Statistical Analysis Of Data Research Articles

Analisis Perbandingan Kinerja Perusahaan Sebelum dan Sesudah Employee Stock Option Program (ESOP) (Studi Empiris pada Perusahaan Manufaktur yang Listing di Bursa Efek Indonesia Tahun 2017-2020)

Implementation of the Employee Stock Option Program in this study aims to compare the company's performance both before and after the implementation of the Employee Stock Option Program for manufacturing companies listed on the IDX in 2017-2020. This research is a manufacturing issuer with as many as 193 companies. Purposive Sampling used in the sampling technique, so that a sample of 11 companies. Available analytical methods include descriptive statistical data analysis, normality test which also uses other tests (paired sample t test), and hypothesis testing with the Paired Sample Test and Wilcoxon test. The results of the study concluded that there were no differences in ROA, ROE, NPM, and TATO before and after the implementation of ESOP in manufacturing companies listed on the IDX for the 2017-2020 period.

The Comparison of Physical and Chemical Properties of Pellets and Briquettes from Hemp (Cannabis sativa L.)

The adaptation of lignocellulosic materials such as Cannabis sativa L. as a new renewable energy source is linked to the fact that the technology must be developed to be able to adapt to local market conditions. Bioenergy consumers are faced with this problem because, when it comes to the selection of briquettes and pellets for energy production, there are only individual standards in place. This research is intended to provide a better understanding of hemp product potential as a new material that can be used in the production of pellets and briquettes for biofuel purpose. Nevertheless, the anisotropic raw material interferes with the compaction process and may expose a poor durability of the pellets and briquettes. The research that was conducted evaluated the conditions of the biofuels by measuring the physical and chemical parameters. The ash content, compressive strength, and durability of the samples were examined. The statistical data analysis was performed after the strength tests on the prepared samples.

Planning For Resilience: Examining Gaps in Cyclone Preparedness and Impacts on Marginalized Communities in India's East coast cities

Cyclones and associated storm surges pose a major threat to coastal communities in India, especially along the Bay of Bengal where their intensity is higher. This paper examines cyclone resilience planning in four coastal cities - Visakhapatnam, Puri, Rameshwaram, and Velankanni. A multi-dimensional analysis is undertaken to focus on disaster preparedness, tourism economy contributions, socio-economic inclusion, and sustainability principles. The key objective is to study the integration of cyclone resilience with equitable, tourism-based development to strengthen vulnerable communities through conceptual modeling. The research methodology employs a mixed methods approach combining literature review, secondary data analysis of resilience infrastructure and tourism statistics, and conceptual model development. Findings highlight continued infrastructure and preparedness gaps alongside persisting socio-economic disparities limiting resilience access for marginalized groups. While progress is visible on early warnings, shelters, and evacuations, constraints exist regarding storm-proofing of amenities, customized enterprise support, secure housing, and risk financing tools. The study concludes that resilient, sustainable outcomes require planning processes that engage tourism-dependent communities through bottom-up participation. Coupled with hazard-resilient land use standards, customized livelihood protection schemes, resilient affordable housing programs, and coherent governance; tourism-centric coastal cities can enhance capacities to absorb cyclone impacts and enable inclusive rebuilding. Key Words: Cyclone resilience, Coastal city planning, Socio-economic vulnerabilities, Tourism economies

The Influence of Commitment and Job Satisfaction on Employee Performance in Megamendung Bogor

The aim of this research is to determine the effect of commitment and job satisfaction on employee performance in the Bogor Megamendung detective training. This research uses a quantitative method, namely a research method that is post-positivism, namely researching a certain population or sample, where data collection uses research instruments and statistical data analysis with the aim of testing the hypotheses that have been determined so that direct or indirect relationships between variables can be identified. The number of respondents taken was 55 people. Several data collection methods were used, namely questionnaires, direct observation, literature study, documentation. Technical data analysis uses a Likert scale and regression method through the SPSS program. The research results show data that commitment has a positive effect on employee performance, job satisfaction has a positive effect on employee performance, commitment and job satisfaction have a positive effect on employee performance.

