Miracle-dz/UniFAR-FTUs huggingface dataset:
Two Level Logistic Regression Model of Factors Influencing in Early Childbearing and its Consequences on Nutritional Status of Bangladeshi Mothers: Nationally Representative Data

Background: Early marriage and early pregnancy is a social as well as a medical problem in developing countries, which may have an impact on the health and nutritional status of teenage mothers. Therefore, the objective of this study was to determine the influencing factors of early childbearing (ECB) and its consequences on the nutritional status of Bangladeshi mothers. Methods: Data was extracted from Bangladesh Demographic and Health Survey (BDHS-2014). Women who delivered their first baby before the age of 20 years are considered ECB mothers. Nutritional status was measured by body mass index (BMI). Chi-square test and both univariable and multivariable logistic regressions, and z-proportional test were used in this study. Results: The prevalence of ECB among currently non-pregnant mothers in Bangladesh was 83%. The logistic regression model provided the following six risk factors of ECB: (i) living location (division) (p<0.01), (ii) respondents’ education (p<0.05), (iii) husbands’ education (p<0.05), (iv) household wealth quintiles (p<0.01), (v) respondents’ age at first marriage (p<0.05), and (vi) number of family members (p<0.05). Still, 17.6% of mothers were undernourished in Bangladesh; among them, 18.5% and 13.4% were ECB and non- ECB mothers respectively. ECB mothers had a greater risk to be undernourished than non-ECB mothers [COR=1.26, 95% CI: 1.11-1.43; p<0.01]. Conclusions: In this study, some modifiable factors were found as predictors of ECB in Bangladesh. ECB mothers were more prone to become under-nourished. These findings can be considered to reduce the number of ECB mothers in Bangladesh consequently improve their nutritional status.
Food and beverage stocks responding to COVID-19

This paper investigated how food and beverage (F&B) stocks react to COVID-19. The event study method was applied to four events, including the first and second events were the first COVID-19 positive patients detected in the largest and second-largest economic center of Vietnam. The third and fourth events are related to strong measures to prevent the spread of COVID-19: The nationwide lockdown at the beginning of the second quarter of 2020, and the lockdown of Danang at the beginning of the third quarter of 2020. The results show that the reaction of F&B stock prices to events supports the semi-strong form of efficient market theory. The strong and lasting negative reaction of F&B stocks to the first event can be explained by surprise (first case in Vietnam) and Hochiminh city's economic engine driving role in the development of Vietnam's economy. The study finds that heuristic decision-making from nationwide lockdowns (suppression of supply chains during lockdowns) can explain the sub-sector of farming-fishing-ranching products reacted more strongly to the lockdown event in Danang. Based on the research results, this paper provides some policy implications for managers and notes for securities investors. © 2021 LLC CPC Business Perspectives. All rights reserved.
On the merits of longitudinal multiple group modelling: an alternative to multilevel modelling for intervention evaluations

ABSTRACT Multilevel modelling (MLM) is the most frequently used approach for evaluating interventions with clustered data. MLM, however, has some limitations that are associated with numerous obstacles to model estimation and valid inferences. Longitudinal multiple-group (LMG) modelling is a longstanding approach for testing intervention effects using cluster-sampled data that has been superseded by the rise of MLM approaches, but the LMG approach can have advantages when research questions do not pertain to predicting variability at the higher levels. In this paper, we first review the advantages and limitations of MLM and LMG approaches. Second, steps in the estimation of an LMG model are presented, with some recent upgrades and changes in the modelling strategy that have particular utility for evaluating interventions. We discuss the advantages of the LMG approach as a guided confirmatory model-testing framework and how the approach places a premium on avoiding Type II errors, particularly when complex interactions are potentially at play.
High school learners’ perceptions of value as motivation to choose music as an elective in Gauteng, South Africa

A growing concern is the low number of learners who choose to participate in music during their high school years. Extending previous research by McPherson and O’Neill, this study explored South African high school learners’ motivation and value perceptions to continue with music as an elective in grade 10. A further objective was to understand how value perceptions vary according to grade, gender, and intention to continue with music. 180 music leaners in grades 9 and 10 completed questionnaires modeled on those by McPherson and O’Neill, based on the expectancy-value framework. Results show that learners value music less than physical sciences and life sciences/biology, but more than history, geography, and accounting/EMS. Overall, outcomes show that learners who select music exhibit higher (and more intrinsic) value perceptions for music than for other electives and hold a higher value perception for all electives combined. Males hold higher value perceptions for music than females.
User State Modeling Based on the Arousal-Valence Plane: Applications in Customer Satisfaction and Health-Care

