Miracle-dz/UniFAR-FTUs huggingface dataset:
Kissing is good: A developmental investigation of sexuality in adolescent romantic couples

This study investigated sexuality as a predictor of the quality of adolescent romantic relationships. Individuals’ sexual feelings (desire for partner) and couples’ sexual behaviors were examined as components of sexuality, with gender and age as potential moderators. Participants included 211 male-female couples aged 14–21 that had been dating a minimum of 4 weeks. Findings revealed important connections between sexuality and relationship quality. Specifically, kissing and desiring a romantic partner correlated positively to relationship satisfaction and commitment. The link between sexual intercourse and relationship qualities, however, varied according to age. In younger adolescents, the frequency of intercourse was negatively correlated with relationship quality, while in older adolescents, the frequency of intercourse correlated positively with relationship commitment and had no connection with relationship satisfaction. Gender did not moderate the link between sexual behavior and relationship quality. Findings are discussed from a normative framework and implications for social policy are explored.
GDE1/MIR16 is a glycerophosphoinositol phosphodiesterase regulated by stimulation of G protein-coupled receptors

Previously we identified MIR16 (membrane interacting protein of RGS16) as an integral membrane glycoprotein that interacts with regulator of G protein signaling proteins and shares significant sequence homology with bacterial glycerophosphodiester phosphodiesterases (GDEs), suggesting that it is a putative mammalian GDE. Here we show that MIR16 belongs to a large, evolutionarily conserved family of GDEs with a characteristic putative catalytic domain that shares a common motif (amino acids 92–116) with the catalytic domains of mammalian phosphoinositide phospholipases C. Expression of wild-type MIR16 (renamed GDE1), but not two catalytic domain mutants (E97A/D99A and H112A), leads to a dramatic increase in glycerophosphoinositol phosphodiesterase (GPI-PDE) activity in HEK 293T cells. Analysis of substrate specificity shows that GDE1/MIR16 selectively hydrolyzes GPI over glycerophosphocholine. The GPI-PDE activity of GDE1/MIR16 expressed in HEK 293T cells can be regulated by stimulation of G protein-coupled, α/β-adrenergic, and lysophospholipid receptors. Membrane topology studies suggest a model in which the catalytic GDE domain faces the lumen/extracellular space and the C terminus faces the cytoplasm. Our results suggest that by serving as a PDE for GPI with its activity regulated by G protein signaling, GDE1/MIR16 provides a link between phosphoinositide metabolism and G protein signal transduction.
Effects of repetitive use and cleaning techniques of disposable jet nebulizers on aerosol generation.

STUDY OBJECTIVE Patients with cystic fibrosis use disposable jet nebulizers for the self-administration of antibiotics, DNase, and bronchodilators several times per day. Most patients elect to reuse their disposable nebulizers. The purpose of this study was to determine if significant changes in particle size distribution or output (mL/min) occurred with reuse. DESIGN In vitro studies were performed using four disposable models and one durable jet nebulizer for up to 100 runs; measurements of particle size and output were obtained at 10 run intervals, using saline solution alone, tobramycin, gentamicin, or a mixture of albuterol and cromolyn. Particle size determinations were made with a laser diffraction analyzer. RESULTS There was no significant difference between the baseline performance of the four disposable models and the durable Pari LC, when measuring particle size distribution of the aerosol; the Pari LC had an output rate two to three times higher than the four disposable models. For each of the four solutes tested, there was no clinically significant change in performance for up to 100 cycles, when the nebulizers were properly cleaned between uses. Unwashed units containing tobramycin started to fail by 40 runs. CONCLUSIONS When properly maintained, there was no trend of deterioration of performance with repeated use of disposable nebulizers. Microbial contamination was not addressed in this study and must be considered prior to recommendations for the reuse of disposable nebulizers.
Component-wise Annotation and Analysis of Informal Place Descriptions

We analyse the strategies used in formulating situated infor- mal location descriptions, by identifying geospatial expressions contained therein and annotating each for properties such as geospatial granularity and identiability. Analysis of the annotations leads to insights such as the predominance of suburb-level expressions, and prevalence of vernac- ular expressions.
Braneworld Dynamics with the BraneCode r

We give a full nonlinear numerical treatment of time-dependent 5d braneworld geometry, which is determined self-consistently by potentials for the scalar field in the bulk and at two orbifold branes, supplemented by boundary conditions at the branes. We describe the BraneCode r , an algorithm which we designed to solve the dynamical equations numerically. We applied the BraneCode to braneworld models and found several novel phenomena of the brane dynamics. Starting with static warped geometry with de Sitter branes, we found numerically that this configuration is often unstable due to a tachyonic mass of the radion during inflation. If the model admits other static configurations with lower values of de Sitter curvature, this effect causes a violent re-structuring towards them, flattening the branes, which appears as a lowering of the 4d effective cosmological constant. Braneworld dynamics can often lead to brane collisions. We found that in the presence of the bulk scalar field, the 5d geometry between colliding branes approaches a universal, homogeneous, anisotropic strong gravity Kasner-like asymptotic, irrespective of the bulk/brane potentials. The Kasner indices of the brane directions are equal to each other but different from that of the extra dimension.
Table of Contents

