Measurement Of Variables Research Articles

Unveiling the Dynamics of Canopy Transpiration: A Novel Model Integrating Stomatal and Aerodynamic Resistance in Semi-Humid Forests

Canopy–atmospheric water vapor output resistance (gs) is a key parameter in researching forest canopy transpiration. It is important for quantifying the water vapor exchange in forest ecosystems. However, the method by which gs is determined has been controversial, and it cannot precisely represent water vapor exchange. This study aimed to develop a model to quantify the water vapor resistance between the canopy and the atmosphere in Platycladus orientalis (P. orientalis) forests using sap flow and meteorological factors monitoring data. The resistance model was constructed using the relationship between canopy stomatal resistance (gc) and aerodynamic resistance (ga) from the mechanism perspective, and sap flow data and measurements of meteorological variables were used to model the stomatal and aerodynamic resistance of the canopy. The results indicate that the canopy-atmospheric water vapor output resistance was closer to the measured values and showed a unimodal curve in the diurnal scale, and this change could provide more accurate measurements of tree transpiration. At the same time, the canopy-atmospheric water vapor output resistance was strongly influenced by wind speed and PAR when 0.2 m/s < u < 0.4 m/s (R2 = 0.871, p < 0.01). The stomatal and aerodynamic resistance were also both strongly influenced by wind speed, with the proposed model achieving a high degree of fit (R2 = 0.949, p < 0.01), providing a new tool for analyzing forest transpiration. This research provides a new perspective and technical reference for clarifying the mechanism of forest canopy water output.

Evaluation of pesticide contamination risks and sustainable practices in Ecuadorian agriculture

Pesticide use is crucial in global agriculture to control pests and increase crop yields. In Ecuador, the use of pesticides, including fungicides and insecticides, is common in crops such as potatoes and tomatoes. However, the indiscriminate use of these products has proven to have negative consequences for human health and the environment. This study investigates these risks in Ecuadorian agriculture, specifically in the Paute canton, where inadequate data exacerbates these issues. Employing a descriptive research design, data were collected through validated surveys administered to 30 farmers (9 women and 21 men) residing in various rural communities. The study also included observational methods to complement survey data. Findings reveal that farmer, predominantly with primary education, face health risks from inappropriate pesticide use. Symptoms reported include eye irritation, headaches, and nasal irritation, which vary based on education level and safety practices. The research highlights the urgent need for improved pesticide management through targeted training and sustainable practices. This study’s insights into the extent of health issues and variability in safety measures provide a basis for developing effective interventions to mitigate the health and environmental impacts of pesticide use in Paute and similar regions.

Device to Measure, Monitor and Control Variables for Agricultural Purposes

The measurement of meteorological variables is important for decision-making in the field. Accurate data can help farmers optimize their activities to improve food production. Traditional methods of monitoring variables can be expensive or complex for small-scale farmers to use. This indicates a need for low-cost and user-friendly devices. Currently, there is technology for developing these types of devices, which could be useful to automate processes based on variable monitoring and improve food production. Due to this, a device based on the Arduino Mega<SUP>TM</SUP> board was developed to monitor air temperature, relative humidity, rain, and soil moisture. In addition, equipment was developed to be controlled based on a rain gauge. The device has a TFT touch screen for easy-user interaction and 4 menus for information display (summary, floor, date-time and manual equipment control). The program of the device required more lines of code (59.65%) to establish user-device interaction compared to its internal processes (18.66%) and variable declarations (21.68%). A container was 3D printed to house all the integrated circuits and the device was tested under both indoor (Jun-10, 2024 to July-17, 2024) and outdoor (Jul-22, 2024 to Aug-18, 2024) conditions. Under indoor conditions, a 3% difference was found in the temperature measurements taken under the same conditions (using DS18B20 and MLX90614 sensors). Under outdoor conditions it was found that the air temperature decreased by an average of 2.33°C when increasing the height from 8ft to 16ft and the relative humidity decreased by an average 3.48% when increasing the height from 8ft to 16ft. There was a 3.4% difference in total rain measured by the rain gauges. Finally, the developed device performed adequately during the two months of testing in both conditions, measuring variables and controlling equipment (the equipment went from waiting mode to rain harvesting mode 92 times).

