bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predicting OCT biological marker localization from weak annotations
Authors: Tejero Javier Gamazo , Neila Pablo Márquez , Kurmann Thomas , Gallardo Mathias , Zinkernagel Martin , Wolf Sebastian , Sznitman Raphael 
Published: November 2023

AbstractRecent developments in deep learning have shown success in accurately predicting the location of biological markers in Optical Coherence Tomography (OCT) volumes of patients with Age-Related Macular Degeneration (AMD) and Diabetic Retinopathy (DR). We propose a method that automatically locates biological markers to the Early Treatment Diabetic Retinopathy Study (ETDRS) rings, only requiring B-scan-level presence annotations. We trained a neural network using 22,723 OCT B-Scans of 460 eyes (433 patients) with AMD and DR, annotated with slice-level labels for Intraretinal Fluid (IRF) and Subretinal Fluid (SRF). The neural network outputs were mapped into the corresponding ETDRS rings. We incorporated the class annotations and domain knowledge into a loss function to constrain the output with biologically plausible solutions. The method was tested on a set of OCT volumes with 322 eyes (189 patients) with Diabetic Macular Edema, with slice-level SRF and IRF presence annotations for the ETDRS rings. Our method accurately predicted the presence of IRF and SRF in each ETDRS ring, outperforming previous baselines even in the most challenging scenarios. Our model was also successfully applied to en-face marker segmentation and showed consistency within C-scans, despite not incorporating volume information in the training process. We achieved a correlation coefficient of 0.946 for the prediction of the IRF area.
Relationships between species richness and biomass production are context dependent in grasslands differing in land-use and seed addition
Authors: Andraczek Karl , Weigelt Alexandra , Cantuarias Cristóbal J. Bottero , Fischer Markus , Hinderling Judith , Prati Daniel , Rauwolf Esther M. N. , van der Plas Fons 
Published: November 2023

AbstractDespite evidence from grasslands experiments suggesting that plant species loss reduces biomass production, the strength of biodiversity-ecosystem functioning relationships in managed grasslands is still debated. High land-use intensity and reduced species pools are often suggested to make relationships between biodiversity and productivity less positive or even negative, but concrete evidence is still scarce. We investigated biodiversity-productivity relationships over two years in 150 managed grasslands in Germany. Specifically, we distinguished between relationships of biodiversity and biomass production in managed grasslands (1) varying in land-use intensity (e.g. of mowing, grazing and/or fertilization), (2) where land-use intensity is experimentally reduced, and (3) where additionally to land-use reductions, species pools are enlarged by seed addition. Among grasslands varying in land-use intensity, we found negative biodiversity-productivity relationships. Land-use reduction weakened these relationships, towards neutral, and sometimes, even positive relationships. Seed addition reduced species pool limitations, but this did not strengthen biodiversity-productivity relationships. Our findings indicate that land-use intensity is an important factor explaining the predominantly negative biodiversity-productivity relationships in managed grasslands. While we did not find that species pool limitations weakened biodiversity-productivity relationships, our results are based on a two-year-old experiment, possibly such effects are only visible in the long-term. Ultimately, advancing insights on biodiversity-ecosystem functioning relationships helps us to understand under which conditions agricultural production may benefit from promoting biodiversity.
Availability and type of energy regulate the global distribution of neritic carbonates
Authors: Bialik Or M. , Coletti Giovanni , Mariani Luca , Commissario Lucrezi , Desbiolles Fabien , Meroni Agostino Niyonkuru 
Published: November 2023

