Miracle-dz/UniFAR-FTUs huggingface dataset:
Tercile forecasts for extending the horizon of skillful hydrological predictions

Medium to sub-seasonal hydrological forecasts contain more information relevant to water and environmental management tasks than climatological forecasts. However, extracting this information at the most appropriate level of accuracy and spatio-temporal resolution remains a difficulty. Many studies show that the skill of the extended range forecasts with daily resolution tends towards zero after 7 to 14 days for small mountainous catchments. Beyond that forecast horizon the application of highly sophisticated pre- and post-processing methods generally produce limited gains. Consequently, current forecasting techniques cannot effectively represent forecast extremes at extended ranges such as anomalously high and low runoff or soil moisture. To tackle these deficiencies, this study analyses the value of tercile forecasts for weekly aggregates of runoff and soil moisture forecasts available at a daily resolution for Switzerland. The forecasts are classified into three categories: below, above and normal conditions, which are derived from long-term simulations and correspond approximately to climatological conditions. To achieve improved reliability and skill of the predicted tercile probabilities, a nonparametric probabilistic classification method has been tested. It is based on Gaussian Process (GP), which is attractive in Machine Learning (ML) applications because of its ability to estimate the predictive uncertainty. The outcome of these post-processed forecasts was compared to pre-processing methods where the meteorological predictions are statistically corrected before passing to the hydrological model. Our results indicate that tercile forecasts of weekly aggregates produce a suitable skill up to three weeks lead time using the pre-processed input and up to four weeks lead time using the GP method.
Evaluating spatial accessibility to healthcare services from the lens of emergency hospital visits based on floating car data

ABSTRACT Public medical facilities that are closely related to the health of residents have been recognised as one of the most crucial elements in sustainable urban planning. For the sake of social equality of medical services (especially for emergency medical conditions), the spatial distributions of medical resources need to be accurately measured and continuously optimized. This study presents an effective method to examine night emergency hospital visit and analyse its spatiotemporal characteristics using float car data (FCD). By extracting the hospital service areas, the two-step floating catchment area (2SFCA) methodology was improved to calculate hospital accessibility. Then, the balance between hospital accessibility and population density was analysed. In addition, we investigated the relationship between individual hospital choice preferences and hospital level and analysed several factors that affect individual choices. These results help us understand the special requirements and need of emergency hospital travel in cities and identify areas where medical resources are scarce. They can be used as guidance for urban hospital planning and construction. And the approach of hospital access behaviour investigation and the improved 2SFCA method can also provide insights for other activity-based travel behaviour research.
A Plan to Document and Treatment an Archaeological Pottery Amphora from Early Dynastic - Helwan Cemetery

This research is concerned with putting a plan for documenting and treating an Archaeological pottery Amphorae, dating back to Early Dynastic. It was discovered in Helwan Cemetery, which is considered one of the most important Archaeological sites in Egypt, and has not yet revealed all its secrets. The pottery Amphorae was exposed to physical and chemical damage during burial and after excavation, from interactions with various damage factors. The damage extent after excavation has varied between the effect of the burial residues inside and outside the Amphorae, the cracks in the thickness of the body showing, clearly, in addition to the effect of high relative humidity with high temperature degrees on the crystallization of salts on the internal and external surface and between the crystals of the body which led to crusting and flaking off the surface. The components of the damaged pottery Amphorae will be identified through the use of different methods of documentation such as AutoCAD and other methods, and then the appropriate examination and analysis methods to identify the damage products, and then choice the treatment plan, using the Digital Optical Microscope, the Scanning Electron Microscope with the energy dispersion unit SEM-EDX, X-Ray Diffraction (XRD) to identify the crystallized mineral compounds to the body or deteriorate products, as well as differential thermal analysis (DTA) to determine the approximate firing degree, because they have an important role in determining the steps and the materials of treatment. It is recommended through this study that the treatment plan is suitable for the conditions in which the Amphorae will be present, whether it will be in storage or exhibition environment.
Assessing the Quantity and the Quality of Ozonated Olive Oil and Studying its Shelf-life Stability