Farmers Response to the Partnership System in Broiler Chicken Livestock Business in East Lombok District

This study aims to describe the response of farmers, and to analyze the correlation between selected characteristics of farmers and farmers' responses to the partnership system in broiler chicken farming businesses in East Lombok Regency, West Nusa Tenggara Province. The study was conducted from April to July 2021 using a descriptive-correlational method. In this study, 30 plasma farmers were selected as respondent samples using proportional random sampling. Measurement of variables, both independent variables and dependent variables, was carried out using an ordinal scale and a scoring system. Data analysis was carried out descriptively and using the Spearman Rank correlation statistical test. The results of the study showed that farmers' responses to the partnership system in broiler chicken farming businesses generally included good or positive criteria, and the correlation between several selected characteristics and farmers' responses varied from weak to strong. Two characteristic variables that were strongly correlated with farmers' responses to the partnership system in broiler chicken farming businesses were education level (p <0.01) and partnership motivation (p, 0.05).

The Effectiveness Of Physical Therapy And Rehabilitation Approaches In Low Back Pain On Pain Severity And Disability; A Systematic Review

Low Back Pain encompasses nociceptive pain, neuropathic pain radiating to the legs, and nociplastic pain, often classified as non-specific due to central nervous system exaggeration. Globally, Low Back Pain is a leading cause of activity restriction and loss of productivity, significantly impacting finances. Objective; This study aimed to review the efficacy of physical therapy and rehabilitation approaches for LBP, focusing on pain intensity and disability. Materials and Methods; A literature review was conducted in PubMed and Web of Science databases up to January 30, 2024. English studies were required, using keywords: “low back pain,” “pain intensity,” “pain severity,” “disability,” and “physical therapy.” Pain intensity was measured using the Visual Analog Scale (VAS) and Numeric Rating Scale (NRS), including the 11-point Pain Intensity Numerical Rating Scale (PI-NRS). Disability was assessed using ADL, IADL scales, Roland Morris Disability Questionnaire (RMDQ), and Oswestry Disability Index (ODI). Results; Seven study met the inclusion criteria from 665 initial records. Interventions included osteopathic manipulative treatment (OMT), core muscle exercise with interferential current (IFC), cognitive functional therapy (CFT), dry cupping therapy, high-intensity machine-based core muscle resistance training (C-IPU), heat therapy, TENS, pelvic traction, Reiki, dynamic muscular stabilization technique (DMST), and McGill Big 3 (MB3). Sample sizes ranged from 30 to 1090 participants. IFC combined with core muscle exercises significantly reduced pain intensity compared to each method alone, though not statistically significant (p > 0.05). The C-IPU group had greater pain relief (P 0.05). Dry cupping did not outperform sham cupping. CFT reduced absenteeism in the first two years but not later. Reiki showed significant improvement in pain and ADL compared to drug therapy, but not to physiotherapy. Conclusions; Physical therapy interventions effectively alleviate symptoms and improve outcomes in LBP. However, variability in interventions and outcome measures necessitates cautious interpretation. Further research with standardized protocols is essential to understand the effectiveness and optimal duration of physical therapy for LBP. Keywords; low back pain; pain intensity; pain severity; disability; physical therapy

Environmental Attitudes, Concerns, and Behaviors Across Survey Modes. Assessing Selection and Measurement Biases in ISSP 2020 ‘Push-to-Web’ Surveys

How much does survey mode matter for predicting environmental attitudes and behaviors? It is essential to consider the influence of survey mode on the measurement of variables, particularly given the increasing popularity of web-based data collection following the Covid crisis. In 2020, several ISSP countries adopted a mixed-mode design, combining web and paper surveys for the Environment IV module. While mixed-mode data collection can reduce mode-specific errors, its success depends on accurately estimating and adjusting for selection and measurement differences between the modes. Failing to do so can increase the Total Survey Error, compromising the accuracy and reliability of the data. In this article, we examine selection and measurement differences in the web and paper modes in the Environment IV data from Switzerland and Finland. Register data are used as a benchmark to estimate selection biases in key socio-demographic variables, and we use these estimates to disentangle mode measurement effects from other sources of error. While we find that age, education, and labor market status account for selection effects across modes, we do not find significant differences in the measurement of environmental attitudes and behaviors across modes once the selection effect is controlled for. Mixing online and paper modes should thus not compromise data quality by introducing measurement biases for environmental variables.

