Miracle-dz/UniFAR-FTUs huggingface dataset:
Genome-Wide Screening and Stability Verification of the Robust Internal Control Genes for RT-qPCR in Filamentous Fungi

In real-time quantitative PCR (RT-qPCR), internal control genes (ICGs) are crucial for normalization. This study screened 6 novel ICGs: Pre-mRNA-splicing factor cwc15 (Cwf15); ER associated DnaJ chaperone (DnaJ); E3 ubiquitin-protein ligase NEDD4 (HUL4); ATP-binding cassette, subfamily B (MDR/TAP), member 1 (VAMP); Exosome complex exonuclease DIS3/RRP44 (RNB); V-type H+-transporting ATPase sub-unit A (V-ATP) from the 22-transcriptome data of 8 filamentous fungi. The six novel ICGs are all involved in the basic biological process of cells and share the different transcription levels from high to low. In order to further verify the stability of ICGs candidates, the six novel ICGs as well as three traditional housekeeping genes: β-actin (ACTB); β-tubulin (β-TUB); glyceraldehyde-3-phosphate dehydrogenase gene (GAPDH) and the previously screened reference genes: SPRY-domain-containing protein (SPRYp); Ras-2 protein (Ras); Vacuolar protein sorting protein 26 (Vps26) were evaluated by geNorm and NormFinder statistical algorithms. RT-qPCR of 12 ICGs were performed at different developmental stages in Flammulina filiformis and under different treatment conditions in Neurospora crassa. The consistent results of the two algorithms suggested that the novel genes, RNB, V-ATP, and VAMP, showed the highest stability in F. filiformis and N. crassa. RNB, V-ATP, and VAMP have high expression stability and universal applicability and therefore have great potential as ICGs for standardized calculation in filamentous fungi. The results also provide a novel guidance for the screening stable reference genes in RT-qPCR and a wide application in gene expression analysis of filamentous fungi.
Correlated factors with serum zinc levels of infertile male farmers in Larangan
district, Indonesia

One in five people in the world is at risk of zinc deficiency. In Indonesia, 77.48% of the population has zinc deficiency. Zinc deficiency causes sperm abnormalities, such as hypertrophy and hyperplasia of the fibrous sheath, axonal disorders, and abnormal midpiece. Serum zinc levels of infertile males were significantly lower than normal males. Factors causing a lack of serum zinc are inadequate dietary zinc intake and zinc absorption inhibitors. Serum zinc levels are influenced by unclear factors. The purpose of this study was to analyze the relationship between Body Mass Index (BMI), zinc, iron, protein, tannins and phytate intake with serum zinc levels of infertile male farmers in the Larangan district. This research was an observational study with a cross-sectional design. The sample selection used a total sampling technique of as many as 58 male infertile farmers. Data was collected through interviews using a food frequency semi-quantitative questionnaire, measurement of height using a microtoise, weighing using a digital stepping scale, and laboratory tests of venipuncture blood samples. Data analysis was performed using Pearson correlation and Spearman range. The average BMI of respondents was above the normal limit (26.09). The average zinc intake was 8.99 mg/ day, the average iron intake was 18.31 mg/day, the average protein intake was 85.71 g/ day, and the average tannin intake was 139.93 mg/day. The average phytate intake was 1147.73 mg/day and the average serum zinc level was 78.02 μg/dL. The bivariate analysis showed that there was no relationship between BMI (p-value = 0.29), zinc intake (p-value = 0.42), iron (p-value = 0.33), protein (p-value = 0.70), tannins (p-value = 0.19), and phytate (p-value = 0.63) with serum zinc levels. The average zinc intake of infertile male farmers was below the cut of nutritional adequacy rate. Infertile male farmers are advised to increase their consumption of animal zinc sources to make ends meet zinc intake per day.
Factors Affecting Fatigue among Nurses during the COVID-19 Pandemic

