Miracle-dz/UniFAR-FTUs huggingface dataset:
The Internet and Quality Social Studies Education for Sustainable Development in Post-Covid-19: a Review

The Internet has its fundamental prerequisite needed by all to outlive the challenges of the 21st century. Quality Social Studies Education for sustainable development is significantly necessary for today’s Nigeria in post-covid-19. The paper pointed out that the Internet can be used for quality Social Studies Education for sustainable development in Nigeria. Suggestions on how to use the Internet for quality Social Studies Education for sustainable development were made. The paper employed a qualitative study approach. It discussed the Internet and quality Social Studies Education for sustainable development. It further discusses Social Studies Education and the concept of the Internet. It also looked at various scholars’ views on sustainable development. It went further to x-rayed the interaction with the Internet and the Internet for quality Social Studies Education for sustainable development. These include, among others, exposure of Social Studies teachers to internet usage for quality Social Studies Education for sustainable development and making school Net, Nigeria Dig Net a reality in Nigeria.
A promising family literacy project based on male reading models

This article discusses an innovative family literacy project that was implemented in a community setting. Male trios consisting of a male relative, a struggling reader in elementary school and a pre-service teacher were created. The goal was 1) to develop student’s motivation to read by using male reading role models and allowing the student to read what he truly enjoys in a non-school environment and 2) document male reading practices as trios. To document the progression of four male trios, we used a semi-directed interview, a focus group and a logbook. The results of this multiple-case research study showed an improvement regarding the student’s motivation to read in the context of male trios, different reading practices inside the trios and a positive evolution in the relationship between the student and participating male relative has been observed.
Synthesis of Monoclinic scheelite BiVO4 by Simple Precipitation Method and Photocatalytic Performance under Visible-light Irradiation

Abstract: Visiblelight responsive photocatalyst BiVO4 were synthesized by simple precipitation method, following by calcination process. The phase structure, morphology, specific surface area and optical absorption properties of as-synthesized BiVO4 were characterized by XRD, SEM, BET, UV-Vis DRS and FTIR, respectively. Acid Black 10B was used as simulated dye wastewater to investigate the photocatalytic activity of BiVO4. The results indicate that the samples obtained under different calcination temperature are all monoclinic phase BiVO4. The band gap energy of BiVO4 calcined at 500 °C, 600 °C, 700 °C are 2.50 eV, 2.45 eV and 2.37 eV, respectively. BiVO4 calcinated at 500 °C or 600 °C show excellent photocatalytic activity, and the particles are sphericallike in shape. When the concerntration of dye is 20 mg/L, the dosage of BiVO4 is 200 mg/50 mL, visible light is used as irradiation source and reaction time is 60 min, the degradation rate of the dye can reach to about 100%. The degradation process can be considered as the first-order reaction kinetics.
Hydrogen isotopic exchange kinetics between organic matter and water: Implications for chemical evolution during meteorite parent body processing

The large variations in hydrogen isotope ratios found in insoluble organic matter (IOM) in chondritic meteorites may be attributed to hydrogen isotopic exchange between IOM and water during aqueous alteration. We conducted D–H exchange experiments (1) during synthesis of IOM simulant (hereafter called chondritic organic analog, COA) from formaldehyde, glycolaldehyde, and ammonia with water, and (2) with the synthesized COA with a secondary reservoir of water. The changes in the D/H ratios obtained by infrared spectra of the COA suggest that most of the hydrogen in the COA is derived from water during synthesis. We further investigated the kinetics of D–H exchange between D‐rich COA and D‐poor water, as well as the opposite case, D‐poor COA and D‐rich water. To help assess understanding exchange kinetics, two‐dimensional isotope imaging obtained using isotope microscope revealed that no gradient D–H exchange profiles were present in the COA grains, indicating that the rate‐limiting step for D–H exchange is not diffusion. Thus, the changes in D/(D + H) ratios were fit by the first‐order reaction rate law. Apparent kinetic parameters—the rate constants, the activation energies, and the frequency factors—were obtained with the Arrhenius equation. Using these kinetic expressions, hydrogen isotopic exchange profiles were estimated for time and temperature behavior. The D–H exchange between organic matter and water is apparently relatively fast and this implies that the aqueous alteration temperatures should have been very low, likely close to 0 °C to maintain hydrogen isotopic disequilibrium between organic matter and liquid water for millions of years.
Development of RT-PCR Based Diagnosis of SARS-CoV-2

