Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolving Medical Imaging Techniques for the Assessment of Delayed Graft Function: A Narrative Review

Purpose of review: Delayed graft function (DGF) is a significant complication that contributes to poorer graft function and shortened graft survival. In this review, we sought to evaluate the current and emerging role of medical imaging modalities in the assessment of DGF and how it may guide clinical management. Sources of information: PubMed, Google Scholar, and ClinicalTrial.gov up until February 2021. Methods: This narrative review first examined the pathophysiology of DGF and current clinical management. We then summarized relevant studies that utilized medical imaging to assess posttransplant renal complications, namely, DGF. We focused our attention on noninvasive, evolving imaging modalities with the greatest potential for clinical translation, including contrast-enhanced ultrasound (CEUS) and multiparametric magnetic resonance imaging (MRI). Key findings: A kidney biopsy in the setting of DGF can be used to assess the degree of ischemic renal injury and to rule out acute rejection. Biopsies are accompanied by complications and may be limited by sampling bias. Early studies on CEUS and MRI have shown their potential to distinguish between the 2 most common causes of DGF (acute tubular necrosis and acute rejection), but they have generally included only small numbers of patients and have not kept pace with more recent technical advances of these imaging modalities. There remains unharnessed potential with CEUS and MRI, and more robust clinical studies are needed to better evaluate their role in the current era. Limitations: The adaptation of emerging approaches for imaging DGF will depend on additional clinical trials to study the feasibility and diagnostic test characteristics of a given modality. This is limited by access to devices, technical competence, and the need for interdisciplinary collaborations to ensure that such studies are well designed to appropriately inform clinical decision-making.
The benefits of successive relearning on multiple learning outcomes.

Successive relearning involves repeated retrieval practice of the same information (with feedback) over multiple, spaced sessions. We implemented successive relearning in an introductory psychology class to explore potential learning benefits. After each weekly lecture, students were sent links via email to engage in three learning practice sessions, each separated by two days. Half the students engaged in successive relearning ( relearn condition), answering 20 fill-in-the-blank questions with corrective feedback. Within each session, correctly answered questions were dropped, whereas incorrectly answered questions were presented up to 2 more times. The other half of students restudied the same 20 sentences without blanks twice per session ( restudy condition). Unlike previous research, we controlled the exposure duration of the learning materials between the relearn and restudy conditions. Learning practice sessions continued throughout the remaining 10 weeks of the semester, with students alternating each week between the relearning and restudying tasks. Recall of course material at the end of the semester was better for relearning compared to restudying. Increased recall during relearning sessions was associated with further learning benefits including improved metacognition, increased self-reported sense of mastery, increased attentional control, and reduced anxiety. Individual differences were not associated with the benefit of relearning over restudying in the retention tests. Qualitative feedback indicated that students found successive relearning to be enjoyable and valuable. Our research indicates that successive relearning is a valuable addition to any university course and is easy to implement using digital resources. average) retention intervals. However, our research is the first to our knowledge to demonstrate this excellent performance in comparison to a restudy control condition with rigorously controlled exposure to the to-be-learned material. Our research was also unique in that we explored the effect of successive relearning on a host of educationally relevant variables in addition to memory retention. Our findings indicated that successive relearning was beneficial to metacognition, anxiety, mastery, and attentional control. Overall, our research suggests that students should be encouraged to incorporate successive relearning into their learning, either by making it a coursework component, as we did here, or assigning it as homework. Critically, however, it is important to ensure that whatever form successive relearning takes, it must involve multiple opportunities for students to practice retrieving the same material. Otherwise, some of the learning benefits may be limited or even negative.
Determinants of Social Media Risk Attitude

