nils-herrmann/clean_scirepeval huggingface dataset:
Cognitive behavioral therapy for anxiety disorders in youth.
Venue: Child and adolescent psychiatric clinics of North America
Year: 2011

Cognitive behavioral therapies (CBTs) have been shown to be efficacious for the treatment of anxiety disorders in children and adolescents. Randomized clinical trials indicate that approximately two thirds of children treated with CBT will be free of their primary diagnosis at posttreatment. Although several CBT treatment packages have been investigated in youth with diverse anxiety disorders, common core components have been identified. A comprehensive assessment, development of a good therapeutic relationship and working alliance, cognitive restructuring, repeated exposure with reduction of avoidance behavior, and skills training comprise the core procedures for the treatment of anxiety disorders in youth.
Paediatric femur fractures at the emergency department: accidental or not?
Venue: The British journal of radiology
Year: 2016

Only a small proportion of all paediatric fractures is caused by child abuse or neglect, especially in highly prevalent long bone fractures. It can be difficult to differentiate abusive fractures from non abusive fractures. This article focuses on femoral fractures in young children. Based on three cases, this article presents a forensic evidence based approach to differentiate between accidental and non accidental causes of femoral fractures. We describe three cases of young children who were presented to the emergency department because of a suspected femur fracture. Although in all cases, the fracture had a similar location and appearance, the clinical history and developmental stage of the child led to three different conclusions. In the first two cases, an accidental mechanism was a plausible conclusion, although in the second case, neglect of parental supervision was the cause for concern. In the third case, a non accidental injury was diagnosed and appropriate legal prosecution followed. Any doctor treating children should always be aware of the possibility of child abuse and neglect in children with injuries, especially in young and non mobile children presenting with an unknown trauma mechanism. If a suspicion of child abuse or neglect arises, a thorough diagnostic work up should be performed, including a full skeletal survey according to the guidelines of the Royal College of Radiologists and the Royal College of Paediatrics and Child Health. In order to make a good assessment, the radiologist reviewing the skeletal survey needs access to all relevant clinical and social information.
HAQ: Hardware Aware Automated Quantization With Mixed Precision
Venue: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2019

Model quantization is a widely used technique to compress and accelerate deep neural network (DNN) inference. Emergent DNN hardware accelerators begin to support mixed precision (1 8 bits) to further improve the computation efficiency, which raises a great challenge to find the optimal bitwidth for each layer: it requires domain experts to explore the vast design space trading off among accuracy, latency, energy, and model size, which is both time consuming and sub optimal. There are plenty of specialized hardware for neural networks, but little research has been done for specialized neural network optimization for a particular hardware architecture. Conventional quantization algorithm ignores the different hardware architectures and quantizes all the layers in a uniform way. In this paper, we introduce the Hardware Aware Automated Quantization (HAQ) framework which leverages the reinforcement learning to automatically determine the quantization policy, and we take the hardware accelerator's feedback in the design loop. Rather than relying on proxy signals such as FLOPs and model size, we employ a hardware simulator to generate direct feedback signals (latency and energy) to the RL agent. Compared with conventional methods, our framework is fully automated and can specialize the quantization policy for different neural network architectures and hardware architectures. Our framework effectively reduced the latency by 1.4 1.95x and the energy consumption by 1.9x with negligible loss of accuracy compared with the fixed bitwidth (8 bits) quantization. Our framework reveals that the optimal policies on different hardware architectures (i.e. edge and cloud architectures) under different resource constraints (i.e. latency, energy and model size) are drastically different. We interpreted the implication of different quantization policies, which offer insights for both neural network architecture design and hardware architecture design.
Tataan Tektonika Batuan Gunung Api di Komplek Adang Kabupaten Mamuju Provinsi Sulawesi Barat
Year: 2015

