bluuebunny/crossref_metadata_2025_split huggingface dataset:
Combined effect of nitrogen-doped carbon and NiCo2O4 for electrochemical water splitting
Authors: Kubińska Laura , Szkoda Mariusz , Skorupska Malgorzata , Grabowska Patrycja , Gajewska Marta , Lukaszewicz Jerzy P. , Ilnicka Anna 
Published: November 2024

AbstractElectrocatalytic water splitting for green hydrogen production necessitates effective electrocatalysts. Currently, commercial catalysts are primarily platinum-based. Therefore, finding catalysts with comparable catalytic activity but lower cost is essential. This paper describes spinel-structured catalysts containing nickel cobaltite NiCo2O4, graphene, and additionally doped with heteroatoms. The structure and elemental composition of the obtained materials were analyzed by research methods such as TEM, SEM-EDX, XRD, XPS, and Raman spectroscopy. The electrochemical measurements showed that hybrid materials containing nickel cobaltite NiCo2O4 doped with graphene are highly active catalysts in the hydrogen evolution reaction (Tafel slopes = 91 mV dec−1, overpotential = 468 mV and onset potential = -339 mV), while in the oxygen evolution reaction (Tafel slopes = 51 mV dec−1, overpotential = 1752 mV and onset potential = 370 mV), bare NiCo2O4 without the addition of carbon has a worse activity (for HER: Tafel slopes = 120 mV dec−1, overpotential - does not achieve and onset potential = -404 mV, for OER: Tafel slopes = 54 mV dec−1, overpotential = 1796 mV and onset potential = 410 mV). In terms of stability, comparable results were obtained for each synthesized compound for both the HER and OER reactions.
Public health concern of antimicrobial resistance and virulence determinants in E. coli isolates from oysters in Egypt
Authors: Mohammed Rahma , Nader Sara M. , Hamza Dalia A. , Sabry Maha A. 
Published: November 2024

AbstractThe emergence of critical-priority E. coli, carrying a wide array of resistance and virulence factors through food sources, poses a significant challenge to public health. This study aimed to investigate the potential role of oysters sold in Egypt as a source for E. coli, identify their resistance and virulence-associated gene profiles, and assess associated zoonotic risks. A total of 33 pooled fresh oyster samples were obtained from various retail fish markets in Egypt and examined bacteriologically for the presence of E. coli. Antimicrobial resistance was performed by the disk-diffusion method, and the multiple antibiotic resistance index (MAR) was calculated. All isolates were screened for extended-spectrum beta-lactamase (ESBL) (blaTEM, blaSHV, blaCTX−M, and blaOXA−1), plasmid-mediated AmpC blaCMY−2, and carbapenemases (blaKPC, blaNDM, blaVIM, and blaOXA−48) genes by Polymerase chain reaction. Moreover, the presence of virulence-encoding genes was investigated. The virulent MDR strains were clustered using R with the pheatmap package. The prevalence of E. coli was 72.7% (24 out of 33), with 66.7% of the isolates classified as multi-drug resistant, and 75% exhibited MAR values exceeding the 0.2 threshold. Different antimicrobial sensitivity phenotypes and genotype profiles were identified in E. coli isolates. The most prevalent gene detected among all isolates was blaTEM (22/24, 91.7%). Notably, all non-ESBL producers were positive for blaCMY2. Carbapenem-resistant and carbapenem-intermediate strains were carbapenemase producers, with the predominance of the blaKPC gene (11/24, 45.8%). Remarkably, twelve out of sixteen virulence genes were identified, with papC (21/24, 87.5%) and sfa (16/24, 66.7%) genes being the most prevalent. Most isolates carry virulence genes primarily associated with extra-intestinal pathogenic E. coli (ExPEC) (87.5%) and enteropathogenic (EPEC) (70.8%) pathotypes. Four E. coli isolates exhibit cluster patterns. This study provides the first insight into the emergence of virulent MDR E. coli among oysters in Egypt. It underscores the potential role of oysters as a source for disseminating these strains within aquatic ecosystems, presenting a possible threat to public health.
Uncovering migration systems through spatio-temporal tensor co-clustering
Authors: Almquist Zack W. , Nguyen Tri Duc , Sorensen Mikael , Fu Xiao , Sidiropoulos Nicholas D. 
Published: November 2024

