Miracle-dz/UniFAR-FTUs huggingface dataset:
Cantilever Supported Fiber Bragg Grating Flow Sensor for Space Applications

In this article we report design, mathematical formulation, simulation and fabrication of fiber optic flow sensor using fiber Bragg gratings (FBG) mounted on a cantilever-based transducer support. Design, fabrication and material parameters are optimized in a way that the sensor is operational even at higher flow velocities and finds potentially capable of determining flow rate in rocket fuel tanks for space applications. The reported cantilever supported FBG flow sensor based on simulation results has shown sensitivity to flow rates ranging from 0.1 m/s to as high as 10 m/s flow velocities with varied fuels ranging from liquid hydrogen with density 70.99 kg/m3 to Dinitrogen tetroxide with density 1110 kg/m3. Effect of flow rate is simulated and experimented by placing different weights on the disc and the wavelength shift corresponding to the weights from the designed sensor are recorded. It is observed that the experimental results matched with simulation results to around 50-60%. Flow sensor fabricated is thermally, electrically stable and with its minimal weight finds its extensive use in space applications.
GAN-Based Enhanced Deep Subspace Clustering Networks

In this paper, we propose two GAN-based deep subspace clustering approaches: deep subspace clustering via dual adversarial generative networks (DSC-DAG) and self-supervised deep subspace clustering with adversarial generative networks (S<inline-formula><tex-math notation="LaTeX">$^2$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="yu-ieq1-3025301.gif"/></alternatives></inline-formula>DSC-AG). In DSC-DAG, the distributions of both the inputs and corresponding latent representations are learnt via adversarial training simultaneously. Besides, there are two kinds of synthetic representations to facilitate the fine-tuning of the encoder: the combinations of latent representations with random combination coefficients and representations of real-like inputs derived from noise variables. In S<inline-formula><tex-math notation="LaTeX">$^2$</tex-math><alternatives><mml:math><mml:msup><mml:mrow/><mml:mn>2</mml:mn></mml:msup></mml:math><inline-graphic xlink:href="yu-ieq2-3025301.gif"/></alternatives></inline-formula>DSC-AG, a self-supervised information learning module substitutes for adversarial learning in the latent space, since both of them play the same role in learning discriminative latent representations. We analyze connections between these methods and demonstrate their equivalences. We conduct extensive experiments on multiple real-world data sets against state-of-the-art subspace clustering methods in terms of accuracy, normalized mutual information and purity. Experimental results demonstrate the effectiveness and superiority of our proposed methods.
Diagnóstico de emprendedores en una zona de post-acuerdo: (Putumayo) en Colombia

Through the participation in the Third Macro Conference for Reconciliation in Putumayo (Department of Colombia), a series of regional needs have been identified in the areas of production, accounting, brand development, marketing, and customer loyalty. These needs arise from different conditions such as the long distances to the main cities, difficult access to training, few opportunities to work along with government agencies in improving the development of activities, among others, that end up hinder the efforts and work of the entrepreneurs. In light of these factors, it was developed from October 2018 to May 2019, an advisory initiative to link entrepreneurs and academicist with companies of emerging regions that needed assistance and counseling. This research was developed following the principles of the Action Research methodology, identifying the problem in order to devise a work plan to strengthen the entrepreneurs. Firstly, the status of the entrepreneurs’ soft skills was examined, and then their enterprises characterized. The results were obtained from visits to the department of Putumayo and the application of these two instruments.
A STUDY SAFETY AWARENESS AMONG WAREHOUSE WORKERS IN PASIRGUDANG INDUSTRIAL AREA

The main objective of this study is to determine the effectiveness of safety awareness. The data was collected from 24 respondents at 6 different companies at PasirGudang Industrial Area. The data was analysed by using Correlation. Result shows that there is a relationship between employees attitudes, management practices and safety features towards level of awareness. It shows that employees attitudes, management practices and safety features influence the effectiveness of safety awareness.
Conjugation Dynamics of Self-Transmissible and Mobilisable Plasmids into E. coli O157:H7 on Arabidopsis thaliana Rosettes

