Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Feeding Green Yeast Culture on the Growth Performance of Hanwoo Steers

To overcome the loss in terms of mortality and morbidity as the result of the restriction of in-feed antibiotics, many alternatives have been proposed. Yeast cultures as feed additives have various physiological activities in ruminants. Supplementing yeast makes it possible to stimulate the growth of specific rumen microorganisms which ultimately improves the growth of ruminants. This study was designed to analyze the potential effect of green culture, a feed supplement with fermented yeast, in growth performance and immune status of Hanwoo steers. A total of 30 animals were divided into two experimental groups: Control and Green Culture. For each group, five pens were used. Three 6 to 8 months old Hanwoo steers were housed per pen. In-vitro rumen fermentation by the green culture was done to generate base evidence to reflect the In-vivo field trial results. It was found out that, the average daily gain of the treatment group (0.93±0.04kg) supplemented with green culture was significantly higher (p-value less than 0.05) than that of the control group (0.84±0.10kg). In-vitro, ruminal fermentation analysis showed that the total volatile acid content increased with the addition of green yeast culture. These results suggested that the ruminal digestibility of nutrients improved which is reflected in the increase in body weight. Moreover, there was an increase of acetic acid production, in the treatment group supplemented with GC, which is reported to be related to the formation of lipid precursor cells. Therefore, green culture seems to improve the growth of Hanwoo steers as well as their meat quality.
Behawioralne czynniki lokalizacji hoteli – studium przypadku obiektów z województwa opolskiego

Wybór lokalizacji hotelu jest jedną z kluczowych decyzji gospodarczych. We współczesnej ekonomii coraz częściej kwestionuje się klasyczne czynniki, za podstawy uznając niedoskonałą konkurencję, ograniczoną racjonalność zachowań oraz pozyskiwanie informacji w niepełnym zakresie lub brak umiejętności ich wykorzystania. Znalazło to również odzwierciedlenie w teorii lokalizacji, w ramach której powstał nurt behawioralny. Jego zwolennicy zakładają występowanie pozaekonomicznych, subiektywnych czynników podejmowania decyzji lokalizacyjnych. Wciąż nierozpoznane empirycznie są jednak mieszczące się w tym nurcie przesłanki decydujące o wyborze lokalizacji hoteli. W kontekście tak sformułowanych luk badawczych celem artykułu jest próba identyfikacji behawioralnych czynników lokalizacji hoteli z województwa opolskiego. W pracy wykorzystano cztery główne metody badawcze: przegląd literatury, dokumentacyjną, sondażu diagnostycznego oraz indywidualnych przypadków. Uzyskane wyniki badań potwierdziły istotne znaczenie podejścia behawioralnego w procesie wyboru lokalizacji hoteli niezależnych z województwa opolskiego. Wiąże się to z wyborem lokalizacji wtórnej lub pierwotnej. W tym drugim przypadku, w sytuacji gdy zastosowanie podejścia obiektywnego nie wiązało się z uzyskaniem pewności, że postanowienia są słuszne, czynniki behawioralne odgrywały najważniejszą rolę w procesie decyzyjnym lub stanowiły jego uzupełnienie. Za kluczowe w tym kontekście należy uznać takie czynniki behawioralne, jak: intuicja, naśladownictwo, doświadczenie, miejsce pochodzenia i zamieszkania, przypadek oraz wpływ osób znaczących.
IoT Applications in Automated Water Level Detections

IoT or The Internet of Things is one of the latest technologies available in today’s world. It is basically the ability of various network connected sensors to collect various data related to temperature, electricity and various other types of data which can be sent to the network or cloud which then provides access to users for controlling these devices remotely without the need for any human-human or human-computer interaction. We already have the future of the Internet of Things (IoT). In many areas of social development and community living, such as healthcare, power and industrial automation, IoT technologies have been widely used. This paper is a novel study on IoT applications with a proposal for IoT enabled framework for automatic water level detections for water dispensers.
Sentiment Analysis for Helpful Reviews Prediction

