Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of supplementing diet with Thyme (Thymuas vulgaris L.) essential oil and/or selenium yeast on production performance and blood variables of broiler chickens

Abstract Background Organic products for animals are becoming more widely accepted by consumers. Using herbal additives may lead to more healthy animal products. In this research, it is hypothesized that thyme essential oil (TEO) and/or selenium yeast (SY) would be helpful to enhance production performance in broilers. Objective In the current study, the effects of adding TEO and/or SY to the diet on broiler performance and blood parameters were evaluated in broiler chickens. Methods A total of 480 chicks were distributed in 24 cages with 20 chicks (10 males and 10 females) each and assigned to be fed four iso‐caloric and iso‐nitrogenous diets including two levels (0 and 250 mg/kg) of TEO and two levels (0 and 0.3 mg/kg) of SY in a 2 × 2 factorial arrangement with six replicates. Results Adding SY significantly decreased feed intake in finishing period (22–42 d) (p < 0.05). Supplementation with SY and TEO significantly decreased plasma uric acid and triglyceride levels, respectively (p < 0.05). However, neither of the supplements had any influence on the plasma glucose and albumin levels (p > 0.05). The lowest level of plasma cholesterol was detected in the birds fed the TEO‐supplemented diet (p < 0.05). Addition of SY significantly increased blood glutathione peroxidase activity (p < 0.05). Conclusions Dietary supplemental TEO has a favourable effect on feed intake, weight gain, and body weight values. Besides, SY may decrease blood concentration of uric acid, as well as blood glutathione peroxidase activity. An interaction is detected between TEO and SY on blood cholesterol.
Novel bearingless machine with a single set of multiphase windings

A bearingless machine with a single set of multiphase windings was proposed based on the principle of motor levitation.Two needed magnetic fields were produced through feeding two groups of currents into the single set of multiphase windings by using a multiphase inverter.Taking a six phase induction machine as example,the levitation principle and winding configurations were analyzed. The inductance matrices considering airgap eccentricity were calculated with the modified winding function method.A radial force analytical model was deduced by virtual displacement method,and the correctness of the model were validated by finite element analysis.A mathematical model of the new bearingless machine was set up,and the simulation on the magnetic field oriented control showed stable suspension and good speed-regulation performance.
Investigation into the effect of the aspect ratio of cylindrical surface microstructure on von Willebrand factor damage

Hemorrhagic episodes in patients carrying mechanical circulatory support represent a severe clinical complication. These bleeding episodes may originate from a reduced functionality of von Willebrand factor (VWF), a multimer protein pertinent to form a hemostatic plug. The reduced functionality is due to increased loss of high molecular weight von Willebrand factor multimers (HMWM-VWF), a phenomenon that is facilitated by device-induced increases in shear stress to which VWF is exposed. However, in addition to the mechanics factors, VWF damage may also be affected by interface factors, including the properties of bulk material and the surface characteristics. In this study, the effect of cylindrical surface microstructure topography on VWF damage was investigated. In the 1 to 9 range, the high aspect ratio surface features were constructed on the polycarbonate (PC) films. The topographic surfaces were fabricated by 3D printing casting on a template. A roller pump circulation platform was built to conduct in vitro experiments. VWF antigen (VWF-Ag) and VWF ristocetin cofactor activity (VWF-Rico) on these topographic surfaces were quantified by enzyme-linked immunosorbent assay (ELISA), the loss of HMWM-VWF was quantified by immunoblotting. The lower loss of HMWM-VWF was observed on surfaces with high aspect ratio compared to the pristine PC templates and surfaces with low aspect ratio, while VWF-Ag was nearly unchanged. The topographical parameters found to significantly reduce the loss of HMWM-VWF were high aspect ratio structures of more than 5. The results signify that topographical manipulation of surfaces is a feasible approach for reducing the loss of HMWM-VWF.
Game-Based Learning in Pharmacy Education