In the era of digital technology, with the advancement of technologies, social media has become an essential foundation for communications across multiple generations. According to the Malaysian Communication and Multimedia Commission report, in the year 2016, about 21.9 million out of the 31.7 million total population of Malaysia was classified as social users. The breakdown of the social users are 97.3% claiming to have their own Facebook account, 56.1% with their own Instagram account and 45.3% are YouTube users. The main objective of this paper is to examine the determinants of social media risk attitude in Kuala Selangor, comprises three independent factors which are entertainment, sociality and information. This study was conducted through questionnaires distributed to 100 individuals in the Kuala Selangor area and regression analysis was used to analyze the findings. The results showed that there was significant relationship between the entertainment factor and information factor towards the social media risk attitude. This indicates that the risk attitudes of social media in the Kuala Selangor area, is heavily influenced by the entertainment and information factors. The sociality factor however was insignificant towards the risk attitudes of the social media
Fractionality and co-fractionality between Government Bond yields : Implications for the yield curve

In a co-fractional vector autoregressive (VAR) model two more parameters are estimated, compared to the traditional cointegrated VAR model. The increased number of parameters that needs to be estimated leads to identification problems; there is no unique formulation of a co-fractional system, though usually one formulation is preferred. This paper has the following contributions: (i) it discusses different kinds of identification problems in co-fractional VAR models; (ii) it proposes a specification test for higher order fractional processes; (iii) it presents an Ox program that can be used for estimating and testing co-fractional systems; and (iv) it uses the above mentioned contributions to analyse a system of Government Bonds in the US and Norway where the results indicates that the level and trend in the yield curve have a longer memory than the curvature (i.e., a linear combination of the yields of the Government Bonds that corresponds to representing the curvature of the yield curve is a co-fractional relationship).
EVALUACIÓN DE CARACTERíSTICAS DE CALIDAD EN BARRAS DE CEREALES CON ALTO CONTENIDO DE FIBRA Y PROTEíNA

The utilization of agro-industrial by-products and andean cereals in the elaboration of functional foods is evidenced in current research. Cereal bars stand out as fast foods with high nutritional value. The objective of the research was to formulate cereal bars counting as ingredients of oat bran study, pineapple peel powder and quinoa flakes; with adequate values of protein, firmness, sensory acceptance, dietary fiber and phenolic compounds. A simplex mix design with expanded centroid with a working range of 0 – 31,34% was applied. A significant effect of oat bran, pineapple peel powder and quinoa flakes was found on the response variables. The appropriate model to represent the behavior of the response variables was selected considering the values of p 0,80 and lack of fit > 0,05; being the cubic special model the one that better adjusted the data for protein and general acceptability; while for dietary fiber it was the quadratic model. It was determined that the optimal treatment was constituted by 4,12% oat bran; 10,04% pineapple shell powder and 17,18% quinoa flakes, having a protein content (11,37%), dietary fiber (13,28%) and general acceptability (7,47 points) which is equivalent to a very good perception.
VITAMIN D STATUS;

… Objective: Our primary objective was to estimate the vitamin D status amongboth the rural and urban dwellers of Sargodha. Study Design: A cross sectional population survey.Place and Duration of Study: Individuals were selected from six different medical centersin the Sargodha city, Vitamin D measurement was done in Khan Lab Sargodha from January2013 to June 2013. Methodology: After an awareness campaign, healthy individuals and medicalpatients from six different clinics in Sargodha city were selected after excluding the diseasesthat interfered with the metabolism of calcium and vitamin D. The initial assessment involvedan interview based questionnaire, at the clinic by the treating doctor. It recorded the informationregarding age, sex, weight, residence, and co-morbid conditions like, DM, hypertension,ischemic heart disease and kidney disease and medications especially oral vitamin D supplementation.The physical assessments included height, weight record and blood pressuremeasurements. The test: It was performed in Khan Lab Sargodha. Quantitative determinationof 25-OH vitamin D was done from the serum by using competitive immunoluminometric assayon Maglumi 1000 fully automated chemistry analyzer. Results: Out of total 100 specimens 46were found to be having low levels of vitamin D levels. Insufficient levels (21-29 ng/ml) were presentin 10 individuals. It was less than 10 ng/ml in 11, less than 5 ng/ml in 4, while 21 individualswere having levels between 10-20 ng/ml. Five individuals had levels more than 100 ng/ml.None of the individuals had level in toxic range. Out of 56 females 27(48.22%) had low vitaminD levels, while out of 44 males 19 (43.2%) were found to be having levels less than 30ng/ml.The median age of individuals having levels less than 30ng/ml was 37 years (14-57 years). Therelationship of high BMI and vitamin deficiency was statistically non-significant (p-value = .282). Conclusions: Although the sample size is small, however our study reveals that a large proportion(46%) of studied individuals representing the asymptomatic general population is havinglow level of vitamin D. in order to address this public issue concrete measures need to be takenin order to prevent adverse consequences of low vitamin D levels.
Compositions comprising Cefuroxime Axetil

