Miracle-dz/UniFAR-FTUs huggingface dataset:
Past Experience and Willingness to Pay: A Comparative Examination of Destination Loyalty in Two National Parks, China

The long-term sustainability of China’s national parks depends on the appropriate use and management of park resources and the provision of positive experience opportunities for tourists. While past experience, in terms of frequency of visits to the same destination and behavioral intention measured as willingness to revisit/recommend, have been extensively examined in a typical destination loyalty model using structural equation modeling (SEM), past experience with other destinations and willingness to pay (WTP), another form of behavioral intention, have received less attention from researchers. This paper, for the first time, simultaneously examined these two types of past experience and WTP using both second-order and first-order SEMs, based on data collected from two national parks in China. Results show that, while frequency of visits had no significant impacts on attribute satisfaction (AS) nor on overall satisfaction (OS), previous experience with other destinations significantly influenced AS, which, in turn, significantly predicted OS. While OS significantly and consistently predicted visitors’ intentions to revisit/recommend for both samples, its impact on WTP was significant for one sample, but not for the other. This suggests that asymmetric beliefs in destination loyalty may exist, depending on how and where behavioral intention was measured. The study endorses norm theory in studying destination satisfaction.
Joint Power Allocation and Hybrid Beamforming for Downlink mmWave-NOMA Systems

This paper investigates the application of nonorthogonal multiple access (NOMA) in millimeter-Wave (mmWave) communications to address resource allocation issues for multiuser downlink transmission. Inspired by the K-means clustering algorithm, a NOMA user grouping policy is first employed in accordance with the channel correlation between users. The first-stage decoding order for each NOMA group is then determined by merely utilizing the users’ channel gain to formulate a joint power allocation and hybrid beamforming optimization problem. Specifically, we use signal-to-leakage-plus-noise ratio (SLNR) as the performance index of the optimization problem to reduce the computational complexity, because it can decouple the design of the beamforming and power allocation issues so they can be executed iteratively. Under given beamforming matrix, the power allocation issue is expressed as a quadratic programming (QP) problem, and then transformed into a convex problem by introducing an auxiliary-positive real variable to solve through the Lagrange multiplier method. On the contrary, the beamforming optimization problem is non-convex and very difficult to solve due to the constant modulus constraints in the hybrid architecture. However, the optimum solution of the ideal full-digital beamforming can be acquired primarily by generalized eigenvalue decomposition (GED). In this condition, two hybrid beamforming algorithms are proposed, in which normalized phase matching and equal gain transmission are performed respectively in the analog domain. On this basis, a second-stage decoding order can be employed according to the effective channel gain of users to perform successive interference cancellation (SIC) successfully. Numerical results show that the proposed joint power allocation and hybrid beamforming algorithms are superior to the classical mmWave-NOMA and orthogonal multiple access (OMA) schemes not only in lower implementation complexity, but also in better spectrum efficiency and energy efficiency performance.
Does socioeconomic status affect fruit and vegetable intake? Evidence from a cross-sectional analysis of the RaNCD Cohort

ABSTRACT The purpose of this study is to investigate socioeconomic inequality in fruit and vegetable (F&V) intake and contributing factors. Data of 9981 participants from the recruitment phase of Ravansar Non-Communicable Diseases (RaNCD) cohort study were included in the final analysis. The concentration index was calculated to measure the inequality. The prevalence of adequate F&V intake was 55.8% and concentration index was 0.178, indicating that more people in the higher SES group are consuming enough F&V. Place of residence, followed by SES, had the greatest contribution to F&V intake inequality in the west of Iran. It is suggested that villagers and the poor be the target group for interventions to increase fruit and vegetable access.
Impact of Foreign Exchange Administration Rule on the Nexus between Country-Specific FDI and Malaysian Currency

