bluuebunny/crossref_metadata_2025_split huggingface dataset:
Approximating local solution of the IVPs of nonlinear first order ordinary integrodifferential equations
Authors: Dhage Janhavi B. , Dhage Bapurao C. 
Published: December 2022

Abstract
In this paper, we prove a couple of approximation results for local existence and uniqueness of the solution of a IVP of nonlinear first order ordinary hybrid integrodifferential equations by using the Dhage monotone iteration method based on a hybrid fixed point theorem of Dhage (2022) and Dhage et al. (2022). An approximation result for the Ulam-Hyers stability of the local solution of the considered hybrid differential equation is also established. Our main abstract results are also illustrated with a couple of numerical examples. 2010 MSC: 47H10, 34A12, 34A34.
Sociocultural practices and beliefs during pregnancy, childbirth, and postpartum among indigenous pastoralist women of reproductive age in Manyara, Tanzania: A descriptive qualitative study
Authors: Felisian Seraphia , Mushy Stella Emmanuel , Tarimo Edith A.M. , Kibusi Stephen Mathew 
Published: December 2022

Abstract
Background
Despite interventions improving maternal and newborn morbidity and mortality, progress has been sluggish, especially in hard-to-reach indigenous communities. Sociocultural beliefs in these communities more often influence the adoption of particular behaviors throughout pregnancy, childbirth, and postpartum. Therefore, this study identified sociocultural beliefs and practices during pregnancy, childbirth, and postpartum among indigenous pastoralist women of reproductive age in the Manyara region, Tanzania.
Methods
The study was a descriptive qualitative design. We used purposive sampling to select twelve participants among community members who were indigenous women of Manyara who had ever experienced pregnancy. In-depth interviews were audio-recorded and transcribed verbatim, and organized manually. We used manual coding and inductive-deductive thematic analysis.
Results
The study’s findings showed that sociocultural beliefs and practices are widespread, covering antenatal through childbirth to the postnatal period. Both harmful and harmless practices were identified. For example, the use of herbal preparations to augment labor was reported. Previously, most women preferred home delivery; however, the practice is changing because of increased knowledge of home delivery complications and the accessibility of the facilities. Nevertheless, women still practice hazardous behaviors like applying strange things in the birth canal after delivery, increasing the risk of puerperal infection.
Conclusions
Sociocultural practices are predominant and widely applied throughout the peripartum period. These beliefs encourage adopting specific behaviors, most harmful to both mother and fetus. These sociocultural practices tend to affect the utilization of some essential maternal and child health practices. Eliminating unsafe peripartum practices will increase the use of medical services and ultimately improve outcomes for both mothers and their newborns. Public health interventions must recognize the cultural context informing these cultural practices in marginalized indigenous communities.
Dt-0111: a Novel P2x3 Receptor Antagonist
Authors: Pelleg Amir , Sirtori Elena , Rolland Jean-Francois , Mahadevan Anu 
Published: December 2022

Abstract
Extracellular adenosine 5’-triphosphate (ATP) acts as an autocrine and paracrine agent, the actions of which on affected cells are mediated by P2 receptors (P2R). In the lungs and airways, ATP activates P2X3 and P2X2/3 receptors (R) localized on vagal sensory nerve terminals resulting in bronchoconstriction, and cough, and probably also localized release of pro-inflammatory neuropeptides via the axon reflex. Currently, several P2X3R and P2X2/3R antagonists are being developed as drug-candidates for the treatment of chronic cough. This report presents the receptor affinity data of a novel water-soluble small molecule, DT-0111, that acts as a selective P2X3R antagonist.
Towards improved seasonal rainfall prediction in the tropical Pacific Islands
Authors: Tigona Robson , Ongoma Victor , Weir Tony 
Published: December 2022

