Miracle-dz/UniFAR-FTUs huggingface dataset:
Classroom Conversation: The Texture of Students’ Contributions in Secondary School Mathematics

: This study is part of a larger study which explores the classroom conversation: the texture of students’ contribution in secondary school Mathematics. For this part, it uses qualitative research design of two teaching strategies on Sequence and Series (Arithmetic & Geometric Progression) in Mathematics. The qualitative method examines and interprets the observations on the texture of classroom conversation via the use of videotape and transcription. The target population for the study consists of all Senior Secondary Two (SS2) students in the public secondary schools in Lagos State. The study samples involve two SS2 students of public schools in the Badagry Local Government Area. In analysing qualitative data, descriptive statistics, mean, standard deviation, frequency counts, percentage bar chart are used. The findings of the research question show differences in the texture of the students’ contributions in the treatment classroom and those in the conventional classroom. It is concluded that the texture of the students’ contributions is highly more corresponding in the treatment classroom than in the conventional classroom and it is implicated towards their learning. It is however recommended that there is need to often organize seminars or workshops in training the teachers on the contemporary concepts in teaching and learning Mathematics.
Breeding habitat selection of urban peregrine falcons (Falco peregrinus) in London

Understanding habitat selection by individual animals within their home range is crucial to facilitating their conservation. Peregrine falcon (Falco peregrinus) populations are increasingly urbanised, but little is known about their urban habitat use. In this study, we analysed the breeding habitat selection of peregrine falcons in London, United Kingdom, based on nest site locations identified through records of public sightings submitted to an online database between 2003 and 2018. We found peregrines displayed a preference for nesting in proximity to waterbodies, built-up areas and public parks and gardens, while wooded, agricultural and allotments areas were least preferred. We hypothesise that peregrines seek contrasting topography that proves advantageous for hunting in the vicinity of their nests, resulting in their selection of breeding sites within tall buildings that are adjacent to suitable foraging areas. From these findings, we conclude that (i) social drivers such as demand for green spaces and waterbodies near buildings shape peregrine nesting opportunities in the city and (ii) for urban planning to support conservation, we need further understanding of how each type of greenspace may be used differentially by raptors.
The effect of supply chain linkages on the business performance: Evidence from Vietnam

The study aims to examine the impact of supply chain linkages on the performance of businesses. Quantitative research is used by implementing the analysis of the SEM linear structure model. A survey is conducted consisting of 598 samples - experienced managers who had the knowledge of the management of supply chain activities in enterprises in Vietnam. Research results show that supply chain linkages, although not having a direct impact, has an indirect impact on the business performance of enterprises through the intermediary factors of trust and business strategy and the opportunistic behaviors of the participating members. Also, research has demonstrated that opportunistic behaviors have negative effects on trust among members of the supply chain.
Prevalence of depression and anxiety in Dhat syndrome patients attending a psychosexual clinic in the Psychiatry Department of a tertiary health care centre in Ahmedabad

Introduction: The term Dhat comes from the Sanskrit word Dhatu . There have been mentions of various syndromes related to semen loss not only in cultures of developing countries but also in the western world. Dhat syndrome is mentioned in the ancient Sushrut-Samhita . As per DSM-V, Dhat syndrome is considered a cultural explanation of distress for patients who refer to diverse symptoms, such as anxiety, fatigue, weakness, weight loss, impotence, other multiple somatic complaints, and depressive mood. Aim of the study: To determine the prevalence and severity of depression and anxiety in patients with Dhat syndrome. Material and methods: All consecutive patients (54) presenting with the complaint of Dhat emission were included. Patients who were non-consensual, having depression and anxiety before onset of Dhat syndrome and those having sexually transmitted infections (STIs) or any organic cause for whitish discharge from the penis were excluded. A semi-structured questionnaire of socio-demographic characteristics and variables regarding sexual history related to Dhat was used. Hamilton Depression (HAM-D) Scale and Hamilton Anxiety (HAM-A) Scale were used. Results: Of the 54 patients about 25.93% had mild symptoms of depression, 14.81% had moderate severity, while 9.26% had severe symptoms of depression, while the remaining 50% of them were normal. While 74% had anxiety of mild severity, 19% had mild to moderate severity and 7% moderate to severe intensity of anxiety. Also 51.85% had comorbid sexual dysfunctions (erectile dysfunction – ED, premature ejaculation – PME). Conclusions: The primary disease, being depression and anxiety, which are often missed and are resistant to treatment due to their strong basis in cultural misbelief of semen loss, needs to be tackled aggressively.
Role of The Gut Microbiota in Mental Health

