Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancement towards efficient bug triage with software data reducing methods

Bug Triage is most important task of fixing bugs in computer code development organizations. It's methodology of allocating an accurate developer for fixing a bug. Sometimes in computer code implementing new bugs square measure manually triaged consummate developer. Thanks to the big range of bugs & also lack of experience of all bugs, the manual bug sorting is affluent in time price and low in acceptance. To say no the costly price in manual bug sorting, an automatic bug sorting approach is employed. For bug sorting information reduction techniques is employed to construct a tiny low scale and high superiority bug information by removing bug reports and words that square measure redundant or not-useful. Thus we have tendency to square measure exploitation instance choice and have choice at same time with historical bug information sets. We've got other a brand new module here as feedback session. During this system we are going to take the traditional feedback from the developer when finishing the bug
Title Efficacy of TACE in TIPS patients : Comparison of treatment response to chemoembolization for hepatocellular carcinoma in patients with and without a transjugular intrahepatic portosystemic shunt

Purpose To compare treatment response after transarterial chemoembolization (TACE) for hepatocellular carcinoma (HCC) in patients with and without a transjugular intrahepatic portosystemic shunt (TIPS). Materials and Methods A retrospective review of patients who underwent conventional TACE for HCC between January 2005 and December 2009 identified 10 patients with patent TIPS. From the same time period, 23 patients without TIPS were selected to control for comparable Model for End-Stage Liver Disease and Child–Pugh–Turcotte scores. The two groups showed similar distribution of Barcelona Clinic Liver Cancer and United Network of Organ Sharing stages. Target HCC lesions were evaluated according to the modified response evaluation criteria in solid tumors (mRECIST) guidelines. Transplantation rate, time to tumor progression, and overall survival (OS) were documented. Results After TACE, the rate of complete response was significantly greater in non-TIPS patients compared with TIPS patients (74 vs. 30 %, p = 0.03). Objective response rate (complete and partial response) trended greater in the non-TIPS group (83 vs. 50 %, p = 0.09). The liver transplantation rate was 80 and 74 % in the TIPS and non-TIPS groups, respectively (p = 1.0). Time to tumor progression was similar (p = 0.47) between the two groups. OS favored the non-TIPS group (p = 0.01) when censored for liver transplantation. Conclusion TACE is less effective in achieving complete or partial response using mRECIST criteria in TIPS patients compared with those without a TIPS. Nevertheless, similar clinical outcomes may be achieved, particularly in TIPS patients who are liver-transplantation candidates.
Protein-Based Fiber Materials in Medicine: A Review

Fibrous materials have garnered much interest in the field of biomedical engineering due to their high surface-area-to-volume ratio, porosity, and tunability. Specifically, in the field of tissue engineering, fiber meshes have been used to create biomimetic nanostructures that allow for cell attachment, migration, and proliferation, to promote tissue regeneration and wound healing, as well as controllable drug delivery. In addition to the properties of conventional, synthetic polymer fibers, fibers made from natural polymers, such as proteins, can exhibit enhanced biocompatibility, bioactivity, and biodegradability. Of these proteins, keratin, collagen, silk, elastin, zein, and soy are some the most common used in fiber fabrication. The specific capabilities of these materials have been shown to vary based on their physical properties, as well as their fabrication method. To date, such fabrication methods include electrospinning, wet/dry jet spinning, dry spinning, centrifugal spinning, solution blowing, self-assembly, phase separation, and drawing. This review serves to provide a basic knowledge of these commonly utilized proteins and methods, as well as the fabricated fibers’ applications in biomedical research.
The Effect of the Hospital Readmission Reduction Program on the Duration of Observation Stays: Using Regression Discontinuity to Estimate Causal Effects

Research Objective: Determine whether hospitals are increasing the duration of observation stays following index admission for heart failure to avoid potential payment penalties from the Hospital Readmission Reduction Program. Study Design: The Hospital Readmission Reduction Program applies a 30-day cutoff after which readmissions are no longer penalized. Given this seemingly arbitrary cutoff, we use regression discontinuity design, a quasi-experimental research design that can be used to make causal inferences. Population Studied: The High Value Healthcare Collaborative includes member healthcare systems covering 57% of the nation’s hospital referral regions. We used Medicare claims data including all patients residing within these regions. The study included patients with index admissions for heart failure from January 1, 2012 to June 30, 2015 and a subsequent observation stay within 60 days. We excluded hospitals with fewer than 25 heart failure readmissions in a year or fewer than 5 observation stays in a year and patients with subsequent observation stays at a different hospital. Principal Findings: Overall, there was no discontinuity at the 30-day cutoff in the duration of observation stays, the percent of observation stays over 12 hours, or the percent of observation stays over 24 hours. In the sub-analysis, the discontinuity was significant for non-penalized. Conclusion: The findings reveal evidence that the HRRP has resulted in an increase in the duration of observation stays for some non-penalized hospitals.
Fifty Percent Human – how art brings us in touch with our microbial cohabitants