In the aftermath of the US Presidential election on 8 November 2016, the Malaysian currency Ringgit (MYR) had witnessed unprecedented volatility in its value relative to the USD. As a policy response, Bank Negara Malaysia (BNM) implemented a Supplemental Foreign Exchange Administration (SFEA) Rule in December 2016. Exporters are required to convert 75 per cent of foreign currency proceeds from the exports of goods into MYR with a licensed onshore bank. This study evaluates the impact of the new SFEA Rule on the relationship between country-specific FDI and MYR. Based on the data of five major inward FDI countries from 2015 to 2018, our results show: Firstly, Japanese FDI strengthens MYR in post-SFEA Rule; Secondly, FDI from Singapore is found to exert downward pressure on MYR; Thirdly, FDI from China, the Netherlands and the US are insignificant in influencing the MYR; Finally, inward FDI from different countries responds differently to the Rule. Notably, the results obtained are robust to different measures of the exchange rate. On policy suggestion, the Foreign Exchange Rule should also target non-export oriented inward FDIs to achieve the policy target. The result also highlights the importance of export-oriented FDIs for the long-run benefit of the Malaysian economy.
The interaction of emotion regulation and sleep quality: does social media usage duration play a role?

The bidirectional association of emotion regulation with sleep quality has received increased attentionin recent years. In this research, we investigated the correlation between the habitual use of differentemotion regulation strategies (i.e., Expressive Suppression and Cognitive Reappraisal) and differentcomponents of sleep quality. Considering that previous research revealed that using social mediacould influence emotion regulation and sleep quality in different ways, we controlled for the effectof social media usage duration on the interplay of emotion regulation strategies and sleep qualitycomponents. Our results showed that the habitual use of Cognitive Reappraisal was associated withimproved daytime functioning; while, the tendency to use Expressive Suppression in various situationswas associated with shorter sleep duration. Our findings supported the view that the habitual useof Cognitive Reappraisal and Expressive Suppression have different well-being consequences. Wealso observed that using any of the strategies was negatively correlated with more frequent use ofsleeping medications. Additionally, we did not observe any correlation between social media usageduration and other variables. We proposed that understanding the role of social media usage onthe interplay between sleep quality and emotion regulation requires a comprehensive evaluation ofindividual differences in using social media as well as a careful analysis of the social media platforms’characteristics.
Mask mandate and use efficacy in state-level COVID-19 containment

Background: Containment of the COVID-19 pandemic requires evidence-based strategies to reduce transmission. Because COVID-19 can spread via respired droplets, many states have mandated mask use in public settings. Randomized control trials have not clearly demonstrated mask efficacy against respiratory viruses, but observational studies suggest greater mask compliance may be associated with lower infection rates. We hypothesized that statewide mask mandates and mask use are associated with lower COVID-19 case growth rates in the United States. Methods: We calculated total COVID-19 case growth and mask use for the continental United States with data from the Centers for Disease Control and Prevention and Institute for Health Metrics and Evaluation. We estimated post-mask mandate case growth in non-mandate states using median issuance dates of neighboring states with mandates. Results: Case growth was not significantly different between mandate and non-mandate states at low or high transmission rates, and surges were equivocal. Mask use predicted lower case growth at low, but not high transmission rates. Growth rates were comparable between states in the top and bottom mask use quintiles adjusted for normalized total cases early in the pandemic and unadjusted after peak Fall-Winter infections. Mask use did not predict Summer 2020 case growth for non-Northeast states or Fall-Winter 2020 growth for all states. Conclusions: Mask mandates and use are not associated with slower state-level COVID-19 spread during COVID-19 growth surges. COVID-19 containment requires future research and implementation of existing efficacious strategies.
Higher ratios of face to face blended learning is positively related to student satisfaction

This study investigated the satisfaction of 303 undergraduate students who enrolled in traditional 200-level criminology/ criminal justice courses. University students were offered the opportunity to self–select into one of four blended online ratios ranging from 10%, 30% 70% to 90% of the course operating within an online environment. OLS linear regression analysis suggests that students who selected lower intervals of online blended instruction (or high intervals of F2F instruction) were statistically more likely to report higher levels of overall satisfaction in the course. Alternatively, the findings suggest that higher ratios of student selected online instruction may lead to higher levels of student dissatisfaction. OLS data findings reported that younger university students who require more flexibility and convenience of scheduling, are enrolled in higher course loads and/or majoring or minoring in the subject matter produced statistically higher levels of student satisfaction.
Learning–centred leadership and student achievement: Understanding the mediating effect of the teacher professional community and parental involvement

