Reliability Index Research Articles

Ship Hull Hybrid Structural Design Accounting for Reliability

The optimum ship hull design solution has always been a concern, and in recent years, genetic algorithms to optimise the ship hull structure have been developed. The genetic algorithm’s fundaments generate alternative solutions and compare them with pre-defined constants and objectives. The development of design solutions evolves through competition and controlled variations. Minimising the ship hull structure weight is essential in reducing the ship’s capital (construction) expenditure and increasing the cargo capacity. The risk of the ship is associated with the loss of the ship, cargo, human life, environmental pollution, etc. It is a governing factor impacted by the chosen structural design solution and the measures taken to reduce the structural weight. A genetic algorithm will be employed to study the weight minimisation of a multi-purpose ship hull structure, controlling the associated risk by accounting for several structural design variables. The risk and best design solution are defined by the probability of compressive collapse of the stiffened plates, integral ship hull structure, and the associated cost due to failure. The Pareto frontier solutions, calculated by the non-dominated sorting genetic algorithm, NSGA-II, will be employed to determine feasible solutions for the design variables. The first-order reliability method will estimate the Beta reliability index based on the topology of the stiffened plates and ship hull structure as a part of the Pareto frontier solutions. The algorithm employed will not account for any manufacturing constraints and consequences due to the encountered optimal design solution.

Examining the relationship between health literacy and pesticide protective behaviors among farmers in Thailand

Background The use of chemical pesticides without proper health literacy (HL) and necessary pesticide protective behaviors (PPB) can result in adverse effects on human health. Methods This study aims to determine if there is a correlation between HL and PPB among farmers in the Nakhon Ratchasima province, using a random sample of 464 farmers. Structured interviews consisted of three parts: 1. General information, 2. Health literacy (including knowledge, understanding, and other sub-aspects), and 3. Protective behaviors against chemical exposure. Each part of the questionnaire had a reliability index of 0.60 or higher. The reliability of the 2nd and 3rd parts of the questionnaire were as follows: sub-sections of part 2 had a Kuder-Richardson (KR-20) coefficient of 0.79 and Cronbach’s alpha (α) coefficient of 0.85-0.86, while part 3 had an α of 0.88. Risk of chemical exposure was assessed using a Cholinesterase Reactive Paper test administered by a finger-prick blood test. Data was analyzed using the Spearman correlation and binary logistic regression. The study was reviewed by the Human Research Ethics Committee with the approval date: August 9, 2021, and expiry date: August 9, 2022. Results Most participants had moderate levels of overall HL (48.8%) and PPB (44.6%). There was a statistically significant positive correlation between HL and PPB (rs(478) = 0.70, p<.005). Logistic regression analysis demonstrated that HL had a statistically significant positive association with PPB (p<.001, OR = 6.57, 95% CI 3.95, 10.94) and was associated with blood cholinesterase levels. Conclusions These findings highlight the need for increased health literacy among farmers in Thailand to ensure correct protective behaviors against chemical exposure and reduce the adverse effects of pesticide exposure on human health.

A grouping module assessment method for ocean engineering systems: Subsea tree system as a case

In the ocean engineering environment, the quality failure data of complex systems are difficult to obtain due to the high experiment cost. In addition, using a single model to analyze risk, reliability, availability, and maintainability is a big challenge. Based on the fault tree, Dynamic Bayes and Markov models, a state assessment method for ocean engineering systems with multiple maintenance modes is proposed in this paper. This method gives full play to the advantages of the three methods, and comprehensively analyzes the risk, reliability, availability and maintainability. This method uses fault tree and Markov model to pre-process fault data, and then inputs the pre-processed fault data into the multi-state degradation model based on dynamic Bayesian theory. Considering the maintenance strategies of no repair, perfect repair, imperfect repair and preventive repair, the model is iterated and adjusted until the model has processed all the event data and the updated model can best reflect the state of the system. The method is verified by taking the subsea tree of the subsea production system as an example. The obtained tree reliability index (mean time without failure) is basically consistent with the failure statistics of offshore and onshore reliability databases, which verifies the accuracy of the proposed method.

