Miracle-dz/UniFAR-FTUs huggingface dataset:
Impact of Using Oilseed Industry Byproducts Rich in Linoleic and Alpha-Linolenic Acid in Ruminant Nutrition on Milk Production and Milk Fatty Acid Profile

Simple Summary The fatty acid composition of milk fat plays a crucial role in determining the nutritional quality of milk because particular fatty acids can have positive or negative influences on human health. Production of milk with a lower content of saturated fatty acids, and a higher content of unsaturated fatty acids, particularly n-3 fatty acids, is preferable due to their beneficial effects on health. Additionally, a higher level of rumenic and vaccenic acid in milk is desirable, as these fatty acids are believed to impart health-related properties. Manipulating animal nutrition proves most effective in achieving the desired milk fatty acid composition, with the inclusion of unconventional feed ingredients like oilseed processing byproducts being a successful strategy for modifying milk fatty acid profiles. This review provides a comprehensive overview of the existing 41 research studies regarding the incorporation of hemp, pumpkin, sunflower, camelina, and linseed byproducts into the nutrition of dairy cows, sheep, and goats, and their influence on milk production traits and milk fatty acid composition. This review concludes that, overall, the selected oilseed byproducts exhibit promising potential to improve the fatty acid profile of milk, with no adverse effects on milk production and composition. Abstract Milk contains more than 400 different fatty acids, some of which play a positive role in promoting human health. The profile of fatty acids in milk can be enhanced by providing animals with plant-based resources that possess feeding characteristics adequate for favorable changes in the fatty acid composition and increasing healthy fatty acids in milk. This review summarizes the available 41 research studies on the utilization of oilseed industry byproducts rich in linoleic acid (hemp, pumpkin, sunflower) and alpha-linolenic acid (camelina and linseed) in dairy cow, sheep, and goat nutrition; their impact on milk production characteristics; and potential to improve fatty acid composition of milk through the diet. This review illustrates that incorporating byproducts into the diet for dairy ruminants generally does not have any adverse effects on both milk production and composition. A similar trend of improvement in milk fatty acid profile was observed when ruminants were fed diets supplemented with camelina, linseed, and sunflower byproducts, while no significant changes were noted with pumpkin byproducts. Hempseed byproducts showed potential for use as an alternative ingredient in dairy ruminant diets. Nevertheless, more in-depth research investigating the inclusion of selected byproducts is required before valid conclusions can be drawn regarding their value.
Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) has recently been focused on extracting more knowledge from the reward signal to improve sample efficiency. The Multi-Reward Architecture (MRA) achieves this by breaking down the original reward function into multiple sub-reward branches and training a source-specific policy branch for each one. However, existing MRAs treat all source-specific policy branches as equally important or assign a constant level of importance based on current task conditions, which hinders DRL agents from prioritizing the most important branch at different task stages. Additionally, this necessitates a manual and time-consuming reset of weights for each branch when task conditions change. Thus, it is crucial to automate the time-varying importance assignment for branches. We propose a generic MRA approach to achieve this goal, which can be applied to improve state-of-the-art (SOTA) MRA methods. Firstly, we add a policy branch corresponding to the original reward function, allowing MRA to learn from each sub-reward branch without losing the experience provided by the original reward. Then, we apply the Asynchronous Advantage Actor Critic (A3C) algorithm to learn time-varying weights for all policy branches. These weights are then shaped into a one-hot vector to select the suitable policy branch for producing an action. Extensive experiments have demonstrated that the proposed method effectively improves three SOTA MRA methods across four tasks in terms of episode reward, success rate, score difference, and episode duration.
Biogeography of scorpion communities in the southern Carnarvon Basin, Western Australia

Ten scorpion species of four genera were recorded from 61 quadrats positioned through the 75 000 km 2 study area, and sampled continuously over a 12 month period (114000 trap nights). An average of 3.1 species were recorded per quadrat. Analysis of the data matrix revealed that species abundance patterns related to various climatic and soil attributes, particularly soil texture, while assemblage composition conformed with annual average precipitation.
LncRNA PRKCA-AS1 promotes LUAD progression and function as a ceRNA to regulate S100A16 by sponging miR-508-5p

