Miracle-dz/UniFAR-FTUs huggingface dataset:
Web-Based Self-Help Psychosocial Intervention for Adolescents Distressed by Appearance-Altering Conditions and Injuries Persons’ Face Feasibility Study for a Parallel Randomized Controlled Trial.

Background: Disfigurement (visible difference) from wide-ranging congenital or acquired conditions, injuries, or treatments can negatively impact adolescents’ psychological well-being, education and health behaviours. Alongside medical interventions, appearance-specific cognitive behavioural and social skills training to manage stigma and appearance anxiety may improve psychosocial outcomes. YP Face IT (YPF), is a Web-based seven session self-help program plus booster quiz, utilising cognitive behavioural and social skills training for young people (YP) struggling with a visible difference. Co-designed by adolescents and psychologists, it includes interactive multimedia and automated reminders to complete sessions/homework. Adolescents access YPF via a health professional who determines its suitability and remotely monitors clients’ usage. Objective: To establish the feasibility of evaluating YPF for 12-17 year olds self-reporting appearance-related distress and/or conditions were randomised (26% male, 91% white, mean age 14 years (SD 1.7)); 23 to YPF, 24 to UC). At 52 weeks, 16 (70%) in the intervention and 20 (83%) in UC groups completed assessments. There were no intervention-related adverse events; most found YPF acceptable with three withdrawing because they judged it was for higher-level concerns; 12 (52%) completed seven sessions. The study design was acceptable and feasible, with multiple recruitment strategies. Preliminary findings indicate no changes from baseline in outcome measures among the UC group and positive changes in appearance satisfaction and fear of negative evaluation among the YPF group when factoring in baseline scores and intervention adherence. Conclusions: YPF is novel, safe and potentially helpful. Its full psychosocial benefits should be evaluated in a large-scale RCT, which would be feasible with wide-ranging recruitment strategies.
Type I Interferon Contributes to CD4 (cid:1) T Cell Depletion Induced by Infection with HIV-1 in the Human Thymus (cid:1)

Persistent induction of type 1 interferon (IFN) is associated with human immunodeﬁciency virus type 1 (HIV-1) infection. We report here that the pathogenic HIV strain R3A (HIV-R3A) induced high levels of type 1 IFN, while the nonpathogenic HIV-R3B showed no signiﬁcant induction in human fetal thymus organ culture (HFTOC). We found that IFN contributed to the depletion of human T cells by HIV-R3A in a fusion-independent fashion. The R3B recombinant with the R3A Env V1V2 domain (R3B/A-V1V2) was able to induce type 1 IFN, which contributed to the increased depletion of T cells. Therefore, type 1 IFN induction plays a signiﬁcant role in HIV-induced T cell depletion in the human thymus.
Anti-staphylococcal activity of Scutellaria albida subsp. albida against methicillin-resistant Staphylococcus aureus

The antibacterial activity of ethanol extracts of Scutellaria albida L. subsp. albida L. (Lamiaceae) was investigated against methicillin-resistant Staphylococcus aureus (MRSA). The antibacterial activity was evaluated by agar-well diffusion and microdilution method. The ethanol extract showed antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA) strains (MIC < 1024 µg/mL). When compared with methicillin and gentamicin, the ethanol extract was more effective against MRSA, being a promising anti-staphylococcal agent.
Analysis and Review of Extraordinary Machine Learning Approaches

Machine learning is utilized in the medicinal imaging field, including PC supported finding, picture division, picture enrollment, picture combination, picture guided treatment, picture explanation, furthermore, picture database recovery. Deep learning techniques are arrangements of calculations in machine learning, which endeavor to consequently take in numerous levels of portrayal and deliberation that assistance, comprehend information. This thusly prompts the need of comprehension and looking at the attributes of profound learning approaches, with the end goal to have the capacity to prosecute and process the strategies in legitimate manner. The aim of this article is to assess deep learning (DL) strategies for therapeutic area also to comprehend if DL techniques (random recursive support vector machines (R 2 SVM), stacked sparse auto-encoders (SSAE), stacked denoising auto-encoders (SDAE), K -means deep learning calculation) beat other best in class approaches (K-closest neighbor, support vector machines, greatly randomized trees) on two arrangement under-takings, where different strategies are assessed for a transcribed digit (MNIST). Results demonstrate that the SSAE, SDAE what's more, the SVM accomplish the most noteworthy exactness among all assessed methodologies on both datasets.
Tansley insight Towards a holistic understanding of the beneﬁcial interactions across the Populus microbiome

