nils-herrmann/clean_scirepeval huggingface dataset:
The Effects of Gender on the Biomechanics of the Hip During Athletic Maneuvers

Females are two to eight times more likely to sustain an ACL injury than males participating in the same sport. The primary mechanism reported for noncontact ACL injury involves landing from a jump, unanticipated change of direction, and/or deceleration activities.  The purpose of this study was to determine if adolescent female athletes perform athletic activities with decreased hip and knee flexion angles, and decreased EMG activity of the gluteus medius relative to their male counterparts.  University Laboratory.  Ten healthy adolescent basketball athletes (5 females, 5 males).  Each participant was instructed to jump over a barrier, land with each foot on a floor-mounted force plate, and cut in a specific direction. Participants made a side cut either to the right or left, or stepped forward into a straight run. Each subject performed fifteen (15) randomized jump, land, and unanticipated cutting maneuvers.  The peak electromyography (EMG) and ground reaction force (GRF) [normalized with body weight] data were analyzed during the landing for the three cutting directions. Kinematic variables include joint angles for the ankle, knee and hip at landing and push off.  Independent samples t-tests examined differences between the genders for dependent variables.  No differences were noted for the left or right EMG amplitudes or muscle onsets. The joint angle in the left ankle (p = 0.019) during peak knee flexion of the left cut demonstrated the females performed tasks with greater dorsiflexion angles than males. However, during the peak GRF of the center cut in the right ankle (p = 0.012) males had greater dorsiflexion. The male participants sustained greater anterior forces in the left leg during the peak knee flexion angle (p = 0.022) and push off (p = 0.040) during the left cut. The male participants sustained lateral forces and female participants sustained medial forces (p = 0.010) during the center cut. The female participants sustained greater anterior forces in the right leg than the males (p = 0.041) during the peak knee flexion angles, and that females sustained anterior forces, while the male’s sustained posterior forces (p = 0.009) in the right leg during peak GRF. The male participants sustained greater medial forces during the peak knee flexion angles (p = 0.031) compared to the female participants.  This study may advance our understanding of potential forces and muscle activation strategies about the ankle, knee, and hip during sport specific activities as our findings suggest women might sustain different forces during landing and cutting.
Computer Vision Report : Text to Image Synthesis

Generative adversarial networks have been shown to generate very realistic images by learning through a min-max game. Furthermore, these models are known to model image spaces more easily when conditioned on class labels. In this work, we consider conditioning on fine-grained textual descriptions, thus also enabling us to produce realistic images that correspond to the input text description. Additionally, we consider the task of learning disentangled representations for images through special latent codes, such that we can move them as knobs to alter the generated image. These latent codes take on very interpretable roles and are learnt in a completely unsupervised manner, using ideas from InfoGAN. We show that the learnt latent codes that encode much more variance and semantic interpretability as compared to standard GANs by experimenting on two datasets.
Aerosol Jet printed 24 GHz end-fire quasi-Yagi-Uda antenna on a 3-D printed cavity substrate

This paper presents an Aerosol Jet printed end-fire antenna operating at 24 GHz on a 3-D printed substrate for the first time. A compact quasi-Yagi-Uda antenna is chosen to achieve end-fire radiation pattern, and is optimized to be directly fed by a 50 Ω microstrip transmission line (MTL) with a balun. The partially metalized substrate serves as the ground plane for the mcirostrip line as well as the reflector for the quasi-Yagi-Uda antenna. Additionally, a cavity is integrated in the back of the substrate to provide low loss, high gain and good efficiency. The simulated performance shows 26.4 dB return loss at 24 GHz, 3.32 dBi of peak gain and 57.7% radiation efficiency. The measurements are carried out over a frequency range of 20 – 30 GHz with the return loss of 14.6 dB at 25.8 GHz. The combination of Aerosol Jet printing and 3-D Polyjet printing processes in this paper demonstrates a good advantage of additive manufacturing technology, which allows for highly efficient fabrication of low-profile antennas and other novel RF circuits.
Methods and Global Environmental Governance

This review analyzes the methods being used and developed in global environmental governance (GEG), an applied field that employs insights and tools from a variety of disciplines both to understand pressing environmental problems and to determine how to address them collectively. We find that methods are often underspecified in GEG research. We undertake a critical review of data collection and analysis in three categories: qualitative, quantitative, and modeling and scenario building. We include examples and references from recent studies to show when and how best to utilize these different methods to conduct problem-driven research. GEG problems are often characterized by institutional and issue complexity, linkages, and multiscalarity that pose challenges for many conventional methodological approaches. As a result, given the large methodological toolbox available to applied researchers, we recommend they adopt a reflective, pluralist, and often collaborative approach when choosing methods appropriate to these challenges. 441 A nn u. R ev . E nv ir on . R es ou rc . 2 01 3. 38 :4 41 -4 71 . D ow nl oa de d fr om w w w .a nn ua lr ev ie w s. or g by P on tif ic ia U ni ve rs id ad J av er ia na o n 12 /1 9/ 13 . F or p er so na l u se o nl y. EG38CH17-ONeill ARI 20 September 2013 14:27
Fusion of WiFi, Smartphone Sensors and Landmarks Using the Kalman Filter for Indoor Localization