The human gastrointestinal tract contains distinct microbial communities that differ in composition and function depending on several factors such as age, body location, ethnicity, geography, etc. There is evidence of the bidirectional interaction of the gut microbiota-brain axis and its role in mental health. In this mini review we attempt to summarize and comment on some relevant studies evaluating the role of the gut microbiota in mental health in humans.
The importance of soccer literacy in the education and socialization of adolescents – Czech and Polish cases

ABSTRACT This study aims to (1) identify trends and differences between boys and girls, concerning their preference for soccer; (2) determine the associations between preferring soccer, practicing soccer, and fulfiling physical activity recommendations; (3) and support a more effective acquisition of soccer literacy in the Czech Republic and Poland. The results show that soccer is the most preferred team sport for 32.9% of Czech boys versus 7.5% of Czech girls, while 46.7% of Polish boys preferred it, as compared to 7.7% of Polish girls. Overall, boys and girls who prefer soccer have a greater chance of fulfiling physical activity recommendations. Differences in preference and participation illustrate the importance of creating conditions for boys and girls to participate in soccer, futsal, futnet, and beach soccer. Soccer literacy may significantly support the acquisition of physical, health, and social literacy.
Ethanol Partial Oxidation over VOx/TiO2 Catalysts: The Role of Titania Surface Oxygen on Vanadia Reoxidation in the Mars–van Krevelen Mechanism

The mechanism for the reoxidation step in the Mars–van Krevelen mechanism for ethanol partial oxidation over vanadia anchored on titanium oxide is examined. Kinetic parameters such as ethanol heat of adsorption, the activation energy for the rate-limiting step (α-hydrogen abstraction on the adsorbed ethoxide) were obtained while the energetics of the catalyst reoxidation step were explored. A comparison of the parameters obtained from kinetic analysis and the apparent activation energies reported in the literature indicated that a kinetic model that incorporates a catalyst reoxidation step, where molecular oxygen adsorbs into a titania vacancy, accurately predicted the kinetic parameters. In contrast, a model where molecular oxygen directly adsorbs on the reduced vanadia resulted in an underestimation of the ethanol heat of adsorption and activation energy for the α-hydrogen abstraction step. A computational analysis was implemented to elucidate a mechanistic pathway for reduced vanadia that incorporates .
Computational modeling Quantifying cell turnover using CFSE data

The CFSE dye dilution assay is widely used to determine the number of divisions a given CFSE labelled cell has undergone in vitro and in vivo. In this paper, we consider how the data obtained with the use of CFSE (CFSE data) can be used to estimate the parameters determining cell division and death. For a homogeneous cell population (i.e., a population with the parameters for cell division and death being independent of time and the number of divisions cells have undergone), we consider a specific biologically based bSmith–MartinQ model of cell turnover and analyze three different techniques for estimation of its parameters: direct fitting, indirect fitting and rescaling method. We find that using only CFSE data, the duration of the division phase (i.e., approximately the S+G2+M phase of the cell cycle) can be estimated with the use of either technique. In some cases, the average division or cell cycle time can be estimated using the direct fitting of the model solution to the data or by using the Gett–Hodgkin method [Gett A. and Hodgkin, P. 2000. A cellular calculus for signal integration by T cells. Nat. Immunol. 1:239-244]. Estimation of the death rates during commitment to division (i.e., approximately the G1 phase of the cell cycle) and during the division phase may not be feasible with the use of only CFSE data. We propose that measuring an additional parameter, the fraction of cells in division, may allow estimation of all model parameters including the death rates during different stages of the cell cycle. D 2005 Elsevier B.V. All rights reserved.
Financial Conditions and Challenges among Public School Teachers: Its Implication to their Personal and Professional Lives

