Middle Level Research Articles

Presenting the AI models in predicting the settlement of earth dams using the results of spatiotemporal clustering and k-means algorithm

In this work, the results of instrumentation over 8 years, including the phases of construction, first impounding, and operation, have been used to analyze the location of the Eyvashan Dam settlement. Mohr–Coulomb behavioral model and numerical model of Plaxis 2D software were used to verify the monitoring results. The results demonstrated that settlement of the dam has increased in the dam's core since the beginning of construction, and they eventually stabilized during the operation phase. After the completion of the construction phase, the maximum settlement of the dam core was recorded as 809 mm, which is equivalent to 1.2% of the height of the dam at the middle level. Also, an approach to interpreting the settlement behavior of earth dams has been presented that is based on spatiotemporal clustering. Also, RF, MARS, and GMDH models were created based on a proposed scenario to predict settlement using points located in a cluster. Therefore, the settlement location of the studied dam was determined using the results of the k-means clustering algorithm in the aforementioned AI models. The high accuracy of the results of the proposed method confirms the proper performance of using AI models in predicting and diagnosing the settlement of earthen dams using the results of k-means spatiotemporal clustering algorithm. The evaluation of the models shows that the ENN model is a more suitable and efficient tool in this field and can be useful in monitoring the settlement of earth dams.

Improving the Science Literacy Ability of Middle Level School Students Through Extracurricular Management of Science and Self-Efficacy

The basic premise of this article is the importance of extracurricular science activities for students and the self-efficacy that exists in each individual learner. Both can be important factors in achieving learning goals at school. Learning objectives can be achieved effectively if the school provides the best programs and curriculum according to the character development of its students, so teachers must play their role actively, creatively and competently in managing the learning process in the classroom. This research aims to determine the influicer of school-programmed science extracurricular management and self-efficacy to improve scientific literacy skills in middle level students. The focus of the research lies in the level of influicer of science management and self-efficacy in improving scientific literacy skills in Natural Sciences subjects using a quantitative approach to the field research model through interviews, observations and distributing questionnaires to students used as samples. The findings from the research results are (1) There is a significant influence between good science extracurricular management and increased scientific literacy in students, amounting to 0.005 with a confidence value of 5% (2) There is a significant influence between self-efficacy and increased scientific literacy of 0.002 with a confidence value of 5% and (3) The level of effectiveness of these two factors can be seen from the determination valueNagelkerkeamounted to 83.4% and can be said to have a high level of effectiveness, while 16.6% there were other factors that were not included in this research.

Factors associated with anxiety-related symptoms in children and adolescents during COVID-19 in Oman: a cross-sectional study.

Reports from different parts of the world suggest that the COVID-19 pandemic and the resultant lockdown and social distancing measures have heralded unprecedented mental health challenges among children and adolescents. To date, there is a dearth of studies emerging from the Arabian Gulf, where the majority of its population are children and adolescents. The study aims to examine the prevalence of anxiety-related symptoms and their covariates among children and adolescents in an Arabian Gulf country, Oman. This is a cross-sectional analytic study carried out over two weeks (1st to 15th of August 2020) during the COVID-19 pandemic across Oman. Parents were asked to complete the online survey, which consisted of the parent version of the Screen for Child Anxiety Related Emotional Disorders (SCARED) instrument and questions regarding basic socio-demographic information. Logistic regression was used to identify the contributing variables associated with anxiety-related symptoms. A total of 790 valid responses were received. Among the 790 children, 33.3% (n = 263) were diagnosed with anxiety-related symptoms by the SCARED instrument. Logistic regression analysis suggested that anxiety-related symptoms in children and adolescents were significantly associated with three demographic variables. The model shows that children with divorced or separated parents were 1.9 times more likely to have anxiety-related symptoms than children of married couples (OR = 1.93, p = 0.035). Children living in families with an income below USD 1000/month, were 1.8 times more likely to have anxiety-related symptoms than a family with an income of USD 4000/month (OR = 1.833, p = 0.018). Children in grades 3-6 were 1.8 times more likely to have anxiety-related symptoms than those in grades 1-2 (OR = 1.79, p = 0.024). Anxiety-related symptoms are common among Omani children and adolescents. They are more likely to be reported in middle scholastic grade levels and children from families with marital discord and low socioeconomic status. It is not clear whether the presently observed rates of anxiety exceed the prevalence that would have been observed prior to the COVID-19 pandemic. More studies are therefore warranted using children and adolescents' self-reported scales.

