Miracle-dz/UniFAR-FTUs huggingface dataset:
Coliform mastitis in dairy cows in Thanjavur region

Bovine mastitis are caused by wide range of microorganisms. A high proportion of all clinical mastitis is caused by Gram-negative bacteria, mostly coliforms, including Escherichia coli, Enterobacter and Klebsiella. The present study investigated the prevalence of coliform mastitis causing organisms in dairy cows with mastitis brought to the Veterinary Clinical Complex, Veterinary College and Research Institute, Orathanadu. Milk samples were collected in sterile containers from 140 cows with mastitis for isolation and identification of coliforms followed by antibiotic resistance study. Briefly, the collected milk samples were enriched and streaked onto selective medium and identified using biochemical tests. The study revealed E. coli and Klebsiella as common etiological agents in this region with prevalence of 25.7% and 18.6%, respectively. E. coli isolates were maximum resistant to methicillin whereas Klebsiella isolates were maximum resistant to ampicillin. Since coliforms are considered as environmental contaminants, good hygiene practices during milking process, teat dipping, fly control and dry cow therapy could reduce the prevalence of coliform mastitis.
Effects of social media overload on academic performance: a stressor–strain–outcome perspective

ABSTRACT As an emerging phenomenon, social media overload has become prevalent among students and led to significant negative consequences. Based on the stressor–strain–outcome model, this study argues that three kinds of overload (information, communication, and social overloads) can influence two psychological strains (technostress and exhaustion) among students and thus affect their behavioral outcome (academic performance). The model is empirically tested through an online survey of 249 Chinese university students who use social media. Results indicate that the three types of social media overload are significant stressors that create technostress, but solely information overload significantly influence exhaustion. In addition, technostress and exhaustion likewise exhibit negative influences on the academic performance of university students.
The nutritive value of lupin seeds (L. luteus , L. angustifolius and L. albus ) for broiler chickens as affected by variety and enzyme supplementation

The chemical composition and nutritional value of yellow (Juno and Popiel), blue (Emir and Sur) and white (Wat and Bardo) Polish sweet lupin varieties were compared. The effects of enzyme preparations, Energex and Bio-Feed Plus, on the hydrolysis of the seed components in vitro and of Energex and Alpha-Gal on the nutritional value of lupin for broiler chickens, were evaluated. The protein content was the highest in the yellow lupins (44%), while that of fat in the white (9%). The alkaloid content ranged from 0.23 to 1.3 g/kg D M . The metabolizable energy (AME N ) as determined on 4-week old chicks, was the highest in Bardo, the lowest in Emir (11.2 and 8.4 MJ/kg D M , respectively). The apparent protein and fat digestibility of lupins determined on 4-week old chicks did not differ among cultivars and averaged 84 and 73%, respectively. Relatively large differences in digestibility of carbohydrate fractions were noted among cultivars (e.g. NFE from 0 to 23.9%; CF from 0 to 20%). The growth performance of broiler chicks fed between day 8-29 of life on isoprotein and isocaloric diets containing 15 and 30% lupin was determined. At the 15% inclusion level only Wat significantly lowered performance indices, however, at the 30% level these indices decreased significantly for all cultivars except Bardo. In vitro, Energex increased the degree of hydrolysis of NDF and ADF in Wat by 19 and 10%, respectively, and increased the solubility of protein of all lupin cultivars by 12%, on average. In vitro Energex increased the A M E N value of Juno, Emir, Sur and Wat by about 1.5 MJ/kg D M and Alpha-Gal acted only on blue lupins (1.6 MJ/kg DM). However, supplementation of diets containing 23% of Juno and Emir seeds with 0.1% of Energex or Alpha-Gal did not improve the performance of the birds in a 3-week experiment.
Recovery of lacustrine ecosystems after the end-Permian mass extinction

