Miracle-dz/UniFAR-FTUs huggingface dataset:
A survey of software quality metrics for software measurement process

Software measurement process is a process that measures, adjusts, evaluates, and improves the software development process. Software metrics may be used in different models to improve software quality. This paper aims to identify software metrics to increase knowledge of the reasons and effects of using metrics and to evaluate their applicability in software development. Therefore, we use previous studies in the literature in order to describe the fundamental aspects of the software quality metrics. We discuss several metrics of software quality metrics: product quality, inprocess quality, testing quality, and customer satisfaction quality. Process metrics have been seemed more successful in discovering faults as compared to complexity metrics and traditional size.
A Public Opinions Monitoring System based on Similarity of Microblogs

Public opinion is the development and changes in certain social space around the intermediary social events, public social managers and held social and political attitudes. In order to improve the efficiency of text clustering, this paper proposes a new similarity measure model OFM. In the first stage, OFM proposed a new term relationship search algorithm named CrtURG non-directional graphics integrated relationship. OFM build another called SIM expand ad hoc, said vector algorithm to different instant messaging.
Microbial Surgical Site Infections in Association with Post Cardiac Surgery

Cardiac surgeries are considered as a big problem around the world; because of the consequences of surgical site infections. There are several risk factors which may lead to surgical infections. However, the factors are categorized into three groups of preoperative, perioperative and postoperative risk factors that may lead to microbial surgical site infections in patients with post cardiac surgery. The medical (morbidity and mortality) and financial consequences in association with surgical site infections are very significant and considerable. But, the use of standard sterilization protocols and accurate surgical methodologies may help to reduce the microbial infections in patients with cardiac surgery. For this reason, the focused aim of the present literature is to have a deep review in epidemiology, microbiology, pathogenesis and virulence and the risk factors pertaining to microbial surgical site infections in patients with post cardiac surgery.
Risk Factors for Colorectal Cancer

In this review, modifiable and non-modifiable risk factors that contribute to development of colorectal cancer are discussed, exploring the role of genetics and heritable colon cancer syndromes along with medical comorbidities that influence risk. Socioeconomic factors that contribute to colorectal cancer risk are explored along with various health-related behavioral patterns such as obesity, smoking, and diet. Recent data suggesting changes in the incidence of colorectal cancer in the last decade is also reviewed. The rationale for a long-term population-based exploration of these issues is laid out to identify areas in which intervention can promote healthy behaviors, avoid disease, and optimize treatments.
A Prospective Study on the Use of Botulinum Injection and Horizontal Strabismus in Children

Strabismus is a condition in which the eyes are not properly aligned with each other. Different treatment options are available to treat strabismus. Surgery is considered to be the cornerstone of strabismus management when all else fails. However treatment with botulinum toxin has been seen to produce good results in the short also with one study showing better results than one surgical series and atleast similar results to the other published surgical series. As the surgical intervention is a more invasive procedure, if the same effect can be achieved by the botox injection, it provides an attractive option to patients. Our research aims to probe into this better alternative and thus looking at the long term effect of botulinum toxin on patients who have binocularity potential versus those who had no binocularity.
Peer Instruction method in introductory math courses

Learning is not a spectator’s sport. Students do not learn much by just sitting in class listening their teachers, memorizing pre-packaged assignments and spitting out answers. The teaching-learning process has been a constant target of studies, particularly in Higher Education, in consequence of the annual increase of new students. The concern with maintaining a desired quality level in the training of these students, conjugated with the will to widen the access to all of those who finish Secondary School Education, has triggered a greater intervention from the education specialists, in partnership with the teachers of all Higher Education areas, in the analysis of this problem. Considering the particular case of Engineering, it has been witnessed a rising concern with the active learning strategies and forms of assessment. Research has demonstrated that students learn more if they are actively engaged with the material they are studying. In this presentation we describe, present and discuss the techniques and the results of Peer Instruction method in an introductory Calculus courses of an Engineering Bach.
SHUEE on the evaluation of upper limb in cerebral palsy

OBJECTIVE: To demonstrate the use of the tool for evaluation of spastic upper limb SHUEE (Shriners Hospital Upper Extremity Evaluation) in the evaluation of upper limb in cerebral palsy (CP) and its ability to detect changes after surgical treatment of identified deformities. METHODS: 19 patients with spastic hemiplegic CP had their upper limb evaluated by SHUEE. Five patients underwent surgical treatment of deformities detected and performed the test at one year postoperatively. RESULTS: The mean age was 9.02 years old; 18 patients were classified as level I GMFCS and one patient as level II. At baseline, the mean spontaneous functional analysis was 59.01; dynamic positional analysis was 58.05 and grasp-and-release function, was 91.21. In the postoperative period the scores were, respectively, 65.73, 69.62 and 100, showing an improvement of 3.5% in the spontaneous functional analysis and of 44.8% in dynamic positional analysis. CONCLUSIONS: SHUEE is a tool for evaluation of spastic upper limb in cerebral palsy that helps in the specific diagnosis of deformities, indication of treatment and objective detection of results after surgical treatment. Level of Evidence IV, Case Series.
Stem cell research and regenerative therapy: towards a bright future

