Miracle-dz/UniFAR-FTUs huggingface dataset:
A Necroptosis-Related lncRNA Signature Predicts Prognosis and Indicates the Immune Microenvironment in Soft Tissue Sarcomas

Background: The necroptosis and long noncoding RNA (lncRNA) are critical in the occurrence and development of malignancy, while the association between the necroptosis-related lncRNAs (NRlncRNAs) and soft tissue sarcoma (STS) remains controversial. Therefore, the present study aims to construct a novel signature based on NRlncRNAs to predict the prognosis of STS patients and investigate its possible role. Methods: The transcriptome data and clinical characteristics were extracted from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression database (GTEx). A novel NRlncRNA signature was established and verified by the COX regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis. Subsequently, the K-M survival analysis, ROC, univariate, multivariate Cox regression analysis, and nomogram were used to evaluate the predictive value of the signature. Also, a variety of bioinformatic analysis algorithms explored the differences between the potential mechanism, tumor immune status, and drug sensitivity in the two-risk group. Finally, the RT-qPCR was performed to evaluate the expression of signature NRlncRNAs. Results: A novel signature consisting of seven NRlncRNAs was successfully established and verified with stable prediction performance and general applicability for STS. Next, the GSEA showed that the patients in the high-risk group were mainly enriched with tumor-related pathways, while the low-risk patients were significantly involved in immune-related pathways. In parallel, we found that the STS patients in the low-risk group had a better immune status than that in the high-risk group. Additionally, there were significant differences in the sensitivity to anti-tumor agents between the two groups. Finally, the RT-qPCR results indicated that these signature NRlncRNAs were abnormally expressed in STS. Conclusion: To the best of our knowledge, it is the first study to construct an NRlncRNA signature for STS. More importantly, the novel signature displays stable value and translational potential for predicting prognosis, tumor immunogenicity, and therapeutic response in STS.
Risk Factors for Synchronous Peritoneal Metastases in Colorectal Cancer: A Systematic Review and Meta-Analysis

Background Early detection of synchronous colorectal peritoneal metastases (CPMs) is difficult due to the absence of typical symptoms and the low accuracy of imaging examinations. Increasing the knowledge of the risk factors for synchronous CPM may be essential for early diagnosis and improving their management. This study aimed to identify the risk factors for synchronous CPM. Method The study was registered at PROSPERO (CRD42020198548). The PubMed, Embase and Cochrane Library databases were searched for studies comparing the clinicopathological and molecular features between patients with or without synchronous CPM. The pooled data were assessed by a random-effects model. Results Twenty-five studies were included. A synchronous CPM was positively associated with female sex (OR 1.299; 1.118 to 1.509; P = 0.001), PROK1/PROKR2-positivity (OR 2.244; 1.031 to 4.884; P = 0.042), right-sided colon cancer (OR 2.468; 2.050 to 2.970; P < 0.001), poorly differentiated grade (OR 2.560; 1.537 to 4.265; P < 0.001), BRAF mutation (OR 2.586; 1.674 to 3.994; P < 0.001), mucinous adenocarcinoma (OR 3.565; 2.095 to 6.064; P < 0.001), signet-ring cell carcinoma (OR 4.480; 1.836 to 10.933; P = 0.001), N1-2 (OR 5.665; 3.628 to 8.848; P < 0.001), T4 (OR 12.331; 7.734 to 19.660; P < 0.001) and elevated serum CA19-9 (OR 12.868; 5.196 to 31.867; P < 0.001). Conclusions These evidence-based risk factors are indicators that could predict the presence of synchronous CPMs and can improve their management. Systematic Review Registration www.crd. york.ac. uk/prospero, identifier: CRD42020198548.
Biological Therapy of Severe Asthma with Dupilumab, a Dual Receptor Antagonist of Interleukins 4 and 13

