Miracle-dz/UniFAR-FTUs huggingface dataset:
Depressive Symptoms and Associated Factors Among School Adolescents of Urban, Semi-Urban and Rural Areas in Bangladesh

Background: The purpose of this study was to investigate the prevalence of depressive symptoms and the factors associated with this condition among urban, semi-urban and rural adolescents in the Dhaka district of Bangladesh. Methods: A cross sectional study using two stage cluster sampling procedure was performed. A self-administered questionnaire was conveyed to 2355 adolescents from nine secondary schools of Dhaka district of Bangladesh. Of the respondents, 2313 completed the nine item Patient Health Questionnaire (PHQ-9). Besides, sociodemographic information, self-reported body image as well as modification of Leisure Time Exercise Questionnaire (LTEQ) and WHO Global PA Questionnaire (GPAQ) were used to determine the sociodemographic and lifestyle factors associated with depression among adolescents. Results: A total of 30.1% adolescents were found to be suffering from moderate to severely severe depression symptoms. Female (60.8%) were found suffering significantly more than male (39.2%). Sociodemographic factors, for example, residential setting and family size were found significantly associated with depression among adolescents. Adjusted estimate of logistic regression shows that physical inactivity (AOR: 1.44; 95% CI: 1.14-1.84), >2 hours/day screen time (AOR: 1.68; 95% CI: 1.39-2.03), sleep dissatisfaction (AOR: 3.23; 95% CI: 2.64-3.96), perceiving as underweight (AOR: 2.30; 95% CI: 1.70-3.13) were found to be significantly associated with depression among adolescents. Conclusions: Among urban, semi-urban and rural school adolescents in Dhaka, Bangladesh, depression is quite prevalent. To lessen the spread of depression among Bangladeshi adolescents, urgent steps should therefore be taken. Funding Statement: This study was funded by Ministry of Science and Technology of the People’s Republic of Bangladesh. Declaration of Interests: The authors declare that they have no complicit of interest. Ethics Approval Statement: Ethical approval was taken from Institutional Review Board, Jahangirnagar University (Ref No: BBEC, JU/ M/ 2019 (8) 3). Besides, all participants read, understood and signed a written consent form at the time of survey data collection.
Emerging Market & Mobile Technology Usage: Evaluating intention to use Mobile Banking in India

Mobile banking is one of the latest advancements in the financial sector with pragmatic value to both banks and clients. The swift progression of technology and gadgets has invigorated the financial industry towards urging clients to bank online. However, a report demonstrated that mobile banking acknowledgment was lower than internet banking and other mediums. Encouraging customers to utilize mobile phones for banking issues and negative patterns in acknowledging this innovation make it imperious to investigate the determinants that impact users’ intention towards mobile banking adoption. This investigation was completed in India's northern region and using the purposive sampling method, 584 respondents were focused on, which resulted in 403 functional responses. Using Structural Equation Modeling (SEM), the responses were analyzed, and the outcome uncovered that seven dimensions impact users' expectation to recognize mobile banking while two determinants have a negative impact.
The potential of silver nanoparticles to control Rhizoctonia solani (AG3-PT) growth in vitro

Silver nanoparticles (AgNPs) have been known to have anti-microbial properties and therefore have the potential to be used to control fungal plant pathogens. In this study we investigated the growth of a plant pathogenic fungus, Rhizoctonia solani (AG3-PT) in the presence of AgNPs. The effect of AgNPs at two different levels (20 and 50 mg L) on hyphal growth and sclerotium production and viability in R. solani was investigated. The results showed that at 20 mg AgNPs L R. solani hyphal growth was reduced along with the production of sclerotia. The results indicate that AgNPs have the potential to control R. solani growth and subsequent development of plant disease symptoms.
Nitrogen and Phosphorus Sources and Delivery from the Mississippi/Atchafalaya River Basin: An Update Using 2012 SPARROW Models

Nitrogen (N) and phosphorus (P) inputs throughout the Mississippi/Atchafalaya River Basin (MARB) have been linked to the Gulf of Mexico hypoxia and water‐quality problems throughout the MARB. To describe N and P loading throughout the MARB, SPAtially Referenced Regression On Watershed attributes (SPARROW) models were previously developed based on nutrient inputs and management similar to 1992 and 2002. In this study, refined SPARROW models were developed with higher resolution basin delineation, updated (2012) source inputs, improved calibration (load) targets, and additional statistical techniques than used in the previous SPARROW models. Based on the refined models, consistent with past models, N and P loads/yields were the highest from the central part of the MARB (Corn Belt) and along the Mississippi River. Agricultural activities remained the most important N and P source, but more so for N because its input, which could now be distinguished from atmospheric deposition, could be estimated. Natural loss of P from geologic material throughout the MARB was an important source, contributing about 23% of the total P from the MARB, and resulted in specific areas, such as Kentucky and Tennessee, being larger sources of P than previously estimated. This information can help managers decide where efforts will have the largest effects (highest ranked areas) on reducing nutrient loading to the Gulf hypoxia and what are the most important sources of N and P in these areas.
2 H and 18 O depletion of water close to organic surfaces

