bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimised and percolated nanocomposite of polyaniline/tungstic anhydride modified electrode implemented in Vanadium redox flow battery
Authors: U Reka , Vellakkat Mini , Mohan Sonima , Muralidhara H B 
Published: March 2024

Abstract
In order to make vanadium redox flow batteries (VRFB) economically viable on a large scale, it is crucial to create graphite-based electrode nanomaterials with an excellent performance. In this research work, we synthesized the various percentage nanocomposites of polyaniline (PANI)/nano-tungsten oxide (NTO) by in situ chemical oxidative polymerization method. The impact of crystal phases, elements present in nanocomposites, thermal stability, surface analysis, and morphological factors were studied. We investigated electrochemical behavior such as cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and Tafel studies for PANI and NTO and prepared nanocomposites (NPATO) with different proportions sprayed over graphite felt (GF). Characterization analysis was used to examine the impact of various NTO loading concentrations on the PANI, and an ideal best percolated sample NPATO20/GF (3 mg cm−2) was inserted as a positive electrode in the cell stack to examine the charge–discharge cycles. At 60 mA cm−2 current density, their coulombic (η
C), voltaic (η
V), and energy (η
E) efficiencies are outstanding. The concentration of 3 mg cm−2 nanoparticles on GF provided sufficient availability of active sites for electrochemical reactions, resulting in an increased electrochemical reaction. It has been proven that this work creates an affordable and efficient method for the forthcoming VRFBs.
A non-Newtonian magnetic curves in multiplicative Riemann manifolds
Authors: Has Aykut , Yılmaz Beyhan 
Published: March 2024

Abstract
The aim of this study is to rearrange magnetic curves and their main properties with the help of multiplicative calculi. Magnetic curves have been examined in many spaces with the tools of traditional (Newtonian) analysis and their characterizations have been obtained. The innovation brought by this study; magnetic curves and many other getometric and physical expressions were studied for the first time with non-Newtonian arguments in multiplicative space. In the study, the advantages of purely multiplicative operations and multiplicative calculation are used. Moreover, it unveils the distinctions (angle, norm, distance, line vb.) between the multiplicative Euclidean space and the conventional Euclidean space, offering a novel perspective on geometrically magnetic curves. As a result, the concept of multiplicative magnetic curves (t − magnetic, n − magnetic and b − magnetic) are introduced to the academic discourse, and the essential characterizations are established. The study also provides illustrative examples to facilitate a better is understood of the subject matter and employs Geogebra to generate visual representations of new concepts.
Evolution properties of partially coherent electromagnetic elliptical vortex beam propagating through atmospheric turbulence
Authors: Liu Wenli , Xu Yonggen , Xu Qian , Zhao Liang , Hu Xiarong 
Published: March 2024

Abstract
We obtained the analytical formulas of partially coherent electromagnetic elliptical vortex beam (PCEEVB) propagating through atmospheric turbulence with the help of the extended Huygens–Fresnel principle and explored the normalized average intensity distribution of PCEEVB in turbulence. It is worth noting that the PCEEVB appears new characteristics such as self-rotating, self-splitting, and self-healing in turbulence. It can be also found that the number of peaks caused by splitting of beams is relevant to the topological charge n. What’s more, reducing the ellipticity, magnifying the topological charge, and increasing the initial coherent length δ
0 can improve the anti-turbulence ability of PCEEVB in turbulence. The multi-phase screen simulation results are consistent with the theoretical results. Our results will have significant implications for laser communications, laser radar, and laser remote sensing.
The Stokes-Einstein-Debye relation in ortho-terphenyl liquid
Authors: Ren 任 Gan 淦 
Published: March 2024

