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The problem of convective heat transfers of Eyring-Powell conveying Copper (Cu) coupled with alumina (Al2O3) are employed as the combination of particles, along with water as the base fluid over a vertical Riga plate is numerically addressed. The performance of heat transmission is influenced by the electromagnetohydrodynamic (EMHD) imposed produced from the Riga plate, and it could be used to postpone boundary layer separation. A model in the form of Partial Differential Equations (PDEs) is introduced to describe the physical behavior of the proposed problem. With the inclusion of relevant equation variables, this collection of PDEs is transformed into Ordinary Differential Equations (ODEs) which are in a less complex form. Then the bvp4c solver was employed to solve the respective equations. The characteristics of fluid velocity and temperature are investigated graphically. It is found the buoyancy assisting and opposing flows offered dual solutions whereas the purely forced convection flow gives a unique solution. Through an investigation of flow stability, the first solution is confirmed as the physical one. In essence, the volumetric concentration of Cu increases the heat-transferring ability for assisting and opposing flows. The higher suction imposed at the boundary causes a decrease in the heat transfer rate under the shrinking case.

Community structure is essential for topological analysis, function study, and pattern detection in complex networks. As establishing community structure in a dynamic network is difficult, it gives a unique perspective in many interdisciplinary fields. Many researchers have explored the challenging technique that requires parameter specification and optimization for quality result. This study proposed an eco-system conceptual framework based on bird flock effect. Relying on the natural law of rule, we designed a dynamic community detection named DCDBFE. The design of algorithm was based on the three basic rules of bird flock: separation, alignment, and cohesion phase. Then, we provide an explanation of similarity measure used between vertices to identify the modules attraction. DCDBFE employs an incremental community detection approach to repeatedly detect communities in each network snapshot or time step. The contributions are obtained for high quality community detected, free-parameter and well stability. To test its performance, extensive experiments were conducted on both synthetic and real-world networks. The outcomes demonstrate that our approach can effectively find satisfaction from each time step by comparison with the other well-known algorithms.

Abstract Background Tactical and technical errors in repair of pediatric forearm fractures can be associated with various complications including refractures. There are many questions regarding diagnosis (osteoreparation at the time of the occurrence) and in surgical treatment. The objective was to improve outcomes of pediatic forearm refractures treated with intramedullary osteosynthesis considering a osteoreparation period and the time of the occurrence. Material and methods There were 48 children with forearm refractures treated in the clinic between 2010 and 2020. The patients were divided into two groups. Patients of group 1 (n = 25) were treated with intramedullary osteosynthesis neglecting the regenerative process and the timing of refracture relative to the primary fracture. Patients of group 2 (n = 23) sustained a recurrent fracture at 6 months of early osteoregeneration with developing callosity. Re-fracture occurred in 19 (76.0 %) patients of group 1 including six children (24 %) with two or greater occurrences. Recurrence was observed in 16 (69.6 %) cases of group 2 including seven patients (30.4 %) who sustained more than two fractures. Results The timing of re-fractures, immobilization and gradual removal of fixation components can facilitate improved short- and long-term results of surgical treatment and prevent complications that were evident in 22 (95.6 %) children of group 2 with good results observed at 6 months. Discussion The calluses were replete with blood vessels indicating the normal regeneration for fractures that occurred at 6 months of the initial fracture. No vessels in the callus were seen after 6 months due to resorption of the bundles and poor fracture healing. Conclusion The outcome of re-consolidation would be dependent on the stage of bone regeneration at the time of forearm refracture. The regeneration process was more effective in the early stage of re-fracture.

This study evaluates the performance of three forecasting models—ARIMA, Prophet, and Glmnet—with the primary objective of equipping the telecommunication industry with effective tools for cellular traffic forecasting. These tools lay the foundation for efficient resource management, cost optimization, and enhanced service delivery. The study begins with dataset description and preparation, followed by the selection of traffic forecasting models, and concludes with performance evaluation based on metrics such as Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Symmetric Mean Absolute Percentage Error (SMAPE), Root Mean Squared Error (RMSE), and Coefficient of Determination (R²). The main contribution of this research is a comprehensive comparison of the three forecasting methods, aiding practitioners and researchers in identifying the best prediction model for specific contexts. The findings reveal that Glmnet consistently outperforms ARIMA and Prophet across all categories of traffic forecasting on the selected performance metrics. Its ability to handle complex data structures, manage multicollinearity, and deliver robust and accurate predictions makes it the preferred choice for forecasting cellular network traffic in the telecommunications domain. Doi: 10.28991/ESJ-2024-08-06-04 Full Text: PDF

Filtration is a method for controlling water pollution. This study aimed to engineer a filtration system using a combination of Melaleuca cajuputi (galam) wood charcoal and zeolite to process domestic wastewater. The research focused on domestic wastewater from Sungai Pinang Village, Samarinda, East Kalimantan, an area with significant water pollution issues. The samples were divided into three groups, each containing zeolite and galam wood charcoal in different ratios: Group 1 (1:1), Group 2 (1:2), and Group 3 (2:1). Each sample was exposed to contact times of 30, 60, and 90 minutes. Biological Oxygen Demand (BOD), Chemical Oxygen Demand (COD), Ammonia (NH3), and pH were measured for each treatment group at each contact time. Results showed that prolonged contact with the filtration method significantly reduced all parameters except pH (P0.05). Group 2 was found to be the most effective in improving water quality. In conclusion, this study demonstrates that the filtration method can reduce pollutant levels, with the combination of galam wood charcoal and zeolite in a 2:1 ratio being the most effective.

Abstract Background Utilising ultrasound technology has resulted in higher success and lower complication rates during regional anaesthesia (RA) procedures. Proper training is necessary to accurately identify structures, optimise images, and improve hand–eye coordination. Simulation training using immersive virtual environments and simulation models has enabled this competency training to be conducted safely before performing on patients. We conducted a study to compare the simulator performance and users’ feedback on a Blue Phantom Regional Anaesthesia Ultrasound Training Block and NeedleTrainer™. Methods Forty-seven participants were recruited via convenient sampling during a RA workshop for novice practitioners. They were divided into the N or B group and then crossover to experience using both Blue Phantom and NeedleTrainer model. Time-to-reach-target, first-pass success rate, and complication rate were assessed, while the learning and confidence scores were rated using six-item and three-item questionnaires, respectively, via a 5-point Likert scale. Results Blue Phantom model has a longer time-to-target as compared to the NeedleTrainer model (16 ± 8 vs 8 ± 3 s, p

Religious Moderation is a government initiative aimed at preventing religious-based social conflicts in Indonesia. While religion can bring peace, it has also been used to create divisions within the nation. The service provides education and assistance to prevent religious conflict in Gampong Jawa, Lhokseumawe, a village that is at risk of such conflicts due to tensions between residents who hold different religious beliefs. The program uses Participatory Action Research (PAR) by involving community participation and elements of the leadership of Gampong Jawa, Lhokseumawe, in resolving religious conflicts by strengthening Religious Moderation there. The results of the program include: (1) Increased tolerance and understanding in the community, (2) Resolving religious conflict with empathy and dignity, and (3) promoting awareness of brotherhood Gampong Jawa community, leading to peaceful coexistence despite having different religious views.