The effect of lean tool on research culture and research performance in Indonesia’s higher education institutions

Quality Assurance in higher education is a lean tool to improve the quality and performance of HEIs, including lecturer research performance. This study examines the effect of implementing Quality Assurance in higher education as a lean tool on the research culture and research performance of lecturers at Indonesia’s private HEIs. The data represent respondents’ perceptions of the research variable indicators. 184 questionnaires were suitable for processing. Data were collected from 184 lecturers from approximately 25 private HEIs in Jakarta, Indonesia. A 5-point Likert scale was used to measure indicators of research variables. Statistical data analysis was carried out using Structural Equation Modeling with the Smart-PLS ™ program. The results show that Quality Assurance as a lean tool has a significant impact on research performance (β = 0.643; p = 0.000) and research culture (β = 0.361; p = 0.000). Research culture affected research performance significantly (β = 0.281; p = 0.000), and research culture significantly mediates the effect of Quality Assurance as a lean tool on the research performance (β = 0.102; p = 0.010), and the effect is strong (Ѵ = 0.181). Research findings reveal that the successful implementation of Quality Assurance as a lean tool is determined more by organizational readiness than individual readiness; this is reflected in the existence of effective research centers. An effective research center will support the standardization of research processes through continuous improvement so that lecturers behave more actively in scientific activities and perform research more productively.

Legal regulation of the use of forest resources

The purpose of the study was to carry out a comprehensive analysis of the legislative framework in the field of forest resource management in Albania in the context of forest ecology, and species diversity, and to identify the main problems and prospects for sustainable development of the country’s forestry. The research methodology included the analysis of statistical data from the National Institute of Statistics of Albania on the structure of forest ecosystems and forms of their management. The results of studies conducted by international organizations such as the World Bank, Global Environment Facility, and Oikon d.o.o. were also used. The structure and composition of Albania’s forest resources, including those of natural and semi-natural origin, are analysed. The legal framework in the field of forest management in Albania is summarized. Different management structures for forestry land are characterized, with the identification of the specifics of use for different forms of ownership. The main problems of forest management are identified, including intensive exploitation of private forests, lack of subsidies and investments, as well as imperfect legislative regulation. Adaptation measures to increase the sustainability of Albania’s forests within the framework of the Albanian Forest Policy Document for the period 2019-2030 are substantiated. Strategic areas of development, such as the expansion of protected areas, the development of ecotourism and the attraction of green investments, are proposed. The study also emphasizes the importance of international cooperation for financial and technical support, which will facilitate the implementation of sustainable forest management practices and biodiversity conservation. The practical significance of the study is that these results can be used to develop strategic directions for the development of the forest sector in Albania, aimed at ensuring sustainable management and conservation of forest resources, which is a key factor for the country’s economic and environmental well-being

The screening of cannabis addiction using machine learning, MoCA, and anxiety/depression tests

A new cannabis addiction screening approach is developed based on the use of Machine Learning (ML) alongside with psychological and cognitive assessment tests. The Hospital Anxiety and Depression (HAD) test is used to determine the Absence of Anxiety and Depression “No Disorder” or the presence of “Anxiety Only”, “Depression Only”, and both “Anxiety and Depression”. These features are considered to evaluate the psychological effects of cannabis use. In addition to that, the Montreal Cognitive Assessment (MoCA) test is chosen as a feature to assess the cognitive state of the participants. Also, the Age of First Cannabis Use (AFCU) is included as a feature to incorporate participants with no prior cannabis use alongside with those who have used cannabis before. The portion of participants with prior experience consuming cannabis comprises a subset containing passive users and a subset of users that have developed cannabis addiction. This 6-month study was conducted in Marrakech, Morocco in a center affiliated to the National Association of Drug-Risk Reduction of Morocco known as RdR-Maroc with the participation of 146 subjects. The participants in this study are grouped into two groups of 73 participants each. Both case and control groups were clinically assessed by a professional. In this paper, the classical statistical data analysis for the AFCU (M=15.6; SD=2.4), MoCA (M=25.0; SD=2.4), and HAD (58 cases with no disorder, 88 cases with disorder) failed to separate between the two classes. Also, the feature selection for modeling is performed using Spearman correlation, Kendall correlation, and the Odds Ratio (OR). These statistics showed that the selected features were associated to addiction except for “Anxiety Only”. Moreover, ML models such as Logistic Regression (LR), Support Vector Machine (SVM), Artificial Neural Network (ANN), kth-Nearest Neighbor (KNN), and Decision Tree (DT) were used to classify participants into two categories (Addict vs. Non-Addict) based on the selected features mentioned earlier. The Receiver Operating Characteristic (ROC) curve is used to overview the quality of the models and showed that they all captured the nonlinearities underlined in the data. On the other hand, the Area Under the Curve (AUC) allowed the ranking of these models and indicated that the SVM model outperformed all other models with an AUC of 0.97. After that, the SVM model was compared to the Cannabis Use Disorder (CUD) based screening method issued by the fifth edition of the Diagnostic and Statistical Manual of mental disorders (DSM-5). The SVM model's accuracy of 96.6 % outperformed the CUD questionnaires accuracy of 87.7 %. The validity of the proposed approach was investigated where the SVM model presented high validity characteristics (sensitivity=1, specificity=0.93) compared to the CUD questionnaire (sensitivity=0.75, specificity=1). Hence, the proposed approach provided satisfactory results compared to current adopted CUD based screening test. Our findings expand current research on the development of simple and powerful tools for cannabis addiction screening with the purpose of early detection in order to establish preventive and therapeutic strategies that could potentially mitigate the prevalence of cannabis addiction.

