bluuebunny/crossref_metadata_2025_split huggingface dataset:
On a ~210 t Caribbean coastal boulder: The huracanolito seaward of the ruins of the Bucanero resort, Juragua, Oriente, Cuba
Authors: Pedoja Kevin , Dunán‐Avila Pedro , Jara‐Muñoz Julius , Authemayou Christine , Nuñez‐Labañino Arelis , de Gelder Gino , Chauveau Denovan , Peñalver Leandro , Frometa Pedro De Jesus Benitez , Martin‐Izquierdo Denyse , Abella Enrique Castellanos , Bertin Stephane , Rodríguez‐Valdés Ángel Raúl , Arango‐Arias Enrique Diego , Traoré Kalil , Regard Vincent 
Published: September 2023

AbstractCoastal boulder deposits (CBDs), named huracanolitos in Cuba, found along rocky shores, result from storms, tropical cyclones or tsunamis. Despite being important indicators for coastal hazard assessment, determining the mode of emplacement of CBDs (storm/hurricane or tsunami) is not easy. We present, for the first time in English, data about CBDs along the shores of the Cuban Archipelago. More specifically, we focused on a CBD, that is, to our knowledge, the largest one ever described on Cuba Island. Located on a low‐lying coral reef terrace on the SE shore of the island, the reefal limestone CBD is emplaced seaward of the ruins of the Bucanero resort. The resort was built in 1989, endured hurricanes Ivan (2004) and Dennis (2005) and, in October 2012, was destroyed by Hurricane Sandy. As observed on Corona and Landsat satellite images since 1962, the CBD was not moved, neither by hurricane Flora (1963) nor Sandy (2012), both associated with important storm surges and powerful swells. We determined the CBD volume with open‐source structure from motion photogrammetry as 82.6 m3. Then, we estimated from a sample its density as 2550 kg/m3. Finally we calculated its weight as 210.6 tons. We calculated the minimum flow velocity responsible for the emplacement of the CBD 33 ± 2 m inland—6.83 ± 0.54 m/s and 7.26 ± 0.51 m/s. Such flow velocities are compatible with those of both tsunamis and hurricanes. Because of the greater frequency of hurricanes than tsunamis in the area, we propose that a tropical cyclone generated the extreme surge and wave that emplaced the Bucanero CBD. Such CBDs demonstrate that on Cuba's south coast, we can expect marine flooding exceeding the flooding during the major hurricanes of recent decades.
Lactic acid fermentation of guava juice: Evaluation of nutritional and bioactive properties, enzyme (α‐amylase, α‐glucosidase, and angiotensin‐converting enzyme) inhibition abilities, and anti‐inflammatory activities
Authors: Hashemi Seyed Mohammad Bagher , Jafarpour Dornoush 
Published: September 2023

AbstractIn the present research, the impact of fermentation with two strains of Lactiplantibacillus plantarum subsp. plantarum (PTCC 1896 and PTCC 1745) on physicochemical properties, antioxidant bioactive compounds, and some health‐promoting features of guava juice was investigated. Results showed a significant (p < .05) decrease in pH, total soluble solids, glucose and fructose residues, vitamin C, and total carotenoids after 32 h of fermentation. Total phenolic content, free radical scavenging abilities, and ferrous reducing power were markedly enhanced during the fermentation process. Moreover, fermented juice represented good enzyme inhibition abilities (α‐amylase and α‐glucosidase) and anti‐inflammatory activities. The initial amount of angiotensin‐converting enzyme inhibitory activity (26.5%) increased to 72.1% and 66.4% in L. plantarum subsp. plantarum 1896 and L. plantarum subsp. plantarum 1745 treatments, respectively. These findings reveal that guava juice fermentation with the studied Lactobacillus strains can be a promising strategy to augment the functional properties of the fruit‐based beverage.
Chemoenzymatic Tagging of Tn/TF/STF Antigens in Living Systems
Authors: Yang Yi , Chen Mingkuan , Wu Mengyao , Hong Senlian , Gao Bing , Liu Yonghui , Yu Chenhua , Young Travis S. , Chapla Digantkumar Gopaldas , Yang Jeong‐Yeh , Cappiello John R. , Li Jie P. , Sharpless K. Barry , Moremen Kelley W. , Wu Peng 
Published: September 2023

