Miracle-dz/UniFAR-FTUs huggingface dataset:
A Theoretical Agile Process Framework for Web Applications Development in Small Software Firms

As Web based-applications become increasingly important to all aspects of life, there is a need to encourage practitioners to adopt best practices so as to improve the quality of the processes in use, and therefore achieve targets related to time, budget and quality. The Web development industry worldwide is dominated by a myriad of small firms. This presents a challenge in terms of determining the current practices of industry participants, and in devising improvement initiatives which are feasible for small firms. The objectives of this research is to propose a software process model framework that assists the small firms in designing Web based-applications so as not to run over budget and time. To achieve these objectives, an extensive literature survey of Web development methodologies and software process improvement in small firms were conducted to identify Web engineering practice in Web development. The literature survey clarified that, there were several development methodologies of Web-based application. These studies have not taken into consideration software process improvements. A software process framework for Internet development in small firms is proposed in this research . This framework contains several steps to follow; the first step is to begin with small Web project. The second steps is adopt the modified XP process model which is also a suggested process model for Internet development in small firms, and then apply XXPM as a quality model for software process improvement. If the proposed software process framework is to be successful then it must be laid on Web engineering practices.
Fatigue lifetime assessment of aircraft engine disc based on multi-source information fusion

Fatigue lifetime assessment for an aircraft engine disc is important for the assessment of the engine reliability. This paper provides a new opinion to the fatigue lifetime assessment for aircraft engine disc based on the multi-source information fusion method using Bayesian inference. Subjective information quantifying method is used to transform the expert knowledge into prior distribution. Different expert prior distributions are characterized by consistent degree. The fusion factor is determined through a Bayesian version of Pearson's goodness-of-fit. This opinion effectively extends sample size and makes up the defects where the traditional methods in small sample fatigue lifetime assessment cannot.
Culture of osteoblasts on polyanionic collagen membranes: a preliminary evaluation of the potential for induction of bone tissue formation aiming for tissue repair

At present, There are a high of incidence of wounds promoted by traumas and mechanical shocks caused by different factors, characterized mainly by bone fractures. Of this way, exist an interest in the development of biomaterials that can be used as implants in bone tissue for bone repair. Three-dimensional extracellular matrices composed of collagen present the advantage of be able to will be modified in his physiological and mechanical estates by physical or chemical approaches, resulting in positive or negatively loaded matrices. The present work is going to evaluate the capacity of the three-dimensional membranes of native and polyanionic collagen in the fractures consolidation trial with loss of bone mass. We used osteoblasts cultured on those biomateriais before of its implants in the skull of Rowett nude lineage mice. We observe that the osteoblasts cultured on polyanionic collagen were capable to form a bone-like tissue structure in the membranes and fill the damaged area in implants carried out in animals. We conclude that the polyanionic collagen membranes are a viable alternative for the tissue reconstruction and engineering.
Effects of massage on limb and skin blood flow after quadriceps exercise.

PURPOSE At present, there is little scientific evidence that postexercise manual massage has any effect on the factors associated with the recovery process. The purpose of this study was to compare the effects of massage against a resting control condition upon femoral artery blood flow (FABF), skin blood flow (SKBF), skin (SKT), and muscle (MT) temperature after dynamic quadriceps exercise. METHODS Thirteen male volunteers participated in 3 x 2-min bouts of concentric quadriceps exercise followed by 2 x 6-min bouts of deep effleurage and pétrissage massage or a control (rest) period of similar duration in a counterbalanced fashion. Measures of FABF, SKBF, SKT, MT, blood lactate concentration (BLa), heart rate (HR), and blood pressure (BP) were taken at baseline, immediately after exercise, as well as at the midpoint and end of the massage/rest periods. Data were analyzed by two-way ANOVA. RESULTS Significant main effects were found for all variables over time due to effects of exercise. Massage to the quadriceps did not significantly elevate FABF (end-massage 760 +/- 256 vs end-control 733 +/- 161 mL x min(-1)), MT, BL, HR, and BP over control values (P < 0.05). SKBF (end-massage 150 +/- 49 vs end control 6 +/- 4 au) SKT (end-massage 32.2 +/- 0.9 vs end-control 31.1 +/- 1.3degreesC) were elevated after the application of massage compared with the control trial (P < 0.05). CONCLUSION From these data it is proposed that without an increase in arterial blood flow, any increase in SKBF is potentially diverting flow away from recovering muscle. Such a response would question the efficacy of massage as an aid to recovery in postexercise settings.
Phase II Trial of Weekly Docetaxel/Irinotecan Combination in Advanced Pancreatic Cancer