In the 2020, COVID-19 pandemic disease created an havoc situation world widely and mainly caused by Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2). It has been challenging task for researchers, scientists and medico-pharmaceutical organisations to find out rapid and reliable diagnosis methods. Among the all testing services, a Reverse Transcription Polymerase Chain Reaction (RT-PCR) is the more accurate, rapid and authenticated molecular technique used for most of the diagnosis of major diseases. It has been a global priority to fix the rapid diagnosis method to combat against the pandemic COVID-19. Thus, the present chapter mainly focussing on the progress of RT-PCR method development though various processes of data collection on isolation of whole genome sequence, its primer and method designing. In this scenario, India suddenly become the global leader for vaccine development and hence the challenges and RT-PCR kit development in India and rest of the world has been be discussed. World wide many Government and private agencies and industries have taken an initiative for diagnosis of SARS-CoV-2 hence this chapter also summarised the scope of RT-PCR to combat pandemic situation in future.
Regression Diagnostics with Predicted Residuals of Linear Model with Improved Singular Value Classification Applied to Forecast the Hydrodynamic Efficiency of Wave Energy Converters

In the preliminary stages of design of the oscillating water column (OWC) type of wave energy converters (WECs), we need a reliable cost- and time-effective method to predict the hydrodynamic efficiency as a function of the design parameters. One of the cheapest approaches is to create a multiple linear regression (MLR) model using an existing data set. The problem with this approach is that the reliability of the MLR predictions depend on the validity of the regression assumptions, which are either rarely tested or tested using sub-optimal procedures. We offer a series of novel methods for assumption diagnostics that we apply in our case study for MLR prediction of the hydrodynamics efficiency of OWC WECs. Namely, we propose: a novel procedure for reliable identification of the zero singular values of a matrix; a modified algorithm for stepwise regression; a modified algorithm to detect heteroskedasticity and identify statistically significant but practically insignificant heteroscedasticity in the original model; a novel test of the validity of the nullity assumption; a modified Jarque–Bera Monte Carlo error normality test. In our case study, the deviations from the assumptions of the classical normal linear regression model were fully diagnosed and dealt with. The newly proposed algorithms based on improved singular value decomposition (SVD) of the design matrix and on predicted residuals were successfully tested with a new family of goodness-of-fit measures. We empirically investigated the correct placement of an elaborate outlier detection procedure in the overall diagnostic sequence. As a result, we constructed a reliable MLR model to predict the hydrodynamic efficiency in the preliminary stages of design. MLR is a useful tool at the preliminary stages of design and can produce highly reliable and time-effective predictions of the OWC WEC performance provided that the constructing and diagnostic procedures are modified to reflect the latest advances in statistics. The main advantage of MLR models compared to other modern black box models is that their assumptions are known and can be tested in practice, which increases the reliability of the model predictions.
Early Miocene coral reef-associated bryozoans from Colombia. Part I: Cyclostomata, “Anasca” and Cribrilinoidea Cheilostomata

