Miracle-dz/UniFAR-FTUs huggingface dataset:
Weight-Related Teasing, Coping Strategies and Self-Esteem in Obese University Students

The current study aimed to examine the relationship between weight-based teasing, coping strategies and self-esteem among obese university students. A total of 60 obese university students (Males=30, Females=30) of the age group 17 to 26 years (M= 21.52, SD= 2.24) were chosen from different universities of Lahore. The measures used in the current study were Body Mass Index (Center for Disease Control and Prevention [CDC], 2013), Perception of Teasing Scale (Thompson, Cattarin, Fowler & Fisher, 1995), Coping Orientation to Problem Experienced Questionnaire (Carver, Scheier & Weintraub, 1989) and Rosenberg Self Esteem Scale (Rosenberg, 1965). The findings revealed no significant gender differences in the use of problem focused and emotion focused coping styles. The results also revealed that 70% of the overweight/obese students were living a sedentary life style while 30% of the participants were engaged in taking a properly balanced diet along with exercise. 60% of the students were overweight due to the excessive eating, no physical activity or excessive sleeping. The results also showed that there was a significant positive relationship between perception of teasing and self-esteem and perception of teasing was a strong predictor of self-esteem among obese university students.
Trade and Stabilization: Another Look at British India’s Controversial Foodgrain Exports*

In keeping with its avowed policy of promoting free trade, the government of India resisted demands for bans on the export of foodgrains during the numerous severe famines of the late 19th and early 20th centuries. This paper assesses the relevance to India of the arguments made for free trade as a food consumption stabilization policy. An estimate is made of the quantitative effect of external trade in buffering domestic foodgrain consumption from output uncertainty. The results suggest that, while trade did have a stabilizing influence, the effect was small, particularly in the short run. Alternative explanations for this are examined.
COMPARATIVE OSTEOLOGY AND EVOLUTIONARY RELATIONSHIPS IN THE AFRICAN RANINAE (ANURA RANIDAE)

SUMMARY Boulenger'S 1920 monograph on South Asian Rana provided a stimulus for utilizing osteological characters to interpret evolutionary relationships within the African Raninae. The existence, in the British Museum (Natural History) library, of Boulenger'S unpublished manuscripts on African and Eurasian Rana is noted. The skeletons of 62 specimens representing 33 of the 75 species of African ranine frogs were examined to determine the validity of their current generic assignment, and to attempt to infer a phylogeny for the group. Information on larger samples, rare and type specimens was obtained by x-raying 152 specimens representing a further 31 species. Detailed examination of the skeletons revealed 22 characters varying between supraspecific groups. These characters are analysed chiefly by applying the «commonality principle of character state distribution» of Schaeffer et al. (1972), and also by using outgroup comparison, where available, to determine the primitive state; the direction of change w.
Towards Inclusive External Communication of Autonomous Vehicles for Pedestrians with Vision Impairments

People with vision impairments (VIP) are among the most vulnerable road users in traffic. Autonomous vehicles are believed to reduce accidents but still demand some form of external communication signaling relevant information to pedestrians. Recent research on the design of vehicle-pedestrian communication (VPC) focuses strongly on concepts for a non-disabled population. Our work presents an inclusive user-centered design for VPC, beneficial for both vision impaired and seeing pedestrians. We conducted a workshop with VIP (N=6), discussing current issues in road traffic and comparing communication concepts proposed by literature. A thematic analysis unveiled two important themes: number of communicating vehicles and content (affecting duration). Subsequently, we investigated these in a second user study in virtual reality (N=33, 8 VIP) comparing the VPC between groups of abilities. We found that trust and understanding is enhanced and cognitive load reduced when all relevant vehicles communicate; high content messages also reduce cognitive load.
The role of Sin1 in cell survival