Abstract
The El Niño Southern Oscillation (ENSO) is a major influence on interannual variability of rainfall in stations in the tropical southwest Pacific. Predictions of seasonal rainfall, especially a season or two ahead, are of great value to these countries. This paper therefore examines the correlations over ~ 60 years between seasonal rainfall and 8 ENSO indicators at 16 island stations, allowing for lead times. The results show the influence on rainfall of the position and movement of the South Pacific Convergence Zone (SPCZ) during ENSO events, and that the southern oscillation index (SOI), the sea surface temperature anomaly in the central Pacific, (Niño3.4), and the warm water volume in the eastern Pacific (WWV1) have longer lead times compared to most other ENSO indicators. These indicators can therefore be used with confidence in SCOPIC, a widely used statistical tool for prediction of seasonal rainfall. (As global climate models generally have systematic errors in their depiction of the SPCZ, they cannot yet be used directly to reliably predict seasonal rainfall in this region.)
Correlation analysis of European Sea Bass (Dicentrarchus labrax) Growth Hormone (GH) Gene and Growth Traits
Authors: Gökçek Emel Özcan , Işık Raziye , Karahan Bilge , Gamsız Kutsal 
Published: December 2022

Abstract

The growth hormone (GH) gene has important regulatory roles in postnatal somatic growth, metabolism and development of vertebrates and fish. The aim of this study was to identify the genetic variations in a partial region of the GH gene and its associations of these variants with growth traits using DNA sequencing in 200 European sea bass (Dicentrarchus labrax) individuals. Five haplotypes (HAP1-5) and ten novel SNPs were identified as g.1557 A>T, g.1611 T>C, g.1663 C>G, g.1799 T>C, g.1824 T>C, g.1912 T>A, g.2052 G>C in the 1st partial intron, 2nd exon, 2nd intron and 3rd partial exon of GH gene in European sea bass. The genotypes of GH g.1611 T>C locus were found associated with total weight, fillet weight and head length (p < 0.05). Association between the genotypes of GH g.1557A>T and pre-anal length, abdominal length were found statistically significant (p < 0.05). Similarly, the genotypes of g.1857 C>T loci which caused the synonymous mutation in phenylalanine amino acid were found associated with standard length (P<0.05). The HAP4 has greater weight and length traits than the other haplotypes (p < 0.05). Taken together, the HAP4 with positive effects on body weight and length traits should be used as a potential marker to improve the accuracy of selection in European sea bass in Mediterannean conditions.
Equivalences of Geometric Ergodicity of Markov Chains
Authors: Gallegos-Herrada Marco A. , Ledvinka David , Rosenthal Jeffrey S. 
Published: December 2022

Abstract
This paper gathers together different conditions which are all equivalent to geometric ergodicity of time-homogeneous Markov chains on general state spaces. A total of 34 different conditions are presented (27 for general chains plus 7 for reversible chains), some old and some new, in terms of such notions as convergence bounds, drift conditions, spectral properties, etc., with different assumptions about the distance metric used, finiteness of function moments, initial distribution, uniformity of bounds, and more. Proofs of the connections between the different conditions are provided, somewhat self-contained but using some results from the literature where appropriate.
Geochemical Insight into CO2 Migration in a Faulted Caprock
Authors: Weber Ulrich Wolfgang , Rinaldi Antonio Pio , Roques Clement , Wenning Quinn , Bernasconi Stefano , Brennwald Matthias , Jaggi Madalina , Nussbaum Christophe , Schefer Senecio , Mazzotti Marco , Wiemer Stefan , Giardini Domenico , Zappone Alba , Kipfer Rolf 
Published: December 2022

Abstract
The sealing characteristics of the geological formation located above a CO2 storage reservoir, the so-called caprock, are essential to ensure efficient geological carbon storage. In case CO2 were to leak through the caprock, temporal changes in fluid geochemistry can reveal fundamental information on migration mechanisms and induced fuid-rock interactions.
Here, we present the results from a unique in-situ injection experiment, where CO2-enriched fluid was continuously injected in a faulted caprock analogue. Results show that the CO2 migration follows complex path- ways within the fault structure. The joint analysis of noble gases, ion concentrations and carbon isotopes allow us to quantify mixing between injected CO2-enriched fluid and resident formation water and to describe the temporal evolution of water-rock interaction processes. The results presented here are a crucial complement to the geophysical monitoring at the fracture scale highlighting a unique migration of CO2 in fault zones.
Adaptive Partitioning-based Discrete Unified Gas-Kinetic Scheme for Flows in All Flow Regimes
Authors: Yang L.M. , Han L.C. , Ding H. , Li Z.H. , Shu C. , Liu Y.Y. 
Published: December 2022

