Miracle-dz/UniFAR-FTUs huggingface dataset:
Ypt1p is essential for retrograde Golgi-ER transport and for Golgi maintenance in S. cerevisiae

The small GTPase Ypt1p of the Rab family is required for docking of ER-derived transport vesicles with the Golgi prior to fusion. However, the identity of the Rab protein that mediates docking of Golgi-derived COPI vesicles with the ER in retrograde transport remains elusive. Here, we show that in yeast Ypt1p is essential for retrograde transport from the Golgi to the ER. Retrieval of gpαF-HDEL (glycolylated pro-α-factor with an HDEL tag at the C-terminus) was blocked in Δypt1/SLY1-20 membranes at the restrictive temperature in vitro. Moreover, Ypt1p and the ER-resident t-SNARE Ufe1p interact genetically and biochemically, indicating a role for Ypt1p in consumption of COPI vesicles at the ER. Ypt1p is also essential for the maintenance of the morphology and the protein composition of the Golgi. Interestingly, the concentrations of the Golgi enzymes Anp1p and Mnn1p, the cargo protein Emp47p and the v-SNARE Sec22p were all substantially reduced in Golgi from a Δypt1/SLY1-20 strain as compared with wild-type Golgi, while the concentration of Arf1p and of coatomer were mildly affected. Finally, COPI vesicles generated from Δypt1/SLY1-20 Golgi membranes in vitro were depleted of Emp47p and Sec22p. These data demonstrate that Ypt1p plays an essential role in retrograde transport from the Golgi to the ER.
Leishmania amazonensis: cultivation and characterization of axenic amastigote-like organisms.

Extracellular amastigote-like forms of Leishmania amazonensis can be maintained in axenic culture at 32 degrees C, pH 4.6, with a generation time of approximately 17 hr. This species of Leishmania is of particular interest since it has been associated with cutaneous, diffuse cutaneous, and mucocutaneous forms of the disease. Immunofluorescence, Western and Northern blot analyses, and immunoprecipitation have been used to estimate the expression levels of amastigote or promastigote antigens in axenically cultured amastigotes. In these analyses, monoclonal antibodies (mAbs) specific for either the amastigote (A-1, A-2, P-2, P-4, P-5, P-8) or promastigote (M-2, P-9, and F-4) and a DNA probe that was specific for the amastigote gene encoding the protein reactive with mAb P-4 have been employed. The amastigote-like organisms were infective for peritoneal and J774.G8 macrophages and BALB/c mice. While amastigote-like forms maintained at pH 4.6, 32 degrees C transformed to promastigotes when transferred to pH 7.3, 24 degrees C, transformation of promastigotes to amastigote-like organisms required a period of growth at pH 4.6 24 degrees C prior to transfer to 32 degrees C. This is the first report of the axenic cultivation of L. amazonensis amastigote-like organisms. This species grows in continual culture at a lower pH than any other species characterized to date. These organisms will prove useful in further studies of the biochemistry, immunology, developmental biology, and molecular biology of this parasite.
A Low Power 4 th order ΔΣ ADC using 6-bit SAR Type Quantizer

This paper presents a switched-capacitor fourth-order ΔΣ analog-todigital converter (ADC) for sensing and audio applications. The proposed fourth-order modulator ΔΣ ADC with input-feed forward architecture is used to reduce the voltage swing of the integrators, which facilitates low-power amplifiers. By considering the characteristics of the modulator architecture, low-quiescent operational trans-conductance amplifiers are designed, which use positive feedback to increase dc gain. A novel and low power 6-bit asynchronous successive approximation register (SAR) type internal quantizer is used for power efficient design by incorporating the analog summer with the quantizer. Dynamic element matching (DEM) technique is applied with tree based algorithm to reduce the distortion resulted from the capacitor mismatch in the feedback digital-to-analog converter (DAC). The prototype ΔΣ ADC implemented in a 40nm CMOS process achieves 95.4 dB peak signal-to-noise ratio (SNR), 92.3 dB peak signal-to-noise and distortion ratio (SNDR) and 107.2 dB dynamic range (DR) for a signal bandwidth of 32 kHz while consuming 300uW at 0.9V supply voltage. The designed low voltage ΔΣ ADC modulator shows very high figure of merit with optimized performance.
Musculoskeletal Disorders and Whole Body Vibration Exposure among Auto-Rickshaw (Three Wheelers) Drivers: A Case Study in Northern India