Abstract PO4-20-01: A PROSPECTIVE PILOT STUDY OF MAMMOGRAPHIC PREDICTION OF WOMEN’S RISK (M-POWER) IN NIGERIA

Abstract Background There have been no sustained efforts at stemming the rising incidence and mortality from breast cancer in sub-Saharan African countries like Nigeria. Mammography is the gold standard for breast cancer screening and is associated with improved survival particularly among women 50 to 69. Reports from various parts of Nigeria show very low mammography screening uptake. Causes include lack of geographical access, financial issues (less than 5% of the population is covered by the National Health Insurance Scheme), lack of awareness and the increasing expertise gap from the continued brain drain, despite the already low number of radiologists in the country. Given these obstacles, our long-term goal is to devise a rational basis for identifying mammographic risk categories so that this resource can be deployed cost-effectively. We propose to carry out a 5-year prospective mammographic study in Nigerian women and to use machine learning to develop a risk prediction algorithm, so that following a single screening mammogram, the appropriate frequency of subsequent mammograms can be determined. Our immediate goal is to examine the feasibility of performing such a study. To this end, we have initiated a cross-sectional pilot study that will recruit up to 2000 women in multiple urban centers in Nigeria. Objective: To explore feasibility of creating a digital mammography image database representative of the radiological features of the breast of Nigerian women. Objective: To explore feasibility of creating a database that can be used to inform a predictive mammographic risk model for breast cancer and identify the appropriate population that will benefit from breast cancer screening in Nigeria. Design This is a prospective, open-label, cross-sectional pilot study in 2000 eligible women in Nigeria and will include a single screening mammography examination. The mammography images will be read by the study radiologist. The Pilot phase will determine the feasibility and aid in the design of the of the Extension phase in which up to 20,000 participants will undergo yearly mammography examination for 5 years. Incident cases of breast cancer during the study period will permit the development of deep learning algorithms for predicting the risk of breast cancer in this population. Main Eligibility Criteria: Inclusion Criteria All consecutive women aged ≥40 years and < 65 years presenting for screening mammography at the participating institutions will be eligible. Signed study-specific written informed consent. Exclusion Criteria Complaint of a focal dominant lump or a bloody or clear nipple discharge. History of breast implants. Any woman who is pregnant or has reason to believe that she might be pregnant. Statistical Methods Analyses of continuous data will be summarized using descriptive statistics where the following parameters will be reported: Number of observations, Number of missing observations, Mean, Median, Standard deviation (SD), Minimum (Min), Maximum (Max) Categorical data will be presented with absolute and relative frequency (n and %). Present Accrual and Target accrual Two hundred ninety-six women have been enrolled and screening digital mammographic images using GE Digital mammography equipment have been obtained on all participants at 2 study sites in 2 cities in Southern Nigeria. The target accrual is 2000 participants over 12 months. Conclusion Our preliminary experience to date suggests the feasibility of proceeding with a larger prospective study to define mammographic risk groups in Nigerian women which will permit the rational allocation of resources for breast cancer prevention activities in this underserved population. Contact Information: Dr Toyin Shonukan at tshonukan@yemanjacancercare.org Citation Format: Oluwatoyin Shonukan, Hyelakumi Ibrahim, Esther Udoh, Wahab Egbeolu, Kanyinsola Oyeyinka, Jonas Haggstrom. A PROSPECTIVE PILOT STUDY OF MAMMOGRAPHIC PREDICTION OF WOMEN’S RISK (M-POWER) IN NIGERIA [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-20-01.