Location-based services (LBS) have attracted a great deal of attention recently. Outdoor localization can be solved by the GPS technique, but how to accurately and efficiently localize pedestrians in indoor environments is still a challenging problem. Recent techniques based on WiFi or pedestrian dead reckoning (PDR) have several limiting problems, such as the variation of WiFi signals and the drift of PDR. An auxiliary tool for indoor localization is landmarks, which can be easily identified based on specific sensor patterns in the environment, and this will be exploited in our proposed approach. In this work, we propose a sensor fusion framework for combining WiFi, PDR and landmarks. Since the whole system is running on a smartphone, which is resource limited, we formulate the sensor fusion problem in a linear perspective, then a Kalman filter is applied instead of a particle filter, which is widely used in the literature. Furthermore, novel techniques to enhance the accuracy of individual approaches are adopted. In the experiments, an Android app is developed for real-time indoor localization and navigation. A comparison has been made between our proposed approach and individual approaches. The results show significant improvement using our proposed framework. Our proposed system can provide an average localization accuracy of 1 m.
Enhanced Sentiment Classification of Telugu Text using ML Techniques

With the growing amount of information and availability of opinion-rich resources, it is sometimes difficult for a common man to analyse what others think of. To analyse this information and to see what people in general think or feel of a product or a service is the problem of Sentiment Analysis. Sentiment analysis or Sentiment polarity labelling is an emerging field, so this needs to be accurate. In this paper, we explore various Machine Learning techniques for the classification of Telugu sentences into positive or negative polarities.
Automatic Judgment Prediction via Legal Reading Comprehension

Automatic judgment prediction aims to predict the judicial results based on case materials. It has been studied for several decades mainly by lawyers and judges, considered as a novel and prospective application of artificial intelligence techniques in the legal field. Most existing methods follow the text classification framework, which fails to model the complex interactions among complementary case materials. To address this issue, we formalize the task as Legal Reading Comprehension according to the legal scenario. Following the working protocol of human judges, LRC predicts the final judgment results based on three types of information, including fact description, plaintiffs’ pleas, and law articles. Moreover, we propose a novel LRC model, AutoJudge, which captures the complex semantic interactions among facts, pleas, and laws. In experiments, we construct a real-world civil case dataset for LRC. Experimental results on this dataset demonstrate that our model achieves significant improvement over stateof-the-art models. We will publish all source codes and datasets of this work on github. com for further research.
FaBiO and CiTO: Ontologies for describing bibliographic resources and citations

Semantic publishing is the use of Web and Semantic Web technologies to enhance the meaning of a published journal article, to facilitate its automated discovery, to enable its linking to semantically related articles, to provide access to data within the article in actionable form, and to facilitate integration of data between articles. Recently, semantic publishing has opened the possibility of a major step forward in the digital publishing world. For this to succeed, new semantic models and visualization tools are required to fully meet the specific needs of authors and publishers. In this article, we introduce the principles and architectures of two new ontologies central to the task of semantic publishing: FaBiO, the FRBR-aligned Bibliographic Ontology, an ontology for recording and publishing bibliographic records of scholarly endeavours on the Semantic Web, and CiTO, the Citation Typing Ontology, an ontology for the characterization of bibliographic citations both factually and rhetorically. We present those two models step by step, in order to emphasise their features and to stress their advantages relative to other pre-existing information models. Finally, we review the uptake of FaBiO and CiTO within the academic and publishing communities.
Social media technology usage and customer relationship performance : A capabilities-based examination of social CRM

