Miracle-dz/UniFAR-FTUs huggingface dataset:
Mitochondrial dysfunction in diabetes mellitus

This review discusses the hypothesis that mitochondrial dysfunction plays a role in the pathogenesis of the most common form of diabetes, type II diabetes mellitus. Mitochondrial mutations have been linked to the development of diabetes mellitus as part of several rare syndromes, accounting for approximately 1.5% of all cases of the disease (“classic” mitochondrial diabetes). The characteristics of classic mitochondrial diabetes are intermediate between those of type I and type II diabetes, more closely resembling the latter. By studying the biochemical, cellular, and physiologic consequences of mitochondrial DNA mutations that cause classic mitochondrial diabetes, we may also gain important insights into the pathogenesis of type II diabetes mellitus. Individuals with classic mitochondrial diabetes exhibit a variety of defects in mitochondrial electron transfer enzyme activities. Complex I and Complex IV activities in skeletal muscle are almost universally decreased in mitochondrial diabetics compared with control individuals. The major physiologic abnormality in classic mitochondrial diabetes is delayed and insufficient insulin secretion in response to a glucose load. Insulin resistance is less commonly observed in these patients. The link between mitochondrial function and insulin secretion is supported by cellular studies in which introduction of inhibitors of oxidative phosphorylation or depletion of mitochondrial DNA markedly impairs glucose mediated insulin secretion from pancreatic β‐cells. Evidence for mitochondrial dysfunction in the common form of type II diabetes includes excessive free radical levels in the plasma of diabetics, increased reactive oxygen species, and decreased ATP synthase activity in cybrids constructed from mitochondria of diabetic patients, and maternal inheritance of the disease. By using the occurrence of diabetes in rare mitochondrial syndromes as an example, evidence supporting a relationship between mitochondrial dysfunction and the common form of type II diabetes is discussed. Mitochondrial function may represent a novel area for the development of therapeutic and diagnostic strategies for type II diabetes mellitus. Drug Dev. Res. 46:67–79, 1999. © 1999 Wiley‐Liss, Inc.
Synthesis and Characterization of New Amino Acid-Schiff Bases and Studies their Effects on the Activity of ACP, PAP and NPA Enzymes (In Vitro)

In this study, two new Schiff base compounds derived from the condensation reaction of L-glycine and L-tryptophan with 4-methylbenzal-dehyde have been synthesized. The Schiff base compounds were characterized by FT-IR, UV and 1H NMR spectroscopy. Their effects on the activity of total (ACP), prostatic (PAP) and non prostatic (NPA) acid phosphatase enzymes were studied. The Schiff base derived from L-glycine (A) demonstrated inhibition effect on the ACP and NPA activities and activation effect on PAP activity. The Schiff base derived from L-tryptophan (B) demonstrated semi fixed inhibition effects on the ACP and NPA activities at high concentrations (5.5×10-2, 5.5×10-3 and 5.5×10-4 M) and activator effect at low concentration (5.5×10-5 M) while it was exhibits as activator on PAP activity.
Behavioural studies of Lead nitrate impact on crab Barytelphusa guerini

Heavy metals have a capacity to damage the natural ecosystem. There impact is often found to be magnified on biological systems. The present study had been carried out by considering the impact of Lead nitrate on behavioural patterns of crab Barytelphusa guerini. Crabs were exposed to increasing concentrations of Lead nitrate were kept in separate groups. The time period was taken as 24, 48, 72 and 96 hours. Both their physical and physiological behaviour were recorded and compared against the control group. It was found that the increasing concentrations of Lead nitrate showed a deviant behaviour than normal in feeding, excretion and overall body movements.
Dynamic Relationship between Macroeconomic Variables and Stock Returns: Empirical Evidence in Case of Sri Lanka.

