Miracle-dz/UniFAR-FTUs huggingface dataset:
Automating anomaly detection for exploratory data analytics

This paper discusses a design to automate the process of exploratory data analysis with an emphasis on outlier and anomaly detection. The paper discusses the domain of exploratory data analysis, the complexity involved in automating it and a solution leveraging the latest advances in computing to meet this. The solution details a framework that can accept data, understand the structure and type of variables, extract important variables and detect outliers or anomalies for understanding process bottlenecks. It takes advantage of big-data technologies and distributed computing (Hadoop and Spark) to make feasible the task of carrying out multiple lines of analysis and using intermediate results to drive analysis towards the desired goal. Statistical methods and visual data analytics form the core of the framework helping to automate exploratory data analysis, reducing time and focusing on the most valuable areas of concern in the data.
The Military Suicide Research Consortium Common Data Elements: An Examination of Measurement Invariance Across Current Service Members and Veterans

Suicide rates within the U.S. military are elevated, necessitating greater efforts to identify those at increased risk. This study utilized a multigroup confirmatory factor analysis to examine measurement invariance of the Military Suicide Research Consortium Common Data Elements (CDEs) across current service members (n = 2,015), younger veterans (<35 years; n = 377), and older veterans (≥35 years; n = 1,001). Strong factorial invariance was supported with adequate model fit observed for current service members, younger veterans, and older veterans. The structures of all models were generally comparable with few exceptions. The Military Suicide Research Consortium CDEs demonstrate at least adequate model fit for current military service members and veterans, regardless of age. Thus, the CDEs can be validly used across military and veteran populations. Given similar latent structures, research findings in one group may inform clinical and policy decision making for the other.
Downregulation of miR-637 promotes proliferation and metastasis by targeting Smad3 in keloids

Keloids are a type of abnormal scar tissue. MicroRNAs (miRNAs) exhibit a pivotal role in the regulation of cell proliferation and metastasis of keloids. miRNA microarray revealed that miR-637 was one of the most frequently altered miRNAs in keloids. Furthermore, upregulation of miR-637 inhibited cell proliferation and metastasis by targeting mothers against decapentaplegic homolog (Smad)3, one of the important proteins that affects the formation of keloids. Further studies demonstrated that miR-637 regulated the proliferation and metastasis of human keloid fibroblast (HKF) cells by mediating the Smad3 signaling pathway. Overall, the present findings suggest that miR-637 may be a promising therapeutic target in keloids.
Mediating Effects of Frailty Indicators on the Risk of Sepsis After Cancer

Background: Cancer survivors are at increased risk of sepsis, possibly attributed to weakened physiologic conditions. The aims of this study were to examine the mediation effect of indicators of frailty on the association between cancer survivorship and sepsis incidence and whether these differences varied by race. Methods: We performed a prospective analysis using data from the REasons for Geographic and Racial Differences in Stroke cohort from years 2003 to 2012. We categorized frailty as the presence of ≥2 frailty components (weakness, exhaustion, and low physical activity). We categorized participants as “cancer survivors” or “no cancer history” derived from self-reported responses of being diagnosed with any cancer. We examined the mediation effect of frailty on the association between cancer survivorship and sepsis incidence using Cox regression. We repeated analysis stratified by race. Results: Among 28 062 eligible participants, 2773 (9.88%) were cancer survivors and 25 289 (90.03%) were no cancer history participants. Among a total 1315 sepsis cases, cancer survivors were more likely to develop sepsis (12.66% vs 3.81%, P < .01) when compared to participants with no cancer history (hazard ratios: 2.62, 95% confidence interval: 2.31-2.98, P < .01). The mediation effects of frailty on the log-hazard scale were very small: weakness (0.57%), exhaustion (0.31%), low physical activity (0.20%), frailty (0.75%), and total number of frailty indicators (0.69%). Similar results were observed when stratified by race. Conclusion: Cancer survivors had more than a 2-fold increased risk of sepsis, and indicators of frailty contributed to less than 1% of this disparity.
Influence of Recycled Aggregates on Mechanical Properties of High Performance Concrete

Student Paper Abstract The use of reclaimed concrete as aggregate for new concrete and its influence on the mechanical properties has been investigated. The replacement of both fine and coarse aggregate was tested. Three different mixes were prepared, the first mix, or control mix, was prepared with natural aggregate, two additional mixes were prepared with different percentage of substitution of coarse aggregates. Weight evolution of the concrete as a function of age was measured on 2”x2”x2” concrete cubes subjected to different relative humidity conditions. Compressive strength was evaluated on concrete cylinders (4” x 8”) at different ages: 3, 7, 14, 21 and 28 days. Porosity of different mixes with the same water to cement ratio is compared. The same procedure of testing was used with reclaimed concrete from existing structures (demolition products) and with concrete from laboratory testing. An analysis comparing physical and mechanical properties of the three mixes is presented.
Object tracking based hybrid context and image patching models