Many antibiotic resistance genes present in human pathogenic bacteria are believed to originate from environmental bacteria and conjugation of antibiotic resistance conferring plasmids is considered to be one of the major reasons for the increasing prevalence of antibiotic resistances. A hotspot for plasmid-based horizontal gene transfer is the phyllosphere, i.e. the surfaces of aboveground plant parts. Bacteria in the phyllosphere might serve as intermediate hosts with transfer capability to human pathogenic bacteria. In this study, the exchange of mobilisable and self-transmissible plasmids via conjugation was evaluated. The conjugation from the laboratory strain E. coli S17-1, the model phyllosphere colonizer Pantoea eucalypti 299R, and the model pathogen E. coli O157:H7 ∆stx to the recipient strain E. coli O157:H7∷MRE1O3 ∆stx in the phyllosphere of Arabidopsis thaliana was determined. The results suggest that short-term occurrence of a competent donor is sufficient to fix plasmids in a recipient population of E. coli O157:H7∷MRE1O3 ∆stx. The spread of self-transmissible plasmids was limited after initial steep increases of transconjugants that contributed up to 10% of the total recipient population. The here-presented data of plasmid transfer will be important for future modelling approaches to estimate environmental spread of antibiotic resistance in agricultural production environments. Importance This study investigated the transfer of antibiotic resistance conferring plasmids to enteropathogenic E. coli on plant leaf surfaces. The results indicate that plasmid transfer may be high within the first 24 hours after inoculation. Transconjugant populations are maintained and stable for a considerable time frame on plant leaves, but invasion of the plasmid to the recipient population is limited.
Individual and Situational Antecedents of Counterproductive Work Behaviors

Counterproductive work behaviors (CWB) are harmful to organizations and detrimental to individual and collective performance. Although CWB have been considerably explored in the last decades, few studies have tried to assess the relative influence of their predictors. In this paper, we develop and test a structural equations model to evaluate the combined effects of two personality traits (agreeableness and neuroticism) and two situational variables (perceived organizational justice and leader-member exchange quality) on CWB. The analysis of data collected from 527 employees of a large Brazilian organization shows that agreeableness, neuroticism, and leader-member exchange quality (LMX) have direct effects on CWB and that LMX fully mediates the influence of organizational justice on the latter. Our findings extend previous models that looked into the Justice-LMX-CWB relationships and highlight the critical role played by leaders in preventing deleterious behaviors. We discuss their implications for research, as well as for human resource management (HRM) practice.
A chemical kinetic basis for measuring translation initiation and elongation rates from ribosome profiling data

Analysis methods based on simulations and optimization have been previously developed to estimate relative translation rates from next-generation sequencing data. Translation involves molecules and chemical reactions; hence, bioinformatics methods consistent with the laws of chemistry and physics are more likely to produce accurate results. Here, we derive simple equations based on chemical kinetic principles to measure the translation-initiation rate, transcriptome-wide elongation rate, and individual codon translation rates from ribosome profiling experiments. Our methods reproduce the known rates from ribosome profiles generated from detailed simulations of translation. Applying our methods to data from S. cerevisiae and mouse embryonic stem cells we find that the extracted rates reproduce expected correlations with various molecular properties. A codon can exhibit up to 26-fold variability in its translation rate depending upon its context within a transcript. This broad distribution means that the average translation rate of a codon is not representative of the rate at which most instances of that codon are translated. We also find that mouse embryonic stem cells have a global translation speed of 5.2 AA/s, is similar to what has been previous reported using another analysis method. This large variability in translation rates suggests that translational regulation might be used by cells to a greater degree than previously thought.
Pesticide Exposure and Chronic Kidney Disease Among Agricultural Workers

