Miracle-dz/UniFAR-FTUs huggingface dataset:
1 Apart from its basic function the plasma membrane Ca 2 + ATPase regulates Ca 2 + signaling by controlling phosphatidylinositol-4 , 5-bisphosphate levels

Institute of Molecular Pharmacology, Research Centre for Natural Sciences, Hungarian Academy of Sciences, Budapest, Hungary Hungarian National Blood Transfusion Service, Budapest, Hungary 3 Molecular Biophysics Research Group of the Hungarian Academy of Sciences and Department of Biophysics, Semmelweis University, Budapest, Hungary Department of Neurosurgery, Massachusetts General Hospital, Boston, Massachusetts 02114 These authors contributed equally to this work.
Clustering of solutions in the symmetric binary perceptron

The geometrical features of the (non-convex) loss landscape of neural network models are crucial in ensuring successful optimization and, most importantly, the capability to generalize well. While minimizers’ flatness consistently correlates with good generalization, there has been little rigorous work in exploring the condition of existence of such minimizers, even in toy models. Here we consider a simple neural network model, the symmetric perceptron, with binary weights. Phrasing the learning problem as a constraint satisfaction problem, the analogous of a flat minimizer becomes a large and dense cluster of solutions, while the narrowest minimizers are isolated solutions. We perform the first steps toward the rigorous proof of the existence of a dense cluster in certain regimes of the parameters, by computing the first and second moment upper bounds for the existence of pairs of arbitrarily close solutions. Moreover, we present a non rigorous derivation of the same bounds for sets of y solutions at fixed pairwise distances.
(No) Wigner Theorem for C*-algebras

Wigner's Theorem states that bijections of the set P_1(H) of one-dimensional projections on a Hilbert space H that preserve transition probabilities are induced by either a unitary or an anti-unitary operator on H (which is uniquely determined up to a phase). Since elements of P_1(H) define pure states on the C*-algebra B(H) of all bounded operators on H (though typically not producing all of them), this suggests possible generalizations to arbitrary C*-algebras. This paper is a detailed study of this problem, based on earlier results by R.V. Kadison (1965), F.W. Shultz (1982), K. Thomsen (1982), and others. Perhaps surprisingly, the sharpest known version of Wigner's Theorem for C*-algebras (which is a variation on a result from Shultz, with considerably simplified proof) generalizes the equivalence between the hypotheses in the original theorem and those in an analogous result on (anti) unitary implementability of Jordan automorphisms of B(H), and does not yield (anti) unitary implementability itself, far from it: abstract existence results that do give such implementability seem arbitrary and practically useless. As such, it would be fair to say that there is no Wigner Theorem for C*-algebras.
Strong cosmic censorship for a scalar field in a logarithmic-de Sitter black hole

It has been shown that the quasinormal modes of perturebated fields can be used to investigate the validity of strong cosmic censorship (SCC). Relevant issues for Reissner–Nordstrom–de Sitter (RN-dS) black holes and Born–Infeld–de Sitter black holes have been discussed. In this paper, we investigate SCC in an asymptotic RN-dS black hole with logarithmic nonlinear electromagnetic field perturbed by massless scalar fields. It has been argued that SCC can be violated in a near-extremal RN-dS black hole. However, we find that the NLED effect can rescue SCC for a near-extremal logarithmic-de Sitter black hole. Compared with Born-Infeld model, we find that the NLED effect has similar behavior.
Enteric Pathogen Profile and Knowledge, Attitude and Behavior about Food Hygiene among Food Handlers in a Tertiary Health Care Center

1Deparment of Nursing, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, INDIA. 2Department of Microbiology, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Thiruvananthapuram, Kerala, INDIA. 3Deparment of Microbiology, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, INDIA. 4Department of Preventive and Social Medicine, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, INDIA.
A Machine Learning Approach for RDP-based Lateral Movement Detection

Detecting cyber threats has been an on-going research endeavor. In this era, advanced persistent threats (APTs) can incur significant cost for organizations and businesses. The ultimate goal of cyber security is to thwart attackers from achieving their malicious intent, whether it is credential stealing, infrastructure takeover, or program sabotage. Every cyber attack goes through several stages before its termination. Lateral movement (LM) is one of those stages which is of particular importance. Remote Desktop Protocol (RDP) is a method used in LM to successfully authenticate to an unauthorized host that leaves footprints on both host and network logs. In this paper, we propose to detect evidence of LM with an anomaly detection approach that leverages Windows RDP event logs. We evaluate various supervised machine learning (ML) techniques for classifying RDP sessions with high precision and recall. We also compare the performance of our proposed approach to a state-of-the-art approach and demonstrate that our ML model outperforms in classifying RDP sessions in Windows event logs.
Gated Variational AutoEncoders: Incorporating Weak Supervision to Encourage Disentanglement