The present invention is, for example useful in the preparation of pharmaceutical compositions comprising cefuroxime roksim axetil as an active ingredient, the aqueous liquid in contact with non-gelatin-phase form, for example, cefuroxime in the solid dispersion forms on the form or carrier in solid solution in the polymer roksim It relates to axetil and the use of cefuroxime axetil used in the manufacture of oral dosage form which does not exhibit an adverse food effect.
Porous nickel hollow fiber cathodes coated with CNTs for efficient microbial electrosynthesis of acetate from CO2 using Sporomusa ovata

Microbial electrosynthesis (MES) allows recycling of CO2 into value added products by coupling renewable energy to the microbial ability for complex product formation. To improve biofilm formation on the cathode and the rates of product generation, the design of cathodes possessing a high specific surface area and enhanced electrode–microbe electron transfer is needed. This study aimed to demonstrate a novel cathode design that is made of porous nickel hollow fibers (Ni-PHFs), for facilitating direct delivery of CO2 to Sporomusa ovata in MES through the pores in the hollow fibers. Modification of the surface of Ni-PHFs with carbon nanotubes (CNTs) resulted in an 11-fold increase in the CO2 adsorption capability at atmospheric pressure, as well as 76.3% reduction of cathode electron transfer resistance. This cathode surface modification partially explained the higher acetate production rate of 247 ± 17 mM d−1 m−2 from direct CO2 delivery through the pores of the Ni-PHF/CNT cathode, compared to 145 ± 4 mM d−1 m2 for the Ni-PHF cathode. Higher electron recovery in the form of acetate (∼83%) was also observed for the Ni-PHF/CNT cathode. As for the tests where CO2 was sparged into the medium, acetate production was 36% lower than tests with direct CO2 delivery to S. ovata through the pores of the Ni-PHF/CNT cathode. These results demonstrate that using the PHF electrode design and modifying the cathode morphology to enhance the microbe–electrode interactions and CO2 availability for bacterial growth are effective approaches to increase the rates of CO2 reduction in MES.
Prédiction de la production et de la composition de la matière grasse du lait par modélisation : rôle des flux de nutriments absorbés.

La composition du lait en acides gras (AG) chez la vache laitiere est la resultante du metabolisme lipidique au niveau du rumen et au niveau de la glande mammaire. Dans le cadre du renouvellement des systemes d’unites d’alimentation INRA, l’objectif de ce travail est de predire par une approche quantitative utilisant la meta-analyse de bases de donnees, les flux duodenaux d’AG chez les ruminants, le transfert des AG de l’intestin a la glande mammaire, et les flux d’AG secretes dans le lait.Des equations de prediction des flux duodenaux et absorbes des AG satures, des AG impairs et ramifies, et d’un grand nombre d’isomeres des AG insatures ont ete obtenues en integrant les effets de facteurs experimentaux tels que la nature du fourrage, le pourcentage de concentre, la supplementation en huiles, graines vegetales, et en produits marins, et leurs interactions. Ces equations sont fonction des AG ingeres et des facteurs interferents (mode de conservation et familles botaniques des fourrages, composition du regime alimentaire, caracteristiques des animaux). Pour le transfert des AG du duodenum a la glande mammaire, les equations privilegient comme predicteur leur flux duodenal respectif, mais utilisent aussi des parametres digestifs ruminaux (pH, acetate, butyrate) ou des caracteristiques des rations pour les AG impairs et ramifies, ou les AG synthetises de novo (C4:0 a C14:0). La validation de ces modeles a ete faite a partir d’une base de donnees externe qui a permis de coupler les deux modeles et d’evaluer leur precision. Finalement, nous proposons des equations de prediction des AG specifiques ainsi que des groupes d’AG presentant un interet nutritionnel et qui peuvent fournir une approche aux systemes d'unites d'alimentation pour predire leurs reponses a differents types de rations.
Crystal structure of catena-poly[(μ2-1-(4-(1H-pyrazol-1-yl)phenyl)ethan-1-one-κ2N:O)-bis(1,1,1-trifluoro-4-oxo-4-(thiophen-2-yl)but-2-en-2-olato-κ2O,O′)copper(II)], C27H18CuF6N2O5S2