want, they must make choices related to both their goals and the means for reaching those goals. Individuals must anticipate the outcomes of alternative courses of action and calculate which deeds will be best for them. In the end, rational individuals choose the course of action that is likely to give them the greatest satisfaction. Hence, the teacher’s financial decisions and financial behavior correlate to financial condition. Just like Newton Laws in Physics, every action has an equal or opposite reaction. The theory of Scarcity of resources cited by Villegas (1991), and Machica, Jr. (2016) holds that a person has numerous wants and desires, but resources are limited and have alternative uses. Scarce resources need proper allocation to the different needs; if a person has only one need coping with scarcity would require only skills on how to get that need out of existing resources. However, since a person needs many items there arises the problem of determining the optimum Abstract: Financial challenges could embed in different circumstances. It would be personal and external factors that contributed to the existence of those challenges. It is based on individual perspectives and societal influences. Through qualitative research design specifically phenomenological approach, an interview was done. The selected public secondary school teachers of Proseridad, Agusandel Sur served as the key informants. The researchers used an interview guide questionnaire in the conduct of the interview. Then, it was recorded through an audio tape. Transcription and translation of the information were made. The information gathered was then interpreted through thematic analysis. Based on the findings, they have almost the same financial conditions and financial challenges encountered. Most of them were at nearly sufficient financial condition. Their monthly salary could not suffice on their monthly expenses for varied reasons. Most of them resorted to debts or loans in case of emergency purposes due to lack of emergency funds. The insufficiency of financial aspects leads to the problem encountered. Consequently, this will have an impact on their personal and professional lives.
Analysis of the Mathematical Thinking Levels of Individual and Team Athletes in Terms of Different Variables

This study was carried out to examine athletes' mathematical thinking levels who do individual and team sports in different variables. The study was conducted with a relational screening model, which is one of the general screening models. The data were collected by a survey method. "Mathematical Thinking Scale" was used to determine the mathematical thinking levels of athletes. The research population was composed of licensed athletes studying in high schools and universities in the 2020-2021 academic year in Turkey, while 459 licensed athletes determined among these students by a simple random method made up the sample group. The Independent-Samples T-Test was applied to determine the differences between the participants' gender, education and branch variables, and their mathematical thinking level. The Pearson Correlation test was applied to determine the relationship between age, sports year, and mathematical thinking levels. As a result of the analysis, a significant difference was observed favouring female participants in the gender variable and mathematical thinking skills sub-dimension. Additionally, it was determined that there was a significant positive relationship between the sports year and the reasoning sub-dimension. As a result, it is thought that the more inclusion of individual or team sports types in education programs will contribute to an individual's mathematics and academic success.
Eco-friendly synthesis of graphene–chitosan composite hydrogel as efficient adsorbent for Congo red

A simple approach was utilized to synthesize graphene/chitosan-based hydrogel using glutaraldehyde as crosslinking agent in room temperature. The composite aerogel was used for removal of cationic and anionic dyes from aqueous solution. It showed high adsorption capacity towards Congo red as an anionic dye. Adsorption experiments were performed based on various parameters, such as initial Congo red concentration, solution pH and contact time. The kinetics data were analyzed using four different models and the pseudo-second-order model best described the adsorption of Congo red aerogel. The Equilibrium adsorption isotherm data indicated that equilibrium data were fitted to the Langmuir isotherm. The maximum dye adsorption capacity calculated from the Langmuir isotherm equation was 384.62 mg g−1. Moreover, the aerogel was stable and easily recovered, and adsorption capacity was about 100% of the initial saturation adsorption capacity after being used three times.
Effectiveness of different liming materials on some soil properties and yield of crops

