Miracle-dz/UniFAR-FTUs huggingface dataset:
Optimization of Size Exclusion Chromatography for the Purification and Quantification of Foot and Mouth Disease Virus Serotype “O”

Foot and mouth disease (FMD) is economically devastating disease of livestock overwhelming the international trading of animal based products. The unpurified inactivated vaccine containing Foot and Mouth Disease Virus a (FMDV) and non-structural proteins (NSPs) used to control the disease stimulated the production of anti-NSP antibodies. Countries striving to establish FMD free status must ensure the absence of circulating FMDV and anti-NSP antibodies in vaccinated animals, which are produced in natural infection. Production of purified FMD vaccines contrary to other animal’s vaccines required extra step of virus purification from its NSPs. Present project was designed to optimize different parameters of size exclusion chromatography (SEC) for the purification of local isolate of FMDV from NSPs. For this purpose Bio-rad Econo-Column 15/50 was packed with Sephacryl TM S-300 resin and fitted with BioRad BioLogic LP Chromatographic system. Mixture of blue dextran and bovine serum albumin used as biomarkers for FMDV and NSPs respectively was employed to optimize resin bed height in column based on resolution between curves, while that FMDV was used to optimize flow rate of mobile phase and sample volume based on column efficiency. The chromatographic fraction of FMDV was ensured for purity through protein analysis by SDS-PAGE and serologically by 3ABC-NSP ELISA. It was found that maximum resolution of 1.86 was achieved at 48cm of resin bed height followed by 1.5 and 1.27 at 40cm and 32cm respectively. FMDV was eluted earlier with retention time 138.02+2.02min at flow of 0.7ml/min than 165.76+1.28min at 0.5ml/min along with better column efficiency with sample volume at 4% of column volume. SEC could detect and quantify from 603. 75µg/ml in PEG concentrated FMDV up to 3. 33µg/ml in 1:64 dilution as lower limit of detection and quantification. Presence of two bands of structural protein with absence of NSPs bands on SDS-PAGE and negative NSP% in hyperimmune sera raised in goats revealed the successful elimination of NSPs contents from FMDV suspension by SEC.
Peer-Peer Cultural Value Mismatch in the Dormitory During the Transition to College: Antecedents and Correlates

This research focuses on peer-peer cultural value mismatch – perceived mismatch between collectivistic ideologies and practices of one student and individualistic ideologies and practices of another – among students living in the dormitories during the transition to college. Two survey studies examined the antecedents and correlates of two types of mismatch: (1) reciprocation mismatch: giving or offering a material or service to one’s roommate but not receiving anything in return; and (2) not thinking of the other: feeling as though roommates are not considerate of one’s feelings or schedule. Study 1: A sample of 110 students in their first year of college showed that being a first-generation college student increased the likelihood of experiencing reciprocation mismatch. Both forms of mismatch predicted experiences of psychological distress, reports of academic problems, and lower grades. Study 2: A sample of 152 (76 dormitory roommate pairs) first-year college students revealed that social-class differences in parental education between dormitory roommates predicted students’ experiences with reciprocation mismatch. Students of lower parental education than their roommate reported significantly more mismatch. More mismatch experience was in turn linked to significantly higher levels of academic problems during the transition to college. Implications for research, residential life, and intervention are discussed.
Contradictions Within the Swedish Welfare System: Social Services’ Homelessness Strategies Under Housing Inequality

Sweden has seen a rise in homelessness alongside its strained housing market. References are increasingly being made to structural problems with housing provision, rather than individual issues. Housing has been organized through the local social services, which are responsible for supporting homeless people. With a foundation in housing studies, this article analyzes the Swedish social services’ challenges and actions in a time in which affordable housing is in shortage, and housing inequality a reality, through the lens of social services. The focus is on the intersection between the regular housing market and housing provision (primary welfare system), the social services needs‐tested support (secondary welfare system), and the non‐profit and for‐profit organizations (tertiary welfare system), with emphasis on the first two. The article is based on interviews with people working for the City of Malmö and illustrates how the housing shortage problem is moved around within the welfare system whilst also showing that social services’ support for homeless individuals appears insufficient. Social services act as a “first line” gatekeeper for those who have been excluded from the regular housing market. Moreover, recently implemented restrictions aim to make sure that the social services do not act as a “housing agency,” resulting in further exclusion from the housing market. The article highlights how the policies of the two welfare systems interact with and counteract each other and finally illustrates how homeless individuals fall between them. It highlights the need to link housing and homelessness in both research and practice to gain a deeper understanding of the complexities of housing markets and how homelessness is sustained.
Functional shift of library: The third space; production

