Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolution of Size and Structure during the Polymerization Process: A SANS Study on EG-Based Microgels

The present study describes the temporary evolution of size and morphology of thermosensitive and biocompatible microgel particles based on ethylene glycol (EG). P-MeO2MA-co-OEGMA particles were synthesized by precipitation polymerization. The growth of the microgel particles was analyzed at different reaction times using dynamic light scattering (DLS) and small-angle neutron scattering (SANS). The scattering data show the increase of particle size and swelling capability during the polymerization process. After 60 min further continuation of the polymerization reaction causes no further change of neither external nor internal particle properties. SANS measurements reveal the formation of a dense core, mainly consisting of cross-linker at an early polymerization state. This is followed by the growth of a loosely packed polymer shell. Nanodomains, observed during the volume phase transition (VPT), as well as a second correlation-length of the network fluctuations arise with progressing polymerization react.
IOT based Advance Traffic Management System with the Emergence of 5G: A Concise Review

This paper talks about what is 5G, its technicalities, how it changes the networking in the near future and how 5G will bring a revolution in the world of Internet of Things. Then it focuses on the application of IoT in traffic management system. There are 3 basic steps to this process involving sensing of data, transfer of data through and on cloud and processing of the data. The camera capture an image sequence (video)which is sent to the cloud, information about the vehicles on the road is extracted from the data, this can be done through various methods, few of which are discussed in brief in this paper. This extracted information is then processed to analyze the traffic condition and send proper action commands to optimize the traffic making it faster, safer and efficient.
Performance Assessment of a Turn Around Ranging in Communication Satellite Orbit Determination

Satellite operators utilize a two-stations turn around ranging (TAR) system to reduce the ground station measurement system's complexity and cost while having the same or better orbit determination accuracy for communication satellites orbit determination recently. This study investigates two stations' performance, four-way ranging on communication satellite orbit determination, operational conformance, and cost. The observation data sets are collected using traditional single station tracking (SST) and the new method TAR. The computed results using the Monte Carlo method encourage the satellite operators to use a four-way ranging system to observe and measure required data sets. TAR performance is evaluated, taking SST as a reference. The six classical orbital elements (a, e, i, RAAN, AoP, and TA) are compared for large numbers of observation data. The SST and TAR results are very close to each other. The worst-case calculated Euclidian distance between SST and TAR is 1.893 km at the epoch below the 6 km success criteria. The TAR observation method is appropriate to collect data sets for precise orbit determination. This work result indicates that satellite operators should consider deploying TAR stations to collect two-station range data sets and compute the orbit for nominal north-south station-keeping maneuvers (NSSK) and east-west station-keeping (EWSK) maneuver operations. The TAR method is superior to SST in terms of accuracy, operational conformance, and costs.
Low Leakage Approximate multiplier design for high Performance Error Tolerant Applications

Power dissipation has become a major concern in VLSI circuit design with the rapid launch of battery powered applications. In highperformance constructions, the leakage component of power consumption is comparable to the switching component. This percentage increases as the technology scales unless effective leak control techniques are in place. In the case of fault-tolerant applications it is also not necessary to adhere to the exact calculation method. Therefore, an approximate multiplier of 8 x 8 is developed in this article using several proposed techniques to reduce leakage power such as MTCMOS, DUAL-Vt, and LECTOR. All of the above techniques are simulated with a tanning tool using 90 nm technology.
Comparison between Students’ Perception toward an examination and item analysis, reliability and validity of the examination

