Miracle-dz/UniFAR-FTUs huggingface dataset:
Pursuing Attainment versus Maintenance Goals: The Interplay of Self-Construal and Goal Type on Consumer Motivation

This research examines how self-construal (i.e., independent vs. interdependent) and goal type (i.e., attainment vs. maintenance) are conceptually linked and jointly impact consumer behavior. The results of five experiments and one field study involving different operationalizations of self-construal and goal pursuit activities suggest that attainment (maintenance) goals can be more motivating for participants with a more independent (interdependent) self-construal and that differences in salient knowledge about pursuing the goals are one potential mechanism underlying this effect. This interaction effect was found within a single culture, between cultures, when self-construal was experimentally manipulated or measured, and when potential confounding factors like regulatory focus were controlled for. The effect was also found to impact consumer behavior in real life—self-construal, as reflected by the number of social ties consumers had, impacted the likelihood that they opted to reduce versus maintain their bodyweight. Further, after setting their goal, consumers who were more independent exhibited more (less) motivation, as measured by the amount of money they put at stake, when their goal was weight reduction (maintenance). These findings shed light on the relationship between self-construal and goal type, and offer insights, to both consumers and managers, on how to increase motivation for goal pursuit.
Can Radiotherapy Be Omitted in Children With Hodgkin Lymphoma Who Achieve Metabolic Remission on Interim Positron Emission Tomography? Experience of a Tertiary Care Cancer Referral Center

Purpose Treating pediatric Hodgkin lymphoma (HL) involves a delicate balance between cure and reducing late toxicity. Fluorodeoxyglucose positron emission tomography (PET) combined with computed tomography (CT) identifies patients with early response to chemotherapy, for whom radiotherapy may be avoided. The role of PET-CT in upfront risk stratification and response–adapted treatment is evaluated in this study. Methods Patients with HL, who were younger than 18 years, were included. PET-CT was performed at baseline and after two cycles of chemotherapy. Patients were stratified into three risk groups: group 1 (stage I or II with no unfavorable features); group 2 (stage I or II with bulky disease/B symptoms); and group 3 (stage III/IV). A doxorubicin, bleomycin, vinblastine, dacarbazine–based regimen was used in early disease. A cyclophosphamide, vincristine, prednisolone, procarbazine, doxorubicin, bleomycin, vinblastine–based regimen was used in advanced disease. Results Forty-nine patients were included. Fifteen (31%), seven (14%), and 27 (55%) patients were included in groups 1, 2, and 3, respectively. Among 36 patients who underwent staging by PET-CT at diagnosis, seven (19%) patients were upstaged and one (3%) patient was downstaged by PET compared with CT. On the basis of negative interim PET responses, 39 (80%) patients were treated without radiotherapy. The 3-year event-free survival for the entire cohort was 91% (± 5.2%) and overall survival was 100%. Conclusion PET-CT is an excellent stand-alone staging modality in HL. The omission of radiotherapy can be considered in patients who achieve metabolic remission on interim PET.
Sheffield Systems for the Finnish-English WMT Translation Task

This paper provides an overview of the Sheffield University submission to the WMT15 Translation Task for the FinnishEnglish language pair. The submitted translations were created from a system built using the CDEC decoder. Finnish is a morphologically rich language with elements such as nouns and verbs carrying a large number of inflectional types. Consequently, our improvements are based on morphology and include preprocessing steps to handle of morphological inflections inherent in the language, and which otherwise result in lexical sparsity and loss of information.
A microcontroller-based PVT control system for a 65nm 72Mb synchronous SRAM

