Miracle-dz/UniFAR-FTUs huggingface dataset:
Single-cell RNA sequencing to decipher the immunogenicity of ChAdOx1 nCoV-19/AZD1222 and mRNA-1273 vaccines in patients with autoimmune rheumatic diseases

Objectives To investigate the differences between the vector vaccine ChAdOx1 nCoV-19/AZD1222 (Oxford-AstraZeneca) and mRNA-based vaccine mRNA-1273 (Moderna) in patients with autoimmune rheumatic diseases (AIRD), and to explore the cell-cell interactions between high and low anti-SARS-CoV-2 IgG levels in patients with rheumatic arthritis (RA) using single-cell RNA sequencing (scRNA-seq). Methods From September 16 to December 10, 2021, we consecutively enrolled 445 participants (389 patients with AIRD and 56 healthy controls), of whom 236 were immunized with AZD1222 and 209 with mRNA-1273. The serum IgG antibodies to the SARS-CoV-2 receptor-binding domain was quantified by electrochemiluminescence immunoassay at 4-6 weeks after vaccination. Moreover, peripheral blood mononuclear cells (PBMCs) were isolated from RA patients at 4-6 weeks after vaccination for scRNA-seq and further analyzed by CellChat. ScRNA-seq of PBMCs samples from GSE201534 in the Gene Expression Omnibus (GEO) database were also extracted for analysis. Results The anti-SARS-CoV-2 IgG seropositivity rate was 85.34% for AIRD patients and 98.20% for healthy controls. The anti-SARS-CoV-2 IgG level was higher in patients receiving mRNA-1273 than those receiving AZD1222 (β: 35.25, 95% CI: 14.81-55.68, p=0.001). Prednisolone-equivalent dose >5 mg/day and methotrexate use in AIRD patients, and non-anti-tumor necrosis factor-α biologics and Janus kinase inhibitor use in RA patients were associated with inferior immunogenicity. ScRNA-seq revealed CD16-monocytes were predominant in RA patients with high anti-SARS-CoV2-IgG antibodies, and enriched pathways related to antigen presentation via MHC class II were found. HLA-DRA and CD4 interaction was enhanced in high anti-SARS-CoV2-IgG group. Conclusions mRNA-1273 and AZD1222 vaccines exhibited differential immunogenicity in AIRD patients. Enriched pathways related to antigen presentation via MHC class II in CD16-monocytes might be associated with higher anti-SARS-CoV2-IgG level in RA patients and further study is warranted.
Managing vulnerabilities in practitioner decision-making within sport psychology services: Responding to the evidence base

Abstract This position paper examines decision-making in sport psychology practitioners from a dual processing perspective. Based on the work of Kahneman and Tversky, we draw upon cognitive and social psychology research to explore key decision-making vulnerabilities in the context of the sport psychology practitioner. We examine the influence of classic heuristics and biases, exploring issues such as: an exclusive focus on the inside view; tunnel vision; focusing on disposition as opposed to situation; the sport environment as a complex adaptive system; formulas for success; phase transitions; and conflating skill and luck. When considering how to combat such decision-making vulnerabilities, we explore a ‘counterintuitive’ approach developed by Mauboussin to mitigating these, and explain how sport psychology practitioners can apply such strategies. We suggest counterweight strategies, including: raising awareness of how biases and heuristics may be affecting our decision-making; diversifying our perspectives; proactively seeking critical feedback from diverse sources; creating useful checklists; and performing ‘pre-mortems’. Likewise, we explore strategies for future research on decision-making in sport psychology practitioners. Lay summary: This position paper draws on research from social, cognitive and sport psychology to explore key decision-making vulnerabilities in the context of the sport psychology practitioner. We provide evidence-based suggestions to mitigate these vulnerabilities, and strategies for how practitioners can apply these ideas in their practice. Implications for Practice A dual-processing approach has considerable potential for highlighting, and mitigating against, key decision-making vulnerabilities in sport psychology practitioners The systematic use of evidence-based strategies could greatly enhance decision-making quality in practitioners.
Effect of P fertilization and Spraying by Micronutrients on Productivity of Intercropped Maize and Soybean and Competitive Relationships under Different Farming Systems

