Miracle-dz/UniFAR-FTUs huggingface dataset:
Serum Elafin in Patients with Acne Vulgaris A.A.Ebrahim

Acne vulgaris is the formation of comedones, papules, pustules, nodules, and/or cysts as a result of obstruction and inflammation of pilosebaceous units, Elafin is a human protein that is produced naturally in the skin, lung and breast, protecting the respective tissue from destruction by the immune system.to estimate the serum level of elafin and CRP in acne patients, to compare levels in patients and controls and to detect its role in pathogenesis of AV. This study included 50 patients torment from av (Group An). Clinched alongside addition, 30 Obviously sound people about matched period and sex were picked as An control bunch (Group B). Constantly on patients were subjected will full history taking, clinical examination What's more research center investigations for: serum level about elafin Also crP. Certain family history exhibited clinched alongside 18 for patients, 4 of patients were smokers, 32 patients needed a connection to sun exposure, Previously, 26 from claiming patients lesions were connected with secondary caloric diet, 29 connected with abundance anxiety. Seriousness might have been assessed, 17 required mild, 20 required moderate Furthermore 13had extreme acne, What's more skin break out scar might have been structured Previously, 15. Higher evaluations and also skin break out scar creation were essentially connected with higher serum elafin What's more crp focuses. Skin break out gathering indicated essentially higher serum levels from claiming both elafin Also CRP, The point when contrasted with control aggregation. Elafin hormone Furthermore crp are connected with those powerlessness of advancement about av Also need An part On its pathogenesis What's more seriousness.
Relationship between Business Intelligence Components and Financial Reporting Quality in Firms

The purpose of this research studies the impact of business intelligence on the financial reporting quality of listed companies in the Tehran Stock Exchange using structural equation modeling. The instruments of this research were the business Intelligence Questionnaire (Provich, 2012) and the financial statements of listed companies in The Tehran Stock Exchange to study of the financial reporting quality. For this purpose, the data of 182 listed companies in the Tehran Stock Exchange in 2018 was collected and processed. To analyze the data, Partial Least Squares Method and PLS-3 software were used. The findings of the research showed that each of the components of business intelligence including data integrity, analytical capabilities, information content quality, information access quality, use of information in business process, and Analytical decision - making culture has a positive and significant effect on the financial reporting quality
Decentralized Acting and Planning Using Hierarchical Operational Models

We describe Dec-RAE-UPOM , a system for decentralized multi-agent acting and planning in environments that are partially observable, nondeterministic, and dynamically changing. Dec-RAE-UPOM includes an acting component, Dec-RAE , and a planning component, UPOM . The acting component is similar to the RAE acting engine (Ghallab, Nau, and Traverso 2016), but incorporates changes that enable it to be used by autonomous agents working independently in a collaborative setting. Each agent runs a local copy of Dec-RAE and has its own set of hierarchical operational models that specify various ways to accomplish its designated tasks. Agents can communicate with each other to exchange information about their states, tasks, goals and plans in order to cooperatively succeed in missions. Communication is not always guaranteed or free, and agents need to reason about strategies to achieve optimal success and efﬁciency in missions under various constraints and with possibility of failures. To choose among alternative ways to accomplish tasks, our current implementation of Dec-RAE uses the UPOM planner (Patra et al. 2020). We also describe our work-in-progress on a new planner, D-UPOM , that incorporates some enhancements for planning in multi-agent environments.
Review: Effect of Red Cabbage Juice (Brassica oleracea var. Capitata f. Rubra) on SGPT Level