Pesticides are chemicals that are widely used in many areas of life, especially in agriculture. There is always a risk of toxicity if agricultural workers do not have sufficient knowledge and experience about the use of pesticides and preventive measures are inadequate. In the literature, there are references to acute toxic effects of pesticides as well as their chronic effects, such as cancer, diabetes, high blood pressure, cardiovascular diseases, and neurological disorders. In addition to these chronic effects, early-onset and rapidly developing chronic kidney disease has been reported in agricultural workers over the past two decades, which progresses to end-stage renal disease. The renal biopsies that have been performed on these patients showed chronic tubulointerstitial changes. This disease, observed in agricultural workers, is either referred to as “Chronic Kidney Disease of unknown cause (CKDu)” or "Mesoamerican nephropathy," in reference to the region where it was first identified. It is argued that heat stress and pesticides play an active role in its etiology. From this point of view, countries with high pesticide use that are affected by climate change are referred to as "countries in the risk group". The use of pesticides is increasing in Turkey, which is also adversely affected by climate change caused by global warming. Greenhouse workers in particular are more exposed to heat stress and pesticides, since they work in a closed environment. Therefore, preventive measures and awareness are particularly important in these regions, as the disease progresses without symptoms.
Studying the Factors Affecting the State of Cattle Hoof Horn

| In this study, we evaluated the incidence of necrobacteriosis in cattle based on the environmental factors and climatic features in the Udmurt Republic. the distal extremities pathology structure in cattle was determined in several farms of the Udmurt Republic, where an average of 25-27.5% of the animals had musculoskeletal lesions. The dynamics of the necrobacillosis epizootic process in cattle were studied from 2011 to 2016 and the highest incidence rates were recorded in 2015 with 8.86%. Our results revealed that the pathology of the gastrointestinal tract, in particular, disruption of the microbiocenosis of the rumen and subacute and chronic enter colitis, in combination with unbalanced feeding, affected the degree of damage to the hoof horn. Likewise, the level of metabolic disorders in animals with lesions of the hoof horn was determined. The relationship between the environmental factors, climatic characteristics in the Udmurt Republic, pathology of the gastrointestinal tract, unbalanced feeding and the degree of lesion of the hoof horn has been established.
Comparison of multiple methods for induction of necrotic enteritis in broilers. I

SUMMARY A variety of necrotic enteritis (NE) research methodologies exist in the literature, many with components that do not represent standard industry practices. The models tested here aimed to investigate multiple NE methods that represent common broiler production systems. Two preliminary experiments compared Eimeria maxima (EM) plus NetB‐negative Clostridium perfringens (CP) and NetB‐positive CP (CPB), and showed decreased BW gain (BWG) relative to non‐challenge negative control (NC; P ≤ 0.05) across NE models, but no difference in NE lesion scores. Experiments 3 and 4 tested 2 EM strains (EMG or EMM6), CP, 3 CPB strains, washed CPB, or supernatant from washed CPB to determine the impact of NetB toxin when birds consumed a standard corn‐soy diet. Groups with predisposing EM had the largest decrease in BWG (‐19.50 to ‐28.35%) compared to the NC in experiment 3. Experiment 4 showed similar trends in EM groups with ‐20.88 to ‐22.09% change in BWG (P ≤ 0.05). Minimal % change in BWG occurred in all CPB groups, with less than 10% decrease. Increasing the amount of CP in feed to 2 L/d for 4 consecutive days resulted up to 17% decrease in BWG (P ≤ 0.05), but lesion scores were not significantly different than NC. When administered in the absence of EM, CP, regardless of the presence of NetB gene and inoculum, did not cause clinical NE in these experiments. A predisposing factor, such as EM, was required for development of clinical signs, gross macroscopic lesions, and decreased BWG when broilers were fed a standard diet.
Recommendation Algorithm Based on Probabilistic Matrix Factorization with Adaboost

