Miracle-dz/UniFAR-FTUs huggingface dataset:
JAK1/2 Inhibitor Baricitinib Improves Skin Fibrosis and Digital Ulcers in Systemic Sclerosis

Background Systemic sclerosis (SSc) is a rare disabling connective tissue disease with few available treatment options. Diffuse cutaneous systemic sclerosis (dcSSc) is associated with high mortality. A previous experiment has shown that JAK2 inhibitor can significantly improve skin fibrosis in bleomycin (BLM)-induced murine model, including reducing dermal thickening and collagen accumulation. We aimed to describe the efficacy of oral JAK1/2 inhibitor baricitinib in SSc patients, especially focusing on skin fibrosis and microvascular manifestations. Methods We described the different effects of oral selective JAK1, JAK2, or JAK3 inhibitor treatment in a BLM-induced skin fibrosis mouse model. Furthermore, 10 adult patients with dcSSc were treated with baricitinib. We assessed the changes in modified rodman skin score (mRSS) and digital ulcer net burden at week 12 and 24 from baseline. We also compared the absolute changes in scores on the Scleroderma Health Assessment Questionnaire (SHAQ) and a total score on the St. George's Respiratory Questionnaire (SGRQ) over a 24-week period. Results In the experimental mouse model of skin fibrosis, a JAK1 and JAK2 inhibitor ameliorated skin fibrosis, and a JAK2 inhibitor had the most obvious effect. Treatment with the JAK2 inhibitor also blunted the capillary rarefaction. We demonstrated that skin fibrosis and digital ulcers were significantly relieved in 10 SSc patients treated with baricitinib. The mRSS significantly improved at week 12 from baseline, with a mean change in mRSS of −8.3 [95% confidence interval (CI), −12.03 to −4.574; p = 0.0007] and improved greater at week 24 to −11.67 (95% CI, −16.84 to −6.496; p = 0.0008). Among the four patients with digital ulcers (DU), three were completely healed at week 24, the number of ulcers in another patient was significantly reduced, and there was no patient with new ulcers. Only one adverse event (AE) of herpes zoster was observed. Conclusions Our results indicate that selective JAK1 and JAK2 inhibitor alleviates skin fibrosis, and oral JAK1/2 inhibitor baricitinib is a potentially effective treatment for dcSSc patients with skin fibrosis and DU. Baricitinib was well-tolerated by most patients in this study. Additional large clinical trials are needed to confirm our pilot findings. Chinese Clinical Trial Registry Number ChiCTR2000030995.
Increased Orbital Muscle Fraction Diagnosed by Semi-Automatic Volumetry: A Risk Factor for Severe Visual Impairment with Excellent Response to Surgical Decompression in Graves’ Orbitopathy