This paper examines the links between learning–centred leadership and student achievement through the mediating effect of teacher professional community and parental involvement. Using teacher and student survey data collected from 79 lower secondary Turkish schools in 12 provinces across the country in 2019, this study employs multilevel structural equation modelling. The findings of the current study add to the growing knowledge base in the non-western societies, revealing the impact of principals’ leadership on school processes and outcomes in Turkey. The study suggests that principals have a crucial role in improving student achievement by enhancing situations in which teachers work, namely, organisational and family paths. It suggests that principals’ leadership practices still matter for teacher professional community and parental involvement in non-western countries. Implications for policy, practice and further research are discussed.
Water-Driven Structural Transformation in Cobalt Trimesate Metal-Organic Frameworks

We report on the synthesis and the characterization of a novel cobalt trimesate metal-organic framework, designated as KCL-102. Powder X-ray diffraction pattern of KCL-102 is dominated by a reflection at 10.2° (d-spacing = 8.7 Å), while diffuse reflectance UV-Vis spectroscopy indicates that the divalent cobalt centers are in two different coordination geometries: tetrahedral and octahedral. Further, the material shows low stability in humid air, and it transforms into the well-known phase of hydrous cobalt trimesate, Co3(BTC)2·12H2O. We associated this transition with the conversion of the tetrahedral cobalt to octahedral cobalt.
Evaluation of the ERCC2 (Lys751Gln), MSH2 (gIVS12-6TC), RAD54 (Ala730Ala), XPC (Lys939Gln), XPG (Asp1104Hist), XRCC1 (Arg399Gln) and XRCC3 (Thr241Met) gene polymorphisms in the Ecuadorian population with retinoblastoma

Background Retinoblastoma is a neoplasia that starts in the retina and may have inheritable or sporadic genetic predisposition. This affects children, mainly those who are under 5 years old. Approximately 9,000 new cases are diagnosed per year worldwide. In Ecuador this disease has an incidence of 1 per each 20,000 live births. The genetic predisposition to develop retinoblastoma is strongly influenced by RB1 gene, and may be influenced by the presence of genetic polymorphisms which intervene in the DNA repair system. Methods This study has analyzed the genotype frequency of ERCC2 (Lys751Gln), MSH2 (gIVS12-6TC), RAD54 (Ala730Ala), XPC (Lys939Gln), XPG (Asp1104Hist), XRCC1 (Arg399Gln), and XRCC3 (Thr241Met) polymorphisms of different repair genes, genotyping 90 individuals affected with retinoblastoma and 80 healthy individuals through polymerase chain reaction / restriction fragments length polymorphism and sequencing analysis. Results The presence of the (C/C) mutant homozygous genotype of XPC (Lys939Gln) polymorphism triggers a significant risk of developing retinoblastoma with an odds ratio (OR) of 3 (CI: 1.22-9.84; p < 0.05). Likewise, the A/G heterozygous genotype and the combination A/G+G/G of XRCC1 (Arg399Gln) polymorphism presented ORs of 9.7 (CI: 4.45-21.08; p < 0.001) and 7.55 (IC: 3.57-16; p < 0.001), respectively. Conclusions The genetic variants XPC (Lys939Gln) and XRCC1 (Arg399Gln) may be associated with the risk of developing retinoblastoma in the Ecuadorian population.
A high-throughput method for profiling fatty acids in plant seeds based on one-step acid-catalyzed methylation followed by gas chromatography-mass spectrometry

