Miracle-dz/UniFAR-FTUs huggingface dataset:
ÍNDICE DE FUNCIÓN SEXUAL FEMENINA: UN TEST PARA EVALUAR LA SEXUALIDAD DE LA MUJER

RESUMENObjetivo. Aplicar y validar en una poblacion chilena el “Indice de Funcion Sexual Femenina” establecidoen el International Consensus Development Conference on Female Sexual Dysfunctions. Material ymetodo. 383 mujeres sanas de 20 a 59 anos con actividad sexual, beneficiarias del Centro de Salud “CarolUrzua”. Instrumento: cuestionario de 19 preguntas, agrupadas en seis dominios: deseo, excitacion, lubri-cacion, orgasmo, satisfaccion y dolor. Analisis estadistico: Se utilizo ANOVA, Kruskall-Wallis, Chi cuadrado,regresion logistica y alpha de Cronbach. Resultados. Edad media: 35,3±10,9 anos, casadas (50,4%) oconviviente (17,0%), con educacion media (48,2%). La consistencia interna del test fue buena (>0,70). Lasexualidad logra su maxima expresion a los 35-40 anos (puntaje: 29,1±4,9) para caer posteriormente(21,0±6,0), especialmente el deseo y excitacion. Despues de los 44 anos se incrementa el riesgo dedisfuncion sexual (OR:3,6; IC: 2,1-6,3; p 0.70). The sexualityachieves its maximum expression between 35-40 years (score: 29.1±4.9) and declines afterwards(21.0±6.0), especially desire and arousal. After 44 years old the risk of sexual disfunction increases (OR:3.6,IC: 2.1-6.3, p <0.0001). Education and having a stable couple decreases the risk (OR: 0.45, IC:0.28-0.80,p <0.005 and OR:0.58, IC:0.35-0.98, p <0.05; respectively). Conclusions. The Female Sexual FunctionIndex is a simple applicable instrument with appropriate psicometric properties that allows us evaluate thesexuality in different stages of the life. It is adecuated for epidemiological and clinical studies.KEY WORDS: Female sexuality, sexual dysfunction
Efficient privacy-aware record integration

The integration of information dispersed among multiple repositories is a crucial step for accurate data analysis in various domains. In support of this goal, it is critical to devise procedures for identifying similar records across distinct data sources. At the same time, to adhere to privacy regulations and policies, such procedures should protect the confidentiality of the individuals to whom the information corresponds. Various private record linkage (PRL) protocols have been proposed to achieve this goal, involving secure multi-party computation (SMC) and similarity preserving data transformation techniques. SMC methods provide secure and accurate solutions to the PRL problem, but are prohibitively expensive in practice, mainly due to excessive computational requirements. Data transformation techniques offer more practical solutions, but incur the cost of information leakage and false matches. In this paper, we introduce a novel model for practical PRL, which 1) affords controlled and limited information leakage, 2) avoids false matches resulting from data transformation. Initially, we partition the data sources into blocks to eliminate comparisons for records that are unlikely to match. Then, to identify matches, we apply an efficient SMC technique between the candidate record pairs. To enable efficiency and privacy, our model leaks a controlled amount of obfuscated data prior to the secure computations. Applied obfuscation relies on differential privacy which provides strong privacy guarantees against adversaries with arbitrary background knowledge. In addition, we illustrate the practical nature of our approach through an empirical analysis with data derived from public voter records.
Long-Distance Loop Closure Using General Object Landmarks

Visual localization under large changes in scale is an important capability in many robotic mapping applications, such as localizing at low altitudes in maps built at high altitudes, or performing loop closure over long distances. Existing approaches, however, are robust only up to a 3x difference in scale between map and query images. We propose a novel combination of deep-learning-based object features and hand-engineered point-features that yields improved robustness to scale change, perspective change, and image noise. We conduct experiments in simulation and in real-world outdoor scenes exhibiting up to a 7x change in scale, and compare our approach against localization using state-of-the-art SIFT features. This technique is training-free and class-agnostic, and in principle can be deployed in any environment out-of-the-box.
FPA-CS: Focal plane array-based compressive imaging in short-wave infrared

