Statistical Hypothesis Research Articles

Identifying noise transients in gravitational-wave data arising from nonlinear couplings

Abstract Noise in various interferometer systems can sometimes couple non-linearly to create excess noise in the gravitational wave (GW) strain data. Third-order statistics, such as bicoherence and biphase, can identify these couplings and help discriminate those occurrences from astrophysical GW signals. However, the conventional analysis can yield large bicoherence values even when no phase-coupling is present, thereby, resulting in false identifications. Introducing artificial phase randomization in computing the bicoherence reduces such occurrences with negligible impact on its effectiveness for detecting true phase-coupled disturbances. We demonstrate this property with simulated disturbances – focusing only on short-duration ones (lasting up to a few seconds) in this work. Statistical hypothesis testing is used for distinguishing phase-coupled disturbances from non-phase coupled ones when employing the phase-randomized bicoherence. We also obtain an expression for the bicoherence value that minimizes the sum of the probabilities of false positives and false negatives. This can be chosen as a threshold for shortlisting bicoherence triggers for further scrutiny for the presence of non-linear coupling. Finally, the utility of the phase-randomized bicoherence analysis in GW time-series data is demonstrated for the following three scenarios: (1) Finding third-order statistical similarities within categories of noise transients, such as blips and koi fish. If these non-Gaussian noise transients, or glitches, have a common source, their bicoherence maps can have similarities arising from common bifrequencies related to that source. (2) Differentiating linear or non-linear phase-coupled glitches from compact binary coalescence signals through their bicoherence maps. This is explained with a simulated signal. (3) Identifying repeated bifrequencies in the second and third observation runs (i.e., O2 and O3) of LIGO and Virgo.

Statistical fractal analysis in testing the Hypotheses with imprecise data

A new statistical hypothesis testing procedure using fractal analysis, incorporating the concept of lacunarity for interval population parameters when the sample data are real intervals, is introduced. The decision rules for accepting or rejecting the null and alternative hypotheses are provided, along with testing procedures and numerical examples. Additionally, the proposed tests are extended to statistical hypotheses involving fuzzy data samples with lacunarity.

Performance evaluation of cefoxitin screen test on two different automated antimicrobial susceptibility test systems: a comparative study.

Reliable detection of mecA and mecC-mediated beta-lactam resistance using automated antimicrobial susceptibility test systems is critical for patient care. The aim of this study was to compare the performance of the new cefoxitin screen test (oxsf02n) on the Vitek 2 card (Vitek 2) and BD Phoenix PMC-100 Gram-Positive AST Panel (Phoenix) against the reference method for the detection of mecA (and mecC)-mediated beta-lactam resistance. Two hundred fifty clinical fresh and stock Staphylococcus spp. isolates were included. There were 120 mecA-positive, 10 mecC-positive, and 120 mecA and mecC-negative isolates. Cefoxitin screen and oxacillin tests were performed on Vitek 2 and Phoenix and by their respective reference methods (disk diffusion for the cefoxitin screen test and broth microdilution for oxacillin) for all isolates. PCR testing was also performed to confirm the presence of mecA and/or mecC genes. Results from each system were compared to the reference methods. Statistical hypotheses were evaluated both for Vitek 2 compared to the reference methods and Vitek 2 compared to the Phoenix. Compared to the reference method, the Vitek 2 cefoxitin screen test had 100% sensitivity/98% specificity and the Phoenix cefoxitin screen test had 84% sensitivity/100% specificity for the detection of mecA (and mecC)-mediated beta-lactam resistance. When the oxacillin test was combined with the cefoxitin screen for Vitek 2, the sensitivity and specificity were unchanged. However, when the oxacillin and cefoxitin screen tests were combined for the Phoenix, the sensitivity increased to 100% and the specificity remained unchanged (100%). When considering cefoxitin alone, the Vitek 2 screen test showed a higher sensitivity than the Phoenix for the detection of mecA and mecC-mediated beta-lactam resistance. However, currently, both systems use a combination of the cefoxitin and oxacillin tests to interpret the final result, and both reached a high level of performance when cefoxitin and oxacillin results were combined.IMPORTANCEThis research marks the inaugural evaluation of the revamped cefoxitin screen test version in Vitek 2, juxtaposing it against reference methods and a primary competitor BD Phoenix.