: A field trial was performed at the farm Sakha ARS, ARC, Egypt, throughout the 2020 and 2021 seasons to study the influence of P fertilization levels (15.5 and 23.25 kg P 2 O 5 /fed) in addition spraying by micronutrients (without, spraying with 400 g Zn/200 Liter water/fed, 400 g Mn /200 Liter water/fed and 400 g Zn + 400 g Mn /200 Liter water/fed) on the productivity of intercropped maize and soybean under different farm systems (expressed as plowing treatments, i.e. , using chisel plow once, tiller plow once and chisel plow once beside tiller plow once) as well as competitive relationships and economic evaluation. Using chisel plow once beside tiller plow once significantly increased earliness characters, growth characters and yield and yield attributes of maize as well as soybean traitsand resulted in the superior values of all these characters in each one season. Increasing phosphorus fertilizer levels to 23.25 kg P 2 O 5 /fed produced the superior values of earliness characters, growth characters and yield and yield attributes of maize as well as soybean characters in each season. Foliar spraying intercropped maize and soybean twice with the combination of Zn and Mn at 400 g Zn + 400 g Mn /200 Liter water/fed produced the superior values of earliness characters, growth characters and yield and yield attributes of maize as well as soybean characters in each season. It can be concluded that the maximum land equivalent ratio (LER), total income and net return were obtained from intercropping maize and soybean with 50 % of its pure stand and using chisel plow once beside tiller plow once and fertilizing with 23.25 kg P 2 O 5 /fed in Addition to foliar spraying intercropped maize and soybean twice after 30 and 60 DFS with the combination of Zn and Mn at 400 g Zn + 400 g Mn /200 Liter water /fedunder the environmental conditions of Kafr El-Sheikh Governorate, Egypt.
Ecological Dynamics of the Toxic Bloom-Forming Cyanobacterium Microcystis aeruginosa with Its Cyanophage in Surface Freshwater of the River Nile

The present investigation aims to study the dynamics of the harmful bloom-forming cyanobacterium Microcystis aeruginosa with its Cyanophage Ma-LMM01 in the River Nile ecosystem. Two freshwater samples in the Damietta branch of the River Nile represented the inlet and the outlet of a drinking water treatment plant were assessed according to a number of physicochemical and biological parameters. The total dissolved hepatotoxin microcystins in the raw and potable water were tested using the ELISA technique. Quantitative analysis of the 16S rRNA, mcyA , and g91 genes was done in order to estimate microcystin-producing organisms and the Ma-LMM01 cyanophage. The results showed a high growth reached bloom-forming of Microcystis aeruginosa in the raw water while the treated one showed a vanishing in the number of Microcystis aeruginosa. A high concentration of microcystins was detected during the study period with the highest concentration of 4.4 µg. L -1 was recorded in the raw water sample during July. The sequencing result of the amplification products of the g91 gene proves the presence of cyanophages but generally in a lysogenic state. The results obtained from this study revealed the presence of cyanophage Ma-LMM01 concomitantly with the presence of Microcystis aeruginosa bloom without having a high lytic effect.
Customized Radiofrequency Phased-Array Coil Combining Transmit-Only, Receive-Only, and Transmit/Receive Coils for Magnetic Resonance Imaging of Visual Cortex at 7 Tesla

Magnetic resonance imaging (MRI) using an ultra-high magnetic field (7 Tesla) enables detailed and non-invasive studies of the function and anatomy of the human visual cortex, which is the brain region responsible for visual signal processing. However, 7T human MRI often suffers from image shading in the occipital region due to the radiofrequency (RF) wave propagation effect. Dedicated visual cortex coils, on the other hand, often lack the capability to visualize the whole brain which is necessary for image registration. We propose a novel RF coil structure in which a 2-channel transmit and receive (TRx) coil is grafted onto the frontal part of a multi-channel transmit-only/receive-only (TORO, 4Tx/14Rx) visual cortex coil. This coil was tested for high-resolution functional MRI with an in-plane resolution of 0.5 mm. The results showed that the proposed coil achieved a higher ( $\times 2.5$ ) temporal signal-to-noise ratio (tSNR) in functional imaging of the visual cortex area than that of a commercial 7T whole-head coil. The added 2-channel TRx elements allowed whole-brain edge images to be acquired, enabling successful brain segmentation and atlas registration without the need for a second scan using a whole-head coil. The proposed coil structure can be useful for high-resolution visual functional MRI at very high magnetic fields due to its sensitivity, open geometry, and compatibility with the standard image processing workflow.
Amino Acids as Activators for Wave Solder Flux Systems: Investigation of Solderability and Humidity Effects

