nils-herrmann/clean_scirepeval huggingface dataset:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

Many recent works on knowledge distillation have provided ways to transfer the knowledge of a trained network for improving the learning process of a new one, but finding a good technique for knowledge distillation is still an open problem. In this paper, we provide a new perspective based on a decision boundary, which is one of the most important component of a classifier. The generalization performance of a classifier is closely related to the adequacy of its decision boundary, so a good classifier bears a good decision boundary. Therefore, transferring information closely related to the decision boundary can be a good attempt for knowledge distillation. To realize this goal, we utilize an adversarial attack to discover samples supporting a decision boundary. Based on this idea, to transfer more accurate information about the decision boundary, the proposed algorithm trains a student classifier based on the adversarial samples supporting the decision boundary. Experiments show that the proposed method indeed improves knowledge distillation and achieves the stateof-the-arts performance.
Computation of configuration-space obstacles using the fast Fourier transform

Thh paper presents a new method for computing the configuration-space map of obstacles that is used in motion-planning algorithms. The method derives from the observation that, when the robot is a rigid object that can only translate, the configuration space is a convolution of the workspace and the robot. This convolution is computed with the use of the Fast Fourier Transform (FFT) algorithm. The method is particularly promising for workspaces with many andlor complicated obstacles, or when the shape of the robot is not simple. It is an inherently parallel method that can significantly benefit from existing experience and hardware on the FFT.
Central nervous system control of food intake

New information regarding neuronal circuits that control food intake and their hormonal regulation has extended our understanding of energy homeostasis, the process whereby energy intake is matched to energy expenditure over time. The profound obesity that results in rodents (and in the rare human case as well) from mutation of key signalling molecules involved in this regulatory system highlights its importance to human health. Although each new signalling pathway discovered in the hypothalamus is a potential target for drug development in the treatment of obesity, the growing number of such signalling molecules indicates that food intake is controlled by a highly complex process. To better understand how energy homeostasis can be achieved, we describe a model that delineates the roles of individual hormonal and neuropeptide signalling pathways in the control of food intake and the means by which obesity can arise from inherited or acquired defects in their function.
GTS: A Fast and Scalable Graph Processing Method based on Streaming Topology to GPUs

A fast and scalable graph processing method becomes increasingly important as graphs become popular in a wide range of applications and their sizes are growing rapidly. Most of distributed graph processing methods require a lot of machines equipped with a total of thousands of CPU cores and a few terabyte main memory for handling billion-scale graphs. Meanwhile, GPUs could be a promising direction toward fast processing of large-scale graphs by exploiting thousands of GPU cores. All of the existing methods using GPUs, however, fail to process large-scale graphs that do not fit in main memory of a single machine. Here, we propose a fast and scalable graph processing method GTS that handles even RMAT32 (64 billion edges) very efficiently only by using a single machine. The proposed method stores graphs in PCI-E SSDs and executes a graph algorithm using thousands of GPU cores while streaming topology data of graphs to GPUs via PCI-E interface. GTS is fast due to no communication overhead and scalable due to no data duplication from graph partitioning among machines. Through extensive experiments, we show that GTS consistently and significantly outperforms the major distributed graph processing methods, , Giraph, and PowerGraph, and the state-of-the-art GPU-based method TOTEM.
Abdominal pain in children.

Abdominal pain is one of the most common reasons pediatric patients seek emergency care. The emergency physician must be able to distinguish diagnoses requiring immediate attention from self-limiting processes. Pediatric patients can be challenging, particularly those who are preverbal, and therefore, the clinician must rely on a detailed history from a parent or caregiver as well as a careful physical examination in order to narrow the differential diagnosis. This article highlights several pediatric diagnoses presenting as abdominal pain, including surgical emergencies, nonsurgical diagnoses, and extraabdominal processes, and reviews the clinical presentation, diagnostic evaluation, and management of each.
Features Based IUGR Diagnosis Using Variational Level Set Method and Classification Using Artificial Neural Networks

Intrauterine growth restriction (IUGR) is the failure of the fetus to achieve his/her intrinsic growth potential. IUGR results in significant perinatal and long-term complications, including the development of insulin resistance/metabolic syndrome in adulthood . Accurate and effective monitoring of fetal growth is one of the key component of prenatal care . Ultrasound evaluation is considered the cornerstone of diagnosis and surveillance of the growth-restricted fetus . Ultrasound measurements play a significant role in obstetrics as an accurate means for the estimation of the fetal age. Several parameters are used as aging parameters, the most important of which are the biparietal diameter (BPD), head circumference (HC), abdominal circumference (AC) and femur length (FL). Serial measurement of these parameters over time is used to determine the fetal condition. Hence, consistency and reproducibility of measurements is an important issue. Consequently the automatic segmentation of anatomical structures in ultrasound imagery is a real challenge due to acoustic interferences (speckle noise) and artifacts which are inherent in these images. In this paper, a novel method is proposed for developing a Computer Aided Diagnosis (CAD) system for diagnosis and classification of IUGR foetuses. Diagnosis is performed by segmenting and extracting the required foetus features from an ultrasound image, using the Re-initialization free level set with Reaction Diffusion (RD) technique. An artificial neural network (ANN) classifier is developed, the features extracted are provided to the designed ANN model. The ANN then classifies normal and abnormal fetuses based on features provided.
The pharmacology of lysergic acid diethylamide: a review.