An Evaluation Readiness to be Semi-Autonomous Hospital of Luang Prabang Provincial Hospital

The purpose of the research is: 1) To evaluate the readiness of being semi-autonomous hospital of Luang Prabang Provincial Hospital. 2) To study the comparative analysis of the evaluation readiness of the semi-autonomous hospital of Luang Prabang Provincial Hospital. The sample group in the study was the director and medical staff of the Luang Prabang Provincial Hospital. In the actual data collection, a total of 70 people were returned, and the statistical program was used to analyze the data. Standard deviation and inferential statistics (independent-simples T-test and one-way ANOVA) hypothesis testing. The study found that the majority of respondents were female, aged 31–40, married, bachelor's degree holders, with 16 years of work experience, and had never attended a semi-autonomous hospital transformation meeting. The research results found that: the evaluation readiness to be Semi-Autonomous hospital of Luang Prabang Provincial Hospital as a whole has a level of readiness at a very high level = 3.88, SD = 0.89 which is the average value rating from large to small financial self-support has a level of readiness at a very high level = 3.99, SD = 0.95; followed by operational self-reliance with a high degree of readiness = 3.95, SD = 0.89; Administrative management self-esteem has a high readiness level = 3.84, SD = 1.01 and personal self-confidence has a high readiness level = 3.76, SD = 0.97. The results of the comparison by distinguishing by individual factors found that age, work experience, and participation in training in semi-autonomous hospitals have differences in evaluating readiness to transform Luang Prabang Hospital into a semi-autonomous hospital with statistical significance. 0.05. For other individual factors, there is no difference.

Genetics Navigator: protocol for a mixed methods randomized controlled trial evaluating a digital platform to deliver genomic services in Canadian pediatric and adult populations

IntroductionGenetic testing is used across medical disciplines leading to unprecedented demand for genetic services. This has resulted in excessive waitlists and unsustainable pressure on the standard model of genetic healthcare....

Enterprise Resource Planning Implementation: Challenges and Barriers

The goal of this study is to ascertain how Enterprise Resource Planning (ERP) adoption software is affected in small and medium-sized businesses in Jordan by the problems and barriers represented by (low knowledge of ERP, misperception, lack of resources, financial worries, and employee resistance). The following titles of employees in Jordanian small and medium-sized businesses' departments of information technology made up the study population: (Department Manager, Assistant Department Manager, Head of Department, and Software Officer). To accomplish the goals of the study, the investigator employed a basic random sample of the study population, wherein (160) questionnaires were distributed and (152) were retrieved. The descriptiveanalytic approach was employed in conjunction with various statistical techniques, the most notable of which was the "T" test for one sample (One SampleT–test), and the statistical package program was utilized for statistical analysis and testing of hypotheses. Use SPSS. The study's conclusions include the existence of a statistically significant relationship between Jordanian SMEs' software implementation and their lack of resources, financial concerns, and inadequate ERP understanding. On the other hand, misperception and employee resistance had no statistically significant effect on the implementation of software in Jordanian SMEs. In light of this, the study made several recommendations, the most significant of which is the establishment of an independent committee of senior management experts in information systems and information technology to monitor a variety of data regarding the readiness and effectiveness of the software. As well as involving the user in the ERP implementation from the beginning, because operations management may clearly and effectively benefit from the end-user's assistance in formulating operations that accurately and firmly fulfil daily work needs

Models and methods for RZ-signals distinction in non-Gaussian noise for information-measurement systems

Abstract Polynomial Decision Rules (DR) for the problems of discrete RZ (Return-to-Zero) signal distinction in asymmetric-excess non-Gaussian noise are proposed. A new approach is proposed, which is based on the use of a modified moment quality criterion of statistical hypothesis testing and the application of higher-order statistics to describe the characteristics of non-Gaussian noise. Simulation of the DR with different parameters of the signal and noise was carried out. It is shown that taking into account the coefficients of skewness and kurtosis of the non-Gaussian noise the efficiency of signal distinction increases with non-linear processing DR compared to known results, which are optimal for the Gaussian noise model. The conducted studies demonstrate a reduction in false decisions in the processing of RZ signals when considering the coefficients of skewness and kurtosis of non-Gaussian noise. Such an increase in efficiency can exceed twofold, depending on the noise parameters. It is shown that the efficiency of the proposed approach is much higher for small SNR (Signal-to-Noise Ratio) values, for example, less than 1.