a r t i c l e i n f o Keywords: Customer relationship management CRM Customer relationship performance Information technology Marketing capabilities Social media technology This study examines how social media technology usage and customer-centric management systems contribute to a firm-level capability of social customer relationship management (CRM). Drawing from the literature in marketing, information systems, and strategic management, the first contribution of this study is the conceptu-alization and measurement of social CRM capability. The second key contribution is the examination of how social CRM capability is influenced by both customer-centric management systems and social media technologies. These two resources are found to have an interactive effect on the formation of a firm-level capability that is shown to positively relate to customer relationship performance. The study analyzes data from 308 organizations using a structural equation modeling approach. Much like marketing managers in the late 1990s through early 2000s, who participated in the widespread deployment of customer relationship management (CRM) technologies, today's managers are charged with integrating nascent technologies – namely, social media applications – with existing systems and processes to develop new capabilities that foster stronger relationships with customers. This merger of existing CRM systems with social media technology has given way to a new concept of CRM that incorporates a more collaborative and network-focused approach to managing customer relationships. The term social CRM has recently emerged to describe this new way of developing and maintaining customer relationships (Greenberg, 2010). Marketing scholars have defined social CRM as the integration of customer-facing activities, including processes, systems, and technologies, with emergent social media applications to engage customers in collaborative conversations and enhance customer relationships (Greenberg, 2010; Trainor, 2012). Organizations are recognizing the potential of social CRM and have made considerable investments in social CRM technology over the past two years. According to Sarner et al. (2011), spending in social CRM technology increased by more than 40% in 2010 and is expected to exceed $1 billion by 2013. Despite the current hype surrounding social media applications, the efficacy of social CRM technology remains largely unknown and underexplored. Several questions remain unanswered, such as: 1) Can social CRM increase customer retention and loyalty? 2) How do social CRM technologies contribute to firm outcomes? 3) What role is played by CRM processes and technologies? As a result, companies are largely left to experiment with their social application implementations (Sarner et al., 2011), and they …
Professional Ethics in Accounting and Auditing

Ethics is a subject that is inclusive to all aspects of human life cover. The growing human and social relationships become more complex, creates new needs are The emergence of various professions, born efforts in response to the requirements and conditions change over time, they gradually shape the evolution and development of the valley. Time and circumstances change and they gradually form evolution and the evolution of a state. The pro due to the necessity of division of labor and specialization of tasks, are becoming increasingly integrated and play their role in improving the general welfare of communities that. The survival Profession and its members are subject to the type and quality of employment services that provides credibility and confidence as a result of providing these Services acquired. The principal asset of every business and maintain its credibility and trust are of paramount importance. This would require would The main goal of every professional duty and its members, community service and personal interest in providing these services framework to interpret Follow although long professional accountancy bodies in different countries, in order to protect the public interest and necessity Accountants to adhere to professional ethics, professional behavior have attempted to formulate regulations, but apparently not alone Professional Conduct Regulations Can not solve the problems of the profession of accounting scandals occur around the world., In this paper, First describe moral and ethical paradigms and professional ethics and the history of ethics is referenced in the following basic features and elements of ethics, ethical decision-making models Thorne, standing ethics And its role in advancement, professional growth and development, professional ethics and ethical guidelines in accounting and auditing are discussed.
Veto players and the structure of budgets in advanced industrialized countries

This article tests expectations generated by the veto players theory with respect to the over time composition of budgets in a multidimensional policy space. The theory predicts that countries with many veto players (i.e., coalition governments, bicameral political systems, presidents with veto) will have difficulty altering the budget structures. In addition, countries that tend to make significant shifts in government composition will have commensurate modifications of the budget. Data collected from 19 advanced industrialized countries from 1973 to 1995 confirm these expectations, even when one introduces socioeconomic controls for budget adjustments like unemployment variations, size of retired population and types of government (minimum winning coalitions, minority or oversized governments). The methodological innovation of the article is the use of empirical indicators to operationalize the multidimensional policy spaces underlying the structure of budgets. The results are consistent with other analyses of macroeconomic outcomes like inflation, budget deficits and taxation that are changed at a slower pace by multiparty governments. The purpose of this article is to test empirically the expectations of the veto players theory in a multidimensional setting. The theory defines ‘veto players’ as individuals or institutions whose agreement is required for a change of the status quo. The basic prediction of the theory is that when the number of veto players and their ideological distances increase, policy stability also increases (only small departures from the status quo are possible) (Tsebelis 1995, 1999, 2000, 2002). The theory was designed for the study of unidimensional and multidimensional policy spaces. While no policy domain is strictly unidimensional, existing empirical tests have only focused on analyzing political economy issues in a single dimension. These studies have confirmed the veto players theory’s expectations (see Bawn (1999) on budgets; Hallerberg & Basinger (1998) on taxes; Tsebelis (1999) on labor legislation; Treisman (2000) on inflation; Franzese (1999) on budget deficits). This article is the first attempt to test whether the predictions of the veto players theory hold in multidimensional policy spaces. We will study a phenomenon that cannot be considered unidimensional: the ‘structure’ of budgets – that is, their percentage composition, and the change in this composition over © European Consortium for Political Research 2004  Garsington Road, Oxford, OX4 2DQ, UK and 350 Main Street, Malden, MA 02148, USA
OVERCONVERGENT MODULAR FORMS AND PERFECTOID SHIMURA CURVES