AbstractThe study of carbonate rocks is primarily reliant on microfacies analysis, which is strongly based on the comparison with modern allochem assemblages. Despite the existence of several models aimed at comprehensively explaining, on the bases of abiotic factors, the distribution of carbonate-producing organisms, a global, quantitative and standardized overview of the composition of shallow-water carbonate sediments is still missing. Aiming to address this gap in knowledge, the current study provides a global database of the available quantitative data on neritic carbonate sediments. This is paired with satellite-based observations for the abiotic parameters. The results highlight a non-linear, multi-variable, dependence in the distribution of allochems and suggest that depth, temperature, and trophic state are, to a certain extent, interchangeable. The implication of which is a level of non-uniqueness for paleoenvironmental interpretation. The resulting distribution is rather continuous and stretches along an energy gradient. A gradient extending from solar energy, with autotrophs and symbiont-bearing organisms to chemical energy with heterotrophs. Further, quantitative data from modern oceans are still required to disentangle the remaining elements of uncertainty.
Prognostic impact of HER2-low positivity in patients with HR-positive, HER2-negative, node-positive early breast cancer
Authors: Shikata Shohei , Murata Takeshi , Yoshida Masayuki , Hashiguchi Hiromi , Yoshii Yukiko , Ogawa Ayumi , Watase Chikashi , Shiino Sho , Sugino Hirokazu , Jimbo Kenjiro , Maeshima Akiko , Iwamoto Eriko , Takayama Shin , Suto Akihiko 
Published: November 2023

AbstractAdjuvant therapy for patients with hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-negative, node-positive, early breast cancer (EBC) remains challenging. The prognostic significance of HER2-low positivity in these patients is not fully understood. In our retrospective study, we analyzed 647 patients with HR-positive, HER2-negative, node-positive EBC, stratifying them into three cohorts based on axillary lymph node involvement, tumor size, and characteristics. Cohort 1 included patients with either ≥ 4 positive axillary lymph nodes or 1–3 positive nodes with histological grade 3 or tumor size ≥ 5 cm. Cohort 2 consisted of patients with 1–3 positive nodes, histological grade < 3, tumor size < 5 cm, and Ki-67 ≥ 20%. Cohort 3 comprised patients with 1–3 positive nodes, histological grade < 3, tumor size < 5 cm, and Ki-67 < 20%. We compared invasive disease-free survival (IDFS) and distant relapse-free survival (DRFS) between HER2-low (IHC1+ or IHC2+/FISH−) and HER2-zero (IHC0) groups in each cohort. In cohort 1, HER2-low patients exhibited significantly better 5-year IDFS (84.2% vs. 73.6%, p = 0.0213) and DRFS (88.2% vs. 79.8%, p = 0.0154). However, no significant differences were observed in cohorts 2 and 3. Our findings suggest HER2-low positivity as a prognostic factor in HR-positive, HER2-negative, and node-positive EBC.
The impact of subway car interior design on passenger evacuation and boarding/alighting efficiency
Authors: He Si-jun , Li Juan , Chen Wen-wen , Ding Tie-cheng , Zhi Jin-yi 
Published: November 2023

AbstractThis study investigated the impact of subway car interior design on passenger evacuation and boarding/alighting efficiency. The usability of pedestrian agent models was verified through real-life experiments. A seven-factor orthogonal simulation experiment was designed, using key geometric features of the subway car interior as variables. The results of the computer simulation showed that the impact of subway car interior design factors on evacuation and boarding/alighting time was not entirely consistent, with seat layout and door width being the most important factors affecting passenger movement. In the evacuation scenario, only the connectivity of the subway car has no effect on evacuation time, while in the boarding and alighting scenario, seat layout, car type, door width, and foyer width all significantly affect boarding and alighting time. Multivariate regression models were established to predict evacuation and boarding/alighting times through design features, which can explain 86.7% and 58.9% of the time variation, respectively. The research results were used to guide subway car design, and the proposed new scheme demonstrated better performance.
Novel laparoscopic renal denervation immediately reduces atrial fibrillation inducibility: a swine model study
Authors: Kwon Soonil , Choi Eue-Keun , Ahn Hyo-Jeong , Lee So-Ryoung , Oh Seil , Kim Si Hyun , Do Minh-Tung , Han Jang Hee , Jeong Chang Wook 
Published: November 2023

