nils-herrmann/clean_scirepeval huggingface dataset:
Managing Knowledge from Big Data Analytics in Product Development

Tushar has over 18 years of experience in the automotive, industrial machinery and process domains. He has assumed multiple roles in the areas of product design and application engineering, across the business consulting, projects delivery and program management functions. He has handled and overseen assignments of high strategic importance across both horizontal and vertical value chains, leading to improved competencies and revenue streams for the organizations. Tushar has a Master's degree in mechanical engineering from IIT, Kanpur, in India and is a certified Six Sigma specialist. He has completed his Green Belt certification from TRW Automotive, USA (a Tier1 auto major), and has a Black Belt certification from Mahindra Satyam. Atul has over 18 years of experience in the automotive, industrial machinery, electro-mechanical, and sensing & control domains. He has handled multiple roles in the areas of new product introduction, product development, engineering services, business process consulting and project management. He has experience in product design and development and NPI, and has managed a number of NPI programs. He has also managed several strategic consulting assignments in the product development and lifecycle management domain for major automotive OEMs. Successful new product introduction is the key to business success. In these recessionary times, it has become increasingly important for all organizations, big or small, to develop and introduce new products more effectively. This can be done through an agile and successful New Product Development (NPD) process that focuses on retrieving and using information and knowledge continuously to tackle challenges. Organizations have recognized the importance of knowledge management in New Product Introduction (NPI). Typically, an NPI process uses a combination of data, information and knowledge as inputs during the various stages. In recent years, organizations have realized the need to tap into the data generated from various sources, and use it in their NPD processes, since such data offers huge potential to improve product performance, bring about efficiency in the product development process, contain costs, and enhance customer experience. In order to benefit from this data, organizations must have a well-defined strategy to collect, store, synthesize, and disseminate it in the form of knowledge required for various business functions. For example, product ideas, customer behavior patterns, Voice of Customer (VoC) data, Quality Function Deployment (QFD) data, and product trends from social networks and listening platforms, can help design product strategy and portfolio. Warranty, quality and testing data, data from Computer Aided Design …
A survey on approaches to anonymity in bitcoin and other cryptocurrencies

Bitcoin is a crypto currency with several advantages over previous approaches. Transactions are con®rmed and stored by a peer-to-peer network in a blockchain. Therefore, all transactions are public and soon solutions where designed to increase privacy in Bitcoin Many come with downsides, like requiring a trusted third-party or requiring modi®cations to Bitcoin. In this paper, we compare these approaches according to several criteria. Based on our ®ndings, CoinJoin emerges as the best approach for anonymizing Bitcoins today.
Glutamate and GABA imbalance following traumatic brain injury.

Traumatic brain injury (TBI) leads to multiple short- and long-term changes in neuronal circuits that ultimately conclude with an imbalance of cortical excitation and inhibition. Changes in neurotransmitter concentrations, receptor populations, and specific cell survival are important contributing factors. Many of these changes occur gradually, which may explain the vulnerability of the brain to multiple mild impacts, alterations in neuroplasticity, and delays in the presentation of posttraumatic epilepsy. In this review, we provide an overview of normal glutamate and GABA homeostasis and describe acute, subacute, and chronic changes that follow injury. We conclude by highlighting opportunities for therapeutic interventions in this paradigm.
Routing Networks: Adaptive Selection of Non-linear Functions for Multi-Task Learning

Multi-task learning (MTL) with neural networks leverages commonalities in tasks to improve performance, but often suffers from task interference which reduces the benefits of transfer. To address this issue we introduce the routing network paradigm, a novel neural network and training algorithm. A routing network is a kind of self-organizing neural network consisting of two components: a router and a set of one or more function blocks. A function block may be any neural network – for example a fully-connected or a convolutional layer. Given an input the router makes a routing decision, choosing a function block to apply and passing the output back to the router recursively, terminating when a fixed recursion depth is reached. In this way the routing network dynamically composes different function blocks for each input. We employ a collaborative multi-agent reinforcement learning (MARL) approach to jointly train the router and function blocks. We evaluate our model against cross-stitch networks and shared-layer baselines on multi-task settings of the MNIST, mini-imagenet, and CIFAR-100 datasets. Our experiments demonstrate a significant improvement in accuracy, with sharper convergence. In addition, routing networks have nearly constant per-task training cost while cross-stitch networks scale linearly with the number of tasks. On CIFAR100 (20 tasks) we obtain cross-stitch performance levels with an 85% reduction in training time.
Critical Points to Determine Persistence Homology

