nils-herrmann/clean_scirepeval huggingface dataset:
Acceptance Based Exposure Therapy for Body Dysmorphic Disorder: A Pilot Study.
Venue: Behavior therapy
Year: 2015

Body dysmorphic disorder (BDD) is an often severe, chronic, and disabling disorder, and although some controlled trials of cognitive behavior therapy (CBT) have shown efficacy, the body of evidence is still limited. The condition is generally considered difficult to treat, and further research to determine the effectiveness of psychological treatments for BDD is needed. The present study is the first to evaluate an acceptance based therapy for BDD. In total, 21 patients received a 12 week group treatment consisting of weekly sessions of psychoeducation, acceptance and defusion practice, and exposure exercises to foster acceptance of internal discomfort and to strengthen the patients' committed purposeful actions. The primary outcome was BDD symptomatology (measured on the BDD YBOCS) assessed by a psychiatrist before and after treatment and at 6months follow up. The secondary outcomes were self rated BDD symptoms, psychological flexibility, depressive symptoms, quality of life, and disability. Reductions in BDD symptomatology from pre to posttreatment were significant and showed a large effect size, d=1.93 (95% CI 0.82 3.04) At posttreatment, 68% of the participants showed clinically significant improvement in the primary outcome variable. Treatment gains were maintained at 6months follow up. The treatment also resulted in significant improvements in all secondary outcomes. The dropout rate was low; 90.5% of the participants completed treatment. This study suggests that acceptance based exposure therapy may be an efficacious and acceptable treatment for BDD that warrants further investigation in larger controlled trials.
Action Duration Prediction for Segment Level Alignment of Weakly Labeled Videos
Venue: 2021 IEEE Winter Conference on Applications of Computer Vision (WACV)
Year: 2021

This paper focuses on weakly supervised action alignment, where only the ordered sequence of video level actions is available for training. We propose a novel Duration Network1, which captures a short temporal window of the video and learns to predict the remaining duration of a given action at any point in time with a level of granularity based on the type of that action. Further, we introduce a Segment Level Beam Search to obtain the best alignment, that maximizes our posterior probability.  Beam Search efficiently aligns actions by considering only a selected set of frames that have more confident predictions. The experimental results show that our alignments for long videos are more robust than existing models. Moreover, the proposed method achieves state of the art results in certain cases on the popular Breakfast and Hollywood Extended datasets.
Repercusiones psicosociales del cancer infantil: apoyo social y salud en familias afectadas
Year: 2015

Resumen El proposito de esta investigacion es analizar las repercusiones psicosociales que genera el cancer infantil en los progenitores. Para ello, se han estudiado variables ligadas a sintomas fisicos y psicologicos y el papel del apoyo social percibido sobre la salud. La muestra esta compuesta por 51 padres pertenecientes a una asociacion de familias afectadas de Almeria (Espana) que respondieron a un cuestionario semiestructurado enviado por correo postal. Aunque los progenitores manifiestan fundamentalmente sintomas de cansancio, dolores de cabeza y nerviosismo, no se observan valores especialmente negativos respecto a su salud percibida y su satisfaccion con la vida. Existen relaciones significativas entre el estres ante situaciones asociadas a la enfermedad y la salud y el bienestar de los participantes. El apoyo social percibido del nucleo familiar incide significativamente en la salud. Los analisis de regresion permiten contrastar la relevancia de las variables asociadas al estres y el apoyo de la pareja y de los hijos sobre la percepcion de sintomas y bienestar. Estos resultados destacan la importancia de seguir analizando los factores psicosociales que afectan a las familias afectadas con la finalidad de favorecer su adaptacion a la enfermedad y minimizar el impacto que esta puede tener en la salud.
Melting temperature, concentration and cooling rate dependent nucleating ability of a self assembly aryl amide nucleator on poly(lactic acid) crystallization
Venue: Polymer
Year: 2019

The self assembly behavior of N,N',N' tricyclohexyl 1,3,5 benzenetricarboxylamide (BTCA) and its nucleating effect on poly(lactic acid) (PLA) crystallization were studied by differential scanning calorimetry and polarized optical microscopy. The effect of melting temperatures (Tf) from 190 to 240 degC, BTCA concentrations from 0 to 0.5 wt% and cooling rates from 2.5 to 20 degC/min was investigated. It was found that, when Tf was 240 degC, BTCA could dissolve completely in PLA matrix, and then self assemble into supermolecular frameworks upon decreasing temperature. The core findings are as follows: (1) for the two step crystallization, the half crystallization time of PLA showed a bell shaped dependence on the pre crystallization temperatures of BTCA, which was higher than that without pre treatment; (2) for nonisothermal crystallization, the crystallization peak temperature of PLA presented a bell shaped dependence on the concentration of BTCA at each rate. Meanwhile, the BTCA concentration, which corresponded to the maximum crystallization rate of PLA, shifted to higher value with the increase of cooling rate. The observations were discussed in term of the effective nucleating surface area of BTCA.
Effect of COVID 19 on Restaurant Industry How to Cope With Changing Demand
Year: 2020