Objective: This study aimed to elucidate the underlying mechanism of LncRNA PRKCA-AS1 in lung adenocarcinoma (LUAD). Methods: The expression of LncRNA PRKCA-AS1, miR-508-5p and S100A16, in LUAD tissues or cell lines (NCI-H520 and H1299) was analyzed with qRT-PCR. The clinical diagnostic value of LncRNA PRKCAAS1, miR-508-5p and S100A16 in LUAD were analyzed by receptor operating characteristic (ROC) curve. Then we knockdown or overexpression of PRKCAAS1 in NCI-H520 and H1299 cells, and the cell function test was applied to detect the activity and metastasis level of cells in different transfection groups. Then Pearson correlation analysis was used for the correlation between miR-508-5p and PRKCA-AS1. The dual-luciferase reporter experiment and CHIRP analysis was conducted to verify the target binding relationship of PRKCA-AS1, miR-508-5p or S100A16. FISH assay analyzed the colocalization of PRKCA-AS1 and miR-508-5p in NCI-H520 and H1299 cells. Rescue experiment and tumorigenesis experiment in nude mice further explore the regulatory mechanisms of LncRNA PRKCA-AS1, miR-508-5p and S100A16 on LUAD progression in vitro and in vivo. Results: From the results, PRKCA-AS1 and S100A16 were up-regulated in LUAD tissues, while miR-508-5p was downregulated compared with the adjacent tissues. And gain-of-function revealed that PRKCA-AS1 knock-down apparently suppressed the cell proliferation and metastasis, whereas miR-508-5p inhibitors or S100A16 overexpression showed a opposite effect. In addition, there is evidence that PRKCA-AS1, miR-508-5p and S100A16 have a targeted regulatory relationship. Moreover, rescue experiment and tumorigenesis experiment in nude mice further confirmed that LncRNA PRKCA-AS1 regulates S100A16 through sponging miR-508-5p to regulate LUAD progression in vitro and in vivo. Conclusion: These results demonstrated that LncRNA PRKCA-AS1 might regulate LUAD by acting as a ceRNA via sponging miR-508-5p and regulating S100A16 expression, indicating that manipulation of PRKCA-AS1 might be a potential therapeutic strategy in LUAD.
Prevalence, Awareness, and Management of Carpal Tunnel Syndrome Among Diabetic Patients

Background: Carpal tunnel syndrome (CTS) is a common condition that can significantly affect the quality of life for individuals, particularly those with diabetes. This study aims to examine the severity of CTS symptoms among diabetic patients and explore the associations between demographic factors, diabetic characteristics, knowledge, and management approaches. Methodology: A cross-sectional study was conducted among diabetic patients, and data were collected using standardized questionnaires. The incidence and severity of CTS were assessed using the Boston Carpal Tunnel Questionnaire (BCTQ). Demographic information, diabetic characteristics, knowledge of CTS, and management approaches were also recorded. Descriptive statistics and inferential analysis were performed to analyze the data. Results: The study included 303 participants. The majority of the participants were aged 50 or older (44.9%) (N=136), followed by those aged 39-49 (24.4%) (N=74). In terms of gender, there were more female participants (61.4%) (N=186) than male participants (38.6%) (N=117). Older age groups exhibited higher mean BCTQ scores, suggesting increased severity. Females had significantly higher severity scores compared to males (mean BCTQ score of 17.52 vs 15.56). Regarding diabetic characteristics, complications in the eye and pain/numbness in the legs or feet were significantly associated with higher severity scores of CTS (P=0.0001). The study revealed a knowledge gap among diabetic patients about CTS, with inadequate knowledge about its causes, symptoms, consequences, and treatment options among 68.6% of the patients. The use of medical interventions such as splints, injections, and surgery was associated with higher severity scores. Conclusion: This study highlights the incidence and severity of CTS symptoms among diabetic patients and its associations with demographic factors, diabetic characteristics, knowledge, and management approaches. Older age, female gender, widowed, diabetic complications in the eye, and pain/numbness in the legs or feet were found to be related to increased severity of CTS. Additionally, inadequate knowledge about CTS was observed among diabetic patients.
Mycobacterium avium ssp. paratuberculosis and Crohn’s Disease—Diagnostic Microbiological Investigations Can Inform New Therapeutic Approaches

Mycobacterium avium ssp. paratuberculosis (MAP) is the cause of Johne’s disease (JD), which is a chronic infectious gastrointestinal disease of ruminants and is often fatal. In humans, MAP has been associated with Crohn’s disease (CD) for over a century, without conclusive evidence of pathogenicity. Numerous researchers have contributed to the subject, but there is still a need for evidence of the causation of CD by MAP. An infectious aetiology in CD that is attributable to MAP can only be proven by bacteriological investigations. There is an urgency in resolving this question due to the rising global incidence rates of CD. Recent papers have indicated the “therapeutic ceiling” may be close in the development of new biologics. Clinical trial outcomes have demonstrated mild or inconsistent improvements in therapeutic interventions over the last decades when compared with placebo. The necessity to revisit therapeutic options for CD is becoming more urgent and a renewed focus on causation is essential for progress in identifying new treatment options. This manuscript discusses newer interventions, such as vaccination, FMT, dietary remediation and gut microbiome regulation, that will become more relevant as existing therapeutic options expire. Revisiting the MAP theory as a potential infectious cause of CD, rather than the prevailing concept of an “aberrant immune response” will require expanding the current therapeutic programme to include potential new alternatives, and combinations of existing treatments. To advance research on MAP in humans, it is essential for microbiologists and medical scientists to microscopically detect CWDM and to biologically amplify the growth by directed culture.
Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network