Interactions between trees andmicroorganisms are tremendously complex and themultispecies networks resulting from these associations have consequences for plant growth and productivity. However, a more holistic view is needed to better understand trees as ecosystems and superorganisms,wheremany interacting species contribute to the overall stability of the system. While much progress has been made on microbial communities associated with individual tree niches and the molecular interactions between model symbiotic partners, there is still a lack of knowledge of the multi-component interactions necessary for holistic ecosystem-level understanding. We review recent studies in Populus to emphasize the importance of such holistic efforts across the leaf, stem and rooting zones, and discuss prospects for future research in these important ecosystems.
Fc (cid:2) RIIb Balances Efﬁcient Pathogen Clearance and the Cytokine-mediated Consequences of Sepsis

The immune response to infection must be controlled to ensure it is optimal for defense while avoiding the consequences of excessive inflammation, which include fatal septic shock. Mice deficient in Fc (cid:2) RIIb, an inhibitory immunoglobulin G Fc receptor, have enhanced immune responses. Therefore, we examined whether Fc (cid:2) RIIb controls the response to Streptococcus pneumoniae . Macrophages from Fc (cid:2) RIIb-deficient mice showed increased antibody-dependent phagocytosis of pneumococci in vitro, and consistent with this infected Fc (cid:2) RIIb-deficient mice demonstrated increased bacterial clearance and survival. In contrast, previously immunized Fc (cid:2) RIIb-deficient mice challenged with large inocula showed reduced survival. This correlated with increased production of the sepsis-associated cytokines tumor necrosis factor (cid:3) and interleukin 6. We propose that Fc (cid:2) RIIb controls the balance between efficient pathogen clearance and the cytokine-mediated consequences of sepsis, with potential therapeutic implications.
Protective Role of Beta Interferon in Host Defense against Inﬂuenza A Virus (cid:1)

Type I interferon (IFN), which includes the IFN- (cid:1) and - (cid:2) subtypes, plays an essential role in host defense against inﬂuenza A virus. However, the relative contribution of IFN- (cid:2) remains unresolved. In mice, type I IFN is effective against inﬂuenza viruses only if the IFN-induced resistance factor Mx1 is present, though most inbred mouse strains, including the recently developed IFN- (cid:2) -deﬁcient mice, bear only defective Mx1 alleles. We therefore generated IFN- (cid:2) -deﬁcient mice carrying functional Mx1 alleles (designated Mx-BKO) and compared them to either wild-type mice bearing functional copies of both IFN- (cid:2) and Mx1 (designated Mx-wt) or mice carrying functional Mx1 alleles but lacking functional type I IFN receptors (designated Mx-IFNAR). Inﬂuenza A virus strain SC35M (H7N7) grew to high titers and readily formed plaques in monolayers of Mx-BKO and Mx-IFNAR embryo ﬁbroblasts which showed no spontaneous expression of Mx1 . In contrast, Mx-wt embryo ﬁbroblasts were found to constitutively express Mx1 , most likely explaining why SC35M did not grow to high titers and formed no visible plaques in such cells. In vivo challenge experiments in which SC35M was applied via the intranasal route showed that the 50% lethal dose was about 20-fold lower in Mx-BKO mice than in Mx-wt mice and that virus titers in the lungs were increased in Mx-BKO mice. The resistance of Mx-BKO mice to inﬂuenza A virus strain PR/8/34 (H1N1) was also substantially reduced, demonstrating that IFN- (cid:2) plays an important role in the defense against inﬂuenza A virus that cannot be compensated for by IFN- (cid:1) . Mx1 strain A2G was C57BL/6 mice backcrossing 20 strain B6.A2G- Mx1 this strain designated Mx-wt. IFN- (cid:3) 0/0 mice (7) were backcrossed for 12 genera- tions onto a C57BL/6 background. The resulting animals were subsequently crossed with B6 (cid:1) A2G- Mx1 mice, and Mx1 defective IFN- (cid:3) alleles were this strain is designated Mx-BKO. IFNAR1 0/0 were backcrossed for 10 generations onto a C57BL/6 before breeding with B6 A2G- Mx1 mice. with intact Mx1 and defective IFNAR1 alleles were selected. this strain designated Mx-IFNAR. Six- to 8-week-old animals were used for the challenge experiments, which were performed the guidelines Animals were euthanized if severe symptoms Fifty percent lethal doses (LD were
The problem of camouﬂaging via mirror reﬂections