Introduction: While student’s perception of an exam is a reflection of their feelings toward the exmination items, item analysis is a statistical analysis of their responses to examination items. The study aims to compare students’ perception toward the difficulty of an examination with the results of item analysis and examination reliability and validity. Materials and methods: This is a cross-sectional study conducted in the College of Medicine between January and April 2019. The study uses a structured questionnaire and standardized item analysis of students’ examination. Results: Overall, 80 items were analyzed in this study. Kuder–Richardson Formula 20 of the examination was 0.906. The average difficulty index of the examination items was 69.4 (± 21.86). The response rate of the questionnaire was 88.9% (40/45). Students considered the examination as easy (70.4%). Students’ perception toward the difficulty of the individual items shows a moderate positive correlation between easy perception and difficulty index (r = 0.7033, p = 0.00001), which means there is a tendency for high difficulty index to go with high easy perception (and vice versa). Moderate negative correlations were reported between moderate (r = –0.2969, p = 0.008082) and difficult (r = –0.6094, p = 0.00001) perception to individual items’ difficulty and difficulty index. A significant moderate positive correlation (r = 0.615, p = 0.00001) was reported between the difficulty index and items covered within the specific learning outcomes. Conclusion: Students’ perception toward items difficulty is aligned with the standard difficulty index of items. Their perception can support the evidence of examination validity. The constructions of items from the covered outcomes result in an acceptable level of item and examination difficulties.
A method for continuous-range sequence analysis with Jensen-Shannon divergence

Mutual Information (MI) is a useful Information Theory tool for the recognition of mutual dependence between data sets. Several methods have been developed fore estimation of MI when both data sets are of the discrete type or when both are of the continuous type. However, MI estimation between a discrete range data set and a continuous range data set has not received so much attention. We therefore present here a method for the estimation of MI for this case, based on the kernel density approximation. This calculationmay be of interest in diverse contexts. Since MI is closely related to the Jensen Shannon divergence, the method developed here is of particular interest in the problems of sequence segmentation and set comparisons.
Determining k in k-means clustering by exploiting attribute distributions

: Methods for estimating the natural number of clusters (k) in a data set traditionally rely on the distance between points. In this project, an alternative was investigated: exploiting the distribution of informative nominal attributes over the clusters with a chi-squared test of independence, to see which value of k partitions the data in a way that is least likely to be random. Artiﬁcial data sets are used to assess the strategy’s performance and viability in comparison to a well-established distance-based method. Results indicate that the proposed strategy has a tendency to overestimate k , and only performs consistently with some types of attribute. Despite this, it has value as a heuristic method when attributes are available due to non-reliance on distance information
Comparative Study Between Virgin Coconut Oil and Omeprazole Drug on Ulcerative Colitis in Experimental Rats

This study aims to identify the curative effect of virgin coconut oil on ulcerative colitis(UC),the present study was carried (24) adult albino male rats Sprague –Dawley strain weighting 180 ±10g were classified into four groups,(6 rats each) the first group rats were fed on basal diet only control negative(-ve) group and three rat groups were injured of ulcerative colitisby intra colonic administration of acetic acid 4% given rectally by single dose ( 1 ml/ rat ) and reclassified into control positive (+ve) group (fed on basal diet only), group treated with (20 mg/kg b.w) of omeprazole drug and group treated with (2 ml per/ rat) daily of virgin coconut oil . The results revealed that, the control (+ve) group showed a significant decrease in final weight(FW) ,weight gain(WG) feed efficiency ratio (FER), organs weight of heart, kidney, and liver , catalase (CAT), superoxide dismutase (SOD), glutathione reduced (GSH), Glutathione reductase (GSR),Glutathione peroxidase (GPx(, glutathione-S-transferees (GST) and significant increase in malondialdehyde (MDA) , hydrogen peroxide (H2O2), C-reactive protein (CRP), interleukin-6 (IL-K) and prostaglandin (PG2) compared with control (- ve) group. The virgin coconut oil group showed a significant increase in (FW),(WG),(FI),(FER),organ stomach,(CAT),(SOD),(GSH),(GSR (GPx), (GST) but significant decrease in (MDA),(H2O2),(CRP),(ILK), (PG2) compared with control (+ve) group . the study clearly showed that consumption virgin coconut oil has a role in treating rats with acetic acid-induced ulcerative colitis. It can be recommended that virgin coconut oil should be consumed daily to reduce the incidence of ulcerative colitis.
Green synthesis of polysaccharides promissory biological activity

