Miracle-dz/UniFAR-FTUs huggingface dataset:
An Efficient Multigram Synthesis of Hypericin Improved by a Low Power LED Based Photoreactor

In this work, an improved synthesis process was developed for the multigram production of hypericin. An inexpensive and efficient low power Light Emission Diode (LED) based photoreactor was designed and employed to perform the protohypericin photocyclization reaction allowing its photoconversion in hypericin. This closed system overcomes safety issues related to scale-up hypericin preparation typically described in the literature which combines the use of open systems, organic solvents, and high-power light sources. The photoreactor designed allows a solution to, mainly, the intrinsic effect of hypericin photobleaching inherent to the protohypericin photocyclization reaction, implying an increase in the yield of the final product and consequently the final cost. Using a red-LED based photoreactor, a safety protocol was carried out in a 5-g scale hypericin preparation with quantitative yield.
Predicting social media addiction in adolescent student based on depression and narcissistic personality considering the mediating role of self-disclosure

The aim of this study was to predict social media addiction in adolescent student based on depression and narcissistic personality by considering the mediating role of self-disclosure. The study was descriptive and correlational design and from the sample of correlation schemes and the statistical population included all male and female high school students in Tehran, from which 300 students were selected using multi-stage cluster method. Data were obtained through questionnaires of Social Network Orientation and Use (Momeni and Taghilo, 2016), Beck Depression Inventory (1978), Narcissistic Personality (Raskin & Terry, 1988) and Virtual Self-Disclosure (Chelon, 1978). Data were analyzed by multivariate regression analysis in SPSS-20 statistical software. The findings showed that there is a significant effect between depression, narcissistic personality and self-disclosure with social media addiction (p=0/01). Also, the proposed model had a good fit (c2/df=3/09, CFI=0/971, AGFI=0/926, GFI=0/973, RMSEA=0/083) and the results support the mediating role of self-disclosure in relation to narcissistic personality and self-disclosure and social media addiction.
Factors Affecting Mathematics Problem Solving Ability in Online Learning

At the beginning of 2020, a pandemic occurred in all countries, one of which was Indonesia and it had an impact on the learning carried out in Indonesia. Learning that is usually done face-to-face has turned into online learning. Â This study aims to determine the factors that affect online learning of class XI students on their mathematical problem-solving abilities. This research uses descriptive qualitative research methods. The population in the study was simultaneously used as a sampling (Total Sampling) with a total of 52 students. Data were collected through tests and questionnaires. Based on the results of research on the mathematical problem solving ability of students at one of the senior high schools (SMA) in the city of Bandung in online learning 50% has a medium category, so that online learning is going well, the problem only occurs in indicators checking and testing calculations or solutions. Internal factors and external factors have a strong influence during online learning.
Rapid, Concurrent Formation of Organic Sulfur and Iron Sulfides During Experimental Sulfurization of Sinking Marine Particles

Organic matter (OM) sulfurization can enhance the preservation and sequestration of carbon in anoxic sediments, and it has been observed in sinking marine particles from marine O2‐deficient zones. The magnitude of this effect on carbon burial remains unclear, however, because the transformations that occur when sinking particles encounter sulfidic conditions remain undescribed. Here, we briefly expose sinking marine particles from the eastern tropical North Pacific O2‐deficient zone to environmentally relevant sulfidic conditions (20°C, 0.5 mM [poly]sulfide, 2 days) and then characterize the resulting solid‐phase organic and inorganic products in detail. During these experiments, the abundance of organic sulfur in both hydrolyzable and hydrolysis‐resistant solids roughly triples, indicating extensive OM sulfurization. Lipids also sulfurize on this time scale, albeit less extensively. In all three pools, OM sulfurization produces organic monosulfides, thiols, and disulfides. Hydrolyzable sulfurization products appear within ≤200‐μm regions of relatively homogeneous composition that are suggestive of sulfurized extracellular polymeric substances (EPS). Concurrently, reactions with particulate iron oxyhydroxides generate low and fairly uniform concentrations of iron sulfide (FeS) within these same EPS‐like materials. Iron oxyhydroxides were not fully consumed during the experiment, which demonstrates that organic materials can be competitive with reactive iron for sulfide. These experiments support the hypothesis that sinking, OM‐rich and EPS‐rich particles in a sulfidic water mass can sulfurize within days, potentially contributing to enhanced sedimentary carbon sequestration. Additionally, sulfur‐isotope and chemical records of organic S and iron sulfides in sediments have the potential to incorporate signals from water column processes.
Filling Delivery Time Automatically Based on Couriers’ Trajectories