AbstractA central problem in the study of human mobility is that of migration systems. Typically, migration systems are defined as a set of relatively stable movements of people between two or more locations over time. While these emergent systems are expected to vary over time, they ideally contain a stable underlying structure that could be discovered empirically. There have been some notable attempts to formally or informally define migration systems. However, they have been limited by being hard to operationalize and defining migration systems in ways that ignore origin/destination aspects and fail to account for migration dynamics over time. In this work, we propose to employ spatio-temporal tensor co-clustering—that stems from signal processing and machine learning theory—as a novel migration system analysis tool. Tensor co-clustering is designed to cluster entities exhibiting similar patterns across multiple modalities and thus suits our purpose of analyzing spatial migration activities across time. To demonstrate its effectiveness in describing stable migration systems, we first focus on domestic migration between counties in the US from 1990 to 2018. We conduct three case studies on domestic migration, namely, (i) US Metropolitan Areas, (ii) the state of California, and (iii) Louisiana, in which the last focuses on detecting exogenous events such as Hurricane Katrina in 2005. In addition, we also examine a case study at a larger scale, using worldwide international migration data from 200 countries between 1990 and 2015. Finally, we conclude with a discussion of this approach and its limitations.
Event Horizon Telescope observations exclude compact objects in baseline mimetic gravity
Authors: Khodadi Mohsen , Vagnozzi Sunny , Firouzjaee Javad T. 
Published: November 2024

AbstractMimetic gravity has gained significant appeal in cosmological contexts, but static spherically symmetric space-times within the baseline theory are highly non-trivial: the two natural solutions are a naked singularity and a black hole space-time obtained through an appropriate gluing procedure. We study the shadow properties of these two objects, finding both to be pathological. In particular, the naked singularity does not cast a shadow, whereas the black hole casts a shadow which is too small. We argue that the Event Horizon Telescope images of M87$$^{\star }$$ and Sgr A$$^{\star }$$ rule out the baseline version of mimetic gravity, preventing the theory from successfully accounting for the dark sector on cosmological scales. Our results highlight an interesting complementarity between black hole imaging observations and modified gravity theories of cosmological interest.
Effect of NK cell receptor genetic variation on allogeneic stem cell transplantation outcome and in vitro NK cell cytotoxicity
Authors: Nihtilä Julia , Penna Leena , Salmenniemi Urpu , Itälä-Remes Maija , Crossland Rachel E. , Gallardo David , Bogunia-Kubik Katarzyna , Lacina Piotr , Bieniaszewska Maria , Giebel Sebastian , Karjalainen Katariina , Jahan Farhana , Kerkelä Erja , Hyvärinen Kati , Koskela Satu , Ritari Jarmo , Partanen Jukka 
Published: November 2024

AbstractNatural killer (NK) cells recognize and may kill malignant cells via their cell surface receptors. Killer cell immunoglobulin-like receptor (KIR) genotypes of donors have been reported to adjust the risk of relapse after allogeneic stem cell transplantation (HSCT), particularly in patients with acute myeloid leukemia. To test whether non-KIR NK cell receptors have a similar effect, we screened 1,638 genetic polymorphisms in 21 non-KIR NK cell receptor genes for their associations with relapse and graft-versus-host disease (GVHD) after HSCT in 1,491 HSCT donors (from Finland, the UK, Spain, and Poland), divided into a discovery and replication cohort. Eleven polymorphisms regulating or located in CD226, CD244, FCGR3A, KLRD1, NCR3, and PVRIG were associated with the risks for relapse and GVHD. These associations could not be confirmed in the replication cohort. Blood donor NK cells carrying alleles showing genetic protection for relapse had a higher in vitro NK cell killing activity than non-carriers whereas those with alleles genetically protective for GVHD had lower cytotoxicity, potentially indicating functional effects. Taken together, these results show no robust effects of genetic variation in the tested non-KIR NK cell receptors on the outcome of HSCT.
Mutational signature analyses in multi-child families reveal sources of age-related increases in human germline mutations
Authors: Shojaeisaadi Habiballah , Schoenrock Andrew , Meier Matthew J. , Williams Andrew , Norris Jill M. , Palmer Nicholette D. , Yauk Carole L. , Marchetti Francesco 
Published: November 2024

