Miracle-dz/UniFAR-FTUs huggingface dataset:
CFD Simulation and Experimental Verification for non-Newtonian Falling Film on Inclined Plate

In this study extensive unsteady 3-D simulations are carried out to predict velocity and thickness of the non-Newtonian falling film flow on inclined plates which have been measured experimentally. Different concentration carboxymethyl cellulose (CMC) solution (1.1, 1.5 and 2%), has been selected as the operating fluid in experimental works. The rheological properties were characterized by PolyVisc Visco Star Series L, surface tension was measured in ambient temperature and a single static contact angle was measured by the goniometry method. The power-law fluid model is iplemented to account for non-Newtonian behavior of the operating fluid. Inclined plates with different inclination angles α (0<α<π/2), and assorted surfaces (ceramics, aluminum and glass) were used to study the effect of inclination and contact angle on the vital parameters. Simulation is performed by a version of VOF family of algorithms, CICSAM, which is used to track the air-liquid interface. Surface tension and contact angle effects are also considered in formulations. All numerical implementations are carried out under OpenFOAM 1.3 CFD toolbox frame work. Good agreement between experimental data and CFD simulation results is observed.
Automatic Extraction of pipeline parallelism for embedded heterogeneous multi-core platforms

Automatic parallelization of sequential applications is the key for efficient use and optimization of current and future embedded multi-core systems. However, existing approaches often fail to achieve efficient balancing of tasks running on heterogeneous cores of an MPSoC. A reason for this is often insufficient knowledge of the underlying architecture's performance. In this paper, we present a novel parallelization approach for embedded MPSoCs that combines pipeline parallelization for loops with knowledge about different execution times for tasks on cores with different performance properties. Using Integer Linear Programming, an optimal solution with respect to the model used is derived implementing tasks with a well-balanced execution behavior. We evaluate our pipeline parallelization approach for heterogeneous MPSoCs using a set of standard embedded benchmarks and compare it with two existing state-of-the-art approaches. For all benchmarks, our parallelization approach obtains significantly higher speedups than either approach on heterogeneous MPSoCs.
Is Arrhythmia Detection by Automatic External Defibrillator Accurate for Children?: Sensitivity and Specificity of an Automatic External Defibrillator Algorithm in 696 Pediatric Arrhythmias

Background—Use of automatic external defibrillators (AEDs) in children aged <8 years is not recommended. The purpose of this study was to develop an ECG database of shockable and nonshockable rhythms from a broad age range of pediatric patients and to test the accuracy of the Agilent Heartstream FR2 Patient Analysis System for sensitivity and specificity. Methods and Results—Children aged ≤12 years who either developed arrhythmias or were at risk for developing arrhythmias were studied. Two sources were used for the database: children whose rhythms were recorded prospectively via a modified AED and children who had arrhythmias captured on paper and digitized for subsequent analysis. The rhythms were divided into 5-second strips, classified by 3 reviewers, and then assessed by the AED analysis algorithm. A total of 696 five-second rhythm strips from 191 children (81 female and 110 male) aged 1 day to 12 years (median 3.0 years) were analyzed. There was 100% specificity for nonshockable rhythms. Sensitivity for ventricular fibrillation was 96%. Conclusions—There was excellent AED rhythm analysis sensitivity and specificity in all age groups for ventricular fibrillation and nonshockable rhythms. The high specificity and sensitivity indicate that there is a very low risk of an inappropriate shock and that the AED correctly identifies shockable rhythms, making the algorithm both safe and effective for children.
Statistical Analysis of Delay Faults Theory and Efficient Computation

In this paper we propose a new measure for judging the dynamic behavior and testability of integrated circuits. This measure, called delay fault probability (DFP), is based on a statistical analysis of delay faults. For its comp utation, a sequence of signal delay faults along a path, their correlation, and the clock cycle time are considered. In order to properly model these distributed delays we choose the path delay fault model. Experimental results show thatDFP is a more accurate measure for assuring the dynamic behavior of a circuit than fault coverages. As computation of DFP requires an efficient method for path classification, i.e. for determining the sets of testab le, robust dependent and so-called relevant paths, respectively , we propose a new and efficient method for identifying robust dependent paths based on reconvergence analysis. Functional sensitization is only performed for path segments containe d in a minimal set of reconvergenceregions. Thus, the complex ity for path classification can be reduced from the total number of paths in the circuit to the number of paths included in the minimal set of reconvergence regions.
Deletion of the Inducible 70-kDa Heat Shock Protein Genes in Mice Impairs Cardiac Contractile Function and Calcium Handling Associated With Hypertrophy

