Miracle-dz/UniFAR-FTUs huggingface dataset:
Correlation study between body mass index, body fat, glycemic indices and lipid profile with insulin resistence and secretion in healthy euthyroid individuals

Introduction: Insulin resistance and secretion are highly dependent on variable influencing factors, in the developmental process of Diabetes mellitus. Growing incidence of diabetes prompt us to study the various contributing factors in the development of Diabetes mellitus in healthy individuals. Objective: To study the relationship associated between anthropometric measurements, plasma lipids, glycemic indices, thyroid stimulating hormone with Insulin resistance and secretion in healthy individuals. Materials and Methods: A cross-sectional study was conducted in normal healthy individuals, from general population. (n=142). Body mass index, body fat, were measured, Glycemic indices, fasting glucose, post prondial glucose, Glycated hemoglobin, fasting insulin levels, Thyroid stimulating hormone, fasting lipid profile were analysed. Result: Insulin resistance (HOMA IR) is positively correlated with Glycemic indices (FBS, PPBG, HbA1C) P<0.05, Body mass index P<0.05, Body fat P<0.05, and Cholesterol/HDL ratio. Serum Thyroid Stimulating Hormone (TSH) P<0.05 is negatively associated with Insulin Secretion. Glycemic Indices, Triacylglycerol, cholesterol, LDL are negatively correlated with Insulin Secretion. Conclusions: Glycemic indices, body mass index, body fat and lipid profile are intrinsically related to Insulin resistance and Insulin secretion. Increased TSH is associated with decreased insulin secretion leading to increase blood glucose levels, which indicates that thyroid hormone is important for pro insulin expression and translation, providing the evidence that, effects of thyroid hormones on carbohydrate metabolism also include the control of proinsulin gene expression, the possible role of thyroid hormones on insulin secretion.
INTRAOCULAR PRESSURE AND CENTRAL CORNEAL THICKNESS IN HYPERTENSIVE AND NON-HYPERTENSIVE PATIENTS

Rehab Habib, Rana Mohammad Mohsin Javed*, Farhat Ijaz**, Rana Khurram Aftab***, Hira Sohail, Rana Rakhshan Aftab Department of Physiology, King Edward Medical University, *Department of Ophthalmology, Mayo Hospital, **Department of Physiology, CMH Lahore Medical College and Institute of Dentistry, ***Punjab Institute of Cardiology, Lahore, Department of Biochemistry, CMH Lahore Medical College and Institute of Dentistry, Rashid Latif Medical College, Lahore, Pakistan
Towards Document-Level Human MT Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation

Document-level human evaluation of machine translation (MT) has been raising interest in the community. However, little is known about the issues of using document-level methodologies to assess MT quality. In this article, we compare the inter-annotator agreement (IAA) scores, the effort to assess the quality in different document-level methodologies, and the issue of misevaluation when sentences are evaluated out of context.
A Bayesian Conjugate Gradient Method (with Discussion)

A fundamental task in numerical computation is the solution of large linear systems. The conjugate gradient method is an iterative method which offers rapid convergence to the solution, particularly when an effective preconditioner is employed. However, for more challenging systems a substantial error can be present even after many iterations have been performed. The estimates obtained in this case are of little value unless further information can be provided about, for example, the magnitude of the error. In this paper we propose a novel statistical model for this error, set in a Bayesian framework. Our approach is a strict generalisation of the conjugate gradient method, which is recovered as the posterior mean for a particular choice of prior. The estimates obtained are analysed with Krylov subspace methods and a contraction result for the posterior is presented. The method is then analysed in a simulation study as well as being applied to a challenging problem in medical imaging.
Exact gradient methods with memory