The role of flux activators in flux formulation is to remove oxides from metal surface and, hence, allow the formation of metallurgical bond between metal substrate and solder alloy. However, flux activator in the no-clean flux residue on printed circuit board assemblies (PCBAs) affects the climatic reliability due to its hygroscopic and ionic behavior under humidity exposure. Four amino acids-based wave flux was investigated using wetting balance test and microscopy inspection, and the humidity effects of four amino acids were analyzed using electrochemical impedance spectroscopy (EIS) and chronoamperometry under various testing conditions. Water absorption and thermal degradation were analyzed using gravimetric method and Fourier-transform infrared spectroscopy (FT-IR). Combined results indicate that glutamine-based model flux obtained superior solderability for 96.5Sn-3Ag-0.5Cu (SAC 305) alloy due to suitable melting and activation temperature of amino group for the oxides removal. The robust humidity reliability of amino acids was dependent upon relative high deliquescence point and low moisture absorption under harsh climatic conditions.
Digital device use and scientific literacy: an examination using Programme for International Student assessment (PISA) 2015 data

ABSTRACT This paper uses data from the OECD’s 2015 PISA and an endogenous treatment effects model to investigate the impact of different intensities of digital device use for academic purposes on science learning outcomes. When we do not differentiate the location of device use, we find that greater use can help students improve their science scores in most of the countries. When we consider school and outside-of-school use separately, we find the above positive results are driven by outside-of-school digital device use and that there are more negative results of increased device use at school.
Effects of Different Selenium Sources on the Laying Performance, Egg Quality, Antioxidant, and Immune Responses of Laying Hens under Normal and Cyclic High Temperatures

Simple Summary Heat stress is a major environmental stressor in livestock production, which seriously threatens the global livestock industry and causes huge economic losses. Strategies to address heat stress are mainly divided into three categories: genetic regulation, environmental regulation, and nutritional diet regulation. Among them, nutritional regulation is one of the current research hotspots. Selenium is an essential trace element for animals and humans. As a component of some anti-oxidant enzymes and selenoproteins, it plays an important role in improving anti-oxidation, anti-stress, immune function, and reproduction performance. This study investigated the effects of different selenium sources on the laying performance, egg quality, antioxidant, and immune responses of laying hens under different temperatures. The results showed that supplementation with different selenium sources can increase the egg yolk color, antioxidant capacity, and immune status, and can alleviate heat stress damage. Additionally, the effect of organic selenium is better than that of inorganic selenium. Abstract The aim of this study was to evaluate the effects of different selenium (Se) sources on the laying performance, egg quality, antioxidant, and immune responses of laying hens under different temperatures. In an 8-week experiment, a total of 480 44-week-old laying hens were randomly divided into 8 groups, with 6 replicates for each group and 10 hens per replicate, and fed with a basal diet (BK), basal diet with 0.3 mg/kg of Se from sodium selenite (SS), from Se yeast (SY), or from selenium-enriched yeast culture (SYC) under normal temperature (NT, 26 ± 2 °C) and cyclic high temperature (CHT, 26 ± 2 °C~33 ± 2 °C). CHT decreased the laying performance and serum levels of Se, immunoglobulin G (IgG), and interleukin-10 (IL-10), and significantly increased the serum free triiodothyronine (FT3), deiodinase-I (DI-I), and heat stress protein (HSPs) (p < 0.05). In addition, SYC increased the egg yolk color, and SS increased serum IgG level. SS, SY, and SYC reduced the level of interleukin-6 (IL-6) (p < 0.05). In conclusion, Se can increase egg yolk color, antioxidant capacity, and immune capacity under heat stress, and the effect of organic Se is better than that of inorganic Se.
Impact of Frontline Demonstration on Okra (Abelmoschus esculentus (L.) Moench) Yield Improvement

