Miracle-dz/UniFAR-FTUs huggingface dataset:
Effectiveness of pharmacotherapy for body dysmorphic disorder: a chart-review study.

BACKGROUND Research on the pharmacotherapy of body dysmorphic disorder (BDD) is limited. No placebo-controlled, continuation, maintenance, or discontinuation studies have been published. Only one augmentation study has been published. METHOD In this chart-review study of 90 patients with DSM-IV BDD treated for up to 8 years by the first 2 authors (K.A.P., R.S.A.) in their clinical practice, response to a variety of medications, including augmentation strategies, was assessed. The relapse rate with medication discontinuation was also determined. RESULTS All subjects received a serotonin reuptake inhibitor (SRI), with 63.2% (55/87) of adequate SRI trials resulting in improvement in BDD symptoms; similar response rates were obtained for each type of SRI. Discontinuation of an effective SRI resulted in relapse in 83.8% (31/37) of cases. Response rates to selective SRI augmentation were clomipramine, 44.4% (4/9) of trials; buspirone, 33.3% (12/36) of trials; lithium, 20.0% (1/5); methylphenidate, 16.7% (1/6); and antipsychotics, 15.4% (2/13) of trials. CONCLUSION These findings from a clinical setting suggest that a majority of BDD patients improve with an SRI and that all SRIs appear effective. Certain SRI augmentation strategies may be beneficial. The high relapse rate with SRI discontinuation suggests that long-term treatment is often necessary. These preliminary findings require confirmation in placebo-controlled efficacy studies and effectiveness studies.
Hierarchical fusion using vector quantization for visualization of hyperspectral images

Visualization of hyperspectral images that combines the data from multiple sensors is a major challenge due to huge data set. An efficient image fusion could be a primary key step for this task. To make the approach computationally efficient and to accommodate a large number of image bands, we propose a hierarchical fusion based on vector quantization and bilateral filtering. The consecutive image bands in the hyperspectral data cube exhibit a high degree of feature similarity among them due to the contiguous and narrow nature of the hyperspectral sensors. Exploiting this redundancy in the data, we fuse neighboring images at every level of hierarchy. As at the first level, the redundancy between the images is very high we use a powerful compression tool, vector quantization, to fuse each group. From second level onwards, each group is fused using bilateral filtering. While vector quantization removes redundancy, bilateral filter retains even the minor details that exist in individual image. The hierarchical fusion scheme helps in accommodating a large number of hyperspectral image bands. It also facilitates the midband visualization of a subset of the hyperspectral image cube. Quantitative performance analysis shows the effectiveness of the proposed method.
5-methylcytosine in RNA: detection, enzymatic formation and biological functions

The nucleobase modification 5-methylcytosine (m5C) is widespread both in DNA and different cellular RNAs. The functions and enzymatic mechanisms of DNA m5C-methylation were extensively studied during the last decades. However, the location, the mechanism of formation and the cellular function(s) of the same modified nucleobase in RNA still remain to be elucidated. The recent development of a bisulfite sequencing approach for efficient m5C localization in various RNA molecules puts ribo-m5C in a highly privileged position as one of the few RNA modifications whose detection is amenable to PCR-based amplification and sequencing methods. Additional progress in the field also includes the characterization of several specific RNA methyltransferase enzymes in various organisms, and the discovery of a new and unexpected link between DNA and RNA m5C-methylation. Numerous putative RNA:m5C-MTases have now been identified and are awaiting characterization, including the identification of their RNA substrates and their related cellular functions. In order to bring these recent exciting developments into perspective, this review provides an ordered overview of the detection methods for RNA methylation, of the biochemistry, enzymology and molecular biology of the corresponding modification enzymes, and discusses perspectives for the emerging biological functions of these enzymes.
An approach for the systematic development of domain‐specific languages