This work is related to billiards and their applications in geometric optics. It is known that perfectly invisible bodies with mirror surface do not exist. It is therefore natural to search for bodies that are, in a sense, close to invisible. We introduce a visibility index of a body measuring the mean angle of deviation of incident light rays, and derive a lower estimate for this index. This estimate is a function of the body’s volume and of the minimal radius of a ball containing the body. This result is far from being ﬁnal and opens a possibility for further research.
Identi¢cation of salivary components that induce transition of hyphae to yeast in Candidaalbicans

Candida albicans , the major human fungal pathogen, undergoes a reversible morphological transition from single yeast cells to pseudohyphae and hyphae ﬁlaments. The hyphae form is considered the most invasive form of the fungus. The purpose of this study is to investigate the effect of saliva on hyphae growth of C. albicans . Candida albicans hyphae were inoculated in Roswell Park Memorial Institute medium with whole saliva, parotid saliva or buffer mimicking the saliva ion composition, and cultured for 18 h at 37 1 C under aerobic conditions with 5% CO 2 . Whole saliva and parotid saliva induced transition to yeast growth, whereas the culture with buffer remained in the hyphae form. Parotid saliva was fractionated on a reverse-phase C8 column and each fraction was tested for inducing transition to yeast growth. By immunoblotting, the salivary component in the active fraction was identiﬁed as statherin, a phosphoprotein of 43 amino acids that has been implicated in remineralization of the teeth. Synthetically made statherin induced transition of hyphae to yeast. By deletion of ﬁve amino acids at the negatively charged N-terminal site (DpSpSEE), yeast-inducing activity and binding to C. albicans were increased. In conclusion, statherin induces transition to yeast of C. albicans hyphae and may thus contribute to the oral defense against candidiasis.
Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Do merger-related operating synergies exist? Do merger-related operating synergies exist?

Executives frequently forecast large operating e¢ ciency gains from mergers. Using these projections, we study the impact of operating synergies on merger performance. Investors(cid:146)reaction to mergers varies directly with the availability of these forecasts and the gains they imply, and post-merger operating performance increases with the predictable component of forecasted synergies based on deal characteristics. The realized improvements, however, do not depend on the availability of forecasts or the surprise they convey, and post-merger stock returns reconcile discrepancies between investors(cid:146) ex ante beliefs and mergers(cid:146) ex post performance related to management forecasts. Overall, the evidence supports the neoclassical view that synergies(cid:146)expectations and realizations are important determinants of merger activity and performance. Abstract Executives frequently forecast large operating e¢ ciency gains from mergers. Using these projections, we study the impact of operating synergies on merger performance. Investors(cid:146)reaction to mergers varies directly with the availability of these forecasts and the gains they imply, and post-merger operating performance increases with the predictable component of forecasted synergies based on deal characteristics. The realized improvements, however, do not depend on the availability of forecasts or the surprise they convey, and post-merger stock returns reconcile discrepancies between investors(cid:146) ex ante beliefs and mergers(cid:146) ex post performance related to management forecasts. Overall, the evidence supports the neoclassical view that synergies(cid:146)expectations and realizations are important determinants of merger activity and performance.
The Effectiveness of the Program to Improve Undergraduate Qualifications through Dual Mode System for Islamic Elementary School Teachers in West Nusa Tenggara, East Nusa Tenggara and Bali, Indonesia