Graves’ orbitopathy (GO) leads to increased orbital tissue and causes symptoms such as exophthalmos, functional complaints, or dysthyroid optic neuropathy. Different GO types with fat and/or muscle enlargement were identified, and increased muscle appears to particularly influence visual status and treatment response. The current study examines visual parameters dependent on orbital muscle volume fraction in a surgically treated GO cohort. After volumetric analysis of the preoperative orbital content, 83 orbits in 47 patients were categorized into predefined groups (increased or not-increased muscle fraction). All cases underwent pterional orbital decompression, and pre- and postoperative visual status was retrospectively analyzed. Forty-one orbits revealed increased and 42 orbits revealed not-increased muscle volume (mean fraction 29.63% versus (vs.) 15.60%). The preoperative visual acuity (VA) was significantly lower in orbits with increased vs. not-increased muscle volume (mean VA 0.30 vs. 0.53, difference 2.5 lines). After surgery, mean VA improved significantly by 1.7 lines in orbits with increased muscle volume. Not preoperative, but postoperative exophthalmos was significantly lower in orbits with not-increased muscle volume. Increased orbital muscle is associated with significantly reduced VA, but can be remarkably improved by pterional orbital decompression. Therefore, surgical therapy should be considered particularly in decreased VA with orbital muscle enlargement.
Prognostic Value of Cancer-Associated Fibroblast-Related Gene Signatures in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) is a global health challenge with an increasing incidence worldwide. Cancer-associated fibroblasts (CAFs) function critically in HCC initiation and development. However, the prognostic significance of CAF-related gene signatures in HCC remains unknown. Therefore, the specific functions of CAF-related genes in HCC were investigated to help develop potential therapeutic strategies. In this study, CAF-related genes were screened from three CAF-related gene sets. HCC data from the Gene Expression Omnibus (GEO) database was applied to verify the screened CAF-related genes. Cluster analysis was used to identify clusters based on the expression pattern of CAF-related genes and two identified clusters were found to have a significant difference in overall survival (OS) and progression free intervals (PFI). The prognosis of HCC patients was predicted using the prognostic risk score model developed based on HCC data from The Cancer Genome Atlas (TCGA) databases. High-risk group patients had a worse OS than those in low-risk group in TCGA. These results were validated in International Cancer Genome Consortium (ICGC) database. Moreover, combining the clinicopathological characteristics related to prognosis with the model, a nomogram was built for a more accurate prediction of OS of HCC patients. In addition, analyses of immune infiltration characteristics of tumor microenvironment (TME), chemosensitivity, and immunotherapy response were conducted to further evaluate the prognostic value of CAF-related genes. Patients with low-risk scores were found to have higher chemosensitivity to cisplatin, doxorubicin, and sorafenib. Individuals with high-risk scores were found with a higher expression of most immune checkpoints which indicated patients with high-risk scores may benefit more from treatment with immune checkpoint inhibitors. Furthermore, a correlation between immune infiltration characteristics of TME and patients with different risk levels was found. These findings provide a possibility for the further development of personalized treatments in HCC.
Drug scheduling for nurses in prescriptions at sentinel hospital

This study was aimed at identifying the distribution profile of intravenous medicine schedules and analyzing potential severe interactions due to the scheduling. A cross-sectional study with documentary analysis was undertaken. Approval was obtained from the ethics committee of the hospital where the research was developed between January and April 2008. The sample consisted of 135 prescriptions with 1847 doses. Results showed an average of 8.8 doses per prescription (±1.05) and 17.6 (±0.9) at the emergency and intensive care service, respectively. Scheduling was predominant in the evening hours (57.11%) in both sectors. Forty-three severe interactions were found, with a prevalence rate of 1.85 and an odds ratio of 5.7, in prescriptions with more than five drugs. The prevalent drugs involved in interactions with a potential for serious injury were sodium phenytoin, vancomycin and ranitidine hydrochloride. It is concluded that the prevalent scheduling within four hours favors the appearance of interactions even in prescriptions with up to five drugs. DESCRIPTORS: Drug interactions. Nursing. Intensive care. Emergencies.
Anthropometric Markers, Visceral Adipocyte Index, Inflammation Markers and Bone Density in Reproductive Obese Women

Background: Obesity has been associated with the risk of various diseases. The correlation between anthropometry and bone health is complex. Visceral adipocyte index (VAI) is one of the compositions of body fat compositions that mostly associated with proinflammatory cytokine, which can stimulate C- reactive protein (CRP) that affects bone density.Objectives: This study aimed to prove the correlation between VAI, CRP and BMD in Asian reproductive obese womenMaterials and Methods: A cross sectional study was conducted in November 2020 - February 2021 and a total of 134 women of reproductive age with obesity participated in this study. Weight, height, body mass index (BMI) and rate of visceral fat were measured by body composition analyzer. Waist (WC) and hip circumferences (HC) measured by using tape; lipid profile and CRP level were examined using a clinical chemistry automatic analyzer, and the examination of bone mineral density (BMD) using dual-energy x-ray absorptiometry. Waist to hip ratio (WHR)and VAI calculated manually. Pearson and Spearman test were used for statistical analysis.Results: There were positive weak correlations between weight, height, BMI, WC, HC, rate of visceral fat, WHR and VAI. There were weak positive correlations between HC, WHR and CRP. There were positive moderate correlations between weight, height, BMI, waist, visceral fat, WHR and CRP. Conclusion: Although there were correlations between anthropometric parameters and VAI and also CRP, but we did not found correlation between VAI and CRP to all BMD parameters.
BMC Cell Biology