Building tailored software systems for a particular application domain is a complex task. For this reason, domain‐specific languages (DSLs) receive a constantly growing attention in recent years. So far the main focus of DSL research is on case studies and experience reports for the development of individual DSLs, design approaches and implementation techniques for DSLs, and the integration of DSLs with other software development approaches on a technical level. In this paper, we identify and describe the different activities that we conduct when engineering a DSL, and describe how these activities can be combined in order to define a tailored DSL engineering process. Our research results are based on the experiences we gained from multiple different DSL development projects and prototyping experiments. Copyright © 2009 John Wiley & Sons, Ltd.
Genome-wide assessment of post-transcriptional control in the fly brain

Post-transcriptional control of gene expression has central importance during development and adulthood and in physiology in general. However, little is known about the extent of post-transcriptional control of gene expression in the brain. Most post-transcriptional regulatory effectors (e.g., miRNAs) destabilize target mRNAs by shortening their polyA tails. Hence, the fraction of a given mRNA that it is fully polyadenylated should correlate with its stability and serves as a good measure of post-transcriptional control. Here, we compared RNA-seq datasets from fly brains that were generated either from total (rRNA-depleted) or polyA-selected RNA. By doing this comparison we were able to compute a coefficient that measures the extent of post-transcriptional control for each brain-expressed mRNA. In agreement with current knowledge, we found that mRNAs encoding ribosomal proteins, metabolic enzymes, and housekeeping genes are among the transcripts with least post-transcriptional control, whereas mRNAs that are known to be highly unstable, like circadian mRNAs and mRNAs expressing synaptic proteins and proteins with neuronal functions, are under strong post-transcriptional control. Surprisingly, the latter group included many specific groups of genes relevant to brain function and behavior. In order to determine the importance of miRNAs in this regulation, we profiled miRNAs from fly brains using oligonucleotide microarrays. Surprisingly, we did not find a strong correlation between the expression levels of miRNAs in the brain and the stability of their target mRNAs; however, genes identified as highly regulated post-transcriptionally were strongly enriched for miRNA targets. This demonstrates a central role of miRNAs for modulating the levels and turnover of brain-specific mRNAs in the fly.
A comparison of the effect of age on levator ani and obturator internus muscle cross‐sectional areas and volumes in nulliparous women

Functional tests have demonstrated minimal loss of vaginal closure force with age. So we tested the null hypotheses that age neither affects the maximum cross‐sectional area (CSA) nor the volume of the levator muscle. Corresponding hypotheses were also tested in the adjacent obturator internus muscle, which served as a control for the effect of age on appendicular muscle in these women.
Comparison of Primate Prefrontal and Premotor Cortex Neuronal Activity during Visual Categorization

Previous work has shown that neurons in the PFC show selectivity for learned categorical groupings. In contrast, brain regions lower in the visual hierarchy, such as inferior temporal cortex, do not seem to favor category information over information about physical appearance. However, the role of premotor cortex (PMC) in categorization has not been studied, despite evidence that PMC is strongly engaged by well-learned tasks and reflects learned rules. Here, we directly compare PFC neurons with PMC neurons during visual categorization. Unlike PFC neurons, relatively few PMC neurons distinguished between categories of visual images during a delayed match-to-category task. However, despite the lack of category information in the PMC, more than half of the neurons in both PFC and PMC reflected whether the category of a test image did or did not match the category of a sample image (i.e., had match information). Thus, PFC neurons represented all variables required to solve the cognitive problem, whereas PMC neurons instead represented only the final decision variable that drove the appropriate motor action required to obtain a reward. This dichotomy fits well with PFC's hypothesized role in learning arbitrary information and directing behavior as well as the PMC's role in motor planning.
Exploiting online music tags for music emotion classification

The online repository of music tags provides a rich source of semantic descriptions useful for training emotion-based music classifier. However, the imbalance of the online tags affects the performance of emotion classification. In this paper, we present a novel data-sampling method that eliminates the imbalance but still takes the prior probability of each emotion class into account. In addition, a two-layer emotion classification structure is proposed to harness the genre information available in the online repository of music tags. We show that genre-based grouping as a precursor greatly improves the performance of emotion classification. On the average, the incorporation of online genre tags improves the performance of emotion classification by a factor of 55% over the conventional single-layer system. The performance of our algorithm for classifying 183 emotion classes reaches 0.36 in example-based f-score.
Pilot study of traumatic brain injury and alcohol misuse among service members