: A current problem in diet recommendation systems is the matching of food preferences with nutritional requirements, taking into account individual characteristics, such as body weight with individual health conditions, such as diabetes. Current dietary recommendations employ association rules, content-based collaborative filtering, and constraint-based methods, which have several limitations. These limitations are due to the existence of a special user group and an imbalance of non-simple attributes. Making use of traditional dietary recommendation algorithm researches, we combine the Adaboost classifier with probabilistic matrix factorization. We present a personalized diet recommendation algorithm by taking advantage of probabilistic matrix factorization via Adaboost. A probabilistic matrix factorization method extracts the implicit factors between individual food preferences and nutritional characteristics. From this, we can make use of those features with strong influence while discarding those with little influence. After incorporating these changes into our approach, we evaluated our algorithm’s performance. Our results show that our method performed better than others at matching preferred foods with dietary requirements, benefiting user health as a result. The algorithm fully considers the constraint relationship between users’ attributes and nutritional characteristics of foods. Considering many complex factors in our algorithm, the recommended food result set meets both health standards and users’ dietary preferences. A comparison of our algorithm with others demonstrated that our method offers high accuracy and interpretability.
Endogenous Vertical Structure and Trade Policy in an Import-competing Market with Fulfilled Expectations

This paper examines the endogenous determination of vertical organization structure (i.e., vertical integration or separation) when an optimal import tariff is implemented in an import - competing market, where one home firm and one foreign firm engage in price competition under network externalities. The optimal import tariff is higher when the foreign exporting firm is vertically separated than when it is integrated. If firms commit to vertical organization before trade policy, then the for eign firm chooses vertical integration but home firm chooses vertical separation (integration) if network externalities are weak (strong). In addition, the behavior of home firm in a relatively low network externalities is inconsistent with social opti -mum.
Prognostic Role of Preoperative Circulatory Immune Cells and ratio of Neutrophil-to-Lymphocyte, Platelet-to-Lymphocyte and Lymphocyte-to-Monocyte in Women with Breast Cancer of Saurastra, Gujarat Re

Cancer is one of the frequently talked and most feared diseases that have evolved, rather rapidly in the past two decades. Breast cancer, a multifactorial disease is the second most common malignancy related mortality among women worldwide. Routine diagnosis for breast cancer is usually done by mammography and histopathology, but current research data suggest that other non-disease specific biomarkers such as protein profiling, tumor specific hormones, hematocrit, serum proteins etc are also hypothesized to be associated with overall health outcome of the patients and can serve as a supplementary parameter to predict overall prognosis of the patients. The present study concerns about relative analysis of Hematocrit and WBC parameters among patients at the time of diagnosis along with the examination of ratio of Neutrophil-to-Lymphocyte (NLR), Platelet-to-Lymphocyte (PLR) and Lymphocyte-to-Monocyte (LMR) by fully automated clinical biochemistry analyzer and its correlation with other socio-demographic factors prevalent among the patients. For this purpose, preoperative blood samples of breast cancer patients were collected from Rajkot Cancer Hospital and results were compared with age and sex matched healthy volunteers. The present study conclude that high NLR ratio in 27%, high PLR ratio in 7.81 % and low LMR ratio in 14.75% of patients was obtained among the studied population. KeywordsBreast Cancer, Socio-demographic, WBC, NLR, PLR, LMR, prognosis
Effect of the bovine TG5 gene polymorphism on milk- and meat-producing ability

Aim: This study aimed to determine the effect of thyroglobulin (TG5) gene polymorphism on milk and meat productivity in the various cattle breeds currently bred in the Republic of Bashkortostan. Materials and Methods: The test was performed on dairy cattle of Black-and-White, Bestuzhev, and Simmental breeds, and meat cattle of Hereford and limousine breeds. The purpose of the test was to search for associations between the polymorphic alleles of the thyroglobulin (TG5) gene and economically useful traits. Results: All studied breeds showed a frequency predominance of the TG5C allele (from 0.56 to 0.71). A clear trend of an effect of the genotypes of the TG5 gene on milk-productivity indicators was revealed; cows with the TG5TT genotype have the highest milk yield and fat content in milk. The milk of cows of Bestuzhev and Simmental breeds that possessed this genotype was also characterized by higher protein content. Conclusion: We identified an effect of the polymorphism of the TG5 gene in the Hereford and limousine breeds on fat metabolism intensity indicators, such as fat output and fat content, in the longissimus muscle and in the general sample of ground beef.
Alternative Transcription of Peroxisome Proliferator-Activated Receptor Gamma in the Liver Is Associated with Fatness of Chickens

