Miracle-dz/UniFAR-FTUs huggingface dataset:
Genetic Improvement of Rainfed Shallowlowland Rice for Higher Yield and Climate Resilience

In India, 16 million ha area is under rainfed lowland rice cultivation. The rainfed shallow lowland is characterized by water accumulation of 0-50 cm and faces frequent drought and flash floods. Rice crop faces several challenges when grown under shallow lowland ecology. Simultaneous incorporation of drought and submergence tolerance besides imparting lodging resistance, anaerobic germination ability, seed dormancy and tolerance to major biotic and abiotic stresses becomes very crucial for developing rice varieties for shallow lowlands. Well-characterized genes and QTLs are available for majority of traits to be deployed in suitable combinations for resilient breeding. Updated information on genetic improvement of shallow lowland rice for attaining higher productivity has been discussed in this chapter.
Treatment Decision Based on Radiographic Proximal Caries Lesion Depth and Angle

Objectives: The aim of this study is to establish accurate diagnostic treatment decision threshold of proximal carious lesion in relation to the angle and depth of radiolucency in radiographic image in Saudi population. Methods: Bitewing x-rays were examined to detect the level of lesion depth and angle. Criteria for lesion depth were divided into four categories (E1, E2, DEJ & D). Radiolucincies in the bitewing radiograph extending less than or equal to outer half of enamel(E1), more than the inner half of enamel and before DEJ(E2), at the Dentinoenamel junction(DEJ), less than or equal to the outer half of dentin(D). Angle and Depth were also measured using SIDEXIS XG software (Sirona, Bensheim, Germany). Clinically, cavitation was evaluated at proximal tooth surfaces directly after the extraction of the adjacent tooth or missing proximal contact with the adjacent tooth due to several different indications (Decayed, orthodontic reasons, etc.). Independent T-test was used to correlate between (lesion depth & angle of radiolucency) with clinical cavitation. Chi-square test was used to correlate lesion depth of four categories with clinical cavitation. Results: 116 approximal surfaces with (age mean=31 years old) had (41 cavitated, 75 non-cavitated) proximal surfaces. Premolar 56.9% and Molar 43.1%. There is significant relationship between cavitation and increasing depth in proximal surface that gave P-value= (0.000). A significant relationship was found between clinical cavitation and the angle of approximal enamel surface with P-value = (0.024). Conclusion: With limitations in this study, dentists should be aware of contrast of the approximal lesion angle (determined by three points, most coronal radiolucent point, the deepest axial point and the most apical radiolucent point) of bitewing x-rays to evaluate operative intervention in proximal surface. The more increase in angle the less tendency toward cavitation.
Finely laminated Arctic mixed-phase clouds occur frequently and are correlated with snow

Abstract. Finely laminated (multi-layer) clouds, which are strongly correlated with precipitation events, have been detected in 3.5 years of high resolution measurements of Arctic mixed-phase clouds using the Canadian Network for the Detection of Atmospheric Composition Change (CANDAC) Rayleigh-Mie-Raman lidar located at Eureka, Nunavut (79.6° N, 85.6° W). Laminated clouds occur on 52 % of days with 24 h measurement coverage from 0–5 km altitude, and on 62 % of cloudy interpretable days. There is an average of 70 laminated cloud days detected per year, with no full year having fewer than 52 detections. Given CRL does not measure on all days of the year, it is probable that the true occurence frequency of laminated clouds at Eureka is much higher. A study was conducted using local weather reports from the nearby Environment and Climate Change Canada (ECCC) weather station. Days with laminated clouds are strongly correlated with snow precipitation, while days with non-laminated clouds and clear sky days are moderately anti-correlated with snow precipitation.
Preliminary results of dust and ice clouds retrieval using NOMAD/UVIS nadir measurements

The NOMAD instrument, onboard the ExoMars Trace Gas Orbiter (TGO) mission, began scientific measurements in mid-April 2018. The UV-visible channel UVIS will be used to monitor dust and ice clouds present in the Martian atmosphere. In this presentation, the analysis of these data will be discussed and preliminary results will be presented. 1. The NOMAD instrument NOMAD is an instrument suite [1] onboard the ExoMars TGO. It is composed of 3 channels. Two of these are spectrometers designed for measurement in the infrared (IR) between 2.3 and 4.3 μm [2]: LNO for limb and nadir measurement and SO for solar occultation. The third channel is that of the UVIS [3], a spectrometer for measurements in the ultraviolet (UV) and visible range, between 200 and 650 nm with a spectral resolution of about 1.5 nm. UVIS can operate in limb, nadir and occultation modes. The UVIS channel is dedicated to the study of the ozone abundances as well as dust and ice clouds. 2. Dust an ice clouds in the UV UVIS nadir measurements will be used to monitor the dust optical depth (OD) and the ice cloud OD, as well as the ozone column (see abstract [4]). The goal of these measurements is to derive new climatologies, which will extend and provide comparisons to previous ones. Naturally included in such a dataset is the important spatial and temporal behaviours of these species. Previous studies have shown that ice clouds have repeatable seasonal patterns (i.e,.from one year to the next), while dust is known to show relatively important interannual variations that are mainly related to dust storm events (e.g. [5]). Preliminary results of dust and ice cloud retrievals will be presented and compared to previous works.
Registered nurses’ experience of caring for patients suffering from MRSA in the Philippines