The end-Permian mass extinction (EPME; ca. 252 Ma) led to profound changes in lacustrine ecosystems. However, whether or not post-extinction recovery of lacustrine ecosystems was delayed has remained uncertain, due to the apparent rarity of Early and Middle Triassic deep perennial lakes. Here we report on mid–Middle Triassic lacustrine organic-rich shales with abundant fossils and tuff interlayers in the Ordos Basin of China, dated to ca. 242 Ma (around the Anisian-Ladinian boundary of the Middle Triassic). The organic-rich sediments record the earliest known appearance, after the mass extinction, of a deep perennial lake that developed at least 5 m.y. earlier than the globally distributed lacustrine shales and mudstones dated as Late Triassic. The fossil assemblage in the organic-rich sediments is diverse and includes plants, notostracans, ostracods, insects, fishes, and fish coprolites, and thus documents a Mesozoic-type, trophically multileveled lacustrine ecosystem. The results reveal the earliest known complex lacustrine ecosystem after the EPME and suggest that Triassic lacustrine ecosystems took at most 10 m.y. to recover fully, which is consistent with the termination of the “coal gap” that signifies substantial restoration of peat-forming forests.
An empirical model of mobile shopping attitudes and intentions in an emerging market

This paper aims to build an integrated model of factors affecting mobile shopping attitudes and intentions. A sample of 1,330 of active mobile subscribers was involved in a self-administered survey. Exploratory and confirmatory factor analyses were used to assess the research constructs, unidimensionality, validity and composite reliability. Structural path analysis was also used to test the proposed research model and hypotheses. The findings show that ease of use has a positive effect on usefulness and m-commerce attitudes. M-commerce attitudes have a positive effect on m-commerce intentions. Perceived risk has a negative effect on usefulness and m-commerce attitudes. Enjoyment and e-trust have a positive effect on m-commerce attitudes. Perceived trust has exerted the strongest effect on m-commerce attitudes providing evidence that contextual factors provide a better explanation of users' m-commerce attitudes than TAM.
FEM Simulation and Experiment of High-Pressure Cooling Effect on Cutting Force and Machined Surface Quality During Turning Inconel 718

Abstract High-pressure jet coolant assistance was used in the cutting process of Inconel 718. The effects of coolant pressure on cutting force and machined surface quality were researched. As well as the experimental design, Two-dimensional cutting models for Inconel 718 were established using AdvantEdge FEM software. Simulations and experiments were carried out based on the Taguchi method. The simulation predictions and experimental test results were compared. The influence of variables on cutting force and machined surface roughness was determined by variance analysis. The effect of cooling pressure on roughness of machined surfaces was studied by simulation and experiment tests.
SPECIES RICHNESS AND INDICES OF ABUNDANCE OF MEDIUM-SIZED MAMMALS IN ANDEAN FOREST AND REFORESTATIONS WITH ANDEAN ALDER: A PRELIMINARY ANALYSIS

We studied the species richness and two indices of abundance of medium-sized mammals in areas with Andean forest and Andean alder (Alnus acuminata) reforestations in a reserve at the Central Andes of Colombia. Since reforested areas have a less complex habitat structure and lower plant diversity than native forests, we predicted that they have lower richness of mammals than areas with Andean forest. We obtained the indices of abundance from direct contacts in transects and from the use of track stations. Our results suggest that, indeed, areas with Andean forest had a higher richness of mammals than reforestations, but this pattern may be modified by anthropogenic factors. We found no differences between the indices of abundance of the squirrel, Sciurus granatensis, in the two forest types. In contrast, the coatis were recorded more frequently in the reforestations than in areas with Andean forest at the reserve.
Unfolding collaborative learning assessment literacy: a reflection on current assessment methods in higher education

Abstract Over the past two decades, curricula in higher education have increasingly incorporated collaborative learning. However, due to (a) large variations in students’ domain-specific abilities (e.g. knowledge and/or skills) and the effort they invest into the collaboration and (b) teachers’ limited knowledge about how to assess collaborative learning, two main challenges arise. The first challenge concerns ensuring construct validity of the assessment methods, that is, whether an assessment accurately measures students’ domain-specific abilities. The second challenge originates from the potential of assessment methods to elicit student behaviour that is misaligned with the objectives of collaborative learning (e.g. free-riding behaviour). This paper aims to enhance teachers’, researchers’, and students’ awareness for and need to develop what we refer to as ‘collaborative learning assessment literacy’. In particular, we will discuss the two challenges in relation to three frequently used and discussed methods for assessing collaborative learning - group assessment, individual assessment, and group assessment combined with intra-group peer assessment - with specific attention to the purpose of assessment (i.e. formative and summative). Implications of the two challenges as well as their relation to other core components in the design of any collaborative learning setting (e.g. group constellation) will be discussed.
Do consumers view the nutrition facts panel when making healthfulness assessments of food products? Antecedents and consequences