The expression of four transcription variant of peroxisome proliferatoractivated receptor gamma gene (PPARG) (XM_015292931.1; XM_015292932.1; XM_015292933.1 and NM_001001460.1) in the liver of broilers was measured and its correlation with abdominal fat weight and relative abdominal fat content was investigated. The study was conducted with 92 slow-growing crossbred chickens (Cobb males x indigenous Green-legged Partridge female chickens) divided into “fat” and “lean” groups, according to their abdominal fat yield. The NM_001001460. 1 transcriptwas upregulated with ratio of means 4.26 (p≤0.01) in the “fat” group in relation to the “lean” group. Expression of this transcript was highly correlated with relative abdominal fat content (0.71, p≤0.01) and abdominal fat weight (0.59, p≤0.01). Two SNPs are located in putative transcription factor binding sites. Mutation -991C>A disrupts PPAR while mutation -884C>T disrupts C/EBP putative binding site. The gene expression analysis of PPARg showed that the expression of the transcripts (NM_001001460.1) was more than four times higher in fat than in lean chickens. These results point out that the peroxisome proliferator-activated receptor gamma NM_001001460. 1 transcript could be candidate gene for determination of abdominal fat deposition in the chickens.
Contrasting water use patterns of two important agroforestry tree species in the Mt Elgon region of Uganda

ABSTRACT Lack of information on water use of key agroforestry species is an obstacle to understanding their influence on crop productivity. Cordia africana and Albizia coriaria are the dominant tree species of smallholder farming systems in the Mt Elgon region of Uganda and have multiple uses in agroforestry systems. This study deployed six sap flow meters on stems of three selected trees each of C. africana and A. coriaria on-farm. The objective of the study was to assess the daily water use patterns of these agroforestry tree species at different times of the year. We measured the daily sap flow of these two species using the heat ratio method over a period of 18 months. There was a significant main effect of the interaction between tree species and season on daily water use. The two species show contrasting patterns of seasonal water use across leaf shedding stages characterised by episodes of reverse flow in A. coriaria at specific periods of the year. We propose that reverse flows in A. coriaria were triggered by leaf shading while the zero flows in C. africana, which occurred during rainfall events, could have resulted from a lag phase, an indication that the two species may have different water-use strategies. Although C. africana uses 12–15 l day−1 and A. coriaria uses 20–32 l day−1 based on the study trees, C. africana generally uses 12% more water than A. coriaria on a standardised daily basis. Albizia coriaria exhibited radial variation of sap velocities between the inner and outer thermocouples at different periods of measurement, a phenomenon worth investigating further. The leaf shedding patterns of the two trees provide an opportunity for maximising the temporal complementarities of agroforestry systems where these trees exist. This knowledge of C. africana and A. coriaria tree water use provides critical insight for developing successful long-term tree monitoring and management programs in agroforestry systems.
Indicators of Fish Freshness: Total Volatile Acids and Bases

Total Volatile Acids (TVA) and Total Volatile Bases (TVB) are principal spoilage indicators monitored to determine the degradation of the fish muscle tissue. This study seeks to monitor the TVA and TVB concentrations using a Flow Injection Analysis – Gas Diffusion (FIA-GD) method on Scomberomorus brasiliensis (Carite). Samples were purchased from Supermarket operators (Single and Chain); fishmongers (who will ply their trade in the mornings and evenings); and fresh fish muscle tissue stored at -15°C, 1°C, and 29°C over a 12-month period. All the fish samples in this study, except twelve samples stored at 29°C, should be considered highly edible (TVA < 220 ppm and 200 ppm < TVB < 600 ppm). Analysis of variance tests (α=0.05) on the data indicated that there are significant differences among the values measured for the other locations or storage conditions. Samples from Single- and Chain- operator supermarkets were about the same levels of TVA and TVB, but these are different from those observed for the highway fishmongers' samples (AM and PM). Higher TVA and TVB concentrations observed at higher storage temperature (29°C).