nils-herrmann/clean_scirepeval huggingface dataset:
Multi object tracking via discriminative appearance modeling
Venue: Comput. Vis. Image Underst.
Year: 2016

Tracking multiple objects is important for automatic video content analysis and virtual reality. Recently, how to formulate data association optimization more effectively to overcome ambiguous detected responses and how to build more effective association affinity model have attracted more concerns. To address these issues, we propose a metric learning and multi cue fusion based hierarchical multiple hypotheses tracking method (MHMHT) which conducts data association more robustly and incorporates more temporal context information. The association appearance similarity is calculated using the distances between feature vectors in each associated tracklet and the salient templates of each track hypothesis, which is then fused with the dynamic similarity calculated according to Kalman filter online to get association affinity. To make appearance similarity more discriminative, the spatial temporal relationships of reliable tracklets in sliding temporal window are used as constraints to learn the discriminative appearance metric which measures the distance between feature vectors and salient templates. The salient templates of generated track hypotheses are updated using an incremental clustering method, considering the high order temporal context information. We evaluate our MHMHT tracker on challenging benchmark datasets. Qualitative and quantitative evaluations demonstrate that the proposed tracking algorithm performs favorably against several state of the art methods.
Multi camera Torso Pose Estimation using Graph Neural Networks
Venue: 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO MAN)
Year: 2020

Estimating the location and orientation of humans is an essential skill for service and assistive robots. To achieve a reliable estimation in a wide area such as an apartment, multiple RGBD cameras are frequently used. Firstly, these setups are relatively expensive. Secondly, they seldom perform an effective data fusion using the multiple camera sources at an early stage of the processing pipeline. Occlusions and partial views make this second point very relevant in these scenarios. The proposal presented in this paper makes use of graph neural networks to merge the information acquired from multiple camera sources, achieving a mean absolute error below 125mm for the location and 10deg for the orientation using low resolution RGB images. The experiments, conducted in an apartment with three cameras, benchmarked two different graph neural network implementations and a third architecture based on fully connected layers. The software used has been released as open source in a public repository1.
High Frequency (10 kHz) Electrical Stimulation of Peripheral Nerves for Treating Chronic Pain: A Double Blind Trial of Presence vs Absence of Stimulation
Venue: Neuromodulation journal of the International Neuromodulation Society
Year: 2018

The study objectives were to perform a clinical audit of patients implanted with 10 kHz spinal cord (SCS) and peripheral nerve (PNS) stimulators for treating chronic pain and to investigate the effect of 10 kHz PNS on pain and other sensory modalities in a double blind cross over trial.
Restauro e rifunzionalizzazione di un'architettura vernacolare in frazione Pont Serrand
Year: 2016

Introduzione La tesi ha per oggetto il progetto di restauro e rifunzionalizzazione di un edificio situato a Pont Serrand, frazione del comune di La Thuile, in provincia di Aosta. L'edificio oggetto di studio e il tipico esempio di un fabbricato di vecchia costruzione che rispecchia molto le tipologie costruttive dell'architettura rurale valdostana, presentando una struttura portante in pietra e legno e un manto di copertura realizzato mediante l'uso di lastre di pietra, chiamate lose. A causa dell'abbandono la casa ha perso il suo ruolo legato alla vita contadina, ma le funzioni dei locali sono chiaramente riconoscibili, pur non essendo l'edificio in un perfetto stato di conservazione. E, infatti, l'unico fabbricato della frazione a non aver mai subito opere di ristrutturazione. La scelta di sviluppare questo progetto nasce principalmente dall'interesse per l'architettura montana e per l'attrazione delle costruzioni realizzate con l'impiego congiunto di pietra e legno. Il lavoro e stato svolto in tre fasi consecutive e connesse tra loro: fase di conoscenza fase di restauro fase di rifunzionalizzazione. La prima fase e consistita in un primo momento nell'analisi del luogo di appartenenza dell'edificio e del suo contesto territoriale, svolgendo ricerche sulla storia del paese, sulle vicende che hanno visto partecipe la frazione, e analizzando le risorse culturali, architettoniche, naturalistiche, di cui dispone il territorio. Successivamente e stato effettuato il rilievo metrico sia dell'esterno che dell'interno dell'edificio, contestuale al rilievo fotografico e accompagnato da vari sopralluoghi. Sono stati, inoltre, analizzati i materiali impiegati e le tecniche costruttive per la realizzazione del fabbricato. La documentazione ottenuta durante la prima fase e stata necessaria per la comprensione di ogni elemento dell'architettura dell'edificio ed e stata la base per lo svolgimento delle fasi successive. Il processo di restauro prevede principalmente la conservazione del bene costruito mediante tecniche di intervento adeguate. Tale fase e stata sviluppata procedendo con l'analisi dei diversi degradi, delle cause agenti, dei relativi meccanismi e degli effetti finali sull'intero complesso. Terminata la fase di analisi del degrado, sono state presentate le varie possibili proposte di intervento per il restauro dell'edificio, con la decisione di eseguire operazioni che non andassero a comportare modifiche consistenti all'intera struttura ed effettuando interventi tali da mantenere il piu possibile i caratteri originari. Per concludere, il progetto di rifunzionalizzazione elaborato prospetta la possibilita di recuperare l'esistente piuttosto che di procedere alla demolizione e alla successiva ricostruzione. In particolare e stata prevista una nuova destinazione d'uso per cercare di migliorare le caratteristiche dell'edificio e per sviluppare la frazione di cui fa parte. La fase iniziale di conoscenza e stata il punto di partenza per la scelta delle funzioni da inserire all'interno del progetto.
Effects of education and poverty on the prevalence of girl child marriage in India: A district level analysis
Venue: Children and Youth Services Review
Year: 2019

