bluuebunny/crossref_metadata_2025_split huggingface dataset:
Visual analysis of contaminated site studies in recent 30 years based on bibliometrics and knowledge graph
Authors: Gao Le , Xue Ziru , Gnanachandrasamy Gopalakrishnan 
Published: March 2024

AbstractThe problem of contaminated sites is a hot and difficult issue in global environmental sustainable development. Because the contaminated site carries a large number of harmful substances (heavy metal ions, organic polycyclic aromatic hydrocarbons, toxic gases, etc.), it brings great security risks to the environmental ecological security and people's health. Effective identification of the characteristics of contaminated sites and understanding of the research status and development trend of contaminated sites are of great significance to environmental sustainable development and environmental governance and restoration. Based on Web of Science database, this study systematically, quantitatively and visually analyzes the research status of contaminated sites by bibliometrics and knowledge graph technology. The results show that bibliometrics and knowledge graph are effective in information retrieval and visualization. It can display the information of different scales and different times in the study of contaminated sites, and find the distribution characteristics of popular keywords. The cluster cases of this study show that the problems of contaminated site research mainly focus on suspended particulate matter pollution, water pollution, heavy metal pollution, organic pollution, pollution reduction and bioremediation technology research. In the future, the hot issues of contaminated site remediation and environmental sustainable development will focus on strengthening the research of microbial remediation technology, nanomaterial technology, composite material adsorption technology and so on.
Knockout of OsHMA3 in an indica rice increases cadmium sensitivity and inhibits plant growth
Authors: Yan Huijing , Jiao Xiaozhen , Chen Yuye , Liang Huan , Liang Weihong , Liu Chaolei 
Published: March 2024

AbstractCadmium (Cd) is a heavy metal that poses harm to both plants and humans. OsHMA3, a member of the heavy metal ATPase (HMA) family, plays a crucial role in sequestering Cd into the vacuoles of roots, thereby limiting its accumulation in rice grains. However, the response of rice plants to Cd under complete loss-of-function of OsHMA3 remains unclear. In this study, we successfully generated OsHMA3 null mutants in an indica variety 93 − 11 using CRISPR/Cas9 technology. A Cd resistance experiment revealed that the Oshma3 mutants exhibited increased sensitivity to Cd compared to the wild-type at a tested concentration of 10 µM CdCl2. Furthermore, the seedlings of Oshma3 mutant lines displayed inhibited plant growth in the presence of 1 µM Cd, specifically suppressing aboveground growth. As expected, knockout lines of OsHMA3 showed lower Cd accumulation in roots but higher concentrations in shoots compared to wild-type plants, highlighting the role of OsHMA3 in root-to-shoot Cd translocation. We further performed RNA sequencing analysis on wild-type and Oshma3 plants under control and Cd treatment conditions and found that differentially expressed genes were mainly enriched in metal ion binding, integral component of the membranes, and biosynthesis pathways for secondary metabolites triggered by exposure to Cd. When grown in a paddy field, the Oshma3 mutants exhibited shorter plant height, lower seed setting rate, and higher Cd accumulation in grains compared to wild-type plants. Our results indicate that knockout of OsHMA3 in the 93 − 11 variety increases sensitivity to Cd and inhibits plant growth.
Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images
Authors: Chen Zhuo , Xiao Chuda , Liu Yang , Hassan Haseeb , Li Dan , Liu Jun , Li Haoyu , Xie Weiguo , Zhong Wen , Huang Bingding 
Published: March 2024