The Human Microbiome, as well as the exploration of the microorganisms inhabiting the human body, are not only integral to the field of microbiology but represent an intrinsic part of all human beings. Consequently, along with scientists, artists have been inspired by the microbiome: transforming it in to tangible artefacts in order to critically question, reflect on and break down the barrier between humans and their microcohabitants. By artistic means, artists help us to understand how microbial research topics are inevitably affected by societal influences, including (health) politics, economics and the arts. Fifty Percent Human is a multidisciplinary artistic research project that aims to reshape our understanding of the human body and its environment as well as to explore possibilities for conscious coexistence in order to bridge the gap between science and society.
Design of a voice controlled robotic gripper arm using neural networks

The aim of this work is to propose a method to build an efficient Bangla voice controlled robotic gripper mechanism using Neural Networks. Robots are becoming an essential part of many industries and fields. Presently, various ways are used to control one. The most user friendly one of them is controlling it by voice commands. Though voice controlled robots are becoming a popular concept now, construction of Bangla voice controlled robots is still a new idea. Controlling the robot with voice commands along with visual feeds helps the robot to operate easily and more accurately. This robot consists of three modules: speech command recognition module, object classifier module and robotic gripper arm module. At first, the robot takes voice commands on which objects to grab and displace; then it finds the object using the object classifier module. And finally it grabs and displaces the object using the robotic gripper arm module. The speech recognition module and the object classifier module uses two distinct neural networks along with additional hardware to perform their tasks. This paper presents the design and fabrication process of the robot discussed so that robots can be made using this design that works under different situations. This robot can be used to perform tasks with a high efficiency on both industrial and domestic levels.
Optimal control for a boiler-turbine system via galerkin method

It is challenging to control boiler-turbine system in thermal power plant because of its large-scale nonlinearity, multi-variable couplings and physical constraints. This paper aims to design an optimal controller for a second-order boiler-turbine unit via a real-time GaleRkin optimal control strategy so as to achieve appropriate tracking performance. It will show that the proposed real-time Galerkin optimal control strategy can efficiently track the change of load in large-scale load range while maintaining physical constraints on both control inputs and outputs. Some simulations are conducted to validate our conclusions.
Reduced vasorin enhances angiotensin II signaling within the aging arterial wall

The glycosylated protein vasorin physically interacts with the transforming growth factor-beta1 (TGF-β1) and functionally attenuates its fibrogenic signaling in the vascular smooth muscle cells (VSMCs) of the arterial wall. Angiotensin II (Ang II) amplifies TGF-β1 activation in the VSMCs of the arterial wall with aging. In this study, we hypothesized that a reduced expression of the protein vasorin plays a contributory role in magnifying Ang II-associated fibrogenic signaling in the VSMCs of the arterial wall with aging. The current study shows that vasorin mRNA and protein expression were significantly decreased both in aortic wall and VSMCs from old (30 mo) vs. young (8 mo) FXBN rats. Exposing young VSMCs to Ang II reduced vasorin protein expression to the levels of old untreated cells while treating old VSMCs with the Ang II type AT1 receptor antagonist Losartan upregulated vasorin protein expression up to the levels of young. The physical interaction between vasorin and TGF-β1 was significantly decreased in old vs. young VSMCs. Further, exposing young VSMCs to Ang II increased the levels of matrix metalloproteinase type II (MMP-2) activation and TGF-β1 downstream molecules p-SMAD-2/3 and collagen type I production up to the levels of old untreated VSMCs, and these effects were substantially inhibited by overexpressing vasorin. Administration of Ang II to young rats (8 mo) for 28 days via an osmotic minipump markedly reduced the expression of vasorin. Importantly, vasorin protein was effectively cleaved by activated MMP-2 both in vitro and in vivo. Administration of the MMP inhibitor, PD 166793, for 6 mo to young adult (18 mo) via a daily gavage markedly increased levels of vasorin in the aortic wall. Thus, reduced vasorin amplifies Ang II profibrotic signaling via an activation of MMP-2 in VSMCs within the aging arterial wall.
Probabilistic Management of Late Arrival of Events