The stationary field experiment on the application of different types and doses of liming was started in Kupres plateu (1.184 m.a.s.l.), Bosnia and Herzegovina in the summer 2017. The aim of this three-year research was to determine the effectiveness of liming materials on changes in soil chemical properties and yield of cultivated crops. The used treatments were; control, crude dolomite from Rama, crude dolomite from Kupres, and commercial burnt lime; each applied at lower and higher dosages of 7 and 15 t/ha, respectively. Application of lime materials resulted in desirable reduction in soil acidity, and changes in the soil chemical complex with an increase of exchangeable Ca2+ after limestone application and increase of exchangeable Mg2+ after dolomite application. Commercial burnt lime (BLP) proved to be most effective, followed by crude dolomite Rama (CDR), while crude dolomite Kupres (CDK) proved to be the least effective. All cultivated crops (silage corn > triticale > spring barley) responded positively to the applied lime materials. In terms of investment and yields achieved, silage corn proved to be the most economical.
A novel antagonist of the prostaglandin E2 EP4 receptor inhibits Th1 differentiation and Th17 expansion and is orally active in arthritis models

Background and purpose: Rheumatoid arthritis (RA) is an autoimmune disorder involving subsets of activated T cells, in particular T helper (Th) 1 and Th17 cells, which infiltrate and damage tissues and induce inflammation. Prostaglandin E2 (PGE2) enhances the Th17 response, exacerbates collagen‐induced arthritis (CIA) and promotes inflammatory pain. The current study investigated whether selective antagonism of the PGE2 EP4 receptor would suppress Th1/Th17 cell development and inflammatory arthritis in animal models of RA.
Privatization of Public Services: A Systematic Review of Quality Differences between Public and Private Daycare Providers

ABSTRACT While the past decades have witnessed a growing proportion of publicly funded services delivered by private providers, analyses of the consequences for service quality are scarce. Economic theories promote privatization in markets that are competitive and when service quality is relatively easy to define and monitor, however, quasi-markets for public services seldom fulfill these assumptions. This article extends previous research by presenting the findings of an international systematic review of cross-sectoral studies on quality differences between public, non-profit and for-profit providers of daycare services. We find no indication in the literature of higher quality with private providers; if anything, the evaluative evidence suggests that public providers tend to offer slightly higher service quality. We discuss how these insights contribute to theoretical and empirical debates about public and private delivery of services and consider lessons for practice.
Removal of nitrobenzene from aqueous solution by adsorption onto carbonized sugarcane bagasse

A sorbent was prepared by charring sugarcane bagasse (SCB) and used to remove nitrobenzene from aqueous solution. The surface area, morphology, and functional groups of the adsorbent were characterized by Brunauer–Emmett–Teller method, scanning electron microscopy, and Fourier transforms infrared spectroscopy. Analysis indicated that oxygen-containing functional groups, such as C = O, –OH, –COOH, and C–O–C, may be involved in the adsorption process. The adsorption of nitrobenzene was investigated under different operating conditions, including adsorbent dosage, initial nitrobenzene concentration, pH, and contact duration. Four kinetic models were applied to describe the adsorption process. Results revealed that the optimal sorbent mass was 0.3 g/50 mL at pH 5.8 and 25°C. The kinetic data obeyed the pseudo-second-order kinetic model (R2 > 0.9965). In addition, Langmuir and Freundlich isotherm models were employed to describe the adsorption equilibrium. The Freundlich model presented better fitting for the adsorption equilibrium, suggesting that the carbonized SCB surface had a heterogeneous nature. The maximum adsorption capacities calculated by the Langmuir model were 38.27, 41.72, and 44.70 mg/g at 25°C, 35°C, and 45°C, respectively. The calculated values of ΔG0 and ΔH0 indicated the spontaneous and exothermic nature of the adsorption process at the considered temperature range. The adsorption mechanism of nitrobenzene onto carbonized SCB cannot be described either as physical adsorption or chemisorption. This study demonstrated that SCB biochar is a potential sorbent for removing nitrobenzene from aqueous solutions.
Tradeoffs in the Spatial and Spectral Resolution of Airborne Hyperspectral Imaging Systems: A Crop Identification Case Study