Interleukin-4 (IL-4) and interleukin-13 (IL-13) are key cytokines involved in the pathophysiology of both immune-inflammatory and structural changes underlying type 2 asthma. IL-4 plays a pivotal role in Th2 cell polarization, immunoglobulin E (IgE) synthesis and eosinophil recruitment into the airways. IL-13 synergizes with IL-4 in inducing IgE production and also promotes nitric oxide (NO) synthesis, eosinophil chemotaxis, bronchial hyperresponsiveness and mucus secretion, as well as the proliferation of airway resident cells such as fibroblasts and smooth muscle cells. The biological effects of IL-4 and IL-13 are mediated by complex signaling mechanisms activated by receptor dimerization triggered by cytokine binding to the α-subunit of the IL-4 receptor (IL-4Rα). The fully human IgG4 monoclonal antibody dupilumab binds to IL-4Rα, thereby preventing its interactions with both IL-4 and IL-13. This mechanism of action makes it possible for dupilumab to effectively inhibit type 2 inflammation, thus significantly reducing the exacerbation of severe asthma, the consumption of oral corticosteroids (OCS) and the levels of fractional exhaled NO (FeNO). Dupilumab has been approved not only for the add-on therapy of severe asthma, but also for the biological treatment of atopic dermatitis and nasal polyposis.
Analisis Dampak Penerapan PSAK 73 Atas Sewa Terhadap Kinerja Keuangan Pada Industri Jasa Yang Terdaftar Di Bursa Efek Indonesia Tahun 2019

PSAK 73 merupakan standar akuntansi sewa terbaru yang mulai berlaku tanggal 01 Januari 2020 diadopsi dari IFRS 16. PSAK 73 akan mengarah pada kapitalisasi sebagian besar sewa operasi saat ini oleh lessee. Penulis menganalisis dampak standar akuntansi sewa terbaru pada laporan keuangan perusahaan dengan menggunakan metodelogi kapitalisasi kontruktif sewa yang sebelumnya sudah digunakan oleh penelitian sebelumnya Imhoff dkk (1991) PSAK yang kemudian sudah di modernisasi oleh Öztürk Meryem dan Sercemeli (2016) . Tujuan dari penelitian ini adalah untuk menguji laporan posisi keuangan lessee perusahaan setelah transisi ke standar pelaporan keuangan baru PSAK 73 yang akan berdampak pada perubahan rasio keuangan. Hasil studi menunjukkan bahwa jika sewa operasi di neraca akan menyebabkan peningkatan pada aset dan liabilitas serta penurunan pada ekuitas, akibatnya terdapat rasio yang mengalami dampaknya seperti peningkatan dalam rasio solvabilitas DAR dan penurunan rasio profitabilitas ROE.
Application of Pharmacokinetic/Pharmacodynamic Modeling to Bridge Mouse Antitumor Efficacy and Monkey Toxicology Data for Determining the Therapeutic Index of an Interleukin-10 Fc Fusion Protein

Pharmacokinetic/pharmacodynamic (PK/PD) modeling was performed to quantitatively integrate preclinical pharmacology and toxicology data for determining the therapeutic index (TI) of an interleukin-10 (IL-10) fragment crystallizable (Fc) fusion protein. Mouse Fc fused with mouse IL-10 (mFc-mIL-10) was studied in mice for antitumor efficacy, and the elevation of interleukin-18 (IL-18) was examined as a PD biomarker. The in vivo mFc-mIL-10 EC50 for the IL-18 induction was estimated to be 2.4 nM, similar to the in vitro receptor binding affinity (Kd) of 3.2 nM. The IL-18 induction was further evaluated in cynomolgus monkeys, where the in vivo induction EC50 by a human IL-10 human Fc-fusion protein (hFc-hIL-10) was 0.08 nM vs. 0.3 nM measured as the in vitro Kd. The extent of the IL-18 induction correlated with mouse antitumor efficacy and was used to connect mouse efficacy to that in monkeys. The PD-based efficacious dose projected in monkeys was comparable to the results obtained using a PK-based method in which mouse efficacious exposure was targeted and corrected for affinity differences between the species. Furthermore, PK/PD relationships were developed for anemia and thrombocytopenia in monkeys treated with hFc-hIL-10, with thrombocytopenia predicted to be dose-limiting toxicity. Using quantitative pharmacology and toxicology information obtained through modeling work in the same species, the TI of hFc-hIL-10 in monkeys was determined to be 2.4 (vs. PD-based efficacy) and 1.2–3 (vs. PK-based efficacy), indicating a narrow safety margin. The model-based approaches were proven valuable to the developability assessment of the IL-10 Fc-fusion protein.
Environmental Performance Reporting and Assessment of the Biodegradable Waste Treatment Plants Registered to EMAS in Italy

