Miracle-dz/UniFAR-FTUs huggingface dataset:
Combining Process Modelling and LAI Observations to Diagnose Winter Wheat Nitrogen Status and Forecast Yield

Climate, nitrogen (N) and leaf area index (LAI) are key determinants of crop yield. N additions can enhance yield but must be managed efficiently to reduce pollution. Complex process models estimate N status by simulating soil-crop N interactions, but such models require extensive inputs that are seldom available. Through model-data fusion (MDF), we combine climate and LAI time-series with an intermediate-complexity model to infer leaf N and yield. The DALEC-Crop model was calibrated for wheat leaf N and yields across field experiments covering N applications ranging from 0 to 200 kg N ha−1 in Scotland, UK. Requiring daily meteorological inputs, this model simulates crop C cycle responses to LAI, N and climate. The model, which includes a leaf N-dilution function, was calibrated across N treatments based on LAI observations, and tested at validation plots. We showed that a single parameterization varying only in leaf N could simulate LAI development and yield across all treatments—the mean normalized root-mean-square-error (NRMSE) for yield was 10%. Leaf N was accurately retrieved by the model (NRMSE = 6%). Yield could also be reasonably estimated (NRMSE = 14%) if LAI data are available for assimilation during periods of typical N application (April and May). Our MDF approach generated robust leaf N content estimates and timely yield predictions that could complement existing agricultural technologies. Moreover, EO-derived LAI products at high spatial and temporal resolutions provides a means to apply our approach regionally. Testing yield predictions from this approach over agricultural fields is a critical next step to determine broader utility.
Identification and Efforts to Control Infection Odontoglossum ringspot virus (ORSV) on Orchid

Odontoglossum ringspot virus (ORSV) is a orchid virus which infection most widely reported and has spread widely in the world, including in Indonesia. Viral infections can degrade the quality of the orchid plant so it is economically detrimental. To study a disease infection, identification is carried out first to determine the most appropriate method of control. These identification techniques include variations in infection symptoms, host range testing, testing of viral titers, observation of particle morphology, genome detection, and analysis of DNA and amino acid sequences. Efforts to control disease can be done through preventive and eradicative actions chemically, biologically, and based on artificial intelligence.
Valley-Polarized Exciton Dynamics in Exfoliated Monolayer WSe2

Semiconducting transition-metal dichalcogenide monolayers have emerged as promising candidates for future valleytronics-based quantum information technologies. Two distinct momentum states of tightly bound electron–hole pairs in these materials can be deterministically initialized via irradiation with circularly polarized light. Here we investigate the ultrafast dynamics of such a valley polarization in monolayer tungsten diselenide by means of time-resolved Kerr reflectometry. The observed Kerr signal in our sample stems exclusively from charge-neutral excitons. Our findings support the picture of a fast decay of the valley polarization of bright excitons due to radiative recombination, intraconduction-band spin-flip transitions, intervalley-scattering processes, and the formation of long-lived valley-polarized dark states.
Exploiting Neural Networks in Question Answering to Support the Teaching-Learning Process

Question Answering (QA) systems brought a fresh perspective to the Information Retrieval (IR) research area, enabling humans to ask natural language question to a computational system which can retrieve a single and precise answer. In front of this nature, we understand that this kind of approach could bring a valuable contribution to a TeachingLearning process. This study aims to analyze how question answering algorithms performs when applied to an educational environment. To achieve this goal, we developed a Systematic Literature Review (SLR) which enlighten the concepts, definitions and patterns of QA field, guiding us on which algorithm, approach and paradigm were more suitable for our needs. After that we created our own educational corpus and tested two approaches with it. As a result, we concluded that, QA systems can be used as a important tool on a teaching-learning process as we could reach a 77% match on factoid answers. Key-words: question answering systems; natural language processing; information retrieval.
ZOMBIE COMPANY AND CSR PERFORMANCE WITH CORPORATE GOVERNANCE AND OWNERSHIP AS MODERATOR VARIABLES

