Miracle-dz/UniFAR-FTUs huggingface dataset:
Posttraumatic Stress Disorder Symptoms and Suicide Risk in Male Firefighters: The Mediating Role of Anxiety Sensitivity

Abstract Posttraumatic stress disorder (PTSD) symptoms are positively related to suicide risk among firefighters. One mechanism that may account for this relationship is anxiety sensitivity (AS) cognitive concerns—the fear that cognitive symptoms of anxiety will have catastrophic consequences. We sought to replicate the mediating effect of AS cognitive concerns on the relationship between PTSD symptoms and suicide risk among 214 trauma-exposed male firefighters with non-zero suicide risk. Bootstrap mediation analyses tested AS cognitive concerns as a statistical mediator of PTSD symptoms (total and symptoms clusters scores) and suicide risk, controlling for depression symptoms and relevant demographic variables. AS cognitive concerns statistically mediated the relationship between PTSD symptoms (total score, as well as intrusion, avoidance, and arousal-reactivity symptoms clusters) and suicide risk; however, the reverse was also true. AS cognitive concerns may confer risk for suicide among trauma-exposed firefighters. Firefighters may benefit from AS-specific interventions, which are shown to reduce PTSD symptoms and suicidality.
Majority Group Members' Negative Reactions to Future Demographic Shifts Depend on the Perceived Legitimacy of Their Status: Findings from the United States and Portugal

Using concepts from social identity theory (Tajfel and Turner, 1979), we examined whether racial/ethnic majority group members' reactions to future demographic shifts is a function of the degree to which they perceive their ingroup's higher-status in society to be legitimate. In two studies, participants who varied in the degree to which they perceived their group's status to be legitimate were either exposed to real projections for 2060 (i.e., large decline in proportion of population that is the “majority” group), or fake projections for 2060—that resembled current figures (i.e., small decline). In Study 1, White Americans who perceived their status to be highly legitimate expressed greater intergroup threat, and negative feelings (anger and fear) toward minorities after exposure to projections with a large decline in the relative size of the White American population. In contrast, demographic shift condition had no effect on intergroup threat and negative feelings toward minorities among White Americans who perceived their status to be relatively illegitimate; negative feelings and threat remained low across both conditions. Similarly, in Study 2, ethnic Portuguese people in Portugal exposed to projections in which there was a large decline in the relative size of the ethnic Portuguese population experienced more intergroup threat and expressed a greater desire to engage in anti-immigration behaviors. The effect of demographic shift condition on intergroup threat and anti-immigration behaviors was stronger among ethnic Portuguese who perceived their status to be legitimate compared to ethnic Portuguese people who perceived their status to be relatively illegitimate. These results highlight that across different cultural contexts, majority group members' beliefs about the legitimacy of intergroup relations can affect their reactions to the prospect of increased diversity.
Relationship between Microcellular Foaming Injection Molding Process Parameters and Cell Size

为了学习在主要进程参数和房间之间的关系，缩放， microcellular 起泡沫注射过程的房间生长的数学模型被造。 然后数字的模拟作为试验性的方法被采用，并且 Taguchi 方法被用来在房间尺寸上分析过程参数的效果的意义。 最后，进程参数集中于融化温度，注射时间，充满的模子温度和 pre- 卷。 意义顺序从对大房间尺寸上的每个过程参数的效果小融化温度，预先充满的体积，注射时间，和模子温度。 根据上面的研究，房间尺寸上的每个进程参数的效果是 melt 温度的进一步的 researched.Appropriate 减小，我们充满卷的增加能有效地优化房间尺寸，当房间尺寸上的注射时间和模子温度的效果是不太重要的时。
A Direct Bicarbonate Detection Method Based on a Near-Concentric Cavity-Enhanced Raman Spectroscopy System