Abstract. Hydrophilic surfaces influence the structure of water close to them and may thus affect the isotope composition of water. Such an effect should be relevant and detectable for materials with large surface areas and low water contents. The relationship between the volumetric solid : water ratio and the isotopic fractionation between adsorbed water and unconfined water was investigated for the materials silage, hay, organic soil (litter), filter paper, cotton, casein and flour. Each of these materials was equilibrated via the gas phase with unconfined water of known isotopic composition to quantify the isotopic difference between adsorbed water and unconfined water. Across all materials, isotopic fractionation was significant (p
Genomic variability of Cirneco dell’Etna and the genetic distance with other dog breeds

Abstract Cirneco dell’Etna is an old Italian breed of scent hunting dogs. Commonly used genomic measures such as heterozygosity, fixation indexes, and runs of homozygosity can help to improve knowledge about its genetic diversity. This study aimed to: (i) investigate Cirneco’s genomic background, (ii) quantify its genomic inbreeding, and (iii) detect genomic regions differentiating the Cirneco’s two allowed coat colours, self-coloured fawn and tan and white. Canine 230 K SNP BeadChips was used to investigate 24 Cirneco (19 self-coloured fawn, and 5 tan and white) and other 106 dogs from eight phylogenetically and historically related breeds. The genetic distance, ancestry, and relationship among breeds were explored by multidimensional scaling, Reynolds distances, phylogenetic tree, and admixture analysis. The genomic inbreeding (F ROH) was calculated for each breed. Averaged Wright’s fixation index ST was used to identify the genes that most differentiated the two groups of Cirneco. All analyses highlighted that Segugio Italiano and Kelb tal Fenek are the closest breeds to Cirneco. Within the breed, tan and white subjects showed a more heterogeneous genetic background and a lower inbreeding in comparison with self-coloured fawn ones, even though more than half of the latter presented a superimposable admixture. The gene that most differentiated these two groups is Microphthalmia-Associated Transcription Factor (MITF), previously associated with white spotting in other breeds. Given the small size of the Cirneco population and its open registry, its management should carefully combine morphological and genealogical evaluations with genetic tools to identify the best breeders while maintaining an acceptable genetic pool. Highlights The genomic analysis demonstrated that Segugio Italiano and Kelb tal Fenek are genetically related to the Cirneco. The MITF gene is responsible for white blazing in Cirneco as in many other dog breeds. Genomic tools should be integrated with phenotypic and genealogic evaluations in the management of Italian autochthonous dog breeds to safeguard their welfare and biodiversity.
Integrated land and water-borne geophysical surveys shed light on the sudden drying of large karst lakes in southern Mexico

