bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigational safety at risk: The impact of sand Mining in a key waterway in China
Authors: Zhang Ming 
Published: May 2023

AbstractThe Caowei River is an important part of the planned high‐grade waterway network in China. Since 2016, the deterioration in the navigation flow conditions of the Xiangshuikan reach has made traveling upstream through the waterway more difficult for ships and raised emerging navigation safety concerns. To better understand the causes of the deterioration in the waterway navigation conditions after 2016, we examined the topographic and hydrological changes of the Caowei River and investigated the navigable flow conditions of the Xiangshuikan reach. The results showed that the Caowei River has generally been scoured since 2006 due to sediment depletion and that the dramatic riverbed downcutting (15.47 m in the deepest cut of thalweg elevation) in the Xiangshuikan reach was likely caused by illegal sand mining which extracted the fine sand underlying the clay overburden in this segment and led to the formation of two extremely large steep headcuts. It was found that a large water surface gradient, rapid flow velocity, and disordered flow pattern occurred near the larger upstream headcut during the low‐water‐level period, which made ship navigation more challenging. In 2019, the measured maximum local water surface gradient and maximum flow velocity reached 3.97‰ and 3.28 m/s, respectively. Additionally, the increase in the low flow at Caowei station and the decrease in the low water level at Lujiao station further aggravated the navigation conditions of the Xiangshuikan reach. These findings reveal the considerable complexity of the response of the channel navigation flow conditions to the topographic and hydrological changes in the lake area, providing valuable information for channel regulation and river management in the Dongting Lake area and other rivers.
Cytotoxic Performance of Synthesized Mn‐Doped ZnO Nanorods in MCF‐7 Cells
Authors: Hamidian Khadijeh , Sarani Mina , Behjati Soheil , Mahjoub Mahdi , Zafarnia Niloofar 
Published: May 2023

AbstractThis report presents the outcomes of exerting extracted Salvadora persica for synthesizing ZnO nanoparticles (ZnO−NP) and Mn‐doped ZnO nanorods (Mn−ZnO−NRs) through a viable and economical “green” route. The products characteristics were configured by the means of X‐ray diffraction (XRD), field emission scanning electron microscopy (FESEM), energy‐dispersive X‐ray (EDX) spectroscopy, UV‐visible spectroscopy (UV‐Vis) and Raman assessing technics. As the constructional evaluations approved the progress of well crystalline nano, the EDX analyses approved the doping of Mn, which interestingly succeeded in significantly altering the spherical framework of ZnO into a rod‐looking structure. The following steps involved the employment of MTT trial to assay the cytotoxic impacts of our sample towards breast (MCF‐7: Michigan Cancer Foundation‐7) cancer cell line, resulting in confirming the superior outcomes of Mn−ZnO−NRs than the solitary case of ZnO. The boosted functionality of the doped product may be attributable to the appearance of Mn into the lattice of ZnO. In addition, the evolved morphology of ZnO, obtained through the doping process, could have caused substantial developments in the cytotoxic operation of doped sample as well.
Research Progress on Photocatalytic CO2 Reduction Based on Perovskite Oxides
Authors: Wang Qing‐shan , Yuan Yi‐chao , Li Chu‐fan , Zhang Zhen‐rui , Xia Cheng , Pan Wei‐guo , Guo Rui‐tang 
Published: May 2023

AbstractPhotocatalytic CO2 reduction to valuable fuels is a promising way to alleviate anthropogenic CO2 emissions and energy crises. Perovskite oxides have attracted widespread attention as photocatalysts for CO2 reduction by virtue of their high catalytic activity, compositional flexibility, bandgap adjustability, and good stability. In this review, the basic theory of photocatalysis and the mechanism of CO2 reduction over perovskite oxide are first introduced. Then, perovskite oxides' structures, properties, and preparations are presented. In detail, the research progress on perovskite oxides for photocatalytic CO2 reduction is discussed from five aspects: as a photocatalyst in its own right, metal cation doping at A and B sites of perovskite oxides, anion doping at O sites of perovskite oxides and oxygen vacancies, loading cocatalyst on perovskite oxides, and constructing heterojunction with other semiconductors. Finally, the development prospects of perovskite oxides for photocatalytic CO2 reduction are put forward. This article should serve as a useful guide for creating perovskite oxide‐based photocatalysts that are more effective and reasonable.
FeN Coordination Induced Ultralong Lifetime of Sodium‐Ion Battery with the Cycle Number Exceeding 65 000
Authors: Feng Wang , Wen Xia , Peng Yanan , Wang Yuzhu , Song Luying , Li Xiaohui , Du Ruofan , Yang Junbo , Jiang Yulin , Li Hui , Sun Hang , Huang Ling , He Jun , Shi Jianping 
Published: May 2023

