Miracle-dz/UniFAR-FTUs huggingface dataset:
Life in conflict: Characteristics of Depression in Kashmir.

BACKGROUND Mental, physical and social health, are vital strands of life that are closely interwoven and deeply interdependent. Mental disorders affect people of all countries and societies, individuals at all ages, women and men, the rich and the poor, from urban and rural environments. Depression is more likely following particular classes of experience - those involving conflict, disruption, losses and experiences of humiliation or entrapment. Many people living amidst the rages of conflict suffer from post-traumatic stress disorder. OBJECTIVE To determine the characteristics of depression in the population in Kashmir where a low-intensity-conflict has been going on for the last seventeen years. METHODS The non-combatant civilian population was surveyed. The Centre for Epidemiological Studies Depression (CES-D) Scale was used to measure symptoms of depression in community populations. RESULTS Due to continuing conflict in Kashmir during the last 18 years there has been a phenomenal increase in psychiatric morbidity. The results reveal that the prevalence of depression is 55.72%. The prevalence is highest (66.67%) in the 15 to 25 years age group, followed by 65.33% in the 26 to 35 years age group. The difference in the prevalence of depression among males and females is significant. Depression is much higher in rural areas (84.73%) as compared to urban areas (15.26%). In rural areas the prevalence of depression among females is higher (93.10 %) as compared to males (6.8%). CONCLUSION Mental health is an integral part of overall health and quality of life. Effective evidence-based programs and policies are available to promote mental health, enhance resilience, reduce risk factors, increase protective factors, and prevent mental and behavioural disorders. Innovative community-based health programmes which are culturally and gender appropriate and reaches out to all segments of the population need to be developed. Substantial and sustainable improvements can be achieved only when a comprehensive strategy for mental health which incorporates both prevention and care elements is adopted.
Differential Desensitization of Responses Mediated by Presynaptic and Postsynaptic A1 Adenosine Receptors

G-protein-coupled receptors (GPCRs) often desensitize during continuous activation, but it is not known whether desensitization is influenced by subcellular location. In hippocampal neurons, activation of adenosine A1 receptors (A1Rs) or GABABreceptors on synaptic terminals inhibits neurotransmitter release, whereas activation of the same receptors on cell bodies and dendrites decreases excitability by activating inwardly rectifying potassium (GIRK) channels. Here we report that responses mediated by presynaptic A1Rs desensitize more slowly than responses mediated by postsynaptic (somatodendritic) A1Rs in cultured neurons. Agonist treatment for 2 hr has no effect on adenosine-induced presynaptic inhibition, whereas such treatment nearly abolishes adenosine-induced activation of postsynaptic GIRK channels. Agonist treatment for longer periods (>12 hr) eventually desensitizes A1R-mediated presynaptic inhibition. Presynaptic and postsynaptic responses both recover from desensitization after agonist removal, but recovery of presynaptic inhibition requires more time. Desensitization of postsynaptic responses apparently occurs at the level of the receptor, because postsynaptic G-proteins and GIRK channels appear to be fully functional. Inhibition of voltage-gated calcium channels by postsynaptic A1Rs also desensitizes rapidly, although this desensitization is less complete than is observed for activation of postsynaptic GIRK channels. Comparison of concentration–response curves for presynaptic and postsynaptic responses suggests that a receptor reserve exists for presynaptic inhibition, but that the magnitude of this reserve is insufficient to account for the absence of presynaptic desensitization after brief agonist exposure. These results suggest that agonist-induced desensitization of responses mediated by neuronal GPCRs may depend on the subcellular location of the receptors.
DRETOM: developer recommendation based on topic models for bug resolution

Background: In most cases, bug resolution is a collaborative activity among developers in software development where each developer contributes his or her ideas on how to resolve the bug. Although only one developer is recorded as the actual fixer for the bug, the contribution of the developers who participated in the collaboration cannot be neglected. Aims: This paper proposes a new approach, called DRETOM (Developer REcommendation based on TOpic Models), to recommending developers for bug resolution in collaborative behavior. Method: The proposed approach models developers' interest in and expertise on bug resolving activities based on topic models that are built from their historical bug resolving records. Given a new bug report, DRETOM recommends a ranked list of developers who are potential to participate in and contribute to resolving the new bug according to these developers' interest in and expertise on resolving it. Results: Experimental results on Eclipse JDT and Mozilla Firefox projects show that DRETOM can achieve high recall up to 82% and 50% with top 5 and top 7 recommendations respectively. Conclusion: Developers' interest in bug resolving activities should be taken into consideration. On condition that the parameter θ of DRETOM is set properly with trials, the proposed approach is practically useful in terms of recall.
Precautionary Saving from Different Sources of Income: Evidence from Rural Pakistan