Right now, the only Industry that may not do well in the post COVID scenario is the hospitality Industry. Let us be honest, even if tomorrow, corona disappeared, people will still be avoiding ordering food or dining out for a long time to come. A small poll on twitter that was reacted to by 10346 respondents showed more than half (53% people saying no to ordering food while 13 said that they may order and the rest 34% said they will continue to order food This was before the Pizza delivery boy news came. The same goes for any service industry like movie halls/ malls. Its not just the food service industry but as a matter of fact whole of travel and tourism is going to suffer the backlash of corona. From Movie halls to malls wherever there was interaction, people confined in close spaces, things will have to be reinvented, with newer techniques to minimise human interaction. In this Paper we shall have look at the problems that service industry will face and may be suggest a way out
Garment Enterprises' Zero Inventory Management: A Case Study of METERSBONWE
Year: 2011

Nowadays more and more attention give "Zero inventory",and because of the characteristics of garment enterprises,if garment enterprises have "Zero inventory" will bring long term interests.METERSBONWE is a famous garment enterprise in our country,the paper analyze the "Zero inventory" of METERSBONWE to learn about how to implement "Zero inventory" and the superiority of "Zero inventory" management.
SMT based Task and Network level Static Schedule Generation for Time Triggered Networked Systems
Venue: RTNS
Year: 2014

In Ethernet based time triggered networks, like TTEthernet, a global communication scheme, for which the schedule synthesis is known to be an NP complete problem, establishes contention free windows for the exchange of messages with guaranteed low latency and minimal jitter. However, in order to achieve end to end determinism at the application level, software tasks running on the end system nodes need to obey a similar execution scheme with tight dependencies towards the network domain. In this paper we address the simultaneous co synthesis of network as well as application schedules for preemptive time triggered tasks communicating in a switched multi speed time triggered network. We use Satisfiability Modulo Theories (SMT) to formulate the scheduling constraints and solve the resulting problem using a state of the art SMT solver. Furthermore, we introduce a novel incremental scheduling approach, based on the demand bound test for asynchronous constrained deadline periodic tasks, which significantly improves scalability for the average case without sacrificing schedulability. We demonstrate the performance of our approach using synthetic network topologies and system configurations.
Analysis of a versatile batch service queueing model with correlation in the arrival process
Venue: Perform. Evaluation
Year: 2013

In the past, many researchers have analyzed queueing models with batch service. In such models, the server typically postpones service until the number of present customers reaches a service threshold, whereupon service is initiated of a batch consisting of several customers. In addition, correlation in the customer arrival process has been studied for many different queueing models. However, correlated arrivals in batch service models have attracted only modest attention. In this paper, we analyze a discrete time D BMAP/G^l^^c/1 queue, whereby the service time of a batch is dependent on the number of customers within it. In addition, a timing mechanism is included, to avoid that customers suffer excessive waiting times because their service is postponed until the amount of customers reaches the service threshold. We deduce various useful performance measures related to the buffer content and we investigate the impact of the traffic parameters on the system performance through some numerical examples. We show that correlation merely has a small impact on the service threshold that minimizes the mean system content, and consequently, that the existing results of the corresponding independent system can be applied to determine a near optimal service threshold policy, which is an important finding for practitioners. On the other hand, we demonstrate that for other purposes, such as performance evaluation and buffer management, correlation in the arrival process cannot be ignored, a conclusion that runs along the same lines as in queueing models without batch service.
Understanding TypeScript
Venue: ECOOP
Year: 2014

TypeScript is an extension of JavaScript intended to enable easier development of large scale JavaScript applications. While every JavaScript program is a TypeScript program, TypeScript offers a module system, classes, interfaces, and a rich gradual type system. The intention is that TypeScript provides a smooth transition for JavaScript programmers well established JavaScript programming idioms are supported without any major rewriting or annotations. One interesting consequence is that the TypeScript type system is not statically sound by design. The goal of this paper is to capture the essence of TypeScript by giving a precise definition of this type system on a core set of constructs of the language. Our main contribution, beyond the familiar advantages of a robust, mathematical formalization, is a refactoring into a safe inner fragment and an additional layer of unsafe rules.
Rural non farm economy and livelihood diversification strategies: evidence from Bangladesh
Year: 2020