ABSTRACT The Inexact Gradient Method with Memory (IGMM) is able to considerably outperform the Gradient Method by employing a piece-wise linear lower model on the smooth part of the objective. However, the auxiliary problem can only be solved within a fixed tolerance at every iteration. The need to contain the inexactness narrows the range of problems to which IGMM can be applied and degrades the worst-case convergence rate. In this work, we show how a simple modification of IGMM removes the tolerance parameter from the analysis. The resulting Exact Gradient Method with Memory (EGMM) is as broadly applicable as the Bregman Distance Gradient Method/NoLips and has the same worst-case rate of , the best for its class. Under necessarily stricter assumptions, we can accelerate EGMM without error accumulation yielding an Accelerated Gradient Method with Memory (AGMM) possessing a worst-case rate of . In our preliminary computational experiments EGMM displays excellent performance, sometimes surpassing accelerated methods. When the model discards old information, AGMM also consistently exceeds the Fast Gradient Method.
On Space and Place in Mobile Settings

Space and place are often assumed be mutually dependent physical and social characteristics of context. However, in mobile settings, this assumption can be contested. This paper presents a mobile functional system comprised of a parent, a baby and a cart that exemplifies a situation where the material and bodily resources carried in the system form an important space in itself. Analysis on how parents use these resources leads to two theoretical implications: in certain mobile settings, (1) people can carry the space with them and configure it if needed, and (2) place can be chosen by the user, without changing the resources provided by the space. Therefore, in mobile settings, space and place are sometimes only loosely coupled, which can be benefited in system design.
Glioblastoma Multiforme from Diagnosis to Rehabilitation: a Prospective, Hospital- Based, Case Study of Inpatient Reported Symptoms, Physiotherapy and Functional Improvement

1 MD, Inamdar Multispeciality Hospital, Pune, India. 411040. 2 Medical Administrator, Inamdar Multispeciality Hospital, Pune, India. 411040. 3 Physiotherapy department Incharge, Inamdar Multispeciality Hospital, Pune , India. 411040. 4 Physiotherapist , Inamdar Multispeciality Hospital, Pune, India. 411040. 5 Physiotherapist , Inamdar Multispeciality Hospital, Pune, India. 411040. 6 Physiotherapist , Inamdar Multispeciality Hospital, Pune, India. 411040. 7 Physiotherapist , Inamdar Multispeciality Hospital, Pune, India. 411040.
Beware of the existence of a big bath with asset impairment after pandemic covid-19!

This study attempts to investigate the relationship between big bath accounting and asset impairment. It used the sample consisting of 231 firm-year observations from 33 mining companies listed on the Indonesia Stock Exchange during the 2012 to 2018 period. Logistic regression has been used to analyze a big bath accounting on assets impairment. The results provide evidence that companies that tend to do a big bath accounting will recognize a loss of asset value. A big bath accounting is done because managers assume that investors will respond when the company suffered large losses or small losses. The manager acknowledges the costs of future periods and current period losses when unfortunate unavoidable circumstances in the current period. It will consequently make a profit higher than expected in the next year. In the next period, the company’s performance will look better so that managers can maximize utility in the form of compensation for the targets that have been achieved.
Takagi’s function and its functional equations [w:] Rocznik Naukowo-Dydaktyczny. Zeszyt 196. Prace Matematyczne 15

where an is the number of digits 1 among c i,C 2, . ,c n in case cn = 0 and an is the number of digits 0 among c j, с г , . , Cn in case c„ = 1. Note that the argument x of T is given in its dyadic expansion whereas the value T ( x ) in general is not. The aim of Takagi was to present a simple example of a continuous nowhere differentiable function. In fact, the end property for T is much easier established than for other functions of this type considered earlier by Weierstrass. Since then many other authors discussed various end functions including Takagi’s; some historical information can be found in [1], [6], [9], [10], [16]. A note of van der Waerden [18] from the year 1930 became especially well (1)
Programmable Smart Home Toolkits Should Better Address Households’ Social Needs