AbstractTruncated mucin‐type O‐glycans, such as Tn‐associated antigens, are aberrantly expressed biomarkers of cancer, but remain challenging to target. Reactive antibodies to these antigens either lack high affinity or are prone to antigen escape. Here, we have developed a robust chemoenzymatic strategy for the global labeling of Tn‐associated antigens, i. e. Tn (GalNAcα‐O‐Ser/Thr), Thomsen‐Friedenreich (Galβ1‐3GalNAcα‐O‐Ser/Thr, TF) and STF (Neu5Acα2‐3Galβ1‐3GalNAcα‐O‐Ser/Thr, STF) antigens, in human whole blood with high efficiency and selectivity. This method relies on the use of the O‐glycan sialyltransferase ST6GalNAc1 to transfer a sialic acid‐functionalized adaptor to the GalNAc residue of these antigens. By tagging, the adaptor functionalized antigens can be easily targeted by customized strategies such as, but not limited to, chimeric antigen receptor T‐Cells (CAR‐T). We expect this tagging system to find broad applications in cancer diagnostics and targeting in combination with established strategies.
Bank competition and corporate risk: Firm‐level evidence from BRIC economies
Authors: Khan Habib Hussain 
Published: September 2023

AbstractThe study analyzes the potential influence of bank competition on corporate risk‐taking. The study also analyzes the interactive role of firms' dependence on external finance in this framework. We gauge corporate risk through idiosyncratic risk (market‐based measure) and earnings volatility (accounting‐based measure). Analysing firm‐level data for Brazil, Russia, India, and China (BRIC) from 1999 to 2018 through a ‘two‐step dynamic panel system GMM,’ we discover that more (less) competitive (concentrated) banking sectors assist in reducing corporate risk taking. The risk‐reduction effect is specifically stronger for financially dependent and small‐sized firms. The findings remain unchanged when different proxies of financial dependency, banking sector competitiveness, and risk are employed. Further analysis of the ‘transmission mechanism’—the channel by which the extent of banking sector competitiveness influences corporate risk—uncovers that the competitive banking sectors increase firms' access to finance and allow them to operate with lesser financing obstacles.
Biallelic missense variants in COG3 cause a congenital disorder of glycosylation with impairment of retrograde vesicular trafficking
Authors: Duan Ruizhi , Marafi Dana , Xia Zhi‐Jie , Ng Bobby G. , Maroofian Reza , Sumya Farhana Taher , Saad Ahmed K. , Du Haowei , Fatih Jawid M. , Hunter Jill V. , Elbendary Hasnaa M. , Baig Shahid M. , Abdullah Uzma , Ali Zafar , Efthymiou Stephanie , Murphy David , Mitani Tadahiro , Withers Marjorie A. , Jhangiani Shalini N. , Coban‐Akdemir Zeynep , Calame Daniel G. , Pehlivan Davut , Gibbs Richard A. , Posey Jennifer E. , Houlden Henry , Lupashin Vladimir V. , Zaki Maha S. , Freeze Hudson H. , Lupski James R. 
Published: September 2023

AbstractBiallelic variants in genes for seven out of eight subunits of the conserved oligomeric Golgi complex (COG) are known to cause recessive congenital disorders of glycosylation (CDG) with variable clinical manifestations. COG3 encodes a constituent subunit of the COG complex that has not been associated with disease traits in humans. Herein, we report two COG3 homozygous missense variants in four individuals from two unrelated consanguineous families that co‐segregated with COG3–CDG presentations. Clinical phenotypes of affected individuals include global developmental delay, severe intellectual disability, microcephaly, epilepsy, facial dysmorphism, and variable neurological findings. Biochemical analysis of serum transferrin from one family showed the loss of a single sialic acid. Western blotting on patient‐derived fibroblasts revealed reduced COG3 and COG4. Further experiments showed delayed retrograde vesicular recycling in patient cells. This report adds to the knowledge of the COG–CDG network by providing collective evidence for a COG3–CDG rare disease trait and implicating a likely pathology of the disorder as the perturbation of Golgi trafficking.
J‐shaped association between systemic immune‐inflammation index and periodontitis: Results from NHANES 2009–2014
Authors: Cao Ruoyan , Li Chen , Geng Fengxue , Pan Yaping 
Published: September 2023