Variational AutoEncoders (VAEs) provide a means to generate representational latent embeddings. Previous research has highlighted the benefits of achieving representations that are disentangled, particularly for downstream tasks. However, there is some debate about how to encourage disentanglement with VAEs, and evidence indicates that existing implementations do not achieve disentanglement consistently. The evaluation of how well a VAE’s latent space has been disentangled is often evaluated against our subjective expectations of which attributes should be disentangled for a given problem. Therefore, by definition, we already have domain knowledge of what should be achieved and yet we use unsupervised approaches to achieve it. We propose a weakly-supervised approach that incorporates any available domain knowledge into the training process to form a Gated-VAE. The process involves partitioning the representational embedding and gating backpropagation. All partitions are utilised on the forward pass but gradients are backpropagated through different partitions according to selected image/target pairings. The approach can be used to modify existing VAE models such as beta-VAE, InfoVAE and DIP-VAE-II. Experiments demonstrate that using gated backpropagation, latent factors are represented in their intended partition. The approach is applied to images of faces for the purpose of disentangling head-pose from facial expression. Quantitative metrics show that using Gated-VAE improves average disentanglement, completeness and informativeness, as compared with un-gated implementations. Qualitative assessment of latent traversals demonstrate its disentanglement of head-pose from expression, even when only weak/noisy supervision is available.
Dietary patterns and food behaviours of pregnant youth : a survey in the Polokwane Local Municipality of Limpopo Province, South Africa

CITATION: Bopape, M. M. , Alberts, M. & Mbhenyane, X. G. 2018. Dietary patterns and food behaviours of pregnant youth : a survey in the Polokwane Local Municipality of Limpopo Province, South Africa. Journal of Nutrition and Health, 4(1):1-6.
Artificial Bee Colony-Optimized LSTM for Bitcoin Price Prediction

In recent years, deep learning has been widely used for time series prediction. Deep learning model that is most often used for time series prediction is LSTM. LSTM is widely used because of its excellence in remembering very long sequences. However, doing training on models that use LSTM requires a long time. Trying from one model to another model that use LSTM will take a very long time, thus a method is needed for optimizing hyperparameter to get a model with a small RMSE. This research proposed Artificial Bee Colony (ABC) as a method in optimizing hyperparameter for models that use LSTM. ABC is a metaheuristic method that mimics the behavior of bee colonies in foraging. Optimized hyperparameter in this research consisted of sliding window size, number of LSTM units, dropout rate, regularizer, regularizer rate, optimizer and learning rate. In this research the proposed method called as ABC-LSTM. Bitcoin prices historical data was used as the dataset for evaluating the prediction of the models. The best ABC-LSTM model resulted best RMSE of 189.61 compared to model that use LSTM without optimization resulted best RMSE of 236.17. This result showed that ABC-LSTM model outperformed models that use LSTM without optimization.
DNA Replication and Sister Chromatid Cohesion 1 (DSCC1) of the Replication Factor Complex CTF18-RFC is Critical for Colon Cancer Cell Growth

DNA replication and sister chromatid cohesion 1 (DSCC1) combines with chromosome transmission-fidelity protein 18 (CTF18) to form a CTF18-DSCC1-CTF8 (CTF18-1-8) module, which in combination with CTF18-replication factor C (RFC) acts as a proliferating cell nuclear antigen (PCNA) loader during DNA replication-associated processes. It was found that DSCC1 was overexpressed in tumor tissues from patients with colon cancer and that the survival probability of patients with colon cancer was lower when the expression of cytosolic DSCC1 was higher in tumor regions (P=0.047). By using DSCC1- or CTF18-knockdown cell lines (HCT116-shDSCC1 or HCT116-shCTF18, respectively), it was confirmed that DSCC1-knockdown inhibits cell proliferation and invasion, but that CTF18-knockdown does not. Tumors in mice xenografted with shDSCC1 cells were significantly smaller compared with those in mice in the mock group or those xenografted with shCTF18 cells. The shDSCC1 cells were highly sensitive to γ-irradiation and other DNA replication inhibitory treatments, resulting in low cell viability. The present results suggested that DSCC1 is the most important component in the CTF18-1-8 module for CTF18-RFC and is highly relevant to the growth and metastasis of colon cancer cells, and, therefore, it may be a potential therapeutic target for colon cancer treatment.
Statistics of first-passage Brownian functionals

