bluuebunny/crossref_metadata_2025_split huggingface dataset:
Cross‐modal person re‐identification based on deep attention hash learning
Authors: Zhang Rui , Cao Yihao , Zhang Weiquan , Cai Xingjuan 
Published: August 2023

SummaryPerson re‐identification based on text description is a critical task in modern security systems. However, existing methods primarily focus on performance and overlook the crucial aspect of retrieval efficiency. In this article, we propose a novel two‐stage multimodal re‐discovery algorithm called DCH‐ReID, which leverages attention hashing. First, we introduce a chunked mapping hash learning method that effectively mitigates confusion between hash codes. Second, we propose a hash learning approach based on the channel attention mechanism, assigning higher binary bit weights to important body parts. Finally, to balance retrieval performance and time efficiency, we present a two‐stage retrieval scheme. Through extensive experiments on the CUHK‐PEDES benchmark dataset, we validate that our proposed DCH‐ReID algorithm exhibits superior efficiency and higher accuracy compared to current mainstream text‐based pedestrian re‐identification algorithms.
A new parallel tabu search algorithm for the optimization of the maximum vertex weight clique problem
Authors: Dülger Özcan , Dökeroğlu Tansel 
Published: August 2023

SummaryThe efficiency of metaheuristic algorithms depends significantly on the number of fitness value evaluations performed on candidate solutions. In addition to various intelligent techniques used to obtain better results, parallelization of calculations can substantially improve the solutions in cases where the problem is NP‐hard and requires many evaluations. This study proposes a new parallel tabu search method for solving the Maximum Vertex Weight Clique Problem (MVWCP) on the Non‐Uniform Memory Access (NUMA) architectures using the OpenMP parallel programming paradigm. Achieving scalability in the NUMA architectures presents significant challenges due to the high complexity of their memory systems, which can lead to performance loss. However, our proposed Tabu‐NUMA algorithm provides up to speed‐up with 64 cores for ten basic problem instances in DIMACS‐W and BHOSLIB‐W benchmarks. And it improves the performance of the serial Multi Neighborhood Tabu Search (MN/TS) algorithm for 38 problem instances in DIMACS‐W and BHOSLIB‐W benchmarks. We further evaluate our algorithm on larger datasets with thousands of edges and vertices from Network Data Repository benchmark problem instances, and we report significant improvements in terms of speed up. Our results confirm that the Tabu‐NUMA algorithm is among the best recent algorithms for solving MVWCP on the NUMA architectures.
A Novel Quasi‐Planar Two‐dimensional Carbon Sulfide with Negative Poisson's Ratio and Dirac Fermions
Authors: Nulakani Naga Venkateswara Rao , Ali Mohamad Akbar , Subramanian Venkatesan 
Published: August 2023

AbstractIn the present study, a novel and unconventional two‐dimensional (2D) material with Dirac electronic features has been designed using sulflower with the help of density functional theory methods and first principles calculations. This 2D material comprises of hetero atoms (C, S) and belongs to the tetragonal lattice with P4/nmm space group. Scrutiny of the results show that the 2D nanosheet exhibits a nanoporous wave‐like geometrical structure. Quantum molecular dynamics simulations and phonon mode analysis emphasize the dynamical and thermal stability. The novel 2D nanosheet is an auxetic material with an anisotropy in the in‐plane mechanical properties. Both composition and geometrical features are completely different from the conditions necessary for the formation of Dirac cones in graphene. However, the presence of semi‐metallic nature, linear band dispersion relation, massive fermions and massless Dirac fermions are observed in the novel 2D nanosheet. The massless Dirac fermions exhibit highly isotropic Fermi velocities (vf=0.68×106 m/s) along all crystallographic directions. The zero‐band gap semi metallic features of the novel 2D nanosheet are perturbative to the electric field and external strain.
Binuclear Biphenyl Organogold(III) Complexes: Synthesis, Photophysical and Theoretical Investigation, and Anticancer Activity
Authors: Giuso Valerio , Yang Jeannine , Forté Jérémy , Dossmann Héloïse , Daniel Chantal , Gourlaouen Christophe , Mauro Matteo , Bertrand Benoît 
Published: August 2023

