Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of a typology of alcohol‐related violence defined by ultimate goals

Purpose. Alcohol-related violence is a serious problem and treatments for high-risk individuals need to be developed. Classification helps to route people into appropriate treatments. Drawing on animal research, we define alcohol-related violence in relation to ultimate goals. We propose three types of violence: (1) violence in the pursuit of material goals, (2) violence in pursuit of social dominance goals, and (3) violence as defence in response to threat. The aim is to explore factors that we expect to relate to this tripartite typology, with the aim of providing a preliminary validation. Method. Participants were 149 young male prisoners who had committed an offence of violence that was alcohol related. Semi-structured interviews elicited information about the offence that enabled classification into one of the three types. Differences between groups were examined at the event level – level of violence during the offence and alcohol consumption before the offence – and at group level – trait aggression, trait anxiety, anger control, and alcohol–aggression outcome expectancies. Results. No differences were found in levels of violence or alcohol consumption. Those whose violence was in the pursuit of material goals were high on trait aggression, trait anger, trait anxiety, and anger suppression. Those who used violence in the pursuit of social dominance showed high trait aggression and trait anger. Those whose violence was a defence in response to threat showed lower trait aggression and trait anger. Conclusion. The findings are discussed in relation to differential group profiles and treatment needs.
Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling

Professionals are continually presented with numerous information sources creating the need to determine their relevance within the huge amount of available information. Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling presents current state-of-the-art developments including case studies, challenges, and trends. Covering topics such as recommender systems, user profiles, and collaborative filtering, this book informs and educates academicians, researchers, and field practitioners on the latest advancements in information retrieval.
Sequential Preoperative Ipsilateral Hepatic Vein Embolization After Portal Vein Embolization to Induce Further Liver Regeneration in Patients With Hepatobiliary Malignancy

Objective:To assess the effect of ipsilateral hepatic vein embolization (HVE) performed after portal vein embolization (PVE) on liver regeneration. Summary Background Data:PVE induces shrinkage of the embolized lobe and compensatory enlargement of the non-embolized lobe, but it does not always induce sufficient liver regeneration. There was no effective method to accelerate liver regeneration in addition to PVE yet. Methods:During a 1-year study period, preoperative HVE were performed on 12 patients who had shown limited liver regeneration after PVE awaiting right hepatectomy. The right hepatic vein was embolized with multiple coils after insertion of vena cava filters or vascular plugs. Results:No HVE procedure-related complications occurred, but embolization of the wrong hepatic vein trunk occurred in 1 patient. The increase in blood liver enzymes after HVE was comparable with that after PVE alone. In 9 patients who underwent hepatectomy, the proportions of future liver remnant volume to total liver volume were 34.8% ± 1.5% before PVE, 39.7% ± 0.6% 1 to 2 weeks after PVE, 44.2% ± 1.1% 2 weeks after HVE, and 64.5% ± 6.2% 1 week after right hepatectomy. Cirrhotic livers showed lower regeneration rates following HVE after PVE and 1 patient underwent hepatectomy 17 months after HVE. Immunohistochemistry showed that apoptosis occurred more in the liver area affected by both PVE and HVE than in that affected by PVE alone. Conclusions:Preoperative sequential application of PVE and HVE seems to be safe and effective in facilitating contralateral liver regeneration by inducing more severe liver damage than PVE alone.
Cross-Lingual Part-of-Speech Tagging through Ambiguous Learning

When Part-of-Speech annotated data is scarce, e.g. for under-resourced languages, one can turn to cross-lingual transfer and crawled dictionaries to collect partially supervised data. We cast this problem in the framework of ambiguous learning and show how to learn an accurate history-based model. Experiments on ten languages show significant improvements over prior state of the art performance.
Heparin-induced thrombocytopenia: diagnosis and management.

Heparin-induced thrombocytopenia (HIT) is an adverse drug reaction characterized by thrombocytopenia and a high risk for venous or arterial thrombosis.1 It is caused by heparin-dependent, platelet-activating antibodies that recognize a “self” protein, platelet factor 4 (PF4), bound to heparin. The resulting platelet activation is associated with increased thrombin generation (Figure). 2 Typically, the platelet count fall begins 5 to 10 days after starting heparin, although a rapid platelet count fall can occur in a patient who has antibodies from recent heparin use.3 Remarkably, transience of HIT antibodies permits safe heparin reexposure in selected patients (for example, heart surgery patients) despite a history of HIT.3,4 Pathogenesis of HIT. HIT antibodies of IgG class bind to multimolecular complexes of platelet factor 4 (PF4) and heparin on platelet surfaces, resulting in platelet activation when the IgG molecules interact with the platelet Fc receptors. Platelet-derived microparticles are generated, which enhance coagulation reactions. In addition, HIT antibodies can activate endothelium and monocytes, exacerbating the procoagulant response. Activation of platelets and increased production of thrombin could explain the high risk of arterial and venous thrombosis in HIT. Reprinted with permission from Greinacher and Warkentin.2 A 61-year-old woman5 with Ray-naud’s phenomenon underwent mechanical aortic valve replacement for aortic insufficiency. She developed persistent vasospasm of fingers and toes after surgery that responded to warming measures. Unfractionated heparin (UFH) prophylaxis was given until postoperative day 4, and warfarin (5, 5, and 2.5 mg) was given from days 2 to 4. On day 8, the patient developed ischemic necrosis of multiple fingers and toes. The platelet count had fallen by 44% from 221×109/L (day 4) to 124×109/L (day 8), and the international normalized ratio (INR) rose to 4.3. The diagnosis of delayed-onset HIT complicated by warfarin-induced digital necrosis was supported …
Feedback to support learning: changes in teachers’ practice and beliefs

