Miracle-dz/UniFAR-FTUs huggingface dataset:
Sexting: prevalencia, características personales y conductuales y efectos en una muestra de adolescentes en España

La cruzada originariamente emprendida en Estados Unidos contra los predadores sexuales adultos con la generalizacion de las tecnologias de la informacion se ha dirigido despues contra los propios adolescentes, a quienes se ha sancionado penalmente por realizar conductas como el sexting o el envio de textos o imagenes de contenido sexual a traves de telefonos moviles u otros mecanismos tecnologicos. La aproximacion punitivista norteamericana podria alcanzar a Europa, incriminandose tambien aqui las conductas de sexting emprendidas por adolescentes. Esta investigacion, efectuada en Espana con una muestra de 489 estudiantes de secundaria entre 14 y 18 anos, se ha emprendido para conocer la prevalencia vital de intervencion de los adolescentes en el sexting. Junto a este objetivo, tambien se determina en ella el perfil de los participantes y las caracteristicas de las conductas de sexting, asi como las motivaciones para emprenderlas y los efectos emocionales que producen.
Limitations of Coronary Computed Tomography Angiography in Predicting Acute Coronary Syndrome in a Low to Intermediate-risk Patient with Chest Pain

The optimal management of patients with chest pain relies on the prognostic information provided by noninvasive cardiovascular testing. Coronary computed tomography angiography (CCTA) is an increasingly utilized, highly accurate noninvasive test for diagnosing coronary artery disease. We illustrate an exceptional limitation of the prognostic information provided by CCTA. A 46-year-old female presented with chest pain suggestive of angina. Noninvasive testing for ischemia was negative, with CCTA showing mild stenosis of the proximal left anterior descending (LAD) artery. An electrocardiogram after two weeks demonstrated ST elevation in leads V1-V2 and aVR, with ST depression in the lateral leads. Cardiac catheterization revealed a significant proximal LAD lesion requiring percutaneous coronary intervention. An anatomic assessment of coronary arteries should be considered in cases of strong clinical suspicion for cardiac ischemia and initial nondiagnostic findings. Further studies are needed to improve the accuracy and the negative predictive value of CCTA in intermediate-risk individuals.
A Pipeline for Creative Visual Storytelling

Computational visual storytelling produces a textual description of events and interpretations depicted in a sequence of images. These texts are made possible by advances and cross-disciplinary approaches in natural language processing, generation, and computer vision. We define a computational creative visual storytelling as one with the ability to alter the telling of a story along three aspects: to speak about different environments, to produce variations based on narrative goals, and to adapt the narrative to the audience. These aspects of creative storytelling and their effect on the narrative have yet to be explored in visual storytelling. This paper presents a pipeline of task-modules, Object Identification, Single-Image Inferencing, and Multi-Image Narration, that serve as a preliminary design for building a creative visual storyteller. We have piloted this design for a sequence of images in an annotation task. We present and analyze the collected corpus and describe plans towards automation.
Apache Spark Streaming and HarmonicIO: A Performance and Architecture Comparison

Studies have demonstrated that Apache Spark, Flink and related frameworks can perform stream processing at very high frequencies, whilst tending to focus on small messages with a computationally light `map' stage for each message; a common enterprise use case. We add to these benchmarks by broadening the domain to include loads with larger messages (leading to network-bound throughput), and that are computationally intensive (leading to CPU-bound throughput) in the map phase; in order to evaluate applicability of these frameworks to scientific computing applications. We present a performance benchmark comparison between Apache Spark Streaming (ASS) under both file and TCP streaming modes; and HarmonicIO, comparing maximum throughput over a broad domain of message sizes and CPU loads. We find that relative performance varies considerably across this domain, with the chosen means of stream source integration having a big impact. We offer recommendations for choosing and configuring the frameworks, and present a benchmarking toolset developed for this study.
Learning the effect of latent variables in Gaussian Graphical models with unobserved variables

The edge structure of the graph defining an undirected graphical model describes precisely the structure of dependence between the variables in the graph. In many applications, the dependence structure is unknown and it is desirable to learn it from data, often because it is a preliminary step to be able to ascertain causal effects. This problem, known as structure learning, is hard in general, but for Gaussian graphical models it is slightly easier because the structure of the graph is given by the sparsity pattern of the precision matrix of the joint distribution, and because independence coincides with decorrelation. A major difficulty too often ignored in structure learning is the fact that if some variables are not observed, the marginal dependence graph over the observed variables will possibly be significantly more complex and no longer reflect the direct dependencies that are potentially associated with causal effects. In this work, we consider a family of latent variable Gaussian graphical models in which the graph of the joint distribution between observed and unobserved variables is sparse, and the unobserved variables are conditionally independent given the others. Prior work was able to recover the connectivity between observed variables, but could only identify the subspace spanned by unobserved variables, whereas we propose a convex optimization formulation based on structured matrix sparsity to estimate the complete connectivity of the complete graph including unobserved variables, given the knowledge of the number of missing variables, and a priori knowledge of their level of connectivity. Our formulation is supported by a theoretical result of identifiability of the latent dependence structure for sparse graphs in the infinite data limit. We propose an algorithm leveraging recent active set methods, which performs well in the experiments on synthetic data.
Exercise-Induced Modulation of Baroreflex Control of Sympathetic Nerve Activity

