nils-herrmann/clean_scirepeval huggingface dataset:
In Pursuit of Socioemotional Wealth: The Affordances of Social Media in Family Firms
Year: 2020

Social media which is characterized by easily accessible information technology applications has become ubiquitous in a range of organizations. It simultaneously presents both opportunities and challenges for organizations. Social media has influenced many aspects of organizing and has generated new ways of connecting with employees, customers, suppliers, and other stakeholders. Despite the pervasiveness of social media, there is limited understanding on the impact of social media on family firms. In this chapter, we attempt to remedy the absence of theory on the organizational effects of social media use in a family business context. We utilize an affordance lens to explain how social media can offer four types of affordances to family firms that pursue socioemotional objectives visibility, persistence, editability, and association. Overall, this chapter yields several theoretical contributions to the family business literature and to our understanding of social media affordances in family firms.
A Survey on Attack Resilient of UAV Motion Planning*
Venue: 2020 IEEE 16th International Conference on Control Automation (ICCA)
Year: 2020

With the advancement of science and technology, unmanned aerial vehicles (UAVs) have entered the industrial production and people's daily life. In the related studies, security of unmanned aircraft system (UAS) is a major concern in recent year. UAS are vulnerable to various attacks since they have many important information of mission. However, there are few studies focus on attack resilient of UAV motion planning. This paper introduces the current development status of UAS security, the intent of attackers and the weak links in UAS. This study analyzed the security threats faced by the UAS, the existing security protection measures, and the research status at home and abroad from three aspects: physical layer, network communication layer and computer software layer. It also summarizes other research directions related to UAS security. Finally, the future research directions for the security and management of UAVs are prospected.
Surf therapy as a means of deepening connection in a group therapy process
Year: 2020

Resurface is an evidence based therapeutic retreat set up to help a client in addressing their depression and trauma. The Resurface programmes are structured on the essential resource building stages of both EMDR and CBT, the only two treatment modalities recommended by NICE (National Institute for Clinical Excellence) for the treatment of PTSD, as well as the positive psychology evidence based interventions taught at The Universities of East London, Pennsylvania and Chicago (Seligman, Csikszentmihalyi, Duckworth, Frederickson, Nolan, and the philosophical legacy of the Aristotle. The key to any form of lasting psychological change is re embracing connection with others whom you value. Addiction, depression and trauma always lead to isolation, loneliness and a lack of being understood. Resurface puts the power of connectivity at the forefront of all the therapeutic activities. Following a retreat, clients are armed with new information and understanding relating to both why they felt the way they did but also information on how to progress going forward in their lives. Previous clients have reported that attending a resurface retreat gives them a huge 'therapeutic boost' saving time and energy on their rehabilitative journey. This saving of time allows for a greater ease of implementing and integrating various therapeutic techniques, tools and resources into both their every day lives and their therapy practice. As well as learning crucial new tools and interventions aimed at recovery from trauma and increasing flourishing, the retreats generate new, positive memories (themselves a resource to carry to forward) generates unexpected realisations in their own lives as well as witnessing other people's courage, vulnerability and strength. This creates a great springboard into the next stage of a client's healing process. Initial research is showing significant decreases in the anxiety (Gad 7) and depression (PHQ 9) with a concurrent significant increase in Change in Outlook (CiO) biometrics.
Efficacy and Safety of Hydroquinone, Kojic Acid and Glycolic Acid Combination in the Treatment of Melasma
Year: 2012

It was an opened clinical trial. The study was carried out from March 2009 to February 2011, in the outpatient department of Dermatology and Venereology, Bangabandhu Sheikh Mujib Medical University (BSMMU) Dhaka, Bangladesh to evaluate the efficacy and side effects of the combination therapy of hydroquinone(HQ) kojic acid(KA) and glycolic acid(GA) for the treatment of melasma. Patients suffering from melasma were selected as study population. Within the period of data collection, thirty patients of melasma were assigned purposively. The efficacy was evaluated using Melasma Area and Severity Index (MASI) Score. The severity of melasma of each of the four regions (forehead, right malar region, left malar region and chin) are assessed based on three variables, percentage of the total area involved (A) darkness (D) and homogenicity (H)  The study showed that majority (30% of the cases were between 20 to 25 years, majority (77% of patients were female, (50% patients were housewives, (50% were in graduation level of education, (50% of patients was found as upper class and negative family history was present in majority (80% of cases. It was seen that highest (93% number of patients were malar type and 7% were centro facial type. The study showed the change in MASI Score after treatment with combination therapy (GA 2% HQ 2% and KA 1% After 12 weeks of treatment, the average MASI score was decreased by 24.20% indicating mild reduction of the severity of melasma and 18% 18% 9% and 55% patients developed side effects like itching, burning sensation, scaling, and erythema respectively.  Combination therapy (GA 2% HQ 2% and KA 1% has a few lightening effect on melasma, with no remarkable side effects. Further study should be conducted with large number of sample and longer follow up.
The Development of Financial Reporting for SMEs in South Africa: Implications of Recent and Impending Changes
Year: 2008