We give a new construction of overconvergent modular forms of arbitrary weights, defining them in terms of functions on certain affinoid subsets of Scholze’s infinite-level modular curve. These affinoid subsets, and a certain canonical coordinate on them, play a role in our construction which is strongly analogous with the role of the upper half-plane and its coordinate ‘z’ in the classical analytic theory of modular forms. As one application of these ideas, we define and study an overconvergent Eichler-Shimura map in the context of compact Shimura curves over Q, proving stronger analogues of results of Andreatta-Iovita-Stevens.
Syndesmotic Stabilization in Pronation External Rotation Ankle Fractures

Boden et al. suggested syndesmosis fixation was not necessary in distal pronation external rotation (PER) ankle fractures if rigid bimalleolar fracture fixation is achieved and was not necessary with deltoid ligament injury if the fibular fracture is no higher than 4.5 cm of the tibiotalar joint. We asked whether height of the fibular fracture with or without medial stability predicted syndesmotic instability as compared with intraoperative hook testing in these fractures. We reviewed 62 patients (35 male, 27 female) with a mean age of 45.6 years (range, 19-80 years). Using a bone hook applied to the distal fibula with lateral force to the distal fibula in the coronal plane, we fluoroscopically assessed the degree of syndesmosis diastasis in all patients. The mean height of the fibular fracture in patients with a positive hook test was higher than in patients with a negative hook test (54.2 mm; standard deviation [SD], 29.3 versus 34.8 mm; SD, 21.4, respectively). The height of the fibular fracture showed a positive predictive value of 0.93 and a negative predictive value of 0.53 in predicting syndesmotic instability; specificity of the criteria of Boden et al. was high (0.96). However, sensitivity was low (0.39) using the hook test as the gold standard. The criteria of Boden et al. may be helpful in planning, but may have some limitations as a predictor of syndesmotic instability in distal PER ankle fractures.
Review of road traffic control strategies

The full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-pro t purposes provided that: • a full bibliographic reference is made to the original source • a link is made to the metadata record in DRO • the full-text is not changed in any way The full-text must not be sold in any format or medium without the formal permission of the copyright holders. Please consult the full DRO policy for further details.
Production of recombinant proteins by filamentous fungi.

The initial focus of recombinant protein production by filamentous fungi related to exploiting the extraordinary extracellular enzyme synthesis and secretion machinery of industrial strains, including Aspergillus, Trichoderma, Penicillium and Rhizopus species, was to produce single recombinant protein products. An early recognized disadvantage of filamentous fungi as hosts of recombinant proteins was their common ability to produce homologous proteases which could degrade the heterologous protein product and strategies to prevent proteolysis have met with some limited success. It was also recognized that the protein glycosylation patterns in filamentous fungi and in mammals were quite different, such that filamentous fungi are likely not to be the most suitable microbial hosts for production of recombinant human glycoproteins for therapeutic use. By combining the experience gained from production of single recombinant proteins with new scientific information being generated through genomics and proteomics research, biotechnologists are now poised to extend the biomanufacturing capabilities of recombinant filamentous fungi by enabling them to express genes encoding multiple proteins, including, for example, new biosynthetic pathways for production of new primary or secondary metabolites. It is recognized that filamentous fungi, most species of which have not yet been isolated, represent an enormously diverse source of novel biosynthetic pathways, and that the natural fungal host harboring a valuable biosynthesis pathway may often not be the most suitable organism for biomanufacture purposes. Hence it is expected that substantial effort will be directed to transforming other fungal hosts, non-fungal microbial hosts and indeed non microbial hosts to express some of these novel biosynthetic pathways. But future applications of recombinant expression of proteins will not be confined to biomanufacturing. Opportunities to exploit recombinant technology to unravel the causes of the deleterious impacts of fungi, for example as human, mammalian and plant pathogens, and then to bring forward solutions, is expected to represent a very important future focus of fungal recombinant protein technology.
Self-Supervised GAN to Counter Forgetting

GANs involve training two networks in an adversarial game, where each network’s task depends on its adversary. Recently, several works have framed GAN training as an online or continual learning problem [1–6]. We focus on the discriminator, which must perform classification under an (adversarially) shifting data distribution. When trained on sequential tasks, neural networks exhibit forgetting. For GANs, discriminator forgetting leads to training instability . To counter forgetting, we encourage the discriminator to maintain useful representations by adding a self-supervision. Conditional GANs have a similar effect using labels. However, our self-supervised GAN does not require labels, and closes the performance gap between conditional and unconditional models. We show that, in doing so, the self-supervised discriminator learns better representations than regular GANs.