Abstract
The Stokes–Einstein–Debye (SED) relation is proposed to be broken down in supercooled liquids by many studies. However, conclusions are usually drawn by testing some variants of the SED relation rather than its original formula. In this work, the rationality of the SED relation and its variants is examined by performing molecular dynamics simulations with the Lewis–Wahnstrom model of ortho-terphenyl (OTP). The results indicate the original SED relation is valid for OTP but the three variants are all broken down. The inconsistency between the SED relation and its variants is analyzed from the heterogeneous dynamics, the adopted assumptions and approximations as well as the interactions among molecules. Therefore, care should be taken when employing the variants to judge the validity of the SED relation in supercooled liquids.
Compensation temperatures and hysteresis behaviors of a graphene-like trilayer
Authors: An Ying , Liang Ji , Wang Wei , Du Mei-mei , Zhang Feng-ge 
Published: March 2024

Abstract
This work focuses on the ground-state phase diagram, the compensation temperatures and the critical behaviors of a ferrimagnetic graphene-like trilayer induced by crystal fields and exchange couplings. The simulation results show that a negative decrease in crystal field or an increase in exchange coupling can increase the critical temperature. More importantly, an M curve with double compensation temperatures can be observed, which is not predicted by the

N

e

́

el

theory. This remarkable compensation phenomenon has potential application value in the field of magnetic recording.
Exploring dielectric phenomena in sulflower-like nanostructures via Monte Carlo technique
Authors: Saber N , Fadil Z , Sabbah Hussein , Mhirech A , Kabouchi B , Bahmad L , Raorane Chaitany Jayprakash , Sana Siva Sankar , Fouad Hassan , Hashem Mohamed 
Published: March 2024

Abstract
This research focuses on the electric behavior of a mixed ferrielectric sulflower-like nanostructure. The structure includes a core with spin

S

i

Z

−
1

atoms and a shell with spin

σ

j

Z

−
5
/
2

atoms. The Blume–Capel model and the Monte Carlo technique (MCt) with the Metropolis algorithm are employed. Diagrams are established for absolute zero, investigating stable spin configurations correlated with various physical parameters. The MCt method explores phase transition behavior and electric hysteresis cycles under different physical parameters.
Bibliometric study with statistical patterns of industry 4.0 applied to process control
Authors: Cruzado-Yesquén K , Torres-Salazar E , Alvarez-Vasquez H , Saavedra-Ruíz J , Castañeda-Hipólito M , Gastiaburú-Morales S , Barandiarán-Gamarra J , Vásquez-Coronado M , Alviz-Meza A 
Published: March 2024

Abstract
Industries are interested in offering their products or services to the consumer using high standards in process control. Industry 4.0 has emerged as a series of technological tools that can be incorporated into various processes. This research aims to perform a bibliometric analysis of the application of Industry 4.0 in process control in different sectors from 2013 to 2022 through the Scopus and Web of Science databases. The data studied were extracted from the bibliographic information of citations, abstracts, and keywords published by the articles collected. These data were processed in RStudio. As a result, it was found that the most cited articles are deep and automatic learning. Both technologies aim to reduce anomalies, increasing product efficiency, reliability, and quality. The contribution of physics in this work is shown in data mining tools, such as Bibliometrix, whose foundation is given by mathematical and statistical models, to extract data useful for future scientific studies.
The fourth industrial revolution in South America: a bibliometric study with data mining tools
Authors: Castañeda-Hipólito M , Cruzado-Yesquén K , Gastiaburú-Morales S , Torres-Salazar E , Alvarez-Vasquez H , Barandiarán-Gamarra J , Vásquez-Coronado M , Alviz-Meza A 
Published: March 2024

Abstract
The fourth industrial revolution has boosted theory and technology up to the point of replicating human intelligence. Humankind generates enormous amounts of data that need to be stored, systematized, and applied to solve problems that improve daily life. This industrial revolution, also known as Industry 4.0, meets said need through practical applications in numerous fields such as medicine, commerce, robotics, transportation, tourism, and others. This study used the methodology of bibliometric analysis by using the Scopus database, aiming to evaluate the use of Industry 4.0 in South American countries in the last decade and its contribution to physics through the application of data mining tools. RStudio’s Biblioshiny software and VOSviewer were used to categorize and evaluate the contributions of some authors and countries. As a result, the use of remote sensing and machine learning technologies was found to be the most relevant. This bibliometric study provides a recent vision of Industry 4.0 to encourage its use for future research in South American countries.
Bioinspiration and biomimetics in marine robotics: a review on current applications and future trends
Authors: Prakash Amal , Nair Arjun R , Arunav H , P R Rthuraj , Akhil V M , Tawk Charbel , Shankar Karthik V 
Published: March 2024

