Miracle-dz/UniFAR-FTUs huggingface dataset:
Role of Host Small GTPases in Apicomplexan Parasite Infection

The Apicomplexa are obligate intracellular parasites responsible for several important human diseases. These protozoan organisms have evolved several strategies to modify the host cell environment to create a favorable niche for their survival. The host cytoskeleton is widely manipulated during all phases of apicomplexan intracellular infection. Moreover, the localization and organization of host organelles are altered in order to scavenge nutrients from the host. Small GTPases are a class of proteins widely involved in intracellular pathways governing different processes, from cytoskeletal and organelle organization to gene transcription and intracellular trafficking. These proteins are already known to be involved in infection by several intracellular pathogens, including viruses, bacteria and protozoan parasites. In this review, we recapitulate the mechanisms by which apicomplexan parasites manipulate the host cell during infection, focusing on the role of host small GTPases. We also discuss the possibility of considering small GTPases as potential targets for the development of novel host-targeted therapies against apicomplexan infections.
Stress Ocare : An advance IoMT based physiological data analysis for anxiety status prediction using cloud computing

Abstract In modern times individuals are facing an important social challenge in the form of stress. Combining sensor devices that capture physiological, and brain waves data, this study develops a machine learning technique using cloud computing to recognize stress in people in social contexts. In this paper, we are comparing several classifiers, including Random Forest, Support Vector Machine, k-nearest neighbor and AdaBoost, and also inventing a method that uses sensor data in day-to-day life. It detects stress levels with high accuracy. Our results show that by combining data from all the sensors, we are able to accurately differentiate between the stressful and normal situations of humans. In addition, this paper also evaluates the individual capabilities of each sensor modality and its applicability for stress detection in real-time situations. Methods: We have provided unique technology to incorporate sensor signals using cloud computing. It monitors the user’s sweat level, temperature, heart rate variation, and EEG under various motion estimations and also chooses the best model to detect the anxiety level based on the user’s motion conditions. Results: Evaluation of algorithms using sample data reveals an overall concern detection accuracy of 94% along with a significant reduction in false positives compared to the ultramodern techniques.
A Sensor Bias Correction Method for Reducing the Uncertainty in the Spatiotemporal Fusion of Remote Sensing Images

With the development of multisource satellite platforms and the deepening of remote sensing applications, the growing demand for high-spatial resolution and high-temporal resolution remote sensing images has aroused extensive interest in spatiotemporal fusion research. However, reducing the uncertainty of fusion results caused by sensor inconsistencies and input data preprocessing is one of the challenges in spatiotemporal fusion algorithms. Here, we propose a novel sensor bias correction method to correct the input data of the spatiotemporal fusion model through a machine learning technique learning the bias between different sensors. Taking the normalized difference vegetation index (NDVI) images with low-spatial resolution (MODIS) and high-spatial resolution (Landsat) as the basic data, we generated the neighborhood gray matrices from the MODIS image and established the image bias pairs of MODIS and Landsat. The light gradient boosting machine (LGBM) regression model was used for the nonlinear fitting of the bias pairs to correct MODIS NDVI images. For three different landscape areas with various spatial heterogeneities, the fusion of the bias-corrected MODIS NDVI and Landsat NDVI was conducted by using the spatiotemporal adaptive reflection fusion model (STARFM) and the flexible spatiotemporal data fusion method (FSDAF), respectively. The results show that the sensor bias correction method can enhance the spatially detailed information in the input data, significantly improve the accuracy and robustness of the spatiotemporal fusion technology, and extend the applicability of the spatiotemporal fusion models.
Fertilidad en vacas Holstein (Bos taurus) inseminadas con semen sexado de toros Gyr (Bos indicus) en ganaderías lecheras de pequeña escala en la Irrigación Majes, Arequipa, Perú