South Africa has become the first country in the world to adopt the International Accounting Standards Board"s proposed International Financial Reporting Standards for Small and Medium sized Entities in its exposure draft form as a transitional standard for limited interest companies without public accountability. Previously, all South African companies, irrespective of their form, size and to whom their financial statements were available, were required to prepare financial statements in accordance with South African Generally Accepted Accounting Practice (aligned with the International Financial Reporting Standards since 1 January 2005) South Africa is currently undergoing a period of corporate law reform. Phase 1 has been completed with the publication of the Corporate Laws Amendment Act, No. 24 of 2006. Phase 2 is underway with the publication of the Companies Bill, 2007 which will probably be enacted in 2008. The importance of this corporate law reform is that differential reporting has been introduced in South Africa. The objective of this study is therefore to examine the development of accounting standards for small and medium sized entities (SMEs) in South Africa. The present position and the implications of recent and impending corporate law changes with respect to financial reporting for SMEs are also discussed.
Beyond new technologies essential tools in music education
Year: 2018

The growing use of new technologies, and more recently, the use of new digital educational options, such as, the free on line courses, has open a new concept in teaching art. In the case of the music subject, we cannot forget that technology offers teachers and students something much more interesting than playing a traditional instrument. In fact, technology is affecting the skills needed in teaching any subject or students level. Nonetheless, it seems that art, and moreover art education, should be essential tools in teaching in this new era, maybe more than using technology. This paper aims to show the possibilities for embedding art and creativity into teaching, and understand the role of new technology related to music education.
Diagnosis of avulsion fractures of the distal fibula after lateral ankle sprain in children: a diagnostic accuracy study comparing ultrasonography with radiography
Venue: BMC Musculoskeletal Disorders
Year: 2020

The purpose of this study was to determine the diagnostic accuracy of ultrasonography for the diagnosis of avulsion fractures of the distal fibula for lateral ankle sprain in children and compare it to that of radiography.  Children who sustained lateral ankle sprain were prospectively surveyed. They underwent both ultrasonography and radiography at the first clinic visit to diagnose any concomitant avulsion fractures of the distal fibula. The patients underwent follow up radiography 4 weeks later to obtain the reference standard diagnosis. The measures of diagnostic accuracy (i.e. sensitivity, specificity, positive predictive value, and negative predictive value) of the initial ultrasonography and radiography were calculated; they were then compared using the McNemar test. Totally, 52 patients (with a median age of 9 years) were analyzed.  On the reference standard (follow up) radiographs, 32 patients (62% were found to have avulsion fractures of the distal fibula. The sensitivity, specificity, positive predictive value, and negative predictive value for ultrasonography were 94, 85, 91, and 89% respectively; and 81, 100, 100, and 77% respectively for radiography at the first visit. There were no significant differences in sensitivity and specificity between the two diagnostic methods P 0.22, 0.25) Conclusions Ultrasonography has a high diagnostic accuracy, which is comparable to that of radiography, for the diagnosis of avulsion fracture of the distal fibula. Ultrasonography may be used as an option of imaging modality for lateral ankle sprain in children.
Emotion and sentiment analysis from Twitter text
Venue: J. Comput. Sci.
Year: 2019

Online social networks have emerged as new platform that provide an arena for people to share their views and perspectives on different issues and subjects with their friends, family, relatives, etc. We can share our thoughts, mental state, moments, stand on specific social, national, international issues through text, photos, audio and video messages and posts. Indeed, despite the availability of other forms of communication, text is still one of the most common ways of communication in a social network. The target of the work described in this paper is to detect and analyze sentiment and emotion expressed by people from text in their twitter posts and use them for generating recommendations. We collected tweets and replies on few specific topics and created a dataset with text, user, emotion, sentiment information, etc. We used the dataset to detect sentiment and emotion from tweets and their replies and measured the influence scores of users based on various user based and tweet based parameters. Finally, we used the latter information to generate generalized and personalized recommendations for users based on their twitter activity. The method we used in this paper includes some interesting novelties such as, (i) including replies to tweets in the dataset and measurements, (ii) introducing agreement score, sentiment score and emotion score of replies in influence score calculation, (iii) generating general and personalized recommendation containing list of users who agreed on the same topic and expressed similar emotions and sentiments towards that particular topic.
Toward a Model based on Gamification to Influence the Productivity of Software Development Teams
Venue: 2019 14th Iberian Conference on Information Systems and Technologies (CISTI)
Year: 2019