This study aims to identify the effectiveness of undergraduate qualification improvement program for Madrasah Ibtidaiyah (Islamic Elementary School-IES) teachers and Islamic Religious Education (Islamic Education: IE) Teachers through Dual Mode System (DMS) for West Nusa Tenggara, East Nusa Tenggara, and Bali at Mataram State Islamic University (UIN Mataram, Indonesia). The target determined in this study is seen from five components: (1) context, (2) input, (3) process, (4) product, and (5) outcome. This study used a qualitative research approach, with operational guidelines for the implementation of DMS program from Directorate of Islamic Higher Education (DIKTIS). This study categorized as an evaluation program by using a case study method that focused on the form of the program, the implementation of policies, or the concept of research. The research design model applied was CIPPO model from Stufflebeam and Gilbert Sax. Based on the evaluation of the context, DMS program at Mataram State Islamic University had a clear juridical foundation and showed the high needs of the community in supporting the implementation of the DMS undergraduate program (87%). Based on the evaluation of the input as a whole, it has run well and matched the input characteristics of the standard DMS program (91.61%). Meanwhile, the process evaluation revealed that the process components had met the characteristics of the standard DMS program process (60%). The results of the program evaluation on the product aspect also showed extraordinary achievements (100%).
On the estimation of covariance matrices using panel data artificial regressions

The use of artificial regressions to compute the variance of the difference of pairs of panel data estimators that cannot be ranked in terms of efficiency is considered. It is illustrated how it is possible to get (asymtotically) valid estimators of covariance matrices for differences between estimators when the assumption that the error term in the auxiliary model is IID is violated. We distinguish two possible deviations, one leading only to a non-spherical-within groups covariance matrix and the second leading to a non-spherical-between-groups covariance matrix also. It is shown to what extent the use of an artificial regression with panel data can lead to a robust estimator of the covariance matrix in the first case whereas it leads to a non valid estimator in the second. An alternative step by step procedure is presented. Keywords; artificial regression models, panel data, covariance matrices estimates, hypothesis testing
The evolution of active galactic nuclei across cosmic time: what is downsizing?

We use a coupled model of the formation and evolution of galaxies and black holes (BHs) to study the evolution of active galactic nuclei (AGNs) in a cold dark matter universe. The model is embedded in the galaxy formation code GALFORM and predicts the masses, spins and mass accretion histories of BHs in tandem with the formation of their host galaxies. BHs grow by accretion during starbursts, triggered by discs becoming dynamically unstable or by galaxy mergers, and accretion from quasi-hydrostatic hot gas haloes. Using an empirical law for AGN obscuration, our model matches the observed luminosity functions (LFs) of AGNs over a wide range of redshifts. Due to the suppression of cooling in massive haloes by AGN feedback, at low redshift ( z (cid:2) 2), the brightest quasars ( L bol (cid:3) 10 46 erg s − 1 ) are predicted preferentially to inhabit haloes with masses (cid:2) 10 12 –10 13 M (cid:3) . The model predicts a hierarchical buildup of BH mass, with the typical mass of actively growing BHs increasing with decreasing redshift. Nevertheless, the model displays clear ‘downsizing’ as reﬂected in the differential evolution of the space density of faint and bright AGNs. This arises naturally from the interplay between the starburst and hot gas halo accretion modes. The faint end of the LF is dominated by massive BHs accreting at low rates via a thick disc, primarily during the hot-halo mode. The bright end is populated by BHs accreting close to or above the Eddington limit during the starburst mode. Obscuration plays a central role in determining the observed abundance of AGNs and, hence, in their implied cosmic evolution.
Loss-Compensating Si Photonics Signal Routers

We propose and demonstrate a low-cost integrated photonic chip fabricated in a SOI foundry capable of simultaneously routing and amplifying light in a chip. This device is able to compensate insertion losses in photonic routers. It consists of standard Si/SiO2 ring resonators with Er:Al2O3 as the upper cladding layer, employed using only one simple post-processing step. This resulted in a measured on/off gain of 0.9 dB, with a footprint smaller than 0.002 mm2, and expected bit rates as high as 40Gb/s based on the resonance quality-factor. We show that the on/off gain value can be further increased using coupled rings to reach net gain values of 4 dB.
Active mirrors for future space telescopes