Background— Hspa1a and Hspa1b genes encode stress-inducible 70-kDa heat shock proteins (Hsp70) that protect cells from insults such as ischemia. Mice with null mutations of both genes (KO) were generated, and their cardiac phenotype was explored. Methods and Results— Heart rate and blood pressures were normal in the KO mice. Hearts from KO mice were more susceptible to both functional and cellular damage by ischemia/reperfusion. Cardiac hypertrophy developed in Hsp70-KO mice. Ca2+ transients in cardiomyocytes of KO mice showed a delayed (120%) calcium decline and decreased sarcoplasmic reticulum calcium content. Cell shortening was decreased by 35%, and rates of contraction and relaxation were slower by 40%. These alterations can be attributed to the absence of Hsp70 because viral expression of Hsp70 in KO cultured cardiomyocytes restored these parameters. One mechanism underlying myocyte dysfunction could be decreased SERCA2a expression. This hypothesis was supported by a prolonged calcium decline and decreased SERCA2a protein. Viral SERCA2a expression restored contractility and Ca2+ transients. We examined the involvement of Jun N-terminal kinase (JNK), p38-mitogen–activated protein kinase (p38-MAPK), Raf-1, and extracellular signal–regulated kinase (ERK) in SERCA2a downregulation and the cardiac phenotype of KO mice. Levels of phosphorylated JNK, p38-MAPK, Raf-1, and ERK were elevated in KO hearts. Activation of the Raf-1–ERK pathway in normal cardiomyocytes resulted in decreased SERCA2a. Conclusions— Absence of Hsp70 leads to dysfunctional cardiomyocytes and impaired stress response of Hsp70-KO hearts against ischemia/reperfusion. In addition, deletion of Hsp70 genes might induce cardiac dysfunction and development of cardiac hypertrophy through the activation of JNK, p38-MAPK, Raf-1, and ERK.
A general construction of internal sheaves in algebraic set theory

We present a solution to the problem of defining a counterpart in Algebraic Set Theory of the construction of internal sheaves in Topos Theory. Our approach is general in that we consider sheaves as determined by Lawvere-Tierney coverages, rather than by Grothendieck coverages, and assume only a weakening of the axioms for small maps originally introduced by Joyal and Moerdijk, thus subsuming the existing topos-theoretic results.
Generalizing Dubins Curves: Minimum-time Sequences of Body-fixed Rotations and Translations in the Plane

In this paper we present the minimum-time sequences of rotations and translations that connect two configurations of a rigid body in the plane. The configuration of the body is its position and orientation, given by (x , y, θ ) coordinates, and the rotations and translations are velocities (x , y, θ ) that are constant in the frame of the robot. There are no obstacles in the plane. We completely describe the structure of the fastest trajectories, and present a polynomial-time algorithm that, given a set of rotation and translation controls, enumerates a finite set of structures of optimal trajectories. These trajectories are a generalization of the well-known Dubins and Reeds—Shepp curves, which describe the shortest paths for steered cars in the plane.
Sentiment Analysis of Micro blogs using Opinion Mining Classification Algorithm