Red cabbage (Brassica oleracea var. Capitata f. Rubra) is a vegetable widely used in Indonesian cuisine. Red cabbage is rich in anthocyanins so it can be used to reduce SGPT levels in drug induced liver injury (DILI). This study aims to determine the effect of red cabbage juice on SGPT levels in acetaminophen-induced liver injury. The methods In this post-test only control group study, male Wistar rats (300g) were randomly divided into 5 groups (K1-K2-K3-K4-K5). Acetaminophen was given to induce liver injury in rats. The rats were treated with the cabbage juice (at the dose of 0.5g/ml or 0.7g/ml or 0.9g/ ml. Data were analyzed using One way ANOVA and LSD post hoc test. The results Mean SGPT levels for K1, K2, K3, K4, K5 was 58.43 ± 7.18 UI / L, 71.20 ± 9.13 UI/L, 55.73 ± 9.51 UI / L, 72.80 ± 3.47 UI /L, 72.63 ± 3.01 UI /L, respectively. One way ANOVA resulted in p=0.00 (p <0.05). The post hoc LSD test showed a significant differences (P <0.05) between all groups except between groups K1-K3, K2-K4 and K2-K5 (p> 0.05). the conclusion Red cabbage juice can reduce SGPT in acetaminophen induced liver injury in rats. The most effective dose was 0.5 g/ml. Keyword : Red Cabbage, Acetaminophen, DILI, SGPT
Determinants of Women Participation in Micro and Small Enterprises in Hadiya Zone, Ethiopia

The study was undertaken with the objective of assessing determinants of women participation choice and intensity of participation in Micro and Small Enterprises in Hadiya zone, Ethiopia. Within the zone three town administrative were selected based the largest number of economic activities. The investigation was grounded on cross-sectional review information from 385 women Micro and Small Enterprise's undertakings participant and non-participant that were assigned using semistructured interview schedule, key informants interview, focus group discussion, and personal observation. Secondary data was acquired from empirical reports, government policy documents, national statistical reports, journal articles and reports of different organizations. Heckman's twostage selection model was applied to recognize factors influencing women's participation decision and intensity of participation in MSEs. The first level of probit model estimation results reveal that educational status, business experience, access to credit, access to training, achievement motivation, receiving remittance, information seeking behaviour and initial capital were emphatically and fundamentally impact the likelihood of women participation decision in MSE while age was negatively related and does significantly determine the participation choice of the women. The after effects of the second stage Heckman model demonstrated that the intensity of participation in Micro and Small Enterprises was significantly and positively influenced by Original Research Article Tadesse et al.; AJAEES, 38(12): 31-45, 2020; Article no.AJAEES. 63309 32 educational status, access to market, access to transportation, and achievement motivation. Hence, this study recommends that government and concerned bodies are anticipated to enhance the educational level, skill, and knowledge development training, provide aids and subsidized to income, credit facilities, and the remittance-receiving channels. It is also suggested that women should formulate their own goals and they should participate in business by their own choice nevertheless of other alternatives accomplish well and actions need to be accepted to offer incentives for women who have faced a lack of available initial capital in the study area.
Collective effects on thermophoresis of colloids: a microfluidic study within the framework of DLVO theory

Collective effects on thermophoresis of aqueous particle suspensions are studied experimentally and theoretically. A microfluidic device is used to characterize thermophoretic transport of 100 nm, 500 nm and 1 μm particles of various concentrations in deionized (DI) water. Our experimental findings show two interesting collective effects on the Soret coefficient of colloids: (i) for smaller particles (e.g., 100 nm and 500 nm), a sign change of the Soret coefficient is observed when increasing the particle concentration; (ii) for larger particles (e.g., 1 μm), a negative Soret coefficient is always seen. A model is derived to account for the collective effect on the thermophoresis of colloids using the well-known Derjaguin–Landau–Verwey–Overbeek (DLVO) theory that combines the van der Waals (VDW) attraction and the electric double layer (EDL) repulsion. Such DLVO interactions in an inhomogeneous particle suspension can exert an additional force on particles and thus modify the mass transport of particles under both temperature and concentration gradients and also alter the corresponding Soret coefficient. It is found that the proposed theoretical model can favorably explain our experimental observations.
The Effect of Nanogold-Nanosilver for Immune Enhancement of Drug Abuse Victims in Areas Affected by COVID-19