AbstractCatheter-based approaches may have inherent limitations in achieving effective renal denervation (RDN) and treatment of atrial fibrillation (AF). This study aimed to investigate the acute effects of novel laparoscopic RDN on modulating AF inducibility using a swine model. Four and five swine were randomly allocated to the sham and RDN groups, respectively. Each swine underwent measurement of the atrial effective refractory period (AERP) and AF induction tests using burst atrial pacing before and immediately after sham or RDN procedures with and without vagal nerve stimulation (VNS). A laparoscopic RDN procedure circumferentially ablated the renal nerves round the renal arteries using radiofrequency energy. There was no significant difference in the baseline AERP between the two groups (p > 0.05). Under VNS, AERP was significantly increased by 20 ms after laparoscopic RDN (95% CI = 0–30, p = 0.004). Compared to the sham group, the RDN group showed significantly reduced AF inducibility [OR (95% CI) = 0.32 (0.13–0.76) and 0.24 (0.11–0.57) with and without VNS, respectively]. After laparoscopic RDN, the duration of inducible AF episodes was significantly shortened from 28 (10–77) s to 7 (3–11) s (p < 0.001). The novel laparoscopic RDN can immediately reduce AF inducibility in a swine model.
Microbiome study of a coupled aquaponic system: unveiling the independency of bacterial communities and their beneficial influences among different compartments
Authors: Ruiz Alberto , Scicchitano Daniel , Palladino Giorgia , Nanetti Enrico , Candela Marco , Furones Dolors , Sanahuja Ignasi , Carbó Ricard , Gisbert Enric , Andree Karl B. 
Published: November 2023

AbstractTo understand the microbiome composition and interplay among bacterial communities in different compartments of a coupled freshwater aquaponics system growing flathead grey mullet (Mugil cephalus) and lettuces (Lactuca sativa), 16S rRNA gene amplicon sequencing of the V3–V4 region was analysed from each compartment (fish intestine, water from the sedimentation tank, bioballs from the biological filter, water and biofilm from the hydroponic unit, and lettuce roots). The bacterial communities of each sample group showed a stable diversity during all the trial, except for the fish gut microbiota, which displayed lower alpha diversity values. Regarding beta diversity, the structure of bacterial communities belonging to the biofilm adhering to the hydroponic tank walls, bioballs, and lettuce roots resembled each other (weighted and unweighted UniFrac distances), while bacteria from water samples also clustered together. However, both of the above-mentioned bacterial communities did not resemble those of fish gut. We found a low or almost null number of shared Amplicon Sequence Variants (ASVs) among sampled groups which indicated that each compartment worked as an independent microbiome. Regarding fish health and food safety, the microbiome profile did not reveal neither fish pathogens nor bacterial species potentially pathogenic for food health, highlighting the safety of this sustainable food production system.
The ambient air quality standards, green innovation, and urban air quality: evidence from China
Authors: Zhang Han , Zhang Dandan , Qian Wenfan , Xu Shaofeng 
Published: November 2023

AbstractAs China’s economy transitions, environmental issues have become a major concern. This study examines the impact of Ambient Air Quality Standards (AAQS) on urban air quality using panel data from 284 cities in China from 2006 to 2019. The study utilizes DID (Difference-in-Difference) models to analyze the regulatory effects of AAQS and its spatial spillover. Additionally, the serial multiple mediation models are constructed to investigate the role of green innovation. The findings reveal that the AAQS positively affects urban air quality, albeit with a notable “hysteresis effect.” Local implementation of AAQS worsens air quality in neighboring cities within a distance of 400 km, but beyond 400 km, the effect is reversed. Heterogeneity analysis shows that AAQS improves air quality in central cities, large-sized and medium-sized cities, cities with weak environmental governance, and resource-based cities. Mechanism tests suggest that AAQS may enhance urban air quality by promoting green innovation and optimizing industrial structure. Especially, either the energy-use effect or industrial-structure effect triggered by green innovation can contribute to the improvement of urban air quality.
Interannual impact of tropical southern Atlantic SST on surface air temperature over East Asia during boreal spring
Authors: Sheng Chen , Zhang Shaoyu , Liu Yimin , Wu Guoxiong , He Bian 
Published: November 2023