End-user-programmable smart-home toolkits have engendered excitement in recent years. However, modern homes already cater quite well to users’ needs, and genuinely new needs for smart-home automation seldom arise. Acknowledging this challenging starting point, we conducted a six-week in-the-wild study of smart-home toolkits with four carefully recruited technology-savvy families. Interleaved with free toolkit use in the home were several creativity workshops to facilitate ideation and programming. We evaluated use experiences at the end of the six weeks. Even with extensive facilitation, families faced difficulties in identifying needs for smart-home automation, except for social needs that emerged in all the families. We present analysis of those needs and discuss how end-user-programmable toolkits could better engage with both those household members who design new automated functions and those who merely ‘use’ them.
Analysis of the Dimensions of Quality Perceived by Clients of Online Retail Organizations

The transformation in customer experience promoted by the advent of Web 2.0 has led to the measurement of customer perception of quality to consider more hedonic and subjective aspects of quality. Since there is no consensus in the literature on what the quality attributes of electronic services are and how they are organized, the objective was to investigate how to organize the objective and hedonic attributes of quality in online retail, based on the model of e-transqual measurement. For data analysis, descriptive statistics, and exploratory factor analysis (EFA) techniques were used. It is concluded that online retail companies should focus on technical characteristics, but should not overlook the hedonic aspects of quality, so as to make the customer experience during the buying process more enjoyable and thus ensure higher levels of quality. quality perception.
Training on Introduction to Platforms and Utilization of Social Media in Online Business for MSME Actors Students of SMK Alwashliyah 2 Simalungun Regency

Given the blossoming essence of social media marketing, literature does not delve into the complexities and consequences of small and medium-sized enterprises (SMEs). This paper seeks to advance awareness and provide an extensive analysis of the inspiration and efficiency benefits of social media provided by small and medium-sized businesses through a digital economy analysis. The conceptual analysis shows that interactivity, compatibility, and cost-effectiveness are reasons for social media use, ultimately providing advantages. SMEs of Facebook and Twitter profiles are used to analyze the conceptual paradigm suggested. This research reveals that the interdependencies of social media's motives and the consequences of social media use are optimistic but sporadic across small and medium-sized companies. SMEs selling physical goods prefer to use social media on cost-effective motivations, whereas small and medium-sized businesses tend to see interactivity as the main incentive. Furthermore, the study results indicate that Facebook and Twitter in a two-site story generate success gains for small and medium-sized enterprises' users. The study offers future analysis and management priority problems that strongly affect the academic and practice culture. Obviously, despite any bottlenecks in use, SMEs in developing markets tend to reap expanded social media gains through multi-platform marketing activities.
Stability of the semi-implicit method for the Cahn-Hilliard equation with logarithmic potentials

We consider the two-dimensional Cahn-Hilliard equation with logarithmic potentials and periodic boundary conditions. We employ the standard semi-implicit numerical scheme which treats the linear fourth-order dissipation term implicitly and the nonlinear term explicitly. Under natural constraints on the time step we prove strict phase separation and energy stability of the semi-implicit scheme. This appears to be the first rigorous result for the semi-implicit discretization of the Cahn-Hilliard equation with singular potentials.
FPGA Realization of Deep Neural Network for Hardware Trojan Detection

With the increase in outsourcing design and fabrication, malicious third-party vendors often insert hardware Trojan (HT) in the integrated Circuits(IC). It is difficult to identify these Trojans since the nature and characteristics of each Trojan differ significantly. Any method developed for HT detection is limited by its capacity on dealing with varied types of Trojans. The main purpose of this study is to show using deep learning (DL), this problem can be dealt with some extent and the effect of deep neural network (DNN) when it is realized on field programmable gate array (FPGA). In this paper, we propose a comparison of accuracy in finding faults on ISCAS’85 benchmark circuits between random forest classifier and DNN. Further for the faster processing time and less power consumption, the network is implemented on FPGA. The results show the performance of deep neural network gets better when a large number of nets are used and faster in the execution of the algorithm. Also, the speedup of the neuron is 100x times better when implemented on FPGA with 15.32% of resource utilization and provides less power consumption than GPU.
Chemical composition and antimicrobial activity of Myrtus communis essential oils from Algeria