Consumer use of the Nutrition Facts Panel (NFP) is an important topic of interest to researchers and public policymakers. Studies conducted in the United States and elsewhere find high levels of self‐reported use of the NFP or its equivalent. However, data from self‐reports may inflate estimated NFP use due to social desirability problems. Utilizing data from an online experiment, we examine whether consumers choose to view the NFP when assessing the nutritional properties and disease‐fighting abilities of foods. We also examine the antecedents of NFP‐viewing behavior and its implications for the accuracy of healthfulness judgments and the potential for overgeneralization. We conclude with a discussion of the public policy implications of our results and point to directions for future research.
Music Intervention in Undergraduates: the Relationship between Heart Rate Variability and State Anxiety

A low heart rate variability (HRV) is indicative of autonomic inflexibility, which has important implications for physical and psychological health. This study investigates autonomic functioning and its relationship to state anxiety in the context of music intervention. A within-subjects, quasi-experimental design was used with undergraduates, a population frequently impacted by state anxiety. Participants pre-selected music that they identified as the most “relaxing” before being administered the State-Trait Anxiety Inventory (STAI). Baseline physiological indices were then collected using an EKG, followed by administration of the selected music and an additional collection of physiological indices. After the full duration of music intervention was administered, participants took the STAI once more. Results indicated that even short durations of music listening may serve to reduce anxiety in the undergraduate student, as was evidenced by the significant increase in physiological indices and decrease in self-reported anxiety levels. However, while changes in HRV and anxiety may trend together, results indicated no statistical association between these parameters.
The Role of Bacterial Channels in Cell Physiology

This chapter provides an overview on the role of bacterial channels in cell physiology. The proposed role of mechanosensitive (MS) channels is the rapid and nonspecific release of solutes from the cell in response to the generation of excessive turgor pressure. This model has now been tested and verified for E. coli. In most bacterial cells Cl- ions have not been predicted to have significant roles in cell physiology. In some halophilic bacteria Cl- is accumulated to provide salt balance during growth in very high salt concentrations. The aquaglyceroporins are pores that allow the permeation of water and small linear polyhydric molecules through the bacterial membrane. The cell faces two types of problems that relate to ammonium ions. First, there is the need to scavenge for ammonium when the concentration in the environment is low. Second, cells growing on broth may encounter a surfeit of cytoplasmic ammonium ions arising from the deamination of amino acids. In a wide range of bacterial genera the genes for AmtB and GlnK exist as an operon, and recent work suggests that the former is a pore that is used by cells to accelerate the passage of ammonium ions across the membrane and that GlnK is a specific component of the nitrogen-regulatory circuit that controls its activity. The increased understanding of mechanistic aspects of the channel selectivity and gating has advanced rapidly, but an appreciation of the role of channels in cell physiology lags well behind.
Penggunaan N-mers Frequency pada Analisis Barisan DNA