Airborne hyperspectral images are used for crop identification with a high classification accuracy because of their high spectral resolution, spatial resolution, and signal-to-noise ratio (SNR). However, the tradeoffs between the three core parameters of a hyperspectral imager (SNR, spatial resolution, and spectral resolution) should be considered for designing an efficient imaging system. Only a few reported studies on the analysis of the impact of SNR on identification accuracy are available. Further, the tradeoffs and mutual interactions among these parameters are rarely considered. In this empirical study, our aim was to understand the relationship among the core parameters and their effects on crop identification accuracy by analyzing the tradeoffs and mutual interactions among these parameters. We analyzed the hyperspectral images of a typical plain agricultural area in Xiongan, China, acquired by the newly developed sensor airborne multimodular imaging spectrometer (AMMIS). The fundamental images were transformed to form datasets with different ranges of spectral resolution, spatial resolution, and SNR using data reconstruction methods. We adopted the classification and regression tree (CART), random forest (RF), and k-nearest neighbor (kNN) classifiers, and observed the overall accuracy (OA) across the degraded hyperspectral datasets. The experimental results indicated that the OA decreased with a decreasing SNR. As the spectral resolution became coarser, the OA first increased, plateaued, and then decreased. However, the OA increased with decreasing spatial resolution. This study was performed with the goal of bridging the knowledge gap between the back-end hyperspectral sensor designing and its front-end applications.
Phytase from Weissella halotolerans: purification, partial characterisation and the effect of some metals

ABSTRACT In the study, phytase was purified in three simple steps comprising ammonium sulphate precipitation, anion exchange and gel filtration chromatography from Weissella halotolerans. The enzyme was obtained with a specific activity of 227.73 EU/mg and 6.52% recovery. The molecular mass of the enzyme was determined to be 41.52 kDa. The optimum pH and temperature for the enzyme were 6.0 and 50°C, respectively. Furthermore, the effects of metal ions on the enzyme were investigated. Ag+, Zn2+, Cr2+ and Fe2+ ions inhibited phytase by 21.86, 25.63, 32.82 and 90.43%, respectively, whereas Co2+, Cu2+, Pb2+, Cd2+ ve Mn2+ ions increased the enzyme activity.
Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: a case study in a citrus orchard and an onion crop

ABSTRACT This study aimed to compare and assess different Geographic Object-Based Image Analysis (GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) multispectral imagery. Two study sites were provided, a bergamot and an onion crop located in Calabria (Italy). The Large-Scale Mean-Shift (LSMS), integrated into the Orfeo ToolBox (OTB) suite, the Shepherd algorithm implemented in the Python Remote Sensing and Geographical Information Systems software Library (RSGISLib), and the Multi-Resolution Segmentation (MRS) algorithm implemented in eCognition, were tested. Four classification algorithms were assessed: K-Nearest Neighbour (KNN), Support Vector Machines (SVM), Random Forests (RF), and Normal Bayes (NB). The obtained segmentations were compared using geometric and non-geometric indices, while the classification results were compared in terms of overall, user’s and producer’s accuracy, and multi-class F-scoreM. The statistical significance of the classification accuracy outputs was assessed using McNemar’s test. The SVM and RF resulted as the most stable classifiers and less influenced by the software used and the scene’s characteristics, with OA values never lower than 81.0% and 91.20%. The NB algorithm obtained the highest OA in the Orchard-study site, using OTB and eCognition. NB performed in Scikit-learn results in the lower (73.80%). RF and SVM obtained an OA>90% in the Crop-study site.