AbstractA series of four binuclear complexes of general formula [(C^C)Au(Cl)(L^L)(Cl)Au(C^C)], where C^C is 4,4’‐diterbutylbiphenyl and L^L is either a bridging diphosphine or 4,4’‐bipyridine, are synthetized with 52 to 72 % yield and structurally characterized by X‐ray diffraction. The use of the chelating 1,2‐diphenylphosphinoethane ligand in a 1 : 2 (P^P):Au stoichiometry leads to the near quantitative formation of a gold double‐complex salt of general formula [(C^C)Au(P^P)][(C^C^)AuCl2]. The compounds display long‐lived yellow‐green phosphorescence with λem in the range of 525 to 585 nm in the solid state with photoluminescence quantum yields (PLQY) up to 10 %. These AuIII complexes are tested for their antiproliferative activity against lung adenocarcinoma cells A549 and results show that compounds 2 and 5 are the most promising candidates. The digold salt 5 shows anticancer activity between 66 and 200 nM on the tested cancer cell lines, whereas derivative 2 displays concentration values required to reduce by 50 % the cell viability (IC50) between 7 and 11 μM. Reactivity studies of compound 5 reveal that the [(C^C)Au(P^P)]+ cation is stable in the presence of relevant biomolecules including glutathione suggesting a structural mechanism of action.
Host‐Guest Complexes of Pillar[5]arene as Components for Supramolecular Light‐Harvesting Systems with Tunable Fluorescence
Authors: Li Xiuxiu , Wu Zhiying , Wang Qi , Li Zheng‐Yi , Sun Xiao‐Qiang , Xiao Tangxin 
Published: August 2023

AbstractA guest molecule containing a short alkyl spacer between the tetraphenylethylene group and the methylpyridinium group was designed and synthesized. After complexation with a water‐soluble pillar[5]arene, the resulting host‐guest complex can further self‐assemble into fluorescence‐emitting nanoparticles in water. By loading a commercially available dye Rhodamine 6G into the nanoparticles, an efficient artificial light‐harvesting system with high donor/acceptor ratios (>400/1) was successfully constructed. The obtained systems show considerable antenna effects with values of more than 10 times. The system also exhibits tunable fluorescence emission behavior and can be used as a fluorescent ink for information encryption.
Development of the VGF Crystal Growth Recipe: Intelligent Solutions of Ill‐Posed Inverse Problems using Images and Numerical Data
Authors: Dropka Natasha , Holena Martin , Thieme Cornelia , Chou Ta‐Shun 
Published: August 2023

AbstractDevelopment of the Vertical Growth Freeze crystal growth process is a typical example of solving the ill‐posed inverse problem, which violates one or more of Hadamard's well‐posedness criteria of solution existence, uniqueness, and stability. In this study, different data‐driven approaches are used to solve inverse problems: Reduced Order Modelling method of Proper Orthogonal Decomposition with Inverse Distance weighting (ROM POD InvD), an approximation method of Kriging and Artificial Neural Networks (ANN) employing images, combination of images and numerical data and solely numerical data, respectively. The ≈200 training data are generated by Computational Fluid Dynamics (CFD) simulations of the forward problem. Numerical input data are related to the temperatures and coordinates in 10 characteristic monitoring points in the melt and crystal, while the image input data are related to the interface shape and position. Using the random mean squared error as a criterion, the Kriging method based on images and numerical data and the ANN method based on numerical data are able to capture the system behavior more accurately, in contrast to the ROM POD InvD method, which is based solely on images.
OTUB1 inhibits breast cancer by non‐canonically stabilizing CCN6
Authors: Zhao Ying , Ruan Jing , Li Zhongding , Su Xian , Chen Kangmin , Lin Yimin , Cai Yuepiao , Wang Peng , Liu Baohua , Schlüter Dirk , Liang Guang , Wang Xu 
Published: August 2023