Cancer and neurodegeneration are detrimental conditions associated with an inappropriate regulation of cell survival and cell death, causing compromised cells to evade death or excessive death of healthy neurons. The mammalian target of rapamycin complex 2 (mTORC2) has been implicated in the regulation of cell survival by phosphorylating the protein kinase Akt. This is dependent upon the scaffold protein Sin1, a core component of mTORC2. The requirement of Sin1 in cell survival, and in particular in neuronal survival, has not been established due to the early embryonic lethality of mice with a targeted deletion of the Sin1 gene. To circumvent this issue, a novel conditional mouse knockout model was established. The role of Sin1 in regulating cell survival was evaluated in fibroblasts and cortical neurons. The loss of Sin1 significantly affected the phosphorylation and activity of Akt in fibroblasts and caused a reduction in cell survival by potentially inducing premature senescence. In contrast, the loss of Sin1 caused an increase in caspase-independent cell death in cortical neurons. Gene-expression analysis of Sin1 knockout cortical neurons demonstrated an important down-regulation of transcription factors, cytoskeletal proteins and components of signalling pathways involved in neuronal survival, aiding to uncover the mechanism by which Sin1 promotes neuronal survival. Taken together, the results presented in this study show a key role of the scaffold protein Sin1 in regulating neuronal survival.
Smads 2 and 3 are differentially activated by TGF-β in quiescent and activated hepatic stellate cells: Constitutive nuclear localization of Smads in activated cells is TGF-β independent

Abstract Hepatic stellate cells are the primary cell type responsible for matrix deposition in liver fibrosis, undergoing a process of transdifferentiation into fibrogenic myofibroblasts. These cells, which undergo a similar transdifferentiation process when cultured in vitro, are a major target of the profibrogenic agent transforming growth factor-β (TGF-β). We have studied activation of the TGF-β downstream signaling molecules Smads 2, 3, and 4 in hepatic stellate cells (HSC) cultured in vitro for 1, 4, and 7 days, with quiescent, intermediate, and fully transdifferentiated phenotypes, respectively. Total levels of Smad4, common to multiple TGF-β superfamily signaling pathways, do not change as HSC transdifferentiate, and the protein is found in both nucleus and cytoplasm, independent of treatment with TGF-β or the nuclear export inhibitor leptomycin B. TGF-β mediates activation of Smad2 primarily in early cultured cells and that of Smad3 primarily in transdifferentiated cells. The linker protein SARA, which is required for Smad2 signaling, disappears with transdifferentiation. Additionally, day 7 cells demonstrate constitutive phosphorylation and nuclear localization of Smad 2, which is not affected by pretreatment with TGF-β-neutralizing antibodies, a type I TGF-β receptor kinase inhibitor, or activin-neutralizing antibodies. These results demonstrate essential differences between TGF-β-mediated signaling pathways in quiescent and in vitro transdifferentiated hepatic stellate cells.
Assessment of Shelf-life of Curry Leave Extract Added Paneer Made from Cow Milk

Historically curry leave (Murraya koenigii L.) has been used for centuries worldwide in food not only to increase its flavor and taste but also for its antioxidant properties. The antioxidant effect which is facilitates the shelf life of the food product including dairy product. The present study was conducted to assess the different concentrations of curry leave extract on the shelf life of paneer for a storage period of 28 days at refrigeration temperature (7±1 ̊C). In this study, paneer was developed with five different concentration of curry leaves extract viz. 0.0% (control), 0.2%, 0.4%, 0.6% and 0.8%. The prepared samples of paneer were analyzed for chemical, physical and sensory evaluation at day 1, day 7, day 14, day 21 and day 28 storage at 7°±1 ̊C . At the day one, the chemical attributes, such as ash (1.66±0.02), dry matter (49.60±1.85), acidity (0.20±0.02) and antioxidant activity at 593 absorbance (0.292) showed higher value in paneer treated with 0.8% curry leaves extract added paneer. On the other hand, pH (5.88±0.01) and free fatty acid (0.21±0.02) were higher in paneer made without curry leaves extract. At the day 7 of storage period, paneer treated with 0.8% curry leaves extract showed higher mean value for dry matter (51.28±1.52), ash (1.73±0.01), pH (5.85±0.01) and antioxidant activity at 593nm (0.295). While paneer treated without curry leaves extract showed higher mean value for titratable acidity (0.27±0.01) and free fatty acid (0.23±0.00). At the day 28 of storage period, paneer treated with 0.8% curry leaves extract received higher mean value for ash (1.96±0.01), dry matter (54.69±0.30), pH (6.10±0.02). Similarly, paneer made without curry leaves extract received higher mean value for titratable acidity (0.44±0.00) and free fatty acid (0.45±0.21). Both mineral content and antioxidant activity were increasing during storage period and increased with increasing of concentration of curry leaves. Sensory attributes were changed among the all types of paneer and paneer made from 0.6% curry leaves extract showed the highest preference of sensory attributes at day14 and day 21 of storage
Experimental investigation of fire ecology in the C3 and C4 subspecies of Alloteropsis semialata