Framework for multivariate carbon price forecasting: A novel hybrid model

The complex characteristics of volatility and non-linearity of carbon price pose a serious challenge to accurately predict carbon price. Therefore, this study proposes a new hybrid model for multivariate carbon price forecasting, including feature selection, deep learning, intelligent optimization algorithms, model combination and evaluation indicators. First, this study collects and organizes the historical carbon price series of Hubei and Shanghai as well as the influencing factors in five dimensions including structured and unstructured data, totaling twenty variables. Second, data dimensionality reduction is performed and input variables are obtained using the least absolute shrinkage and selection operator, followed by the introduction of nine advanced deep learning models to predict carbon price and compare the prediction effects. Then, through the combination of models, three models with the best performance are combined with Pelican optimization algorithm to construct a hybrid forecasting model. Finally, the experimental results show that the developed forecasting model outperforms other comparation models in terms of prediction accuracy, stability and statistical hypothesis testing, and exhibits excellent prediction performance. Furthermore, this study also applies the developed model to European carbon market price prediction and uses the Hubei carbon market as an example for quantitative trading simulation, and the empirical results further verify its robust prediction performance and investment application value. In conclusion, the proposed hybrid prediction model can not only provide high-precision carbon market price prediction for the government and corporate decision makers, but also help investors optimize their trading strategies and improve their returns.

Sociodemographic Factors and Students’ Attitudes towards Integrated Instruction

The primary objective of the study was to ascertain the attitudes of final-year students in undergraduate academic and master’s academic studies at the University of Nis Faculty of Sport and Physical Education and the University of Pristina - Kosovska Mitrovica Teacher Education Faculty in Prizren - Leposavic toward the possibilities of integrating the learning contents of the subjects Serbian Language and Physical Education. The study aims to investigate views about integrated instruction and the incorporation of Serbian Language and Physical Education in the integrative curriculum based on several demographic criteria such as gender, age, faculty major, overall grade point average, and socioeconomic status. The research was conducted on a sample of 179 students. Descriptive techniques were used to determine the level of expression of basic variables, while a Linear Regression Model was employed for statistical inference testing of established hypothesis. The results obtained indicate a statistically significant correlation between attitudes towards integrated instruction and the incorporation of the Serbian Language in the integrative curriculum in relation to sociodemographic characteristics (Hypothesis 1 and 2). However, no statistically significant associations were found for attitudes towards the incorporation of Physical Education in the integrative curriculum concerning sociodemographic variables (Hypothesis 3).

THE RELATIONSHIP BETWEEN SOCIAL ATTITUDE AND ETHICS OF ASSOCIATION WITH THE MORALS OF PHYSICS EDUCATION STUDENTS

This study aims to describe how social attitudes, ethics of socializing, and noble morals, and whether there is a significant relationship between social attitudes and ethics of socializing with noble morals of physics education students. This study is a quantitative descriptive study. The sample of this study was 88 physics education students. The data analysis techniques used were descriptive statistics and inferential statistics for hypothesis testing. Based on the results of the study and descriptive analysis, the average score of social attitudes was 60.23 and the average score of social ethics was 65.26, each score was in the sufficient category, where seen from the most dominant assessment indicators, attitudes can be learned, and attitudes can change with an average value of 289.25, for social ethics, the most dominant assessment indicator was understanding and applying ethics with an average value of 297.75, and the average score of morals of physics education students was 65.67 which was also in the sufficient category, where seen from the most dominant assessment indicators, it was education with an average value of 317. The results of the inferential analysis showed that the Fcount value was 2624.45 while the Ftable at a significance level of 5% was 3.13. Thus, the Fcount value is much greater than the Ftable value, meaning that there is a significant relationship between social attitudes and social ethics with the morals of physics education students.

