bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Decision-Making Problem for Selecting an optimal Antivirus Mask over COVID-19 Pandemic under Pythagorean Fuzzy Information Based on Hybrid TODIM - Inferior Ratio Method
Authors: Kumar Sunit , Kumar Satish 
Published: June 2022

Abstract
Yager was the first who developed the concept of Pythagorean fuzzy sets (PFSs) to tackle uncertainty and vagueness. PFSs is applicable when Intuitionistic fuzzy sets are not able to tackle the uncertainty in real life. In the present paper, based on the concept of Gini-Simpson Entropy, a Pythagorean fuzzy entropy measure is introduced under Pythagorean fuzzy environment. The maximality feature and monotonic behaviour of the developed information measure have been presented to satisfy some elegant mathematical properties which prepare the ground for applications in various disciplines. We extend the TODIM-Inferior ratio method for solving the (MCDM) multicriteria decision-making problems where the behaviour of experts, are taken into consideration. The proposed Pythagorean information measure has been established based on the different cases when weights are partially known. A real-life numerical example has been successfully illustrated to demonstrate the flexibility and efficacy of the developed method.
Bi-Quadratic Varying Deceleration Parameter to Study the Cosmological Model
Authors: Kumar R , Arora S 
Published: June 2022

Abstract
This paper investigates a cosmological model employing a four-degree function of cosmic time t in the f(R, T) gravity theory using an extended form of deceleration parameter. Under the constraints of flat, diagonal, and Bianchi type-1 metrics, we develop the exact solution of Einstein field equations (EFE). We research early time deceleration and accomplish the definite solution of EFE using an extended form of deceleration parameter, as well as the always super-exponential expansion behaviour of bi-quadratically variable deceleration parameter using a graph. We explore the model’s efficacy by examining the relationship between the deceleration parameter and red shift, which offers a valid result concerning the FRW metric’s consistent homogeneous structure in light of recent cosmological observations.
Green synthesis of carboxymethyl cellulose from agricultural waste its characterization
Authors: Singh R , Singh J , Sonika  , Singh H 
Published: June 2022

Abstract
In the present study, corncob (an agricultural waste) has been explored as a source of cellulose. Cellulose was extracted from corncob through removal of hemicellulose and lignin. The carboxymethyl cellulose (CMC) was then synthesized from extracted cellulose by alkalization and etherification with 30% NaOH and 120% monochloro acetic acid (MCA) in ethanol medium respectively. Characterization of prepared CMC was carried out by various techniques like Fourier Transform Infra-Red (FTIR) spectroscopy, X-Ray Diffraction (XRD) and Scanning Electron Microscpoe (SEM). Back titration method was used to determine the Degree of Substitution (DS). The synthesized CMC obtained has a large DS value of 2.27. The purity of CMC was high at 91.65% and showed a yield of 1.20g/g, intrinsic viscosity of 1.02, water holding capacity 3.81g/g and oil holding capacity 1.66g/g. Higher degree of substitution is achieved in this work. The synthesized product is effective suitable additive for food and various pharmaceuticals industries.
Analysis of growth in population through nonlinear stochastic process
Authors: Bhagirath Kirti 
Published: June 2022

Abstract
Probability density evolution of an insect population is discussed by taking non linear stochastic differential equations for the growth and also using the related Fokker-Plank equations for the probability densities which are time dependent. It can be seen that the variance behavior depends on initial conditions whereas the effect of initial conditions disappears rapidly in mean case. We can observe the difference in the response of mean and variance as the growth of insects proceeds. It is found that variance of the process may increase monotonically to a level above the steady state variance before getting back to steady state variance.
Sol-gel Derived (Pb0.65Sr0.35)(Zr0.5, Ti0.5)O3 Ferroelectric Thin Films: Structural and Electrical Properties
Authors: Bhasker V. , Sharma U. , Kumar G. , Thomas R. 
Published: June 2022

