salme, covering the Northern Baltic Proper (NBP), the Gulf of Finland (GoF), and the Gulf of Riga (GoR) and all seasons in 2018. The general seasonal pCO2 pattern showed oversaturation in autumn–winter (average relative CO2 saturation 1.2) and undersaturation in spring–summer (average relative CO2 saturation 0.5), but it locally reached the saturation level during the cruises in April, May, and August in the GoR and in August in the GoF. The cCH4 was oversaturated during the entire study period, and the seasonal course was not well exposed on the background of high variability. Surface water pCO2 and cCH4 distributions showed larger spatial variability in the GoR and GoF than in the NBP for all six cruises. We linked the observed local maxima to river bulges, coastal upwelling events, fronts, and occasions when vertical mixing reached the seabed in shallow areas. Seasonal averaging over the CO2 flux suggests a weak sink for atmospheric CO2 for all basins, but high variability and the long periods between cruises (temporal gaps in observation) preclude a clear statement.

Continuing Safety Education and Workplace Efficacy of Student Workers

This study aims to evaluate students' awareness of safety education and its impact on work effectiveness. By analyzing background variables such as students' gender, age, grade, work experience, student status, and college affiliation, this study explored the relationship between safety education and work effectiveness. The results showed that students' awareness of safety education directly affects their task execution and situational performance on campus and in the workplace. In addition, the study showed that strengthening the popularization and effective cooperation of safety education on campus can help improve students' work effectiveness and campus safety management. This study recommends further improving the quality of safety education by strengthening training, promoting safety knowledge, and improving safety facilities, and strengthening the cultivation of safety awareness during students' internships and employment.

The association between depression and cannabis use with technology multitasking among Finnish university students – a pilot study

Multitasking with technology – the simultaneous use of two or more media devices – has increased in recent years. However, to date, little research has been done on the subject, and it is therefore important to gain more information on its effects. The aim of this preliminary study was to examine associations between technology multitasking, depression symptoms and cannabis use among Finnish university students; background factors which affect technology multitasking were also considered. The study was a cross-sectional study. Participants were Finnish university students (n = 260) and the data were gathered through a survey. The data were analyzed using descriptive statistics, independent t-test, correlation coefficient and linear regression analysis. The results demonstrated that specific background variables are associated with technology multitasking, whereas there was no significant association between depression symptoms and cannabis use with technology multitasking. It transpired that female gender, age and daily mobile phone use related significantly to technology multitasking. The study identified certain background factors which affect technology multitasking; technology multitasking was more common among girls and younger participants. There were no significant associations between technology multitasking and depression symptoms or cannabis use, but the results should be interpreted with caution due to the small study population. Instead, higher daily internet use was significantly associated with increased depression symptoms. Technology multitasking is a very recent subject for research, so it is important to improve our knowledge and gain new insights. The results can be used to design various health promotion projects, and multiple actors such as municipalities or organizations can use the data to e.g., plan targeted interventions.

Assessing and Improving the Quality of Undergraduates in Preschool Education Programs in China: The Course Experience

This study examined the current status of course satisfaction among Chinese preschool undergraduate students and the prediction of five influencing factors on students satisfaction: teacher instruction, course management, course setting, course environment, and course resources. The findings revealed that: 1. the mean value of course experience was M=3.861 (out of 5); 2. there were differences in the satisfaction of undergraduate students' course experience by different background variables; 3. course, course resources, and loyalty had significant predictive power on undergraduate students' satisfaction with course experience; 4. instructor instruction (TI) did not significantly predict students' satisfaction with course experience (SCES) (p> 0.001); 5. Faculty instruction (TI) in this study had the highest mean satisfaction score (M = 4.191) and the mean satisfaction score was only (M = 3.861). The results show that the current status of course satisfaction among Chinese preschool undergraduates is at an moderate level, and there is more space for improvement; although students' satisfaction with teacher instruction (TI) is high, effective teacher instruction does not have a substantial impact on the acquisition of SCES or general competencies, and this passive learning and teaching style leads to a lack of independent learning and active participation among Chinese preschool undergraduate students.

Academic and general language proficiency in post-entry language assessment

Abstract In higher education systems with no or low entry requirements for domestic students, post-entry language assessments (PELAs) are often used to detect at-risk students. This study investigates how two language proficiency measures relate to students’ academic achievement: an academic reading and vocabulary (ARV) screening test, and the computer test of the Interuniversitaire Taaltest Nederlands voor Anderstaligen (ITNA), a Dutch L2-entrance test. The ARV screening test, ITNA and its language in use subtest show moderate to weak correlations with achievement. While the ARV screening test selects a large potential at-risk group; the few students failing the ITNA, language in use or scoring lower than ‘very good’ on language in use have a higher risk of underperforming. When controlling for students’ background variables, only academic language proficiency remains a significant predictor. While academic language proficiency seems more appropriate as a PELA construct, general language proficiency may identify a small, but high-risk group.

The Geographical Conditioning of Regional Differentiation Characterising the COVID-19 Pandemic in European Countries.