1. C4 grasses possess characteristics that potentially advantage growth in fire‐prone environments, including high photosynthetic productivity, efficient light and nutrient use and significant allocation to below‐ground reserves and reproduction. Such characteristics allow fast regeneration after fire, and may be the consequence of photosynthetic physiology, phylogenetic ancestry or may have been acquired as adaptations to frequently burnt environments.
Communication-Free Inter-Operator Interference Management in Shared Spectrum Small Cell Networks

Emergence of shared spectrum, such as the 3.5-GHz citizen broadband radio service (CBRS) band in the U.S., promises to broaden the mobile operator ecosystem and lead to proliferation of small cell deployments. We consider the inter-operator interference problem that arises when multiple small cell networks access the shared spectrum. Towards this end, we take a novel communication-free approach that seeks implicit coordination between operators without explicit communication. The key idea is for each operator to sense the spectrum through its mobiles to be able to model the channel vacancy distribution and extrapolate it for the next epoch. We use reproducing kernel Hilbert space kernel embedding of channel vacancy and predict it by vector-valued regression. This predicted value is then relied on by each operator to perform independent but optimal channel assignment to its base stations taking traffic load into account. Via numerical results, we show that our approach, aided by the above channel vacancy forecasting, adapts the spectrum allocation over time as per the traffic demands and more crucially, yields as good as or better performance than a coordination-based approach, even without accounting the overhead of the latter.
The Effect of Different Factors upon the in vitro Propagation in Quercus robur and Q. frainetto by Somatic Embryogenesis

The somatic embryogenesis is an advanced method for clonal propagation and a useful tool for ex situ conservation of genetic resources. In this paper, the results of an experiment to investigate the influence of development stage of explants and culture medium on the germination percentage in two oak species (three provenances of Quercus robur and two provenances of Q. frainetto), are presented. A high significant influence of the development stage of explants and a significant influence of the interaction provenance x stage on the germination percentage were recorded for Q. robur explants, whilst no significant differences between the germination percentages against the nutritive media used were fould for both oak species.
Prediction of Market Capitalization Trend through Selection of Best ARIMA Model with Reference to Indian Infrastructural Companies

The Term Market Capitalization represents the combined value of a company’s share. Market capitalization has been calculated by multiplying the present share market price to the numbers of outstanding share in the market. Companies use predicting technique to make tactical decisions about market capitalization, productions, sales, etc. The precedent data are used by companies to forecast, anticipating regarding to the future. Time series analysis can be used to predict the future. This study is an effort to examine the best ARIMA model for predicting market capitalization. Quarterly Market Capitalization data series of 21 Infrastructural Sector Companies listed in S&P BSE-200 Index have been used for this study. The finest ARIMA models have been selected on the basis of criteria namely SC, AIC, DW Statistic, RMSE, MAPE and Adjusted R-Square, etc. Best model has been considered on the basis of smallest values of criteria. ARIMA investigation is applied for 21companies secluded the firms into three categories i.e. companies on an upward trend, linear trend and downward trend. This study also focused on the financial statement of the companies to reveal the rationale for the trend of market capitalization during the study and forecasted period.
THE POSTHARVEST QUALITY, SENSORY AND SHELF LIFE OF AGARICUS BISPORUS IN ACTIVE MAP

