Miracle-dz/UniFAR-FTUs huggingface dataset:
BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain

The healthcare industry has witnessed significant transformations in e-health services by using mobile-edge computing (MEC) and blockchain to facilitate healthcare operations. Many MEC-blockchain-based schemes have been proposed, but some critical technical challenges still remain, such as low Quality of Services (QoS), data privacy, and system security vulnerabilities. In this article, we propose a new decentralized health architecture, called BEdgeHealth that integrates MEC and blockchain for data offloading and data sharing in distributed hospital networks. First, a data offloading scheme is proposed where mobile devices can offload health data to a nearby MEC server for efficient computation with privacy awareness. Moreover, we design a data-sharing scheme, which enables data exchanges among healthcare users by leveraging blockchain and interplanetary file system. Particularly, a smart contract-based authentication mechanism is integrated with MEC to perform decentralized user access verification at the network edge without requiring any central authority. The real-world experiment results and evaluations demonstrate the effectiveness of the proposed BEdgeHealth architecture in terms of improved QoS with data privacy and security guarantees, compared to the existing schemes.
Model Uncertainty in the Projected Indian Summer Monsoon Precipitation Change under Low-Emission Scenarios

The projected ISM precipitation changes under low-emission scenarios, Representative Concentration Pathway 2.6 (RCP2.6) and Shared Socioeconomic Pathway 1-2.6 (SSP1-2.6), are investigated by outputs from models participating in phases 5 and 6 of the Coupled Model Intercomparison Project (CMIP5 and CMIP6). Based on the high-emission scenarios like RCP8.5, the Intergovernmental Panel on Climate Change Fifth Assessment Report suggests a wetter Indian summer monsoon (ISM) by the end of 21st century. Although the multi-model ensemble mean (MME) ISM precipitation under RCP2.6 and SSP1-2.6 is still projected to increase over 2050–2099 referenced to 1900–1949, the intermodel spread of the ISM precipitation change is tremendous in both CMIPs. Indeed, the signal-to-noise ratio (SNR) of ISM precipitation change, defined as the MME divided by its intermodel standard deviation, is even below 1 under the low-emission scenarios. This casts doubts on a future wetter ISM in a warmer climate. Moisture budget analyses further show that most of the model uncertainty in ISM precipitation change is caused by its dynamical component from the atmospheric circulation change. As expected, the interhemispheric surface warming contrast is essential in causing the intermodel differences in ISM circulation and precipitation changes under low-emission scenarios. In addition, the projected wetter ISM is prominently enhanced from CMIP5 to CMIP6, along with reduced model uncertainty. However, the resultant increased SNR in CMIP6 is still low in most ISM regions. The results imply that ISM precipitation change is highly uncertain under low-emission scenarios, which greatly challenges the decisions-making in adaptation policies for the densely populated South Asian countries.
Impact of brand personality traits on customer’s brand commitment (case study: NIVEA hygienic products)

ABSTRACT Present research studies the impact of brand personality traits on customer commitment to the Brand as one of customer behaviour indicators by measuring variables like sincerity, excitement, sophistication, peacefulness, and competence. Tehran hygienic products customers of NIVEA (at least 1–3 years consumption) is the statistical population of this research and due to the unspecific volume of the statistical population the sampling was determined by Cochran Formula (n-384). In this vein, the random cluster sampling method has been used and research data has been collected with designed standard and structured questionnaire. To accomplish this; a conceptual framework is developed and evaluated as follow: For data analysis on inferential level structural equation modelling has been used. The type of research is practical, data type is quantitative, data collection type is descriptive and in terms of determining the relationship between variables is correlation. The result demonstrates a significant relationship between brand personality and Brand commitment, due to the direct positive relationship among sincerity, excitement, sophistication, peacefulness, Competence variables and Brand commitment.
Effect of Competitive Status and Experience on Heart Rate Variability Profiles in Collegiate Sprint-Swimmers