AbstractWhole-genome sequencing studies of parent–offspring trios have provided valuable insights into the potential impact of de novo mutations (DNMs) on human health and disease. However, the molecular mechanisms that drive DNMs are unclear. Studies with multi-child families can provide important insight into the causes of inter-family variability in DNM rates but they are highly limited. We characterized 2479 de novo single nucleotide variants (SNVs) in 13 multi-child families of Mexican-American ethnicity. We observed a strong paternal age effect on validated de novo SNVs with extensive inter-family variability in the yearly rate of increase. Children of older fathers showed more C > T transitions at CpG sites than children from younger fathers. Validated SNVs were examined against one cancer (COSMIC) and two non-cancer (human germline and CRISPR-Cas 9 knockout of human DNA repair genes) mutational signature databases. These analyses suggest that inaccurate DNA mismatch repair during repair initiation and excision processes, along with DNA damage and replication errors, are major sources of human germline de novo SNVs. Our findings provide important information for understanding the potential sources of human germline de novo SNVs and the critical role of DNA mismatch repair in their genesis.
Kinetic inductance current sensor for visible to near-infrared wavelength transition-edge sensor readout
Authors: Szypryt Paul , Bennett Douglas A. , Fogarty Florang Ian , Fowler Joseph W. , Giachero Andrea , Hummatov Ruslan , Lita Adriana E. , Mates John A. B. , Nam Sae Woo , O’Neil Galen C. , Swetz Daniel S. , Ullom Joel N. , Vissers Michael R. , Wheeler Jordan , Gao Jiansong 
Published: November 2024

AbstractSingle-photon detectors based on the superconducting transition-edge sensor are used in a number of visible to near-infrared applications, particularly for photon-number-resolving measurements in quantum information science. To be practical for large-scale spectroscopic imaging or photonic quantum computing applications, the size of visible to near-infrared transition-edge sensor arrays and their associated readouts must be increased from a few pixels to many thousands. In this manuscript, we introduce the kinetic inductance current sensor, a scalable readout technology that exploits the nonlinear kinetic inductance in a superconducting resonator to make sensitive current measurements. Kinetic inductance current sensors can replace superconducting quantum interference devices for many applications because of their ability to measure fast, high slew-rate signals, their compatibility with standard microwave frequency-division multiplexing techniques, and their relatively simple fabrication. Here, we demonstrate the readout of a visible to near-infrared transition-edge sensor using a kinetic inductance current sensor with 3.7 MHz of bandwidth. We measure a readout noise of $$1.4\,{{{\rm{pA}}}}/\sqrt{{{{\rm{Hz}}}}}$$
1.4

pA
/

Hz

, considerably below the detector noise at frequencies of interest, and an energy resolution of (0.137 ± 0.001) eV at 0.8 eV, comparable to resolutions observed with non-multiplexed superconducting quantum interference device readouts.
Antibiotic resistance mediated by gene amplifications
Authors: Silva Kalinga Pavan T. , Khare Anupama 
Published: November 2024

AbstractApart from horizontal gene transfer and sequence-altering mutational events, antibiotic resistance can emerge due to the formation of tandem repeats of genomic regions. This phenomenon, also known as gene amplification, has been implicated in antibiotic resistance in both laboratory and clinical scenarios, where the evolution of resistance via amplifications can affect treatment efficacy. Antibiotic resistance mediated by gene amplifications is unstable and consequently can be difficult to detect, due to amplification loss in the absence of the selective pressure of the antibiotic. Further, due to variable copy numbers in a population, amplifications result in heteroresistance, where only a subpopulation is resistant to an antibiotic. While gene amplifications typically lead to resistance by increasing the expression of resistance determinants due to the higher copy number, the underlying mechanisms of resistance are diverse. In this review article, we describe the various pathways by which gene amplifications cause antibiotic resistance, from efflux and modification of the antibiotic, to target modification and bypass. We also discuss how gene amplifications can engender resistance by alternate mutational outcomes such as altered regulation and protein structure, in addition to just an increase in copy number and expression. Understanding how amplifications contribute to bacterial survival following antibiotic exposure is critical to counter their role in the rise of antimicrobial resistance.
Potential drivers of urban green space availability in Latin American cities
Authors: Bakhtsiyarava Maryia , Moran Mika , Ju Yang , Zhou Yuquan , Rodriguez Daniel A. , Dronova Iryna , de Fatima Rodrigues Pereira de Pina Maria , de Matos Vanderlei Pascoal , Skaba Daniel Albert 
Published: November 2024