Abstract PO4-16-12: Patient initiated centricity towards improved communication, side effect management and follow-up care by Real World Evidence Survey from patients for patients – Preview of the Breast BRIDGister Platform

Abstract Background Treatment adherence is crucial for outcome improvement. Still up to 50% of patients interrupt e.g. endocrine treatment or other effective treatment choices due to side effects or miscommunication. Reasons may include limited time spent for patient information in daily routine and the intrinsic barriers to frankly tell the truth to the attending physicians. Therefore, a patient initiated survey has been compiled to comprehensively address all clinical, diagnostic and critical aspects of importance for patients by decentral data capture from patients at home via smart devices in a pseudonymized & interactive fashion to refocus on challenges regarding patients needs, fears and wishes to support evidence based statistical analysis of Real World Data. Materials and Methods Establishing a cloud-based IT Platform enabling nationwide, decentral data entry using Climedo clinical trial software tools without the need of any commercial app utilities and therefore obeying GDPR conform standards to create an interconnected online platform integrating 36 interconnected surveys comprising >1.200 singular questions has been set up between 2020 and 2022 based on patients content elaboration & wishes. The questionnaires address all Real World experiences e.g. at initial diagnosis, during primary treatment and all subsequent lines as well as side effect management with complementary medicine and follow up care realities. After 100 patients a preplanned statistical analysis has been performed to evaluate the feasibility of the patient oriented ePRO approach and demonstrate relevance of proof-of-concept results before entering international trial expansion. Descriptive analysis by Excel as well as Correlation analysis; Chi square and Partitioning tests using the SAS JMP® 9.0.0 software were performed. Results Despite in depth complexity > 85% of patients completed the whole survey. Age distribution of the pilot cohort revealed comparably younger patient age (28% between 30-39 years, 40% between 40-49 years, 24% between 50-59 and 10% being above 60 years) and dominance of Triple Negative Patients (~39%) participating the online survey in the pilot cohort. 97% of patients were treated in certified breast centers (50% in larger centers of bigger towns,15% in central clinics, 23% in university sites, 5% in local hospitals and 7% at office based doctors). Interestingly, 25% of patients did not or only partially understand their diagnosis and upcoming treatment. Time spent for communicating initial breast cancer diagnosis was less than 10 minutes for 25% of patients, while 13% did not remember. Exclusively one treatment option was discussed with 86% of patients. 78% have been informed about their initial breast cancer diagnosis in personal meetings, while 21% were informed by phone calls. 37% of patients had been informed about their patient rights. At preplanned interim analysis 38% of patients were lymphnode positive and 6% metastasized at initial diagnosis. 56% of patients were satisfied with their guideline conform follow-up-care, while 42% did pay for additional follow up care on their own. 85% of patients wished to have a risk-adopted, more individualized follow-up care. Conclusion Despite complexity and lengthiness > 85% of patients did complete the survey. There is an apparent need to have more time for initial confrontation with diagnosis and treatment options. Patients are frequently not informed about alternative treatment options as well as patient rights. Patients frequently feel under pressure in their life threatening situation and suffer substantial lack of information as well as appropriate personal communication. Patient centricity should focus on elaborated communication and information systems that support treatment decision acceptance and adherence. Further details analysis will become available in upcoming subanalysis of the Breast BRIDGister platform survey. Citation Format: Cornelia Stuewe, Ralph Wirtz, Christa Gress, Lena Schmidt, Veronika Schweighart, Sebastian Eidt, Claudia Schumacher, Julia Habraschka, Heidi Lehmann, Katrin Schuere. Patient initiated centricity towards improved communication, side effect management and follow-up care by Real World Evidence Survey from patients for patients – Preview of the Breast BRIDGister Platform [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-16-12.

The relationship between orthodontic and orthopaedic interventions in the influence of postural position on the bite.