Phishing attack continues to be a significant threat to the Internet users and commercial organizations worldwide causing billions of dollars in damage. A successful phishing attack depends on the inability of an end user to accurately tell legitimate and spoofed emails apart. However, unlike their legitimate counterpart, as spoofed emails are composed in bulk, they do not contain any user specific data, which relates users with their accounts. In this paper, as a first step, we propose a customizable spam filter that allows the users to store this user specific data on a per organization basis, and then use the stored data to discriminate against fraudulent emails. As a next step, we propose a NLP based technique to generate context sensitive warnings that would help in educating users about the dangers of phishing attack. Lastly, we test and validate our framework on existing phishing corpus and live emails.
Utility of an automated notification system for recruitment of research subjects

Background Experience with a novel method of notifying investigators about research subjects in a university-based emergency department (ED) is reported. Methods An automated paging system was linked to the electronic medical record to identify inclusion criteria and notify investigators at the time of ED triage. The rate of study enrolment 2 months before and after implementation of the automated system was compared and the time from triage completion to investigator notification was assessed. Results During the first 2-month period, 1/17 eligible patients were identified by staff. During the second 2-month period, 1/7 eligible patients were identified by staff while the automated paging system recognised 7/7 eligible patients, an absolute increase of 94.5%. The median time from completion of triage to automated notification of investigators was 0 min. Conclusion Automated paging using the electronic medical record has the potential to improve enrolment in clinical research studies by improving the speed and sensitivity of identifying eligible subjects.
Enhancing Recommender Systems for TV by Face Recognition

Recommender systems have proven their usefulness as a tool to cope with the information overload problem for many online services offering movies, books, or music. Recommender systems rely on identifying individual users and deducing their preferences from the feedback they provide on the content. To automate this user identification and feedback process for TV applications, we propose a solution based on face detection and recognition services. These services output useful information such as an estimation of the age, the gender, and the mood of the person. Demographic characteristics (age and gender) are used to classify the user and cope with the cold start problem. Detected smiles and emotions are used as an automatic feedback mechanism during content consumption. Accurate results are obtained in case of a frontal view of the face. Head poses deviating from a frontal view and suboptimal illumination conditions may hinder face detection and recognition, especially if parts of the face, such as eyes or mouth are not sufficiently visible.
Machine-learned Identi fi cation of RR Lyrae Stars from Sparse , Multi-band Data : The PS 1 Sample

RR Lyrae stars may be the best practical tracers of Galactic halo (sub-)structure and kinematics. The PanSTARRS1 (PS1) 3p survey offers multi-band, multi-epoch, precise photometry across much of the sky, but a robust identification of RR Lyrae stars in this data set poses a challenge, given PS1ʼs sparse, asynchronous multi-band light curves ( 12  epochs in each of five bands, taken over a 4.5 year period). We present a novel template fitting technique that uses well-defined and physically motivated multi-band light curves of RR Lyrae stars, and demonstrate that we get accurate period estimates, precise to 2 s in 80% > of cases. We augment these light-curve fits with other features from photometric time-series and provide them to progressively more detailed machinelearned classification models. From these models, we are able to select the widest (three-fourthsof the sky) and deepest (reaching 120 kpc) sample of RR Lyrae stars to date. The PS1 sample of ∼45,000 RRab stars is pure (90%)and complete (80% at 80 kpc) at high galactic latitudes. It also provides distances that areprecise to 3%, measured with newly derived period–luminosity relations for optical/near-infrared PS1 bands. With the addition of proper motions from Gaia and radial velocity measurements from multi-object spectroscopic surveys, we expect the PS1 sample of RR Lyrae stars to become the premier source for studying the structure, kinematics, and the gravitational potential of the Galactic halo. The techniques presented in this study should translate well to other sparse, multi-band data sets, such as those produced by the Dark Energy Survey and the upcoming Large Synoptic Survey Telescope Galactic plane sub-survey.
The NLP Engine: A Universal Turing Machine for NLP

It is commonly accepted that machine translation is a more complex task than part of speech tagging. But how much more complex? In this paper we make an attempt to develop a general framework and methodology for computing the informational and/or processing complexity of NLP applications and tasks. We define a universal framework akin to a Turning Machine that attempts to fit (most) NLP tasks into one paradigm. We calculate the complexities of various NLP tasks using measures of Shannon Entropy, and compare `simple' ones such as part of speech tagging to `complex' ones such as machine translation. This paper provides a first, though far from perfect, attempt to quantify NLP tasks under a uniform paradigm. We point out current deficiencies and suggest some avenues for fruitful research.
Interlinking English and Chinese RDF Data Sets Using Machine Translation