Background:Docetaxel and irinotecan have activity in pancreatic cancer. The combination of docetaxel and irinotecan is attractive because of preclinical evidence of synergy between the two drugs. We have previously demonstrated the safety of docetaxel 35 mg/m2 and irinotecan 50 mg/m2 given on days 1, 8, 15, and 21 of a 35-day schedule. Patients and Methods:Patients who had unresectable or metastatic adenocarcinoma of the pancreas, bidimensionally measurable disease, Eastern Cooperative Oncology Group (ECOG) performance status 0–2, and normal bilirubin levels were eligible. Tumor assessment was performed with computed tomography, computed tomographic angiography, or magnetic resonance imaging every 2 cycles. Response was graded according to World Health Organization criteria. Results:We enrolled 37 eligible patients. Principal grade 3/4 toxicities were diarrhea (21%), neutropenia (30%), and hyperglycemia (30%). There were 3 patients with febrile neutropenia and no toxic deaths. There were 4 early deaths. Among 36 evaluable patients, 9 (24%) attained a partial response and 1 (3%) attained a complete response for an objective response rate of 27%. One patient enrolled because she had been deemed to have unresectable disease but then underwent resection with negative margins after attaining a confirmed partial response. Median survival for all eligible patients is 9.4 months (range 0–68+ months) with minimum follow-up for surviving patients of 23.4 months. One-year survival is 43%. The patient who attained a complete response is alive with recurrent disease at 68 months. Conclusions:The docetaxel/irinotecan combination given on a weekly schedule is an active treatment for advanced pancreatic cancer.
Strength Capacity and Cardiometabolic Risk Clustering in Adolescents

OBJECTIVES: The purpose of this study was to determine the gender-specific independent association between muscular strength and cardiometabolic risk clustering in a large cohort (n = 1421) of children. METHODS: Principal component analysis was used to determine the pattern of risk clustering and to derive a continuous aggregate score (MetScore) from various cardiometabolic risk components: percent body fat (%BF), fasting glucose, blood pressure, plasma triglycerides levels, and HDL-cholesterol. Gender-stratified risk and MetScore were assessed by using general linear models and logistic regression for differences between strength tertiles, as well as independent associations with age, BMI, estimated cardiorespiratory fitness (CRF), physical activity, and muscular strength (normalized for body mass). RESULTS: In both boys (n = 670) and girls (n = 751), there were significant differences in cardiometabolic profiles across strength tertiles, such that stronger adolescents had lower overall risk. Age, BMI, cardiorespiratory fitness, physical activity participation, and strength were all individually correlated with multiple risk components, as well as the overall MetScore. However, in the adjusted model, only BMI (β = 0.30), physical inactivity (β = 0.30), and normalized strength capacity (β = –1.5) emerged as significant (P < .05) predictors of MetScore. %BF was the strongest loading coefficient within the principal component analysis–derived MetScore outcome. CONCLUSIONS: Normalized strength is independently associated with lower cardiometabolic risk in boys and girls. Moreover, %BF was associated with all cardiometabolic risk factors and carried the strongest loading coefficient. These findings bolster the importance of early strength acquisition and healthy body composition in childhood.
Finding english and translated Arabic documents similarities using GHSOM