Kompleks batuan gunung api Adang di daerah Kabupaten Mamuju, Sulawesi Barat secara lebih detail dapat dikelompokkan menjadi tujuh, yaitu kompleks Tapalang, Ampalas, Adang, Malunda, Karampuang, Sumare, dan Labuan Rano. Komplek Adang merupakan salah satu komplek gunungapi utama yang masih dapat diidentifikasi bentukan morfologinya dengan baik. Komplek ini tersusunatas batuan gunung api basa hingga intermediet yang memiliki nilai laju dosis radiasi cukup tinggi yang disebabkan oleh kandungan mineral radioaktif di dalamnya. Keterdapatan mineral radioaktif pada batuan basaltik andesitik belum pernah dijumpai di Indonesia sehingga hal ini menjadi sangat menarik untuk dilakukan penelitian terutama tataan tektonika pembentukan batuan komplek gunung api tersebut. Tujuan penelitian ini adalah untuk menentukan tipologi magmatik yang terkait dengantataan tektonikanya dengan pendekatan geokimia batuan gunung api menggunakan analisis X Ray Fluorescence (XRF) Batuan gunung api Adang merupakan hasil dari proses vulkanisme suatu komplekgunung api yang memiliki pusat erupsi dan beberapa kubah lava. Batuan tersebut tersusun atas batuan trachyte phonolite dengan afinitas magmatiknya ultrapotasik, Dari data tersebut dapat diinterpretasi bahwa tataan tektonika magmatologinya adalah active continental margin(ACM) Magma asal yang membentuknya dari aktivitas gunung apinya dipengaruhi oleh kerak benua mikro barat daya South West/SW Sulawesi. Adang volcanic complexlocated in Mamuju Region, West Sulawesi can be grouped more detail into seven complexes that are Tapalang, Ampalas, Adang, Malunda, Karampuang, Sumare, and Labuan Rano. Adang complex is one of the main volcanic complexes that still can be identified with good morphological formations. This complex is composed of alkaline volcanic rocks with basic to intermediates composition that have high value of radiation dose rate caused by their radioactive mineral content. Radioactive mineral occurrences on the basaltic andesitic rocks has never been found in Indonesia, so it becomes very interesting to do research mainly tectonic settings of the volcanic rock complex formation. The purpose of this study is to determine magmatiic typology related with the tectonic setting based on volcanic rock geochemi stry using X Ray Fluorences (XRF analysis. Adang volcanic rock is the result of a complex process of volcanism having a volcanic center and several lava domes. They are composed of phonolite to dacite rock, with ultrapotassic affinity, interpretation of data concluded that tectonic setting of magmatism formed in active continental margin (ACM Magmatism source from vulcanic activities influenced by South WestSulawesi micro continental crust.
An algorithmic information theory of consciousness
Venue: Neuroscience of consciousness
Year: 2017

Providing objective metrics of conscious state is of great interest across multiple research and clinical fields from neurology to artificial intelligence. Here we approach this challenge by proposing plausible mechanisms for the phenomenon of structured experience. In earlier work, we argued that the experience we call reality is a mental construct derived from information compression. Here we show that algorithmic information theory provides a natural framework to study and quantify consciousness from neurophysiological or neuroimaging data, given the premise that the primary role of the brain is information processing. We take as an axiom that "there is consciousness" and focus on the requirements for structured experience: we hypothesize that the existence and use of compressive models by cognitive systems, e.g. in biological recurrent neural networks, enables and provides the structure to phenomenal experience. Self awareness is seen to arise naturally (as part of a better model) in cognitive systems interacting bidirectionally with the external world. Furthermore, we argue that by running such models to track data, brains can give rise to apparently complex (entropic but hierarchically organized) data. We compare this theory, named KT for its basis on the mathematical theory of Kolmogorov complexity, to other information centric theories of consciousness. We then describe methods to study the complexity of the brain's output streams or of brain state as correlates of conscious state: we review methods such as (i) probing the brain through its input streams (e.g. event related potentials in oddball paradigms or mutual algorithmic information between world and brain) (ii) analyzing spontaneous brain state, (iii) perturbing the brain by non invasive transcranial stimulation, and (iv) quantifying behavior (e.g. eye movements or body sway)
Finnish Bomb Threats: Offence and Offender Characteristics
Year: 2006

The current explorative study explored the offence and offender characteristics in Finnish bomb threats (N 69) The results showed that the bomb threats were most frequently targeted at restaurants and shopping centres. The offenders almost exclusively used telephones in communicating their threats. Most frequently, it was their own, recognisable phone number. The bomb threats were usually direct and contained very little information. In 29% of the cases, the offender had been at the target location within 24 hours of the bomb threat. The results showed further that a typical person making the bomb threat was a middle aged man with a criminal background, who works at a construction site. The most frequent motive for making the threat was revenge or vandalism. The results also indicated that the offender characteristics cannot be reliably inferred by assessing the target or the threat. The findings are discussed with regard to the previous research on bomb related offences.
RELEVANCE OF STRATEGIC MANAGEMENT THEORY AND RESEARCH FOR SUPPLY CHAIN MANAGEMENT
Year: 2011

