nils-herrmann/clean_scirepeval huggingface dataset:
Sigma-Delta Modulator Simulation and Analysis Using MatLab

In addition to compatibility with VLSI technology, sigma-delta converters provide high level of reliability and functionality and reduced chip cost. Those characteristics are commonly required in the today wireless communication environment. The objective of this paper is to simulate and analyze the sigma-delta technology which proposed for the implementation in the low-digital-bandwidth voice communication. The results of simulation show the superior performance of the converter compared to the performance of more conventional implementations, such as the delta converters. Particularly, this paper is focused on simulation and comparison between sigma-delta and delta converters in terms of varying signal to noise ratio, distortion ratio and sampling structure.
COLIN: Planning with Continuous Linear Numeric Change

In this paper we describe COLIN, a forward-chaining heuristic search planner, capable of reasoning with COntinuous LINear numeric change, in addition to the full temporal semantics of PDDL2.1. Through this work we make two advances to the state-of-the-art in terms of expressive reasoning capabilities of planners: the handling of continuous linear change, and the handling of duration-dependent effects in combination with duration inequalities, both of which require tightly coupled temporal and numeric reasoning during planning. COLIN combines FF-style forward chaining search, with the use of a Linear Program (LP) to check the consistency of the interacting temporal and numeric constraints at each state. The LP is used to compute bounds on the values of variables in each state, reducing the range of actions that need to be considered for application. In addition, we develop an extension of the Temporal Relaxed Planning Graph heuristic of CRIKEY3, to support reasoning directly with continuous change. We extend the range of task variables considered to be suitable candidates for specifying the gradient of the continuous numeric change effected by an action. Finally, we explore the potential for employing mixed integer programming as a tool for optimising the timestamps of the actions in the plan, once a solution has been found. To support this, we further contribute a selection of extended benchmark domains that include continuous numeric effects. We present results for COLIN that demonstrate its scalability on a range of benchmarks, and compare to existing state-of-the-art planners.
Crisis memes: the importance of templatability to internet culture and freedom of expression

Crisis memes are the ghoulish and satirical posts that spread through social media concurrently with serious journalistic reportage. They are folk productions that respond to challenging events based on thematic and structural templates of popular online image macros. This article explores how templatability is relevant to the underpinnings, development, structure and value of crisis memes. The combination of frivolity and ghoulishness that is typical of crisis memes may be criticized for not being reasoned discourse, reinforcing cultural divides and making use of copyrighted content without permission and in ways that the copyright holder may not wish. However, the value of crisis memes lies not in their content but rather their place as a public voice that sidesteps the constraints of traditional media and as an illustration of freedom of expression that may be threatened by increasingly restrictive copyright regimes. AJPC_2.2_Rintel_253-271.indd 253 10/18/12 7:13:14 PM
Dynamic Fungal Cell Wall Architecture in Stress Adaptation and Immune Evasion.

Deadly infections from opportunistic fungi have risen in frequency, largely because of the at-risk immunocompromised population created by advances in modern medicine and the HIV/AIDS pandemic. This review focuses on dynamics of the fungal polysaccharide cell wall, which plays an outsized role in fungal pathogenesis and therapy because it acts as both an environmental barrier and as the major interface with the host immune system. Human fungal pathogens use architectural strategies to mask epitopes from the host and prevent immune surveillance, and recent work elucidates how biotic and abiotic stresses present during infection can either block or enhance masking. The signaling components implicated in regulating fungal immune recognition can teach us how cell wall dynamics are controlled, and represent potential targets for interventions designed to boost or dampen immunity.
Adversarial vulnerability for any classifier