Rural households in Bangladesh are now diversifying from full time agriculture to part time agriculture where they are engaging in different non farm activities along with farming. This study intends to identify the determinants to diversify in each livelihood strategy individually and their effects on poverty. A total sample of 153 households from three districts of Bangladesh was selected through purposive sampling technique. Multinomial logistic regression and multidimensional poverty index were used for the likelihood of adopting one of the five probable activity portfolios and their poverty measurement, respectively. The results reveal that age and farming experience of the household head, and total land cultivated by a household play a significant negative role in diversifying into any activities in non farm sector. Higher education boosts the possibility to participate in wage employment based strategy. In addition to active male labor, better infrastructural facilities enhance the probability of engaging in wage and self employment based non farm activities. Moreover, access to non farm activities especially self employment and international migration are determined by credit receptiveness. Generally, shifting from full time agriculture to partly non farm sector is more welfare generating strategies (by reducing poverty) for rural households in Bangladesh. Therefore, policy should be directed to facilitate strategy based rural non farm activities and enhance balanced economic growth of the country.
Domain Adaptation with Structural Correspondence Learning
Venue: EMNLP
Year: 2006

Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For many NLP tasks, however, we are confronted with new domains in which labeled data is scarce or non existent. In such cases, we seek to adapt existing models from a resource rich source domain to a resource poor target domain. We introduce structural correspondence learning to automatically induce correspondences among features from different domains. We test our technique on part of speech tagging and show performance gains for varying amounts of source and target training data, as well as improvements in target domain parsing accuracy using our improved tagger.
Excited State Aromatic Interactions in the Aggregation Induced Emission of Molecular Rotors.
Venue: Journal of the American Chemical Society
Year: 2017

Small, apolar aromatic groups, such as phenyl rings, are commonly included in the structures of fluorophores to impart hindered intramolecular rotations, leading to desirable solid state luminescence properties. However, they are not normally considered to take part in through space interactions that influence the fluorescent output. Here, we report on the photoluminescence properties of a series of phenyl ring molecular rotors bearing three, five, six, and seven phenyl groups. The fluorescent emissions from two of the rotors are found to originate, not from the localized excited state as one might expect, but from unanticipated through space aromatic dimer states. We demonstrate that these relaxed dimer states can form as a result of intra or intermolecular interactions across a range of environments in solution and solid samples, including conditions that promote aggregation induced emission. Computational modeling also suggests that the formation of aromatic dimer excited states may account for the photophysical properties of a previously reported luminogen. These results imply, therefore, that this is a general phenomenon that should be taken into account when designing and interpreting the fluorescent outputs of luminescent probes and optoelectronic devices based on fluorescent molecular rotors.
Effect of Environmental and Altruistic Attitudes on Willingness to Pay for Organic and Fair Trade Coffee in Flanders
Year: 2018

Sustainability labels, on food products, provide information to consumers that the product has been produced in an ethical and environmentally friendly way. We explore the knowledge and purchasing behaviour of the organic label and fair trade label. Secondly, we investigate the willingness to pay (WTP) for food products bearing organic and fair trade labels. Thirdly, we examine the effects of demographic characteristics and environmental and altruistic attitudes on WTP for both organic and fair trade labels. Lastly, we evaluate the correlation in WTP for organic and fair trade labels. We draw our conclusions by analyzing a stated choice experiment on consumers' coffee buying behaviour in Flanders, Belgium. Our results suggest that knowledge of the fair trade label is higher than that of the organic label. The importance of the organic and fair trade labels on coffee purchase decisions, as well as their WTP estimates, were similar. We found a high correlation in WTP for both labels. Our results indicate significant effects of environmental and altruistic attitudes on WTP for both organic and fair trade labels as they apply to coffee.
An Efficient Scheduling Scheme for OFDMA Resource Blocks with Joint User Scheduling based on Earliest Deadline First with Carrier Aggregation (CA) in LTE A System
Venue: Wirel. Pers. Commun.
Year: 2016