Data interlinking is a difficult task particularly in a multilingual environment like the Web. In this paper, we evaluate the suitability of a Machine Translation approach to interlink RDF resources described in English and Chinese languages. We represent resources as text documents, and a similarity between documents is taken for similarity between resources. Documents are represented as vectors using two weighting schemes, then cosine similarity is computed. The experiment demonstrates that TF*IDF with a minimum amount of preprocessing steps can bring high results.
Antecedents and Dimensions of Supply Chain Robustness: A Systematic Literature Review

Purpose – The purpose of this paper is to provide groundwork for an emerging theory of supply chain robustness – which has been conceptualized as a dimension of supply chain resilience – through reviewing and synthesizing related yet disconnected studies. The paper develops a formal definition of supply chain robustness to build a framework that captures the dimensions, antecedents and moderators of the construct as discussed in the literature. Design/methodology/approach – The authors apply a systematic literature review approach. In order to reduce researcher bias, they involve a team of academics, librarians and managers. Findings – The paper first, provides a formal definition of supply chain robustness; second, builds a theoretical framework of supply chain robustness that augments both causal and descriptive knowledge; third,shows how findings in this review support practice; and fourth,reveals methodological insights on the use of journal rankings in reviews. Research limitations/implications – At .
A beam-space method for Direction Of Arrival and power estimation by exploiting the sparsity

In this paper, we propose a beam-space Sparse Spectral Fitting method (BMSpSF) for Directions-Of-Arrival (DOA) and power estimation. In order to reduce the computational complexity of sparsity methods and improve the selection of the regularization parameter, a beam-space technique is used to Sparse Spectral Fitting method. Firstly, we use the beamforming matrix to transfer element-space data to beam-space. Then, the output covariance matrix of beam-space domain will replace the original covariance matrix. Finally, we estimate the DOA and power by exploiting a sparse representation of the power spectrum. Simulation examples are presented to demonstrate the effective of the proposed method. The beam-space method not only remains the performances of DOA and power estimation of SpSF, but also is much less sensitive to its regularization parameter than that of the element-space SpSF.
Video summarization with supervised learning

We present a video summarization technique based on supervised learning. Within a class of videos of similar nature, user provides the desired summaries for a subset of videos. Based on this supervised information, the summaries for other videos in the same class are generated. We derive frame-transitional features and subsequently represent each frame transition as a state. We then formulate a loss functional to quantify the discrepency between state transitional probabilities in the original video and that in the intended summary video, and optimize this functional. We experimentally validate the performance of the technique using cross-validation scores on two different class of videos, and demonstrate that the proposed technique is able to produce high quality summarization capturing the user perception.
Channel Assignment and User Association Game in Dense 802.11 Wireless Networks

In densely deployed IEEE 802.11 wireless networks, the transmission delay experienced by a user depends not only on the traffic load of the associated AP, but also the contention level of other APs operating on the same channel. However, due to the random distribution of users and inappropriate allocation of AP channels, the traffic loads of different APs are often uneven, leading to unfair delay experience to different users. In this paper, we consider the problem of channel assignment and user association for balancing the traffic load of APs operating on different channels, which is modeled as a non-cooperative game. We prove the existence of Nash equilibrium (NE) for this game, and derive the price of anarchy and the fairness index at NE. Simulation results are provided to compare the performance of the proposed algorithm with the theoretical bounds.
Disruption of Nuclear Lamin Organization Alters the Distribution of Replication Factors and Inhibits DNA Synthesis

The nuclear lamina is a fibrous structure that lies at the interface between the nuclear envelope and the nucleoplasm. The major proteins comprising the lamina, the nuclear lamins, are also found in foci in the nucleoplasm, distinct from the peripheral lamina. The nuclear lamins have been associated with a number of processes in the nucleus, including DNA replication. To further characterize the specific role of lamins in DNA replication, we have used a truncated human lamin as a dominant negative mutant to perturb lamin organization. This protein disrupts the lamin organization of nuclei when microinjected into mammalian cells and also disrupts the lamin organization of in vitro assembled nuclei when added to Xenopus laevis interphase egg extracts. In both cases, the lamina appears to be completely absent, and instead the endogenous lamins and the mutant lamin protein are found in nucleoplasmic aggregates. Coincident with the disruption of lamin organization, there is a dramatic reduction in DNA replication. As a consequence of this disruption, the distributions of PCNA and the large subunit of the RFC complex, proteins required for the elongation phase of DNA replication, are altered such that they are found within the intranucleoplasmic lamin aggregates. In contrast, the distribution of XMCM3, XORC2, and DNA polymerase α, proteins required for the initiation stage of DNA replication, remains unaltered. The data presented demonstrate that the nuclear lamins may be required for the elongation phase of DNA replication.
Arthroscopically assisted anterior cruciate ligament reconstruction with bone-patellar tendon-bone autograft without wound drainage: short- to middle-term outcome