AbstractBackgroundCCN6 is a matricellular protein that critically regulates the tumourigenesis and progression of breast cancer. Although the tumour‐suppressive function of CCN6 has been extensively studied, molecular mechanisms regulating protein levels of CCN6 remain largely unclear. This study aims to investigate the regulation of CCN6 by ubiquitination and deubiquitinating enzymes (DUBs) in breast cancer.MethodsA screening assay was performed to identify OTUB1 as the DUB for CCN6. Various biochemical methods were applied to elucidate the molecular mechanism of OTUB1 in the regulation of CCN6. The role of OTUB1–CCN6 interaction in breast cancer was studied with cell experiments and the allograft model. The correlation of OTUB1 and CCN6 in human breast cancer was determined by immunohistochemistry and Western blot.ResultsWe found that CCN6 protein levels were controlled by the ubiquitin–proteasome system. The K48 ubiquitination and degradation of CCN6 was inhibited by OTUB1, which directly interacted with CCN6 through its linker domain. Furthermore, OTUB1 inhibited the ubiquitination of CCN6 in a non‐canonical manner. Deletion of OTUB1, concomitant with reduced CCN6 abundance, increased the migration, proliferation and viability of breast cancer cells. Supplementation of CCN6 abolished the effect of OTUB1 deletion on breast cancer. Importantly, OTUB1 expression was downregulated in human breast cancer and positively correlated with CCN6 levels.ConclusionThis study identified OTUB1 as a novel regulator of CCN6 in breast cancer.
Wideband reflecting frequency‐selective surface polarizer for X‐band applications
Authors: Suganya Anandan , Natarajan Rajesh 
Published: August 2023

SummaryThis paper proposed the design of a broadband linear‐to‐circular reflecting polarizer for X‐band applications. The polarizer is designed with three‐arm dipole‐shaped unit cells with a full ground plane to get wideband performance. The incident linear polarized wave is converted to a right‐handed circularly polarized wave upon reflection from the polarizer. The footprint of the unit cell is 9 × 9 mm, which is printed on a FR‐4 substrate. Fabricated prototype is measured for its performances like polarization conversion ratio (PCR), fractional bandwidth, and aperture efficiency. The PCR is about 97%, and the fractional bandwidth is 64% with the aperture efficiency of more than 80%. Polarizer performance is analyzed in transverse electric and transverse magnetic modes, and they are stable up to 40° of various incident angles. The polarizer exhibits the 3‐dB axial ratio bandwidth from 8 to 12 GHz, which is suitable for satellite applications.
Body‐related self‐conscious emotions, self‐compassion, and dietary restraint in Canadian undergraduate university students: A multilevel mediation and moderation analysis
Authors: Bourke Matthew , Pila Eva 
Published: August 2023

AbstractObjectiveSelf‐compassion has an inverse association with dietary restraint however, the mechanisms linking self‐compassion and dietary restraint are not clear. This study aimed to determine to what extent self‐compassion was inversely concurrently related to dietary restraint, indirectly through body‐related self‐conscious emotions, and to what extent trait self‐compassion moderated the concurrent within‐person association between body‐related self‐conscious emotions and dietary restraint.MethodData was collected from 224 Canadian university students who reported on trait self‐compassion at baseline and body‐related shame, guilt, envy, and embarrassment, and dietary restraint biweekly between November 2020 and August 2021.ResultsResults from a 2‐1‐1 multilevel mediation model showed that trait self‐compassion was indirectly concurrently related to dietary restraint through body‐related shame, guilt, envy, and embarrassment. Results from the moderation model showed that there was a significant positive concurrent within‐person association between body‐related shame, envy, and embarrassment, but not guilt, with dietary restraint. These relationships were not moderated by trait self‐compassion.DiscussionThis study adds to our understanding of the concurrent association between body‐related self‐conscious emotions and dietary restraint, and the mechanisms through which self‐compassion is related to dietary restraint. Given body‐related self‐conscious emotions were related to dietary restraint at both the within‐person and between‐person level, both compassion‐focused interventions that aim to improve general levels of body‐related self‐conscious emotions and interventions that aim to overcome spikes in these emotions compared with one's usual level are warranted.Public Significance StatementNegative body‐related self‐conscious emotions were related to higher levels of dietary restraint both across individuals and within individuals over time; and may play a mechanistic role in linking self‐compassion with dietary restraint. Interventions aimed at reducing negative body‐related self‐conscious emotions are warranted in the prevention of eating disorder psychopathology.
Specific alien plant species predominantly deliver nectar sugar and pollen but are not preferentially visited by wild pollinating insects in suburban riparian ecosystems
Authors: Egawa Chika , Yuta Teru , Koyama Asuka 
Published: August 2023

