Miracle-dz/UniFAR-FTUs huggingface dataset:
ASSESSMENT OF GLYCEMIC INDEX AND CHEMICAL CHARACTERIZATION FOR FIVE EGYPTIAN DATE FRUITS VARIETY

Date palm (Phoenix dactylifera) is one of the oldest trees cultivated by human; Egypt has been ranked as the first country in the production of dates, soft, semi dry and dry date cultivars are cultivated in wide area of Egypt. Therefore, this work was carried out to determine the Glycemic Index (GI) and Glycemic Load (GL) of five Egyptian varieties of date fruit in healthy subjects. Chemical composition analysis was carried out for five types of date fruit (Partamoda, Malakabi, Saadi, Zaghluol and Samani); also, antioxidant power was determined. The study subjects were ten healthy volunteers, each subject was tested on six separate visits with 50 g of glucose and 50 g equivalent of available carbohydrates from the five date varieties. Capillary glucose was measured in the healthy subjects at 0, 30, 60 and 120 min. The GI was determined as ratios of the incremental areas under the response curves for the dates compared to glucose. Collecting data showed that Egyptian varieties of date fruit contain a good nutrients and antioxidant power. Among the five Egyptian varieties of date fruit, the chemical characteristics by moisture content in fruits was the highest in Samani date fruit and lowest in Partamoda dates; also, the five Egyptian varieties of date fruit contain available carbohydrate (7.4% - 69.2%), proteins (1.85 % - 7.0 %), total dietary fiber, TDF (11.82% - 15.63%) and Energy value (76.2 - 297.9 Kcal/100g). The antioxidant activity ranged between 52.61 and 79.12% as scavenging activity for free radicals; also, dates rich in phenols. The medium GI was recorded by Malakabi followed by Saadi and Partamoda which had high GL; while, the lowest GI was recorded for soft date fruit (Zaghluol and Samani) which had medium GL. These findings point to the potential benefits of Egyptian date fruit for healthy subjects when used in a stable healthy diet.
A Clas of A-Stable Runge-Kutta Collocation Methods for the Solution of First Order Ordinary Dierential Equations

This paper presented a class of A-stable Runge-Kutta collocation methods with three free parameters for the solution of first order ordinary differential equations. Power series was considered as its basis function, adoption of interpolation and collocation of the approximate solution at some selected grid points to give system of equations was also considered. Gaussian Elimination method was used to solve for the unknown parameters and substituted into the approximate solution to give the continuous method. The three cases considered are the Guass, the Lobatto, and the Radau types. Analysis of the methods was made based on order, zero stability, consistence and convergence. The derived schemes were implemented in the Predictor-Corrector mode. Comparison with existing methods showed that the new developed Schemes compete favorably.
Terapia fotodinâmica: revisão de literatura

Among the most recent therapeutic modalities investigated in the scientific community, stands the photodynamic therapy. It has been used for destruction of tumor cells and microorganisms inactivation, with great prospects in different fields of Medicine, Dentistry and most recently in Veterinary Medicine. The purposes of this review are to address the world literature and inform veterinarians about photodynamic therapy and its possible applications in veterinary medicine.
OPTIMIZATION OF THE REGULARIZATION OF THE SOLUTION OF THE PLATE HEAT TRANSFER PROBLEMS

Optimization of the regularization of the Fourier series in case of steady state heat transfer plate problem and heat transfer insulated plate problems are investigated and the regularization of the series solutions at a fixed point of the plates are studied at initial time and critical index. ****************************************************************************************** Pengoptimuman aturan siri Fourier telah dikaji pada keadaan tetap masalah plat pindah haba dan plat penebat pindah haba. Penyelesaian bersiri secara aturan pada titik tetap plat telah dikaji pada masa mula dan indeks penting.
Validation of the Spanish version of multidimensional inventory of perfectionism in young footballers Validación de la versión española del inventario multidimensional de perfeccionismo en jóvenes futbolistas