Abstract C27H18CuF6N2O5S2, triclinic, P1̄ (no. 2), a = 9.3162(5) Å, b = 10.1290(6) Å, c = 16.4352(9) Å, α = 90.430(4)°, β = 100.711(5)°, γ = 110.753(5)°, V = 1420.45(14) Å3, Z = 2, Rgt(F) = 0.0559, wRref(F2) = 0.1617, T = 293 K.
Interface-Active Metal Organic Frameworks for Knoevenagel Condensations in Water

It is desirable but challenging to locate solid catalysts at the oil-water interface to stabilize “Pickering emulsions”, which is one of the promising ways to develop efficient green chemical processes. Herein, water-stable metal organic framework ZIF-8 without any chemical modification was demonstrated to be an interface-active catalyst for Knoevenagel condensation in a biphasic system. Pickering emulsion formed under the reaction conditions due to its amphiphilic property, which was beneficial to the mass transfer and led to high catalytic performance. Moreover, it can be repeatedly applied for Knoevenagel condensation for at least six successive cycles without losing its catalytic activity and framework integrity.
Synthesis of New Antibiotics via Mannish Reaction

Development of efficient and environmentally friendly chemical process for preparation of new biologically active molecules constitutes a major assignment for chemists in organic synthesis. Therapeutic drugs have played a major role in increasing average life. For a long time, natural sources have been used to prepare medicines for treatment of human ailments. Many new medicines actually are modified version of old medicines that have been improved to help people feel better [1]. A variety of medicinal agents have symbolic qualities and better results with numerous reactions for providing new chemical entities. Among well-known reactions, Mannich reaction has been of great importance due to its diversified applications-especially in medicinal chemistry. Mannich reaction is a condensation process involving three reactants (substrate, aldehyde and amine). Mannich reaction is considered only in general way here. Pathway a or b (Figure 1) can be followed, if one includes a rather unlikely trimolecular mechanism. In case formaldehyde reacts initially with the amine (Path ‘a’), a condensation product having the structure of x-amino methyl derivative or methylene immonium salt is formed, which is then able to attack the substrate RH. Alternatively (Path ‘b’), a hydroxymethyl derivative is generated, which gives the Mannich Base by reaction with imine [2,3].
Color and Texture Prior Based Segmentation and Analysis of Psoriatic Disease Types Using MPSO