Ozonated oils have received an increasing interest lately due to the importance of their products in medicine. Therefore, Quantitative and qualitative analysis of ozonated olive oil was applied, and its shelf-life stability study was also performed to ascertain its effectiveness. For qualitative determination, physical tests (density and viscosity), as well as 1H-NMR spectroscopy were applied. For quantitative determination, Ozone Efficiency method was used, after it was validated, throughout peroxide value. Ozone Efficiency method was basically used as a new method for monitoring the stability of the ozonated olive oil, and it was supported by Acidity Value method. Ozone Efficiency method was evaluated for linearity, accuracy, and precision according to ICH guidelines. Validation results showed that Ozone Efficiency method gave accepted linearity (R2= 0.9984), with excellent mean recovery values (98-102%), and precision with RSD% < 2%. Shelf-life stability study was conducted for six months, with storage temperature control. For stability study results, it was noticed that Ozone Efficiency and Peroxide values decreased while Acidity values increased. These changes were faster at higher temperature. Therefore, the temperature of storage should be lower, and appropriate excipients should be studied to be added to the ozonated olive oil. In addition, the results showed that Ozone Efficiency method is better and more effective than Acidity Value method in monitoring the stability of the ozonated oil.
Desempenho de Novilhos em Pastagens de Brachiaria decumbens Submetidos a Diferentes Regimes Alimentares

An experiment was conducted at the Brazilian Agricutural Reserch Corporation (EMBRAPA) National Center for Research on Beef Cattle (CNPGC) , Campo Grande, MS, Brazil, on Brachiaria decumbens pastures. The objectives were to evaluate systems seeking to reduce the slaughter age and to determine in which phase of animal's life would feeding supplementation be more economic. Sixty Nellore weaned calves were randomly assigned in the following treatments: A) no supplementation; B) supplementation during the first dry season after weaning; C) supplementation during the second of the animal's life; D) supplementation during both dry seasons; and E) supplementation during the first dry season and feedlot in the second one. The experimental period was from weaning to slaughter (440 kg). The supplement utilized was 75% of grounded corn ear and 25% of soybean meal mixture, supplied daily at about 0,8% of liveweight. The confined steers received, ad libitum, a diet containing 60% of corn silage and 40% of concentrate (73% corn grain, 25% soybean meal, 1% urea and 1% sodium bicarbonate). During the first dry season, the supplemented calves showed higher daily gains than those not supplemented 1030 and 320 g, respectively. In the second dry season, the confined steers presented the highest daily gains (1080 g), followed by supplemented ones (582 g), while steers being not supplemented lost weight (- 94 g). In both wet seasons, the steers not supplemented during the previous dry season presented compensatory gains; however, even the higher gain was not enough to allow them to reach the slaughter point at the same age, since these steers extended the time needed to reach slaughter weight: 35.3; 30.6; 28.7; 26.6 and 22.6 months, for treats A, B, C, D, and E, respectively. An economical analysis was performed to detect the benefits from weight gain as well as the applicable costs for each treatment, considering time of the monetary value during the production process. Supplementary feeding, either combined with confinement or not, is ecomomically feasible. The treatment with highest net present value (NPV) was D, animals supplemented on pasture during the two dry seasons, whereas A, animals never supplemented, resulted in the lowest NPV.
EFFECT OF PLANT POPULATION ON MAIZE HYBRIDS