In orthodontic treatment, the influence of posture on the bite plays a significant role in achieving stable results. With modern lifestyles, posture problems are becoming more common. The aim of this study was to comprehensively analyze the relationship between orthodontics, orthopedics, and the influence of posture on bite. The study reviewed statistics on the growth and popularity of orthodontic treatment methods and identified the importance of a comprehensive medical approach, especially for concomitant spine, posture, and flat feet problems. The following methods were used to achieve the objective: collection and analysis of statistical data on the popularity of orthodontic treatment; review of studies; clinical observations; and a comparative analysis of the effectiveness of different treatment methods. The study revealed a high degree of correlation between orthodontics, orthopedics, and the effect of posture on bite formation. A detailed analysis of the statistical data confirmed the increased interest in orthodontic treatment, including the use of modern technologies such as braces and eliners. This relevance is particularly noticeable in cases where there are concomitant problems with the spine, posture, and flat feet. One of the significant findings of the study was the confirmation of the urgent need for the convergence of orthodontic and orthopedic techniques to optimize the quality of care for patients suffering from combined posture and bite problems.

The First International eDNA Workshop in Hong Kong: A beginner's guide for the next‐generation eDNA researcher

AbstractThe field of environmental DNA (eDNA) has rapidly advanced in recent years, providing a non‐invasive and time‐saving method for assessing biodiversity. The First International Environmental DNA (eDNA) Workshop in Hong Kong was held from 16 to 27 October 2023 and provided early career professionals with hands‐on training and collaboration opportunities in eDNA research. With support from The Croucher Foundation Limited (Hong Kong), the workshop covered all stages of an eDNA‐based research project, including study design, field sampling, eDNA extraction, library preparation, bioinformatics, statistical data analysis, and ethics in scientific research. Participants gained insights into the principles and practical applications of eDNA technology, emphasizing the importance of careful experimental design and data interpretation. The workshop also highlighted the need for standardized protocols, comprehensive and local DNA reference databases, and careful selection of primer sets to overcome current issues and limitations. Workshop participants expressed enthusiasm for the potential of eDNA metabarcoding as a valuable tool for ecological monitoring, biodiversity assessment, and conservation decision‐making. The future of eDNA research looks promising overall, with continued advancements in technology, collaboration among researchers, and the integration of eDNA into large‐scale ecological monitoring. Future iterations of the Hong Kong International eDNA workshop will continue to provide hands‐on training and collaboration opportunities for early career professionals interested in eDNA research, focusing on addressing current limitations and challenges in the field.

Texture identification in liquid crystal-protein droplets using evaporative drying, generalized additive modeling, and K-means Clustering

Sessile drying droplets manifest distinct morphological patterns, encompassing diverse systems, viz., DNA, proteins, blood, and protein-liquid crystal (LC) complexes. This study employs an integrated methodology that combines drying droplet, image texture analysis (features from First Order Statistics, Gray Level Co-occurrence Matrix, Gray Level Run Length Matrix, Gray Level Size Zone Matrix, and Gray Level Dependence Matrix), and statistical data analysis (Generalized Additive Modeling and K-means clustering). It provides a comprehensive qualitative and quantitative exploration by examining LC-protein droplets at varying initial phosphate buffered concentrations (0x, 0.25x, 0.5x, 0.75x, and 1x) during the drying process under optical microscopy with crossed polarizing configuration. Notably, it unveils distinct LC-protein textures across three drying stages: initial, middle, and final. The Generalized Additive Modeling (GAM) reveals that all the features significantly contribute to differentiating LC-protein droplets. Integrating the K-means clustering method with GAM analysis elucidates how textures evolve through the three drying stages compared to the entire drying process. Notably, the final drying stage stands out with well-defined, non-overlapping clusters, supporting the visual observations of unique LC textures. Furthermore, this paper contributes valuable insights, showcasing the efficacy of drying droplets as a rapid and straightforward tool for characterizing and classifying dynamic LC textures.Graphical