Submit Manuscript | http://medcraveonline.com J Stem Cell Res Ther 2015, 1(1): 00002 cell scientists, by using bone marrow or umbilical cord cells to establish neurons or pancreatic cells and using brain cells to give rise to other cell types. That was exciting enough to attract more interest in terms of finance, (life)-time and energy investments towards stem cell research and regeneration with the promise of greater scientific achievements and a better control over stem cell proliferation and commitment. However, as science is always about, restrictions and undesired results were unavoidable aching points which attenuate the enormous progress in the field of stem cells and regenerative medicine.
Image indexing using a texture dictionary

We propose a new method for indexing large image databases. The method incorporates neural network learning algorithms and pattern recognition techniques to construct an image pattern dictionary. Image retrieval is then formulated as a process of dictionary search to compute the best matching codeword, which in turn indexes into the database items. Experimental results are presented.
Simultaneous Information and Power Transfer Using Magnetic Resonance

To deal with the major challenges of embedded sensor networks, we consider the use of magnetic fields as a means of reliably transferring both information and power to embedded sensors. We focus on a power allocation strategy for an orthogonal frequency‐division multiplexing system to maximize the transferred power under the required information capacity and total available power constraints. First, we consider the case of a co‐receiver, where information and power can be extracted from the same signal. In this case, we find an optimal power allocation (OPA) and provide the upper bound of achievable transferred power and capacity pairs. However, the exact calculation of the OPA is computationally complex. Thus, we propose a low‐complexity power reallocation algorithm. For practical consideration, we consider the case of a separated receiver (where information and power are transferred separately through different resources) and propose two heuristic power allocation algorithms. Through simulations using the Agilent Advanced Design System and Ansoft High Frequency Structure Simulator, we validate the magnetic‐inductive channel characteristic. In addition, we show the performances of the proposed algorithms by providing achievable ƞ‐C regions.
Analysis of nonlinear systems with multiple inputs

Analytical modeling of communication receivers to account for their nonlinear response to multiple input signals is discussed. The method is based on the application of the Wiener-Volterra analysis of nonlinear functionals. The derived analytical relations were embodied in a computer program which provides nonlinear transfer functions of large circuits specified by their parameters. This method was applied to the prediction of behavior of communication receivers in the presence of interference. Examples illustrate the method and demonstrate its validity in the small-signal region.
Design of a Micropower CMOS Four-Quadrant Multiplier Based on the Translinear Principle

This paper presents a novel design technique for low-distortion, micropower CMOS analog multipliers by adapting Gilbert's translinear principle to weak inversion. A non-linearity of 0.95% for input voltages of 0.5V and power consumption of 84? W have experimentally been obtained. The multiplier bandwidth is 30Khz for a bias current of 370? A.
A Note on Cryptocurrency Stabilisation: Seigniorage Shares

Cryptocurrencies like Bitcoin govern the supply of coin through simple and deterministic coin growth rules. As a result, unanticipated changes in coin demand are reflected in changes in coin price, causing volatility and discouraging usage of coin as media-of-exchange. We argue that next-generation cryptocurrencies should incorporate an elastic supply rule that adjust the quantity of coin supply proportionately to changes in coin market value. There are two difficult problems to solve in order to implement such a scheme. This note outlines a solution to one of those problems, and offers some suggestions on how the other problem might be solved.
Jitter in deep submicron CMOS single-ended ring oscillators

A 1/f3 phase noise corner frequency of approximately 1 MHz has been observed in phase noise measurements of single-ended ring oscillators in a 0. 18μm CMOS process. Consequently, increased loop bandwidth is necessary for PLLs in a deep submicron CMOS process to minimize jitter contributed by the VCO. As a guide to design, the time domain figure-of-merit κ is measured as a function of channel width, length, and inverter stage delay.
An integrated one-cycle control buck converter with adaptive output and dual loops for output error correction