Linkages between macroeconomic variables (MV) and stock return are still obscure in developing counties as mixed results were observed by various researchers in different time intervals. Therefore, the objectives of the study are (i) to identify the relationship between MV (exchange rate, interest rate, inflation rate, money supply) and all share total returns (ASTRI) of listed companies in Colombo Stock Exchange (CSE) in Sri Lanka during 2010 to 2017 and (ii) to examine whether long run or short run causality running from MV to ASTRI of listed companies in CSE. Period of research data covers from 2010 to 2017. ASTRI of this period was collected from Data Library of CSE. Inflation rate, three-month primary market Treasury bill yield rate, Broad money supply (M2) and Exchange rate were collected from website of Central Bank of Sri Lanka. Descriptive, ADF test for unit root, Johnson co-integration test and VECM are used to analyse the collected data. Results show that ADF variables are stationary I(1). Johansen tests for cointegration reveals that there is one co-integration between MV and ASTRI. It is also noted that there is no significance short run causality from MV to ASTRI. However, it observed that out of four MV, exchange rate is notable negative impact on ASTRI in short run. It is concluded that in the long run, Interest rate and Money Supply have a positive impact on ASTRI whereas Exchange rate and Inflation rate have a negative impact on ASTRI. Findings of the study help to existing and prospective investors, mangers of the company and policy makers how MV to be considered to make decision as those variables impact on the stock return.
Improvement of Microwave Rainfall Retrievals in Bayesian Retrieval Algorithms

This note describes a method to improve the current Tropical Rainfall Measuring Mission (TRMM) passive microwave rain rate estimates by adopting a modified probability density function (PDF) of rain rates in Bayesian retrieval algorithms. Unlike the original database that was generated from cloud model simulations mostly for more "eventful" cloud/rain cases, the modified PDF includes the probability of zero rain rates derived from actual observations. Based on analysis of one year TRMM data, this simple remedy lowers the passive microwave rain rate estimates by 3% and reduces the discrepancy between radiometer and radar estimates by 6%.
Independent components in acoustic emission energy signals from large diesel engines

This paper analyses acoustic emission energy signals acquired under mixed load conditions with one induced fault. With Mean field independent components analysis is applied to an observation matrix build from successive acoustic emission energy revolution signals. The paper presents novel results that provide remarkable automatic grouping of the observed signals equivalent to the grouping obtained by human experts. It is assumed that the observed signals are a non-negative mixture of the hidden (non-observable) non-negative acoustic energy source signals. The mean field independent component analysis incorporates those constraints and the estimates of the hidden signals are meaningful compared to the known conditions and changes in the experiment. Most important is the estimate of the load independent wear profile due to the induced fault. The strength of this signature increases as the load progress and disappear as the induced fault is removed – this result has not been achieved with classical independent components analysis or principal components analysis.
Screening of HIV sero positive women for cervical abnormalities

Background: Cancer cervix is a leading cause of death among women worldwide. Detection of cervical cancer in precancerous stage is 100% curable. Screening with Pap smear has reduced mortality by cervical cancer in developed countries many folds. The objective of the study is to determine prevalence of Cervical Intraepithelial Neoplasia (CIN) in HIV infected women and observe for associated lower genital infections and their correlation with CD4 counts.Methods: The present study is a cross-sectional observational study conducted at PGIMS, Rohtak, Haryana for a period of 18 months. 150 HIV patients and 150 age related control cases were taken. Pap smears were taken and analyzed for cervical abnormalities and genital infections.Results: Of the 300 Pap smear 22 (7.3%) has squamous intraepithelial abnormalities and 278 (92.7%) negative for intra epithelial abnormalities. Prevalence of cervical intraepithelial abnormities among HIV positive 12% while among HIV negative it is 2.7%. Cervical intraepithelial abnormalities were found in 40% and 3.5% of patients with CD4 count <200 and >200 respectively.Conclusions: HIV increases the risk of cervical abnormalities. Frequent screening of these patients for cervical cancer is needed.
Women Participation in Agro-allied Small and Medium Scale Enterprise and Its Impact on Poverty Alleviation in Oyo State Nigeria