The Multidimensional Inventory of Perfectionism in Sport (MIPS) is one sport specific measure of perfectionism developed on the basis of a combination of different multidimensional models. This study assesses the psychometrics of the MIPS in a Spanish sample of young footballers. Participants were 429 Spanish football players with ages ranging from 9 to 13 years. Confirmatory factor analyses showed that a two-dimensional model obtained adequate fit indices and Cronbach’s alpha coefficients showed acceptable levels of internal reliability. The criterion and convergent validity of the Spanish MIPS analysed in young footballers was also confirmed via its association with measures of sport anxiety, contingent self-worth and additional perfectionism dimensions. The results of this study suggest that the Spanish version of the MIPS to be used with young footballers is a well-adapted and adequate, reliable and valid sport specific instrument.
Clinical manifestations of primary and secondary dengue in Paraguay and its relation to virus serotype.

INTRODUCTION Dengue virus (DENV) infection is currently a major cause of morbidity in the world, and its incidence has mainly increased during the last years in Latin America, including Paraguay. The objective of this study was to compare the clinical and laboratory findings of dengue and assess whether the serotype is a risk factor for severity. METHODOLOGY We included patients ≤ 15 years old hospitalized with dengue at the Institute of Tropical Medicine, from Paraguay, from 2007 to 2018. Patients were classified according to the 2009 WHO dengue classification guidelines and were stratified by serotype into three groups according to the hospitalization period: the 2007 epidemic (DENV-3), the 2012-2013 epidemic (DENV-2) and the 2016-2018 epidemic (DENV-1). RESULTS Of 784 children hospitalized for dengue, 50 cases (6.3%) were caused by DENV-3, 471 (60%) by DENV-2, and 263 (33.5%) by DENV-1. Myalgias and headache were associated with DENV-3 cases and abdominal pain was associated with DENV-2 cases. Bleeding was observed mainly in DENV-1 and 2 cases. Patients with DENV-2 infections experienced more severe disease, required fluid expansion more frequently, and exhibited more often shock and admission in the ICU. Secondary cases of dengue were more severe that primary cases. Patients with infection by DENV-2 had longer hospital stays (5.1 ± 2.8 days) when compared to DENV-3 o DENV-1 infection cases (2.9 ± 1.6 days and 4.36 ± 2.7 days, respectively) (p < 0.05). CONCLUSIONS The DENV serotype has a profound impact on the clinical manifestations and severity of dengue. DENV-2 infections were associated more frequently to requirement of fluid expansion, shock, and longer hospital stay.
Research on Curved Path Tracking Control for Four-Wheel Steering Vehicle considering Road Adhesion Coefficient

Curved path tracking control is one of the most important functions of autonomous vehicles. First, small turning radius circular bends considering bend quadrant and travel direction restrictions are planned by polar coordinate equations. Second, an estimator of a vehicle state parameter and road adhesion coefficient based on an extended Kalman filter is designed. To improve the convenience and accuracy of the estimator, the combined slip theory, trigonometric function group fitting, and cubic spline interpolation are used to estimate the longitudinal and lateral forces of the tire model (215/55 R17). Third, to minimize the lateral displacement and yaw angle tracking errors of a four-wheel steering (4WS) vehicle, the front-wheel steering angle of the 4WS vehicle is corrected by a model predictive control (MPC) feed-back controller. Finally, CarSim® simulation results show that the 4WS autonomous vehicle based on the MPC feed-back controller can not only significantly improve the curved path tracking performance but also effectively reduce the probability of drifting or rushing out of the runway at high speeds and on low-adhesion roads.
Archaeal and methanogenic communities in the rice field under different fertilizer applications