The objective of this study is to defines production space related to the functional shift of library space into third space. This study refers to the theory of Lefebvre (1991) on social practice. Space in Lefebvre’s terminology is always a social space, so library space is assumed to be a social product. This study used ethnography with six digital native users as informants collected purposively. The data collection techniques were observation, interview, and literature study. The result showed that there was a functional shift in UGM library space which was initially only for studying, then they became third space. UGM library space as social space is inseparable from and always related to social realities around them. UGM library is an intellectual knowledge institution where library users interact in physical and virtual environments to expand learning and facilitate the creation of new knowledge. In this context, library space is produced in such a way to preserve the dominant, so a social space can only be produced through socio-historical relation. Third space is a space formed from reproduction space (living space) due to integration on the space experienced and understood. The layout practice in UGM Library space showed that digital native users used them for various things.
Non‐Newtonian blood flow with magnetic nanoparticles in a W‐shaped stenosed arterial segment: A numerical study

Flow of blood, infused with magnetic nanoparticles, in a W‐shaped stenosed human arterial segment is studied numerically using a realistic non‐Newtonian blood rheology model. It is observed that the Newtonian model predicts less time to reach a steady state than the non‐Newtonian blood rheology model. An increased drug retention time at the target site with an increase in nanoparticle concentration is predicted. Detailed simulations further reveal that the skin friction coefficient does not increase significantly with the increase in nanoparticle concentration. Hence, it is anticipated from our study that the infusion of drug‐carrying nanoparticles in blood flow does not excessively enhance wall shear stress that may lead to arterial wall damage. An overall increase in heat transfer rates and wall shear stress at the stenosed section is seen with an increase in Reynolds number. The present study provides valuable information for designing computer‐assisted drug delivery systems.
Discrete‐time higher‐order sliding mode control of systems with unmatched uncertainty

The research on discrete‐time higher‐order sliding mode has received a considerable attention recently. Systems with unmatched uncertainties are common in practice; however, the existing discrete‐time higher‐order sliding mode control algorithms are designed considering only matched uncertainty. This paper proposes a technique to design discrete‐time higher‐order sliding mode control for an uncertain LTI system in the presence of unmatched uncertainty. The proposed technique is numerically simulated and experimentally validated on an electromechanical rectilinear plant. Various experiments are conducted considering the several operational conditions of electromechanical systems in industries to verify the performance of the proposed controller.
A wavelet‐based analysis of convective organization in ICON large‐eddy simulations

Wavelet spectra of rain rates are used to characterize convective organization in high‐resolution simulations (horizontal grid spacing 156 m) with the large‐eddy model ICON‐LEM over Germany. Scattered convection takes place on scales between 1.2 and 4.8 km, while organized structures like supercells or mesoscale convective systems act on scales above 4.8 km. Organization of convection within squall lines is visible in the spectra as spectral energy is increased in certain directions. We further investigate the dynamical properties that relate to convective organization, and highlight the role of parameters such as CAPE and wind shear.
Adherence to Antiretroviral Therapy (ART) Among People Living with HIV (PLHIV): A Cross-Sectional Survey to Measure in Selected Public Hospital of Addis Ababa

: In Ethiopia, people with HIV receive free antiretroviral therapy (ART). Adherence to ART is very important for people with HIV, because if they don't take their medicines, they can spread HIV to other people. This study aimed to find out how many people living with HIV in Addis Ababa were adherent to their ART. A cross-sectional study was conducted in selected HIV positive adults receiving free ART from March to May2020 at Addis Ababa Public Hospitals. Three hundreds and eighty two People Living with HIV were interviewed using an anonymous questionnaire. The adherence rate estimates are based on the information provided by the HIV-infected people about medications they have taken in the previous four days. Data were analyzed using SPSS version 22 statistical software. Frequencies, ratios, mean and standard deviation were calculated and used to illustrate the studies. Data were presented in the form of tables and graph. To assess the relationship of independent variables with ART adherence, bivariate and data analysis were performed using chi square tests and univariate logistic regression for categorical independent variables were used for data analysis. The frequencies and distribution of each variable were calculated by conventional statistical methods. A p-value < 0.05 was considered to indicate statistical significance. The result showed that 86.9% of the participants showed optimal adherence and 13.1% showed sub optimal adherence. Our result showed that the respondents, age, marital status and average monthly income were associated with suboptimal adherence to ART. Other factors such as gender, duration on ART, and the use of adherence reminders were not associated with non-adherence to ART. Strategies should be developed based on findings to increase adherence to ART.
Business Licencing Reform and Gender Equality: Evidence from Indonesia