Шкала воспринимаемого стресса для детей: психометрические показатели

<p>The article presents the results of a psychometric analysis of the Perceived Stress Scale for Children (PSS-C), developed by B.P. White. The scale was designed to evaluate the degree of perceived stress in children and is similar to perceived stress scales used in adult populations. Psychometric analysis is crucial for diagnosing children's stress experiences and for the frequent use of the scale in research. The study was conducted on a sample of 635 children, aged 6 to 8.3 years (mean=6.73; SD=0.38), who were enrolled in preschool educational institutions. Respondents completed the Perceived Stress Scale and an anxiety test (R. Tamml, M. Dorki, and V. Amen). The research was conducted individually, adhering to ethical guidelines. Exploratory and confirmatory factor analyses were conducted to assess the structure of the PSS-C, resulting in the identification of two distinct factors: Distress and General Well-being. The reliability indices (Cronbach's alpha) for the Distress subscale and the General Well-being subscale were 0.74 and 0.61, respectively. The unique properties of the subscales within the Perceived Stress Scale for Children serve to prevent their amalgamation into a singular factor, while still allowing for the derivation of a general indicator of perceived stress. The General Well-being subscale correlates negatively with the anxiety score, while the general perceived stress score correlates positively. Overall, the psychometric analysis of the Perceived Stress Scale for Children allows its use as a tool for addressing research problems.</p>

Critical success factors for ergonomics programs and their relationship to benefits of health and safety in Mexico’s manufacturing industries

This research determines the critical factors for implementing ergonomics programs related to health and safety benefits in the manufacturing industries of Ciudad Juarez, Mexico, from the middle/upper management perspective. The sample was non-probabilistically selected for convenience, comprising individuals in middle and senior management positions. An original questionnaire containing 105 items measuring five latent variables was developed, reviewed, and validated for data collection. The sample size totalled 206 participants. Structural equation models using partial least squares (PLS) were employed to analyse interrelationships between variables. This research demonstrated acceptable reliability and quality indices. Management commitment emerged as the most significant factor, exerting the highest direct, indirect, and total effects on the work environment and prevention activities, significantly enhancing health and safety benefits. Consequently, manufacturing companies in Juarez City must strive to improve management commitment in the working environment and prevention activities since both strategies can increase employee health and safety benefits.

Interval riccati equation-based and non-probabilistic dynamic reliability-constrained multi-objective optimal vibration control with multi-source uncertainties

Structural vibration control is used to ensure the safety of structures in service and has become an active research area in the past few years. In this study, uncertainties in structural dynamics are considered to propose an interval linear quadratic regulator (LQR) method based on an interval Riccati equation. Multi-objective optimization with non-probabilistic dynamic reliability as a constraint is performed to design an optimal uncertain vibration control system. To alleviate the difficulty of quantifying the probabilistic uncertainty and accurately characterize uncertainty information for small samples, multi-source uncertainties are regarded as interval parameters. The bounds on these uncertainties are determined, and the deterministic and uncertain parts of an interval state-space equation for vibration control are then formulated using an expanded-order matrix and the interval analysis method. Next, the interval perturbation method with a matrix series is used to develop a novel solution method for the linear inhomogeneous time-invariant equation in the interval state-space equation for the vibration control system and is used to accurately predict the interval bounds of the state responses. The conventional LQR method from modern control theory is used to propose a novel optimal control method based on a novel interval Riccati equation using the Lyapunov equation and interval uncertainty propagation. The proposed interval control method can be used to estimate the uncertain bounds of the controlled gain and cost function. A non-probabilistic dynamic reliability model is established to evaluate the reliability index of the system, which can overcome the limitations of the large computational cost of determining the probabilistic reliability. The deterministic controlled cost and uncertain states are considered as two optimization objectives with the proposed reliability constraint. The resulting constrained multi-objective optimal vibration control problem is designed and solved using c-DPEA. A flowchart is presented as a clear overview of the uncertain vibration control method, and the effectiveness of the proposed method is validated using two numerical examples. Different optimal control designs are obtained using different reliability constraints for quantitatively analyzing the safety of the control system.

Evaluation of operational reliability in an electrical distribution feeder

This work analyzes the options for repowering, reconfiguration, and automatic load transfer that a feeder can have. The study was carried out from the head of a distribution substation using the CYMDIST application, through which the failure rate, repair time, and availability and unavailability indices were determined. Using the "Reliability Analysis" module of the CYMDIST software, consumer-oriented reliability indices are obtained, allowing a reconfiguration and the optimal path to be identified in a reasonable analysis time. The main results show that the repair time should be shorter than the maneuvering time for reconnection. It was also possible to define the conditions for ensuring proper operation before and after the fault, the location of the automatic reconnection equipment, and the communication system used.