The idea of finding similar news across Arabic and English sources is that to provide the audience with multiple views of the broadcasted news because reading the news from a single source may not always reflects on what happening around the world due different background, cultures and opinions of the readers and writers. To achieve this goal there are many techniques have been used to cluster the documents with similar themes. In this paper, we analyze the similarity of the views on the news written in the news translations form Arabic and English texts using self-organizing map (SOM). However, we have found there are some difficulties in SOM that affect its performance. In order to improve the problems of performance, we have used a growing hierarchical self-organizing map (GHSOM). The main advantage of such a mapping is the ease by which a user gains an idea regarding the structure of the data by analyzing the map. Thousands of news documents have been collected from Arabic and English news sources from the Web in order to train both algorithms. Form experiments, the results show that using GHSOM is better in terms of clustering documents with the same opinions.
Multiclass-Multilabel Classification with More Classes than Examples

We discuss multiclass-multilabel classification problems in which the set of classes is extremely large. Most existing multiclass-multilabel learning algorithms expect to observe a reasonably large sample from each class, and fail if they receive only a handful of examples per class. We propose and analyze the following two-stage approach: first use an arbitrary (perhaps heuristic) classification algorithm to construct an initial classifier, then apply a simple but principled method to augment this classifier by removing harmful labels from its output. A careful theoretical analysis allows us to justify our approach under some reasonable conditions (such as label sparsity and power-law distribution of class frequencies), even when the training set does not provide a statistically accurate representation of most classes. Surprisingly, our theoretical analysis continues to hold even when the number of classes exceeds the sample size. We demonstrate the merits of our approach on the ambitious task of categorizing the entire web using the 1.5 million categories defined on Wikipedia.
TWO-QUBIT MIXED STATES AND THE ENTANGLEMENT-ENTROPY FRONTIER

TZU-CHIEH WEI, KAE NEMOTO, PAUL M. GOLDBART, PAUL G. KWIAT, WILLIAM J. MUNRO, AND FRANK VERSTRAETE Department of Physics, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, Illinois 61801-3080, USA Informatics, Bangor University, Bangor LL57 1UT, UK Hewlett-Packard Laboratories, Filton Road, Stoke Gifford, Bristol, BS34 SQ2, UK Department of Mathematical Physics and Astronomy, Ghent University, Belgium
Pituitary autoimmunity is associated with hypopituitarism in patients with primary empty sella

Objective: Some evidence suggests that late stage autoimmune hypophysitis (AH) may result in empty sella (ES). Aim of the study was to assess the prevalence of serum pituitary antibodies (PitAb) and their correlation with pituitary function in patients with ES. Design: In this case-control study 85 patients with primary ES, 16 patients with ES secondary to head trauma, 214 healthy controls, and 16 AH were enrolled in a tertiary referral center. Methods: PitAb were assessed in all cases and controls. Endocrine function was assessed by basal hormone measurement and dynamic testing in all ES cases. Results: PitAb prevalence was higher in primary ES (6%) than in healthy subjects (0.5% p=0.003) and lower than in AH patients (50%, p<0.0001). PitAb were not found in patients with secondary ES. Hypopituitarism was found in 49% of primary ES and in 62% of secondary ES (p=0.34). A positive correlation between the presence of PitAb and hypopituitarism was found in primary ES (p=0.02). Conclusions: The significant association between pituitary autoimmunity and hypopituitarism suggests that ES, in selected cases, could be the final result of AH.
Functional Profiling Reveals That Only a Small Number of Phytochrome-Regulated Early-Response Genes in Arabidopsis Are Necessary for Optimal Deetiolation[W]