As scaling of silicon CMOS technology continues more challenges emerge in dealing with process variations. In SRAMs process variations directly affect operating margin, subthreshold leakage and speed. Previous schemes were used to address operating margin problems using body bias [1] and adaptive cell biasing [2]. To address variation problems effectively, on-chip power supplies must be separated and individually controlled. In this case the SRAM chip has 4 independent power domains: memory core, periphery logic, analog circuits and I/O's. This paper introduces a manufacturable scheme to control speed distribution while managing leakage current. A similar post silicon tuning technique was used [3] which utilizes body bias trimming to improve parametric yield, but it doesn't address leakage control or speed improvement. The gate density at 65nm makes it possible to design a digital control system embedding a microcontroller without significant die size impact. The scheme utilizes the microcontroller and on-chip test structures to calibrate body bias and supply voltage at wafer sort. The digital system includes a temperature sensor used to adjust body bias levels dynamically in the field to compensate for real time temperature variations. The PVT control system including the temperature sensor and test structures occupies 0.32mm2, which represents 0.4% of the 72Mb die size, this area excludes voltage references and regulators.
A Longitudinal Examination of Bidirectional Associations between Subjective Sleep Characteristics and Psychosocial Functioning among University Students

A number of studies have found a significant link b etween sleep and psychosocial functioning among university students. A critical e xamination of this literature, however, indicates that one important gap within the literat u e is the need for longitudinal studies that specifically test for bidirectional associatio ns between these two constructs. The main purpose of my dissertation was to address this gap by conducting three studies that examined bidirectional associations between sleep a nd psychosocial functioning among a sample of university students. Participants were 94 2 (71.5% female) undergraduate students enrolled at a Canadian university, who com pleted survey assessments annually for three consecutive years, beginning in their fir st year of university. In the first study, I assessed bidirectional associations between two sle ep characteristics (sleep quality and sleep duration) and three psychosocial functioning variables (academics, friendship quality, and intrapersonal adjustment). Results bas ed on cross-lagged models indicated a significant bidirectional association between sleep quality and intrapersonal adjustment, such that more sleep problems predicted more negati v intrapersonal adjustment over time, and vice versa. Unidirectional associations i ndicated that both higher academic achievement and more positive friendship quality we re significant predictors of less sleep problems over time. In the second study, in which I examined bidirectional associations between sleep and media use, results provided suppo rt only for unidirectional associations; such that more sleep problems predict ed ncreases in both time spent watching television and time spent engaged in onlin e social networking. In the third study of my dissertation, in which I examined social ties at university and sleep quality, results indicated a significant bidirectional association, such that more positive social ties predicted less sleep problems over time, and vice v ersa. Importantly, emotion regulation was a significant mediator of this association. Fin dings across the three studies, highlight the importance of determining the direction of effe cts between different sleep characteristics and various aspects of university s tudents’ psychosocial functioning, as such findings have important implications for both methodology and practice. A better understanding of the nature of the associations bet ween sleep and psychosocial functioning will equip students, parents and univer sity administrators with the tools necessary to facilitate successful adjustment acros s the university years.
Predictive factors for lower extremity amputations in diabetic foot infections

The objective of this study was to evaluate the epidemiology of diabetic foot infections (DFIs) and its predictive factors for lower extremity amputations. A prospective study of 100 patients with DFIs treated at the National University Hospital of Singapore were recruited in the study during the period of January 2005–June 2005. A protocol was designed to document patient's demographics, type of DFI, presence of neuropathy and/or vasculopathy and its final outcome. Predictive factors for limb loss were determined using univariate and stepwise logistic regression analysis. The mean age of the study population was 59.8 years with a male to female ratio of about 1:1 and with a mean follow-up duration of about 24 months. All patients had type 2 diabetes mellitus. Common DFIs included abscess (32%), wet gangrene (29%), infected ulcers (19%), osteomyelitis (13%), necrotizing fasciitis (4%) and cellulitis (3%). Thirteen patients were treated conservatively, while surgical debridement or distal amputation was performed in 59 patients. Twenty-eight patients had major amputations (below or above knee) performed. Forty-eight percent had monomicrobial infections compared with 52% with polymicrobial infections. The most common pathogens found in all infections (both monomicrobial and polymicrobial) were Staphylococcus aureus (39.7%), Bacteroides fragilis (30.3%), Pseudomonas aeruginosa (26.0%) and Streptococcus agalactiae (21.0%). Significant univariate predictive factors for limb loss included age above 60 years, gangrene, ankle-brachial index (ABI) <0.8, monomicrobial infections, white blood cell (WBC) count ≥ 15.0×109/L, erythrocyte sedimentation rate ≥100 mm/hr, C-reactive protein ≥15.0 mg/dL, hemoglobin (Hb) ≤10.0g/dL and creatinine ≥150 µmol/L. Upon stepwise logistic regression, only gangrene, ABI <0.8, WBC ≥ 15.0×109/L and Hb ≤10.0g/dL were significant.
Avian Coronavirus in Wild Aquatic Birds