Workplace Humanization and Job Effectiveness of Business Education Graduates in Tertiary Institutions in Rivers State

This study examined workplace humanization and job effectiveness of business education graduates in tertiary institutions in Rivers State. Two (2) objectives, research questions and null hypotheses were stated, answered, formulated and tested to guide this study. Descriptive survey design was adopted in this study and the population consists of one thousand two hundred and eighty-three business education graduates in public tertiary institutions in Rivers State and the sample size of this study was two hundred and ninety-seven respondents drawn from the population with the use of Taro Yamen formular, hence simple random sampling techniques was adopted in this study. A self-developed questionnaire titled “Workplace Humanization and Job Effectiveness of Business Education Graduates Questionnaire (WoHuJEBEGQu) was used to obtain data for this study. In addition, the said instrument employed face and content validity, which was validated by experts in the study area and a reliability index coefficient of 0.81 was obtained using test-retest method of Pearson Product Moment Correlation Coefficient (PPMC). Mean and standard deviation was used to answer and analyzed the research questions while independent t-test statistical tool was used to test the null hypotheses at 0.05 level of significance. Findings of this study revealed that job security and equity in remuneration are the variables of workplace humanization that enhances job effectiveness of business education graduates in tertiary institutions in Rivers State to a high extent. In addition, there is no significant difference in the mean responses of male and female business education graduates on extent job security and equity in remuneration enhances job effectiveness in the aforementioned institutions in Rivers State. It was therefore recommended among others that management of institutions should display equal fairness in the areas of employees’ remuneration so that there will not be room for any marginalization.

Digital Teaching Competence and Foreign Language Learning in Students of a National University in Lima

The research shows the relationship between digital teaching competence and foreign language learning in students at a national university from Lima. It is a non-experimental descriptive study with a cross-sectional correlational design, applied to a sample of 151 students from Enrique Guzmán y Valle National University of Education. To collect data for the first variable, it was built a questionnaire with the response parameters of the Likert scale. Based on the Cronbach's Alpha test, this instrument reached a reliability index of 0,780. For the second variable, a test was applied and the reliability level was measured through the Kuder-Richardson coefficient, showing an index of 0,865, so it is inferred that these instruments had a high level of reliability. About the general hypothesis, Spearman's correlation coefficient was 0,705, a high positive correlation. The investigation result allows to confirm that there is a direct and significant association between teaching digital competence and foreign language learning, that is, the higher the level of teaching digital competence, the better the learning achievements of the students.

Optimization of reservoir operation by sine cosine algorithm: A case of study in Algeria

The optimal operation of the reservoir has vital importance in water engineering. In the presented article, a new optimization method, named sine cosine algorithm (SCA) was employed to obtain operating policy for an irrigation system. The SCA was utilized for the monthly operation of the Boukerdane Dam placed in the north of Algeria. The fitness function was the minimization of the total shortage for the studied period. Three scenarios considering three different seasons of inflow (dry, normal and wet) are used to optimize the reservoir system’s operation. The SCA outputs were compared with particle swarm optimization (PSO) and kidney algorithm (KA). The outcomes indicated that the SCA surpassed the PSO and KA in convergence rate. The general results indicated the low speed of KA and PSO in achieving convergence. The results indicated that the highest RES (resiliency index), SUS (sustainability index) and REL (reliability index) achieved by the SCA were 65, 86 and 92 %, respectively. Comparing the third scenario with the first and second scenarios, it was observed that the third scenario (wet seasons) improved the results.

Exploring the influence of Thai private universities human resource management practices on employee retention and performance

The article examines employees' perceptions regarding human resource management practices in Thai private universities. It also analyses the effects of these practices on employee job satisfaction, quality service performance and retention within the context of Thai private universities. The study employed a cross-sectional survey research approach to ensure the inclusion of a representative sample from small and medium sized private universities within the population under investigation. The study includes 12,318 employees of the 38 Thai private universities: 6,458 from small sized private universities and 5,860 from medium size private universities. 20 private universities comprised of 14 (70%) small sized and 6 (30%) will form the sample of the study. From this sample distribution, 91 (72.8) academic staff from 14 small sized private universities and 34 (27.2%) from medium sized private universities making 125 academic staff and 20 HR managers as the sample size of the investigation. The study utilized a maximum variation deliberate (MVD) sampling method for the selection of 125 academic staff and 20 HR managers. Closed-ended questionnaires and semi-structured questionnaires were employed for the purpose of data collection. The validity of the instrument was assessed by a panel of experts to establish content validity, utilizing Lawshe's template with a ratio of 0.99. Furthermore, the homogeneity of the instrument was determined using Cronbach Alpha resulting in a reliability index of .81. The data was collected primarily via an online survey. The data underwent analysis utilizing frequency counts and percentages, chi-square at a significance level of p.05. This was done to ascertain the statistical significance of HRMP on employee retention and performance. The findings demonstrate a conspicuous and uniform association between employee responses across the institutions under scrutiny, underscoring a statistically significant connection between human resource management practices and job satisfaction, quality service performance and retention of employees. Therefore, it is essential to acknowledge that the implementation of HRM practices holds significant importance for small and medium private universities. This is primarily due to its ability to effectively address the expenses incurred from employee turnover, which can arise because of insufficient job satisfaction leading to poor job performance and retention.