Background: Methicillin Resistant Staphylococcus Aureus (MRSA) has developed to be a global problem and inflicts a challenge for health care. Increased traveling leads to heightened transmission worldwide where the Philippines is one of the top five countries that contributes to the spread back home to Sweden. Filipino nurses are struggling with a high workload that ultimately endanger the caring relationship. Previous research has shown that the care and management sometimes can lead to a risk for stigmatization among the affected patients. Aim: The aim of this study is to investigate registered nurses’ experiences of caring for patients suffering from MRSA in Cebu City, the Philippines. Method: An empirical qualitative design was used and based on semi-structured interviews with six nurses in the Philippines. The interviews were transcribed and analyzed using a content analysis with an inductive approach. Result: Three main categories were identified to be the result of this thesis, “Nurses’ reflections on the patients’ life-world”, “The professional role of nursing” and “Nurses’ experience of obstacles in the caring relationship”. The first category describes how attitudes and compliance among the patients affect the care and therefore their life-world. The second category describes all the different aspects of the professional role of nursing while the third category describes the different obstacles the nurses’ experience when caring for patients suffering from MRSA, and how these affect the caring relationship. Discussion: All of the respondents emphasized the importance of compliance both among patients and nurses to ensure a successful care and a safe environment. Furthermore, they all had an understanding that the management could cause feelings of stigmatization and the requirement of health education to prevent those feelings. The high workload in relation to a non-supportive government made working with a patient perspective difficult, which lead to frustration among the nurses and the feeling of being inadequate.
The impact of cover crops and crop residue removal on soil microbial community abundance, diversity and soil health in a medium-term cover crop field trial in Southwest Ontario

THE IMPACT OF COVER CROPS AND CROP RESIDUE REMOVAL ON SOIL MICROBIAL COMMUNITY ABUNDANCE, DIVERSITY AND SOIL HEALTH IN A MEDIUM-TERM COVER CROP FIELD TRIAL IN SOUTHWEST ONTARIO. John Drummelsmith University of Guelph, 2020 Advisor: Kari E. Dunfield Soil microorganisms are an important component of soil health and drive key biogeochemical processes. The objective was to assess the impacts of fall cover crops (CC), main crops (MC) and residue harvest on the abundance, diversity and function of bacteria and fungi over the growing season. A medium-term trial was established in a horticultural rotation with annual fall CCs. Microbial communities after winter wheat and tomatoes were examined. After MC harvest, CC treatments (none, oat, radish, rye, rye/radish mixture) were applied and plots were split for MC residue retention. Microbial abundances were quantified throughout the growing season with qPCR and sequenced annually with Illumina MiSeq. CCs significantly increased bacterial (rye, radish/rye) and fungal (radish, radish/rye) abundance compared to the no-cover control. PiCRUST and FUNGuild analysis found that bacterial and fungal diversity and functions were significantly impacted by MC species as well as increased by the inclusion of rye and radish.
Real-Time Sentiment Analysis Towards Machine Learning

: Machine Learning is one of the apogees growing data science having tremendously large domain of applications. It is a subfield of data science; having breathtaking approaches in the recent years and will surely grow with a rapid rate. According to current scenario, the use and demand of social media is increasing tremendously. People are relying more on internet, social media and thus the size of the data is becoming huge day by day. As the size of data is extremely huge, so there is a frightening rate to analyze the data and to extricate the useful data various technologies like big data, cloud computing, machine learning, deep learning, data science are coming up in the market. In this paper, we are analyzing tweets. From twitter, we have collected a large number of tweets, tokenization is performed using anaconda, an integrated development environment of python and then training is done on the tokenized tweets to identify the useful data. Spyder is yet another powerful technical environment of python. It provides advanced features of data analysis as well as excellent visualization.
University of Birmingham Parameter inference for computational cognitive models with approximate bayesian computation

