nils-herrmann/clean_scirepeval huggingface dataset:
Lumos+ Rapid, pre RTL design space exploration on accelerator rich heterogeneous architectures with reconfigurable logic
Venue: 2016 IEEE 34th International Conference on Computer Design (ICCD)

We propose Lumos+ an analytical framework for power and performance modeling of accelerator rich heterogeneous architectures. As accelerators proliferate, the search space becomes too expensive for brute force search. We describe a novel and highly accurate genetic search algorithm. We then use Lumos+ to explore the tradeoffs between using fixed function accelerators and reconfigurable logic blocks, while accounting for diverse workload characteristics, hardware overheads, and system constraints, and show that reconfigurable logic can improve power and performance while improving overall system flexibility and the ability to adapt to diverse and changing workloads.
Exploring the Regional Variance using ARMA GARCH Models
Venue: Water Resources Management

Recently some generalized autoregressive conditional heteroskedasticity (GARCH) models are proposed and applied to various hydrologic variables to capture and remove the ARCH effect, which has been observed frequently in the residuals from linear autoregressive moving average (ARMA) models fitted to hydrologic time series. As a nonlinear phenomenon of variance behavior, the ARCH effect reveals partially nonstationarity and nonlinearity of hydrological processes. This paper deals with the variation of a river basin using the ARMA GARCH error model, which combines an ARMA model for modelling the mean behavior and a GARCH model for modelling the variance behavior of the residuals from the ARMA model. Based on the heteroscedasticity of hydrological variable series, the time varying regional variance is proposed to check the variation of a river basin for the first time. As a study case, the method is applied to four deseasonalized daily discharge series from the middle reach of Yangtze River, China. Through the analyses of the conditional variance in different streamflow series, it is concluded that: (1) The ARCH effect exists in all the studied series which means the stream processes is nonstationary in terms of the variance; (2) The variations of time varying variances are similar for the series from adjacent hydrological stations, and the similarity degree increases from upstream to downstream; (3) The regional variance is time varying and can be used for further regional research.
Flexibilite des chomeurs, mode d'emploi. Les conseillers a l'emploi a l'epreuve de l'activation, L. Lavitry. Presses universitaires de France, Paris (2015) 240 p.

La publication du travail de these de Lynda Lavitry est particulierement opportune. Son enquete aupres des conseillers a l'emploi de l'ex ANPE, menee dans le contexte d'un chomage de masse persistant et de la fusion de cette structure d'intermediation avec le reseau des Assedic pour former le nouveau Pole emploi (fusion devenue effective en decembre 2008) vise a rendre compte des missions de ces street level bureaucrats et des tensions qui traversent leur metier. L'ouvrage est articule e.
Lynda Lavitry, Flexibilite des chomeurs, mode d'emploi. Les conseillers a l'emploi a l'epreuve de l'activation

La fusion entre l'Agence nationale pour l'emploi (ANPE) et l'Association pour l'emploi dans l'industrie et le commerce (Assedic) operee en 2008 et effective en 2009 a considerablement occupe la sphere publique et mediatique pendant de nombreux mois, tout particulierement dans un contexte d'augmentation importante du nombre de demandeurs d'emploi. Allant au dela des aspects largement publicises d'une institution en profond changement, la recherche menee par Lynda Lavitry propose de s'interesse.
A Harmonized Perspective on Transportation Management in Smart Cities: The Novel IoT Driven Environment for Road Traffic Modeling
Venue: Sensors

The unprecedented growth of today's cities together with increased population mobility are fueling the avalanche in the numbers of vehicles on the roads. This development led to the new challenges for the traffic management, including the mitigation of road congestion, accidents, and air pollution. Over the last decade, researchers have been focusing their efforts on leveraging the recent advances in sensing, communications, and dynamic adaptive technologies to prepare the deployed road traffic management systems (TMS) for resolving these important challenges in future smart cities. However, the existing solutions may still be insufficient to construct a reliable and secure TMS that is capable of handling the anticipated influx of the population and vehicles in urban areas. Along these lines, this work systematically outlines a perspective on a novel modular environment for traffic modeling, which allows to recreate the examined road networks in their full resemblance. Our developed solution is targeted to incorporate the progress in the Internet of Things (IoT) technologies, where low power, embedded devices integrate as part of a next generation TMS. To mimic the real traffic conditions, we recreated and evaluated a practical traffic scenario built after a complex road intersection within a large European city.
Exploiting Cluster based Meta Paths for Link Prediction in Signed Networks
Venue: CIKM