AbstractDetecting and accurately locating kidney stones, which are common urological conditions, can be challenging when using imaging examinations. Therefore, the primary objective of this research is to develop an ensemble model that integrates segmentation and registration techniques. This model aims to visualize the inner structure of the kidney and accurately identify any underlying kidney stones. To achieve this, three separate datasets, namely non-contrast computed tomography (CT) scans, corticomedullary CT scans, and CT excretory scans, are annotated to enhance the three-dimensional (3D) reconstruction of the kidney’s complex anatomy. Initially, the research focuses on utilizing segmentation models to identify and annotate specific classes within the annotated datasets. Subsequently, a registration algorithm is employed to align and combine the segmented results, resulting in a comprehensive 3D representation of the kidney’s anatomical structure. Three cutting-edge segmentation algorithms are employed and evaluated during the segmentation phase, with the most accurate segments being selected for the subsequent registration process. Ultimately, the registration process successfully aligns the kidneys across all three phases and combines the segmented labels, producing a detailed 3D visualization of the complete kidney structure. For kidney segmentation, Swin UNETR exhibited the highest Dice score of 95.21%; for stone segmentation, ResU-Net achieved the highest Dice score of 87.69%. Regarding Artery, Cortex, and Medulla segmentation, ResU-Net and 3D U-Net show comparable performance with similar Dice scores. Considering the Collecting System and Parenchyma, ResU-Net and 3D U-Net demonstrate similar performance in Dice scores. In conclusion, the proposed ensemble model shows potential in accurately visualizing the internal structure of the kidney and precisely localizing kidney stones. This advancement improves the diagnosis process and preoperative planning in percutaneous nephrolithotomy.
The Prospective Predictive Power of Parent-Reported Personality Traits and Facets in First-Onset Depression in Adolescent Girls
Authors: Zhong Yiming , Perlman Greg , Klein Daniel N. , Jin Jingwen , Kotov Roman 
Published: March 2024

AbstractCertain personality traits and facets are well-known risk factors that predict first-onset depression during adolescence. However, prior research predominantly relied on self-reported data, which has limitations as a source of personality information. Reports from close informants have the potential to increase the predictive power of personality on first-onsets of depression in adolescents. With easy access to adolescents’ behaviors across settings and time, parents may provide important additional information about their children’s personality. The same personality trait(s) and facet(s) rated by selves (mean age 14.4 years old) and biological parents at baseline were used to prospectively predict depression onsets among 442 adolescent girls during a 72-month follow-up. First, bivariate logistic regression was used to examine whether parent-reported personality measures predicted adolescent girls’ depression onsets; then multivariate logistic regression was used to test whether parent reports provided additional predictive power above and beyond self-reports of same trait or facet. Parent-reported personality traits and facets predicted adolescents’ depression onsets, similar to findings using self-reported data. After controlling for the corresponding self-report measures, parent-reported higher openness (at the trait level) and higher depressivity (at the facet-level) incrementally predicted first-onset of depression in the sample. Findings demonstrated additional variance contributed by parent-reported personality measures and validated a multi-informant approach in using personality to prospectively predict onsets of depression in adolescent girls.
Changes to butterfly phenology versus elevation range after four decades of warming in the mountains of central Spain
Authors: Goded Marta , Ursul Guim , Baz Arturo , Wilson Robert J. 
Published: March 2024

AbstractShifts over time (phenology) and space (latitude and elevation range) represent common ecological responses to climate change. However, the factors determining how changes in phenology and distribution interact, and the consequences for conservation, remain uncertain. Here, we assess how phenology responded to temperature over four decades of warming across the elevation ranges of 18 univoltine butterfly species in four mountain regions of Spain. Using count data from intermittent surveys in 166 sites between 1985 and 2022, we tested for (1) effects of monthly temperature and elevation on mean annual flight date; (2) changes to flight dates between 1985–2005 and 2017–2022; and (3) whether shifts in flight date were related to shifts in the average elevation occupied. Mean flight dates were later in years with cooler springs, and at higher sites, with a mean delay of nearly twenty days per km elevation increase. As conditions warmed over time, average flight date advanced for two thirds of species, especially those whose average elevation was stable over time. Species with stable flight dates showed greater indication of upward range shifts, although only one species showed a significant shift in average elevation. Implications for insect conservation: We show that spring temperatures influence mountain butterfly phenology, and that shifts in phenology and elevation range could compensate for each other in determining population exposure and responses to climate change. Monitoring these changes over time, including by employing evidence from historical surveys and scientific collections, can help to understand constraints on species adaptive capacity to climate change.
China’s safe and just space during 40 years of rapid urbanization and changing policies
Authors: Bian Hongyan , Gao Jie , Liu Yanxu , Yang Dewei , Wu Jianguo 
Published: March 2024

Abstract
Context
China’s high-speed economic development was accompanied by rapid urbanization for forty years, guided by a series of changing policies enacted by the central government. However, did China become more sustainable both economically and environmentally? Or more specifically, did it operate within or towards a safe and just space (SJS)? Although numerous relevant studies exist, these questions have not been adequately addressed, and a multi-scale landscape perspective is needed.

