Miracle-dz/UniFAR-FTUs huggingface dataset:
A Preliminary Investigation Into the Relationship Between Autistic Traits and Self-Compassion

Self-compassion refers to the extension of kindness to oneself when faced with feelings of inadequacies, shortcomings or failures. It is possible that individuals high in autistic traits may encounter difficulties with self-compassion, and this could be particularly pronounced due to the social challenges they might face. To explore this potential relationship, we recruited university students and members of the general population to an online survey (n = 176). Participants completed measures on demographics, autistic traits, and self-compassion. We found that autistic traits were indeed negatively correlated with self-compassion in both males and females. Interestingly, a comparison of the slopes showed significantly stronger relationships in males compared to females for the negative (but not the positive) subscales of the self-compassion scale. Although speculative at this point, it is possible that self-compassion acts as a mediator between autistic traits and psychopathology. With this in mind, further work is warranted to determine whether self-compassion could be a target for therapeutic intervention.
Diagnosis of syphilis by polymerase chain reaction and molecular typing of Treponema pallidum

Treponema pallidum subspecies pallidum is the causative agent of syphilis, a sexually transmitted disease that still represents a major world health problem. Serology, the standard laboratory method used for the diagnosis of syphilis, has several limitations that preclude reliable diagnosis of syphilis in some cases. Direct methods of syphilis diagnosis are suboptimal because of low sensitivity and low specificity (microscopy), or because of costly and delayed test results (rabbit infectivity test). Recent status of PCR-based syphilis diagnosis and molecular typing schemes are reviewed. PCR detection of Treponema pallidum in various clinical samples showed high sensitivity, specificity and potential for molecular typing. PCR diagnosis is therefore considered an important auxiliary laboratory test for syphilis. Typing of Treponema pallidum strains isolated from patients will stimulate epidemiological studies of syphilis and will allow discrimination between re-infection and reactivation of infection.
Validation and quality measurements for STS, EuroSCORE II and a regional risk model in Brazilian patients

Objectives The objectives of this study were to describe a novel statewide registry for cardiac surgery in Brazil (REPLICCAR), to compare a regional risk model (SPScore) with EuroSCORE II and STS, and to understand where quality improvement and safety initiatives can be implemented. Methods A total of 11 sites in the state of São Paulo, Brazil, formed an online registry platform to capture information on risk factors and outcomes after cardiac surgery procedures for all consecutive patients. EuroSCORE II and STS values were calculated for each patient. An SPScore model was designed and compared with EuroSCORE II and STS to predict 30-day outcomes: death, reoperation, readmission, and any morbidity. Results A total of 5222 patients were enrolled in this study between November 2013 and December 2017. The observed 30-day mortality rate was 7.6%. Most patients were older, overweight, and classified as New York Heart Association (NYHA) functional class III; 14.5% of the patient population had a positive diagnosis of rheumatic heart disease, 10.9% had insulin-dependent diabetes, and 19 individuals had a positive diagnosis of Chagas disease. When evaluating the prediction performance, we found that SPScore outperformed EuroSCORE II and STS in the prediction of mortality (0.90 vs. 0.76 and 0.77), reoperation (0.84 vs. 0.60 and 0.56), readmission (0.84 vs. 0.55 and 0.51), and any morbidity (0.80 vs. 0.65 and 0.64), respectively (p<0.001). Conclusions The REPLICCAR registry might stimulate the creation of other cardiac surgery registries in developing countries, ultimately improving the regional quality of care provided to patients.
Allozyme variability in an invasive drosophilid, Zaprionus indianus (Diptera: Drosophilidae): comparison of a recently introduced Brazilian population with Old World populations