AbstractSodium‐ion batteries (SIBs) have received increasing attention because of their appealing cell voltages and cost‐effective features. However, the atom aggregation and electrode volume variation inevitably deteriorate the sodium storage kinetics. Here a new strategy is proposed to boost the lifetime of SIB by synthesizing sea urchin‐like FeSe2/nitrogen‐doped carbon (FeSe2/NC) composites. The robust FeN coordination hinders the Fe atom aggregation and accommodates the volume expansion, while the unique biomorphic morphology and high conductivity of FeSe2/NC enhance the intercalation/deintercalation kinetics and shorten the ion/electron diffusion length. As expected, FeSe2/NC electrodes deliver excellent half (387.6 mAh g−1 at 20.0 A g−1 after 56 000 cycles) and full (203.5 mAh g−1 at 1.0 A g−1 after 1200 cycles) cell performances. Impressively, an ultralong lifetime of SIB composed of FeSe2/Fe3Se4/NC anode is uncovered with the cycle number exceeding 65 000. The sodium storage mechanism is clarified with the aid of density function theory calculations and in situ characterizations. This work hereby provides a new paradigm for enhancing the lifetime of SIB by constructing a unique coordination environment between active material and framework.
Attack Resilient True Random Number Generators Using Ferroelectric‐Enhanced Stochasticity in 2D Transistor
Authors: Chien Yu‐Chieh , Xiang Heng , Wang Jianze , Shi Yufei , Fong Xuanyao , Ang Kah‐Wee 
Published: May 2023

AbstractBy harnessing the physically unclonable properties, true random number generators (TRNGs) offer significant promises to alleviate security concerns by generating random bitstreams that are cryptographically secured. However, fundamental challenges remain as conventional hardware often requires complex circuitry design, showing a predictable pattern that is susceptible to machine learning attacks. Here, a low‐power self‐corrected TRNG is presented by exploiting the stochastic ferroelectric switching and charge trapping in molybdenum disulfide (MoS2) ferroelectric field‐effect transistors (Fe‐FET) based on hafnium oxide complex. The proposed TRNG exhibits enhanced stochastic variability with near‐ideal entropy of ≈1.0, Hamming distance of ≈50%, independent autocorrelation function, and reliable endurance cycle against temperature variations. Furthermore, its unpredictable feature is systematically examined by machine learning attacks, namely the predictive regression model and the long‐short‐term‐memory (LSTM) approach, where nondeterministic predictions can be concluded. Moreover, the generated cryptographic keys from the circuitry successfully pass the National Institute of Standards and Technology (NIST) 800–20 statistical test suite. The potential of integrating ferroelectric and 2D materials is highlighted for advanced data encryption, offering a novel alternative to generate truly random numbers.
Discriminatory Gate‐Opening Effect in a Flexible Metal–Organic Framework for Inverse CO2/C2H2 Separation
Authors: Wang Weize , Wang Gang‐Ding , Zhang Bin , Li Xiu‐Yuan , Hou Lei , Yang Qing‐Yuan , Liu Bo 
Published: May 2023

AbstractConsidering the significant application of acetylene (C2H2) in the manufacturing and petrochemical industries, the selective capture of impurity carbon dioxide (CO2) is a crucial task and an enduring challenge. Here, a flexible metal–organic framework (Zn‐DPNA) accompanied by a conformation change of the Me2NH2+ ions in the framework is reported. The solvate‐free framework provides a stepped adsorption isotherm and large hysteresis for C2H2, but type‐I adsorption for CO2. Owing to their uptakes difference before gate‐opening pressure, Zn‐DPNA demonstrated favorable inverse CO2/C2H2 separation. According to molecular simulation, the higher adsorption enthalpy of CO2 (43.1 kJ mol−1) is due to strong electrostatic interactions with Me2NH2+ ions, which lock the hydrogen‐bond network and narrow pores. Furthermore, the density contours and electrostatic potential verifies the middle of the cage in the large pore favors C2H2 and repels CO2, leading to the expansion of the narrow pore and further diffusion of C2H2. These results provide a new strategy that optimizes the desired dynamic behavior for one‐step purification of C2H2.
Towards a pattern‐based model transformation framework
Authors: Rouhi Alireza , Lano Kevin 
Published: May 2023

