Miracle-dz/UniFAR-FTUs huggingface dataset:
Cross-frequency coupling of frontal theta and posterior alpha is unrelated to the fidelity of visual long-term memory encoding

ABSTRACT Because visual long-term memory relies on multiple spatially distinct brain areas, encoding representations is likely to rely on networks formed via large-scale coupled neuronal oscillations. Decreases in occipital alpha power and increases in mid-frontal theta power appear to individually contribute to the encoding of visual long-term memories. Here we ask whether these oscillations form a coupled network. We show that neither amplitude-amplitude nor phase-amplitude coupling between frontal theta and posterior alpha are related to observers' subsequent memory. Correlations between alpha and theta power were stronger during eyes-open, resting-state periods than immediately following the presentation of a to-be-remembered picture. Finally, we found that the strength of theta-alpha coupling was not modified by temporal lobe anodal transcranial direct current stimulation, despite performance showing enhanced memory. These findings indicate that posterior alpha and frontal theta activity are not simply component parts of a larger scale coupled network underlying visual memory.
The decay of traditional education: A case study under covid-19

Abstract This study examined the effect of e-learning compared to traditional education on student achievement and satisfaction, and to find out if COVID-19 is the first step for creating a society without a school, an online survey was conducted. The study sample consisted of 125 Palestinian bachelor’s degree students from different universities in the Republic of China and the Arab Gulf states. The study took place during the first half of the pandemic’s academic year, from the end of February to the end of August. 2020. The findings revealed that there are no statistically significant differences between the E-learning and traditional learning concerning students’ achievement based demographic variables (university years and scientific specialization), and the student’s satisfaction variable from (teaching staff style, educational programs provided, and quality). The study indicated that e-learning has proven its feasibility during the pandemic, so it should not be excluded and underestimated. Some third world societies still prefer traditional education, but e-learning should be a permanent option that is not limited to times of crisis; Educational institutions should recognize e-learning as a fait accompli, as is the case in many developed countries. This study recommended the necessity of recognizing e-learning and enhancing this style of study by allocating specific budgets and specialized technical and educational cadres. It also recommended adopting a hybrid education pattern by integrating e-learning and F2F education.
Deployment Strategies for Large Intelligent Surfaces

Beyond 5G communication systems must be able to meet the requirements imposed by the ever-increasing demand in capacity, while guaranteeing robustness, reliability, low latency, security, as well as spectral and power efficiencies. Large intelligent surfaces (LIS) as an evolution of massive MIMO have drawn considerable attention among researchers, being already considered as one of the key technologies to be included in beyond 5G communication systems. Due to the massive number of antennas, it also brings several challenges namely in terms of computational complexity. In this paper, we intend to provide guidelines for the LIS practical implementation and configuration by specifying system parameters and their consequent relationship for a panel-based LIS. In particular, the interplay between the number of baseband outputs per square metre, the fraction of activated area, the panel size and terminal density is summarised by an empirical law under the assumption that all terminals experience reasonable quality of service. Furthermore, performance results show that, in general, moderate panel sizes offer the best rates, highlighting that there is no need to activate a large fraction of LIS to provide an acceptable minimum terminal rate. However, such fractions may require more baseband outputs per panel, leading to a higher number of baseband outputs per square metre, translating into higher implementation complexity. Finally, it is observed that the implicit rate loss of using sparse static panel deployments instead of contiguous panel deployments that are dynamically activated/deactivated is not so significant, omitting the complexity involved in managing the set of activated panels.
Real-Life Use of Tocilizumab in the Treatment of Severe COVID-19 Pneumonia