Abstract Business environment reform targets inadequate business regulations, intending to remove constraints to business investment, enabling growth and job creation, and creating opportunities for international business to contribute to and benefit from this growth. Women-led businesses are likely to be disproportionately negatively affected by a poor business environment. However, there is a dearth of context-specific knowledge of the impact of business environment reform on gender equality. This paper offers new insights into this relationship through an in-depth analysis of the Pelayanan Terpadu Satu Pintu (PTSP) or one-stop shop business licencing reform in 2009, exploiting the variation in the extent of its implementation to examine how the effects vary, focussing on the gender of firm leadership. Our findings suggest that the reform is unlikely to have led to either unintended negative consequences for women-led firms, nor do we find any evidence of transformational change. Outside Jakarta, advances for women were achieved, while in Jakarta existing exclusions were maintained and arguably deepened. Stronger gender and inclusion outcomes would require further deepening and expanding the positive achievements identified, including general business environment improvements coupled with targeted support for sectors.
Existence and Multiplicity of Solution for a Class of Quasilinear Equations

Abstract In this paper, we show the existence and multiplicity of solutions for the following class of quasilinear equations −Δpu + |u|p−2u = f(u) in Ωλ, u(x) > 0 a.e in Ωλ, u = 0 on ∂ Ωλ where Ωλ = λΩ, Ω is a bounded domain in ℝN, λ is a positive parameter, 2 ≤ p < N, f is a continuous functions, and Δpu = div(|▽u|p−2▽u) is the p-Laplacian operator. Here, we use variational method to get multiplicity of solution involving the Lusternick- Schnirelman category of B̅ ∥∂ Ω̅ in itself.
Recursive Utility with Investment Gains and Losses: Existence, Uniqueness, and Convergence

We study the total utility of an agent in a model of narrow framing with constant elasticity of intertemporal substitution and relative risk aversion degree and with infinite time horizon. In a finite-state Markovian setting, we prove that the total utility uniquely exists when the agent derives nonnegative utility of gains and losses incurred by holding risky assets and that the total utility can be non-existent or non-unique otherwise. Moreover, we prove that the utility, when uniquely exists, can be computed by a recursive algorithm with any starting point. We then consider a portfolio selection problem with narrow framing and solve it by proving that the corresponding dynamic programming equation has a unique solution. Finally, we propose a new model of narrow framing in which the agent's total utility uniquely exists in general.
Bird Breeding Avian Data: Bayesian Statistical Updating Prediction for the Size of Closed Population on the Species Richness Model using Generalized Binomial Model with New Mixture Unit Interval Type Prior for Animal Ecology

In this article a new way of statistical updating prediction and measuring behavior in the field of animal population dynamics and ecological data science is studied and examined on the species richness model. To estimate the size of closed population, with individual heterogeneity in detection probability, we have introduced and used generalized binomial model with five parameters GBM(n,p,π,ρ,τ) [[1] Al-Saleh at el. (2016)], as an alternative model to the standard Binomial model SBM(n,p). The generalized model is developed by introducing new parameters called indicator parameters. The main advantage of an indicator parameter, is that, it will equip the new generalized model accession, more approaches, and options in statistical estimation for close fitting and measuring behavior of the data. To help with the examination of the data more precisely, we also consider a new mixture unit interval type prior on (0,1) with two parameters UITP(α,β), as an alternative model to the uniform prior on (0,1). To be a contrivance, and intermediary updating prediction model to exiting model [[2] Royle and Dorazio (2008), Chapter 6], and reproduce more effective, generalized, and propagated model of particular importance for species richness populations, using capture–recapture model. The estimate of the total population size could be affected by the selection of the model suggested to fit the data. Therefore, we propose an expanded, generalized, and extended model with the advantage that the model parameters can be estimated using Bayesian methodology which serves as a subtle resource for model identification and classification. An illustration is provided using species richness model with the application to bird breeding survey (BBS) data set. The generalized posterior summaries using Markov Chain Monte Carlo (MCMC) Gibbs sampling approach, are presented for the new models. The study of the parameters of the new models would help the users to have more clarity and understanding about the role of the existing model. It is found that proposed new models is more resilience, litheness, and is fully adaptive to the available data and gives animal ecologist another option for modelling the data.
Using hydrogeochemical and geographic information system methods as an environmental approach for evaluating of coastal aquifers in west northern coast of Egypt