Nowadays, couriers are still the main solution to address the “last mile” problem in logistics. They are usually required to record the delivery time of each parcel manually, which is essential for delivery insurances, delivery performance evaluations, and customer available time discovery. Stay points extracted from couriers’ trajectories provide a chance to fill the delivery time automatically to ease their burdens. However, it is challenging due to inaccurate delivery locations and various stay scenarios. To this end, we propose the improved Delivery Time Inference (DTInf+), to infer the delivery time of waybills based on their trajectories. DTInf+ is composed of three steps: 1) Data Pre-processing, which organizes waybills and stay points by delivery trips, 2) Delivery Location Mining, which obtains the delivery location for each address and each Geocoded waybill location by mining historical delivery caused stay points, and 3) Delivery Event-based Matching, which infers the delivery caused stay point for waybills at the same delivery location based on a pointer network-like model SPSelector to obtain the delivery time. Extensive experiments and case studies based on real-world datasets from JD Logistics confirm the effectiveness of our approach. Finally, a system is deployed in JD Logistics.
Effect of Cu Incorporation on Optoelectronic Properties of e-Beam Evaporated ZnO thin Films by Ellipsometric Investigations

Electron beam deposition technique has been used to deposit a series of Zn1-xCuxO nanocrystalline thin film on silica substrate with a variety of Cu concentrations. The microstructural, surface morphology and spectroscopic ellipsometry (SE) were used to examine the physical properties of the deposited films. The nanocrystalline nature of the Zn1-xCuxO (0.0≤x≤0.20) thin film has been confirmed by surface morphology studies. The XRD spectrum of the Zn1-xCuxO nanocrystalline film showed a hexagonal wurtzite type structure, and no extra phase was detected. Our results show that as the Cu content increases, the direct optical energy gap Eg decreases without any sign of solubility limit up to x≤0.2. The decrease in Eg can be attributed to the sp-d exchange coupling. In addition, exploring the spectral behavior of the refractive index dispersion from SE of the Cu-doped ZnO shows that as the Cu dopant increments; the refractive index of the deposited film enhances. Further, understand the refractive index dispersion of the deposited film has been performed using a single oscillator model proposed by Wemple-DiDomenico (WDD). Our calculations show that as the Cu concentration increases, the values of oscillator energy Eo decreases however, the dispersion energy Ed increases. As a result, the variation of the optical energy band gap and the tunability of the dispersive oscillator parameters values Eo, Ed, n0, e0, M-1 and M-3 with the increase of the Cu doping level confirm that Cu doped ZnO films are a good candidate for optoelectronic device applications.
Candidate genes and single-nucleotide gene variants associated with muscle and tendon injuries in cyclic sports athletes

Sports injuries prevention is one of the key issues of the training process and reducing the risk of developing anxiety and depressive disorders in professional athletes. One of peculiarities of sports injuries is the loss of the ability to train in view of the tendon-ligamentous apparatus integrity, joints, muscles or bones violation. In cyclic sports, the most common are injuries to the ankle joint, injuries to muscles and tendons, and sprains. Injuries to ligaments and tendons are the result of multifactorial problems, including the discrepancy between training effects and the genetically determined capabilities of the athlete's body. Sports injuries consequences are determined by complex interactions between the athlete's genotype and environmental factors, in particular training influences. (1) Background: to review scientific articles on the problem of research on candidate genes and single-nucleotide variants (SNVs) of genes associated with muscle, tendon, and ligament injuries in cyclic sports athletes. (2) Methods: a search of articles for the period from 2008 to 2020 was conducted in the databases e-LIBRARY, SCOPUS, Web of Science, Google Scholar, Clinical keys, PubMed using the keywords: personalized medicine, genetics, candidate genes, single-nucleotide variant, polymorphism, muscle, tendon, injury, athlete. (3) Results: Studies have shown that muscle and tendon injuries in cyclical sports athletes are associated with SNV rs1800012, rs1107946 of the COL1A1 gene, SNV rs12722 of the COL5A1 gene, SNV rs679620 of the MMR3 gene, SNV rs2289360 of the ELN gene, SNV rs143383 of the GDF5 gene. The most studied polymorphisms are rs1800012, rs1107946 of the COL1A1 gene, rs12722 of the COL5A1 gene, and rs143383 of the GDF5 gene. The variable results of associative genetic studies and genome-wide studies are most likely due to the racial and ethnic heterogeneity of the samples and differences in the study design. (4) Conclusions: Identification of genetic markers associated with injuries and diseases of the musculoskeletal system, ligamentous apparatus, and the ability of tissue to regenerate can help sports doctors and coaches develop personalized strategies to prevent or reduce muscles, joints, and ligaments diseases in athletes. The translation of these research results into the training and treatment process is important for improving cyclic sports athletes' performance, reducing their professional mala-daptation and anxiety and depressive disorders development risk.
The Role of Dysfunctional Beliefs and Self-Sacrifice Motivation in Predicting Marital Adjustment of Married Women