Game-based learning (GBL) involves adding game elements to non-game activities to encourage engagement. Pharmacy curricula are required to incorporate active learning to meet accreditation standards. The literature supports that well-designed GBL holds the attention of students and improves knowledge in some instances. Furthermore, these adaptable experiences can be leveraged for a variety of content areas in pharmacy education. Some activities utilized by educators require large amounts of technological expertise, while others involve minimal use of technology. The incorporation of technology can create highly immersive experiences for learners; however, there are barriers (e.g., financial and technology prowess) to implementation compared to simpler designs. One area of GBL that is not well defined in the literature is how to adequately assess student learning outcomes. Most current studies describe subjective attitudes and confidence or assess content knowledge through objective pre- and post-tests. In the future, more defined and connected methods for assessment—such as active demonstrations within the game—will be needed to better incorporate GBL into pharmacy curricula. Based on the collective evidence in the literature, some GBL activities may serve as useful tools to improve pharmacy student engagement and learning.
SARS-CoV-2 does not replicate in HaCaT spontaneously immortalized human keratinocytes: implications for the pathogenesis of COVID-19-associated skin manifestations

Figure 1. A, B) Multiple red-to-brown crusted papules on the thighs. C, D) Wedge-shaped dense diffuse infiltrates in the superficial and middle dermis, consisting of large atypical cells with irregular nuclei, prominent nucleoli and frequent mitoses (haematoxylin and eosin staining; scale bars: 500 m [C] and 50 m [D]). Immunohistochemically, the large cells are CD30-positive (E) and CD4-positive (F) (scale bars: 50 m).
Advances in the role of heat shock protein 90 in prostate cancer

Prostate cancer is one of the most common tumours in adult men and heat shock proteins play an important biological function in prostate cancer as molecular chaperones involved in the pathogenesis, diagnosis, treatment and prognosis of a wide range of tumours. Among them, increased expression of HSP90, a member of the heat shock protein family, is associated with resistance to prostate cancer denervation and can promote tumour resistance, invasion and bone metastasis, thus making prostate cancer more difficult to treat. Therefore, targeting HSP90 in prostate cancer could be a promising strategy for oncology treatment. This paper reviews the structure and function of HSP90, HSP90‐mediated denudation resistance in prostate cancer and HSP90‐targeted antitumor therapy, with the aim of providing a new theoretical basis for prostate cancer treatment options in the clinical setting.
LncRNAs Are Differentially Expressed between Wildtype and Cell Line Strains of African Trypanosomes

Trypanosoma brucei is a parasitic protist that causes African sleeping sickness. The establishment of T. brucei cell lines has provided a significant advantage for the majority of T. brucei research. However, these cell lines were isolated and maintained in culture for decades, occasionally accumulating changes in gene expression. Since trypanosome strains have been maintained in culture for decades, it is possible that difference may have accumulated in fast-evolving non-coding RNAs between trypanosomes from the wild and those maintained extensively in cultures. To address this, we compared the lncRNA expression profile of trypanosomes maintained as cultured cell lines (CL) to those extracted from human patients, wildtype (WT). We identified lncRNAs from CL and WT from available transcriptomic data and demonstrate that CL and WT have unique sets of lncRNAs expressed. We further demonstrate that the unique and shared lncRNAs are differentially expressed between CL and WT parasites, and that these lncRNAs are more evenly up-regulated and down-regulated than protein-coding genes. We validated the expression of these lncRNAs using qPCR. Taken together, this study demonstrates that lncRNAs are differentially expressed between cell lines and wildtype T. brucei and provides evidence for potential evolution of lncRNAs, specifically in T. brucei maintained in culture.
Wireless Sensor Layout Planning Model for Forest Fire Monitoring