Exercise modulates arterial pressure (AP) regulation over various time spans. AP increases at the onset of exercise and this increase is then sustained during exercise. Once exercise is stopped, AP is suppressed for up to an hour afterwards. Prolonged endurance training is associated with dysfunction of the sympathetic regulation of AP in response to posture changes (orthostatic intolerance). Baroreflex control of sympathetic nerve activity (SNA) has been extensively studied to understand the mechanisms underlying exercise-induced changes in AP. We have previously presented entire baroreflex AP-SNA curves during and after exercise, and during central volume expansion, obtained using direct measurements of renal sympathetic nerve activity (RSNA) in conscious animals. In this review, we describe the modulatory effects of exercise on baroreflex control of AP based on these entire AP-RSNA baroreflex curves. We suggest that both acute and chronic exercise can have modulatory effects on the entire baroreflex curve for SNA, and that these effects differ among time periods.
Taint Tracking for WebAssembly

WebAssembly seeks to provide an alternative to running large and untrusted binaries within web browsers by implementing a portable, performant, and secure bytecode format for native web computation. However, WebAssembly is largely unstudied from a security perspective. In this work, we build the first WebAssembly virtual machine that runs in native JavaScript, and implement a novel taint tracking system that allows a user to run untrusted WebAssembly code while monitoring the flow of sensitive data through the application. We also introduce indirect taint, a label that denotes the implicit flow of sensitive information between local variables. Through rigorous testing and validation, we show that our system is correct, secure, and relatively efficient, benefiting from the native performance of WebAssembly while retaining precise security guarantees of more mature software paradigms.
Fast Two-Dimensional Atomic Norm Minimization in Spectrum Estimation and Denoising

Motivated by recent work on two dimensional (2D) harmonic component recovery via atomic norm minimization (ANM), a fast 2D direction of arrival (DOA) off-grid estimation based on ANM method was proposed. By introducing a matrix atomic norm the 2D DOA estimation problem is turned into matrix atomic norm minimization (MANM) problem. Since the 2D-ANM gridless DOA estimation is processed by vectorizing the 2D into 1D estimation and solved via semi-definite programming (SDP), which is with high computational cost in 2D processing when the number of antennas increases to large size. In order to overcome this difficulty, a detail formulation of MANM problem via SDP method is offered in this paper, the MANM method converts the original $MN+1$ dimensions problem into a $M+N$ dimensions SDP problem and greatly reduces the computational complexity. In this paper we study the problem of 2D line spectrally-sparse signal recovery from partial noiseless observations and full noisy observations, both of which can be solved efficiently via MANM method and obtain high accuracy estimation of the true 2D angles. We give a sufficient condition of the optimality condition of the proposed method and prove an up bound of the expected error rate for denoising. Finally, numerical simulations are conducted to show the efficiency and performance of the proposed method, with comparisons against several existed sparse methods.
Electrophysiological and Behavioral Evidence of Reduced Binaural Temporal Processing in the Aging and Hearing Impaired Human Auditory System

A person’s ability to process temporal fine structure information is indispensable for speech understanding. As speech understanding typically deteriorates throughout adult life, this study aimed to disentangle age and hearing impairment (HI)-related changes in binaural temporal processing. This was achieved by examining neural and behavioral processing of interaural phase differences (IPDs). Neural IPD processing was studied electrophysiologically through steady-state activity in the electroencephalogram evoked by periodic changes in IPDs over time, embedded in the temporal fine structure of acoustic stimulation. In addition, behavioral IPD discrimination thresholds were determined for the same stimuli. To disentangle potential effects of age from those of HI, both measures were applied to six participant groups: young, middle-aged, and older persons, with either normal hearing or sensorineural HI. All participants passed a cognitive screening, and stimulus audibility was controlled for in participants with HI. The results demonstrated that HI changes neural processing of binaural temporal information for all age-groups included in this study. These outcomes were revealed, superimposed on age-related changes that emerge between young adulthood and middle age. Poorer neural outcomes were also associated with poorer behavioral performance, even though the behavioral IPD discrimination thresholds were affected by age rather than by HI. The neural outcomes of this study are the first to evidence and disentangle the dual load of age and HI on binaural temporal processing. These results could be a valuable first step toward future research on rehabilitation.
Does Mothers’ Self-Construal Contribute to Parenting Beyond Socioeconomic Status and Maternal Efficacy? an Exploratory Study of Turkish Mothers