Masalah utama pasien kanker payudara dalam jangka panjang berkaitan dengan masalah psikososial dan gejala fisik khususnya efek samping dari terapi adjuvant sistemik/ kemoterapi pada kualitas hidup. Penelitian ini bertujuan untuk menilai kualitas hidup pasien kanker payudara di instalasi rawat jalan Rumah Sakit Kanker Dharmais Jakarta Barat dan mengevaluasi faktor-faktor yang mempengaruhi kualitas hidup pasien. Desain penelitian menggunakan studi kohort. Kualitas hidup pasien kanker payudara dinilai menggunakan kuesioner EORTC QLQ-BR23 dengan kategori baik, sedang, dan buruk. Faktor-faktor yang mempengaruhi kualitas hidup dianalisis menggunakan regresi linear. Hasil penelitian menunjukkan, kualitas hidup berdasarkan skala fungsional; untuk domain citra tubuh terkategori baik, fungsi seksual terkategori buruk, kenikmatan seksual dan pandangan masa depan terkategori sedang. Kualitas hidup berdasarkan skala gejala; pada domain efek terapi, gejala pada payudara, gejala pada lengan, dan gejala pada rambut termasuk kategori baik. Faktor-faktor yang mempengaruhi kualitas hidup adalah usia 50 tahun keatas, postmenopause, mastektomi, dan stadium lanjut (p

Manuscript-based religious moderation narratives remain rarely studied, although manuscripts contain valuable thoughts and experiences that can serve as models for developing religious moderation in the homeland, especially in modern education. There are three Borneo Malay manuscripts worthy of exploration in terms of their narratives: the Panji Salatin manuscript (1605-1635), the Hikayat Banjar Manuscript (1859), and the Pangeran Syarif Manuscript (1870). This research aims to explore the narrative forms and moderation values contained within them. Based on philological and historical approaches, it can be concluded that: a. The Borneo Malay manuscripts contain various narratives, namely: juridical narrative, historical narrative, and prose literary narrative. b. The Borneo Malay manuscripts contain principles and symbols of religious moderation, including: principles of equality and justice, principles of preservation and respect for local culture, principles of non-violence, cultural symbols, and language; c. The principles and symbols of religious moderation contained in the Borneo Malay Manuscripts provide important implications for the development of inclusive education today.

Emotional intelligence (EI) correlates highly with Academic Stress (AS). Given the significance of EI in education and the lack of research on Muslim students in Indonesia, this study explored the relationship between emotional intelligence (EI) and academic stress (AS) among STEM (Science, Technology, Engineering, and Mathematics) students in Islamic universities. Wong’s Emotional Intelligence Scale (WEIS) and Educational Stress Scale for Adolescents (ESSA) questionnaires were used to evaluate emotional intelligence and educational stress levels. Demographic characteristics such as gender and year of study were also considered. In this cross-sectional survey, 400 students were invited, and 363 completed it, resulting in a response rate of 90.8%. Of all the participants, 204 (56.2%) were female. According to the findings, female students had higher AS levels than male students, and fourth-year students had the lowest AS. The study also revealed a negative correlation between EI and AS, particularly in the male sample. The study suggested that EI and gender can be reliable predictors of lower AS. Therefore, including EI in the STEM education curriculum is recommended to reduce AS among Muslim students.

The urgent research on social vulnerability and climate change arises because of the complex impacts on society. Climate change increases social vulnerability and exacerbates social and economic inequalities. The main objective of this research is to identify trends, themes, and knowledge gaps from the global literature and consider policy recommendations based on the trends in the data obtained. The research method uses bibliometric analysis with the Scopus database as the primary data source, where 112 published documents were found. The findings of this study indicate that there has been increasing interest in research on social vulnerability and climate change over time. However, there are limitations in the geographic spread of research, particularly in Asia, highlighting the need for further research. On the other hand, although many research themes have received attention, the focus on disasters, poverty, livelihoods, women, and developing countries still needs to be expanded, demanding further research. These findings also initiate a policy recommendation emphasizing a holistic and sustainable approach. By strengthening community resilience, reducing social disparities, and increasing gender inclusion, this policy can potentially improve adaptation to climate change. Global solidarity and international cooperation are also essential to support developing countries in facing the impacts of climate change.

This research aims to find out how the policy and what are the obstacles faced by the Batam City KPU in handling voters affected by relocation on Rempang Island, Batam City in the 2024 General Election. Policy analysis in this study uses David Easton's theory. Meanwhile, the analysis of the policy's obstacles is generally described based on the data and research results. This research uses descriptive qualitative research methods. The data collection techniques in this research are observation, interviews, and documentation. Data analysis techniques in this study use data condensation, data presentation, and conclusion drawing. And data validity techniques using source triangulation techniques. The results of research and discussion can be seen as input in the form of demands not to shift TPS from the initial plan that received support from various parties at the sub-district level. Then converted in the internal KPU, resulting in the output of not shifting TPS by input from the community. After that, it gets feedback on the high participation of the community in exercising their voting rights. The policy of handling voters affected by relocation in Rempang Island, Batam City in the 2024 General Election is a policy that is more responsive and adaptive to the needs of the community. The resulting policy is not only effective but can also be adjusted based on feedback and changes in the external environment. The constraints faced, namely regulatory constraints, security constraints and administrative constraints.

This research discusses the use of Sirekap as a publication and recapitulation tool in the 2024 Election to support the transparency of election results in Asahan Regency. The research objective is to explain how information technology in recapitulation by the KPU can support transparent elections and analyze the weaknesses of the recapitulation information system for improvement. Using International IDEA's Pyramid of Trust concept, this research is descriptive and qualitative with data collected through interviews, documentation, and observation. Informants consisted of various related parties, a total of 12 informants. Data analysis includes reduction, presentation, condensation, and conclusion drawing. The results show that information technology in recapitulation does not fully support transparent elections in Asahan and needs further evaluation. However, public awareness of the publication of vote results has increased. The use of Sirekap requires improvement in terms of human resources, network/server, data accuracy, and information integrity.

This research is motivated by the registration of candidacy through individual channels which are required to use access through the Candidacy Information System (SILON). However, there are still many obstacles in the system starting from the location of implementation such as in Samosir Regency with network conditions that have not been evenly stable and problems with the system. This research aims to explain how the use of the nomination information system at the stage of registration of candidates through individual channels in Samosir Regency and analyze what are the obstacles in using the system. This research method is descriptive qualitative which presents the facts found comprehensively with data collection techniques through interviews, documentation, and observation. The results showed that the Samosir Regency KPU has implemented a nomination information system in the 2020 Regional Head election for individual candidates in the Samosir Regency by the technical instructions and stages specified. However, the use and workings of the system have not been optimal to support the efficiency and principles of the KPU with frequent system changes and environmental conditions that have not been supportive. In every process of use, it is necessary to evaluate policies in the nomination information system.

