Miracle-dz/UniFAR-FTUs huggingface dataset:
Suicide by Fentanyl

Suicide by Fentanyl Fentanyl is a potent, short-acting narcotic analgesic widely used as surgical anaesthetic. This article presents a case in which fentanyl was self-injected by a 41-year old nurse, an employee at the hospital emergency department, who was found dead at home. She had no known history of drug and alcohol abuse. Two syringes, one empty and one filled with a clear liquid, were found near the body, while a needle was stuck into her hand. Toxicological analysis showed fentanyl poisoning. Fentanyl overdose was declared the cause of death and the manner of death was classified as suicide. To our knowledge, death due to the intravenous injection of fentanyl has not previously been reported in Croatia. Samoubojstvo Fentanilom Fentanil je snažan narkotik u velikoj mjeri upotrebljavan kao anestetik pri kirurškim zahvatima. U ovom radu prikazan je slučaj samoubojstva upotrebom fentanila. 41-godišnja medicinska sestra, zaposlena u hitnoj službi pronađena je mrtva u svom stanu. Nije bilo podataka o njezinu zaživotnom uživanju alkohola niti drugih sredstava ovisnosti. Dvije šprice, jedna prazna i druga ispunjena prozirnom tekućinom, pronađene su kraj njezina tijela, dok je igla bila ubodena u njezinu ruku. Toksikološka analiza dala je pozitivan rezultat na fentanil. Uzrok smrti bio je predoziranje fentanilom u svrhu samoubojstva. Prema našim saznanjima, ovo je prvi dokazani slučaj samoubojstva u Hrvatskoj koji je počinjen fentanilom.
Presentation Consistency Issues in Smartphone Mapping Apps

Apple’s introduction of the iPhone 5 and the accompanying iOS6 software environment replaced the use of a mapping App based on Google’s map data with one that makes use of Apple’s map data. It also changed the decisions as to what data is displayed (served to the user) in responses to queries (especially implicit ones through manipulation of the viewing window). These changes led to significant differences in the user experience with apps that make use of map data and resulted in closer scrutiny of mapping applications on mobile devices. Many of these changes in the user experience dealt with the quality of the data produced and presented to the user, and led to a wide-ranging discussion of data quality and the seeming lack of use of quality assurance policies and protocols by Apple at the time of the introduction. These were widely documented in web postings, and were usually fixed soon after disclosure. However, equally important are significant changes in the consistency, as well as the quantity, of the data presented to users users as they browse it especially on mobile devices having a small form factor such as smartphones. In particular, these changes led to this detailed comparative study of all the major Mapping Apps including the iOS5 Mapping App which is the original iPhone Mapping App created for Apple mobile devices by Google; the iOS6, iOS7, and iOS8 family of Mapping Apps created by Apple for its mobile devices to replace the iOS5 Mapping App; the Android Mapping App created by Google for the mobile devices running Google’s Android operating system; and the Windows Phone Mapping App which is an implementation of Nokia’s HERE Maps for Microsoft’s Windows Phone. The comparison also takes into account the iOS Mapping Apps for Bing, ESRI, Nokia, MapQuest, and OpenStreetMap (whose open source map data forms the basis of OpenSeaMap which is used here), as well as one from Google which enables the use of the Google map data in iOS (all of iOS5, iOS6, iOS7, and iOS8).
C OMPARISON OF BER AND N UMBER OF E RRORS WITH D IFFERENT M ODULATION T ECHNIQUES IN MIMO-OFDM W IRELESS C OMMUNICATION S YSTEM

This paper provides analysis of BER and Number of Errors for MIMO-OFDM wireless communication system by using different modulation techniques. Wireless designers constantly seek to improve the spectrum efficiency/capacity, coverage of wireless networks, and link reliability. So the performances of the wireless communication systems can be enhanced by using multiple transmit and receive antennas, which is generally referred to as the MIMO technique. Here analysis will be carried out for an OFDM wireless communication system using different modulation techniques and considering the effect and the wireless channel like AWGN, fading. Performance results will be evaluated numerically and graphically using the plots of BER versus SNR and plots of number of errors versus SNR.
Fast-handoff schemes for application layer mobility management