The objective of the current investigation is to get sufficient understanding of the groundwater's geochemical peculiarities and its quality at the area of Egypt's coastline in the northwest. 14 Samples of groundwater have been gathered from 14 wells in various sections of the investigation region, and examined. The pH level within the samples of groundwater reflecting slightly alkaline nature while salinity varies widely from slightly, moderately to very saline water. The spatial distributions of the major ions, except HCO 3− demonstrate an overall increase in the center of the region being researched while HCO 3 − increases in the direction of the northwest (Ghemama area). The major cations in the samples of groundwater decrease in the following order: Na + > Ca 2+ > Mg 2+ > K + while the major anions following order: Cl − > SO 42− > HCO 3− . The spatial distribution of studied heavy metals decrease toward center of the area being researched and slightly increase toward east, and west which could be brought on by local human influence. The heavy metals that were examined for the samples of groundwater can be ordered as follow, Zn > Ba > As > Pb > Ni > Cd > Co > Mn > Cr > Cu. Based on Piper and Schoeller diagram, the samples of groundwater reflect the marine origin. An evaluation quality of the water for the purposes of irrigation and drinking reveals that the samples of groundwater in the research region are not appropriate for irrigation and drinking. Where the concentrations of Cd, Pb and As in the samples of groundwater reveal higher values than those advised by Egyptian and Worldwide Health Organization. Those increased concentrations may be attributed to agrochemical effects and human activities in the research area.
Superconducting hot-electron bolometer: from the discovery of hot-electron phenomena to practical applications

The discovery of hot-electron phenomena in a thin superconducting film in the last century was followed by numerous experimental studies of its appearance in different materials aiming for a better understanding of the phenomena and consequent implementation of terahertz detection systems for practical applications. In contrast to the competitors such as superconductor-insulator-superconductor tunnel junctions and Schottky diodes, the hot electron bolometer (HEB) did not demonstrate any frequency limitation of the detection mechanism. The latter, in conjunction with a decent performance, rapidly made the HEB mixer the most attractive candidate for heterodyne observations at frequencies above 1 THz. The successful operation of practical instruments (the Heinrich Hertz Telescope, the Receiver Lab Telescope, APEX, SOFIA, Hershel) ensures the importance of the HEB technology despite the lack of rigorous theoretical routine for predicting the performance. In this review, we provide a summary of experimental and theoretical studies devoted to understanding the HEB physics, and an overview of various fabrication routes and materials.
Design of a Piezoelectric-Driven Microgripper With Three Working Modes

This article presents the conceptual design of a novel reconfigurable piezoelectric-driven microgripper to obtain both excellent static and dynamic performance for complex micromanipulation. For the first time, a flexure-based compliant microgripper is designed to realize three working modes. The analytical model of the microgripper is established based on the beam deformation theory and pseudo-rigid-body modeling approach. The multiobjective optimization is performed based on the response surface methodology to determine the structural parameters of the microgripper. A finite-element model-based simulation study is implemented to evaluate the gripper's static and dynamic performance. Moreover, a prototype of the microgripper has been fabricated for experimental testing. The results reveal that the microgripper obtains a large displacement amplification ratio of 55.17 in mode I, a high natural frequency of 838.09 Hz in mode II, and a balanced performance in mode III. The micromanipulation capability of the microgripper has been demonstrated by executing gripping–holding–releasing operations of various tiny objects.
Research on the Development and Application of a Deep Learning Model for Effective Management and Response to Harmful Algal Blooms

Harmful algal blooms (HABs) caused by harmful cyanobacteria adversely impact the water quality in aquatic ecosystems and burden socioecological systems that are based on water utilization. Currently, Korea uses the Environmental Fluid Dynamics Code-National Institute of Environmental Research (EFDC-NIER) model to predict algae conditions and respond to algal blooms through the HAB alert system. This study aimed to establish an additional deep learning model to effectively respond to algal blooms. The prediction model is based on a deep neural network (DNN), which is a type of artificial neural network widely used for HAB prediction. By applying the synthetic minority over-sampling technique (SMOTE) to resolve the imbalance in the data, the DNN model showed improved performance during validation for predicting the number of cyanobacteria cells. The R-squared increased from 0.7 to 0.78, MAE decreased from 0.7 to 0.6, and RMSE decreased from 0.9 to 0.7, indicating an enhancement in the model’s performance. Furthermore, regarding the HAB alert levels, the R-squared increased from 0.18 to 0.79, MAE decreased from 0.2 to 0.1, and RMSE decreased from 0.3 to 0.2, indicating improved performance as well. According to the results, the constructed data-based model reasonably predicted algae conditions in the summer when algal bloom-induced damage occurs and accurately predicted the HAB alert levels for immediate decision-making. The main objective of this study was to develop a new technology for predicting and managing HABs in river environments, aiming for a sustainable future for the aquatic ecosystem.