Background The incidence of injury worldwide remains high, with a global estimate of 6763 cases per 100,000 population (95 % confidence interval 6412–7147). Trauma to the limbs is a common injury to an individual anatomical area during multiple or combined trauma that accounts for 40 % to 85.2 % of cases. Assessment of the effectiveness of different fixation options and development of treatment algorithms are essential for patients with tibial fractures and multiple (combined) injuries. The objective was to determine how often temporary tibia fixation is applied for patients with multiple and combined injuries. Material and methods The original literature search was conducted on key resources including Scientific Electronic Library (www.elibrary.ru), the National Library of Medicine (www.pubmed.org), CyberLeninka between 2008 and 2023 using search words and phrases: tibial injuries, osteosynthesis of lower limbs, multiple injuries, combined injuries, temporary osteosynthesis of the tibial bones. Results and discussion A differentiated approach to the repair of bone fractures resulting from multiple and combined injuries is mostly common with the choice of fixation technique depending on the severity of injury and the severity of the patient’s condition. The definitive internal bone fixation is normally used for stable patients, “damage control” strategy is secured for borderline and severe cases using primary temporary external fixation followed by staged surgical intervention. There is no generally accepted strategy for the use of early mobilization of long bone fractures as a component of anti-shock measures in a polytrauma patient. Conclusion Certain issues remain unresolved, including the use of osteosynthesis for tibial fractures in some cohorts of patients, the optimal time of transition to definitive internal fixation, the possibility of using extrafocal osteosynthesis as a definitive treatment, the optimal configuration and assemblies to be employed. The lack of high-quality randomized controlled trials in this field is an important limitation.

Objectives The research aims to understand the challenges and opportunities in policy and programme convergence to accelerate interventions for reducing stunting at the district, subdistrict and the 10 focused villages.Design Data were collected through qualitative methods (in-depth interviews and document reviews), and then analysed using thematic processes with NVivo V.11 software, by QSR International The process included coding, categorising and linking to the eight implementation outcome variables (as determined themes), namely acceptability, adoption, appropriateness, feasibility, compliance, implementation cost, coverage and sustainability. The variables of convergence action policies were implemented differently by stakeholders at different layers of governance.Setting Pidie district, Aceh province, Indonesia.Participants 106 respondents from provincial to village levels were selected and interviewed, including leaders and policymakers (n=10); and convergence action implementers from the province to the villages (n=96).Results Stunting reduction policies were generally acceptable to local leaders and policymakers as a policy imperative. Implementation costs were considered sufficient by stakeholders, although focusing only on nutrition-specific interventions. However, in terms of adoption, feasibility, compliance, nutrition-sensitive intervention coverage and sustainability aspects were insufficiently implemented in all the focused villages due to inadequate collaboration between health and non-health sectors and limited experts.Conclusions This study offers key recommendations for policy and practice changes and considerations. The utilisation of methods and findings from this study in other areas in Indonesia or other low- and middle-income countries is important to explore more about the applicability, benefits and weaknesses of this study.

Abstract Low salinity water alternating immiscible gas CO2 (Immiscible CO2-LSWAG) injection is a popular technique for enhanced oil recovery (EOR) that combines the benefits of low salinity and immiscible CO2 flooding to increase and accelerate oil production. This approach modifies the displacement properties of the reservoir, resulting in higher sweep efficiency and greater oil production. The current study employs a combination of numerical and machine learning techniques to comprehensively investigate the performance of immiscible CO2-LSWAG injection in a sandstone reservoir. Furthermore, a detailed sensitivity analysis of various injection and reservoir parameters is conducted to gain deeper insights into their impact on the process. In order to predict the oil recovery factor (RF), the study employs 1000 experimental designs on initial oil-wet. The numerical simulation results indicate that immiscible CO2-LSWAG injection outperforms conventional immiscible CO2 and low salinity waterflood injection, resulting in a higher oil RF. The machine learning models of Catboost and LightGBM used in this study produced R2 scores higher than 0.95 with lower errors between the predicted and actual results. This indicates that machine learning models can provide a faster and more accurate alternative to numerical simulation. The sensitivity analysis results from the machine learning model reveal that the major contributing factors to oil RF are the chemical composition of the injected water and the injection rate. In summary, this study leverages machine learning for sensitivity analysis in immiscible CO2-LSWAG performance in oil-wet sandstone reservoirs. Key findings include the identification of top influencing parameters and high predictive accuracy of CatBoost and LightGBM algorithms. The results facilitate quick decision-making for field trials by focusing on major contributing factors, with future research suggested for broader applications.

Abstract Background The Jordanian healthcare system has evolved over the past decades expanding its services, technological, and educational resources. A comprehensive view of this system is lacking. The objective of this report is to describe the structure of the Jordanian healthcare system, the challenges facing it, and the current and recommended health policies. Materials and methods This study reviewed the current status of the Jordanian healthcare system. The following parameters were analyzed: health indicators, infrastructure, human resources, insurance system, pharmaceutical expense, health education system, and medical tourism. Data were collected from various relevant official institutions and related published literature. Results Jordan has a young population with a median age of 23.8 years. Life expectancy is 78.8 years for females and 77.0 years for males. The Jordanian healthcare system is divided into three major categories: (1) Governmental Insurance (i.e., the Ministry of Health (MOH), the Royal Medical Services (RMS) and semi-governmental insurance); (2) Private Insurance; and (3) Refugee Insurance, including the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA) and the United Nations High Commissioner for Refugees (NHUR). The Governmental Insurance covers 64.30% of the total population. Health expenditure is 6.37% of the gross domestic product (GDP). Pharmaceutical expenses make up 26.6% of the total national healthcare budget. Human resource assessment shows a high ratio of medical staff per 10.000 inhabitants, especially concerning physicians (31.7), dentists (7.9), and pharmacists (15.1). However, the ratio of nursing staff per 10.000 inhabitants is considered low (37.5). The Hospital bed/1000 population ratio is also relatively low (1.4). Healthcare accreditation is implemented through the Joint Commission International (JCI) accreditation which was achieved by 7 hospitals and by the National Health Care Accreditation Certificate (HCAC) achieved by 17 hospitals and 42 primary healthcare centers. Postgraduate medical education covers almost all medical and surgical fields. Medical tourism is currently well-established. Conclusions Assessment of the Jordanian healthcare system shows high ratios of physicians, dentists, and pharmacists but a low ratio of nursing staff per 10.000 inhabitants. The hospital bed/1000 population ratio is also relatively low. Pharmaceutical expenses are significantly high and medical tourism is well-developed.