An integrated adaptive-output switching converter is presented. This converter adopts one-cycle control for fast line response and dual error correction loops for tight load regulation. A dc level shifting technique is proposed to eliminate the use of negative supply and reference voltages in the controller and make the design compatible with standard digital CMOS process. The design accommodates both continuous and discontinuous conduction operations. To further enhance the efficiency, dynamic loss control on the power transistors is proposed to minimize the sum of switching and conduction losses. The design can be extended to other dc-dc and ac-dc conversions. The prototype of the buck converter was fabricated with a standard 0.5-/spl mu/m digital CMOS process. Experimental results show that the converter is well regulated over an output range of 0.9-2.5 V, with a supply voltage of 3.3 V. The tracking speeds are 12.25 /spl mu/s/V for a 1.6-V step-up output change and 13.75 /spl mu/s/V for a 1.6-V step-down output change, respectively, which are much faster than existing counterparts. Maximum efficiency of 93.7% is achieved and high efficiency above 75% is retained over an output power ranging from 10 to 450 mW.
Peer-to-Peer Multimedia Streaming with Guaranteed QoS for Future Real-time Applications

Peer-to-Peer multimedia streaming is expected to grow rapidly in the near future. Packet losses during transmission are a serious problem for streaming media as they result in degradation of the quality of service (QoS). Forward Error Correction (FEC) is a promising technique to recover the lost packets and improve the QoS of streaming media. However, FEC may degrade the QoS of all streaming due to the increased congestion caused by the FEC overhead when streaming sessions increase. Although streaming media can be categorized into live and on-demand streaming contents, conventional FEC methods apply the same FEC scheme for both contents without distinguishing them. In this paper, we clarify the effective ranges where each conventional FEC and Retransmission scheme works well. Then, we propose a novel FEC method that distinguishes two types of streaming media and is applied for on-demand streaming contents. It can overcome the adverse effect of the FEC overhead in on-demand streaming contents during media streaming and therefore reduce the packet loss due to the FEC overhead. As a result, the packet loss ratios of both live and on-demand streaming contents are improved. Moreover, it provides the QoS according to the requirements and environments of users by using layered coding of FEC. Thus, packet losses are recovered at each end host and do not affect the next-hop streaming. The numerical analyses show that our proposed method highly improves the packet loss ratio compared to the conventional method.
Hierarchical Adaptive Mesh for FEM Simulations of Ultra High-Speed Impact Problem

We demonstrate how algorithms to compute hierarchical triangular meshes. We can generate the hierarchical triangular meshes using level-of-detail for the mesh data structure. We perform hierarchical regional partitions using Ward's method with hierarchical data structure to achieve the level-of-detail. The meshes using this data structure can be hierarchically compressed and be unpacked at a faster pace. Additionally, we introduce the adaptive mesh generation algorithms for the parameters of computational mechanics by setting some kind of metrics in the level-of-detail.
An icon-based data image construction method for production data visualization

Visualization takes advantage of human's rapid and flexible pattern recognition capacity to provide a powerful information-processing environment. It is especially suitable for identifying patterns that are difficult, or impossible, to be defined by a mathematical or computer model. This paper presents an icon-based method for constructing images to visualize the abstract, multidimensional production data stored in tables. The method employs a simple, topology-preserving mapping to convert numbers in a table to icons. This mapping strategy not only makes the meaning of the resulted data image easy to understand, but also makes the maximum number of dimensions and data items that could be displayed be virtually unlimited. Visual patterns in the data image are formed by adjacent icons that have similar grey scales. The area sampling techniques could be applied to reduce the size of the data image while still retaining its visual patterns. The proposed visualization method has been applied to several production planning and control activities, including analysing WIP patterns, production indices, and the machine idle cost performance of production plans. These industrial case studies demonstrate that the ability to quickly and easily examine large amount of manufacturing data through visualization is critical for manufacturing companies to understand their performance, discover possible problems and take necessary actions so that they could remain competitive in the market.
Conservative Enteral Feeding Policy and Necrotizing Enterocolitis (NEC) in VLBW Infants: A Single Center Experience

Background: One of the major modifiable risk factor for necrotizing enterocolitis (NEC) in very low birth weight (VLBW) infants is related to enteral feeding practices. Objective: The primary outcome was to determine a potential association of slow rates of enteral feed advancement and the incidence of NEC in VLBW infants. Method: Single center retrospective analysis at a tertiary University Children’s
An Improved STC Image Compression Method

In this paper, inspired by the idea of the S-Tree Coding (STC), we propose an improved STC image compression method by using the Nonoverlapping Non-symmetry and Anti-packing Model (NNAM) and the extended shading approach, which is called the NNAM Coding (NNAMC) method. In our method, the encoding can be performed in O(n log n) time and the decoding can be performed in O(n) time, where n denotes the number of pixels in a gray image. By comparing our proposed NNAMC method with the conventional STC method, the experimental results presented in this paper show that the former can significantly reduce the lower bit rate and the number of homogenous blocks than the latter whereas remaining the satisfactory image quality.
Random Choice Method for Treating the Convection-Diffusion Equation