Abstract Objective: Explore relationships among traumatic brain injury (TBI), substance misuse and other mental health disorders in US service members and to identify risk factors for substance misuse. Participants: Service members (n = 93 in final sample) injured while deployed to Operation Enduring Freedom or Operation Iraqi Freedom. Methods and materials: Longitudinal survey at 6 and 12 months post-intake. The following measures were used: problem substance use, Alcohol Expectancies Questionnaire-III, MINI International Neuropsychiatric Interview Substance Abuse Modules, Ohio State University TBI Identification Method, Neurobehavioural Symptom Inventory, Rivermead Post-Concussion Symptoms Questionnaire, Buss-Perry Aggression Questionnaire, Post-Traumatic Stress Disorder Checklist-Civilian Version, Beck Depression Inventory-II, Beck Anxiety Inventory. Results: More severe TBI and post-traumatic stress disorder (PTSD) symptoms at 6 months post-enrolment were associated with decreased odds of substance misuse 12 months after study enrolment. Alcohol expectancies and incurring a TBI at a younger age increased the odds of substance misuse. Conclusions: While the ability to generalize the current findings to a larger population is limited, the results provide direction for future studies on the prevention and treatment of substance misuse following TBI. The unexpected protective effect of more severe TBI may result from prospective attention to the injury and its consequences. Greater preventive benefit may result from identifying more service members with elevated risk. Lifetime history of TBI and alcohol expectancies may be candidate indicators for greater attention.
Outdoor flocking and formation flight with autonomous aerial robots

We present the first decentralized multi-copter flock that performs stable autonomous outdoor flight with up to 10 flying agents. By decentralized and autonomous we mean that all members navigate themselves based on the dynamic information received from other robots in the vicinity. We do not use central data processing or control; instead, all the necessary computations are carried out by miniature on-board computers. The only global information the system exploits is from GPS receivers, while the units use wireless modules to share this positional information with other flock members locally. Collective behavior is based on a decentralized control framework with bio-inspiration from statistical physical modelling of animal swarms. In addition, the model is optimized for stable group flight even in a noisy, windy, delayed and error-prone environment. Using this framework we successfully implemented several fundamental collective flight tasks with up to 10 units: i) we achieved self-propelled flocking in a bounded area with self-organized object avoidance capabilities and ii) performed collective target tracking with stable formation flights (grid, rotating ring, straight line). With realistic numerical simulations we demonstrated that the local broadcast-type communication and the decentralized autonomous control method allows for the scalability of the model for much larger flocks.
Evaluation of a nanoparticle drug delivery vehicle in medulloblastoma and organotypic brain cell cultures

