Miracle-dz/UniFAR-FTUs huggingface dataset:
Spiritual well-being and coronary artery diseases severity: Mediating effects of anger rumination and worry

Objective: Biological and psychological factors contribute to coronary artery disease (CAD). The purpose of this study was to investigate the relationship between spiritual well-being and CAD severity and determine the mediating effects of anger rumination and worry on this relationship. Design: Descriptive, cross-sectional survey. Setting: Afshar Hospital in Yazd, Iran. Method: Participants were 327 patients with CAD (138 women, 189 men). Spiritual well-being, anger rumination, worry and CAD severity were measured using demographic and medical information questionnaires, the Spiritual Well-Being Scale, the Anger Rumination Scale, the Penn State Worry Questionnaire and Gensini method. Mediation analysis was conducted using the PROCESS macro. Results: CAD severity was negatively correlated with spiritual well-being (r = –.62, p < .01) and positively correlated with anger rumination (r = .58, p < .01) and worry (r = .33, p < .01). The relationship between spiritual well-being and CAD severity was mediated by anger rumination. The direct effect of spiritual well-being on CAD severity was statistically significant (β = –.06, 95% confidence interval [CI] [–.09, –.04]). We find a significant indirect effect of spiritual well-being on CAD severity through anger rumination (β = –.03, 95% CI [–.05, –.02]). Conclusion: These results highlight the potential benefits of spiritual well-being for patients with CAD to help them reduce anger rumination and, consequently, CAD severity.
Travelers’ Responsible Environmental Behavior towards Sustainable Coastal Tourism: An Empirical Investigation on Social Media User-Generated Content

There has been increasing interest in coastal tourism, sparking a debate on the responsible environmental behavior of travelers visiting sustainable destinations. To mitigate this issue, destination marketing organizations (DMOs) and environmental activists are trying to develop strategic approaches (i.e., by using digital technologies) to enhance the sustainable behavior of travelers. Environmental responsiveness and its impact on sustainable destinations is gaining attention by companies, scholars, and institutions. However, the relevant literature has not addressed social media user-generated content regarding sustainable destinations. Sharing stakeholder knowledge, activities, and experience on social media could accomplish this goal. Hence, this paper aims to explore travelers′ responsible environmental behavior towards coastal tourism within the social media user-generated content paradigm. To measure the effect of user-generated content (UGC), i.e., cognitive triggers and affective triggers, on the responsible environmental behavior of travelers, a survey questionnaire was used to collect data (n = 506) from the world’s longest sandy sea beach, Cox’s Bazar, located in the Southern part of Bangladesh. The data were examined by structural equation modeling (SEM). The results revealed that cognitive and affective triggers of user-generated content influence travelers’ environmental concerns and attitudes, making a significant contribution to shaping responsible environmental behavior. Additionally, the findings show that environmental concerns and attitudes play a significant role in producing commitment towards a sustainable coastal tourism practice. This study contributes to the effectiveness of user-generated content for persuasive interactions with destination marketing organizations to develop sustainable tourism practices.
Absorption Refrigeration Systems Based on Ammonia as Refrigerant Using Different Absorbents: Review and Applications