Salah satu metode untuk menganalisis barisan DNA adalah menggunaan N-mers Frequency. N-mers Frequency termasuk metode data mining pada barisan DNA, dimana barisan DNA yang merupakan data string “ACGT” akan diubah menjadi data numerik. N-mers Frequency pada tulisan ini menggunakan N = 3. Hal ini disebabkan karena pada proses sintesis protein, tRNA akan membawa tiga basa nekleotida (anti kodon) yang akan dipasangkan dengan tiga basa nekleotida (kodon) pada pita mRNA. Dalam hal ini mRNA dibentuk dari duplikasi barisan DNA. Studi ini dilakukan untuk mengetahui akurasi dari penggunaan N-mers Frequency. Untuk menghitung Akurasi penggunaan N-mers Frequency , dilakukan tahapan seperti berikut: (1) pengumpulan data barisan DNA, (2) N-mers Frequency , (3) matriks jarak, (4) pengelompokan menggunakan algoritma K-means++, PAM, AGNES, dan DIANA, (5) menghitung akurasi, dan (6) kesimpulan. Akurasi dari Penggunaan N-mers Frequency pada penelitian ini adalah 100%, dengan menggunakan data 100 barisan DNA yang telah diketahui jenisnya, yaitu: virus HPV, virus Ebola, virus Marburg, dan virus Zika.
Bioinformatics analysis and tissue-specific expression of intestinal-type fatty acid binding protein in domestic pigeons (Columba livia)

ABSTRACT Intestinal fatty-acid binding protein (I-FABP, also called FABP2) is involved in the uptake of dietary fatty acids in the intestine, and its binding specificity is only with long-chain fatty acid. In this study, sequences of 4 exons in pigeon FABP2 were successfully amplified. The encoded protein had a molecular weight of 15.13 kDa and the theoretical pI was 6.75. Bioinformatics analysis indicated that the protein was predicted to contain 10 potential phosphorylation sites and did not contain signal peptide structure. The evolutionary analysis suggested the amino acid sequence of pigeon FABP2 was closest to the mallard (Nippoia nippon) homologs. Meanwhile the expression of FABP2 mRNA in different ages and tissues we conducted. It showed that the expression of the FABP2 gene was the highest in the liver, followed by the small intestine and adipose tissue, while lowest in the breast muscle. Also, the expression level in the gizzard was gradually increased with aging. Our results may serve as reference to better studies of the functional characterization and structure of the FABP2 in pigeon.
Molecular basis for plasma α(1,3)-fucosyltransferase gene deficiency (FUT6)

Abstract While most humans express an alpha(1,3)-fucosyltransferase in plasma, 9% of individuals on the isle of Java (Indonesia) do not express this enzyme. Ninety-five percent of these plasma alpha(1,3)-fucosyltransferase-deficient individuals have Lewis negative phenotype on red cells, suggesting strong linkage disequilibrium between these two traits. To define the molecular basis for this plasma deficiency and to determine which of two candidate human alpha(1,3)-fucosyltransferase genes encode this enzyme (FUT5 and FUT6), we cloned and analyzed alleles at these two loci from an Indonesian individual deficient in plasma alpha(1,3)-fucosyltransferase activity. Single base pair changes were identified in the coding region of each gene, relative to previously published wild type alleles. These changes in turn yield three codon changes in FUT5 and three in FUT6. The codon changes in the FUT5 gene do not yield detectable diminutions in alpha(1,3)-fucosyltransferase activity when tested by expression in transfected COS-1 cells, and none of the FUT5 alleles co-segregate with plasma alpha(1,3)-fucosyltransferase deficiency in Indonesian pedigrees. By contrast, two of the codon changes in the FUT6 alleles inactivate this gene when tested by expression in transfected COS-1 cells. One of these inactivating changes is a missense mutation (Glu-247-->Lys) within the enzyme's catalytic domain. The other inactivating mutation represents a nonsense mutation (Tyr-315-->stop) that truncates the COOH terminus of the enzyme by 45 amino acids. The Glu-247-->Lys missense mutation is present in double dose in the nine plasma alpha(1,3)-fucosyltransferase-deficient individuals tested, whereas the nonsense mutation at tyrosine 315 is present in double dose in just one of these persons. These results demonstrate that the alpha(1,3)-fucosyltransferase activity in human plasma is encoded by the FUT6 gene and that the missense mutation within codon 247 of this gene is responsible for deficiency of this activity in these Indonesian families.
High-Precision Multiparameter Weak Measurement with Hermite-Gaussian Pointer