: Opinion mining and sentiment analysis is a fast growing topic with various world applications, from polls to advertisement placement. Traditionally individuals gather feedback from their friends or relatives before purchasing an item, but today the trend is to identify the opinions of a variety of individuals around the globe using micro blogging data. This paper discusses an approach where a publicized stream of tweets from the Twitter micro blogging site are preprocessed and classified based on their subjectivity word and semantic phrase content as positive, negative and irrelevant. Analyses the performance of various classifying algorithms based on their precision and recall in such cases. In this paper, focus on using Twitter, the most popular micro-blogging platform, for the task of sentiment analysis. Show how to automatically collect a corpus for sentiment analysis and opinion mining purposes. The classification of a review is predicted by the average semantic orientation of the phrases in the review that contain adjectives or adverbs. A phrase has a positive semantic orientation when it has good associations and a negative semantic orientation when it has bad associations this paper, the semantic orientation of a phrase is calculated as the mutual information between the given phrase and the word “excellent” minus the mutual information between the given phrase and the word “poor”. Experimental evaluations show that proposed techniques are efficient and perform better than previously proposed methods.
Emergence and Spread of Antimicrobial-Resistant Pathogens in an Era of Globalization

In recent years, we have witnessed an increased emergence of antimicrobial-resistant (AMR) pathogens. In this era of globalization, international travel has been implicated as a significant risk factor for the acquisition of infections with multidrug-resistant bacteria, including Acinetobacter spp. , methicillin-resistant Staphylococcus aureus, vancomycin-resistant enterococci, hypervirulent Clostridium difficile, and Extended-Spectrum-Beta-Lactamase- (ESBL-) producing Enterobacteriaceae [1–4]. The plasmid encoded cefotaximase enzymes CTX-M and the New Delhi metallo-beta-lactamase-1 (NDM-1) represent two excellent examples of the ESBL and carbapenemase that have been rapidly and globally disseminated. In this special issue, M. Elouennass et al. report on high rates of ESBL-producing Enterobacteriaceae and the emergence of carbapenemase-producing isolates in Morocco. The boom in medical tourism has seen patients from developed nations taking up low-cost private medical care in developing countries. This inevitably provides ample opportunity for clinically important AMR pathogens to be acquired and disseminated across geographical borders. A recent example is NDM-1 which was first described in an isolate from a Swedish patient who had previously been hospitalized in New Delhi, India [5]. NDM-1-producing isolates have subsequently been reported across several continents often detected in patients with history of recent medical care in the Indian subcontinent [6]. Preventive measures against nosocomial transmission of AMR pathogens include hand hygiene, environmental decontamination as well as screening and cohorting of patients. Data from the study by J. C. Catano et al., presented in this issue, identifies the diversity of areas of bacterial contamination in a tertiary healthcare setting in a developing country. As stated by the authors “these bacterial reservoirs are a plausible source of infections for patients” and it indicates the need for further research to evaluate strategies for minimizing risk of transmission to patients.
Information theoretic approaches to model selection

The p r imary p rob l em in l a rge vocabu l a ry conversational speech recognition (LVCSR) is poor acoustic-level matching due to large variability in pronunciations. There is much to explore about the “quality” of states in an HMM and the interrelationships between inter-state and intra-state Gaussians used to model speech. Of particular interest is the variable discriminating power of the individual states. The fundamental concept addressed in this paper is to investigate means of exploiting such dependencies through model topology optimization based on the Bayesian Information Criterion (BIC) and the Minimum Description Length (MDL) principle.
Implications of increased use of brought-in feeds on potential environmental effects of dairy farms in Waikato

The effects of increased use of brought-in feeds were evaluated across 25 dairy farms in central Waikato. Farms were classified into low, medium and high feedinput categories based on <500, 500-1200 and >1200 kg DM/cow, covering a range typical of that in the main dairying regions of New Zealand. Average milksolids (MS)/ha was 1087 and 1900 kg in the low and high feed-input categories, but total land-use/tonne MS was the same when all off-farm land was accounted for. Average estimated on-farm nitrogen (N) leaching increased from 26 to 30 kg N/ha/year between the low and high feed-input categories, but off-farm leaching sources were equivalent to an increase of 20 and 84%, respectively. Greenhouse gas emissions/on-farm hectare were 61% higher on high feed-input farms, but the carbon footprint and N leaching per tonne MS were similar across feed-input categories. High feed-input farms used feed-pads and increased effluent area (66 versus 21% of farm) to increase nutrient efficiency. Mitigation analyses indicated that N leaching could be decreased by optimising effluent area, reducing N fertiliser rate and utilising low-N feeds.
Fermentative Succinate Production: An Emerging Technology to Replace the Traditional Petrochemical Processes