This article examines the relevance of several prominent theoretical perspectives in strategic management for supply chain management. The resource based view of the firm, transaction cost economics, organization learning theory and social capital are reviewed for their applicability to important research questions in supply chain management. The work includes a discussion of some common strategic management research methods that can be useful in supply chain management research. The paper concludes that the research in strategic management and supply chain management are complementary and that both fields could benefit from more integration of the work from both.
Student Generated Stop Motion Animation in Science Classes: a Systematic Literature Review
Year: 2020

In recent years, student generated stop motion animations (SMAs) have been employed to support sharing, constructing, and representing knowledge in different science domains and across age groups from pre school to university students. The purpose of this review is to give an overview of research in this field and to synthesize the findings. For this review, 42 publications on student generated SMA dating from 2005 to 2019 were studied. The publications were systematically categorized on learning outcomes, learning processes, learning environment, and student prerequisites. Most studies were of a qualitative nature, and a significant portion (24 out of 42) pertained to student teachers. The findings show that SMA can promote deep learning if appropriate scaffolding is provided, for example, in terms of presenting general strategies, asking questions, and using expert representations. Also, the science concept that is to be presented as a SMA should be self contained, dynamic in nature, and not too difficult to represent. Comparative quantitative studies are needed in order to judge the effectiveness of SMA in terms of both cognitive and non cognitive learning outcomes.
Location Based Contact Time Energy Efficient Routing (LCTEE) Approach for Delay Tolerant Networks
Venue: Wirel. Pers. Commun.
Year: 2019

AbstractMost of the routing algorithm developed for DTN are encounter based algorithms in which some nodes meet with high frequency but for short period of time. Therefore, encounters cannot guarantee transmission of large number of messages during a contact. These methods also suffer from high overheads caused by the unnecessary transmissions and long delays due to suboptimal choices for relay nodes. Therefore, in this paper, we considered a duration based utility instead of frequency to achieve high transmission throughput between nodes. Further, to reduce the overheads, we propose to send multiple copies of a message towards the destination using direction based routing. In addition, we also used threshold based buffer management scheme to reduce overheads and improve packet delivery probability. The simulation results show that our proposed strategy reduces overheads as compared to the previous existing strategies while maintaining comparable delivery probability.
Touch NMR: An NMR Data Processing Application for the iPad.
Year: 2014

Nuclear magnetic resonance (NMR) spectroscopy has become one of the most powerful technologies to aid research in numerous scientific disciplines. With the development of consumer electronics, mobile devices have played increasingly important roles in our daily life. However, there is currently no application available for mobile devices able to perform basic NMR data processing. In this article, we introduce Touch NMR, a free iPad application for basic NMR data processing. It is capable of handling free induction decay data in the Agilent, Bruker, and JEOL Delta formats. It can also accomplish basic NMR data operations, such as fast Fourier transform, phase correction, baseline correction, referencing, peak picking, integration, and others. Furthermore, in Touch NMR, distortionless enhancement by polarization transfer spectral editing, relaxation time fitting, and 2D spectrum displaying with projections in two dimensions are also available. For the purpose of offering users a better experience, multitouc.
Screening of materials with high purity germanium detectors at the Laboratori Nazionali del Gran Sasso
Year: 2017

The Gran Sasso National Laboratories (LNGS) of the National Institute of Nuclear Physics (INFN) are equipped with an underground ultra low background facility namely the SubTErranean Low Level Assay (STELLA) which is in first line dedicated to material screening for the fundamental physics experiments installed in the underground laboratories. The high level of performance of the ultra low level detector systems allows for detecting extremely low radioactivity levels in materials down to the mBq kg 1 level. The installations and experimental setups using ultra low background techniques will be described shortly, and an example of material screening will be discussed.
Deep Learning Based Automated Sports Video Summarization Using Yolo
Year: 2021

This paper proposes a computationally inexpensive method for automatic key event extraction and subsequent summarization of sports videos using scoreboard detection. A database consisting of 1300 images was used to train a supervised learning based object detection algorithm, YOLO (You Only Look Once) Then, for each frame of the video, once the scoreboard was detected using YOLO, the scoreboard was cropped out of the image. After this, image processing techniques were applied on the cropped scoreboard to reduce noise and false positives. Finally, the processed image was passed through an OCR (Optical Character Recognizer) to get the score. A rule based algorithm was run on the output of the OCR to generate the timestamps of key events based on the game. The proposed method is best suited for people who want to analyse the games and want precise timestamps of the occurrence of important events. The performance of the proposed design was tested on videos of Bundesliga, English Premier League, ICC WC 2019, IPL 2019, and Pro Kabaddi League. An average F1 Score of 0.979 was achieved during the simulations. The algorithm is trained on five different classes of three separate games (Soccer, Cricket, Kabaddi) The design is implemented using python 3.7.
An Insider Threat Prediction Model
Venue: TrustBus
Year: 2010