In previous time-resolved microarray-based expression profiling, we identified 32 genes encoding putative transcription factors, signaling components, and unknown proteins that are rapidly and robustly induced by phytochrome (phy)-mediated light signals. Postulating that they are the most likely to be direct targets of phy signaling and to function in the primary phy regulatory circuitry, we examined the impact of targeted mutations in these genes on the phy-induced seedling deetiolation process in Arabidopsis thaliana. Using light-imposed concomitant inhibition of hypocotyl and stimulation of cotyledon growth as diagnostic criteria for normal deetiolation, we identified three major mutant response categories. Seven (22%) lines displayed statistically significant, reciprocal, aberrant photoresponsiveness in the two organs, suggesting disruption of normal deetiolation; 13 (41%) lines displayed significant defects either unidirectionally in both organs or in hypocotyls only, suggesting global effects not directly related to photomorphogenic signaling; and 12 (37%) lines displayed no significant difference in photoresponsiveness from the wild type. Potential reasons for the high proportion of rapidly light-responsive genes apparently unnecessary for the deetiolation phenotype are discussed. One of the seven disrupted genes displaying a significant mutant phenotype, the basic helix-loop-helix factor–encoding PHYTOCHROME-INTERACTING FACTOR3-LIKE1 gene, was found to be necessary for rapid light-induced expression of the photomorphogenesis- and circadian-related PSEUDO-RESPONSE REGULATOR9 gene, indicating a regulatory function in the early phy-induced transcriptional network.
Equilibrium Investment Strategies and Output Price Behavior: A Real-Options Approach

The effects of competitive interactions on investment decisions and on the dynamics of the price of a nonstorable commodity are studied in a model of incremental investment with time to build and operating flexibility. I find that an increase in uncertainty may encourage firms to increase their capacity. Furthermore, I show that it may be optimal to invest in additional capacity during periods in which part of the operational capacity is not being utilized. The impact of competition on the properties of the endogenous output price is dramatic. For example, I find that price volatility may be increasing in the number of competitors in the industry. Copyright 2003, Oxford University Press.
Molecular epidemiologic analysis of Mycobacterium bovis isolates from Mexico.

OBJECTIVE To assess phylogenetic relationships among Mycobacterium bovis isolates by use of random amplified polymorphic DNA polymerase chain reaction (RAPD-PCR) fingerprinting and to relate genetic profiles of isolates to epidemiologic characteristics. ANIMALS 400 cattle with tuberculosis. PROCEDURE Mycobacterium bovis was isolated from various organs of cattle slaughtered in 6 geographic regions of Mexico. Most cattle were adult Holsteins from large herds that did not participate in a tuberculosis control program. Four random primers and 2 selected primers were used in RAPD-PCR fingerprinting of 88 isolates. Pairwise genetic distance between isolates was obtained and subjected to cluster analysis with bootstrapping to test for levels of support. RESULTS 98 different fragments were obtained; there was broad genetic diversity among isolates, and each isolate had a unique RAPD-genotype, including those originating from the same herd. Clustering by geographic location, affected organ, or severity of lesion was not detected. Linkage disequilibrium analysis suggested that M. bovis was highly clonal and that mutations develop at a rapid rate among isolates. CONCLUSIONS AND CLINICAL RELEVANCE Use of RAPD-PCR could not differentiate M. bovis isolates by epidemiologic characteristics or identify common sources of infection.
Iteratively Detected Generalised MC DS-CDMA Using Layered Steeered Space-Time Spreading

We present a novel tri-functional Multiple-Input Multiple-Output (MIMO) scheme that intrinsically amalgamates Space-Time Spreading (STS), the Vertical Bell Labs Layered Space-Time (V-BLAST) scheme and beamforming with generalised MultiCarrier Direct Sequence Code Division Multiple Access (MC DS-CDMA). Further system performance improvements can be attained by employing channel coding, where the source bits are serial-to-parallel converted to two layers, each constituted by a serial concatenation of an outer code amalgamated with a unity-rate code for the sake of improving the convergence behaviour of the proposed system. Additionally, the convergence behaviour of the iteratively detected scheme is evaluated with the aid of Extrinsic Information Transfer (EXIT) charts. We also propose a novel Logarithmic Likelihood Ratio (LLR) postprocessing technique for improving the iteratively detected system's performance. Explicitly, after I=10 decoding iterations and employing an interleaver depth of Dint=160, 000 bits, the proposed system supporting K=4 users attains a BER below 10-5 for Eb/No values in excess of -2.8 dB.
Microsatellite instability in colorectal cancer