This paper addresses a common challenge with computational cognitive models: identifying parameter values that are both theoretically plausible and generate predictions that match well with empirical data. While computational models can offer deep explanations of cognition, they are computationally complex and often out of reach of traditional parameter ﬁtting methods. Weak methodology may lead to premature rejection of valid models or to acceptance of models that might otherwise be falsiﬁed. Mathematically robust ﬁtting methods are, therefore, essential to the progress of computational modeling in cognitive science. In this article, we investigate the capability and role of modern ﬁtting methods — including Bayesian optimization and approximate Bayesian computation — and contrast them to some more commonly used methods: grid search and Nelder – Mead optimization. Our investigation consists of a reanalysis of the ﬁtting of two previous computational models: an Adaptive Control of Thought — Rational model of skill acquisition and a computational rationality model of visual search. The results contrast the efﬁciency and informativeness of the methods. A key advantage of the Bayesian methods is the ability to estimate the uncertainty of ﬁtted parameter values. We conclude that approximate Bayesian computation is (a) efﬁcient, (b) informative, and (c) offers a path to reproducible results.
Sharīʿah Screening Process of Capital Markets: An Evaluation of Methodologies

This study highlights the issues in the screening process of Shar? ah-compliant stock universe from Shar? ah and professional perspectives. We have critically analyzed Shar? ah-compliance methodologies of selected (eight) institutions in the light of Islamic principles of business. The findings suggest multiple weaknesses in the process, including variations in tolerance limits (for ? ar? m-elements), variations in the use of calculation methods (total assets and market capitalization), insufficient income purification mechanism, and confusions about the application of bay? al-? arf and bay? al-dayn regulations. In addition, we find lack of revisions in the tolerance limits, corresponding to the expansion of the Islamic finance market. We also find that certain important areas, such as questionable marketing and sales practices and environmental damages, are ignored in filtration. This study proposes a Shar? ah-compliance rankings mechanism for Islamic stock markets, within agreed upon framework, based on the degree of violations.
ASSESSMENT OF SOFT TISSUE EXPANSION USING OSMED SELF INFLATING HYDROGEL PRIOR TO MANDIBULAR RIDGE AUGMENTATION

Objectives: This study was conducted to assess the ability of self-inflating tissue expander to produce proper amount and quality of mucosa prior to bone grafting and implants insertion and degree of bone graft survival in severely atrophied alveolar ridges. Material and Methods: All patients included in this study were referred to the Department of Oral and Maxillofacial Surgery, Faculty of Oral & dental Medicine, Cairo University for rehabilitation with dental implants. Inclusion criteria comprised: Missing mandibular premolar or molar area with a buccal osseous and soft tissue defect. The adjacent teeth had to be uncompromised with healthy gingival conditions. The exclusion criteria were patients who did not need bone grafting before implant placement. There were 10 patients (6 men and 4 women), with a mean age of 32 years (range, 18-60 years), who fulfilled the inclusion criteria and were consecutively included in the study. All patients were healthy and had no systemic contraindications to implant placement. They received standard treatment planning and diagnosis and gave signed informed consent. All 10 patients had an osmotic soft tissue expander implanted in the area with osseous and soft tissue defect, prior to bone grafting using bovine bone graft. Linear and volumetric measurements of the bone grafts were recorded immediately following bone graft and 6 months post grafting using cone beam CT scans.Results: 10 sites in 10 patients were treated with soft tissue expansion using self inflating hydrogels. Complications of soft tissue expansion were only perforation (two sites), and no infection was noted. Primary wound closure was easily attained during bone augmentation procedure with no incidence of graft exposure, infection, or loss. It also allowed for good vertical bone height gain for implant placement. Volumetric measurements showed that an average mean of 1.36 cm3 mandibular ridge augmentation was established immediately Post bone grafting and 1.19 cm3 6 months after bone grafting. These measurements concluded that only 15.7% bone resorption occurred 6 months after bone grafting indicating good survival of the xenogenic bone graft.Conclusion: The use of Osmed self-inflating tissue expander prior to bone augmentation and implants insertion allowed sufficient amount of mucosa that can cover the grafts and implants without tension or compromise to the periosteum and ensued minimal bone graft resorption in severely atrophied alveolar ridges.
Fuel Production from LDPE-based Plastic Waste over Chromium Supported on Sulfated Zirconia