The interest in employing absorption refrigeration systems is usually related to electricity’s precariousness since these systems generally use thermal rejects for their activation. The application of these systems is closely linked to the concept of energy polygeneration, in which the energy demand to operate them is reduced, which represents their main advantage over the conventional vapor compression system. Currently, the solution pairs used in commercial absorption chillers are lithium bromide/water and ammonia/water. The latter pair has been used in air conditioning and industrial processes due to the ammonia operation’s low temperature. Few review papers on absorption chillers have been published, discussing the use of solar energy as the input source of the systems, the evolution of the absorption refrigeration cycles over the last decades, and promising alternatives to increase the performance of absorption refrigeration systems. There is a lack of consistent studies about designing requirements for absorption chillers, so an updated review covering recent advances and suggested solutions to improve the use and operation of those absorption refrigeration systems using different working fluids is relevant. Hence, this presents a review of the state-of-the-art of ammonia/absorbent based absorption refrigeration systems, considering the most relevant studies, describing the development of this equipment over the years. The most relevant studies in the open literature were collected to describe this equipment’s development over the years, including thermodynamic properties, commercial manufacturers, experimental and numerical studies, and the prototypes designed and tested in this area. The manuscript focuses on reviewing studies in absorption refrigeration systems that use ammonia and absorbents, such as water, lithium nitrate, and lithium nitrate plus water. As a horizon to the future, the uses of absorption systems should be rising due to the increasing values of the electricity, and the environmental impact of the synthetic refrigerant fluids used in mechanical refrigeration equipment. In this context, the idea for a new configuration absorption chiller is to be more efficient, pollutant free to the environment, activated by a heat substantiable source, such as solar, with low cost and compactness structure to attend the thermal needs (comfort thermal) for residences, private and public buildings, and even the industrial and health building sector (thermal processes). To conclude, future recommendations are presented to deal with the improvement of the refrigeration absorption chiller by using solar energy, alternative fluids, multiple-effects, and advanced and hybrid configurations to reach the best absorption chiller to attend to the thermal needs of the residential and industrial sector around the world.
Autologous serum therapy: a viable option for chronic spontaneous urticaria

Background: Chronic urticaria (CU) is a common disorder causing decrease in quality of life of patients with associated morbidity, chronic dependence on medications and a huge pill burden. CU is multifactorial and a subset of patients have an autoimmune background for their condition which is confirmed by a positive skin reaction to ASST. This study compared the efficacy of Autologous serum therapy in both ASST positive and ASST negative patients by evaluating total severity score (TSS). Methods: This quasi experimental study was conducted on fifty patients were selected randomly and withdrawn from antihistaminic use. ASST was done for all patients and AST was administered to all patients in both groups for 9 weeks. The patients were followed up at 4 weeks and 12 weeks after completion of AST. TSS measurements were used as baseline and recorded weekly after each injections till 9 weeks then 4th and 12th week after completion of therapy.Results: 50 patients were the study population. The median age was 34.7 years with a female predominance. 23 patients were ASST positive and the rest were negative. Following treatment, ASST positive group had 69% improvement in TSS and ASST negative group had 61.5% improvement in TSS. There was statistically significant differences following treatment compared to baseline and between the two groups.Conclusions: AST as an adjunctive treatment for chronic urticaria shows promise for patients irrespective of ASST positivity and is more effective for ASST positive patients.
A Study on Relationship Between Electronic Customer Relationship Management (E-CRM) and Customer Loyalty in the Banking Industry

The persistent and rapid evolution in Information and Communication Technologies (ICTs) has changed the banking industry's operations and services. To thrive in this dynamic market environment, banks have realized that they must implement E-CRM to enhance and improve the enduring relationship with their customers. E-CRM aids to boost the quality and efficacy of customer service. The paper investigates the impact of ECRM (measured by customized products/ services, transaction security/ privacy, alternative payment methods, problem-solving, online feedback, and FAQs) on customer loyalty in the banking industry. The data is collected using a questionnaire from the 300 customers (150 each from public and private sector banks) of Delhi/NCR who are using E-CRM services. The data is analyzed using an independent t-test and multiple regression analysis. The results reveal that all six dimensions of E-CRM have a significant positive relationship with customer loyalty. This empirical results of the study will have academic and managerial implications as they will contribute to the existing knowledge base and help E-CRM managers in the decision-making process. Improving E-CRM practices will thus turn out to be a strategic competitive strategy for banks to establish interactions with their customers.
Statistical Characteristics and Environmental Conditions of the Warm-Season Severe Convective Events over North China