Abstract
The Pb(Zr0.5, Ti0.5)O3 (PZT) is one of the ferroelectric materials used in the non-volatile memories. However, PZT usually suffers from fatigue that degrades the polarization with metallic electrodes. The high stability associated with Sr-O bonding reduces oxygen vacancies which in turn lessens fatigue and hence Sr in introduced at Pb site. In the present study (Pb0.65Sr0.35)(Zr0.5, Ti0.5)O3 (PSZT) ferroelectric thin films were successfully prepared by sol-gel method. The structural and morphological properties of the thin film were studied by x-ray diffraction and atomic force microscopy, respectively. The crystallization of the film was completed at 600°C of annealing and the root mean square roughness of the 300 nm film was around 4.5 nm. When Pb in Pb(Zr0.5, Ti0.5)O3 was substituted with 35% Sr, the coercive field increased and the remnant polarization reduced as compared to pure PZT. The films were ferroelectric at room temperature with the phase transition temperature at ~375°K. The dielectric constant and the loss tangent at room temperature were 257 and 0.023, respectively at 100 kHz.
Numerical simulation of MASnI3/CuI heterojunction based perovskite solar cell
Authors: Sharma Amit K , Kaushik Deepak Kumar 
Published: June 2022

AbstractThe lead (Pb) free perovskite solar cells have gained much attention due to non-toxic nature. Owing to a smaller band gap of 1.3 eV, methylammonium tin iodide (III) (MASnI3) can be considered an alternate light absorber layer compare to the lead-based perovskites (MAPbClxI3-x). In this article, MASnI3based perovskite solar cell has been studied using a 1-D SCAPS simulator. The solar cell structure ITO/TiO2/MASnI3/CuI is simulated in superstrate configuration which achieves a photovoltaic efficiency less than 8 %. Photovoltaic efficiency of the solar cell is further improved to 17.93 % by optimizing thickness and total defect density of the absorber layer. Moreover, the role of defects at the interfaces: TiO2/MASnI3and MASnI3/CuI on the solar cell performance is also analyzed.
Quantity Based weights forecasting for TAIEX
Authors: Garov A K 
Published: June 2022

Abstract
Many models of the forecasting have been proposed on stock index. In this paper, the consideration of Taiwan Stock Exchange Capitalization Weights Stock Index (TAIEX) has been taken and founded forecasted index value. Here forecasting is done by using Quantity based fuzzy time series (QBFTS), Quantity based factor TAIEX and forecasting methods are QBFLR and QBFLRGs. The approach of Statistical weights assigned for different weights to various quantity based fuzzy logical relationships for considered quantity-based dataset of TAIEX. Hence got the comparative result better than the other models.
Data Mining Prediction Techniques in Health Care Sector
Authors: sharma Minakshi 
Published: June 2022

Abstract
Knowledge discovery in databases (KDD) is another name of Data mining. It is an interdisciplinary area which focuses on extraction of useful knowledge from data in every sector like health, education, business etc. Nowadays, as covid pandemic is affecting everyone and due to surge in coronavirus cases causing shortage of hospital beds, oxygen supplies, vaccine and turning away patients from hospitals, put creaky health infrastructure in spotlight. The plenty of data is available in the medical field of these conditions. Data mining approaches can be used to extract useful patterns from these types of data to follow the upcoming trends. This paper focuses on various data mining techniques which can be used in medical industries for the best outcome.
Fourier Series And Fourier Integral Equations And Their Applications In Elasticity
Authors: Awasthi A K , Rachna  
Published: June 2022

Abstract
The role of Fourier Series and Fourier Integral Equations in both theoretical and applied mathematics is extremely important. The aim of this paper is to introduce the reader to some of the most critical aspects of historical development of Fourier series and Fourier integrals theory and applications. The paper is based on the work of Sneddon, Srivastva et al. on solving Dual Fourier series, Triple Fourier series and Quadruple Fourier series Equations by using various methods. The different methods for solving Dual integral equations, Triple integral equations and Quadruple integral equations given by Parihar, Tranter et al. will also be mentioned. Finally, some recent applications of these equations to the mathematical theory of elasticity also stated.
Recent advances in the electrical and optical properties of Alq3 and Alq3 derivatives based OLEDS
Authors: Debsharma Mrinmoy , Pramanik Tanay , Daka Chisomo , Mukherjee Rupam 
Published: June 2022