Implementation of Digital Transformation and Government Enterprise Architecture in Improving the Performance of Integrated Social Services

This study addresses the subject matter of declining public confidence in local governments in Indonesia, primarily due to issues in public service delivery, highlighting the urgent need for improved integrated social services. The objective is to analyze the mediating effect of enterprise architecture orientation on the influence of environmental turbulence, flexibility strategy, business model innovation, and digital transformation on social service performance in West Java. Methods involved a survey explanatory approach with all 27 social service providers in West Java Province, employing whole population sampling. Data were analyzed using descriptive statistical analysis and hypothesis testing using Partial Least Square Structural Equation Modeling (PLS-SEM). Results indicate that environmental turbulence, flexibility strategy, business model innovation, and digital transformation significantly impact social service performance when mediated by enterprise architecture orientation. The conclusions suggest that a robust model emphasizing strategic architectural orientation and effective implementation of flexibility, innovation, and digital transformation can enhance social service performance amidst environmental challenges. This study contributes to understanding the complex dynamics of social service provision in local governments, advocating for strategic investments in enterprise architecture and adaptive strategies to improve public service delivery and restore public trust.

Incidence of Intra-abdominal Adhesions Following Intraperitoneal Injection of Hemostatic Products in Rabbits.

Definitive management of non-compressible intra-abdominal hemorrhage (NCIAH) currently requires a surgeon and operating room capable of performing damage control surgery. In a wartime scenario or a geographically remote environment, these may not be readily available. In this study, we sought to test the safety of 2 emerging injectable hemostatic agents (CounterFlow and Fast Onset Abdominal Management, or FOAM, poloxamer component) versus normal saline control over a prolonged monitoring duration following administration by a non-surgical provider. The Institutional Animal Care and Use Committee approved all research conducted in this study. We randomized male New Zealand white rabbits into 2 monitoring cohorts of 24 hours and 2 weeks. Each cohort contained 3 treatment groups (n = 4 rabbits/group): CounterFlow, the testable poloxamer component of FOAM, and normal saline control. We injected each treatment intraperitoneally in the left lower abdominal quadrant. Doses were 15 mL/kg for CounterFlow, 6.3 mL/kg for the poloxamer component of FOAM, and 15 mL/kg for normal saline. We conducted all injections under isoflurane anesthesia monitored by trained veterinary staff. Animals were euthanized at each cohort end point, and a veterinary pathologist blinded to treatment type performed necropsy. The primary outcome was incidence of intra-abdominal adhesions at necropsy. Quantitatively, adhesions when present were graded by the veterinary pathologist on a 1 to 4 scale, where "1" represented adhesions involving from 1 to 25% of the examined abdomen, "2" represented from 26 to 50%, "3" represented from 51 to 75%, and "4" represented from 76 to 100%. Qualitatively, adhesions present were graded by degree ("1" = minimal, "2" = mild, "3" = moderate, and "4" = severe) and chronicity ("1" = acute, "2" = subacute, and "3" = chronic). We also drew d-dimer blood values and measured body weights for each animal. Statistical analysis included either repeated measures 2-way ANOVA or a mixed-effects model (in the case of missing data) with Geisser-Greenhouse correction. We adjusted multiple comparisons using Tukey statistical hypothesis tests. In the 2-week cohort, 3 CounterFlow animals showed adhesions judged to be "1" quantitatively. Qualitatively, 2 of these were assessed as "1" for degree of adhesions and the other demonstrated a "2." On the chronicity of adhesions scale, 1 animal demonstrated a "2" and 2 demonstrated a "3." No animals in other groups (FOAM and control) demonstrated adhesions. CounterFlow-treated animals showed a statistically significant rise in d-dimer values in the 24-hour cohort only. In the 2-week cohort, CounterFlow-treated animals showed a decrease in body weight at 24 hours after injection but returned to their baseline (normal) body weights at 7 days. Findings from this study demonstrate that the tested ingredients of FOAM poloxamer component are safe for intraperitoneal injection and hold potential for further study directed toward prehospital non-compressible intra-abdominal hemorrhage management by non-surgical providers. Although CounterFlow produced abdominal adhesions in 3 of 4 rabbits in the 2-week cohort, these were determined to be "minimal" or "mild" in degree.