Cameras for imaging in short and mid-wave infrared spectra are significantly more expensive than their counterparts in visible imaging. As a result, high-resolution imaging in those spectrum remains beyond the reach of most consumers. Over the last decade, compressive sensing (CS) has emerged as a potential means to realize inexpensive short-wave infrared cameras. One approach for doing this is the single-pixel camera (SPC) where a single detector acquires coded measurements of a high-resolution image. A computational reconstruction algorithm is then used to recover the image from these coded measurements. Unfortunately, the measurement rate of a SPC is insufficient to enable imaging at high spatial and temporal resolutions. We present a focal plane array-based compressive sensing (FPA-CS) architecture that achieves high spatial and temporal resolutions. The idea is to use an array of SPCs that sense in parallel to increase the measurement rate, and consequently, the achievable spatio-temporal resolution of the camera. We develop a proof-of-concept prototype in the short-wave infrared using a sensor with 64× 64 pixels; the prototype provides a 4096× increase in the measurement rate compared to the SPC and achieves a megapixel resolution at video rate using CS techniques.
Contrasting Rates of Evolution in Pm3 Loci From Three Wheat Species and Rice

The Pm3 gene from wheat confers resistance against powdery mildew and recent studies have shown that it is a member of a multigene family in the wheat genome. We compared genomic sequences ranging from 178 to 332 kb containing six Pm3-like genes and five gene fragments from orthologous loci in the A genome of wheat at three different ploidy levels. We found that the wheat Pm3 loci display an extremely dynamic evolution where sequence conservation is minimal between species and basically limited to very short sequences containing the genetic markers that define the orthology. The Pm3-like genes and their up- and downstream regions were reshuffled by multiple rearrangements, resulting in a complex mosaic of conserved and unique sequences. Comparison with rice showed that the known wheat Pm3-like genes represent only one branch of a large superfamily with several clusters in rice and suggests the presence of additional similar genes in the wheat genome. Estimates of divergence times and transposable-element insertions indicate that the Pm3 locus in wheat has undergone more drastic changes in its recent evolution than its counterpart in rice. This indicates that loci containing homologous resistance gene analogs can evolve at highly variable speeds in different species.
Abnormal crowd behavior detection based on optical flow and dynamic threshold

In this paper, we introduce a novel method to detect abnormal crowd activity: crowd running suddenly. This method is based on the whole motion intensity of the crowd which can be obtained by accumulating all optical flow vectors of a frame. Then we can detect the abnormal crowd activity by setting a threshold to detect whether the motion intensity changed suddenly. However, the computation of the optical flow is sensitive to light conditions resulting in much false detection. Based on that, we present a method to set a dynamic threshold related to the unstable optical flow which can adapt to the changing light conditions. Without training process and priori knowledge to set a static threshold, this method can detect the abnormal crowd activity robustly without much computation.
A control theoretic strategy for intelligent interface selection in heterogeneous network environments

With the diversity of wireless network accesses, new opportunities are offered to leverage network overload by wisely distributing traffic over the less congested networks. Following this observation, a number of studies have addressed the issue of the optimal interface selection to maximize the network performance. In order to address this problem, we propose, in this paper, a general model describing the interface selection process in heterogeneous network environments. The model is, then, used to derive a scalable controller, which can assist in steering dynamically the traffic to the most appropriate network access while blocking the residual traffic in a way to avoid the network congestion. In contrast with existing mechanisms, which generally rely on heuristic approaches, the proposed mechanism allows to compute network access probabilities based on linear optimal control theory. It also presents the advantage of a seamless integration with the Access Network Discovery and Selection Function (ANDSF). Simulation results sort out that the proposed scheme prevents the network congestion and demonstrates the effectiveness of the controller design, which can maximize the network resources' allocation by converging the network workload to the targeted network occupancy.
Non-Invasive Detection of Early Retinal Neuronal Degeneration by Ultrahigh Resolution Optical Coherence Tomography