Abstract Colonizing species often go through genetic bottlenecks when new territories are invaded. The South American continent has been recently colonized by a generalist African drosophilid, Zaprionus indianus, which has become an agricultural pest in Brazil in the last five years. In this paper we used allozyme electrophoresis to estimate levels of genetic differentiation of Z. indianus collected from sites 4 300 km apart in Brazil. We also compared the level of polymorphism of the Brazilian populations with that found in laboratory strains from Africa and Asia, to verify if a significant decrease in gene variability has taken place during the invasion process. The populations were polymorphic for three out of the 11 loci investigated. Genetic distances and FST indices among Brazilian populations were small and generally non significant, suggesting a colonization from one single propagule followed by a rapid demographic expansion. Ancestral and old populations from Africa and Asia were slightly more heterozygous than those from Brazil. Compared to other drosophilids, Z. indianus appears to be characterized by a low proportion (25%) of polymorphic loci. We suggest that the propagule introduced to Brazil had a sufficient size to carry almost all the polymorphism from the (unknown) origin population, although not the precise allelic frequencies.
Qualitative evaluation of a social media campaign to improve healthy food habits among urban adolescent females in Indonesia

Abstract Objective: The current study focuses on how adolescent girls in urban Indonesia accept technology in a social media (SM) campaign to promote healthy eating habits. Design: The study was a qualitative evaluation of the online campaign. In-depth interviews using semi-structured interview guidelines and focus group discussions were used to collect data. Data were analysed using a general inductive approach to provide simple and straightforward answers to our study questions. Settings: The study was conducted in two urban areas in Indonesia: Jakarta and Jogjakarta. Participants: Adolescent girls aged 16–19 years. Results: The SM campaign was perceived as beneficial for increasing participants’ knowledge. The campaign helped increase participants’ awareness of healthy diets and the health risks of unhealthy diets as well as increase their motivation to change their behaviour and avoid foods containing salt, sugar and excess fat. The participants perceived information from the online campaign as complete and trustworthy. Instagram was cited as the easiest platform to use, while the website was cited as having the most complete information. YouTube provided the best viewing experience but was considered a data-heavy platform. The barriers to change were perceptions of taste, limited choices for healthy but affordable ingredients and family-related factors. Conclusions: The online nutrition campaign was well accepted by Indonesian urban adolescent females and motivated them to act to protect their health. Future nutrition-related SM campaigns aimed at this demographic should focus on platforms with the greatest benefit and ease of use.
Bird Populations in Successional Forests of Mountain Ash Eucalyptus Regnans in Central Victoria

Bird populations were estimated from 1977 to 1979 by mapping territories and by an "area search" method in stands of differing age (regenerating after wildfire or harvesting eucalypts) in the Victorian Central Highlands mainly near Toolangi. The aims were to assess effects of harvesting (followed by burning and artificial regeneration) and provide data on populations and ecology of birds inhabiting this distinctive forest type. Mountain Ash forests grow in high rainfall areas and the trees can reach heights of 100 m; they usually grow as even-aged stands and 79% of Mountain Ash forests in the Central Highlands has regenerated after severe fires in 1939. About 65 species of birds were found to be regular inhabitants of Mountain Ash forests and associated plant com- munities. All except the Pink Robin breed also in foothill gullies. Several species that are common in drier foothill forests, were absent from Mountain Ash forests. The commonest species were those that feed in the dense shrub layer or from damp ground below. Some insectivorous birds that were abundant in summer (e.g. Golden Whistler Pachycephala pectoralis, Grey Fantail Rhipldura fuliginosa) left Mountain Ash forests for the winter. Winter food sources were limited and the most important were blossoms of Mountain Correa Correa lawrenclana, invertebrates in damp leaf litter, and invertebrates or carbohydrate exudates from hanging bark of Mountain Ash or branches and trunks of Silver Wattle Acacia dealbata. Habitats and interactions between various bird species are described. Bird population densities were low in the first three years after harvesting but some species were confined to open stands of this age. Other forest birds returned rapidly as eucalypts and understorey species regenerated. Populations were as high in 39-year-old regrowth as in older stands though some species (mainly those that need tree hollows for nesting) were more common in older forest. Implications for management are discussed.
The Leaky Integrating Threshold and its impact on evidence accumulation models of choice response time (RT).