Digitalization and Firm Performance in ASTRA: The Mediating Role of Differentiation Strategy

Digitalization has emerged as a key factor in achieving sustainable performance. This is shown by the number of companies that utilize digital technology and related research to increase competitive advantage. The purpose of this study is to examine the relationship between digitalization mediated by strategic differentiation and firm performance. The research methodology used in this research is quantitative method. The target of this research is companies in the ASTRA with a research sample consisting of 80 respondents. The findings show that digitalization has been proven to have an impact on firm performance, strategic differentiation has been proven to have an impact on firm performance, and strategic differentiation is able to mediate between digitalization and firm performance. Practical implication: Digitalization allows companies to implement differentiation strategies more effectively. By adopting the right digital technology, companies can create unique, personalized, and value-added products or services for customers. These advantages can differentiate the company from competitors and provide a strong attraction for customers, which in turn can improve the firm performance. This report is derived from research conducted at the middle and top management levels in several companies in the ASTRA.

Employees’ Motivation and Local Governments Performance in Tanzania: A Case Mvomero District Council

Employee motivation is a universal concept that is accepted by human resource practitioners as a tool to improve organizational performance. This study sought to examine the effects of employee motivation in improving performance in local governments in Tanzania. The study aims at examining the contribution of employee motivation to local governments in Tanzania. This paper adopted a research case design whereby Mvomero District Council was the case study. A sample size of 78 respondents was taken for the study. The study adopted a mixed approach whereby qualitative and quantitative approaches in the data collection process. The data was collected through key informant interviews and questionnaires. The findings revealed that the majority of the respondents were negative about the employee motivation provided in Mvomero District Council, especially at ward and village levels. The findings also, found that there is a positive relationship between employees’ motivation and employees’ performance. The higher the employee’s motivation the higher the employee’s performance. The study indicated that employees are motivated by financial motivation rather than non-financial motivation. The study concluded that there is a greater relationship between employee performance and employee motivation and employees in rural settings are less motivated compared to their counterparts in an urban setting. The study recommended that the government incentives policies should be reversed not only to motivate top management levels and consider middle and lower levels employees. The study also, recommended for the Mvomero District Council to improve the working conditions of the employees who are working in remote areas

The Burden of Occupational Noise-Induced Hearing Loss From 1990 to 2019: An Analysis of Global Burden of Disease Data.

The relationship between long-term exposure to occupational noise and hearing loss has been extensively documented. We aimed to assess spatial and temporal changes in the burden of occupational noise-induced hearing loss (ONIHL) in 204 countries and territories with varying socio-demographic indexes (SDI) from 1990 to 2019. Temporal and spatial trends in age-standardized disability-adjusted life year rates (ASDR) for ONIHL were estimated by sex, age, SDI level, country, and geographic region from 1990 to 2019. We used the Joinpoint model to calculate annual average percentage changes to assess such trends and projected trends in ASDR for ONIHL globally and across different income regions from 2020 to 2044 using an age-period-cohort model. We fitted the relationship between ASDR and SDI, ASDR and healthcare access and quality index, respectively. Overall, the global burden of ONIHL has decreased since 1990, especially in middle and lower SDI regions. In 2019, the global ASDR for ONIHL was 84.23 (95% confidence interval: 57.46 to 120.52) per 100,000 population. From 1990 to 2019, the global ASDR for ONIHL decreased by 1.72% (annual average percentage change = -0.05, 95% confidence interval: -0.07 to -0.03). Our projections showed a decreasing trend in the global ONIHL burden until 2044. ASDR and SDI (R = -0.8, p < 0.05), ASDR and healthcare access and quality index (R = -0.75, p < 0.05) showed significant negative correlations. The global ONIHL burden has decreased over the past three decades, especially in regions with middle and lower SDI levels. However, the global ONIHL burden still remained severe in 2019, notably among males, the middle-aged and elderly, and regions with lower SDI levels.