Lysergic acid diethylamide (LSD) was synthesized in 1938 and its psychoactive effects discovered in 1943. It was used during the 1950s and 1960s as an experimental drug in psychiatric research for producing so-called "experimental psychosis" by altering neurotransmitter system and in psychotherapeutic procedures ("psycholytic" and "psychedelic" therapy). From the mid 1960s, it became an illegal drug of abuse with widespread use that continues today. With the entry of new methods of research and better study oversight, scientific interest in LSD has resumed for brain research and experimental treatments. Due to the lack of any comprehensive review since the 1950s and the widely dispersed experimental literature, the present review focuses on all aspects of the pharmacology and psychopharmacology of LSD. A thorough search of the experimental literature regarding the pharmacology of LSD was performed and the extracted results are given in this review. (Psycho-) pharmacological research on LSD was extensive and produced nearly 10,000 scientific papers. The pharmacology of LSD is complex and its mechanisms of action are still not completely understood. LSD is physiologically well tolerated and psychological reactions can be controlled in a medically supervised setting, but complications may easily result from uncontrolled use by layman. Actually there is new interest in LSD as an experimental tool for elucidating neural mechanisms of (states of) consciousness and there are recently discovered treatment options with LSD in cluster headache and with the terminally ill.
The UMD Machine Translation Systems at IWSLT 2015

We describe the University of Maryland machine translation systems submitted to the IWSLT 2015 French-English and Vietnamese-English tasks. We built standard hierarchical phrase-based models, extended in two ways: (1) we applied novel data selection techniques to select relevant information from the large French-English training corpora, and (2) we experimented with neural language models. Our FrenchEnglish system compares favorably against the organizers’ baseline, while the Vietnamese-English one does not, indicating the difficulty of the translation scenario.
A COMPACT Ka-BAND BROADBAND WAVEGUIDE- BASED TRAVELING-WAVE SPATIAL POWER COM- BINER WITH LOW LOSS SYMMETRIC COUPLING STRUCTURE

A compact Ka-band broadband waveguide-based travelingwave spatial power combiner is presented. The low loss micro-strip probes are symmetrically inserted into both broadwalls of waveguide, quadrupling the coupling ways but the insertion loss increases little. The measured 16 dB return-loss bandwidth of the eight-way back-toback structure is from 30 GHz to 39.4 GHz (more than 25%) and the insertion loss is less than 1 dB, which predicts the power-combining efficiency is higher than 90%.
An IoT-based elderly behavioral difference warning system

Today, we are forward to meeting an older people society in the world. The elderly people have become a high risk of dementia or depression. In recent years, with the rapid development of internet of things (IoT) techniques, it has become a feasible solution to build a system that combines IoT and cloud techniques for detecting and preventing the elderly dementia or depression. This paper proposes an IoT-based elderly behavioral difference warning system for early depression and dementia warning. The proposed system is composed of wearable smart glasses, a BLE-based indoor trilateration position, and a cloud-based service platform. As a result, the proposed system can not only reduce human and medical costs, but also improve the cure rate of depression or delay the deterioration of dementia.
Local Similarity Search for Unstructured Text

With the growing popularity of electronic documents, replication can occur for many reasons. People may copy text segments from various sources and make modifications. In this paper, we study the problem of local similarity search to find partially replicated text. Unlike existing studies on similarity search which find entirely duplicated documents, our target is to identify documents that approximately share a pair of sliding windows which differ by no more than τ tokens. Our problem is technically challenging because for sliding windows the tokens to be indexed are less selective than entire documents, rendering set similarity join-based algorithms less efficient. Our proposed method is based on enumerating token combinations to obtain signatures with high selectivity. In order to strike a balance between signature and candidate generation, we partition the token universe and for different partitions we generate combinations composed of different numbers of tokens. A cost-aware algorithm is devised to find a good partitioning of the token universe. We also propose to leverage the overlap between adjacent windows to share computation and thus speed up query processing. In addition, we develop the techniques to support the large thresholds. Experiments on real datasets demonstrate the efficiency of our method against alternative solutions.
Priapism of the clitoris.