Abstract
Over the past few years, the research community has witnessed a burgeoning interest in biomimetics, particularly within the marine sector. The study of biomimicry as a revolutionary remedy for numerous commercial and research-based marine businesses has been spurred by the difficulties presented by the harsh maritime environment. Biomimetic marine robots are at the forefront of this innovation by imitating various structures and behaviors of marine life and utilizing the evolutionary advantages and adaptations these marine organisms have developed over millennia to thrive in harsh conditions. This thorough examination explores current developments and research efforts in biomimetic marine robots based on their propulsion mechanisms. By examining these biomimetic designs, the review aims to solve the mysteries buried in the natural world and provide vital information for marine improvements. In addition to illuminating the complexities of these bio-inspired mechanisms, the investigation helps to steer future research directions and possible obstacles, spurring additional advancements in the field of biomimetic marine robotics. Considering the revolutionary potential of using nature’s inventiveness to navigate and thrive in one of the most challenging environments on Earth, the current review’s conclusion urges a multidisciplinary approach by integrating robotics and biology. The field of biomimetic marine robotics not only represents a paradigm shift in our relationship with the oceans, but it also opens previously unimaginable possibilities for sustainable exploration and use of marine resources by understanding and imitating nature’s solutions.
Biological Aging and Population Structure of Midwest Mennonites
Authors: Crawford Michael H 
Published: March 2024

Abstract
In 1980, a study was initiated on the genetics of biological aging and the population structure of Mennonite populations (Anabaptist religious isolate) of the Midwestern United States. The National Institute of Aging–supported study sampled three Mennonite communities, Goessel, Meridian, and Henderson, with a total sample of 1,252 volunteers. Populations from Goessel, Kansas, and Henderson, Nebraska, are the descendants of 191 families that migrated from Crimea, Russia, in 1874. The second phase of this project was initiated in 2004 and sampled Lone Tree and Garden View communities derived from Meridian, a Halderman Mennonite community. An index of biological age, based on neuromuscular performance and pulmonary function, revealed that individuals who age at a faster rate die sooner than those who are slow agers. Based on DNA markers, Mennonite subpopulations have differentiated genetically due to founder effect and genetic drift.
Basque Origins and Genetic Structure
Authors: Crawford Michael H 
Published: March 2024

Abstract
The Basques are unique populations of Spain and France who speak a non-Indo-European language. Their geographic location and genetic uniqueness have been explained by three conflicting hypotheses: (1) Basques share common ancestry with populations of the Caucasus, from where they originated; (2) they are descendants of ancient Iberians who migrated from North Africa 4,000–8,000 years ago; (3) Basques are a remnant population and descendants of Paleolithic Europeans. These hypotheses were tested using DNA extracted from buccal swabs from 35 villages and 652 participants. The DNA was tested for markers: mtDNA, NRY, and autosomal short tandem repeats. The results show that the Basques are a European ethnic group that has experienced genetic drift and gene flow. No significant genetic heterogeneity was observed, when a locus-by-locus AMOVA was applied to HVS-1 DNA sequences, suggesting that the Basque expansion occurred in the Paleolithic, and there was not a complete demic diffusion during the Neolithic transition.
A review of fecal microbiota, live-jslm for the prevention of recurrent Clostridioides difficile infection
Authors: Hunt Aaron , Drwiega Emily , Wang Yifan , Danziger Larry 
Published: March 2024

Abstract

Purpose
To review the composition, preparation, proposed mechanism of action, safety, efficacy, and current place in therapy of Rebyota (fecal microbiota, live-jslm).

Summary
As the first agent in a new class of drugs, live biotherapeutic products (LBPs), fecal microbiota, live-jslm offers another therapeutic approach for the prevention of recurrent Clostridioides difficile infection (rCDI). LBPs are given following antibiotic therapy for C. difficile to reintroduce certain bacteria present in the normal microbiome, as a means to reconstitute the microbiome of infected individuals. This review provides a summary of phase 2 and 3 clinical trials, product information, discussion of data limitations, and recommendations for place in therapy. High efficacy rates compared to placebo with sustained response up to 24 months after administration have been reported. The majority of adverse events identified were mild to moderate without significant safety signals.