Precipitation downscaling is widely employed for enhancing the resolution and accuracy of precipitation products from general circulation models (GCMs). In this study, we propose a novel statistical downscaling method to foster GCMs’ precipitation prediction resolution and accuracy for the monsoon region. We develop a deep neural network composed of a convolution and Long Short Term Memory (LSTM) recurrent module to estimate precipitation based on well-resolved atmospheric dynamical fields. The proposed model is compared against the GCM precipitation product and classical downscaling methods in the Xiangjiang River Basin in South China. Results show considerable improvement compared to the European Centre for Medium-Range Weather Forecasts (ECMWF)-Interim reanalysis precipitation. Also, the model outperforms benchmark downscaling approaches, including (1) quantile mapping, (2) the support vector machine, and (3) the convolutional neural network. To test the robustness of the model and its applicability in practical forecasting, we apply the trained network for precipitation prediction forced by retrospective forecasts from the ECMWF model. Compared to the ECMWF precipitation forecast, our model makes better use of the resolved dynamical field for more accurate precipitation prediction at lead times from 1 day up to 2 weeks. This superiority decreases with the forecast lead time, as the GCM’s skill in predicting atmospheric dynamics is diminished by the chaotic effect. Finally, we build a distributed hydrological model and force it with different sources of precipitation inputs. Hydrological simulation forced with the neural network precipitation estimation shows significant advantage over simulation forced with the original ERA-Interim precipitation (with NSE value increases from 0.06 to 0.64), and the performance is only slightly worse than the observed precipitation forced simulation (NSE = 0.82). This further proves the value of the proposed downscaling method, and suggests its potential for hydrological forecasts.
Molecular Characterization and Subtyping of Breast Cancer Cell Lines Provide Novel Insights into Cancer Relevant Genes

Continuous cell lines are important and commonly used in vitro models in breast cancer (BC) research. Selection of the appropriate model cell line is crucial and requires consideration of their molecular characteristics. To characterize BC cell line models in depth, we profiled a panel of 29 authenticated and publicly available BC cell lines by mRNA-sequencing, mutation analysis, and immunoblotting. Gene expression profiles separated BC cell lines in two major clusters that represent basal-like (mainly triple-negative BC) and luminal BC subtypes, respectively. HER2-positive cell lines were located within the luminal cluster. Mutation calling highlighted the frequent aberration of TP53 and BRCA2 in BC cell lines, which, therefore, share relevant characteristics with primary BC. Furthermore, we showed that the data can be used to find novel, potential oncogenic fusion transcripts, e.g., FGFR2::CRYBG1 and RTN4IP1::CRYBG1 in cell line MFM-223, and to elucidate the regulatory circuit of IRX genes and KLF15 as novel candidate tumor suppressor genes in BC. Our data indicated that KLF15 was activated by IRX1 and inhibited by IRX3. Moreover, KLF15 inhibited IRX1 in cell line HCC-1599. Each BC cell line carries unique molecular features. Therefore, the molecular characteristics of BC cell lines described here might serve as a valuable resource to improve the selection of appropriate models for BC research.
HB-EGF Plasmatic Level Contributes to the Development of Early Risk Prediction Nomogram for Severe COVID-19 Cases

(1) Background: Heparin-Binding Epidermal Growth Factor-like Growth Factor (HB-EGF) is involved in wound healing, cardiac hypertrophy, and heart development processes. Recently, circulant HB-EGF was reported upregulated in severely hospitalized COVID-19 patients. However, the clinical correlations of HB-EGF plasma levels with COVID-19 patients’ characteristics have not been defined yet. In this study, we assessed the plasma HB-EGF correlations with the clinical and paraclinical patients’ data, evaluated its predictive clinical value, and built a risk prediction model for severe COVID-19 cases based on the resulting significant prognostic markers. (2) Methods: Our retrospective study enrolled 75 COVID-19 patients and 17 control cases from May 2020 to September 2020. We quantified plasma HB-EGF levels using the sandwich ELISA technique. Correlations between HB-EGF plasma levels with clinical and paraclinical patients’ data were calculated using two-tailed Spearman and Point-Biserial tests. Significantly upregulated parameters for severe COVID-19 cases were identified and selected to build a multivariate logistic regression prediction model. The clinical significance of the prediction model was assessed by risk prediction nomogram and decision curve analyses. (3) Results: HB-EGF plasma levels were significantly higher in the severe COVID-19 subgroup compared to the controls (p = 0.004) and moderate cases (p = 0.037). In the severe COVID-19 group, HB-EGF correlated with age (p = 0.028), pulse (p = 0.016), dyspnea (p = 0.014) and prothrombin time (PT) (p = 0.04). The multivariate risk prediction model built on seven identified risk parameters (age p = 0.043, HB-EGF p = 0.0374, Fibrinogen p = 0.009, PT p = 0.008, Creatinine p = 0.026, D-Dimers p = 0.024 and delta miR-195 p < 0.0001) identifies severe COVID-19 with AUC = 0.9556 (p < 0.0001). The decision curve analysis revealed that the nomogram model is clinically relevant throughout a wide threshold probability range. (4) Conclusions: Upregulated HB-EGF plasma levels might serve as a prognostic factor for severe COVID-19 and help build a reliable risk prediction nomogram that improves the identification of high-risk patients at an early stage of COVID-19.
Gut Microbiota and Biomarkers of Endothelial Dysfunction in Cirrhosis