This study aims to determine the relationship between zombie companies and the performance of corporate social responsibility, with corporate governance and ownership as moderator variables. A zombie company is a near-insolvent firm due to inefficiency and low profitability but still survive with external support from the government or bank (Kane, 1987). The determination of the sample is done by a purposive sampling method, with OLS and Moderated Regression Analysis methods. The number of research samples is 288 companies with a total of 1865 observations for the period 2010-2017. The analysis shows that CSR performance in zombie companies is lower than that of non-zombies. The moderator variable of corporate governance is proxied by board composition, while ownership is proxied by family ownership and institutional ownership. The board composition and institutional ownership variables do not moderate the negative effects of zombie companies on CSR performance, while the family ownership variable worsens the relationship between zombie companies and CSR performance. The research control variables are financial leverage, a dummy of state-owned enterprise, and firm size. While financial leverage has no effect on the CSR performance, the state-owned enterprise and firm size are positively related to that performance .
A clinical and functional outcomes after modified harding’s approach (antero-lateral) for total hip replacement

Background: To assess the Clinical and Functional outcomes of Total Hip Replacement after Modified Harding’s approach (Antero-lateral). For this Harris Hip Score was used which comprised of Pain, Functional disabilities, Deformity, Range of movements with radiological assessment for evaluation of outcome and complications.Materials and Methods: The study was carried out on 30 patients operated in the Department of Orthopaedics. Information on the patients was compiled from clinical details, case files and operation theatre records. This was a retrospective as well as prospective study. Patient’s follow up was minimum from 6 months to 1 year.Result: Out of the 30 patients 3 had a fair score between 70-80, 6 had a good score between 80-90 while the 21 having an excellent score.Conclusion: Our study suggests that the anterolateral approach is a good approach for the outcome of the Harris hip score with no complication with satisfactory clinical, functional and radiological outcomes after an intermediate duration of follow-up. The study didn’t have any complications.
The Effect of Social Media on Brand Image and Brand Loyalty in Generation Y

Indonesia has a population of more than 260 million, of which, by 2020, Generation Y is predicted to account for 70% of the total. With different birth years, Generation Y is the backbone of Indonesia’s product purchasing. Generation Y is interested in establishing strong relationships with specific brands on social media. They are also interested in working with companies to design a product. Most Generation Y utilizes more than one electronic device and they are also brand loyal. Therefore, this study seeks to examine the effect of social media (i.e., e-WOM, online community, and online advertising) on brand image and loyalty in Generation Y in Indonesia. The sampling method employed was purposive sampling. A total of 150 respondents in the age range of 23–30 years were involved as the sample. Using multiple regression model in data analysis, this study proved that e-WOM, not only have a positive and significant effect on the brand image, but also on brand loyalty. Furthermore, online community also positively and significantly affects brand image and brand loyalty. Likewise, online advertising has a positive and significant effect on brand image and brand loyalty. This study’s findings indicated that all the proposed hypotheses were well accepted.
The International Tourism Performance Amidst Several Intervention Events: More than 20 Years of Multi Input Intervention Analysis in Bali, Jakarta, and Kepulauan Riau Provinces