The implementation of TQM to improve product quality does not only focus on systems and technology but also requires competent human resources such as leadership, technical competence, and organizational culture as users and controllers of systems and technology. This will have an impact on the company's operational performance which is expected to continue to increase. This research aims to analyze and test the influence of leadership, technical competence, and organizational culture on the implementation of Total Quality Management (TQM) and its impact on operational performance. The research method used is a descriptive statistical method with an explanatory type. The sampling technique was carried out in a proportional cluster, randomly sampling all ceramic workers in 4 different companies with a total of 368 respondents. The analysis technique used is Covariance- based Structural Equation Modeling (SEM) analysis, and the application used is Lisrel. The research results show that leadership directly influences the implementation of TQM to run well as 33,80%. Technical competition directly influences TQM at 21,10%. Organizational culture has a direct influence on TQM at 16,70%. Meanwhile, the impact of TQM is very influential and has a direct effect on the operational performance of the ceramic industry, so it can increase company profits.

Bacterial leaf blight (BLB), caused by Xanthomonas oryzae pv. oryzae (Xoo) is a significant disease attacking rice crops worldwide. This disease attacks at various stages of plant growth and causes significant yield loss. Breeding new varieties resistant to BLB is important to support sustainable agriculture in the future. This study aimed to identify new superior green super rice (GSR) lines resistant to BLB disease. The experiment evaluated the resistance of lowland rice lines obtained from anther culture using a factorial randomized complete block design. The 1st factor was genotype, consisting of 20 lines, 2 checks of commercial varieties (Inpari 42 Agritan GSR and Inpari 18), a resistant check (Conde), and a susceptible check (Taichung Native 1). The 2nd factor was BLB pathotypes (i.e., III, IV, and VIII). Quantitative data on disease severity and severity index were analyzed using analysis of variance and t-Dunnett test at 5% level. The results showed that the interaction between genotype and pathotype affected the disease severity and severity index in both growth phases. The tested lines exhibited varying resistance, from susceptible to resistant, to BLB. Four lines (SN 11, 13, 57, and 58) showed moderate to resistant criteria for BLB disease of 3 pathotypes in both growth phases. The selected lines can be used as a source of parents for breeders and candidates for new superior varieties with BLB resistance properties to support the reduction of synthetic chemical bactericide inputs and control BLB disease. However, further field evaluations are necessary to assess their performance.

Graves' disease (GD) is an autoimmune disease that affects the thyroid and the eyes. Graves' ophthalmopathy (GO), an autoimmune disease, usually appears 18 months after GD diagnosis. Clinical activity and disease severity determine the strategy, with steroid treatment recommended during active disease progression.

The cultural diversity of today's society must be reflected in the didactic proposals to be carried out in the classroom, also with regard to music education. This paper presents the results of a collaborative musical experience in which different fields related to music education have taken part. The study, which has been carried out from a qualitative approach, seeks to deepen the understanding of educational and social phenomena that can contribute to the transformation of teaching practice. The main results show the relevance of this type of projects to facilitate knowledge and reflection on the different educational and social problems from music education.

Latar belakang. Probiotik adalah mikroorganisme yang menguntungkan dalam pengobatan diare akut pada anak. Probiotik mengurangi frekuensi dan durasi diare dengan meningkatkan respon imun, produksi substansi antimikroba, menurunkan proses inflamasi, dan menghambat pertumbuhan kuman patogen penyebab diare. Pengukuran calprotectin feses sebagai penanda penyakit inflamasi pada diare akut merupakan metode noninvasif, cepat dan mudah. Tujuan. Penelitian ini bertujuan untuk mengetahui pengaruh probiotik terhadap kadar calprotectin feses dan durasi diare akut pada anak. Metode. Penelitian eksperimental dengan pendekatan pretest-posttest control group yang dilaksanakan di Puskesmas dan Rumah Sakit di kota Padang. Penelitian dimulai dari bulan Januari sampai Juni 2023. Populasi penelitian adalah pasien anak usia 2-60 bulan dengan diare akut yang memenuhi kriteria inklusi dan ekslusi. Terdapat 31 sampel kelompok kontrol yang mendapatkan terapi standar WHO dan 30 sampel kelompok kasus yang mendapatkan terapi standar WHO ditambah probiotik. Dilakukan pengamatan terhadap durasi diare akut dan kadar calprotectin feses. Hasil. Anak dengan usia >24 bulan lebih banyak pada kedua kelompok dengan sebagian besar kelompok dengan gizi baik. Rerata berat badan dan tinggi badan subjek pada kelompok kasus adalah 10,76 kg dan 82,6 cm, sedangkan kelompok kontrol adalah 10,15 kg dan 81 cm. Terdapat pemendekan durasi diare yang signifikan pada kelompok kasus dibandingkan kelompok kontrol adalah 10,32 (+6,35)jam (p-value =0,049). Terdapat perbedaan kadar calprotectin feses yang signifikan antara sebelum dan sesudah pemberian probiotik pada kelompok kasus (p-value =0,038). Kesimpulan. Pemberian probiotik dapat memperpendek rerata durasi diare akut dan menurunkan rerata kadar calprotectin feses secara bermakna. Pemberian probiotik ini dapat disarankan sebagai terapi adjuvan dalam tata laksana diare akut pada anak.

Background: The presence of anemia in pregnant women significantly affects the health of both mothers and their fetuses. Around 37% of pregnant women worldwide experience anemia. In the Community Health Center of Tanjung Sekayam, the prevalence of anemia in women at the third trimester of their pregnancy was notably high, at 50.4%. Objectives: This study aims to identify the risk factors for anemia in women at third trimester of pregnancy in the working area of the Community Health Center of Tanjung Sekayam Subdistrict, Sanggau Regency. Methods: This study was an observational research with a case-control design. The study population consisted of 153 women at third trimester of pregnancy, receiving antenatal care in the Community Health Center of Tanjung Sekayam. The samples included 62 respondents, selected through a simple random sampling, comprising of 31 cases and 31 controls. Data were collected using questionnaires and analyzed with the Chi-Square test to assess the factors associated with the occurrence of anemia. Results: There was a relation among maternal age (p=0.000; OR=22.9), interpregnancy interval (p=0.024; OR=6.9), parity (p=0.011; OR=2.2), nutritional status (chronic energy deficiency) (p=0.000; OR=11.3), compliance (p=0.021; OR=3.9), and knowledge (p=0.001; OR=8.2) and the prevalence of anemia in the third trimester. However, the family support did not show any significant relation. Conclusions: Maternal age, pregnancy interval, parity, nutritional status, compliance with iron tablet intake, and knowledge are related to the prevalence of anemia in third trimester of pregnancy. Family support did not show any significant relation with the incidence of anemia, possibly due to the limitations in measuring the family support itself and other factors, such as discomfort in consuming iron tablets and forgetfulness. More structured interventions and intensive education on the importance of iron and nutrition during the pregnancy are needed to reduce the risk of anemia.

This study analyzes the problem factors affecting Micro, Small, and Medium Enterprises (MSMEs) performance with social capital variables. The problems are related to developing MSMEs’ financial and non-financial performance and are considered inseparable from various internal and external influences. This research is a quantitative-qualitative research with primary data. The utilization of questionnaires and interviews as methods for data collection. The data analysis technique used was a statistical analysis based on partial least squares (PLS). The study’s results found that internal and external factors had a significant positive effect on the financial performance of MSMEs. The E-commerce factors and social capital significantly positively affected the financial performance of MSMEs. However, the colonial capital did not strengthen the relationship between internal variables, external, and E-commerce on the financial performance of MSMEs.

