Miracle-dz/UniFAR-FTUs huggingface dataset:
An LSTM based DNN Model for Neurological Disease Prediction Using Voice Characteristics

INTRODUCTION: A neurological condition known as Parkinson's disease (PD); it affected millions of individuals worldwide. An early diagnosis can help enhance the quality of life for those who are affected with this disease. This paper presents a novel Deep neural network model based on Long Short-Term Memory (LSTM) design for the identification of PD using voice features. OBJECTIVES: This research work aims to Identify the presence of PD using voice features of individuals. To achieve this, a Deep neural Network with LSTM is to be designed. Objective of the work is to analyse the voice data and implement the model with good accuracy. METHODS: The proposed model is a Deep Neural Network with LSTM. RESULTS: The proposed method uses the features gleaned from voice signals for training phase of LSTM model which achieved an accuracy of 89.23%, precision value as 0.898, F1-score of 0.965, and recall value as 0.931and is observed as best when compared to existing models. CONCLUSION: Deep Neural Networks are more powerful than ANNs ahd when associated with LSTM , the model outperformed the job of identifying PD using voice data.
Does Oil Hinder Democracy?

Some scholars suggest that the Middle East's oil wealth helps explain its failure to democratize. This article examines three aspects of this "oil impedes democracy" claim. First, is it true? Does oil have a consistently antidemocratic effect on states, once other factors are accounted for? Second, can this claim be generalized? Is it true only in the Middle East or elsewhere as well? Is it true for other types of mineral wealth and other types of commodity wealth or only for oil? Finally, if oil does have antidemocratic properties, what is the causal mechanism? The author uses pooled time-series cross-national data from 113 states between 1971 and 1997 to show that oil exports are strongly associated with authoritarian rule; that this effect is not limited to the Middle East; and that other types of mineral exports have a similar antidemocratic effect, while other types of commodity exports do not. The author also tests three explanations for this pattern: a "rentier effect," which suggests that resource-rich governments use low tax rates and patronage to dampen democratic pressures; a "repression effect," which holds that resource wealth enables governments to strengthen their internal security forces and hence repress popular movements; and a "modernization effect," which implies that growth that is based on the export of oil and minerals will fail to bring about the social and cultural changes that tend to produce democratic government. He finds at least limited support for all three effects.
Ordering by weighted number of wins gives a good ranking for weighted tournaments

We consider the following simple algorithm for feedback arc set problem in weighted tournaments --- order the vertices by their weighted indegrees. We show that this algorithm has an approximation guarantee of 5 if the weights satisfy <i>probability constraints</i> (for any pair of vertices <i>u</i> and <i>v, w</i><inf><i>uv</i></inf> + w<inf><i>vu</i></inf> = 1). Special cases of feedback arc set problem in such weighted tournaments include feedback arc set problem in unweighted tournaments and rank aggregation. Finally, for any constant ε > 0, we exhibit an infinite family of (unweighted) tournaments for which the above algorithm (<i>irrespective</i> of how ties are broken) has an approximation ratio of 5 - ε.
Raman spectroscopy of diamond and doped diamond

The optimization of diamond films as valuable engineering materials for a wide variety of applications has required the development of robust methods for their characterization. Of the many methods used, Raman microscopy is perhaps the most valuable because it provides readily distinguishable signatures of each of the different forms of carbon (e.g. diamond, graphite, buckyballs). In addition it is non-destructive, requires little or no specimen preparation, is performed in air and can produce spatially resolved maps of the different forms of carbon within a specimen. This article begins by reviewing the strengths (and some of the pitfalls) of the Raman technique for the analysis of diamond and diamond films and surveys some of the latest developments (for example, surface-enhanced Raman and ultraviolet Raman spectroscopy) which hold the promise of providing a more profound understanding of the outstanding properties of these materials. The remainder of the article is devoted to the uses of Raman spectroscopy in diamond science and technology. Topics covered include using Raman spectroscopy to assess stress, crystalline perfection, phase purity, crystallite size, point defects and doping in diamond and diamond films.
Regulation of Pregnane X Receptor (PXR) Function and UGT1A1 Gene Expression by Posttranslational Modification of PXR Protein