In a networked world, events are transmitted from multiple distributed sources into CEP systems, where events are related to one another along multiple dimensions, e.g., temporal and spatial, to create complex events. The big data era brought with it an increase in the scale and frequency of event reporting. Internet of Things adds another layer of complexity with multiple, continuously changing event sources, not all of which are perfectly reliable, often suffering from late arrivals. In this work we propose a probabilistic model to deal with the problem of reduced reliability of event arrival time. We use statistical theories to fit the distributions of inter-generation at the source and network delays per event type. Equipped with these distributions we propose a predictive method for determining whether an event belonging to a window has yet to arrive. Given some user-defined tolerance levels (on quality and timeliness), we propose an algorithm for dynamically determining the amount of time a complex event time-window should remain open. Using a thorough empirical analysis, we compare the proposed algorithm against state-of-the-art mechanisms for delayed arrival of events and show the superiority of our proposed method.
Targeted cancer drug delivery with aptamer-functionalized polymeric nanoparticles

Abstract Based on exceptional advantages of aptamers, increasing attention has been presented in the utilise of them as targeted ligands for cancer drug delivery. Recently, the progress of aptamer-targeted nanoparticles has presented new therapeutic systems for several types of cancer with decreased toxicity and improved efficacy. We highlight some of the promising formulations of aptamer-conjugated polymeric nanoparticles for specific targeted drug delivery to cancer cells. This review paper focuses on the current progresses in the use of the novel strategies to aptamer-targeted drug delivery for chemotherapy. An extensive literature review was performed using internet database, mainly PubMed based on MeSH keywords. The searches included full-text publications written in English without any limitation in date. The abstracts, reviews, books as well as studies without obvious relating of aptamers as targeted ligands for cancer drug delivery were excluded from the study. The reviewed literature revealed that aptamers with ability to modify and conjugate to various molecules can be used as targeted cancer therapy agents. However, development of aptamers unique to each individual’s tumour to the development of personalised medicine seems to be needed.
Quantifying Microglial Phagocytosis of Apoptotic Cells in the Brain in Health and Disease

Apoptosis is a ubiquitous process occurring in the brain under both physiological and pathological conditions. The central nervous system (CNS) requires an active and efficient clean‐up system to prevent the spillover of intracellular contents into the surrounding parenchyma and suppress the initiation of inflammatory and immune responses. Microglia, the resident professional phagocytes of the brain, are the cells in charge of the removal of these dead cells by the process named phagocytosis. Therefore, microglial phagocytosis is a vital mechanism to maintain tissue homeostasis. Traditionally, this process has been assessed using indirect methods, which have resulted in poor or inaccurate estimations of microglial phagocytosis efficiency. In these protocols, we describe a series of parameters to directly quantify microglial phagocytosis efficiency in vivo and in vitro. © 2018 by John Wiley & Sons, Inc.
Real-time reconstruction of multi-area power system signals based on compressed sensing

With the growing complexity of the power systems, increasing quantity of signals needs to be transmitted in multi-area power networks. In the light of the traditional signal acquisition process, Shannon sampling theorem need to be contented to prevent signal distortion, so the transmission of massive information requires large bandwidth. The timely and accurate transmission of real-time signal poses great challenges to multi-area power systems. This paper puts forward a novel signal processing means for the real-time reconstruction of multi-area power system signals via compressed sensing. Compressed sensing is an effective approach for acquiring compressed signals at a sampling rate remarkably below the Nyquist rate and accurately reconstructing signals from measurement vector. Multi-area power system signals needs to be sparsely transformed using sparse basis before being compressed. This paper uses an over-complete dictionary as the sparse basis. It can better match the structure of signal and achieve better sparse representation. In addition, this paper utilizes a temporality multiple sparse Bayesian learning (TMSBL) algorithm for improved reconstruct signal. Simulation results demonstrate that the signal can be accurately reconstructed applying the advanced modus while significantly reducing the signal reconstructed time.
Mechano-redox control of integrin de-adhesion

How proteins harness mechanical force to control function is a significant biological question. Here we describe a human cell surface receptor that couples ligand binding and force to trigger a chemical event which controls the adhesive properties of the receptor. Our studies of the secreted platelet oxidoreductase, ERp5, have revealed that it mediates release of fibrinogen from activated platelet αIIbβ3 integrin. Protein chemical studies show that ligand binding to extended αIIbβ3 integrin renders the βI-domain Cys177-Cys184 disulfide bond cleavable by ERp5. Fluid shear and force spectroscopy assays indicate that disulfide cleavage is enhanced by mechanical force. Cell adhesion assays and molecular dynamics simulations demonstrate that cleavage of the disulfide induces long-range allosteric effects within the βI-domain, mainly affecting the metal-binding sites, that results in release of fibrinogen. This coupling of ligand binding, force and redox events to control cell adhesion may be employed to regulate other protein-protein interactions.
A Convergence Criterion for Stochastic Dual Dynamic Programming: Application to the Long-Term Operation Planning Problem