In order to ensure proper quality of service for real-time communication in a mobile wireless Internet environment it is essential to minimize the transient packet loss when the mobile is moving between different cells (subnets) within a domain. Network layer mobility management schemes have been proposed to provide optimized fast-handoff for multimedia streams during a client's frequent movement within a domain. This paper introduces application layer techniques to achieve fast-handoff for real-time RTP/UDP based multimedia traffic in a SIP signaling environment. These techniques are based on standard SIP components such as user agent and proxy which usually participate to set up and tear down the multimedia sessions between the mobiles. Unlike network layer techniques, application layer techniques do not have to depend upon any additional components such as home agent and foreign agent. It thus provides a network access independent solution suitable for application service providers.
A computational model of adults' performance in naming objects using cross-situational learning

People learn the meaning of words in ambiguous contexts with many possible words for any referent and many referents for any word. Cross-situational learning is an approach to solve this word-to-world mapping problem based on the idea that a learner can determine the meaning of a word by finding something in common across all observed uses of that word. Here we investigate the performance of a simplified variant of the general-purpose Neural Modeling Fields (NMF) categorization mechanism to infer the correct word-referent mapping in a cross-situational learning scenario that simulates experiments with adult subjects. We study two learning situations: the batch-mode learning in which the processing of data requires the memorization of all training examples, and the online learning in which the data processing occurs concomitantly with the exhibition of the examples. A training example consists of a picture of a number of objects accompanied by the utterance of the same number of words. We show that the equations derived to describe the batch-mode learning situation can also be applied to the more realistic online learning situation The resulting online algorithm yields predictions which are both qualitatively and quantitatively in agreement with the experimental results.
Effects of Salience Are Short-Lived

A salient event in the visual field tends to attract attention and the eyes. To account for the effects of salience on visual selection, models generally assume that the human visual system continuously holds information concerning the relative salience of objects in the visual field. Here we show that salience in fact drives vision only during the short time interval immediately following the onset of a visual scene. In a saccadic target-selection task, human performance in making an eye movement to the most salient element in a display was accurate when response latencies were short, but was at chance when response latencies were long. In a manual discrimination task, performance in making a judgment of salience was more accurate with brief than with long display durations. These results suggest that salience is represented in the visual system only briefly after a visual image enters the brain.
a st Ex tr a ct ion of Edge Hi st og r a m in DCT Dom a in b a s ed on MPEG 7

In these days, multimedia data is transmitted and processed in compressed format. Due to the decoding procedure and filtering for edge detection, the feature extraction process of MPEG-7 Edge Histogram Descriptor is time-consuming as well as computationally expensive. To improve efficiency of compressed image retrieval, we propose a new edge histogram generation algorithm in DCT domain in this paper. Using the edge information provided by only two AC coefficients of DCT coefficients, we can get edge directions and strengths directly in DCT domain. The experimental results demonstrate that our system has good performance in terms of retrieval efficiency and effectiveness. Keywords—DCT, Descriptor, EHD, MPEG7.
Dynamic Gomory-Hu Tree Construction - fast and simple

A cut tree (or Gomory-Hu tree) of an undirected weighted graph G=(V,E) encodes a minimum s-t-cut for each vertex pair {s,t} \subseteq V and can be iteratively constructed by n-1 maximum flow computations. They solve the multiterminal network flow problem, which asks for the all-pairs maximum flow values in a network and at the same time they represent n-1 non-crossing, linearly independent cuts that constitute a minimum cut basis of G. Hence, cut trees are resident in at least two fundamental fields of network analysis and graph theory, which emphasizes their importance for many applications. In this work we present a fully-dynamic algorithm that efficiently maintains a cut tree for a changing graph. The algorithm is easy to implement and has a high potential for saving cut computations under the assumption that a local change in the underlying graph does rarely affect the global cut structure. We document the good practicability of our approach in a brief experiment on real world data.
Challenges of designing jointly the backhaul and radio access network in a cloud-based mobile network