Abstract Flatt, AA, Hornikel, B, Nakamura, FY, and Esco, MR. Effect of competitive status and experience on heart rate variability profiles in collegiate sprint-swimmers. J Strength Cond Res 36(10): 2898–2904, 2022—Interindividual differences in training history may be a determinant of heart rate variability (HRV) profiles in collegiate sprint-swimmers and may account for differences observed between elite and subelite athletes. We therefore compared HRV profiles among national-level and conference-level sprint-swimmers while accounting for individual swim-training history. Twenty-eight short-distance swimmers (18 men and 10 women) recorded postwaking HRV throughout a 4-week standardized training period. The 4-week mean (M) and coefficient of variation (CV, a marker of daily fluctuation) were calculated for resting heart rate (RHR) and the natural logarithm of the root mean square of successive differences (LnRMSSD). Swimmers were categorized as national-level (n = 12) or conference-level (n = 16) competitors. Years of competitive experience was documented for each individual to index training history. p < 0.05 was considered statistically significant. No sex-related differences were observed for any variables (p > 0.05). LnRMSSDM (effect size [ES] = 0.95), LnRMSSDCV (ES = −1.18), RHRCV (ES = −1.05), and competitive experience (ES = 1.23) differed between status groups (p < 0.05). Accounting for multicollinearity between competitive experience and LnRMSSD variables (p < 0.05), competitive experience remained associated with LnRMSSDM (r = 0.44, p = 0.02). With competitive experience included as a covariate, differences in LnRMSSDM between status groups disappeared (p > 0.05, ES = 0.31). National-level swimmers exhibit higher and more stable LnRMSSD than that of their conference-level teammates throughout standardized training. Differences in trend characteristics were attributed to training age. This information may assist practitioners with interpreting interindividual differences in HRV profiles throughout training periods among a mixed roster of athletes.
Trust As an Entry Barrier: Evidence from FinTech Adoption

This paper studies the role of trust in incumbent lenders (banks) as an entry barrier to emerging FinTech lenders in the credit markets. The empirical setting exploits the outburst of the Wells Fargo scandal as a negative shock to the trust in banks. Using a difference-in-differences framework, I find that increased exposure to the Wells Fargo scandal leads to an increase in the probability of borrowers using FinTech as mortgage originators. Utilizing political affiliation to proxy for the magnitude of trust erosion in banks in a triple-differences specification, I find that, conditional on the same exposure to the scandal, a county experiencing more trust erosion has a larger increase in FinTech share relative to a county experiencing less trust erosion. Trust is less critical in FinTech adoption for the minority borrowers (Latinx/African American). When FinTech share increases due to an erosion of trust in banks, FinTech lenders do not charge higher interest rates.
The Relationship among Overconfidence, Economic Expectation, Social Factors and Investment Decision Making Behavior with the Mediating and Moderating Effects

The current study investigates the relationship among the overconfidence (OVC), economic expectations (EE), social factors (SOF) and investment decision making behavior (IDMB) with the mediating and moderating effect. The data was collected from the investors of Pakistan Stock Exchange (PSX) that were selected through convenience sampling technique. The results of Structural Equation Modeling (SEM) showed that OVC, EE, SOF have a positive and significant relationship with IDMB. On the other hand, OVC, EE, SOF also has a positive and significant relationship with the information search (IS) while IS did not have direct effect on the IDMC. In other words, the IS also did not have mediating effect among the relationship of OVC, EE, SOF and IDMB. The indirect effect further indicated that financial literacy (FL) has a significant moderating effect among the relationship of OVC, EE, SOF and IDMC. Therefore, this moderating effect could be considered a contributions of the study. The research limitations and future directions had also discussed at the end of the study.
Media accountability in the age of social media: Participatory transparency of the audience in Spain

The mass media is increasingly promoting public participation. Taking as a starting point the participatory transparency concept enunciated by Karlsson (2010), our research studies the audience’s active role in holding Spanish media to account through a range of online tools. We study the role of the audience by analyzing the perceptions of two main actors: journalists and citizens. A two-fold methodology was adopted: a questionnaire survey of 228 active journalists in Spain and six focus group panels with media users. The main results show that the journalists are not optimistic about the effectiveness of accountability instruments used by the audience. The users value positively being able to participate in the journalistic process, although they believe that journalists should ultimately perform the role of fact-checkers of user-generated content.
Highlighting the cathodic contribution of an electrooxidation pretreatment study on waste activated sludge disintegration

In this study, the effect of the cathodic contribution in the performance of electro‐oxidation (EO) pretreatment of waste activated sludge (WAS) was investigated using different electrode pairs, namely titanium dioxide (TiO2)/TiO2, TiO2/TiO2 coated Platine (Pt) and TiO2/TiO2 coated ruthenium dioxide (RuO2) and main operational parameters such as dosage of electrolyte solution (Na2SO4), initial pH, applied current, and electrolysis time were optimized. Disintegration degree (DD) in terms of soluble chemical oxygen demand (CODs) increased with an increase in initial pH of WAS, applied current, and electrolysis time for all pairs of electrodes. Under the optimized conditions (5 g/L Na2SO4, pH 10, 3 A of current, and 100 min of e time), a maximum DD value of 23.93 and 14.26% was obtained using TiO2/RuO2 and Pt/TiO2 electrodes, respectively. However, lower DDCOD value of 12.85% was obtained for TiO2/TiO2 electrodes at similar conditions except for 4 A current. Soluble extracellular polymeric substances analysis and their protein and polysaccharide concentrations confirmed the disintegration of WAS flocs by the EO process. The operational cost (OC) of applied processes was also calculated and OC values were found in the following order: TiO2/RuO2 (46.54 €/m3) > TiO2/TiO2 (41.77 €/m3) > TiO2/Pt (32.99.54 €/m3) from the point of energy consumption.
Relationship Between Sprite Current and Morphology