Introduction Coronavirus disease 2019 (COVID-19) can progress to severe respiratory compromise and lead to mortality due to induction of cytokine storm. Tocilizumab (TCZ) is approved by the FDA for the treatment of cytokine release syndrome (CRS). This study aims to analyze the outcomes among patients who received TCZ in the United Arab Emirates. Methods A retrospective cohort study was conducted among COVID-19 patients who received TCZ in a tertiary care hospital from May 2020 to August 2021. For analysis, patients were divided into two groups based on survival and clinical improvement. Results Overall, 80% of patients receiving TCZ were discharged by day 28. There was a gradual improvement in oxygen requirements in our patients with a majority of them on room air by day 28. Age more than 50 years (P=0.034) and comorbidities such as cardiovascular disease (CVD) (P=0.002) and renal insufficiency (P=0.013) were significantly associated with mortality. Discussion. In our analysis, patients who were mechanically ventilated at the time of administration of TCZ had a significantly higher risk of death by day 28. In both survived and improved groups, younger patients had better outcomes than older patients. Patients who received TCZ earlier during therapy from the onset of symptoms had better survival outcomes. There was only one death among 14 patients who received vaccination. There was no significant difference in mortality among patients with comorbidities such as diabetes, hypertension, dyslipidemia, obesity, and pulmonary diseases, hypothesizing that administration of TCZ improves the outcomes in COVID-19 patients with these comorbidities.
Gain-of-function TLR7 and loss-of-function A20 gene variants identify a novel pathway for Mendelian lupus and lupus nephritis

ABSTRACT Systemic lupus erythematosus (SLE) is a chronic and inflammatory autoimmune disease of unknown origin that may cause kidney disease, i.e. lupus nephritis (LN). Within a wider trend towards an expanding field of genetic causes of kidney disease, two recent reports have emphasized the role of Mendelian autoimmune disorders in causing LN both in children and in young adults. Loss-of-function (LOF) variants of tumor necrosis factor alpha–induced protein 3 (TNFAIP3) and gain of function (GOF) variants of Toll-like receptor 7 (TLR7) cause SLE and LN, respectively. Interestingly, both genes regulate the same signaling route, as A20, the protein encoded by TNFAIP3, inhibits nuclear factor ĸB (NF-ĸB) activation while TLR7 promoted NF-ĸB activation. Moreover, TNFAIP3 and TLR7 variants are relatively frequent, potentially contributing to polygenic risk for LN. Finally, they both may be expressed by kidney cells, potentially contributing to the severity of kidney injury in persons who have already developed autoimmunity. The fact that both genes regulate the same pathway may lead to novel therapeutic approaches targeting the shared molecular pathway.
Antimicrobial Resistance in New Zealand—A One Health Perspective

Antimicrobial resistance (AMR) is an increasing global threat that affects human, animal and, often less acknowledged, environmental health. This complex issue requires a multisectoral One Health approach to address the interconnectedness of humans, animals and the natural environment. The prevalence of AMR in these reservoirs varies widely among countries and thus often requires a country-specific approach. In New Zealand (NZ), AMR and antimicrobial usage in humans are relatively well-monitored and -understood, with high human use of antimicrobials and the frequency of resistant pathogens increasing in hospitals and the community. In contrast, on average, NZ is a low user of antimicrobials in animal husbandry systems with low rates of AMR in food-producing animals. AMR in New Zealand’s environment is little understood, and the role of the natural environment in AMR transmission is unclear. Here, we aimed to provide a summary of the current knowledge on AMR in NZ, addressing all three components of the One Health triad with a particular focus on environmental AMR. We aimed to identify knowledge gaps to help develop research strategies, especially towards mitigating AMR in the environment, the often-neglected part of the One Health triad.
Acute Pancreatitis in Pregnancy: A Ten-Year Noninterventional, Retrospective Cohort Experience