Few studies have tried to measure how households in a developing country save from each of the different income sources at their disposal. To help fill that gap, the Author uses five-year panel data to examine how households in rural Pakistan save from each of the seven separate sources of income. The author finds that households save from different sources of income at significantly different marginal rates. For example, the marginal propensity to save from external remittances (0.711) is much higher than that for rental income (0.085). As the precautionary model of saving suggests, the reasons for this relate to uncertainty: income that is more variable, tends to be saved at a higher marginal rate. Faced with incomplete capital, and credit markets, households in rural Pakistan save: for a rainy day"by putting away mainly those sources of income that are more variable, and uncertain.
An HMM-based singing voice synthesis system

Abstract The present paper describes a corpus-based singing voice syn-thesis system based on hidden Markov models (HMMs). Thissystem employs the HMM-based speech synthesis to synthesizesingingvoice. Musical information such aslyrics, tones, durationsis modeled simultaneously in a uniﬁed framework of the context-dependent HMM. It can mimic the voice quality and singing styleof the original singer. Results of a singing voice synthesis exper-iment show that the proposed system can synthesize smooth andnatural-sounding singing voice. Index Terms : singing voice synthesis, HMM, time-lag model. 1. Introduction In recent years, various applications of speech synthesis systemshave been proposed and investigated. Singing voice synthesis isone of the hot topics in this area [1–5]. However, only a fewcorpus-based singing voice synthesis systems which can be con-structed automatically have been proposed.Currently, there are two main paradigms in the corpus-basedspeech synthesis area: sample-based approach and statistical ap-proach. The sample-based approach such as unit selection [6]can synthesize high-quality speech. However, it requires a hugeamountoftrainingdatatorealizevariousvoicecharacteristics. Onthe other hand, the quality of statistical approach such as HMM-basedspeechsynthesis[7]isbuzzybecauseitisbasedonavocod-ingtechnique. However,itissmoothandstable,anditsvoicechar-acteristics can easily be modiﬁed by transforming HMM parame-ters appropriately. For singing voice synthesis, applying the unitselection seems to be difﬁcult because a huge amount of singingspeech which covers vast combinations of contextual factors thataffect singing voice has to be recorded. On the other hand, theHMM-based system can be constructed using a relatively smallamount of training data. From this point of view, the HMM-basedapproach seems to be more suitable for the singing voice synthe-sizer. In the present paper, we apply the HMM-based synthesisapproach to singing voice synthesis.Although the singing voice synthesis system proposed in thepresent paper is quite similar to the HMM-based text-to-speechsynthesissystem[7],therearetwomaindifferencesbetweenthem.In the HMM-based text-to-speech synthesis system, contextualfactors which may affect reading speech (e.g. phonemes, sylla-bles, words, phrases, etc.) are taken into account. However, con-textual factors which may affect singing voice should be different
Humoral Dysregulation Associated with Increased Systemic Inflammation among Injection Heroin Users

Background Injection drug use is a growing major public health concern. Injection drug users (IDUs) have a higher incidence of co-morbidities including HIV, Hepatitis, and other infections. An effective humoral response is critical for optimal homeostasis and protection from infection; however, the impact of injection heroin use on humoral immunity is poorly understood. We hypothesized that IDUs have altered B cell and antibody profiles. Methods and Findings A comprehensive systems biology-based cross-sectional assessment of 130 peripheral blood B cell flow cytometry- and plasma- based features was performed on HIV-/Hepatitis C-, active heroin IDUs who participated in a syringe exchange program (n = 19) and healthy control subjects (n = 19). The IDU group had substantial polydrug use, with 89% reporting cocaine injection within the preceding month. IDUs exhibited a significant, 2-fold increase in total B cells compared to healthy subjects, which was associated with increased activated B cell subsets. Although plasma total IgG titers were similar between groups, IDUs had significantly higher IgG3 and IgG4, suggestive of chronic B cell activation. Total IgM was also increased in IDUs, as well as HIV Envelope-specific IgM, suggestive of increased HIV exposure. IDUs exhibited numerous features suggestive of systemic inflammation, including significantly increased plasma sCD40L, TNF-α, TGF-α, IL-8, and ceramide metabolites. Machine learning multivariate analysis distilled a set of 10 features that classified samples based on group with absolute accuracy. Conclusions These results demonstrate broad alterations in the steady-state humoral profile of IDUs that are associated with increased systemic inflammation. Such dysregulation may impact the ability of IDUs to generate optimal responses to vaccination and infection, or lead to increased risk for inflammation-related co-morbidities, and should be considered when developing immune-based interventions for this growing population.
Endoscopic Raman Spectroscopy for Molecular Fingerprinting of Gastric Cancer: Principle to Implementation