Information systems face several security threats, some of which originate by insiders. This paper presents a novel, interdisciplinary insider threat prediction model. It combines approaches, techniques, and tools from computer science and psychology. It utilizes real time monitoring, capturing the user's technological trait in an information system and analyzing it for misbehavior. In parallel, the model is using data from psychometric tests, so as to assess for each user the predisposition to malicious acts and the stress level, which is an enabler for the user to overcome his moral inhibitions, under the condition that the collection of such data complies with the legal framework. The model combines the above mentioned information, categorizes users, and identifies those that require additional monitoring, as they can potentially be dangerous for the information system and the organization.
Active Testing: An Unbiased Evaluation Method for Distantly Supervised Relation Extraction
Venue: FINDINGS
Year: 2020

Distant supervision has been a widely used method for neural relation extraction for its convenience of automatically labeling datasets. However, existing works on distantly supervised relation extraction suffer from the low quality of test set, which leads to considerable biased performance evaluation. These biases not only result in unfair evaluations but also mislead the optimization of neural relation extraction. To mitigate this problem, we propose a novel evaluation method named active testing through utilizing both the noisy test set and a few manual annotations. Experiments on a widely used benchmark show that our proposed approach can yield approximately unbiased evaluations for distantly supervised relation extractors.
Paediatricians' knowledge, attitude and awareness towards infant oral health care and treatment needs: A cross sectional survey
Year: 2017

Paediatricians examine infants several times during the 1st and 2nd years of life. Parents usually seek paediatricians' guidance in securing their child's normal growth and development. If proper counsel regarding the child's development and eruption of teeth as well as guidance for the prevention of various oral diseases is rendered at this age, better oral health can be attained for these children.  This study aimed to determine and assess the knowledge and treatment needs of paediatricians for infant oral health care (OHC) in Vadodara, Gujarat.  One hundred paediatricians practicing in Vadodara City, registered in the Indian Medical Association, were randomly selected for the study. They were requested to fill an objective questionnaire without providing any infant oral health information. Filled questionnaire pro forma was collected by principle investigator. The descriptive analysis was done for the data.  Out of the 100 paediatricians, ninety returned the questionnaire, with the response rate of 90% Knowledge regarding infant OHC was found to be poor in 60% and average in 40% and attitude regarding the same was found to be poor in 20% average in 60% and good in 20% of the responders. Awareness regarding infant OHC was found to be good in 80% and average in 20% of the paediatricians.  Paediatricians need to update themselves on recent recommendations regarding infant oral health to ensure that all their patients receive timely preventive and restorative dental care. This study showed that there is a need for more communication between the paediatricians and pedodontists so as to deliver better child OHC.
THE CRITERIA OF VISION AND MISSION STATEMENT TO IMPROVE BUSINESS SCHOOL'S PERFORMANCE
Year: 2012

The tendency of vision and mission statement using splendid words without the clarity in the implementation and hard to understand by all members of the organization has make those two statements is good only for embellishment. Instead of they supposed to be directed at the level of institutional strategic planning, the vision and mission statement should also be cascading into operational part in order to attain the institutional best performances. A good vision and mission should be realistic, stating the school's current position and limitation of resources, and be based on the recognition of strengths and weaknesses of the institution. The objective of the study is to identify the criteria of the business school's vision and mission toward better performance. The study conducts through a series of descriptive study to top five Indonesia's business schools. The research stages start with literature surveys of several published article in international journal related with vision and mission statement criteria that have been done by previous researchers in the last five years. Followed by descriptive study through observation, interviews, document reviews, and filling out the questionnaire by the dean or vice dean of academic as well as the quality assurance administrator. The study brings about eleven criteria of vision statement and twenty one criteria of mission statement that must be considered by business school's top management to enhance the global competitiveness. The important finding are that vision and mission statement should not just written in good and proper words, but it also should not use an empty words without meaning and be flexible enough in responding the environmental changes. By implementing such finding from this research, it will be useful as a basis for decision maker in formulating the business school's vision and mission for the foreseeable future.