Abstract Fatty acids (FAs) in oilseeds are important for human health. Gas chromatography-mass spectrometry (GC-MS) is a popular analytical technology for FAs measurement. FAs need to be derivatized into fatty acid methyl esters (FAMEs), which is essential for GC-MS analysis. The previous methods for methylation of FAs usually include reaction at high temperature and need specific vessels, for which samples with a large scale cannot be analyzed in a short time, leading to low efficiency. Here we report a high-throughput method for profiling fatty acids in plant seeds based on one-step acid-catalyzed methylation followed by GC-MS. This method for FA methylation via derivatization by sulfuric acid with methanol (5%, v/v) and incubation at 64 °C for 4 h in a more convenient 2 mL tube, is efficient. Satisfactory methodological performance was achieved by optimization of the parameters. Only 5 mg seeds were needed as a microscale sample usage by this method. The method is a successful approach to increase the efficiency of sample preparation and analysis for large-scale experiments.
Sumber informasi serta dampak penerapan pembatasan sosial dan fisik pada masa pandemi COVID-19: Studi eksploratif di Indonesia

Sampai saat naskah ini ditulis, kasus pasien positif COVID-19 di Indonesia masih meningkat. Ini mungkin merefleksikan adanya disparitas antara pengetahuan/sikap masyarakat dengan ke-bijakan yang diterapkan. Penelitian ini bertujuan untuk mengeksplorasi sumber pengetahuan yang utama bagi masyarakat Indonesia dalam informasi tentang kebijakan pembatasan sosial dan fisik (social/physical distancing) dan mengungkap konsekuensi yang menyertai penerapan kebijakan tersebut. Sampel penelitian ini adalah warga negara Indonesia yang telah cakap hukum (minimal usia 17 tahun) dan aktif menggunakan gawai. Sampel penelitian sebanyak 587 partisipan yang mengisi kuesioner pertanyaan terbuka secara daring untuk mengungkap jenis media yang menjadi sumber informasi utama, situasi tersulit yang dihadapi, dan dampak dari penerapan kebijakan tersebut. Hasil analisis isi menunjukkan media sosial (online) menjadi sumber utama bagi partisipan untuk memperoleh informasi mengenai pembatasan sosial dan fisik. Beragam konsekuensi dari penerapan kebijakan tersebut dirasakan partisipan, mulai dari aspek ekonomi dalam hal ini sulitnya pemenuhan kebutuhan pokok, sampai dengan memburuk-nya relasi sosial yang sempat dirasakan oleh sebagian partisipan.
Distribution, ecological and taxonomic study of Locusta migratoria migratoria (Linnaeus, 1758) and long term monitoring of its outbreak in Cold desert of Ladakh (UT) India

Short horned orthopetra from the family acrididae in gregarious phase is generally known as locust. In solitary condition they are harmless and overlooked. In history no epidemic of locust was snoop in the cold desert of Ladakh. In the last two decades Locusta migratoria migratoria (Linnaeus, 1758) is enormously affecting the livelihood of the trans-Himalayan region. Present study emphasized in Changthang, Chusul and Pangom Tso area of the Ladakh from 2008 to 2019. The purpose of this study was to explore the distribution, ecological and taxonomical aspects of the outbreak of migratory locusts in the fragile ecosystem. The long term monitoring assessed the geographic coverage of the locust infestation, swarming hotspots; evaluate the population parameters such as densities and developmental stages in the region. It was observed that migratory locust impinge along the Indus river area from Tibet and China and swarms year to year in Ladakh. They drastically impacted on the livelihood of the region with demolish the greenery of the area.
Disability-adjusted life years for acute bronchiolitis in infants in Colombia

Introduction acute bronchiolitis is the leading cause of hospitalization in infants worldwide. However, little is known about the real impact of on society in terms of years of life lost due to this condition. The objective of the present study is to determine the Disability-Adjusted Life Years (DALYs) for acute bronchiolitis in infants in Colombia. Methods data from the national epidemiological surveillance system were used to estimate DALYs, calculated from the sum of years of life lost and years lived with disability due to acute bronchiolitis in Colombia. A bootstrapped method with 10,000 iterations was used to estimate each statistical parameter using the package DALYs calculator in R. Results in 2019, 447,434 years of life (confidence interval 95% 397,647- 512,759) were lost due to acute bronchiolitis in Colombian infants. The estimated rate was 34 DALYs/1000 person-year (95% confidence interval 30-39). Conclusion our paper shows the high burden of disease associated with bronchiolitis in Colombia. Prevention strategies, such as acute bronchiolitis vaccination, to reduce morbidity associated with acute bronchiolitis should be encouraged in our country.
Edge Intelligent Joint Optimization for Lifetime and Latency in Large-Scale Cyber–Physical Systems