The acoustic analysis helps to discriminate emotions according to non-verbal information, while linguistics aims to capture verbal information from written sources. Acoustic and linguistic analyses can be addressed for different applications, where information related to emotions, mood, or affect are involved. The Arousal-Valence plane is commonly used to model emotional states in a multidimensional space. This study proposes a methodology focused on modeling the user’s state based on the Arousal-Valence plane in different scenarios. Acoustic and linguistic information are used as input to feed different deep learning architectures mainly based on convolutional and recurrent neural networks, which are trained to model the Arousal-Valence plane. The proposed approach is used for the evaluation of customer satisfaction in call-centers and for health-care applications in the assessment of depression in Parkinson’s disease and the discrimination of Alzheimer’s disease. F-scores of up to 0.89 are obtained for customer satisfaction, of up to 0.82 for depression in Parkinson’s patients, and of up to 0.80 for Alzheimer’s patients. The proposed approach confirms that there is information embedded in the Arousal-Valence plane that can be used for different purposes.
A method for well log data generation based on a spatio-temporal neural network

Well logging helps geologists find hidden oil, natural gas and other resources. However, well log data are systematically insufficient because they can only be obtained by drilling, which involves costly and time-consuming field trials. Additionally, missing or distorted well log data are common in old oilfields owing to shutdowns, poor borehole conditions, damaged instruments and so on. As a workaround, pseudo-data can be generated from actual field data. In this study, we propose a spatio-temporal neural network (STNN) algorithm, which is built by leveraging the combined strengths of a convolutional neural network (CNN) and a long short-term memory network (LSTM). The STNN exploits the ability of the CNN to effectively extract features related to pseudo-well log data and the ability of the LSTM to extract the key features from well log data along the depth direction. The STNN method allows full consideration of the well log data trend with depth, the correlation across different log series and the actual depth accumulation effect. The method proved successful in predicting acoustic sonic log data from gamma-ray, density, compensated neutron, formation resistivity and borehole diameter logs. Results show that the proposed method achieves higher prediction accuracy because it takes into account the spatio-temporal information of well logs.
Premorbid language function: a prognostic factor for functional outcome in aphasia?

ABSTRACT Background Stroke lesion size and location are understood to be more accurate predictors of recovery from aphasia than demographic variables such as age, education, or socioeconomic status. Aims We hypothesise that markedly high premorbid language function can influence functional recovery from aphasia. Methods & Procedures This case study reports the recovery of a 64-year-old right-handed male, with large left posterior cerebral artery territory infarct involving the thalamus, occipital lobe and posteromedial temporal lobe. The report is informed by retrospective review of clinical notes, language assessment, and interviews with the participant and his family. Premorbidly, he had acquired fluency in five additional languages in early adulthood, followed by a career in senior roles within corporate communications. Outcomes & Results Following severe expressive aphasia in the acute period, the subacute and chronic phases were characterised by residual mild anomia and cognitive communication difficulties apparent on formal assessment, yet masked in functional contexts through compensatory strategies and preservation of an authoritative premorbid communication style. Conclusions The current report provides single-case evidence that individuals with markedly high premorbid metalinguistic skills may, in functional contexts, be able to compensate for expressive aphasic deficits and preserve their communicative competence. The discrepancy between the participant’s performance on formal versus informal language assessment underscores the necessity for both perspectives for accurate diagnosis of aphasia. Consideration of premorbid language function can usefully guide clinical decision-making about intervention for individuals with aphasia.
Enhancing Understanding of the Hydrological Cycle via Pairing of Process‐Oriented and Isotope Ratio Tracers

The hydrologic cycle couples the Earth's energy and carbon budgets through evaporation, moisture transport, and precipitation. Despite a wealth of observations and models, fundamental limitations remain in our capacity to deduce even the most basic properties of the hydrological cycle, including the spatial pattern of the residence time (RT) of water in the atmosphere and the mean distance traveled from evaporation sources to precipitation sinks. Meanwhile, geochemical tracers such as stable water isotope ratios provide a tool to probe hydrological processes, yet their interpretation remains equivocal despite several decades of use. As a result, there is a need for new mechanistic tools that link variations in water isotope ratios to underlying hydrological processes. Here we present a new suite of “process‐oriented tags,” which we use to explicitly trace hydrological processes within the isotopically enabled Community Atmosphere Model, version 6 (iCAM6). Using these tags, we test the hypotheses that precipitation isotope ratios respond to parcel rainout, variations in atmospheric RT, and preserve information regarding meteorological conditions during evaporation. We present results for a historical simulation from 1980 to 2004, forced with winds from the ERA5 reanalysis. We find strong evidence that precipitation isotope ratios record information about atmospheric rainout and meteorological conditions during evaporation, but little evidence that precipitation isotope ratios vary with water vapor RT. These new tracer methods will enable more robust linkages between observations of isotope ratios in the modern hydrologic cycle or proxies of past terrestrial environments and the environmental processes underlying these observations.
Exploring the Relationship Between Extended 3Ps and Store Choice: Moderating Role of Consumer Demographics

