Miracle-dz/UniFAR-FTUs huggingface dataset:
PLAC8 Correlates with Prognosis, Immune Infiltration, and T Cell Exhaustion in Breast Cancer

Background: Lysosomal protein placenta-specific 8 (PLAC8) with abundant cysteine, also referred to as onzin, participates in numerous cancers, and its effect is greatly determined by the cellular and tumor microenvironment (TME). Ourstudy focused on investigating the prognostic significance of PLAC8 and examined the association between PLAC8, immune infiltration, and T cells function in multiple malignancies comprehensively, particularly in breast cancer (BRCA). Methods: PLAC8 expression in various malignancies was analyzed using TIMER. PrognoScan, Kaplan-Meier Plotter, and GEPIA2 were utilized to explore the significance of PLAC8 in prognostic prediction. Moreover, PLAC8 functions were systematically analyzed through cancerSEA. Additionally, TISIDB, TIMER, and GEPIA2 were also employed for analyzing the associations among PLAC8, immune infiltration, related gene marker sets, and clinical stages. Finally, PLAC8 and its co-expressed genes biological process and KEGG were analyzed. Results: PLAC8 expression decreased in most malignancies and was related to poor prognosis in BRCA. PLAC8 significantly affected the survival of BRCA with ER status – array, PR status – IHC, HER2 status – array, Intrinsic subtype, Grade, and Pietenpol subtype. Increased PLAC8 expression positively correlated with the increased immune infiltration levels within immune cells and many functional T cells (such as exhausted T cells). In BRCA cells, PLAC8 functional phenotypesshowed a negative correlation with invasion, metastasis, apoptosis, DNA damage, and DNA repair. Besides, PD-1, TIM-3, TIGIT, LAG3, and GZMB, critical genes of exhausted T cells, interacted with PLAC8. Further analysis indicated that PLAC8 was related to T cell activation, proliferation and adhesion of leukocytes,adaptive immune response, cell adhesion molecules (CAMs), cytotoxicity-mediated by natural killer cells, and the NF-kappa B signal transduction pathway.Conclusion:PLAC8 is a prognostic indicator in pan-cancers, especially BRCA. Elevated PLAC8 level could significantly enhance immune infiltration in CD4+ T cells, CD8+ T cells, and functional T cells. Additionally, PLAC8 was tightly associatedwith T cell exhaustion which possibly enhances the latterwithin BRCA. PLAC8 expression determination might help in prognosis, and modulation of PLAC8level within exhausted T cells, a novel approach for optimizing the therapeutic effect of immunotherapy on BRCA cases.
Privacy budget management and noise reusing in multichain environment

To solve the problem of query restriction in supply‐chain financial blockchain system, this paper proposes a privacy budget management and noise reusing method in multichain blockchain environment based on Hyperledger multichannel technology and community clustering algorithm. A historical record book is established to manage the privacy budget according to historical query types, and a differential privacy protection algorithm based on noise reusing is used to generate and reusing noise. In the experiments, we tested the privacy budget loss, data utility and system performance based on the business data‐set from chemical supply chain. The experimental results show that the blockchain system with multichain structure based on community clustering algorithm reduces the system data storage space and decreases request processing time effectively. The privacy budget loss of the proposed method is about 1/3 of that of the pure Gaussian mechanism method. After 100 queries, the total amount of noise is about 8% less than that of pure Gaussian mechanism. Besides that, the noise reusing algorithm reduces the loss of the privacy budget and breaks through the query limitation caused by privacy budget wasting.
Locating Pareto optimal designs of antenna through parallel multiobjective evolutionary algorithm

Population‐based multiobjective metaheuristics are potential in microwave component designs because all electric properties could be optimized simultaneously to find several tradeoff designs in a single run. However, they often suffer extremely‐expensive computational time caused by too many full‐time objective function evaluations. In this paper, firstly, an efficient parallel implementation of MOEA/D (multiobjective evolutionary algorithm based on decomposition) is proposed to reduce the overall computational time. Secondly, optimization speed, approximation performance to the entire Pareto front, and algorithm robustness of the proposed parallel MOEA/D are investigated through extensive standard test instances. Then, a complete design procedure based on the proposed optimization algorithm is presented to locate multiple Pareto optimal designs of antenna. Finally, a compact broadband dual‐polarized antenna operating at 3.3‐5.0 GHz is designed for 5G base station applications. Comparisons are made to verify the great performance of the proposed method.
Profile of stress among a group of female school children in their early adolescence in the Galle educational zone; a descriptive cross sectional study