Background: One of the most important issues in family psychology that has become more important with social change is marital adjustment. The present study was conducted to predict marital adjustment based on dysfunctional beliefs and self-sacrifice motivations. Methods: This study was a correlational study and was conducted in 2020. The statistical population of the study included married women in Babolsar city. In the present study, 305 people were selected using the available sampling method and responded to the tools. The scales of marital adjustment, self-sacrifice motivations and dysfunctional beliefs were used to collect data. SPSS software was used to analyze the data and the multiple regression method was used to test the research hypotheses. Results: The results showed that the variable of dysfunctional beliefs is a negative and significant predictor of marital adjustment (β=-0.50, P=0.001). The approach motive of sacrifice was a positive and significant predictor of marital adjustment (β=0.26, P=0.001). However, the avoidance motive of sacrifice variable was not able to predict the marital adjustment (β=0.14, P=0.178). In addition, the results showed that 31% of the variance of the dependent variable is predicted by independent variables. Conclusion: The results showed that dysfunctional beliefs and approach motive of sacrifice play a role in marital adjustment. Therefore, implementing intervention programs to strengthen the approach motive of sacrifice and reduce dysfunctional beliefs can help improve marital adjustment.
Individual Subjective Well-Being during the COVID-19 Pandemic

This paper examines how contextual and institutional factors are associated with individual subjective well-being, which is measured by individuals’ happiness, during the early stage of the COVID-19 pandemic. Using data collected in the People’s Republic of China (PRC), the Republic of Korea, Japan, Italy, the United Kingdom (UK), and the four biggest states of the United States (US) in April 2020, we find that the financial effects (represented by employment and income change) and nonfinancial effects (represented by experiencing negative nonfinancial effects including mental health issues and enjoying positive benefits) caused by nonpharmaceutical measures to contain the spread of COVID-19 are associated with individual subjective well-being. Moreover, positive benefits could reduce the likelihood of becoming unhappy for those who have experienced negative nonfinancial effects or those who have lost their jobs. The results also suggest that the degree to which people agree with their government’s approach to dealing with the COVID-19 pandemic is positively correlated with their happiness. The risks associated with the pandemic, however, are only slightly associated with people’s happiness. We also find that the correlation between the above factors and individual well-being varies from country to country.
International students' mobility and value added through internationalization of higher education in Estonia and Denmark

ABSTRACT Attracting the best students into universities is a policy agenda driven by the state and universities in Estonia and Denmark. While the policy of internationalization of higher education (IoHE) in Estonia and Denmark is well crafted in the policy and academic domains, the value additions international graduates add to the learning environments and cultures are hardly explored. This study aims at describing the value added through IoHE in Estonia and Denmark. The study revealed that international graduates bring diversity into the learning environment which promotes teaching, learning and tolerance of other cultures.
Development of two instruments measuring social support for siblings of children with cancer.

The literature on childhood cancer provides a very limited understanding of healthy siblings' perceptions of supportive interventions during the childhood cancer experience. The purpose of this article is to discuss the development of the Nurse-Sibling Social Support Questionnaire (NSSSQ). Instrument methodology for the study involved item development, face and content validation, and internal consistency reliability as described by Hockenberry-Eaton, Manteuffel, and Bottomley (1997). Item development for the research instrument evolved from an extensive review of the literature and clinical experience of the principal investigator. Content validity of the instrument was accomplished by five experienced pediatric oncology nurses according to the methodology described by Lynn (1986). Using the content validity index, each nurse rated each item as either 4 or 5, indicating 100% agreement among experts that these items measured the concept of social support. Readability for the instrument was determined by using a computerized program. Results showed that readability was concordant with the grade school level for all items. Twenty-five school-age siblings of children with cancer and their mothers were asked to complete the questionnaire. Instrument completion was accomplished in less than 1 hour. The NSSSQ showed high internal consistencies (alpha coefficients >.90). Results indicated that siblings' perceptions of social support differed from those of their mothers. Siblings perceive emotional and instrumental support as greater in importance, whereas mothers perceive emotional and informational support as more beneficial to siblings. Support issues for siblings of children with cancer have been difficult to assess because of the lack of appropriate instruments. This study finding provides exploratory evidence to suggest that the new instrument can help measure siblings' perceptions of social support during the childhood cancer experience.
Examining Emotion Perception Agreement in Live Music Performance