Computation of the simplicial complexes of a large point cloud often relies on extracting a sample, to reduce the associated computational burden. The study considers sampling critical points of a Morse function associated to a point cloud, to approximate the Vietoris-Rips complex or the witness complex and compute persistence homology. The effectiveness of the novel approach is compared with the farthest point sampling, in a context of classifying human face images into ethnics groups using persistence homology.
Cementoblastoma Affecting Mandibular First Molar- A Case Report

Cementoblastoma is a rare odontogenic tumor that has distinct clinical and radiographical features normally suggesting the correct diagnosis. The clinicians and oral pathologists must have in mind several possible differential diagnoses that can lead to a misdiagnosed lesion, especially when unusual clinical features are present. A 21-year-old male presented with dull pain in lower jaw on right side. The clinical inspection of the region was non-contributory to the diagnosis but the lesion could be appreciated on palpation. A swelling was felt in the alveolar region of mandibular premolar-molar on right side. Radiographic examination was suggestive of benign cementoblastoma and the tumor was removed surgically along with tooth. The diagnosis was confirmed by histopathologic study. Although this neoplasm is rare, the dental practitioner should be aware of the clinical, radiographical and histopathological features that will lead to its early diagnosis and treatment.
Pediatric urologic emergencies and urgencies.

The more common urologic problems seen in infancy and childhood that require urgent or emergent pediatric urologic referral are discussed, including a brief description of the usual presenting signs or symptoms, differential diagnoses, proper diagnostic work-up recommended before or at the time of referral, and the usual therapeutic course of management after evaluation by the urologist. These conditions include the acutely swollen scrotum, scrotal masses, penile swelling and erythema, exstrophy, hematuria, urinary retention, abdominal masses, and various genital abnormalities including interlabial masses, hypospadias with any degree of cryptorchidism, and ambiguous genitalia. This article is designed to provide the primary care practitioner with a focused review and a useful resource for managing children who have genitourinary abnormalities in the hospital or clinic setting.
Deconstructing the Cortical Column in the Barrel Cortex

The question of what function is served by the cortical column has occupied neuroscientists since its original description some 60years ago. The answer seems tractable in the somatosensory cortex when considering the inputs to the cortical column and the early stages of information processing, but quickly breaks down once the multiplicity of output streams and their sub-circuits are brought into consideration. This article describes the early stages of information processing in the barrel cortex, through generation of the center and surround receptive field components of neurons that subserve integration of multi whisker information, before going on to consider the diversity of properties exhibited by the layer 5 output neurons. The layer 5 regular spiking (RS) neurons differ from intrinsic bursting (IB) neurons in having different input connections, plasticity mechanisms and corticofugal projections. In particular, layer 5 RS cells employ noise reduction and homeostatic plasticity mechanism to preserve and even increase information transfer, while IB cells use more conventional Hebbian mechanisms to achieve a similar outcome. It is proposed that the rodent analog of the dorsal and ventral streams, a division reasonably well established in primate cortex, might provide a further level of organization for RS cell function and hence sub-circuit specialization.
RDF123: From Spreadsheets to RDF

We describe RDF123, a highly flexible open-source tool for translating spreadsheet data to RDF. Existing spreadsheet-to-rdf tools typically map only to star-shaped RDF graphs, i.e. each spreadsheet row is an instance, with each column representing a property. RDF123, on the other hand, allows users to define mappings to arbitrary graphs, thus allowing much richer spreadsheet semantics to be expressed. Further, each row in the spreadsheet can be mapped with a fairly different RDF scheme. Two interfaces are available. The first is a graphical application that allows users to create their mapping in an intuitive manner. The second is a Web service that takes as input a URL to a Google spreadsheet or CSV file and an RDF123 map, and provides RDF as output.
A Pacific Culture among Wild Baboons: Its Emergence and Transmission

Reports exist of transmission of culture in nonhuman primates. We examine this in a troop of savanna baboons studied since 1978. During the mid-1980s, half of the males died from tuberculosis; because of circumstances of the outbreak, it was more aggressive males who died, leaving a cohort of atypically unaggressive survivors. A decade later, these behavioral patterns persisted. Males leave their natal troops at adolescence; by the mid-1990s, no males remained who had resided in the troop a decade before. Thus, critically, the troop's unique culture was being adopted by new males joining the troop. We describe (a) features of this culture in the behavior of males, including high rates of grooming and affiliation with females and a "relaxed" dominance hierarchy; (b) physiological measures suggesting less stress among low-ranking males; (c) models explaining transmission of this culture; and (d) data testing these models, centered around treatment of transfer males by resident females.
The impact of risk stratification on care coordination