Abstract
OLEDs (Organic light-emitting diodes) have become he most popular organic lighting-technology to fabricate full color, flexible, flat panel displays and various other lighting purposes in recent years. The greatest technical challenges so far in this area has been identified as finding new organic semiconducting electroluminescent materials with higher efficiency, longer durability and low operating voltage and long-term stability. Tris(8-hydroxyquino-linato) aluminium (Alq3) is one such promising material with an octahedral coordination che-lated aluminium (III) structure which has proved its versatile optical properties since long time. Alq3 is a typical electron transporting material used as electron transport layer (ETL)and also used as host material of emissive layer in organic light emitting diodes (OLEDs). In this review paper, our main focus is on recent advances in the optical and electrical properties of Alq3 and Alq3 derivatives-based OLEDs developed so far. On addition, we provide a comparison table of electroluminescence and photoluminescence performance and efficiency through EL spectra, PL spectra, Absorption spectra, Current-voltage plot data collected from different research groups all around the world.
Beyond the Carceral/Anti-carceral Binary: Considerations for Addressing Gender-based and Sexual Violence
Authors: Brockbank Maddie , Greene Saara 
Published: June 2022

Abstract
This article aims to contribute to the burgeoning scholarship on carceral and anti-carceral feminist approaches to addressing gender-based and sexual violence (GBSV). Specifically, this article attempts to draw out the contributions and tensions of carceral and anti-carceral approaches towards the elimination of GBSV within the context of feminist social work practices and policies. Engaging in a reflexive process that draws on our collective experience of social work education, practice, activism, and research, we argue that, rather than reinforcing the carceral/anti-carceral binary, a critical consideration of current tensions and debates in this area may provide a more productive way forward in addressing gender-based and sexual violence more broadly.
Identifying the Presence, Activity, and Status of Extraintestinal Manifestations of Inflammatory Bowel Disease Using Natural Language Processing of Clinical Notes
Authors: Stidham Ryan W , Yu Deahan , Zhao Xinyan , Bishu Shrinivas , Rice Michael , Bourque Charlie , Vydiswaran Vinod V G 
Published: June 2022

AbstractBackgroundExtraintestinal manifestations (EIMs) occur commonly in inflammatory bowel disease (IBD), but population-level understanding of EIM behavior is difficult. We present a natural language processing (NLP) system designed to identify both the presence and status of EIMs using clinical notes from patients with IBD.MethodsIn a single-center retrospective study, clinical outpatient electronic documents were collected in patients with IBD. An NLP EIM detection pipeline was designed to determine general and specific symptomatic EIM activity status descriptions using Python 3.6. Accuracy, sensitivity, and specificity, and agreement using Cohen’s kappa coefficient were used to compare NLP-inferred EIM status to human documentation labels.ResultsThe 1240 individuals identified as having at least 1 EIM consisted of 54.4% arthritis, 17.2% ocular, and 17.0% psoriasiform EIMs. Agreement between reviewers on EIM status was very good across all EIMs (κ = 0.74; 95% confidence interval [CI], 0.70-0.78). The automated NLP pipeline determining general EIM activity status had an accuracy, sensitivity, specificity, and agreement of 94.1%, 0.92, 0.95, and κ = 0.76 (95% CI, 0.74-0.79), respectively. Comparatively, prediction of EIM status using administrative codes had a poor sensitivity, specificity, and agreement with human reviewers of 0.32, 0.83, and κ = 0.26 (95% CI, 0.20-0.32), respectively.ConclusionsNLP methods can both detect and infer the activity status of EIMs using the medical document an information source. Though source document variation and ambiguity present challenges, NLP offers exciting possibilities for population-based research and decision support in IBD.
The Kinematics and Functional Significance of Chemosensory Tongue-Flicking in Northern Water Snakes (Nerodia sipedon) on Land, in Water, and in between
Authors: Ryerson William G , Schwenk Kurt 
Published: June 2022