This study examined the impact of women participation in agro-allied small and medium scale enterprises (SME) on poverty alleviation. Data were collected using the multistage sampling technique from 119 respondents in the study area made up of 59 participants and 60 non-participants. Data generated were analysed using descriptive statistics, FGT - weighted poverty measures and Probit regression analysis. Results from the study showed that the non-participants have the highest poverty level (51%), while the participants have poverty level of (17%) and the non-participants contribute greatly to whole group poverty. The estimated probit regression analysis showed that marital status, household size and women status in the family are poverty enhancing while educational status participation in Small and Medium Enterprises, income and monogamous family type are poverty reducing. Hence participation in agro-allied Small and Medium Enterprises is antidote to reducing poverty among women. (Fajimi F.O, Omonona B.T. Women Participation in Agro-allied Small and Medium Scale Enterprise and Its Impact on Poverty Alleviation in Oyo State Nigeria. Journal of American Science 2010;6(12):771-780). (ISSN: 1545-1003). http://www.americanscience. org.
Ab initio calculations of magnetotransport for magnetic multilayers

We have used the spin-polarized relativistic screened Korringa-Kohn-Rostoker method for layered systems together with the Kubo-Greenwood formalism and the coherent-potential approximation to describe electrical transport properties of magnetic multilayers. We are able to calculate resistivities and magnetoresistance of model structures with no adjustable parameters by simultaneously determining contributions to the giant magnetoresistance of multilayers coming from both the electronic structure and spin-dependent scattering off impurities. @S0163-1829~99! 05125-5#
FREQUENCY FILTERING AND CONNECTED COMPONENTS CHARACTERIZATION FOR ZEBRA-CROSSING AND HATCHED MARKINGS DETECTION

In this paper, a new method for the detection and recognition of “repeating” markings such as hatched area, zebra-crossing, chevrons and “give way” markings is proposed. The detection of these kinds of markings is a manifold challenge. Besides being able to localize them (useful, e.g., for markings database constitution or for Advanced Driver Assistance Systems), their detection may help to improve the efficiency of other algorithms like the detection and the recognition of continuous and dashed lines. This article describes our three-step algorithm. First step is to segment markings on image. This process is a difficult task due to shadows on the road and because of deterioration and dirtiness of markings. Several line extraction techniques are compared in order to determine which of them can be considered to best filter noise on road image. This result is extended to extract larger markings (hatched markings, zebra-crossing, arrows). Then the following of the treatment is to filter candidate markings in the frequency and spatial domains according to their characteristics. Results of this algorithm are validated on a significant image set.
Human development thresholds for inclusive mobile banking in developing countries

This study assesses human development thresholds at which mobile banking mitigates poverty and inequality in 93 developing countries for the year 2011. Mobile banking entails ‘mobile used to pay bills’ and ‘mobile used to receive/send money’, while the modifying policy indicator is the human development index (HDI). The empirical evidence is based on interactive quantile regressions. A summary of the findings shows that with increasing human development: (i) ‘mobiles used to pay bills’ contribute to reducing inequality in countries at the bottom and top ends of the inequality distribution, while (ii) ‘mobiles used to receive/send money’ have an appealing role in promoting inclusive development in all poverty distributions, with the exception of the top-end or 90th decile. The modifying thresholds of the HDI vary from 0.542 to 0.632 and 0.333 to 0.705 in inequality and poverty specifications, respectively. The relevance of the findings is discussed in light of the current transition from Millennium Development Goals to Sustainable Development Goals.
Using an imperfect photonic network to implement random unitaries

: We numerically investigate the implementation of Haar-random unitarity transformations and Fourier transformations in photonic devices consisting of beam splitters and phase shifters, which are used for integrated photonics implementations of boson sampling. The distribution of reﬂectivities required to implement an arbitrary unitary transformation is skewed towards low values, and this skew becomes stronger the larger the number of modes. A realistic implementation using Mach-Zehnder interferometers is incapable of achieving the low values required and thus has limited ﬁdelity. We show that numerical optimisation and adding extra beam splitters to the network can help to restore ﬁdelity.
An Indexing Structure for Automatic Schema Matching