Pengaruh Latihan Tactical Attacking Options for Three Players terhadap Menyerang Tim Futsal Putra UNJ

This study aims to determine the effect of tactical training on attacking options for three players on the men's futsal team at UNJ. The research method used in this study is a quasi-experimental research design employing a one-group pretest and posttest design. Data collection was conducted at the Achievement Sports Club Futsal FIK UNJ. The population of this study consisted of 80 active members of the Achievement Sports Club Futsal FIK UNJ. The sample selected for this study comprised 17 athletes using proportional sampling technique. The research instrument used in this study employed assessment criteria. Data processing techniques included descriptive statistical analysis and hypothesis testing, showing a calculated t-value. The calculated t-value of 5,49 exceeds the critical t-value of 2.16 at a significance level of α = 0.05. Therefore, it can be concluded that there is a significant effect of tactical training on attacking options for three players on the men's futsal team at UNJ.

Improving the experience of machine learning in compressive strength prediction of industrial concrete considering mixing proportions, engineered ratios and atmospheric features

In previous literature on predicting compressive strength (CS) using machine learning (ML), the focus has primarily been on algorithm-specific improvements, with less emphasis on improving the data perspective of CS prediction. Departing from these conventional investigations, this study presents data-centric enhancements. A systematic and comprehensive methodology is adopted, involving series of steps. Firstly, a large dataset (> 24,214 datapoints) comprising 26 input features relating to mixture proportions, engineered ratios and atmospheric parameters is prepared and processed. Feature engineering is then performed for selection and processing of data features. Subsequently, six scenarios are designed and investigated for CS prediction, focusing on distinct combinations of input features. Finally, CS predictions for all six scenarios are compared using five well-known ML model, and results are validated using statistical hypothesis testing. The results show significance improvements in CS prediction, with a 12.8 % increase in coefficient of determination (R2) and a 61 % reduction in root mean square error (RMSE) achieved by incorporating engineered and atmospheric parameters in conjunction with mixture proportion as inputs in CS prediction. Based on CS prediction in six scenarios, the study presents useful discussions focusing on concrete data perspective, role of engineering ratio and atmospheric features, and interaction and influence of input features in CS prediction. In conclusion, this work emphasizes the importance of enhancing data management practices for concrete performance assessment to have a more efficient, realistic, and sustainable outcomes in the concrete industry.

Food deconsumption as part of a sustainable lifestyle: A study of Polish deconsumers

Deconsumption, defined as a wide spectrum of voluntary activities aimed at reducing consumption levels, is a multidimensional and multidisciplinary phenomenon, which concerns the reduction of goods and resources purchased, consumed, and used by consumers. The phenomenon could be manifested in a partial resignation from the purchase of products or possession of goods, reducing the consumption of resources or changing the current way of meeting needs. Deconsumption has numerous links with the concept of sustainable development, a trend that has gained importance in recent years as a response to excessive and unsustainable consumption and production. The purpose of this article is to examine and characterize the importance and interactions between food deconsumption — its forms (such as limiting consumption levels, eliminating food categories, etc.) and subjects (different food categories) — and the sustainable lifestyles of consumers. Empirical research was conducted in order to recognize consumer opinions and behaviors in the context of selected manifestations of deconsumption. The quantitative study was conducted in November 2021 on a sample of N = 516 Polish respondents using the CAWI technique and the authors’ own questionnaire. The respondents were asked about, among other things, the reduction of food consumption. The main hypothesis of the study was that deconsumption practices among Polish respondents are manifestations of their aspirations to live a sustainable lifestyle — for this purpose, a statistical hypothesis of no correlation between belonging to one of the groups of respondents (incidental, fragmentary, or lifestyle deconsumers) and food deconsumption practices was formulated and tested in a quantitative study. One in two respondents declared a reduction of food consumption in the twelve months preceding the survey. Health concerns were the second most common reason for food deconsumption, preceded by rising food prices, which highlighted the importance of motives of an economic and health nature over the others covered in the survey, and could therefore be attributed to sustainable practices relating to consumers’ lifestyles. The respondents gave up or limited the consumption of salty snacks, sweets, and ready meals to the highest degree. A relatively high percentage of respondents declared limiting the consumption of meat and cold cuts as well. The reduction of fish and seafood and dairy products consumption was observed to a slightly lesser extent. The results of the study revealed a relatively high consumer awareness of healthy eating, as well as care for health and a slim figure. This observation coincides with current consumer trends (care for health, conscious consumer, well-being, “health again”). Deconsumption in the researched study sample took also the form of dietary trends such as flexitarianism, vegetarianism, and veganism, which are gaining popularity nowadays.