Despite achieving impressive performance, state-of-the-art classifiers remain highly vulnerable to small, imperceptible, adversarial perturbations. This vulnerability has proven empirically to be very intricate to address. In this paper, we study the phenomenon of adversarial perturbations under the assumption that the data is generated with a smooth generative model. We derive fundamental upper bounds on the robustness to perturbations of any classification function, and prove the existence of adversarial perturbations that transfer well across different classifiers with small risk. Our analysis of the robustness also provides insights onto key properties of generative models, such as their smoothness and dimensionality of latent space. We conclude with numerical experimental results showing that our bounds provide informative baselines to the maximal achievable robustness on several datasets.
Predicting the Severity of Motor Vehicle Accident Injuries in Adana-Turkey Using Machine Learning Methods and Detailed Meteorological Data

Traffic accidents are among the most important issues facing every nation in the world as they cause many deaths and injuries as well as economic losses every year. In this study, the traffic accidents that took place in Adana, have been classified according to injury severity (i.e. fatal or non-fatal) and the factors affecting the accident outcome are investigated. The study included the traffic accident reports kept by Regional Traffic Division and the weather data provided by the Regional Directorate of Meteorology during 2005-2015. Five major machine learning methods (i.e. k-Nearest Neighbor, Naive Bayes, Multilayer Perceptron, Decision Tree, Support Vector Machine) and one statistical method, Logistic Regression, were employed for prediction models and performances of the models as well as the effective parameters were compared. The main objective of the study is to determine how important weather and other phenomena are for the occurrence of traffic accidents. Decision Tree, k-Nearest Neighbor, and Multilayer Perceptron based models yielded higher accuracy in classification of accidents compared to other models. Furthermore, in Area Under Curve based analysis of factor importance, it was determined that Mean Cloudiness, Existence of Traffic Control and Ground Surface Temperature had higher positive effects, while Maximum Temperature and Weather (kept by traffic officers) parameters decreased the accuracy of models.
Anatomic Distribution of Nerves and Microvascular Density in the Human Anterior Vaginal Wall: Prospective Study

The presence of the G-spot (an assumed erotic sensitive area in the anterior wall of the vagina) remains controversial. We explored the histomorphological basis of the G-spot.



Biopsies were drawn from a 12 o'clock direction in the distal- and proximal-third areas of the anterior vagina of 32 Chinese subjects. The total number of protein gene product 9.5-immunoreactive nerves and smooth muscle actin-immunoreactive blood vessels in each specimen was quantified using the avidin-biotin-peroxidase assay.



Vaginal innervation was observed in the lamina propria and muscle layer of the anterior vaginal wall. The distal-third of the anterior vaginal wall had significantly richer small-nerve-fiber innervation in the lamina propria than the proximal-third (p = 0.000) and in the vaginal muscle layer (p = 0.006). There were abundant microvessels in the lamina propria and muscle layer, but no small vessels in the lamina propria and few in the muscle layer. Significant differences were noted in the number of microvessels when comparing the distal- with proximal-third parts in the lamina propria (p = 0.046) and muscle layer (p = 0.002).



Significantly increased density of nerves and microvessels in the distal-third of the anterior vaginal wall could be the histomorphological basis of the G-spot. Distal anterior vaginal repair could disrupt the normal anatomy, neurovascular supply and function of the G-spot, and cause sexual dysfunction.
Fusions in solid tumours: diagnostic strategies, targeted therapy, and acquired resistance

Structural gene rearrangements resulting in gene fusions are frequent events in solid tumours. The identification of certain activating fusions can aid in the diagnosis and effective treatment of patients with tumours harbouring these alterations. Advances in the techniques used to identify fusions have enabled physicians to detect these alterations in the clinic. Targeted therapies directed at constitutively activated oncogenic tyrosine kinases have proven remarkably effective against cancers with fusions involving ALK, ROS1, or PDGFB, and the efficacy of this approach continues to be explored in malignancies with RET, NTRK1/2/3, FGFR1/2/3, and BRAF/CRAF fusions. Nevertheless, prolonged treatment with such tyrosine-kinase inhibitors (TKIs) leads to the development of acquired resistance to therapy. This resistance can be mediated by mutations that alter drug binding, or by the activation of bypass pathways. Second-generation and third-generation TKIs have been developed to overcome resistance, and have variable levels of activity against tumours harbouring individual mutations that confer resistance to first-generation TKIs. The rational sequential administration of different inhibitors is emerging as a new treatment paradigm for patients with tumours that retain continued dependency on the downstream kinase of interest.
Chronotherapy and the molecular clock: Clinical implications in oncology.