Many online social networks can be described by signed networks, where positive links signify friendships, trust and like; while negative links indicate enmity, distrust and dislike. Predicting the sign of the links in these networks has attracted a great deal of attentions in the areas of friendship recommendation and trust relationship prediction. Existing methods for sign prediction tend to rely on path based features which are somehow limited to the sparsity problem of the network. In order to solve this issue, in this paper, we introduce a novel sign prediction model by exploiting cluster based meta paths, which can take advantage of both local and global information of the input networks. First, cluster based meta paths based features are constructed by incorporating the newly generated clusters through hierarchically clustering the input networks. Then, the logistic regression classifier is employed to train the model and predict the hidden signs of the links. Extensive experiments on Epinions and Slashdot datasets demonstrate the efficiency of our proposed method in terms of Accuracy and Coverage.
He's Dark, Dark; Colorism Among African American Men

This study expands literature on colorism and the monolithic emphasis on the experiences of women by investigating black men's experience with skin tone discrimination. The investigator seeks to interrogate how black males experience colorism by exploring how familial, peer associations, and media shape black males' understanding of their skin tone; by asking; what messages, if any, enforcing colorism ideals they receive; as well as the frequency of and adherence to such messages. The investigator utilized focus groups to gather data. Sample was limited to 10 self identifying African American black men age 18 and older. Focus group data is analyzed through an intersectional perspective, and thematic coding is utilized for analysis. Findings suggest light skinned and dark skinned men experience colorism differently. Light skinned men noted blatant colorism and often felt they had to authenticate their blackness. Darker skinned men reported more indirect colorism and negative stereotypes as prominent challenges with colorism.  Colorism, Race, Black masculinity, Skin tone, African American males, Identity, Discrimination, Intraracial, Qualitative, Colorism Studies, Blackness HE'S DARK, DARK: COLORISM AMONG AFRICAN AMERICAN MEN
Association of elevated frequency of micronuclei in peripheral blood lymphocytes of type 2 diabetes patients with nephropathy complications.
Venue: Mutagenesis

The increasing incidence of type 2 diabetes mellitus globally has increased the incidence of diabetes associated complications such as nephropathy. DNA damage induced by oxidative stress might be one of the important mechanisms in the pathogenesis of diabetic complications. Two hundred Iranian individuals with the conditions of type 2 diabetes, diabetic nephropathy and nephropathy patients with no sign of diabetes and normal unaffected sex and age matched controls (50 in each group) were enrolled in the study. The background and the net levels of micronucleus (MN) formation as well as other cellular damages induced after in vitro treatment with 25 ug/ml of bleomycin (BLM) were evaluated using cytokinesis block MNs cytome assay (CBMN cyt) in peripheral blood lymphocytes. The background and net BLM induced levels of MNs were significantly higher in all patient groups compared with the control (P 0.01, P 0.001, respectively) The frequency of MNs was significantly higher in those patients with prior incidence of nephropathy than those without. A positive association was observed between basal and net MN frequency among study groups and also between net genetic damages and serum creatinine value and duration of diabetes. The rate of basal and net apoptosis was significantly higher in patients with hyperglycemia. Our results indicate that increased genomic instability expressed as MNs is associated with nephropathy in all pathological stages. Therefore, implementation of MN assay in clinical level may potentially enhance the quality of management of patients with diabetes and its complications such as nephropathy.
A Diversity Promoting Objective Function for Neural Conversation Models
Venue: NAACL