Iterative Attribute Hierarchy Exploration Methods for Cognitive Diagnosis Models

Attribute hierarchies are commonly assumed to exist in many fields of psychological and educational assessment. Several theory-driven and data-driven approaches have been used to validate or explore attribute hierarchies, such as validating attribute hierarchies in the cognitive diagnostic model (CDM) through statistical hypothesis testing or even learning attribute hierarchies directly from data. A class of structural parameter standard error estimation methods for CDMs is useful for exploring attribute hierarchies, with the limitation that the information matrices of some model parameters may be unstable or singular, leading to biased hypothesis testing. An iterative method of attribute hierarchy testing was proposed to modify the original z-statistic method. The simulation study systematically compares the performance of the z-statistic and the iterative z-statistic in exploring the attribute hierarchy. The results show that the iterative z-statistic provides a better Type I error control rate and statistical power, and it partially solves the problem that the z-statistic is too conservative. In addition, the iterative z-statistic method also achieves satisfactory results on real data.

The Relationship of Full Day School Policy And Interest in Learning to Science Learning Outcomes in Grade IV At SD Negeri 04 Batang Tajongkek Padang Pariaman

This research is motivated by the low learning outcomes of students, particularly in the subject of IPAS, due to the implementation of a full day school policy and students' lack of interest in participating in lessons at Fourth Grade SD Negeri 04 Batang Tajongkek. Based on this background, the aim of this study is to determine the relationship between the full day school policy and students' learning interest on IPAS learning outcomes in Fourth Grade SD Negeri 04 Batang Tajongkek. This research is a correlational study with both simple and multiple correlation types. The research sample consists of 25 students. The instruments used are closed questionnaires to measure the variables of full day school policy and learning interest to describe IPAS learning outcomes in Fourth Grade SD Negeri 04 Batang Tajongkek. Data analysis techniques include descriptive statistical analysis and hypothesis testing. The results indicate a relationship between the full day school policy and learning interest with IPAS learning outcomes in Fourth Grade SD Negeri 04 Batang Tajongkek. The analysis showed a simple and multiple hypothesis test, with a correlation coefficient for the full day school policy (rx_1y) of 0.39, indicating a correlation with a contribution of 15.21% of the full day school policy variable to student learning outcomes, which is significant (t_calculated 2.188 > t_table 2.069, at α=0.05). The correlation coefficient for learning interest (rx_2y) is 0.42, indicating a correlation with a contribution of 17.64% of the learning interest variable to learning outcomes, which is significant (t_calculated 2.208 > t_table 2.069, at α=0.05). The multiple correlation coefficient for the full day school policy and learning interest with learning outcomes is rx_1 x_2y = 0.74, showing a strong correlation with a contribution of 54.76% from both variables to learning outcomes, which is significant (F_calculated 13.35 > F_table 2.074, at α=0.05). Thus, there is a relationship between the full day school policy and learning interest with IPAS learning outcomes in Fourth Grade SD Negeri 04 Batang Tajongkek.