Fatma YS, Rusmana I, Wahyudi AT, Hamim. 2019. Archaeal and methanogenic communities in the rice field under different fertilizer applications. Biodiversitas 20: 3667-3675. The archaeal community in the soil surrounding rice roots plays key roles in biogeochemical cycles. Methanogenic archaea contribute to CH4 production in the rice field and control CH4 emission rates; an important greenhouse gas significantly emitted from the rice field. Characteristic of archaeal and methanogenic community in Indonesian rice field has not been well documented. In this study, rice plants grown in the rice field were treated with two different fertilizer applications, i.e., 100% urea without biofertilizer (250 kg ha) (B0), and 50% urea (125 kg ha) with biofertilizer consisted of methanotrophic bacteria and N2O-reducing bacteria (B1). Soil archaeal community of the two types of fertilization was characterized over the rice-growing period using 16S rRNA amplicon sequencing. The succession and dynamic of the archaeal population were detected in each of the two treatments before fertilizer application (0 days after transplanting [DAT]) until the rice generative phase (69 DAT). During the period, the archaeal soil community in both treatments was dominated by Crenarchaeota. The relative abundance of putative methanogens was higher in the B0 treatment than that of B1 treatment. Within the methanogenic community, Methanosarcinaceae and Methanomassiliicoccaceae which found as most dominant group in both treatments were presumably to be important contributors to CH4 emission. The application of 50% urea with biofertilizer (B1) changed the structure of the archaeal and methanogenic community in the rice field compared to the application of 100% urea (B0).
Targeting apoptosis-inducing factor as a novel therapeutic strategy for preventing perinatal brain injury

Perinatal complications such as asphyxia can cause brain injuries that are often associated with subsequent neurological deficits such as cerebral palsy or mental retardation. The mechanisms of perinatal brain injury are not fully understood, but mitochondria play a prominent role, not only due to their central function in metabolism, but also because many proteins with apoptosisrelated functions are located in the mitochondrion. Among these proteins, coiled-coil-helix-coiled-coil-helix domain-containing protein 4 (CHCHD4) and apoptosis-inducing factor (AIF) have already been shown to make important contributions to neuronal cell death upon hypoxia-ischemia, but a better understanding of the mechanisms behind these processes is required for the development of improved and more effective treatments during the early stages of perinatal brain injury. By inducing hypoxia-ischemia in 9-day-old mice, leading to moderate brain injury, we studied these mechanisms from multiple perspectives. The first study of the PhD project was to determine the effect of chchd4 haploinsufficiency, and we showed that neonatal mice with this genotype experienced less brain damage due to reduced translocation of the apoptosisrelated proteins AIF and Cytochrome c from the mitochondrion to the cytosol or nucleus. The second study was to determine the role of a newly discovered AIF isoform (AIF2), which is only expressed in the brain and the functions of which are unknown. By using Aif2 knockout mice, we showed that under physiological conditions there is an increase in Aif1 expression (the ubiquitously expressed isoform) due to a compensatory effect of loss of Aif2 expression. As a result, these mice showed a higher degree of brain damage after hypoxia-ischemia and were more vulnerable to oxidative stress. AIF acts as a free radical scavenger, and from our results it is likely that the AIF2 isoform is more effective serving this task, while AIF1 is a more effective proapoptotic protein. The third study used another transgenic mouse in which Aif was overexpressed by knocking in a proviral insertion of Aif. Our results showed that the insertion increased the expression of Aif1 without affecting the expression of Aif2. This mouse also showed a higher degree of brain damage and higher levels of oxidative stress. Finally, we used a peptide designed to block the apoptotic function of AIF without affecting its pro-survival role. The results in young mice showed that the neuroprotective effect of the peptide was greater in male mice than in female mice. In conclusion, this PhD project has opened new perspectives in the comprehension of the mechanisms by which CHCHD4 and AIF are crucial proteins for brain damage after hypoxia-ischemia, and it has showed that AIF is a promising therapeutic target for improving outcome after perinatal brain injury.
“To Learn or not to Learn”: Deep Learning for predicting non-stationary channel

