Miracle-dz/UniFAR-FTUs huggingface dataset:
Phylogenetic analysis of human parainfluenza type 3 virus strains responsible for the outbreak during the COVID-19 pandemic in Seoul, South Korea

Background Human parainfluenza virus 3 (HPIV3) is a major respiratory pathogen that causes acute respiratory infections in infants and children. Since September 2021, an out-of-season HPIV3 rebound has been noted in Korea. The objective of this study was to analyze the molecular characteristics of the HPIV3 strains responsible for the outbreak in Seoul, South Korea. Methods A total of 61 HPIV3-positive nasopharyngeal swab specimens were collected between October and November 2021. Using 33 HPIV3-positive specimens, partial nucleotide sequences of the HPIV3 hemagglutinin-neuraminidase (HN) gene were aligned with previously published HN gene sequences for phylogenetic and genetic distance (p-distance) analyses. Results Phylogenetic tree revealed that all Seoul HPIV3 strains grouped within the phylogenetic subcluster C3. However, these strains formed a unique cluster that branched separately from the C3a lineage. This cluster showed 99% bootstrap support with a p-distance < 0.001. Genetic distances within the other C3 lineages ranged from 0.013 (C3a) to 0.023 (C3c). Deduced amino acid sequences of the HN gene revealed four protein substitutions in Seoul HPIV3 strains that have rarely been observed in other reference strains: A22T, K31N, G387S, and E514K. Conclusions Phylogenetic analysis of Seoul HPIV3 strains revealed that the strain belonged to a separate cluster within subcluster C3. Genetic distances among strains within subcluster C3 suggest the emergence of a new genetic lineage. The emergence of a new genetic lineage could pose a potential risk of a new epidemic. Further monitoring of the circulating HPIV3 strains is needed to understand the importance of newly discovered mutations.
Artificial Hsp104-mediated systems for re-localizing protein aggregates

Spatial Protein Quality Control (sPQC) sequesters misfolded proteins into specific, organelle-associated inclusions within the cell to control their toxicity. To approach the role of sPQC in cellular fitness, neurodegenerative diseases and aging, we report on the construction of Hsp100-based systems in budding yeast cells, which can artificially target protein aggregates to non-canonical locations. We demonstrate that aggregates of mutant huntingtin (mHtt), the disease-causing agent of Huntington’s disease can be artificially targeted to daughter cells as well as to eisosomes and endosomes with this approach. We find that the artificial removal of mHtt inclusions from mother cells protects them from cell death suggesting that even large mHtt inclusions may be cytotoxic, a trait that has been widely debated. In contrast, removing inclusions of endogenous age-associated misfolded proteins does not significantly affect the lifespan of mother cells. We demonstrate also that this approach is able to manipulate mHtt inclusion formation in human cells and has the potential to be useful as an alternative, complementary approach to study the role of sPQC, for example in aging and neurodegenerative disease. Protein aggregates are a hallmark of neurodegenerative disease and aging. Here, Fischbach et al. report engineered, artificial systems to re-localise or export protein aggregates from cells, with preliminary data showing that mHtt inclusions in S. cerevisiae may be cytotoxic.
Overlap across psychotic disorders: A functional network connectivity analysis

Functional network connectivity has previously been shown to distinguish patient groups from healthy controls (HC). However, the overlap across schizophrenia (SZ), bipolar (BP), and schizoaffective disorder (SAD) is not clear yet. This study focuses on finding overlap across these three psychotic disorders using dynamic FNC (dFNC) and compares it with static FNC (sFNC). We used resting-state fMRI, demographics, and clinical information from the Bipolar– Schizophrenia Network on Intermediate Phenotypes cohort. The data includes three groups of patients with schizophrenia (SZP, N=102), bipolar (BPP, N=102), and schizoaffective (SADP, N=102), their relatives SZR (N=102), BPR (N=102), SADR (N=102), and HC (N=118) groups. After estimating each individual’s dFNC, we put them into three identical states. We estimated five different features, including occupancy rate (OCR), number of transitions, the total number of transitions, and the total distance traveled. Finally, the extracted features are tested statistically across patients and HC groups. In addition, we explored the link between the clinical scores and the extracted features. We found that the OCR difference between SZP and SZR in state2, between BPP and HC in state1, and between SADP and HC in state2. Also, state2 OCR separates SZP from BPP, state 3 OCR separates BPP from SZP and SADP. Moreover, the OCR and traveled distance feature extracted from SZ and BP could significantly predict PANSS Total and PANSS General scores. Finally, combined distance features of all disorders showed a significant relationship to PANSS Total and PANSS General scores.
Endogenous IL-10 Contributes to Wound Healing and Regulates Tissue Repair