AbstractUsing reanalysis data and simulations, this study revealed a pronounced negative interannual relationship between tropical southern Atlantic (TSA) sea surface temperature (SST) and East Asian surface air temperature (SAT) during boreal spring (March–May). Results confirm that the March–May TSA–SST anomaly can be considered an independent tropical driver unrelated to El Niño–Southern Oscillation. A possible mechanism linking TSA–SST and East Asian spring SAT involves an atmospheric wave train, energy conversion, and potential vorticity (PV)–θ dynamics. The anomalous TSA–SST induces an anomalous Walker circulation, which initiates a wave train that extracts energy from a westerly jet and propagates toward East Asia. Subject to PV–θ dynamics, the East Asian PV anomaly embedded within this wave train leads to bowed isentropes and resultant notable anomalous East Asian SAT. In particular, the bootstrapping results suggest that TSA–SST anomaly can cause an approximately sevenfold increase in the occurrence probability of extreme East Asian spring SAT.
Anthropogenic forcing changes coastal tropical cyclone frequency
Authors: Wang Shuai , Murakami Hiroyuki , Cooke William F. 
Published: November 2023

AbstractIt remains a mystery if and how anthropogenic climate change has altered the global tropical cyclone (TC) activities, mainly due to short reliable TC observations and climate internal variabilities. Here we show with large-ensemble TC-permitting simulations that the observed increases in TC frequency since 1980 near the US Atlantic coast and Hawaii are likely related to the aerosol and greenhouse gases (GHG) effects, respectively. The observed decrease in the South China Sea after 1980 could be associated with GHG emissions alone, whereas the observed increase near Japan and Korea during this period would be related to the aerosol and GHG combined effects. These changes in coastal TC frequency are explained by the responses of large-scale environmental conditions to anthropogenic forcing.
Simultaneous emergence of active turbulence and odd viscosity in a colloidal chiral active system
Authors: Mecke Joscha , Gao Yongxiang , Ramírez Medina Carlos A. , Aarts Dirk G.A.L. , Gompper Gerhard , Ripoll Marisol 
Published: November 2023

AbstractActive fluids display collective phenomena such as active turbulence or odd viscosity, which refer to spontaneous complex and transverse flow. The simultaneous emergence of these seemingly separate phenomena is here reported in experiment for a chiral active fluid composed of a carpet of standing and spinning colloidal rods, and in simulations for synchronously rotating hard discs in a hydrodynamic explicit solvent. Experiments and simulations reveal that multi-scale eddies emerge, a hallmark of active turbulence, with a power-law decay of the kinetic-energy spectrum, a feature of self-similar dynamics. Moreover, the particles are dragged to the centre of the vortices, a telltale sign of odd viscosity. The weak compressibility of the system enables an explicit measurement of the odd viscosity in bulk via the relation between local vorticity and excess density. Our findings are relevant for the understanding of biological systems and for the design of microrobots with collective self-organized behavior.
Magnetic breakdown and spin-zero effect in quantum oscillations in kagome metal CsV3Sb5
Authors: Chen Kuan-Wen , Zheng Guoxin , Zhang Dechen , Chan Aaron , Zhu Yuan , Jenkins Kaila , Yu Fanghang , Shi Mengzhu , Ying Jianjun , Xiang Ziji , Chen Xianhui , Wang Ziqiang , Singleton John , Li Lu 
Published: November 2023

AbstractIn the recently discovered kagome metal CsV3Sb5, an intriguing proposal invoking a doped Chern insulator state suggests the presence of small Chern Fermi pockets hosting spontaneous orbital-currents and large orbital magnetic moments. While the net thermodynamic magnetization is nearly insensitive to these moments, due to their antiferromagnetic alignment, their presence can be revealed by the Zeeman effect, which shifts electron energies in magnetic fields with a proportionality given by the effective g−factor. Here, we determine the g-factor using the spin-zero effect in magnetic quantum oscillations. A large g-factor enhancement is visible only in magnetic breakdown orbits between conventional and concentrated Berry curvature Fermi pockets that host large orbital moments. Such Berry-curvature-generated large orbital moments are almost always concealed by other effects. In this system, however, magnetic breakdown orbits due to the proximity to a conventional Fermi-surface section allow them to be visibly manifested in magnetic quantum oscillations. Our results provide a remarkable example of the interplay between electronic correlations and more conventional electronic bands in quantum materials.
Economic optimization scheduling of multi‐microgrid based on improved genetic algorithm
Authors: He Yuling , Han Zhicheng , Sun Kai , Wu Xuewei , Du Xiaodong , Wang Haipeng , Lu Hongchang 
Published: November 2023