The authors established a sensor programming model based on the genetic algorithms with the characteristics of a wireless sensor taken into account for forest fire monitoring.During the planning,forest terrain,the sensor signal range,the signal penetration and other factors were considered,and algorithm was terminated according to the limiting number of sensors and coverage requirements.Its convergence speed and the number of iterations are controllable.This model can be used for planning the layout of forest fire monitoring sensors that are used in forest with undulating terrain,with as little sensors meet the requirements of coverage.
Evaluation of a semi-supervised self-adjustment fine-tuning procedure for hearing aids

Abstract Objective This study investigated the effects of different adjustment criteria and sound scenes on self-adjusted hearing-aid gain settings. Self-adjusted settings were evaluated for speech recognition in noise, perceived listening effort, and preference. Design This study evaluated a semi-supervised self-adjustment fine-tuning procedure that presents realistic everyday sound scenes in a laboratory environment, using a two-dimensional user interface, and enabling simultaneous changes in amplitude and spectral slope. While exploring the two-dimensional space of parameter settings, the hearing-aid users were instructed to optimise either listening comfort or speech understanding. Study sample Twenty experienced hearing aid users (median age 69.5 years) were invited to participate in this study. Results Adjustment criterion and sound scenes had a significant effect on preferred gain settings. No differences in signal-to-noise ratios required for 50% speech intelligibility or in the perceived listening effort were observed between the adjusted settings of the two adjustment criteria. There was a preference for the self-adjusted settings over the prescriptive first fit. Conclusions Listeners could reliably select their preferred gains to the two adjustment criteria and for different speech stimuli.
Native proline-rich motifs exploit sequence context to target actin-remodeling Ena/VASP protein ENAH

The human proteome is replete with short linear motifs (SLiMs) of four to six residues that are critical for protein-protein interactions, yet the importance of the sequence surrounding such motifs is underexplored. We devised a proteomic screen to examine the influence of SLiM sequence context on protein-protein interactions. Focusing on the EVH1 domain of human ENAH, an actin regulator that is highly expressed in invasive cancers, we screened 36-residue proteome-derived peptides and discovered new interaction partners of ENAH and diverse mechanisms by which context influences binding. A pocket on the ENAH EVH1 domain that has diverged from other Ena/VASP paralogs recognizes extended SLiMs and favors motif-flanking proline residues. Many high-affinity ENAH binders that contain two proline-rich SLiMs use a noncanonical site on the EVH1 domain for binding and display a thermodynamic signature consistent with the two-motif chain engaging a single domain. We also found that photoreceptor cilium actin regulator (PCARE) uses an extended 23-residue region to obtain a higher affinity than any known ENAH EVH1-binding motif. Our screen provides a way to uncover the effects of proteomic context on motif-mediated binding, revealing diverse mechanisms of control over EVH1 interactions and establishing that SLiMs can’t be fully understood outside of their native context.
Second‐order asymmetric convolution network for breast cancer histopathology image classification

Recently, convolutional neural networks (CNNs) have been widely utilized for breast cancer histopathology image classification. Besides, research works have also convinced that deep high‐order statistic models obviously outperform corresponding first‐order counterparts in vision tasks. Inspired by this, we attempt to explore global deep high‐order statistics to distinguish breast cancer histopathology images. To further boost the classification performance, we also integrate asymmetric convolution into the second‐order network and propose a novel second‐order asymmetric convolution network (SoACNet). SoACNet adopts a series of asymmetric convolution blocks to replace each stand square‐kernel convolutional layer of the backbone architecture, followed by a global covariance pooling to compute second‐order statistics of deep features, leading to a more robust representation of histopathology images. Extensive experiments on the public BreakHis dataset demonstrate the effectiveness of SoACNet for breast cancer histopathology image classification, which achieves competitive performance with the state‐of‐the‐arts.
Association of the ATN Research Framework With Clinical Profile, Cognitive Decline, and Mortality in Patients With Dementia With Lewy Bodies