AbstractThe discrete unified gas kinetic scheme (DUGKS) is a multiscale approach, which can be used to obtain reasonable results in all flow regimes. The key of this method is the reconstruction of numerical fluxes at the cell interface by coupling the motion of particles from their collisions, namely the use of the discrete characteristic solution to the Boltzmann-BGK equation at the cell interface to calculate numerical fluxes. But like all the discrete velocity methods (DVMs), the computational cost of DUGKS is determined by the discretization in both the physical space and the velocity space. For the continuous flow region in the computational domain, the discretization in the velocity space is unnecessary since the distribution function can be reconstructed from the Chapman-Enskog expansion directly. To improve the efficiency of DUGKS in capturing cross-scale flow physics, an adaptive partitioning-based discrete unified gas kinetic scheme (ADUGKS) is developed in this work. The ADUGKS is designed from the discrete characteristic solution to the Boltzmann-BGK equation, which contains the initial distribution function and the local equilibrium state. The initial distribution function contributes to the calculation of free streaming fluxes and the local equilibrium state contributes to the calculation of equilibrium fluxes. If the contribution of the initial distribution function is negative., the local flow field can be regarded as the continuous flow and the Navier-Stokes (N-S) equations can be used to obtain the solution directly. Otherwise, the discrete distribution functions should be updated by the Boltzmann equation to capture the rarefied effect. Given this, the computational domain is divided into the DUGKS cell and the N-S cell based on the contribution of the initial distribution function to the calculation of free streaming fluxes. In the N-S cell, the local flow field is evolved by solving the Navier-Stokes equations, while in the DUGKS cell, both the discrete velocity Boltzmann equation and the corresponding macroscopic governing equations are solved by a modified DUGKS. Since more and more cells turn into the N-S cell with the decrease of the Knudsen number, a significant acceleration can be achieved for the ADUGKS in the continuum flow regime as compared with the DUGKS.
A Novel Deepfake Detection Framework using Audio-Video-Textual Features
Authors: S Asha , Vinod P , Amerini Irene , Menon Varun G 
Published: December 2022

Abstract
Recent advances in deep learning and computer vision have spawned a new class of forgeries known as deepfakes. Deepfakes raise many legal and ethical concerns, which makes the need to distinguish them demanding. Emerging trends in deepfakes are (i) creation of realistic facial deepfakes, (ii) usage of synthesized human voices and fabricated subtitles in addition to facial threats, and (iii) crafting bogus videos that contain illegal content in between original sequences. To efficiently handle these deepfakes, we propose an ensemble deepfake detection framework named the D-Fence layer. It comprises two unimodal classifiers to identify facial and vocal tainted inputs. Additionally, it incorporates two cross-modal classifiers between related domains, Video-Audio and Audio-Text to recognize deepfakes. Since existing datasets lack fake content across multiple modalities, we construct a multi-modal faux dataset using original videotapes from several existing datasets. To ensure the effectiveness in spotting fake videos generated using modern approaches, we present a novel facial threat ’Bogus-in-the-middle’ attack, which inserts fake video frames between the real ones and ’Downsampling attack’ to craft fraudulent audio. A comparative study of our D-Fence layer against various state-of-the-art multi-modal deepfake detection systems is also conducted. The proposed ensemble architecture outperforms existing unimodal classifiers and efficiently detects deepfakes under several adversarial conditions with a detection accuracy of 89.5%.
Studying folding kinetics of omicron to understand its hijack mechanism in human host cells
Authors: S Saranya , C Sangavai , B Roja , P Chellapandi 
Published: December 2022