The circadian timing system drives daily rhythmic changes in drug metabolism and controls rhythmic events in cell cycle, DNA repair, apoptosis, and angiogenesis in both normal tissue and cancer. Rodent and human studies have shown that the toxicity and anticancer activity of common cancer drugs can be significantly modified by the time of administration. Altered sleep/activity rhythms are common in cancer patients and can be disrupted even more when anticancer drugs are administered at their most toxic time. Disruption of the sleep/activity rhythm accelerates cancer growth. The complex circadian time-dependent connection between host, cancer and therapy is further impacted by other factors including gender, inter-individual differences and clock gene polymorphism and/or down regulation. It is important to take circadian timing into account at all stages of new drug development in an effort to optimize the therapeutic index for new cancer drugs. Better measures of the individual differences in circadian biology of host and cancer are required to further optimize the potential benefit of chronotherapy for each individual patient.
A video game for cyber security training and awareness

Although many of the concepts included in cyber security awareness training are universal, such training often must be tailored to address the policies and requirements of a particular organization. In addition, many forms of training fail because they are rote and do not require users to think about and apply security concepts. A flexible, highly interactive video game, CyberCIEGE, is described as a security awareness tool that can support organizational security training objectives while engaging typical users in an engaging security adventure. The game is now being successfully utilized for information assurance education and training by a variety of organizations. Preliminary results indicate the game can also be an effective addition to basic information awareness training programs for general computer users (e.g., annual awareness training.) a 2006
Virtual reality in mental health

Several virtual reality (VR) applications for the understanding, assessment and treatment of mental health problems have been developed in the last 10 years. The purpose of this review is to outline the current state of virtual reality research in the treatment of mental health problems. PubMed and PsycINFO were searched for all articles containing the words “virtual reality”. In addition a manual search of the references contained in the papers resulting from this search was conducted and relevant periodicals were searched. Studies reporting the results of treatment utilizing VR in the mental health field and involving at least one patient were identified. More than 50 studies using VR were identified, the majority of which were case studies. Seventeen employed a between groups design: 4 involved patients with fear of flying; 3 involved patients with fear of heights; 3 involved patients with social phobia/public speaking anxiety; 2 involved people with spider phobia; 2 involved patients with agoraphobia; 2 involved patients with body image disturbance and 1 involved obese patients. There are both advantages in terms of delivery and disadvantages in terms of side effects to using VR. Although virtual reality based therapy appears to be superior to no treatment the effectiveness of VR therapy over traditional therapeutic approaches is not supported by the research currently available. There is a lack of good quality research on the effectiveness of VR therapy. Before clinicians will be able to make effective use of this emerging technology greater emphasis must be placed on controlled trials with clinically identified populations.
Swallow swarm optimization algorithm: a new method to optimization

This paper presents an exposition of a new method of swarm intelligence–based algorithm for optimization. Modeling swallow swarm movement and their other behavior, this optimization method represents a new optimization method. There are three kinds of particles in this method: explorer particles, aimless particles, and leader particles. Each particle has a personal feature but all of them have a central colony of flying. Each particle exhibits an intelligent behavior and, perpetually, explores its surroundings with an adaptive radius. The situations of neighbor particles, local leader, and public leader are considered, and a move is made then. Swallow swarm optimization algorithm has proved high efficiency, such as fast move in flat areas (areas that there is no hope to find food and, derivation is equal to zero), not getting stuck in local extremum points, high convergence speed, and intelligent participation in the different groups of particles. SSO algorithm has been tested by 19 benchmark functions. It achieved good results in multimodal, rotated and shifted functions. Results of this method have been compared to standard PSO, FSO algorithm, and ten different kinds of PSO.
Heart rate activation during spontaneous arousals from sleep: effect of sleep deprivation

