Miracle-dz/UniFAR-FTUs huggingface dataset:
Requirement Risk Level Forecast Using Bayesian Networks Classifiers

Requirement engineering is a key issue in the development of a software project. Like any other development activity it is not without risks. This work is about the empirical study of risks of requirements by applying machine learning techniques, specifically Bayesian networks classifiers. We have defined several models to predict the risk level for a given requirement using three dataset that collect metrics taken from the requirement specifications of different projects. The classification accuracy of the Bayesian models obtained is evaluated and compared using several classification performance measures. The results of the experiments show that the Bayesians networks allow obtaining valid predictors. Specifically, a tree augmented network structure shows a competitive experimental performance in all datasets. Besides, the relations established between the variables collected to determine the level of risk in a requirement, match with those set by requirement engineers. We show that Bayesian networks are valid tools for the automation of risks assessment in requirement engineering.
Recent developments in eco-efficient bio-based adhesives for wood bonding: opportunities and issues

Recent developments and trends in the field of eco-efficient bio-based adhesives are reviewed. Eco-efficient means efficient with regard to both ecological and economical aspects. The recent developments in tannin adhesives without the use of any aldehyde-yielding compounds under the conditions of use, or even without the use of any hardeners, are described. Lignin adhesives are discussed next. Developments in protein adhesives, particularly the recent development in soy protein adhesives, are then addressed. Several new trends in carbohydrate adhesives, namely as modifiers of existing adhesives, by forming degradation compounds such as furanic compounds which can then be used as adhesives building blocks, and directly as wood adhesives, even in the form of liquified wood, are addressed. Unsaturated oil adhesives based on epoxidized unsaturated vegetable oils are also described, as well as an example of cashew nut shell oil modified by a new and inexpensive method of ozonolysis to yield an adhesive by self-condensation of the material. The review addresses last the new process of solid wood welding by mechanical friction without the use of any adhesive, in which the wood interfacial region itself is used as the binder.
Epigenetic Research in Cancer Epidemiology: Trends, Opportunities, and Challenges

Epigenetics is emerging as an important field in cancer epidemiology that promises to provide insights into gene regulation and facilitate cancer control throughout the cancer care continuum. Increasingly, investigators are incorporating epigenetic analysis into the studies of etiology and outcomes. To understand current progress and trends in the inclusion of epigenetics in cancer epidemiology, we evaluated the published literature and the National Cancer Institute (NCI)–supported research grant awards in this field to identify trends in epigenetics research. We present a summary of the epidemiologic studies in NCI's grant portfolio (from January 2005 through December 2012) and in the scientific literature published during the same period, irrespective of support from the NCI. Blood cells and tumor tissue were the most commonly used biospecimens in these studies, although buccal cells, cervical cells, sputum, and stool samples were also used. DNA methylation profiling was the focus of the majority of studies, but several studies also measured microRNA profiles. We illustrate here the current status of epidemiologic studies that are evaluating epigenetic changes in large populations. The incorporation of epigenomic assessments in cancer epidemiology studies has and is likely to continue to provide important insights into the field of cancer research. Cancer Epidemiol Biomarkers Prev; 23(2); 223–33. ©2013 AACR.
Transduction in Bacillus cereus and Bacillus anthracis.

A phage, designated CP-51, that carries out generalized transduction in Bacillus cereus and B. anthracis, has recently been isolated from soil. Transducing phages for members of the genus Bacillus have been described previously for B. subtilis and B. licheniformis (2-6). Those that have been best characterized are PBS-1 for B. subtilis (4) and SP-10 and SP-15 for both B. subtilis and B. licheniformis (5, 6). None of these transducing phages is active on B. cereus or B. anthracis. Thus, the availability of CP-51 broadens the range of organisms in which genetic exchange is now possible.
Effects of 17-allylamino-17-demethoxygeldanamycin on the induction of apoptosis and cell cycle arrest in HCT-116 cells