El presente trabajo tuvo como objetivo determinar la tasa de concepción al primer servicio y la tasa de natalidad, así como el porcentaje de terneros hembra nacidas usando semen sexado Gyr en vacas Holstein. Se realizó la inseminación artificial (IA) a 1174 vacas de segundo y tercer parto durante los meses de diciembre de 2011 a octubre de 2012 en ganaderías de pequeña escala de la Irrigación Majes, Arequipa, Perú. La IA llevó a cabo 12 horas después de la detección visual del celo y el diagnóstico de preñez se realizó mediante palpación rectal a los 45-60 días del servicio. La tasa de concepción en animales de 2do parto se encontró en un rango de 37 a 77 %, mientras que para los animales de 3er parto fue de 39 a 88%. La natalidad estuvo en el rango de 32 a 71% y de 38 a 85% para vacas de 2do y 3er parto, respectivamente, sin que se evidencie un efecto de estacionalidad sobre la tasa de concepción o de la natalidad. La tasa de concepción global fue de 56% y la de natalidad de 54%. El porcentaje de terneras obtenidas fue de 82% y de terneros de 18%. Se concluye que el número de partos y la estacionalidad no influyen sobre las tasas de concepción y de natalidad cuando se emplea semen sexado Gyr; asimismo, el uso de semen sexado Gyr en vacas Holstein sería una buena opción reproductiva.
Religion and well-being in Indonesia: exploring the role of religion in a society where being atheist is not an option

The role and mechanism that religion plays in an individual ’ s life as suggested by many international studies might be substantially di ﬀ erent with the one practiced in Indonesia. Studies in the United States and Europe have discovered a gradual decline of religiosity (Twenge et al., 2016). Nevertheless, Indonesians still adhere to their religious a ﬃ liations and consider religions to play an important role in determining their well-being (Tamir et al., 2020). While studies continue to show the positive contribution of religion to an individual ’ s well-being (i
Pesticide-Residue Analysis in Soils by the QuEChERS Method: A Review

Pesticides are among the most important contaminants worldwide due to their wide use, persistence, and toxicity. Their presence in soils is not only important from an environmental point of view, but also for food safety issues, since such residues can migrate from soils to food. However, soils are extremely complex matrices, which present a challenge to any analytical chemist, since the extraction of a wide range of compounds with diverse physicochemical properties, such as pesticides, at trace levels is not an easy task. In this context, the QuEChERS method (standing for quick, easy, cheap, effective, rugged, and safe) has become one of the most green and sustainable alternatives in this field due to its inherent advantages, such as fast sample preparation, the minimal use of hazardous reagents and solvents, simplicity, and low cost. This review is aimed at providing a critical revision of the most relevant modifications of the QuEChERS method (including the extraction and clean-up steps of the method) for pesticide-residue analysis in soils.
Research and Application of Cloud Platform-Oriented Intelligent Information Management System

In order to realize unified deployment and system planning of various types of information and diverse needs, the author proposes an educational information management platform using cloud computing technology. The author introduces the layered architecture and platform advantages of cloud computing technology. Combining the advantages of cloud computing technology with the characteristics of the construction of educational information management platforms in colleges and universities, the B/S architecture is established, and the architecture model of the educational information management platform based on cloud computing technology is designed; the model includes user access layer, SaaS layer, PaaS layer, and IaaS layer, then analyze the functional modules of the platform design. Based on the Linux operating system server terminal, using Apache as the Web application server, the JSP system page was developed and established a SQL Server database, which includes information tables such as users, departments, teachers, courses, teaching resources, and statistical analysis. Finally, the application effect of the education information management platform based on cloud computing technology is analyzed. Experimental results show that the platform was tested, and it was found that the accuracy of system data operation was greater than 90%; the system ran stably and smoothly for more than 2 hours; 200 people could use the system at the same time; the system response delay was less than 3 seconds. Conclusion. The educational information management platform can be user-oriented, meet the personalized application needs of teachers and students in schools, and provide strong technical support for teaching experience innovation.
Use of performance information in Performance Evaluation: An effective tool in minimizing unconscious gender bias in the workplace