There are indications that teachers’ feedback practice is related to beliefs they hold about pupils’ learning and the purpose of feedback. This article presents changes in beliefs and practices of three teachers in lower secondary school taking part in an intervention to improve formative classroom feedback. Data includes interviews, observations and workshop dialogues with the teachers, plus interviews with six pupils (two for each teacher) taking place pre- and post-intervention. Results describe different trajectories, tracing changes in underlying beliefs that highlight the complexity of professional learning as well as the importance of tailoring interventions. The discussion addresses theoretical perspectives of change among teachers and elaborates on results in relation to professional workplace learning.
Influences of 4‐nonylphenol on doublesex‐ and mab‐3–related transcription factor 1 gene expression and vitellogenin mRNA induction of adult rare minnow (Gobiocypris rarus)

The mab‐3 of Caenorhabditis elegans and doublesex of Drosophila are two sex‐determining genes that are found to have only a common DNA binding motif called a doublesex and mab‐3 (DM) domain among phyla. The DM domain regulates some aspects of sexual development such as yolk protein synthesis. In the present study, by using DM degenerate primers' 13 sequences of doublesex and mab‐3–related transcription factor (dmrt), genes were cloned from genomic DNA of rare minnow (Gobiocypris rarus) and expression of dmrt1 was detected only in testis of adult males. In addition, partial sequences of vitellogenin (vtg) and β‐actin genes as comparative expression of genes were cloned from the female liver by degenerate primers based on conserved regions. The vtg mRNA in male liver was induced significantly in concentrations higher than 2μg/L treatments, although adult rare minnow were exposed to nominal concentrations of 2, 10, 50, 250, and 1,250 μg/L 4‐nonylphenol (4‐NP) for 21 d. The dmrt1 mRNA level was significantly downregulated in a dose‐dependent manner in all exposure groups of males. Moreover, other toxic endpoints, including growth, gonadosomatic index, hepatosomatic index, and histopathology, were determined. However, significant effects were observed only at higher exposure concentrations. Therefore, sex‐specific genes such as dmrt1 can be used as a more sensitive biomarker for 4‐NP and for discovering molecular mechanisms underlying toxic response.
Cooperation between Transfer and Analysis in Example-Based Framework

Transfer-Driven Machine Translation (TDMT) is presented as a method which drives the translation processes according to the nature of the input. In TDMT, transfer knowledge is the central knowledge of translation, and various kinds and levels of knowledge are cooperatively applied to input sentences. TDMT effectively utilizes an example-based framework for transfer and analysis knowledge. A consistent framework of examples makes the cooperation between transfer and analysis effective, and efficient translation is achieved. The TDMT prototype system, which translates Japanese spoken dialogs into English, has shown great promise.
Saccular aneurysm formation in curved and bifurcating arteries.

BACKGROUND AND PURPOSE Distinguishing whether forces resulting from the impingement of central blood flow streams at a curved arterial segment or at the apex of an intracranial bifurcation could be important for the understanding of aneurysm formation. Using finite element models, our purpose was to investigate the hemodynamics related to intracranial saccular aneurysm formation through computer simulations. METHODS We present two-dimensional finite element models describing several distinct stages of aneurysm formation in both curved and bifurcating arteries. For each model, a description of the numeric solutions and results are presented. RESULTS Our results suggest that the pressures and shear stresses that develop along the outer (lateral) wall of a curved artery and at the apex of an arterial bifurcation create a hemodynamic state that promotes saccular aneurysm formation. The impingement of the central stream results in greatly increased velocity/pressure gradients and high shear stresses at the apex compared with those in the proximal parent or distal daughter branches. The results also indicate that the maximal pressure generated at the apex of the arterial bifurcation ranges from two to three times the peak luminal pressure in the proximal parent artery. CONCLUSION These data suggest that, in the absence of any underlying disease process, aneurysm development is a mechanically mediated event. These models offer a plausible hypothesis regarding the initiation, growth, and subsequent rupture of saccular intracranial aneurysms as they relate to the hemodynamics of intracranial arterial blood flow.
Single and Cross-domain Polarity Classification using String Kernels