The weak-value amplification technique has been proved to be useful for precision metrology in both theory and experiment. To explore the ultimate performance of weak-value amplification for multiparameter estimation, we investigate a general weak-measurement formalism with the assistance of the high-order Hermite-Gaussian (H-G) pointer and the quantum Fisher information matrix. Theoretical analysis shows that the ultimate precision of our scheme is improved by a factor of the square root of $2n+1$, where $n$ is the order of the Hermite-Gaussian mode. Moreover, the parameters' estimation precision can approach the precision limit with the maximum-likelihood estimation method and the homodyne method. We also present a proof-of-principle experimental setup to validate the H-G--pointer theory and explore its potential applications in precision metrology.
Synthesis and Characterization of Cobalt Ferrite CoxFe3-xO4 Nanoparticles by Raman Spectroscopy and X-Ray Diffraction

In this paper, ferrite nanoparticles of formula CoxFe3-xO4 (where x = 0.0, 0.5 and 1) have been synthetized, through the chemical co-precipitation method, in a basic medium through the use of Fe (III), Fe (II) and Co (II) solutions. The powders were characterized by Raman spectroscopy and X-Ray Diffraction (XRD). The diffractograms indicated the Co (II) ions occupied the tetragonal region, modifying considerably the distribution of the rest of the ions present in the inverse spinel structure. Raman spectra shows variations in the intensity of the characterized bands located at 460, 624 and 672 cm-1 for each structure.
Phenolic Compound Content of Leaf Extracts from Different Roselle (Hibiscus sabdariffa) Accessions

The leaves of roselle ( Hibiscus sabdariffa L.) have been used as a traditional folk medicine that has diuretic and mild laxative effects. Roselle is cultivated in many countries for medicines and food. However, studies on the variation of functional compounds in different accessions are relatively limited. In this study, we investigated the phenolic compound content of leaf extracts from 49 different roselle accessions from a worldwide collection by ultra-high performance liquid chromatography mass spectrometry. The aim was to chemically classify and assess the pharmacological properties of the phenolic compounds in the leaves. The phenolic compounds were identified as neochlorogenic acid, cryptochlorogenic acid, rutin, rutin isomer, isoquercitin, kaempferol-3- O -rutinoside, kaempferol-3- O -glucoside, quercetin, quercetin isomer, and kaempferol. These compounds were present at significantly different levels among the accessions. The most abundant phenolic compound was rutin, which was found in 45 accessions where the total phenolic compound content was 18.75-46.51 mg/g (average 31.52 mg/g). The phenolic compounds were classified into four groups. The two accessions with the highest total phenolic compound content were from Ghana (PI286316) and Senegal (PI275413). The hierarchical cluster analysis of the 49 roselle accessions showed that they formed five groups according to their phenolic compound content. Our results will be useful for the selection of roselle genotypes with improved functional compounds.
Selection of regularization parameter in sparse inverse problems for DOA estimation

This article deals with the selection of the regularization parameter of a sparse ℓ 0 regularized criterion for DOA (Direction-of-Arrival) estimation. This parameter is generally empirically obtained. In this paper, we establish a theoretical range for this parameter allowing a correct estimation for a single observation. Considering that an observation is the eigenvector associated with the maximum eigenvalue of the covariance matrix, we extend the analysis to multiple observations. Numerical results support our theoretical investigations.
Detection of hijab syar’i as smart clothes system for moslem people using high performance of parallel computing

Moslems are required to remain consistent in wearing syar’i clothing. Sometimes, however, it is very difficult to distinguish between syar’i clothes and the non-syar’i ones, especially in the current millennial era and until the end of time there are many temptations that are not good. Digital image processing in the present day has become one of the areas that can be processed to help various problems associated with images. However, it requires very long processing time and ineffective processing. The CPU alone is not enough. Therefore, it takes processing time allocation that can cut the time to speed up the process. This study utilizes the way to speed up performance analysis of digital images through GPU. The performance analysis of GPU includes CUDA and Yolo because it allows specialists in parallel programming to use GPU resources and can perform the object detection process quickly and accurately by applying an artificial neural network to the image of someone who is wearing syar‘i hijab as smart clothes for Moslem women. Several hardware, software, and file dependency specifications are employed to support the implementation process. The test results achieve the accuracy of 100%, proving that by using the implementation of Yolo under GPU.