Background The study is aimed at evaluating the clinical attributes, types, and risk factors associated with poor outcomes in women with acute pancreatitis (AP) during pregnancy. Methods From 2011 to 2020, 45 antenatal mothers with AP were included in this noninterventional, retrospective study. The correlation between etiology of AP, its severity, biochemical parameters, length of stay, and treatment was analyzed. Based on the presence of organ failure and systemic complications, the severity of AP was classified according to the revised Atlantic criteria. Results In total, 19 (42.2%), 15 (33.3%), and 11 (24.2%) patients had mild AP (MAP), moderately severe AP (MSAP), and severe AP (SAP), respectively. The major cause of AP in these patients was hypertriglyceridemia (26.6%), while only 2 (4.44%) suffered from biliary pancreatitis. The median length of stay at hospital was significantly longer in patients with SAP (P = 0.034), and these patients had significantly higher triglycerides and total cholesterol levels when compared to MAP and MSAP. It was observed that levels of liver function enzymes such as alanine aminotransferase serum levels and aspartate aminotransferase serum levels were significantly higher in patients who stayed in hospital for >13 days. The presence of hypertriglyceridemia significantly increased the duration of stay (>13 days, P = 0.04) and induced SAP (P = 0.001). Majority of patients with SAP received blood purification than those with MAP and MSAP (P < 0.001). Conclusion Hypertriglyceridemia was associated with AP during pregnancy in our study. Early diagnosis of AP and assessment of its severity are very important for the general management of this disease.
Atmospheric Lengthscales for Global VSWIR Imaging Spectroscopy

Future global Visible Shortwave Infrared Imaging Spectrometers, such as the Surface Biology and Geology (SBG) mission, will regularly cover the Earth's entire terrestrial land area. These missions need high fidelity atmospheric correction to produce consistent maps of terrestrial and aquatic ecosystem traits. However, estimation of surface reflectance and atmospheric state is computationally challenging, and the terabyte data volumes of global missions will exceed available processing capacity. This article describes how missions can overcome this bottleneck using the spatial continuity of atmospheric fields. Contemporary imaging spectrometers oversample atmospheric spatial variability, so it is not necessary to invert every pixel. Spatially sparse solutions can train local linear emulators that provide fast, exact inversions in their vicinity. We find that estimating the atmosphere at 200 m scales can outperform traditional atmospheric correction, improving speed by one to two orders of magnitude with no measurable penalty to accuracy. We validate performance with an airborne field campaign, showing reflectance accuracies with RMSE of 1.1% or better compared to ground measurements of diverse targets. These errors are statistically consistent with retrieval uncertainty budgets. Local emulators can close the efficiency gap and make rigorous model inversion algorithms feasible for global missions such as SBG.
2-Hydroxyglutarate in Acute Myeloid Leukemia: A Journey from Pathogenesis to Therapies

The oncometabolite 2-hydroxyglutarate (2-HG) plays a key role in differentiation blockade and metabolic reprogramming of cancer cells. Approximatively 20–30% of acute myeloid leukemia (AML) cases carry mutations in the isocitrate dehydrogenase (IDH) enzymes, leading to a reduction in the Krebs cycle intermediate α-ketoglutarate (α-KG) to 2-HG. Relapse and chemoresistance of AML blasts following initial good response to standard therapy account for the very poor outcome of this pathology, which represents a great challenge for hematologists. The decrease of 2-HG levels through pharmacological inhibition of mutated IDH enzymes induces the differentiation of AML blasts and sensitizes leukemic cells to several anticancer drugs. In this review, we provide an overview of the main genetic mutations in AML, with a focus on IDH mutants and the role of 2-HG in AML pathogenesis. Moreover, we discuss the impact of high levels of 2-HG on the response of AML cells to antileukemic therapies and recent evidence for highly efficient combinations of mutant IDH inhibitors with other drugs for the management of relapsed/refractory (R/R) AML.
Polyphenols and IUGR Pregnancies: Effects of the Antioxidant Hydroxytyrosol on the Hippocampus Proteome in a Porcine Model

Supplementation of a mother’s diet with antioxidants such as hydroxytyrosol (HTX) has been proposed to ameliorate the adverse phenotypes of foetuses affected by intrauterine growth restriction (IUGR). Our previous studies showed, in a porcine model of IUGR, an effect of maternal HTX supplementation on the neurotransmitter profile of several brain areas and the morphology of the hippocampus in 100 days old foetuses. The present study analyzed the impact of maternal HTX supplementation on the hippocampus proteome at this foetal age by TMT10plex labelling. Eleven differentially abundant proteins were identified by comparing both conditions, and eight of them downregulated and three upregulated in the HTX-treated group. The downregulated proteins were mainly involved in protein synthesis and RNA metabolism and may explain the differences in neuron differentiation in the HTX-treated group. The upregulated proteins were related to cell detoxification and could represent a potential mechanism to explain the neuroprotective effect of HTX.
Social dominance orientation and right-wing authoritarianism across the adult lifespan: An examination of aging and cohort effects.