Dearth of women in the senior management positions is a global phenomenon with slight national variations.Stereotypebased expectation of the people of the positions of power generate unconscious gender bias which leads to biases inperformance evaluation of female employees. As a result, they are not promoted to the top management positions andcannot contribute to the decision making process. But Keeping women outside the decision making process is excludinghalf of the potentiality. Marginalization of women and their potentiality in contributing to economic development, socialadvancement and environmental protection is a great impediment to global advancement. So discrimination of womenin the performance evaluation is to be minimized. Reviewing the related existing literature, this article argues that aneffective performance management system with the use of performance information against set goal can reduce genderbias in performance evaluation and expedite the presence of women at the top levels of the workplace
Rubber Powder As a Partial Replacement To Fine Aggregate in Geopolymer Ferrocement

Abstract: Tyre manufacturing over the world has increased as the automobile industry has rapidly grown. The waste tyre disposal is very time-consuming and environmentally damaging process. Even though it is frequently disposed of in landfills, issues with supply and demand mean that the shortage and lack of available landfill space is very big concern. The fundamentals ferrocrete is used in the construction of structures. Mix of sand and cement the manufacture of aggregates from stone Quarries are also a major source of environmental degradation. Thus, the goal of the project; the purpose of this research is to investigate the effects of varying the quantities of crumb rubber replacing sand content in ferrocrete mixes. In order to enhance different percentages of glass fibre have a compressive strength included into the mix of cement. In this study, the primary objective is to discover replacing the old rubber with a new type of rubber Cement ferrocrete aggregates are mixed with glass fibres. Finally, the product will have excellent engineering qualities
Great Abilities of Shinella zoogloeoides Strain from a Landfarming Soil for Crude Oil Degradation and a Synergy Model for Alginate-Bead-Entrapped Consortium Efficiency

Oil contamination is of great concern worldwide and needs to be properly addressed. The present work aimed to contribute to the development of bacterial consortia for oil recovery. We investigated the community structure of a landfarming-treated soil (LF2) by metagenomics to unravel the presence of hydrocarbon degraders. Moreover, we isolated Shinella zoogloeoides LFG9 and Bacillus swezeyi LFS15 from LF2 and combined them with Pseudomonas guguanensis SGPP2 isolated from an auto mechanic workshop soil to form the mixed consortium COG1. Bacterial isolates were tested for biosurfactant production. Additionally, the bioremediation potential of COG1 was studied as free and entrapped consortia by gas chromatography-mass spectrometry, in comparison to the single strains. Results revealed the presence of Actinobacteria (66.11%), Proteobacteria (32.21%), Gammaproteobacteria (5.39%), Actinomycetales (65.15%), Burkholderiales (13.92%), and Mycobacterium (32.22%) taxa, indicating the presence of hydrocarbon degraders in soil LF2. All three isolated strains were biosurfactant producers capable of degrading crude oil components within 14 days. However, Shinella zoogloeoides LFG9 performed best and was retained as candidate for further bioremediation investigation. In addition, COG1 performed better when immobilized, with entrapment effectiveness manifested by increased fatty acids and aromatic compound degradation. Attempt to improve crude oil biodegradation by adding surfactants failed as sodium dodecyl sulfate restrained the immobilized consortium performance.
The Effect of Health Promotion Media on Breastfeeding Mothers’ Attitude about Exclusive Breastfeeding in Bone Regency, South Sulawesi