This study identified clinical nurses’ fatigue and related factors during the COVID-19 pandemic. This was a cross-sectional study. Data were collected from South Korean hospitals on 234 nurses’ general characteristics, fatigue, depression, occupational stress, insomnia, and perceived daytime sleepiness using a structured questionnaire. The prevalence of fatigue was 62.0%, depression 52.1%, insomnia 20.7%, and daytime sleepiness 36.1%. Insomnia, sleepiness, depression, and occupational stress were significantly associated with fatigue. Ward nurses who cared for COVID-19 patients within the past month had significantly higher occupational stress related to organizational climate than those who had not provided care, and ICU nurses who cared for COVID-19 patients had significantly higher job insecurity-related occupational stress. Nurses have a high prevalence of fatigue and depression during the pandemic. Thus, insomnia, sleepiness, depression, and occupational stress must be reduced to lower nurses’ fatigue. Caring for COVID-19 patients was not significantly associated with fatigue, but there were significant differences in occupational stress between nurses who provided such care and those who did not. Work environment-specific strategies are needed to reduce nurses’ occupational stress during the pandemic.
Pulsar Rotation Measures and the Large-Scale Magnetic Structure of the Milky Way

Faraday rotation measures (RMs) of polarised pulsar emissi on and extragalactic sources present the most efficient observable for determining the configurat ion of the magnetic field of the Galaxy, both in its plane and at high latitudes. Reconstructions of t he Galactic magnetic field (GMF) allow a deeper understanding of numerous astrophysical pro cesses in the interstellar medium and even of the cosmological microwave background. LOFAR (the L Ow Frequency ARray) will soon embark on an all-sky pulsar survey, which will return hu dreds of new pulsar discoveries. In addition, the High Time Resolution Universe survey is als o currently searching for pulsars, at higher frequencies. The subsequent RM data from any pulsa rs discovered in these surveys, together with the current sample, will provide unprecedent ed coverage of the Galactic plane and halo. We present our plans to select an appropriate sample of ulsar RMs for use with the powerful method of wavelet tomography. In addition, we show first simu lations of how additional RM values improve the wavelet-based reconstruction of the kpc -scale GMF.
Outcomes of General Internal Medicine Consultations for Diagnosis from Specialists in a Tertiary Hospital: A Retrospective Observational Study

Purpose The data on the diagnostic contribution of general internal medicine (GIM) consultations for undiagnosed health problems from specialists are scarce. This study aims to explore the role of generalists as diagnostic medicine consultants in tertiary care settings. Patients and Methods We conducted a retrospective observational study at a Japanese university hospital. GIM consultations for diagnosis from other departments on outpatients aged ≧ 20 years from January 2018 to December 2020 were included. Data were extracted from electronic medical records. The primary outcome was new diagnosis rates. The secondary outcomes were new diagnosis rates with clinical significance and clinical outcomes at 90 days from the index visit. Results A total of 328 patients were included. The top five consulting departments were orthopedics (17.0%), cardiovascular (10.3%), otorhinolaryngology (8.8%), neurology (8.8%), and gastroenterology (7.9%). GIM identified 456 chief complaints (CCs), and the top five were fever (10.9%), abnormal laboratory results (8.3%), fatigue (5.9%), and pain (7.4%) or numbness (4.6%) in the extremities. There were 139 (104/328 patients: 31.8%) specialty consultations from GIM, and the top five departments were rheumatology (21.1%), gastroenterology (19.2%), orthopedics (9.6%), psychiatry (9.6%), and neurology (9.6%). In total, 277 new diagnoses were established in 232 patients (70.7%), and 203 patients had new diagnoses with clinical significance (61.8%). Clinical outcomes at 90 days from the time of the index visit were resolution/improvement (60.7%), unchanged/worsened (22.3%), and unknown (17.0%). Conclusion Over 70% of GIM consultations from other departments established new diagnoses with favorable outcomes in >60% of the patients.
The impact of U.S. unions on productivity : a bootstrap meta-analysis

Resampling methods are used to calculate confidence limits in a metaanalysis of the association between unions and productivity for the population of U.S. studies. The available evidence points to a positive and statistically significant association between unions and productivity in the U.S. manufacturing and education sectors, of around 10% and 7%, respectively
Caminhos mais longos em grafos