The development of confirmed cases of COVID-19 in Indonesia is increasing, but until now there is no specific drug to prevent the virus. Therefore, it is necessary to do a research to produce a drug that can prevent this virus. Efforts to prevent the spread of COVID-19 and to avoid contracting the virus can be done by strengthening the immune system. Currently, the development of nanogold and nanosilver utilization occurs very rapidly, especially in the health sector due to its antibacterial and antioxidant properties. In this research, nanogold-nanosilver was presented in the form of drinking water that can be consumed directly. The purpose of this research was to find out the effect of nanogold-nanosilver health drinking water on immune enhacement in terms of anxiety level, stress level, and sleep quality. This research used one group pretest-posttest design. Data collection was conducted through observation and interviews with 75 victims of drug abuse who live in areas affected by COVID-19. Data were analyzed using one paired T-test on SPSS version 25. From the statistical test results obtained p-value 0.000 in all three aspects, it means that nanogold-nanosilver had an effect to boost the immune system.
The temperature dependence of ordering in magnesium ferrite

Cation ordering in magnesium and nickel ferrites was studied by X-ray diffraction measurements carried out at the temperature of equilibration and also on quenched specimens. The order parameters on quenched specimens agreed with results previously reported by others but not with values measured at temperature. Previous results on quenched specimens had been described by a simple mass action relation with constant ordering energy. The new results on equilibrated specimens require a modified Bragg–Williams-type relation in which the ordering energy varies with the degree of order. Both ferrites are inverted when in equilibrium at low temperature. Magnesium ferrite approaches a random distribution at high temperature with a Curie point at about 1070°C. Oxygen positional parameters were 0.243±0.001 for both ferrites at room temperature. The lattice parameter of nickel ferrite quenched from temperatures up to 1255°C was 8.3295±0.0001 A. For magnesium ferrite the lattice parameter varied from 8.3775±0.0001 A, when quenched from 784°C. to 8.3848, when quenched from 1271°C.
Rota do Azulejo: Strategic Analysis of the Business Ecosystem and Value Creation in the Touristic Tile Art Market

This project is composed by a strategic analysis of the business ecosystem and value creation for the implementation of a touristic route. The main purpose was to construct theoretical frameworks for the analysis of the networks and value creation in tile tourism, enabling the analysis of a possible “Rota do Azulejo”. The project states that relations inside the network are crucial and underlines the importance of stakeholders in the creation of value. This thesis constitutes a theoretical and critical analysis of the strategic viability of a touristic route, laying the foundations for the development of further analysis and projects.
Micelle formation, relaxation time, and three‐phase coexistence in a microemulsion model

Our Larson‐type microemulsion model for surfactant chains in oil–water solvents leads to long relaxation times as well as, for essential modifications, to a stable peak in the chain‐cluster size distribution. Transfer energies for surfactant chains moving to the oil–water interface, and characteristic micelle concentrations (CMC) as a function of chain length are compared with experiment.
Investigation of Prospective Teachers’ Self-Regulated Learning Skills in terms of Different Variables

AR T I C LE I NFO AB ST R AC T Article History: Received 19.09. 2020 Received in revised form 24.01. 2021 Accepted Available online 01.04. 2021 This study aimed to describe the self-regulated learning skills of prospective teachers studying at a public university in Istanbul and reveal their differences in relation to the components of these skills. The screening model was used in the research. The sample consisted of students studying at a public university in Istanbul in the 2018-2019 academic year and applied to randomly selected 926 students. This study was carried out with 926 first-, second-, thirdand fourth-grade students. The Self-Regulatory Learning Skills Scale (SRLSS) and a personal information form were used as the data collection tools. The findings of the research revealed that the prospective teachers had high scores in the subscales of SRLSS and the overall scale. It was concluded that the prospective science teachers had higher scores in planning and goalsetting than the students attending all other programs except for mathematics teaching. Furthermore, the scores of female prospective teachers in all subscales were higher than those of the male participants. Considering the type of high school, the participants that had completed basic high school scored higher in strategy use and evaluation compared to those that had finished other types of high school. When the prospective teachers’ self-regulated learning skills were analyzed according to their parents' education level, no significant difference was found. ©IJERE. All rights reserved
Growth, yield and bulb quality of onion (Allium cepa L.) in response to foliar application of boron and zinc