Abstract. Karst water resources play an important role in drinking water supply but are highly vulnerable to even slight changes in climate. Thus, solid and spatially dense geological information is needed to model the response of karst hydrological systems to such changes. Additionally, environmental information archived in lake sediments can be used to understand past climate effects on karst water systems. In the present study, we carry out a multi-methodological geophysical survey to investigate the geological situation and sedimentary infill of two karst lakes (Metzabok and Tzibana) of the Lacandon Forest in Chiapas, southern Mexico. Both lakes present large seasonal lake-level fluctuations and experienced an unusually sudden and strong lake-level decline in the first half of 2019, leaving Lake Metzabok (maximum depth ∼25 m ) completely dry and Lake Tzibana (depth ∼70 m ) with a water level decreased by approx. 15 m . Before this event, during a lake-level high stand in March 2018, we collected water-borne seismic data with a sub-bottom profiler (SBP) and transient electromagnetic (TEM) data with a newly developed floating single-loop configuration. In October 2019, after the sudden drainage event, we took advantage of this unique situation and carried out complementary measurements directly on the exposed lake floor of Lakes Metzabok and Tzibana. During this second campaign, we collected time-domain induced polarization (TDIP) and seismic refraction tomography (SRT) data. By integrating the multi-methodological data set, we (1) identify 5–6 m thick, likely undisturbed sediment sequences on the bottom of both lakes, which are suitable for future paleoenvironmental drilling campaigns, (2) develop a comprehensive geological model implying a strong interconnectivity between surface water and karst aquifer, and (3) evaluate the potential of the applied geophysical approach for the reconnaissance of the geological situation of karst lakes. This methodological evaluation reveals that under the given circumstances, (i) SBP and TDIP phase images consistently resolve the thickness of the fine-grained lacustrine sediments covering the lake floor, (ii) TEM and TDIP resistivity images consistently detect the upper limit of the limestone bedrock and the geometry of fluvial deposits of a river delta, and (iii) TDIP and SRT images suggest the existence of a layer that separates the lacustrine sediments from the limestone bedrock and consists of collapse debris mixed with lacustrine sediments. Our results show that the combination of seismic methods, which are most widely used for lake-bottom reconnaissance, with resistivity-based methods such as TEM and TDIP can significantly improve the interpretation by resolving geological units or bedrock heterogeneities, which are not visible from seismic data. Only the use of complementary methods provides sufficient information to develop comprehensive geological models of such complex karst environments
Forecasting of 10-Second Power Demand of Highly Variable Loads for Microgrid Operation Control

This paper addresses very short-term (10 s) forecasting of power demand of highly variable loads. The main purpose of this study is to develop methods useful for this type of forecast. We have completed a comprehensive study using two different time series, which are very difficult to access in practice, of 10 s power demand characterized by big dynamics of load changes. This is an emerging and promising forecasting research topic, yet to be more widely recognized in the forecasting research community. This problem is particularly important in microgrids, i.e., small energy micro-systems. Power demand forecasting, like forecasting of renewable power generation, is of key importance, especially in island mode operation of microgrids. This is due to the necessity of ensuring reliable power supplies to consumers. Inaccurate very short-term forecasts can cause improper operation of microgrids or increase costs/decrease profits in the electricity market. This paper presents a detailed statistical analysis of data for two sample low voltage loads characterized by large variability, which are located in a sewage treatment plant. The experience of the authors of this paper is that very short-term forecasting is very difficult for such loads. Special attention has been paid to different forecasting methods, which can be applied to this type of forecast, and to the selection of explanatory variables in these methods. Some of the ensemble models (eight selected models belonging to the following classes of methods: random forest regression, gradient boosted trees, weighted averaging ensemble, machine learning) proposed in the scope of choice of methods sets constituting the models set are unique models developed by the authors of this study. The obtained forecasts are presented and analyzed in detail. Moreover, qualitative analysis of the forecasts obtained has been carried out. We analyze various measures of forecasts quality. We think that some of the presented forecasting methods are promising for practical applications, i.e., for microgrid operation control, because of their accuracy and stability. The analysis of usefulness of various forecasting methods for two independent time series is an essential, very valuable element of the study carried out. Thanks to this, reliability of conclusions concerning the preferred methods has considerably increased.
Exploring how a digitally skilled teacher’s self-understanding influences his professional learning strategies. A research cooperation between a teacher and a researcher

ABSTRACT The call for digitalisation in compulsory and upper secondary schools implies the need for teachers to pursue professional development. Here, teachers’ self-understanding may influence how they use, relate to and learn about digital technologies. The purpose of this article is to explore how a teacher’s self-understanding influences his professional development activities and, in turn, is influenced by his learning. The case study focuses on one upper secondary school teacher’s endeavour to enact digital technologies and find suitable strategies for professional learning. This teacher and a researcher formed a reflective research partnership to explore how, and whether, the teacher’s self-understanding and professional learning strategies influenced each other. The findings show how his task perception changed over time from an emphasis on teaching to a greater emphasis on improvement, supporting colleagues in their learning and contributing to the professionalisation of the teaching community. This influenced his adoption of a self-directed learning strategy.
A National Survey of School Counselors’ Experiences With Student Death by Suicide

We examined school counselors’ experiences with student’s suicide. Our quantitative findings identified that encountering the death of a student by suicide is common for school counselors during their careers. School counselors reported a range of personal and professional reactions and relied on different sources of support following students’ deaths. School counselors who experienced student’s death by suicide had higher self-efficacy scores related to suicide interventions than those who had not experienced a student’s suicide.
Monochloropropanediols (MCPD) esters and glycidyl esters (GE) in infant formulas and challenges of palm oil industry in Malaysia: a review