Succinate is a valuable platform chemical for multiple applications. Confronted with the exhaustion of fossil energy resources, fermentative succinate production from renewable biomass to replace the traditional petrochemical process is receiving an increasing amount of attention. During the past few years, the succinate-producing process using microbial fermentation has been made commercially available by the joint efforts of researchers in different fields. In this review, recent attempts and experiences devoted to reduce the production cost of biobased succinate are summarized, including strain improvement, fermentation engineering, and downstream processing. The key limitations and challenges faced in current microbial production systems are also proposed.
Join processing and domain indices

Among the operations for relational database systems, the join is the most expensive operation. For the efficient processing of the join operation, we introduce a join algorithm using domain indices. The performance of the join algorithm is compared with those utilizing the join indices and hybrid hash. The performance measures include the join cost and cost overhead for update and retrieval opeations. The results show that join with the domain indices outperforms other algori thms by the factor of 2 based on the parameters expected in typical database applications. Also discussed is how the domain indices can be utilized for a user interface.
Memantine in Moderate to Severe Alzheimer’s Disease: a Meta-Analysis of Randomised Clinical Trials

The efficacy of memantine in Alzheimer’s disease (AD) has been investigated in multiple randomised, placebo-controlled phase III trials. Recently, the indication label for memantine in Europe was extended to cover patients with moderate to severe AD, i.e. Mini-Mental State Exam total scores below 20. The efficacy data for memantine in this patient subgroup has been summarised by a meta-analysis of 1,826 patients in six trials. Efficacy was assessed using measures of global status (Clinician’s Interview-Based Impression of Change Plus Caregiver Input), cognition (Alzheimer’s Disease Assessment Scale – Cognitive Subscale, or Severe Impairment Battery), function (Alzheimer’s Disease Cooperative Study Activities of Daily Living 19- or 23-item scale), and behaviour (Neuropsychiatric Inventory). Results (without replacement of missing values) showed statistically significant effects for memantine (vs. placebo) in each domain. Memantine was well tolerated, and the overall incidence rates of adverse events were comparable to placebo. This meta-analysis supports memantine’s clinically relevant efficacy in patients with moderate to severe AD.
Production Test Consideration for Mixed-Signal IC with Background Calibration

— This paper proposes an improved method of background calibration that reduces production testing time of mixed-signal ICs. Production testing time typically consists of “calibra-tion convergence time” + “functional testing time after calibration convergence”. The method that is proposed here reduces average calibration convergence time. This method does not require extra ADC operation for functional testing after calibration convergence, and can be implemented with little additional on-chip test-support circuitry when testing is performed by ATE (Automatic Test Equipment). As an application of this method, we discuss background calibration of pipelined ADCs and present simulation results that demonstrate its effectiveness in reducing testing time.
ASSESSMEN OF THE REDUCING EFFECTS IN MIXTURES OF GRAPE ( VITIS VINIFERA ) SEED EXTRACTS WITH α-TOCOPHEROL USING RESPONSE SURFACE METHODOLOGY

The efficiency of grape seed extracts to express reducing power was assessed using two different approaches and the TPTZ as the chromophore probe. Further to that, the mixture effects when the extracts were combined with α-tocopherol (α-Tcp) were also evaluated. The approaches included a simple linear regression analysis between the response (reducing power) and concentration, but also a response surface methodology, which permitted the monitoring of the response upon simultaneous variation of both the concentration of the total polyphenols (TP) of α-Tcp. The outcome of the study indicated that the deployment of linear regression poses important constrains with regard to concentration ranges, whereas the response surface methodology might be a valuable statistical tool for similar assessments and credible modeling of binary mixtures of antioxidants. In all combinations tested it was found that an antagonism is manifested, presumably as a result of α-Tcp regeneration by the extract polyphenols, at the expense of the latter.
A Distributed Graph Data Storage and Computing Framework