The preparation, characterization, and catalytic activity test of sulfated zirconia (SZ) modified with chromium for the hydrocracking of LDPE-based plastic waste have been investigated. SZ was prepared by wet impregnation method using zirconia nanopowder (ZrO 2 ) and H 2 SO 4 solution. SZ was further modified with chromium (0.5, 1.0, and 1.5% wt.%) by refluxing in aqueous solution of Cr(NO 3 ) 3 ·9H 2 O, followed by calcination and reduction processes. The prepared catalysts were characterized by SEM-Mapping and TEM. Hydrocracking of LDPE-based plastic waste was conducted at various temperatures and various catalysts. In addition, the optimum catalyst was repeatedly used for the reaction to demonstrate the stability of the catalyst. Liquid products obtained by hydrocracking were characterized by GCMS. The results showed that the morphology of the prepared catalysts had different sizes and disordered shapes after the addition of sulfate and Cr. The effective temperature for hydrocracking was 250 °C. The highest selectivity to liquid product and gasoline fraction were 40.99 and 93.42 wt. %, respectively, and were obtained over Cr/SZ with 1.0 wt. % Cr. Hydrocracking of plastic waste over the used Cr/SZ catalyst with 1.0 wt. % Cr showed that the Cr/SZ catalyst was stable and reusable up to three repetitions.
Oral Rivaroxaban Versus Standard Therapy in Acute Venous Thromboembolism Treatment for Vietnamese Patients

BACKGROUND: Direct oral anticoagulant-rivaroxaban may provide a simple, fixed-dose therapy for the management of hospital-acquired, acute venous thromboembolism (VTE) and for extended treatment, its use could skip lab observation and/or parenteral treatment. AIM: Compare the efficacy and safety (EAS) of RIV vs. standard therapy (SDTD) in a cohort of Vietnamese patients diagnosed with symptomatic, acute VTE. METHODS: An open-label, case-control, prospective study was conducted to check the efficacy and safety (EAS) of oral rivaroxaban (RIV) alone (15 mg 2 times/day for 3 weeks, then 20 mg 1 time/day) in a comparison to the standard therapy (STDT) (enoxaparin 1.0 mg/kg 2 times/day combining with vitamin K antagonist). Patients were treated for 6 months and followed-up for suspect reoccurring VTE and bleeding. RESULTS: A total 187 patients were enrolled into study. 83 were provided rivaroxaban and 104 received enoxaparin overlapping with vitamin K antagonist (VKAs). Recurrent VTE occurred in 3 (3.6%) rivaroxaban-received patients compared with 5 (4.8%) standard-treatment received patients (OR: 0.74, 95% CI, 0.17 to 3.20, p > 0.05). Major bleeding events were found in 1 (1,8%) and 4 (3.9%) cases in the RIV treated and STDT cohort, respectively (OR: 0.30, 95% CI, 0.03 to 2.76, p > 0.05). CONCLUSION: The finding of this study in Vietnamese patients with acute VTE presented comparable EAS profile with RIV versus STDT, consistent with those found in global population.
Cross Attentive Collaborative Filtering for Recommender Systems

The information on the Internet is increasingly complicated, users can not use the search engine to accurately find effective information. But the emergence of the recommendation system can effectively alleviate this problem. Algorithms such as collaborative filtering have a large drop in recommended quality when user ratings are sparse. We propose a novel cross attentive collaborative filtering model. Our model can learn more about the potential relationships between users, items and ratings. To validate the validity of the algorithm model, experiments were performed on public datasets. The experimental results show that the mae and rmse index have decreased.
R&D intensity and intangible assets effect on capital structure : an empirical analysis of the it services industry

In the 21st century, firms aim to meet consumer preferences in an absurdly rapid manner with new technological products and solutions. Innovation from R&D investments has become increasingly important to meeting this demand. Furthermore, as more firms become technology-minded, intangible assets constitute growing parts of their total assets. In this thesis, we analyse the effect of these increasingly important factors (i.e., R&D intensity and intangible assets) on capital structure for the IT services industry. In addition to analysing intangible assets and the R&D intensity effect, we also investigate the impact of macroeconomic factors on capital structure. We include commonly known determinants of capital structure as control variables in a panel data regression to a sample of 808 globally listed IT services firms. Country-specific R&D tax subsidy rates work as a natural experiment, and we utilize this in a two-stage least squares (2SLS) estimation to establish a causal relationship between R&D intensity and debt and equity issuance. The results are analysed in light of theories and empirical studies related to capital structure. Our findings suggest that IT services firms tend to have lower leverage ratios than other industrial companies from G7 countries, and that the standard determinants of capital structure have the same effect on leverage that previous studies have indicated. By including macroeconomic factors, we observe a countercyclical debt ratio among IT services firms. Regarding intangible assets, we find a positive relationship to leverage ratio, debt and equity. This relationship implies that creditors view such assets as collateral, thus supporting a higher leverage ratio. We document that firms with high R&D intensity tend to issue more equity and less debt, thereby lowering their overall leverage ratio. However, the results are not robust for firm-fixed effects, and we cannot fully conclude that R&D intensity and intangible assets effect debt or if they are part of determining the capital structure of listed IT services firms.