The postharvest quality and shelf life of whole fresh mushroom (Agaricus bisporus) was monitored in active modified atmosphere packaging (MAP) (30 μm thickness, p-plus antimist polyethylene) with two different gas compositions (12% O2 + 2.5% CO2, 12% O2 + 5% CO2) at 5C with a relative humidity of 90% for 16 days. The control group including normal air (0.1% CO2 + 20.8% O2) was maintained under identical storage conditions. The present data indicated that the quality parameters, such as firmness, weight loss, opening cap percentage, browning index, L (lightness) color value, O2/CO2 level and microbial quality, were well retained with the treatment of active MAP 5% CO2, followed by 2.5% CO2 when compared with the control groups during storage. A good correlation could also be observed between the results of the brightness and rate of the browning. Total soluble solids value of mushroom significantly decreased; however, pH values slightly decreased in all treatment at the end of storage. The present findings indicate that active MAP storage including different headspace gas concentrations was found to be effective in maintaining the postharvest quality of white button mushroom for 16 days of storage. Practical Applications Agaricus bisporus is one of the most known mushroom species because of its taste as well as special nutritive properties, which is also very susceptible to decay as a consequence of bearing high content of water. Today, various postharvest strategies have been applied for extending the quality, sensory and nutritive properties of this species; however, some applications in different conditions have not been tested on all mushroom species so far. The present study aims to assess different concentrations of O2 and CO2 in active modified atmosphere packaging for the postharvest extension of whole A. bisporus.
Activity recognition from videos with parallel hypergraph matching on GPUs

In this paper, we propose a method for activity recognition from videos based on sparse local features and hypergraph matching. We benefit from special properties of the temporal domain in the data to derive a sequential and fast graph matching algorithm for GPUs. Traditionally, graphs and hypergraphs are frequently used to recognize complex and often non-rigid patterns in computer vision, either through graph matching or point-set matching with graphs. Most formulations resort to the minimization of a difficult discrete energy function mixing geometric or structural terms with data attached terms involving appearance features. Traditional methods solve this minimization problem approximately, for instance with spectral techniques. In this work, instead of solving the problem approximatively, the exact solution for the optimal assignment is calculated in parallel on GPUs. The graphical structure is simplified and regularized, which allows to derive an efficient recursive minimization algorithm. The algorithm distributes subproblems over the calculation units of a GPU, which solves them in parallel, allowing the system to run faster than real-time on medium-end GPUs.
Molecular aspects of myotonic dystrophy type 1, expression and silencing of DMPK gene products.

Myotonic dystrophy type 1 (DM1) is a neuromuscular disorder caused by an unstable (CTG^CAG)n segment in the 3' untranslated region of the DM protein kinase (DMPK) gene. It is commonly accepted that DMPK mRNA-based toxicity is the main contributor to DM1 manifestations, however not much is known about the significance of the DMPK protein. To appreciate its normal and possible pathobiological role, we analyzed the patterns of DMPK splice isoform expression in mouse tissues. Long membrane-anchored DMPK dominated in heart, diaphragm and skeletal muscle, whereas short cytosolic isoforms were highly expressed in bladder and stomach. Both isoform types were present in diverse brain regions. DMPK protein was also detectable in cultured myoblasts, myotubes, cortical astrocytes and related cell lines of neural or muscle origin, but not in hippocampal neurons. This work identifies DMPK as a kinase with pronounced expression in diverse muscle and neural tissues that are affected in DM1.
Lignin solubilisation and gentle fractionation in liquid ammonia