ABSTRACT We detected a high prevalence (12.5%) of novel avian coronaviruses in aquatic wild birds. Phylogenetic analyses of these coronaviruses suggest that there is a diversity of gammacoronaviruses and deltacoronaviruses circulating in birds. Gammacoronaviruses were found predominantly in Anseriformes birds, whereas deltacoronaviruses could be detected in Ciconiiformes, Pelecaniformes, and Anseriformes birds in this study. We observed that there are frequent interspecies transmissions of gammacoronaviruses between duck species. In contrast, deltacoronaviruses may have more stringent host specificities. Our analysis of these avian viral and host mitochondrial DNA sequences also suggests that some, but not all, coronaviruses may have coevolved with birds from the same order.
The New Age Movement: The Celebration of the Self and the Sacralization of Modernity

List of Illustrations. Acknowledgements. Introduction. PART I. PORTRAYAL. 1. Manifestations. 2. Developments. 3. The New. 4. Significance. PART II. APPEAL. 5. Uncertainties of Modernity. 6. Certainties of Modernity. PART III. EFFECTIVENESS. 7. Sel-Understanding. 8. The Future. Appendices: (1) Characterizations of the New Age (2) Before and After Exegesis. References. Index.
Resiliency Factors And Pathways To Incarceration In Female Survivors Of Childhood Sexual Abuse

Studies find consistently that survivors of childhood sexual abuse (CSA) are likely to suffer from depression, post-traumatic stress, and problematic substance use, and may experience also a variety of adjustment difficulties in several emotional, behavioral, and interpersonal domains. Involvement with the legal system is one such outcome to consider, especially given the increasing number of women serving time in correctional facilities with nearly two-thirds of these women being survivors of CSA (e.g., Browne, Miller, & Maguin, 1999). The current literature lacks comparisons between female survivors of CSA who have legal involvement and those who do not; hence, the current study addresses the need for a comprehensive investigation of early victimizations and later adjustment. Data were obtained from 169 female inmates and 420 female college students, a number of whom were survivors of CSA (66% and 35.5%, respectively), so that group differences could be examined and relationships among family environment, abuse disclosure history, coping, perceived social support, adjustment (i.e., trauma symptoms, substance abuse, depressive symptomatology, revictimization), and criminal history could be explored. Results suggested that inmate survivors experience poorer functioning overall relative to student survivors of CSA, including more depressive symptoms, trauma symptoms, and substance abuse. Further, avoidance coping by using substances mediated fully the relationship between trauma symptoms and substance abuse for both groups. Finally, severity of CSA, problematic substance use, and social support emerged as significant predictors of incarceration among survivors of CSA. Findings may aid in the refinement of interventions, prevention efforts, and educational programs regarding CSA, and shed light on pathways to incarceration.
Algorithm for Automatic Interpretation of Noun Sequences

This paper describes an algorithm for automatically interpreting noun sequences in unrestricted text. This system uses broadcoverage semantic information which has been acquired automatically by analyzing the definitions in an on-line dictionary. Previously, computational studies of noun sequences made use of hand-coded semantic information, and they applied the analysis rules sequentially. In contrast, the task of analyzing noun sequences in unrestricted text strongly favors an algorithm according to which the rules are applied in parallel and the best interpretation is determined by weights associated with rule applications.
User Profile Matching in Social Networks