Abstract. This is the first of two comprehensive taxonomic works on the early Miocene (ca. 23–20 Ma) bryozoan fauna associated with coral reefs from the Siamaná Formation, in the remote region of Cocinetas Basin in the La Guajira Peninsula, northern Colombia, southern Caribbean. Fifteen bryozoan species in 11 families are described, comprising two cyclostomes and 13 cheilostomes. Two cheilostome genera and seven species are new: Antropora guajirensis n. sp. , Calpensia caribensis n. sp. , Atoichos magnus n. gen. n. sp. , Gymnophorella hadra n. gen. n. sp. , Cribrilaria multicostata n. sp. , Cribrilaria nixor n. sp. , and Figularia bragai n. sp. Eight species are identified only at genus level and remain in open nomenclature. Of the species found, 27% have erect colonies and 73% encrusting colonies. Both types contributed to the reef framework and produced sediment. The observed bryozoan diversity was higher in the barrier reefs than in the lagoonal patch reefs.
In search of Bennu analogs: Hapke modeling of meteorite mixtures

Context. The OSIRIS-REx Visible and InfraRed Spectrometer onboard the Origins, Spectral Interpretation, Resource Identification, and Security-Regolith Explorer spacecraft obtained many spectra from the surface of the near-Earth asteroid (101955) Bennu, enabling the characterization of this primitive small body. Bennu is spectrally similar to the hydrated carbonaceous chondrites (CCs), but questions remain as to which CCs, or combinations thereof, offer the best analogy to its surface. Aims. We aim to understand in more detail the composition and particle size of Bennu’s surface by refining the relationship between this asteroid and various CC meteorites. Methods. We used published absorbance and reflectance data to identify new optical constants for various CC meteorites measured in the laboratory at different temperatures. We then used the Hapke model to randomly generate 1000 synthetic spectra in order to find the combinations of these potential meteoritic analogs that best reproduce the spectral features of the asteroid. Results. Our investigations suggest that the surface of Bennu, though visibly dominated by boulders and coarse rubble, is covered by small particles (tens to a few hundreds of μm) and that possibly dust or powder covers the larger rocks. We further find that the surface is best modeled using a mixture of heated CM, C2-ungrouped, and, to some extent, CI materials. Conclusions. Bennu is best approximated spectrally by a combination of CC materials and may not fall into an existing CC group.
The Green Incentives and Green Bonds Financing under the Belt and Road Initiative

ABSTRACT Since the proposal of the “Belt and Road” initiative, the concept of green development has been running through it. As an important part of green financial instruments, green bonds have become increasingly popular in recent years. This study takes the issuance of green bonds in China as the research object and examines the response of bond and stock market to the issuance of a green bond. The empirical results show that there are green incentives in the Chinese capital market. We also studied the economic impact of the Belt and Road Initiative on the issuance of green bonds. The results show that the Belt and Road Initiative reduces the cost of bond issuance. Our findings help to analyze the literature on the impact of ESG behavior on company performance and company value. Finally, the study made policy recommendations to improve the effectiveness of China’s green bonds and provide sustainable financial support for the “Belt and Road” initiative.
Hot head-out water immersion does not acutely alter dynamic cerebral autoregulation or cerebrovascular reactivity to hypercapnia

ABSTRACT Recurring hot head-out water immersion (HOWI) enhances peripheral vascular function and cerebral blood velocity during non-immersion conditions. However, it is unknown if an acute bout of hot HOWI alters cerebrovascular function. Using two experimental studies, we tested the hypotheses that dynamic cerebral autoregulation (dCA) and cerebrovascular reactivity (CVR) are improved during an acute bout of hot (HOT; 39 °C) vs. thermoneutral (TN; 35 °C) HOWI. Eighteen healthy participants (eight females) completed the dCA study, and 14 participants (6 females) completed the CVR study. Both studies consisted of two randomized (TNdCA vs. HOTdCA; TNCVR vs. HOTCVR) 45minute HOWI visits. Middle cerebral artery blood velocity (MCAvmean) was continuously recorded. dCA was assessed using a respiratory impedance device and analyzed via transfer gain and phase in the low-frequency band. CVR was assessed using stepped hypercapnia. Assessments were completed PRE and 30 minutes into HOWI. Values are reported as a change (Δ) from PRE (mean ± SD). There were no differences at PRE for either study. ΔMCAvmean was greater in TNdCA (TNdCA: 4 ± 4 vs. HOTdCA: -3 ± 5 cm/s; P < 0.01) and TNCVR (TNCVR: 5 ± 4 vs. HOTCVR: -1 ± 6 cm/s; P < 0.01) during HOWI. ΔGain was greater in HOTdCA during HOWI (TNdCA: -0.09 ± 0.15 vs. HOTdCA: 0.10 ± 0.17 cm/s/mmHg; P = 0.04). ΔPhase (P > 0.84) and ΔCVR (P > 0.94) were not different between conditions. These data indicate that hot and thermoneutral water immersion do not acutely alter cerebrovascular function in healthy, young adults.
Structure-Awareness SAR Imagery by Exploiting Structure Tensor TV Regularization Under Multitask Learning Framework