The experiment was conducted at Malakandher Research Farm, NWFP Agricultural University, Peshawar during summer 2000. It was replicated 4 times in RCB Design with split plot arrangement having plot size of 3 x 3.5m. The maize hybrids included in the experiment were Pioneer 3025, Cargill 707, Cargill 922 and Baber while plant to plant spacing was 15, 25, 35 and 45cm. Emergence m ², number of cobs per plant, cob weight, grain yield (kg ha -1 ) and harvest index were significantly affected by hybrids. Hybrid Pioneer had Emergence m - ² (10) significantly higher number of cobs plant -1 (1.14), cob weight (324g), grain yield (3275kg ha -1 ) and higher harvest index (24) as compared with other hybrids. Various spacing had significantly affected emergence m - ², cobs/m², grains cob m -1 , cob weight and biological yield while the effect on other parameters was non-significant. Spacing of 15cm had significantly more emergence m ² (10), number of cob per m² (10), lower grains cob -1 (343), lowest cob weight (227g) but higher biological yield (15691kg ha -1 ). Interaction of hybrid Pioneer and 25cm give highest grain yield ha -1
Deteksi Objek dengan Model Warna Ycbcr dan Similiarity Distance

Deteksi object menjadi hal menarik untuk diteliti, namu deteksi object tidak lepas dari proses segmentasi untuk melepaskan background dengan area penting untuk dideteksi. Dalam peneltiian ini kami menggunakan segmentasi warna YCbCr dengan kluster warna 2 dan 3 dari metode K-Means pada 139 image dari dataset ImageClef2017. Images yang kami ambil memiliki karakteristik background yang kompleks sehingga membutuhkan operator-operator selain metode dari segmentasi warna seperti holes, filter dan openarea. Kami juga menggunakan pendekatan jarak dari Manhattan distance untuk mengkluster warna. Tujuan dari penelitian ini untuk mendapatkan nilai akurasi terbaik dari kluster-kluster yang kami teliti. Hasil yang kami peroleh adalah kluster 3 mendapatkan akurasi lebih baik dibandingkan kluster 2.
Association between a history of child neglect, abuse and the suicidal patient: a cross-sectional study

Objective: People with a significant childhood history of abuse may exhibit emotional dysregulations and psychiatric disorders and, in some cases, present suicidal ideation. Methods: In this descriptive-analytical and cross-sectional study data were collected from suicidal patients referred to two grand hospitals in 2019. One hundred ninety-five participants were evaluated concerning child abuse and neglect history. Data were reported as mean, SD, frequency, and percent. T-test and chi-square tests were used for statistical analyses accordingly. Results: Child abuse regarding suicidal people were to the following order, neglect (n=103), child emotional abuse (n=102), child physical abuse (n=101), malnutrition (n=96), and child sexual abuse (n=87). Suicide was different between the two genders, but it was not different based on parents’ education and marital status. Conclusion: The harassed child is not equipped with proper behavioral skills and is subjected to low self-esteem due to incorrect training. Therefore, he/she may commit suicide in adolescence by facing some problems and failures. In this regard, community plays an important role, parents must be informed and use the right culture to reward the child.
Interprofessional education in interpreter training

Interpreters work with clients from many professions and in different contexts and settings. A facilitator of interpreters’ ability to provide an optimal interlingual transfer of another’s speech or signing is possessing knowledge of other professionals’ perspectives and goals. Interprofessional education is a teaching or learning method that includes learning activities in which trainees from two or more disciplines interact with each other in real or simulated settings. This article reports on the participation of interpreting students in interprofessional education with medical and social work students over a three-year period. Responses were obtained from 109 interpreting students across four medicine–interpreting and three social work–interpreting sessions relating to their perception of the roles of the other student groups pre- and post-intervention and how best to work with each group. Thematic analysis of the data revealed that pre-intervention knowledge of the doctors’ work was significant while knowledge about social work was varied; there were high levels of agreement that knowledge of the other group had increased post-intervention; future intentions were related to greater awareness of a briefing, applying knowledge of the relevant genre of spoken interaction, the need for the allophone interlocutors to establish rapport with each other, and awareness of source speakers’ tone and intent in addition to form and content.
A Fuzzy Multi-Criteria Decision-Making approach for the assessment of forest health applying Hyper Spectral Imagery: A case study from Ramsar forest, North of Iran.