The central theme of this paper is the study of problems related to longest paths in graphs, both from a structural and an algorithmic point of view. The ﬁrst part focuses on the study of problems motivated by the following question raised by T. Gallai in 1966: does every connected graph have a vertex common to all its longest paths? We brieﬂy discuss known results and present our contributions. In the second part, we investigate the problem of ﬁnding a longest path in a graph, which is NP -hard for arbitrary graphs. A full account of the results presented in this paper can be found in [de Rezende 2014].
Accuracy of Genomic Prediction of Yield and Sugar Traits in Saccharum spp. Hybrids

Genomic selection (GS) has been demonstrated to enhance the selection process in breeding programs. The objectives of this study were to experimentally evaluate different GS methods in sugarcane hybrids and to determine the prospect of GS in future breeding approaches. Using sugar and yield-related trait data from 432 sugarcane clones and 10,435 single nucleotide polymorphisms (SNPs), a study was conducted using seven different GS models. While fivefold cross-validated prediction accuracy differed by trait and by crop cycle, there were only small differences in prediction accuracy among the different models. Prediction accuracy was on average 0.20 across all traits and crop cycles for all tested models. Utilizing a trait-assisted GS model, we could effectively predict the fivefold cross-validated genomic estimated breeding value of ratoon crops using both SNPs and trait values from the plant cane crop. We found that the plateau of prediction accuracy could be achieved with 4000 to 5000 SNPs. Prediction accuracy did not decline with decreasing size of the training population until it was reduced below 60% (259) to 80% (346) of the original number of clones. Our findings suggest that GS is possibly a new direction for improving sugar and yield-related traits in sugarcane.
Distributed Resource Distribution and Offloading for Resource-Agnostic Microservices in Industrial IoT

Due to increase in real-time mobile applications and Industrial Internet-of-Things (IIoT) devices, the edge computing paradigm provides a systematic and eccentric platform for real-time Internet-of-Things applications. Though the paradigm provides an effective infrastructure, however the resource requirements of IIoT devices change radically with time, which is described as a resource-agnostic property. Therefore, the estimation of resource requirements of IIoT devices is a critical and resilient assignment. In addition, it requires an extensive amount of resources to process the data traffic flows and microservice offloading. Hence, we present RAISE, a novel resource-agnostic microservice offloading scheme for mobile IIoT devices. RAISE efficiently estimates the resource-agnostic nature of IIoT devices to maximize their resource utilization in the network. Based on the estimated resource requirement, we propose a resource-agnostic microservice offloading scheme to maximize the success rate. Extensive experiments show that RAISE provides better performance in terms of network throughput and Quality-of-Service (QoS) than the other existing methods, SDTO and DTOS, in terms of cost and reliability.
Computational Prediction of Inhibitors and Inducers of the Major Isoforms of Cytochrome P450

Human cytochrome P450 enzymes (CYPs) are heme-containing monooxygenases. This superfamily of drug-metabolizing enzymes is responsible for the metabolism of most drugs and other xenobiotics. The inhibition of CYPs may lead to drug–drug interactions and impair the biotransformation of drugs. CYP inducers may decrease the bioavailability and increase the clearance of drugs. Based on the freely available databases ChEMBL and PubChem, we have collected over 70,000 records containing the structures of inhibitors and inducers together with the IC50 values for the inhibitors of the five major human CYPs: 1A2, 3A4, 2D6, 2C9, and 2C19. Based on the collected data, we developed (Q)SAR models for predicting inhibitors and inducers of these CYPs using GUSAR and PASS software. The developed (Q)SAR models could be applied for assessment of the interaction of novel drug-like substances with the major human CYPs. The created (Q)SAR models demonstrated reasonable accuracy of prediction. They have been implemented in the web application P450-Analyzer that is freely available via the Internet.
Motivational interviewing empowerment program on self management in type 2 diabetes mellitus patients