We study the distribution of first-passage functionals of the type where represents a Brownian motion (with or without drift) with diffusion constant D, starting at x 0 > 0, and t f is the first-passage time to the origin. In the driftless case, we compute exactly, for all n > −2, the probability density . We show that has an essential singular tail as and a power-law tail as . The leading essential singular behavior for small A can be obtained using the optimal fluctuation method (OFM), which also predicts the optimal paths of the conditioned process in this limit. For the case with a drift toward the origin, where no exact solution is known for general n > −1, we show that the OFM successfully predicts the tails of the distribution. For it predicts the same essential singular tail as in the driftless case. For it predicts a stretched exponential tail for all n > 0. In the limit of large Péclet number , where is the drift velocity toward the origin, the OFM predicts an exact large-deviation scaling behavior, valid for all A: , where is the mean value of in this limit. We compute the rate function analytically for all n > −1. We show that, while for n > 0 the rate function is analytic for all z, it has a non-analytic behavior at z = 1 for −1 < n < 0 which can be interpreted as a dynamical phase transition. The order of this transition is 2 for −1/2 < n < 0, while for −1 < n < −1/2 the order of transition is ; it changes continuously with n. We also provide an illuminating alternative derivation of the OFM result by using a WKB-type asymptotic perturbation theory for large . Finally, we employ the OFM to study the case of (drift away from the origin). We show that, when the process is conditioned on reaching the origin, the distribution of coincides with the distribution of for with the same .
Testing linear-invariant properties

Fix a prime $p$ and a positive integer $R$. We study the property testing of functions $\mathbb{F}_{p}^{n}\rightarrow[R]$. We say that a property is testable if there exists an oblivious tester for this property with one-sided error and constant query complexity. Furthermore, a property is proximity oblivious-testable (PO-testable) if the test is also independent of the proximity parameter $\epsilon$. It is known that a number of natural properties such as linearity and being a low degree polynomial are PO-testable. These properties are examples of linear-invariant properties, meaning that they are preserved under linear automorphisms of the domain. Following work of Kaufman and Sudan, the study of linear-invariant properties has been an important problem in arithmetic property testing. A central conjecture in this field, proposed by Bhattacharyya, Grigorescu, and Shapira, is that a linear-invariant property is testable if and only if it is semi subspace-hereditary. We prove two results, the first resolves this conjecture and the second classifies PO-testable properties. 1)A linear-invariant property is testable if and only if it is semi subspace-hereditary. 2)A linear-invariant property is PO-testable if and only if it is locally characterized. Our innovations are two-fold. We give a more powerful version of the compactness argument first introduced by Alon and Shapira. This relies on a new strong arithmetic regularity lemma in which one mixes different levels of Gowers uniformity. This allows us to extend the work of Bhattacharyya, Fischer, Hatami, Hatami, and Lovett by removing the bounded complexity restriction in their work. Our second innovation is a novel recoloring technique called patching. This Ramsey-theoretic technique is critical for working in the linear-invariant setting and allows us to remove the translation-invariant restriction present in previous work.
Master ' s Research ( 50 % weighting )

This study aims to investigate the presence of the low market risk (beta) anomaly in the Johannesburg Stock Market (JSE). Finance theory suggests that with higher return comes higher risk. However, several studies have reported evidence of low risk anomaly in global markets where portfolios containing low beta shares delivers superior risk adjusted returns compared to market index and high beta shares' portfolio. This study will explore various risk return relationships on the JSE and test a variety of potential explanations of the anomalous behaviour of the low beta premium. Three explanations have been identified as potential factors that contribute to the persistence of the Low Beta Anomaly. These include; Net International Equity flows (NIEF), Idiosyncratic Risk and Market Concentration. The results are consistent with international literature indicating a persistent Low Beta Anomaly on the JSE. However, the results also indicate that in periods of turmoil, high beta shares outperform low beta shares i.e. during the Global Financial Crisis. Although some significant relationships are found between the low minus high beta differential and NIEF. NIEF is unable to suitably explain the anomaly. Idiosyncratic risk results are mixed depending on the model used to calculate the idiosyncratic risk estimates. Despite being a significant issue on the JSE, Market concentration does not explain the Low Beta Anomaly. As the superior performance of the low beta portfolios remains once the portfolios returns have been adjusted for the different variables however magnitude ofthe outperformance ofthe low beta portfolio was to a lesser degree.
Psychotropic drug regimes in compulsive water drinkers