On June 2 and 3, 2019, 63 sprites were captured from Langmuir Laboratory in central New Mexico. The two storms investigated were located in northwest Texas, 400–800 km away from the observation site. Optical recordings were made with a Phantom V2010 camera operating at up to 100,000 frames per second. Electromagnetic remote sensing of lightning and sprite electric fields was performed with a sensitive slow antenna (LEFA). Data from the Earth Networks Total Lightning Network (ENTLN) were used to locate the sprite parent flashes. The combined information of these three data sets reveals that a staggering fraction of more than half of the sprites observed have a distinguishable electromagnetic signature attributed to currents flowing within the sprite body. Furthermore, these sprite current signatures were unusually large in comparison to previous reports. The sprite electric field changes have roughly half the amplitude of their parent lightning flash's, corresponding to sprite peak currents of 26–58 kA on average. The largest sprites have current moments of up to 2,700 kA km, as inferred from a computationally efficient method to solve Maxwell's equations. Detailed comparison between the sprites' electromagnetic signatures and high‐speed optical recordings show that optically large sprites containing upward streamers (carrots and jellyfish) tend to have larger electrical currents than the ones displaying only downward streamer development (column sprites). Finally, a clear increasing trend in peak current moment is evident with increasing morphological complexity, from columns to carrots to jellyfish sprites.
NANOTECHNOLOGY FOR DETECTION OF DISEASES CAUSED BY VIRUSES-CURRENT OVERVIEW

Nanotechnology are having a high impact on the development of a novel class of biosensors called as nanobiosensors. This technology has utilized some extremely exciting elements for the sensing phenomenon improvement. The utilization of nano-materials, nano-rods, nano-particles, nano-tubes has aided rapid, reliable reproducibility and its detection in a much better way. The unique properties of nanobiosensors and its varied applications have influenced biosensing research. Since longtime, nanobiosensors have been utilized worldwide for the diagnosis of diseases co-related with molecular detection of biomarkers. This paper highlights the use of such nanobiosensors for the detection of virus, infections, fungal pathogens, Human Immunodeficiency Virus (HIV) related diseases such as Cardiovascular diseases (CDVs), Renal Arthritis (RA) through different techniques including electrochemical biosensing, optical biosensing, point of care-diagnostics etc.
A study to assess knowledge about child development in caregivers attending the child psychiatry outpatient department

Background: The initial years of child nurturing plays an important role in child development and lifelong learning. Parents’ knowledge is considered to be the frame of reference for parents’ interpretations of their child’s behaviour and provides the basis for having the appropriate expectation of the child’s developmental stage. When developmental delays are identified at the appropriate time, it increases the scope to initiate early intervention. Early intervention in children with developmental delay, can not only improve the overall disease outcome but also it provides support to family members. Aim: To assess the caregivers’ knowledge about child development and to study the association between caregivers’ knowledge and sociodemographic parameters. Materials and Methods: 110 Caregivers of children presenting to the child psychiatry OPD were screened for assessment criteria. A semi-structured intake proforma was administered to collect the sociodemographic details. Caregiver knowledge of child developmental inventory was applied on caregivers to garner the responses. Results: 84% of caregivers were mothers. On an average, caregivers were able to answer only 36% of the questions correctly. Maternal age (p=0.048) and maternal education (p=0.009) were identified to be significant predictors of higher CKCDI scores. Conclusion: Caregiver’s knowledge regarding the child development is low. Younger mothers mother and higher maternal education are associated with higher knowledge about the development of their children. Keywords: Child development, Caregiver’s knowledge.
The Role of Intermolecular Interactions on the Performance of Organic Thermally Activated Delayed Fluorescence (TADF) Materials

In most instances, thermally activated delayed fluorescence (TADF) emitters are incorporated into a suitable host matrix at low doping concentration in order to reduce emission quenching and to improve organic light‐emitting diode (OLED) efficiency. Here, a combination of molecular dynamics simulations and density functional theory calculations is performed for thin films of 1) the neat 4CzIPN TADF emitter and 2) the (guest–host) 4CzIPN:mCBP system, in order to determine how guest–guest and guest–host interactions influence the morphological, electronic, and luminescence properties of the TADF emitters. The red‐shift in emission recently observed experimentally upon increasing the concentration in TADF emitters is attributed to the formation of guest–guest, i.e., dimer, intermolecular charge‐transfer states. It is found that the radiative and reverse intersystem crossing rates associated with these dimer states are similar to those of monomers. Thus, the contributions from both the dimer and monomer states need to be considered to describe TADF within the emissive layer. The exciton diffusion processes are also characterized; singlet excitons are calculated to be the main contributors to the diffusion length, in contrast to recently proposed models.
Geotechnical characterisation of coal tailings down the beach and constant rate of loading consolidation in a slurry consolidometer