Background: In this paper, we present and validate a way to measure automatically the extent of cell migration based on automated examination of a series of digital photographs. It was designed specifically to identify the impact of Second Hand Smoke (SHS) on endothelial cell migration but has broader applications. The analysis has two stages: (1) preprocessing of image texture, and (2) migration analysis. Results: The output is a graphic overlay that indicates the front lines of cell migration superimposed on each original image, with automated reporting of the distance traversed vs. time. Expert preference compares to manual placement of leading edge shows complete equivalence of automated vs. manual leading edge definition for cell migration measurement. Conclusion: Our method is indistinguishable from careful manual determinations of cell front lines, with the advantages of full automation, objectivity, and speed.
Identificação dos usuários segundo nível de satisfação nos módulos gerontológicos empregando a análise de conglomerados

The aim of this study was to identify groups of users according to their degree of satisfaction with geriatric care services and determine the primary factors associated with satisfaction. This was a cross-sectional study of 181 people enrolled in 36 modules pertaining to the State Workers Social Security Institute (ISSSTE) in Mexico. Degree of satisfaction was measured according to the following three areas: general characteristics of services offered, friendliness of staff and infrastructure. A cluster analysis was performed to identify groups of users according to their level of satisfaction, and an ordinal logistic regression model was used to determine the associated factors. Fifty-three percent were satisfied with the services, 34.3% were fairly satisfied and 12.7% were dissatisfied. The main characteristics associated with a greater degree of satisfaction were being female, older and the head of household. The health system must address this growing population and ensure the development of quality care to meet their needs.
Short-Term PV Power Forecasting Using a Regression-Based Ensemble Method

One of the most critical aspects of integrating renewable energy sources into the smart grid is photovoltaic (PV) power generation forecasting. This ensemble forecasting technique combines several forecasting models to increase the forecasting accuracy of the individual models. This study proposes a regression-based ensemble method for day-ahead PV power forecasting. The general framework consists of three steps: model training, creating the optimal set of weights, and testing the model. In step 1, a Random forest (RF) with different parameters is used for a single forecasting method. Five RF models (RF1, RF2, RF3, RF4, and RF5) and a support vector machine (SVM) for classification are established. The hyperparameters for the regression-based method involve learners (linear regression (LR) or support vector regression (SVR)), regularization (least absolute shrinkage and selection operator (LASSO) or Ridge), and a penalty coefficient for regularization (λ). Bayesian optimization is performed to find the optimal value of these three hyperparameters based on the minimum function. The optimal set of weights is obtained in step 2 and each set of weights contains five weight coefficients and a bias. In the final step, the weather forecasting data for the target day is used as input for the five RF models and the average daily weather forecasting data is also used as input for the SVM classification model. The SVM output selects the weather conditions, and the corresponding set of weight coefficients from step 2 is combined with the output from each RF model to obtain the final forecasting results. The stacking recurrent neural network (RNN) is used as a benchmark ensemble method for comparison. Historical PV power data for a PV site in Zhangbin Industrial Area, Taiwan, with a 2000 kWp capacity is used to test the methodology. The results for the single best RF model, the stacking RNN, and the proposed method are compared in terms of the mean relative error (MRE), the mean absolute error (MAE), and the coefficient of determination (R2) to verify the proposed method. The results for the MRE show that the proposed method outperforms the best RF method by 20% and the benchmark method by 2%.
Cytotoxicity of Lentinus isolates mycelial extracts on human colorectal carcinoma HCT-116 cells