Girl child marriage remains widespread in India despite implementation of several policies and programmes to eliminate the practice. This study examines the effects of girls' educational attainment and household poverty on the prevalence of female child marriage at the district level in India. Data are drawn from the 2015 16 National Family Health Survey. Multiple linear regression models were employed to assess the factors of girl child marriage. The results indicate that girls with no schooling and primary level of education are having higher probability of getting married at an early age. However, likelihood of girl child marriage starts declining with secondary level of education. Moreover, higher secondary and higher level of education significantly reduces the prevalence of girl child marriage. Similarly, moving from poorest households to richest households significantly decreases the probability of child marriage. The results suggest that increasing opportunities for girls' education and financial supports to the poor families could be effective strategies towards eliminating the practice of girl child marriage in India.
Correlations of the Vowel Formants in Romanian and Emotional Effects on Formants
Venue: 2019 International Conference on Applied Electronics (AE)
Year: 2019

We have investigated the influence of emotions on the level of correlation of the vowel formants in the Romanian language during dynamic pronunciation. We have used in the analysis the sentence /vine mama/ (mother is coming) which is a commonly used phrase in the daily speech, and we have followed the variations of the vowel correlation, depending on the expressed emotion (joy, sadness, anger and emotional neutrality) The main conclusion that we have drawn is that, regarding emotions with negative valence (sadness and anger) the higher order formants (F3 and F4) show a significantly higher correlation level compared to lower order formants (F1 and F2) Moreover, we have found that the variation of the correlation level of the pairs of formants is more homogeneous when emotional neutrality is expressed.
Decentralized Control of Electric Vehicle Smart Charging for Cost Minimization Considering Temperature and Battery Health
Venue: 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)
Year: 2019

A decentralized optimal control strategy for one electric vehicle is proposed to minimize the charging cost and maximize the customer's profit while considering the temperature effect on lithium ion batteries. To achieve this, we propose a smart bidirectional charging algorithm that exploits the grid to vehicle and vehicle to grid concepts. The decentralized smart charging algorithm takes into account the daily energy price, electric vehicle information, customer needs, the outside air temperature and the temperature of the battery, in order to formulate and solve a non linear constrained optimization problem. The algorithm is tested over several different scenarios considering a daily energy price profile in France. The results obtained show a great efficiency of the decentralized algorithm and significant charging cost reduction compared to the uncontrolled charging.
Experimental Investigation of Fracture Process Zone in Rocks Damaged Under Cyclic Loadings
Year: 2017

Compared with other materials, most rocks generally fail in a brittle fashion rather than exhibiting yielding or purely plastic deformation. However, the initiation and coalescence of micro cracks in the nonlinear region, known as the 'fracture process zone' (FPZ) are the primary reason for fracture propagation in rocks. Different elasticity related models proposed for determining the features of the FPZ have not achieved an adequate understanding of its various fracture patterns. Based on previous experiments and numerical models, micro crack density has been shown to be a function of loading history and to vary depending on whether the loading is monotonic or cyclic. The aim of the study reported here was to examine the different patterns of the FPZ under various types of cyclic loading and to quantitatively define damage and fracture patterns through the grains or rock matrix. Considerable laboratory testing was conducted, and fractured samples were investigated by computerised tomography scanning, supported by thin section analysis. In the study, two different types of cyclic loading were tested: stepped and continuous. A diametral compressive loading was applied at predetermined amplitude and frequency with the continuous cyclic loading. The applied cyclic diametral compressive load was returned to the original level after each step, and at the next step, the amplitude started from zero, with stepped cyclic loading (SCL) An average 30 strength reduction was found due to the SCL and emergence of high micro fracture density in the FPZ. We presume that hard rock breakage techniques will be improved, especially for rock cutting technologies, such as drag bits and oscillating disc cutting, by understanding the effects of cyclic loading on rock strength.
A generalized mean distance based k nearest neighbor classifier
Venue: Expert Syst. Appl.
Year: 2019