Abstract. Mohamadi Y, Lograda T, Ramdani M, Figueredo G, Chalard P. 2021. Chemical composition and antimicrobial activity of Myrtus communis essential oils from Algeria. Biodiversitas 22: 933-946. The objectives of this study were to determine the chemical composition and the antibacterial activities of Myrtus communis essential oils. The aerial parts of the myrtle were collected from nineteen localities of the Algerian coast, and subjected to hydrodistillation. The chemical composition of essential oils was analyzed using gas chromatography coupled with mass spectrometry (GC/MS). The antibacterial activity was evaluated by the disk diffusion method against ten bacterial species. Essential oils of M. communis was pale yellow oils, very fragrant, with an average yield of 0.68 ± 0.6%. Forty-six compounds were identified, representing an average of 99.17 ± 0.6% of total oils. The α-pinene was the most abundant component in the essential oils of all populations studied, with a mean of 50.1 ± 10.3%, followed by 1,8-cineole (22.27 ± 4.32%), limonene (5.16 ± 2.67%), linalool (3.79 ± 2.97%), α-terpineol (2.75 ± 1.12%), geranyl acetate (1.95 ± 0.7%) and methyl eugenol (1.40 ± 0.98%). Myrtenyl acetate was only observed in four populations with significant levels (from 10.66 to 20.94%). Six chemotypes have been identified in these oils. The α-pinene – 1,8-cineole - limonene chemotype was found in the majority of populations. The chemotype of α-pinene - 1,8-cineole - α-terphenyl acetate characterizes the Oued El-Aneb population. The α-pinene - neryl formate - limonene chemotype is observed in the Honain population. The remaining populations are characterized by myrtenyl acetate. The essential oils of M. communis were effective against Staphylococcus aureus ATCC 25923, Salmonella enterica ATCC35659, Proteus mirabilis, and Escherichia coli ATCC 25922; however, no significant effect was observed on Klebsiella pneumonia ATCC 700603 and Serratia liquefaciens.
Development of a plant root cell model to study the perception of elicitors

The plant plasma membrane is a very complex structure, mainly composed of lipids and proteins, that determines cell boundaries and controls the entry and exit of molecules. In plants, the plasma membrane is involved in the perception of elicitors, such as surfactin. This molecule is able to induce the plant defense response which makes it a potential alternative to conventional pesticides. The molecular mechanism behind this perception process is little-known. To investigate this process, biomimetic models, including lipid monolayers, supported bilayers and liposomes, and biological models, including protoplasts are required. A protoplast is a cell which is delimited by the biological plasma membrane but that does no longer have its cell wall, it is a reliable model because it has a composition similar to the biological membrane. This master’s thesis aimed to develop and optimize the isolation of tomato root protoplasts and to optimize isothermal titration calorimetry (ITC) parameters for measuring the thermodynamics of binding events with protoplasts. After these optimization steps, interaction of protoplasts with surfactin was thermodynamically characterized with ITC and their reactivity in terms of defense response in presence of surfactin was analyzed by reactive oxygen species measurement. First, to optimize the isolation of tomato root protoplasts, the effect of four factors, including time and speed of centrifugation, the age of roots, the time of incubation with enzymes and the agitation speed during the incubation with enzymes, on protoplast production yield and percentage of viability was investigated. It was shown that all parameters had an influence on protoplast production yield and the protoplast suspension with the highest yield was obtained from 7-day-old roots that were incubated for 17 hours without agitation and that were purified with a centrifugation at 600 rcf for 6 minutes. It was also shown that flow cytometry on tomato root protoplasts is complicated due to the high number of debris in protoplast suspension. Its use would require an improvement of the purification steps of the protoplast suspension. Secondly, it was determined that the best configuration for the ITC measurements is to put the protoplasts in the measuring cell with a low agitation. In this case there was no decrease of the protoplast concentration and of their percentage of viability during a measurement. In presence of surfactin, a binding event was observed. However, optimization of the concentration of protoplasts is still required in order to obtain an optimal profile of heat flow for the determination of the thermodynamic parameters. Production of reactive oxygen species (ROS) was also observed in presence of surfactin confirming the good reactivity of protoplasts in terms of defense response. In conclusion, this thesis paves the way to produce and use root protoplasts in biophysical experiments such as ITC to better understand the perception of elicitors in plants.
THE EFFECT OF BRAND EQUITY ON BUYING BEHAVIOR OF SAI COSMETICS IN YANGON