Abstract
Coronavirus disease (COVID-19) has rapidly expanded into a global pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Genetic drift in global SARS-CoV-2 isolates and protein evolution have an impact on their ability to escape from current antiviral therapeutics. Hence, our study aimed to reveal how mutations in the folding kinetics of assembly and maturation proteins drive the hijack ability to emerge SARS-CoV-2 variants in humans. In this study, we predicted the folding rate of these proteins using multiple regression analysis and validated the prediction accuracy using machine learning algorithms. Hybrid machine learning using linear regression, random forest, and decision tree was used to evaluate the predicted folding rates compared with other machine learning models. In SARS-CoV-2 variants, the sequence-structure-function-folding rate link stabilizes or retains the mutated residues, making stable near-native protein structures. The folding rates of these protein mutants were increased in their structural classes, particularly β-sheets, which accommodated the hijacking ability of new variants in human host cells. E484A and L432R were identified as potent mutations that resulted in drastic changes in the folding pattern of the spike protein. We conclude that receptor-binding specificity, infectivity, multiplication rate, and hijacking ability are directly associated with an increase in the folding rate of their protein mutants.
Survey of Code Completion using DeepLearning
Authors: Tiwari Aditya Tiwari Aditya , Singh Mimansha Singh Mimansha , Yadav Vrinda Yadav Vrinda 
Published: December 2022

Abstract
Code completion systems are able to generate code automatically whendevelopers write code for system development. Developers use variousIDEs to write a program where IDEs refer to integrated develop-ment environments. Some of the available IDEs are Visual studio,IntelliJ idea, PyCharm, NetBeans, Eclipse, RubyMine, Aptana Studio3, PhpStorm, and WebStorm. Sometimes developers are stuck withprogramming for complex problems, code generation systems supportthem by suggesting the next word that may appear after the writ-ten word. Therefore, it is treated as an essential service feature inIDEs and a popular tool for coding assistance. A good code genera-tor should produce correct and efficient code. This paper investigatesthe current state of research in the code generation field using DeepLearning models. Classification based on various parameters is discussedin the paper. A comparison study is presented with respect to theirdataset, model implementations, and results obtained. A few researchquestions are also discussed which need to be addressed in future.
The effect of biochemical markers in first-trimester screening test in predicting gestational diabetes mellitus
Authors: Dal Yusuf , Karagün Şebnem , Akkuş Fatih , Aytam Hakan , Coşkun Ayhan 
Published: December 2022

Abstract
Objective
Early diagnosis and treatment are critical to minimize the complications of gestational diabetes mellitus (GDM). Therefore, the present study aimed to determine whether first-trimester screening test biochemical markers could be an early predictive model for GDM.
Material and Method:
This retrospective study was performed by accessing the electronic media data of 116 pregnant women who underwent first-trimester screening tests at the 11th-14th weeks of gestation and were diagnosed with GDM at the 24th-28th weeks and 65 pregnant women who did not receive this diagnosis. Demographic characteristics of GDM and control groups, first-trimester screening test biochemical markers, oral glucose tolerance test (OGTT), and hemoglobin A1c values were recorded, and intergroup comparison was made.
Results
There was no statistically significant difference between the groups regarding first-trimester biochemical markers (p > 0.05). A negative correlation was determined between PAPP-A and free hCG multiple of median (MoM) values and OGTT fasting value (p < 0.05).
Conclusion
In this study, we concluded that first-trimester biochemical markers could not predict the development of GDM.
Deep venous thrombosis following placement of temporary hemodialysis catheters in patients with chronic kidney disease
Authors: Viswanathan Stalin , Palakkool Stalin , Adithan Subathra 
Published: December 2022