Stem cell research in Indonesia from 2003 to 2022: A bibliometrics analysis

Context: Stem cell research has become popular in Indonesia for more than a decade. The scope of research involves in vitro to animal studies as well as human trials. However, no evidence proved its trend. Aims: To analyze the trends and patterns of stem cell research in Indonesia from 2003 to 2022 using a bibliometric analysis of the Scopus database. Methods: The data for the paper were retrieved from Scopus and then analyzed using bibliometrics. Statistical data analysis was performed. Results: The results showed that stem cell research in Indonesia has been increasing steadily over the years, with the majority of publications focusing on “Medicine”, “Biochemistry, Genetics, and Molecular Biology” and “Pharmacology, Toxicology, and Pharmaceutics”. It was found that a total of 260 related articles had been published. Rantam was identified as the most productive author, and the authorship network analysis identified nine clusters of authors. The keywords “stem cells”, “culture”, “proliferation”, “differentiation”, and “tissue engineering” were the most frequently used in the publications analyzed. Conclusions: Overall, this study provides valuable insights into the development of stem cell research in Indonesia and may inform future research and funding decisions in this field.

DETERMINATION OF WAIST CIRCUMFERENCE IN ADOLESCENTS AS A PREDICTION TOOL OF CARDIOVASCULAR RISK FACTORS

Objective: to assess the efficiency of WC at teenagers in prognostication of cardiovascular risk factors Design and method: Cross-sectional study developed with 1519 adolescents aged 12-13 years (average age, standard deviation 12.3 + 0.46 years). The prevalence of hypertension was assessed and its relationship with waist circumference. Criteria for assessing blood pressure of adolescents are identified by the following data: normal blood pressure (systolic and dyastolic blood pressure <89 percentile); high normal blood pressure (systolic and dyastolic blood pressure < 90 and 94 percentile); hypertension (systolic and dyastolic blood pressure 95 percentile). The analysis and processing of statistical data were carried out using the SPSS (version 22) program. The Pearson Chi squared test was used for comparison between groups and the presence of relationships between them or Fisher test for the difference between the proportions. The criterion for the statistical significance of the obtained results was considered the value of p <0.05. ROC analysis was used to study the relationship between waist circumference and overweight/obesity. The distinctive impact of waist circumference on the development of these states was expressed as the area under the curve (AUC 95% CI) Results: From 1519 studied teenagers of 12-13 years, boys were 49.1% (n=745), girls 50.9% (n=774) respectively. Population with normal BP composed 62.7%, normal raised blood pressure - 24.8%, Hypertension-12.4%. There were conducted measurements of waist circumference as a method of indirect assessment of abdominal obesity. There was revealed WC 90P 98.5% (n=939) of teenagers that shows insignificant number of the adolescents suffering from abdominal obesity. The distribution by sex was: with a normal waist circumference value 98.8% among boys, 94.7% girls respectively, girls are more likely to have abdominal obesity than boys, (Chi squared test = 19.940, df = 1, P 0.001) Conclusions: waist circumference rates are not as popular among children and adolescents in comparison with adults. According the obtained data of high sensitivity and specificity, it is possible to recommend active use of waist circumference in clinical practice for the early detection for the assessment of the risk of developing cardiovascular diseases regarding maturity

A service-user digital intervention to collect real-time safety information on acute, adult mental health wards: the WardSonar mixed-methods study.