AbstractIn order to solve the collaborative optimization scheduling of multi‐microgrid under the high penetration rate of new energy, this paper considered the energy interaction between micro‐grids in multi‐microgrid and the relationship between new energy consumption and electricity cost, constructed a collaborative scheduling model considering both micro‐grid load and main grid wind and optical energy storage, proposed objective function based on economic cost, and improved Genetic Algorithm (GA). The elite thought and catastrophe thought are used to optimize the selection operation, and the particle swarm optimization algorithm is used to optimize the mutation operation. Furthermore, three scenarios were selected to verify the effectiveness of the proposed model and the improved GA. The results show that the proposed model can ensure the stable operation of the multi‐microgrid system with a high proportion of new energy access and reduce the operation cost. In addition. the improved algorithm solves the problems of easy to fall into local optimum and slow iteration speed, and has better performance in solving the model.
Foggy image restoration using deep sub‐pixel reconstruction network
Authors: Li Linge , Liu Xiaoqin , Shi Feiyu , Cai Yihua , Zhang Ying , Fang Ping , Mu Chao , Weng Ningquan 
Published: November 2023

AbstractLight undergoes attenuation due to scattering and refraction when propagating through aerosols. In foggy conditions, Aerosol particles in the troposphere exhibit high mobility introducing intricate non‐linear noise into images. Foggy image restoration represents an ill‐posed problem, where traditional physical models and image enhancement techniques often prove inadequate in delivering effective solutions. This paper introduces a novel deep sub‐pixel reconstruction algorithm for foggy image restoration, pioneering the application of sub‐pixel reconstruction modules to this domain. This model employs convolutional layers to extract low‐level features and dense‐connected layers for high‐level feature extraction. Furthermore, a specialized sub‐pixel reconstruction module tailored for the task of foggy image restoration is designed, with the purpose of reconstructing dehazed images from latent vectors. During training, a generative adversarial training framework is adopted, incorporating a purpose‐designed discriminator. Additionally, a fusion loss is implemented to facilitate model refinement. Quantitative and qualitative evaluation experiments conducted on synthetic and real‐world image datasets demonstrate the effectiveness of the proposed method in preserving finer details. The Structural Similarity Index (SSIM) is observed to improve by 2.5%, attesting to enhanced perceptual quality for grayscale foggy images.
Frequency control by BESS for smooth Island transition of a hydro‐powered microgrid
Authors: Sunjaq Ahmed , Chen Peiyuan , Bongiorno Massimo , Majumder Ritwik , Svensson Jan R. 
Published: November 2023

AbstractThis paper develops a frequency control strategy for a battery energy storage system to facilitate the smooth island transition of a hydro‐powered microgrid during unplanned grid outages. The proposed frequency control strategy uses a PI‐based droop controller, where the tuning of the controller accounts for the limitations in the power response of a hydro generator and the required frequency quality of the microgrid. The effectiveness of the frequency control strategy is verified in Simulink using phasor simulations, and it is further validated in laboratory tests. The results demonstrate that the proposed PI‐based droop and its tuning strategy fulfill the desired frequency quality requirement of the hydro‐powered microgrid without over‐dimensioning the size of the storage capacity as compared to the traditional proportional droop controller.
Seminars in Plastic Surgery: Pediatric Ear Anomalies and Reconstruction
Authors: Burns Heather R. , Dinis Jacob , Ding Yang , Buchanan Edward P. 
Published: November 2023

AbstractCongenital ear anomalies affect 15 to 20% of neonates and can be categorized as either auricular deformations or malformations. Deformations involve a fully developed, albeit abnormally shaped, chondrocutaneous framework, which makes them amenable to correction with ear molding within the first few months of life. Malformations involve hypoplastic or fully absent auricular structures that require augmentation with alloplastic and/or autogenous reconstruction. The goal of this article is to outline the various auricular deformities and malformations, followed by a description of the latest clinical management options, both nonsurgical and surgical, by auricular anomaly.