Software development is characterized by being an activity centered on people. From this perspective, it is common that there are issues related to the development team and their need for communication, collaboration, motivation, commitment, among others. These issues are also presented in the management of software projects, which are not only oriented towards the technical part but towards social and human factors. For this reason, software companies are interested to provide solutions to this kind of difficulties that influence the productivity of the team, the satisfaction of their customers, the costs, the quality, and the time of their projects. In order to contribute with this purpose, we propose a model based on gamification to intervene social and human factors and influence the productivity of development team. Through gamification, we seek to develop skills and abilities related to social and human factors in such a way that team is motivated, committed, satisfied, and its work is reflected in the results of the projects.
Priciny zadluzovani rodin, jeho rizika a mozne dusledky
Year: 2011

Diploma work on ?The causes of indebtedness of families, its risks and possible consequences? refers to some stages of the history of borrowing. It introduces basic banking and non banking institutions, types of loans, debts and deals with a potentional risk for families. Presents and analyzes the causes of indebtedness of Czech households and seeks to assess the possible social consequences of household debt. It represents the current trends of indebtedness and institutions providing assistance in crisis situations. Explore the possibility of solving the problem of indebtedness, and presents the principles of responsible borrowing. Highlights the need for economic and financial education as one of the tasks of today. It points to the importance of responsible management of family finances. At the conclusion presents the results of survey customers of financial institutions that got into trouble with debt.
A Comparative Study to Evaluate Accuracy on Canopy Height and Density Using UAV, ALS, and Fieldwork
Year: 2020

Accurate measurement of the tree height and canopy cover density is important for forest biomass and management. Recently, Light Detection and Ranging (LIDAR) and Unmanned Aerial Vehicle (UAV) images have been used to estimate the tree height and canopy cover density for a forest stands. More so, UAV systems with autopilot functions, affordable Global Navigation Satellite System (GNSS) and Inertial Measurement Unit (IMU) have created new possibilities, aided by available photogrammetric programs. In this study, we investigated the possibility of data collection methods using an Aerial LIDAR Scanner (ALS) and an UAV together with a fieldworks to evaluate accurate the tree standard metrics in Singyeri, Gyeongjusi, and Gyeongsangbukdo province. The derived metrics via statistical analyses of the ALS and UAV data and validated by field measurements were compared to a published forest type map (scale 1:5000) by the Korea Forest Service; geared towards improving the forest attributes. We collected data and analyzed and compared them with existent the forest type map produced from an aerial photographs and a digital stereo plotter. The ALS data of around 19.5 points*m 2 were collected by an airplane, then processed and classified using the LAStools; while about 362 images of the UAV were processed via Structure from Motion algorithm in the Agisoft Metashape Pro. Thus, we calculated the metrics using the point clouds of both an ALS and an UAV, and then verified their similarity. The fieldwork was manually done on 110 sampled trees. Calculated heights of the UAV were 3.8~5.8 m greater than those for the ALS; and when correlated with the fieldwork, the UAV data overestimated, while the maximum height of the ALS data was more accurate. For the canopy cover, the ALS computed canopy cover was 10%~30% less than that of the UAV. However, the canopy cover above 2 m by an UAV was the best measurement for a forest canopy. Therefore, these results assert that the examined techniques are robust and can significantly complement methods of the conventional data acquisition for the forest type map.
Financial Constraints: Do They Matter to Allocate R&D Subsidies?
Year: 2017

We examine whether subsidies are allocated to financially constrained firms and if they effectively alleviate these constraints. We claim that in addition to the usual "public good" arguments behind the allocation of subsidies, the extent to which firms are able to obtain external funding should not be overlooked. Overall, our results question both the allocation and the effectiveness of subsidies in alleviating financial constraints of firms willing to innovate. Additionally, the decision criteria for allocating public funds seem to be similar from those used by the private investors. These results have important implications on the design of future innovation policy.
Immunotherapy trials in mesothelioma promising results, but don't stop here
Venue: Nature Reviews Clinical Oncology
Year: 2019

In the past few years, several studies have addressed the possibility of using immunotherapies to treat patients with mesothelioma. Herein, we discuss two recent trials, one testing the immune checkpoint inhibitor nivolumab and the other testing a mesothelin directed therapeutic vaccine, and reflect on the advances and challenges remaining in this research area.
Single cell metabolomics by mass spectrometry: Advances, challenges, and future applications
Venue: TrAC Trends in Analytical Chemistry
Year: 2019