The hyperspectral images have so far been widely utilized in monitoring and detecting the changes in a broad range of environmentally related matters. The hyperspectral image analysis yields maps that show spatial dispersion of physical and ecological characteristics of the terrain. Within the scope of the current study, an integrated Fuzzy-MCDM in a Geographic Information Systems (GIS) platform was used to map the health condition of Ramsar forest. Spectral indices can provide different methods for identifying vegetation coverings. For forest health analysis, spectral indices such as NDWI, CRI1, PSRI, PRI
Variational Bayesian inference for binary image restoration using Ising model

In this paper, the focus on the removal noise in the binary image based on the variational Bayesian method with the Ising model. The observation and the latent variable are the degraded image and the original image, respectively. The posterior distribution is built using the Markov random ﬁeld and the Ising model. Estimating the posterior distribution is the same as reconstructing a degraded image. MCMC and variational Bayesian inference are two methods for estimating the posterior distribution. However, for the sake of computing e ﬃ ciency, we adapt the variational technique. When the image is restored, the iterative method is used to solve the recursive problem. Since there are three model parameters in this paper, restoration is implemented using the VECM algorithm to ﬁnd appropriate parameters in the current state. Finally, the restoration results are shown which have maximum peak signal-to-noise ratio (PSNR) and evidence lower bound (ELBO).
Learning styles and task preferences in online language courses: Match or mismatch?

Despite the widespread recognition of learning styles (LSs) in online language learning contexts, there seems to be a paucity of research on their direct role in learners’ task preferences. Therefore, this article aims to investigate the role of LSs in learners' preferences for the specific tasks added to the typical online English learning classrooms. To accomplish this objective, data were collected through a questionnaire of LSs, task ratings and semi-structured interviews. The quantitative data revealed learners with certain dominant LSs had preferences for tasks with features consistent with their individual characteristics. The thematic data analyses went further by showing that an awareness of LSs could help learners better select their preferred tasks. It is concluded that online instructors could use tasks with specific features based on the learners’ LSs and help them have an awareness of their individual characteristics in order that they can benefit more from the instructional materials. Keywords: Learning styles, online classroom, task design, individual differences, task features
Comparison of Predictive Models with Balanced Classes Using the SMOTE Method for the Forecast of Student Dropout in Higher Education

Based on the premise that university student dropout is a social problem in the university ecosystem of any country, technological leverage is a way that allows us to build technological proposals to solve a poorly met need in university education systems. Under this scenario, the study presents and analyzes eight predictive models to forecast university dropout, based on data mining methods and techniques, using WEKA for its implementation, with a dataset of 4365 academic records of students from the National University of Moquegua (UNAM), Peru. The objective is to determine which model presents the best performance indicators to forecast and prevent student dropout. The study aims to propose and compare the accuracy of eight predictive models with balanced classes, using the SMOTE method for the generation of synthetic data. The results allow us to confirm that the predictive model based on Random Forest is the one that presents the highest accuracy and robustness. This study is of great interest to the educational community as it allows for predicting the possible dropout of a student from a university career and being able to take corrective actions both at a global and individual level. The results obtained are highly interesting for the university in which the study has been carried out, obtaining results that generally outperform the results obtained in related works.
Evaluation of Bone Height Changes in Three Implants Retained Mandibular Overdenture Using Three Different Attachment Design. A Randomized clinical trial.

Introduction: The use of more than two implants for mandibular overdentures will improve the retention and stability. The aim of this randomized clinical trial was to compare bone height changes around three implant retained mandibular overdentures using ball, locator and telescopic attachment Materials and Methods: Twenty-four completely edentulous patients were seeking to install three implants in the edentulous mandible to improve retention of their complete dentures. Three implants were installed in the canine-premolar areas bilaterally and one in the midline. Three month healing period was allowed, and then patients were randomized using sealed envelopes into three groups; patients receiving ball attachments, patients receiving locator attachments and patients receiving telescopic attachments. Bone height changes were recorded using standardized peri-apical x-rays at the day of pick up, at 3, 6 and 12 months follow up. One Way ANOVA test was used followed by Tukey`s Post Hoc test for multiple comparisons. Two sided p values less than 0.05 was considered statistically significant. Results: At 6 and 12 month follow up the middle implant showed greater significant bone height changes than the right and left implants in all of the three groups. Ball attachment group showed a greater significant bone height changes when compared to the locator and telescopic attachment group at 6 and 12 month follow up. Conclusion: The implant installed in the mid line showed the greatest significant bone height changes and the ball attachment have experienced the greatest significant bone height changes after 12 month follow up period.
Robust discrete‐time fractional‐order control for an unmanned aerial vehicle based on disturbance observer