Nowadays, every purchase we plan can be alleviated by the advice of those that tried in the past the given product. As more and more reviews are available, it would be practical to filter the relevant reviews not only to speed up the decision process but also to improve it. Gathering only the helpful reviews would reduce information processing time and save effort. To develop this functionality we need reliable prediction algorithms to classify and predict new reviews as helpful or not, even if the review has not been voted yet. In this paper, we propose a new approach which predicts reviews helpfulness based on sentiment analysis. Our approach focused on sentiment features such as the degree of positivity and the degree of negativity, in addition to the simplistic counts computed directly from reviews. It also extracts emotions dimension by means of emotion lexicon. We proposed a solution to internally construct an emotion lexicon in order to overcome challenges of invented terms, domain dependency, and spelling mistakes. We applied the proposed approach to Facebook pages of six medical products. We obtain a prediction accuracy of 97.95% through SVM algorithm. We found that sentiment degree and sadness emotion are the most decisive sentiment features to predict review helpfulness. The word count and frequencies are important as they reflect the richness and the seriousness of the review, but sentiment and emotions are more decisive as they engage and influence users.
Avaliação in vitro das folhas de palmeiras como alimento de digestibilidade de ruminais e produção de gás

This study was carried out to evaluate using palm fronds only or supplemented with fibrolytic enzymes as alternative roughage on the ruminal nutrients digestibility and gas production. Treatments were: clover hay (Trifolium alexandrinum), palm fronds only and palm fronds plus fibrolytic enzymes (enzymes were mixed with palm fronds in rate of 4 g kg-1 of dry matter (DM). The results showed a reduction (p < 0.05) in gas production, ammoniac nitrogen (NH3-N, DM and organic matter (OM) digestibility in palm fronds compared with clover hay. While supplementing palm fronds with fibrolytic enzymes improved DM and OM digestibility compared with palm fronds only without (p < 0.05) differences with clover hay. Also, supplementing palm fronds with fibrolytic enzymes reduced (p < 0.05) gas production compared with other treatments. It could be concluded that adding fibrolytic enzymes improved the utilization of palm fronds as alternative roughage without negative effect on nutrients digestibility and reduced gas production which improve the environmental aspects of feeding ruminant animals. (AU)
Modelling Error Dependence in Categorical Longitudinal Data

Hidden Markov models (HMMs) offer an attractive way of accounting and correcting for measurement error in longitudinal data as they do not require the use of a ‘gold standard’ data source as a benchmark. However, while the standard HMM assumes the errors to be independent or random, some common situations in survey and register data cause measurement error to be systematic. HMMs can correct for systematic error as well if the local independence assumption is relaxed. In this chapter, we present several (mixed) HMMs that relax this assumption with the use of two independent indicators for the variable of interest. Finally, we illustrate the results of some of these HMMs with the use of an example of employment mobility. For this purpose, we use linked survey-register data from the Netherlands.
New insights on the phylogenetic position and population genetic structure of the Critically Endangered Karpathos marsh frog Pelophylax cerigensis (Amphibia: Anura: Ranidae)

The genus Pelophylax , which currently comprises 26 species, is a well studied group due to its complex history and high diversification, although some phylogenies remain unresolved. Here we assess the phylogenetic position and the population genetic structure of the Critically Endangered Karpathos frog, Pelophylax cerigensis , endemic to Karpathos Island. A total of 42 cytb sequences were examined including specimens from Rhodes Island, and amplified fragment length polymorphisms (AFLPs) were generated to investigate the genetic structure and connectivity of the only two known populations on Karpathos. Molecular analyses reveal two major waterfrog lineages in the eastern Mediterranean: Clade A comprises Pelophylax bedriagae from the Middle East and the island of Cyprus, while clade B includes both P. bedriagae from the east Aegean Sea and P. cerigensis . Specimens from Karpathos and Rhodes constitute a single clade, contrasting previous studies, thus indicating the occurrence of Karpathos frog also to the neighboring Rhodes. The AFLP markers revealed low but statistically significant levels of genetic divergence between the two Karpathos’ populations and similar levels of genetic diversity. Our results suggest that the current taxonomy of the species should be re-evaluated. We also strongly recommend the need of conservation actions to maintain the levels of diversity in the declining population of the Karpathos frog.
Multinomial modelling of TB/HIV co-infection yields a robust predictive signature and generates hypotheses about the HIV+TB+ disease state

