Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Review of COVID-19 and Pericarditis

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was first identified in Wuhan, China in December 2019. Since then, the disease has spread globally, leading to the ongoing pandemic. It can cause severe respiratory illness; however, many cases of pericarditis have also been reported. This systematic review aims to recognize the clinical features of pericarditis and myopericarditis in COVID-19 patients. Google Scholar, Medline/PubMed, CINAHL, Cochrane Central, and Web of Science databases were searched for studies reporting “Coronavirus” or “COVID” and “Peri-myocarditis,” “heart,” or “retrospective. ” Case reports and retrospective studies published from May 2020 to February 2021 were reviewed. In total, 33 studies on pericarditis, myopericarditis, and pericardial infusion were included in this review. COVID-19 pericarditis affected adult patients at any age. The incidence is more common in males, with a male-to-female ratio of 2:1. Chest pain (60%), fever (51%), and shortness of breath (51%) were the most reported symptoms, followed by cough (39%), fatigue (15%), myalgia (12%), and diarrhea (12%). Laboratory tests revealed leukocytosis with neutrophil predominance, elevated D-dimer, erythrocyte rate, and C-reactive protein. Cardiac markers including troponin-1, troponin-T, and brain natriuretic peptide were elevated in most cases. Radiographic imaging of the chest were mostly normal, and only 31% of chest X-rays showed cardiomegaly and or bilateral infiltration. Electrocardiography (ECG) demonstrated normal sinus rhythm with around 59% ST elevation and rarely PR depression or T wave inversion, while the predominant echocardiographic feature was pericardial effusion. Management with colchicine was favored in most cases, followed by non-steroidal anti-inflammatory drugs (NSAIDs), and interventional therapy was only needed when patient developed cardiac tamponade. The majority of the reviewed studies reported either recovery or no continued clinical deterioration. The prevalence of COVID-19-related cardiac diseases is high, and pericarditis is a known extrapulmonary manifestation. However, pericardial effusion and cardiac tamponade are less prevalent and may require urgent intervention to prevent mortality. Pericarditis should be considered in patients with chest pain, ST elevation on ECG, a normal coronary angiogram, and COVID-19. We emphasize the importance of clinical examination, ECG, and echocardiogram for decision-making, and NSAIDs, colchicine, and corticosteroids are considered to be safe in the treatment of pericarditis/myopericarditis associated with COVID-19.
Altered Brain Activity and Effective Connectivity within the Nonsensory Cortex during Stimulation of a Latent Myofascial Trigger Point

Myofascial trigger point (MTrP), an iconic characteristic of myofascial pain syndrome (MPS), can induce cerebral cortex changes including altered cortical excitability and connectivity. The corresponding characteristically reactive cortex is still ambiguous. Seventeen participants with latent MTrPs underwent functional near-infrared spectroscopy (fNIRS) to collect cerebral oxygenation hemoglobin (Δ[oxy-Hb]) signals. The Δ[oxy-Hb] signals of the left/right prefrontal cortex (L/R PFC), left/right motor cortex (L/R MC), and left/right occipital lobe (L/R OL) of the subjects were measured using functional near-infrared spectroscopy (fNIRS) in the resting state, nonmyofascial trigger point (NMTrP), state and MTrP state. The data investigated the latent MTrP-induced changes in brain activity and effective connectivity (EC) within the nonsensory cortex. The parameter wavelet amplitude (WA) was used to describe cortical activation, EC to show brain network connectivity, and main coupling direction (mCD) to exhibit the dominant connectivity direction in different frequency bands. An increasing trend of WA and a decreasing trend of EC values were observed in the PFC. The interregional mCD was primarily shifted from a unidirectional to bidirectional connection, especially from PFC to MC or OL, when responding to manual stimulation during the MTrP state compared with resting state and NMTrP state in the intervals III, IV, and V. This study demonstrates that the nonsensory cortex PFC, MC, and OL can participate in the cortical reactions induced by stimulation of a latent MTrP. Additionally, the PFC shows nonnegligible higher activation and weakened regulation than other brain regions. Thus, the PFC may be responsible for the central cortical regulation of a latent MTrP. This trial is registered with ChiCTR2100048433.
The 2021 Mw7.0 and Mw6.7 Miyagi‐Oki Earthquakes Nucleated in a Deep Seismic/Aseismic Transition Zone: Possible Effects of Transient Instability Due To the 2011 Tohoku Earthquake