Priapism of the clitoris is a rare entity. A case of painful priapism is reported in a patient who had previously suffered a radical cystectomy for bladder carcinoma pT3-GIII, followed by local recurrence in the pelvis. From a symptomatic point of view she showed a good response to conservative treatment (analgesics and anxiolytics), as she refused surgical treatment. She survived 6 months from the recurrence, and died with lung metastases. The priapism did not recur. The physiopathological mechanisms involved in the process are discussed and the literature reviewed.
Türkçe için Kelime Temsillerinin Ö˘ grenimi Learning Word Representations for Turkish

High-quality word representations have been very successful in recent years at improving performance across a variety of NLP tasks. These word representations are the mappings of each word in the vocabulary to a real vector in the Euclidean space. Besides high performance on specific tasks, learned word representations have been shown to perform well on establishing linear relationships among words. The recently introduced skipgram model improved performance on unsupervised learning of word embeddings that contains rich syntactic and semantic word relations both in terms of accuracy and speed. Word embeddings that have been used frequently on English language, is not applied to Turkish yet. In this paper, we apply the skip-gram model to a large Turkish text corpus and measured the performance of them quantitatively with the "question" sets that we generated. The learned word embeddings and the question sets are publicly available at our website. Word embeddings, Natural Language Processing, Deep Learning
Impact of Genetic Polymorphism of Sulpha 3 Transferase Genes ( SULT 1 A ) Genes on the Risk of 4 Females with Breast Cancer in Jordan 5

5 Mona Bustami 1, Abdel-Ellah Al-Shudifat 2, Nagham Hussein 1, Mohannad Yacoub 3, 6 Eiad Atwa 4, Israr Sabri 5, Rania Abu-Hamdah 5, Walid Abu Rayyan 1, Tawfiq Arafat 1, 7 Adnan Badran 1 and Luay Abu-Qatouseh 1,* 8 1 Faculty of Pharmacy, University of Petra, Amman, 11914 Jordan; Mbustami@uop.edu.jo (M.B.); 9 naghamhussein93@gmail.com (N.H.); waburayyan@uop.edu.jo (W.A.R.); tarafat@uop.edu.jo (T.A.), 10 abadran@uop.edu.jo (A.B.) 11 2 Faculty of Medicine, The Hashemite University, Zarqa, 13115 Jordan; ashudaifat@hu.edu.jo 12 3 Medical and Diagnostic Laboratories, specialty Hospital, Amman, 11914 Jordan; m.yacoub@gmail.com 13 4 Al FAIHA/ Life Technologies Business Unit, Middle East Operation, Amman, 11914 Jordan; 14 Eiad_Atwa@yahoo.com 15 5 Faculty of Pharmacy, Nursing and Health Professions), Birzeit University, Birzeit, 627 Palestine; 16 isabri@birzeit.edu (I.S.);  Correspondence: labuqatouseh@uop.edu.jo; Tel.: +962-79-701-2082
Intra- and Intergenomic variation of Ploidy and Clonality characterize Phytophthora capsici on Capsicum sp. in Taiwan

Phytophthora capsici is a devastating disease of pepper (Capsicum sp.) in Taiwan causing complete loss of commercial fields. The objective of this study was to characterize genetic diversity for 38 newly collected isolates and three historical isolates. Analysis of data includes whole genome sequence for two new isolates and for two isolates collected previously in 1987 and 1995. In addition, 63 single nucleotide polymorphism loci were genotyped using targeted-sequencing, revealing 27 unique genotypes. Genotypes fell into three genetic groups: two of the groups contain 90% (n = 33) of the 2016 isolates, are triploid (or higher), are exclusively the A2 mating type and appear to be two distinct clonal lineages. The isolates from 2016 that grouped with the historical isolates are diploid and the A1 mating type. Whole genome sequence revealed that ploidy varies by linkage group, and it appears the A2 clonal lineages may have switched mating type due to increased ploidy. Most of the isolates were recently race-typed on a set of differential C. annuum, and although there was no direct correlation between virulence and ploidy, many of the triploid isolates were less virulent as compared to the historical diploid isolates. The implications for breeding resistant pepper and conducting population analyses are discussed.
CollaboraTV: making television viewing social again

With the advent of video-on-demand services and digital video recorders, the way in which we consume media is undergoing a fundamental change. People today are less likely to watch shows at the same time, let alone the same place. As a result, television viewing, which was once a social activity, has been reduced to a passive and isolated experience. To study this issue, we developed a system called CollaboraTV and demonstrated its ability to support the communal viewing experience through a month-long field study. Our study shows that users understand and appreciate the utility of asynchronous interaction, are enthusiastic about CollaboraTV's engaging social communication primitives and value implicit show recommendations from friends. Our results both provide a compelling demonstration of a social television system and raise new challenges for social television communication modalities.
[Efficacy of psychodynamic short-term psychotherapy for children and adolescents with depression].