Sequence to sequence neural network models for generation of conversational responses tend to generate safe, commonplace responses (e.g. "I don't know" regardless of the input. We suggest that the traditional objective function, i.e. the likelihood of output (response) given input (message) is unsuited to response generation tasks. Instead we propose using Maximum Mutual Information (MMI) as the objective function in neural models. Experimental results demonstrate that the proposed MMI models produce more diverse, interesting, and appropriate responses, yielding substantive gains in BLEU scores on two conversational datasets and in human evaluations.
In situ assimilation of mantle minerals by kimberlitic magmas Direct evidence from a garnet wehrlite xenolith entrained in the Bultfontein kimberlite (Kimberley, South Africa)

The lack of consensus on the possible range of initial kimberlite melt compositions and their evolution as they ascend through and interact with mantle and crustal wall rocks, hampers a complete understanding of kimberlite petrogenesis. Attempts to resolve these issues are complicated by the fact that kimberlite rocks are mixtures of magmatic, xenocrystic and antecrystic components and, hence, are not directly representative of their parental melt composition. Furthermore, there is a lack of direct evidence of the assimilation processes that may characterise kimberlitic melts during ascent, which makes understanding their melt evolution difficult. In this contribution we provide novel constraints on the interaction between precursor kimberlite melts and lithospheric mantle wall rocks. We present detailed textural and geochemical data for a carbonate rich vein assemblage that traverses a garnet wehrlite xenolith [equilibrated at 1060 degC and 43 kbar 140 145 km) from the Bultfontein kimberlite (Kimberley, South Africa) This vein assemblage is dominated by Ca Mg carbonates, with subordinate oxide minerals, olivine, sulphides, and apatite. Vein phases have highly variable compositions indicating formation under disequilibrium conditions. Primary inclusions in the vein minerals and secondary inclusion trails in host wehrlite minerals contain abundant alkali bearing phases (e.g. Na K bearing carbonates, Mg freudenbergite, Na bearing apatite and phlogopite) The Sr isotope composition of vein carbonates overlaps those of groundmass calcite from the Bultfontein kimberlite, as well as perovskite from the other kimberlites in the Kimberley area. Clinopyroxene and garnet in the host wehrlite are resorbed and have Si rich reaction mantles where in contact with the carbonate rich veins. Within some veins, the carbonates occur as droplet like, globular segregations, separated from a similarly shaped Si rich phase by a thin meniscus of Mg magnetite. These textures are interpreted to represent immiscibility between carbonate and silicate melts. The preservation of reaction mantles, immiscibility textures and disequilibrium in the vein assemblage, suggests quenching, probably triggered by entrainment and rapid transport toward the Earth's surface in the host kimberlite magma. Based on the Sr isotope systematics of vein carbonate minerals, and the close temporal relationship between carbonate rich metasomatism and kimberlite magmatism, we suggest that the carbonate rich vein assemblage was produced by the interaction between a melt genetically related to the Bultfontein kimberlite and wehrlitic mantle wall rock. If correct, this unique xenolith sample provides a rare snapshot of the assimilation processes that might characterise parental kimberlite melts during their ascent through the lithospheric mantle.
Consumer Perception towards Online Marketing in India

The growing use of Internet in India provides varied opportunities for online shopping from both customer and seller perspective. If Electronic marketers (E Marketers) know the factors affecting online Indian behavior, the relationships between these factors and the type of online buyers, they can further develop their marketing strategies to convert potential buyers into active buyerswhile retainingits original customer base. This study focuses on the factors which online buyers takes into consideration while shopping online. This research will help in finding the impact of e market on customers' purchasing patterns and how their security and privacy concerns about online marketinginfluences their online buying behavior. The study will further encompass the various important inputs which will equip the marketers for creating online marketing more lucrative and assured by adding value to the existing services.
Prevalence of antenatal depression and associated factors among pregnant women hospitalized in a high risk pregnancy unit in Greece
Venue: Social Psychiatry and Psychiatric Epidemiology