Based on severe weather reports, surface precipitation observations, surface routine observations, and the European Center for Medium-Range Weather Forecasts ERA5 reanalysis dataset during the warm seasons (May–September) of 2011–2018 over North China, this paper analyzes the statistical characteristics and environmental conditions of three types of severe convective events. Results are compared between events with different altitudes (i.e., mountains and plains), severities (i.e., ordinary and significant), and months. Hail and thunderstorm high winds (THWs) are more common over the mountains whereas short-duration heavy rainfall (SDHR) is more frequent over the plains. The occurrence frequency of severe convective events exhibits distinct monthly and diurnal variations. Analyses of the environmental parameters provide reference for the potential forecasting of severe convective events over this region. Specifically, the 850–500 hPa temperature lapse rate (LR85), pseudo-equivalent potential temperature at 500 hPa (thetase500), and precipitable water (PW) are skillful in distinguishing hail and THW environments from SDHR environments, and thetase500 is useful in discriminating between hail and THW environments. The convective environments over the plains are characterized by significantly higher (lower) PW (LR85) compared with mountains. The skill of these parameters in forecasting the severity of the convective hazards is limited. Probability distributions in the two parameters space indicate that the occurrence of significant hail requires both higher most unstable convective available potential energy (MUCAPE) and stronger 0–6 km bulk wind shear (SHR6) compared with ordinary hail. Compared with ordinary THWs, the significant THWs over the mountains depend more on the SHR6 whereas those over the plains rely more on the MUCAPE. The significant SDHR events over the plains tend to occur under a variety of instability conditions. The thermodynamic parameters (i.e., MUCAPE, thetase500, and downdraft convective available potential energy), and PW are significantly higher in July–August, whereas the LR85 and vertical wind shear are apparently higher in May, June and September.
Modification fitness function of particle swarm optimization to improve the cluster centroid

Clustering is a classification technique. The clustering is brought to create models. The model is applied with the new input data to identify the class of that data. The goal of clustering is finding the best cluster centroid. The process of searching the best cluster centroid can use Particle Swarm Optimization. Many researches use it and obtain good results. But, searching the best cluster centroid by PSO suffers the problem from calculating the fitness function, because the fitness function is calculated by distances from the cluster centroid to all data inputs. These fitness functions may lead to the bad cluster centroid. So, this paper proposed the fitness function is calculated by the results from classification. The results from classification can lead to the good cluster centroid and create a good model to apply with the new input data. The proposed technique is tested on seven datasets from the UCI Machine Learning Repository and gives more satisfied search results in comparison with PSOs for the data clustering problems.
HUBUNGAN TINGKAT PENDIDIKAN DENGAN KEPATUHAN BEROBAT PENDERITA TB PARU DI WILAYAH KABUPATEN LAMONGAN PADA JANUARI 2016 – DESEMBER 2018