Introduction Several studies have suggested that anterior cruciate ligament reconstruction (ACLR) without wound drainage has no impact on long-term follow-up. Aim To investigate a prospective patient series as measured by the patient-administered disease-specific questionnaire Knee injury and Osteoarthritis Outcome Score (KOOS). Material and methods The study included 101 consecutive patients (71 men and 30 women) with a mean age of 30 years (SD 10, range: 15–62 years), who had undergone primary single incision arthroscopic bone-patellar tendon-bone autograft (BPTB) ACLR without wound drainage. All patients completed KOOS questionnaires, preoperatively and at a mean follow-up of 1.4 years (range: 0.4–3.4). Satisfactory clinical outcome (function recovery – FR) was defined as the lower threshold for the 95% CI of 18–34-year old males and corresponded to a KOOS score > 90 for Pain, 84 for Symptoms, 91 for Activities of Daily Living (ADL), 80 for Sports/Recreation, and 81 for Quality of Life (QOL). A non-satisfactory result was defined as treatment failure (TF) and corresponded to a QOL score < 44. Results All patients achieved 90° of knee flexion on the first postoperative day and full extension 2 weeks postoperatively. A full range of motion was achieved in less than 6 weeks postoperatively. No postoperative complications were reported. Score improvement at follow-up was observed in the KOOS subscales Pain, Symptoms and ADL. Criteria for FR were fulfilled by 52% of patients for Pain, 47% for Symptoms, 62% for ADL, 34% for Sports/Recreation and 15% for QOL, whereas criteria for TF were fulfilled by 29% of patients. Conclusions The study demonstrated that the primary ACLRs without wound drainage did not have any negative impact for patient-reported recovery.
Explaining Adversarial Examples by Local Properties of Convolutional Neural Networks

Vulnerability of ConvNets to adversarial examples have been mainly studied by devising a solution for generating adversarial examples. Early studies suggested that sensitivity of ConvNets to adversarial examples are due to their non-linearity. Most recent studies explained that instability of ConvNet to these examples are because of their linear nature. In this work, we analyze some of local properties of ConvNets that are directly related to their unreliability to adversarial examples. We shows that ConvNets are not locally isotropic and symmetric. Also, we show that Mantel score of distance matrices in the input and output of a ConvNet is very low showing that topology of points located at a very close distance to a samples might significantly change by ConvNets. We also explain that non-linearity of topology changes in ConvNet are because they apply an affine transformation in each layer. Furthermore, we explain that despite the fact that global Lipschitz constant of a ConvNet might be greater than 1, it is locally less than 1 in most of adversarial examples.
A chip-level process for power switching module integration and packaging

A process module, incorporating embedding of multiple power semiconductor chips in a flat ceramic frame and planar metallization interconnect technologies, has been developed to fabricate active power chip scale packages (CSP), multichip modules (MCMs), and integrated power electronics modules (IPEMs). This integrated chips technology features structure compactness and process integrity, compared to other multilevel packaging methods. Thus, power switching module, including controller and driver, sensor and filter, and power switches can be manufactured with a planar integration technology and packaged in 3-D form. An example IPEM, incorporating power factor correction (PFC) and DC/DC switching stages for a distributed power system (DPS) front-end converter application, has been fabricated and characterized. The electrical performance improvement, which includes reduction in parasitics and increase in efficiency, has been demonstrated. Furthermore, a highly functional integrated PFC switching module with embedded capacitor, current sensor and doubled side cooling has been fabricated in an integrated planar process scheme. The obtained experimental results are presented with prototypes.
Knowledge-poor Approach to Constructing Word Frequency Lists, with Example from Romance Languages

Las listas de palabras con sus frecuencias se usan ampliamente en muchos procedimientos de agrupamiento y categorizacion de textos. Usualmente para la compilacion de tales listas se usan las aproximaciones basadas en morfologia (como el stemmer de Porter) para unir las palabras con el mismo significado. Desafortunadamente, tales aproximaciones requieren de muchos recursos linguisticos dependientes de lenguaje cuando se trabaja con datos multilingues y colecciones multitematicas de documentos. En este articulo se proponen dos procedimientos basados en formulas empiricas de similitud entre palabras. Un simple ajuste de los parametros de las formulas permita su adecuacion a diferentes lenguajes europeos. Se demuestra la aplicacion de las formulas con ejemplos reales del frances, italiano, portugues y espanol.