AbstractThe invasion of alien plants has been rapidly proceeding worldwide due to urbanisation. This might be beneficial to wild pollinating insects, since some alien plant species have large flowers and/or long flowering periods, which can increase nectar sugar and pollen availability. To determine the relative contribution of alien plants to floral resource supply and whether resource‐rich alien plants, if any, serve as an important food source of pollinating insects, we performed year‐round field observations in suburban riverbanks. We quantified the per‐unit‐area availability of nectar sugar and pollen delivered by alien and native flowering species and counted wild flower visitors (bees and wasps, hoverflies and butterflies) per plant species. The available nectar sugar and pollen per area were predominantly delivered by a few specific alien species, and the relative contribution of other species to floral resource provision was low throughout the period that wild flower visitors were observed. Nonetheless, the resource‐rich alien plants were not visited by as many insects as expected based on their contribution to resource provision. Rather, on a yearly basis, these plants received equal or even fewer visits than other flowering species, including resource‐poor natives. We show that despite their great contribution to the gross floral resource supply, resource‐rich alien plants do not serve as a principal food source for wild pollinating insects, and other plants, especially natives, are still needed to satisfy insect demand. For the conservation of pollinating insects in suburban ecosystems, maintaining floral resource diversity would be more beneficial than having an increase in gross floral resources by allowing the dominance of specific alien plants.
Data‐driven control by using data‐driven prediction and LASSO for FIR typed inverse controller
Authors: Suzuki Motoya , Kaneko Osamu 
Published: August 2023

AbstractIn this paper, we propose data‐driven control for the case of that the structure of the ideal controller is unknown. In this case, it is natural to implement FIR typed controller. Here, we utilize FRIT for the case of FIR typed inverse controller. In general, FIR might have unnecessarily large number of its taps. To prevent it, we also utilize LASSO regression so as to realize FIR typed inverse controller in as less numbers of the tap as possible. Moreover, we also utilize data‐driven prediction to determine hyper parameters required in LASSO regression. The validity of our proposed method is verified by using experiments.
Role of serum cytokines in the prediction of heart failure in patients with coronary artery disease
Authors: Hou Qingzhen , Sun Zhuhua , Zhao Liqin , Liu Ye , Zhang Junfang , Huang Jing , Luo Yifeng , Xiao Yan , Hu Zhaoting , Shen Anna 
Published: August 2023

AbstractAimsCoronary artery disease (CAD) is the most common cause of heart failure (HF). This study aimed to identify cytokine biomarkers for predicting HF in patients with CAD.Methods and resultsTwelve patients with CAD without HF (CAD‐non HF), 12 patients with CAD complicated with HF (CAD‐HF), and 12 healthy controls were enrolled for Human Cytokine Antibody Array, which were used as the training dataset. Then, differentially expressed cytokines among the different groups were identified, and crucial characteristic proteins related to CAD‐HF were screened using a combination of the least absolute shrinkage and selection operator, recursive feature elimination, and random forest methods. A support vector machine (SVM) diagnostic model was constructed based on crucial characteristic proteins, followed by receiver operating characteristic curve analysis. Finally, two validation datasets, GSE20681 and GSE59867, were downloaded to verify the diagnostic performance of the SVM model and expression of crucial proteins, as well as enzyme‐linked immunosorbent assay was also used to verify the levels of crucial proteins in blood samples. In total, 12 differentially expressed proteins were overlapped in the three comparison groups, and then four optimal characteristic proteins were identified, including VEGFR2, FLRG, IL‐23, and FGF‐21. After that, the area under the receiver operating characteristic curve of the constructed SVM classification model for the training dataset was 0.944. The accuracy of the SVM classification model was validated using the GSE20681 and GSE59867 datasets, with area under the receiver operating characteristic curve values of 0.773 and 0.745, respectively. The expression trends of the four crucial proteins in the training dataset were consistent with those in the validation dataset and those determined by enzyme‐linked immunosorbent assay.ConclusionsThe combination of VEGFR2, FLRG, IL‐23, and FGF‐21 can be used as a candidate biomarker for the prediction and prevention of HF in patients with CAD.
Investigation and evaluation of a 3D‐printed optical modified cultivation vessel for improved scattered light measurement of biotechnologically relevant organisms
Authors: Rehfeld Johanna S. , Kuhnke Louis M. , Ude Christian , John Gernot T. , Beutel Sascha 
Published: August 2023