Positional Effects of Bottle-Baited Traps in Reducing Infestation Level of Coffee Berry Borer Hypothenemus Hampei Ferrari in Kilimanjaro Region, Tanzania

Coffee berry borer (CBB) is among the key insect pests of coffee worldwide. The use of bottle-baited traps has been in practice in several coffee-growing areas including Tanzania. However, there is limited information about the influence of height and spacing of commonly used bottle-baited traps in managing CBB in coffee-growing areas in the country. Therefore, the objective of this research was to evaluate the effect of height where traps were placed (0.6, 1.2, and 1.6 m) on the reduction of infestation level of coffee berry borers at different developmental stages of coffee fruit (green and red fruit) under field conditions. The experiment followed a completely randomized block design with a factorial arrangement and four replications, three (lower, middle, and upper) levels of height and spacing were placed for 7 months. The number of captured CBB and damaged berries percentage was evaluated. The data were analyzed by R Software (2021) through an analysis of variance and means were separated by Turkey&amp;rsquo;s (0.05). A significant minimum berries damage (0.26%) as an implication of the lowest CBB infestation level was shown at the height of 0.6 m (for all stages of berries). On the other hand, at the red berries stage, the lowest damage (11.12%) was observed at the height of 1.6 m. Generally, this study deduced that the lower the height from which the traps are placed, the lower the infestation level of CBB hence reducing crop damage by the pest.

Authoring pandemic personal narratives: Middle level students’ representations of life during the 2020-21 school year

Authoring pandemic personal narratives: Middle level students’ representations of life during the 2020-21 school year

Team Climate and Academic Aspiration of Chinese PhD students: The Mediating Roles of Research Engagement and Academic Adaptability

 This study aims to examine the mediating roles of research engagement (RE) and academic adaptability (AD) on the relationship between team climate (TC) and academic aspiration (AS). Few studies are found in this field. A questionnaire research was conducted in Z university, a double first-class university with a complete range of doctoral disciplines in China. 419 valid online questionnaires were obtained, with an effective rate of 94.2%. ANOVA, a T-test and a chain mediation effect test were used to analyze data. The results show that the AS of the doctoral students in Z University is at middle level, and there is a significant difference in grades and major; TC positively predicts AS; RE and AD have a complete mediating effect on the positive impact of TC on AS, but have no chain mediating effect on the relationship between TC and AS. Suggestions are provided for improving doctoral students' AS and promoting their academic employment.

Comment on Altaf et al. Non-Thermal Plasma Reduction of Ag+ Ions into Silver Nanoparticles in Open Atmosphere under Statistically Optimized Conditions for Biological and Photocatalytic Applications. Materials 2022, 15, 3826.

Altaf et al. recently published in Materials, 2022; 15(11), 3826, about the synthesis of silver nanoparticles (AgNPs) using the non-thermal plasma reduction of AgNO3 salt and performed statistical optimization for the reaction conditions, i.e., (A) the concentration of a stabilizing agent, mM (B) concentration of AgNO3 salt, mM and (C) the reaction time, mins. We would like to point out that their writing on the statistical analysis (Box-Behnken response surface methodology for predicting the size of the nanoparticles) is not complete and, therefore, cannot be independently checked by the readers. The problems found in their report are as follows: the hard-to-find actual value of the uncoded units; a dubious claim about the middle levels of variable B (salt concentration); inconsistency in using coded vs. uncoded units in the table vs. the regression equation; and three center points with identical conditions give a dissimilar prediction of results. These serious issues need to be clarified and revised, as well as several writing errors, in order to uphold the standard of scientific publications.

Vertical farming for lettuce production in limited space: a case study in Northern Thailand.

Greenhouse vertical farming under natural sunlight is an alternative farming technique that grows crops in a stacking column and extends in a vertical direction. Sunlight availability is one of the crucial factors for crop development in vertical farming. Therefore, this investigation aimed to examine the effect of sunlight availability on lettuce growth and yields at different levels of vertical shelves. Six shelves were constructed with three levels: upper, middle and lower levels. Lettuces (Lactuca sativa L.) as 'Baby Cos' and 'Green Oak' at 14 days after sowing were planted on the three levels. The photosynthetic photon flux density (PPFD) was recorded, and the PPFD values were then converted to the daily light integral (DLI). Plant height and canopy width were measured three times at 14, 21 and 28 days after transplanting. At maturity, fresh weight (FW) was directly monitored after harvest. The results showed that the highest PPFD and DLI values were found at the upper level (PPFD 697 μmol m-2 s-1 and DLI 29 mol m-2 d-1) in comparison to the middle (PPFD 391 μmol m-2 s-1 and DLI 16 mol m-2 d-1) and lower (PPFD 322 μmol m-2 s-1 and DLI 13 mol m-2 d-1) levels. The lowest plant height and canopy width values were observed on the upper levels for both lettuce varieties during the three measurement dates. The middle ('Baby Cos' = 123.8 g plant-1 and 'Green Oak' = 190.7 g plant-1) and lower ('Baby Cos' = 92.9 g plant-1 and 'Green Oak' = 203.7 g plant-1) levels had the higher values of FW in comparison to the upper level ('Baby Cos' = 84.5 g plant-1 and 'Green Oak' = 97.3 g plant-1). The values of light use efficiency (LUE) showed an increased trend from the upper to lower levels in both varieties, with values of 'Baby Cos' of 0.10 g mol-1 in the upper level, 0.28 g mol-1 in the middle level and 0.26 g mol-1 in the lower level and 'Green Oak' of 0.12 g mol-1 in the upper level, 0.44 g mol-1 in the middle level and 0.57 g mol-1 in the lower level. The findings of the study indicated the viability of utilizing vertical shelves for lettuce production.