Currently, positive endoscopic biopsy is the standard criterion for gastric cancer diagnosis but is invasive, often inconsistent, and delayed although early detection and early treatment is the most important policy. Raman spectroscopy is a spectroscopic technique based on inelastic scattering of monochromatic light. Raman spectrum represents molecular composition of the interrogated volume providing a direct molecular fingerprint. Several investigations revealed that Raman spectroscopy can differentiate normal, dysplastic, and adenocarcinoma gastric tissue with high sensitivity and specificity. Moreover, this technique can indentify malignant ulcer and showed the capability to analyze the carcinogenesis process. Automated on-line Raman spectral diagnostic system raised possibility to use Raman spectroscopy in clinical field. Raman spectroscopy can be applied in many fields such as guiding a target biopsy, optical biopsy in bleeding prone situation, and delineating the margin of the lesion. With wide field technology, Raman spectroscopy is expected to have specific role in our future clinical field.
How Messaging Shapes Attitudes toward Sea Otters as a Species at Risk

ABSTRACT To address the drivers of biodiversity loss, conservation efforts must attend to public attitudes toward endangered species. Using sea otters as a species at risk, we examined how messaging shapes people’s attitudes toward this species. Participants viewed a message about sea otters that was either positive (sea otters as keystone species), negative (resource conflict with local fishermen), or neutral (biological facts). The impact of the message on people’s attitudes was measured using Kellert’s typology of basic attitudes toward wildlife. We found that the negative message promoted people’s interests in the practical value of sea otters (utilitarian-consumption attitudes), their habitats (utilitarian-habitat attitudes), and control over sea otters (dominionistic attitudes), even though the negative message was perceived as less convincing and believable than positive or neutral messages. The positive message decreased utilitarian-consumption attitudes, and the neutral message decreased utilitarian-habitat attitudes. Our findings suggested that messaging can influence public attitudes toward wildlife.
Adaptive vertical handover algorithm based on user experience for heterogeneous network

Aiming at the problems of vertical handover in heterogeneous network, an adaptive vertical handover algorithm based on user experience is presented. User experience is embodied by cost function including following parameters, cost, security, power-consumption, received signal strength and signal delay. Adaptive function is introduced to dynamically adjust the above weight values, thereafter to realize adaptation. Heterogeneous network model of WLAN and UMTS is constructed and the algorithm is simulated based on it. Simulation results show that the proposed algorithm can drastically decrease the frequency of handover in comparison with traditional vertical handover algorithm based on RSS, and then improves success ratio of handover and user's experience in vertical handover.
C-elegans model identifies genetic modifiers of alpha-synuclein inclusion formation during aging

Inclusions in the brain containing a-synuclein are the pathological hallmark of Parkinson’s disease, but how these inclusions are formed and how this links to disease is poorly understood. We have developed a C. elegans model that makes it possible to monitor, in living animals, the formation of a-synuclein inclusions. In worms of old age, inclusions contain aggregated asynuclein, resembling a critical pathological feature. We used genome-wide RNA interference to identify processes involved in inclusion formation, and identified 80 genes that, when knocked down, resulted in a premature increase in the number of inclusions. Quality control and vesicle-trafficking genes expressed in the ER/Golgi complex and vesicular compartments were overrepresented, indicating a specific role for these processes in a-synuclein inclusion formation. Suppressors include aging-associated genes, such as sir-2.1/SIRT1 and lagr-1/LASS2. Altogether, our data suggest a link between a-synuclein inclusion formation and cellular aging, likely through an endomembrane-related mechanism. The processes and genes identified here present a framework for further study of the disease mechanism and provide candidate susceptibility genes and drug targets for Parkinson’s disease and other a-synuclein related disorders. Citation: van Ham TJ, Thijssen KL, Breitling R, Hofstra RMW, Plasterk RHA, et al. (2008) C. elegans Model Identifies Genetic Modifiers of a-Synuclein Inclusion Formation During Aging. PLoS Genet 4(3): e1000027. doi:10.1371/journal.pgen. 1000027 Editor: Stuart K. Kim, Stanford University Medical Center, United States of America Received October 2, 2007; Accepted February 8, 2008; Published March 21, 2008 Copyright: 2008 van Ham et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This project was funded by a ZonMW Research Institute of the Elderly grant (TvH, EAAN and RHAP) and an NWO VENI grant (EAAN). Competing Interests: The authors have declared that no competing interests exist. * E-mail: e.a. a.nollen@medgen.umcg. nl
High-level psychophysical tuning curves: simultaneous masking by pure tones and 100-Hz-wide noise bands.