Acute inpatient mental health services report high levels of safety incidents. The application of patient safety theory has been sparse, particularly concerning interventions that proactively seek patient perspectives. Develop and evaluate a theoretically based, digital monitoring tool to collect real-time information from patients on acute adult mental health wards about their perceptions of ward safety. Theory-informed mixed-methods study. A prototype digital monitoring tool was developed from a co-design approach, implemented in hospital settings, and subjected to qualitative and quantitative evaluation. Phase 1: scoping review of the literature on patient involvement in safety interventions in acute mental health care; evidence scan of digital technology in mental health contexts; qualitative interviews with mental health patients and staff about perspectives on ward safety. This, alongside stakeholder engagement with advisory groups, service users and health professionals, informed the development processes. Most data collection was virtual. Phase 1 resulted in the technical development of a theoretically based digital monitoring tool that collected patient feedback for proactive safety monitoring. Phase 2: implementation of the tool in six adult acute mental health wards across two UK NHS trusts; evaluation via focused ethnography and qualitative interviews. Statistical analysis of WardSonar data and routine ward data involving construction of an hour-by-hour data set per ward, permitting detailed analysis of the use of the WardSonar tool. A total of 8 patients and 13 mental health professionals participated in Phase 1 interviews; 33 staff and 34 patients participated in Phase 2 interviews. Patients could use a web application (the WardSonar tool) to record real-time perceptions of ward safety. Staff could access aggregated, anonymous data to inform timely interventions. Coronavirus disease 2019 restrictions greatly impacted the study. Stakeholder engagement permeated the project. Phase 1 delivered a theory-based, collaboratively designed digital tool for proactive patient safety monitoring. Phase 2 showed that the tool was user friendly and broadly acceptable to patients and staff. The aggregated safety data were infrequently used by staff. Feasibility depended on engaged staff and embedding use of the tool in ward routines. There is strong evidence that an incident leads to increased probability of further incidents within the next 4hours. This puts a measure on the extent to which social/behavioural contagion persists. There is weak evidence to suggest that an incident leads to a greater use of the WardSonar tool in the following hour, but none to suggest that ward atmosphere predicts future incidents. Therefore, how often patients use the tool seems to send a stronger signal about potential incidents than patients' real-time reports about ward atmosphere. Implementation was limited to two NHS trusts. Coronavirus disease 2019 impacted design processes including stakeholder engagement; implementation; and evaluation of the monitoring tool in routine clinical practice. Higher uptake could enhance validity of the results. WardSonar has the potential to provide a valuable route for patients to communicate safety concerns. The WardSonar monitoring tool has a strong patient perspective and uses proactive real-time safety monitoring rather than traditional retrospective data review. The WardSonar tool can be refined and tested further in a post Coronavirus disease 2019 context. This study is registered as ISRCTN14470430. This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: NIHR128070) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 14. See the NIHR Funding and Awards website for further award information.

The evaluation of the training, "the approach to epilepsy and epileptic seizure," which was given to teachers in Türkiye.

Epilepsy is the most common neurological disorder among humans after headaches. According to the World Health Organization, approximately 50-65 million individuals were diagnosed with epilepsy throughout the world, and around two million new cases of epilepsy are added to this figure every year. Designed as descriptive and cross-sectional research, this study was performed on 132 elementary school teachers. Training on epilepsy and epileptic seizure was given to teachers. The pretest and posttest research data were collected with the face-to-face interview method. In this process, the epilepsy knowledge scale was used as well as a survey form that had questions designed to find out about teachers' personal characteristics. The Statistical Package for Social Science 25.0 was utilized in the statistical analysis of research data. In the research, the statistical significance was identified if the p-value was below.05 (p<.05). Of all teachers participating in the study, 59.1% were female, 90.2% were married, and 47.7% witnessed an epilepsy seizure before. The mean of teachers' pretest epilepsy knowledge scores was 8.43±4.31 points before the training while the mean of their posttest epilepsy knowledge scores was 12.65±2.48 points after the training. The difference between the means of pretest and posttest scores was statistically significant (p=.000). After the training, there was a statistically significant increase in means of scores obtained by teachers from each item of the epilepsy knowledge scale (p<.05). As there was a statistically significant improvement in levels of teachers' knowledge about both epilepsy and epileptic seizure after the training, it is recommended that the training about the approach to epilepsy and epileptic seizure be given to all teachers, and additionally, including these topics in the course curricula of universities is recommended.