The radiative impact of biomass burning aerosols on dust emissions over Namibia and the long-range transport of smoke observed during the Aerosols, Radiation and Clouds in southern Africa (AEROCLO-sA) campaign

Abstract. The radiative effects of biomass burning aerosols (BBAs) on low-level atmospheric circulation over southern Africa are investigated on 5 September 2017 during the Aerosols, Radiation and Clouds in southern Africa (AEROCLO-sA) field campaign. This is conducted using a variety of in situ and remote sensing observations, as well as two 5 d ensemble simulations made with the Meso-NH mesoscale model, one including the direct and semi-direct radiative effects of aerosols and one in which these effects are not included. We show that the radiative impact of BBA building up over a period of 5 d in the Meso-NH simulations can lead to significantly different circulations at low and middle levels, thereby affecting dust emissions over southern Namibia and northwestern South Africa as well as the transport of BBA in a so-called “river of smoke”. While most of the regional-scale dynamics, thermodynamics and composition features are convincingly represented in the simulation with BBA radiative effects, neglecting the radiative impact of BBA leads to unrealistic representations of (i) the low-level jet (LLJ) over the plateau, which is the main low-level dynamic feature fostering dust emission, and (ii) the mid-level dynamics pertaining to the transport of BBA from the fire-prone regions in the tropics to the mid-latitudes. For instance, when the BBA radiative impacts are not included, the LLJ is too weak and not well established over night, and the developing convective planetary boundary layer (PBL) is too deep compared to observations. The deeper convective PBL over Etosha and surrounding areas is related to the enhanced anomalous upward motion caused by the eastern displacement of the river of smoke. This eastern displacement is, in turn, related to the weaker southerly African easterly jet. Both ensemble simulations provide clear evidence that the enhanced near-surface extinction coefficient values detected from observations over Etosha are related to the downward mixing of BBA in the developing convective boundary layer rather than dust being emitted as a result of the LLJ breakdown after sunrise. This study suggests that the radiative effect of BBAs needs to be taken into account to properly forecast dust emissions in Namibia.

The Impact of Artificial Intelligence on Economic Growth From the Perspective of Population External System

Artificial intelligence has sophisticated social and economic effects that cannot be ignored. Based on a thorough review of the development of artificial intelligence, this paper systematically explores the mechanism of the impact of artificial intelligence on economic growth through technology, value and application three paths, which is starting from the perspective of the population external system. In order to verify the rationality of the paths, the effect of artificial intelligence on economic growth from the perspective of population external system is rigorously estimated using artificial intelligence and macroeconomic data for China from 2011 to 2019. The findings are as follows. Firstly, there is a significant positive effect of artificial intelligence on the economic growth from the perspective of the population external system. This positive effect is sufficiently robust over the sample-wide period. Secondly, there is significant regional heterogeneity in the effect of artificial intelligence on economic growth from the perspective of the population external system. The low levels of artificial intelligence development impeded the economic growth, the middle levels of artificial intelligence development contributed significantly to the economic growth, and the high levels of artificial intelligence development did not show a significant contribution to the economic growth. In view of this, future policies should be designed in terms of revitalizing the value of the artificial intelligence stock, exploring the value potential of artificial intelligence and regulating it in a hierarchical manner.