Medicinal mushrooms are considered as potent natural sources for drug discovery and are of great interest in anticancer research worldwide. The cytotoxicity of rich macrofungal diversity in the Philippines remains to be largely unexplored. One of the macrofungal groups is Lentinus . Lentinus species (Polyporaceae, Basidiomycota) are wood-rotting mushrooms that naturally growing solitary or more often in groups on water-soaked logs, woods, and trunks of trees. They are important resources of functional food and bioactive metabolites. The present work evaluated the cytotoxicity of the ethanolic extracts of mycelia of the 15 Lentinus isolates against two cancer cell lines, human colorectal carcinoma (HCT-116) and hepatocellular carcinoma (HepG2), and one normal cell line, HK-2 normal kidney epithelial using the MTS proliferation assay. All Lentinus mycelial extracts showed concentration-dependent cytotoxicity against HCT-116. The IC 50 values of mushroom extracts ranged from 242.75 to 444.79 µg ml −1 for HCT-116 colon cancer cells. Among the mushroom extracts, Lentinus strigosus CL-01 extract was the most potent with the lowest IC 50 value, whereas Lentinus sajor-caju LSCBot extract registered the highest IC 50 value. On the other hand, extracts were not cytotoxic to HepG2 and HK-2 cell lines with less than 50% cytotoxicity indices. Therefore, the mycelia of 15 Lentinus isolates tested can be considered as potential sources of cytotoxic compounds for colon cancer. However, furtherance of the cytotoxicity and other bioactivity profiling of Lentinus mycelial extracts is highly recommended.
Characterizing the KRAS G12C mutation in metastatic colorectal cancer: a population-based cohort and assessment of expression differences in The Cancer Genome Atlas

Introduction: In metastatic colorectal cancer (mCRC), RAS mutations impart inferior survival and resistance to anti-epidermal growth factor receptor (EGFR) antibodies. KRAS G12C inhibitors have been developed and we evaluated how KRAS G12C differs from other RAS mutations. Patients and Methods: This retrospective review evaluated patients in British Columbia, Canada with mCRC and RAS testing performed between 1 January 2016 and 31 December 2018. Sequencing information from The Cancer Genome Analysis (TCGA) was also obtained and analysed. Results: Age at diagnosis, sex, anatomic location and stage at diagnosis did not differ by RAS mutation type. Progression free survival on first chemotherapy for patients with metastatic KRAS G12C tumours was 11 months. Median overall survival did not differ by RAS mutation type but was worse for both KRAS G12C (27 months) and non-G12C alterations (29 months) than wildtype (43 months) (p = 0.01). Within the TCGA, there was no differential gene expression between KRAS G12C and other RAS mutations. However, eight genes with copy number differences between the G12C and non-G12C RAS mutant groups were identified after adjusting for multiple comparisons (FITM2, PDRG1, POFUT1, ERGIC3, EDEM2, PIGU, MANBAL and PXMP4). We also noted that other RAS mutant mCRCs had a higher tumour mutation burden than those with KRAS G12C mutations (median 3.05 vs 2.06 muts/Mb, p = 4.2e–3) and that KRAS G12C/other RAS had differing consensus molecular subtype distribution from wildtype colorectal cancer (CRC) (p < 0.0001) but not each other (p = 0.14). Conclusion: KRAS G12C tumours have similar clinical presentation to other RAS mutant tumours, however, are associated with differential copy number alterations.
MoADNet: Mobile Asymmetric Dual-Stream Networks for Real-Time and Lightweight RGB-D Salient Object Detection

RGB-D Salient Object Detection (RGB-D SOD) aims at detecting remarkable objects by complementary information from RGB images and depth cues. Although many outstanding prior arts have been proposed for RGB-D SOD, most of them focus on performance enhancement, while lacking concern about practical deployment on mobile devices. In this paper, we propose mobile asymmetric dual-stream networks (MoADNet) for real-time and lightweight RGB-D SOD. First, inspired by the intrinsic discrepancy between RGB and depth modalities, we observe that depth maps can be represented by fewer channels than RGB images. Thus, we design asymmetric dual-stream encoders based on MobileNetV3. Second, we develop an inverted bottleneck cross-modality fusion (IBCMF) module to fuse multimodality features, which adopts an inverted bottleneck structure to compensate for the information loss in the lightweight backbones. Third, we present an adaptive atrous spatial pyramid (A2SP) module to speed up the inference, while maintaining the performance by appropriately selecting multiscale features in the decoder. Extensive experiments are conducted to compare our method with 15 state-of-the-art approaches. Our MoADNet obtains competitive results on five benchmark datasets under four evaluation metrics. For efficiency analysis, the proposed method significantly outperforms other baselines by a large margin. The MoADNet only contains 5.03 M parameters and runs 80 FPS when testing a $256\times 256$ image on a single NVIDIA 2080Ti GPU.
The Effect of Short Story Extensive-Reading on EFL Reading Attitudes of the Secondary School Student