Semantic feature salience matters: new values of significance and relative weight for the Spanish feature norms for young and older adults

Abstract To determine the semantic importance of certain features has been a topic of interest for many semantic memory models. Diverse measures have been proposed in the last years. Semantic significance, the latest measure proposed by Montefinese and colleagues, is both sophisticated and comprehensive. Given the cultural and linguistic variability of semantic measures, this study presents values of significance and relative weight for the Spanish-speaking population corresponding to 400 concrete concepts. First, we presented data for both young and older adults. Second, we assessed the effect of significance on response times in two speeded feature verification tasks. Third, we compared significance values with the existing Italian significance norms. To evaluate the effect of significance to predict response times, two speeded verification tasks (Experiment 1 and 2) were carried out, selecting a total of a 130 concepts for analysis. In Experiment 1, subjects were presented with a feature followed by a concept, while in Experiment 2, the order of stimulus presentation was reversed (i.e., the concept was presented before the feature). An independent linear mixed model showed that significance was a good predictor of response latencies in Experiments 1 and 2. Moreover, results revealed a strong positive correlation between the Spanish and Italian significance values. Findings are discussed in terms of recent theories of semantic cognition.

Predictors of Desertion: Analysis of the First Michigan Colored Infantry in the American Civil War

AbstractOver 180,000 black soldiers served in the Union Army in the American Civil War. They endured horrific deprivation and disease, and also substantial institutional discrimination in such areas as wage and promotion. Nevertheless, most never deserted their duties as soldiers. However, it is not clear what distinguished those who did desert from their counterparts. The present case‐control study fills this gap. It applies social bonds theory to explain desertion among blacks. The general hypothesis is the greater the bonds or stakes to the military unit, the lower the risk of desertion. Data refer to the First Michigan Colored Infantry (First Michigan) and are from the Bentley Historical Library, University of Michigan. They refer to the population of all 189 deserters in the First Michigan and a comparison group of non‐deserters. Available measures of social bonds include substitute status (substitutes received a bounty upon completion of service), receiving a wound (having “skin in the game”), and noncommissioned officer status. In addition, loyalty to family is framed as a risk factor. The dependent variable is desertion, a dichotomy (0,1). Results are adjusted for other measurable variables. A multivariate logistic regression analysis determined that measures of military social bonds were protective factors against desertion. Substitutes were 73% less apt, wounded soldiers 93% less apt, and noncommissioned officers were 79% less apt to desert than their counterparts. However, family bonds were a risk factor. The model correctly classified 77.95% of the cases. The results largely support a social bonds theory of deviance, but also may support views of the conflicting bonds between family and state as increasing desertion. The investigation is the first quantitative study of desertion among blacks in the Civil War.

Testing the effects of personalized recommendation service, filter bubble and big data attitude on continued use of TikTok

PurposeThis study attempts to identify the determinant factors for Chinese users’ intention of continuous use of TikTok.Design/methodology/approachDrawing on the theoretical background and previous literature, this study proposes the research model followed by research hypotheses. For the purpose of empirical analysis of this study, we conducted a questionnaire survey on current Chinese TikTok platform users. Factor analysis was conducted to verify the reliability and validity of the measurement variables; Confirmatory factor analysis was conducted to ensure that the structural dimensions of the measurement are effective; the analysis results of the structural equation model for hypothesis test.FindingsThe result of the study indicates that the core service traits (entertainment, informativeness and convenience of use) of TikTok all have a positive effect on user engagement and perceived usefulness. In addition, the study found that both personalized recommendation services and filter bubble, which are features of TikTok's service recommendation system, have a positive effect on user engagement and perceived usefulness of TikTok. In addition, it was found that both user engagement and perceived usefulness have a significant positive effect on continuous use intention. Finally, users’ attitude toward big data indicating privacy concern only had a positive moderating effect on the personalized recommendation service but not on filter bubble.Originality/valueAs consumers’ demand for services tailored to their needs and preferences fast increased, it calls for growing concern over the safety of personal data being used by the platforms. Although this paradox over increased user convenience versus privacy protection issue has been persistently recognized, no previous research empirically addressed this issue in the context of social media platforms.