Modern wireless systems are increasingly dense and mobile that makes the channel highly non-stationary, rendering conventional receivers sub-optimal in practice. Predicting non-stationary channels is rare in literature, especially with iterations on channel state feedback from the receiver. This research builds prescience in a transmitter that will make ultra low latency applications reliable by pre-compensating the waveform according to the impending channel impairments. This work explores the apparatus of deep reinforcement learning to understand when is learning beneficial and the limits of error performance of non-stationary channels when predicted using sparse, noisy and corrupt channel state information from the receiver. ACM Reference Format: Maqsood Ahamed Abdul Careem. 2020. “To Learn or not to Learn”: Deep Learning for predicting non-stationary channel . In Proceedings of ACM Conference (Conference’17). ACM, New York, NY, USA, 2 pages. https: //doi.org/10.1145/nnnnnnn.nnnnnnn
Population genetic structure of the sheath blight pathogen Rhizoctonia solani AG-1 IA from rice fields in China, Japan and the Philippines

Sheath blight, caused by the fungal pathogen Rhizoctonia solani AG-1 IA is one of the most important rice diseases worldwide. The objetives of this study was to determine the predominant reproductive system and the genetic structure of 18 rice-infecting populations of R. solani sampled from China, Japan and the Philippines, the most important rice production countries in Asia. Knowledge about the population genetic structure of the pathogen in Asia is useful in identifying sources of infection and formulating sustainable management strategies for rice sheath blight. From a total of 717 isolates, 423 unique multilocus genotypes were detected based on nine microsatellite loci. The three country populations of R. solani AG-1 IA exhibited a mixed reproductive system, which included both sexual and asexual components. A moderate degree of clonality indicated that the asexual sclerotia represent important source of inoculum. Population subdivision varied within and among countries, fitting the isolation by distance model. While no subdivision was found among populations within Japan or within the Philippines, subdivision was detected among populations within China. Historic migration indicated high influx of immigrants from Japan into Northern, Central and Eastern China populations. Southern China contributed a high number of immigrants to the populations from the Philippines.
The Effect of Standardised Learning Diaries on Self-Regulated Learning, Calibration Accuracy and Academic Achievement

THE EFFECT OF STANDARDIZED LEARNING DIARIES ON SELF-REGULATED LEARNING AND ACADEMIC ACHIEVEMENT Avanelle Joseph-Edwards Old Dominion University, 2019 Director: Dr. Linda Bol The online learning environment is a dynamic yet complex learning modality. Students are physically separated from their peers, they grapple with feelings of isolation, and they may be unable to self-regulate their learning. Studies have shown that selfregulation is related to academic achievement and student metacognitive monitoring in online settings. The present study investigated the effects of a standardized diaries on students’ self-regulatory behaviors, calibration accuracy and academic achievement within an online learning environment. Using this self-monitoring and evaluation tool, forty online graduate students enrolled in a research methods course at a southeastern university in the United States participated in a semester-long experimental study. Students were randomly assigned to either a treatment or control group. The researcher used the Online Self-Regulated Learning Questionnaire (OSLQ) (Barnard-Brak, Lan, To, Paton, & Lai, 2009) to examine changes in students’ self-regulatory behavior. Calibration accuracy was used to measure metacognitive monitoring while final course grade was used to measure achievement. The one-way ANOVA revealed that students who received the intervention were significantly more accurate on their metacognitive judgements made after taking the test (postdiction) when compared to the control group. However, no significant effect of the treatment was found on self-regulated learning behaviors or academic achievement.
Metadata-based Author Name Disambiguation

— Distinguishing similar entities is contingent upon the quantum of information available about them: the more the information the easier it is to distinguish them and vice versa. Thus, attributes or metadata play an important role in distinguishing various entities and grouping or separating them. In this paper, we propose a name disambiguation mechanism that uses multiple publication attributes (metadata), including author names, publication venues, titles, etc. for solving the problem. Generally, any algorithm dealing with name ambiguity performs two major operations: determining similarity between two entities; and clustering entities on the basis of their similarity. The proposed algorithm is a hybrid clustering mechanism which uses hard clustering in the first stage and then uses soft clustering in the second to cluster the citation records. Experimental results prove the efficiency of the proposed name disambiguation mechanism. It has been observed experimentally that soft clustering is capable of handling split-citation problem to a great extent.
What Can Go Wrong When Applying Immune Modulation Therapies to Target Persistent Bacterial Infections