Introduction: Mammography is an X-ray technique used to take images of the breast. It is the primary diagnostic method for breast tumors. Breast imaging reporting and data system (BI-RADS) classification is needed to determine benign or malignant masses by accessing the mass's shape, margin, density, and other features. However, the tumor margin is the most helpful one. This study aimed to know the difference in the distribution of tumor margin types in each histopathological grading in breast cancer patients. Methods: This was an observational analytic study with a comparative approach using secondary data from medical records of patients with breast cancer at the radio diagnostic and anatomical pathology installation of Dr. Soetomo General Acadamic Hospital, Surabaya, from January 2017 to December 2021. All statistical data were performed using the International Business Machines Corporation (IBM) Statistical Package for Social Sciences (SPSS) version 27. Results: Out of 235 cases, the highest distribution of breast cancer patients’ age interval was 45-49 years old (20.9%), the primary tumor margin type was spiculated (64.3%), and the highest distribution of histopathological grading was grade 3 (53.2%). There was no significant difference between tumor margin and age of breast cancer patients (p = 0.815), with spiculated tumor margin as the most common type in all age intervals. There was no significant difference (p = 0.163) in the distribution of tumor margin types in each histopathological grading, with spiculated tumor margin as the most common type in every grade. Conclusion: There was no significant difference between tumor margin and age of breast cancer patients, and there was no significant difference between tumor margin and histopathological grading.

Although oil extraction is indispensable for meeting worldwide energy demands and ensuring industrial sustainability, various hazards are observed. Therefore, this study examined the chemical oil recovery-related environmental consequences concerning water, soil, ecosystem, and human health damages. A numerical analysis explored the mathematical model for oil extraction from unconventional sources by utilising 3D porous prism geometries under high-temperature conditions. This unique methodology utilised environmentally friendly TiO2-SiO2 hybrid nanoparticles, which were not previously investigated. The optimal conditions for oil extraction were then determined by simulations performed at 100 °C, 150 °C, and 200 °C for 2 h, 4 h, 8 h, and 12 h. This study also explored the optimisation of recovery rates by analysing several variables using ANSYS Fluent software, such as flow rate, porosity, and volume fraction. Consequently, these green TiO2-SiO2 nanoparticles presented an oil recovery rate that was 28 % and 6 % higher than water-flooding and conventional monofluid injection techniques, respectively. This outcome suggested that these TiO2-SiO2 nanoparticles could enhance efficiency and minimise environmental damage.

This paper presents a ground-breaking design for a multigeneration system capable of simultaneously producing electricity, hydrogen, and cooling loads. This research advances sustainable energy systems by introducing an innovative design that optimally utilizes waste heat and integrates biomass gasification with advanced thermodynamic cycles. It also provides a model for future studies on carbon emission reduction and improved efficiency. The proposed system effectively harnesses waste heat from the Brayton cycle to drive the supercritical carbon dioxide cycle, steam Rankine cycle, absorption refrigeration, and proton exchange membrane electrolyzer. This approach improves overall efficiency and offers a promising solution for integrated energy generation. Additionally, employing the sCO2 cycle provides high thermal efficiency, cost-effectiveness, and lower environmental impacts compared to traditional power generation methods. Extensive evaluations, including techno-economic and environmental analyses, confirm the system's practicality and potential for future commercial application. Additionally, a parametric investigation of five essential design parameters provides important insights into the system's performance and flexibility. Analysing the proposed system determined that the gasifier-Bryton unit has the highest irreversibility and cost rate among other subsystems. A novel approach combining artificial neural networks (ANN) with a non-dominated sorting genetic algorithm II (NSGA-II) has been developed to optimize the system, substantially reducing computational time and costs associated with system performance analysis. According to the three-objective optimization, the system in the optimal operating mode provides 45.89 kg/h of hydrogen with an exergy efficiency of 33.15 % and a total cost rate of 159.5 $/h. After the optimization process, significant achievements have been observed, including a 5.02 % improvement in exergy efficiency, an increase of 7.29 kg/h of hydrogen production, and a decrease of 0.1 ton/MW in the CO2 emission index.

The 0.6% contribution of the forestry sector to GDP is considered very low despite 64.1% of Indonesia's land area being allocated as forests. Most of the 64.8% production forest allocated is not yet optimized for strengthening national food security, in which Indonesia is ranked 65th in the world. Therefore, an innovative forest management system is needed to synergize timber and non-timber production. This paper presents a multi-business forestry (Mb-F) implementation strategy analyzed through a dynamic system-based multi-criterion decision-making tool named Super Model Mb-F (SM Mb-F). SM Mb-F is built based on a causal loop diagram (CLD), which describes the dynamic relationship between land typology suitability and decisions related to the type of business, commodities, land use area, workload, and financing for many variables relating to 5M business principles and sustainability. Results showed that CLD formulated in 280 sub-models in a total of 4,764 decision variables with an error deviation of 6.4%. The SM Mb-F simulation on two sample concession units produces a projected increase in wood supply, employment, and state revenue, plus the provision of new functions such as food, NTFP, and environmental services. These benefits are obtained by business feasibility. Assuming that gradually until 2030, the Mb-F can be implemented in 32% of Indonesia's production forests, then by 2045, it is projected that there will be an increase in wood production by 296.8%, state revenue by 654.3%, and labor absorption by 985.7%, as well as adding food production up to 19.36 M tons. This is because the land use efficiency of the current operation of forest concessions following the Annual Allowable Cut (AAC) under the selective cutting and replanting system in Indonesia (TPTI) is only about 3% of the total area of forest concession. Assuming the cutting cycle is 35 years, timber could be extracted in 1/35 of the total forest concession area. Implementing Mb-F will significantly improve the land use efficiency from about 3% to 90%. The Mb-F will also restrain the rate of decline in carbon stocks, which is deeper if governance is still under the BAU scenario. This research suggests further global research, emphasizing the importance of innovative models for sustainable forestry governance and food security worldwide.

Gyrinops versteegii and Aquilaria malaccensis are two important species of the Aquilarieae tribe. The main problem of this tribe is the challenge of species identification that is strongly dependent on the presence of flowers and fruit, which are not always available. The availability of whole genome information is expected to address the problems of species identification. This research aims to construct and compare the chloroplast and mitochondrial genomes of G. versteegii and A. malaccensis from short-read data using the NOVOplasty and GetOrganelle assembler. The chloroplast genome assembly revealed a full-length quadripartite circular structure with sizes of 174.814 bp (G. versteegii) and 174.821–174.822 bp (A. malaccensis), with highly conserved gene and organization. Meanwhile, the mitochondrial genome is multipartite with a size of 400.012 bp (G. versteegii) and 400.000 bp (A. malaccensis), with highly variable genes and organization due to the presence of gene cluster repeats. The LSC/IR/SCC region borders and phylogenetic analysis in chloroplasts indicate variations between the genomes of these two species. The investigation of nucleotide diversity in the chloroplast genome revealed that the trnL-rpl32 region had the highest nucleotide diversity (Pi = 0.03). This information will be useful in the future for a variety of downstream analyses.

