Miracle-dz/UniFAR-FTUs huggingface dataset:
A Nonconvex Approach for Exact and Efficient Multichannel Sparse Blind Deconvolution

We study the multi-channel sparse blind deconvolution (MCS-BD) problem, whose task is to simultaneously recover a kernel $\mathbf a$ and multiple sparse inputs $\{\mathbf x_i\}_{i=1}^p$ from their circulant convolution $\mathbf y_i = \mb a \circledast \mb x_i $ ($i=1,\cdots,p$). We formulate the task as a nonconvex optimization problem over the sphere. Under mild statistical assumptions of the data, we prove that the vanilla Riemannian gradient descent (RGD) method, with random initializations, provably recovers both the kernel $\mathbf a$ and the signals $\{\mathbf x_i\}_{i=1}^p$ up to a signed shift ambiguity. In comparison with state-of-the-art results, our work shows significant improvements in terms of sample complexity and computational efficiency. Our theoretical results are corroborated by numerical experiments, which demonstrate superior performance of the proposed approach over the previous methods on both synthetic and real datasets.
SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce

E-commerce taxonomy plays an essential role in online retail business. Existing taxonomy of e-commerce platforms organizes items into an ontology structure. However, the ontology-driven approach is subject to costly manual maintenance and often does not capture user’s search intention, particularly when user searches by her personalized needs rather than a universal definition of the items. Observing that search queries can effectively express user’s intention, we present a novel large-Scale Hierarchical taxOnomy via grAph based query coaLition (SHOAL) to bridge the gap between item taxonomy and user search intention. SHOAL organizes hundreds of millions of items into a hierarchical topic structure. Each topic that consists of a cluster of items denotes a conceptual shopping scenario, and is tagged with easy-to-interpret descriptions extracted from search queries. Furthermore, SHOAL establishes correlation between categories of ontology-driven taxonomy, and offers opportunities for explainable recommendation. The feedback from domain experts shows that SHOAL achieves a precision of 98% in terms of placing items into the right topics, and the result of an online A/B test demonstrates that SHOAL boosts the Click Through Rate (CTR) by 5%. SHOAL has been deployed in Alibaba and supports millions of searches for online shopping per day. PVLDB Reference Format: Zhao Li, Xia Chen, Xuming Pan, Pengcheng Zou, Yuchen Li and Guoxian Yu. SHOAL: Large-scale Hierarchical Taxonomy via Graph-based Query Coalition in E-commerce. PVLDB, 12(12): 1858-1861, 2019. DOI: https://doi.org/10.14778/3352063.3352084
Path Planning for Robot based on Chaotic Artificial Potential Field Method

Robot path planning in unknown environments is one of the hot research topics in the field of robot control. Aiming at the shortcomings of traditional artificial potential field methods, we propose a new path planning for Robot based on chaotic artificial potential field method. The path planning adopts the potential function as the objective function and introduces the robot direction of movement as the control variables, which combines the improved artificial potential field method with chaotic optimization algorithm. Simulations have been carried out and the results demonstrate that the superior practicality and high efficiency of the proposed method.
A Note on the Axisymmetric Stationary Metric in the General Theory of Relativity

We consider the equations for the coefficients of stationary rotating axisymmetric metrics governed by the Einstein-Euler equations, that is, the Einstein equations together with the energy-momentum tensor of a barotropic perfect fluid. Although the derived equations are not already known except for the case of the constant angular velocity described in the corotating coordinate system, the main content of this article is not to derive the equations, but to prove the equivalence of the derived equations with the full set of the Einstein equations, and to prove the consistency of the derived equations. These affairs have not yet been discussed except for the vacuum case, and are far from being self-evident, requiring tedious careful calculations and some tricks. The proof is done under the assumption that the angular velocity is constant on a neighborhood of the support of the density. The conclusions seem to be doubtful if this assumption does not hold.
A Beehive Monitoring System Incorporating Optical Flow as a Source of Information