Depression is highly prevalent in children and adolescents. Psychodynamic therapies are only insufficiently evaluated in this field although many children and adolescents suffering from depression are treated using this approach. Therefore, the aim of our study was to evaluate the efficacy of psychodynamic short-term psychotherapy (PSTP) for the treatment of depression in children and adolescents. In a waiting-list controlled study, 20 children and adolescents fulfilling diagnosis of major depression or dysthymia were included. The treatment group received 25 sessions of psychodynamic psychotherapy. Main outcome criterion was the Impairment-Score for Children and Adolescents (IS-CA) as well as the Psychic and Social-Communicative Findings Sheet for Children and Adolescents (PSCFS-CA) and the Child Behavior Checklist (CBCL), which were assessed at the beginning and the end of treatment. The statistical and clinical significance of changes in these measures were evaluated. There was a significant advantage of the treatment group compared to the waiting group for the IS-CA. The effect size of the IS-CA total score was 1,3. In contrast to the treatment group, where 20% of the children showed clinically significant and reliable improvement, no subject in the waiting-list control group met this criterion. Comparable results were found for the PSCFS-CA and for the internalising score assessed with the CBCL. The results show that psychodynamic short-term psychotherapy (PSTP) is an effective treatment for depressed children and adolescents. Still, some of the children surely require more intensive treatment.
Deep Feature Compression for Collaborative Object Detection

Recent studies have shown that the efficiency of deep neural networks in mobile applications can be significantly improved by distributing the computational workload between the mobile device and the cloud. This paradigm, termed collaborative intelligence, involves communicating feature data between the mobile and the cloud. The efficiency of such approach can be further improved by lossy compression of feature data, which has not been examined to date. In this work we focus on collaborative object detection and study the impact of both near-lossless and lossy compression of feature data on its accuracy. We also propose a strategy for improving the accuracy under lossy feature compression. Experiments indicate that using this strategy, the communication overhead can be reduced by up to 70% without sacrificing accuracy.
Coherent states, fractals and brain waves

I show that a functional representation of self-similarity (as the one occurring in fractals) is provided by squeezed coherent states. In this way, the dissipative model of brain is shown to account for the self-similarity in brain background activity suggested by power-law distributions of power spectral densities of electrocorticograms. I also briefly discuss the action-perception cycle in the dissipative model with reference to intentionality in terms of trajectories in the memory state space.
Value of Bulk Energy Storage for Managing Wind Power Fluctuations

This paper considers the impact of uncertain wind forecasts on the value of stored energy (such as pumped hydro) in a future U.K. system, where wind supplies over 20% of the energy. Providing more of the increased requirement for reserves from standing reserve sources could increase system operation efficiency, enhance wind power absorption, achieve fuel cost savings, and reduce CO2 emissions. Generally, storage-based standing reserve's value is driven by the amount of installed wind and by generation system flexibility. Benefits are more significant in systems with low generation flexibility and with large installed wind capacity. Storage is uniquely able to stock up generated excesses during high-wind/low-demand periods, and subsequently discharge this energy as needed. When storage is combined with standing reserve provided from conventional generation (e.g., open-cycle gas turbines), it is valuable in servicing the highly frequent smaller imbalances
Substrate integrated waveguide fed LTCC microstrip patch antenna for 94 GHz applications

This paper presents the design, electromagnetic simulation and experimental results of a 94 GHz microstrip patch antenna with four parasitic patches. The structure was designed for a six tape Low Temperature Co-Fired Ceramics process (LTCC). The antenna element is fed by a substrate integrated waveguide, taking advantage of the 3D vertical integration possibilities of the LTCC technology. The measured input matching bandwidth (|S11| <; - 10 dB) is between 89.5 - 95.9 GHz. The measured half-power gain bandwidth is between 80 - 103 GHz.
Flexible Induction Heating Using Magnetic Resonant Coupling

This paper proposes and implements the concept of flexible induction heating based on the magnetic resonant coupling (MRC) mechanism. In conventional induction heating systems, the variation of the relative position between the heater and workpiece significantly deteriorates the heating performance. In particular, the heating effect dramatically reduces with the increase of vertical displacement or horizontal misalignment. This paper utilizes the MRC mechanism to effectuate flexible induction heating; thus, handling the requirements of varying vertical displacement and horizontal misalignment for various cooking styles. Differing from a conventional induction heating, the proposed induction heating adopts one resonant coil in the heater and one resonant coil in the workpiece, which can significantly strengthen the coupling effect, and, hence, the heating effect. Both the simulation and experimental results are given to validate the feasibility and flexibility of the proposed induction heating.