Current music emotion recognition (MER) systems rely on emotion data averaged across listeners and over time to infer the emotion expressed by a musical piece, often neglecting time- and listener-dependent factors. These limitations can restrict the efficacy of MER systems and cause misjudgements. We present two exploratory studies on music emotion perception. First, in a live music concert setting, fifteen audience members annotated perceived emotion in the valence-arousal space over time using a mobile application. Analyses of inter-rater reliability yielded widely varying levels of agreement in the perceived emotions. A follow-up lab-based study to uncover the reasons for such variability was conducted, where twenty-one participants annotated their perceived emotions whilst viewing and listening to a video recording of the original performance and offered open-ended explanations. Thematic analysis revealed salient features and interpretations that help describe the cognitive processes underlying music emotion perception. Some of the results confirm known findings of music perception and MER studies. Novel findings highlight the importance of less frequently discussed musical attributes, such as musical structure, performer expression, and stage setting, as perceived across audio and visual modalities. Musicians are found to attribute emotion change to musical harmony, structure, and performance technique more than non-musicians. We suggest that accounting for such listener-informed music features can benefit MER in helping to address variability in emotion perception by providing reasons for listener similarities and idiosyncrasies.
Development of 5-fluorouracil-loaded nano-sized liposomal formulation by two methods: Strategies to enhance encapsulation efficiency of hydrophilic drugs

: The number of studies conducted with liposomes to reduce side effects in systemic administration of chemotherapeutic agents is increasing day by day. One of these chemotherapeutic agents, 5-Fluorouracil (5-FU) is a good candidate for encapsulating into the liposomes; however, it has been difficult to obtain liposomal 5-FU with high encapsulation efficiency. The various factors such as preparation method (thin film hydration method and passive loading with small volume incubation method), drug amount (10 mg, 7.5 mg, and 5 mg), hydration volume (3.5 mL and 2 ml), and incubation volume (2 mL and 1 mL) were investigated to optimize the formulation of 5-FU encapsulated liposomes. Liposomes were characterized according to particle size, polydispersity index (PDI), zeta potential, and encapsulation efficiency (EE%). The in vitro release study was carried out using Franz diffusion cell. Based on the optimization of formulation, the average drug EE% and the mean particle size of 5-FU-loaded liposomes were found to be 25% and 188.6 nm. I n vitro drug release of 5-FU-loaded liposomes (SVI-4) presented a biphasic release of 5-FU, and this behavior was in accordance with the first-order equation. According to the results, 5-FU can be effectively loaded into liposomes prepared by passive loading with small volume incubation method.
Transmit–Receive Design for Airborne Radar With Nonuniform Pulse Repetition Intervals

This article aims to the joint design of transmit waveform and receive filter to enhance the clutter suppression capability for airborne radar with nonuniform pulse repetition interval (NUPRI). Specifically, a multipulse echo model with NUPRI incorporating a moving point-like target and signal-dependent clutter is first established. Then the 2-D range-Doppler plane is acquired by performing pulse compression and the windowed pulse Doppler processing on the echo. Further, the signal to interference plus noise ratio (SINR) of the interested area in the range-Doppler plane is formulated as a figure of merit to maximize along with constant modulus constraint on the waveform. To solve the resultant nonconvex problem, the sequential greedy optimization algorithm through alternately updating the transmit waveform and receive filter is proposed. Each iteration of the developed algorithm invokes coordinate descent framework and a Lagrangian-based algorithm to obtain the transmit waveform and receive filter, respectively. The analytical guarantee of the monotonic SINR improvement is proved. Finally, the performance of the proposed algorithm is assessed through numerical simulations showing its capability to suppress signal-dependent clutter.
Development of an automated control system for 6/0.4 kV transformer substation with automatic transfer switch using standard IEC 61131-3

This work is devoted to the development of an automated transfer switch (ATS) for the 6/0.4 kV substation. The work is relevant due to the introduction of automation and the replacement of electromechanical equipment with microprocessor devices in the power systems. At the lower (field) level, automation is driven by the use of programmable logic controllers (PLCs) and various smart sensors. The possibility of using modular PLC in automation systems is considered. Developed are an algorithm and a program for the implementation of automated regulation of the application of automatic transfer switches at a substation using the recommendations of the IEC 61131.3 “Programming languages of programmable logic controllers” standard.
Model of Expatriates’ Job Performance Based on Cross-Cultural Adjustment to Work Stress and Work Adaptation

The study aims to determine factors affecting the job performance relating to cross-cultural adjustment as it affects work stress and work adaptation. For this study, the research framework was based on cross-cultural flexibility associated with work adaptation and work stress on job performance among expatriates. The research was conducted on a sample of 396 expatriates working in the hospitality industry in Taiwan. Structural equation modeling was utilized in this study. The obtained results confirmed the impact of cross-cultural adjustment on work stress, the negative impact of work stress on job performance; and also, the positive impact of cross-cultural adjustment on work adaptation, and work adaptation on job performance. The results show that the challenges faced by expatriates are derived from work adaption, work stress, and cultural differences. Expatriates who can adapt to the different cultures of foreign countries have higher work participation. It has also been found that a significant correlation exists between cross-cultural adjustments on work pressure. Higher work stress translates into relatively lower job performance.