In March and May 2021, Mw7.0 and Mw6.7, respectively, deep interplate earthquakes occurred off Miyagi, Japan, near the downdip edge of the rupture area of the 2011 M9 Tohoku earthquake. We study the two Mw ∼ 7 earthquakes to investigate how a great (Mw ∼ 9) earthquake cycle impacts the generation of smaller (Mw7‐8) earthquakes in the deep seismic/aseismic transition zone. Our hypocenter relocation results show that many repeating earthquakes have emerged in the downdip area after the Tohoku earthquake. The March Mw7.0 event was initiated in the slip area of an emerging interplate repeating earthquake sequence, suggesting that the nucleation of the Mw7.0 event occurred in a conditionally stable area where only aseismic slip occurred before the Tohoku earthquake. Downdip high‐rate creep in the postseismic period is a probable reason for the temporal aseismic‐to‐seismic transition that allowed the occurrence of repeating earthquakes and the rupture initiation of the Mw7.0 earthquake. The May Mw6.7 earthquake originated in an area where earthquake activity was high locally, both before and after the Tohoku earthquake, and shear stress increased after the March event. This suggests that both frictional properties and shear stress change contributed to the rupture initiation. The slip inversion results indicate that these two Mw ∼ 7 earthquakes ruptured the western part of the 1978 Mw7.6 Miyagi‐Oki earthquake source area and loaded the eastern part. Continued monitoring of seismicity patterns, including possible updip expansion of the interplate seismicity, is essential to examine how strain energy, plate‐locking state, and creep evolve during the Mw9.0 earthquake cycle.
DUKUNGAN ORGANISASI YANG DIRASAKAN DAN KETERIKATAN KARYAWAN PADA KARYAWAN PT. BANK RAKYAT INDONESIA (Persero) Tbk, CABANG BANDA ACEH

Development of globalization impact to a strict competition between the companies. This lead the Human Resources factor into a crucial role in maintaining, directing and developing the company. Therefore, every company needs employees who are bound by their job. One of the things that can encourage the formation of relationship between the employee is perceived organizational support. This study aims to determine the relationship between perceived organizational support by attachment of employees at PT. Bank Rakyat Indonesia (Persero) Tbk, Branch of Banda Aceh. The number of samples in this study were 139 permanent employees who were still working or were not taking time off from work with a minimum term of one year and the last education was diploma. The sampling technique used purposive sampling technique. Collecting the data using the scale adaptation of Survey of Perceived Organizational Support with 17-item version (α= .91) and a scale adaptation of Utrecht Work Engagement Scale (UWES) with 17-item version (α= .95). The results of data analysis using pearson product moment correlation technique that showed a positive relationship between perceived organizational support by attachment of employees at PT. Bank Rakyat Indonesia (Persero) Tbk, Branch of Banda Aceh (rxy = .30, p < .05). The higher of perceived organizational support to the employee, likewise the higher bound of employee or otherwise.
The Effect of Non-Financial Factors on Firm Value with Tax Aggressiveness as Moderating

There are still many problems with company value in Indonesia. This study aims to analyze the effect of non-financial factors on firm value. In addition, this study also examines tax aggressiveness as moderating the influence of non-financial factors on firm value. The sample used in this study is a real estate company listed on the Indonesia Stock Exchange for the period 2018 – 2020. The analytical method used is multiple linear regression, including classical assumption test, coefficient of determination test, hypothesis testing and moderate regression analysis. Statistical tool used by using Statistical Product and Service Solution Version 23. The audit committee has a positive and significant effect on firm value. Meanwhile, the independent commissioner and family ownership variables have no significant effect on firm value. Moderation test proves that tax aggressiveness cannot moderate the effect of independent commissioners, audit committees and family ownership on firm value.
A multi‐preference integrated algorithm for deep learning based recommender framework