Object tracking is essential step of many computer vision applications. It deals with locating objects across the frames in videos. There are several useful applications in day-to-day life such as: human-computer interaction, security and surveillance, video, augmented reality, traffic management, aviation control medical imaging etc. There are various challenges when it comes to dealing with object tracking, such as image illumination, motion object, occlusion, scaling etc. In this paper a study of a hybrid model for object tracking is performed. The hybrid model is based two existing algorithms: saliency prior context based model and patching based model. The algorithm generates the similarity based map for the image, then tracks the object in form of patches, whose combined effect is used as a vote map. Then using image signature and spatio-temporal computation a confidence map is generated to predict the next position. Numerous experiment results show that hybrid algorithm achieves significant improvement our saliency prior context based tracker.
Reliability and main findings of the flexible endoscopic evaluation of swallowing‐Tensilon test in patients with myasthenia gravis and dysphagia

Diagnosis of pharyngeal dysphagia caused by myasthenia gravis (MG) based on clinical examination alone is often challenging. Flexible endoscopic evaluation of swallowing (FEES) combined with Tensilon (edrophonium) application, referred to as the FEES‐Tensilon test, was developed to improve diagnostic accuracy and to detect the main symptoms of pharyngeal dysphagia in MG. Here we investigated inter‐ and intra‐rater reliability of the FEES‐Tensilon test and analyzed the main endoscopic findings.
A Qualitative Research on The Changing Perceptions of Luxury Consumption in The Construction of Self

This work studies how the luxury experiences and perceptions of consumers are. The purpose of the study is to evaluate the modern luxury consumption experiences from a wider perspective rather than focusing on the traditional luxury consumption as a signifier of social status. The study adopts an interpretative and exploratory approach to explain in detail the contribution of the luxury consumption of consumers to the construction of self. Among the qualitative research methods, the method of keeping a diary, which sincerely transmits the processes, relations and perceptions in the daily world of the consumers was applied to the study [1]. The consumer diaries enable a ground to understand the complex structure of luxury experiences as a loop of luxury which is an indispensable part of the daily life of consumers. To achieve maximum diversity 16 participants from different age, occupation and education fields are selected. The consumer diaries are analyzed by using the inductive categorization process [2] and constant comparative method [3]. The research results are classified the luxury experiences under three categories indispensably related with processes and conditions of the self. The findings of the work are related with the present theories on self yet they pose a transition from vanity consumption, to which the perception of luxury bases, to temporary and abstract concept of consumption.
Src Cooperates with Oncogenic Ras in Tumourigenesis via the JNK and PI3K Pathways in Drosophila epithelial Tissue

The Ras oncogene (Rat Sarcoma oncogene, a small GTPase) is a key driver of human cancer, however alone it is insufficient to produce malignancy, due to the induction of cell cycle arrest or senescence. In a Drosophila melanogaster genetic screen for genes that cooperate with oncogenic Ras (bearing the RasV12 mutation, or RasACT), we identified the Drosophila Src (Sarcoma virus oncogene) family non-receptor tyrosine protein kinase genes, Src42A and Src64B, as promoting increased hyperplasia in a whole epithelial tissue context in the Drosophila eye. Moreover, overexpression of Src cooperated with RasACT in epithelial cell clones to drive neoplastic tumourigenesis. We found that Src overexpression alone activated the Jun N-terminal Kinase (JNK) signalling pathway to promote actin cytoskeletal and cell polarity defects and drive apoptosis, whereas, in cooperation with RasACT, JNK led to a loss of differentiation and an invasive phenotype. Src + RasACT cooperative tumourigenesis was dependent on JNK as well as Phosphoinositide 3-Kinase (PI3K) signalling, suggesting that targeting these pathways might provide novel therapeutic opportunities in cancers dependent on Src and Ras signalling.
New Lower Bounds for Binary Constant-Dimension Subspace Codes

ABSTRACT Let denote the maximum cardinality of a set of k-dimensional subspaces of an n-dimensional vector space over the finite field of order q, , such that any two different subspaces have a distance of at least d. Lower bounds on can be obtained by explicitly constructing corresponding sets . When searching for such sets with a prescribed group of automorphisms, the search problem leads to instances of the maximum weight clique problem. The main focus is here on subgroups with small index in the normalizer of a Singer subgroup of . With a stochastic maximum weight clique algorithm and a systematic consideration of groups of the above mentioned type, new lower bounds on and for 8 ⩽ n ⩽ 11 are obtained.
Degradation of methylene blue dye by CuO-BiVO4 photocatalysts under visible light irradiation