Conventional sparsity-driven synthetic aperture radar (SAR) imagery often encounters the problem of loss of structural features in weak scattering. Although there are algorithms that focus on structure enhancement, no proper balance between accuracy and efficiency can be achieved. In this article, a novel feature enhancement algorithm, named structure-awareness SAR (SA-SAR), is proposed by exploiting an emerging regularizer of structure tensor total variation (STV). By imposing the STV norm onto the prior of the scenes or targets to be imaged, the intended structure feature can be analytically solved under the proximal algorithm. More specifically, the regularization method is developed within the alternating direction method of multipliers (ADMM) framework, where closed-form proximity operators can be derived. Due to the ADMM framework, it facilitates to incorporate with more features to be enhanced in a fully synergistic way. Therefore, the $\ell _{1}$ and entropy norms are involved so that the sparse and focusing features can be enhanced accordingly. Considering the coherence of the SAR data, a linear proximal operator is developed within the multitask learning framework. The unavoidable error propagations can be alleviated in a great extent. In such cases, the proposed algorithm is superior in terms of convergence and efficiency. To facilitate the implementation and computation, the STV proximal mapping is optimized under the Vieta theorem. Finally, both simulated and raw SAR data are applied to verify the effectiveness of the proposed algorithm. Comparisons with conventional algorithms are carried out to show the superiority of the proposed algorithm.
Development of Antibacterial, Antioxidant, and UV-Barrier Chitosan Film Incorporated with Piper betle Linn Oil as Active Biodegradable Packaging Material

This study aims to introduce the antibacterial and antioxidant activities of the Piper betle Linn oil (PBLO) into chitosan film (pCS), named as pCS-PBLO film. The morphology, structure, and properties of the pCS-PBLO film, along with the PBLO concentration between 0.4% and 1.2% (v/v), were determined. The film surface became rough and heterogeneous with the addition of PBLO, which directly influenced on mechanical strength of the resultant film. The addition of the PBLO did not affect thermal stability but significant effect on flexibility and mobility of the film. Importantly, the film enhanced the UV-protective property and antioxidant activity as incorporated-PBLO. Moreover, the resulting film revealed the great inhibition efficiency against the negative-gram (E. coli, P. aeruginosa, and S. typhi) and positive-gram (S. aureus) bacteria based on phenolic compounds, such as the acetyleugenol, eugenol, 4-allyl-1,2-diacetoxybenzen, and chavicol acetate in PBLO components. In particular, the pCS-PBLO film may extend the shelf life of king oranges up to two weeks at 25 °C that is longer as compared to the uncoated sample and coated with chitosan alone. These results suggest that the pCS-PBLO film can be used as environmental-friendly and effective food packaging material in the future.
ANALYSING LEGISLATION ON INCLUSIVE EDUCATION BEYOND ESSENTIALISM AND CULTURALISM: SPECIFICITIES, OVERLAPS AND GAPS IN FOUR CONFUCIAN HERITAGE REGIONS (CHRS)