Graph has been widely adopted in Social Network Service (SNS) applications because it is very easy to represent user relationship information. In order to achieve high performance, prevalent algorithms tend to keep the graph data in memory to speed up the data access. However, failing to balance the costs of random access patterns and physical memory consumption hurts the effectiveness. In this paper, we propose a novel graph data processing framework to solve these issues. It develops a novel graph organization model to minimize the costs of graph data accesses and reduce the memory consumption. We compare our system with other graph processing systems on several widely used applications using large-scale real world SNS data, and results show that it outperforms the current mechanisms.
Agile photonic integrated systems-on-chip enabling WDM terabit networks

The ICT-APACHE research project is focusing on the development of cost-effective, compact, scalable and agile integrated components capable of generating, regenerating and receiving multi-level encoded data signals for high capacity (>100 Gb/s) WDM optical networks. APACHE technology relies on InP active, monolithic chips, hybridly integrated on silica-on-silicon planar lightwave platforms in order to achieve cost-efficiency, high yield, low power consumption and device scaling beyond the level commercially available today. The APACHE integration approach is implemented in a two-dimensional plan, horizontally and vertically, in order to enable multi-functionality and increased capacity, respectively. The final goal of the APACHE project is the fabrication of integrated arrays of transmitters, receivers and regenerators that will operate with 100 Gb/s OOK, DPSK and DQPSK modulated signals, allowing for 1 Terabit/s on-chip capacity. In this paper, we will review the latest results from the system-level characterization of the developed components and will outline the roadmap for future endeavours.
Phase Noise Analysis in CMOS LC Quadrature VCO

Shuguang Han , Baoyong Chi and Zhihua Wang Department of Electronic Engineering, Tsinghua University, Beijing 100084, P. R. China Institute of Microelectronics, Tsinghua University, Beijing 100084, P. R. China 2 Abstract: Based on a physical understanding of phase noise mechanisms in CMOS LC Quadrature voltage-controlled oscillator (QVCO), a quantitative analysis of phase noise in QVCO is developed. The noise of the coupling transistor is identified, and the relationship between the phase noise and the ratio of the width of coupling transistor to the width of switching transistor is analyzed. The prediction of the phase noise is in good agreement with the measurement results at 2 1/ f region. As a demonstration, a QVCO is implemented in a 0.25-um CMOS process using on-chip spiral inductors. Measurement results show that the QVCO can be tuned between 1.77 and 2.415GHz, has a phase noise of –117.17dBc/Hz at 1-MHz frequency offset for a 2.267GHz carrier, and dissipates 7.5mW from the 2.5-V power supply.
Graphical representation of the salient conformational features of protein residues.

A composite plot for depicting in two dimensions the conformation and the secondary structural features of protein residues has been developed. Instead of presenting the exact values of the main- and side-chain torsion angles (φ, psi and chi(1)), it indicates the region in the three-dimensional conformational space to which a residue belongs. Other structural aspects, like the presence of a cis peptide bond and disulfide linkages, are also displayed. The plot may be used to recognize patterns in the backbone and side-chain conformation along a polypeptide chain and to compare protein structures derived from X-ray crystallography, NMR spectroscopy or molecular modelling studies and also to highlight the effect of mutation on structure.
THE 4TH INTERNATIONAL CONFERENCE ON ALUMINUM ALLOYS

The growth of physically short cracks at various orientations has been studied in a highly textured AI-Li alloy 8090. In comparison to the behaviour of long cracks at the same nominal L'. K-Ievels thc short crack speciJl1ens showcd Stagc I type macroscopically deflected crack growth at all L'. K values. The TL long crack specimens showed this type of craek growth above L'. K = 16-18 Ml'aJm. The slip-planes down which the Stage I type cracks grew were normally the "roof-top" planes of the brass-type texture. The L+30' orientation short crack specimen however also exhibited crack growth along the slip-plane common to both components of the brass type texture. The short crack specimens showed higher crack growth rates than the long crack TL orientation. but equivalent to the LT long crack specimen. There was little effect of short crack specimen orientation on crack growth rates. but striking differences in terJl1S of crack path. It is proposed that the effect of crack path on lifing analyses in this material should be considered. as significant deflections in crack path can produce mixed mode loading conditions at the crack tip.