Raman spectroscopy has great potential as a tool in a variety of hydrothermal science applications. However, its low sensitivity has limited its use in common sea areas. In this paper, we develop a near-concentric cavity-enhanced Raman spectroscopy system to directly detect bicarbonate in seawater for the first time. With the aid of this near-concentric cavity-enhanced Raman spectroscopy system, a significant enhancement in HCO3− detection has been achieved. The obtained limit of detection (LOD) is determined to be 0.37 mmol/L—much lower than the typical concentration of HCO3− in seawater. By introducing a specially developed data processing scheme, the weak HCO3− signal is extracted from the strong sulfate signal background, hence a quantitative analysis with R2 of 0.951 is made possible. Based on the spectra taken from deep sea seawater sampling, the concentration of HCO3− has been determined to be 1.91 mmol/L, with a relative error of 2.1% from the reported value (1.95 mmol/L) of seawater in the ocean. It is expected that the near-concentric cavity-enhanced Raman spectroscopy system could be developed and used for in-situ ocean observation in the near future.
Callosal apraxia: a 34-year follow-up study

ABSTRACT Loss of ability of the left upper limb (LUL) to correctly produce spatial and temporal components of skilled purposeful movements was reported 34 years ago in a woman with a callosal infarction. To learn about recovery, we recently reexamined this woman. This woman was tested for ideomotor apraxia by asking her to pantomime to command and to seeing pictures of tools. Whereas she performed normally with her right upper limb, her LUL remained severely apraxic, making many spatial (postural and movement) errors. Initially, she did not reveal loss of finger–hand deftness (limb-kinetic apraxia), and when tested again with the coin rotation task, her left hand performance was normal. Without vision, she could name objects placed in her left hand but not name numbers written in this hand. Since this woman had a callosal lesion, failure to recover cannot be accounted for by left hemisphere inhibition of her right hemisphere. Although failure for her LUL to improve may have been related to not using her LUL for skilled actions, her right hemisphere was able to observe transitive actions, and this failure of her LUL to produce skilled purposeful movements suggests her right hemisphere may have not had the capacity to learn these movement representations. Without vision, her ability to recognize objects with her left hand, but not numbers written on her left palm, suggests graphesthesia may require that her left hand did not have access to movement representations important for programming these numbers when writing.
Network analysis of microRNAs, genes and their regulation in diffuse and follicular B-cell lymphomas

MicroRNAs (miRs) are short non-coding regulatory RNAs that control gene expression at the post-transcriptional level and play an important role in cancer development and progression, acting either as oncogenes or as tumor suppressors. Identification of aberrantly expressed miRs in patients with hematological malignancies as compared to healthy individuals has suggested that these molecules may serve as novel clinical diagnostic and prognostic biomarkers. We conducted a systematic literature review of articles published between 2007 and 2017 and re-analyzed experimentally-validated human miR expression signatures in diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL) from various biological sources (tumor tissue, peripheral blood, bone marrow and cell lines). A unique miR expression pattern was observed for each disease. Compared to healthy individuals, 61 miRs were aberrantly expressed in DLBCL and 85 in FL; 20-30% of aberrantly expressed miRs overlapped between the two lymphoma subtypes. Analysis of integrative positive and negative miRNA-mRNA relationships using the Ingenuity Pathway Analysis (IPA) system revealed 970 miR-mRNA pairs for DLBCL and 90 for FL. Through gene ontology analysis, we found potential regulatory pathways that are deregulated in DLBCL and FL due to improper expression of miR target genes. By comparing the expression level of the aberrantly expressed miRs in DLBCL to their expression levels in other malignancies, we identified seven miRs that are aberrantly expressed in DLBCL tumor tissues (miR-15a, miR-16, miR-17, miR-106, miR-21, miR-155 and miR-34a-5p). This specific expression pattern may be a potential diagnostic tool for DLBCL.
MayaChemTools: An Open Source Package for Computational Drug Discovery