The goal of this thesis is to design, implement, and evaluate a Beehive Monitoring System. Such a system acquires data about the beehive and its surrounding. It does that by reading out sensors for measuring temperature, weight, weather, and movement. Unlike other systems that have been developed in the past, it incorporates the concept of optical flow to gather information about the movement of the bees within the hive. This new source of information can prove to be helpful for scientists in their research about bees. »IF THE BEE DISAPPEARED OFF THE SURFACE OF THE GLOBE THEN MAN WOULD ONLY HAVE FOUR YEARS OF LIFE LEFT. «1 Although often attributed to Albert Einstein even by serious media, there is no source proving him to be the author of this quote.
Neuroimaging biomarkers of psychogenic erectile dysfunction: protocol for a systematic review

Introduction Erectile dysfunction (ED) is the most common male sexual disorder that severely impacts the sexual performance and quality of life of men. As the main subtype of ED, psychogenic ED (pED) has been demonstrated to be a genitourinary disease and also associated with alterations in both brain structure and function. However, the scattered neuroimaging evidence from individual studies has not yet been integrated, and the central pathological alterations associated with pED remain unclear. The objective of this systematic review is to integrate and assess the evidence of the impact of pED on brain structure and function. Methods and analysis Five databases (PubMed, EMBASE, Web of Science, China Biology Medicine Database and China National Knowledge Infrastructure (CNKI)) will be systematically searched from inception to 1 October 2019 (the anticipated completion date of this review), with language restricted to English and Chinese. Studies focusing on the structural or functional alterations in patients with pED will be retrieved. The study selection process will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline and quality assessment will be conducted with a customised checklist. After data extraction, a qualitative review will be performed to synthesise the structural and functional brain alterations as well as the correlations between the altered cerebral structures and functions and the clinical characteristics of patients with pED. If the collected data make it feasible, an activation likelihood estimation meta-analysis will also be launched. Ethics and dissemination Ethical approval is not required as primary data will not be collected. This review will be published in a peer-reviewed journal and presented at conferences. PROSPERO registration number CRD42019117206.
Colonization of developing tissues by EMP-derived macrophage precursors

Corresponding author. geissmaf@mskcc.org. 7present address: Macrophages and Endothelial Cells group, Department of Developmental and Stem Cell Biology, CNRS UMR 3738, Institut Pasteur, Paris, France #MB, CB and FG are co-senior authors of this study Additionally, a genome browser track hub, as well as additional supplementary data are available at the following URL: http:// macrophage-development.computational-epigenetics.org/. Author contribution. FG, EM designed the study and wrote the manuscript. EM, IB performed cell sorting, flow cytometry, fatemapping, immunostaining experiments and RNA-seq analysis on Id3-deficicient and control Kupffer cells. LC and CEJG helped with analysis of Tnfrsf11aCre+; Rosa26LSL-YFP mice. EGP assisted with the design of cell sorting experiments. MF designed and prepared bulk RNA-seq libraries. FH, JK, CB performed primary and differential analysis of the bulk RNA-seq data. KH and MB generated single-cell RNA-seq libraries and performed single-cell RNA-seq, PG, MB and JLS analyzed single cell RNA-seq data. All authors contributed to the manuscript. Supplementary Materials Figs. S1 to S13 Captions for Tables S1 to S6 HHS Public Access Author manuscript Science. Author manuscript; available in PMC 2016 October 17. Published in final edited form as: Science. 2016 September 9; 353(6304): . doi:10.1126/science.aaf4238. A uhor M anscript
Image Harmonization Datasets: HCOCO, HAdobe5k, HFlickr, and Hday2night

Image composition is an important operation in image processing, but the inconsistency between foreground and background significantly degrades the quality of composite image. Image harmonization, which aims to make the foreground compatible with the background, is a promising yet challenging task. However, the lack of high-quality public dataset for image harmonization, which significantly hinders the development of image harmonization techniques. Therefore, we create synthesized composite images based on existing COCO (resp., Adobe5k, day2night) dataset, leading to our HCOCO (resp., HAdobe5k, Hday2night) sub-dataset. To enrich the diversity of our datasets, we also generate synthesized composite images based on our collected Flick images, leading to our HFlickr sub-dataset. All four sub-datasets are released in this https URL.
Distributed Reinforcement Learning Algorithm for Energy Harvesting Sensor Networks