Optical coherence tomography (OCT) has revolutionises the diagnosis of retinal disease based on the detection of microscopic rather than subcellular changes in retinal anatomy. However, currently the technique is limited to the detection of microscopic rather than subcellular changes in retinal anatomy. However, coherence based imaging is extremely sensitive to both changes in optical contrast and cellular events at the micrometer scale, and can generate subtle changes in the spectral content of the OCT image. Here we test the hypothesis that OCT image speckle (image texture) contains information regarding otherwise unresolvable features such as organelle changes arising in the early stages of neuronal degeneration. Using ultrahigh resolution (UHR) OCT imaging at 800 nm (spectral width 140 nm) we developed a robust method of OCT image analyses, based on spatial wavelet and texture-based parameterisation of the image speckle pattern. For the first time we show that this approach allows the non-invasive detection and quantification of early apoptotic changes in neurons within 30 min of neuronal trauma sufficient to result in apoptosis. We show a positive correlation between immunofluorescent labelling of mitochondria (a potential source of changes in cellular optical contrast) with changes in the texture of the OCT images of cultured neurons. Moreover, similar changes in optical contrast were also seen in the retinal ganglion cell- inner plexiform layer in retinal explants following optic nerve transection. The optical clarity of the explants was maintained throughout in the absence of histologically detectable change. Our data suggest that UHR OCT can be used for the non-invasive quantitative assessment of neuronal health, with a particular application to the assessment of early retinal disease.
Comparative evaluation of efficacy of subgingivally delivered 1.2% Atorvastatin and 1.2% Simvastatin in the treatment of intrabony defects in chronic periodontitis: a randomized controlled trial

Background. Statins are the recently evolved agents that aid in periodontal regeneration and ultimately in attaining periodontal health. Atorvastatin (ATV) and Simvastatin (SMV) are specific competitive inhibitors of 3-hydroxy-2-methyl-glutaryl coenzyme A reductase. The current study was conducted to compare the effectiveness of 1.2% ATV and 1.2% SMV, in addition to scaling and root planing (SRP), in the treatment of intrabony defects in subjects with chronic periodontitis. Methods. Ninety-six individuals were categorized into three treatment groups: SRP plus 1.2% ATV, SRP plus 1.2% SMV and SRP plus placebo. Clinical parameters of full-mouth plaque index (PI), modified sulcus bleeding index (mSBI), probing depth (PD), and relative attachment level (RAL) were recorded at baseline before SRP and at 3, 6 and 9 months. Bone fill was assessed using percentage radiographic defect depth reduction at baseline, 6 months and 9 months. Results. Both ATV and SMV showed significant PD reduction and RAL gain than placebo. ATV group showed greater mean PD reduction and mean RAL gain as compared to SMV group at 3, 6 and 9 months. Furthermore, ATV group sites exhibited a significantly greater percentage of radiographic defect depth reduction (33.23 ± 3.11%; 34.84 ± 3.07%) as compared to SMV (30.39 ± 3.36%; 32.15 ± 3.37%) at 6 and 9 months. Conclusion. ATV resulted in greater improvements in clinical parameters with higher percentage of radiographic defect depth reduction as compared to SMV in the treatment of intrabony defects in CP subjects.
To go or not to go green: An economic analysis

Green, i.e., energy-efficient, communications technologies have been a trend for next-generation cellular communications systems. An imperative question for network operators to address is whether and to what extent one should move to embrace such newly proposed green communications technologies. On one hand, the introduction of green communications technologies saves the operating cost, and on the other hand, it may also lead to some extent of degradation of the quality of service, which would drive users away towards other operators. In this paper, a preliminary economic analysis is developed to address such a tension. An operator chooses to upgrade a proportion of its infrastructure from the legacy technology to some green communications technology, and the goal of analysis is to figure out how large the proportion should be, depending upon system parameters including quality of service, price, and initial user distribution. The analysis reveals that a variety of possibilities exist.
Tuning‐in to the beat: Aesthetic appreciation of musical rhythms correlates with a premotor activity boost