This paper focuses on the resource planning within the downlink of Long Term Evolution Advanced (LTE A) in addition to Carrier Aggregation (CA) technology. Every time CA is being put to use, it is very vital to complement the LTE A system with a robust and suitable resource scheduling plan. The two basic resource scheduling schemes are Separate Random User Scheduling and Joint User Scheduling (JUS) The former scheme is simpler, but less efficient, while the latter performs optimally at the expense of higher computation complexity. As a matter of fact, LTE Advanced networks are designed to render minimal latency and additional broadcast rates, coupled with increased spectral operational performance beyond the benchmark of 3G networks. Nevertheless, concerning the insufficient radio resources, the efficient application and management of these scarce resources are most desirable. Hence, the best approach for profitable resource allocation must be of central focus to meet the Quality of Service (QoS) standard. For the purpose of enhancing the system equity and refraining from high complexity of the system, it is recommended that the JUS is based on Earliest Deadline First (EDF) to offer QoS guarantees and equitable distribution of radio resources. From the simulation results, the following improvements were made: The proposed JUS based on EDF, improved the throughput of the users by adjusting the deadline for the allocated resource blocks of the users. The JUS EDF has improved the users throughput by 10 as compared to simple JUS. It also enhanced the system fairness by adjusting the priority of each user according to Earliest Deadline compared to JUS, by 8.88 Also JUS EDF reduced packet delays by 1 s, as compared to the conventional JUS. This paper has introduced a sub optimized packet scheduling algorithm to fully utilize the new feature in LTE A downlink system.
The Layers of The Onion: The Impact of Satirical News on Affect and Online Sharing Behaviors
Venue: Electronic News
Year: 2019

The Onion is a satirical news site that has been growing in popularity over the last two decades. Based on theories in affect and social sharing, the current studies examined the impact of this online satirical news to understand its impact on affective states and online sharing. In Study 1, participants (N 147) either viewed a satirical or serious (frame) news story and then were asked about affective states and sharing behaviors. In Study 2, participants (N 143) viewed one of the two frames but on Instagram. In Study 1, results showed that serious news stories increased both positive and negative affect. Only positive affect mediated the relationship between frame and sharing. In Study 2, results showed that satirical Instagram posts were positively associated with negative affect, which mediated the relationship between frame and sharing. This study shows the important implications of online satirical news and illuminates how different platforms can affect audiences.
Toward an Intersectional Approach in Developmental Science: The Role of Race, Gender, Sexual Orientation, and Immigrant Status.
Venue: Advances in child development and behavior
Year: 2016

Developmental theory and research have often focused on a single social identity category, for example, race or sexual orientation, and examined the consequences of that category on life outcomes. Yet intersectional models of social disadvantage (eg, Cole, 2009; Crenshaw, 1995; King, 1988) suggest that social categories combine to shape the experiences and life outcomes of individuals across life domains. In this chapter, we review empirical research that offers insight into the intersectionality of social identities across three critical developmental periods, namely, middle childhood, adolescence, and emerging adulthood. We also consider the consequences of intersecting identities across several life domains, including intergroup relations and political and civic engagement. Recognizing that the body of work on social identities is expansive, we focus our review on race/ethnicity, gender, sexual orientation, and immigrant status. In each developmental stage, we discuss what we know, drawing from the limited empirical literature, and offer suggestions on where we need to go moving forward. We conclude that research that focuses on as a single category and ignores the specific domain of development provides an incomplete and inaccurate picture that will hinder efforts to develop culturally appropriate and clinically effective prevention and intervention programs to meet the needs of our diverse children and youth living in the United States.
Micro Influencer Celebrity's Communication Strategy in Brand Promotion
Year: 2021

The research analyzed the role of Instagram influencers, especially those who fell into the category of micro influencers, and the impacts they generated through effective communication strategy in promoting local brands in Indonesia. The exploratory study adopted a qualitative research design by collecting primary data through in depth interviews with selected micro influencers, local brands marketers, and an Influencer marketing strategist. While secondary data was gathered from both offline and online available documented literatures. Results were then categorized using Creswell's six stage analysis method in order to produced themes. Findings show that Instagram is a preferred social media platform in Indonesia for local companies to promote their brands by selecting micro influencers as part of the communication strategy. Four distinctive characteristics outline the themes of Instagram micro influencer that are seen as primary factors for the brands to utilize in ensuring effective brands' communication strategy. The research concludes that different methods of delivering a brand's messages can be utilized to achieve the brand's communication goals and the high intensity of engagement between the influencer and their followers is the core strength for the success of the communication activity. This is a quality seeks by both brands and influencer agencies to ensure successful brands' communication strategy.
The sva package for removing batch effects and other unwanted variation in high throughput experiments
Venue: Bioinform.
Year: 2012

Heterogeneity and latent variables are now widely recognized as major sources of bias and variability in high throughput experiments. The most well known source of latent variation in genomic experiments are batch effects when samples are processed on different days, in different groups or by different people. However, there are also a large number of other variables that may have a major impact on high throughput measurements. Here we describe the sva package for identifying, estimating and removing unwanted sources of variation in high throughput experiments. The sva package supports surrogate variable estimation with the sva function, direct adjustment for known batch effects with the ComBat function and adjustment for batch and latent variables in prediction problems with the fsva function.