The Computer-aided diagnosis (CAD) tools are needed to address the human limitation in the assessment of the severity and classification of psoriasis. Dermatologists need these kinds of systems to assist to produce high diagnostic results. The main objective of this work is to develop an automatic machine that predicts the psoriatic type and estimates the disease parameters. The proposed work includes preprocessing with the morphological closing method, Segmentation, feature extraction, and Indexing. A novel Color and Texture prior based segmentation scheme CTG-SEG with extraction ability has been implemented in the high wound region. The feature extraction process has used feature descriptors such as texture: a total of 31 texture descriptors, Color: a total of 38 color descriptors and Shape: a total of 14 shape descriptors contributing to a total of 83 features. Genetic Algorithm (GA) is employed here to opt for the features that contribute most to the expected prediction. Multiclass Particle Swarm Optimization (MPSO) classifies the types of psoriasis disease using the nearly 11 selected features. Based on Psoriasis Area and Severity Index (PASI), a Severity Score (SS) measure is calculated using the psoriatic region to assess the severity of the disease. The native collected dataset is used for experimental analysis. The proposed method is promising with an average accuracy of 95.7%, a specificity of 96% of and a sensitivity of 95.6%. The comparative analysis with the existing methods shows that the proposed method has highly contributed to psoriasis region segmentation, classification, and severity grading.
Characterization of aerosol and assessment of the risk of transmission of SARS-COV-2 VIRUS in a natural thermal cave

Thermal caves represent an environment characterized by unique chemical-physical properties, often used by customers for treatment and care of musculoskeletal, respiratory and skin diseases. The recent pandemic caused by COVID-19 has imposed the need to investigate the potential transmission scenario of SARS-CoV-2 virus also in such atypical and poorly studied indoor environments. This research work was carried out inside a natural thermal cave located in Italy where a waterfall of sulfur-sulfate-bicarbonate-alkaline earth mineral thermal water creates a warm-humid environment with 100% humidity and 48°C temperature. A characterization of the aerosol was carried out in terms of number, surface area and mass, as well as particle size distributions. The physical characteristics of the aerosol were measured inside the natural thermal cave and in other immediately adjacent areas in two different days and in two distinct moments by means of an optical spectrometer. The data obtained showed a predominance of particles with a diameter greater than 8 μm, associated with a low ability of penetration in the human respiratory system. Subsequently, through a model recently proposed in scientific literature, it was evaluated the airborne transmission risk of SARS-CoV-2 inside the cave by quantifying the probability of infection due to exposure in a microenvironment in presence of a SARS-CoV-2 infected subject. The infection risk was evaluated for different scenarios obtained combining parameters such as physical, breathing or talking activities of the occupants, simultaneous or non-simultaneous access to the cave and mechanical ventilation activated or non-activated. In terms of the risk of SARS-CoV-2 infection, evaluated under the hypotheses of the model, it was highlighted the decisive effect of the mechanical ventilation system on the risk of contagion: for all the hypothesized scenarios, there is a substantial reduction in the risk of contagion considering the ventilation system active. Furthermore, the adoption of social distancing measures such as non-simultaneous access to the cave makes the risk of contagion extremely low, according to the assumptions underlying the model, even with the mechanical ventilation system not active.
TECHNICAL, ECONOMICAL, SOCIAL AND ECOLOGICAL CHARACTERISTICS OF VACUUM SEWAGE SYSTEM

In this paper we analyzed some characteristics of vacuum sewer systems from technical, economical, environmental and social perspectives. The vacuum sewer systems transport wastewater with lower pressure (p<pat), and are compared to conventional sewer systems with free level (p = bed) gravity and under pressure systems (p>pat) gravity or pumping systems. Vacuum sewer systems are recommended for rural communities and residential neighbourhoods surrounding urban areas, developed on sites with low slope. The analysis of the impact on the environment (soil, air, flora fauna and human beings) based on the global pollution index, IPG, can determine the order/sequence of sewerage systems ranking used for collecting and transport wastewater in plain areas, with low slope of the land as follows: vacuum sewer systems (IPG = 1.14), drains through pumping pressure sewer systems (IPG = 1.52), gravity free level sewer systems (IPG = 3.22). The vacuum sewer system proved to be with 23.91% cheaper than the gravity sewer system, from the economical point of view while the pumping sewer system is only with 1.7% cheaper than the gravity system. Vacuum sewer system is recommended especially for lowland rural communities (with maximum 5000 inhabitants), developed on a distance by which the main sewer collectors do not exceed a length of 3,750 m.