BACKGROUND: Breast milk (ASI) is an essential food for babies aged 0–6 months. However, many mothers do not provide breast milk exclusively to their babies due to many reasons, including busy work. Furthermore, another reason of them to not provide exclusive breast milk is because of the lack of information obtained during pregnancy and breastfeeding period, leading to the lack of understanding and affecting the formation of positive attitudes of the mothers toward the importance of exclusive breastfeeding. AIM: This study aims to analyze the effect of health promotion media on the mothers’ breastfeeding attitude about exclusive breastfeeding in Bone Regency, South Sulawesi. METHODS: This research was conducted by applying a quantitative quasi-experimental design with two groups of pre-test and post-test. The population and samples involved are 70 breastfeeding mothers who had children aged 0–6 months old and living in the working area of the Koppe Public Health Center. In this case, they were divided into two groups with a ratio of 1:1, in which 35 breastfeeding mothers were in the flipchart group, while the other 35 mothers were in the education control card group. RESULTS: Based on the research that has been done, it was revealed that there was an effect of knowledge before and after health education, intervention was provided in the forms of educational control card media with = 0.000 (p < 0.05). The difference in the mean value between the flipchart media and the education control card group is 9.57, while the attitude probability value after the intervention is p = 0.085 which is more than α = 0.05. CONCLUSIONS: This study concluded that there was no difference in attitude between the flipchart group and the education control card group after being given the intervention.
Promoting decent work in organisations: a sustainable HRD perspective

ABSTRACT Today’s uncertain times have led to paradigm shifts in the world of work. The disruptive nature of unforeseen events (e.g. Covid-19) has a harsh impact on organizations’ stakeholders, including employees, society and the environment. However, these events pose tougher challenges for vulnerable and weaker workers, particularly in getting access to decent and productive employment. While catering to the changing needs of business, organizations also find it difficult to provide decent work for all and achieve their social bottom lines. This paper aims to understand what role HRD plays, especially Sustainable HRD (S-HRD), in facilitating access to decent work. Conceptual analysis of the literature revealed that S-HRD practices have the potential to promote all the dimensions of DW: employment creation, social protection, employees’ fundamental rights and social dialogue. This paper is an important stepping stone in the articulation of how S-HRD can help organizations to promote decent work. The perspectives presented in this study have potential implications for HRD practitioners in understanding the application and implementation of S-HRD practices. Furthermore, managers can also take note of specific S-HRD interventions from this paper to enable decent work in their organizations.
Demonstrating a duplex TRIP/TWIP titanium alloy via the introduction of metastable retained β-phase

This study demonstrates transformation-induced plasticity (TRIP) in conjunction with twinning-induced plasticity (TWIP) in α β titanium alloys by introducing metastable retained β-phase. By annealing at 850 °C followed by water quenching, metastable retained β-phase (∼25%) was obtained in Ti–6Al–4V alloy. Stress-induced phase transformation in the retained β-phase produced orthorhombic α′′-martensite associated with (021)α ′′ twinning, which significantly increased the work-hardening rate and uniform elongation. The findings reveal that the minor retained β-phase is responsible for macroscopic deformation behavior and could aid in novel alloy design that can increase work hardenability with fewer alloying elements than currently available metastable β-titanium alloys. GRAPHICAL ABSTRACT IMPACT STATEMENT The minor metastable retained β-phase in an α β titanium alloy with low alloy content enhanced work hardening because of the combined TRIP/TWIP effect.
Bacteriophage and Bacterial Susceptibility, Resistance, and Tolerance to Antibiotics

Bacteriophages, viruses that infect and replicate within bacteria, impact bacterial responses to antibiotics in complex ways. Recent studies using lytic bacteriophages to treat bacterial infections (phage therapy) demonstrate that phages can promote susceptibility to chemical antibiotics and that phage/antibiotic synergy is possible. However, both lytic and lysogenic bacteriophages can contribute to antimicrobial resistance. In particular, some phages mediate the horizontal transfer of antibiotic resistance genes between bacteria via transduction and other mechanisms. In addition, chronic infection filamentous phages can promote antimicrobial tolerance, the ability of bacteria to persist in the face of antibiotics. In particular, filamentous phages serve as structural elements in bacterial biofilms and prevent the penetration of antibiotics. Over time, these contributions to antibiotic tolerance favor the selection of resistance clones. Here, we review recent insights into bacteriophage contributions to antibiotic susceptibility, resistance, and tolerance. We discuss the mechanisms involved in these effects and address their impact on bacterial fitness.
The hidden performance costs of professional isolation? A latent change score model of professional isolation during the early stage of COVID‐19 pandemic