Background and Objectives The ATN framework has been developed to categorize biological processes within the Alzheimer disease (AD) continuum. Because AD pathology often coincides with dementia with Lewy bodies (DLB), we aimed to investigate the distribution of ATN profiles in DLB and associate ATN profiles in DLB with prognosis. Methods We included 202 patients with DLB from the Amsterdam Dementia Cohort (68±7 years; 19% female; Mini-Mental State Examination 24 ± 3; abnormal DAT-SPECT 105/119). Patients were classified into 8 profiles according to the ATN framework, using CSF β-amyloid (Aβ)42 (A), CSF p-tau (T), and medial temporal atrophy scores (N). We compared presence of clinical symptoms in ATN profiles and used linear mixed models to analyze decline on cognitive tests (follow-up 3±2 years for n = 139). Mortality risk was assessed using Cox proportional hazards analysis. Analyses were performed on the 8 profiles as well as 3 clustered categories (normal AD biomarkers, non-AD pathologic change, and AD continuum). Results Fifty (25%) patients with DLB had normal AD biomarkers (A–T–N–), 37 (18%) had non-AD pathologic change (A−T+N− 10%, A−T−N+ 6%, A−T+N+ 3%), and 115 (57%) were classified within the AD continuum (A+T−N− 20%, A+T+N− 16%, A+T−N+ 10%, A+T+N+ 9%). A+T+N+ patients were older and least often had REM sleep behavior disorder symptoms. Parkinsonism was more often present in A+T− compared to A−T+ patients (independent of N). Compared to patients with normal AD biomarkers, patients in A+ categories showed steeper decline on memory tests and higher mortality risk. Cognitive decline and mortality did not differ between non-AD pathologic change and normal AD biomarkers. Discussion In our DLB cohort, we found clinically relevant associations between ATN categories and disease manifestation. Patients within the AD continuum had steeper cognitive decline and shorter survival. Implementing the ATN framework within patients with DLB aids in subtyping patients based on underlying biological processes and could provide targets for future treatment strategies (for example, AD-modifying treatment). Expanding the framework by incorporating markers for α-synucleinopathy would improve the use of the framework to characterize patients with dementia with mixed pathology, which could enhance proper stratification of patients for therapeutic trials.
Neuropsychology consultation to identify learning disorders in children and adolescents: a proposal based on lessons learned during the COVID-19 pandemic

ABSTRACT Learning disorders are common neurodevelopmental conditions, occurring both idiopathically and in the context of other medical conditions. They are frequently comorbid with other neurodevelopmental and psychiatric conditions. Delayed identification and treatment have been associated with significant negative psychosocial consequences. The need for pediatric neuropsychologists to efficiently screen for learning disorders is likely to increase in the months and years following the COVID-19 pandemic, which has severely disrupted access to educational services, especially for children who also face racial and economic disparities. In this paper, we describe a consultation model that can be used to screen for learning disorders and can be completed using both in-person and telemedicine visits. Implementation may result in earlier intervention for struggling children, increase access to neuropsychological services without increasing wait times for comprehensive evaluations, and provide opportunities for collaborations with other health professionals (e.g., pediatricians, therapists, psychiatrists, and neurologists).
Clinical considerations when conducting diagnostic evaluations to identify autism spectrum disorder in young children

Abstract Objective This paper provides clinical guidance supported by the literature on conducting diagnostic evaluations for young children suspected of having autism spectrum disorder (ASD). Method Authors provided a summary of clinical recommendations and evidence-based strategies for providing diagnostic evaluations for young children suspected of having ASD that are supported by the existing literature. Results ASD is a complex condition that typically presents in the first couple years of a child’s life. While many children can be accurately diagnosed by age 2, the majority of children are diagnosed much later. This article provides recommendations for evidence-based clinical practices to support accurate early identification and diagnosis in young children with autism. Recommended practices and measures for screening, comprehensive diagnostic evaluation, and differential diagnosis of ASD in early childhood are discussed. Conclusions Early identification of ASD is important to promote improved outcomes related to early intervention. There are a variety of tools and practices available to support neuropsychologists in providing accurate early diagnosis and appropriate developmental monitoring for children suspected of ASD and related neurodevelopmental conditions. There is a need for continued efforts regarding awareness of ASD in early childhood and targeted training in ASD for neuropsychologists and other disciplines who support families of young children with disabilities.
Monolithic zirconia single tooth implant‐supported restorations with CAD/CAM titanium abutments in the posterior region: A 1‐year prospective case series study