Human UDP-glucuronosyltransferase (UGT) 1A1 is a critical enzyme responsible for detoxification and metabolism of endogenous and exogenous lipophilic compounds such as bilirubin. The present study shows how cyclin-dependent kinase (CDK) inhibitor roscovitine stimulated the expression of UGT1A1 in HepG2 cells. Pregnane X receptor (PXR)-mediated transactivation of UGT1A1 reporter gene was more prominently enhanced by roscovitine, compared with the basal-, constitutive androstane receptor (CAR)-, and aryl hydrocarbon receptor-mediated activities. We determined the regulatory mechanism of UGT1A1 expression through PXR's stimulation by roscovitine. Although phosphomimetic mutations at Thr290 and Thr408 retained the PXR protein in cytoplasm and attenuated the induction of UGT1A1 expression by both roscovitine and rifampicin, a mutation at Ser350 specifically reduced the activity of PXR induced by roscovitine. Immunoprecipitation analysis revealed that the T290D but not T408D mutant protein remained in cytoplasm by forming a complex with heat shock protein 90 and cytoplasmic CAR retention protein, whereas treatment with proteasome inhibitor MG-132 accumulated the T408D mutant protein in cytoplasm. Transfection with anti-CDK2 small interfering RNA (siRNA) but not anti-CDK1 or CDK5 siRNA led to enhanced expression of UGT1A1. S350D yellow fluorescent protein-PXR fusion protein could translocate from cytoplasm to nucleus similar to the wild-type protein but was detected as an acetylated protein, whose binding with retinoid X receptor (RXR) and histone deacetylase was impaired. Cotransfection with coactivator steroid receptor coactivator (SRC) 2 but not SRC-1 partly recovered its PXR activity. These results indicate that roscovitine stimulated the expression of UGT1A1 by inhibiting CDK2, which phosphorylated PXR at Ser350 to suppress binding with RXR and coactivator and maintain the acetylation of PXR protein.
ZmSMR10 Increases the Level of Endoreplication of Plants through Its Interactions with ZmPCNA2 and ZmCSN5B

As a plant-specific endoreplication regulator, the SIAMESE-RELATED (SMR) family (a cyclin-dependent kinase inhibitor) plays an important role in plant growth and development and resistance to stress. Although the genes of the maize (Zea mays) SMR family have been studied extensively, the ZmSMR10 (Zm00001eb231280) gene has not been reported. In this study, the function of this gene was characterized by overexpression and silencing. Compared with the control, the transgenic plants exhibited the phenotypes of early maturation, dwarfing, and drought resistance. Expression of the protein in prokaryotes demonstrates that ZmSMR10 is a small protein, and the results of subcellular localization suggest that it travels functionally in the nucleus. Unlike ZmSMR4, yeast two-hybrid experiments demonstrated that ZmSMR10 does not interact strongly with with some cell cycle protein-dependent protein kinase (CDK) family members ZmCDKA;1/ZmCDKA;3/ZmCDKB1;1. Instead, it interacts strongly with ZmPCNA2 and ZmCSN5B. Based on these results, we concluded that ZmSMR10 is involved in the regulation of endoreplication through the interaction of ZmPCNA2 and ZmCSN5B. These findings provide a theoretical basis to understand the mechanism of the regulation of endoreplication and improve the yield of maize through the use of molecular techniques.
Using an Institution Platform of E-Learning in English Language Teaching (ELT) Process at ITB AAS Indonesia