AbstractModel‐Driven Development (MDD) is one of the important approaches to develop complex software systems. This approach tries to model a system in high‐abstraction level. Then through applying multiple transformations step by step, the model abstraction level is reduced and finally yields to executable code. As a result, Model transformation (MT) plays a pivotal role on the realization of MDD goals. Due to the increasing complexity of software systems, MTs naturally become more complex. Hence, qualitative technical issues may be overlooked or forgotten in these model transformations. To alleviate these issues in terms of technical debts/code smells in MTs, we can apply MT patterns. A main drawback on applying patterns is that most of them are cataloged in informal language. Additionally, construction of a conceptual framework to help MT designers through applying patterns requires a precise specification of the underlying MT patterns. With a formal basis, this paper is trying to realize the proposed framework. Hence, some of the existing well‐known MT patterns are formalized. Then based on the identified common technical debts/code smells in MTs, a designer can be directed to apply the appropriate patterns and resolve the detected problems iteratively. For the applicability and functionality of the proposed framework, several examples of problematic model transformations in terms of quality flaws were considered and resolved using the appropriate patterns. We consider the Epsilon Transformation Language (ETL) cases of model transformations in this paper, and other similar MT languages could be treated using the same measures and patterns as well.
Neuroglobin protects against cerebral ischemia/reperfusion injury in rats by suppressing mitochondrial dysfunction and endoplasmic reticulum stress‐mediated neuronal apoptosis through synaptotagmin‐1
Authors: Zhang Lihong , Li Di , Yin Lin , Zhang Ce , Qu Hong , Xu Jianping 
Published: May 2023

AbstractCerebral ischemia/reperfusion (I/R) injury remains a grievous health threat, and herein effective therapy is urgently needed. This study explored the protection of neuroglobin (Ngb) in rats with cerebral I/R injury. The focal cerebral I/R rat models were established by middle cerebral artery occlusion (MCAO) and neuronal injury models were established by oxygen–glucose deprivation/reoxygenation (OGD/R) treatment. The brain injury of rats was assessed. Levels of Ngb, Bcl‐2, Bax, endoplasmic reticulum stress (ERS)‐related markers, and Syt1 were measured by immunofluorescence staining and Western blotting. The cytotoxicity in neurons was assessed by lactate dehydrogenase (LDH) release assay. Levels of intracellular Ca2+ and mitochondrial function‐related indicators were determined. The binding between Ngb and Syt1 was detected by co‐immunoprecipitation. Ngb was upregulated in cerebral I/R rats and its overexpression alleviated brain injury. In OGD/R‐induced neurons, Ngb overexpression decreased LDH level and neuronal apoptosis, decreased Ca2+ content, and mitigated mitochondrial dysfunction and ERS‐related apoptosis. However, Ngb silencing imposed the opposite effects. Importantly, Ngb could bind to Syt1. Syt1 knockdown partially counteracted the alleviation of Ngb on OGD/R‐induced injury in neurons and cerebral I/R injury in rats. Briefly, Ngb extenuated cerebral I/R injury by repressing mitochondrial dysfunction and endoplasmic reticulum stress‐mediated neuronal apoptosis through Syt1.
Utilization of a publicly available diversity panel in genomic prediction of Fusarium head blight resistance traits in wheat
Authors: Winn Zachary J. , Lyerly Jeanette H. , Brown‐Guedira Gina , Murphy Joseph P. , Mason Richard Esten 
Published: May 2023

AbstractFusarium head blight (FHB) is an economically and environmentally concerning disease of wheat (Triticum aestivum L). A two‐pronged approach of marker‐assisted selection coupled with genomic selection has been suggested when breeding for FHB resistance. A historical dataset comprised of entries in the Southern Uniform Winter Wheat Scab Nursery (SUWWSN) from 2011 to 2021 was partitioned and used in genomic prediction. Two traits were curated from 2011 to 2021 in the SUWWSN: percent Fusarium damaged kernels (FDK) and deoxynivalenol (DON) content. Heritability was estimated for each trait‐by‐environment combination. A consistent set of check lines was drawn from each year in the SUWWSN, and k‐means clustering was performed across environments to assign environments into clusters. Two clusters were identified as FDK and three for DON. Cross‐validation on SUWWSN data from 2011 to 2019 indicated no outperforming training population in comparison to the combined dataset. Forward validation for FDK on the SUWWSN 2020 and 2021 data indicated a predictive accuracy and , respectively. Forward validation for DON indicated a predictive accuracy of and , respectively. Forward validation using environments in cluster one for FDK indicated a predictive accuracy of and , respectively. Forward validation using environments in cluster one for DON indicated a predictive accuracy of and , respectively. These results indicated that selecting environments based on check performance may produce higher forward prediction accuracies. This work may be used as a model for utilizing public resources for genomic prediction of FHB resistance traits across public wheat breeding programs.
Stability of a linear thermoelastic Bresse system with second sound under new conditions on the coefficients
Authors: Afilal Mounir , Guesmia Aissa , Soufyane Abdelaziz 
Published: May 2023