Diabetes is a disease whose main factors are related to lifestyle, such as activity habits and eating patterns. This risk will increase in individuals with unrestrained hypertension. The purpose of this study was analyzing the motivational interviewing empowerment program for self-management in patients with type 2 diabetes mellitus. The kind this study used is Quasi Experiment with the form of Non-Randomized Control Group Pretest Posttest Design. The results of the exaimine in the intervention group showed that self-management of patients after being given Motivational Interviewing from all 30 respondents experienced an increase in self-management, with self-management scores before Motivational Interviewing ranging from 37-50 and after being given Motivational Interviewing ranging from 38-53. The results of further analysis obtained a Significance P-value of 0.000 (p<0.05). And the results of the study in the control group showed that the patient's self-management after being given leaflets from all respondents did not experience an increase in self-management. This is evidenced by the score of self-management before being given leaflets ranging from 32-50 and after being given leaflets ranging from 37-50. The results of further analysis obtained a Significance P-value of 0.126 (p<0.05). The motivational interviewing empowerment program can effectively improve self-management in diabetes management.
Signal reconstruction from the reassigned spectrogram

The problem of recovering the original time series from the time-frequency representation (TFR) created by the reassigned spectrogram is considered. It is shown that the original time series can be recovered (to within a multiplicative constant) given certain conditions on the overlap used to create the original short-time Fourier transform (ST-FT) upon which the reassigned spectrogram is based. The paper begins by recovering the phase of the ST-FT from the reassigned spectrogram, then proceeds to describe a method of reconstructing the original time series from knowledge of the phase of the ST-FT alone. The paper concludes by giving some examples of signals recovered from the reassigned spectrogram.
On the Quantification of Visual Texture Complexity

Complexity is one of the major attributes of the visual perception of texture. However, very little is known about how humans visually interpret texture complexity. A psychophysical experiment was conducted to visually quantify the seven texture attributes of a series of textile fabrics: complexity, color variation, randomness, strongness, regularity, repetitiveness, and homogeneity. It was found that the observers could discriminate between the textures with low and high complexity using some high-level visual cues such as randomness, color variation, strongness, etc. The results of principal component analysis (PCA) on the visual scores of the above attributes suggest that complexity and homogeneity could be essentially the underlying attributes of the same visual texture dimension, with complexity at the negative extreme and homogeneity at the positive extreme of this dimension. We chose to call this dimension visual texture complexity. Several texture measures including the first-order image statistics, co-occurrence matrix, local binary pattern, and Gabor features were computed for images of the textiles in sRGB, and four luminance-chrominance color spaces (i.e., HSV, YCbCr, Ohta’s I1I2I3, and CIELAB). The relationships between the visually quantified texture complexity of the textiles and the corresponding texture measures of the images were investigated. Analyzing the relationships showed that simple standard deviation of the image luminance channel had a strong correlation with the corresponding visual ratings of texture complexity in all five color spaces. Standard deviation of the energy of the image after convolving with an appropriate Gabor filter and entropy of the co-occurrence matrix, both computed for the image luminance channel, also showed high correlations with the visual data. In this comparison, sRGB, YCbCr, and HSV always outperformed the I1I2I3 and CIELAB color spaces. The highest correlations between the visual data and the corresponding image texture features in the luminance-chrominance color spaces were always obtained for the luminance channel of the images, and one of the two chrominance channels always performed better than the other. This result indicates that the arrangement of the image texture elements that impacts the observer’s perception of visual texture complexity cannot be represented properly by the chrominance channels. This must be carefully considered when choosing an image channel to quantify the visual texture complexity. Additionally, the good performance of the luminance channel in the five studied color spaces proves that variations in the luminance of the texture, or as one could call the luminance contrast, plays a crucial role in creating visual texture complexity.
Insight into the antioxidant activities of ten Fabaceae plant species that are medicinally used by the Aucan Tribal Peoples from the Republic of Suriname (South America)