Data-enhanced design charts for efficient reliability-based design of geotechnical systems

This paper proposes a new design chart approach for reliability assessment, which enables clear visualization of the representative soil shear strength parameters under various reliability levels and effective stress levels. Utilizing the design charts, reliability assessment or reliability-based design can be performed with significantly reduced numbers of evaluations of the geotechnical system response. The design charts are established solely based on the probability distributions of soil parameters, and are applicable to a variety of geotechnical problems involving the same soil type. For practical illustration of the proposed approach, design charts are produced from the shear strength databases of saprolitic soils and colluvial soils in Hong Kong, and then applied to the reliability-based design of a slope with soil nail reinforcements. The ensuing design solutions require much fewer soil nails compared to the conventional design practice, while also achieving a better system reliability. The same charts are then applied to the reliability-based design of a retaining wall, where a series of design options are identified with equivalent reliability index against overturning failure and pullout failure. Through the proposed approach, the use of design charts promotes efficient reliability-based design of geotechnical systems with rational incorporation of reliability concepts.

Reliability-based robust control strategy via LMI approach for TMDs and ATMDs with uncertain parameters

This paper presents an integrated reliability-based H∞ robust control. This method consists of the H∞ control method and the Hasofer-Lind and Rackwitz-Fiessler (HL-RF) strategy. In this respect, the uncertainties in the system should be taken into account by using the random variables, which may arise due to various factors Such as the absence of understanding of the properties of materials, mistakes in design, etc. Also, considering the uncertainties in the system is important because it may cause wide changes in the responses of a system. For this reason, the reliability method must be carefully examined. To reduce the responses of the structure, TMDs and ATMDs are used. The parameters of the dampers (mass, stiffness, damping) are considered with uncertainty. An iterative HL-RF algorithm is used for structure equipped with TMDs to deal with uncertainties. To find the appropriate control force of TAMDs, the combination of the H∞ control strategy based on the linear matrix inequality utilized and the HL-RF method algorithm is expressed. Two types of dampers are vertically distributed on the different floors to increase the reliability of the structure under earthquake excitations. The proposed strategy indicated that the system's responses have been provided greater value by considering the uncertainty that shows the importance of this issue. According to the obtained values, the presented algorithm has performed well. Also, the proper reliability index is acquired by using the HL-RF method.

Digital technology adoption and school leadership in the post-pandemic era: Insights from high school leaders

Integrating digital technologies into the educational landscape seems to be a defining factor for learning and leading in the pandemic and post-pandemic era. Hence, this study examines the impact of digital technology adoption on school leadership and management in the post-pan­demic era, focusing on high school leaders' experiences in Oyo State, Nigeria. The theoretical framework is anchored on the Technology Acceptance Model (TAM), which elucidates factors influencing technology adoption through perceived usefulness, perceived ease of use, and attitude toward usage. The study used a descriptive research design and sampled 227 high school leaders across three senatorial districts, collecting data via a validated questionnaire. The reliability index of the instruments is as follows: school leaders' digital technology adoption (? =0.85), digital media tools' usage (? =0.95), and professional development opportunities (? =0.84). Results indicate a positive influence of digital technology on school leadership and management, enhancing communication, virtual administration, performance monitoring, and breaking spatial-temporal barriers. WhatsApp, Email, Google Forms, and Zoom were identified as the most frequently used digital media tools, while professional development in digital technologies was provided to a moderate extent for 58.2% of high leaders. The findings demonstrate the need for more extensive professional development programs by indicating a considerable investment in school leaders' digital competency development, but not all-encompassing. Recommendations include enhancing the quality and frequency of training, promoting diverse digital tools, tailoring professional development to specific needs, and implementing regular assessment and feedback systems to improve digital technology integration in schools.