As one of the priority sectors in economic development of Indonesia, tourism is expected to be the main key in accelerating economic and social growth, hence reducing poverty. The tourism performance, especially international tourism market, is highly prone to intervention events that can reduce the number of inbound tourists and produce a negative impact on economic development of the destination country. Therefore, anticipating and mitigating various intervention events is necessary to maintain the performance of the tourism sector in Indonesia. This study investigates the magnitude and patterns of impact of several intervention events on the number of international visitor arrivals via the three main ports of entry of Indonesia, i.e. Soekarno-Hatta Airport, Ngurah Rai Airport, and Batam Port. The multi input intervention models were constructed by covering intervention events, i.e. terrorism, disease pandemic, global financial crisis, natural disaster, and government policy, occurring in a relatively long time span, more than two decades, from January 1999 to August 2020. The results show that an intervention event does not always have a significant impact on the number of international visitor arrivals at the three main ports of entry. Generally, all intervention events can lead to a decrease in the number of international visitor arrivals but with different magnitude and pattern, with the biggest and longest impact is caused by COVID-19 pandemic. The direct or non-delayed pattern of impact only appears for terrorism and natural disaster that affect the number of international visitor arrivals via Ngurah Rai Airport.
Running Head: MICRO-EXPRESSIONS TRAINING 1 A test of the Micro-Expressions Training Tool (METT): Does it improve lie detection?

The purpose of the study was to examine the effectiveness of the Micro-Expressions Training Tool (METT) in identifying and using micro-expressions to improve lie detection. Participants (n = 90) were randomly assigned to receive training in micro-expressions recognition, a bogus control training, or no training. All participants made veracity judgments of five randomly selected videos of targets providing deceptive or truthful statements. Using Bayesian analyses, we found that the METT group did not outperform those in the bogus training and no training groups. Further, overall accuracy was slightly below chance. Implications of these results are discussed.
Teaching writing to junior high school students: A focus on challenges and solutions

Writing has been considered as a highly demanding skill and a complex recursive process involving multifaceted knowledge (e.g. grammar, genre, vocabulary and metacognitive competencies). Hence, it has been documented in miscellaneous studies in the past few decades. However, the issue of challenges and solutions to teaching English writing to junior high school students remains under-researched. Therefore, this study addressed this issue, notably in Indonesian EFL context. Three English teachers from a junior high school in Tasikmalaya, West Java, Indonesia were recruited as the participants. The data were collected through semi-structured interviews and analysed with Thematic Analysis (TA) (Braun & Clarke, 2006). On the one hand, the findings reported that there were seven challenges encountered by teachers when teaching English writing, namely (1) students’ poor English grammatical competence, (2) students’ incapability of developing ideas for English writing, (3) students’ inadequate English vocabulary knowledge, (4) students’ demotivation to learn English writing, (5) insufficient time management to teach English writing, (6) limited sources of English writing materials and (7) limited facilities to teach English writing. On the other hand, teachers promoted several solutions to cope with such challenges, namely (1) explicit teaching English vocabulary, (2) collaborative English writing activities, and (3) exercises of English writing. Pedagogically speaking, this study offers practical contributions for the TESOL practitioners to teach English writing effectively to junior high school students, particularly in the Indonesian EFL landscape.
A study on prevalence, an association of platelet count and seasonal distribution of Dengue from a tertiary care centre

Received on: 12.03. 2018 Revised on: 23.07. 2018 Accepted on: 25.07. 2018 Dengue virus, transmitted through the bite of Aedesaegypti mosquitoes, is the causative agent of Dengue fever and Dengue shock syndrome. There are five serotypes of Dengue viruses identified so far. This study was undertaken to determine the prevalence of Dengue infection in a tertiary care hospital and to identify NS1Ag, IgM & IgG antibody depending on the duration of fever. This study is a prospective cross-sectional study conducted from January 2016 to February 2017. Sera samples received in the Microbiology Laboratory, from patients suspected to have Dengue by the clinicians; were tested for Dengue NS1 Antigen, IgM & IgG antibody using ELISA. The prevalence of Dengue was analysed about parameters like age, gender and seasonal changes. The positivity of NS1 Antigen, IgM and IgG Antibody in relation to the duration of fever was analysed. Among the 150 patients enrolled 18.7% (n=28) tested positive for Dengue. Among 28 laboratoryconfirmed cases NS1 antigen was positive in 15(53.6%), IgM antibody positive in 5 (17.8%), IgG antibody positive in 4 (14.3%), NS1 Antigen and IgM positive in 1 (3.6%), IgM and IgG antibody positive in 2 (7.10%) and all three parameters NS1 antigen IgM and IgG positive in 1 (3.6%). From the serological tests, it was deduced that 20 cases had primary Dengue (IgM positive) and 8 had secondary Dengue (IgM and IgG positive). By clinical evaluation, Dengue fever was in 28 cases; four cases had hemorrhagic manifestations. No patients had evidence of Dengue Shock Syndrome. A number of Dengue cases were recorded in December 2016 (18%).
Research of the Factors Affecting Depression, Anxiety and Stress Levels of Individuals in the Covid-19 Pandemic Process