Microsatellite instability in colorectal cancer Background. Colorectal cancer (CRC) is the third most common cancer in the world. In 75% CRC develops sporadically, in 25% hereditary or as a consequence of inflammatory bowel disease. CRC carcinogenesis develops over many years. The cause of CRC in 85% is chromosomal instability (CIN) and in 15% microsatellite instability (MSI-H), where hereditary nonpolyposis colorectal cancer (HNPCC) represents 10-20%. Microsatellite sequences (MS) are repeated sequences of short stretches of DNA all over the genome. Microsatellite stability (MSS) means MS are the same in each cell of an individual, whereas microsatellite instability (MSI-H) means MS differ in normal and cancer cells of an individual. The cause of MSI-H is a damaged mismatch repair mechanism (MMR), with the most important MMR proteins being MSH2, MLH1 and MSH6. Conclusions. MSI-H seems to be an important prognostic factor in CRC and an important predictive factor of CRC chemotherapeutic treatment efficacy. Clinical trials conducted until now have shown contradictory findings in different chemotherapeutic settings, adjuvant and palliative; therefore MSI-H is going to be the object of the future research. The future of cancer treatment is in the individualized therapy based on molecular characteristics of the tumour, such as MSI-H in CRC.
Psychological Distress and Post-Traumatic Symptoms Following Occupational Accidents

Depression and post-traumatic stress disorder frequently occur as a consequence of occupational accidents. To date, research has been primarily focused on high-risk workers, such as police officers or firefighters, and has rarely considered individuals whose occupational environment involves the risk of severe, but not necessarily life-threatening, injury. Therefore, the present study was aimed at assessing the psychological consequences of accidents occurring in several occupational settings (e.g., construction and industry). Thirty-eight victims of occupational accidents (injured workers) and 38 gender-, age-, and years of education-matched workers who never experienced a work accident (control group) were recruited. All participants underwent a semi-structured interview administered by a trained psychologist, and then were requested to fill in the questionnaires. Injured workers reported more severe anxious, post-traumatic and depressive symptoms, and poorer coping skills, as compared to controls. In the injured group low levels of resilience predicted post-traumatic symptomatology, whereas the degree of physical injury and the length of time since the accident did not play a predictive role. The results suggest that occupational accidents may result in a disabling psychopathological condition, and that a brief psychological evaluation should be included in the assessment of seriously injured workers.
Unsupervised and Transfer Learning under Uncertainty - From Object Detections to Scene Categorization

Classifying scenes (e.g. into “street”, “home” or “leisure”) is an important but complicated task nowadays, because images come with variability, ambiguity, and a wide range of illumination or scale conditions. Standard approaches build an intermediate representation of the global image and learn classifiers on it. Recently, it has been proposed to depict an image as an aggregation of its contained objects:the representation on which classifiers are trained is composed of many heterogeneous feature vectors derived from various object detectors. In this paper, we propose to study different approaches to efficiently combine the data extracted by these detectors. We use the features provided by Object-Bank (Li-Jia Li and Fei-Fei, 2010a) (177 different object detectors producing 252 attributes each), and show on several benchmarks for scene categorization that careful combinations, taking into account the structure of the data, allows to greatly improve over original results (from +5% to +11%) while drastically reducing the dimensionality of the representation by 97% (from
Targeting Cortical Representations in the Treatment of Chronic Pain

Recent neuroscientific evidence has confirmed the important role of cognitive and behavioral factors in the development and treatment of chronic pain. Neuropathic and musculoskeletal pain are associated with substantial reorganization of the primary somatosensory and motor cortices as well as regions such as the anterior cingulate cortex and insula. What is more, in patients with chronic low back pain and fibromyalgia, the amount of reorganizational change increases with chronicity; in phantom limb pain and other neuropathic pain syndromes, cortical reorganization correlates with the magnitude of pain. These findings have implications for both our understanding of chronic pain and its prevention and treatment. For example, central alterations may be viewed as pain memories that modulate the processing of both noxious and nonnoxious input to the somatosensory system and outputs of the motor and other response systems. The cortical plasticity that is clearly important in chronic pain states also offers potential targets for rehabilitation. The authors review the cortical changes that are associated with chronic pain and the therapeutic approaches that have been shown to normalize representational changes and decrease pain and discuss future directions to train the brain to reduce chronic pain.