This paper demonstrates a green approach for the synthesis of gold and silver nanoparticles using polysaccharides extracted f macroseaweed as reducing agents. The formation of Au Electron Microscopy (TEM). TEM analysis of both polysaccharides polysaccharides (alginate or carrageenan) not only influence the morphology and the sizes of the nanostructures but also avo aggregation of them. The biological activity of these eco organisms such as Pseudomonas aeruginosa and well-known inorganic reducing agent, sodium citrate (SC). Furthermore, hemolytic activity was also tested showing that the polysaccharides-based metallic nanoparticles (Ps prepared using SC. These results strongly suggest that these Ps infections.
Clinical outcome and cost analysis of negative pressure wound therapy in extremity wounds: a comparison to conventional wound management

Background: Open fractures and traumatic wounds constitute a major health problem. Amongst the armamentarium of wound care products available, negative pressure wound therapy (NPWT) is a modality that has transformed wound care and has been recommended for treating all kinds of acute and chronic wounds.Methods: This prospective randomised comparative study was conducted at a tertiary care hospital in Northeast India. 30 patients were included in this study over a period of 24 months commencing from January 2018. The patients consisted of two groups of 15 each, the first group comprised patients who underwent treatment using NPWT and the second group was treated using standard wound therapy (SWT). The endpoint taken was a granulated wound or a wound ready for split skin grafting (SSG). Results: The mean wound size difference between the NPWT group and the SWT group on day nine was 13±7.17 mm and 4.53±0.99 mm, respectively. Likewise, on day nine, 11 (73.3%) patients in the group treated using NPWT had no positive bacterial cultures compared to 8(53.3%) patients on SWT. The estimated cost of materials for each NPWT dressing change was roughly INR₹ 3446 (US$ 45.57). Conclusions: NPWT is not a magic bullet and will not replace the basic methods of wound treatment such as wound debridement, infection control and ensuring adequate blood supply. Nevertheless, NPWT remains an integral part of the current scenario in wound care management and is cost effective under the condition that it accelerates wound healing when compared to traditional treatment.
FINDING OUT THE INFLUENCE OF TOPIC BASED OBJECT ACCORDING TO SOCIAL NETWORKS

In this research paper, the author mainly focuses on researching models in social networks analysis and then use them to develop the system which is able to allow users to search right topics as well as right research papers of other authors. In this paper, the author do research on Author – Conference –Topic model for the topic relevant to users’ requirements. With each of these topics, the system will create a graph of Topical Affinity Propagation (TAP) with the aim to analyze the topics based influence of authors. The results on the corpus extracted from Microsoft Academic Research include 34,330 authors, 19,921 articles, 1,335 conference and 424,501 co-author relations.
Development and Characterization of Gastro-Retentiv Blend Microparticles of Sumatriptan: Design, Optimization, ex vivo, and in vitro Evaluation for Oral Drug Delivery

Migraine is a complex neurological disorder of the brain which is often accompanied with headache, gastrointestinal, neurologic, and sometime aural symptoms [1, 2]. Sumatriptan (ST) is a serotonin receptor agonist (5-hydroxytryptamine or 5-HT receptor) used to treat migraine and cluster headaches [3]. However, ST is rapidly but incompletely absorbed following oral administration (15%) because of the high first-pass metabolism [4]. On the other hand, a large number of patients suffer from nausea and vomiting during multiple migraine attacks, which may result in inadequate absorption of ST in oral therapy. The sustained release drug delivery systems for ST can be useful to reduce dosing frequency, enhance drug oral bioavailability, minimize gastrointestinal adverse effects, and improve the effectiveness of drug in the management of migraine. However, a major problem commonly associated with the conventional sustained release drug delivery systems is a shorter mean retention time in the stomach. Moreover, traditional oral preparations lead to large fluctuations in the plasma drug level [5]. Thus, increasing the retention time of dosage form in the stomach while improving their stability in the gastric medium is an excellent strategy to bypass this problem. Various gastroretentive drug delivery systems including expanding and swelling systems, floating drug delivery systems, mucoadhesive systems, and modified-shape systems have been proposed to improve the gastric retention time of drugs [6]. Among gastro-retentive systems, microparticles with floating and mucoadhesive capabilities have attracted large interest owing to their capacity to interact with the mucosal site, improving the retention time of drug in the stomach for a long period of time. Afterwards, the payload is slowly released at the specific time and rate from the carrier. This leads to a large concentration gradient which C o r re s p o n d e n c e
Diagnostic value of clinical deep tendon reflexes in diabetic peripheral neuropathy