Rehabilitation Interventions for Adults With Complex Regional Pain Syndrome: A Scoping Review Protocol.

This scoping review will explore the literature related to rehabilitation interventions for the treatment of adults living with complex regional pain syndrome (CRPS), describe the domains and outcome measures used to assess their effectiveness, and examine the neurophysiological bases of these interventions. The unremitting symptoms of CRPS, a chronic pain condition, are associated with long-term disability, poor psychological health, decreased emotional and social well-being, and reduced quality of life. Effective treatment for persistent symptoms is notoriously difficult. Therapeutic approaches such as graded motor imagery or pain exposure therapy are recommended for CRPS but show mixed results, insufficient effectiveness, variability in outcome measures, and unclear neurophysiological bases. This review will consider studies that include any form of non-invasive rehabilitation intervention delivered by a healthcare professional in any setting for adults with a CRPSdiagnosis. Quantitative, qualitative and observational studies, text and opinion papers will be considered. The Joanna Briggs Institute (JBI)methodology will be used to conduct this scoping review. MEDLINE, Embase, Scopus, APA PsycINFO, CINAHL, Cochrane, OpenGrey Google and ProQuest Dissertations and Theses Global (ProQuest) will be searched for studies in English published between 2007 and 2024. Two independent reviewers will screen the titles, abstracts, and full texts of the selected studies. Data collection will be performed using a tool developed by the researchers based on the standardised JBI tool. Data will be presented in a comprehensive narrative summary. https://doi.org/10.17605/OSF.IO/P967T.

Leveraging explainable machine learning for enhanced management of lake water quality

Freshwater lakes worldwide suffer from eutrophication caused by excessive nutrient loads, particularly nitrogen (N) and phosphorus (P) from wastewater and runoff, affecting aquatic life and public health. Using a large (1800 km2) subtropical lake as an example (Lake Okeechobee, Florida, USA), this study aims to (1) predict key water quality parameters using machine learning (ML) algorithms based on easily measurable variables, (2) identify spatial patterns of these parameters, and (3) determine environmental drivers influencing turbidity levels. The study employs four ML algorithms—Extreme Gradient Boosting (XGB), Light Gradient-Boosting Machine (LGBM), Support Vector Regression (SVR), and Random Forests (RFs)—to predict total phosphorus (TP), total nitrogen (TN), nitrate + nitrite (NOx-N), and turbidity, via station-specific and lake-wide modeling approaches. The station-specific models uncover spatial patterns, while the lake-wide models support operational decision-making. Results indicated that lake stage (water level), water temperature, and, most notably, turbidity were the main nutrient predictors, with XGB demonstrating superior prediction performance. Spatial analysis using K-means clustering identified three distinct lake regions based on nutrient levels and turbidity. Due to its importance, SHapley Additive exPlanations (SHAP) were employed to identify and quantify environmental factors affecting turbidity. Inflows and lake stage were found as primary drivers of turbidity near lake inlets, while wind speed and air temperature affected turbidity in the middle of the lake. This research advances the understanding of lake water quality dynamics, emphasizing the importance of frequent monitoring of turbidity and its environmental drivers for enhanced management and future mitigation efforts.

Health locus of control, perceived health competence, and satisfaction of patients with rheumatological conditions versus periodic health examination patients

ABSTRACT Important health management goals include building patient loyalty, predicting patient behavior and adherence, and understanding treatment outcomes. This study focused on health locus of control (HLC), perceived health competence, and satisfaction with care in an outpatient sample by comparing chronic care patients and periodic health examination (PHE) patients in the same clinic. The study sample consisted of 146 adult patients from a rheumatology outpatient clinic. Participants responded to validated measures of psychosocial variables and answered a sociodemographic and health status information form. The findings showed that while both patient groups were similarly satisfied with care, chronic care patients perceived lower levels of health competence and internal HLC and higher levels of chance HLC than PHE patients. Satisfaction with care was negatively associated with chance HLC in the chronic care group, while health competence was negatively associated with chance HLC in the PHE group. The findings of the current study suggest that although chronic care patients were satisfied with care, they had stronger chance beliefs and weaker beliefs about internal factors. Hence, for better management of rheumatological conditions, it is important to focus on improving patients’ coping skills through effective health education strategies.