It has been widely reported that cell culture dimension and microenvironment influence cell proliferation, differentiation, and gene expression, which lead to different interactions between drug delivery systems and cells. The development in evaluation of drug delivery systems has reached the stage where investigations are now concentrating on intracellular uptake and subcellular localization of drug delivery systems.This thesis investigates the use of three-dimensional (3-D) tissue culture models to study how nanoparticles (NPs) may behave in vivo. Poly (glycerol-adipate) (PGA) NPs can degrade into glycerol and adipate, which are not having toxic and anyundesirable local or systemic effects in the host. Following on the initial physicochemical characterization of PGA NPs loaded with drug and fluorescent dyes, investigations moved on to the biological studies of NPs in various cell culture model, e.g. monolayer culture, 3-D culture models, and brain tumour invasion model. Particle size, surface charge, and hydrophobicity are important features affecting the amount of particles taken up by cells and intracellular localisation of particles. Thus, the physicochemical properties of drug and fluorescent dye loaded PGA NPs were assessed by Photon Correlation Spectroscopy, Laser Doppler Anemometry, and drug/fluorescent dye loading studies. These studies indicated that physicochemical properties of drug, fluorescent dyes and PGA polymer could influence drug /fluorescent dye loading, which results in different particle size and surface charge of PGA NPs. Quantitative and qualitative investigations into the influence of cell culture dimension on uptake of NPs by cells, both by confocal fluorescence microscopy and flow cytometry, revealed that DAOY cells took up NPs more effectively when in 3-D spherical aggregate culture than in 2-D monolayer culture while uptake of NPs by normal brain cells was lower in 3-D cell culture than that seen in 2-D monolayer culture. This resulted in intracellular fluorescence intensity about 6 times higher in DAOY aggregates than normal brain cell aggregates while in monolayer culture mixed brain cells took up 2 times as many NP as the DAOY cells. The results from studies of NPs migrating through aggregates and tissue slices also indicated that penetration ofNPs in 3-D culture models was affected by the structure of the interstitial compartment and composition of extracellular matrix. Microscopic investigation of the histology of a co-culture invasion model of DAOY aggregates and a organotypic brain slice confirmed that DAOY cells massively invaded into cerebellum slices after a 4-day co-culture while the invasion of DAOY cells were limited within cerebral cortex slices even after a 6-day co-culture. Selective uptake of NPs by host cells and brain tumour cells were also assessed in this 3-D brain tumour invasion model. It showed that most NPs were taken up by DAOY cells instead of brain cells.
The evolutionary development of plant‐feeding insects and their nutritional endosymbionts

Herbivorous insects have evolved diverse mechanisms enabling them to feed on plants with suboptimal nutrient availability. Low nutrient availability negatively impacts insect herbivore development and fitness. To overcome this obstacle numerous insect lineages have evolved intimate associations with nutritional endosymbionts. This is especially true for insects that specialize on nitrogen‐poor substrates, as these insects are highly dependent on intracellular symbionts to provide nitrogen lacking in their insect host's diet. Emerging evidence in these systems suggest that the symbiont's and/or the insect's biosynthetic pathways are dynamically regulated throughout the insect's development to potentially cope with the insect's changing nutritional demands. In this review, we evaluate the evolutionary development of symbiotic insect cells (bacteriocytes) by comparing and contrasting genes and mechanisms involved in maintaining and regulating the nutritional symbiosis throughout insect development in a diversity of insect herbivore‐endosymbiont associations. With new advances in genome sequencing and functional genomics, we evaluate to what extent nutritional symbioses are shaped by (i) the regulation of symbiont titer, (ii) the regulation of insect symbiosis genes, and (iii) the regulation of symbiont genes. We discuss how important these mechanisms are for the biosynthesis of essential amino acids and vitamins across insect life stages in divergent insect–symbiont systems. We conclude by suggesting future directions of research to further elucidate the evolutionary development of bacteriocytes and the impact of these nutritional symbioses on insect–plant interactions.
Increased Transient Receptor Potential Canonical Type 3 Channels in Vasculature From Hypertensive Rats

We tested the hypothesis that transient receptor potential canonical type 3 (TRPC3) channels are increased in vascular smooth muscle cells and aortic tissue from spontaneously hypertensive rats (SHR) compared with normotensive Wistar Kyoto rats. Expression of TRPC3 was analyzed by immunohistochemistry and Western blotting. TRPC3 gene knockdown was performed by specific small interfering RNA and TRPC3 overexpression using the pAdEasy-1 system. Cytosolic calcium was measured using fluorescence spectrophotometry and vasoconstriction of aortic rings using a force transducer. In SHR, the expression of TRPC3 channel protein was significantly higher in aortic rings (1.48±0.05 versus 1.00±0.06; each n=6; P<0.01) and vascular smooth muscle cells (1.28±0.08 versus 1.00±0.03; each n=6; P<0.05) compared with Wistar Kyoto rats. Knockdown of TRPC3 gene expression by specific small interfering RNA significantly reduced the angiotensin II–induced calcium influx by 30±3% (n=6; P<0.01), whereas TRPC3 overexpression significantly increased it by 55±3% (n=6; P<0.01). The angiotensin II–induced calcium increase was significantly enhanced in vascular smooth muscle cells from SHR compared with Wistar Kyoto rats, even in the presence of the calcium channel blocker amlodipine. Angiotensin II significantly elevated the TRPC3 channel protein expression in vascular smooth muscle cells from SHR from 1.28±0.08 to 1.61±0.08 (each n=6; P<0.01). Angiotensin II–induced TRPC3 expression was prevented by telmisartan. Administration of telmisartan to SHR for 4 weeks significantly reduced blood pressure, angiotensin II–induced vasoconstriction, and TRPC3 channel protein expression in aortic tissue. TRPC3 expression was not significantly reduced after reduction of blood pressure in SHR using amlodipine. In conclusion, we give experimental evidence that increased TRPC3 channel protein expression in the vasculature is important for elevated blood pressure.
Borna Disease Virus Phosphoprotein Binds a Neurite Outgrowth Factor, Amphoterin/HMG-1