Objectives
The main objective of this study was to examine China’s urbanization trends, associated institutional changes, and their impacts on the nation’s sustainability trajectory during the past four decades. Specifically, we intended to analyze the impacts of urbanization and related policies on the spatial patterns, temporal trends, shortfalls, and complex nexus of the different dimensions of SJS across scales in China.

Methods
We apply the SJS framework, which integrates eight environmental ceilings and seven social justice foundations, to examine China’s urbanization, socioeconomic dynamics, and institutional changes, as well as their impacts on sustainability at multiple spatial scales. Segmented regression and correlation analysis were used to analyze the relationship of SJS with landscape urbanization and governance across China.

Results
Since the implementation of China’s Western Development Plan, China has faced increasing challenges of overshoots in CO2 emissions, phosphorus and nitrogen loading, ecological footprint, and material footprint on a per capita basis. However, our analysis showed that, by 2015, China met nearly all basic social justice needs. The pattern of SJS showed geospatial gradients of increasing social justice (except material footprint), multi-footprints, and CO2 from eastern to central, northeastern, and western regions, and from developed to developing provinces. The tradeoffs between social justice, environmental safety, and regional equality remain pronounced across heterogeneous landscapes with different levels of urbanization. The western region’s material footprint expanded enormously, but mainly for consumption in the eastern region of China.

Conclusions
China’s development in the past four decades is characterized by enormous economic growth, rapid urbanization, much improved living standards, highly fragmented landscapes, and increasing environmental problems. To promote sustainability, China should continue to implement the strategy of high-quality development and promote ecological civilization. Regional landscape-based approaches are needed to explicitly recognize geospatial heterogeneity and disparities, and better understand the urbanization-governance-landscape nexus for promoting a safer and more just China.
Abnormal upregulation of NUBP2 contributes to cancer progression in colorectal cancer
Authors: Lan Danfeng , Wang Junyu , Sun Guishun , Jiang Lixia , Chen Qiyun , Li Sha , Qu Haiyan , Wang Yibo , Wu Bian 
Published: March 2024

AbstractColorectal cancer (CRC), a digestive tract malignancy with high mortality and morbidity, lacks effective biomarkers for clinical prognosis due to its complex molecular pathogenesis. Nucleotide binding protein 2 (NUBP2) plays a vital role in the assembly of cytosolic Fe/S protein and has been implicated in cancer progression. In this study, we found that NUBP2 was highly expressed in CRC by TCGA database analysis. Subsequently, we verified the expression of NUBP2 in CRC tumor tissues and para-carcinoma tissues using IHC staining, and further investigated its association with clinicopathological parameters. In vitro cell experiments were conducted to assess the role of NUBP2 in CRC by evaluating cell proliferation, migration, and apoptosis upon NUBP2 dysregulation. Furthermore, we established a subcutaneous CRC model to evaluate the impact of NUBP2 on tumor growth in vivo. Additionally, we performed mechanistic exploration using a Human Phospho-Kinase Array-Membrane. Our results showed higher expression of NUBP2 in CRC tissues, which positively correlated with the pathological stage, indicating its involvement in tumor malignancy. Functional studies demonstrated that NUBP2 knockdown reduced cell proliferation, increased apoptosis, and impaired migration ability. Moreover, NUBP2 knockdown inhibited tumor growth in mice. We also observed significant changes in the phosphorylation level of GSK3β upon NUBP2 knockdown or overexpression. Additionally, treatment with CHIR-99021 HCl, an inhibitor of GSK3β, reversed the malignant phenotype induced by NUBP2 overexpression. Overall, this study elucidated the functional role of NUBP2 in CRC progression both in vitro and in vivo, providing insights into the molecular mechanisms underlying CRC and potential implications for targeted therapeutic strategies.
Exclusive soliton solutions arise in mono-mode optical fibre connecting to nonlinear Fokas system
Authors: Islam Md. Tarikul , Alsaud Huda , Rahman Tobibur , Inc Mustafa 
Published: March 2024