This study examined the relative contribution of mothers’ self-construal to parenting above and beyond family socioeconomic status (SES) and maternal efficacy beliefs about parenting. A total of 58 Turkish mothers and their preschool-aged children participated in dyadic tasks in the laboratory setting. For the measurement of parenting, direct behavioral observations of mother–child interactions in three interaction contexts were utilized, and mother ratings of emotion socialization were obtained. Mothers also reported on their parenting efficacy, self-construal, child temperament, and family demographics. Results revealed a more balanced endorsement of autonomous and relational self-characteristics as well as more sensitive parenting among higher SES mothers. Furthermore, mothers’ self-construal contributed unique variance to the prediction of sensitive parenting over and above SES, maternal efficacy and child temperament. Yet, in the prediction of negatively controlling parenting, mothers’ self-construal did not account for unique variance. Lower parenting efficacy and lower SES were the only predictors of punishing, overriding, and distress magnifying responses. Finally, results indicated a marginally significant indirect effect from SES to sensitive parenting via autonomous-related self-construal, controlling for the indirect effect of maternal efficacy.
Decentralized Task Allocation in Multi-Robot Systems via Bipartite Graph Matching Augmented with Fuzzy Clustering

Robotic systems, working together as a team, are becoming valuable players in different real-world applications, from disaster response to warehouse fulfillment services. Centralized solutions to coordinating multi-robot teams often suffer from poor scalability and vulnerability to communication disruptions. This paper develops a decentralized multi-agent task allocation (Dec-MATA) algorithm for multi-robot applications. The task planning problem is posed as a maximum-weighted matching of a bipartite graph, the solution of which using the blossom algorithm allows each robot to autonomously identify the optimal sequence of tasks it should undertake. The graph weights are determined based on a soft clustering process, which also plays a problem decomposition role seeking to reduce the complexity of the individual-agents’ task assignment problems. To evaluate the new Dec-MATA algorithm, a series of case studies (of varying complexity) are performed, with tasks being distributed randomly over an observable 2D environment. A centralized approach, based on a state-of-the-art MILP formulation of the multi-Traveling Salesman problem is used for comparative analysis. While getting within 7–28% of the optimal cost obtained by the centralized algorithm, the Dec-MATA algorithm is found to be 1–3 orders of magnitude faster and minimally sensitive to task-to-robot ratios unlike the centralized algorithm.
Endovascular treatment of complex intracranial aneurysms

Purpose Complex intracranial aneurysms (CIA) are heterogenous group of intracranial vascular malformations. Due to its giant size, difficult location, broad neck, branches arising from the aneurysm, wall structure, calcification, presence of intraluminal thrombus or previous treatments it requires more careful approach. The aim of this study was to evaluate endovascular treatment results of CIA in our Department. Material and methods In order to differentiate CIA from all the aneurysms, treated endovascularly in years 2008-2014, authors proposed their own qualification criteria. Additionally, subgroup of patients with CIA with simultaneous subarachnoid haemorrhage (SAH) was divided. Clinical outcomes of patients were assessed with Glasgow Outcome Scale (GOS), while radiological outcomes were assessed with Montreal Scale. Aneurysm localization, incidence of aborted procedures, intraoperative complications were also evaluated. Results Internal carotid artery was the most common localization in both CIA and non-complex (nCIA) groups. Incidence of aborted procedures was significantly higher in CIA group than in nCIA (25% vs. 7%; p < 0.01). CIA group had worse Montreal scores then nCIA group (1.90 vs. 1.49; p < 0.01). Clinical outcome in GOS scale in patients with SAH and CIA was significantly worse than in SAH and nCIA (2.86 vs. 4.06; p = 0.04). Conclusions To conclude, proposed criteria of CIA should be taken into consideration during diagnosis and qualification to invasive treatment. Classifying aneurysm as CIA is related to greater possibility of aborting endovascular procedure due to technical difficulties.
ASR-free CNN-DTW keyword spotting using multilingual bottleneck features for almost zero-resource languages

We consider multilingual bottleneck features (BNFs) for nearly zero-resource keyword spotting. This forms part of a United Nations effort using keyword spotting to support humanitarian relief programmes in parts of Africa where languages are severely under-resourced. We use 1920 isolated keywords (40 types, 34 minutes) as exemplars for dynamic time warping (DTW) template matching, which is performed on a much larger body of untranscribed speech. These DTW costs are used as targets for a convolutional neural network (CNN) keyword spotter, giving a much faster system than direct DTW. Here we consider how available data from well-resourced languages can improve this CNN-DTW approach. We show that multilingual BNFs trained on ten languages improve the area under the ROC curve of a CNN-DTW system by 10.9% absolute relative to the MFCC baseline. By combining low-resource DTW-based supervision with information from well-resourced languages, CNN-DTW is a competitive option for low-resource keyword spotting.
Human Skeletal Stem Cell Response to Multiscale Topography Induced by Large Area Electron Beam Irradiation Surface Treatment