Nowadays, the online recommender systems based collaborative filtering methods are widely employed to model long term user preferences (LTUP). The deep learning methods, like recurrent neural networks (RNN) have the potential to model short‐term user preferences (STUP). There is no dynamic integration of these two models in the existing recommender systems. Therefore, in this article, a multi‐preference integrated algorithm (MPIA) for deep learning based recommender framework (DLRF) is proposed to perform the dynamic integration of these two models. Moreover, the MPIA addresses improper data and to improve the performance for creating recommendations. This algorithm is depending on an enhanced long short term memory (LSTM) with additional controllers to consider relative information. Here, experiments are carried out by Amazon benchmark datasets, then obtained outcomes are compared with other existing recommender systems. From the comparison, the experimental outcomes show that the proposed MPIA outperforms existing systems under performance metrics, like area under curve, F1‐score. Consequently, the MPIA can be integrated with real time recommender systems.
ANN-based methods for solving partial differential equations: a survey

Abstract Traditionally, partial differential equation (PDE) problems are solved numerically through a discretization process. Iterative methods are then used to determine the algebraic system generated by this process. Recently, scientists have emerged artificial neural networks (ANNs), which solve PDE problems without a discretization process. Therefore, in view of the interest in developing ANN in solving PDEs, scientists investigated the variations of ANN which perform better than the classical discretization approaches. In this study, we discussed three methods for solving PDEs effectively, namely Pydens, NeuroDiffEq and Nangs methods. Pydens is the modified Deep Galerkin method (DGM) on the part of the approximate functions of PDEs. Then, NeuroDiffEq is the ANN model based on the trial analytical solution (TAS). Lastly, Nangs is the ANN-based method which uses the grid points for the training data. We compared the numerical results by solving the PDEs in terms of the accuracy and efficiency of the three methods. The results showed that NeuroDiffeq and Nangs have better performance in solving high-dimensional PDEs than the Pydens, while Pydens is only suitable for low-dimensional problems.
High temperature thermal behaviour modeling of large-scale fused silica optics for laser facility

High temperature annealing is often used for the stress control of optical materials. However, weight and viscosity at high temperature may destroy the surface morphology, especially for the large-scale, thin and heavy optics used for large laser facilities. It is necessary to understand the thermal behaviour and design proper support systems for large-scale optics at high temperature. In this work, three support systems for fused silica optics are designed and simulated with the finite element method. After the analysis of the thermal behaviours of different support systems, some advantages and disadvantages can be revealed. The results show that the support with the optical surface vertical is optimal because both pollution and deformation of optics could be well controlled during annealing at high temperature. Annealing process of the optics irradiated by CO2 laser is also simulated. It can be concluded that high temperature annealing can effectively reduce the residual stress. However, the effects of annealing on surface morphology of the optics are complex. Annealing creep is closely related to the residual stress and strain distribution. In the region with large residual stress, the creep is too large and probably increases the deformation gradient which may affect the laser beam propagation.
Carbon and nitrogen isotopic similarity between the endangered Darwin’s fox (Lycalopex fulvipes) and sympatric free-ranging dogs in Chiloé Island, Chile