AbstractNonlinear partial evolution equations are mostly significant to illustrate critical phenomena in wave theory concerning real-world problems. The current study deals with the (2 + 1)-dimensional nonlinear Fokas model depicting the nonlinear pulse through the mono-mode optical fibers. Improved auxiliary equation and improved tanh schemes are executed on the considering governing system. Subsequently, a variety of optical soliton solutions with the nature of dynamic nonlinear waves are made accessible throughout the present exploration. Some of constructed solutions are figured out in 3D, 2D and contour sense for the visualization to the readers for making them understand of the characteristics of dynamic waves. The solitons are visible to be bright, dark, kink, anti-kink, singular kink, periodic, compacton, anti-compacton etc. in the current exploration. Involved free parameters are assigned with various numerical values and brought out the effects of nonlinear pulses in wave propagation along mono-mode optical fibers. The entire work might claim to be recorded in the literature as new aspects of research.
An Overview of Mechanisms of the Degradation of Promising ATF Cladding Materials During Oxidation at High Temperatures
Authors: Steinbrueck Martin , Grosse Mirco , Tang Chongchong , Stuckert Juri , Seifert Hans Juergen 
Published: March 2024

AbstractAccident tolerant fuel (ATF) cladding is a new type of nuclear fuel cladding designed to improve the safety and performance of nuclear reactors. In this paper, the kinetics and degradation mechanisms during high-temperature oxidation in steam of the three most promising ATF cladding materials, i.e., chromium-coated zirconium alloys, FeCrAl alloys, and silicon carbide-based composites, are described. Each system has its own degradation mechanisms leading to different maximum survival temperatures. After providing general information and data to understand the oxidation and degradation processes, illustrative examples obtained at the Karlsruhe Institute of Technology are given for each type of cladding. The maximum temperatures at which the barrier effect of the cladding can be maintained for a reasonable period of time during nuclear accident scenarios are 1200–1300 °C for Cr-coated Zr alloys, 1400 °C for FeCrAl alloys, and 1700 °C for SiC-based composite claddings.
Eucalyptus Oils Phytochemical Composition in Correlation with Their Newly Explored Anti-SARS-CoV-2 Potential: in Vitro and in Silico Approaches
Authors: El-Shiekh Riham A. , Okba Mona M. , Mandour Asmaa A. , Kutkat Omnia , Elshimy Rana , Nagaty Hany A. , Ashour Rehab M. 
Published: March 2024

AbstractSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the latest arisen contagious respiratory pathogen related to the global outbreak of atypical pneumonia pandemic (COVID-19). The essential oils (EOs) of Eucalyptus camaldulensis, E. ficifolia F. Muell., E. citriodora Hook, E. globulus Labill, E. sideroxylon Cunn. ex Woolls, and E. torquata Luehm. were investigated for its antiviral activity against SARS-CoV-2. The EOs phytochemical composition was determined using GC/MS analysis. Correlation with the explored antiviral activity was also studied using multi-variate data analysis and Pearson’s correlation. The antiviral MTT and cytopathic effect inhibition assays revealed very potent and promising anti SARS-CoV-2 potential for E. citriodora EO (IC50 = 0.00019 µg/mL and SI = 26.27). The multivariate analysis revealed α-pinene, α-terpinyl acetate, globulol, γ -terpinene, and pinocarvone were the main biomarkers for E. citriodora oil. Pearson’s correlation revealed that globulol is the top positively correlated compound in E. citriodora oil to its newly explored potent anti SARS-CoV-2 potential. A molecular simulation was performed on globulol via docking in the main active sites of both SARS-CoV-2 viral main protease (Mpro) and spike protein (S). In silico predictive ADMET study was also developed to investigate the pharmacokinetic profile and predict globulol toxicity. The obtained in silico, in vitro and Pearson’s correlation results were aligned showing promising SARS-CoV-2 inhibitory activity of E. citriodora and globulol. This study is a first record for E. citriodora EO as a novel lead exhibiting potent in vitro, and in silico anti SARS-CoV-2 potential and suggesting its component globulol as a promising candidate for further extensive in silico, in vitro and in vivo anti-COVID studies.
Moons and Jupiter Imaging Spectrometer (MAJIS) on Jupiter Icy Moons Explorer (JUICE)
Authors: Poulet F. , Piccioni G. , Langevin Y. , Dumesnil C. , Tommasi L. , Carlier V. , Filacchione G. , Amoroso M. , Arondel A. , D’Aversa E. , Barbis A. , Bini A. , Bolsée D. , Bousquet P. , Caprini C. , Carter J. , Dubois J.-P. , Condamin M. , Couturier S. , Dassas K. , Dexet M. , Fletcher L. , Grassi D. , Guerri I. , Haffoud P. , Larigauderie C. , Le Du M. , Mugnuolo R. , Pilato G. , Rossi M. , Stefani S. , Tosi F. , Vincendon M. , Zambelli M. , Arnold G. , Bibring J.-P. , Biondi D. , Boccaccini A. , Brunetto R. , Carapelle A. , Cisneros González M. , Hannou C. , Karatekin O. , Le Cle’ch J.-C. , Leyrat C. , Migliorini A. , Nathues A. , Rodriguez S. , Saggin B. , Sanchez-Lavega A. , Schmitt B. , Seignovert B. , Sordini R. , Stephan K. , Tobie G. , Zambon F. , Adriani A. , Altieri F. , Bockelée D. , Capaccioni F. , De Angelis S. , De Sanctis M.-C. , Drossart P. , Fouchet T. , Gérard J.-C. , Grodent D. , Ignatiev N. , Irwin P. , Ligier N. , Manaud N. , Mangold N. , Mura A. , Pilorget C. , Quirico E. , Renotte E. , Strazzulla G. , Turrini D. , Vandaele A.-C. , Carli C. , Ciarniello M. , Guerlet S. , Lellouch E. , Mancarella F. , Morbidelli A. , Le Mouélic S. , Raponi A. , Sindoni G. , Snels M. 
Published: March 2024