In this paper, a distributed reinforcement-learning (RL) algorithm is proposed for power control and data scheduling in energy-harvesting (EH) multi-hop wireless-sensor-networks (WSNs). The WSN consists of M EH sensor nodes aiming to transmit their data to a sink node with minimum delay. Each sensor node has a battery of limited capacity to save the harvested energy and a buffer of limited size to store both the sensed and relayed data from neighboring nodes. A state-action-reward-state-action (SARSA) based distributed algorithm is proposed. The proposed distributed-SARSA (D-SARSA) algorithm adaptively changes the transmitted data and power control at each sensor node according to the state information such that the data of all sensor nodes are received at the sink node with minimum delay. Simulation results demonstrate the merits of the proposed algorithm.
FAST CLASSIFICATION OF WHOLE SLIDE HISTOPATHOLOGY IMAGES FOR BREAST CANCER DETECTION

In this paper we present a framework for whole slide histopathology image analysis using modern computer vision and machine learning methods. Our approach is based on a deep learning architecture and our aim is to show that a viable and robust solution can be achieved even with limited computational resources. We use two convolutional neural networks, applied in a cascade, followed by local maxima extraction and SVM classification of local maxima regions. The resulting system's accuracy is comparable to the best results achieved in Camelyon17 challenge, while maintaining low computational cost.
Preoperative Risk Assessment for Loss of Independence Following Hepatic Resection in Elderly Patients

Objective: To establish a preoperative risk assessment method for loss of independence after hepatic resection. Summary Background Data: Hepatic resection often results in loss of independence in preoperatively self-sufficient elderly people. Elderly patients should therefore be carefully selected for surgery. Methods: In this prospective, multicenter study, 347 independently-living patients aged ≥65 years, scheduled for hepatic resection, were divided into study (n = 232) and validation (n = 115) cohorts. We investigated the risk factors for postoperative loss of independence in the study cohort and verified our findings with the validation cohort. Loss of independence was defined as transfer to a rehabilitation facility, discharge to residence with home-based healthcare, 30-day readmission for poor functionality, and 90-day mortality (except for cancer-related deaths). Results: In the study cohort, univariate and multivariate analyses indicated that frailty, age ≥ 76 years, and open surgery were independent risk factors for postoperative loss of independence. Proportions of patients with postoperative loss of independence in the study and validation cohorts were respectively 3.0% and 0% among those with no applicable risk factors, 8.1% and 12.5% among those with 1 applicable risk factor, 25.5% and 25.0% among those with 2 applicable risk factors, and 56.3% and 50.0% among those with all 3 factors applicable (P < 0.001 for both cohorts). Areas under the receiver operating characteristic curves for the study and validation groups were 0.777 and 0.783, respectively. Conclusions: Preoperative risk assessments using these 3 factors may be effective in predicting and planning for postoperative loss of independence after hepatic resection in elderly patients.
General conservation law for a class of physics field theories

In this paper we form a general conservation law that unifies a class of physics field theories. For this we first introduce the notion of a general field as a formal sum differential forms on a Minkowski manifold. Thereafter, we employ the action principle to define the conservation law for such general fields. By construction, particular field notions of physics, such as electric field strength, stress, strain etc. become instances of the general field. Hence, the differential equations that constitute physics field theories become also instances of the general conservation law. Accordingly, the general field and the general conservation law together correspond to a large class of physics field models. The approach creates solid foundations for multi-physics analysis and is critical in developing software systems for scientific computing; the unifying structure shared by the class of field models makes it possible to implement software systems which are not restricted to finite lists of admissible problems.
Conceptualization of a good end-of-life experience with dementia in Japan: a qualitative study