Introduction The aim of the present study was to evaluate the diagnostic efficacy of different tendon reflexes in detecting diabetic peripheral neuropathy (DPN). Material and methods According to the changes in tendon reflexes, all patients with diabetes were divided into three strata: impaired Achilles reflex only, impaired lower extremity reflexes, and impaired lower and upper extremity reflexes. Taking nerve conduction studies (NCS) as the gold standard, the sensitivity, specificity, and predictive ability of the tendon reflexes of these three strata, as well as the Toronto clinical scoring system (TCSS) and Michigan Neuropathy Screening Instrument (MNSI), were calculated. Then, the electrophysiological characteristics of diabetic patients with different tendon reflexes were analysed. Results Among the 240 patients studied, 92 (38.3%) presented evidence of neuropathy, which was confirmed by abnormal NCS, while 148 (61.7%) had normal NCS results. Taking NCS as the gold standard, stratum 1 yielded a sensitivity and specificity of 93.5% and 54.7%, respectively, while stratum 3 had higher specificity (96.6%) and lower sensitivity (34.8%) when compared to stratum 1. However, stratum 2 had the highest specificity (75.7%). Conclusions The assessment of tendon reflexes can be proposed as a test for screening diabetic polyneuropathy.
UNIVERSIDAD DE INVESTIGACIÓN DE TECNOLOGÍA EXPERIMENTAL YACHAY

Silver selenide (Ag2Se) nanostructures have been successfully synthesized by mixing silver nitrate (AgNO3) and selenous acid (H2SeO3) acting as Ag and Se sources, respectively. In the presence of fructose and starch play the role of reducing and stabilizing agents, respectively. Sonochemistry-mediated process was performed using water as the solvent at mild temperature satisfying the principles of Green Chemistry. A screening study was carried out regarding the impact of experimental parameters, such as the nature of the monosaccharides, the amounts of monoand poly-saccharides, and reaction time, on the size, shape and colloidal stability of the as-synthesized Ag2Se NPs which, in turn, impact their optical properties. The morphology of the as-synthesized Ag2Se NPs has been characterized by transmission electron microscopy (TEM) and both αand β-phases of Ag2Se were determined by X-ray diffraction (XRD) technique. Besides, the optical properties of Ag2Se were studied by UV-Visible spectroscopy and the elemental analysis was performed nondestructively using SEM-EDS technique. Compared with previous methods, the present environmentally benign method sheds light into a novel, simple and low-cost route to synthesize valuable nanomaterials that may have a wide range of bio-applications.
FEATURES OF ASSESSMENT AND FORECASTING OF SOCIO-ECONOMIC DEVELOPMENT OF REGIONS IN UKRAINE