Introduction: Age ranging from 11 to 14 years is regarded as early adolescence. Females are p vulnerable to experience stress with rapid physical, psychological, cognitive and social changes accompanied in adolescence. Stress experienced in adolescence is linked with a range of adverse physical and psychological consequences. The study aimed to determine the level of stress and factors contributing to stress among female adolescents in the Galle educational zone, Sri Lanka. Methods: A school based cross - sectional study was conducted on female adolescents (11 - 14 years, n = 218). A self-administered socio-demographic questionnaire and psychosocial adversity scale were used to assess socioeconomic status and psychosocial adversities respectively. The Body Mass Index (BMI), waist hip ratio (WHR), waist height ratio (WHtR) and fat percentage (FM%) were calculated to assess the nutritional status. Adolescent Stress Questionnaire (ASQ), which measures 9 dimensions of stress, was used to assess stress. Results: Normal nutritional status was observed in 118 (54.1%) while 65 (29.8%) and 35(16.1%) adolescents were underweight and overweight respectively. A majority of adolescents (n = 158, 72.9%) were experiencing stress. An increased stress levels were observed for the domains of school attendance (n = 203, 93.1%), future uncertainty (n = 202, 92.7%), school performance (n = 185, 84.9%), emerging responsibility (n = 186, 85.3%), and conflict of school/leisure time (n = 178, 81.7%). Conclusions: Most adolescents considered future uncertainty and school attendance as the greatest stress inducing factors. Urgent measures to decrease stress levels amongst these adolescents need to be implemented.
The Influence of Return on Assets and Debt to Equity Ratio on Company Value

The value of the company is oriented towards the future of the company, so it is expected that every decision making must consider the value of the company. This study formulates several problems, namely the analysis of the values of return on assets and the ratio of debt to equity partially in increasing the Company Value of 11 business entities whose capital is all or partly owned by the government that has been listed on the Indonesia Stock Exchange for the Year 2017-2019. The author's purpose in conducting this research is to find out the values of return on assets and the ratio of debt to Equity to the company value. The quantitative approach used in this research is descriptive and verificative data analysis using classical assumptions including normality, autocorrelation, multicollinearity, heteroscedasticity, and hypothesis testing with multiple linear regression analysis. The results of this study found that Return on Assets has a significant effect on Company Value. The results of this study can be used as input and information about the implementation of Return on Assets and Debt to Equity Ratio which can be used as a basis for knowing the value of BUMN companies that have registered on the Indonesia Stock Exchange.
Gan-Based Super-Resolution and Segmentation of Retinal Layers in Optical Coherence Tomography Scans

In this paper, we design a Generative Adversarial Network (GAN)-based solution for super-resolution and segmentation of optical coherence tomography (OCT) scans of the retinal layers. OCT has been identified as a non-invasive and inexpensive modality of imaging to discover potential biomarkers for the diagnosis and progress determination of neurodegenerative diseases, such as Alzheimer’s Disease (AD). Current hypotheses presume the thickness of the retinal layers, which are analyzable within OCT scans, can be effective biomarkers. As a logical first step, this work concentrates on the challenging task of retinal layer segmentation and also super-resolution for higher clarity and accuracy. We propose a GAN-based segmentation model and evaluate incorporating popular networks, namely, U-Net and ResNet, in the GAN architecture with additional blocks of transposed convolution and sub-pixel convolution for the task of upscaling OCT images from low to high resolution by a factor of four. We also incorporate the Dice loss as an additional reconstruction loss term to improve the performance of this joint optimization task. Our best model configuration empirically achieved the Dice coefficient of 0.867 and mIOU of 0.765.
Media coverage of the novel Coronavirus (Covid-19) in Kenya and Tanzania: Content analysis of newspaper articles in East Africa