This study attempts to identify the influencing factors on brand equity of SAI Cosmetics and to analyze the effect of brand equity on buying behavior of SAI Cosmetics. In this study, both primary and secondary data have been used. Primary data is collected with survey questionnaires. The structured questionnaire is conducted for 300 respondents who use SAI Cosmetics. The study finds that product quality, perceived value and communication have significant effect on brand awareness. Product quality and brand image have influence on brand associations, perceived quality and brand loyalty. According to the results of analysis, among the four elements of brand equity, brand awareness, brand loyalty and perceived quality play significant role in buying behavior of SAI Cosmetics in Yangon and it has the greatest contribution while the influence of brand associations is the weakest among the four elements. Lastly, SAI Cosmetics should implement more corporate social responsibility in the society to maintain and increase brand image among customers for more brand associations so that brand equity of SAI Cosmetics will be increased.
Brief Fear of Negative Evaluation Scale-II and Brief Fear of Negative Evaluation Scale-Straightforward Items: psychometric properties of the Turkish versions

How to cite this article: Gok BG, Yalcinkaya-Alkar O. Brief Fear of Negative Evaluation Scale-II and Brief Fear of Negative Evaluation ScaleStraightforward Items: psychometric properties of the Turkish versions. Dusunen Adam The Journal of Psychiatry and Neurological Sciences 2020;33:410-420. Brief Fear of Negative Evaluation Scale-II and Brief Fear of Negative Evaluation Scale-Straightforward Items: psychometric properties of the Turkish versions
Nanonization of andrographolide by a wet milling method: the effects of vitamin E TPGS and oral bioavailability enhancement

Andrographolide (AND) has wide prospects in clinical use, but suffers from the restriction of poor oral bioavailability, due to its low solubility, rapid and extensive metabolism and efflux by P-glycoprotein (P-gp). In this study, for the first time, nanocrystals of AND, a model of BCS class II, were obtained via the wet milling method, with TPGS as a stabilizer to enhance the bioavailability of AND; HPMC E5 nanocrystals (E5NCs) were fabricated as the negative control. Using the optimized formulation, AND/TPGS nanocrystals (TNCs) and E5NCs were prepared. Physical characterizations demonstrated that the two nanocrystals shared similar particle size, the same crystallinity and identical morphology. Both nanocrystals were physically stable at 4 °C and 25 °C, respectively, for at least 1 month. Significant increases in cumulative dissolution (90% and 70%) were obtained after the TNCs and E5NCs dissolved at 60 min, which were higher than for coarse AND (no more than 40%), indicating that TNCs were superior to E5NCs in dissolution. As elucidated in the single-pass intestinal perfusion studies of AND, the nanocrystals could facilitate intestinal uptake, and TPGS possessed improved intestine absorption properties. Oral administration of AND nanocrystals produced a substantial improvement in oral absorption, compared to the AND coarse suspension. Compared to E5NCs, there was a significant difference in AUC0–24h after the oral administration of TNCs. Compared to the model group, the TNCs and E5NCs inhibited xylene induced ear swelling by 59.98 and 48.06%, respectively. These results corroborated that TNCs were a promising formulation choice for the oral delivery of AND.