A common assumption in choice response time (RT) modeling is that after evidence accumulation reaches a certain decision threshold, the choice is categorically communicated to the motor system that then executes the response. However, neurophysiological findings suggest that motor preparation partly overlaps with evidence accumulation, and is not independent from stimulus difficulty level. We propose to model this entanglement by changing the nature of the decision criterion from a simple threshold to an actual process. More specifically, we propose a secondary, motor preparation related, leaky accumulation process that takes the accumulated evidence of the original decision process as a continuous input, and triggers the actual response when it reaches its own threshold. We analytically develop this Leaky Integrating Threshold (LIT), applying it to a simple constant drift diffusion model, and show how its parameters can be estimated with the D*M method. Reanalyzing 3 different data sets, the LIT extension is shown to outperform a standard drift diffusion model using multiple statistical approaches. Further, the LIT leak parameter is shown to be better at explaining the speed/accuracy trade-off manipulation than the commonly used boundary separation parameter. These improvements can also be verified using traditional diffusion model analyses, for which the LIT predicts the violation of several common selective parameter influence assumptions. These predictions are consistent with what is found in the data and with what is reported experimentally in the literature. Crucially, this work offers a new benchmark against which to compare neural data to offer neurobiological validation for the proposed processes. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
The "Big Everything": Integrating and investigating dimensional models of psychopathology, personality, personality pathology, and cognitive functioning.

Common factors are increasingly used to model the structure of psychopathology ("p"), personality (General Factor of Personality [GFP]), pathological personality (General Factor of Pathological Personality [GFPP]), and intelligence ("g"). Using 4 waves spanning ages 18-29 in a cohort of college students (baseline n = 489), this study used indicators of psychopathology, personality, pathological personality, and cognitive functioning to compare models that included Cognitive Functioning, p, GFP, GFPP, and a "Big Everything" factor (which included cross-domain measures as indicators). GFP, GFPP, and p exhibited substantial overlap, and the Big Everything factor accounted for considerable variance in psychopathology, personality, and pathological personality indicators. Only a self-report measure of cognitive functioning loaded significantly onto the Big Everything. This study highlights concerns in the pursuit of identifying and reifying common factors based on the modeling of residual variances and limitations of using factor modeling to determine the structure of psychologically relevant phenomena. (PsycInfo Database Record (c) 2020 APA, all rights reserved).
Inhibition of E. coli Host RNA Polymerase Allows Efficient Extracellular Recombinant Protein Production by Enhancing Outer Membrane Leakiness

With the growing interest in continuous cultivation of Escherichia coli, secretion of product to the medium is not only a benefit, but a necessity in future bioprocessing. In this study, it is shown that induced decoupling of growth and heterologous gene expression in the E. coli X‐press strain (derived from BL21(DE3)) facilitates extracellular recombinant protein production. The effect of the process parameters temperature and specific glucose consumption rate (qS) on growth, productivity, lysis and leakiness, is investigated, to find the parameter space allowing extracellular protein production. Two model proteins are used, Protein A (SpA) and a heavy‐chain single‐domain antibody (VHH), and performance is compared to the industrial standard strain BL21(DE3). It is shown that inducible growth repression in the X‐press strain greatly mitigates the effect of metabolic burden under different process conditions. Furthermore, temperature and qS are used to control productivity and leakiness. In the X‐press strain, extracellular SpA and VHH titer reach up to 349 and 19.6 mg g−1, respectively, comprising up to 90% of the total soluble product, while keeping cell lysis at a minimum. The findings demonstrate that the X‐press strain constitutes a valuable host for extracellular production of recombinant protein with E. coli.
Dopamine and Glutamate in Antipsychotic-Responsive Compared With Antipsychotic-Nonresponsive Psychosis: A Multicenter Positron Emission Tomography and Magnetic Resonance Spectroscopy Study (STRATA)