First use of Chironomid Pupal Exuvial Technique in freshwater biomonitoring in Cameroon: Ecological aspect and morphological description of Chironomidae (Insecta: Diptera)

The biodiversity of urban streams is gradually degrading as a result of anthropogenic pollution. In this study, chironomid pupal exuviae were used as surrogates to assess urban streams and a lake in Douala Cameroon. We compared these assessments with samples collected from a suburban forest stream. Based on their highly adaptive capability, we predicted that chironomid communities would present high diversity and abundance in urban habitats. Chironomid pupal exuviae were collected using the chironomid pupal exuvial technique in 14 urban and 2 forest reference stations during dry and rainy seasons. Measurements of the environmental variables were done simultaneously. Physicochemical analysis revealed that all urban sites have had very poor ecological health status whereas forest site had good water quality as shown by the hierarchical cluster analysis. This ecological survey identified 8 species/morphotypes of chironomids all belonging to the subfamily Chironominae, tribe Chironomini. These are Chironomus holomelas(?), Chironomus sp.1, Chironomus sp.2, Chironomus sp.3, Chironomus (Lobochironomus) sp., Stenochironomus sp., Dicrotendipes sp. and Dicrotendipes pulsus. No midge pupal exuviae were recorded at the forest stations (S1 & S2) and the stations S6 and S7 located downstream industrial mill effluents. The species richness of the study sites was significantly very low as compare to other Afrotropical studies. Canonical redundancy analysis revealed that high values of water temperature, ammonium, nitrates and phosphates, and low oxygen concentration were significant predictors of the distribution and high abundance of Chironomidae. This survey highlighted the impacts of anthropogenic activities on chironomid diversity and distribution, with great decrease of their diversity due to industrial pollution.

Rhytidectomy Incision Techniques and Scar Outcomes: A Scoping Review.

Although scar outcomes in rhytidectomy are crucial to patients and surgeons alike, there is a lack of consensus on incision techniques for optimizing rhytidectomy scars. A comprehensive scoping review of the literature was performed on rhytidectomy incision techniques and associated scar outcomes.The PRISMA protocol was utilized to conduct a scoping review of the literature through MEDLINE, EMBASE, and Science Citation Index databases to identify articles discussing rhytidectomy incision techniques and scar outcomes.A total of 49 studies were included in this scoping review. Four themes were identified related to rhytidectomy scars within these studies: temporal incision placement, tragal incision placement, lobule management, and postauricular incision design. Techniques within each theme were described and reported scar outcomes summarized.There are many approaches to rhytidectomy incisions described in the literature, with reportedly low rates of scar complications for each of the techniques described. It cannot be elucidated which techniques are superior due to the heterogeneity of outcomes reported in the literature with significant variability in outcome measures, study design, and follow-up time. Future studies should focus on utilizing a standardized rating system to aid in objective determination of the superiority of one technique versus another. LEVEL OF EVIDENCE:: Level I.

Heart Rate Variability, Blood Pressure and Peripheral Oxygen Saturation during Yoga Adham and Mahat Breathing Techniques without Retention in Adult Practitioners.