AbstractIn this paper, we discuss the stability of a linear one‐dimensional thermoelastic Bresse system, where the coupling is given through the first component of the Bresse model with the heat conduction of second sound type. We state the well‐posedness and show the polynomial stability of the system, where the decay rate depends on the smoothness of initial data. Moreover, we prove the non exponential and the exponential decay depending on new conditions on the parameters of the system. The proof is based on a combination of the energy method and the frequency domain approach.
Sustainability in a Digital Context
Authors: Fischer Manuel , Foord Daniel , Frecè Jan , Hillebrand Kirsten , Kissling-Näf Ingrid , Meili Rahel , Peskova Marie , Risi David , Schmidpeter René , Stucki Tobias 
Published: May 2023

AbstractWhile the three dimensions of sustainability, the three approaches to a sustainable system, and the three levels of sustainability in a corporate environment all remain relevant and valid, additionally another three dimensions have to be considered when discussing the sustainability of digital artifacts. In this context, the term digital artifacts covers everything man-made and digital, therefore data and software, alike. The dimension “Sustainability of ICT” is focusing on the use of material resources and energy to develop, build, maintain, upgrade, re-furbish and finally dispose of all the hardware necessary to access any digital artifact and make it useful. The dimension “Sustainability through ICT”, on the other hand, concentrates on the sustainability-related effects digital artifacts can have. Frequently cited examples are the increased efficiency of combustion engines through electronically controlled injection, more fuel-efficient software-based route planning for delivery services or IT-generated flight profiles, saving fuel and time. The chapter then continues to elaborate the ten criteria of sustainable digital artifacts, and concludes by discussing the indirect effects digital artifacts might have.
Integrated negative geometries in ABJM
Authors: Henn Johannes M. , Lagares Martín , Zhang Shun-Qing 
Published: May 2023

Abstract
We study, in the context of the three-dimensional $$ \mathcal{N} $$
N
= 6 Chern-Simons-matter (ABJM) theory, the infrared-finite functions that result from performing L − 1 loop integrations over the L-loop integrand of the logarithm of the four-particle scattering amplitude. Our starting point are the integrands obtained from the recently proposed all-loop projected amplituhedron for the ABJM theory. Organizing them in terms of negative geometries ensures that no divergences occur upon integration if at least one loop variable is left unintegrated. We explicitly perform the integrations up to L = 3, finding both parity-even and -odd terms. Moreover, we discuss a prescription to compute the cusp anomalous dimension Γcusp of ABJM in terms of the integrated negative geometries, and we use it to reproduce the first non-trivial order of Γcusp. Finally, we show that the leading singularities that characterize the integrated results are conformally invariant.
One-loop effective action and emergent gravity on quantum spaces in the IKKT matrix model
Authors: Steinacker Harold C. 
Published: May 2023

Abstract
A detailed derivation of 3 + 1 dimensional induced or emergent gravity in the IKKT matrix model at one loop is given, as announced in [1]. The mechanism requires a brane configuration with structure $$ {\mathcal{M}}^{3,1}\times \mathcal{K}\subset {\mathbb{R}}^{9,1} $$

M

3
,
1

×
K
⊂

ℝ

9
,
1

, where $$ {\mathcal{M}}^{3,1} $$

M

3
,
1

is the noncommutative space-time brane, and $$ \mathcal{K} $$
K
are compact fuzzy extra dimensions embedded in target space. The 3+1-dimensional Einstein-Hilbert action then arises in the one loop effective action of the maximally supersymmetric IIB or IKKT matrix model, with effective Newton constant determined by the Kaluza-Klein scale of $$ \mathcal{K} $$
K
. At weak coupling, all physical modes are confined to the brane, leading to 3 + 1-dimensional low-energy physics. The Einstein-Hilbert action can be interpreted as interaction of $$ \mathcal{K} $$
K
with the space-time brane via IIB supergravity. The vacuum energy does not act as cosmological constant, but stabilizes the brane structure at one loop.
Two-loop master integrals for a planar and a non-planar topology relevant for single top production
Authors: Syrrakos Nikolaos 
Published: May 2023