Abstract Abstract: This study uses the framing theory to analyse dimensions being conveyed in the coverage of COVID-19 in Kenya and Tanzania between February 2020 and April 2020. A quantitative analysis of the Daily Nation and Citizen newspapers showed different patterns of framing of the virus. Specifically, this analysis focuses on multiple frames used by the two newspapers with respect to the following topical categories: context, basic information, preventive information, treatment information, medical research, Social context, Economic context, Political context, personal stories and other. Although the Daily Nation published more stories than the Citizen Newspaper, only the frame personal stories were significantly higher in the Daily Nation compared to Citizen Newspapers.
GC–MS Investigation of Volatile Organic Compounds in Cosmetics Manufactured in South India

The volatile organic compounds (VOCs) in cosmetics pose a series threat to the environment and their exposure causes a variety of ailments in human beings. The present work analyses systematically the presence of VOCs in samples of cosmetic products available in open market such as, aftershave lotion, face cream, hair dye, lipsticks, perfumes, shampoos and talcum powders by GC–MS. The investigation revealed the prevalence of more than 158 hazardous volatile organic compounds (VOCs) out of 243 organic compounds in 20 samples of the cosmetic products. The detected VOCs fall into six major groups viz., alcohols, esters, ethers, carboxylic acids and amides. Among all the VOCs detected, diethyl phthalate is found to be present in majority of the samples, which could cause mild eye and skin irritations and affect the central nervous system depending on the dosage. The samples were also found to contain certain fatty acid methyl esters. The study suggests proper instructions on the labels of such products to warn the customers. Further, finding non-toxic alternatives to existing additives has also been emphasized.
A Novel Monarch Butterfly Optimization with Attribute based Encryption for Secure Public Cloud Storage

Cloud computing (CC) technology offers proficient exploitation of existing physical resources via virtualization where diverse users share the similar fundamental physical hardware infrastructure. Using the concepts of CC, a set of distributed, scalable, and elastic computing resources are supplied to client through the high-speed Internet. Conventional public key encryption techniques are employed to accomplish data confidentiality, but it could not result in better data sharing. At the same time, attributebased encryption (ABE) is developed as a significant method in achieving security and establish effective data communication in a simultaneous way. The ABE is a familiar cryptographic technique employed to save the user privacy data in CC. But it is not possible to use in cloud storage because of the computational complexity and decryption key leakage issue. Therefore, this paper presents a novel monarch butterfly optimization with attribute based encryption (MBO-ABE) technique for secure public cloud storage. The presented MBO-ABE technique aims to securely store the data in public cloud storage. ABE purposes to strengthen sensitive data secret in public cloud storage. For improving the security performance of the ABE technique, the MBO manner is applied to it which is based on the migration of monarch butterflies. A wide range of simulations are carried out to highlight the enhanced efficiency of presented MBO-ABE technique. The experimental values showcased that the MBO-ABE technique pointed out the maximum performance of the MBO-ABE technique over the recent state of art methods.
Computer-assisted image analysis of intratumoral vessel density in mammary tumors from dogs.

OBJECTIVE To determine whether intratumoral microvessel density can be used to distinguish benign from malignant mammary tumors in dogs and to predict the outcome of surgical treatment for small volume (< 3-cm diameter) tumors. SAMPLE POPULATION Tissue sections from 58 mammary tumors (42 malignant and 16 benign) from dogs. PROCEDURE Mammary tumors were stained by immunohistochemistry for factor VIII-related antigen. Computer-assisted image analysis was used to determine intratumoral vessel density in immunostained areas. Total vascular density (TVD), calculated from 3 non-overlapping fields, was analyzed for correlation with patient or tumor histomorphologic characteristics, and results obtained by surgical treatment of small volume tumors. RESULTS Mean TVD of malignant tumors was significantly greater than that of benign tumors. Total vascular density was not correlated with patient age, sex, reproductive status, clinical tumor stage, or histologic type. For small volume (< 3-cm diameter) malignant tumors, mean TVD was higher in tumors that recurred after surgery than in tumors that did not recur; however, TVD was not predictive of time to recurrence. CONCLUSION AND CLINICAL IMPLICATIONS Immunohistochemistry and computer-assisted image analysis allowed objective quantitation of intratumoral microvessel density in formalin-fixed, paraffin-embedded tissue sections. Tumors with high TVD were more likely to recur after surgical treatment than tumors with low TVD suggesting that TVD measurements can be used by the clinician, in addition to histologic type and clinical stage, to predict prognosis after surgical treatment. These data also provide rationale for use of antiangiogenesis strategies for treatment of malignant mammary tumors in dogs.
Integrating energy efficiency into private home repair, maintenance and improvement practice in England and Wales