Pengaruh Efikasi Diri Akademik terhadap Hasil Belajar Geografi Fase F SMA Negeri 1 Linggo Sari Baganti Kabupaten Pesisir Selatan

The purpose of this study was to analyze whether there is a positive and significant influence of academic self-efficacy on the learning outcomes of geography phase F of SMA Negeri 1 Linggo Sari Baganti, Pesisir Selatan Regency. The type of research used is quantitative research with a correlational approach. The location of the study was at SMA Negeri 1 Linggo Sari Baganti, Pesisir Selatan Regency. The research period was April 22 to May 22. The population in this study were students of phase F who taught geography subjects at SMA Negeri 1 Linggo Sari Baganti, Pesisir Selatan Regency. The number of samples was 97 people using the total sampling technique. Data collection techniques used in this study were observation, surveys, and documentation records. The data analysis procedure technique in this study used validity tests, reliability tests, descriptive statistical analysis, normality tests, linearity tests and hypothesis tests. The results of this study concluded that 1) There is a significant relationship between academic self-efficacy and student learning outcomses at phase F of SMA Negeri 1 Linggo Sari Baganti, Pesisir Selatan Regency as indicated by a significant correlation level value of 0.000 which is smaller than 0.05. This means that the academic self-efficacy variable has an effect on the learning outcome variable. 2) The academic self-efficacy of students in phase F of SMA Negeri 1 Linggo Sari Baganti Pesisir Selatan as a whole is in the low classification, which can be seen from the pie chart and the academic self- efficacy percentage table. 3) The learning outcomes of students in phase F of SMA Negeri 1 Linggo Sari Baganti as a whole are in the context of the less group, based on the calculation of the pie chart and the Learning Outcome Criteria (KKTP) table set by the school.

Pengaruh Aplikasi TikTok terhadap Minat Belajar Siswa Geografi pada Kelas XI SMA Muhammadiyah 09 Kualuh Hulu Kabupaten Labuhan Batu Utara

The purpose of this study is to find out whether the TikTok application affects students' interest in learning geography subjects at SMA Muhammadiyah 09 Kualuh Hulu, North LabuhanBaatu Regency. This study uses quantitative research on the technique used, namely purposive sampling. This research has 2 classes as a sample. The number of respondents was 72 students. It is divided into an experimental class and a control class. The data collection techniques used in this study are observation, questionnaires, pretest posttest questions and documentation. The data analysis techniques in this study used validity tests, reliability tests, descriptive statistical analysis, normality tests, homogeneity tests, and hypothesis tests. The results obtained are in accordance with the researcher's calculations, there is an influence of the TikTok application on the learning interest of students at SMA Muhammadiyah 09 Kualuh Hulu, LabuhanBatu Utara Regency, North Sumatra province, This can be seen from the results of the research on the value of students' learning interest scores in experimental classes that use the TikTok application as a learning medium is higher than in the control class using the conventional method (lecture). In addition, judging from the significance value of 0.000 is less than 0.05 thus H0 is rejected and Ha is accepted. Therefore, the hypothesis states that social media has an effect on students' interest in learning.

Compliance with Headgear Evaluated by Force- and Temperature-Sensitive Monitoring Device: A Case-Control Study.

The aim was to objectively assess compliance in patients prescribed headgear and evaluate the impact of monitoring awareness, treatment duration, gender, and age on compliance levels. A total of 22 patients with Class II malocclusion wore the headgear integrated with the force and temperature sensitive Smartgear monitoring system (Smartgear, Swissorthodontics AG, Cham, Switzerland). Patients were instructed to wear the headgear for 13 h daily over a 3-month period. Randomly, 11 patients were informed that they monitored and 11 were not informed. Data were organized using Microsoft Excel and analyzed using R for statistical estimates, graphs, and hypothesis testing. Smartgear recorded an average daily compliance of 6.7 h. No statistically significant differences were found in cooperation between study group and control group over the 3 months of treatment, regardless of gender and age. However, there was slight greater cooperation in the first month than in the other months, and patients ≤10 years of age had almost 2 h more cooperation than their older counterparts. Moreover, the informed group exhibited an average of 1.1 more hours of cooperation per day than the uninformed group, which may carry clinical significance. This cooperation primarily occurred at night and was found to be statistically significant. Compliance among young patients typically remained lower than the prescribed level, regardless of their gender and psychological maturity. Although an awareness of monitoring does not seem to improve compliance, implementing such systems could still offer dentists a valuable means of obtaining objective information about their patients' adherence.