The conventional disposal of slurried tailings in a tailings storage facility (TSF) leads to the formation of a beach, on which the tailings sort hydraulically, settle, consolidate, and desiccate upon exposure. Basic geotechnical testing, such as specific gravity, Atterberg limits, and particle size distribution, found that there was no particular trend of changes in the tailings properties down the beach. The settled sediment found in a settling test was slurry-like and unsuitable for conventional oedometer testing. Constant rate of loading (CRL) consolidation testing is more representative of the continuous disposal of tailings slurry than conventional step loading. Consolidation testing in a slurry consolidometer was conducted and captured from a slurry-like to soil-like state. A slow rate of loading increased the test time, while a too quick rate of loading built up very high excess PWP. The test results showed different stages of consolidation, depending on excess PWP development and dissipation, and applied stress.
Essentially unemployed: potential implications of the COVID-19 crisis and fiscal response on income inequality

I analyze the impact of the CARES Act unemployment subsidy on US income and inequality in the first month of the COVID-19 crisis using March-April Current Population Survey data. I then use monthly industry unemployment data to extend this panel to July. Next, I estimate the impact of the expiration of the CARES Act subsidy on average income and inequality. Finally, I extend the panel to November to simulate the effects of proposed HEALS and HEROES Acts. I find the CARES Act subsidy was effective at increasing average income above pre-crisis levels and reducing inequality. The expiration of the CARES Act subsidy caused a decrease in average income and increase in inequality relative to pre-crisis levels. I find the proposed HEALS legislation will return inequality to near pre-crisis levels, while the proposed HEROES Act will result in higher income and lower inequality than existed before the crisis.
Influence of different sheet compositions and commercial adhesives on the performance of multilaminated plywood

The quality of plywood panels depends on factors such as the forest species and the adhesive used in their production, and understanding the interferences of these factors in the final properties of the plywood is of fundamental importance. The study aimed to develop multilaminate plywood panels with two forest species and two types of adhesive and to evaluate the influences of these factors (forest species and adhesive) on the physical and mechanical properties of the plywood. The panels were produced with sheets of parica and pine with two types of adhesives, urea-formaldehyde and phenol-formaldehyde, with a weight of 150 g/cm². Then, each set was pressed for 10 minutes under a specific pressure of 0.98 MPa at a temperature of 150 °C. Three panels were produced for each type of blade and adhesive, totaling four treatments. The plywood was evaluated for physical properties (humidity, bulk density, and water absorption) and mechanical properties (parallel and perpendicular static flexion and resistance to mechanical shear). The results showed that the forest species had a greater influence on physical and mechanical properties, with the best results being observed for plywood produced with pine. The panels with sheets of parica and phenol-formaldehyde adhesive showed less moisture. The apparent density of the panels should be considered as it positively influenced the mechanical properties and negatively impacted water absorption. It is concluded that the plywood produced can be used for internal and external applications. However, it is indicated for structural purposes as it did not meet the requirements of the NBR 31.000. 001/2:2001.
Reassessment of the Contribution of Belowground N from Soybean after Testing Different 15N Leaf-Labelling Strategies

Purpose: Soybean is the most important grain crop in Brazil with a mean N accumulation of over 250 kg N ha-1, principally from biological N2 fixation. The residual N benefit depends heavily on the quantity of the belowground N at harvest, much which cannot be directly recovered in roots. The purpose of this study was to investigate different aspects of the 15N leaf-labelling technique to quantify non-recoverable root N (NRRN) derived from senescent roots and nodules (rhizodeposits). Methods: Soybean plants were grown in pots of soil and at 27 days after planting (vegetative stage V4) cut or whole leaves were exposed to highly enriched 15N-labelled urea or glutamine. Seven sequential harvests of the plants and soil were taken until the final grain harvest at 70 days after labelling.Results: After only 48 h, the plants labelled with 15N urea transferred approximately 5% to the soil, while only 1% was found in the roots. Leakage of 15N label was even more pronounced when the leaves were labelled with 15N glutamine. After this initial leakage, the excess 15N deposited in the soil only increased by a further 2.6% of applied label, which suggested that only part of this N represented senescence of roots or nodules.Conclusions At the final harvest, N in roots separated from the soil amounted to 6.4% of total plant N. Discounting the early rapid deposition of 15N-enriched N to the soil, our calculations indicated that at final harvest the total NRRN was 2.8% of total plant N.