ABSTRACT The energy performance of housing is a crucial element in plans for climate change mitigation, future energy supply and addressing energy poverty. The age of the UK housing stock, and its slow rate of replacement, indicate that attention needs to be focussed in particular on improving existing homes, a high proportion of which are private owner occupied. Thus, the improvements necessary to achieve carbon reductions will require both large scale investment and likely lead to significant disruption. The thriving home repair, maintenance and improvement market, delivered largely by small building trades companies and sole traders, offers practical opportunities and a potential route to market for such improvements. Set against the context of high-level strategic targets, this paper draws on qualitative research at the micro level and presents a framework for the changes that will be needed to enable this to happen in practice, as well as insights into current practice and the existing regime in which the industry operates. Through application of a multi-level perspective to this socio-technical challenge, the work identifies the levels at which such changes should occur, and uses the results to develop and identify key weaknesses and solutions to enable change.
LncRNA THRIL is involved in the proliferation, migration, and invasion of rheumatoid fibroblast-like synoviocytes

Background Fibroblast-like synoviocytes (FLSs), which can migrate and directly invade the cartilage and the bone, are crucial players in joint damage in rheumatoid arthritis (RA). Nevertheless, the detailed mechanisms underlying the aberrant activation of RA FLSs remain unclear. Several studies have attempted to explore the relationship between long non-coding RNAs (lncRNAs) and RA pathology; however, the role of lncRNAs in RA is unknown. The present study aimed to determine the functions of tumor necrosis factor-α and heterogeneous nuclear ribonucleoprotein L-related immunoregulatory lincRNA (THRIL) in RA FLSs migration and invasion. Methods Small interfering RNA targeting THRIL or lentivirus overexpressing THRIL was used to knockdown or overexpress THRIL. Quantitative reverse transcription polymerase chain reaction (PCR) was employed for the detection of RNA expression. The proliferation rate of RA FLSs was measured using a 5-ethynyl-2'-deoxyuridine (EdU) incorporation assay. Migration and invasion were detected using a transwell chamber. Downstream targets were identified using a human cell cycle real-time PCR array and a human cell motility real-time PCR array. Results A significant decrease in THRIL expression was found in RA FLSs compared with cells from healthy control (HC)patients. THRIL is mainly localized in the nucleus. Knockdown of THRIL increased the proliferation, migration, and invasion of RA FLSs. In contrast, THRIL overexpression had the opposite effect. THRIL knockdown increased interleukin-1β (IL-1β)-triggered expression of matrix metalloproteinase (MMP)-1, MMP-3, and MMP-13. THRIL overexpression led to a significant decrease in MMP-13 expression in response to stimulation with IL-1β. Furthermore, we observed that the expression levels of cyclin-dependent kinase 1 (CDK1) and G2 and S phase-expressed-1 (GTSE1), both of which are associated with cellular mobility and proliferation, were downregulated with THRIL overexpression. Conclusions Reduced expression of lncRNA THRIL represses the proliferation, migration, and invasion of RA FLSs, suggesting that lncRNA THRIL might be a potential target for RA therapy.
A New Method for Measuring the Behavioral Consistency Degree of WF-Net Systems