Bismuth vanadate (BiVO4) and a series of Cu-loaded BiVO4 (CuO-BiVO4) photocatalysts were prepared via precipitation and wet impregnation methods respectively. The samples were characterized by X-ray diffractometry (XRD), transmission electron microscopy (TEM) and the band gap energy was elucidated via UV-visible diffuse reflectance spectroscopy (DRS). Spherically-shaped particles of the photocatalysts were obtained which contained mixtures of monoclinic and tetragonal BiVO4 phases. The particle sizes of the photocatalysts ranged from 20 to 100 nm and band gap energies varied from 2.47 to 2.53 eV. The photodegradation efficiency of the photocatalysts was evaluated by degrading methylene blue (MB) dye under visible-light irradiation. The optimum conditions for the photocatalytic degradation were determined based on wt% Cu loaded, mass loading, initial dye concentration and pH. 1 wt% CuO-BiVO4 exhibited the highest photocatalytic activity where the complete removal of 10 mgL-1 of MB was obtained at pH 10 when 0.8 g of the catalyst was used under 4 hours of 18W fluorescent light irradiation.
How bank risk profiles affect their strength : an assessment of banks in the Asia-Pacific region

This paper analyses bank relative riskiness by testing the sensitivity of AsiaPacific banks to overall market risk, global credit risk shocks, interest rate risk shocks and maturity risk shocks. The banks’ risk profiles are categorised according to their capitalisation levels and functional degree of diversification. Our results indicate that highly capitalised banks yield higher average stock returns whilst functionally diversified banks have less volatile returns. Generally, banks that adopt capital adequacy guidelines and hold higher capital levels have greater protection from these risks. Functionally diversified banks are also more strongly positioned against system-wide shocks to the banking sector. JEL classification: F34, G12, G21
Congestion Prediction of Urban Traffic Employing SRBDP

Traffic congestion in the urban area has become a serious social problem. In order to alleviate congestion and reduce economic costs, it is important to predict the current and future traffic flows of road network nodes. Unfortunately, there are some challenges that make this work difficult. Firstly, the traffic flow is changeable and difficult to predict. Secondly, there are massive traffic data, but the quality of data is not high. For instance, when the traffic lights are just turning green, the speed of the vehicle can't represent the speed of the road vehicle. To this end, this paper proposes a traffic congestion prediction and detection algorithm based on data analysis. One of the most important parts of our algorithm is a short-term prediction method to predict the future traffic flow, which is called SRBDP. Moreover, we designed data characteristics and use clustering methods and a small amount of human intervention to determine the historical data congestion situation. Finally, we demonstrate the effectiveness of our algorithm through a real traffic data set.
New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations

Beyond word embeddings, continuous representations of knowledge graph (KG) components, such as entities, types and relations, are widely used for entity mention disambiguation, relation inference and deep question answering. Great strides have been made in modeling general, asymmetric or antisymmetric KG relations using Gaussian, holographic, and complex embeddings. None of these directly enforce transitivity inherent in the is-instance-of and is-subtype-of relations. A recent proposal, called order embedding (OE), demands that the vector representing a subtype elementwise dominates the vector representing a supertype. However, the manner in which such constraints are asserted and evaluated have some limitations. In this short research note, we make three contributions specific to representing and inferring transitive relations. First, we propose and justify a significant improvement to the OE loss objective. Second, we propose a new representation of types as hyper-rectangular regions, that generalize and improve on OE. Third, we show that some current protocols to evaluate transitive relation inference can be misleading, and offer a sound alternative. Rather than use black-box deep learning modules off-the-shelf, we develop our training networks using elementary geometric considerations.
Additional contributions to the knowledge of the Taquaral Member, Irati Formation (Lower Permian, Paraná Basin): Taphonomy and paleoenvironmental implications

The silty shale facies of the Taquaral Member (Irati Formation), which is one of the Permian units in the Brazilian Parana Basin, is discussed here based on the taphonomy relevant to the paleoenvironmental interpretation. The fossils are crustaceans (Clarkecaris and other indeterminate forms), isolated teeth, scales and bones of Actinopterygii, "Palaeonisciformes ", which are the most common vertebrate remains, and also frequent scales of Coelacanthiformes. The scales, teeth and disarticulated bones are found together in accumulations, which may be interpreted as coprolites. Many of the fossil crustaceans display characteristics of ecdysis.
Bluff Forwarding: A Practical Protocol for Delivering Refreshed Symmetric Keys on a Multi-Path Big Data Ingestion System