AbstractBackgroundTo examine the relationship between the systemic immune‐inflammation index (SII) and periodontitis and to investigate possible effect modifiers.MethodsData used in the present cross‐sectional study are from the National Health and Nutrition Examination Survey (NHANES) 2009–2014 (N = 10,301). The SII was calculated using the following formula: (neutrophils count × platelet count)/lymphocytes count. The category of periodontitis was defined by the Centers for Disease Control and Prevention and American Academy of Periodontology (CDC/AAP) classification. We employed natural cubic spline and multivariable logistic regression analyses to evaluate the associations of the SII with periodontitis.ResultsThe associations between SII and periodontal health followed a J‐shape (p < 0.001). The risk of periodontitis tended to reduce with the increment of log2(SII) in participants with log2(SII) ≤ 8.66 (odds radio [OR] = 0.83; 95% CI: 0.69–0.999), especially among non‐Hispanic Whites (OR = 0.70; 95% CI: 0.52–0.95), and increased with the increment of log2(SII) in participants with log2(SII) > 8.66 (OR = 1.19; 95% CI: 1.02–1.38). A similar trend was also observed between the SII and the number of sites with probing pocket depth (PPD) ≥4 mm and clinical attachment loss (CAL) ≥ 3 or 5 mm. Furthermore, we found a significantly stronger correlation between lymphocytes and either neutrophils or platelets in individuals with log2(SII) > 8.66, as opposed to those with log2(SII) ≤ 8.66.ConclusionsThere is a J‐shaped association between SII and periodontitis in US adults, with an inflection point of log2(SII) at 8.66, which may provide potential adjunctive treatment strategies for periodontitis with different immune response states. Further prospective trials are still required to confirm our findings.
Curcumin Compensates GLP‐1 Deficiency via the Microbiota‐Bile Acids Axis and Modulation in Functional Crosstalk between TGR5 and FXR in ob/ob Mice
Authors: Tian Fengyuan , Chen Tianxi , Xu Wangda , Fan Yichang , Feng Xiaohong , Huang Qi , Chen Jie 
Published: September 2023

ScopeGlucagon‐like peptide‐1 (GLP‐1) deficiency occurs in obesity‐related pathologies due to defects in the intestinal lumen. And expanding the L‐cell population has emerged as a promising avenue to elevate GLP‐1 secretion to tackle metabolic disorders. Curcumin (Cur), the principal active component of spice turmeric, possesses well‐established anti‐obesity properties. To clarify, the study investigates whether Cur promotes GLP‐1 secretion built upon the L‐cell expansion.Methods and resultsCur (60 mg kg−1) is administered orally to male ob/ob mice for 8 weeks. Cur ameliorates obesity and impaires glucose tolerance through increasing energy expenditure in ob/ob mice, accompanied by the maintenance of crypt architecture and gut permeability. It refines the microbial structure and bile acid (BA) profiles, resulting in deoxycholic acid (DCA) accumulation by weakening the enrichment of Lactobacillus. Further analyses show radically different properties of Cur on the intestine function of TGR5 and FXR (i.e., activation and repression). Cur amplifies L‐cell number to promote GLP‐1 secretion in ob/ob mice.ConclusionsThe findings suggest that Cur may act as a natural TGR5 agonist and FXR antagonist to improve obesity by enhancing GLP‐1 release from L‐cell expansion via the gut microbiota‐BAs‐TGR5/FXR axis, and it may serve as a promising therapeutic agent to compensate obesity‐related metabolic disorders.
Nodes2STRNet for structural dense displacement recognition by deformable mesh model and motion representation
Authors: Zhao Jin , Li Hui , Xu Yang 
Published: September 2023

AbstractDisplacement is a critical indicator for mechanical systems and civil structures. Conventional vision‐based displacement recognition methods mainly focus on the sparse identification of limited measurement points, and the motion representation of an entire structure is very challenging. This study proposes a novel Nodes2STRNet for structural dense displacement recognition using a handful of structural control nodes based on a deformable structural three‐dimensional mesh model, which consists of control node estimation subnetwork (NodesEstimate) and pose parameter recognition subnetwork (Nodes2PoseNet). NodesEstimate calculates the dense optical flow field based on FlowNet 2.0 and generates structural control node coordinates. Nodes2PoseNet uses structural control node coordinates as input and regresses structural pose parameters by a multilayer perceptron. A self‐supervised learning strategy is designed with a mean square error loss and L2 regularization to train Nodes2PoseNet. The effectiveness and accuracy of dense displacement recognition and robustness to light condition variations are validated by seismic shaking table tests of a four‐story‐building model. Comparative studies with image‐segmentation‐based Structure‐PoseNet show that the proposed Nodes2STRNet can achieve higher accuracy and better robustness against light condition variations. In addition, NodesEstimate does not require retraining when faced with new scenarios, and Nodes2PoseNet has high self‐supervised training efficiency with only a few control nodes instead of fully supervised pixel‐level segmentation.
Multi‐objective precise phasor measurement locations to assess small‐signal stability using dingo optimizer
Authors: Logeshwari V. , Abirami M. , Subramanian S. , Manoharan Hariprasath 
Published: September 2023