Social dominance orientation (SDO) and right-wing authoritarianism (RWA) are foundational constructs in intergroup relations, yet their development across the lifespan is poorly understood. The few studies on the topic demonstrate that age positively correlates with both SDO and RWA. However, it is unclear whether this association is due to (a) normative aging, (b) generational differences associated with the period in which one was born and raised, or (c) a combination of these processes. This study estimates a series of cohort-sequential latent growth models to examine change due to both aging and cohort effects using 11 annual waves of longitudinal panel data collected from a nationwide random sample of adults (Ns = 61,858-61,862). Mean levels of SDO and RWA both trended upward across the adult lifespan, although this pattern was more marked for RWA. Cohort effects also emerged for both constructs and were again more pronounced for RWA. Contextual factors thus appear to influence authoritarianism more than they impact the preference for intergroup hierarchy. Similar trends emerged when differentiating birth cohorts by gender and ethnic majority status. Age and cohort effects for generalized prejudice among an ethnic majority group were also assessed (N = 47,955), revealing that prejudice declined in early adulthood but began to stabilize in middle age. This is the first large-scale study to document how SDO, RWA, and generalized prejudice change over the adult lifespan while also examining trends associated with the period in which a person was born and socialized. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
Measuring Capital at Risk in the Uk Banking Sector: A Microstructural Network Approach

In this paper we construct and analyse the UK banking system’s Global Network of granular exposures which captures roughly 90% of the UK banking system’s total assets for the period 2018 Q1 to 2021 Q4. We thus study the microstructure of UK banking system focusing on the role played by concentration risk and interconnectedness across sectors. We then estimate the quarterly evolution of expected losses (Capital at Risk) for the UK banking sector, and via Monte Carlo simulations the stochastic distribution of UK banks’ losses to study the severity and likelihood of tail-events (Conditional Capital at Risk). In the end, we provide insights on the impact of the Covid-19 pandemic on UK banking system’s loss distribution by decomposing the sources of average and tail risks.
Multiple Identifications of Employees in an Organization: Salience and Relationships of Foci and Dimensions

This research addresses: (1) the salience of employees’ social (organizational, sub-organizational, group, micro-group), interpersonal, and personal identifications and their dimensions (cognitive and affective); (2) and the relationship and structure of the identifications of employees in different areas of professional activity. The study was conducted on independent samples of employees in the socio-economic sphere (241 participants), in the law enforcement agency (265), and in higher education (172). To assess the respective identification foci and dimensions, the study employed four questionnaires. The personal identification was the weakest and the micro-group identification was the strongest for both dimensions in all samples. The affective dimension prevails over the cognitive in all identifications, except for interpersonal. Social identifications were significantly positively correlated to each other in all samples whereas personal identification was significantly negatively correlated with all social identifications (on the affective dimension) in two samples. The results expand our understanding of the identifications of employees in organizations.
ANALISIS PENGARUH TATA KELOLA PERUSAHAAN DAN PENGHINDARAN PAJAK TERHADAP NILAI PERUSAHAAN(Studi Empiris pada PerusahaanPublik yang Tercatat di Bursa Efek Indonesia Tahun 2014-2015)

This study aims to examine the effects of corporate governance and tax avoidance toward the value of a company that a company may undertake. The sample in this study consists of 60 manufacturing companies listed on the Indonesia Stock Exchange with a total of 138 observations in the period 2014-2015. The sample is selected by purposive sampling method. Data analysis was performed with data quality testing, classical assumption testing, and hypothesis testing with multiple linear regression model. This study shows that good corporate governance has a positive and significant impact on company value. While tax evasion has a negative and significant influence on the value of the company.
Speed–Accuracy Trade-Off? Not So Fast: Marginal Changes in Speed Have Inconsistent Relationships With Accuracy in Real-World Settings