Listening to music can induce us to tune in to its beat. Previous neuroimaging studies have shown that the motor system becomes involved in perceptual rhythm and timing tasks in general, as well as during preference‐related responses to music. However, the role of preferred rhythm and, in particular, of preferred beat frequency (tempo) in driving activity in the motor system remains unknown. The goals of the present functional magnetic resonance imaging (fMRI) study were to determine whether the musical rhythms that are subjectively judged as beautiful boost activity in motor‐related areas and if so, whether this effect is driven by preferred tempo, the underlying pulse people tune in to. On the basis of the subjects' judgments, individual preferences were determined for the different systematically varied constituents of the musical rhythms. Results demonstrate the involvement of premotor and cerebellar areas during preferred compared to not preferred musical rhythms and indicate that activity in the ventral premotor cortex (PMv) is enhanced by preferred tempo. Our findings support the assumption that the premotor activity increase during preferred tempo is the result of enhanced sensorimotor simulation of the beat frequency. This may serve as a mechanism that facilitates the tuning‐in to the beat of appealing music. Hum Brain Mapp, 2010. © 2009 Wiley‐Liss, Inc.
Compositional biases of bacterial genomes and evolutionary implications

We compare and contrast genome-wide compositional biases and distributions of short oligonucleotides across 15 diverse prokaryotes that have substantial genomic sequence collections. These include seven complete genomes (Escherichia coli, Haemophilus influenzae, Mycoplasma genitalium, Mycoplasma pneumoniae, Synechocystis sp. strain PCC6803, Methanococcus jannaschii, and Pyrobaculum aerophilum). A key observation concerns the constancy of the dinucleotide relative abundance profiles over multiple 50-kb disjoint contigs within the same genome. (The profile is rhoXY* = fXY*/fX*fY* for all XY, where fX* denotes the frequency of the nucleotide X and fY* denotes the frequency of the dinucleotide XY, both computed from the sequence concatenated with its inverted complementary sequence.) On the basis of this constancy, we refer to the collection [rhoXY*] as the genome signature. We establish that the differences between [rhoXY*] vectors of 50-kb sample contigs of different genomes virtually always exceed the differences between those of the same genomes. Various di- and tetranucleotide biases are identified. In particular, we find that the dinucleotide CpG=CG is underrepresented in many thermophiles (e.g., M. jannaschii, Sulfolobus sp., and M. thermoautotrophicum) but overrepresented in halobacteria. TA is broadly underrepresented in prokaryotes and eukaryotes, but normal counts appear in Sulfolobus and P. aerophilum sequences. More than for any other bacterial genome, palindromic tetranucleotides are underrepresented in H. influenzae. The M. jannaschii sequence is unprecedented in its extreme underrepresentation of CTAG tetranucleotides and in the anomalous distribution of CTAG sites around the genome. Comparative analysis of numbers of long tetranucleotide microsatellites distinguishes H. influenzae. Dinucleotide relative abundance differences between bacterial sequences are compared. For example, in these assessments of differences, the cyanobacteria Synechocystis, Synechococcus, and Anabaena do not form a coherent group and are as far from each other as general gram-negative sequences are from general gram-positive sequences. The difference of M. jannaschii from low-G+C gram-positive proteobacteria is one-half of the difference from gram-negative proteobacteria. Interpretations and hypotheses center on the role of the genome signature in highlighting similarities and dissimilarities across different classes of prokaryotic species, possible mechanisms underlying the genome signature, the form and level of genome compositional flux, the use of the genome signature as a chronometer of molecular phylogeny, and implications with respect to the three putative eubacterial, archaeal, and eukaryote domains of life and to the origin and early evolution of eukaryotes.
The Bacillus subtilis AraE Protein Displays a Broad Substrate Specificity for Several Different Sugars

ABSTRACT Bacillus subtilis 168 is unable to grow on xylose and galactose as sole carbon sources, owing to the lack of specific transporters. We show that they are imported into the cell by the activity of AraE, an arabinose transporter whose synthesis is induced by l-arabinose.
Sleep related beliefs and their association with alcohol relapse following residential alcohol detoxification treatment.