This study is an attempt to bridge the link between factors representing stores’ decision boundaries and consumers’ decision-making criteria. It also explores the impact of consumer demographic variables on the relationship between the influence of extended 3Ps (process, people and physical evidence) and store choice. Around 290 responses were found suitable for further statistical refinements through a structured survey. After carrying out the reliability and validity properties of the data, structure equation modelling was applied. The findings of the study revealed that individual demographics (income, age and gender) moderated the relationship between the extended 3Ps and consumer store choice for shopping (in this study example of shopping smartphone). However, occupation and education were found to have no different influence by separate segments of population. Also, all demographics have an interpretation for marketers, which are discussed in the conclusion section. The framework used in this article opens up new vistas for research on exploring different consumer segments and service decision-making in retail marketing.
Increased Moisture Uptake of NCM622 Cathodes after Calendering due to Particle Breakage

As moisture presents a critical contamination in lithium-ion batteries (LIBs), electrodes and separators need to be post-dried before cell assembly. The moisture adsorption, desorption and re-adsorption of electrodes during processing is strongly dependent on their material system, manufacturing route and microstructure. The microstructure, in turn, is significantly defined by the coating density, which is adjusted by calendering. As a consequence, the calendering step is expected to directly influence the moisture sorption behavior of electrodes. This is why the influence of different coating densities and structural properties on the moisture content of NCM622 cathodes was investigated in this study. For increasing density, an increasing moisture content was detected by Karl Fischer Titration and sorption measurements. SEM and BET analyses showed an increasing amount of NCM622 particle breakage, accompanied by a rising surface area. Hence, the increased moisture uptake of cathodes with higher density is mainly caused by a higher surface area, which results from particle cracking and breakage during calendering. Electrochemical analysis showed that the increased active surface area of cathodes with higher densities leads to a good performance during formation and at low C-rates. However, the reduced porosity impairs the ionic conductivity and causes capacity loss at higher C-rates.
The Effect of the Heavy Metal Mercury (Hg) Concentration on the Growth Rate of Pilsbryoconcha spp Mussel

The purpose of this study was to determine the effect of heavy metal mercury (Hg) concentration on the growth rate of Pilsbryoconcha spp mussels and to compare the growth rates of Pilsbryoconcha spp mussels exposed to mercury at different concentrations. The type of research used is quantitative research with experimental methods. The study used a completely randomized design with 3 treatments and 6 repetitions. The treatments were different levels of mercury, namely P0, P1 and P2 (0, 0.5 and 1 ppm). Data were analyzed for variations using ANOVA. If there is a significant effect, then proceed with the Duncan Multiple Range Test (DMRT) with α 5%. The length growth rates in treatment P0, P1 and P2 (0, 0.5 and 1 ppm Hg) ranged from 0.12 to 0.22; 0.08-0.09 and 0.03-0.1 cm/observation or there is a decrease in the length growth rate from the control treatment of 0.16 cm/day to only 0.006 cm/day at P1 treatment, and the more decrease at P2 0.002 cm/day. The weight gain along observation is ranged from 0.071-0.349 g (P0), 0.031-0.077 at P1, and decreased at P2 reaching -0.03 to 0.006 g. The average daily length of mussel was 0.012; 0.006 and 0.004 cm/day in P0, P1 and P2 respectively.The average daily weight rate was 0.052 g/day in the P1 and -0.068 g/day in P2, while the control (P0) was 0.158 g/day. The average relative length of mussels was 0.02,0.01 and 0.007cm, whereas the average weight growth of mussel was 0.081; 0.024 and -0.035 g. Lengtht and weight growth rate of mussels in P0 and P1 treatment are not different significantly, but significantly difference in P2 treatment. This shows that mercury is very dangerous for the life of Pilsbryoconcha spp and can reduce the weight and inhibit length growth mussel during maintenance.
Dawning of a new age? Economics journals’ data policies on the test bench

In the field of social sciences and particularly in economics, studies have frequently reported a lack of reproducibility of published research. Most often, this is due to the unavailability of data reproducing the findings of a study. However, over the past years, debates on open science practices and reproducible research have become stronger and louder among research funders, learned societies, and research organisations. Many of these have started to implement data policies to overcome these shortcomings. Against this background, the article asks if there have been changes in the way economics journals handle data and other materials that are crucial to reproduce the findings of empirical articles. For this purpose, all journals listed in the Clarivate Analytics Journal Citation Reports edition for economics have been evaluated for policies on the disclosure of research data. The article describes the characteristics of these data policies and explicates their requirements. Moreover, it compares the current findings with the situation some years ago. The results show significant changes in the way journals handle data in the publication process. Research libraries can use the findings of this study for their advisory activities to best support researchers in submitting and providing data as required by journals.
DETERMINATION OF BIOACTIVE COMPOUNDS AND BIOLOGICAL PROPERTIES OF TAMARINDUS INDICA STEM BARK EXTRACT AGAINST SELECTED MICROBES