In this work, we give an overview of the main challenges that must be tackled to perform a joint design of the backhaul and radio access network in a cloud-based mobile network. The deployment of a very dense network based on small cells connected through a heterogeneous backhaul is a realistic way of achieving a high throughput in a mobile network. But, the non-ideal characteristics of this backhaul and the blurring borders between access and the backhaul networks require a joint design of both, involving the three lower OSI layers. In the physical layer, we consider to use adaptable techniques including In-Network-Processing (INP) and Multi-Point Turbo Detection, as well as Coordinated Beamforming and Joint Network-Channel Coding. Regarding the MAC layer, we pay special attention to partly distributed algorithms operating on smaller time-scales that take into account backhaul constraints and inter-cell interference. Finally, in the network layer we propose the use of cooperative routing schemes that optimize the cell load distribution and admission and congestion control algorithms that use access and backhaul information. Based on these approaches, a joint design of access and backhaul network can be effectively carried out, in order to enable the deployment of small-cells and heterogeneous backhaul.
Seasonal monitoring of sprint and jump performance in a soccer youth academy.

PURPOSE The aim of the study was to longitudinally assess speed and jump performance characteristics of youth football players over a 3 y period. METHODS Two hundred players across five age squads (U12-U16) from an English Football League academy participated. Sprint performance (10 and 30 m) and countermovement jump height were assessed at 6 mo intervals. Pairwise analyses determined the level of change in performance between consecutive intervals. RESULTS Sprint performance changes tended to be greatest during the early teenage years, with observed changes exceeding the smallest worthwhile effect (1.0% for 10 and 30 m sprints). Changes in jump performance were above the smallest worthwhile effect of 1.8% for all but one interval. Large individual variability in the magnitude of change in sprint and jump performance, perhaps due to the confounding effect of growth and maturation, revealed few significant differences across the 6 mo intervals. Cumulative changes in performance demonstrated strong linear relationships, with a yearly rate of change of 6.9% for jump height, and 3.1 and 2.7% for 10 m and 30 m sprint time respectively. The magnitude of change in performance tended not to differ from one interval to another. CONCLUSIONS The results of this study may primarily be used to monitor and predict the rate of progression of youth football players. In addition, these results may be used as a benchmark to evaluate the effectiveness of a current training program.
Work Hard or Play Hard? Degree Class, Student Leadership and Employment Opportunities

We investigated the impact on first hiring outcomes of two main curriculum vitae (CV) characteristics by which graduates with a tertiary education degree distinguish themselves from their peers: degree class and extra-curricular activities. These characteristics were randomly assigned to 2,800 fictitious job applications that were sent to real vacancies in Belgium. Academic performance and extra-curricular engagement both enhanced job interview rates by about 7%. The effect of a higher degree class was driven by female (versus male) candidates and candidates with a master’s (versus a bachelor’s) degree. We did not find evidence for these CV characteristics to be substitutes or to reinforce each other’s effect.
Joint Scheduling and Wireless Network Coding

In this paper, we establish a new framework for network coding in ad hoc wireless networks. First, we consider a simple wireless network topology to illustrate how network coding can improve throughput and energy efficiency objectives beyond routing solutions. Then, we extend the network coding problem to general wireless networks in conjunction with scheduling-based medium access control (MAC). For that purpose, we partition the nodes into disjoint sets of transmitters and receivers that result in conflict-free network realizations with minimum cost (e.g. power) assignments. We separately activate distinct network realizations using a time division mechanism. Then, we specify the content of network flows through network coding and derive transmission schedules to optimize the throughput or energy measures. Next, we present a method of constructing time-varying linear network codes that satisfy the wireless network properties. Also, we verify via numerical results the superior performance of network coding over routing in terms of throughput and energy efficiency.
Acute Thiopurine Overdose: Analysis of Reports to a National Poison Centre 1995–2013