Background Interleukin-10 (IL-10) is essential in fetal regenerative wound healing and likewise promotes a regenerative phenotype in adult dermal wounds. However, the role of endogenous IL-10 in postnatal dermal wound healing is not well established. We sought to determine the role of IL-10 in murine full thickness, excisional wounds that are splinted to prevent contracture and mimic human patterns of wound closure. Methods Full thickness, excisional wounds were made in wildtype (WT) and IL-10-/- mice on a C57BL/6J background (F/M, 8wks old). In a subset of wounds, contraction was prevented by splinting with silicone stents (stenting) and maintaining a moist wound microenvironment using a semi-occlusive dressing. Wounds were examined for re-epithelialization, granulation tissue deposition, and inflammatory cell infiltrate at day 7 and fibrosis and scarring at day 30 post-wounding. Results We observed no difference in wound healing rate between WT and IL-10-/- mice in either the stented or unstented group. At day 7, unstented IL-10-/- wounds had a larger granulation tissue area and more inflammatory infiltrate than their WT counterparts. However, we did observe more F4/80+ cell infiltrate in stented IL-10-/- wounds at day 7. At day 30, stented wounds had increased scar area and epithelial thickness compared to unstented wounds. Conclusions These data suggest that endogenous IL-10 expression does not alter closure of full thickness excisional wounds when wound hydration and excessive contraction are controlled. However, the loss of IL-10 leads to increased inflammatory cell infiltration and scarring. These data suggest that previous reports of increased rates of healing in IL-10-/- mice ought to be revisited considering recent advances in wound healing models. Moreover, these new findings suggest that IL-10 contributes to regulation of inflammation without compromising the healing response.
Arginine 65 methylation of Neurogenin 3 by PRMT1 is a prerequisite for development of hESCs into pancreatic endocrine cells

In the developing pancreas, Neurogenin 3 (NGN3) is a key transcription factor in the cell fate determination of endocrine progenitors (EPs). Although the activation and stability of NGN3 are regulated by phosphorylation, the role of arginine methylation of NGN3 is poorly understood. Here, we report arginine 65 methylation of NGN3 is absolutely required for the pancreatic lineage development of human embryonic stem cells (hESCs) in vitro. First, we found inducible protein arginine methyltransferase 1 (PRMT1)-knockout (P-iKO) hESCs did not differentiate from EPs to endocrine cells (ECs) in the presence of doxycycline. Loss of PRMT1 caused an accumulation of NGN3 in the cytoplasm of EPs and blocked NGN3’s transcriptional activity in PRMT1-KO EPs. We also found that PRMT1 specifically methylates NGN3 arginine 65, and this modification is a prerequisite for ubiquitin-mediated NGN3 degradation. Our findings indicate arginine 65 methylation of NGN3 is a key molecular switch in hESCs in vitro permitting the differentiation into pancreatic endocrine lineages.
Debris and shrapnel assessments for National Ignition Facility targets and diagnostics