Basic Background: The three-wheelers (auto rickshaw) are predominantly being used as a mean of transportation of goods in industries and local transportation in cities and suburban areas of northern India. This study aims to assess the whole body vibration exposure and prevalence of musculoskeletal disorders among auto rickshaw drivers. Procedure and Methods: The study included four models of auto rickshaws for assessment of whole body vibration exposure with different road conditions and the number of passengers boarded and its association with musculoskeletal complaints. Whole body vibration exposure was measured using SVAN 106 tri-axial accelerometer and SVANPC+ software. A comprehensive questionnaire was devised and used for the subjective assessment of musculoskeletal complaints. The data were analyzed using analysis of variance and Chi-Square test to check the variability and association of whole body vibration exposure and musculoskeletal disorders for all the models of auto rickshaws. Results: There is a significant dependency of the magnitude of whole body vibration exposure on the road conditions and a number of passengers. Also, there is a significant influence (‘p’ value < 0.05) of whole body vibration exposure due to driving experience and age of auto rickshaw drivers on musculoskeletal complaints, low back pain is found more
LARGE SCALE PERSON RE-IDENTIFICATION USING PART BASED DEEP HASHING

It is important to perform real time search while Large scale Person re-identification on a large gallery. The conventional methods use to focus on discriminative learning which is probabilistic approach of learning. In this proposed project we attempt to use deep learning while integrating it with hashing which provides a framework to evaluate productivity, precision and reliability of Large scale Person re-identification. We use augmentation for creating artificial training images through different ways of processing or combination of multiple processing such as random rotation, shifts, shear and flips etc. We propose Part based deep Hashing (PDH) in which augmented images are the input of deep learning architecture. All the augmented images have different identity. We are using whole image and use it for training deep hashing architecture. We use a ternion loss function which calculates the hamming distance of the pedestrian image. The hamming distance of the images with same identity is smaller than the one with different identity. In this project we use standard large scale dataset specifically Market-1501 & Market-1501 +500K.
Aggregate wage developments in Austria since the introduction of the euro

Real gross wages per worker have experienced a very subdued development since the introduction of the single currency in Austria. Average hourly wages, on the other hand, have evolved more dynamically. Between 1999 and the Great Recession, the wage share decreased continuously, and wage growth was less than suggested by the “Benya rule. ” However, having increased significantly in the aftermath of the crisis, the wage share has been fairly constant in recent years. In 2017, the wage share was only slightly lower compared to that in 1999. The institutional specifics of Austrian wage setting are unique for a developed country (neo-corporatist system, almost complete union coverage and highly coordinated wage setting). Despite declining union density, the system has remained virtually unchanged since the early 1980s. Arguably, joining Economic and Monetary Union (EMU) did not lead to pressures to change the wage bargaining process as Austria had already been part of the “hard currency bloc” in Europe before the introduction of the euro. Phillips curve estimations suggest that nominal wage growth in the past twenty years has been mainly determined by labor productivity and past inflation but has reacted only weakly to the cyclical stance of the economy. In addition, we analyze the effects that structural changes in the labor market and the internationalization of the Austrian economy have had on wage developments. We find evidence that the increased openness of the Austrian economy and changes in participation rates have had a dampening effect on wage growth. In contrast, we find no significant effects for changes in the share of part-time and fixed-term contracts, and in the share of foreign workers. The overall cumulative effect of EMU on wage growth in Austria is estimated to be positive.
Chiral rotational spectroscopy

We introduce chiral rotational spectroscopy, a technique that enables the determination of the orientated optical activity pseudotensor components ${B}_{XX}, {B}_{YY}$, and ${B}_{ZZ}$ of chiral molecules, in a manner that reveals the enantiomeric constitution of a sample and provides an incisive signal even for a racemate. Chiral rotational spectroscopy could find particular use in the analysis of molecules that are chiral solely by virtue of their isotopic constitution and molecules with multiple chiral centers. A basic design for a chiral rotational spectrometer together with a model of its functionality is given. Our proposed technique offers the more familiar polarizability components ${\ensuremath{\alpha}}_{XX}, {\ensuremath{\alpha}}_{YY}$, and ${\ensuremath{\alpha}}_{ZZ}$ as by-products, which could see it find use even for achiral molecules.
Implications of Representation-Presentation Distinction in Developing a Presentation Environment for CAAD

Computer mediated environments are increasingly used for design communication to bridge the gap between geographically and temporally separated stakeholders. We look at the design process, its communication through computer mediated environments, and stress the need to recognize the subtle distinction between representation and presentation in this process. Building on representation-presentation distinction, the case for a multimodal design presentation environment is made and the challenges involved in developing such an environment are discussed. We conclude by demonstrating a prototype of such a presentation environment.
Lipid profile in smoking employees of University of Azad Jammu and Kashmir