ABSTRACT A field experiment was conducted to investigate the role of boron and zinc on growth, yield and quality of onion. There were eight treatment combinations consisted of four levels of boron (0, 0.1, 0.2 and 0.5%) and 4 levels of zinc (0, 0.1, 0.2 and 0.5%) were applied as foliar spraying. application of 0.5% boron significantly increased the growth (plant height, 63.93cm and number of leaves per plant, 7.25), yield (30.74 t ha−1) and quality (total soluble solids, 13.45 0B and pyruvic acid 5.94 µmol g−1) of onion. Among various levels of zinc 0.5% exhibited the best growth (plant height, 67.25cm and number of leaf per plant, 7.75), yield (33.34 t ha−1) and quality (total soluble solids, 14.57 0B and pyruvic acid, 5.86 µmol g−1) attributes of onion. These results suggest that the foliar application of boron and zinc significantly influenced the growth, yield and quality of onion.
Learning Group Activities from Skeletons without Individual Action Labels

To understand human behavior we must not just recognize individual actions but model possibly complex group activity and interactions. Hierarchical models obtain the best results in group activity recognition but require fine grained individual action annotations at the actor level. In this paper we show that using only skeletal data we can train a state-of-the art end-to-end system using only group activity labels at the sequence level. Our experiments show that models trained without individual action supervision perform poorly. On the other hand we show that pseudo-labels can be computed from any pre-trained feature extractor with comparable final performance. Finally our carefully designed lean pose only architecture shows highly competitive results versus more complex multimodal approaches even in the self-supervised variant.
Title : Active viral population dynamics in frozen Arctic peat soil revealed with H 218 O stable isotope probing metagenomics Running title : SIP-metagenomics of arctic peat virus populations

Winter soil processes are critical to the carbon balance of northern ecosystems, yet the microbial ecology governing biogeochemical cycling in frozen soils is largely unknown. We used stable isotope probing targeted metagenomics to reveal the genomic potential of active microbial populations, with an emphasis on viruses, in soils. Peat soils were incubated under simulated winter conditions (subzero and anoxic) with H2O or natural abundance water for 184 and 370 days. Isotope incorporation revealed 46 active bacterial populations (MAGs; spanning 9 bacterial phyla) and 243 active viral populations (vOTUs). Active hosts were predicted for 33% of the active vOTUs and were some of the most abundant MAGs, having capacity for fermentation and carbohydrate utilization. Additionally, almost one-third of vOTUs carried auxiliary metabolic genes spanning five functional categories, highlighting the potential impact of viruses in microbial biogeochemistry. CO2 production throughout the incubation supports our evidence of microbial activities under winter conditions. Our results revealed a multi-trophic and changing microbial community in tandem with a changing viral community targeting dominant active bacteria consistent with the “kill-the-winner” hypothesis. These data have important implications for lowtemperature soil processes in northern peatlands and reveal active host-linked soil viral ecology, with potential multifaceted biogeochemical impacts.
Measured and Estimated pH Change and Trends Throughout the Southern Ocean, 1972-2011