Abstract
We provide analytic results for two-loop four-point master integrals with one massive propagator and one massive leg relevant to single top production. Canonical bases of master integrals are constructed and the Simplified Differential Equations approach is employed for their analytic solution. The necessary boundary terms are computed in closed form in the dimensional regulator, allowing us to obtain analytic results in terms of multiple polylogarithms of arbitrary transcendental weight. We provide explicit solutions of all two-loop master integrals up to transcendental weight six and discuss their numerical evaluation for Euclidean and physical phase-space points.
The C-terminal 32-mer fragment of hemoglobin alpha is an amyloidogenic peptide with antimicrobial properties
Authors: Olari Lia-Raluca , Bauer Richard , Gil Miró Marta , Vogel Verena , Cortez Rayas Laura , Groß Rüdiger , Gilg Andrea , Klevesath Raphael , Rodríguez Alfonso Armando A. , Kaygisiz Kübra , Rupp Ulrich , Pant Pradeep , Mieres-Pérez Joel , Steppe Lena , Schäffer Ramona , Rauch-Wirth Lena , Conzelmann Carina , Müller Janis A. , Zech Fabian , Gerbl Fabian , Bleher Jana , Preising Nico , Ständker Ludger , Wiese Sebastian , Thal Dietmar R. , Haupt Christian , Jonker Hendrik R. A. , Wagner Manfred , Sanchez-Garcia Elsa , Weil Tanja , Stenger Steffen , Fändrich Marcus , von Einem Jens , Read Clarissa , Walther Paul , Kirchhoff Frank , Spellerberg Barbara , Münch Jan 
Published: May 2023

AbstractAntimicrobial peptides (AMPs) are major components of the innate immune defense. Accumulating evidence suggests that the antibacterial activity of many AMPs is dependent on the formation of amyloid-like fibrils. To identify novel fibril forming AMPs, we generated a spleen-derived peptide library and screened it for the presence of amyloidogenic peptides. This approach led to the identification of a C-terminal 32-mer fragment of alpha-hemoglobin, termed HBA(111–142). The non-fibrillar peptide has membranolytic activity against various bacterial species, while the HBA(111–142) fibrils aggregated bacteria to promote their phagocytotic clearance. Further, HBA(111–142) fibrils selectively inhibited measles and herpes viruses (HSV-1, HSV-2, HCMV), but not SARS-CoV-2, ZIKV and IAV. HBA(111–142) is released from its precursor by ubiquitous aspartic proteases under acidic conditions characteristic at sites of infection and inflammation. Thus, HBA(111–142) is an amyloidogenic AMP that may specifically be generated from a highly abundant precursor during bacterial or viral infection and may play an important role in innate antimicrobial immune responses.
Radiomics Signatures of Carotid Plaque on Computed Tomography Angiography
Authors: Shi Jinglong , Sun Yu , Hou Jie , Li Xiaogang , Fan Jitao , Zhang Libo , Zhang Rongrong , You Hongrui , Wang Zhenguo , Zhang Anxiaonan , Zhang Jianhua , Jin Qiuyue , Zhao Lianlian , Yang Benqiang 
Published: May 2023

Abstract
Purpose
To develop and validate a combined model incorporating conventional clinical and imaging characteristics and radiomics signatures based on head and neck computed tomography angiography (CTA) to assess plaque vulnerability.

Methods
We retrospectively analyzed 167 patients with carotid atherosclerosis who underwent head and neck CTA and brain magnetic resonance imaging (MRI) within 1 month. Clinical risk factors and conventional plaque characteristics were evaluated, and radiomic features were extracted from the carotid plaques. The conventional, radiomics and combined models were developed using fivefold cross-validation. Model performance was evaluated using receiver operating characteristic (ROC), calibration, and decision curve analyses.

Results
Patients were divided into symptomatic (n = 70) and asymptomatic (n = 97) groups based on MRI results. Homocysteine (odds ratio, OR 1.057; 95% confidence interval, CI 1.001–1.116), plaque ulceration (OR 6.106; 95% CI 1.933–19.287), and carotid rim sign (OR 3.285; 95% CI 1.203–8.969) were independently associated with symptomatic status and were used to construct the conventional model and s radiomic features were retained to establish the radiomics model. Radiomics scores incorporated with conventional characteristics were used to establish the combined model. The area under the ROC curve (AUC) of the combined model was 0.832, which outperformed the conventional (AUC = 0.767) and radiomics (AUC = 0.797) models. Calibration and decision curves analysis showed that the combined model was clinically useful.

Conclusion
Radiomics signatures of carotid plaque on CTA can well predict plaque vulnerability, which may provide additional value to identify high-risk patients and improve outcomes.