We present a simple method for solubilising lignin using liquid ammonia. Unlike water, which requires harsh conditions, ammonia can solubilise technical lignins, in particular kraft lignin. A commercial pine wood Kraft lignin (Indulin AT) was solubilized instantaneously at room temperature and 7–11 bars autogeneous pressure, while a commercial mixed wheat straw/Sarkanda grass soda lignin (Protobind™ 1000) was solubilized within 3 h at ambient temperature, and 30 min at. 85 °C. Hydroxide salts were not required. Wheat straw, poplar and spruce organosolv lignins, as well as elephant grass native lignin (MWL) were also solubilized, albeit at lower values. Different sequences of solubilisation and extraction were tested on the Protobind™ 1000 lignin. The remaining lignin residues were characterized by FTIR, size exclusion chromatography (SEC), elemental analysis (ICP), 2D-NMR and 31P NMR. Liquid ammonia is not an innocent solvent, as some nitrogen was incorporated in the residual lignin which then rearranged to higher molecular weight fractions. Nevertheless, the mild solubilisation conditions make liquid ammonia an attractive candidate as a solvent for lignin in future biorefinery processes.
Geometric Realizations of the 3D Associahedron (Multimedia Exposition)

The associahedron is a convex polytope whose 1-skeleton is isomorphic to the ﬂip graph of a convex polygon. There exists an elegant geometric realization of the associahedron, using the remarkable theory of secondary polytopes, based on the geometry of the underlying polygon. We present an interactive application that visualizes this correspondence in the 3D case. 2012 ACM Subject Classiﬁcation I.3. 5 Computational Geometry and Object Modeling – Geometric Algorithms, languages and systems, K.3. 1 Computer Uses in Education – Computer assisted instruction
Identifiability of Additive Noise Models Using Conditional Variances

This paper considers a new identifiability condition for additive noise models (ANMs) in which each variable is determined by an arbitrary Borel measurable function of its parents plus an independent error. It has been shown that ANMs are fully recoverable under some identifiability conditions, such as when all error variances are equal. However, this identifiable condition could be restrictive, and hence, this paper focuses on a relaxed identifiability condition that involves not only error variances, but also the influence of parents. This new class of identifiable ANMs does not put any constraints on the form of dependencies, or distributions of errors, and allows different error variances. It further provides a statistically consistent and computationally feasible structure learning algorithm for the identifiable ANMs based on the new identifiability condition. The proposed algorithm assumes that all relevant variables are observed, while it does not assume faithfulness or a sparse graph. Demonstrated through extensive simulated and real multivariate data is that the proposed algorithm successfully recovers directed acyclic graphs.
A Review On Recommendation Systems Using Deep Learning

: As the content on the Internet is increasing day-by-day, recommendation systems play a strong role in showing the best results according to users’ preferences and interests. These systems filter out content not only on the basis of users’ static interests but also consider users’ dynamic choices in predicting the next best content. They are considered as playlist generators for videos and music in Netflix, Youtube; provide hashtags recommendations and help people in connecting with each other with similar interests in social networks; help in e-commerce sites by displaying the next item to be purchased by customer based on ratings of items. Deep learning algorithms have been widely used in so many applications such as detection, classification, segmentation, prediction, recommendation. In this paper, 5 categories of recommendations are taken-entertainment (videos/music), user and item reviews, session-based, learning resources, social networks. A brief review of recent works of deep learning in recommendation systems and how it overcomes the cold-start item and sparsity problems of existing methods of recommendation such as content-based and collaborative filtering is presented in this paper.
European Values Study 2018 Austria (SUF edition)

Full edition for scientific use. The EVS 2018 Austria study is part of a EVS 2018 study that focuses on values in European countries. This is the 4th wave, adding to the 1990, 1999 and 2008 surveys carried out in Austria and other European countries. The dataset includes an additional sample of participants with migration background either from Former Yugoslavia or from Turkey.