This study intends to investigate the effect of short story extensive reading on secondary school students’ EFL reading attitudes. This is an experimental study using a one-grouppretest-treatment-posttest design. The sample was 35 students, who were taken randomly from 355 Students of twelve classes in the second grade of SMAN 4 Samarinda. The researchers used a questionnaire as the instrument in this study. The questionnaire was used to obtain the data on students’ reading attitudes. To analyze the data, a series of paired t-tests and descriptive statistics were used. The results revealed that firstly, overall aspect, the short story-extensive reading gave an effect on the EFL secondary school students’ reading attitudes, t (34)= -1.229, p=0.003. Secondly, in detail per an aspect of attitude, the short story-extensive reading gave an effect on the comfort aspect in the students’ reading attitudes, t (34)= -3.610, p=0.001, the linguistic value aspect, t (34)= 0.463, p=0.646, and the anxiety aspect, t (34)= -3.762, p=0.001; In the meantime, the short story-extensive reading did not give an effect on the intellectual value aspect in the students’ reading attitudes, t (34)= -0.269, p=0.789 and the practical value aspect, t (34)= -0.179, p=0.859. Reading short stories brings about the students into a relaxed circumstance from which EFL secondary school students can browse ideas freely and excitingly. This study implies that such reading materials can be used by secondary school EFL teachers to give more reading input-rich circumstances, which finally becomes an enhancement of their reading attitudes. Keywords:EFL Reading attitude, Secondary school student, E-short story extensive-reading
Habilidades musicales y cognitivas en niños/as de entornos desfavorecidos

Human beings are born with several abilities which are amenable to change. A growing number of studies have focused on the relations between musical and cognitive abilities but research with children from disadvantaged communities is scarce. This study explored the relations between musical and cognitive abilities in disadvantaged children. Participants were 169 children from deprived neighborhoods, attending the second year of primary education in public schools that do not offer music education. Children’s musical abilities (perception) were measured with the Melody, Rhythm, and Memory tests of Montreal Battery for the Evaluation of Musical Abilities and their cognitive abilities, with five WISC-III subtests (Similarities, Vocabulary, Cubes, Picture Arrangement, and Digits). Parental level of education was obtained from a questionnaire on the socio-economic status of children’s families. Results revealed (1) few and weak correlations between musical and cognitive abilities; (2) stronger correlations of Socioeconomic Status (SES) with cognitive than with musical abilities; (3) digit span predicts all musical abilities; 4) a clear factorial distinction between musical and cognitive abilities. Overall, results suggest that disadvantaged children’s musical and cognitive abilities, as measured by the present instruments, are partly independent regarding processing components.
A quality by design approach for the optimization of olmesartan medoxomil-orodispersible lyophilisates: In vitro/in vivo evaluation

The current study aims to develop orodispersible lyophilisates (ODLs), containing olmesartan medoxomil (OLM), by applying a quality by design approach to ensure product robustness. A thorough risk assessment study was done, where the effects of each of the types of matrix former and superdisintegrant were assessed on the drug content, friability %, cumulative drug released within 15 minutes ( Q 15 %), disintegration time, and wetting time. This was followed by a D-optimal design, for the optimization of the ODL. The optimization study focused on studying the effects of the solubilizer concentration ( X 1 ) and solubilizer type ( X 2 ) on the disintegration time ( Y 1 ) and Q 15 % ( Y 2 ). A design space was created with an optimized formula, OLM-ODL, which was prepared and tested to indicate the validity of the design. The optimized formula showed fast drug release with a short disintegration time. Further characterization tests were done on OLM-ODL, as morphological examination, which showed a highly porous nature. Infrared spectroscopy showed no incompatibility. The extent of OLM absorption from the optimized ODL compared to oral OLM suspension from a pharmacokinetic study. The ODL showed an enhancement of the relative bioavailability of the optimized formula of about 345%. Thus, ODLs were successfully developed using a quality by design approach with noticeably improved biopharmaceutical performance.