The demanding science goals of future astrophysics missions currently under study for the 2020 Decadal Survey impose significant technological requirements on their associated telescopes. These concepts currently call for apertures as large as 15 m (LUVOIR), and operational temperatures as low as 4 Kelvin (OST). Advanced mirror technologies, such as those implementing a high degree of actuation at the primary, can help to overcome the challenges associated with these missions by providing in-situ wavefront correction capabilities. Active mirrors can also greatly reduce the cost/complexity associated with mirror fabrication as well as system I and T as on-orbit performance specifications can be achieved under a variety of test conditions (i.e. room/cryogenic temperatures, 0g/1g). JPL has significant experience in this area for visible/near-infrared applications, however future mission requirements create a new set of challenges for this technology. This paper presents design, analysis, and test results for lightweight silicon-carbide mirrors with integrated actuation capabilities. In particular, studies have been performed to test the performance of these mirrors at cryogenic temperatures.
Edinburgh Explorer Rank Awareness in Joint Sparse Recovery

This paper revisits the sparse multiple measurement vector (MMV) problem, where the aim is to recover a set of jointly sparse multichannel vectors from incomplete measurements. This problem is an extension of single channel sparse recovery, which lies at the heart of compressed sensing. Inspired by the links to array signal processing, a new family of MMV algorithms is considered that highlight the role of rank in determining the difﬁculty of the MMV recovery problem. The simplest such method is a discrete version of MUSIC which is guaranteed to recover the sparse vectors in the full rank MMV setting, under mild conditions. This idea is extended to a rank aware pursuit algorithm that naturally reduces to Order Recursive Matching Pursuit (ORMP) in the single measurement case while also providing guaranteed recovery in the full rank setting. In contrast, popular MMV methods such as Simultaneous Orthogonal Matching Pursuit (SOMP) and mixed norm minimization techniques are shown to be rank blind in terms of worst case analysis. Numerical simulations demonstrate that the rank aware techniques are signiﬁcantly better than existing methods in dealing with multiple measurements.
ON σ -LIMIT AND sσ -LIMIT IN BANACH SPACES

For bounded sequences in a normed linear space X , we introduce a notion of limit, called the sσ -limit, and discuss some interesting properties related to σ -limit and sσ -limit. It is shown that the space X sσ (resp. X σ ) of all sσ -convergent (resp. σ -convergent) sequences in X is a Banach space, and the space C sσ is a unital Banach subalgebra of (cid:3) ∞ such that every Banach limit restricted to C sσ is a multiplicative linear functional. We also use sσ -limit to characterize continuity of functions and prove two versions of the dominated convergence theorem in terms of σ -limit and sσ -limit.
DEV116996 1..11

In mice, zygotic activation occurs for awide variety of genes, mainly at the 2-cell stage. Long noncoding RNAs (lncRNAs) are increasingly being recognized as modulators of gene expression. In this study, directional RNA-seq of MII oocytes and 2-cell embryos identified more than 1000 divergently transcribed lncRNA/mRNA gene pairs. Expression of these bidirectional promoter-associated noncoding RNAs (pancRNAs) was strongly associated with the upregulation of their cognate genes. Conversely, knockdown of three abundant pancRNAs led to reduced mRNA expression, accompanied by sustained DNA methylation even in the presence of enzymes responsible for DNA demethylation. In particular, microinjection of siRNA against the abundant pancRNA partner of interleukin 17d (Il17d) mRNA at the 1-cell stage caused embryonic lethality, which was rescued by supplying IL17D protein in vitro at the 4-cell stage. Thus, this novel class of lncRNAs can modulate the transcription machinery in cis to activate zygotic genes and is important for preimplantation development.
Sleep quality and insomnia during the COVID-19 lockdown among the Saudi public A cross-sectional study

2020. We used the instant messaging application WhatsApp and Twitter to reach the targeted population. Saudi citizens and non-Saudi residents who can read and understand the questionnaire were recruited. Data were analyzed using Stata and SPSS. Results: A total of 790 responses were included. The majority of participants were the Saudi population 735 )92.9%(. The prevalence of insomnia and poor sleep quality were 54.4% and 55.5%, respectively. Saudi citizenship was associated with longer sleep duration ) p =0.031(. Female gender and being married were associated with worse global PSQI, sleep quality, sleep distribution, sleep latency, and daytime dysfunction. Conclusion: Our findings showed that during the COVID-19 pandemic, the Saudi population had a high prevalence of insomnia and poor sleep quality. Routine monitoring of the psychological impact of life-threatening outbreaks and the adoption of effective early mental health actions should be considered.