Analysis of the thickness characteristics of the left atrial posterior wall and its correlation with the low and no voltage areas of the left atrial posterior wall in patients with atrial fibrillation

ObjectiveTo analyze the relationship between the thickness of the left atrial posterior wall and the low and no voltage zones in the left atrial posterior wall in patients with atrial fibrillation (AF).Methods61 patients admitted to our cardiology department for AF and radiofrequency ablation of AF from January 1, 2020 to May 30, 2022 were enrolled according to inclusion and exclusion criteria. The atrial wall thickness was measured by CT scan. Baseline data, preoperative cardiac ultrasound data, preoperative biochemical parameters, low voltage zone (fibrotic zone) and no voltage zone (scar zone) in the left atrial posterior wall area, and various parameters of posterior left atrial wall thickness were collected.ResultsThe differences of the thickness between the upper, middle and lower mean levels of the left atrial posterior wall were statistically significant (P = 0.004). The results showed that body mass index was weakly positively correlated with the mean level of total left atrial posterior wall thickness (r = 0.426, P = 0.001) and was statistically significant. The remaining indices were positively or negatively correlated with the mean level of total left atrial posterior wall thickness, but none were statistically significant (P > 0.05).ConclusionsBoth left atrial posterior wall low-voltage zone and voltage-free zone were positively correlated with the mean total left atrial posterior wall thickness, and left atrial posterior wall low-voltage zone and voltage-free zone were significantly positively correlated. Body mass index was weakly positively correlated with total left atrial posterior wall thickness.

A Layered Employee Recruitment Model and Strategy Considering Value Fitness

 Based on the status and role of employees at different levels in the enterprise, a hierarchical employee recruitment model (3C model) and corresponding strategies based on the perspective of values are proposed. For enterprises, rather than striving to influence and change their employees' values, it is better to choose employees who align with the company's values during recruitment. Senior managers are the leaders and leaders of enterprises, and their value orientation in business management is closely related to the long-term development of the enterprise. When recruiting, emphasis should be placed on the compatibility of values, consciously forming heterogeneity in the management values of senior team members, and improving the effectiveness of team operation; Middle level managers are the backbone of the enterprise, playing an important role in connecting the past and the future. When recruiting, emphasis should be placed on consistency of values, and their value assessment standards can be determined based on the 3V model, with appropriate consideration given to the widely recognized life values of middle level managers; Grassroots employees are the specific executors of work, and recruitment should focus on the competence of values. Enterprise values can be integrated into the competency model of the position, and comprehensive consideration should be given to specific job characteristics. The hierarchical employee recruitment strategy based on the perspective of values provides a new perspective and method for the recruitment and selection of employees from a more detailed perspective.

Effect of dietary supplementation Ampelopsis grossedentata extract on growth performance and muscle nutrition of Megalobrama hoffmanni by gut bacterial mediation

Nowadays, Megalobrama hoffmanni is a typical cultured fish in south China due to its resource decline in the Pearl River. Meanwhile, since antibiotics had been banned internationally, Chinese medical herbal plant serving as alternative to antibiotics has been adopted in aquaculture. In the present study, to ensure the health growth of M. hoffmanni, extract of traditional medical herbal plant Ampelopsis grossedentata was dietary supplemented and a series experiments were performed, including growth performance determination, physiological/biochemical detection, nutrition analysis, histology analysis, and 16S rRNA amplicon sequencing. Growth performance enhancement was determined since the weight gain rate (WGR), specific growth rate (SGR), and condition factor (CF) of M. hoffmanni increased as feeding inclusion A. grossedentata extract. Interestingly, the total content of muscle fatty acids ascended via supplementing A. grossedentata extract at middle level, in which group the activities of superoxide dismutase (SOD) and catalase (CAT) significantly increased and thus retarded the lipid peroxidation process (manifesting as malondialdehyde (MDA) content rising). Additionally, immune response and inflammatory reaction was stimulated in low and high level A. grossedentata extract added groups, indicating a suitable dosage of A. grossedentata extract benefited in safety production. Moreover, gut microbiota community varied hugely as daily supplementation A. grossedentata extract and the keystone species were tightly related to lipid transformation, which ultimately led to fatty acids composition variation. Our results confirmed that dietary supplementation A. grossedentata extract at the middle level (0.5‰, w/w) is suitable for serving as feed additive in healthful aquaculture of M. hoffmanni.

The mediating role of resilience between emotional intelligence and academic procrastination in nursing undergraduates: A cross-sectional study.

To investigate the relationship among emotional intelligence (EI), resilience and academic procrastination (AP), and provide suggestions for the development of targeted intervention strategies and lowering of AP level of nursing undergraduates. A cross-sectional study. Three provincial universities offering nursing courses in China were investigated in this study. A convenience sample of 256 nursing undergraduates from May 2021 to September 2021 were recruited, with a response rate of 91.4%. Data were collected using face-to-face interviews. The survey tools included the General Information Questionnaire, Academic Procrastination Scale, Emotional Intelligence Scale and Resilience Scale. IBM SPSS v19.0 and Amos 22.0 were used for data analysis. The AP of sampled nursing undergraduates was at the middle level (54.4 ± 21.5). The AP of nursing undergraduates was negatively correlated with EI and resilience. Moreover, the analysis on the mediating role of resilience via structural equation model showed a good fit, with χ2/df = 2.34, RMSEA = 0.07, CFI = 0.99, GFI = 0.95, TLI = 0.98. No patient or public contribution.