AbstractUrban green spaces play a critical role in regulating air temperature, reducing air pollution and enhancing people’s well being. Yet, existing data and research on potential drivers of urban green space availability in Latin America are limited. Here, focusing on 371 large cities in 11 countries in Latin America, we described the total and per capita variability of urban green space, its spatial configuration and green urban parks across the categories of cities’ natural, built and socioeconomic environments. We tested the relative importance of geographic (climate) versus city-level built environment (population, population density, street intersection density) and socioeconomic (city gross domestic product per capita, unemployment, education) drivers in explaining urban green space availability. We found a high level of heterogeneity in green space quantity across cities and across categories of cities’ environments. Relative to other city factors, climate zone had the largest influence in explaining the quantity of green space, whereas education, street intersection density and population density were the most important drivers of urban park availability. The significance of climate for green space availability, combined with the inequitable quantity of green space, indicates that cities have differing capacities to implement nature-based solutions for heat mitigation and health promotion.
Impact of photobleaching on quantitative, spatio-temporal, super-resolution imaging of mitochondria in live C. elegans larvae
Authors: Ioannis Segos , Jens Van Eeckhoven , Alan Greig , Michael Redd , Christopher Thrasivoulou , Barbara Conradt 
Published: November 2024

AbstractSuper-resolution (SR) 3D rendering allows superior quantitative analysis of intracellular structures but has largely been limited to fixed or ex vivo samples. Here we developed a method to perform SR live imaging of mitochondria during post-embryonic development of C. elegans larvae. Our workflow includes the drug-free mechanical immobilisation of animals using polystyrene nanobeads, which has previously not been used for in vivo SR imaging. Based on the alignment of moving objects and global threshold-based image segmentation, our method enables an efficient 3D reconstruction of individual mitochondria. We demonstrate for the first time that the frequency distribution of fluorescence intensities is not affected by photobleaching, and that global thresholding alone enables the quantitative comparison of mitochondria along timeseries. Our composite approach significantly improves the study of biological structures and processes in SR during C. elegans post-embryonic development. Furthermore, the discovery that image segmentation does not require any prior correction against photobleaching, a fundamental problem in fluorescence microscopy, will impact experimental strategies aimed at quantitatively studying the dynamics of organelles and other intracellular compartments in any biological system.
Stochastically structured illumination microscopy scan less super resolution imaging
Authors: Fusco Denzel , Xypakis Emmanouil , Gigante Ylenia , Mautone Lorenza , Di Angelantonio Silvia , Ponsi Giorgia , Ruocco Giancarlo , Leonetti Marco 
Published: November 2024

AbstractIn super-resolution, a varying illumination image stack is required. This enriched dataset typically necessitates precise mechanical control and micron-scale optical alignment and repeatability. Here, we introduce a novel methodology for super-resolution microscopy called stochastically structured illumination microscopy (S2IM), which bypasses the need for illumination control exploiting instead the random, uncontrolled movement of the target object. We tested our methodology within the clinically relevant ophthalmoscopic setting, harnessing the inherent saccadic motion of the eye to induce stochastic displacement of the illumination pattern on the retina. We opted to avoid human subjects by utilizing a phantom eye model featuring a retina composed of human induced pluripotent stem cells (iPSC) retinal neurons and replicating the ocular saccadic movements by custom actuators. Our findings demonstrate that S2IM unlocks scan-less super-resolution with a resolution enhancement of 1.91, with promising prospects also beyond ophthalmoscopy applications such as active matter or atmospheric/astronomical observation.
Towards next-gen smart manufacturing systems: the explainability revolution
Authors: Abhilash Puthanveettil Madathil , Luo Xichun , Liu Qi , Madarkar Rajeshkumar , Walker Charles 
Published: November 2024

AbstractThe paper shares the author’s perspectives on the role of explainable-AI in the evolving landscape of AI-driven smart manufacturing decisions. First, critical perspectives on the reasons for the slow adoption of explainable-AI in manufacturing are shared, leading to a discussion on its role and relevance in inspiring scientific understanding and discoveries towards achieving complete autonomy. Finally, to standardize explainability quantification, a new Transparency–Cohesion–Comprehensibility (TCC) evaluation framework is proposed and demonstrated.
Crystalline/amorphous c-NiMo/a-NiMoOx nanoarrays for urea-assisted energy-saving H2 production in alkaline seawater
Authors: Guo Dongxue , Ping Yi , Wang Chuanjiao , Hou Changan , Wang Danhong 
Published: November 2024