Effective care coordination requires risk stratification, but little evidence has been collected about how it impacts clinicians. This care coordination pilot project created a unique opportunity to observe care coordination activities for 10,000 patients over 18 months, before and after risk stratification. Risk stratification feedback increased care coordination contacts with high-risk patients, without decreasing contacts with low-risk patients. The results of this study provide quantitative evidence of the importance of risk stratification in care coordination.
Characterizing a software process maturity model for small organizations

Software process refers to the set of tools, methods, and practices used to produce a software artifact. The objective of a software process management model is to produce software artifacts according to plans while simultaneously improving the organization's capability to produce better artifacts. The SEI's Capability Maturity Model (CMM) is a software process management model; it assists organizations to provide the infrastructure for achieving a disciplined and mature software process. There is a growing concern that the CMM is not applicable to small firms because it requires a huge investment. In fact, detailed studies of the CMM show that its applications may cost well over $100,000. This article attempts to address the above concern by studying the feasibility of a scaled-down version of the CMM for use in small software firms. The logic for a scaled-down CMM is that the same quantitative quality control principles that work for larger projects can be scaled-down and adopted for smaller ones. Both the CMM and the Personal Software Process (PSP) are briefly described and are used as basis.
Real-time Analysis and Visualization of the YFCC100m Dataset

With the Yahoo Flickr Creative Commons 100 Million (YFCC100m) dataset, a novel dataset was introduced to the computer vision and multimedia research community. To maximize the benefit for the research community and utilize its potential, this dataset has to be made accessible by tools allowing to search for target concepts within the dataset and mechanism to browse images and videos of the dataset. Following best practice from data collections, such as ImageNet and MS COCO, this paper presents means of accessibility for the YFCC100m dataset. This includes a global analysis of the dataset and an online browser to explore and investigate subsets of the dataset in real-time. Providing statistics of the queried images and videos will enable researchers to refine their query successively, such that the users desired subset of interest can be narrowed down quickly. The final set of image and video can be downloaded as URLs from the browser for further processing.
HAGP: A Hub-Centric Asynchronous Graph Processing Framework for Scale-Free Graph

Graph structure which is often used to model the relationship between the data items has drawn more and more attention. The graph datasets from many important domains have the property called scale-free. In the scale-free graphs, there exist the hubs, which have much larger degree than the average value. The hubs may cause the problems of load imbalance, poor scalability and high communication overhead when the graphs are processed in the distributed memory systems. In this paper, we design an asynchronous graph processing framework targeted for distributed memory by considering the hubs as a separate part of the vertexes, which we call it the hub-centric idea. Specifically speaking, a hub-duplicate graph partitioning method is proposed to balance the workload and reduce the communication overhead. At the same time, an efficient asynchronous state synchronization method for the duplicates is also proposed. In addition, a priority scheduling strategy is applied to further reduce the communication overhead.
Gender Dysphoria and Co-Occurring Autism Spectrum Disorders: Review, Case Examples, and Treatment Considerations.

Transgender and gender nonconforming people who fulfill diagnostic criteria for autism spectrum disorders (ASDs) often present to mental health providers with concerns that are distinct from those without ASDs. Gender Dysphoria (GD) and ASDs have been proposed to share etiologic mechanisms and there is evidence that ASDs may be more common in transgender and gender nonconforming people. We explore the impact of ASD characteristics on individual gender identity, expression, and the process of psychotherapy.



The authors present two case studies of high-functioning individuals with ASD and GD diagnoses.



The limited ability to articulate an inner experience, deficits in Theory of Mind (ToM), along with the intolerance of ambiguity as a manifestation of the cognitive rigidity characteristic of ASDs, may present special difficulties to gender identity formation and consolidation and create challenges in psychotherapy.



The authors suggest that ASDs do not preclude gender transition and that individuals with high-functioning ASDs are capable of making informed decisions regarding their medical care and life choices. The authors also consider possible challenges and suggest techniques for assisting such clients in exploring their gender identities.
Modern Non-Pharmacological and Non-Surgical Treatments for Hip Pain

Osteoarthritis of the hip describes a clinical syndrome of joint pain accompanied by varying degrees of functional limitation and reduced quality of life. Osteoarthritis may not be progressive and most patients will not need surgery, with their symptoms adequately controlled by non-surgical measures. The treatment of hip osteoarthritis is aimed at reducing pain and stiffness and improving joint mobility. Total hip replacement remains the most effective treatment option but it is a major surgery with potential serious complications. NICE guideline has suggested a holistic approach to management of hip osteoarthritis which includes both nonpharmacological and pharmacological treatments. The non-pharmacological treatments range from education ,physical therapy and behavioral changes ,walking aids .The ESCAPE( Enabling Self-Management and Coping of Arthritic Pain Through Exercise) rehabilitation programme for hip and knee osteoarthritis which integrates simple education, self-management and coping strategies, with an exercise regimen has shown to be more cost-effective than usual care. There is a choice of reviewed pharmacological treatments available, but there are few current reviews of possible nonpharmacological methods. This review will focus on the non-pharmacological and non-surgical methods.
Regenerative braking characteristics of PMDC motor by applying different armature voltage