The study was conducted to determine the Lipid profile in smoking employees of University of Azad Jammu and Kashmir. The blood samples were collected using strip method to check the level of cholesterol and triglycerides. The blood pressure was also measured using standard Sphygmomanometer and stethoscope. Total Fifty employees divided into five groups by age (24-29, 30-35, 36-41, 42-47 and 48-53 years). A personal interview was conducted according to questionnaire which included different questions such as name, age, number of cigarettes smoked /day, price of cigarette/pack and daily diet. The mean cholesterol level in five groups was 122.9, 116.1, 162.8, 145.6 and 151.5 mg/dl, respectively, while the mean triglyceride level was 187.1, 292.7, 218.5, 167 and 202.3 mg/dl, respectively. The mean systolic and diastolic blood pressure in five groups was 122.3 and 82.6 mmHg, 127.9 and 90.3 mmHg, 131.2 and 87.3 mmHg, 110.5 and 81.8 mmHg and 127 and 87.4 mmHg, respectively. The average smoked cigarette/day was 15.5, 17.7, 15.7, 19.4 and 16.5 respectively in five groups. The results of the study would help in combating the risk of cardiovascular diseases and hypertension.
orphological and molecular variation in selected species of rysimum ( Brassicaceae ) from Central Europe and their taxonomic ignificance

Carpological and molecular variation among the 14 species of Erysimum distributed in Central Europe was examined. Special attention was paid to the group of six wallflowers (E. hungaricum, E. pieninicum, E. wahlenbergii, E. virgatum, E. durum and E. hieracifolium) that are morphologically difficult to distinguish forming a complex taxonomic group. It was found that the sculpturing of seed testa and the micromorphological patterns regarding the surface of silique septum obviously vary among the studied wallflowers, while seed dimensions and shapes overlap and are not adequately informative. The highest carpological dissimilarity was noted between E. cheiri and E. crepidifolium, whereas the taxa in the mentioned taxonomic complex were carpologically very similar, only E. virgatum was slightly different. The molec-
Towards a Food Pharmacy: Immunologic Modulation through Diet

Patients frequently wonder whether their dietary pattern influences the course of inflammatory bowel disease (IBD). Many patients even avoid certain foods that aggravate their symptoms. Although interest in nutritional interventions is rising among physicians, the current application of nutritional interventions in the IBD population is limited due to the lack of scientific evidence from clinical trials. Several studies, however, have identified associations between diet, gut microbiota, intestinal epithelial integrity, and mucosal immune responses. In patients consuming predominantly a Western diet high in n-6 poly-unsaturated fatty acids (PUFAs), sugars, and meat, and low in fruits and vegetables, an impaired gut epithelial barrier and disturbances in the intestinal microbiota have been observed, resulting in a chronic mucosal inflammation. An anti-inflammatory diet may restore this disbalance. In this review, we discuss the effects of diet on the composition of the microbiota, the gut epithelial barrier function, and the mucosal immune system.
Gastrulating Rat Embryo in a Serum-free Culture Model: Changes of Development Caused by Teratogen 5-Azacytidine

Developmental processes in gastrulating rat embryos were investigated by using an original, serum-free, chemically defined model system. 9.5-day-old rat embryos, without extraembryonic membranes, were cultivated at the air–liquid interface in a serum-free medium, with and without a protein supplement, for 2 weeks. A teratogenic, demethylating agent, 5-azacytidine, was added to serum-free and protein-free culture medium and to serum-free medium supplemented with human transferrin. A single dose of 5-azacytidine impaired the survival, growth and differentiation of embryos in protein-free medium and serum-free medium with transferrin. In contrast, repeated exposure to 5-azacytidine was required to impair growth in serum-supplemented medium. It was concluded that the activity of 5-azacytidine was easier to detect in a simple, chemically defined medium than in a serum-supplemented medium. This serum-free in vitro method could be useful in screening for teratogenic or embryotoxic substances during gastrulation, the most critical stage of mammalian development.
SVM BASED AUTOMATIC MEDICAL DECISION SUPPORT SYSTEM FOR MEDICAL IMAGE 1

An approach for automatic classification of Magnetic Resonance Image (MRI) is presented in this paper. In modern hospitals a vast amount of MR images are produced in the day to day life. So, an input image based automatic medical image retrieval system is now a necessity. In this paper, extracted features are classified using Support Vector Machine (SVM) with Radial Basis Function (RBF). The performance of SVM for varying parameters is investigated. Proposed system showed high classification accuracies (on an average > 99%) for all the datasets used in the experiments. Experimental results and performance comparisons with state-of-the-art techniques show that the proposed scheme is efficient in brain MR image classification.
Data Embedding into Image Encryption using the Symmetric Key for RDH in Cloud Storage