High-energy laser experiments at the National Ignition Facility (NIF) can create debris and shrapnel capable of damaging laser optics and diagnostic instruments. The size, composition and location of target components and sacrificial shielding (e.g., disposable debris shields, or diagnostic filters) and the protection they provide is constrained by many factors, including: chamber and diagnostic geometries, experimental goals and material considerations. An assessment of the generation, nature and velocity of shrapnel and debris and their potential threats is necessary prior to fielding targets or diagnostics. These assessments may influence target and shielding design, filter configurations and diagnostic selection. This paper will outline the approach used to manage the debris and shrapnel risk associated with NIF targets and diagnostics and present some aspects of two such cases: the Material Strength Rayleigh- Taylor campaign and the Mono Angle Crystal Spectrometer (MACS).
Real-time Rendering of Small-scale Volumetric Structure on Animated Surfaces

There are a lot of methods for rendering of shell-space geometry, represented through voxel texture, known for today. While the topic is well studied in terms of techniques for applying this geometry onto surfaces, a little attention was paid to representation of sub-pixel details of the geometry. Such details are prone to produce aliasing artifacts and reduce performance due to bad cache utilization. In this paper we solve these problems by introducing levels of detail for voxel textures within shell mapping technique. The main problem here is that less detailed levels begin to contain semi-transparent voxels on the edge of an encoded surface, which requires additional handling. For this we present a new approach for order independent transparency rendering based on depth peeling. We extend the algorithm by adding additional resolving pass which allows to fully utilize hardware z-buffering to reduce amount of overdraw. This significantly reduces cost of each subsequent peeling pass. Empirically, 3-4 of such passes is enough to produce good quality results in most cases. Another issue with shell mapping techniques is that shell geometry is constructed offline, making base surface to be static. By slightly modifying the method, we made the construction to be performed on-the-fly on GPU and be applicable for animated surfaces.
Can Markets Be Trusted ?

One of the most hotly debated issues in economic policy is when unfettered markets can be relied on to produce 'socially good' outcomes and, in cases where they produce 'socially bad' outcomes, how they should be regulated to promote efficiency and welfare. While the general public (and many politicians) tend to be sceptical that unregulated markets ever promote welfare, economics as a scientific discipline has made much progress in understanding when this is the case – at least in theory. In fact, the theory of industrial organisation describes in great detail when markets work, when they fail and how such failures can be remedied. Unfortunately, these theories are often difficult to relate to and to implement in practice. One reason is that theory is simple and abstract while reality is inherently complex and rich. This complexity means that it is often difficult to measure exactly how efficient a particular market is or to decide if the theory can be applied to a particular case because the assumptions underlying the theory might not be met in practice or aspects of the environment that are not modelled in theory might matter.
Emotional memory and the effect of music on the memory of older adults

Older adults remember emotional stimuli to a greater extent than neutral ones. This would be higher for positive stimuli. Several studies used music to modulate emotional memories in young adults, in the consolidation stage. This was scarcely studied in older adults using negative, positive and neutral stimuli. The aim of this work is to study emotional memory in older adults and the effect of activating and relaxing music on emotional and neutral visual memory. Forty-four older adults were evaluated. They observed negative, positive, and neutral pictures. Then, a relaxing, activating or white noise musical treatment was applied to them, followed by a free recall and recognition task. A week later, the free recall and recognition tasks were repeated. The results indicated better memory free of emotional stimuli, and a greater number of emotional false positives. Relaxing music worsened delayed recognition, and white noise produced better immediate recall of positive pictures. The results indicate that emotional memory is preserved in older adults. Music modulates memories differently in older adults compared to younger adults, as only relaxing music produced the expected effect.
Employer brand communication in job advertisements

The concept of the employer brand has been developing intensively and it is the subject of interest and research of scholars and practitioners in the field of both marketing and human resource management. The aim of the research presented in the paper is to examine the content of job advertisements of the most desirable employers in Serbia, as well as to examine the extent to which they communicate the elements that potential candidates value when assessing the attractiveness of employers. By employing content analysis, the content of job advertisements of Serbian most attractive employers is determined and classified. In total, 291 job advertisements of 18 most desirable employers published on the Infostud platform in the period March-June 2021 were analyzed. In the exploratory research, a qualitative and quantitative analysis of published job advertisements was performed. The results of the research indicate that the content of job advertisements of the most desirable employers in Serbia most often communicates about the work environment and opportunities for acquiring knowledge. In addition, instrumental aspects of the workplace, ie information related to earnings, bonuses and rewards, are communicated more often for lower positions. Although not all elements describing the desired employer were part of the content of the advertisements, it was determined that the most desirable employers in the advertisements pay attention to visual solutions, topics shown in photos, engaging employees in communicating the employer's brand, and communication of product brands.
Effects of Wall Shape Changes in Indoor Air Circulation - Studies on Concave and Convex Walls