As in all cases, individuals' psychological reactions differ from each other in critical processes such as in pandemic. It is important to determine which factors are more threatening to individuals' mental health. In this context, in the study it is aimed to measure the depression, anxiety and stress responses of individuals during the COVID-19 pandemic process in Turkish society and to research whether there is a significant difference according to some variables such as gender, age, marital status, time spent at home during the pandemic process, social media usage level, whether a relative is positive or not, and whether the workload increases or decreases during the pandemic process. Methods: In this research, a descriptive method has been used in the relational screening model. The sample consists of a total of 881 participants, 484 of which are women and 397 men. The personal information form has been used as a measurement tool, and the DASS-21 scale has been used to determine the levels of depression, anxiety and stress. Since the data do not show normal distribution, non-parametric analysis methods have been used. Results: In the study, it was understood that gender, marital status, age, duration of social media use, a COVID-19 positive relative, staying at home and increased workload had significant effects on psychological reactions. Suggestions are given in the light of the research findings.
Influence of waste cooking oil biodiesel on the nanostructure and volatility of particles emitted by a direct-injection diesel engine

ABSTRACT To reduce air pollution and the reliance on fossil fuel, biodiesel has been widely investigated as an alternative fuel for diesel engines. The purpose of this study is to investigate the influence of waste cooking oil (WCO) biodiesel on the physical properties and the oxidation reactivity of the particles emitted by a diesel engine operating on WCO biodiesel as the main fuel. Experiments were conducted on a direct-injection diesel engine fueled with biodiesel, B75 (75% biodiesel and 25% diesel on volume basis, v/v), B50, B20, and diesel fuel, at five engine loads and at an engine speed of 1920 rev/min. Particulate samples were collected to analyze the particulate nanostructure, volatility, and oxidation characteristics. Biodiesel or low-load operation leads to smaller primary particles and more disordered nanostructures having shorter and more curved graphene layers. It can be found that particles from biodiesel, blended fuels, or low-load operation have higher volatile mass fractions and faster oxidation reaction rates than particles from diesel or heavy-load operation. The higher oxidation reaction rates are due mainly to the smaller particle size, the more disordered nanostructure, and the higher volatile mass fraction. It is also found that changes in primary particle size and particulate nanostructure are not directly proportional to the biodiesel content, while changes in particulate volatility and particulate oxidation reactivity are proportional to the biodiesel content. The use of biodiesel can enhance particulate oxidation reactivity and the regeneration of soot particles in an after-treatment device. Copyright © 2016 American Association for Aerosol Research
Predicting Women's Sexual Function Based on Circadian Rhythms and Anxiety Sensitivity