E-learning relies on technology. It requires hardware, software, and network infrastructure. Most e-learning environments today are Web-based, so they can be accessed via Web browsers (using HTTP) over a TCP/IP network such as a university or campus network. The objective of this research is to describe the implementation and to find the strengths and weaknesses of the institution's platform of e-learning in ITB AAS Indonesia. This research is descriptive qualitative research. The result analysis shows that ITB AAS Indonesia has an e-learning system that can be accessed at https://itbaas.ac. id/elearning/. The learning process may be governed or managed by a system based on LMS (Learning Management System). The implementation of online English teaching by using e-learning consists include planning, implementation, and evaluation. In preparing English language teaching, the lecture follows instructions for creating materials. Before uploading material, the English lecturer prepares the material file that he/she wants to upload, fills in all material identities (title of the material, choice of courses, choice of class, material content) then uploads material files. In the implementation of English Language Teaching, the English lecturer prepares the media of video conferencing in online learning. The English lecturer carries out online learning by using Zoom meetings and YouTube Live Streaming. In evaluation, the English lecturer can evaluate by giving the mid-term and final semester tasks in the e-learning platform. The e-learning system in ITB AAS Indonesia has advantages, of course, it also has disadvantages. Therefore, the process of improving the e-learning application is still required and needs to be improved for the success of the teaching and learning process.
Education and Support for Fathers Improves Breastfeeding Rates

Background: Studies have identified numerous factors affecting breastfeeding initiation and duration, including maternal education, mode of delivery, birth weight, socioeconomic status, and support of the infant’s father. Objective: The objective was to investigate the effects of an antenatal education session and postnatal support targeted to fathers. Methods: The Fathers Infant Feeding Initiative (FIFI Study) is a randomized controlled trial to increase the initiation and duration of breastfeeding that was conducted in 8 public maternity hospitals in Perth, Western Australia. A total of 699 couples were randomized within hospitals to either intervention or control groups. The intervention consisted of a 2-hour antenatal education session and postnatal support provided to fathers. Results: The any breastfeeding rate for the intervention group was significantly greater at 6 weeks: 81.6% in the intervention group compared to 75.2% in the control group, odds ratio 1.46 (95% CI, 1.01-2.13). After adjustment for age and hospital, the odds ratio for any breastfeeding in the intervention group was 1.58 (1.06-2.35) and for socioeconomic status (SES), 1.56 (1.06-2.30). The infants of older fathers were more likely to be breastfed at 6 weeks compared to infants of younger fathers (P < .01), and infants of fathers with high SES more likely than infants of fathers with low SES (P = .013). Conclusion: Even a small increase in breastfeeding rates brings public health benefits. In this study, a minimal intervention was found to significantly increase any breastfeeding at 6 weeks: 81.6% in the intervention group compared to 75.2% in the control group.
Norcantharidin Sensitizes Colorectal Cancer Cells to Radiotherapy via Reactive Oxygen Species–DRP1-Mediated Mitochondrial Damage

Norcantharidin (NCTD), a cantharidin derivative, induces ROS generation and is widely used to treat CRC. In this study, we clarified the role and mechanism of action of norcantharidin in increasing CRC sensitivity to radiotherapy. We treated the CRC cell lines LoVo and DLD-1 with NCTD (10 or 50 μmol/L), ionizing radiation (IR, 6 Gy), and a combination of the two and found that NCTD significantly inhibited the proliferation of CRC cells and enhanced their sensitivity to radiotherapy. NCTD induced ROS generation by decreasing the mitochondrial membrane potential, increasing mitochondrial membrane permeability, and promoting cytochrome C release from mitochondria into the cytoplasm. IR combined with NCTD induced ROS production, which activated the mitochondrial fission protein DRP1, leading to increased mitochondrial fission and CRC sensitivity to radiotherapy. NCTD also reduced CRC cell resistance to radiotherapy by blocking the cell cycle at the G2/M phase and decreasing p-CHK2, cyclin B1, and p-CDC2 expression. NCTD and IR also inhibited radiation resistance by causing DNA damage. Our findings provide evidence for the potential therapeutic use of NCTD and IR against CRC. Moreover, this study elucidates whether NCTD can overcome CRC radiation tolerance and provides insights into the underlying mechanisms.
Recent developments in maximum likelihood estimation of MTMM models for categorical data