Understanding Peer Sexual Norms, Attitudes, and Pressure: Correlates of Risky Sexual Behaviours among Secondary School Adolescents in Anambra State, Nigeria

Aims: Sexual behaviour initiation often takes place throughout adolescence and is typically linked to engaging in unprotected sexual practices and other high-risk sexual behaviours. This research investigated the correlation between peer sexual behaviour, sexual attitudes, pressure to engage in sexual activity, and sexual risk behaviours among secondary school adolescents in Anambra State. Methodology: The study was carried out with a correlational research approach. The research included 1,200 individuals from a population of 19,048 SS2 teenagers in public secondary schools. Cronbach's Alpha statistics were used to evaluate the internal consistency of three scales: the Brief Sexual Attitudes Scale (BSAS), the Pressure to Have Sex Questionnaire (PTHSQ), and the modified Sexual Risk Behaviour Scale (SRBS). The reliability coefficients for the Adolescent Sexual Behaviour Index (ASBI) were 0.86, 0.96, and 0.80, respectively. The reliability index of the ASBI was determined using Kuder Richardson statistics, resulting in a coefficient of 0.86. The data was obtained by directly administering the instruments and processed using the Statistical Package for Social Sciences (SPSS). Pearson Product Moment Correlation is a statistical measure that quantifies the strength and direction of the linear relationship between two variables. Coefficients were used to address the research enquiries, while the null hypotheses were examined using a t-test to determine significant association. Results: The results indicated a weak positive association between the sexual conduct of peers, sexual attitudes, and pressure to engage in sexual activity, and sexual risk behaviours among secondary school teenagers in Anambra State. Furthermore, the findings demonstrated a notable association between these variables and the sexual risk behaviours of secondary school adolescents in Anambra State. Conclusion: Based on these data, it was determined that there is a weak positive link between peer sexual behaviour, sexual attitude, peer pressure to engage in sexual activity, and unsafe sexual behaviours among secondary school teenagers in Anambra State. Given this information, it is advisable for school administrators to establish health initiatives aimed at assisting young people in adopting enduring sexual habits that promote their overall health and well-being. These practices should also aim to minimise their susceptibility to HIV and other sexually transmitted diseases.

Reliability and Validity of the Turkish Version of the Gross Motor Function Measurement (GMFM-88&66) in Children with Cerebral Palsy.

The gross motor function measurement is considered as the gold standard for the motor assessment of children with cerebral palsy. The aim was to carry out the cross-cultural adaptation and investigate psychometric properties. A total of 150 children with cerebral palsy aged 2-16 (mean 8.82 ± 3.78 years; 54.7% male) included. The Gross Motor Function Measurement was adapted into Turkish. Two physiotherapies independently administered the gross motor function measurement. Internal consistency and intra/inter-rater reliability were assessed using Cronbach's alpha, intraclass-correlation-coefficient. Standard-error-of-measurement, minimal-detectible-change calculated. The Bland-Altman method was applied to estimate the measurement bias in reliability analysis. Construct validity assessed with Spearman's correlation coefficient between the gross motor function measurement and the gross motor function classification system, pediatric-evaluation-of-disability-inventory-mobility; confirmatory-factor-analysis was carried. Internal-consistency (α: 0.997-1.00); reliability indices were excellent for total scale (intraclass-correlation-coefficient for intra-rater reliability 0.994-0.999, inter-rater reliability 0.997-0.999) and for each sub-dimension and total score. Standard-error-of-measurement was ranging 1.044-1.677, minimal-detectible-change was 2.435-5.520. Construct validity was supported by strong to excellent negative significant correlations (p < 0.05).

Reliability analysis of output electrical response performance of multi-state flexoelectric structures under single and multiple failure modes

This paper proposes a reliability model of flexoelectric beams in the electrical open and short circuit states when different failure modes and the multiple failure modes of the output electrical response performances are considered, respectively. The reliability indices of the flexoelectric beams in the two circuit states can be defined based on the output electrical response models. Sequentially, the importance sampling (IS) and the mixed importance sampling (IS) methods are respectively used to calculate the reliability of the flexoelectric beams in single and multiple failure modes. The reliability results of the flexoelectric beams are verified by comparing them with the results of the Monte Carlo Simulation (MCS). The numerical results show that the flexoelectric beam is entered into a relatively safe and reliable state when the critical value of the open circuit voltage of 0.235 V and the thickness of the flexoelectric beams of 1 mm are considered as well as the length-thickness ratio of 20.

Item Analysis of Multiple-Choice Question (MCQ)-Based Exam Efficiency Among Postgraduate Pediatric Medical Students: An Observational, Cross-Sectional Study From Saudi Arabia.