MayaChemTools is a growing collection of Perl scripts, modules, and classes to support a variety of computational drug discovery needs, such as manipulation and analysis of data, generation of two-dimensional (2D) fingerprints, similarity searching, and calculation of physicochemical properties. MayaChemTools provides command line scripts for the following tasks: manipulation and analysis of data in SD, CSV/TSV, sequence/alignments, and PDB files; calculation of a key set of physicochemical properties, such as molecular weight, hydrogen bond donors and acceptors, logP, and topological polar surface area; generation of 2D fingerprints corresponding to atom neighborhoods, atom types, E-state indices, extended connectivity, MACCS keys, path lengths, topological atom pairs, topological atom triplets, topological atom torsions, topological pharmacophore atom pairs, and topological pharmacophore atom triplets; similarity searching and calculation of similarity matrices using available 2D fingerprints; listing properties of elements in the periodic table, amino acids, and nucleic acids; and exporting data from relational databases. An extensive set of modules and classes are also available for custom development. MayaChemTools is freely available online at www.MayaChemTools. org , under the terms of the GNU LGPL, as published by the Free Software Foundation.
Towards the Realistic Natural Language Representations

This essay suggests a way to derive a natural language representation from textual corpora into the connectionist, continuous representations. Based on the lexical priming theory and psycholinguistic evidence we discuss benefits and potential of alternative representations inspired by connectionist approaches towards computation of personalized mental lexicon from and during empirical language usage.
Water Diffusion Modelling of CFB Fly Ash Thermoset Composite

The shift in coal-fired power plants from pulverized coal (PC) boiler technology into the greener circulating fluidized bed (CFB) boiler technology resulted into a major deviation in the properties of the waste fly ash generated making it less suitable for its previous application as additives for construction materials. A new market for CFB fly ash had to be found for it not to end up as a zero value by-product. Using CFB fly ash as filler for thermoset composites is a new and remarkable application. Only a few studies, however, have been done to characterize the properties of this new material. Further experimentation and analysis may be costly and time-consuming since common procedures are material destructive. A computer-aided modeling of the composite’s water sorption behavior was done. The effect of particle loading, size and shape were considered. These properties were varied and the resulting overall diffusivities were compared to previous experimental studies. The comparison of the model and experimental diffusivity values showed satisfactory results. This model may then provide a cheaper and more time-efficient method for the characterization of the water sorption properties of CFB fly ash thermoset composites. In the future, this may lead to further studies on its application as a green material.
Adaptive multiscale morphology analysis and its application in fault diagnosis of bearings

In order to solve the problem of impulsive features extraction from strong noise background,an adaptive multiscale morphology analysis(AMMA)algorithm was proposed.Corresponding to the analysis signal,the length scale and height scale were defined separately to select structuring elements for multiscale morphology analysis.An adaptive algorithm based on the information of local peaks of the signal was discussed.Numerical simulation experiments show that the proposed AMMA algorithm is better than the single-scale morphology analysis algorithm for extracting morphological features,and avoids the drawbacks of the ambiguity of selecting structuring elements and the dependence of empirical rules.The proposed AMMA algorithm is also examined in morphology analysis of the experimental signal measured from a bearing with faults.The results confirm that the proposed AMMA algorithm is able to extract various features clearly.
GABA‐ and serotonin‐expressing neurons take part in inhibitory as well as excitatory input pathways to the circadian clock of the Madeira cockroach Rhyparobia maderae

In the Madeira cockroach, pigment‐dispersing factor‐immunoreactive (PDF‐ir) neurons innervating the circadian clock, the accessory medulla (AME) in the brain′s optic lobes, control circadian behaviour. Circadian activity rhythms are entrained to daily light–dark cycles only by compound eye photoreceptors terminating in the lamina and medulla. Still, it is unknown which neurons connect the photoreceptors to the clock to allow for light entrainment. Here, we characterized by multiple‐label immunocytochemistry the serotonin (5‐HT)‐ir anterior fibre fan and GABA‐ir pathways connecting the AME‐ and optic lobe neuropils. Colocalization of 5‐HT with PDF was confirmed in PDF‐ir lamina neurons (PDFLAs). Double‐labelled fibres were traced to the AME originating from colabelled PDFLAs branching in accessory laminae and proximal lamina. The newly discovered GABA‐ir medial layer fibre tract connected the AME to the medulla′s medial layer fibre system, and the distal tract fibres connected the AME to the medulla. With Ca2+ imaging on primary cell cultures of the AME and with loose‐patch‐clamp recordings in vivo, we showed that both neurotransmitters either excite or inhibit AME clock neurons. Because we found no colocalization of GABA and 5‐HT in any optic lobe neuron, GABA‐ and 5‐HT neurons form separate clock input circuits. Among others, both pathways converged also on AME neurons that coexpressed mostly inhibitory GABA‐ and excitatory 5‐HT receptors. Our physiological and immunocytochemical studies demonstrate that GABA‐ and 5‐HT‐immunoreactive neurons constitute parallel excitatory or inhibitory pathways connecting the circadian clock either to the lamina or medulla where photic information from the compound eye is processed.
Is the FSHR 2039A>G variant associated with susceptibility to testicular germ cell cancer?