Cellular heterogeneity is a phenomenon that is often observed but poorly understood. Single cell metabolomics can provide insights into the phenotypical variations between individual cells. Recent advances in microfluidics, micromanipulation, image analysis, and automation allowed for high throughput isolation of single cells in a minimally disruptive manner as to not affect the cell metabolism. Coupled with new innovations in mass spectrometry based analytical techniques, single cell metabolomics stands at the cusp of becoming an established field. In this review, some of the recent single cell isolation platforms that are especially suited for metabolomics will be highlighted, as well as the recent trends in mass spectrometry based single cell platforms. Additionally, some of the limitations of single cell metabolomics and its recent applications will be briefly discussed.
Preface: International conference on game theory and optimization, June 6 10, 2016, Indian Institute of Technology Madras, Chennai, India
Venue: Ann. Oper. Res.
Year: 2020

A conference cum workshop on Game Theory and Optimization was held at the Indian Institute of Technology Madras, during June 6 10, 2016. One of the primary objectives of the event was to commemorate the 75th birthday of Professor T. Parthasarathy, fondly referred to as TP. A special session was devoted to his life and mathematical career. This provided a platform for many of TP's students and collaborators to share their experiences with the audience. The conference was made possible through funding from the National Mathematics Initiative. Additional funding was received from the Office of Alumni and International Relations, the Departments of Mathematics, and Management Studies, Indian Institute of Technology Madras (IIT Madras) Following is a brief overview of the contributions to this special issue, a biography of Professor TP, and a list of his publications. The Guest Editors would like to thank all the authors,  Chief, Endre Boros, and all referees who provided peer review. This special issue would not have been possible without their valuable time and input.
Pinpointing Patterns of Getting to Know Yourself and Others in Business: Metaprograms as Perceptual Filters on Communication
Year: 2018

This paper aims to extensively use the concept of metaprograms to help professionals enhancetheir communication skills, build rapport, make positive changes, improve team working to boostperformance, work one to one as well as with groups, and reach their goals. On the one hand, used in a business context, it attempts to demonstrate, with clear and practicalexamples, the advantage of applying metaprograms to the workplace in order to overcome barrierstowards success and develop a winning mindset. On the other hand, the study is an engaging guide of how to motivate and inspire through thelanguage you use to lead people to perform. Listening to their language and asking the appropriatequestions help us get clues regarding our interlocutorsaEUR(tm) metaprograms. The outcome is to identify the interactantsaEUR(tm) communicative preferences which can be easilychanged to suit any new situation and can be displayed along several dimensions.
Just Ask: Learning to Answer Questions from Millions of Narrated Videos
Venue: ArXiv
Year: 2020

Modern approaches to visual question answering require large annotated datasets for training. Manual annotation of questions and answers for videos, however, is tedious, expensive and prevents scalability. In this work, we propose to avoid manual annotation and to learn video question answering (VideoQA) from millions of readily available narrated videos. We propose to automatically generate question answer pairs from transcribed video narrations leveraging a state of the art text transformer pipeline and obtain a new large scale VideoQA training dataset. To handle the open vocabulary of diverse answers in this dataset, we propose a training procedure based on a contrastive loss between a video question multi modal transformer and an answer embedding. We evaluate our model on the zero shot VideoQA task and show excellent results, in particular for rare answers. Furthermore, we demonstrate that finetuning our model on target datasets significantly outperforms the state of the art on MSRVTT QA, MSVD QA and ActivityNet QA. Finally, for a detailed evaluation we introduce a new manually annotated VideoQA dataset with reduced language biases and high quality annotations. Our code and datasets will be made publicly available at https:/www.di.ens.fr/willow/research/just ask/
Automated Heartbeat Classification Using 3 D Inputs Based on Convolutional Neural Network With Multi Fields of View
Venue: IEEE Access
Year: 2019

A high performance method of automated heartbeat classification based on Convolutional Neural Network (CNN) is proposed in this paper. To make full use of the electrocardiogram information acquired from different parts of the human body, we present a novel 3 D data structure as the input of the CNN. The 3 D structure consists of multiple feature maps, each of which indicates the information collected from one lead and contains morphological characteristic, RR interval, and beat to beat correlation feature. Besides, atrous spatial pyramid pooling (ASPP) module which uses filters with different resolutions is adopted to extract deep features in multi fields of view. Validated on the MIT BIH arrhythmia database, the proposed method yields an overall accuracy of 91.44% in the inter patient practice. In particular, this method achieves 89.05% and 95.15% in the sensitivities of the supraventricular ectopic beat (SVEB) and ventricular ectopic beat (VEB) classes, respectively. With the high performance in detecting these two pathological classes, this method has potential clinical application.