The speed–accuracy trade-off (SAT) suggests that time constraints reduce response accuracy. Its relevance in observational settings—where response time (RT) may not be constrained but respondent speed may still vary—is unclear. Using 29 data sets containing data from cognitive tasks, we use a flexible method for identification of the SAT (which we test in extensive simulation studies) to probe whether the SAT holds. We find inconsistent relationships between time and accuracy; marginal increases in time use for an individual do not necessarily predict increases in accuracy. Additionally, the speed–accuracy relationship may depend on the underlying difficulty of the interaction. We also consider the analysis of items and individuals; of particular interest is the observation that respondents who exhibit more within-person variation in response speed are typically of lower ability. We further find that RT is typically a weak predictor of response accuracy. Our findings document a range of empirical phenomena that should inform future modeling of RTs collected in observational settings.
Resistive Sensors for Smart Objects: Analysis on Printing Techniques

The growing diffusion and usability of additive printing techniques have created new manufacturing scenarios for products. Printed electronics is playing a key role in the design of next-generation objects. These objects are no longer only able to fulfill their original function, but through specific sensors and circuits can measure physical quantities in the surrounding environment. In this way, a conventional object is made smart, being able to communicate with other objects or remote units. This kind of change fits perfectly into the context of Industry 4.0, where the ability to collect additional information can increase efficiency in the production, transportation, and storage of products. Smart objects can be manufactured with numerous different technologies and materials depending on the performance required and on the specific application. The purpose of this article is to provide an analysis of printed technologies that enable resistive sensors printing on complex surfaces for smart object fabrication. First, an explanation of the technologies under consideration is provided. Then, an analysis of the aspects that affect the final print quality for each technique is provided, highlighting advantages and disadvantages. This article also indicates the limitations and potential of these printed technologies for smart objects.
Pathological, molecular, and serological study of small ruminant lentiviruses in Jordan

Background and Aim: Maedi-visna is a chronic viral disease of sheep with worldwide distribution causing substantial economic losses to the small ruminant industry. Pneumonia and mastitis are the main manifestations of the disease. This study aimed to investigate the occurrence of maedi-visna virus (MVV) in sheep using histopathology and nested polymerase chain reaction (PCR) techniques and also to estimate the seroprevalence of small ruminant lentiviruses (SRLVs) in sheep and goats using commercially available enzyme-linked immunosorbent assay (ELISA). Materials and Methods: Lung tissue samples from 380 sheep were collected and fixed in 10% formalin for histopathology and molecular diagnosis of MVV. Separately, 806 serum samples were randomly collected from 633 sheep and 173 goats to detect the seroprevalence of SRLVs using ELISA. Results: The results showed that 4.7% of lung samples (n=190) were positive by both histopathology and nested PCR, 5.8% (n = 380) were positive by histopathology only (have lymphoid follicular hyperplasia), and 7.4% (n = 190) were positive by nested PCR only. Statistical analysis revealed a moderate agreement between the two tests (Kappa=0.451, n = 190). Serology results revealed that sheep and/or goats herd prevalence was 59.8% (n = 87), while individual seroprevalence in sheep (40.1%, n = 633) was significantly higher than that in the other six countries and also significantly higher than that in goats (18.5%, n = 173) (at p < 0.05). Conclusion: The moderate statistical agreement between nested PCR and histopathological diagnosis of MVV in formalin-fixed paraffin-embedded sheep lung tissue samples (Kappa=0.451, n = 190) suggests combining both tests for more sensitive MVV detection in sheep lung samples. SRLVs seropositivity in sheep was significantly higher than in goats, thus, it is of high concern and urges the inquiry into the economic impact of the disease and the financial benefit of adopting eradication measures.