The major constraint for low productivity of okra in the Dahod District of Gujarat is non adoption of recommended package of practices and lack of awareness about the improved okra cultivation. To replace this old age technology Krishi Vigyan Kendra, AAU, Dahod conducted 30 front line demonstrations on high yielding variety (GAO-5) during kharif season 2013 and 2014. Cultivation practices comprised under FLDs viz. use of high yielding variety, maintained recommended plant to plant and row to row distances, recommended dose of organic and inorganic fertilizers and control of diseases and pest. An average yield of okra in FLDs ranged from 124.60 to 126.40 q/ha whereas in local practices 103.20 and 103.80 q/ha during 2013 and 2014, respectively. It was recorded that the percentage increase yield with high yielding variety over local variety was recorded in range of 20.74 to 21.77 %. Similarly, the extension gap ranged between 21.40 to 22.60 q/ha during the years 2013 and 2014, respectively
Obesity and Dyslipidemia Synergistically Exacerbate Psoriatic Skin Inflammation

Patients with psoriasis are frequently complicated with metabolic syndrome; however, it is not fully understood how obesity and dyslipidemia contribute to the pathogenesis of psoriasis. To investigate the mechanisms by which obesity and dyslipidemia exacerbate psoriasis using murine models and neonatal human epidermal keratinocytes (NHEKs), we used wild-type and Apoe-deficient dyslipidemic mice, and administered a high-fat diet for 10 weeks to induce obesity. Imiquimod was applied to the ear for 5 days to induce psoriatic dermatitis. To examine the innate immune responses of NHEKs, we cultured and stimulated NHEKs using IL-17A, TNF-α, palmitic acid, and leptin. We found that obesity and dyslipidemia synergistically aggravated psoriatic dermatitis associated with increased gene expression of pro-inflammatory cytokines and chemokines. Treatment of NHEKs with palmitic acid and leptin amplified pro-inflammatory responses in combination with TNF-α and IL-17A. Additionally, pretreatment with palmitic acid and leptin enhanced IL-17A-mediated c-Jun N-terminal kinase phosphorylation. These results revealed that obesity and dyslipidemia synergistically exacerbate psoriatic skin inflammation, and that metabolic-disorder-associated inflammatory factors, palmitic acid, and leptin augment the activation of epidermal keratinocytes. Our results emphasize that management of concomitant metabolic disorders is essential for preventing disease exacerbation in patients with psoriasis.
Probabilistic model-error assessment of deep learning proxies: an application to real-time inversion of borehole electromagnetic measurements

The advent of fast sensing technologies allow for real-time model updates in many applications where the model parameters are uncertain. Once the observations are collected, Bayesian algorithms offer a pathway for real-time inversion (a.k.a. model parameters/inputs update) because of the flexibility of the Bayesian framework against non-uniqueness and uncertainties. However, Bayesian algorithms rely on the repeated evaluation of the computational models and deep learning based proxies can be useful to address this computational bottleneck. In this paper, we study the effects of the approximate nature of the deep learned models and associated model errors during the inversion of borehole electromagnetic measurements, which are usually obtained from logging while drilling (LWD). We rely on the iterative ensemble smoothers as an effective algorithm for real-time inversion due to its parallel nature and relatively low computational cost. The real-time inversion of electromagnetic measurements is used to determine the subsurface geology and properties, which are critical for real-time adjustments of the well trajectory (geosteering). The use of deep neural network as a forward model allows us to perform thousands of model evaluations within seconds, which is very useful to quantify uncertainties and non-uniqueness in real-time. While significant efforts are usually made to ensure the accuracy of the deep learning models, it is widely known that the deep neural networks can contain some type of model-error in the regions not covered by the training data, which are unknown and training specific. When the deep learning models are utilized during inversion of electromagnetic measurements, the effects of the model-errors could manifest themselves as a bias in the estimated input parameters and as a consequence might result in a low-quality geosteering decision. We present numerical results highlighting the challenges associated with the inversion of electromagnetic measurements while neglecting model-error. We further demonstrate the utility of a recently proposed flexible iterative ensemble smoother in reducing the effect of model-bias by capturing the unknown model-errors, thus improving the quality of the estimated subsurface properties for geosteering operation. Moreover, we describe a procedure for identifying inversion multi-modality and propose possible solutions to alleviate it in real-time.
A Comparative Evaluation of Remineralization after an Erosive Challenge by Two Different Mouthwashes on Surface Roughness