ABSTRACT Darwin’s fox is an opportunistic omnivorous predator native to Chile classified as endangered by the IUCN Red List. Habitat use by Darwin’s foxes can be negatively affected by the presence of free-ranging dogs that range freely across native and non-native habitats and can be a source of fox mortality. The objective of this study was to analyze the isotopic similarity of Darwin’s fox and sympatric free-ranging dogs in Chiloé Island to determine the impact of anthropogenic environmental alterations on wild predators. We use hair samples to characterise and compare their δ 13C and δ 15N values and to evaluate isotopic similarity and isotope niches overlap. A generalised linear model was used to associate the isotope value with landscape variables (forest cover and vegetation type) and distance to the nearest house. We found no significant differences in δ 13C or δ 15N values between foxes and dogs, and a marginally significant isotope niche overlap (59.4 %). None of the selected variables at landscape and site scale were related to isotope values. Although our study is not a probe of direct contact between foxes and free-ranging dogs, the high isotopic similarity highlights the risk of pathogen spillover from free-ranging dogs to Darwin’s foxes.
Low Levels of Contaminants Stimulate Harmful Algal Organisms and Enrich Their Toxins.

A widespread increase in intense phytoplankton blooms has been noted in lakes worldwide since the 1980s, with the summertime peak intensity amplifying in most lakes. Such blooms cause annual economic losses of multibillion USD and present a major challenge, affecting 11 out of the 17 United Nations Sustainable Development Goals. Here, we evaluate recent scientific evidence for hormetic effects of emerging contaminants and regulated pollutants on Microcystis sp. , the most notorious cyanobacteria forming harmful algal blooms and releasing phycotoxins in eutrophic freshwater systems. This new evidence leads to the conclusion that pollution is linked to algal bloom intensification. Concentrations of contaminants that are considerably smaller than the threshold for toxicity enhance the formation of harmful colonies, increase the production of phycotoxins and their release into the environment, and lower the efficacy of algaecides to control algal blooms. The low-dose enhancement of microcystins is attributed to the up-regulation of a protein controlling microcystin release (McyH) and various microcystin synthetases in tandem with the global nitrogen regulator Ycf28, nonribosomal peptide synthetases, and several ATP-binding cassette transport proteins. Given that colony formation and phycotoxin production and release are enhanced by contaminant concentrations smaller than the toxicological threshold and are widely occurring in the environment, the effect of contaminants on harmful algal blooms is more prevalent than previously thought. Climate change and nutrient enrichment, known mechanisms underpinning algal blooms, are thus joined by low-level pollutants as another causal mechanism.
Predictors of health-related quality of life among Iranian people with type 2 diabetes

Introduction: Diabetes is a common disease with several macro-vascular and microvascular complications, which can result in long-term damage of various organs. Health-related quality of life (HRQOL) is commonly impaired in patients suffering from prolonged diseases. Inadequate attention to HRQOL leads to decreased compliance with treatment and health-care interventions. Objectives: This study was aimed to identify possible determinants of HRQOL in Iranian people with type 2 diabetes mellitus (T2DM). Patients and Methods: A cross-sectional study of 160 patients with T2DM registered at endocrinology clinic of the Alzahra teaching hospital of Isfahan university of medical sciences, Iran, was conducted in 2019-2020. HRQOL was measured using the Short Form 36 Health Survey Questionnaire (SF-36). Multivariate linear regression models were used to analyze the variables associated with HRQOL. Results: A total of 160 patients took part in this study. The mean age of the respondents was 59.3 (9.9) years. Around 107 patients (66.9%) were women. The mean (SD) for sub-scales of SF-36 in all patients were physical functioning 57.1(32.5), role limitation due to physical health 62.4 (42.1), role limitation due to emotional health 82.3 (35.8), energy/fatigue 58.8 (21.4), emotional well-being 72.5 (17.5), social functioning 80.4 (28.3), pain 70.5 (26.9) and general health 46.9 (26.3). The most common factors contributing to lower SF-36 subscales were being female, having a higher body mass index (BMI), and having macro-vascular complications. Conclusion: HRQOL among Iranian people with T2DM is mostly influenced by gender, weight, and diabetes complications. By reducing complications of diabetes, especially macrovascular complications, and implementing obesity prevention policies, HRQOL could be improved. A patient-centered approach is needed to improve HRQOL for each patient.
Dynamically tunable slow light effect based on graphene terahertz metamaterial