AbstractIn the field of bioprocess development miniaturization, parallelization and flexibility play a key role reducing costs and time. To precisely meet these requirements, additive manufacturing (3D‐printing) is an ideal technology. 3D‐printing enables rapid prototyping and cost‐effective fabrication of individually designed devices with complex geometries on demand. For successful bioprocess development, monitoring of process‐relevant parameters, such as pH, dissolved oxygen (DO), and biomass, is crucial. Online monitoring is preferred as offline sampling is time‐consuming and leads to loss of information. In this study, 3D‐printed cultivation vessels with optical prisms are evaluated for the use in upstream processes of different industrially relevant microorganisms and cell lines. It was shown, that the 3D‐printed optically modified well (OMW) is of benefit for a wide range of biotechnologically relevant microorganisms and even for mammalian suspension cells. Evaluation tests with Escherichia coli, Bacillus subtilis, Saccharomyces cerevisiae, and Chinese hamster ovary (CHO) cells were performed, providing highly reproducible results. Growth behavior of OMW cultures was comparable to behavior of shake flask (SF) cultivations and the signal to noise ratio in online biomass measurement was shown to be reduced up to 95.8% by using the OMW. Especially the cultivation phases with low turbidity respective optical densities below 1.0 rel.AU could be monitored accurately for the first time. Furthermore, it was demonstrated that the 3D‐printed optics are transferable to different well geometries and sizes, enabling efficient biomass monitoring for individual requirements with tailor‐made 3D‐printed cultivation vessels in small scale.
Channel reconfiguration for intelligent reflecting surface‐aided vehicular networks
Authors: Wang Ruyan , Wang Kang , Cui Yaping , He Peng , Wu Dapeng 
Published: August 2023

AbstractIntelligent reflecting surface (IRS) has been recognized as one of the core technologies in the sixth generation (6G). Nevertheless, the character of channel state rapid change is a major problem in vehicular networks due to the dynamic vehicle movement and electromagnetic wave random scattering. In order to address the above problem, a strategy that joint phase shifts and channel alignment (PS‐CA) is proposed to reduce Doppler shift impact and improve communication performance in IRS‐aided vehicular networks. In this article, the channels can be divided into two types: the one type is the cascaded channel from the base station (BS) to the IRS and then to the vehicle; the other one is the direct channel from the BS to the vehicle. Thus, the proposed PS‐CA strategy can be divided into two stages. In the first stage, the cascaded channel fast fading state is reduced by designing IRS reflection phase shifts. In the second stage, considering the phase difference between the direct channel and the cascaded channel, we designed a correction function to align the direct channel with the cascaded channel. Then, we combined the designed correction function with IRS reflection phase shifts to reduce the impact of the direct channel fast fading state on overall performance. Simulation results demonstrate that compared to the RPS strategy, the PS‐CA strategy achieves higher spectral efficiency by 31.5.
Efficient resolution of incompressible Navier–Stokes equations using a robust high‐order pseudo‐spectral approach
Authors: Drissi Mohamed , Mesmoudi Said , Mansouri Mohamed 
Published: August 2023

AbstractAn accurate numerical tool is presented in this work to investigate the stationary incompressible Navier–Stokes equations. The proposed approach is based on a pseudo‐spectral method for discretizing the differential equations and the asymptotic numerical method to convert nonlinear systems into linear algebraic equations. The coupling of the spectral method with the asymptotic numerical method is considered as an efficient algorithm to solve any nonlinear differential equations. Their efficiency and robustness are examined here on the flow fluid in different canal with different geometries. These computational efficiency and performance have been analysed via several numerical and benchmark examples of incompressible fluid flow in lid‐driven cavity and vortex shedding over L‐Shaped cavity and fluid flow around a square obstacle. The validation of the proposed approach is made by comparison between the obtained results and those calculated using a finite element method or Ansys commercial code. This validation asserts that the presented numerical tool can be promise for solving fluid flow problems with high accuracy.