In this paper, we present a clean-slate design of a novel and practical protocol for transporting refreshed symmetric keys for multi-path big data ingestion systems. Our objective is to securely and reliably deliver the refreshed keys from data sources to the data collection servers even in the presence of malicious attackers. To satisfy this objective, we first adapt the secret sharing algorithm. We split symmetric keys into multiple secrets in such a way that partial retrieval of the secrets does not warrant the reconstruction of the original key. Then, we hide the updated secret keys by shuffling them into a group of randomly generated fake keys. These keys are encapsulated in a message container called a bluff. We develop a protocol that makes it computationally infeasible for the attackers to distinguish between bluffs and normal data. We implement and test this protocol on Apache Flume, which is a widely used, state-of-the-art data ingestion system. We analyze the security aspects of our protocol and observe the effects of various configuration settings on the data ingestion performance.
Cognitive-Behavioral Psychotherapy , a Group Psycho-Educational Workshop and a Workshop for Caregivers of Sexually-Abused Children : a Case Study of Two Mexican Male Children

It has been reported that a large percentage of men and women had experiences of sexual abuse during childhood the effects of which are determined by factors such as age, gender, characteristics of the experience, and cultural aspects, among others. In Mexico, only a limited number of sexual abuse cases are reported to the relevant authorities and even fewer receive adequate care and treatment. This article presents an evaluation of the effectiveness of an individualized cognitive-behavioral treatment involving a group psychoeducational workshop and a workshop for caregivers of two Mexican male children who had experienced sexual abuse. Clinical and cognitive evaluations, preand post-test treatment, and follow-up one-and-a-half years later were made. Differences between the two participants were found in all three evaluation periods. Various factors associated with these results are discussed.
Nonlocal Tensor Completion for Multitemporal Remotely Sensed Images’ Inpainting

Remotely sensed images may contain some missing areas because of poor weather conditions and sensor failure. Information of those areas may play an important role in the interpretation of multitemporal remotely sensed data. This paper aims at reconstructing the missing information by a nonlocal low-rank tensor completion method. First, nonlocal correlations in the spatial domain are taken into account by searching and grouping similar image patches in a large search window. Then, low rankness of the identified fourth-order tensor groups is promoted to consider their correlations in spatial, spectral, and temporal domains, while reconstructing the underlying patterns. Experimental results on simulated and real data demonstrate that the proposed method is effective both qualitatively and quantitatively. In addition, the proposed method is computationally efficient compared with other patch-based methods such as the recently proposed patch matching-based multitemporal group sparse representation method.
State-of-the-art face recognition performance using publicly available software and datasets

We are interested in the reproducibility of face recognition systems. By reproducibility we mean: is the scientific community, and are the researchers from different sides, capable of reproducing the last published results by a big company, that has at its disposal huge computational power and huge proprietary databases? With the constant advancements in GPU computation power and availability of open-source software, the reproducibility of published results should not be a problem. But, if architectures of the systems are private and databases are proprietary, the reproducibility of published results can not be easily attained. To tackle this problem, we focus on training and evaluation of face recognition systems on publicly available data and software. We are also interested in comparing the best Deep Neural Net (DNN) based results with a baseline “classical” system. This paper exploits the OpenFace open-source system to generate a deep convolutional neural network model using publicly available datasets. We study the impact of the size of the datasets, their quality and compare the performance to a classical face recognition approach. Our focus is to have a fully reproducible model. To this end, we used publicly available datasets (FRGC, MS-celeb-lM, MOBIO, LFW), as well publicly available software (OpenFace) to train our model in order to do face recognition. Our best trained model achieves 97.52% accuracy on the Labelled in the Wild dataset (LFW) dataset which is lower than Google's best reported results of 99.96% but slightly better than FaceBook's reported result of 97.35%. We also evaluated our best model on the challenging video dataset MOBIO and report competitive results with the best reported results on this database.
A targeted 3D EM and correlative microscopy method using SEM array tomography

ABSTRACT Using electron microscopy to localize rare cellular events or structures in complex tissue is challenging. Correlative light and electron microscopy procedures have been developed to link fluorescent protein expression with ultrastructural resolution. Here, we present an optimized scanning electron microscopy (SEM) workflow for volumetric array tomography for asymmetric samples and model organisms (Caenorhabditis elegans, Drosophila melanogaster, Danio rerio). We modified a diamond knife to simplify serial section array acquisition with minimal artifacts. After array acquisition, the arrays were transferred to a glass coverslip or silicon wafer support. Using light microscopy, the arrays were screened rapidly for initial recognition of global anatomical features (organs or body traits). Then, using SEM, an in-depth study of the cells and/or organs of interest was performed. Our manual and automatic data acquisition strategies make 3D data acquisition and correlation simpler and more precise than alternative methods. This method can be used to address questions in cell and developmental biology that require the efficient identification of a labeled cell or organelle. Summary: A new array tomography workflow for model organisms optimizing EM preparation and fluorescence signal preservation, facilitating 3D data acquisition and the correlation of fluorescence and EM data.