The long-term operation planning problem is generally solved by a chain of computational models based on Stochastic Dual Dynamic Programming (SDDP) considering a period of 5–10 years ahead. A recent issue that has arisen concerning this problem is to define a convergence criterion when using conditional value-at-risk (CVaR) with SDDP due to the lack of good upper bound estimators. The main contribution of this paper is to propose a convergence criterion in which including CVaR does not hinder convergence analysis. Also, the proposed method does not increase the computational burden. Moreover, this paper provides a method that allows forward paths to be individually assessed, which can then either be discarded to reduce computational time or even replaced in an alternative resampling scheme in the SDDP. Based on aggregate reservoir representation, the proposed method of convergence was applied on long-term operation planning problems related to the Brazilian Power System. Results showed improvements in both the SDDP technique and the effectiveness of the proposed convergence criterion when CVaR was used.
Selecting the don't care bits in JPEG2000 ROI coding

Region of interest coding is an important feature in JPEG2000 and it is accomplished by pre-emphasizing the wavelet coefficients participating in the reconstruction of the ROI. In the general scaling-based method, a number of extra bits appear in the right side of the least significant bit of the ROI samples after the shifting process. These bits need be coded at the time of bit-plane coding, but they are discarded by the decoder. The usual procedure is for the encoder to set these "don't care" bits to zero. In this paper, we propose a method that exploits the state of the JPEG2000 entropy coder to set the values of these bits in a more intelligent way. The method can be implemented with only a small increase in coder complexity and improvements of up to 6% in the number of bits required to represent a code-block has been observed. The bit-stream remains JPEG2000 compliant.
How to measure and monitor albuminuria in healthy toddlers?

Objective Urinary albumin:creatinine ratio (UACR) in first morning void (FMV) urine samples collected over three days is the recommended method for measuring and monitoring albuminuria in adults in the clinical setting. Such a guideline is not available for toddlers and young children. We tested several urine collection strategies for albuminuria measurement in toddlers in a prospective observational study. Main outcomes measures Both a FMV and a random daytime urine sample were collected on three consecutive days at week 0, 4, and 8 in toddlers aged 12–48 months. Intra-individual coefficients of variation (CV) of urinary albumin (UAC) and UACR were compared using only the first measurement and using all three measurements per time point. In addition, these were compared with published CV of adults. Results A total of 80 toddlers (mean age 26.6 months, 53% male) were included. Intra-individual CV of FMV samples appeared lower than with random samples. The intra-individual CV in UAC or UACR was smaller using multiple compared to single samples. The lowest intra-individual CV was observed when UAC was measured in FMV over three consecutive days (38.3%). CV of UAC was similar to values published for adults. However, UACR CV was considerably higher in toddlers. Conclusions These data show that—in analogy with adult data—multiple first morning void urine samples should be preferred to single or random urine samples for establishing and monitoring albuminuria in toddlers. Further studies are needed to investigate why creatinine correction for differences in urine dilution is less effective in children.
Cluster based comb needle model using ISO data algorithm in the random wireless sensor network

This paper proposes the cluster based comb needle model using ISO data algorithm in the random network for the making efficient data aggregation with the help of weighted compressive sensing method in the random network for estimating the suitable network in order to minimize the energy consumption in the wireless sensor network. It makes the comparative analysis of the proposed cluster based comb needle model with the extended comb needle model for determining best comb needle model in the random network in terms of minimum energy consumption, communication cost, packet delivery ratio, throughput and delay. Moreover, it improves the lifespan of the network. The proposed method uses the ISO data clustering algorithm to produce the best clustering scheme with energy efficiency. Thus the experimental results for cluster based comb needle model in ISO data algorithm in random networks are executed using NS2 stimulator.
Photovoltaic Performance of Lead-Iodide Perovskite Solar Cells Fabricated Under Ambient Air Conditions With HTM Solution Excluding LiTFSI

Organic–inorganic lead halide perovskite solar cells (PSCs) have attracted a great deal of interest because of their potential low cost and high efficiency. However, in most publications, solar cells were fabricated in a highly controlled environment (glove boxes). To reduce the production cost, it is suggested to fabricate PSCs under ambient air conditions; however, some of the materials are highly sensitive to the humidity of ambient air conditions. Lithium bis(trifluoromethanesulfonyl)-imide (LiTFSI) is one of these materials that usually is used as a dopant in hole-conductor solutions. In this paper, we have studied the performance of PSCs fabricated under ambient air conditions without using LiTFSI in hole transport material (HTM) solutions. This means we have stored the materials, prepared the solutions, and fabricated the devices all under ambient air conditions. In this work, spin-coating speed for deposition of the HTM layer, HTM solution preparation, the effect of HTM exposure to air and light, and the repetitive measurement of cells are investigated. We found that exposure of samples to air and light is both crucial for fabrication of solar cells with larger current density and better fill factor. These results are important toward fabrication of low-cost high-efficiency PSCs under ambient air conditions.