Antibiotics can treat the acute phase of a disease, but often do not completely clear the etiologic agent, allowing the pathogen to establish persistent infection that can revive the disease in a frustrating recurrence of infection. The mechanisms that control chronic bacterial infections are complex and involve pathogen adaptations that favor survival from both host immune responses and antibiotic bactericidal activity. Often, the causative agents of persistent infections are not drug-resistant species. Instead, bacterial persister cells temporarily enter a physiological state that is refractory to different classes of antibiotics. Supplemental therapies that potentiate antibiotic bactericidal efficiency and/or immune clearance of persistent pathogenic species may greatly improve the outcome of infectious disease. Here, we discuss the various outcomes in experimental studies in which a mega-dose of the energy-boosting vitamin B3 (nicotinamide) was applied in murine models of chronic infection to stimulate immune clearance of chronic infection or as an immune prophylactic treatment against the highly infectious pathogen, Burkholderia pseudomallei. It is our intent to raise awareness of the risks associated with immune modulation therapies. There is great variance in host immune responses to pathogenic bacteria. Each immune modulation approach needs to be tailored to a well-characterized host-pathogen interaction.
DHA Sensor GPR120 in Host Defense Exhibits the Dual Characteristics of Regulating Dendritic Cell Function and Skewing the Balance of Th17/Tregs

In addition to functioning as an antioxidant, anti-inflammatory and age-defying cellular component, DHA impacts the immune system by facilitating the pathogen invasion. The mechanism through which DHA regulates immune suppression remains obscure. In our study, we postulated that DHA might interact with GPR120 to shape the dendritic cell (DC) differentiation and subsequently drive T cell proliferation during the virus infection. In vitro, the proportion of costimulatory molecules and HLA-DR on DC that generated from exogenous and endogenous (fad3b expression) DHA supplemented mice were significantly lower than wild-type mice. Given the importance of FAs, DHA is not only a critical cellular constituent but also a cell signaling molecule and FA deficiency reduces DC generation; we used GPR120-/- mice to determine whether DHA receptor deficiency disorders DC maturation processing. Novelty, the expression of GPR120 on DC from wild-type (WT) mice was inversely related to DC activation and DC from the GPR120-/- mice maintained a spontaneous maturation status. In vivo, both the excessive activation of GPR120 by DHA and the deletion of GPR120 effectively skewed the balance of Th17/Tregs and reduced the production of VNA and protection of vaccination. Overall, our results revealed a mechanism that the GPR120 self-regulation plays a crucial role in sensing DHA variation, which provides a new prospect for therapeutic manipulation in autoimmune diseases and the design of a vaccine adjuvant.
A FRAMEWORK FOR ENHANCING THE RESPONSIVENESS TO DEFECTS VIA SPC AND WORKER EMPOWERMENT

The ultimate goal of the online quality control initiatives is to prevent the occurrence of defects or rather to detect the occurrence of defects as fast as possible in order to interfere with corrective actions. Generally, Statistical Process Control (SPC) tools such as control charts can be effectively applied to monitor the production processes and can be used as an indicator for the occurrence of assignable causes in the process which are mainly responsible for the occurrence of defects. Typically, the out of control signals resulted from control charts or other signs of developing defective items that are observed directly through visual inspection necessitate a rapid response from the shop floor operators. Meanwhile, the lack of worker empowerment and poor communication between shop floor workers and engineers as well as managers are mainly responsible for the late decisions and actions which lead to increased defect rates. This paper presents a framework that integrates SPC approaches with worker empowerment practices to enhance the responsiveness toward detected defects as well as preventing the occurrence of more ones. Besides, a case study concerned with the manufacturing of Unplasticized Polyvinyl Chloride (UPVC) pipes has been conducted to demonstrate the application of the proposed framework.