Background: Heart rate variability (HRV) is the change in time intervals between heart beats, reflecting the autonomic nervous system's ability to adapt to psychological and physiological demands. Slow breathing enhances parasympathetic activity, increasing HRV. Pranayama, a yoga breathing technique, affords the conscious regulation of respiration frequency. This study aimed to characterize HRV, blood pressure and peripheral oxygen saturation of basic yoga breathing slow techniques with regular yoga practitioners. Methods: In total, 45 yoga practitioners were included in the study (including 7 males, mean age of 54.04 ± 11.97 years) with varying levels of yoga experience (minimum 3 months, maximum 37 years). Participants performed three breathing conditions: baseline (control) and two yoga techniques (abdominal (adham) and complete (mahat)) breathing, each for 10 min in the supine position (i.e., savasana). For each condition, respiratory frequency, heart rate (HR), blood pressure and peripheral oxygen levels were collected. Results: The findings revealed that both abdominal and complete yoga breathing techniques promoted a decrease in respiratory frequency (p < 0.001, r = 0.61; p < 0.001, r = 0.61, respectively), and an increase in peripheral oxygen saturation (p < 0.001, r = 0.50; p < 0.001, r = 0.46, respectively), along with blood pressure decreases in all mean values, and a significant decrease in systolic pressure, considering all conditions (p = 0.034, W = 0.08). There were significant increases in standard deviation of HR during abdominal and complete yoga breathing techniques compared with the baseline (p = 0.003, r = 0.31; p < 0.001, r = 0.47, respectively), indicating enhanced parasympathetic activity. Moreover, the complete breathing technique exhibited the greatest variability in HRV measures, with several significant differences compared with abdominal breathing (standard deviation of HR, p < 0.001, r = 0.42; SD2, standard deviation of points perpendicular to the Poincaré parallel line, p < 0.003, r = 0.31; SD1/SD2, p < 0.003, r = 0.31), suggesting a more profound impact on autonomic modulation. Conclusions: simple, inexpensive and non-intrusive abdominal and complete yoga breathing techniques can effectively and momentarily enhance HRV and oxygen saturation in adults, mature adults and the elderly.

Measuring, interpreting and monitoring economic efficiency in South Australia’s Spencer Gulf and West Coast Prawn Fisheries

Fishers and fishing vessels are not homogeneous, with their level of catch affected by the choice of physical inputs such as engine size, boat size and the type of fishing technology employed, as well as less tangible factors such as skipper skill and experience. Economic output also vitally depends upon the value of the product in the market and the cost of inputs. These differences in the ability of individual fishers to catch fish, and create economic returns, can be assessed through the application of efficiency analysis. This paper provides an empirical examination of efficiency indicators in the South Australian Spencer Gulf and West Coast Prawn Fisheries. Applying data envelopment analysis (DEA) to a unique vessel-level dataset that includes both quantity and value information, we estimate measures of efficiency in these input-controlled fisheries where effort decisions are made in real-time using a participative management approach. We find that quantity and value-based efficiency measures are relatively high but that the variability of value-based measures is increasing. This increasing heterogeneity in value, despite the homogeneity in quantities, has potential implications for pressures on cooperative management going forwards as fishers pursue different business strategies. Comparing the measures of efficiency to direct measures of individual profit, we find a divergence: technical and cost measures of efficiency are more strongly positively related to short-run economic performance while revenue-efficiency is more strongly positively correlated with long-run economic performance, suggesting that different efficiency metrics may be required for short- and long-run monitoring.

Evaluating anchorage and torque control in adolescent patients with Class II Division 1 malocclusion among 3 appliances

The objective of this study was to compare the differences in anchorage and torque control among the Tweed edgewise, Roth, and physiological anchorage Spee-wire systems (PASS) appliances (Zhejiang Xinya Technology Co, Ltd, Hangzhou, China). A sample of 90 adolescent patients with Angle Class II Division 1 malocclusion (30 Tweed edgewise appliances, 30 Roth appliances, and 30 PASS appliances) with maximum anchorage requirements in the maxilla were collected for this study. The pretreatment baseline levels of the 3 groups were compared initially, and then the differences between the 3 appliances in anchorage and torque control were analyzed after superimposing the pretreatment and posttreatment lateral cephalograms and maxillary 3-dimensional (3D) digital models, respectively. There was no statistical difference in the pretreatment baseline levels of 3 groups, including gender, age, sagittal skeletal types (ANB), vertical skeletal types (SN-GoGn), anchorage requirements, and occlusal plane inclination (SN-OP). After superimposing the pretreatment and posttreatment lateral cephalograms and 3D digital models, respectively, no statistical differences were observed between the measurement results obtained from lateral cephalograms and 3D digital models. Among the measurement variables assessed in this study, statistical differences were observed in the mesial displacement of maxillary first molars, the incisor retraction, and the torque variation of maxillary central incisors among the 3 groups. Specifically, the Tweed group exhibited lower mesial displacement of maxillary first molars compared with the PASS and Roth groups. Furthermore, the Tweed group exhibited the greatest amount of incisor retraction and torque variation of maxillary central incisors, followed by the Roth group and then the PASS group. The remaining measurement variables for the 3 groups showed no statistical differences, including vertical variation of maxillary first molars and central incisors, torque variation of maxillary first molars and canines, mesiodistal inclination variation of maxillary first molars and canines, width variation between maxillary first molars, and width variation between maxillary canines. Compared with contemporary preadjusted straight wire appliances, the Tweed edgewise appliance has superiority in molar anchorage control. In contrast, compared with the Roth appliances, the PASS appliances without any auxiliary anchorage devices could make full use of physiological anchorage to achieve adequate control of molar anchorage. Clinical orthodontists may need to pay extra attention to physiological anchorage. The difference in torque control varies depending on the respective characteristics of bracket designs.