The present study investigated the effects of HSP90 inhibitor 17-allylamino-17-demethoxygeldanamycin (17-AAG) on apoptosis and the cell cycle of the HCT-116 human colon carcinoma cell line, with the aim of elucidating their underlying mechanisms. MTT was used to examine the inhibitory effects of 17-AAG on the proliferation of HCT-116 cells at various time points and doses. The cells were stained with Annexin V-fluorescein isothiocyanate/propidium iodide and evaluated by flow cytometry. The expression of signal transducer and activator of transcription (STAT)3, cyclin D1, cytochrome c (cyt-c), caspase 9 and caspase 3 at the mRNA and protein level was determined using reverse transcription-polymerase chain reaction and western blotting. Treatment with 17-AAG at a concentration of 1.25–20 mg/l for 24 and 48 h significantly inhibited the proliferation of HCT-116 cells in a time-dependent and concentration-dependent manner. Treatment with 17-AAG at concentrations of 1.25, 2.5 and 5 mg/l for 48 h significantly induced apoptosis and cell cycle arrest in HCT-116 cells. Exposure to 17-AAG at concentrations of 1.25, 2.5 and 5 mg/l for 48 h significantly downregulated the mRNA and protein expression of STAT3 and cyclin D1, but upregulated cyt-c, caspase 9 and caspase 3 in a concentration-dependent manner in HCT-116 cells. Therefore 17-AAG is able to inhibit cell proliferation, inducing apoptosis and G1 stage cell cycle arrest by downregulating the expression of cyclin D1, and promoting the mitochondria apoptosis by downregulating STAT3 in HCT-116 cells.
Correlation of Human Age-Related Cataract with Some Blood Biochemistry Constituents

Purpose: The causes of age-related cataract are multifactorial and particular consideration has been given to the role of nutritional factors in cataract formation. The purpose of this study was to determine the levels of certain blood biochemistry constituents in cataract patients and controls and evaluate their potential, if any, as identifying risk factors in cataractogenesis. Methods: This is a case-control study where 155 cataract patients and 155 matched controls were chosen for evaluation. Cataract subjects were further divided into subgroups depending on the location of the cataract. All underwent routine eye examinations and blood samples were taken from each one for blood biochemistry analysis including serum levels of glucose, urea, cholesterol, triglycerides, total protein, albumin, bilirubin, calcium, sodium and potassium and the enzymes aspartate aminotransferase, alanine aminotransferase and alkaline phosphatase. Results: Mean levels of total protein, bilirubin, calcium, sodium, alanine aminotransferase and alkaline phosphatase differed significantly between patient and control groups. Patients with posterior subcapsular cataract had significantly higher glucose levels (p = 0.05) compared with patients with other types of cataract. It was also found that those patients with a cortical cataract had the highest level of urea, differing significantly from other subgroups and controls. Conclusions: The mean levels of all constituents under study fell within normal body range. However, the levels of several important factors demonstrated a positive and significant correlation with cataract. While we do not presume to present these results as conclusive, it is possible that a gradual and constant variation in these parameters may be predisposing factors in cataractogenesis.
Real-time control of attention and behavior in a logical framework

We describe a uniform technique for representing both sensory data and the attentional state of an agent using a subset of modal logic with indexicals. The resulting representation maps naturally into feed-forward parallel networks or can be implemented on stock hardware using bit-mask instructions. The representation has \circuit-semantics" (Rosenschein and Kaelbling 1986)(Nilsson 1994), but can e ciently represent propositions containing modals and unary predicates and functions. We describe an example using Kluge, a vision-based mobile robot, programmed to perform a fetch-and-deliver task.
Implications for your practice: Important changes in the 2014 guideline for the management of patients with atrial fibrillation