The study of boundary layer flow (BLF) with heat-mass transfer of binary chemical processes and nanofluids (NF) over a wedge is essential for improving heat transfer and reaction kinetics in applications including processing of material technologies, chemical reactors, and energy-efficient cooling mechanisms. This paper examines the entropy optimized BLF of silver Ag− water based nanofluid with binary chemical species over a wedge surface. The Tiwari-Das model is executed in this model which account the load of Ag− nanomaterials. The flow of NF over a moving wedge subject to favorable and adverse pressure differential is addressed by Naiver-Stokes equation. This model accounts the homogeneous heat reaction, viscous dissipation, joule heating and thermal radiations. The dimensionless equations for flow, for heat, and concentration are formulated and solved numerically using the fourth ordered Rung-Kutta approach. The findings suggest that fluid concentration is lowered with a rise in Schmidt number and homogenous chemical reaction. Thermal distribution improve with heterogonous reaction, magnetic parameter and deteriorate with wedge parameter. The skin friction rises from 25.277 % to 26.455 % with a material load of 3 % and magnetic parameter. The Nusselt decline with a radiative parameter from 10.984 % to 2.9748 % when particle load of 3 % is accounted.

Heat transfer technology is quickly increasing as a result of the demand for well-organised heating and cooling systems (HGS and CGS) in the necessary chemical, automotive, and aerospace sectors. Thus, the current study aims to observe mixed convective flow of a Williamson fluid near the stagnation point in the presence of hybrid nanoparticles (Al2O3 and Cu) across a vertical flat plate with the Hall effect. The water-based alumina (Al2O3) and copper (Cu) nanoparticles that have been convectively heated are evaluated for their suitability in industry. The primary equations are non-dimensionalized employing the relevant similarity factors before being solved numerically by the bvp4c solver in MATLAB software. We examine the impacts of several pertinent parameters on transverse and axial velocities, drag force, temperature, and heat transfer. In the case of opposing flow, two different outputs are obtained, whereas just one is procured in the case of assisting flow. The impact of Lorentz force can also be used to alter the flow and physical properties of heat transfer.

This article presents a wideband metamaterial absorber (WMMA) for the visible and near-infrared (NIR) region application. The proposed metamaterial absorber comprises three layers of sandwiched (metal-dielectric-metal) model based on Nickel-Polyamide-Nickel. The multiple resonators on top layers achieve an average absorption of 98.16% over a range from 380 to 2300 nm with a compact unit cell size of 100 × 100 × 42 nm3. The designed WMMA shows 99% perfect absorption for a large bandwidth of 685 nm. Considering its wideband absorption, the physical absorption phenomenon was also explained in terms of the proposed WMMA's surface electric field, magnetic field, and current distribution. Also, the effects of materials and structural parameters on absorption performance with a FOM have been studied. The absorption performance is analysed with various polarization angles to demonstrate polarization insensitivity. The designed WMMA shows the absorption of >70% at large incident angles of 70°. The perceptible contribution of this WMMA is large unity absorption bandwidth at visible to NIR region with high incident angle stability, polarisation insensitivity, thermal robustness of the constituting metal and simple nanostructure geometry. Therefore, the proposed WMMA has good potential in sensors, thermal emitters, photodetectors, and absorber applications.

AbstractThe study explores the impact of family versus non-family CEO management in Indonesian family companies on Corporate Governance (CG), Earnings Management (EM), and Tax Avoidance (TA). It examines if family-managed firms are more prone to EM than those with non-family CEOs, and considers TA as a mediator in the CG-EM relationship. This research is significant for understanding the dynamics of CG, EM, and TA within the unique context of Indonesian family businesses. It analyses how the leadership style of family CEOs, as opposed to non-family CEOs, influences these aspects. Based on the sample of the 117 family companies from 2018 to 2021, it has been found that tax avoidance partially mediates the relationship between corporate governance and earnings management in the full sample, family companies managed by family CEOs and family companies managed by non-family CEOs. Further, the results reveal that non-family CEO managed companies tend to exhibit lower levels of EM compared to those led by family CEOs. These findings contribute to the understanding of the dynamics of CG, EM and TA, and the leadership styles of family versus non-family CEOs. They also provide practical insights for policymakers and business practitioners in Indonesia, emphasizing the unique challenges and opportunities in family-run enterprises.

Aquaponics is a sustainable food production technology combining the tripartite relationship between fish, plants, and microorganisms. This study discusses the diversity and characteristics of bacteria communities in different aquaponic system compartments. Samples from red onion hydroponic compartment and koi biological filters were collected and analyzed for their bacterial community structure. Gene sequencing with high throughput 16S rRNA is used to analyze bacterial communities. Hydroponic compartments had significantly more bacterial communities than koi biological filters. The most dominant phylum in the hydroponic compartment is Proteobacteria (α, β, γ), Bacteroidota, Firmicutes, Planctomycetota, Cyanobacteria, and Actinobacteria. While in the biological filter are Bacteroidota, β-Proteobacteria, and Actinobacteria. The bacterial community in the hydroponic compartment showed significant specificity compared to the bacterial community in the biological filter. We also systematically describe bacterial communities in hydroponic compartments and biological filters and estimate their relevant functions in biological filtration of water. These results provide new insights into bacterial communities’ role in the hydroponic compartment for red onion growth as well as bacterial communities in the biofilter that act as bioremediation agents on water quality that affect the growth and survival of koi. However, it would be required a deeper analysis to identify its specific roles in aquaponics.

The integration of artificial intelligence (AI) technologies in educational settings has become increasingly prevalent, particularly in the realm of language learning In English context. This study aims to investigate the utilization of ChatGPT, an AI-powered conversational agent, in enhancing academic writing skills among Indonesian higher education students, specifically in the context of English language learning. Through a mixed-methods approach, including surveys and qualitative analysis of student writings, this research explores the effectiveness and impact of ChatGPT in assisting students with their academic writing tasks. he research findings indicate that ChatGPT is predominantly utilized in completing academic tasks, particularly in composing scholarly papers. Furthermore, Chat GPT is perceived as user-friendly with a high level of accuracy in locating relevant literature for assignments. The findings of this study contribute to the growing body of literature on AI integration in education and provide insights into the practical implications of using Chat GPT as a learning tool in English language education

HIGHLIGHTS 1. Acquired uterine arteriovenous malformation (AVM) is an uncommon sequela of cesarean section, warranting consideration in instances of persistent uterine bleeding in the puerperium. 2. Embolization represents a viable and well-established treatment modality for AVM, providing a safe and efficacious intervention that serves as an alternative, less invasive modality for patients desiring fertility preservation. ABSTRACT Objectives: To demonstrate that embolization is a viable and well-established treatment for acquired arteriovenous malformations (AVMs), offering a safe and effective, less invasive option for patients seeking to preserve fertility. Case Report: A 20-year-old female experiencing recurrent massive bleeding with a history of previous caesarean section and wound infection resuturing. The transvaginal color Doppler ultrasound showed a hypervascularity in the uterus around the surgical lesion, suggesting a uterine AVM and its confirmed by angiography. The patient underwent a series of uterine artery embolization interventions, which proved to be a successful therapeutic approach. As a result of this treatment modality, not only was the patient's condition effectively resolved, but her fertility was also preserved. Conclusion: Acquired uterine arteriovenous malformation (AVM) is an uncommon sequela of cesarean section, warranting consideration in instances of persistent uterine bleeding in the puerperium. Embolization represents a viable and well-established treatment modality for AVM, providing a safe and efficacious intervention that serves as an alternative, less invasive modality for patients desiring fertility preservation.