Decoding the impact of firm‐level ESG performance on financial disclosure quality

AbstractThis study examines the impact of environmental, social, and governance (ESG) performance on financial disclosure quality as measured by disaggregated financial statements (FSDQ), using data from US‐listed companies between 2002 and 2021. We find a positive association between ESG performance and FSDQ quality, suggesting that improved ESG performance is linked to enhanced disclosure quality and accountability and that managerial competence and strong organizational culture accentuate this relationship. Further analysis shows a stronger link between firms with high‐quality accounting practices and good financial reporting readability, whereas complex financial reporting weakens this relationship. Our findings remain valid when alternative measures of key variables are used, and under propensity score analysis, Heckman's two‐stage estimation, and cross‐lagged and entropy balancing techniques, ensuring the analysis is robust and reliable. Overall, our findings provide important new insights into ESG performance, suggesting it fosters enhanced disclosure and accountability to stakeholders.

The Role of Intention, Behavioral Regulation, and Physical Activity Behavior in the Prediction of Physical Activity Identity across Time.

Physical activity identity represents an important determinant of sustained physical activity behavior. The purpose of this investigation was to examine whether intention, behavioral regulation, and moderate-to-vigorous physical activity (MVPA) behavior explain significant variation in physical activity identity across time. Using a repeated measures observational design, lower-active adults new or returning to physical activity participation (N = 66) completed measures of study variables every three weeks over the course of a nine-week period (four assessments total). Based on the results of mixed-effects regression modelling, there was a small, non-significant increase in physical activity identity across time (b = 0.07, p = 0.13). Intention, MVPA, and behavioral regulation mostly had significant (ps < 0.05) bivariate correlations with physical activity identity at the same time point of assessment. Behavioral regulation explained significant variation in physical activity identity across time (b = 0.26, p < 0.0001), but intention and MVPA were non-significant (ps > 0.05) after including a random intercept and controlling for behavioral regulation. Identity was resistant to change among new physical activity initiates in this study and longer time frames of assessment are needed (e.g., six months). Behavioral regulation should be examined as a determinant of physical activity identity in future investigations.

Multivariate analysis on students' cognitive assessment, attitude, and skill evaluation in problem-based learning

To improve the quality of education, the Ministry of Education and Culture of the Republic of Indonesia designed the "Merdeka" curriculum. With this curriculum, there are three learning outcomes, namely cognitive (knowledge), affective (character or attitude), and psychomotor (skills) domains. The learning that can be applied to the "MERDEKA" curriculum is the problem-based learning model. The significance of a variable in the learning process is very important to research to evaluate the learning process, especially in problem-based learning. Thus, the research objective of this study is to provide evidence of the significance of students’ cognitive assessment, attitude, and skill evaluation in mathematics learning. This study is a quantitative research using two-way multivariable analysis of variance (MANOVA), to determine the significance of cognitive assessment (assessment of learning outcomes), character or attitude, and skills evaluation in three classes of VIII students using problem-based learning (PBL). A two-way MANOVA analysis was carried out with students' class and gender factors, using measurement variables: cognitive assessment, attitude, and skill evaluation. From the results of the analysis, it was found that problem-based learning can be applied to Mathematics classes because, with this learning, both male and female students, the student's cognitive assessment is equally good in the significance level 5%. The differences in attitude and skill evaluation occurred because of the uniqueness of male and female students.