Conclusion
Fecal microbiota, live-jslm has consistently been shown in randomized trials to be safe and effective in reducing rCDI. Its approval marks the culmination of decades of work to identify, characterize, and refine the intestinal microbiome to create pharmaceutical products.
Semisupervised transfer learning for evaluation of model classification performance
Authors: Wang Linshanshan , Wang Xuan , Liao Katherine P , Cai Tianxi 
Published: March 2024

ABSTRACT
In many modern machine learning applications, changes in covariate distributions and difficulty in acquiring outcome information have posed challenges to robust model training and evaluation. Numerous transfer learning methods have been developed to robustly adapt the model itself to some unlabeled target populations using existing labeled data in a source population. However, there is a paucity of literature on transferring performance metrics, especially receiver operating characteristic (ROC) parameters, of a trained model. In this paper, we aim to evaluate the performance of a trained binary classifier on unlabeled target population based on ROC analysis. We proposed Semisupervised Transfer lEarning of Accuracy Measures (STEAM), an efficient three-step estimation procedure that employs (1) double-index modeling to construct calibrated density ratio weights and (2) robust imputation to leverage the large amount of unlabeled data to improve estimation efficiency. We establish the consistency and asymptotic normality of the proposed estimator under the correct specification of either the density ratio model or the outcome model. We also correct for potential overfitting bias in the estimators in finite samples with cross-validation. We compare our proposed estimators to existing methods and show reductions in bias and gains in efficiency through simulations. We illustrate the practical utility of the proposed method on evaluating prediction performance of a phenotyping model for rheumatoid arthritis (RA) on a temporally evolving EHR cohort.
Triterpenoid ursolic acid regulates the environmental carcinogen benzo[a]pyrene-driven epigenetic and metabolic alterations in SKH-1 hairless mice for skin cancer interception
Authors: Sarwar Md Shahid , Ramirez Christina N , Kuo Hsiao-Chen Dina , Chou Pochung , Wu Renyi , Sargsyan Davit , Yang Yuqing , Shannar Ahmad , Peter Rebecca Mary , Yin Ran , Wang Yujue , Su Xiaoyang , Kong Ah-Ng 
Published: March 2024

Abstract
Polycyclic aromatic hydrocarbons (PAHs) are ubiquitous environmental carcinogens accountable to developing skin cancers. Recently, we reported that exposure to benzo[a]pyrene (B[a]P), a common PAH, causes epigenetic and metabolic alterations in the initiation, promotion and progression of non-melanoma skin cancer (NMSC). As a follow-up investigation, this study examines how dietary triterpenoid ursolic acid (UA) regulates B[a]P-driven epigenetic and metabolic pathways in SKH-1 hairless mice. Our results show UA intercepts against B[a]P-induced tumorigenesis at different stages of NMSC. Epigenomic cytosines followed by guanine residues (CpG) methyl-seq data showed UA diminished B[a]P-mediated differentially methylated regions (DMRs) profiles. Transcriptomic RNA-seq revealed UA revoked B[a]P-induced differentially expressed genes (DEGs) of skin cancer-related genes, such as leucine-rich repeat LGI family member 2 (Lgi2) and kallikrein-related peptidase 13 (Klk13), indicating UA plays a vital role in B[a]P-mediated gene regulation and its potential consequences in NMSC interception. Association analysis of DEGs and DMRs found that the mRNA expression of KLK13 gene was correlated with the promoter CpG methylation status in the early-stage comparison group, indicating UA could regulate the KLK13 by modulating its promoter methylation at an early stage of NMSC. The metabolomic study showed UA alters B[a]P-regulated cancer-associated metabolisms like thiamin metabolism, ascorbate and aldarate metabolism during the initiation phase; pyruvate, citrate and thiamin metabolism during the promotion phase; and beta-alanine and pathothenate coenzyme A (CoA) biosynthesis during the late progression phase. Taken together, UA reverses B[a]P-driven epigenetic, transcriptomic and metabolic reprogramming, potentially contributing to the overall cancer interception against B[a]P-mediated NMSC.
Alexithymia modulates emotion concept activation during facial expression processing
Authors: Yu Linwei , Wang Weihan , Li Zhiwei , Ren Yi , Liu Jiabin , Jiao Lan , Xu Qiang 
Published: March 2024