Background. Central third of the patellar tendon is a well know graft for anterior cruciate ligament (ACL) reconstruction. However, it’s usage can be difficult in case of long patella tendon, which causes graft length discrepancy. The aim of this article is to evaluate the results of arthroscopic anterior cruciate ligament reconstruction with a help of original method of bone patella tendon bone graft preparation. Methods. 26 males operated for ACL tear have been included in the study. On the preoperative MRI scans the approximate length of ACL, tibial tunnel, patella tendon length and tibial bone plug length have been measured. The technique of tibial bone plug cut was optimized based on preoperative MRI assessment. Results. In all cases, MRI-based assessments were consistent with intraoperative measurements, hence there was possible to avoid graft length discrepancy. In a period of 12 weeks the average score on the step-and-holds test was 23.8±1.1, the single-leg squat test was 6.7±0.9 and the Y-balance test was 83.2±1.4. The average IKDS score was 64.9±5.7. Conclusion. The proposed method is appropriate for anterior cruciate ligament reconstruction in patients with long patella tendon.

Frequently, laptop users forget to disconnect or connect the power supply adapter when the battery needs to be charged or fully charged due to they are too focused on using the laptop. This condition can cause problem with laptop batteries and one of which is overcharging. Thus, keeping the laptop battery healthy is advantageous and one of them is to make it last longer. In addition, when the battery is faulty, the replacement of it also requires a lot of money. To deal with this condition, it is necessary to have a design tool that can automatically cut off the AC voltage on the laptop power supply adapter which will be equipped with software. This current research employed development research method and aimed to create a tool comprising hardware and software that could cut off the AC voltage to the laptop power supply adapter automatically based on the laptop battery percentage status.

Introduction: The tendon graft option in revision surgery for anterior cruciate ligament re-tear still represents a debatable subject, regarding which is the best. As a primary option, the peroneus longus tendon (PLT) auto graft used in the reconstruction of the anterior cruciate ligament has been reported with success in many studies, but there are few reports about the uses of PLT in revision surgeries. This study aimed to assess the functional result of PLT autograft in revision ACL surgeries. Methods: A retrospective study was done on 16 young male patients, who underwent revision surgeries for ACL re-tear, using double or triple folded full thickness peroneus longus tendon autograft graft, functional results of the knee and ankle using Lysholm score and American orthopaedic foot and ankle disability index, evaluated after two years of surgeries. Results: After two years of surgery, the Lysholm score was good – an excellent result in 11 patients (73.33%), fair-good in 3 patients (20%) and poor in one patient only (6.66%). American foot and ankle score was 100 in 14 patients and 95 only in one patient. Conclusion: It has been concluded that PLT auto graft, represents a good graft option in revision ACL surgeries with no or little donor site morbidity.

This study examined the acquisition of Islamic values in an Islamic primary school using a logic model-based evaluative approach to assess input, output, and outcome dimensions. The research aimed to evaluate the effectiveness of educational practices in promoting Islamic values among students. Data were gathered through interviews, observation, and documentation, and were analyzed through iterative stages of collection, reduction, display, and conclusion. Findings indicate that the structural input for Islamic values learning involves coordinated efforts among various school departments. The school's cultural climate excels in academic, communal, security, and institutional areas. The output is reflected in diverse activities such as morning murâja’ah sessions, Quran reading and writing guidance using the Ummi method, congregational prayers, and rituals like Clean Friday and Blessed Friday. These activities lead to outcomes that foster individual piety, integrity, discipline, honesty, responsibility, creativity, and social consciousness among students. The study underscores the importance of instilling Islamic values from an early age, highlighting its potential to foster lifelong adherence to these principles. In conclusion, the research affirms the efficacy of these educational practices in transmitting Islamic values, emphasizing the pivotal role of primary education in cultivating a deep-rooted commitment to these values for the future.

Utilizing of 5G technology has become a major focus in the development of more advanced and efficient telecommunications networks. In this context, 5G coverage prediction becomes an important aspect in network planning to ensure optimal user experience. In this study, we explore the use of Random Forest algorithm to predict 5G coverage, with special emphasis on the hyperparameter optimization process to improve model performance. We conduct experiments with various hyperparameter combinations, including 'max_depth', 'max_features', 'min_samples_leaf', 'min_samples_split', and 'n_estimators', using hyperparameter optimization techniques. The results show that by paying attention to the optimal combination of hyperparameters, we managed to significantly improve the performance of the model. The optimized model produces a Minimum Root Mean Squared Error (RMSE) of 0.6, which is much better than the Random Forest model without hyperparameter optimization which has an RMSE of 1.14. The result of this study confirms the importance of the hyperparameter optimization process in improving the accuracy and consistency of the Random Forest model for 5G coverage prediction. The results have important implications in supporting the development of a successful 5G network infrastructure in the future.

The performance of Power Domain Non-Orthogonal Multiple Access (PD-NOMA) is affected by the performance of Successive Interference Cancellation (SIC) in decoding user data. The large number of users will cause error propagation in SIC, which results in decreased SIC performance. This research aims to optimize the performance of SIC in PD-NOMA by applying spatial concepts to classify users. This research applies various supervised machine learning classification algorithms, including Decision Tree, K-Nearest Neighbors (K-NN), Support Vector Machine (SVM), Random Forest, Logistic Regression, and Naive Bayes. The experimental results show that Random Forest achieves the highest accuracy in classifying users, followed by Decision Tree. In addition, in performance measurement using ROC (Receiver Operating characteristic) and AUC (Area under the Curve) curves, the Random Forest method achieved the best results. In terms of experimentation process time, a decision tree has a faster time compared to a random forest. Overall, the Random Forest algorithm is suitable for the task of user clustering in the context of PD-NOMA, which utilizes the spatial concept from user to base station (BS).