Our aim was to study the association of endothelial dysfunction biomarkers with cirrhosis manifestations, bacterial translocation, and gut microbiota taxa. The fecal microbiome was assessed using 16S rRNA gene sequencing. Plasma levels of nitrite, big endothelin-1, asymmetric dimethylarginine (ADMA), presepsin, and claudin were measured as biomarkers of endothelial dysfunction, bacterial translocation, and intestinal barrier dysfunction. An echocardiography with simultaneous determination of blood pressure and heart rate was performed to evaluate hemodynamic parameters. Presepsin, claudin 3, nitrite, and ADMA levels were higher in cirrhosis patients than in controls. Elevated nitrite levels were associated with high levels of presepsin and claudin 3, the development of hemodynamic circulation, hypoalbuminemia, grade 2–3 ascites, overt hepatic encephalopathy, high mean pulmonary artery pressure, increased abundance of Proteobacteria and Erysipelatoclostridium, and decreased abundance of Oscillospiraceae, Subdoligranulum, Rikenellaceae, Acidaminococcaceae, Christensenellaceae, and Anaerovoracaceae. Elevated ADMA levels were associated with higher Child–Pugh scores, lower serum sodium levels, hypoalbuminemia, grade 2–3 ascites, milder esophageal varices, overt hepatic encephalopathy, lower mean pulmonary artery pressure, and low abundance of Erysipelotrichia and Erysipelatoclostridiaceae. High big endothelin-1 levels were associated with high levels of presepsin and sodium, low levels of fibrinogen and cholesterol, hypocoagulation, increased Bilophila and Coprobacillus abundances, and decreased Alloprevotella abundance.
Synthesis and Cytotoxic Evaluation of Glucoconjugated Ethylmompain Derivatives

Quinone-carbohydrate conjugates of ethylmompain, a pigment of the sea urchin Echinothrix diadema, and its chlorinated analog were synthesized. The cytotoxic activity and contraceptive properties of the synthesized compounds have been investigated using the sperm and eggs of the sea urchin Strongylocentrotus intermedius.
IAU Commission 25, and the development of early photometric systems

Abstract The International Astronomical Union was conceived in 1918, and was formed one year later in Brussels. One of the 32 initial Commissions was the Committee on Stellar Photometry that later on became IAU Commission 25 Astronomical Photometry and Polarimetry, and since 2015 Commission B6 with the same name. The initial functions to be exercised by the Committee were (a) to advise in the matter of notation, nomenclature, definitions, conventions, etc., and(b) to plan and execute investigations requiring the cooperation of several observers or institutions. The basic philosophy was that IAU Commission 25 was to be an advisory body, rather than a decision-making committee that imposes its regulations. This position was reconfirmed at the 10th IAU General Assembly in 1958. From the early days on, the Commission members engaged in the teaching of the principles of photometric measurement – either via the Commission meetings and the ensuing reports, or via external means, such as lectures and publications. The topics of instruction dealt with absorption of light in the atmosphere, the modification imposed by the character of the receiving apparatus, the unequal response of different receivers to a same stimulus, and variations in the data-recorder response from one experiment to another. From the 1930s on it was suggested that IAU Commission 25 takes responsibility in matters of standard stars, standard filters and standard calibration methods. During the first half-century since its foundation, Commission 25 was an active forum for discussions on the basic principles of astronomical photometry, including the associated problems of transformability of magnitudes and colour indices from one instrumental configuration to another. During the second half-century of its existence, the Commission has served as a sort of news agency reporting on the developments in detector engineering, filter technology and data reduction. All along the Commission members were committed to accuracy and precision, a struggle that was primarily driven by the jumps forward in performance and sensitivity of every new detector that was introduced. The development over one century shows that the Commission was continuously touching on the philosophy of precise measurement, where accurate measuring – for a select group of pioneers – was an end in itself. This presentation looks back on the opinions of key players in the photometric standardisation debate, and briefly presents two case studies that illustrate the illusionary accuracy reached over a century in determining, as Commission member Ralph Allan Sampson put it, “a detail like magnitude”.