AbstractSmall‐signal stability is an important task and key research in electrical engineering for networks. This research article focuses on the implementation of a multi‐objective approach for choosing an optimal location for Phasor Measurement Units (PMUs) to quantify a power system's small‐signal stability by maximizing the signal‐to‐noise ratio (SNR) in the system. The novelty of this research lies in the implementation of Dingo Optimization (DOX) technique along with the Prony Analysis (PA) approach for the assessment of small‐signal stability in standard grid networks. The voltage angle, amplitude and the range of frequencies are measured by the optimal placement of PMUs, which primarily focus on the multi‐signal PA. To achieve the objective of this research, DOX integrated with the multi‐signal PA approach is used to determine the ideal position for PMU placement by considering maximum redundancy and optimizing the signal to noise ratio to a maximum level. The effectiveness of the DOX strategy is established with improved accuracy and fewer disturbances by optimizing the electromechanical oscillations of the system. The implementation of the DOX approach for attaining the best value of the maximized SNR is obtained by analyzing a wide set of conditions, perturbations, and additive noise, which provides an accurate assessment of damping ratio (DR) and frequency (f) of electromechanical oscillations. Numerical results obtained from the standard IEEE test systems (14, 39, 57, 118, and 300 bus systems) are compared with the existing methods in the literature. The statistical indices demonstrate that under the highly limited optimization context selected, the intended optimizer functions satisfactorily.
LiDAR‐based object detection for agricultural robots
Authors: Stronzek‐Pfeifer David , Chemmadan Faseel M. , Patel Shruti , Büskens Christof 
Published: September 2023

AbstractLight detection and ranging (LiDAR) sensors have proven to be a valuable tool to gather spatial information about the environment and are a crucial component in perception of autonomous systems. In the agricultural domain, state‐of‐the‐art algorithms for detection, classification, and tracking often utilize a combination of LiDAR and camera by fusing both semantic and spatial information. This is in part due to the availability of fast algorithms specifically optimized to make use of the convenient 2D data structure of RGB images. Still, there are limitations relying on cameras in agriculture because they highly depend on favorable lighting conditions and generally lack explicit geometric information, whereas LiDAR is especially advantageous in that regard as well as regarding range. This makes LiDAR particularly valuable for perception applications such as self‐localization, mapping, or object detection. The unstructured nature of 3D LiDAR point clouds, however, coupled with their possibly large size and density, presents a significant hurdle in terms of real‐time capability for these kinds of tasks. Object detection on 3D LiDAR sensor data is therefore challenging and solutions in agriculture usually are tied to very narrow use cases or rigorous down sampling to ensure real‐time applicability. Here, we present an algorithm featuring 2.5D map representations to avoid the computational drawbacks and ensure real‐time capability. We utilize established algorithms to project the 3D LiDAR data into two distinct maps and then apply object detection algorithms on each of those maps individually and to subsequently combine the information into a joint estimate. From the information stored in the 2.5D map, axis‐aligned bounding boxes for each object are computed containing information about position and dimensions. We present a proof of concept and assess the real‐time capability for a domain‐specific use case.
High‐speed fatigue testing of high‐performance concretes and parallel frequency sweep characterization
Authors: Madadi Hamid , Steeb Holger 
Published: September 2023