The lack of attention given in scholarly research to the particular requirements of Public Administration has resulted in a knowledge deficit to suit students' interests in this discipline. Prior research has predominantly examined the quantitative dimensions of vocabulary acquisition while neglecting to adequately consider the qualitative aspects, including comprehension and language use, in a contextually appropriate manner. This study aims to fill in these knowledge deficits by investigating vocabulary themes or topics related to Public Administration, evaluating existing instructional approaches and challenges, and suggesting enhancements to bolster students' English language proficiency in Public Administration. The study employs a qualitative methodology, including an open-ended questionnaire and in-depth interviews with four lecturers and 100 first-year students from three universities in South Sulawesi, Indonesia. The findings revealed that the English for Public Administration curriculum requires a diverse vocabulary of topics from administration, management, and governance to more nuanced areas such as economics, finance, taxation, social and ethics, technology and digitalization, leadership, and regulation and law. Various teaching and assessment strategies regarding instructional methods, including interactive and collaborative methods, technology integration, and contextual learning, suggest the importance of engaging students with diverse and practically relevant content to prepare them for the multifarious nature of public sector roles. Students, however, found some challenges in the complexity of the Public Administration vocabulary, highlighting the need for tailoring educational strategies, such as project-based learning and vocabulary reinforcement techniques, to overcome these obstacles. The study's findings have substantial implications for policymakers, curriculum developers, and lecturers specializing in public administration education.

Indeed, nanoliquids have acquired substantial consideration in heat transference field because of their inimitable thermal attributes and favorable application likelihoods. In contrast to orthodox liquids, the haphazard movement of nanoparticles within nanoliquid strengthens fluid turbulence, accomplishes superior thermal effectiveness and declines thermal resistance. Nanoliquids have ample utilization, for illustration, solar energy, electronic chips, automotive radiators and heat exchangers etc. This communication reports chemically reactive electro-magnetized nanomaterial dissipative flow confined by rotating cone. Flow expressions include thermo-solutal buoyancy, varying viscosity and magneto-hydrodynamics. Radiative heat, thermophoresis, viscous dissipation, Brownian diffusion, thermal source and first order chemical reaction are pondered to model transport expressions. Relevant variables are introduced to transfigure partial differential mathematical expressions to mathematical ordinary ones. Numerical outcomes for non-dimensional mathematical expressions are reported via bvp4c algorithm in MATLAB. The comprehensive results featuring dimensionless quantities are explored through graphs and arithmetic representations. It is evaluated that escalating values of variable viscosity, Prandtl number and unsteady parameter decline temperature but temperature is improved as a consequence of progressive variation in radiation parameter, Eckert number, thermophoresis parameter, heat generating and Brownian diffusive variables. The study is relevant to cooling industry, electroconductive, thermal collector and nano-materials processing.

The current study aims at modeling the solubility of anti-cancer agents in supercritical carbon dioxide (SC-CO2). An extensive databank, including 893 measured samples for 33 anti-cancer agents were collected from the literature, covering extensive ranges of operating conditions. Eight density-based empirical models were firstly employed to correlate the collected data. After adjusting their constant coefficients, four of them provided satisfactory estimations, with total average absolute relative errors (AAREs) below 10 %. A novel six-parameter empirical correlation was also proposed, with input factors optimized based on the Pearson coefficient analysis. This correlation produced satisfactory results for the analyzed drugs, achieving a total AARE of 7.71 %. Afterward, a generalized and unified model was built using the intelligent method of gaussian process regression (GPR). For the testing data, this model showed excellent results with AARE and R2 values of 2.90 % and 99.87 %, respectively. Furthermore, its estimations for all anti-cancer agents outperformed the empirical correlations significantly. Both empirical and intelligent models accurately described the physical behavior of anti-cancer agents’ solubility in SC-CO2 under various conditions. Subsequently, the most effective factors on the performances of the models were recognized through a sensitivity analysis.

This paper presents a novel solar-powered multi-generation system (MGS) integrated with a fuel cell, designed to enhance both sustainability and operational reliability. A significant limitation of solar energy is its intermittency, as sunlight is only available during specific hours of the day. To address this constraint, hydrogen energy is incorporated into the system to facilitate continuous operation through the fuel cell. The proposed MGS efficiently utilizes waste heat recovery cycles to simultaneously produce electricity, fresh water, cooling, and heating. The system consists of parabolic trough solar collectors, a steam Rankine cycle, an organic Rankine cycle, an absorption chiller, a reverse osmosis desalination unit, and a fuel cell coupled with an organic Rankine cycle-thermoelectric generator. Upon validating the primary components, the system is thoroughly evaluated in terms of energy, exergy, and economic performance, and a parametric study is conducted to assess the influence of key operational parameters. The analysis identifies the solar cycle as having the highest irreversibility, accounting for 55.2 %, and the highest cost rate, contributing 44.1 % among the subsystems. To optimize the system's performance, an artificial neural network is integrated with a multi-objective particle swarm optimization algorithm to reduce computational time from approximately 16 h to 4 min. Finally, under optimal conditions, the system achieves an exergy efficiency of 31.69 %, freshwater production of 19.53 kg/s, cooling production of 441.6 kW, and a total cost rate of $87.2/h.

The purpose of this study is to investigate the influential factors on behavioral intentions toward Islamic fintech use among Micro, Small and Medium Enterprises in Indonesia. The author adds a new research model about intention to use in the form of Technology Acceptance Model, Knowledge of Sharia Prohibition, Word of Mouth and Trust which has not been used in other studies. This research utilized a quantitative approach, an online survey was distributed to 350 MSMEs owners. The data collected from the participants were subjected to Structural Equations Modeling-Partial Least Squares (SEM-PLS) analysis, enabling a thorough examination of the variables under investigation. The results show that the variable of word of mouth and perceived ease of use have positive and significant impact on perceived usefulness. In addition, the variable of trust and perceived usefulness influence attitude significantly. This study also indicates that attitude affects intention to use Islamic fintech significantly. Then, the Attitude mediates the relationship between perceived usefulness and trust and Intention to use Islamic fintech. The findings of this study will be useful for policy makers and managers of Islamic fintech companies because it can help them find out the factors that drive intention to use Islamic fintech services.

The selection of tree species suitable for restoration in diverse site conditions is still a challenge. Therefore, this study aimed to analyze the phenotypic and genetic characteristics of Dryobalanops aromatica seedlings growing in mineral soil media and peat media. Phenotypic characteristics were evaluated by analyzing the growth performance, leaf morphological characteristics, leaf color, and chlorophyll content, while genetic characteristics were evaluated by using microsatellite markers. The study revealed that seedlings planted in peat media exhibited greater height and shoot length growth, although the difference was not statistically significant compared to those in mineral soil media. However, seedlings in mineral soil media displayed a significantly higher survival rate than those in peat media. Peat-grown seedlings had higher chlorophyll content in their leaves, while mineral soil-grown seedlings displayed a lighter green leaf color based on digital analysis. Genetic analysis indicated a high genetic diversity of overall D. aromatica seedlings (He = 0.635) and unclear genetic structure between the two media. Overall, these findings demonstrate the successful adaptation of D. aromatica seedlings to peat media, positioning them as a promising choice for peatland restoration.