ABSTRACT Objectives: To conceptualize a “good end of life” for people with dementia from the perspectives of bereaved family caregivers in Japan. Design and participants: A qualitative study using in-depth, semi-structured interviews focused on the family caregivers’ perceptions of their loved one’s experiences. Family caregivers who had lost their relatives with dementia more than six months previously were recruited using maximum variation sampling by cultural subpopulation. A thematic analysis was conducted. Results: From 30 interviews held, four main themes emerged. A good end of life for people with dementia means experiencing a “Peaceful Death” while “Maintaining Personhood” at a “Preferred Place” allowing for feelings of “Life Satisfaction. ” A “Preferred Place” emerged as a basic requirement to achieving a good end of life according to the three other themes, in particular, “Maintaining Personhood. ” However, the interviewees experienced difficulties in ensuring that their loved ones stayed at a “Preferred Place. ” Conclusions: Despite different cultural backgrounds, perceptions of a good end of life with dementia were remarkably similar between Japan and Western countries. However, recent societal changes in family structures and long-term care access in Japan may explain the theme of a comfortable place taking a central position. We suggest that these themes be considered and translated into care goals. They could supplement established end-of-life care goals for quality of life in dementia, which aim to maximize functioning and increase comfort. TRIAL REGISTRATION NUMBER Ethics Committee of the Graduate School and Faculty of Medicine, Kyoto University (R0808-2)
Kawasaki disease: characteristics, diagnosis, and unusual presentations

ABSTRACT Introduction: Kawasaki disease (KD) is one of the commonest pediatric vasculitides and is associated with a significant risk of development of coronary artery abnormalities if left untreated. Areas covered: In this review, we have highlighted the incomplete and unusual presentations of KD and also emphasize the controversies pertaining to 2D echocardiography in KD. A PubMed search was performed regarding diagnosis and unusual presentations of KD. Expert opinion: Diagnosis of KD is essentially clinical and based on recognition of typical clinical features that may appear sequentially and all signs and symptoms may not be present at one point of time. There is no confirmatory laboratory test for diagnosis of this condition. Further complicating the picture is the fact that incomplete and atypical forms KD may be seen in up to 50% patients. Although 2D echocardiography continues to be the preferred imaging modality for cardiac assessment in patients with KD, it has its limitations.
Cloud Computing: Multi-Level Security Using AES and RC4

Cloud Computing is a platform for expanding capabilities and developing potentialities dynamically without employing new infrastructure, personnel, or software system. Information Technology infrastructure continues to grow with growing technology. The use of mobile devices and computer has increased due to the innovation of the Internet. Every Internet user is accessing cloud services either directly or indirectly without aware of security aspects Cloud computing is not just a service of computing or how the computing service is delivered. Security is the most challenges aspects in the internet and network application . Internet and network application are growing very fast, so the importance and the value of the exchanged data over the internet or other media types are increasing. Hence the search for the best solution to offer the necessary protection against the data intruders attacks along with providing these services in time is one of the most interesting subjects in the security related communities . Cryptography is one of the main category of computer security that converts information from its normal form into unreadable form. In this paper we discussed the AES and RC4 algorithm that we will apply in securing cloud. Keywords— Cloud Computing, Threats, Security in cloud, Cryptography, AES, RC4.
Tumor Transcriptome Reveals High Expression of IL-8 in Non-Small Cell Lung Cancer Patients with Low Pectoralis Muscle Area and Reduced Survival