This study investigates how the environmental performances of biodegradable waste (e.g., organic fraction of municipal solid waste, green waste, agro-industrial waste) treatment plants are reported and how their improvement is planned by the managing companies, and assesses current key quantitative data versus the Best Available Techniques associated emission levels (BAT-AELs). Based on their Environmental Statements (ESs), 16 installations registered to EMAS in Italy in 2021 were analyzed. A set of 15 technical-environmental-social key aspects was described through 131 different indicators. Emissions to air, odor emissions, energy consumption/production, waste production and water consumption were the only key aspects considered significant and quantified by at least 50% of the ESs. Improvement targets were set by 38% of the companies for process management, and by 25% for emissions to air, for a total allocated budget of 25.2 M€. Odor emissions were mostly below the lower BAT-AELs, while NH3 concentration values were slightly above the lower BAT-AELs, demonstrating good performance levels and an overall improvement trend in the period 2018–2020 (−6% and −33.6%, respectively). This study provides interesting hints on the environmental performances of biodegradable waste treatment plants, also contributing to raise the trust of the wide public towards this waste treatment sector.
State Monitoring of Gas Regulator Station Based on Feature Selection of Improved Grey Relational Analysis

The in-depth application of the IoT technology in the gas industry has improved the intelligence of the gas system. As an important part of the gas system, the optimization of state monitoring of regulator stations is of great significance. The efficiency of monitoring can be improved by feature selection, but the reduction of important features will reduce the accuracy of identification. Therefore, a feature selection method based on gray relational analysis is proposed. First, the distance between the comparison matrix and the reference matrix is transformed using the geometric probability distribution, which solves the problem of data initial transformation. Then, an adaptive value method of resolution coefficient based on the cuckoo algorithm is proposed. Finally, a weight coefficient is constructed by combining the redundancy and the correlation to improve the gray relational degree applied to nonsequential systems. The maximum classification accuracy and the number of selected features are used to compare the performance of feature selection methods for several different types of data sets. Simulation analysis shows that the proposed method has higher maximum classification accuracy and smaller selected feature set. Finally, the proposed method is applied to the state monitoring of gas regulator stations. Seven feature selection methods, including the proposed method, the classical methods, and the advanced methods are combined with a support vector machine, $k$ -nearest neighbor, and decision tree, respectively. The experimental results indicate that the comprehensive performance of the proposed method combined with the three classifiers is good. It enables the subset containing the most identifiable features to be obtained quickly, which is beneficial to improve the efficiency of state monitoring.
Protective effect of the combined use of L-carnitine and L-arginine against hepatic ischemia-reperfusion injury in rats