AbstractThe MAJIS (Moons And Jupiter Imaging Spectrometer) instrument on board the ESA JUICE (JUpiter ICy moon Explorer) mission is an imaging spectrometer operating in the visible and near-infrared spectral range from 0.50 to 5.55 μm in two spectral channels with a boundary at 2.3 μm and spectral samplings for the VISNIR and IR channels better than 4 nm/band and 7 nm/band, respectively. The IFOV is 150 μrad over a total of 400 pixels. As already amply demonstrated by the past and present operative planetary space missions, an imaging spectrometer of this type can span a wide range of scientific objectives, from the surface through the atmosphere and exosphere. MAJIS is then perfectly suitable for a comprehensive study of the icy satellites, with particular emphasis on Ganymede, the Jupiter atmosphere, including its aurorae and the spectral characterization of the whole Jupiter system, including the ring system, small inner moons, and targets of opportunity whenever feasible. The accurate measurement of radiance from the different targets, in some case particularly faint due to strong absorption features, requires a very sensitive cryogenic instrument operating in a severe radiation environment. In this respect MAJIS is the state-of-the-art imaging spectrometer devoted to these objectives in the outer Solar System and its passive cooling system without cryocoolers makes it potentially robust for a long-life mission as JUICE is. In this paper we report the scientific objectives, discuss the design of the instrument including its complex on-board pipeline, highlight the achieved performance, and address the observation plan with the relevant instrument modes.
SYCL in the edge: performance and energy evaluation for heterogeneous acceleration
Authors: Faqir-Rhazoui Youssef , García Carlos 
Published: March 2024

AbstractEdge computing is essential to handle increasing data volumes and processing capacities. It provides real-time and secure data processing near data sources, like smart devices, alleviating cloud computing energy use, and saving network bandwidth. Specialized accelerators, like GPUs and FPGAs, are vital for low-latency edge computing but the requirements to customized code for different hardware and vendors suppose important compatibility issues. This paper evaluates the potential of SYCL in addressing code portability issues encountered in edge computing. We employed the Polybench suite to compare various SYCL implementations, specifically DPC++ and AdaptiveCpp, with the native solution, CUDA. The disparity between SYCL implementations was negligible, at just 5%. Furthermore, we evaluated SYCL in the context of specific edge computing applications such as video processing using three different optical flow algorithms. The results revealed a slight performance gap of 3% when transitioning from CUDA to SYCL. Upon evaluating energy consumption, the observed difference ranged from $$\pm 10\%$$

±
10
%

, depending on the application utilized. These gaps are the price one may need to pay when achieving the ability to successfully run the same code on two distinct edge boards. These findings underscore SYCL’s capacity to increase productivity in terms of development costs and facilitate IoT deployment without being locked into a particular platform or manufacturer.