Literature regarding acute human toxicity of thiopurines is limited to a handful of case reports. Our objectives were to describe all cases of overdose with thiopurines reported to the Swiss Toxicological Information Centre between 1995–2013. A retrospective analysis was performed to determine circumstances, magnitude, management and outcome of overdose with these substances. A total of 40 cases (14 paediatric) were reported (azathioprine, n = 35; 6-mercaptopurine, n = 5). Of these, 25 were with suicidal intent, 12 were accidental and 3 were iatrogenic errors. The magnitude of overdose ranged from 1.5 to 43 (median 8) times the usual dose in adults. Twelve cases (30%) had attributable symptoms. The majority of these were minor and included gastrointestinal complaints and liver function test and blood count abnormalities. Symptoms were experienced by patients who took at least 1.5-times their usual daily thiopurine dose. Overdoses over two or more consecutive days, even if of modest size, were less well tolerated. One case of azathioprine and allopurinol co-ingestion over consecutive days led to agranulocytosis. Decontamination measures were undertaken in 11 cases (10 activated charcoal, 1 gastric lavage) and these developed fewer symptoms than untreated patients. This study shows that acute overdoses with thiopurines have a favourable outcome in the majority of cases and provides preliminary evidence that gastrointestinal decontamination with activated charcoal may reduce symptom development after overdose of these substances if patients present to medical services soon after ingestion.
Validity and Reliability of Korean Meta-Pragmatic Language Assessment for Children

배경 및 목적: 본 연구는 만 5세에서 12세 아동의 메타-화용언어능력을 평가하기 위한 도구(KOPLAC)를 개발하고, 도구의 타당도 및 신뢰도를 분석하고자 하였다. 방법: 서울 및 경기에 거주하는 아동 492명(예비검사 222명, 규준검사 270명)을 대상으로 KOPLAC을 실시하였다. 타당도의 검증을 위해 내용타당도, 구인타당도, 공인타당도를.
Exploration of unknown environments with motivational agents

This paper addresses the problem of exploring unknown, dynamic environments with motivational agents. The goal is the acquisition of a model of the environment including models of the entities that populate the environment. We describe the exploration strategy of both single and multiple agents. Each agent performs directed exploration using an action selection method based on the maximization of the intensity of positive feelings and minimization of negative ones. The exploration strategy for multiple agents relies on considering a team leader that integrates the maps and coordinates the actions of the members of the team. We present and discuss the results of an experiment conducted in simulated environments.
Evidence-Based School Counseling

Although school counselors and school counselor educators have an ethical responsibility to use and to teach evidence-based practices (EBPs), recent research has illustrated a lack of EBP in counselor education scholarship. In school counselor education programs, training related to EBP may be absent due to a lack of understanding or instructor training. This article provides a model using three pedagogical approaches for integrating EBP into school counselor education programs. We review the three approaches—stand-alone courses, full program integration, and program–school–community integration—in depth and use a case study to illustrate the application of the three approaches. Implications for school counseling practice and research conclude the article.
Sexual References and Consequences for Heterosexual, Lesbian, Gay, and Bisexual Characters on Television: A Comparison Content Analysis

A content analysis was conducted to examine sexual references and consequences among lesbian, gay, bisexual (LGB), and heterosexual characters on television. The sample was composed of programs portraying an LGB lead or reoccurring character. Results showed that heterosexual and LGB characters engaged in sexual talk and behavior in similar contexts. When discussing LGB sexualities, however, heterosexual characters were disproportionately likely to make jokes; LGB characters were disproportionately likely to discuss coming out. LGB characters depicted in sexual references were more likely to be in dialogue with a heterosexual character than another LGB character. Sexual consequences were more common for heterosexual characters than LGB characters. No gender differences existed in frequency of sexual references or consequences among LGB characters, evidence that the sexual double standard found in previous research may not apply to LGB characters. Results are discussed in terms of potential effects of exposure.
Active Learning for Hidden Attributes in Networks