PurposeWomen who face pregnancy complications may require hospitalization in a high risk pregnancy unit (HRPU) and this may have a negative impact on the pregnant woman's mental health. The purpose of this study was to screen for depressive symptoms in pregnant women admitted in a high risk pregnancy unit and also to investigate associated risk factors.MethodsThis was a cross sectional study that enrolled pregnant women admitted at =24 gestational weeks in a university hospital HRPU, between September 2014 and November 2015. The Edinburgh Postnatal Depression Scale was used to assess depressive symptoms on admission. A cutoff score =13 was considered as indicative of depression. Test results were then correlated with the reasons that led to the women's admission as well as socio demographic characteristics.ResultsOverall, 157 of the women admitted in the HRPU during the study period were eligible for the study and agreed to complete the questionnaire. The mean age of the pregnant women was 30 6 years, and the mean gestational week at admission was 32 3 weeks. The prevalence of antenatal depression (score =13) was 28 (44/157) In the multivariate analysis, antenatal depression was significantly correlated with smoking (OR 2.681, 95 CI 1.089 6.601) and the existence of thoughts for pregnancy termination (OR 3.624, 95 CI 1.149 11.427).ConclusionsApproximately one quarter of pregnant women hospitalized in the HRPU may show signs of depression at the time of admission. Smoking and an unwanted pregnancy were found to be independently associated with antenatal depression, whereas no association was found with any obstetric parameters.
Significance of masked and nocturnal hypertension in normotensive women coursing a high risk pregnancy
Venue: Journal of hypertension

The aim was to evaluate the prevalence of nocturnal and masked hypertension and the prognostic values of these blood pressure (BP) abnormalities in normotensive women coursing a high risk pregnancy.  The study was performed in pregnant women with 20 or more weeks of gestation coursing a high risk pregnancy, sent to a specialized hypertension department to perform a prospective defined protocol of BP evaluation. Women with office BP at least 140/90 mmHg were excluded. An ambulatory monitoring of BP was performed to identify masked and nocturnal hypertension (defined according to the current guidelines) The adjusted risk for development of preeclampsia/eclampsia (PEEC) was estimated using logistic regression. The ability of SBP and DBP to identify risk of PEEC was estimated using area under the receiver operating characteristic curves.  Eighty seven women (29 7 years old, 30 5 weeks of pregnancy) were included in this analysis. The prevalence of masked hypertension was 33.3% Nocturnal hypertension was found in 42.5% of the women. Remarkably, 27.0% of the women with nocturnal hypertension had normal 24 h values according to ambulatory BP monitoring. Twenty two patients developed PEEC; adjusted relative risks increased with the presence of nocturnal (odds ratio 4.72, 95% confidence interval 1.25 19.43, P 0.023) or masked hypertension (odds ratio 7.81, 95% confidence interval 2.6 22.86, P 0.001) Nocturnal SBP and DBP had the highest abilities to predict PEEC (area under the curve 0.77 and 0.80, respectively)  Masked and nocturnal hypertension are frequent findings in normotensive women coursing a high risk pregnancy, and their presence implies an increased risk to develop PEEC.
An Obstetrics Index for the Assessment of Risk Levels of "High Risk Pregnancy" Groups

To validate the usability of "Beksac Obstetrics Index" (BOI/BOIp) in the evaluation of different high risk pregnancy groups.  This study is consisted of 3 groups of patients; 1) Pregnancies without MTHFR polymorphisms (n=65) 2) Pregnancies with methylenetetrahydrofolate reductase (MTHFR; homozygous or compound heterozygous) polymorphisms (n=140) 3) Pregnancies with "autoimmune antibody positivity" without any other type of hereditary thrombophilia (Anti dsDNA, anti phospholipid Ig G/M, anti cardiolipin Ig G/M, ASMA, APA, ENA, anti mitochondrial antibodies) (n=76) In this study, BOI which is (number of child +p/10)/Gravida is used in order to demonstrate the risk levels/scale of different high risk pregnancy groups.  The mean BOIp SD) values are 0,41+ 0,22; 0,29+ 0,21; and 0,40+ 0,23 for Control, MTHFR and Autoimmune groups respectively. We have demonstrated statistically significantly decreased BOIp level in MTHFR group compared to the other groups (p:0,002)  We have demonstrated that BOI/BOIp can be used in the assessment of risk levels of different high risk pregnancy groups.
Early Parental Adaptation, Prenatal Distress, and High Risk Pregnancy.
Venue: Journal of pediatric psychology