Arousal (AR) from sleep is associated with an autonomic reflex activation raising blood pressure and heart rate (HR). Recent studies indicate that sleep deprivation may affect the autonomic system, contributing to high vascular risk. Since in sleep disorders a sleep fragmentation and a partial sleep deprivation occurs, it could be suggested that the cardiovascular effects observed at AR from sleep might be physiologically affected when associated with sleep deprivation. The aim of the study was to examine the effect of sleep deprivation on cardiac arousal response in healthy subjects.



Seven healthy male subjects participated in a 64 h sleep deprivation protocol. Arousals were classified into four groups, i.e. >3<6 s, >6<10 s, >10<15 s and >15 s, according to their duration. Pre-AR HR values were measured during 10 beats preceding the AR onset, and the event-related HR fluctuations were calculated during the 20 beats following AR onset. As an index of cardiac activation, the ratio of highest HR in the post-AR period over the lowest recorded before AR (HR ratio) was calculated.



For AR lasting less than 10 s, the occurrence of AR induces typical HR oscillations in a bimodal pattern, tachycardia followed by bradycardia. For AR lasting more than 10 s, i.e. awakenings, the pattern was unimodal with a more marked and sustained HR rise. The HR response was consistently similar across nights, during NREM and REM sleep, without difference between conditions.



Overall, total sleep deprivation appeared to have no substantial effect on cardiac response to spontaneous arousals and awakenings from sleep in healthy subjects. Further studies are needed to clarify the role of chronic sleep deprivation on cardiovascular risk in patients with sleep disorders.



In healthy subjects acute prolonged sleep deprivation does not affect the cardiac response to arousal.
Natural Hand Gestures Recognition System for Intelligent HCI: A Survey

Gesture recognition is to recognizing meaningful expressions of motion by a human, involving the hands, arms, face, head, and/or body. Hand Gestures have greater importance in designing an intelligent and efficient human–computer interface. The applications of gesture recognition are manifold, ranging from sign language through medical rehabilitation to virtual reality. In this paper a survey on various recent gesture recognition approaches is provided with particular emphasis on hand gestures. A review of static hand posture methods are explained with different tools and algorithms applied on gesture recognition system, including connectionist models, hidden Markov model, and fuzzy clustering. Challenges and future research directions are also highlighted.
Impaired Autophagy and Defective Mitochondrial Function: Converging Paths on the Road to Motor Neuron Degeneration

Selective motor neuron degeneration is a hallmark of amyotrophic lateral sclerosis (ALS). Around 10% of all cases present as familial ALS (FALS), while sporadic ALS (SALS) accounts for the remaining 90%. Diverse genetic mutations leading to FALS have been identified, but the underlying causes of SALS remain largely unknown. Despite the heterogeneous and incompletely understood etiology, different types of ALS exhibit overlapping pathology and common phenotypes, including protein aggregation and mitochondrial deficiencies. Here, we review the current understanding of mechanisms leading to motor neuron degeneration in ALS as they pertain to disrupted cellular clearance pathways, ATP biogenesis, calcium buffering and mitochondrial dynamics. Through focusing on impaired autophagic and mitochondrial functions, we highlight how the convergence of diverse cellular processes and pathways contributes to common pathology in motor neuron degeneration.
Sophia Observation withdrawal Symptoms-Paediatric Delirium scale: A tool for early screening of delirium in the PICU.

Delirium in critically ill children is a severe neuropsychiatric disorder which has gained increased attention from clinicians. Early identification of delirium is essential for successful management. The Sophia Observation withdrawal Symptoms-Paediatric Delirium (SOS-PD) scale was developed to detect Paediatric Delirium (PD) at an early stage.