Abstract In naturally ventilated environments, indoor temperatures are directly related to the air circulation and conditions of the built environment. Taking natural ventilation as an important comfort source, our aim in this work is to evaluate the design plan interference - in this case, wall shape - on the potential of indoor air circulation to a specific building environment. Indoor air circulation improvements for some simple wall modifications to the original specific plan are analyzed. The specific plan is a prototype of a small habitation module, which was developed to apply the alteration and to evaluate the indoor ventilation changes. A Petrov-Galerkin stabilized finite element method on the Navier-Stokes equations formulated in velocity and pressure variables was used to obtain the wind field. The implemented numerical method ensures stability for the internal constraint imposed by the velocity field and accommodates moderate to large advection effects. By introducing and applying a global circulation index to the obtained wind field, it was possible to determine the wall shape modification alternatives that do or do not increase ventilation and can alter its distribution allowing, in this way, a better adequacy of the built environment for climate needs and its objectives.
Wearable microfluidic-based e-skin sweat sensors

Electronic skins (e-skins) are soft (deformable and stretchable) state-of-the-art wearable devices that emulate the attributes of human skin and act as a Human–Machine Interface (HMI). Recent advances in e-skin for real-time detection of medical signals such as pulse, temperature, electromyogram (EMG), electroencephalogram (EEG), electrooculogram (EOG), electrocardiogram (ECG), and other bioelectric signals laid down an intelligent foundation for early prediction and diagnosis of diseases with a motive of reducing the risk of the ailment reaching to the end stage. In particular, sweat testing has been employed in diverse applications ranging from medical diagnosis of diabetes, cystic fibrosis, tuberculosis, blood pressure, and autonomic neuropathy to evaluating fluid and electrolyte balance in athletes. Typically, sweat testing techniques are done by trained experts and require off-body measurements, which prevent individuals from de-coding health issues quickly and independently. With the onset of soft electronics, wearable sweat sensors overcome this disadvantage via in situ sweat measurements with real-time feedback, timely diagnosis, creating the potential for preventive care and treatment. Over the past few decades, wearable microfluidic-based e-skin sweat sensors have paved a new way, promising sensing interfaces that are highly compatible with arranging medical and electronic applications. The present review highlights the recent research carried out in the microfluidic-based wearable sweat sensors with a critical focus on real-time sensing of lactate, chloride, and glucose concentration; sweat rate, simultaneously with pH, and total sweat loss for preventive care, timely diagnosis, and point-of-care health and fitness monitoring.
Knowledge Sharing, and Training Are Critical for Future Success Pharmacometrics as a Discipline Is Entering the ''Industrialization'' Phase: Standards, Automation,

http://jcp.sagepub. com/content/50/9_suppl/9S The online version of this article can be found at: DOI: 10.1177/0091270010377788 2010 50: 9S J Clin Pharmacol R. Gastonguay, Bernd Meibohm and Hartmut Derendorf Klaus Romero, Brian Corrigan, Christoffer W. Tornoe, Jogarao V. Gobburu, Meindert Danhof, William R. Gillespie, Marc Knowledge Sharing, and Training Are Critical for Future Success Pharmacometrics as a Discipline Is Entering the ''Industrialization'' Phase: Standards, Automation,
Effect of scapular upward rotation exercises on scapular neuromuscular tenderness in subjects with depressed scapular alignment