Recent studies have shown that the Southern Ocean is experiencing changes in its carbon chemistry due to the uptake of anthropogenic CO2 from the atmosphere, a process that lowers the pH (Sabine et al., 2004). These changes have reduced the surface carbonate concentration of the Southern Ocean by more than 10% when compared to preindustrial levels (Orr et al., 2005). Here, we have used total alkalinity, dissolved inorganic carbon, and the partial pressure of CO2 in seawater to quantify the change of pH throughout the Southern Ocean. We calculated pH at every location where two of the parameters were measured on over sixty hydrographic cruises, and created an array of new pH data. We were able to calculate over 41 thousand pH data points, resulting in a grand total of 73,477 calculated and measured pH values for our analysis. Profiles of decadal pH change from multiple repeat cruises were used to determine focus regions where pH change was most dramatic for further trend analysis. Using measurements from the 1990s to the present day we examined the vertical and spatial heterogeneity in pH trend patterns, and commented on the statistical significance of pH trends. We have determined that pH has significantly changed in the top 1 km of the water column throughout the Southern Ocean by −0.03 ± 0.03 pH units. Implications of these results will be used to assess carbon-climate model performance.
Effects of Confinement and Shear on the Properties of Thin Films of Thermotropic Liquid Crystal

The surface forces apparatus technique was used to measure the normal forces, thin film viscosity, and lateral (frictional) forces between two surfaces interacting across 4‘-n-octyl-4-cyanobiphenyl (8CB), to determine the effects of confinement (film thickness) and shear (sliding velocity) on the ordering of the smectic-A and the nematic phases. The surface roughness and hydrophobicity were altered by different adsorbed surfactant monolayers to study the effects on the orientation and anchoring of 8CB. The positional order increases as the surface separation decreases, and the orientational ordering increases with increasing shear rate. The friction force in the planarly oriented nematic phase resembles results for alkanes, while the better ordered smectic-A phase exhibits lower friction forces. The liquid crystal orients perpendicularly to surfactant-coated surfaces. On a loose-packed surfactant layer, it becomes strongly anchored, which increases the resistance to sliding, while on a close-packed monola.
Thermal Gasification of Agro-industrial Wastes

This article intends to demonstrate the experimental results of thermal gasification of biomass, on the energy potential of agro-industrial wastes in the region of Portalegre. Assays were performed using a pilot thermal gasification of biomass, with bubbling fluidized bed, at temperatures of 750◦ C, 800◦ C and 850◦ C, mass flow rate 30 kg/h 40 kg/h 60 kg/h. The results of the study demonstrate the negative impact that increasing of the temperature causes on the calorific value of the synthesis gas. Tests conducted at lower temperatures, 750◦ C, show an increase in the concentration of CO in order of 10%-20% and a decrease in the concentration of N2 in order of 10%, and CO2 in the range of 2% relative to the tests at a temperature of 850◦ C. The results also show that, increasing the mass flow rate in coffee husk biomass, is responsible for increasing the calorific value of the synthesis gas, particularly at increased concentration of CO, over 10% comparing rates of 30% and 60% feeding, and increased concentration H2, in some of the tests reaches almost 50%. For miscanthus and peach pit biomasses the increasing mass flow rate was adverse for the caloric value of synthesis gas. However, increased temperature favors a decreased production of tars in the thermal gasification process. The study demonstrates the feasibility and potential of coffee husk, with calorific values around 4 MJ/kg to 6 MJ/kg for energy recovery through thermal gasification.
Localized, Adaptive Recursive Partial Least Squares Regression for Dynamic System Modeling

A localized and adaptive recursive partial least squares algorithm (LARPLS), based on the local learning framework, is presented in this paper. The algorithm is used to address, among other issues in the recursive partial least-squares (RPLS) regression algorithm, the “forgetting factor” and sensitivity of variable scaling. Two levels of local adaptation, namely, (1) local model adaptation and (2) local time regions adaptation, and three adaptive strategies, (a) means and variances adaptation, (b) adaptive forgetting factor, and (c) adaptive extraction of local time regions, are provided using the LARPLS algorithm. Compared to RPLS, the LARPLS model is proven to be more adaptive in the face of process change, maintaining superior predictive performance, as demonstrated in the modeling of three different types of processes.