In many networks, vertices have hidden attributes, or types, that are correlated with the networks topology. If the topology is known but these attributes are not, and if learning the attributes is costly, we need a method for choosing which vertex to query in order to learn as much as possible about the attributes of the other vertices. We assume the network is generated by a stochastic block model, but we make no assumptions about its assortativity or disassortativity. We choose which vertex to query using two methods: 1) maximizing the mutual information between its attributes and those of the others (a well-known approach in active learning) and 2) maximizing the average agreement between two independent samples of the conditional Gibbs distribution. Experimental results show that both these methods do much better than simple heuristics. They also consistently identify certain vertices as important by querying them early on.
Tunneling Nanotubes

Tunneling nanotubes are actin-based cytoplasmic extensions that function as intercellular channels in a wide variety of cell types.There is a renewed and keen interest in the examination of modes of intercellular communication in cells of all types, especially in the field of cancer biology. Tunneling nanotubes –which in the literature have also been referred to as “membrane nanotubes,” “’intercellular’ or ‘epithelial’ bridges,” or “cytoplasmic extensions” – are under active investigation for their role in facilitating direct intercellular communication. These structures have not, until recently, been scrutinized as a unique and previously unrecognized form of direct cell-to-cell transmission of cellular cargo in the context of human cancer. Our recent study of tunneling nanotubes in human malignant pleural mesothelioma and lung adenocarcinomas demonstrated efficient transfer of cellular contents, including proteins, Golgi vesicles, and mitochondria, between cells derived from several well-established cancer cell lines. Further, we provided effective demonstration that such nanotubes can form between primary malignant cells from human patients. For the first time, we also demonstrated the in vivo relevance of these structures in humans, having effectively imaged nanotubes in intact solid tumors from patients. Here we provide further analysis and discussion on our findings, and offer a prospective ‘road map’ for studying tunneling nanotubes in the context of human cancer. We hope that further understanding of the mechanisms, methods of transfer, and particularly the role of nanotubes in tumor-stromal cross-talk will lead to identification of new selective targets for cancer therapeutics.
Detecting pathological speech using local and global characteristics of harmonic-to-noise ratio

This paper proposes an efficient feature extraction method for automatic diagnosis systems to detect pathological subjects using continuous speech. Since continuous speech contains slow and rapid adjustments of vocal mechanisms which relate to initiations and terminations of voicing, the proposed algorithm utilizes both localized temporal characteristics and histogram-based global statistics of harmonic-to-noise ratio (HNR) to efficiently differentiate the key features from phonetic variation. Experimental results show that the proposed method improves the classification error rate by 11.2% (relative) compared to the conventional method using HNR.
Race Classification Based on Facial Features

Human is unique and is an ancestral gift. Biometric recognition system can use race in identifying the human globally with a particular identity. This paper proposes an algorithm for classification of people into three major races namely Caucasoid, Negroid and Mongoloid, which can easily be integrated into any face recognition system. Firstly, the proposed classification method extracts the distinct primary facial feature, skin color model, and the other secondary features such as forehead and lip of the given face to effectively classify the races. Extensive simulations on images obtained from Yale, FERET and other sources exhibit superior performance of the proposed method.
Multi-level neural modelling: an application of object-oriented software engineering

Neu-Model, an ongoing project aimed at developing a neural simulation environment that is extremely computationally powerful and flexible, is described. It is shown that the use of good Software Engineering techniques in Neu-Model’s design and implementation is resulting in a high performance system that is powerful and flexible enough to allow rigorous exploration of brain function at a variety of conceptual levels.