To examine the examined the effects of high risk pregnancy and prenatal distress on parental postnatal adaptation.  A sample of 111 expecting parents, consisting of 32 high risk pregnancy (HRP) mothers and 21 spouses and 36 matched low risk pregnancy (LRP) mothers and 22 spouses completed reports of depression symptoms (BDI) and pregnancy related concerns prenatally. At three months postpartum, parent infant direct observations and reports of parenting alliance (PAI) stress (PSI SF) satisfaction and efficacy (PSOC) were gathered. Data was analyzed with GLM multivariate analyses and the actor partner interdependence model.  Parents' prenatal BDI predicted postnatal parental stress. BDI and concerns predicted postnatal satisfaction, but only for mothers. Mother's concerns predicted low maternal and high paternal parenting alliance. Partner effect was found so that high concerns predicted high reports of parenting alliance by spouse. Mean group differences were found between HRP and LRP during parent infant observations, so that HRP parents displayed lower sensitivity and reciprocity.  Prenatal distress, and to some degree high risk pregnancy, are risk factors that may interfere with the early formation of parent infant relationship. Clinical implications of these findings are presented.
Dissemination of Indigenous Knowledge through Modern Agricultural Information Sources and Channels in Anuradhapura District, Sri Lanka

Information plays a critical role in agriculture where information sources and channels are important for decision making.  Extension Service (AES) of theDepartment of Agriculture, Sri Lanka facilitates farmer decision making by providing knowledge, relevant and reliable information so as to promote agricultural development. Regrettably, in a position which inapt use of modern expertise caused severe ecological and health issues, approaches allied to Indigenous Knowledge (IGK) receive great attention where there is a need of assessing the existing information dissemination system to promote IGK. Therefore, the study explores the AES,information channels (IC) and information sources (IS) to achieve the objectives of (1) assessing and classifying IC and IS, (2) assessing the current use and usefulness of IC and IS, (3) assessing factors that are vital to disseminate IGK via IS and IC, and (4) assessing and recommending possible methods to propagate IGK. Questionnaire based interviews (n=500) were held with farmers in Ten DS divisions in Anuradhapura District. The IC and IS were classified into four groups; Personal localite sources, Personal cosmopolite sources, Personal cosmopolite channels, and Impersonal cosmopolite channels, where both qualitative and quantitative methods were used for the analysis. Progressive farmers, Surrounding folks, extension officers, agro input dealers, printed and digital media were found important to farmers, while library and scholarly resources whereas wireless technologies such as internet were underused. Despite of the preference, farmers' use of IC and IS relied on clarity, simplicity, availability, cost effectiveness whereas on certain socio economic, cultural and psychological aspects. Constraints allied to assistance, infrastructure, understanding on IGK, resources, whereas complexity of methods, monetary limitations, negative perceptions were faced by both extension offices and farmers that demands well planned collective programs, supplement of simple resources, computer literacy, assistance and IGK related training to both parties.
ReasoNet: Learning to Stop Reading in Machine Comprehension
Venue: CoCo@NIPS

Teaching a computer to read and answer general questions pertaining to a document is a challenging yet unsolved problem. In this paper, we describe a novel neural network architecture called the Reasoning Network (ReasoNet) for machine comprehension tasks. ReasoNets make use of multiple turns to effectively exploit and then reason over the relation among queries, documents, and answers. Different from previous approaches using a fixed number of turns during inference, ReasoNets introduce a termination state to relax this constraint on the reasoning depth. With the use of reinforcement learning, ReasoNets can dynamically determine whether to continue the comprehension process after digesting intermediate results, or to terminate reading when it concludes that existing information is adequate to produce an answer. ReasoNets achieve superior performance in machine comprehension datasets, including unstructured CNN and Daily Mail datasets, the Stanford SQuAD dataset, and a structured Graph Reachability dataset.