K nearest neighbor (KNN) rule is a well known non parametric classifier that is widely used in pattern recognition. However, the sensitivity of the neighborhood size k always seriously degrades the KNN based classification performance, especially in the case of the small sample size with the existing outliers. To overcome this issue, in this article we propose a generalized mean distance based k nearest neighbor classifier (GMDKNN) by introducing multi generalized mean distances and the nested generalized mean distance that are based on the characteristic of the generalized mean. In the proposed method, multi local mean vectors of the given query sample in each class are calculated by adopting its class specific k nearest neighbors. Using the achieved k local mean vectors per class, the corresponding k generalized mean distances are calculated and then used to design the categorical nested generalized mean distance. In the classification phase, the categorical nested generalized mean distance is used as the classification decision rule and the query sample is classified into the class with the minimum nested generalized mean distance among all the classes. Extensive experiments on the UCI and KEEL data sets, synthetic data sets, the KEEL noise data sets and the UCR time series data sets are conducted by comparing the proposed method to the state of art KNN based methods. The experimental results demonstrate that the proposed GMDKNN performs better and has the less sensitiveness to k. Thus, our proposed GMDKNN with the robust and effective classification performance could be a promising method for pattern recognition in some expert and intelligence systems.
Intellectual capital and regions: origins, theoretical foundations and implications for decision makers
Year: 2007

Researchers are increasingly investigating the strategic management of knowledge assets and Intellectual Capital (IC) for a company's performance improvement. We look instead at the role and the relevance of IC at the regional level. Sharing a knowledge based approach to IC and through an intensive and structured literature review, this paper examines the concept of IC in the local systems and regional studies research streams and provides an analysis of the origins and the theoretical foundations of IC and its related components. A clear understanding of the concept is useful both to develop a theory about IC at the regional level and to help regional decision makers to activate and drive regional development dynamics based on the exploitation of their regions' knowledge assets.
LPQ and LDP Descriptors with ML Representation for Kinship verification
Year: 2018

The automatic verification of kinship is a challenging problem that recently attracted much interest in computer vision, the kinship verification has become an active research field due to its potential applications such as organizing photo albums and images annotation, recognizing resemblances among humans and finding of missing children. In this paper, we propose an approach which takes two images as an input then give kinship result (kinship non kinship) as an output.This approach based on the Local Phase Quantization (LPQ) and Local directional pattern (LDP) features descriptors and the ML (Multi Level) representation for the kinship verification from facial images, this work consists six stages which are (i) face preprocessing, (ii) features extraction, (iii) face representation (iv) pair features representation and normalization, (v) features selection and (vi) kinship verification. Experiments are conducted on four public databases (Cornell KinFace, UB Kin database, KinFace I, and KinFace II) The obtained results are good compared with state of the art approaches.
First principles study of structural, magnetic and electronic properties of C doped monoclinic ZrO2
Year: 2015

Using the first principle projector augmented wave potential within the generalized gradient approximation as well as taking into account the on site Coulomb repulsive interaction, the structure, magnetic and electronic properties of N doped monoclinic ZrO 2 have been studied. For N doping in different oxygen sites, the lattice constants a b c and monoclinic b angle are almost equal. The N doped m ZrO 2 is a ferromagnetic half metallic material. The total magnetic moment is mostly contributed by the N atom. Spin splitting occurs between the partial DOS of the up spin and down spin channels for N 2s and 2p states, as well as the hybridization appears between N 2p and O 2p states. The strong ionic bonding character in N doped m ZrO 2 is revealed in the substantial charges transfer from Zr atoms to N and O atoms.
DSSD Deconvolutional Single Shot Detector
Venue: ArXiv
Year: 2017

The main contribution of this paper is an approach for introducing additional context into state of the art general object detection. To achieve this we first combine a state of the art classifier (Residual 101[14] with a fast detection framework (SSD[18] We then augment SSD+Residual 101 with deconvolution layers to introduce additional large scale context in object detection and improve accuracy, especially for small objects, calling our resulting system DSSD for deconvolutional single shot detector. While these two contributions are easily described at a high level, a naive implementation does not succeed. Instead we show that carefully adding additional stages of learned transformations, specifically a module for feed forward connections in deconvolution and a new output module, enables this new approach and forms a potential way forward for further detection research. Results are shown on both PASCAL VOC and COCO detection. Our DSSD with $513 \times 513$ input achieves 81.5% mAP on VOC2007 test, 80.0% mAP on VOC2012 test, and 33.2% mAP on COCO, outperforming a state of the art method R FCN[3] on each dataset.
The Working Alliance in Intervention for Partner Violence Perpetrators: Recent Research and Theory
Venue: Journal of Family Violence
Year: 2006