Abstract Although past research has found that professional isolation can affect discernible work‐related outcomes (e.g. job performance and turnover) and important job attitudes, researchers have not examined its impact on those less discernible but still costly work behaviours. Drawing on self‐regulation theories, this study examined the effect of professional isolation on employees' cyberloafing and time theft through self‐control capacity impairment. With longitudinal data collected from 343 U.S. employees across five consecutive weeks at the early stage of the pandemic (i.e. from mid‐March to late April 2020), our results of latent change score modelling analyses found that professional isolation change was positively related with changes in cyberloafing and time theft via change in self‐control capacity impairment. The results increase our understanding of the hidden performance cost of professional isolation. This research also shifts the research focus from a static, between‐person perspective to dynamic, within‐person changes in professional isolation and related outcomes. The findings shed light on the self‐regulation perspective in understanding the harmful consequences of professional isolation. Implications for future research are discussed along with practical implications for organisations.
Wk-fnn design for detection of anomalies in the computer network traffic

Anomaly-based intrusion detection systems identify abnormal computer network traffic based on deviations from the derived statistical model that describes the normal network behavior. The basic problem with anomaly detection is deciding what is considered normal. Supervised machine learning can be viewed as binary classification, since models are trained and tested on a data set containing a binary label to detect anomalies. Weighted k-Nearest Neighbor and Feedforward Neural Network are high-precision classifiers for decision-making. However, their decisions sometimes differ. In this paper, we present a WK-FNN hybrid model for the detection of the opposite decisions. It is shown that results can be improved with the xor bitwise operation. The sum of the binary ? ones? is used to decide whether additional alerts are activated or not.
Green Biomonitoring Systems for Air Pollution

: Human activities have led to environmental pollution, while industrial growth and the gradual transition to urbanization are the main causes of the growth of different types of environmental pollutants; the continuation of studies on air quality biomonitoring in the context of “green revolution” have renewed the way to use “green tools” using higher plants with speciﬁc capabilities as biomonitors.
Influence of fire on edge vegetation in an Atlantic Forest remnant in Brazil

Fires and habitat fragmentation are responsible for devastating large ecosystems around the biosphere. The increasing use of remote sensing allows fire patterns to be identified and plays an essential role in preventing fires. In this context, this study aimed to describe the variation in evidence of fire between the edge and the interior of an Atlantic Forest remnant in southeastern Brazil and infer its effects on vegetation. Fire records were acquired between 2010 and 2020 from the Instituto Nacional de Pesquisas Espaciais database and United States Geological Survey satellite images. For each scene, the images were processed and the normalized difference vegetation index (NDVI) was calculated. To assess the variation, records were classified and compared according to the year, month, hours, and habitat type (edge and interior). To verify the influence of fires on vegetation, simple linear regressions were performed based on the fire risk due to the NDVI-year-habitat interaction. The data included 748 fire records, with the highest occurrences from April to August, and 51% of the fires occurred between 15h and 20h, indicating periods with more intense solar radiation. The relationship between fire risk and NDVI-year-habitat was significant (F = 30.35; R 2 = 0.26; p < 0.0001), and the edges were more vulnerable to fire risk. This study shows that in an Atlantic Forest remnant, areas with lower vegetation indices, such as edges, are more vulnerable to fire than areas with dense forest vegetation. queimadas ocorreram entre 15h e 20h, indicando períodos de radiação solar mais intensa. A relação entre risco de fogo e NDVI-ano-habitat foi significativa (F = 30,35; R2 = 0,26; p < 0,0001), e as bordas, como esperado, foram mais vulneráveis ao risco de fogo. Este estudo mostra que em um remanescente de Mata Atlântica, áreas com índices de vegetação mais baixos, como bordas, são mais vulneráveis ao fogo do que áreas com vegetação florestal densa.