AbstrakLatar Belakang: Indonesia menduduki peringkat ke-3 jumlah penderita Tuberkulosis (TB) terbanyak di dunia, serta angka kematian TB setiap tahunnya sekitar 20% dari jumlah penderita TB baru. Pengobatan pada TB paru rentan untuk terjadi putus berobat (drop out) yang bisa disebabkan oleh beberapa faktor, salah satunya adalah kepatuhan dalam berobat. Ketidakpatuhan terhadap pengobatan dapat disebabkan oleh berbagai faktor meliputi faktor predisposisi (Usia, jenis kelamin, tingkat pendidikan, dan pekerjaan), faktor pendorong (efek dari OAT), dan faktor penguat (dukungan keluarga, petugas kesehatan dan pelayanan kesehatan). Tujuan: Studi ini dilakukan untuk mengetahui adanya hubungan antara tingkat pendidikan dengan kepatuhan berobat penderita TB paru di Wilayah Kabupaten Lamongan.Metode: Studi ini menggunakan desain cross sectional dengan teknik pengambilan sampel yaitu simple random sampling pada 55 pasien TB paru drop out serta 55 pasien TB paru sembuh dari tahun 2016-2018 di Wilayah Kabupaten Lamongan. Pengambilan data menggunakan rekam medis dari Dinas Kesehatan.Hasil: Hasil uji statistik menggunakan Koefisien Kontingensi terhadap hubungan tingkat pendidikan dan kepatuhan berobat pada pasien TB menunjukkan nilai yang signifikan p: 0,026 (p<0,05)Kesimpulan: Hasil penelitian ini menunjukkan adanya hubungan antara tingkat pendidikan dengan kepatuhan berobat penderita TB paru.Kata Kunci : Tuberkulosis paru, Tingkat pendidikan, Kepatuhan berobat Abstract: Background: Indonesia ranks 3rd in the number of tuberculosis (TB) cases in the world, and the annual TB mortality rate is around 20% of the number of new TB cases. Treatment of pulmonary TB is prone to drop out, which can be caused by several factors, one of which is adherence to treatment. Non-adherence to treatment can be caused by various factors, including predisposing factors (age, gender, education level, and occupation), driving factors (effects of OAT), and reinforcing factors (family support, health workers and health services). Aim: This study was conducted to determine the relationship between education level and compliance with pulmonary tuberculosis treatment in Lamongan Regency.Methods: This study used a cross sectional design with a simple random sampling technique of 55 pulmonary TB patients dropping out and 55 pulmonary TB patients recovering from 2016-2018 in Lamongan Regency. Retrieving data using medical records from the Health Office.Results: The results of statistical tests using the Contingency Coefficient on the relationship between education level and treatment compliance in TB patients showed a significant value of p: 0.026 (p <0.05). Conclusion: The results of this study indicate a relationship between the level of education and adherence to treatment of pulmonary TB patients.
Spatial Agglomeration Pattern and Driving Factors of Grain Production in China since the Reform and Opening Up

Since the reform and opening up, regional imbalances in the development of market economy and urbanization have significantly changed the spatial agglomeration pattern of grain production (GP) in China. To characterize GP by the yield, we used the gravity center (GC) and standard deviation ellipse (SDE) to investigate the evolution characteristics of the spatial agglomeration pattern of GP and its three major crops with wheat, maize and rice in China, then establish a spatial econometric model to explore the natural and socioeconomic drivers of GP at the national level, at different crops and at different regions. The research results indicate that the GC of GP gradually shifts and expands to the northeast and presents a spatial distribution pattern in a “northeast–southwest” direction. The GC of wheat production mainly expands upwards in the east–west direction. The GC of maize production shifts in a direction that is more consistent with grain production, and there is an expansion trend in the east–west direction, while the GC of rice production has the largest north–south span, and continues to expand upward to the north by the east. The status of grain production in Northeast China and Northwest China is rising and the importance of grain production in the Southeast coastal areas are decreasing. The importance of wheat and corn production in North China continues to strengthen, and Northeast China is becoming more important for rice production, but the middle and lower reaches of the Yangtze River are still important rice producing regions. Changes in GP with significant spatial dependence are jointly affected by many factors, such as natural and socio-economic factors, and there are obvious differences among different food crops and different division regions, with the most prominent positive effects being the multiple crop index (MCI), arable land per capita (AL) and agricultural mechanization (MECH), while economic growth and urbanization are significantly negative.
Improvement of small scale turbine performance: in West Aceh region using a clark-y type of turbine blades

This study aims to improve the performance of small scale wind turbines in the West Aceh region using a Clark-Y type turbine blade. Aceh Barat is one of the districts in Aceh province which is located at coordinates 04°06´ - 04°47´ NL and 95°52´ - 96°30´ EL and an area is located on the west coast of Aceh province bordering directly on the Indian Ocean, and one of the areas are worst affected by the tsunami disaster in 2004. The reference data shows that the potential of wind energy in the West Aceh region on average is quite varied, which is the lowest of 3.4 m/s to the highest speed of 5.8 m/s. The results of tests on the turbine blades before and after optimization provide increasing the ability of the turbine to produce energy and mechanical power. Based on the characteristics of the rotor rotation, the highest rotation data that occurs on the blades before the optimization is 316.6 rpm, and the highest rotor rotation on the blades after optimization is 361.3 rpm. Accordingly, there is an increase in turbine capability by 12.4%.
Biologically effective doses of 60-70Gy vs. >70Gy of stereotactic body radiotherapy (SBRT) combined with chemotherapy in locally advanced pancreatic cancer: protocol of a phase III study