Inter-social networks operations and functionalities are required in several scenarios (data integration, data enrichment, information retrieval, etc.). To achieve this, matching user profiles is required. Current methods are so restrictive and do not consider all the related problems. Particularly, they assume that two profiles describe the same physical person only if the values of their Inverse Functional Property or IFP (e.g. the email address, homepage, etc.) are the same. However, the observed trend in social networks is not fully compatible with this assumption since users tend to create more than one social network account (for personal use, for work, etc.) while using same or different email addresses. In this work, we address the problem of matching user profiles in its globality by providing a suitable matching framework able to consider all the profile’s attributes. Our framework allows users to give more importance to some attributes and assign each attribute a different similarity measure. The set of experiments conducted with our default/recommended attribute/similarity measures shows the superiority of our proposal in comparison with current ones.
Tractable reserve scheduling in AC power systems with uncertain wind power generation

This paper presents a solution method for a day-ahead stochastic reserve scheduling (RS) problem using an AC optimal power flow (OPF) formulation. Such a problem is known to be non-convex and in general hard to solve. Existing approaches follow either linearized (DC) power flow or iterative approximation of nonlinearities, which may lead to either infeasibility or computational intractability. In this paper we present two new ideas to address this problem. We first develop an algorithm to determine the level of reserve requirements using vertex enumeration (VE) on the deviation of wind power scenarios from its forecasted value. We provide a theoretical result on the level of reliability of a solution obtained using VE. Such a solution is then incorporated in RS-OPF problem to determine up- and down-spinning reserves by distributing among generators, and relying on the structure of constraint functions with respect to the uncertain parameters. As a second contribution, we use the sparsity pattern of the power system to reduce computational time complexity. We then provide a novel recovery algorithm to find a feasible solution for the RS-OPF problem from the partial solution which is guaranteed to be rank-one. The IEEE 30 bus system is used to verify theoretical developments together with a comparison with DC counterpart using Monte Carlo simulations.
Whiskerbot: A Robotic Active Touch System Modeled on the Rat Whisker Sensory System

The Whiskerbot project is a collaborative project between robotics engineers, computational neuroscientists and ethologists, aiming to build a biologically inspired robotic implementation of the rodent whisker sensory system. The morphology and mechanics of the large whiskers (macro-vibrissae) have been modeled, as have the neural structures that constitute the rodent central nervous system responsible for macro-vibrissae sensory processing. There are two principal motivations for this project. First, by implementing an artificial whisker sensory system controlled using biologically plausible neural networks we hope to test existing models more thoroughly and develop new hypotheses for vibrissal sensory processing. Second, the sensory mode of tactile whiskers could be useful for general mobile robotic sensory deployment. In this article the robotic platform that has been built is detailed as well as some of the experiments that have been conducted to test the neural control algorithms and architectures inspired from neuroethological observations to mediate adaptive behaviors.
Strigolactones Are Transported through the Xylem and Play a Key Role in Shoot Architectural Response to Phosphate Deficiency in Nonarbuscular Mycorrhizal Host Arabidopsis1[C][W][OA]

The biosynthesis of the recently identified novel class of plant hormones, strigolactones, is up-regulated upon phosphate deficiency in many plant species. It is generally accepted that the evolutionary origin of strigolactone up-regulation is their function as a rhizosphere signal that stimulates hyphal branching of arbuscular mycorrhizal fungi. In this work, we demonstrate that this induction is conserved in Arabidopsis (Arabidopsis thaliana), although Arabidopsis is not a host for arbuscular mycorrhizal fungi. We demonstrate that the increase in strigolactone production contributes to the changes in shoot architecture observed in response to phosphate deficiency. Using high-performance liquid chromatography, column chromatography, and multiple reaction monitoring-liquid chromatography-tandem mass spectrometry analysis, we identified two strigolactones (orobanchol and orobanchyl acetate) in Arabidopsis and have evidence of the presence of a third (5-deoxystrigol). We show that at least one of them (orobanchol) is strongly reduced in the putative strigolactone biosynthetic mutants more axillary growth1 (max1) and max4 but not in the signal transduction mutant max2. Orobanchol was also detected in xylem sap and up-regulated under phosphate deficiency, which is consistent with the idea that root-derived strigolactones are transported to the shoot, where they regulate branching. Moreover, two additional putative strigolactone-like compounds were detected in xylem sap, one of which was not detected in root exudates. Together, these results show that xylem-transported strigolactones contribute to the regulation of shoot architectural response to phosphate-limiting conditions.
Affordability, Financial Innovation, and the Start of the Housing Boom