Infant formula is an exclusive diet that offers the requisite nutrients for infants up to 6 months prior to the introduction of solids in their diet. Vegetable oils in infant formulas that serve as a source of fat could be contamination of monochloropropanediols (MCPD) and glycidol. The toxicity of MCPD and glycidol was highlighted in several studies implied health risk for exposed children, especially with their low body weight. This paper reviewed the occurrence of MCPD and glycidyl esters in infant formulas marketed in various countries, including risk assessment and associated estimated dietary exposure. From the selected studies published between 2015 to 2019, the presence of the contaminants was detected, but their concentrations decreased over the years indicating a low potential health risk to infants. These have been linked to the success of the vegetable oil producers' implementation of mitigation strategies. The paper also discusses the infant formula market in Malaysia, as well as the association of the use of palm oil in infant and follow-up formula in the Malaysian market. As one of the largest producers and exporters of palm oil and palm oil by-products, Malaysia is taking serious steps and the mitigation strategies it is exercising to reduce the level of MCPD and glycidol to comply with the regulation proposed by the European Commission. However, more studies are needed to gain a clearer view of the association between the use of palm oil in infant formulas and the occurrence of MCPD esters and glycidols, as well as their risk assessment.
Variability in tree water uptake determined with stable water isotopes in an African tropical montane forest

Ecohydrological processes in tropical rainforests are insufficiently understood, and existing studies yield contradictory results. We investigated relative contributions of different soil depths to tree water uptake of 83 trees and possible species‐specific differences in a 50 × 50 m forest plot at four dates in a tropical montane forest in Kenya using stable water isotopes and the Bayesian mixing model framework MixSIAR. We found distinct individual tree differences (e.g. Drypetes gerrardii taking 75% of its water from <0.5 m, or a rather large shift in uptake patterns based on the climatic conditions, that is the fourth sampling date), but no consistent species‐specific or small‐scale spatiotemporal patterns in water uptake and depth contributions. Soil water δ18O showed a lateral variation of up to 6‰, which was accounted for by a spatial interpolation of soil water isotopes and enabled us to improve allocations of water uptake sources to individual trees. Our results show that ignoring the lateral variability of water isotope signatures in soils complicates the applicability of a mixing model in this context and might be a widespread constraint reducing the validity and comparability of mixing model results. Further research on underlying processes of water fluxes in forest ecosystems is urgently needed and we point out the need for considering large individual differences in water uptake patterns and small‐scale variability of soil water isotopic composition despite homogeneous soil characteristics.
Defining the Peri-Urban: A Multidimensional Characterization of Spatio-Temporal Land Use along an Urban–Rural Gradient in Dar es Salaam, Tanzania

Highly dynamic peri-urban areas, particularly in the Global South, face many challenges including a lack of infrastructure, ownership conflicts, land degradation, and sustainable food production. This study aims to assess spatial land use characteristics and processes in peri-urban areas using the case of Dar es Salaam, Tanzania. A mixed-method approach was applied, consisting of expert interviews and spatial data analysis, on a local scale along an urban–rural gradient. Expert interviews were conducted during a field study and analyzed regarding the characteristics and processes of peri-urban land development. A GIS-based analysis of land use patterns was applied using satellite imagery and Open Street Map data to identify a number of variables, such as building density and proximity to environmental features. Results show specific patterns of land use indicators, which can be decreasing (e.g., house density), increasing (e.g., tree coverage), static (e.g., house size), or randomly distributed (e.g., distance to river), along a peri-urban gradient. Key findings identify lack of service structures and access to public transport as major challenges for the population of peri-urban areas. The combination of qualitative expert interviews and metrics-based quantitative spatial pattern analysis contributes to improved understanding of the patterns and processes in peri-urban land use changes.
Antecedents and Outcomes of Resident Empowerment through Tourism

Even though empowerment is a frequently mentioned keyword in resident attitude studies, the relationship network of this concept is rather vague. It is critical to understand the factors that influence empowerment, and factors that empowerment influences in return. Therefore, the current study modeled residents’ data from the top tourism destination in the United States—Orlando, Florida. Data from 415 residents were analyzed using partial least squares–structural equation modeling on SmartPLS to test the effects of residents’ involvement and economic benefits from tourism on their psychological, social and political empowerment, and thus the quality of life, and ultimately, place attachment. Findings revealed that psychological empowerment is the most significant dimension of resident empowerment influencing both place dependence and place identity, suggesting that residents hold special values for their place. Managerial and theoretical implications, along with limitations (in light of the project occurring pre-COVID-19) and future research opportunities are discussed.