Energy saving and prolonging mileage are very important for battery-operated electric vehicles (BEV). For saving energy in BEV's the key parts are regenerative braking performances. Permanent magnet DC (PMDC) motor based regenerative braking can be a solution to improve energy saving efficiency in BEV. In this paper, a novel regenerative braking mechanism based on PMDC motor is proposed. Based on proposed method braking can be achieved by applying different armature voltage from a battery bank without using additional converter with complex switching technique, ultra capacitor, or complex winding-changeover. An experimental setup has been used to evaluate the performance of the proposed braking system. Simulated results prove that the proposed regenerative braking technique is feasible and effective. Also this research provides simplest system for regenerative braking using PMDC motor to improve the mileage of electric vehicles.
The Effect of Proprioceptive Neuromuscular Facilitation Therapy on Pain and
Function

The present study examined the effects of treatment using PNF extension techniques on the pain, pressure pain, and neck and shoulder functions of the upper trapezius muscles of myofascial pain syndrome (MPS) patients.  Thirty-two patients with MPS in the upper trapezius muscle were divided into two groups: a PNF group (n=16), and a control group (n=16)  The PNF group received upper trapezius muscle relaxation therapy and shoulder joint stabilizing exercises. Subjects in the control group received only the general physical therapies for the upper trapezius muscles. Subjects were measured for pain on a visual analog scale (VAS), pressure pain threshold (PPT), the neck disability index (NDI), and the Constant-Murley scale (CMS).  None of the VAS, PPT, and NDI results showed significant differences between the groups, while performing postures, internal rotation, and external rotation among the CMS items showed significant differences between the groups.  Exercise programs that apply PNF techniques can be said to be effective at improving the function of MPS patients.
NASA-TASK LOAD INDEX ( NASA-TLX ) ; 20 YEARS LATER

NASA-TLX is a multi-dimensional scale designed to obtain workload estimates from one or more operators while they are performing a task or immediately afterwards. The years of research that preceded subscale selection and the weighted averaging approach resulted in a tool that has proven to be reasonably easy to use and reliably sensitive to experimentally important manipulations over the past 20 years. Its use has spread far beyond its original application (aviation), focus (crew complement), and language (English). This survey of 550 studies in which NASA-TLX was used or reviewed was undertaken to provide a resource for a new generation of users. The goal was to summarize the environments in which it has been applied, the types of activities the raters performed, other variables that were measured that did (or did not) covary, methodological issues, and lessons learned
Differential Emotions and the Stock Market - The Case of Company-specific Trading

Practitioners and researchers alike increasingly use social media messages as an additional source of information to analyse stock price movements. In this regard, previous preliminary findings demonstrate the incremental value of considering the multi-dimensional structure of human emotions in sentiment analysis instead of the predominant assessment of the binary positive-negative valence of emotions. Therefore, based on emotion theory and an established sentiment lexicon, we develop and apply an open source dictionary for the analysis of seven different emotions (affection, happiness, satisfaction, fear, anger, depression, and contempt).To investigate the connection between the differential emotions and stock movements we analyse approximately 5.5 million Twitter messages on 33 S&P 100 companies and their respective NYSE stock prices from Yahoo!Finance over a period of three months. Subsequently, we conduct a lagged fixed-effects panel regression on the daily closing value differences. The results generally support the assumption of the necessity of considering a more differentiated sentiment. Moreover, comparing positive and negative valence, we find that only the average negative emotionality strength has a significant connection with company-specific stock price movements. The emotion specific analysis reveals that an increase in depression and happiness strength is associated with a significant decrease in company-specific stock prices.
A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity

We present a mixed-mode analog/digital VLSI device comprising an array of leaky integrate-and-fire (I&F) neurons, adaptive synapses with spike-timing dependent plasticity, and an asynchronous event based communication infrastructure that allows the user to (re)configure networks of spiking neurons with arbitrary topologies. The asynchronous communication protocol used by the silicon neurons to transmit spikes (events) off-chip and the silicon synapses to receive spikes from the outside is based on the "address-event representation" (AER). We describe the analog circuits designed to implement the silicon neurons and synapses and present experimental data showing the neuron's response properties and the synapses characteristics, in response to AER input spike trains. Our results indicate that these circuits can be used in massively parallel VLSI networks of I&F neurons to simulate real-time complex spike-based learning algorithms.