The healthcare organizations utilize the outsourcing amenities have been facing critical challenges for scrutinize the significant data. These data are needed to processed and effectively analyzed by better performance. Traditional processing scheme has no longer able to process the huge data. They were not at all having a security system for medical images. In order to achieve the scalability, data security issues to combine the image compression using symmetric key homomorphic encryption in cloud computing. The existing techniques are available to provide data security with the help of steganography and contrast enhancement. This technique has some drawback of image quality due to various noises. The proposed technique is used to protect the data by inserting images into the data an efficient Reversible Data Hiding (RDH). This is securing the private image and documents in the cloud storage. The Experimental result shows the good image quality and improved cloud storage capacity. The image quality having acceptable PSNR values is 72 dB and over. This paper has an enhancement of data security with the healthcare data, confidential data in the cloud environment.
THE JOURNAL OF COMPUTER SCIENCE AND ITS APPLICATIONS Vol . 24 , No . 2 , December , 2017 SECURITY AND ETHICAL ISSUES TO CLOUD DATABASE

Privacy and Security of data in cloud database is a vital issue as it enables the storage, management and sharing of complex data in a secure platform. Cloud database, a technology that clings onto Cloud Computing paradigm, has privacy and security challenges such as lack of awareness and hegemony of place of data stored, transaction log of data, malicious act, amongst others. Also, ethical issue in the cloud surrounds trust issues from tenants, as the tenants find it difficult outsourcing critical information to a cloud service provider without the interference of a third party. This and many more issues were considered in this paper. This paper, therefore, discussed security, privacy and ethical concerns associated with cloud database by reviewing variety of literatures that discussed about these issues. Furthermore, the paper proposed a conceptual framework for mitigating the security and privacy issues inherent in the cloud database as a way of improving the services of the cloud service providers when deployed.
Negative Results on Mining Crypto-API Usage Rules in Android Apps

Android app developers recurrently use crypto-APIs to provide data security to app users. Unfortunately, misuse of APIs only creates an illusion of security and even exposes apps to systematic attacks. It is thus necessary to provide developers with a statically-enforceable list of specifications of crypto-API usage rules. On the one hand, such rules cannot be manually written as the process does not scale to all available APIs. On the other hand, a classical mining approach based on common usage patterns is not relevant in Android, given that a large share of usages include mistakes. In this work, building on the assumption that "developers update API usage instances to fix misuses", we propose to mine a large dataset of updates within about 40 000 real-world app lineages to infer API usage rules. Eventually, our investigations yield negative results on our assumption that API usage updates tend to correct misuses. Actually, it appears that updates that fix misuses may be unintentional: the same misuses patterns are quickly re-introduced by subsequent updates.
Employment is the Major Route out of Poverty : How Donors Can Help

Productive and decent work 1 is the main route out of poverty for most poor people. By making better employment outcomes an MDG target for eradicating extreme poverty, the international community has highlighted the importance of promoting employment, which is also a core objective for several international organisations including the International Labour Organisation (ILO), World Trade Organisation (WTO) and Organisation for Economic Co-operation and Development (OECD). Employment performance is therefore central to the success of poverty reduction strategies and to efforts to enhance development, but it has to be productive and decent paid employment if individuals, the economy and society are to benefit fully. Both the pace and pattern of economic growth matter as well. A rapid pace of growth and increasing labour productivity are needed to generate large numbers of new and decent jobs in developing countries while a broad-based pattern of growth is needed to maximise the participation of and benefits to poor people.
The treatment of spondyloarthropathies

Psoriatic arthritis belongs to the family of spondyloarthropaties which also includes undifferentiated ankylosing spondylitis, ankylosing spondylitis, juvenile arthritis, arthritis associated with ulcerative colitis or entheroarthrtis, reactive arthritis and anterior uveitis. The presentation will be focused on the classification of spondyloarthropaties as well as the treatment of these diseases. With regard to this, recommendations issued by EULAR (European League Against Rheumatism) and SIR (Italian Society of Rheumatology) on the treatment of Psoriatic Arthritis will also be discussed. Moreover, the results from an Italian multicenter study will be presented for the first time; more than 3000 patients were enrolled in this study and were followed over the last 5 years. Patients had different forms of arthritis. Moreover, the preliminary results from a study conducted at the University Hospital in Siena will be briefly presented; 241 patients with spondyloarthritis – mostly psoriatic – and ankylosing spondylitis were enrolled in this study. Then, attention will be brought to the issue of the treatment of initial forms of spondyloarthopathies and the results from some studies on anti-TNF-alpha drugs will be presented. Finally, the issue of anti-TNF-alpha drug immunogenicity and the consequences that the production of anti-drug antibodies may have on the efficacy and safety of the drugs will be discussed.
PREDICTION OF FOREIGN EXCHANGE RATE USING REGRESSION TECHNIQUES

This paper explores and compares regression technique with ensemble regression techniques in view of two ensemble learning: Bagging and Boosting for two Foreign Exchange (FX) data namely INR/USD and INR/EUR. The comparative results show that regression ensemble with Least Square Boost performs better than others with MAPE =0.6338 for one day ahead prediction at the testing stage. It has also been observed that MAPE value increases with increasing value of N in case of N-Days ahead prediction of FX rate.