Simultaneous-masked psychophysical tuning curves were obtained from normal-hearing listeners using low-level (20-25 dB SPL) probe tones in quiet and high-level (60 dB SPL) probe tones, both in quiet and in the presence of a broad-band background noise. The background noise was introduced to eliminate combination tones or combination bands and other off-frequency listening cues that exist at high levels. Tuning curves were obtained using pure-tone maskers and 100-Hz-wide narrow-band noise maskers for probe tones at 1000 and 4000 Hz. High-level tuning curves for pure-tone maskers demonstrated large discontinuities or "notches" on the low-frequency sides of the tuning curves. Broad-band background noise eliminated those notches, indicating that the notches were due to the detection of off-frequency listening cues at combination-tone frequencies. High-level tuning curves for 100-Hz-wide narrow-band maskers also demonstrated notches on the low-frequency sides. Those notches were eliminated with broad-band background noise, which indicates that combination bands strongly influenced the shapes of high-level tuning curves obtained with narrow-band maskers. The influence of combination bands was dependent upon test frequency. At 1000 Hz, combination bands had very little influence on the shapes of high-level tuning curves. At 4000 Hz, where the masker bandwidth was substantially less than the critical bandwidth, combination bands strongly affected the low-frequency sides of the tuning curves. In 2 subjects tested at a probe frequency of 2000 Hz with 100-Hz-wide masking bands, combination bands also influenced the low-frequency sides of high-level tuning curves. The presence of combination-tone or combination-band cues essentially steepened the low-frequency slopes of tuning curves, resulting in sharper estimates of tuning. Comparisons of tuning curves obtained with pure-tone maskers and narrow-band maskers, in the same listeners, revealed that pure-tone maskers were more effective than narrow-band maskers when the masker frequencies were in the tail region of the tuning curve. The results of these experiments support the notion that tuning in the normal auditory system broadens notably with stimulus level, once off-frequency listening cues such as combination tones or combination bands are eliminated. The low-level simultaneously masked tuning curve demonstrates a sharp bandpass tuning characteristic, whereas the high-level simultaneously masked tuning curve in background noise demonstrates a broad low-pass tuning characteristic. (ABSTRACT TRUNCATED AT 400 WORDS)
Feature Based Modeling of Heterogeneous Objects

The representation of Heterogeneous Object (HO) is divided into two categories: Data model (DM) and material evaluation paradigm (MEP). A hybrid methodology with geometry model and volumetric dataset to represent heterogeneous properties is proposed in this paper. Geometry model of an object can guarantee the accuracy of the final HO slices; and volumetric dataset lends the flexible manipulability and other advantages to HO representation. Two MEPs, namely distance field (DF) based and Fixed Reference Features & Active Grading Source(s) (FRF&AGS) are presented to facilitate the process of HO representation according to the designer)s input parameters. The DM can be modified interactively with users until the final satisfactory result is obtained. In this paper, a scheme of HO slicing is described. In this method, we utilize the slices contour of geometrical model as constraint to reconstruct the HO slices, which can theoretically achieve the same accuracy with the geometrical shape. Some examples of Heter.
ADAM17 in tumor associated leukocytes regulates inflammatory mediators and promotes mammary tumor formation

The presence of inflammatory cells within the tumor microenvironment has been tightly linked to mammary tumor formation and progression. Specifically, interactions between tumor cells and infiltrating macrophages can contribute to the generation of a pro-tumorigenic microenvironment. Understanding the complex mechanisms that drive tumor cell-macrophage cross-talk will ultimately lead to the development of approaches to prevent or treat early stage breast cancers. As described here, we demonstrate that the cell surface protease a disintegrin and metalloproteinase 17 (ADAM17) is expressed by macrophages in mammary tumors and contributes to regulating the expression of pro-inflammatory mediators, including inflammatory cytokines and the inflammatory mediator cyclooxygenase-2 (Cox-2). Furthermore, we demonstrate that ADAM17 is expressed on leukocytes, including macrophages, within polyoma middle T (PyMT)-derived mammary tumors. Genetic deletion of ADAM17 in leukocytes resulted in decreased onset of mammary tumor growth, which was associated with reduced expression of the Cox-2 within the tumor. These findings demonstrate that ADAM17 regulates key inflammatory mediators in macrophages and that leukocyte-specific ADAM17 is an important promoter of mammary tumor initiation. Understanding the mechanisms associated with early stage tumorigenesis has implications for the development of preventive and/or treatment strategies for early stage breast cancers.