Fabaceae are associated with a high antioxidant activity (AA) and a high total phenolic (TPC), total flavonoid (TFC), and selenium content (SeC). In this study, the aqueous extracts from ten Fabaceae species that are medicinally used by the Aucan Tribal Peoples from Suriname (South America), were evaluated for AA using a DPPH and a FRAP assay, and for TPC, TFC, and SeC using Folin-Ciocalteu’s, an AlCl3 colorimetric, and an azure B-based method. Associations between pairs of these variables were determined by Pearson correlation coefficient. One-way ANOVA with post-hoc Tukey’s test was used to evaluate the data for statistically significant differences (p < 0.05). The I. stipularis (bark), C. guyanensis (bark), A. jupunba (twigs), and M. urens (fruit) extracts had the highest DPPH IC50 values (36 – 70 μg/mL) and FRAP values (346 – 573 μM FeE/100 μg) and the highest TPC (25 – 41 GAEq/100 μg), TFC (21 – 39 REq/100 μg), and SeC (4 −17 μg/g). The values for the T. indica (leaf), P. macroloba (bark), M. pigra (whole plant), S. quinquangulata (leaf), A. sensitiva (whole plant), and L. leucocephala (leaf) extracts were > 10-fold lower. AA, TPC, TFC, and SeC correlated well with each other (correlation coefficient ≥ 0.83, p ≤ 0.0030). Thus, AA, TPC, TFC, and SeC may represent important determinants of the health benefits of the former four samples but not of the others. Future studies should focus on the precise contribution of AA, TPC, TFC, and SeC to the therapeutic value of medicinal Fabaceae.
Cluster of Gamma-ray Bursts - Image of a Source. Catalog of Clusters (Sources) of Gamma-ray Bursts

The clusters of gamma-ray bursts are considered which are assumed to be images of the repeated gamma-ray burst (GRB) sources. It is shown, that localization of the cosmic gamma-ray burst sources (GBS) is determined by the clusters of GRBs. About 100 candidates in sources are presented in the form of the catalog, which is compiled relying on the base of the BATSE data up to middle of 2000. Gamma-ray bursts (from 5 to 13) of a cluster that display a source do not coincide in their position. The catalog table containing basic information about the GRB sources yields the possibility to research the GBS properties and their identification. The birth of GRBs in the clusters allows predicting the appearance of GRBs both in time and space. Most general properties of the supposed GRB sources are discussed. An attempt to compile the first GRB source catalog is made.
Social capital-based financial literacy to improve business performance: a narrative review

MSMEs typically do not comprehend the financial products provided by financial institutions. This harms corporate performance. This study's objective is to examine the role of financial literacy based on social capital, the function of financial literacy in the business performance of MSMEs, and the impact of social capital in enhancing business performance. The Scale guides the writing of narrative reviews for the Assessment of Narrative Review Articles. The article's notability is determined independently by examining the title and abstract. Articles were searched using the databases of Google Scholars, Science Direct, Emerald, Taylor Francis, and SciFinder with the keywords' financial literacy', 'social capital,' 'business performance,' 'MSMEs,' 'microenterprises,' 'finance,' and 'civic organizations. The results show that high financial iterations both help entrepreneurs in making financial decisions well and have a positive effect on business performance. If MSME owners are 'blind' to the organization's finances, insufficient financial knowledge will have implications for a decrease in the ability to compete, loss of access to financing sources, and failure of MSMEs. A high level of social capital can make it easier for people to work together in related fields and help the MSME sector and business performance.
A Short Overview of Recent Developments in the Application of Polymeric Materials for the Conservation of Stone Cultural Heritage Elements

Stones are ones of the most ancient natural materials exploited by humans, with different uses, from tools to buildings, that have endured over time in better conditions than other objects belonging to cultural heritage. Given the importance of those silent witnesses of our past, as well as our duty to preserve all parts of cultural heritage for future generations, much effort was put into the development of materials for their consolidation, protection, self-cleaning, or restoration. Protection of ancient stone monuments and objects has gained the interest of researchers in the last decades in the field of conservation of cultural heritage. In this respect, the present paper aims to be a critical discussion regarding potential polymeric materials, which can be used in restorative and conservative approaches for stone materials of cultural heritage importance, against physical degradation phenomena. Recent advances in this area are presented, as well as the current bottle-necks and future development perspectives.
Interplanetary Charged Particle Environments

Current state-of-the-art knowledge of the solar wind, solar particle events, and galactic cosmic rays is reviewed for the development of space vehicle design criteria based on these interplanetary environments. These criteria are described quantitatively in terms of intensity, flux and fluence, and their dependences on time, position and energy, and the associated probabilities and related parameters, for electrons, protons and other ions.