The aim of this study was to determine the measurement properties of the PD component of the SOS-PD scale in critically ill children.



A prospective, observational study was performed in patients aged 3 months or older and admitted for more than 48h. These patients were assessed with the SOS-PD scale three times a day. If the SOS-PD total score was 4 or higher in two consecutive observations, the child psychiatrist was consulted to assess the diagnosis of PD using the Diagnostic and Statistical Manual-IV criteria as the "gold standard". The child psychiatrist was blinded to outcomes of the SOS-PD. The interrater reliability of the SOS-PD between the care-giving nurse and a researcher was calculated with the intraclass correlation coefficient (ICC).



A total of 2088 assessments were performed in 146 children (median age 49 months; IQR 13-140). The ICC of 16 paired nurse-researcher observations was 0.90 (95% CI 0.70-0.96). We compared 63 diagnoses of the child psychiatrist versus SOS-PD assessments in 14 patients, in 13 of whom the diagnosis of PD was confirmed. The sensitivity was 96.8% (95% CI 80.4-99.5%) and the specificity was 92.0% (95% CI 59.7-98.9%).



The SOS-PD scale shows promising validity for early screening of PD. Further evidence should be obtained from an international multicentre study.
Using Facebook out of habit

This article may be used for research, teaching, and private study purposes. Any substantial or systematic reproduction, redistribution, reselling, loan, sub-licensing, systematic supply, or distribution in any form to anyone is expressly forbidden. The publisher does not give any warranty express or implied or make any representation that the contents will be complete or accurate or up to date. The accuracy of any instructions, formulae, and drug doses should be independently verified with primary sources. The publisher shall not be liable for any loss, actions, claims, proceedings, demand, or costs or damages whatsoever or howsoever caused arising directly or indirectly in connection with or arising out of the use of this material. This article investigates the uses and gratifications of the popular social networking site Facebook. In the exploratory stage, 70 users generated phrases to describe the manner they used Facebook. Interestingly, some users not only described the uses, but also mentioned how they perceive these uses. These phrases were coded into 14 items and clustered into four factors. The principal component analysis that was conducted in the third stage of the study, which was addressed to 222 Facebook users, verified the validity of the four factors: Social Connection, Social Network Surfing, Wasting Time and Using Applications. Previous user studies on Facebook have examined the immediate social effects of this popular social networking site, but they have not regarded emerging uses of the platform, such as gaming and applications, which do have a social component as a feature and not as a core principle. The 'Wasting Time' factor and the growth of 'Using Applications' factor indicate that Facebook has already become an integral part of daily computing routine, alongside with the rest of the entertainment desktop and web applications. 1.  Social networking sites (SNSs) have become a popular means of organising, growing and maintaining social connections with others. At the same time, the rapid growth and wide adoption of social network sites have spurred scholars' interest in their social impacts (boyd social network sites are 'web-based services that allow individuals to (1) construct a public or semi-public profile within a bounded system, (2) articulate a list of other users with whom they share a connection, and (3) view and traverse their list of connections and those made by others within the system'. Human networks have existed throughout history in various forms (clubs, guilds, political parties, etc.). The first social …
Speaker adaptation of context dependent deep neural networks

There has been little work on examining how deep neural networks may be adapted to speakers for improved speech recognition accuracy. Past work has examined using a discriminatively trained affine transformation of the input features applied at a frame level or the re-training of the entire shallow network for a specific speaker. This work explores how deep neural networks may be adapted to speakers by re-training the input layer, the output layer or the entire network. We look at how L2 regularization using weight decay to the speaker independent model improves generalization. Other training factors are examined including the role momentum plays and stochastic mini-batch versus batch training. While improvements are significant for smaller networks, the largest show little gain from adaptation on a large vocabulary mobile speech recognition task.