The working alliance consists of therapist and client agreement on the goals and tasks of therapy, and the therapeutic bond. Measures of the working alliance, assessed during the course of therapy, have consistently predicted positive therapeutic change across various client populations and treatment approaches. This paper reviews recent research highlighting the importance of the working alliance with respect to treatment compliance and outcome in interventions for perpetrators of partner violence. The common promotion and use of confrontational intervention tactics in these interventions and the potentially negative impact of confrontational tactics on the working alliance is also discussed.
Challenges and opportunities for access to legal and safe abortion in Latin America based on the scenarios in Brazil, Argentina, and Uruguay.
Venue: Cadernos de saude publica
Year: 2020

The issue of decriminalization and legalization of abortion sparks controversies of a moral, religious, philosophical, and legal order. Regardless of individual positions, it is the State's duty to guarantee public policies and laws for all women, without discrimination, for them to have the capacity to decide if, when, how often, and with whom they want to have children. States have the duty to prevent avoidable deaths and sequelae from unsafe abortions. Restrictive abortion laws violate the human rights of women and adolescents, including the right to life, the right to physical and psychological integrity, the right to sexual and reproductive health, the right to equality and nondiscrimination, the right to be free of torture and inhumane and degrading treatment, and the right to live a life free of violence, among other rights 1. Due to restrictive laws and policies, every year in the world, approximately 22 million women risk their lives through unsafe abortion procedures, and 47,000 women die from this avoidable cause 2. Some 25% of the world population lives in countries with restrictive abortion laws 3. Women with the greatest risk of death and sequelae from unsafe abortions are young, indigenous, and black and living in poor urban or rural areas with less access to formal education and less information on sexual and reproductive health and contraceptive methods, besides being more exposed to abusive relationships and/or to being victims of sexual violence 4. Latin America is the region of the world with the most restrictive laws and the most induced abortions, most of which in unsafe conditions 5. In countries where access to legal abortion is limited, women turn to unsafe abortion 6, with devastating consequences for their health, lives, and families. Only three countries in the region have laws favorable to legal termination of pregnancy at the woman's request (Cuba, Guyana, and Uruguay) while four countries totally criminalize abortion (El Salvador, Honduras, Nicaragua, and the Dominican Republic) 7. An important aspect in the Latin American scenario is the growing number of women criminally indicted for abortion. Most of these women are reported to authorities by health professionals when they turn to healthcare services for treatment of obstetric complications 8. The agencies for monitoring and overseeing compliance with international human rights treaties have developed a growing interpretation that acknowledges human rights related to sexual and reproductive autonomy. On several occasions, the Committees have recommended that countries revise 1 Ipas Brasil, Rio de Janeiro, Brasil.
Agriculture, Food and Competition Law: Moving the Borders
Year: 2014

The food supply chain accounts for 5 per cent of EU value added and 7 per cent of employment, bringing together the agricultural sector, the food processing and manufacturing industry, wholesale trade, and the distribution sector. Food spending represents about 15 per cent of the average EU household budget. There is no single, homogeneous, and common food supply chain at European level. The length and the degree of complexity of the food supply chains depends on the product and market characteristics.  1 provides a simplified description of food supply chains. On the supply side, for certain raw products, production and processing are closely integrated (for milk or sugar) at local level and the product can be processed and sold through a rather short supply chain to retailers in national markets. For other raw products, for instance for fruit and vegetables, a large number of atomised producers sell locally to many wholesalers who in turn supply many local retailers, especially in south eastern Europe. For manufactured food (such as biscuits and cereal based products) large food manufacturers operate in many national markets but often organise their distribution networks, their marketing and promotion activities along national borders and operate a more or less centralised production system depending inter alia on how expensive it is to transport the product and how necessary it is to adapt it to local markets. On the demand side, wide differences exist between consumers of different Member States in terms of spending, price sensitivity and attachment to brands as is shown by the varied degree of development of the private labels of retailers. Further consumers tend to shop essentially at local stores (distance selling remains limited) Due to these supply and demand characteristics, food markets are first defined by the level in the chain and remain predominantly national or regional in scope. In other words in terms of competition analysis, product markets are usually defined at each level in the chain and geographic markets are often national (eg wholesale supply of many raw and manufactured products) or local (eg retail sales to the end consumer) In order to understand the competition issues arising in the food supply chains, it is worth presenting the market structure at each of the following levels: agricultural, wholesale, processing, manufacturing, and retail levels. Primary/agricultural producers form the least concentrated level in the food supply chain. The most common situation across sectors and Member States is that agricultural producers remain atomised or grouped in small cooperatives. This is particularly true for eastern Member States, where history has created a negative image for farmer organisations which led to a very low degree of penetration of cooperatives (below 25 per cent compared to 40 per cent or above in other Member States) In