Synopsis
As organisms transition between different environments, they must do more than simply move through that transition and those environments. Changes in the environment must be detected via the senses. The types of sensory information and the mechanisms of collecting that information may also change as an individual moves through different environments. We use tongue-flicking in northern water snakes, Nerodia sipedon, to examine the mechanics of sensory behavior as snakes move from terrestrial to aquatic habitats. A combination of high-speed video and mesocosm experiment revealed that water snakes will alter the mechanics of tongue-flicking in the context of their environment. Tongue-flicks on land are distinctive, with multiple oscillations, large protrusion distance, and high velocities. Comparatively, tongue-flicks under water are much shorter events, with reduced protrusion and fewer oscillations. At the surface of the water, in the presence of potential anuran prey, water snakes will tap the tips of the tongue on the surface of the water, without undergoing the full oscillations observed on land or underwater. We attribute the differences in the aerial and underwater tongue-flicks to trade-offs in the physical and chemical properties of the environment. The surface tapping behavior we observed is likely snakes altering their behavior to maximize the encounter and collection of frog-specific chemical cues, which are known to travel on the water's surface. Given the ecological transitions and distinctive biogeographical patterns rooted in water snake ecology, there are likely more examples of changing sensory mechanics to be discovered upon further investigation.
MyCap: a flexible and configurable platform for mobilizing the participant voice
Authors: Harris Paul A , Swafford Jonathan , Serdoz Emily S , Eidenmuller Jessica , Delacqua Giovanni , Jagtap Vaishali , Taylor Robert J , Gelbard Alexander , Cheng Alex C , Duda Stephany N 
Published: June 2022

AbstractThis paper provides a description of the MyCap data collection platform, utilization metrics, and vignettes associated with use from diverse research institutions. MyCap is a participant-facing mobile application for survey data collection and the automated administration of active tasks (activities performed by participants using mobile device sensors under semi-controlled conditions). Launched in 2018, MyCap is a no-code solution for research teams conducting longitudinal studies, integrates tightly with REDCap and is available at no cost to research teams at academic, nonprofit, or government organizations. MyCap has been deployed at multiple research institutions with application usage logged across 135 countries in 2021. Vignettes demonstrate that MyCap empowered research teams to explore and implement novel methods of information collection and use. MyCap’s integration with REDCap provides a comprehensive data collection ecosystem and is best suited for longitudinal studies with frequent requests for information from participants.
Quantification of methane emitted by ruminants: a review of methods
Authors: Tedeschi Luis Orlindo , Abdalla Adibe Luiz , Álvarez Clementina , Anuga Samuel Weniga , Arango Jacobo , Beauchemin Karen A , Becquet Philippe , Berndt Alexandre , Burns Robert , De Camillis Camillo , Chará Julián , Echazarreta Javier Martin , Hassouna Mélynda , Kenny David , Mathot Michael , Mauricio Rogerio M , McClelland Shelby C , Niu Mutian , Onyango Alice Anyango , Parajuli Ranjan , Pereira Luiz Gustavo Ribeiro , del Prado Agustin , Paz Tieri Maria , Uwizeye Aimable , Kebreab Ermias 
Published: June 2022