Background: There is controversial on the correlation between biologically effective dose (BED, α/β=10) of stereotactic body radiation therapy (SBRT) and clinical outcomes of patients with locally advanced pancreatic cancer (LAPC). Therefore, the aim of the study is to compare the survival benefits of BED10 of 60-70Gy with those of BED10＞70Gy.Methods: This study is a multicenter study. Patients with LAPC are randomly allocated into two groups. Arm1: SBRT with BED10 of 60-70Gy in 5-6 fractions combined with gemcitabine plus albumin-bound paclitaxel; Arm2: SBRT with BED10＞70Gy in 5-6 fractions combined with gemcitabine plus albumin-bound paclitaxel. The primary outcome is progression-free survival (PFS). The secondary outcomes are radiation-induced gastrointestinal (GI) toxicity, local control (LC) and overall survival (OS). Discussion: The pilot phase Ⅲ study could provide evidence for further decision making of prescription doses of SBRT for LAPC, which may improve survival outcomes without compromise of quality of life. The trial protocol has been approved by the Ethics committee of Shanghai Changhai hospital. The ethics number is CHEC2020-100.Trial registration: Clinical trials number: NCT04603586. Date of registration: 10/27/2020.
Parenting Patterns and Their Implications for the Development of Early Childhood Social Attitudes

This study aims to analyze parenting patterns and their impact on the development of early childhood social attitudes. This research is qualitative research using a case study design in class B Raudhatul Athfal (RA) Al-Is Syah Hakim Medan, on Jl. Karya Jaya, North Sumatra. This study's primary informants are the parents of students who carry out their family environment care. Data collection techniques were using observation, interviews, and documentation. Data analysis was through stages developed by Miles and Huberman. Checking the validity of the user data was through the triangulation of sources and techniques. This study indicated that the parenting patterns of early childhood parents of Class B RA Al-Is Syah Hakim Medan consist of three styles, i.e., permissive, authoritarian, and democratic parenting. The most dominant style of parenting parents as permissive parenting. Permissive parenting pattern has implications for the tendency of children to have poor social attitudes. Authoritarian parenting pattern has consequences for the tendency of children to have anti-social attitudes. The style of democratic parenting has implications for the tendency of children to have prosocial attitudes.
Drought Characterization Over Periyar Vaigai Command Area in Tamil Nadu

India encountered numerous drought years in the decades. It is a matter of concern with increased frequency as well as intensity, mainly due to factors related to changing climate in recent years. In India livelihoods of more than 75% of the population are directly or indirectly dependent on agriculture sectors. The strong and recurrent link between drought and farmer's livelihoods has highlighted the importance to understand the drought scenario of a place for designing coping strategies. To address the issue, this paper was formulated to characterize the drought scenario over Periyar Vaigai Command (PVC) area. To summarize the results, the locations Edayapatti and Periaaruvi had the highest number of annual drought occurrence (8) while the location Madurai airport had the lowest (2) based on the analysis of 30 years. On comparing the monsoons, there are no wide variations in drought characteristics between Southwest monsoon (SWM) and Northeast monsoon (NEM). Anomalies in rainfall during the monsoon seasons were studied through SPI, consecutive drought years were well presented through SPI, which gives relevant information for Original Research Article Sathyamoorthy et al.; IJECC, 10(12): 498-510, 2020; Article no.IJECC. 63762 499 crop planning. In both the monsoons, the locations Viraganur, Pulipatti and Usilampatti witness consecutive droughts. The highest of three consecutive years (1999, 2000 and 2001) were witnessed in Usilampatti during the major NEM season.