How to guarantee the consistency between different systems has become a bone of contention in model-driven software development. Behavioral relations are a prominent technique/method to analyze the consistency degree of two workflow systems. There are four kinds of behavioral relations, i.e., strict order relation, exclusiveness relation, interleaving order relation, and inverse order relation. An activity in a module may be in different behavioral relations with activities in another module. We call the latter module a special module in this article. However, the existing measuring methods for behavioral consistency do not consider special modules at all. Thus, if we conduct a consistency analysis of different systems by these methods, we may get an inaccurate consistency degree, or obtain no results. In order to solve this problem, we use workflow nets (WF-nets) to model workflow systems and re-explore their behavioral relations. Then, their behavioral relation matrices (BRMs) are constructed. Based on BRMs, some new measurement methods are proposed to calculate the behavioral consistency degree of two WF-net systems. Finally, a group of experiments is done to show the effectiveness of our methods.
The role of imaging in the diagnosis and management of idiopathic pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF) is a chronic progressive disease lacking a definite etiology, characterized by the nonspecific symptoms of dyspnea and dry cough. Due to its poor prognosis, imaging techniques play an essential role in diagnosing and managing IPF. High resolution computed tomography (HRCT) has been shown to be the most sensitive modality for the diagnosis of pulmonary fibrosis. It is the primary imaging modality used for the assessment and follow-up of patients with IPF. Other not commonly used imaging methods are under research, such as ultrasound, magnetic resonance imaging and positron emission tomography-computed tomography are alternative imaging techniques. This literature review aims to provide a brief overview of the imaging of IPF-related alterations.
Short term results comparison of antibiotic resistance in COPD patients with exacerbation

Aim: To obtain data which could be of guidance in the selection of empirical antibiotic treatment through bacteria isolation from sputum and antibiotic sensitivity tests in patients hospitalised because of exacerbation of chronic obstructive pulmonary disease (COPD). Materials and Methods: Sputum samples were induced before antibiotherapy in patients hospitalised because of COPD exacerbation. In addition to routine tests and infection markers, sputum cultures and antibiotic resistance tests were applied. Results: The study included 101 patients. Production was determined in the sputum cultures of 28 (27.7%) patients. In the group with bacteria isolated in the sputum, there was determined to be a high number of exacerbations in the last year, partial oxygen pressure (PaO2) was low, and procalcitonin (PCT), the neutrophil ratio, white blood cell count (WBC) and the modified Medical Research Council Dyspnea Score (mMRC) were found to be higher than in the patients with negative sputum (p<0.05). The three leading bacteria produced in the positive culture group were Streptococcus pneumonia,Pseudomonas aeruginosa and Acinetobacter spp. Conclusion: S. pneumoniae, P.aeroginosa and Acinetobacter spp. are still the most common organisms which were isolated in acute exacerbation of COPD in our country population. Ceftriaxone is still considered a highly sensitive and effective antibiotic drug against these common micro-organisms in our society, besides that procalcitonin value is the most useful tracking parameter for these patients. Consequently, intermittent surveillance regarding improving of resistance pattern for these common pathogens against commonly prescribed drugs is necessary.
Compensation Method of Position Estimation Error for High-Speed Surface-Mounted PMSM Drives Based on Robust Inductance Estimation

This article proposes a compensation method of position estimation error for high-speed surface-mounted permanent magnet synchronous motors based on robust inductance estimation. The proposed method relies on the variation of the estimated <inline-formula><tex-math notation="LaTeX">$\delta$</tex-math></inline-formula>-axis back back-electromotive force when a small current is injected into the <inline-formula><tex-math notation="LaTeX">$\gamma$</tex-math></inline-formula> axis. The inductance estimation error is limited within <inline-formula><tex-math notation="LaTeX">${\bf \pm \! 5\%}$</tex-math></inline-formula> when the nominal resistance and inductance vary <inline-formula><tex-math notation="LaTeX">$\bf \pm 30\%$</tex-math></inline-formula> of their real values. With the estimated inductance, the position estimation error can be well compensated. Compared with the conventional current-injection method, the proposed method has enhanced robustness against the system noises. Benefiting from this, it is effective to estimate the inductance with a small injected current (<inline-formula><tex-math notation="LaTeX">$ \bf 0.5\%$</tex-math></inline-formula> of the rated current), where the conventional methods fail. Finally, the effectiveness of the proposed method is validated by simulation and experiment results on a 100 kr/min (1.67 kHz) high-speed permanent magnet synchronous machines accurately with 10-kHz sampling frequency.