Abstract
Alexithymia is characterized by difficulties in emotional information processing. However, the underlying reasons for emotional processing deficits in alexithymia are not fully understood. The present study aimed to investigate the mechanism underlying emotional deficits in alexithymia. Using the Toronto Alexithymia Scale-20, we recruited college students with high alexithymia (n = 24) or low alexithymia (n = 24) in this study. Participants judged the emotional consistency of facial expressions and contextual sentences while recording their event-related potentials. Behaviorally, the high alexithymia group showed longer response times versus the low alexithymia group in processing facial expressions. The event-related potential results showed that the high alexithymia group had more negative-going N400 amplitudes compared with the low alexithymia group in the incongruent condition. More negative N400 amplitudes are also associated with slower responses to facial expressions. Furthermore, machine learning analyses based on N400 amplitudes could distinguish the high alexithymia group from the low alexithymia group in the incongruent condition. Overall, these findings suggest worse facial emotion perception for the high alexithymia group, potentially due to difficulty in spontaneously activating emotion concepts. Our findings have important implications for the affective science and clinical intervention of alexithymia-related affective disorders.
Functional and structural abnormalities of the speech disorders: a multimodal activation likelihood estimation meta-analysis
Authors: Cai Hao , Dong Jie , Mei Leilei , Feng Genyi , Li Lili , Wang Gang , Yan Hao 
Published: March 2024

Abstract
Speech disorders are associated with different degrees of functional and structural abnormalities. However, the abnormalities associated with specific disorders, and the common abnormalities shown by all disorders, remain unclear. Herein, a meta-analysis was conducted to integrate the results of 70 studies that compared 1843 speech disorder patients (dysarthria, dysphonia, stuttering, and aphasia) to 1950 healthy controls in terms of brain activity, functional connectivity, gray matter, and white matter fractional anisotropy. The analysis revealed that compared to controls, the dysarthria group showed higher activity in the left superior temporal gyrus and lower activity in the left postcentral gyrus. The dysphonia group had higher activity in the right precentral and postcentral gyrus. The stuttering group had higher activity in the right inferior frontal gyrus and lower activity in the left inferior frontal gyrus. The aphasia group showed lower activity in the bilateral anterior cingulate gyrus and left superior frontal gyrus. Across the four disorders, there were concurrent lower activity, gray matter, and fractional anisotropy in motor and auditory cortices, and stronger connectivity between the default mode network and frontoparietal network. These findings enhance our understanding of the neural basis of speech disorders, potentially aiding clinical diagnosis and intervention.
Neuroimaging genomics as a window into the evolution of human sulcal organization
Authors: Goltermann Ole , Alagöz Gökberk , Molz Barbara , Fisher Simon E 
Published: March 2024

Abstract
Primate brain evolution has involved prominent expansions of the cerebral cortex, with largest effects observed in the human lineage. Such expansions were accompanied by fine-grained anatomical alterations, including increased cortical folding. However, the molecular bases of evolutionary alterations in human sulcal organization are not yet well understood. Here, we integrated data from recently completed large-scale neuroimaging genetic analyses with annotations of the human genome relevant to various periods and events in our evolutionary history. These analyses identified single-nucleotide polymorphism (SNP) heritability enrichments in fetal brain human-gained enhancer (HGE) elements for a number of sulcal structures, including the central sulcus, which is implicated in human hand dexterity. We zeroed in on a genomic region that harbors DNA variants associated with left central sulcus shape, an HGE element, and genetic loci involved in neurogenesis including ZIC4, to illustrate the value of this approach for probing the complex factors contributing to human sulcal evolution.