ABSTRACT Breaking with discriminatory views and segregated education for children with disabilities, regions often referred to as Confucian Heritage Regions (CHRs) have been moving towards inclusive education. Although some of these regions have been at the centre of attention in global education recently, there is a lack of research and information about how they ‘do’ inclusive education. Considering that reinforcing legislative foundations is of foremost importance for its fulfillment, this study examines legislation on the education of children with disabilities in four neighbouring CHRs: the Chinese Mainland , Japan, South Korea and China's Taiwan. The core principles that frame such legislation were analyzed and cross-compared. The findings show that despite the common Confucian heritage that is attributed to them systematically in studies of inclusive education – which is often said to influence the way disability is perceived and dealt with – the four Regions treat inclusion differently in terms of legislation. While some CHRs are clearly influenced by e.g. the USA, others are trying to design a specific perspective on inclusive education. The authors argue that the complex example of these CHRs can serve as an important template for studies on both inclusive and comparative education. The article also calls for the careful treatment of inclusive education beyond an essentialist and somewhat simplistic perspective that could reduce certain regions to a monolith.
IR and NMR properties of N-base:PH2F:BeX2 ternary and corresponding binary complexes stabilised by pnicogen and beryllium bonds

Ab initio MP2/aug’-cc-pVTZ calculations have been performed to determine selected stretching frequencies and chemical shieldings for ternary complexes N-base:PH2F:BeX2 and the corresponding binary complexes, with NH3, H2C=NH, and HCN as the nitrogen bases and H, F, and Cl as the substituents X. Be-F and P-F stretching frequencies depend on the Be-F and P-F distances, respectively, while P and F chemical shieldings depend on the N-P and P-F distances, respectively. The graph of the P chemical shieldings versus the P-F distance bears a remarkable resemblance to the graph of the P-F stretching frequencies versus that same distance. EOM-CCSD spin–spin coupling constants have also been evaluated for binary and ternary complexes. 1pJ(N-P) is negative at the longer N-P distances found in ternary complexes with HCN in which the N … P bond is a traditional pnicogen bond with some phosphorous-shared character, gains phosphorus-shared character as the N-P distance continues to decrease, and then becomes a phosphorous-transferred bond with ion-pair character at the shorter distances in the complexes with NH3 and H2C=NH. 1J(P-F) values are large and negative in complexes with HCN, but increase and become positive in complexes with H2C=NH and NH3 as the P-F distance increases. GRAPHICAL ABSTRACT
Effects of co-management on technical efficiency and environmental stressors: An application to small-scale shrimp polyculture in Indonesia

Abstract Shrimp polyculture is an important activity in South East Asia, providing a livelihood and food for small-scale farmers. However, farmers are facing challenges due to increasing environmental problems in rivers used as the primary source of water in aquaculture pond production. To deal with these challenges, farmers have organized co-management communities, which gives them a stronger voice among river users. This study investigates the effects of co-management on technical efficiency and environmental stressors using a second-stage Data Envelopment Analysis model. Environmental stressors are identified through interviews with 306 farmers in eight sub-districts, of which two are practicing co-management. The results show that farmers in areas with co-management have relatively high technical efficiency after taking other drivers into account. Furthermore, the farmer’s technical efficiency seems to be less affected by the identified environmental stressors. In conclusion, co-management could be used as a tool to improve technical efficiency and limit stress factors for farmers. It could be initiated by the farmers themselves or by policymakers and natural resource managers and could improve the livelihoods of small-scale shrimp polyculture farmers.
Testing Significance of Macroeconomic Variables in Explaining Aggregate Economic Growth: A Cross-Country Study

The paper studies the relationship between the aggregate economic growth and the macroeconomic variables during the period 1977-2016. A first-order autocorrelation in the dependent and independent variables was detected. The residuals of the ordinary least squares (OLS) model were also affected by heteroscedasticity. By applying multiple econometric estimation techniques, the study finds that annual consumption growth, government expenditure growth, and gross savings to GDP ratio are the most statistically significant macroeconomic variables in explaining the change in aggregate economic growth.