The purpose of the article is to carry out an analysis and improvement of the methodological approach for estimating and forecasting socio-economic devel-opment of regions. The methodological basis of the study consisted of scientific works of domestic and foreign scientists and leading specialists, statistical and analytical materials of state authorities. The results are obtained through the use of such methods as: expert – to identify the impact of qualitative and quantitative indicators on the socio-economic development of the region; economicmathematical analysis – to study the influence of a defined group of indicators on the level of development of the region; abstract-logical – for a theoretical synthesis and formulation of conclusions. The results of the study suggest that the introduction of a sound scientific and methodological approach to assessing and forecasting the level of development of the country and regions in particular will allow not only to identify problem areas in the development of the respective territories, but also to get the potential investor reliable information about the real state of affairs and to determine the justification of further investment in the activity of the research object. Using an unjustified scientific and methodological approach not only can distort the real state of affairs in the regions and the country in general, but also send limited financial resources of the State and local budgets in the conditions of the crisis to improve the indicators that have a minor impact on the development of the economy. It is proved that in current crisis conditions, the functioning of the national economy, state authorities should implement a more effective discretionary fiscal policy aimed at reducing the tax burden in the formation of the wage fund of the socially vulnerable population. The errors, ob-tained during misuse of information technologies in the assessment of socio-economic development of regions are revealed. The scientific and methodological approach to determining the coefficient of competence of experts and the value of 1 point of qualification competences during the construction of forecast scenarios and the development of regional economic development programs using intuitive fore-casting methods has been improved. Proposals for improving the system of taxation of the socially vulnerable population are developed.
Automated Learning of Hungarian Morphology for Inflection Generation and
 Morphological Analysis

The automated learning of morphological features of highly agglutinative languages is an important research area for both machine learning and computational linguistics. In this paper we present a novel morphology model that can solve the inflection generation and morphological analysis problems, managing all the affix types of the target language. The proposed model can be taught using (word, lemma, morphosyntactic tags) triples. From this training data, it can deduce word pairs for each affix type of the target language, and learn the transformation rules of these affix types using our previously published, lower-level morphology model called ASTRA. Since ASTRA can only handle a single affix type, a separate model instance is built for every affix type of the target language. Besides learning the transformation rules of all the necessary affix types, the proposed model also calculates the conditional probabilities of the affix type chains using relative frequencies, and stores the valid lemmas and their parts of speech. With these pieces of information, it can generate the inflected form of input lemmas based on a set of affix types, and analyze input inflected word forms. For evaluation, we use Hungarian data sets and compare the accuracy of the proposed model with that of state of the art morphology models published by SIGMORPHON, including the Helsinki (2016), UF and UTNII (2017), Hamburg, IITBHU and MSU (2018) models. The test results show that using a training data set consisting of up to 100 thousand random training items, our proposed model outperforms all the other examined models, reaching an accuracy of 98% in case of random input words that were not part of the training data. Using the high-resource data sets for the Hungarian language published by SIGMORPHON, the proposed model achieves an accuracy of about 95-98%.
Formulation and Evaluation of Transdermal Gel of Ibuprofen: Use of Penetration Enhancer and Microneedle

The objective of the current study was to develop Ibuprofen (IBP) gel using different polymers individually and in combination and then to select best gel formulation based on various in-vitro evaluation parameters such as bioadhesive strength, gel strength, spreadability, viscosity and drug release study. The selected gel formulation was found to be composed of 1% (w/w) each of hydroxypropyl methylcellulose (HPMC K100M) and sodium carboxy methylcellulose (NaCMC). Two techniques such as chemical method using 1,8-cineole as chemical penetration enhancer (CPE) and physical technique using microneedle were employed to improve IBP permeation across the abdominal skin of rat. Out of the two techniques, the later technique showed higher (2.865-fold) permeation enhancement compared to control. Furthermore, a synergistic effect was also observed when both the techniques were used simultaneously with 3.307-fold increase in permeation enhancement. In-vivo anti-inflammatory study on rats induced with carrageenan paw oedema and analgesic activity investigation by tail flick method in rat model exhibited sustained effect up to 8 h compared to orally treated group. The stability study at room and accelerated conditions for three months did not show any sign of instability. Thus, the developed IBP gel is stable and have potential to illicit both anti-inflammatory and analgesic effect when administered transdermally.