Background Current diagnostics are inadequate to meet the challenges presented by coinfection with Mycobacterium tuberculosis (Mtb) and HIV, the leading cause of death for HIV-infected individuals. Improved characterisation of Mtb/HIV coinfection as a distinct disease state may lead to better identification and treatment of affected individuals. Methods Four previously published TB and HIV co-infection related datasets were used to train and validate multinomial machine learning classifiers that simultaneously predict TB and HIV status. Classifier predictive performance was measured using leave-one-out cross validation on the training set and blind predictive performance on multiple test sets using area under the ROC curve (AUC) as the performance metric. Linear modelling of signature gene expression was applied to systematically classify genes as TB-only, HIV-only or combined TB/HIV. Results The optimal signature discovered was a single 10-gene random forest multinomial signature that robustly discriminates active tuberculosis (TB) from other non-TB disease states with improved performance compared with previously published signatures (AUC: 0. 87), and specifically discriminates active TB/HIV co-infection from all other conditions (AUC: 0.88). Signature genes exhibited a variety of transcriptional patterns including both TB-only and HIV-only response genes and genes with expression patterns driven by interactions between HIV and TB infection states, including the CD8+ T-cell receptor LAG3 and the apoptosis-related gene CERKL. Conclusions By explicitly including distinct disease states within the machine learning analysis framework, we developed a compact and highly diagnostic signature that simultaneously discriminates multiple disease states associated with Mtb/HIV co-infection. Examination of the expression patterns of signature genes suggests mechanisms underlying the unique inflammatory conditions associated with active TB in the presence of HIV. In particular, we observed that disregulation of CD8+ effector T-cell and NK-cell associated genes may be an important feature of Mtb/HIV co-infection.
Currency Counting for Visually Impaired Through Voice using Image Processing

: The Blind people may not perceive the currency as well as count them. Thus, to resolve this difficulty, the framework called "Image-based currency recognition and counting system" is useful. Although the Currency Recognition System helps the blind and visually impaired people for detecting the currency still it is not so adequate. Moreover, they just represent the currency one at a time in the form of voice as the output but don’t sum up the total amount. So, it becomes difficult for the blind person to determine the total amount. In this paper we are proposing a currency recognition system that makes use of the SIFT algorithm which is very efficient and fast in detecting the currency and after detecting, it will sum up the total currency detected and will provide the result in the form of output to the blind people. The proposed system is implemented to detect seven different types of Indian currencies. Initially, a pre-processing technique is implemented on the currency note. Then, ROI and OCR are implemented followed with SIFT that provides key descriptors. Finally, the Hamming distance from the KNN algorithm is implemented for matching key descriptors from the feature extraction stage. The results have shown that the proposed system can be implemented in real-time scenarios with an accuracy rate of 93.71% and running time of 0.73 seconds
INFLUENCE OF ALBUMIN ON GUAVA PULP POWDER OBTAINED BY FOAM-MAT DRYING

Guava is a fruit that stands out for its aroma, intense flavor, vitamins, and minerals. Its availability as a powdered food enhances its commercial applications. This study aimed to evaluate mathematical models for adsorption isotherms and determine the properties and flowability of guava pulp powder obtained by foam-mat drying. The models of GAB, BET, Henderson and Oswin were fitted to determine the isotherms of powders with 4 and 8% albumin, at temperatures of 35°C and 45°C. The powders were evaluated by wall friction angle, flow index, apparent density, and particle microstructure analysis. The best fit to the isotherms was obtained by the GAB model. Wall friction angle ranged from 15.7 to 21.9° and from 13.6 to 20.4° for samples containing 4 and 8% albumin, respectively. Higher densities were observed in the powder containing 8% albumin. The powders were classified as easy flowing when
Agency Responses to Counselor Survivors of Client Suicide