Background: Hepatic ischemia-reperfusion injury (IRI) can be mainly caused by oxidative stress, decreased nitric oxide (NO) level, activation of hepatic Kupffer cells, neutrophils adhesions, increased level of intercellular adhesion molecules, and inflammatory process. Aim: Studying the ability of L-carnitine (LC) and L-arginine (LG) to protect the liver cells against the damage caused by IRI. Methods: This study was carried out on 40 male Wistar albino rats which were divided into 5 groups; shamoperated, hepatic IRI, IRI rats pretreated with L-carnitine, IRI rats pretreated with Larginine, IRI rats pretreated with both substances. Results: The pretreatment with LC and LG separately protected the liver cells against IRI damage with preservation of liver functions by significantly improving the oxidative stress and inflammatory states, increasing NO level, decreasing the expression of vascular adhesion molecules in liver tissue, and protecting the liver cells from the damage. It was obvious that LC effects were more significant on all the tested parameters except on the NO level where the LG effect was more significant. Moreover, the combined use of both LC and LG produced a highly significant improvement of all the tested parameters approaching near the control level than that observed by their separate use. Conclusion: The combined use of both LC and LG could effectively protect the liver cells from the harmful effects of IRI.
Organisational compassion and employee voice behaviour: The mediating role of perceived insider status and felt responsibility

Drawing on social exchange and social cognitive theory, we explored the role of perceived insider status and felt responsibility in the relationship between organisational compassion and employee voice. The sample consisted of 301 employees from eight enterprises in China (female = 56.1%; mean age = 30.72 years, SD = 8.66 years; bachelor’s degree or above = 92.4 %). Path analysis and bootstrap tests were conducted to test all hypotheses simultaneously. The results showed that organisational compassion was not only positively and directly associated with employee voice, but also positively and indirectly associated with employee voice through the mediating role of felt responsibility and the serial mediating role of perceived insider status and felt responsibility. Moreover, perceived insider status and felt responsibility had a positive interaction effect on employees’ prohibitive voice behaviour. The findings increase our understanding of the antecedents of employee voice for organisational citizenship.
A new quasilinear saturation rule for tokamak turbulence with application to the isotope scaling of transport

A new quasilinear saturation model SAT3 has been developed for the purpose of calculating radial turbulent fluxes in the core of tokamak plasmas. The new model is shown to be able to better recreate the isotope mass dependence of nonlinear gyrokinetic fluxes compared to contemporary quasilinear models, including SAT2 (Staebler et al 2021 Nucl. Fusion 61 116007), while performing at least as well in other key equilibrium parameters. By first quantifying the isotope scaling of gyrokinetic flux spectra, it is shown that the deviation from the gyroBohm scaling of fluxes originates primarily in the magnitude of the saturated potentials. Using this result SAT3 was formulated using observations made from gyrokinetic data, including a novel and robust relation between the 1D potential spectrum and the radial spectral widths. This serves to define the underlying functional forms of SAT3 before then connecting to the linear dynamics, including a difference in saturation level between ITG- and TEM-dominated turbulence, with the resulting free parameters having been fit to a database of high-resolution nonlinear CGYRO simulations. Additional features outside of the database are included, including E × B shear and multi-ion plasma capability. The methodology used in the development of SAT3 represents an algorithm which can be used in the improvement and generation of future saturation models.
The Influence of Capacitance and Inductance Changes on Frequency Response of Transformer Windings

Frequency Response Analysis (FRA) is a test method used for assessment of mechanical condition of transformer active parts. Its biggest problem is the interpretation of test results, namely the relationship between scale of differences between compared curves and the decision for further operation of the given transformer. Very often visible differences between two FRA curves do not mean that there is a deformation in the winding. The cause of the curve shift may come from other elements of the transformer that influence inductive or capacitive parameters. This paper takes under consideration the influence of both capacitance and inductance changes on transformer frequency response (FR). The analysis is performed with the computer model of a transformer and also some experimental results are presented, showing the influence of capacitance and inductance changes on the FR of real transformers. The results of research showed that this influence may lead to misleading effects on the shape of FR characteristics. The paper presents an analysis that can be used in the assessment of FRA measurement, especially in the case of uncertain data comparison results.
Tree biodiversity in northern forests shows temporal stability over 35 years at different scales, levels and dimensions