Testicular germ cell cancer (TGCC) is derived from germ cell neoplasia in situ (GCNIS), which arises due to niche disturbances affecting the Sertoli cells. It is believed that exogenous endocrine factors have a crucial role in governing neoplastic transformation but on a strong hereditary background. Follicle‐stimulating hormone (FSH) is the major regulatory hormone of the Sertoli cells. FSH signalling‐related single‐nucleotide polymorphisms (SNPs) have previously been shown to affect FSH action in men at different levels. We aimed to investigate whether three FSH‐related SNPs (FSHR 2039A>G, FSHR ‐29G>A and FSHB ‐211G>T) are associated with development of TGCC. A total of 752 Danish and German patients with TGCC from two tertiary andrological referral centres were included. Three control groups comprising 2020 men from the general population, 679 fertile men and 417 infertile men, were also included. Chi‐squared test was performed to compare genotype‐ and allele frequencies. Kruskal–Wallis test was performed to compare age at diagnosis. Patients with TGCC had a higher frequency of the A‐allele of FSHR 2039A>G compared to the group of fertile men with an AA‐genotype frequency of 30.2% vs. 22.0%, respectively, p = 0.002. This variant is associated with higher FSH receptor activity. The distribution of the FSHR 2039A>G did not differ significantly between the patients with TGCC and the infertile or the general population. The frequency of the two other SNPs did not differ between patient with TGCC and any of the control groups. No differences were detected between genotypes and age distribution or histological subtype of the tumours. In conclusion, we observed that a genetic variant associated with FSHR activity may modulate the susceptibility to TGCC.
Mass Spectrometry-Based Screening Platform Reveals Orco Interactome in Drosophila melanogaster

Animals use their odorant receptors to receive chemical information from the environment. Insect odorant receptors differ from the G protein-coupled odorant receptors in vertebrates and nematodes, and very little is known about their protein–protein interactions. Here, we introduce a mass spectrometric platform designed for the large-scale analysis of insect odorant receptor protein–protein interactions. Using this platform, we obtained the first Orco interactome from Drosophila melanogaster. From a total of 1,186 identified proteins, we narrowed the interaction candidates to 226, of which only two-thirds have been named. These candidates include the known olfactory proteins Or92a and Obp51a. Around 90% of the proteins having published names likely function inside the cell, and nearly half of these intracellular proteins are associated with the endomembrane system. In a basic loss-of-function electrophysiological screen, we found that the disruption of eight (i.e., Rab5, CG32795, Mpcp, Tom70, Vir-1, CG30427, Eaat1, and CG2781) of 28 randomly selected candidates affects olfactory responses in vivo. Thus, because this Orco interactome includes physiologically meaningful candidates, we anticipate that our platform will help guide further research on the molecular mechanisms of the insect odorant receptor family.
Parallel interleaved VSCs: Influence of the PWM scheme on the design of the coupled inductor