Abstract Atrial fibrillation (AF) is an increasingly common cardiac arrhythmia, currently affecting more than 5 million Americans. Management of patients with AF can be complex, with key strategies including selecting rhythm control versus heart rate control and reducing the patient’s risk of stroke or other systemic embolization. The American Heart Association, American College of Cardiology, and Heart Rhythm Society released 2014 Guideline for the Management of Patients with Atrial Fibrillation, which outlines several new recommendations with important clinical implications. Among these are a new recommendation to use the CHA2DS2-Vasc score for stroke risk assessment, rather than the previously advised CHADS2 score, expansion of anticoagulation options in selected patients, decreased emphasis on the role of aspirin, and an increased emphasis on the role of catheter ablation.
A novel forecasting algorithm for electric vehicle charging stations

In this paper, a recently proposed time series forecasting algorithm, Modified Pattern-based Sequence Forecasting (MPSF), is compared with three other algorithms. These algorithms have been applied to predict energy consumption at individual EV charging outlets using real world data from the UCLA campus. Two of these algorithms, namely MPSF and k-Nearest Neighbor (kNN), are relatively fast and structurally less complex. The other two, Support Vector Regression (SVR) and Random Forest (RF), are more complex and hence require more time to generate the forecast. Out of these four algorithms, kNN with k=1 turns out to be the fastest, MPSF and SVR were the most accurate with respect to different error measures, and RF provides us with an importance computing scheme for our input variables. Selecting the appropriate algorithm for an application depends on the tradeoff between accuracy and computational time; however, considering all factors together (two different error measures and algorithm speed), MPSF gives reasonably accurate predictions with much less computations than NN, SVR and RF for our application.
Rat Genome Database (RGD): mapping disease onto the genome

The Rat Genome Database (RGD, http://rgd.mcw.edu) is an NIH-funded project whose stated mission is 'to collect, consolidate and integrate data generated from ongoing rat genetic and genomic research efforts and make these data widely available to the scientific community'. In a collaboration between the Bioinformatics Research Center at the Medical College of Wisconsin, the Jackson Laboratory and the National Center for Biotechnology Information, RGD has been created to meet these stated aims. The rat is uniquely suited to its role as a model of human disease and the primary focus of RGD is to aid researchers in their study of the rat and in applying their results to studies in a wider context. In support of this we have integrated a large amount of rat genetic and genomic resources in RGD and these are constantly being expanded through ongoing literature and bulk dataset curation. RGD version 2.0, released in June 2001, includes curated data on rat genes, quantitative trait loci (QTL), microsatellite markers and rat strains used in genetic and genomic research. VCMap, a dynamic sequence-based homology tool was introduced, and allows researchers of rat, mouse and human to view mapped genes and sequences and their locations in the other two organisms, an essential tool for comparative genomics. In addition, RGD provides tools for gene prediction, radiation hybrid mapping, polymorphic marker selection and more. Future developments will include the introduction of disease-based curation expanding the curated information to cover popular disease systems studied in the rat. This will be integrated with the emerging rat genomic sequence and annotation pipelines to provide a high-quality disease-centric resource, applicable to human and mouse via comparative tools such as VCMap. RGD has a defined community outreach focus with a Visiting Scientist program and the Rat Community Forum, a web-based forum for rat researchers and others interested in using the rat as an experimental model. Thus, RGD is not only a valuable resource for those working with the rat but also for researchers in other model organisms wishing to harness the existing genetic and physiological data available in the rat to complement their own work.
Sexual compliance: Gender, motivational, and relationship perspectives