Objectives: The present study determines the bioactive constituents in the stem bark of Tamarindus indica and also assesses its biological properties against Staphylococcus aureus and Pseudomonas aeruginosa in vitro. Methods: The clinical isolates were collected from wounds of patients and cultivated in a nutrient broth. The extract of stem bark of T. indica was added to the bacteria in Muller Hinton ager to test its biological activity. Results: Crude extracts of T. indica showed potency against S. aureus with the highest zone of inhibition of 19.00 ± 0.60 mm at 200 mg/ml concentration of the extract. The extract showed potency against P. aeruginosa at varying concentrations with a zone of inhibition between 13.5 ± 0.20 mm and 6.25 ± 0.45 mm. However, the extracts of T. indica recorded a minimum inhibitory concentration (MIC) value of 6.25 mg/ml and an minimum bactericidal concentration value of 25 mg/ml against P. aeruginosa and also recorded a MIC value of 3.13 mg/ml against S. aureus. The preliminary analysis of bioactive compounds of the crude extract of T. indica showed that it has a wide range of phytochemical constituents including saponins, alkaloids, flavonoids, tannins, and anthraquinones. Conclusion: The results suggested that the extract of stem bark of T. indica has the potential of being the best alternative antimicrobial agent use to cure infectious diseases caused by S. aureus and P. aeruginosa.
First Observation of the Nocturnal Cleaning Relationship between Common Octopus Octopus vulgaris (Cuvier, 1797), and Indo-Pacific Palaemonid Shrimp, Urocaridella pulchella Yokeş & Galil, 2006 from the Iskenderun Bay, Eastern Mediterranean Coast of Turkey

During a Scuba survey in Iskenderun Bay at night time on November 2018, a female Urocaridella pulchella individual was observed with nocturnal cleaning on Octopus vulgaris at 16 m in depth. Some photos of the shrimp and its symbiont were taken. Although the nocturnal cleaning relationship between U. pulchella and various marine species has been reported in some studies, the nocturnal cleaning relationship between O. vulgaris and U. pulchella has been observed for the first time. In addition, in the present study, we first reported Indo-Pacific palaemonid shrimp U. pulchella which was encountered in its natural habitat during an underwater observation from Iskenderun Bay, and this report is the first observation for this area and fills a gap in the distribution range of this species.Keywords: eastern Mediterranean, Iskenderun coast, nocturnal cleaning, Palaemonidae, Turkey.
Predictors for distributed ledger technology adoption: integrating three traditional adoption theories for manufacturing and service operations

ABSTRACT It is expected that blockchain technology will bring a disruptive paradigm shift in the manner in which transactions are conducted in the manufacturing and service enterprises. By eliminating the drawbacks of trust-related issues in a business chain, the distributed database of blockchain can bring transparency with pseudonymity and irreversibility of records. In this paper, we advance the limited literature on DLT and its adoption in the manufacturing and service enterprises. The proposed model is based on the integration of three traditional adoption theories namely Technology Acceptance Model (TAM), Technology Readiness Index (TRI) and Theory of Planned Behavior (TPB). Based on a survey of 211 experts of Pakistan, the proposed model was tested using structural equation modelling. The study result confirms that Theory of Planned Behavior and TAM play a key role in the disruptive technology implementation. It is one of the early studies on blockchain technology adoption in the manufacturing and service enterprises and the study results indicate that more manufacturing and service industries are transforming to intelligent operations. Smart manufacturing system through blockchain applications has become the focus of attention of businesses.
Impact of Soil Test Based Fertilizer Application on Yield, Soil Health and Economics in Rice

Frontline demonstrations were carried out to study the soil test-based fertilizer application on yield, soil health and economics in rice during the kharif seasons of 2017, 2018 & 2019 in farmers’ fields of Kurnool district of Andhra Pradesh. The demonstrations conducted in ten locations revealed that application of nitrogen, phosphorus and potassium based on soil test values resulted in an average yield increase of 5.01 per cent over the farmer’s practice. Demonstration plots recorded an average B: C ratio of 2.9 against farmers’ practice of 2.4 and the technology index reduced from 3.84 to 1.53 per cent. The organic carbon content increased from 0.45 to 0.50 per cent due the application of farmyard manure based on soil test value. The soil test based fertilizer application resulted in higher yield, net returns, B:C ratio and organic carbon content and low technology index indicates the feasibility of technology to adopt at farmers’ level.