BACKGROUND Alcohol dependence is known to impact upon sleep, and poor sleep has been shown to affect relapse rates following treatment for alcohol dependence. AIMS The aim of this study was to investigate the association between sleep problems and relapse in dependent drinkers in an inpatient setting. This was done by studying sleep related cognitions in individuals undergoing medically assisted alcohol withdrawal. METHOD Sleep and sleep-related cognitions data were collected for 71 individuals undergoing detoxification treatment. Sleep was measured using sleep diaries and actigraph motion monitors. Participants completed sleep-related cognition questionnaires and were subject to telephone follow-up interviews. The results were then used to predict relapse rates 4 weeks after discharge. RESULTS Longer sleep onset latency recorded on the unit predicted relapse at 4 weeks. Higher dysfunctional beliefs about sleep were found to be associated with lower relapse rates. CONCLUSIONS This study suggests that some dysfunctional beliefs about sleep may support recovery following discharge from treatment. The study further supports the need for tailored cognitive-behavioural treatments for sleep difficulties in this population to reduce relapse rates.
Gossypol induces Bax/Bak‐independent activation of apoptosis and cytochrome c release via a conformational change in Bcl‐2

Cells without Bak and Bax are largely resistant to apoptosis (1;2), despite the presence of other key components of the apoptotic machinery. We screened 7,800 natural compounds and found several that could specifically induce caspase activation and the release of cytochrome c (cyto c) in the bak//bax/ cells. One of these was gossypol, a polyphenolic compound naturally found in cottonseed that has been used in antifertility trials. We found that gossypol, but not other Bcl‐2‐interacting molecules, induced cyto c release and loss of mitochondrial membrane potential (m) independently of mPTP and Bak/Bax activation. Furthermore, we found that gossypol induced an allosteric change in Bcl‐2 in both bak//bax/ cells and Bcl‐2 overexpressing cells. This change in Bcl‐2 conformation led to the release of cyto c in the presence of Bcl‐2 and Bcl‐xL in reconstituted proteoliposomes. We also observed that gossypol substantially reduced the growth of tumor xenografts from Bcl‐2 overexpressing cells in nude mice. We conclude that gossypol converts the antiapoptotic molecule Bcl‐2 into a proapoptotic molecule that can mediate the release of cyto c and induce apoptosis—Lei, X. , Chen, Y. , Du, G. , Yu, W. , Wang, X. , Qu, H. , Xia, B. , He, H. , Mao, J., Zong, W. , Liao, X. , L. , Mehrpour, M. , Hao, X. , Chen, Q. Gossypol induces Bax/Bak‐independent activation of apoptosis and cytochrome c release via a conformational change in Bcl‐2. FASEB J. 20, E1510 –E1519 (2006)
Toward a Neurobiology of Child Psychotherapy

Brain imaging studies have demonstrated that psychotherapy alters brain structure and function. Learning and memory, both implicit and explicit, play central roles in this process through the creation of new genetic material that leads to increased synaptic efficiency through the creation of new neuronal connections. Although there is substantial evidence supporting some of the neurobiological effects of psychotherapy in adult patients, little exists on the impact of psychotherapy in children. Research has supported the enduring effects of early childhood trauma as represented by alterations in stress response, for example, which has important implications for early intervention through psychotherapy. Presently, the major questions facing the field of child and adolescent psychotherapy are identical to those in the study of adults. These can be reduced to four questions: what type of therapy, for what type of problem, in what type of child, and by what type of therapist. Areas needing further research are discussed.
A Decision Support System for Managing Electricity Demand Using an Incrementally Optimized Very Fast Decision Tree Ensemble

Electric utilities such as Smart Grids incorporate intelligent methods to efficiently manage the day to day operations. The consumption behavior of consumers can be classified from streaming consumption data and abnormal consumption behavior patterns can be obtained which can be utilized for fine-grained management of power demand. Mining streaming data is a challenging task owing to the highly resource constrained setting in terms of memory and learning time. Incrementally Optimized Very Fast Decision Tree (iOVFDT) is an efficient method for Streaming Data Classification. iOVFDT achieves a compact and reliable model by efficiently balancing the accuracy, tree size and learning time. To enhance the classification performance multiple iOVFDT classifiers can be combined into an efficient ensemble. In this paper we propose a methodology for developing an adaptive and computationally lightweight Incrementally Optimized Very Fast Decision Tree Ensemble and present its application as a decision support mechanism for managing Electricity Demand.