The line current ripple and the size of the dc-link capacitor can be reduced by interleaving the carriers of the parallel connected Voltage Source Converters (VSCs). However, the interleaving of the carriers gives rise to the circulating current between the VSCs, and it should be suppressed. To limit the circulating current, magnetic coupling between the interleaved legs of the corresponding phase is provided by means of a Coupled Inductor (CI). The design of the CI is strongly influenced by the Pulsewidth Modulation (PWM) scheme used. The analytical model to evaluate the flux-linkage in the CI is presented in this paper. The maximum flux density and the core losses, being the most important parameters for the CI design, are evaluated for continuous PWM and discontinuous pulsewidth modulation (DPWM) schemes. The effect of these PWM schemes on the design of the CI is discussed. The simulation and the experimental results are finally presented to validate the analysis.
CGPredict

Heterogeneous multiprocessor system-on-chip architectures are endowed with accelerators such as embedded GPUs and FPGAs capable of general-purpose computation. The application developers for such platforms need to carefully choose the accelerator with the maximum performance benefit. For a given application, usually, the reference code is specified in a high-level single-threaded programming language such as C. The performance of an application kernel on an accelerator is a complex interplay among the exposed parallelism, the compiler, and the accelerator architecture. Thus, determining the performance of a kernel requires its redevelopment into each accelerator-specific language, causing substantial wastage of time and effort. To aid the developer in this early design decision, we present an analytical framework CGPredict to predict the performance of a computational kernel on an embedded GPU architecture from un-optimized, single-threaded C code. The analytical approach provides insights on application characteristics which suggest further application-specific optimizations. The estimation error is as low as 2.66% (average 9%) compared to the performance of the same kernel written in native CUDA code running on NVIDIA Kepler embedded GPU. This low performance estimation error enables CGPredict to provide an early design recommendation of the accelerator starting from C code.
Effect of a Comprehensive Intervention on Plasma BDNF in Patients with Alzheimer’s Disease

A comprehensive intervention (CI) on patients with Alzheimer’s disease was assessed by measuring plasmabrain-derived neurotrophic factor (pBDNF) and ADAS-Cog score (ADAS-Cogscore) before, immediately after (FU1), and 6 (FU2) and 24 months (FU3) after the CI. Baseline pBDNF was higher in patients with moderate AD (but not mild AD) than in healthy controls. At FU1, pBDNF and ADAS-Cogscore decreased significantly. At FU2 and FU3, patients’ cognitive status worsened and pBDNF further increased versus baseline, suggesting that CI interruption may be a stress event that prevents return to homeostasis. CI exerted positive short-term effects, but more information is needed on long-term consequences.
Efficient and Portable ALS Matrix Factorization for Recommender Systems

Alternating least squares (ALS) has been proved to be an effective solver of matrix factorization for recommender systems. To speedup factorizing performance, various parallel ALS solvers have been proposed to leverage modern multi-core CPUs and many-core GPUs/MICs. Existing implementations are limited in either speed or portability (constrained to certain platforms). In this paper, we present an efficient and portable ALS solver for recommender systems. On the one hand, we diagnose the baseline implementation and observe that it lacks the awareness of the hierarchical thread organization on modern hardware. To achieve high performance, we apply the thread batching technique and three architecture-specific optimizations. On the other hand, we implement the ALS solver in OpenCL so that it can run on various platforms (CPUs, GPUs, and MICs). Based on the architectural specifics, we select a suitable code variant for each platform to efficiently mapping it to the underlying hardware. The experimental results show that our implementation performs 5.5 faster on a 16-core CPU and 21.2 faster on K20c than the baseline implementation. Our implementation also outperforms cuMF on various datasets.
Design optimization for torque ripple minimization and poles cost reduction with hybrid permanent magnets

This paper presents design strategies for the optimized design of the rotor poles in synchronous permanent magnet machines. The strategies are aimed at the reduction of torque ripple and cogging torque. Sinusoidally rounded magnet and rotor step-skewing are investigated, then a new proposal to reduce the cost of magnetic pole made in rare earth is presented. The goal is to introduce into a rotor pole, a fraction of low cost ferrite magnets on either side of the main rare earth NdFeB permanent magnet. The design procedure begins with some analytical consideration that allows to optimize the geometrical design of the magnets. Using Finite Element (FE) simulations, the effectiveness of the analytical model is verified and the results of the various methods are compared.