Preface

The 2023 International Conference on Applied Mathematics and Digital Simulation (AMDS 2023) was held successfully on 28-29 December 2023 in Beijing, China. The contributions are the results of submissions from the conference participants, who provide readers with a broader view of mathematical, statistical and computational science methods, ideas and tools.There are 92 participants in AMDS 2023, in which the program includes 6 keynote reports (35-45 minutes), 48 oral presentations (15 mins+3 Q&A) included in four sessions (Mathematics and Computational Theory, Mathematical Modelling and Machine Learning Methods Statistics Modelling and Data Analysis, and Fluid Dynamics and Mechanics), 15 E-posts and 23 listeners. The point of the conference emphasizes the development of theories and applications and promotes interdisciplinary endeavors among mathematicians, statisticians, scientists, engineers and researchers from other related disciplines.This volume comprises selected papers from the AMDS2023 conference. Accepted manuscripts were peer-reviewed by 2 to 4 reviewers in a double-blind review process. A total of 48 reviewers participated in this conference and provided their professional comments to authors to ensure the quality of the manuscripts. There are six topic partitions, including Mathematics and Computational Theory, Statistics Modelling and Data Analysis, Mathematical Modelling and Machine Learning Methods, Fluid Dynamics and Mechanics, Mathematical Modelling in Physics and Control and Automation, which constitutes an up-to-date account of principles, techniques, and tools for mathematical simulation and modelling in a wide range of research fields.We would like to thank the authors of all papers and participants; the members of the Scientific Committee who assisted with the review of the papers submitted and presented at the conference; the four session chairs: Prof. Yichuan Zhao, Prof. Quanxin Zhu, Prof. P.M. Siva Raja, Prof. Rao Li; the six keynote speakers: Prof. Alexander G. Ramm, Prof. Ovidiu Radulescu, Prof. Hajime Urakawa, Prof. Yanjun Liu, Prof. Grienggrai Rajchakit and Prof. Oscar Eduardo Ruiz Salguero; the organzier and sponsors: the Hubei Mengshun Exhibition Service Center, the Research Center for Stochastic Configuration Machines (SCM), the National Laboratory for Scientific Computing (LNCC); the publisher: IOP Publishing Ltd agrees to publish the AMDS 2023 proceedings. We are grateful for your attendance and contribution to a successful AMDS 2023.Organizing Cmmittee of AMDS 2023Jiang Zhu (Advisory Chair)National Laboratory for Scientific Computing-LNCC, BraziList of Conference Committees are available in this Pdf.

Sabango charcoal: A basis for a proposed community extension program

Numerous negative environmental impacts result from deforestation brought by the production of charcoal can be seen on news, and experienced by certain communities. Due to the high demand for traditional charcoal made from wood, there is also a high demand for cutting trees resulting in soil erosion, biodiversity loss, and modifications to regional climatic patterns are all consequences of deforestation. The researchers conducted the study to propose a solution to these problems by promoting sabango charcoal made from organic waste, such as dried mango leaves and saba banana peels. The researchers aimed to assess the acceptability level of sabango charcoal compared to traditional charcoal and used as a basis for a community extension program. Based on the analysis of statistical data, it showed that there is a significant difference between sabango charcoal and traditional charcoal in terms of smoke, ignition, and longevity. The gap between sabango charcoal and traditional charcoal can be determine to the smoke it produces, the time it takes to ignite, and the burning time. It can also be reused multiple times and offers a more environmentally friendly product.

Development and validation of a QbD-based RP-HPLC method for vericiguat quantification

Aim: An RP-HPLC method for Vericiguat using the QbD approach was developed and validated by ICH guidelines. Method: The ICH (Q2R1) guidelines have been followed in the development and validation of an RP-HPLC technique by considering several validation parameters like linearity, precision, LOD, LOQ, and accuracy. The study was performed on Agilent Tech using the C18 column (4.6x250 mm; 5 µm) and Chemstation 10.1 software with statistical data analysis, and the detector used was UV (DAD). Results: The mobile phase used for separation was Methanol: 0.1% OPA in the ratio of (76:24) at room temperature, the flow rate was 0.8ml/min, and the wavelength was 331nm. The results indicated that the quantification limit was 0.7209 µg/ml, and the detection limit was 0.2379 µg/ml. Conclusion: The validation studies confirmed that the developed method is fast, accurate, precise, cost-effective, selective, and useful for routine analysis of vericiguat in tablet dosage forms.

Implementation of the Independent College KIP Policy at Tanjungpura University

This research aims to determine the implementation and benefits of the Smart Indonesia Card (KIP) Kuliah Merdeka program policy. The model used in this research is the Success model from Ripley and Franklin, namely (1) level of compliance, (2) continuity of implementation, and (3) performance and impact. The method used in this research is descriptive qualitative with interviews and statistical data analysis with key informants from the Academic and Student Affairs Bureau. The results of the study show that the implementation of the Independent College Smart Indonesia Card (KIP) program has been going well since the program was first proposed to potential recipients of education assistance. Utilizing this program is considered very useful, especially in the field of education. Especially for people who are still unable to meet their needs. The Academic and Student Affairs Bureau has also carried out the process and provided transparent assistance. This shows a commitment to supporting the implementation of the KIP Kuliah Merdeka program.