This paper provides a systematic review of research on sexual compliance in heterosexual relationships. Three perspectives shed light on which individuals are the most likely to comply with a sexually interested partner's desire for sex and why. A gender perspective highlights the common male‐female asymmetry in compliant sexual behavior and identifies factors that contribute to women's greater likelihood of being the sexually compliant partner. A motivational perspective distinguishes between approach and avoidance motives for compliance and considers the possible consequences of these motives for emotional reactions, sexual risk taking, and sexual violence. A relationship maintenance perspective views sexual compliance as illustrative of broader patterns of sacrifice in committed relationships. Each perspective suggests important new directions for empirical research.
SUSPECTS : enabling fast and effective prioritization of positional candidates

positional candidates Adie EA*, Adams RR, Evans KL, Porteous DJ and Pickard BS Medical Genetics Section, School of Molecular and Clinical Medicine, University of Edinburgh EH4 2XU, UK * To whom correspondence should be addressed at MMC, Western General Hospital, Crewe Road, Edinburgh EH4 2XU, UK © The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Use of Piezoelectric Shear Response in Adaptive Sandwich Shells of Revolution - Part 1: Theoretical Formulation

This work, in two parts, proposes a theoretical formulation (Part 1) and its finite element implementation (Part 2) for an adaptive sandwich shell of revolution that uses the transverse shear response of a piezoelectric core sandwiched between two elastic faces. For this, the former is assumed initially poled along the meridian but subjected to electric potentials on its fully electroded inner and outer surfaces. The model assumes the first-order shear deformation theory for each layer and enforces the displacement continuity conditions at the core to faces interfaces. Besides, the sandwich theory retains the shell transverse deflection together with the mean and relative tangential displacements and bending rotations of the elastic faces as mechanical independent variables. These are augmented by the electric potential in the piezoelectric core, in order to effectively consider the electromechanical coupling. Implementation and validation of the theoretical formulation developed in this part are presented in Part 2 of the paper.
Presence of Rhapidosomes in Various Species of Bacteria and Their Morphological Characteristics

Rod-shaped structures have been observed in cells of Pseudomonas, Photobacterium, Proteus, and Saprospira by use of the negative-contrast stain. These structures, referred to as rhapidosomes, appear to be normal components of these cells. Other bacteria including Escherichia, Salmonella, Shigella, Klebsiella, Micrococcus, Bacillus, Mycobacterium, Rhodospirillum, and Hydrogenomonas genera failed to reveal these structures. The rhapidosomes of Saprospira were found to consist of two rods, one encasing a narrower, longer structure. In contrast, the rhapidosomes of Pseudomonas, Proteus, and Photobacterium were without the rigid inner structure, but were occasionally seen filled with a homogeneous material as observed by the negative stain. Ultrathin sections of Pseudomonas cells indicate that these rhapidosomes are embedded within or are in close association with the nucleoplasm.
Effects of organoclay on the compatibility and interfacial phenomena of PE/EVA blends with UCST phase behavior

The compatibilization effects of organically modified nanoclay on the miscibility window, phase separation kinetics, biphasic morphology, interfacial tension, and final properties of polyethylene/ethylene vinyl acetate copolymer blends exhibiting UCST behavior have been investigated. Regardless of blend composition, intercalated nanoclay decreases the phase transition temperatures to lower values and changes the symmetry of phase diagram. The miscibility of PE and EVA phases in the amorphous regions of nanocomposites noticeably enhances and finer biphasic morphology is obtained by the incorporation of organoclay. The pinning influence of the nanofiller on polymer chain diffusion causes much slower phase separation kinetics for the nanocomposites. Similar to conventional compatibilizers such as block copolymers, the interfacial activity of nanoclay leads to a sharp decline in the interfacial tension of PE/EVA up to 2-orders of magnitude. Moreover, the results show that imposing restrictions on the phase separation phenomenon increases the impact strength of the virgin blend and related nanocomposite. However, this improvement has been much more noticeable in the presence of nanoparticles, which is due to the simultaneous roles of organoclay as an effective compatibilizer and reinforcement. POLYM. COMPOS. , 35:2329–2342, 2014. © 2014 Society of Plastics Engineers
Deterministic and Energy-Optimal Wireless Synchronization