Abstract Objective: To assess the importance of psychotropic medications in Compulsive Water Drinking (CWD) among psychiatric inpatients. Method: The psychotropic medication regimes of 21 CWD inpatients (16 of whom had a diagnosis of schizophrenia) and 21 age and sex matched control inpatients were compared. The CWD group was selected on the basis of urine specific gravity testing amongst the non-geriatric rehabilitation population of a Canadian psychiatric hospital. Regular and prn medications were compared by type and dose. Results: Both groups had generally similar regular medication regimes. No significant differences were found for any of the more commonly prescribed medications. There was a nonsignificant tendency for more CWD subjects to be given prn psychotropics, likely a consequence rather than a cause of the polydipsia. Conclusion: No significant differences were found between the two groups. However, because of the large number of medications used and the relatively small number of subjects, the study has relatively low power. A larger study, combining the CWD inpatients of several hospitals, would be required to definitely rule out a role for psychotropics in the aetiology of CWD.
Saudi family-medicine residents' readiness to manage intimate partner violence: a needs assessment study

Background: Intimate partner violence (IPV) against women has recently gained recognition as a global health priority. Yet, little action has been taken to improve identification of IPV in primary- care settings in Saudi Arabia (SA), indicating a need to train front-line physicians to recognize and treat abused victims. Objective: To assess the knowledge, attitudes, and perceptions of IPV among a sample of Saudi family medicine (SFM) residents and use this data to develop and integrate an IPV curriculum into the SFM residency curriculum. Methods: The Physician Readiness to Manage Intimate Partner Violence Survey (PREMIS) was modified for cultural sensitivity and uploaded to a web-based survey management provider. Results: Thirty residents participated in the survey yielding a response rate of 52%. None reported postgraduate training in IPV. Respondents scored low in perceived perpetration (2.59/7) and perceived knowledge to man- age IPV (average score of 2.26/7). The mean actual knowledge score for residents was 18.1/38 (SD = 6.7). Conclusion: Residents did not perceive themselves as either knowledgeable or well-prepared to discuss IPV with patients. These results signify a lack of education and exposure to IPV education in SA and indicate the need to train physicians on how to appropriately respond to abused victims. Key words: Intimate partner violence, women, domestic violence, family medicine, residency training, needs assessment
Accurate Prediction of Nanovoid Structures and Energetics in Bcc Metals

Knowledge on structures and energetics of nanovoids is fundamental to understand defect evolution in metals. Yet there remain no reliable methods able to determine essential structural details or to provide accurate assessment of energetics for general nanovoids. In this study, systematic first-principles investigations have been performed to examine stable structures and energetics of nanovoids in bcc metals. A linear relationship between the formation energy and Wigner-Seitz area of nanovoid has been revealed, and it was explicitly demonstrated that stable structures of nanovoids can be precisely determined by minimizing their Wigner-Seitz areas. A new physics-based predictive model has been developed to accurately predict stable structures and energetics for arbitrary-sized nanovoids. This physical model has been well validated by first-principles calculations and recent nanovoid annealing experiments, and shows distinct advantages over the widely used spherical approximation. The present work offers mechanistic insights that crucial for understanding nanovoid formation and evolution, being a critical step towards predictive control and prevention of nanovoid related damage processes in structural metals.
Determinants of Export Service in Selected West African Countries

This study empirically tries to investigate the determinants of export service in selected West African countries (Ghana, Benin, Cote d'Ivoire, Gambia, Mali, Niger, Sierra Leone, Togo, Nigeria and Burkina Faso). The study adopted the export demand function introduced by Bahmani-Oskooee (1986) with little additions and modifications of variables based on the reviewed literature. It was discovered from the empirical results that the value added by the services has no impact on service export. However, variables such as foreign direct investment, communication facilities, real exchange rate, and foreign income level possesses a significant robust impact on export trade in services in the selected countries. These countries should therefore widen their opportunities to strive in exporting services worldwide. This can be materialized by exploiting their potentials with relative competitiveness and reasonable negotiations in the global export markets.
An assessment of factors influencing science teachers’ use of practical lessons in public secondary schools of Kabwe District - Zambia

The main aim of the study was to examine factors that influence science teachers’ use of practical lessons in public secondary schools. The study considered a total of five factors; science laboratory, science teacher attitude, training, workload and laboratory assistant. Primary data was collected from 80 secondary science teachers using self-administered questionnaire with a 5 point Likert scale. Statistical package for the social sciences (SPSS) program 16.0 was used to analyse data. Data analysis involved the use of descriptive statistics, factor analysis and regression. The results showed that out of the five factors examined only science laboratory and laboratory assistant were significantly correlated with practical lessons with P-value < 0.01. The other three factors, science teacher attitude, teacher training and workload were not significant. A regression model was applied to determine the magnitude of influence of each of two significant factors. The results revealed that laboratory assistant has a greater influence on practical lesson than science laboratory with standardized coefficients of 0.368 and 0.209 respectively. The implication of these results is that public secondary schools in conjunction with government will do well to consider giving priority to construction and rehabilitation of science laboratories as well employing more qualified laboratory assistants in order to enhance teaching of science practical lessons