At their peak in 2005, roughly 60 percent of all purchase mortgage loans originated in the United States contained at least one non-traditional feature. These features, which allowed borrowers easier access to credit through teaser interest rates, interest-only or negative amortization periods, and extended payment terms, have been the subject of much regulatory and popular criticism. In this paper, we construct a novel county-level dataset to analyze the relationship between rising house prices and non-traditional features of mortgage contracts. We apply a break-point methodology and find that in housing markets with breaks in the mid-2000s, a strong rise in the use of non-traditional mortgages preceded the start of the housing boom. Furthermore, their rise was coupled with declining denial rates and a shift from FHA to subprime mortgages. Our findings support the view that a change in mortgage contract availability and a shift toward subprime borrowers helped to fuel the rise of house prices during the last decade.
HALL'S PROFESSIONALISM SCALE: AN EMPIRICAL REASSESSMENT *

A growing number of sociologists seek to determine appropriate criteria and measurement of individuals' professional standing. One notable attempt in this regard has been the professionalism scale recently developed and employed by Richard Hall. Using Likert scaling procedures, Hall measured five attitudinal components of professionalism: use of the professional organization as a major referent, belief in public service, belief in self regulation, sense of calling to the field, and a feeling of autonomy. By using rotated factor matrices, I assessed the empirical "fit" of Hall's items as they relate to each of the five above theoretical dimensions of professionalism. I suggest how such a "fit" might be improved. I consider the near term desirability of using a shorter version of Hall's original scale for both stratified and total scale reliability. The data analyzed are those of vastly diverse study populations collected by both Hall and me.
Aggressive Behavior among the University Students

Aims : This study aimed to identify the degree of aggressive behavior among the university students. Study Design : This study used the analytical descriptive design. Place and Duration of Study : The study was conducted at Tafila Technical University, Hashemite Kingdom of Jordan; in the second semester of the academic year 2013. Methodology : The study sample consisted of 690 students who were chosen from 5 colleges at the university. The study sample was selected by randomly stratified depending on gender and college. In order to collect data about the aggressive behavior, the researcher used a questionnaire prepared by the researcher herself to identify the aggressive behavior among the university students. Results : Summing up the findings of this study, a general statement is inferred that the prevalence of aggressive behavior among students was directed against the property of the university, and then towards the workers of it, and finally towards other students, also the result indicated a high male aggressive compared with females, and shows that 3 rd and
A ten-year study of 5-flurouracil in disseminated breast cancer with clinical results and survival times..

The clinical results of 676 patients with widely disseminated breast cancer treated with 5-fluorouracil (5-FU) alone or with any additional therapy over the past ten years are presented. One observes a significantly increased survival in the 23.1 percent that improved and the 23.1 percent that were unchanged compared to the 53.8 percent that had progression on 5-FU therapy. To eliminate the beneficial influence on survival as a result of any other treatment, all patients who improved or were unchanged by other therapy were deleted, leaving a “corrected” group which showed a pattern almost identical to the overall total group, correlating increased survival with 5-FU responsiveness.
TWIN: Personality-based Intelligent Recommender System

The research work of the third author is partially funded by the WIQ-EI (IRSES grant n. 269180) and DIANA APPLICATIONS (TIN2012-38603-C02-01), and done in the framework of the VLC/Campus Microcluster on Multimodal Interaction in Intelligent Systems.