The polarity classification task aims at automatically identifying whether a subjective text is positive or negative. When the target domain is different from those where a model was trained, we refer to a cross-domain setting. That setting usually implies the use of a domain adaptation method. In this work, we study the single and cross-domain polarity classification tasks from the string kernels perspective. Contrary to classical domain adaptation methods, which employ texts from both domains to detect pivot features, we do not use the target domain for training. Our approach detects the lexical peculiarities that characterise the text polarity and maps them into a domain independent space by means of kernel discriminant analysis. Experimental results show state-of-the-art performance in single and cross-domain polarity classification.
Identification of the cis-Acting Endoplasmic Reticulum Stress Response Element Responsible for Transcriptional Induction of Mammalian Glucose-regulated Proteins

When unfolded proteins accumulate in the endoplasmic reticulum (ER), transcription of glucose-regulated proteins (GRPs) representing ER-resident molecular chaperones is markedly induced via the unfolded protein response (UPR) pathway. In contrast to recent progress in the analysis of yeast UPR, bothcis-acting elements and transactivators responsible for mammalian UPR have remained obscure. Here, we analyzed the promoter regions of human GRP78, GRP94, and calreticulin genes and identified a novel element designated the ER stress response element (ERSE). ERSE, with a consensus of CCAATN9CCACG, was shown to be necessary and sufficient for induction of these GRPs. Using yeast one-hybrid screening, we isolated a human cDNA encoding a basic leucine zipper (bZIP) protein, ATF6, as a putative ERSE-binding protein. When overexpressed in HeLa cells, ATF6 enhanced transcription of GRP genes in an ERSE-dependent manner, whereas CREB-RP, another bZIP protein closely related to ATF6, specifically inhibited GRP induction. Endogenous ATF6 constitutively expressed as a 90-kDa protein was converted to a 50-kDa protein in ER-stressed cells, which appeared to be important for the cellular response to ER stress. These results suggest that, as in yeast, bZIP proteins are involved in mammalian UPR, acting through newly defined ERSE.
Feature tracking in VR for cumulus cloud life-cycle studies

Feature tracking in large data sets is traditionally an off-line, batch processing operation while virtual reality typically focuses on highly interactive tasks and applications. This paper presents an approach that uses a combination of off-line preprocessing and interactive visualization in VR to simplify and speed up the identification of interesting features for further study. We couch the discussion in terms of our collaborative research on using virtual reality for cumulus cloud life-cycle studies, where selecting suitable clouds for study is simple for the skilled observer but difficult to formalize. The preprocessing involves identifying individual clouds within the data set through a 4D connected components algorithm, and then saving isosurface, bounding box, and volume information. This information is then interactively visualized in our VR Cloud Explorer with various tools and information displays to identify the most interesting clouds. In a small pilot study, reasonable performance, both in the preprocessing phase and the visualization phase, has been measured.
Multi-phase Copying Garbage Collection in LOGFLOW *

In this paper a new type of copying garbage collectors is presented. The main goal of the modification of the original method was the reduction of the memory area reserved by the collector. The new Multi-phase Copying Garbage Collection (MC-GC) algorithm reserves only a little part of the memory. It works in more than one phases, using all available free memory areas in each phase. Performance measurements show excellent efficiency of the MC-GC implementation in the LOGFLOW parallel Prolog system.
Quality of life of a person with Parkinson's disease and the relationship between the time of evolution and the severity of the disease.

UNLABELLED Parkinson's disease can cause disability and decrease the quality of life in its sufferers. The aim of this study was to evaluate the quality of life of a group of people with Parkinson's disease and whether a relationship exists between time of evolution and severity of the disease. Secondary analysis was carried out on transversal data collected from 40 individuals with Parkinson's disease registered in the Parkinson's Association of Maringá, in Maringá-PR-Brazil. MEASURES three instruments were applied: a socio-demographic questionnaire, the Hoenh and Yahr Scale and the Parkinson's Disease Questionnaire (PDQ-39). According to PDQ-39, men referred to a lower quality of life, although, statistically, there was no significant difference between the two genders. Differences were only observed in the dimensions of "activities of daily living" and "social support", in which men presented higher impairment, and "emotions" and "bodily discomfort", where women showed higher impairment. Furthermore, severity of disease tended to lead to a perception of lower quality of life regarding the dimensions of "activities of daily living" and "cognition", which is relevant to improve clinical guidance and intervention.
Automated reconstruction of tree structures using path classifiers and Mixed Integer Programming