ABSTRACT The Borna disease virus (BDV) p24 phosphoprotein is an abundant protein in BDV-infected cultured cells and animal brains. Therefore, there is a possibility that binding of the p24 protein to cellular factor(s) induces functional alterations of infected neural cells in the brain. To identify a cellular protein(s) that interacts with BDV p24 protein, we performed far-Western blotting with extracts from various cell lines. Using recombinant p24 protein as a probe, we detected a 30-kDa protein in all cell lines examined. Binding between the 30-kDa and BDV p24 proteins was also demonstrated using BDV p24 affinity and ion-exchange chromatography columns. Microsequence analysis of the purified 30-kDa protein revealed that its N terminus showed complete homology with rat amphoterin protein, which is a neurite outgrowth factor abundant in the brain during development. Mammalian two-hybrid and immunoprecipitation analyses also confirmed that amphoterin is a specific target for the p24 protein in vivo. Furthermore, we showed that infection by BDV, as well as purified p24 protein in the medium, significantly decreased cell process outgrowth of cells grown on laminin, indicating the functional inhibition of amphoterin by interaction with the p24 protein. Immunohistochemical analysis revealed decreased levels of amphoterin protein at the leading edges of BDV-infected cells. Moreover, the expression of the receptor for advanced glycation end products, of which the extracellular moiety is a receptor for amphoterin, was not significantly activated in BDV-infected cells during the process of extension, suggesting that the secretion of amphoterin from the cell surface is inhibited by the binding of the p24 protein. These results suggested that BDV infection may cause direct damage in the developing brain by inhibiting the function of amphoterin due to binding by the p24 phosphoprotein.
Barriers to tuberculosis control in urban Zambia: the economic impact and burden on patients prior to diagnosis.

SETTING Chest Clinic, University Teaching Hospital, Zambia. OBJECTIVE To study the pre-diagnosis economic impact, burden, and barriers to care-seeking for tuberculosis patients in urban Zambia. DESIGN In-depth interviews conducted over a 9-week period with adult in-patients and out-patients registering with new pulmonary tuberculosis; data analysis using Epi Info. RESULTS Interviews were completed by 202 patients: 64% normally worked, but 31% stopped due to their tuberculosis, with an average of 48 days off. The mean duration of illness prior to their tuberculosis registration was 63 days, with 64% of patients delaying in presenting to the Chest Clinic. Of these, 38% blamed money shortages for their delay. In seeking diagnosis, patients incurred a mean total cost equivalent to 127% of their mean monthly income (pounds sterling UK 40 [$US 59]); direct expenditures represented 60% of this cost. In addition, patients lost, on average, 18 work days prior to diagnosis. Care-givers incurred costs equivalent to 31% of the mean monthly income (pounds sterling UK 10 [$US 15]). CONCLUSION The economic burden of tuberculosis on patients creates barriers to prompt diagnosis which may lead to continuing transmission of the infection. Important economic barriers include transportation expenditure, cost of 'special food', and lost income. These barriers may be reduced through interventions that reduce the number of health encounters, travel distances and duration of illness before diagnosis.