Among the numerous scapular mal-alignments, scapular downward rotation (SDR) presents with depression, abduction and scapular tilt, attributed to upper trapezius elongation and levator scapulae stiffness, which consequently impacts scapular upward rotation. Scapular upward rotation exercise (SURE) that increase scapular upward rotators’ strength and stretch scapular downward rotator, provide the SDR patient with optimum muscle conditions in terms length and strength. This study was carried out to investigate the impact of upward rotation exercises on scapular muscles tenderness in subjects with scapular downward rotation alignment. Setting the p value at p < 0.001, the six weeks of intervention significantly improved pressure pain threshold (PPT) post-treatment of median, ulnar, radial nerves, upper trapezius, and upper and lower cervical facet joints (C2/C3 and C5/C6 zygapophyseal joints) compared to those of pre-treatment, with a percent of increase of 81.85%, 93.38%, 92.68%, 87.54%, 76.32% and 69.66 % respectively. These results suggest that scapular upward rotation exercises regain optimal scapular function and posture that reduces neuromuscular tenderness in subjects with SDR.
PCA-based Method for Damage Detection Exploring Electromechanical Impedance in a Composite Beam

This work proposes to identify structural damage in a Structural Health Monitoring (SHM) system using the Electromechanical Impedance based-method. All analysis is carried out considering the time-domain structural response obtained from PZT transducers. Principal Component Analysis is applied to those response signals and PCA loadings are used as input to compute the statistical metrics Root Mean Square Deviation (RMSD) and Welch’s t-test. At first, experimental tests were carried out on a carbon fiber beam. This analysis also incorporates variation in the voltage level for the excitation procedure. Furthermore, tests also were carried out in a composite plate. Damage was simulated by drilling holes in the beam and adding mass to the plate. At the conclusion results for both experimental tests are presented and discussed. doi: 10.12783/SHM2015/94
Breaking through the Disbelief: The March 1997 Flood at Cloncurry 'Even the Duck Swam Away'

The events leading to the floods in the year 1883, 1954 and 1991 at the Clonburry river and town, which caused considerable loss of property, are studied based on the comments and interviews from residents and Mayor Noel Robertson. From the various inputs gathered, the establishment of an improved warning system is recommended to bring an earlier warning accompanied by an awareness campaign that alerts people to the dangers, along with education to pay attention to the warning system.
Sine-square deformed mean-field theory

We develop a theory that accurately evaluates quantum phases with any large-scale emergent structures including incommensurate density waves or topological textures without {\it a priori} knowing their periodicity. We spatially deform a real-space mean-field Hamiltonian on a finite-size cluster using a sine-squared envelope function with zero energy at system edges. The wave functions become insensitive to the misfit of the lattice and ordering periods. We successfully extract the ordering wave vectors by our deformed Fourier transformation, updating the previous results for hole-doped and spin-orbit coupled Mott insulators. The method further enables the evaluation of a charge gap beyond the mean-field level.
Acute branch retinal artery occlusion segmentation based on Bayes posterior probability and deep learning

Branch retinal artery occlusion (BRAO) is an ophthalmic emergency. Acute BRAO is a clinical manifestation of BRAO. Due to its various shapes, locations and the blurred boundary, the automatic segmentation of acute BRAO is very challenging. To tackle these problems, we propose a novel method based on deep learning for automatic acute BRAO segmentation in optical coherence tomography (OCT) image. In this method, a novel Bayes posterior attention network, named as BPANet, is proposed for precise segmentation of the lesion. Our major contributions include: (1) A novel Bayes posterior probability based spatial attention module is used to enhance the information of lesion region. (2) An effective max-pooling and average-pooling channel attention module is embedded into BPANet to improve the effectiveness of the feature extraction. The proposed method is evaluated on 472 OCT B-scan images with a 4-fold cross validation strategy. The mean and standard deviation of Dice similarity coefficient, true positive rate, accuracy and intersection over union are 85.48±1.75%, 88.84±1.19%, 98.63±0.48% and 76.88±2.92%, respectively. The primary results show the effectiveness of the proposed method.