Querying semantically related data sources depends on the ability to map between their schemas. Unfortunately, in most cases matching between schema is still largely performed manually or semi-automatically. Consequently, the issue of finding semantic mappings became the principal bottleneck in the deployment of the mediation systems in large scale where the number of ontologies and or schemata to be put in correspondence is very large. Currently the mapping tools employ techniques for mapping two schemas at a time with human intervention for ensuring a good quality of mappings. In the large-scale scenario such techniques are not suitable. Indeed, in such a scenario one requires an automated performance oriented solution. Moreover, the automated method should also provide acceptable quality of mappings. In this paper, we present an automatic schema matching approach dealing with two aspects: performance and quality of mappings. However, we will focus on the performance aspect. For this, our method uses a B-tree index structure. Furthermore, our approach has been implemented and the experiments with real sets of schema show that it is scalable and provides very good performance.
Spoof Detection Using Time-Delay Shallow Neural Network and Feature Switching

Detecting spoofed utterances is a fundamental problem in voice-based biometrics. Spoofing can be performed either by logical accesses like speech synthesis, voice conversion or by physical accesses such as replaying the pre-recorded utterance. Inspired by the state-of-the-art x-vector based speaker verification approach, this paper proposes a time-delay shallow neural network (TD-SNN) for spoof detection for both logical and physical access. The novelty of the proposed TD-SNN system vis-a-vis conventional DNN systems is that it can handle variable length utterances during testing. Performance of the proposed TD-SNN systems and the baseline Gaussian mixture models (GMMs) is analyzed on the ASV-spoof-2019 dataset. The performance of the systems is measured in terms of the minimum normalized tandem detection cost function (min-t-DCF). When studied with individual features, the TD-SNN system consistently outperforms the GMM system for physical access. For logical access, GMM surpasses TD-SNN systems for certain individual features. When combined with the decision-level feature switching (DLFS) paradigm, the best TD-SNN system outperforms the best baseline GMM system on evaluation data with a relative improvement of 48.03% and 49.47% for both logical and physical access, respectively.
Customer Retention in Banking Sector using Predictive Data Mining Technique

Churn in the banking sector is a major problem today. Losing the customers can be very expensive as it costs to acquire a new customer. In this paper, we have made a solution for the churn problem in banking sector using data mining technique. Predictive data mining techniques are useful to convert the meaningful data into knowledge. As predicting churn is more important for a bank, we have used Classification and Regression Trees to yield a better overall classification rate. KeywordsPredictive Data Mining, Churn Prediction, Classification models, Banking sector
Extending modified module analysis to include correct responses: Analysis of the Force Concept Inventory

Brewe, Bruun, and Bearden first applied network analysis to understand patterns of incorrect conceptual physics reasoning in multiple-choice instruments introducing the Module Analysis for Multiple-Choice Responses (MAMCR) algorithm. Wells {\it et al.} proposed an extension to the algorithm which allowed the analysis of large datasets called Modified Module Analysis (MMA). This method analyzed the network structure of the correlation matrix of the responses to a multiple-choice instrument. Both MAMCR and MMA could only be applied to networks of incorrect responses. In this study, an extension of MMA is explored which allows the analysis of networks involving both correct and incorrect responses. The extension analyzes the network structure of the partial correlation matrix instead of the correlation matrix. The new algorithm, called MMA-P, was applied to the FCI and recovered much of the structure identified by MMA. The algorithm also identified sets of correct answers requiring similar physical reasoning reported in previous studies. Beyond groups of all correct and all incorrect responses, some groups of responses which mixed correct and incorrect responses were also identified. Some of these mixed response groups were produced when a correct response was selected for incorrect reasons; some of the groups helped to explain the gender unfairness previously reported for the FCI.
Brazilian Journal of Chemical Engineering EFFECTS OF MASS TRANSFER ON MHD FLOW OF CASSON FLUID WITH CHEMICAL REACTION AND SUCTION