At global scales, species richness is declining. However, at local scales, understanding exactly how, where and why biodiversity is changing becomes challenging since researchers have assessed biodiversity trends using different indicators, data sources and methods (e.g. repeated measurements at the same site over time vs. space‐for‐time substitutions). In this study, we present a multifaceted analysis of biodiversity change by assessing how tree diversity in Québec, Canada changed between two sampling periods (1970–1977 and 2005–2016), in regards to different: levels of diversity (alpha diversity, temporal turnover and spatial beta diversity), dimensions of diversity (taxonomic, functional and phylogenetic), metrics of diversity (presence–absence and abundance based), and spatial scales of analysis (plot, 50, 100 and 200 km). We then assess how well potential drivers of biodiversity change (climate change and land cover change) explain the observed changes in alpha diversity. Since the data came from plots that remained forested over the course of the study, we used historical land cover change data and scenario analyses to test whether results from forest plots were likely to be representative of the broader landscape. Across all levels, dimensions, metrics and spatial scales of analysis, we found either increases or no net change in diversity over time, with wide distributions of values around the mean. Presence–absence metrics often indicated increases in diversity over time, while abundance‐based metrics were more likely to show no net change. Potential drivers such as climate change and land cover change explained only a small fraction of the variation in alpha diversity change (i.e. why particular sites experienced positive vs. negative change) at the plot scale (adjusted R2 ≈ 0.03), but a greater fraction at coarser spatial scales (adjusted R2 of ~0.10 to ~0.50). Results from these forest plots are likely representative of the diversity change within the study region, since estimates of alpha diversity change only became negative under scenarios with the most extreme disturbance impacts. Synthesis. None of our indicators showed evidence of declines in alpha or beta diversity of trees in temperate and boreal forests in Quebec (except for simulations with extremely high forest loss), but we did find temporal turnover in composition. Our results go beyond previous studies by analysing the many different aspects of biodiversity that might change over time, highlighting the need to shift from blanket descriptions of ‘biodiversity loss’ to more nuanced discussions around ‘biodiversity change’.
Are internal controls important in financial accountability? (Evidence from Lira District Local Government, Uganda)

Abstract: Purpose: The study examined the importance of internal control systems in financial accountability in Lira District Local Government, Uganda. Specifically, the study determined the importance of control activities, control environment, and monitoring of controls on financial accountability. Research methodology: A correlational design to establish the relationships between internal control systems and financial accountability, and regression analysis to explain the importance of internal controls on financial accountability were adopted. Results: Internal control systems account for 55.4% of the variations in financial accountability. Specifically, control environment and monitoring controls bear significant effects on financial accountability while control activities do not. Contribution: This is one of the original studies to assess Lira District Local Government. The study validates the contingent theory and extends its application in public administration. Limitations: The input of stakeholders from the community was ignored. Future researchers should consider investigating the role of community participation on the performance of district local governments in Uganda. Keywords: 1. Control activities 2. Control environment 3. Financial accountability 4. Internal control 5. Monitoring of activities
The Classification of L Dwarfs: Is It Based on Clouds or Temperature?

A continuous L dwarf classification sequence requires the combined use of far optical (visible) and near infrared spectral indices. However, the visible and near infrared indices currently in use assign subtypes that differ by up to three subclasses due to differences in cloud opacity for objects with the same effective temperature. Therefore, it may be impossible to combine visible and near infrared spectral indices to create one L dwarf classification system, and two classification variables may be necessary.
Effect of Government Efficiency on Tax Evasion: The Mediating Role of Ethics and Control of Corruption

ABSTRACT Drawing on institutional theory, this study tests the effect of government efficiency on tax evasion by considering the mediating role of ethics and control of corruption. The different sources of variables forced us to choose a common time period from 2010 to 2015 as well as a common list of 138 countries in the sample. The results indicated that government efficiency and ethics and control of corruption separately are influential in reducing tax evasion. Furthermore, government efficiency is a significant predictor of ethics and control of corruption. The final step of analyses proved the existence of a full mediation effect of ethics and control of corruption between government efficiency and tax evasion. In other words, ethics and control of corruption is a mechanism through which government efficiency reduces tax evasion. The study suggests regulatory and practical implications that are largely for the public sector, administrators, and politicians.