Several modalities of written examination have been employed in medical education, with multiple-choice questions (MCQs) being the most frequently used and preferred format. This underlines the need to regularly assess and monitor the quality of MCQs in medical exams. Such assessment of MCQs helps to ensure that these exams are well‑designed and adequately poweredto evaluate students' performance. Hence, the current study assessed the efficiency of an MCQ-based examination, in a cohort of pediatric post-graduate students in Saudi Arabia. This observational, cross-sectional study examined the efficiency of MCQs in terms of their validity, reliability, difficulty index (DFI), discrimination index (DI), and distractor efficiency (DE). The exam consisted of a total of 48 MCQs, 144 distractors, a total score of 48, and no negative marking. The reliability index of 0.76 showed the consistency and reproducibility of the exam results. The exam had a DFI of 69.77%, indicating an overall moderate level of difficulty. The exam had a balanced mix of 23 easy (47.9%), 20 (41.7%) moderately difficult, and five (10.4%) tough questions. Twenty (41.6%) items had a DI of ≥0.3, indicating good discrimination of high and low performers, while the remaining 28 MCQs (58.3%) had a lower DI of ≤0.19, implying poor discriminative ability. The DE was 81.25%, indicating that the majority of distractors in the exam were functional. To the best of the author's knowledge, this is the first study among post-graduate pediatric students from Saudi Arabia, to present the results of item analysis of an MCQ-based exam. The study highlights the importance of optimizing the quality of MCQs by following established guidelines, to make MCQ-based clinical assessments more effective. It reiterates the importance of a reasonable DFI well aligned with students' knowledge levels, maximum distractor functionality, and an impactful DI, in developing high-quality MCQs.

Effect of Gender on Students’ Attention and Academic Performance in Analytical Chemistry Using Collaborative-Predict-Explain-Observe-Explain (CPEOE)

This research investigated the possibility of enhancing senior secondary school students’ academic performance irrespective of gender in analytical chemistry concept using Collaborative-Predict-Explain-Observe-Explain (CPEOE). The study adopted a quasi-experimental research design. Analytical Chemistry Attention Inventory (ACAI) and Analytical Chemistry Performance Test (ACPT) were the instruments used for data collection. Cronbach Alpha was used to ascertain the reliability index of ACAI which gave reliability value of 0.87. The internal consistency of ACPT was tested using Kuder-Richardson (KR-21) formula which yielded a reliability value of 0.96. The population was 7,152 SS2 students offering chemistry in Makurdi, Benue State, Nigeria. A sample of 157 students drawn from 3 schools in Makurdi Local Government Area of Benue State, Nigeria was selected using multi-stage sampling techniques. Four research questions and four null hypotheses guided the study. The research questions were answered using Mean and Standard Deviation scores while the null hypotheses were tested at 0.05 level of significance using results from Analysis of Covariance (ANCOVA). The study revealed among others, that there was no significant difference between the mean attention rating of male and female students taught analytical chemistry {F1, 78 = 1.020, P&gt;0.05}. It was also revealed that that there is no significant difference between the mean academic performance of male and female students taught analytical chemistry using CPEOE {F1, 78 = 4.890, P&gt;0.05}. It was recommended among others that since CPEOE is not gender sensitive. Hence, both male and female students should be involved in CPEOE classroom to enhance their attention and academic performance in analytical chemistry. Serving teachers should be encouraged to use CPEOE in teaching analytical chemistry concepts.

The society human immunodeficiency virus health literacy scale: the development and psychometric assessment

Society human immunodeficiency virus (HIV) related health literacy is an essential behavioural skill that contributes to understanding the disease and responding to people living with HIV. Measuring HIV health literacy in the community requires reliable tools to produce an objective health literacy index. This study aimed to design and examined the society HIV health literacy scale's (SHIVAL) psychometric properties. A cross sectional study was conducted on 381 people without HIV. Sample recruitment used convenience sampling. Instrument development and psychometric analysis include item pool construction and content validity examination, consistency reliability test, and exploratory and confirmatory factor analysis. A standardized four factor model fits the HIV health literacy measure well. This scale has 15 items with good Cronbach's Alpha reliability index and content validity index. The final SHIVAL Scale has been determined reliable and appropriate for measuring health literacy related to HIV. Nurses or healthcare professionals can use this scale to predict an individual's HIV health literacy, thereby influencing the social intervention of HIV disease and enabling effective community health literacy strategies.