According to recent research, counselors may benefit from a variety of supports offered by mental health agencies after a client dies by suicide. Research is sparse concerning how often agency supports and outreach are offered to counselors and what supports counselors find to be the most helpful after a client suicide. In this cross-sectional survey research study, the researchers recruited a sample of counselors (N = 228) who self-identified as having experienced a client suicide. The authors examined relationships between perceived organizational support, supervisory alliance, and the impact of the event on counselors. The authors also examined the use and perceived helpfulness of agency policies regarding counselor-oriented support after client suicide. Results highlight the need for more counselor training around suicide, increased empathy for counselor survivors, and the need for agency policies related to postvention.
Oblique elastic plate impact on thin liquid layer

The present study is concerned with possible mechanisms of air entrainment in a thin liquid layer caused by oblique impact of a deformable body on the layer. The two-dimensional unsteady problem of oblique elastic plate impact is considered within the thin-layer approximation for the first time. The plate deflection is described by the Euler beam equation. The plate edges are free of stresses and shear forces. The plate deflections are comparable with the liquid layer thickness. It is revealed in this paper that, for a stiff plate, the initial impact by the trailing edge makes the plate rotate with the leading plate edge entering water before the wetted part of the plate arrives at this edge. The air cavity trapped in such cases can be as long as 40% of the plate length. For a flexible plate, the impact does not cause the plate rotation. However, the dry part of the plate in front of the advancing wetted region is deflected toward the liquid layer also trapping the air. The numerical results are presented for elastic and rigid motions of the plate, hydrodynamic pressure in the wetted part of the plate, position of this wetted part, and the flow beneath the plate.
Smart Vehicle Recognition And E-Challan Generation System

The demand for a transparent, quick and hassle-free traffic violations management systems with the support of E challan has been the need of the day in a vast country like India with large motor vehicles with limited police enforcement infrastructure. The proposed system not only disciplines the commuters and the traffic police officials, but also can enhance the level of compliance and thereby arrest revenue leakage to the governmental agencies. The paper proposes an automated E challan generating system that works with the existing vehicle database by using chassis number and provide online interface to the offenders for payment of traffic fines with adequate oversight on the traffic police on duty. The prototype enables the traffic police to seek online identification of the driver as well as the vehicle and the E challan system supports the offenders to enable the payment through the link transmitted to his e mail ID/mobile phone for complying with the requirements of fine payment. Further the police officials are tracked and logged for enabling a performance assessment.
Isolation and Molecular Identification of Lactic Acid Bacteria (Lab) from Nile Tilapia (Oreochromis niloticus) as Potential Pathogen Antagonist

Five lactic acid bacterial isolates from the intestinal tract of Nile Tilapia (Oreochromis niloticus) were tested for their antagonistic activity against common human pathogens. Only three were identified using 16S rRNA gene sequencing as Pediococcus pentosaceus (isolates TI-8 and TI-11) and Enterococcus avium (TI-17) showing 99% homology. Among the isolates, TI-8 and T1-11 ( P. pentosaceus ) viable cell cultures were found to have the highest inhibitory activity against Escherichia coli ATCC 25922, surpassing that of the positive control, Tetracyline. Though showing significant inhibition also to Pseudomonas aeruginosa BIOTECH 1335 , Staphylococcus aureus BIOTECH 1582 , Salmonella enteriditis BIOTECH 1963, Salmonella typhimurium BIOTECH 1826, and Vibrio cholerae BIOTECH 1967, T1-17 ( Enterococcus avium) is not effective against S. aureus BIOTECH 1582 . On the other hand, T1-8 and T1-11 ( P. pentosaceus ) cell free supernatant cultures exhibited inhibitory activity against P. aeruginosa BIOTECH 1335 , S. aureus BIOTECH 1582 , S. enteriditis BIOTECH 1963, S. typhimurium BIOTECH 1826, and V. cholerae BIOTECH 1967. The LAB isolate T1-17 ( E. avium) exhibited an inhibitory activity against S. enteriditis BIOTECH and V. cholerae BIOTECH 1967. T1-11 ( P. pentosaceus ) was susceptible to Tetracycline and Amoxicillin; T1-8 ( P. pentosaceus ) was susceptible to Amoxicillin and Cephalexin; and T1-17 ( E. avium) was susceptible to Amoxicillin.
Fuzzy Self-Adaptive Sliding Mode Control for Pneumatic Cylinder Rod-Piston Motion Precision Control.