Maximum likelihood (ML) estimation of categorical multitrait-multimethod (MTMM) data is challenging because the likelihood involves high-dimensional integrals over the crossed method and trait factors, with no known closed-form solution. The purpose of the study is to introduce three newly developed ML methods that are eligible for estimating MTMM models with categorical responses: Variational maximization-maximization (e.g., Rijmen and Jeon, 2013), alternating imputation posterior (e.g., Cho and Rabe-Hesketh, 2011), and Monte Carlo local likelihood (e.g., Jeon et al., under revision). Each method is briefly described and its applicability for MTMM models with categorical data are discussed.
Optimal Model for Failure Foresight Capacitated Controller Placement in Software-Defined Networks

Controller placement is an important problem in software-defined networks. If a controller fails, there may be no controller with enough spare capacity to serve switches of the failed controller, which leads to switches being disconnected from the controller. Even if there are controllers with enough spare capacity, reassigning switches of the failed controller may drastically increase the worst case latency. In this letter, we propose a mathematical model for the capacitated controller placement that plans ahead for the failures to avoid a drastic increase in the worst case latency and disconnections. The objective of our model is to minimize the worst case latency between the switches and their Kth reference controllers. We also introduce a variant of the proposed model that minimizes the worst case latencies with and without failures together. Our simulation results show that the controller placements that plan ahead for the failures result in much lower latency compared with the placement without planning ahead.
A Novel and Secure Image Interpolation Methods for Image Disguise

The advent of digital forensic techniques imposes great challenges to the security of image disguise where tampering is involved to conceal the existence of sensitive objects in the source image. As a consequence, image interpolation that is a prerequisite step in image disguise should be adapted to be forensic resistant. This paper proposes a novel and secure interpolation method to facilitate image disguise. As it is reported in the literature, the trace of interpolation can be detected by exploiting the linear relationship among pixels. Therefore, forensic resistant is achieved in this work by breaking the linear relationship among pixels. In particular, genetic algorithm is employed make a balance between forensic resistance and the visual quality of the tampered image.
Position and force augmentation in a telepresence system and their effects on perceived realism

Haptic assistance functions for a telepresence system are presented and assessed. These assistance functions are based on the augmentation of exchanged position and force data, and they are intended to increase the transparency of the telepresence system while maintaining stability. We present the concept and implementation of different assistance functions. Furthermore, we show the setup and results of a psychophysical experiment, which was designed to evaluate the effects of the assistance functions on perceived realism. As a result, the position assistance can increase stability and safety without negatively affecting transparency, and the force assistance can even increase the feeling of presence under certain conditions.
A Morphological Approach to Fish Discrimination

In this paper, we propose a new method of the feature extraction for fish discrimination using mathematical morphology. The conventional research of fish discrimination used parameters which relied upon the physical characteristics of shape, contour and colour. But these methods were insufficient for pract,ical application system. Other physical pararneters include the colouring patterns, speckles and the scale forms of the fish. We focused on the speckle patterns and scale forms of fish as significant ident,ifica,tion features. We tried to extract the features of Japanese Horse Mackerel (ma-aji), Pilchard Sardine (ma-iwashi) and Common Mackerel (ma-saba) by iilnpleinenting newly designed morphological filters and algorithms. The discriminatio~i system was in~plemented on the distributed pa.rallel ima.ge processing system. Experimental results show the discrimination performance is superior to the conventional methods.
A Novel Online Bayes Classifier

We present VIGO, a novel online Bayesian classifier for both binary or multiclass problems. In our model, variational inference for multivariate Gaussian distribution technique is exploited to approximate the class conditional probability density functions of data in an online manner. Besides being a conservative learner with a low number of updates compared with many other popular algorithms, VIGO algorithm can be updated in a minibatch of an arbitrary size which makes it robust with noise data. Experiments over a large number of UCI datasets demonstrate the advantage of VIGO with many state-of-the-art methods presented in LIBOL - a prevalent library for online learning algorithms.
Sex-Specific Effects of Estradiol and Progesterone in Ischemic Kidney Injury