In this article, a robust discrete‐time fractional‐order tracking control scheme based on a discrete‐time disturbance observer (DTDO) is proposed for an unmanned aerial vehicle (UAV) system in the presence of unknown bounded variation disturbances. A DTDO is first constructed to estimate the unknown bounded disturbance. On the basis of the output of the DTDO and the discrete‐time fractional‐order theories, a robust discrete‐time fractional‐order control scheme is then designed by using the backstepping control technique for a discrete‐time UAV system with disturbances. The proposed control scheme is expected to guarantee the stability of the closed‐loop system with all system signals bounded. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed control scheme.
The Gulf states will face new labour force challenges

Significance The onset of the COVID-19 pandemic hit the expatriate workforce in the Gulf Cooperative Council (GCC) disproportionally harder than nationals in the same countries. This resulted in migrants leaving the countries in significant numbers. Governments responded to increased xenophobic rhetoric within their countries by relaunching workforce nationalisation policies. Impacts Changing migrant demographics could lower the level of remittance flows to South Asian countries. Flows of nationals between the GCC states could increase, replacing educated skilled migrants from other Arab countries. Despite labour force nationalisation policies, remittance outflows from the Gulf states will increase in 2022.
Traditional and Phytochemical Bases of Herbs, Shrubs, Climbers, and Trees from Ethiopia for Their Anticancer Response

Ethiopia is one of Africa's six plant-rich countries, with around 60% of the plants being indigenous and most of them having medicinal properties. 80% of people in the country use these plants as a primary health care system to tackle different diseases, including cancer. This review is aimed at summarizing the evidence gained from diverse MPs in Ethiopia that have been used ethnobotanically and ethnopharmacologically for treatment of cancer. The primary data sources were Google Scholar, Web of Science, Science Direct, Scopus, PubMed, and other electronic scientific databases. This literature review showed that there are around 200 MPs used as anticancer. Seventy-four herbs, 39 trees, 77 shrubs, and 17 weed/climbers belonging to 56 families have been identified for their ethnobotanical anticancer potential, and 31 species were recognized for their pharmaceutically anticancer activities. The reviewed data also indicated that many Ethiopian MPs had been used to treat breast, lung, blood, and skin cancers and other tumors. Besides, the collected data showed that the leaves (36.76%), roots (27.2%), bark (12.5%), stem (5.1%), and fruit (7.35%) of plants are commonly used for the preparation of anticancer remedies. Among the reported plant species, Euphorbiaceae (10.71%), Acanthaceae (7.14%), and Asteraceae (7.1%) are the most prominent plant families being used to treat cancer ethnobotanically. Phytochemicals such as flavonoids (like xanthone, indirubin, flavopiridol, and silybin), alkaloids (like taxol, vincristine, evodiamine, and berberine), and physalin B, D, and F steroids exhibited anticancer activity on various cancer cell lines. The crude extracts of Aerva javanica, Vernonia leopoldi, Withania somnifera, Kniphofia foliosa, and Catharanthus roseus were powerful anticancer agents with an IC50 value below 10 μg/mL. Although several Ethiopian plants possess anticancer potential, only a limited number of plants are scientifically studied. Therefore, more scientific studies on anticancer MPs should be carried out; it may lead to discovering and isolating cost-effective and safe anticancer drugs.