A numerical method is developed for solving the convection-diffusion equation arising from the conservation equations used to represent miscible displacement processes. This method is superior to the conventional finite difference methods in that it introduces only a negligible amount of numerical dispersion, in contrast to the significant numerical smearing introduced by most finite difference techniques. The combined scheme is unconditionally stable. Extensive numerical tests show that the method is able to approximate the convection-diffusion equation accurately without introducing any significant numerical dispersion. No spurious oscillation is observed even at small values of the diffusion coefficient. In the limit when the diffusion coefficient approaches zero, a perfectly sharp displacement front is calculated. Extension of the method to multidimensional problems is possible by the use of operator splitting, which reduces the problem to fractional steps of locally one dimensional problem.
A computational model of rubato

Presented is a model of rubato, implemented in Lisp, in which expression is viewed as the mapping of musical structure into the variables of expression. The basic idea is that the performer uses “phrase final lengthening” as a device to reflect some internal representation of the phrase structure. The representation is based on Lardahl and Jackendoff's time-span reduction. The basic heuristic in the model is recursive involving look-ahead and planning at a number of levels. The planned phrasings are superposed beat by beat and the output from the program is a list of durations which could easily be adapted to be sent to a synthesiser given a suitable system.
Can We Learn From Viruses How to Prevent Type 1 Diabetes?: The Role of Viral Infections in the Pathogenesis of Type 1 Diabetes and the Development of Novel Combination Therapies

We will take a journey from basic pathogenetic mechanisms elicited by viral infections that play a role in the development of type 1 diabetes to clinical interventions, where we will discuss novel combination therapies. The role of viral infections in the development of type 1 diabetes is a rather interesting topic because in experimental models viruses appear capable of both accelerating as well as decelerating the immunological processes leading to type 1 diabetes. Consequently, I will discuss some of the underlying mechanisms for each situation and consider methods to investigate the proposed dichotomy for the involvement of viruses in human type 1 diabetes. Prevention of type 1 diabetes by infection supports the so-called “hygiene hypothesis. ” Interestingly, viruses invoke mechanisms that need to be exploited by novel combinatorial immune-based interventions, the first one being the elimination of autoaggressive T-cells attacking the β-cells, ultimately leading to their immediate but temporally limited amelioration. The other is the invigoration of regulatory T-cells (Tregs), which can mediate long-term tolerance to β-cell proteins in the pancreatic islets and draining lymph nodes. In combination, these two immune elements have the potential to permanently stop type 1 diabetes. It is my belief that only combination therapies will enable the permanent prevention and curing of type 1 diabetes.
Genotype × Environment Interaction in Psychopathology: Fact or Artifact?

Abstract Recent studies have claimed to detect interaction between candidate genes and specific environmental factors (Genotype × Environment interaction, G × E) in susceptibility to psychiatric disorder. The objective of the present study was to examine possible artifacts that could explain widely publicized findings. The additive effects of candidate genes and measured environment on liability to disorder were simulated under a model that allowed for mixture of distributions in liability conditional on genotype and environment. Simulated liabilities were dichotomized at a threshold value to reflect diagnosis of disorder. Multiple blocks of simulated data were analyzed by standard statistical methods to test for the main effects and interactions of genes and environment on outcome. The main outcome of this study was simulated liabilities and diagnoses of major depression and antisocial behavior. Analysis of the dichotomized data by logistic regression frequently detected significant G × E interaction even though none was present for liability. There is therefore reason to question the biological significance of published findings.
Noticeable loss: a metric for capturing loss pattern for continuous media applications

With the proliferation of Continuous Media (CM) applications on the Internet, it has become important to be able to devise suitable metrics that capture their performance. One such metric identified is packet loss, which results from statistical multiplexing over-loads, missed deadlines and other network pathologies. While work exist in literature on estimating the packet loss ratio, little work has been done on capturing the actual loss process itself. For the same loss ratio, CM applications perceive different QoS for different loss patterns. Thus, it is important to be able provide simple means of capturing the los process for users as well as for operators. We provide one such approach in this paper. We also describe a control algorithm that regulates the loss process while handling multiplexing overloads. This algorithm, which can be used in a statistically shared resource such as a server or a network buffer, preemptively discards packets based on the 'distance' to the previously lost packet of the same stream during overloads. The experimental results involving Variable Bit Rate video streams indicate that the algorithm greatly improves the QoS by spreading out losses for various streams with disparate loss requirements.