AbstractThe contribution of greenhouse gas (GHG) emissions from ruminant production systems varies between countries and between regions within individual countries. The appropriate quantification of GHG emissions, specifically methane (CH4), has raised questions about the correct reporting of GHG inventories and, perhaps more importantly, how best to mitigate CH4 emissions. This review documents existing methods and methodologies to measure and estimate CH4 emissions from ruminant animals and the manure produced therein over various scales and conditions. Measurements of CH4 have frequently been conducted in research settings using classical methodologies developed for bioenergetic purposes, such as gas exchange techniques (respiration chambers, headboxes). While very precise, these techniques are limited to research settings as they are expensive, labor-intensive, and applicable only to a few animals. Head-stalls, such as the GreenFeed system, have been used to measure expired CH4 for individual animals housed alone or in groups in confinement or grazing. This technique requires frequent animal visitation over the diurnal measurement period and an adequate number of collection days. The tracer gas technique can be used to measure CH4 from individual animals housed outdoors, as there is a need to ensure low background concentrations. Micrometeorological techniques (e.g., open-path lasers) can measure CH4 emissions over larger areas and many animals, but limitations exist, including the need to measure over more extended periods. Measurement of CH4 emissions from manure depends on the type of storage, animal housing, CH4 concentration inside and outside the boundaries of the area of interest, and ventilation rate, which is likely the variable that contributes the greatest to measurement uncertainty. For large-scale areas, aircraft, drones, and satellites have been used in association with the tracer flux method, inverse modeling, imagery, and LiDAR (Light Detection and Ranging), but research is lagging in validating these methods. Bottom-up approaches to estimating CH4 emissions rely on empirical or mechanistic modeling to quantify the contribution of individual sources (enteric and manure). In contrast, top-down approaches estimate the amount of CH4 in the atmosphere using spatial and temporal models to account for transportation from an emitter to an observation point. While these two estimation approaches rarely agree, they help identify knowledge gaps and research requirements in practice.
Application of resistivity sounding in Quaternary stratigraphic division in Yixing, Eastern China
Authors: Tian Shaobing , Zhang Ping , Shang Tongxiao , Chen Huogen , Li Yongxiang , Xu Shugang 
Published: June 2022

Abstract
Stratigraphic classification and correlation are fundamental for the study of regional geology, tectonic structures and paleogeographic evolution. Geological structures have undergone a dramatic change since the Quaternary. However, the division of the Quaternary stratigraphic boundary in southeastern China is debated. In this study, we used a direct current vertical electric sounding method to study the Quaternary strata in Yixing, Jiangsu, China. Using one-dimensional resistivity inversion and analyzing the regional geology and geological core data, the electrical features of the study area were evaluated. We found good agreement between the geological core data and lithological data, and we were able to identify two stratigraphic groups: the hilly sedimentary area in the southwest and the Tai Lake plain sedimentary area in the northeast. The latter can further subdivided into two parts. Division and classification of the Quaternary strata in the study area provide a basis for locating areas likely to have a high pore-confined water content (such as Gaoteng, Heqiao and Wanshi town), whereby useful information is provided for groundwater exploitation for emergency use.
Inhibiting Matrix Metalloproteinases Protects Evoked Electromyography Amplitudes and Muscle Tension in the Orbicularis Oris Muscle in a Rat Model of Facial Nerve Injury
Authors: Wu Shuang , Song Lijun , Yu Meirong , Gong Chao , Chen Lianhua 
Published: June 2022

Abstract
Facial nerve injury results in degradation of the neuromuscular junction (NMJ) and blocks neurotransmission between the pre- and postsynaptic structures, which are separated by a synaptic cleft. Matrix metalloproteinases (MMPs), enzymes that degrade and modify the extracellular matrix, play critical roles in regulating NMJ remodeling. We previously demonstrated that MMP1, MMP2, MMP3, MMP7, and MMP9 are overexpressed in facial nerve-innervated orbicularis oris muscle after facial nerve injury in a rat model. In the present study, the MMP inhibitor prinomastat was administered to rats after facial nerve injury. The MMP levels, agrin expression, and muscle-specific kinase (MuSK) phosphorylation were evaluated. Variations in evoked electromyography (EEMG) amplitude were also recorded. Compared with the control group, MMP expression in the orbicularis oris after facial nerve injury was significantly reduced in the prinomastat group. Inhibition of MMP expression maintained agrin expression and MuSK phosphorylation; the NMJ morphology was also protected after the injury. Moreover, prinomastat treatment sustained EEMG amplitude and muscle tension after the injury. These findings indicate that inhibiting MMPs can protect the function and morphology of the NMJ and demonstrate the need for protection of the NMJ at early stages after facial nerve injury.