The positive effects of female sex hormones, particularly estradiol and progesterone, have been observed in treatment of various pathologies. Acute kidney injury (AKI) is a common condition in hospitalized patients in which the molecular mechanisms of hormone action are poorly characterized. In this study, we investigated the influence of estradiol and progesterone on renal cells during ischemic injury. We performed both in vivo experiments on female and male rats and in vitro experiments on renal tubular cells (RTCs) obtained from the kidneys of intact animals of different sexes. Since mitochondria play an important role in the pathogenesis of AKI, we analyzed the properties of individual mitochondria in renal cells, including the area, roundness, mitochondrial membrane potential, and mitochondrial permeability transition pore (mPTP) opening time. We found that pre-treatment with progesterone or estradiol attenuated the severity of ischemia/reperfusion (I/R)-induced AKI in female rats, whereas in male rats, these hormones exacerbated renal dysfunction. We demonstrated that the mPTP opening time was higher in RTCs from female rats than that in those from male rats, which may be one of the reasons for the higher tolerance of females to ischemic injury. In RTCs from the kidneys of male rats, progesterone caused mitochondrial fragmentation, which can be associated with reduced cell viability. Thus, therapy with progesterone or estradiol displays quite different effects depending on sex, and could be only effective against ischemic AKI in females.
Using Electronic Collaborative Media according Organizational Culture

Incorporated groupware can gather people of various skills around the globe to share their knowledge while working on a project. Internet, intranet, and other groupware technologies, such as Lotus-Notes, video conferencing and e-mail can be used to distribute and share individual experience and innovation throughout the organization. Therefore, Organizations especially those adapting to rapidly changing environments, face the challenge of being able to use these technologies, in order to gain knowledge sharing effectively within highly constrained timeframes. There are many environmental factors have effect on using these technologies. This study came to explore the effect of organizational culture on using electronic collaborative media. This study investigated a sample formed of (180) individuals operating in a number of hospitals within the Jordanian health sector; using the electronic collaborative system, to perform its different duties. In order to achieve this purpose the study proposed the following hypotheses: organizational culture is positively influences on using electronic collaborative media.
Evaluation of some Bread Wheat Cultivars Under Irrigation Intervals 1: Grain Yield, Its Attributes and Water Use Efficiency

This study was performed at El-Gemmeiza Agricultural Research Station (ARC), El-Gharbia Governorate, Egypt, during 2019/2020 and 2020/2021 growing seasons to evaluate effects of three irrigation intervals on grain yield and yield components and water use efficiency of ten wheat cultivars. Four replications of a split-plot design were carried out, the main plots were included three irrigation intervals i.e. , irrigation every 20, 30 and 40 days and the ten bread wheat cultivars i.e. , Giza171, Sakha 95, Sids14, Misr 3, Giza 168, Misr 2, Gemmeiza 11, Sakha 94, Shandweel 1 and Gemmeiza 12 were placed in sub-plots. Irrigation intervals every 20 days recorded the highest significant values of all the studied characters except for grain protein percentage and water use efficiency that recorded highest values by irrigation intervals every 40 days in the two growing seasons. Misr 3 cultivar recorded the highest 1000-grain weight, number of spikes/m 2 , grain weight/spike, grain and biological yields/fad in the two seasons. While, Gemmeiza 11 generated the tallest spike and the highest protein content in the grain during the two seasons. Irrigation Misr 3 every 20 days produced the highest spike/m 2 , biological yields and grain yield per fad in the second season. While irrigating Gemmeiza 11 and Shandweel 1 every 20 days resulted in the best water consumption use in the two seasons. Finally, a positive correlation and significant relationships were detected between grain yield/fad and all yield attributes. It could be concluded that growing Misr 3 cultivar with irrigation every 20 days can achieve high grain yield and water use efficiency under middle delta zone conditions.