The healthcare socio-economic environment is irreversibly changing as a consequence of an increasing aging population, consequent functional impairment, and patient quality of life expectations. The increasing complexity of ensuing clinical scenarios compels a critical search for novel musculoskeletal regenerative and replacement strategies. While joint arthroplasty is a highly effective treatment for arthritis and osteoporosis, further innovation and refinement of uncemented implants are essential in order to improve implant integration and reduce implant revision rate. This is critical given financial restraints and the drive to improve cost-effectiveness and quality of life outcomes. Multi-scale modulation of implant surfaces, offers an innovative approach to enhancement in implant performance. In the current study, we have examined the potential of large area electron beam melting to alter the surface nanotopography in titanium alloy (Ti6Al4V). We evaluated the in vitro osteogenic response of human skeletal stem cells to the resultant nanotopography, providing evidence of the relationship between the biological response, particularly Collagen type I and Osteocalcin gene activation, and surface nanoroughness. The current studies demonstrate osteogenic gene induction and morphological cell changes to be significantly enhanced on a topography Ra of ~40 nm with clinical implications therein for implant surface treatment and generation.
Metastasis-associated upregulation of ER-Golgi trafficking kinetics: regulation of cancer progression via the Golgi apparatus

The Golgi apparatus acts as a signaling hub, integrating stimuli from multiple sources to control protein and lipid post-translational modification and transport, impacting membrane composition, secretion and receptor cycling. Within the linked cisternae that comprise the Golgi ribbon, post-translational modifications, including N-glycan modification, O-linked glycosylation and sulfation, occur before transport of cargo to the TransGolgi Network (TGN) for sorting. Owing to the Golgi’s ability to process and traffic a large portion of the proteome and regulate multiple processes in the cell including mitosis, apoptosis and migration, it is not surprising that dysregulation of Golgi function is linked to several pathologies including Parkinson’s and Alzheimer’s disease and cancer. Recent studies have linked alterations in Golgi function to the metastatic progression of cancer cells. For example, GOLPH3, an oncogenic Golgi-resident protein that is a key regulator of Golgi morphology and function, is upregulated in several cancer types and this increase in expression correlates with poor prognosis [1]. PITPNC1, in complex with RAB1B, has been shown to promote Golgi extension and secretion in malignant cells by increasing levels of GOLPH3 [2]. In a separate study, Golgi compaction, driven by the scaffolding protein PAQR11, has been described in cells that have undergone an Epithelial to Mesenchymal transition (EMT), a process linked to metastatic progression [3]. Our recent findings reveal a CREB3-regulated ER-Golgi trafficking gene signature that includes ARF4, COPB1 and USO1 in Editorial
RNA Binding Proteins and Regulation of mRNA Translation in Erythropoiesis

Control of gene expression in erythropoiesis has to respond to signals that may emerge from intracellular processes or environmental factors. Control of mRNA translation allows for relatively rapid modulation of protein synthesis from the existing transcriptome. For instance, the protein synthesis rate needs to be reduced when reactive oxygen species or unfolded proteins accumulate in the cells, but also when iron supply is low or when growth factors are lacking in the environment. In addition, regulation of mRNA translation can be important as an additional layer of control on top of gene transcription, in which RNA binding proteins (RBPs) can modify translation of a set of transcripts to the cell’s actual protein requirement. The 5′ and 3′ untranslated regions of mRNA (5′UTR, 3′UTR) contain binding sites for general and sequence specific translation factors. They also contain secondary structures that may hamper scanning of the 5′UTR by translation complexes or may help to recruit translation factors. In addition, the term 5′UTR is not fully correct because many transcripts contain small open reading frames in their 5′UTR that are translated and contribute to regulation of mRNA translation. It is becoming increasingly clear that the transcriptome only partly predicts the proteome. The aim of this review is (i) to summarize how the availability of general translation initiation factors can selectively regulate transcripts because the 5′UTR contains secondary structures or short translated sequences, (ii) to discuss mechanisms that control the length of the mRNA poly(A) tail in relation to mRNA translation, and (iii) to give examples of sequence specific RBPs and their targets. We focused on transcripts and RBPs required for erythropoiesis. Whereas differentiation of erythroblasts to erythrocytes is orchestrated by erythroid transcription factors, the production of erythrocytes needs to respond to the availability of growth factors and nutrients, particularly the availability of iron.