AbstractCycling loading of brittle materials like ultra‐high‐performance concrete (UHPC), which is often used in marine and civil structures, results in unexpected failures. When a material is subjected to cyclic loading, its mechanical properties change due to the evolution of (micro‐)fractures often denoted as damage. To better understand the effective material's properties under such kind of fatigue load and to relate the material's properties to the specific time‐dependent loading characteristics, the mechanical response of the material shall be characterized at characteristic harmonic excitations.Therefore, cyclic loading experiments are conducted to determine how the evolution of microfractures, that is, fatigue, affects the material's effective mechanical properties and after how many cycles microfractures further evolve towards meso‐ and macrofractures leading finally to a critical number of cycles to material's failure. The problem with such cyclic fatigue tests is that they are potentially “expensive” to conduct as the number of loading cycles at failure can be extremely high. Moreover, it is not possible to observe and characterize further the evolution of (micro‐)fractures within the different damage phases of the cycling experiment. Further, it is challenging to characterize the material's small‐strain stiffness evolution.In this investigation, a combination of a (high‐amplitude) high‐frequency excitation and a high‐speed fatigue testing approach is used for the high cycle fatigue experiment along with a characterization approach of the material properties using a (low‐amplitude) dynamic mechanical analysis (DMA). The test setup applies harmonic excitations for high and low amplitudes using a high‐voltage piezoelectric actuators. Furthermore, the failure modes of the material will be examined.The excitation frequency f for the fatigue test is significantly higher than in classical low‐ and high‐cyclic fatigue approaches, that is, Hz, allowing to reduce the overall time of the experimental investigation time to failure. Further, the frequency‐dependent number of cycles to failure is studied. Similar to standard DMA, effective complex mechanical properties of the material in tangential space are obtained in frequencies between 0.01 and 1000 Hz; while the observed mechanical properties of these materials change with increasing frequency. In the case of materials' behavior, by increasing the frequency, Young's modulus increases and Poisson's ratio decreases. Experimental fatigue results will be presented for UHPC samples. Harmonic experimental data include (direct) strain measurements in axial and circumferential directions as well as forces in axial directions. In addition, the resulting complex Young's modulus and evolving damage‐like “history” of UHPC will be shown.
Clinical and transcriptomic characteristics of a novel SMARCD2 mutation that disrupts neutrophil maturation and function
Authors: Dotta Laura , Baresi Giulia , Tamassia Nicola , Calzetti Federica , Bianchetto‐Aguilera Francisco , Gasperini Sara , Gardiman Elisa , Chiarini Marco , Moratto Daniele , Martellosio Giovanni , Serana Federico , Micheletti Moira , Tregambe Daniela , Pintabona Vincenzo , Soncini Elena , Meini Antonella , Girelli Maria Federica , Beghin Alessandra , Lanfranchi Arnalda , Bugatti Mattia , Brugnoni Duilio , Soresina Annarosa , Plebani Alessandro , Cassatella Marco , Vermi William , Porta Fulvio , Badolato Raffaele 
Published: September 2023

AbstractWe report a novel case of SMARCD2 (SWI/SNF‐related, matrix‐associated, actin‐dependent regulator of chromatin, subfamily D, member 2) mutation successfully treated with hematopoietic stem cell transplantation. The female patient presented delayed cord separation, chronic diarrhea, skin abscesses, skeletal dysmorphisms, and neutropenia with specific granule deficiency. Analysis of the transcriptomic profile of peripheral blood sorted mature and immature SMARCD2 neutrophils showed defective maturation process that associated with altered expression of genes related to specific, azurophilic, and gelatinase granules, such as LTF, CRISP3, PTX3, and CHI3L1. These abnormalities account for the prevalence of immature neutrophils in the peripheral blood, impaired function, and deregulated inflammatory responses.
The competition between radical copolymerization and charge separation of cyclic ketene acetals and electron‐deficient olefins
Authors: Du Yuhui , Yang Yang , Deglmann Peter , Holcombe Thomas W. , Du Yifeng , Coughlin E. Bryan 
Published: September 2023

AbstractCyclic ketene acetals (CKAs) possess unique features in two aspects. On one hand, after the addition of a radical on the alkene, CKAs can undergo ring‐opening via radical rearrangement, enabling polyester preparation based on chain‐growth polymerization. On the other hand, the alkene connected with two electron‐donating oxygens in a strained form exhibit unique reactivities, resulting in complex reactions in the presence of electron deficient compounds. In this investigation, fundamental studies on CKA radical ring‐opening polymerization and charge‐mediated reactions were performed. Alternating copolymers of CKA and maleimides, or maleates, were prepared and characterized. Quantum chemistry modeling from the perspectives of reaction kinetics and thermodynamics enabled an in‐depth mechanistic study on the side reactions between CKA and maleic anhydride or itaconic anhydride, inspiring the techniques to minimize those side reactions in competition with radical copolymerization. After purifying the anhydride monomers with sublimation, the copolymerization with CKA successfully occurred. The anhydride containing polyester structures with an alternating sequence were confirmed with comprehensive characterizations. Facile post‐functionalization with an alcohol was performed, resulting in carboxylate containing polyesters.