Cachexia is a syndrome characterized by an ongoing loss of skeletal muscle mass associated with poor patient prognosis in non-small cell lung cancer (NSCLC). However, prognostic cachexia biomarkers in NSCLC are unknown. Here, we analyzed computed tomography (CT) images and tumor transcriptome data to identify potentially secreted cachexia biomarkers (PSCB) in NSCLC patients with low-muscularity. We integrated radiomics features (pectoralis muscle, sternum, and tenth thoracic (T10) vertebra) from CT of 89 NSCLC patients, which allowed us to identify an index for screening muscularity. Next, a tumor transcriptomic-based secretome analysis from these patients (discovery set) was evaluated to identify potential cachexia biomarkers in patients with low-muscularity. The prognostic value of these biomarkers for predicting recurrence and survival outcome was confirmed using expression data from eight lung cancer datasets (validation set). Finally, C2C12 myoblasts differentiated into myotubes were used to evaluate the ability of the selected biomarker, interleukin (IL)-8, in inducing muscle cell atrophy. We identified 75 over-expressed transcripts in patients with low-muscularity, which included IL-6, CSF3, and IL-8. Also, we identified NCAM1, CNTN1, SCG2, CADM1, IL-8, NPTX1, and APOD as PSCB in the tumor secretome. These PSCB were capable of distinguishing worse and better prognosis (recurrence and survival) in NSCLC patients. IL-8 was confirmed as a predictor of worse prognosis in all validation sets. In vitro assays revealed that IL-8 promoted C2C12 myotube atrophy. Tumors from low-muscularity patients presented a set of upregulated genes encoding for secreted proteins, including pro-inflammatory cytokines that predict worse overall survival in NSCLC. Among these upregulated genes, IL-8 expression in NSCLC tissues was associated with worse prognosis, and the recombinant IL-8 was capable of triggering atrophy in C2C12 myotubes.
T-Cell Receptor Cognate Target Prediction Based on Paired α and β Chain Sequence and Structural CDR Loop Similarities

T-cell receptors (TCR) mediate immune responses recognizing peptides in complex with major histocompatibility complexes (pMHC) displayed on the surface of cells. Resolving the challenge of predicting the cognate pMHC target of a TCR would benefit many applications in the field of immunology, including vaccine design/discovery and the development of immunotherapies. Here, we developed a model for prediction of TCR targets based on similarity to a database of TCRs with known targets. Benchmarking the model on a large set of TCRs with known target, we demonstrated how the predictive performance is increased (i) by focusing on CDRs rather than the full length TCR protein sequences, (ii) by incorporating information from paired α and β chains, and (iii) integrating information for all 6 CDR loops rather than just CDR3. Finally, we show how integration of the structure of CDR loops, as obtained through homology modeling, boosts the predictive power of the model, in particular in situations where no high-similarity TCRs are available for the query. These findings demonstrate that TCRs that bind to the same target also share, to a very high degree, sequence, and structural features. This observation has profound impact for future development of prediction models for TCR-pMHC interactions and for the use of such models for the rational design of T cell based therapies.
Subjective wellbeing as a determinant of glycated hemoglobin in older adults: longitudinal findings from the English Longitudinal Study of Ageing

Abstract Background Previous research has shown an association between subjective wellbeing and incident diabetes. Less is known about the role of wellbeing for subclinical disease trajectories as captured via glycated hemoglobin (HbA1c). We aimed to explore the association between subjective wellbeing and future HbA1c levels, and the role of sociodemographic, behavioral and clinical factors in this association. Methods We used data from the English Longitudinal Study of Ageing for this study (N = 2161). Subjective wellbeing (CASP-19) was measured at wave 2 and HbA1c was measured 8 years later at wave 6. Participants were free from diabetes at baseline. We conducted a series of analyses to examine the extent to which the association was accounted for by a range of sociodemographic, behavioral and clinical factors in linear regression models. Results Models showed that subjective wellbeing (CASP-19 total score) was inversely associated with HbA1c 8 years later after controlling for depressive symptoms, age, sex, and baseline HbA1c (B = −0.035, 95% CI −0.060 to –0.011, p = 0.005). Inclusion of sociodemographic variables and behavioral factors in models accounted for a large proportion (17.0% and 24.5%, respectively) of the relationship between wellbeing and later HbA1c; clinical risk factors explained a smaller proportion of the relationship (3.4%). Conclusions Poorer subjective wellbeing is associated with greater HbA1c over 8 years of follow-up and this relationship can in part be explained by sociodemographic, behavioral and clinical factors among older adults.