Abstract The variability in the response to antipsychotic medication in schizophrenia may reflect between-patient differences in neurobiology. Recent cross-sectional neuroimaging studies suggest that a poorer therapeutic response is associated with relatively normal striatal dopamine synthesis capacity but elevated anterior cingulate cortex (ACC) glutamate levels. We sought to test whether these measures can differentiate patients with psychosis who are antipsychotic responsive from those who are antipsychotic nonresponsive in a multicenter cross-sectional study. 1H-magnetic resonance spectroscopy (1H-MRS) was used to measure glutamate levels (Glucorr) in the ACC and in the right striatum in 92 patients across 4 sites (48 responders [R] and 44 nonresponders [NR]). In 54 patients at 2 sites (25 R and 29 NR), we additionally acquired 3,4-dihydroxy-6-[18F]fluoro-l-phenylalanine (18F-DOPA) positron emission tomography (PET) to index striatal dopamine function (Kicer, min−1). The mean ACC Glucorr was higher in the NR than the R group after adjustment for age and sex (F1,80 = 4.27; P = .04). This was associated with an area under the curve for the group discrimination of 0.59. There were no group differences in striatal dopamine function or striatal Glucorr. The results provide partial further support for a role of ACC glutamate, but not striatal dopamine synthesis, in determining the nature of the response to antipsychotic medication. The low discriminative accuracy might be improved in groups with greater clinical separation or increased in future studies that focus on the antipsychotic response at an earlier stage of the disorder and integrate other candidate predictive biomarkers. Greater harmonization of multicenter PET and 1H-MRS may also improve sensitivity.
Proximity‐dependent labeling methods for proteomic profiling in living cells: An update

Characterizing the proteome composition of organelles and subcellular regions of living cells can facilitate the understanding of cellular organization as well as protein interactome networks. Proximity labeling‐based methods coupled with mass spectrometry (MS) offer a high‐throughput approach for systematic analysis of spatially restricted proteomes. Proximity labeling utilizes enzymes that generate reactive radicals to covalently tag neighboring proteins. The tagged endogenous proteins can then be isolated for further analysis by MS. To analyze protein–protein interactions or identify components that localize to discrete subcellular compartments, spatial expression is achieved by fusing the enzyme to specific proteins or signal peptides that target to particular subcellular regions. Although these technologies have only been introduced recently, they have already provided deep insights into a wide range of biological processes. Here, we provide an updated description and comparison of proximity labeling methods, as well as their applications and improvements. As each method has its own unique features, the goal of this review is to describe how different proximity labeling methods can be used to answer different biological questions.
Niacin Attenuates Pulmonary Hypertension Through H-PGDS in Macrophages

Supplemental Digital Content is available in the text. Rationale: Pulmonary arterial hypertension (PAH) is characterized by progressive pulmonary vascular remodeling, accompanied by varying degrees of perivascular inflammation. Niacin, a commonly used lipid-lowering drug, possesses vasodilating and proresolution effects by promoting the release of prostaglandin D2 (PGD2). However, whether or not niacin confers protection against PAH pathogenesis is still unknown. Objective: This study aimed to determine whether or not niacin attenuates the development of PAH and, if so, to elucidate the molecular mechanisms underlying its effects. Methods and Results: Vascular endothelial growth factor receptor inhibitor SU5416 and hypoxic exposure were used to induce pulmonary hypertension (PH) in rodents. We found that niacin attenuated the development of this hypoxia/SU5416–induced PH in mice and suppressed progression of monocrotaline-induced and hypoxia/SU5416–induced PH in rats through the reduction of pulmonary artery remodeling. Niacin boosted PGD2 generation in lung tissue, mainly through H-PGDS (hematopoietic PGD2 synthases). Deletion of H-PGDS, but not lipocalin-type PGDS, exacerbated the hypoxia/SU5416–induced PH in mice and abolished the protective effects of niacin against PAH. Moreover, H-PGDS was expressed dominantly in infiltrated macrophages in lungs of PH mice and patients with idiopathic PAH. Macrophage-specific deletion of H-PGDS markedly decreased PGD2 generation in lungs, aggravated hypoxia/SU5416–induced PH in mice, and attenuated the therapeutic effect of niacin on PAH. Conclusions: Niacin treatment ameliorates the progression of PAH through the suppression of vascular remodeling by stimulating H-PGDS–derived PGD2 release from macrophages.
LMNA Mutations G232E and R482L Cause Dysregulation of Skeletal Muscle Differentiation, Bioenergetics, and Metabolic Gene Expression Profile