In recent years, the exploration on large-scale cyber–physical systems (CPSs) has become a fertile research field of significant impact. Large-scale CPS applications cover not only manufacturing and production areas but also daily living domains. Traditional solutions dedicated for large-scale CPSs mainly concentrate on the service latency or reliability optimization, but neglect the resultant negative impact on system lifetime. In this article, we conduct the first study on jointly optimizing the service latency and system lifetime subject to the constraints of reliability, energy consumption, and schedulability for large-scale CPSs. We propose an edge intelligent solution composed of offline and online phases. At the offline phase, the long short-term memory (LSTM) technique is leveraged to predict task offloading rates at individual user groups. Afterward, the multiobjective evolutionary algorithm with dual local search (DLS-MOEA) is exploited to determine optimal system static settings of computation offloading mapping and task replication number. At the online phase, an affinity-driven scheme incurring minimal system dynamic overheads is designed to deal with the inherent mobility of terminal users. We also build an algorithm validation platform upon which extensive simulation experiments are carried out. Experimental results show that our offline and online schemes outperform the state-of-the-art benchmarking methods by 27.1% and 43.5%, respectively.
Adolescents’ mental health problems, teacher support, and school adaptation: A qualitative analysis based on the Trajectory Equifinality Model

ABSTRACT Adolescents who do not seek help from others, concealing their problems, make it difficult for teachers to detect students’ mental health problems early and provide preventive interventions. Individual interviews of secondary-school teachers (n = 15; 8 men and 7 women) were conducted for this study, where they were asked to report their experiences of providing support to students who did not seek help but were deemed to need it. The analysis was based on thematic analysis and the Trajectory Equifinality Model. The 26 cases (11 boys and 15 girls) included in the final analysis were categorized into four problem areas: family problems, school refusal, developmental disabilities, and interpersonal relationships at school, and the interaction processes in each problem domain were described. The results identified effective support behaviors that were common to all problem domains, such as environmental adjustment, as well as support behaviors that were effective for specific problem domains, such as support developing future vision and one-on-one tailored approach. However, it was also indicated that direct interventions without consent from the student risk breaking the connection between schools and students. Future research in other cultures with different teacher roles, and studies for the purpose of theory generation are indicated.
Unusual Causes of Hemoperitoneum: A Case Series of Fundal and Uterine Horn Rupture

Introduction: Uterine rupture, being an uncommon and severe obstetrical event, is associated with high perinatal and maternal morbidity and mortality. For an unscarred uterus, incidence of rupture is approximately 1 in 17,000–20,000 deliveries or, as reported by the World Health Organization, 0.006%. Pregnancy in the presence of uterine anomalies is unusual and rare in clinical practice, and very few cases have been reported. Most of the uterine anomalies are asymptomatic and hence never noticed. An increase in the incidence of rupture in Mullerian anomalies has been noted. We present a case series of uterine rupture seen in two cases at our center. Materials and Methods: The first case was of a primigravida with a unicornuate uterus and rupture involving the lateral wall and right rudimentary horn. She underwent an obstetric hysterectomy. The second case was of a multiparous woman with failed attempt at medical termination of pregnancy with fundal uterine rupture which was repaired. Conclusion: Uterine rupture involving the lateral wall and the rudimentary horn of a unicornuate uterus is a rare clinical condition and very few cases of rupture of uterine anomalies have been reported. Injudicious use of pills for medical termination of pregnancy can lead to uterine ruptu re and put the mother’s life in jeopardy Prompt diagnosis, regular antenatal checkups, creating awareness regarding antenatal care, and hazards of unwanted pregnancy terminations and expedited management will go a long way in improving the maternal outcomes of our country.