Aims : The aims of this study were to evaluate the in vitro effect of a cocoa bean husk extract (CBHE) mouthwash in comparison with that of a fluoridated mouthwash on surface roughness of the enamel surface after subjecting the teeth to two types of energy drink challenge. Materials and Methods : Eighty (80) sound maxillary first premolar were collected and randomly divided into four groups, the teeth in the first and second groups were immersed in a tiger energy drink for 14 days and then one group in a CBHE and another in a fluoride mouth rinses for 7 days. While the remaining teeth in the third and fourth groups were immersed in a red bull energy drink for 14 days and then one group in a CBHE and another in a fluoride mouth rinses for 7 days. Enamel surface was assessed by a profilometer device at a baseline, after erosive challenge and after remineralization with the different treatment materials. Results : In all groups, there was a high statistically significant increase in surface roughness after erosive challenge. Meanwhile, there was a high statistically significant decrease in surface roughness in all groups after remineralization, with no significant differences between energy drinks or remineralization materials. Conclusion : Within the limits of the current study, cocoa bean husk extract and fluoride mouth rinses had an effective re-mineralizing
A 20‐Year Study of Melt Processes Over Larsen C Ice Shelf Using a High‐Resolution Regional Atmospheric Model: 1. Model Configuration and Validation

Following collapses of the neighboring Larsen A and B ice shelves, Larsen C has become a focus of increased attention. Determining how the prevailing meteorological conditions influence its surface melt regime is of paramount importance for understanding the dominant processes causing melt and ultimately for predicting its future. To this end, a new, high‐resolution (4 km grid spacing) Met Office Unified Model (MetUM) hindcast of atmospheric conditions and surface melt processes over the central Antarctic Peninsula is introduced. The hindcast is capable of simulating observed near‐surface meteorology and surface melt conditions over Larsen C. In contrast with previous model simulations, the MetUM captures the observed east‐west gradient in surface melting associated with foehn winds, as well as the interannual variability in melt shown in previous observational studies. As exemplars, we focus on two case studies—the months preceding the collapse of the Larsen B ice shelf in March 2002 and the high foehn, high melt period of March‐May 2016—to test the hindcast's ability to reproduce the atmospheric effects that contributed to considerable melting during those periods. The results suggest that the MetUM hindcast is a useful tool with which to explore the dominant causes of surface melting on Larsen C.
Effect of Postpartum Standardized Care Guidelines to Caesarean Section Women on Pain Relief and Satisfaction: Comparative Study

Background: Postpartum care standards have demonstrated to enhance clinical outcomes for women who have caesarean delivery, as decrease pain, complications, hospital stays and improve clinical practice. Women's satisfaction is a key indicator of how well guidelines are implemented. Aim: This study aimed at assess the effect of postpartum standardized care guidelines to caesarean section women on their pain relief and satisfaction. Subjects and method: Design: Quasi-experimental study design was used. Setting: The study was conducted at obstetric and gynecologic department, Alazher university hospital in Damietta governorate. Sample: A total of 125 women underwent cesarean section operation divided into two groups were recruited. Tools of data collection: Structured interviewing questionnaire, follow-up observation checklist and women's satisfaction Likert scale were used. Results : Statistically significant differences observed between study group and control group (p = 0.001), as the study group were more likely to start early oral fluid, initiate regular diet, less exposed to complications and more likely to mobilize less than 6 hours (100.0%). Mean scores of pain in first 24 hours were lower in the study group (2.46±1.58) than in the control group (3.50±1.76). In addition, women in the study group were more satisfied with all aspects of postpartum guidelines (64.35±13.67) than women in the control group (63.34±12.67). Conclusion: Implementation of postoperative guidelines among caesarean delivery women was found to be beneficial in relief postoperative pain, complications and increase women’s satisfaction. Recommendations: Postpartum standard care guidelines should be incorporated into the postoperative management protocol at all government hospitals. Caesarean Postpartum guidelines, Pain relief, Satisfaction. assess the effect of standardized on their