Effect of mass transfer in the magnetohydrodynamic flow of a Casson fluid over a porous stretching sheet is addressed in the presence of a chemical reaction. A series solution for the resulting nonlinear flow is computed. The skin friction coefficient and local Sherwood number are analyzed through numerical values for various parameters of interest. The velocity and concentration fields are illustrated for several pertinent flow parameters. We observed that the Casson parameter and Hartman number have similar effects on the velocity in a qualitative sense. We further analyzed that the concentration profile decreases rapidly in comparison to the fluid velocity when we increased the values of the suction parameter.
NRF2 as a Therapeutic Target in Neurodegenerative Diseases

Increased reactive oxygen species production and oxidative stress have been implicated in the pathogenesis of numerous neurodegenerative conditions including among others Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, Friedrich’s ataxia, multiple sclerosis, and stroke. The endogenous antioxidant response pathway protects cells from oxidative stress by increasing the expression of cytoprotective enzymes and is regulated by the transcription factor nuclear factor erythroid 2-related factor 2 (NRF2). In addition to regulating the expression of antioxidant genes, NRF2 has also been shown to exert anti-inflammatory effects and modulate both mitochondrial function and biogenesis. This is because mitochondrial dysfunction and neuroinflammation are features of many neurodegenerative diseases as well NRF2 has emerged as a promising therapeutic target. Here, we review evidence for a beneficial role of NRF2 in neurodegenerative conditions and the potential of specific NRF2 activators as therapeutic agents.
Knowledge about the impact of age on fertility: a brief review

Abstract Delayed childbearing is currently a major challenge in reproductive medicine as increased age has an important impact on successful conception, both in natural and in assisted reproduction. There is a lack of knowledge about the impact of age on fertility, even in highly educated populations. A number of initiatives have been taken to increase fertility awareness. Health care providers have been encouraged to talk with patients about their reproductive life plan (RLP) for almost a decade based on recommendations from the Centres for Disease Control and Prevention. This concept has been explored successfully in Swedish contraception counselling. A growing number of online interventions aim to raise fertility awareness. These websites or interactive tools provide relevant information for individuals and couples as they consider whether they want children, when they should have them, and how many they may wish to have. These interventions are important, because research depicts that knowledge helps people in their decision-making process. With new fertility preservations such as egg freezing now available, additional education is needed to be sure that women and couples are well informed about the cost and low success rates of this intervention.
Woman Image in "Miss Jinjing Belanja Sampai Mati" Book

Book of “Miss Jinjing Belanja Sampai Mati” or “Miss Carry Shops to Dies” explains about lifestyle, shopping world and woman leading to the emergence of Miss Jinjing’s icon for the spirit of shopaholic or shopping lovers. This research aims to reveal how Miss Jinjing Belanja Sampai Mati’s text book presents and reflects women image using of simulation imaginary model of Jean Baudrillard, and how the media is used as a means of capitalism legitimacy. This research uses a qualitative method. The research output concludes that women are as consumptive figures, connoisseur, and shopping lover. By having seen on simulation imaginary model of Jean Baudrillard, the form of image starts from representation, ideology, and simulation phases reflected in Miss Jinjing’s text book; while the simulacra leading to hyperreality happens when the readers are brought into text persuasion. Media’s work in forming the image of consumptive women, shopping lovers and shopaholic is a reflection of capitalism identity. Media presents an excessive reality in its writing on lifestyle and shopping world for women to control and dominate so that women are able to be voluntary and even do in many ways to achieve hyperreality formed by capitalism system. Woman image established in this case, is no longer another thing than as commodity which is expected to be sold out to advertisers.