The evaluation model for factors affecting soil quality in waste dumps open-pit coal waste dumps based on fuzzy mathematics

Taking the Hequ open-pit coal mine waste dump as the research object, using the fuzzy analytic hierarchy process and expert scoring theory, 4 criteria and 25 factors were established, including the evaluation model of soil structure stability, soil water retention capacity, soil fertilizer retention capacity, soil biological activity, and factors affecting soil quality in the waste dumps. Using YAAHP calculation software, the weights of various influencing factors on the soil fertility restoration ability of the waste dumps were determined. Combining a fuzzy comprehensive evaluation method to determine soil nutrient standards, soil quality evaluation is divided into 5 levels, and the main influencing factors of soil restoration ability in open-pit coal mine waste disposal sites are quantitatively analyzed. The results showed that: The weight of soil fertility in the criterion layer of the evaluation model was the largest (0.548), followed by soil water retention capacity (0.198), soil biological activity (0.140), and soil structural stability (0.114). The weight of organic matter F1 in the factor layer was the highest (0.116). Due to the final evaluation score of the soil recovery ability of the target layer open-pit coal mine waste dumps is 53.584, the soil quality and nutrients of the waste dumps are in the middle level. The main factors of soil resilience are soil fertility and soil organic matter content, to provide management strategies for improving soil quality of dump, accelerating soil reconstruction, and promoting soil ecosystem restoration.

High-throughput sequencing and fatty acid profile analyses of the Black Amur bream (Megalobrama terminalis) reveal variation in dietary niche associated with geographic segregation.

Fish dietary niche is a core focus, and it reflects the diversity of resources, habitats, or environments occupied by a species. However, whether geographic segregation among different populations triggers dietary diversification and concomitant fish niche shift remains unknown. In the present study, we selected the Black Amur bream (Megalobrama terminalis) is a migratory fish species that plays an important role in the material transfer and energy cycling of river ecosystems, inhabiting southern China drainage with multiple geographic populations. Here, we utilized the combined analyses of 18S rDNA high-throughput sequencing in fish gut contents and fatty acid (FA) in muscle tissues to evaluate potential spatial patterns of habitat and resource use for M. terminalis in three rivers of southern China. Our results showed that prey items of the Xijiang (XR) population (Pearl River) exhibited the highest species diversity and richness among the three geographic populations. Moreover, diet composition of M. terminalis was affected by spatial differences associated with geographic segregation. Analyses of FA biomarkers indicated that the highest levels of C16:0, C18:3n-3, and C18:2n-6c were found in Wanquan (WS) population (Wanquan River). The XR population exhibited a distinct FA profile characterized by higher amounts of arachidonic acid (ARA) and docosahexaenoic acid (DHA). The Moyang (MY) population (Moyang River) acted as the linkage between WS and XR populations and consisted of middle levels of saturated FAs (SFAs) and polyunsaturated FAs (PUFAs). The XR population displayed a greater FA niche width compared with WS population. Furthermore, we observed a close positive relationship between the niche width and α-diversity indices of dietary resources for FA proflies. Our study provides valued information to develop different conservation strategies among different populations and improve fisheries management for M. terminalis and other endemic species in local rivers.

Revitalizing Quranic and Fiqh Education: The Endeavor of An-Najah Ihya’ As-Sunnah Foundation

The purpose of this community devotion program is as follows: 1) improve the ability to read the Qur'an and memorize Surah Al-Kahfi verses 1-7, 2) teach theory and practice in the implementation of prayer, as well as 3) provide the theories and introductions about mahram to pupils at the middle school level. The method used in community service at the An-Najah Foundation is Community-Based Research (CBR), a collaboration between the community and higher education institutions, with an action-oriented approach and application of service learning to support social movements to create social justice. The results of this activity in the first cycle show that most students still have difficulties understanding and following the activities carried out because the materials taught are still new to them. However, after the second cycle, the results show that: 1) average students can read the Quran and memorize Surah Al-Kahfi paragraphs 1-7, 2) average students understand the theory and practice of prayer, and 3) average students have an understanding of the theories and knowledge of Mahram.