Background: Sexual dysfunction is one of the factors causing adverse effects on marital life. Objectives: Therefore, the present study aimed at predicting female sexual function based on circadian rhythms and anxiety sensitivity. Methods: The present descriptive-correlational study was performed on 378 married women referring to cultural centers in Isfahan, Iran, from September 2019 to March 2020. The multistage cluster and then convenience sampling methods were used to select samples. Data collection instruments included the female sexual function index developed by Rosen et al., morningness-eveningness personality questionnaire designed by Horne and Ostberg, and anxiety sensitivity index developed by Floyd et al. The collected data were analyzed using Pearson correlation coefficient and stepwise regression with SPSS version 24. Results: The means of age and marriage years of the study participants were 32.53±7.74 and 7.09±3.76 years, respectively. The mean score of their sexual function was 56.85±12.65 and the circadian rhythm 40.84±11.57, and the overall score of anxiety sensitivity 44.99±7.19. The findings also showed that the relationship between sexual function and circadian rhythms was 0.17 and anxiety sensitivity -0.18 (P<0.01). The relationship between sexual function and the components of anxiety-related physical sensations, cognitive dyscontrol, and fear of publicly observable anxiety was -0.14, -0.13, and -0.11, respectively (P<0.05). In the first stage, anxiety sensitivity could predict 16.7% of changes in sexual function and circadian rhythms 7.1% of the mean changes in sexual function (P<0.001), so it can be said that anxiety sensitivity and morningness personality could predict 24% of sexual dysfunction variation (P<0.001). Conclusion: The present study findings show that anxiety sensitivity and circadian rhythms are among the factors affecting sexual function; therefore, it is recommended to reduce anxiety and improve sleep quality to treat sexual disorders in married women.
Fermentation quality and aerobic stability of Napier grass ensiled with citric acid residue and lactic acid bacteria

This study was conducted to investigate the effects of adding citric acid residue (CAR) with or without lactic acid bacteria (LAB) to Napier grass (Cenchrus purpureus; syn. Pennisetum purpureum) cv. Sumu No. 2 at ensiling on the fermentation quality and aerobic stability of the resulting silage. Treatments included: Control (Napier grass forage without additives); and Napier grass inoculated with lactic acid bacteria (Lactobacillus plantarum and L. buchneri) at 1 × 106 cfu/gfresh weight (FW) forage (LAB) or 36 g citric acid residue/kg FW forage (CAR) or a mixture of CAR and LAB (CL). Forty-five days after ensiling the silages were tested for chemical and microbial composition and an aerobic stability test was conducted. The addition of CAR with or without LAB increased the DM and lactic acid concentrations in silage and decreased pH plus acetic acid, ammonia nitrogen (NH3-N), neutral detergent fiber and cellulose concentrations relative to Control. The pH in LAB silage was lower than in Control, while lactic acid concentration was higher. During the first 2 days of aerobic exposure, all additives increased the water-soluble carbohydrate (WSC) and lactic acid concentrations and decreased pH plus NH3-N and acetic acid concentrations. Moreover, CL silages had the highest WSC and the lowest NH3-N and acetic acid concentrations during aerobic exposure. However, all additives failed to improve the aerobic stability of the silage. While CAR with or without LAB inoculant improved the fermentation quality of silage made from Napier grass, more studies are warranted to identify additives which can improve aerobic stability of the silage after opening.
Adsorption of humic acid from aqueous solutions onto shellfish ash: Kinetic and isotherm studies and artificial neural network modeling

Background: Natural organic matters such as humic acid react with chlorine and produce disinfection by products such as trihalomethanes that are carcinogenic. In this study, shellfish ash was used as a novel adsorbent for removal of humic acid. Methods: The present study was performed under various laboratory conditions including pH, adsorbent dose, contact time, and initial concentration of humic acid. Residual concentrations of humic acid in the samples were determined by a UV-Vis spectrophotometer at 254 nm wavelength. Artificial neural network (ANN) modeling studies were also performed. Results: Elemental analysis showed that the shellfish ash was 98% pure calcium. It was indicated that the maximum adsorption capacity was achieved in acidic conditions (pH = 3) and pHzpc was found to be 10.3. The adsorption data followed the Langmuir model (R2 > 0.9). The adsorption of humic acid followed the pseudo-second-order kinetic (R2 = 0.999). ANN modeling also provided the accurate prediction of humic acid adsorption for testing data (R2 = 0.989). Conclusion: According to the results, shellfish ash is recommended as an effective biosorbent for removal of organic pollutants such as humic acid.