We consider the problem of clock synchronization in a wireless setting where processors must minimize the number of times their radios are used to save energy. Energy efficiency is a central goal in wireless networks, especially if energy resources are severely limited, as occurs in sensor and ad hoc networks, and in many other settings. The problem of clock synchronization is fundamental and intensively studied in the field of distributed algorithms. In the current setting, the problem is to synchronize clocks of m processors that wake up in arbitrary time points, such that the maximum difference between wake-up times is bounded by a positive integer n. (Time intervals are appropriately discretized to allow communication of all processors that are awake in the same discrete time unit.) Currently, the best-known results for synchronization for single-hop networks of m processors is a randomized algorithm due to Bradonjic et al. [2009] of O(√n/m ṡ poly-log(n)) radio use times per processor, and a lower bound of Ω (√n/m). The main open question left in their work is to close the poly-log gap between the upper and the lower bound, and to derandomize their probabilistic construction and eliminate error probability. This is exactly what we do in this article. That is, we show a deterministic algorithm with radio use of Θ (√n/m), which exactly matches the lower bound proven in Bradonjic et al. [2009] to a small multiplicative constant. Therefore, our algorithm is optimal in terms of energy efficiency and completely resolves a long sequence of works in this area [Bradonjic et al. 2009; Moscribroda et al. 2006; McGlynn and Borbash 2001; Polastre et al. 2004]. Moreover, our algorithm is optimal in terms of running time as well. To achieve these results, we devise a novel adaptive technique that determines the times when devices power their radios on and off. This technique may be of independent interest. In addition, we prove several lower bounds on the energy efficiency of algorithms for multihop networks. Specifically, we show that any algorithm for multihop networks must have radio use of Ω (√n) per processor. Our lower bounds hold even for specific kinds of networks, such as networks modeled by unit disk graphs and highly connected graphs. Our results imply that the simple deterministic algorithm devised for two-processor networks in Bradonjic et al. [2009] with efficiency O(√n) can be used in multihop networks, and it is the most efficient solution in terms of energy use.
SPM-based data storage for ultrahigh density recording

The possibility of SPM-based data storage is described regarding both its recording density and readout speed for ultrahigh density data storage. We consider their gap control to achieve high-speed readout. Suitable SPM-based storages are selected and their details are studied. As a result, scanning near-field optical microscope (SNOM)- and atomic force microscope (AFM)-based storages are expected to be candidates for future storage. SNOM-based storage is for . AFM-based storage is for . Using new force modulation AFM pit recording, an ultrahigh recording density of and a readout speed of are demonstrated.
DGA-Based Botnet Detection Using DNS Traffic

In recent years, an increasing number of botnets use Domain Generation Algorithms (DGAs) to bypass botnet detection systems. DGAs, also referred as “domain fluxing”, has been used since 2004 for botnet controllers, and now become an emerging trend for malware. It can dynamically and frequently generate a large number of random domain names which are used to prevent security systems from detecting and blocking. In this paper, we present a new technique to detect DGAs using DNS NXDomain traffic. Our insight is that every domain name in the domain group generated by one botnet using DGAs is often used for a short period of time, and has similar live time and query style. We look for this pattern in DNS NXDomain traffic to filter out algorithmically generated domains that DGA-based botnets generate. We implemented our protosystem and carry outexperiment at a pilot RDNS of an Internet operator. The results show that our method is of good effectiveness on detecting algorithmically generated domains used by botnet.
Unsupervised Color Image Segmentation Based on Non Parametric Clustering

Many segmentation problems have been addressed using probabilistic modeling. These methods tend to estimate the region membership probabilities for each pixel of the image. The segmentation results depend strongly on the initialization of these regions and the selection of the appropriate number of segments. In this paper we present an unsupervised segmentation method based on non parametric clustering able to deal with these two issues. After a simple splitting, a minimum variance criterion is used to generate both the initial regions and their number. The proposed model was applied on various images (synthetic, natural) showing good visual results. Finally numerical experiments demonstrate the efficiency and the robustness of the proposed model compared to other segmentation methods.