Abstract
Background
The prevalence of chronic kidney disease (CKD) is high in India, with 50% of patients presenting with stage 5 CKD and undergoing hemodialysis primarily via central venous catheters (CVCs). Catheter occlusion may occur due to mechanical twisting, thrombosis, or drug use. The CKD spectrum is a risk for catheter-related thrombosis (CRT). Deep venous thrombosis (DVT) is less often studied in CKD with CVCs. We aimed to determine the incidence rates of DVT (limb extremity and deep thoracic veins) and their contributing factors.
Materials and methods
The study was prospective and observational for three years in a tertiary care government teaching hospital. Patients with ESRD and temporary hemodialysis catheters (HDCs) placed for maintenance hemodialysis (on an emergency basis or until the maturation of arteriovenous fistula [AVF]) were followed up for three months. Those already undergoing hemodialysis elsewhere, either through HDC or AVF, were excluded. Incidence rates of DVT per 1000 catheter-days were calculated.
Results
The mean age was 46.6±13.47 years;190/278 were males. A total of 140 patients had CKD for < 6 months. A total of 103 patients had at least one risk factor for DVT. 24/278 (8.6%) developed DVT giving an incidence rate of 0.95/1000 catheter days. A median of 7 sessions of hemodialysis and a mean of 19.8±6.4 days before the development of DVT was seen. The odds ratio for developing DVT for right IJV, left IJV, right femoral, and left femoral were 0.2, 5.0, 1.1, and 4.3, respectively. Thirty-one developed catheter-related blood stream infection (CRBSI); six had both coexisting DVT and CRBSI.
Conclusion
The incidence of DVT was low. Patients with CKD need diagnosis and planning for hemodialysis earlier. Screening patients with HDCs may enable quicker diagnosis of DVT since many are asymptomatic.
Self-powered non-reciprocal phononic logic gates
Authors: Zhang Liang , Tan Ting , Wang Zhemin , Li Tianrun , chen yinghua , WANG Benlong , Yan Zhimiao 
Published: December 2022

Abstract
Mechanical computing provides an information processing method adapting and interacting with the environment via living materials. As in electronic computing, power supply in mechanical computing is still the challenge. Designing self-powered logic gates can expand application scenarios of mechanical computing for environmental interaction. Here we formulate a framework of self-powered phononic logic gates as the basis for mechanical computing of the integrated acoustic circuit. Via tuning non-reciprocal bands, resonant band and obstacle band of a topologically imbalanced graded phononic crystal that breaks the spatial inversion symmetry, complete seven Boolean logic gates are realized on one metamaterial. The input of the logic gate, Lamb wave, is converted to the electric signal as the self-powered output by combination of the superior evanescent effect of the defect mode and the positive piezoelectric effect. An exemplify real-time heart rate monitoring powered by the graded phononic crystal is demonstrated for high-density energy conversion. The self-powered non-reciprocal phononic logic gates can be implemented on any length scale and broad external conditions.
Experimental and numerical column buckling analysis of hardwood Cross Laminate Timber (CLT) panels
Authors: Sciomenta Martina , Bedon Chiara , Fragiacomo Massimo 
Published: December 2022

Abstract
This paper investigates the column buckling behaviour of three-layer Cross Laminated Timber (CLT) panels under compression, from both the experimental and numerical point of view. The main aim of present study is hence to define the expected load-bearing capacity for these composite CLT solutions, and to assess the typical fracture mechanism for two different series of specimens of possible technical interest for construction applications. To this aim, a total of 14 column buckling experiments is carried out. First, a set of 7 homogeneous speciemens (“HO” series), which are entirely made of beech, are investigated. Their load-bearing capacity is compared with the column buckling performance of 7 hybrid specimens (“HB” series), whose inner layers are made of Corsican pine. Overall, the experimental analysis gives evidence of a rather stable column buckling capacity for CLT panels, with evidence of major failure mode due to out-of-plane bending phenomenam, but also rolling shear and delamination. Finally, further assessment of experimental evidences is provided by extended analytical calculations (based on existing formulations, including the Eurocode 5 approach) and even Finite Element (FE) numerical analyses for the examined three-layer CLT compositions. Comparative results are discussed in terms of structural performance, capacity, weakness of analytical models for CLT solutions.