The aim of this paper is to assess the influence of selected geographical factors on the diversity of the development of the COVID-19 pandemic in Europe's regions, and on its dynamics across the continent. The work took into account 250 of NUTS-2 regions. The datasets included the course of the COVID-19 pandemic (two dependent variables), intervening actions (four variables of the research background), and potential environmental and socio-economic conditioning (twelve independent variables). The dependent variables' set was composed of two indexes: morbidity and temporal inertia. The temporal scope of the research was 23 March 2020-15 May 2022, with weekly resolution. By means of multiple linear regression model, the influence of the administrative actions and of the selected natural and socio-economic factors was assessed. Finally, a synthetic Regional Epidemic Vulnerability Index (REVI) for each individual region was calculated. It allowed us to classify the regions into three categories: resistant, neutral, or sensitive. REVI's spatial distribution indicates that the zone of above-average vulnerability occurred in the western part of Europe and around the Alps. Therefore, focus ought to extend beyond regional statistics, towards spatial relationships, like contiguous or transit position. This research also validated the strong impact of national borders.

New Trends in Education: Computational Thinking and Its Role in Improving the Quality of School Human Resources

This study aims to analyze how the application of computational thinking can affect students' analytical and problem-solving skills, as well as change the mindset of teachers from conventional teachers to innovators in one of the Junior High Schools in Banjarmasin City. This study uses a qualitative case study approach. Data were collected through observation, interviews, and documentation. Data were analyzed using thematic analysis techniques, including coding, identifying important themes, and interpretation in the context of computational thinking theory. Data triangulation was carried out by comparing the results of observations, interviews, and document analysis to ensure the validity of the findings. The results of the study indicate that computational thinking plays a significant role in improving students' technical and analytical skills and encouraging the transformation of teachers' mindsets towards a more innovative and adaptive approach to technology. In addition, this study also found that the implementation of computational thinking successfully addressed the gap in technology skills among students, thereby increasing educational equality. The implications of this study indicate that the application of computational thinking in the school curriculum can be an effective strategy to improve the quality of education in Indonesia. However, this study is limited to one location. It does not consider gender factors and variations in student backgrounds, so further research is needed with a wider scope to obtain a more comprehensive picture.

Moderators of the Effects of a Digital Parenting Intervention on Child Conduct and Emotional Problems Implemented During the COVID-19 Pandemic: Results From a Secondary Analysis of Data From the Supporting Parents and Kids Through Lockdown Experiences (SPARKLE) Randomized Controlled Trial.

A smartphone app, Parent Positive, was developed to help parents manage their children's conduct and emotional problems during the COVID-19 pandemic. A randomized controlled trial, Supporting Parents and Kids Through Lockdown Experiences (SPARKLE), found Parent Positive to be effective in reducing children's emotional problems. However, app effectiveness may be influenced by a range of child, family, socioeconomic, and pandemic-related factors. This study examined whether baseline factors related to the child, family, and socioeconomic status, as well as pandemic-related disruption circumstances, moderated Parent Positive's effects on child conduct and emotional problems at 1- and 2-month follow-up. This study was a secondary exploratory analysis of SPARKLE data. The data set included 646 children (4-10 years of age) with parents randomized to either Parent Positive (n=320) or follow-up as usual (n=326). Candidate baseline moderators included child age, gender, attention-deficit/hyperactivity disorder symptoms, parental psychological distress, family conflict, household income, employment status, household overcrowding, and pandemic-related disruption risk (ie, homeschooling, lockdown status, and isolation status). Child conduct and emotional problem outcomes measured at 1- (T2) and 2-months (T3) post randomization were analyzed using linear mixed-effects analysis of covariance models adjusting for baseline (T1) measure of outcome and including intervention and intervention by time point interaction terms allowing for different effects at the 2 time points. Moderation of intervention effects by baseline factors was assessed by replacing the intervention by time interaction terms with intervention by time point by baseline moderator interaction terms. Child gender was a significant moderator of the Parent Positive versus follow-up as usual effect on emotional problems (B=0.72, 95% CI 0.12-1.33; P=.02). Specifically, the effect of Parent Positive was close to significant (T2: B=-0.41, 95% CI -0.82 to 0.0004; P=.05) or significant (T3: B=-0.76, 95% CI -1.22 to -0.30; P<.001) in males only when compared with females, and males experienced a significantly larger reduction in emotional problems than females in the Parent Positive arm at the 2-month post randomization time point. None of the other investigated baseline factors moderated effects on emotional problems, and no factors moderated effects on conduct problems. This study highlights Parent Positive's potential for effectively reducing emotional problems in primary school-aged male children across a wide range of families. However, due to limited variability in the demographic background of the families, cautious interpretation is required, and replications are necessary in diverse samples with longer follow-up times. ClinicalTrials.gov NCT04786080; https://clinicaltrials.gov/ct2/show/NCT04786080.

The Effect of the Presence and Absence of DNA Repair Genes on the Rate and Pattern of Mutation in Bacteria.

Bacteria lose and gain repair genes as they evolve. Here, we investigate the consequences of gain and loss of 11 DNA repair genes across a broad range of bacteria. Using synonymous polymorphisms from bacteria and a set of 50 phylogenetically independent contrasts, we find no evidence that the presence or absence of these 11 genes affects either the overall level of diversity or the pattern of mutation. Using phylogenetic generalized linear squares yields a similar conclusion. It seems likely that the lack of an effect is due to variation in the genetic background and the environment which obscures any effects that the presence or absence of individual genes might have.