This paper presents the Fuzzy Self-Adaptive Sliding Mode Controller (FSASMC) designed to control a pneumatic cylinder rod-piston motion and precision. The pneumatic system is widely used in the industry due to its advantages such as high weight to power ratio, high traveling speed, clean fluid medium, and cost-effective in terms of price and maintenance. However, due to the high nonlinearity behavior of pneumatic system, the position control of the pneumatic system is still a challenging task. The most critical part of controlling the pneumatic system with various motion is in giving a stable pressure in chambers, while the rod-piston motion is precisely controlled with any shape of inputs with minimum friction. Therefore, FSASMC is proposed to cater to this matter with fast responses through Sliding Mode Control (SMC) and dynamic stability in pressures through Fuzzy Self-adaptive tuning using Fuzzy Logic Control (FLC). The proposed control system is verified, and analysis was emphasized on steady-state error, velocity, pressure in pneumatic cylinder chambers, and frictional force. Simulation results show that the proposed controller approach performing fast-tracking error on pneumatic rod-piston motion with a very low steady-state error, no oscillation and stable in air pressures.
Genome-Wide Analysis of the Cytochromes P450 Gene Family in Cordyceps militaris

Cytochromes P450 (CYP450) gene family has been shown to play significant roles in various physiological processes of some species, including participate in the metabolism of various exogenous substances, synthesis of endogenous substances, abiotic and biotic stress responses and stress signaling. In this study, the members of CYP450 gene family in Cordyceps militaris (C.militaris) were identified and analyzed on the whole genome level using bioinformatics-based methods. The phylogenetic tree, gene structure, motifs and gene expression level under pH stress were analyzed. In total, 54 putative CYP450 gene family members were identified in C.militaris. The phylogenetic analysis indicated that all of the C.militaris CYP450 (CmCYP) genes, except CmCYP19, were grouped into 3 groups. The 54 CmCYP genes were randomly distributed on 7 chromosomes. The expression analysis of CmCYP under different pH environments showed the mechanism of CmCYP genes family involved in stress resistance regulation is complex and diversified. Systematic investigation of a gene family, would provide important insights into gene function and application. The results of this study will provide reference information for studying other abiotic and biotic stress response regulation mechanism of C.militaris.
Seed Diversity of Indigenous Field Peas (Pisum sativum L.) Germplasm Collection in Oman

Pea (Pisum sativum L.) is a field crop cultivated in most countries of the Arabian Peninsula for both food and fodder consumption during winter. This paper presents the results of indigenous germplasm collections in Oman and assessment of their seed diversity. 27 seed samples/accessions of field peas were collected during collecting missions of indigenous legume crops from 2008 to 2011. South Batinah-coastal governorate represented by Rustaq (15) had the highest, followed by Dhahira & Buraimi governorates (8), Al-Dakhliya (Interior) governorate (2), Sharqiya (eastern) governorate (1) and North Batinah-coastal governorate (1). Seed accessions were found diverse for three seed traits and seed color. Seed length varied from 0.305 cm to 0.720 cm whereas seed width varied from 0.295 cm to 0.690 cm. 100-seed weight ranged from 4.500 g to 21.9 g. With respect to seed color, six accessions viz. Collection No. 25 (tan-light), No. 78 (dark green, mottled), No. 82 (light green), No. 173 (dark green, dark brown, mottled), No. 178 (brownish green, mottled) and No. 314 (cream, light pink) were homogenous (pure) whereas the remaining 21 seed accessions were heterogeneous (mixture) with various colors such as white cream, cream, light green, tan, light brown, dark brown and black with mottled nature. The collections were grouped into 10 genetically diverse clusters based on the Principal Component Analysis (PCA) using seed traits which revealed significant contribution of seed length (34.378%) and 100-seed weight (34.182%) to the total variation existing in indigenous field pea germplasm collected across all the governorates of Oman.