Although tracing linear structures in 2D images and 3D image stacks has received much attention over the years, full automation remains elusive. In this paper, we formulate the delineation problem as one of solving a Quadratic Mixed Integer Program (Q-MIP) in a graph of potential paths, which can be done optimally up to a very small tolerance. We further propose a novel approach to weighting these paths, which results in a Q-MIP solution that accurately matches the ground truth. We demonstrate that our approach outperforms a state-of-the-art technique based on the k-Minimum Spanning Tree formulation on a 2D dataset of aerial images and a 3D dataset of confocal microscopy stacks.
Enhanced Iterative-Deepening Search

Iterative-deepening searches mimic a breadth-first node expansion with a series of depth-first searches that operate with successively extended search horizons. They have been proposed as a simple way to reduce the space complexity of best-first searches like A* from exponential to linear in the search depth. But there is more to iterative-deepening than just a reduction of storage space. As the authors show, the search efficiency can be greatly improved by exploiting previously gained node information. The information management techniques considered here owe much to their counterparts from the domain of two-player games, namely the use of fast-execution memory functions to guide the search. The authors' methods not only save node expansions, but are also faster and easier to implement than previous proposals. >
Fault tolerant control of Large Power Systems subject to sensor failure

Quality of sensor measurements and their availability is highly important in control of power systems. In this paper, we address fault tolerant control of Large Power Systems (LPS) subject to sensor failure. We assume that observability of subsystem encountering with fault is violated, states cannot be estimated by reliance of faulty subsystem. We use a new method for reconfiguration control of the faults which lead to unobservability of subsystems. The method proposes to augment subsystems to obtaining a new subsystem which is observable, and find best subsystems among the other candidates. By hiding the fault from the controller, it allows the nominal controller to remain in the loop. The proposed approach is applied to IEEE 14-bus test case while interactions are considered in nonlinear form. The Simulation results show that the proposed approach works properly.
Zearalenone and Reproductive Function in Farm Animals

Farm animals are exposed to zearalenone through the feed because of the widespread occurrence of this mycotoxin in cereals and clinical reproductive disorders due to mycotoxin effects are often reported in farm animal species. This review describes the metabolism, the mechanistic aspects, the clinical reproductive symptoms and the in vitro effects on functional parameters of oocytes and sperm cells induced by zearalenone and its derivatives in farm animals. The studies on in vitro effects allow to understand the action mechanisms of mycotoxins and, sometime, to explain the in vivo symptoms. The impairment of semen quality and female reproductive function induced by zearalenone could be a factor responsible for the reproductive failure in farm animals.
Preference Elicitation for Group Recommender Systems

In group decision making, users’ behaviour are influenced by their long-term and group-induced preferences. However, how to leverage them is challenging due to their dynamic nature, which is also dependent on the specific group settings. In our work, we employ a group recommendation model that utilizes both types of preferences and we analyze alternative ways of combing them, under diverse group settings. Based on a custom-designed simulation process, we examine the effect of these combinations on the model performance. The experimental results demonstrate that a combination scheme weighing more the long-term preferences is well adapted to the scenarios where the group setting has no impact on users’ preferences, but when users tend to be cooperative or when their preferences diverge in the context of groups, users seem to benefit more from a recommender that quicker adapts to the group-induced preferences, which reflect their newly emerging interests.
The French Depression in the Thirties

In this paper we make the following three claims. (1), in contradiction with the conventional view according to which the French depression was very different to that observed in the US, we argue that there are more similarities than differences between the French and U.S. experiences and therefore a common explanation should be sought. (2), poor growth in technological opportunities appear neither necessary nor sufficient to account for the French depression. (3), changes in institutional and market regulation appear necessary to account for the overall changes observed over the period. Moreover, we show that the size of these institutional changes may by themselves be enough to quantatively explain the French depression. However, at this time, we have no theory to explain the size or the timing of these changes.
Linking Services to Websites by Leveraging Semantic Data

Websites increasingly embed semantic data for search engine optimization. The most common ontology for semantic data, schema.org, is supported by all major search engines and describes over 500 data types, including calendar events, recipes, products, and TV shows. As of today, users wishing to pass this data to their favorite applications, e.g., their calendars, cookbooks, price comparison applications or even smart devices such as TV receivers, rely on cumbersome and error-prone workarounds such as reentering the data or a series of copy and paste operations. In this paper, we present Semantic Data Mediator (SDM), an approach that allows the easy transfer of semantic data to a multitude of services, ranging from web services to applications installed on different devices. SDM extracts semantic data from the currently displayed web page on the client-side, offers suitable services to the user, and by the press of a button, forwards this data to the desired service while doing all the necessary data conversion and service interface adaptation in between. To realize this, we built a reusable repository of service descriptions, data converters, and service adapters, which can be extended by the crowd. Our approach for linking services to websites relies solely on semantic data and does not require any additional support by either website or service developers. We have fully implemented our approach and present a real-world case study demonstrating its feasibility and usefulness.