Abstract Purpose To assess the clinical, radiographic, and patient‐reported outcome measures, including the success of screw‐retained monolithic zirconia implant‐supported restorations with CAD/CAM titanium abutments in the posterior region during a 1‐year follow‐up. Methods In a prospective case series, 50 molar sites in the posterior region of 46 patients with a minimum age of 18 years and sufficient bone volume and anatomical conditions for placing an implant (≥8 mm) and an anatomical restoration were included. Parallel‐walled implants with a conical connection were inserted in a two‐stage surgical procedure. Implant uncovering and healing abutment placement occurred 12 weeks after insertion. Two weeks after mucosa healing, a screw‐retained monolithic zirconia restoration with a CAD/CAM titanium abutment was placed. Clinical, radiographic, and patient‐reported outcome measures were collected at baseline before implant placement and then during the 1 month and 1 year follow‐ups. Results At the 1 year follow‐up, 49 restorations could be evaluated. The plaque accumulation, presence of calculus, bleeding tendency and peri‐implant inflammation indices were low, representing healthy peri‐implant conditions. The mean marginal bone level change between the 1 month and the 1 year follow‐up was −0.17 ± 0.46 mm. The mean patient satisfaction was high. The restoration success was, according to the modified USPHS criteria, 95.9%. Conclusion Monolithic zirconia implant‐supported restorations with CAD/CAM titanium abutments have very good clinical, radiographic and patient‐reported outcomes after 1 year in function.
Thiol-based chemical probes exhibit antiviral activity against SARS-CoV-2 via allosteric disulfide disruption in the spike glycoprotein

Significance Some coronaviruses utilize angiotensin-converting enzyme 2 (ACE2) for entry into host cells. Although reducing agents, such as N-acetylcysteine, disrupt viral binding to ACE2 in general, these compounds are cytotoxic, have low potency, and because of their membrane permeability, have undefined mechanism of action. With qualitative chemoproteomic mapping to delineate cysteine thiol/disulfide reactivity in native spike and recombinant receptor binding domain (RBD), we report nontoxic, cell-impermeable thiol-based chemical probes that significantly decrease the ACE2 binding and infectivity of SARS-CoV-2. We map the reactive cysteines and show the dynamic consequences of breaking allosteric disulfide bonds in the RBD. Altogether, our work underscores a clear redox-based mechanism of antiviral activity in which reducing compounds disrupt key RBD disulfides specifically in extracellular spaces. The development of small-molecules targeting different components of SARS-CoV-2 is a key strategy to complement antibody-based treatments and vaccination campaigns in managing the COVID-19 pandemic. Here, we show that two thiol-based chemical probes that act as reducing agents, P2119 and P2165, inhibit infection by human coronaviruses, including SARS-CoV-2, and decrease the binding of spike glycoprotein to its receptor, the angiotensin-converting enzyme 2 (ACE2). Proteomics and reactive cysteine profiling link the antiviral activity to the reduction of key disulfides, specifically by disruption of the Cys379–Cys432 and Cys391–Cys525 pairs distal to the receptor binding motif in the receptor binding domain (RBD) of the spike glycoprotein. Computational analyses provide insight into conformation changes that occur when these disulfides break or form, consistent with an allosteric role, and indicate that P2119/P2165 target a conserved hydrophobic binding pocket in the RBD with the benzyl thiol-reducing moiety pointed directly toward Cys432. These collective findings establish the vulnerability of human coronaviruses to thiol-based chemical probes and lay the groundwork for developing compounds of this class, as a strategy to inhibit the SARS-CoV-2 infection by shifting the spike glycoprotein redox scaffold.