Laminopathies are a family of monogenic multi-system diseases resulting from mutations in the LMNA gene which include a wide range of neuromuscular disorders. Although lamins are expressed in most types of differentiated cells, LMNA mutations selectively affect only specific tissues by mechanisms that remain largely unknown. We have employed the combination of functional in vitro experiments and transcriptome analysis in order to determine how two LMNA mutations associated with different phenotypes affect skeletal muscle development and metabolism. We used a muscle differentiation model based on C2C12 mouse myoblasts genetically modified with lentivirus constructs bearing wild-type human LMNA (WT-LMNA) or R482L-LMNA/G232E-LMNA mutations, linked to familial partial lipodystrophy of the Dunnigan type and muscular dystrophy phenotype accordingly. We have shown that both G232E/R482L-LMNA mutations cause dysregulation in coordination of pathways that control cell cycle dynamics and muscle differentiation. We have also found that R482/G232E-LMNA mutations induce mitochondrial uncoupling and a decrease in glycolytic activity in differentiated myotubes. Both types of alterations may contribute to mutation-induced muscle tissue pathology.
Laplacian Scores-Based Feature Reduction in IoT Systems for Agricultural Monitoring and Decision-Making Support

Internet of things (IoT) systems generate a large volume of data all the time. How to choose and transfer which data are essential for decision-making is a challenge. This is especially important for low-cost and low-power designs, for example Long-Range Wide-Area Network (LoRaWan)-based IoT systems, where data volume and frequency are constrained by the protocols. This paper presents an unsupervised learning approach using Laplacian scores to discover which types of sensors can be reduced, without compromising the decision-making. Here, a type of sensor is a feature. An IoT system is designed and implemented for a plant-monitoring scenario. We have collected data and carried out the Laplacian scores. The analytical results help choose the most important feature. A comparative study has shown that using fewer types of sensors, the accuracy of decision-making remains at a satisfactory level.
ABOid: A Software for Automated Identification and Phyloproteomics Classification of Tandem Mass Spectrometric Data

We have developed suite of bioinformatics algorithms for automated identification and classification of microbes based on comparative analysis of protein sequences. This application uses sequence information of microbial proteins revealed by mass spectrometry-based proteomics for identification and phyloproteomics classification. The algorithms transforms results of searching product ion spectra of peptide ions against a protein database, performed by commercially available software (e.g. SEQUEST), into a taxonomically meaningful and easy to interpret output. To achieve this goal we constructed a custom protein database composed of theoretical proteomes derived from all fully sequenced bacterial genomes (1204 microorganisms as of August 25th, 2010) in a FASTA format. Each protein sequence in the database is supplemented with information on a source organism and chromosomal position of each protein coding open reading frame (ORF) is embedded into the protein sequence header. In addition this information is linked with a taxonomic position of each database bacterium. ABOid analyzes SEQUEST search results files to provide the probabilities that peptide sequence assignments to a product ion mass spectrum (MS/MS) are correct and uses the accepted spectrumâ€“to-sequence matches to generate a sequence-to-organism (STO) matrix of assignments. Because peptide sequences are differentially present or absent in various strains being compared this allows for the classification of bacterial species in a high throughput manner. For this purpose, STO matrices of assignments, viewed as assignment bitmaps, are next analyzed by a ABOid module that uses phylogenetic relationships between bacterial species as a part of decision tree process, and by applying multivariate statistical techniques (principal component and cluster analysis), to reveal relationship of the analyzed unknown sample to the database microorganisms. Our bacterial classification and identification algorithm uses assignments of an analyzed organism to taxonomic groups based on an organized scheme that begins at the phylum level and follows through classes, orders, families and genus down to strain level.