Abstract Recently, the terahertz metamaterials with tunable EIT effect have a wide application range, especially in slow light applications area. However, the traditional tuning means are very difficult to implement, such as superconductor and MEMS, which limit their application range. For this reason, we proposed a terahertz EIT metamaterial structure consisting of two metallic strips, a split ring resonator and a graphene ribbon. The numerical results demonstrate that a transparency window is induced by the destructive interference of the bright mode and dark mode and moreover, the amplitude of the transparency window can be actively modulated by changing Fermi energy of graphene via electrostatic doping. The tunable response can attribute to the increasing conductivity of graphene, weakening near field coupling between the bright mode and dark modes. Therefore, these results have important reference for future development of slow light devices and sensors.
The gateway to guanine nucleotides: Allosteric regulation of IMP dehydrogenases

Inosine 5′‐monophosphate dehydrogenase (IMPDH) is an evolutionarily conserved enzyme that mediates the first committed step in de novo guanine nucleotide biosynthetic pathway. It is an essential enzyme in purine nucleotide biosynthesis that modulates the metabolic flux at the branch point between adenine and guanine nucleotides. IMPDH plays key roles in cell homeostasis, proliferation, and the immune response, and is the cellular target of several drugs that are widely used for antiviral and immunosuppressive chemotherapy. IMPDH enzyme is tightly regulated at multiple levels, from transcriptional control to allosteric modulation, enzyme filamentation, and posttranslational modifications. Herein, we review recent developments in our understanding of the mechanisms of IMPDH regulation, including all layers of allosteric control that fine‐tune the enzyme activity.
Solid State Drive: New Challenge for Forensic Investigation

There has been a tremendous increase in the usage of electronic devices day by day. With the increase in usage of electronic devices, technology keeps on emerging. Due to the emergence of new technologies, there has always been a scope for the hackers to cash the loopholes that are available which resulted in a hefty increase in cyber crimes. Consequently, the number of investigations that require digital forensic expertise have been resulting in a huge evidence backlogs that are being encountered by the law enforcement agencies all over the world. It is anticipated that the number of cases that would require digital forensics is likely to be increased in future. The primary storage technology used for digital information has remained constant over the last two decades in the form of the magnetic disc. For decades, Hard drives have been dominating the market due to their cost and capacity. However, things are being developed and manufactured to be faster and smaller but there are few changes that truly turned to be technological revolutionary. Solid states drive familiarly known as SSD have crept up on us as they arrive under cover of the previously known technology. This paper demonstrated that the assumptions about the behavior of a storage media are no longer valid, how modern storage devices will operate under their own volition without any computer instructions. These operations are highly destructive of traditionally recoverable data. This would contaminate evidence, can make validation of digital evidence reports difficult, it can complicate the process of live and dead analysis recovery and can also complicate and frustrate the post recovery forensic analysis. This paper compared the key evidence that were identified in an HDD and SSD and discussed the key features that make SSD self-Destructive and cause difficulties for Forensic Investigations.
Energy Poverty and Health Care Expenditures: Evidence from the China Family Panel Studies

Using the 2012-2018 waves of the China Family Panel Studies (CFPS), we investigate the impact of energy poverty (EP) on health care expenditures among Chinese adults aged 18+. Employing a methodology combining a random effects two-part model and instrumental variable estimations, we show that EP leads to higher levels of total (305 yuan), out-of-pocket (199 yuan), inpatient (230 yuan) and other (113 yuan) health care expenditures, with more pronounced impacts among females and those living in urban areas and Central and Western China. These results are robust not only to alternative EP and health care expenditure measures but also to a series of estimation approaches that control for endogeneity. An additional structural equation modeling analysis of the underlying pathways further reveals that this EP-health care expenditure relationship is mediated by individual self-reported health as well as expenditures on food and other daily necessities.