Electrocatalytic seawater splitting is regarded as the most effective method for producing green hydrogen (H2), replacing sluggish oxygen evolution reaction (OER) with thermodynamically favorable urea oxidation reaction (UOR) would enable energy-saving and chlorine-free H2 production.
Low‐temperature SOI SiGe/Si superlattice FinFET with omega‐shaped channel and self‐allied silicide for 3D sequential IC
Authors: Qin Xu‐Lei , Sang Guan‐Qiao , Cao Lei , Li Qing‐Kun , Jiang Ren‐Jie , Wei Yan‐Zhao , Li Jun‐Feng , Yao Jia‐Xin , Zhang Mei‐He , Zhang Qing‐Zhu , Yin Hua‐Xiang 
Published: November 2024

AbstractIn this letter, to improve the performance and reduce leakage currents of bulk low‐temperature multi‐layer SiGe/Si superlattice (SL) fin field‐effect transistors (FinFETs), a p‐type omega‐shaped channel (Ω‐channel) SL FinFET is realized by etching a Si/Si0.7Ge0.3 triple‐layer stacked structure in a replacement metal gate (RMG) module on a silicon‐on‐insulator (SOI) substrate. In addition, a self‐allied Ni0.9Pt0.1 silicide process and a low‐thermal‐budget (≤400°C) integration procedure were performed on the Ω‐channel SL FinFET. Test results demonstrate that the on‐state current (Ion) is increased by 5.5 times (from 78 to 429 µA/µm) and the off‐state current (Ioff) is reduced by 78.8% (from 5.2 × 10−3 to 1.1 × 10−3 µA/µm) when compared with the corresponding currents of traditional bulk SL FinFETs.
A decadal review of organizational identification: insights from bibliometric analysis and content analysis
Authors: S Divya , Christopher B. Prabu 
Published: November 2024

AbstractIn the face of global competition, it is imperative to conduct research on organizational identification in order to maximize employee commitment and organizational loyalty. Understanding how employees identify with their organizations can lead to improved productivity and retention rates. Organizational identification (OI) refers to an individual’s cognitive and affective connection to an organization. It exerts a significant impact on employee attitudes, behaviors, and job performance. It indicates an employee’s emotional bond, connectivity, and recognition with their company. This study aims to examine the impact of OI using bibliometric analysis and a literature review. Despite the topic’s wide use and coverage, the literature lacks quantitative data for bibliographic element analysis, making this study unique. This research fills that knowledge gap. We selected 227 research publications from the ABDC’s 2022 Quality Journals list, with A*, A, and B category journals for 2013 and 2022. The research methodologies employed encompassed trend analysis, scientific mapping, bibliographic coupling, co-occurrence analysis, and so on. Also, this study provides in-depth thematic analysis, content analysis, and a theoretical framework that contributes to the originality of the research. Our research findings offer bibliographic insights that enhance the study of literature. The study found that top journals are more interested in this topic. “Journal of Business Ethics” is very productive, whereas “Academy of Management Journal” holds the most influence. The study also highlights research gaps through quantitative and qualitative research. The study concluded by proposing further investigation and examining the consequences of its findings.
13 μm emission InAs/AlSb quantum cascade lasers with high slope efficiency and peak output power enabled by diagonal transition design
Authors: Sun Rui-Xuan , Liu Shu-Man , Song Zhe-Yu , Zhang Jin-Chuan , Zhuo Ning , Liu Jun-Qi , Wang Li-Jun , Zhai Shenqiang , Cheng Feng-Min , Liu Feng-Qi 
Published: November 2024

Long wavelength InAs/AlSb quantum cascade lasers (QCLs) emitting at 13 μm, based on a diagonal transition scheme design through band structure engineering, have been grown and fabricated. This band structure engineering focuses on enhancing transition efficiency and suppressing carrier leakage. Our 3-mm-long, 25-μm-wide InAs/AlSb QCL has achieved a slope efficiency of 210 mW/A and a maximum peak power of 515 mW, despite encountering a substantial waveguide loss of 27 cm−1 and a relatively high threshold of 4.8 kA/cm2, due to the elevated residual doping level. Our InAs/AlSb QCL devices have demonstrated record-breaking performance in terms of slope efficiency, maximum peak power, and injection efficiency. Cavity length analysis suggests that reducing the residual doping by half could pave the way for achieving continuous wave output power in the realm of hundreds of milliwatts at room temperature for our designed 13 μm QCLs.