bluuebunny/crossref_metadata_2025_split huggingface dataset:
Application of CytoMatrix for the diagnosis of melanoma metastases on FNA cytology samples: Performance of a novel cell block method
Authors: Montella Marco , Cozzolino Immacolata , Zito Marino Federica , Clery Eduardo , Carraturo Emma , Brancaccio Gabriella , Argenziano Giuseppe , Troiani Teresa , Savarese Giovanni , Berretta Massimiliano , Franco Renato , Ronchi Andrea 
Published: May 2023

AbstractBackgroundThe management of cytological samples can significantly impact diagnostic interpretation. Cell blocks (CB) are a popular method due to their ability to provide additional morphological information and be used for immunocytochemistry and molecular tests. Recently, a new CB technique called the synthetic matrix CytoMatrix (CM) has been introduced, which can gather and hold cytological material within its three‐dimensional structure.MethodsIn this study, 40 cytological samples from patients with melanoma metastases were analyzed to evaluate the diagnostic performance of CM compared to another CB method used in the laboratory. The researchers assessed the morphological adequacy of the two techniques, as well as their performance in immunocytochemical analysis and molecular.ResultsThis study showed that CM was quicker and equally effective compared to the other method, with the laboratory technician having less of an impact on the CM approach across all passages. Additionally, all CMs were adequate, whereas the other method was adequate in 90% of cases. Immunocytochemistry confirmed the diagnosis of melanoma metastases in all cases, and all 40 CMs and 36 of the other method were adequate for fluorescence in situ hybridization analysis.ConclusionCM is a low‐time‐consuming technology that is unaffected by technicians during all setup phases, making it simpler to standardize the procedure. Moreover, a low loss of diagnostic cells ensures greater benefits for morphological analysis, immunocytochemistry, and molecular testing. Overall, the study highlights the potential of CM as a valuable technique for managing cytological samples.
Asymmetric Growth of Monolayer Graphene on Cu Foil by Space‐Confined CVD
Authors: Song Qiyang , Yi Xin , Zhang Youwei , Chen Qiao , Wang Shun 
Published: May 2023

AbstractChemical vapor deposition (CVD) is the most efficient method for growing graphene while its performance heavily relies on the growth environment. In this work, we examine the growth of continuous monolayer graphene films using CVD in an asymmetric environment by placing the Cu foil substrate on a specially designed semicircular quartz boat with grooves. We find that the asymmetry plays a key role in the growth of graphene and the quality of graphene on the bottom surface of Cu foil is higher than that on the top surface. This difference is attributed to different oxygen and carbon source concentration on the two surfaces of Cu foil, which leads to different nucleation density, grain size, and growth rate. COMSOL simulation confirms this hypothesis and reveals that the lower gas flow velocity on the bottom is responsible for the higher oxygen content and less carbon source supply, promoting higher‐quality graphene. Based on this asymmetric mechanism, we achieve stable and efficient batch production of high‐quality graphene using a special substrate support. Our method has guiding significance for the stable and batch growth of high‐quality graphene or other two dimensional (2D) materials in spatial design strategies.
Cross‐ethnic comparison of the effect of garment color on male perception of female attractiveness
Authors: Luo Zhenhua , Shamey Renzo 
Published: May 2023

AbstractThe present study investigated whether the clothing color of female stimuli and the perceived attractiveness judgments of Caucasian and Chinese male observers for own‐ and other‐ethnicity are correlated. Results indicate that Caucasian observers evaluated stimuli in white and black as the most attractive while giving low ratings for stimuli in orange, yellow, or lime. Results for the Chinese observers were found to depend on the stimulus type, whereby the Caucasian stimulus received significantly lower ratings when dressed in lime, and the Chinese stimulus was rated as the least attractive when in lime, orange, green, or cyan. White was found to have a positive effect on Chinese observers' ratings for both stimuli. A comparison of the general versus the facial attractiveness lends some evidence that red enhanced Caucasian observers' attraction to the Chinese stimulus while findings fail to support the general red‐effect. We propose a potential mechanism underlying the color‐attraction associations.
An adaptive key selection method for the multilevel index model for effective service management in the cloud
Authors: Gu Jiayan , Wu Yan , Anjum Ashiq , Liu Lu , Panneerselvam John , Lu Yao 
Published: May 2023

SUMMARYThe growing number of services processed and stored in the cloud has led to difficulties in managing and discovering the required services efficiently. Multilevel index model is an efficient method to manage and retrieve services in service repositories. When adding a new service to a multilevel index model, a key needs to be selected for the service, but existing key selection methods cannot adapt to the situation that hot services change over time. To address this problem, this article proposes an adaptive key selection method to improve the efficiency of service retrieval. However, the service addition operation of the adaptive key selection method is inefficient in the multilevel index model. For this reason, this article improves the multilevel index model by introducing local equivalence partition. This indexing model improves the service addition efficiency of the adaptive key selection method without affecting the service retrieval efficiency. It is experimentally demonstrated that the retrieval and addition efficiencies of the adaptive key selection method are close to the ideal state optimum under the multilevel index model with local equivalence partitioning.
A light scatter based model relating erythrocyte vesiculation to lifetime in circulation
Authors: Yastrebova Ekaterina S. , Gisich Alla V. , Nekrasov Vyacheslav M. , Gilev Konstantin V. , Strokotov Dmitry I. , Chernyshev Andrei V. , Karpenko Andrey A. , Maltsev Valeri P. 
Published: May 2023

AbstractMethods for measuring erythrocyte age distribution are not available as a simple analytical tool. Most of them utilize the fluorescence or radioactive isotopes labeling to construct the age distribution and support physicians with aging indices of donor's erythrocytes. The age distribution of erythrocyte may be a useful snapshot of patient state over 120‐days period of life. Previously, we introduced the enhanced assay of erythrocytes with measurement of 48 indices in four categories: concentration/content, morphology, aging and function (10.1002/cyto.a.24554). The aging category was formed by the indices based on the evaluation of the derived age of individual cells. The derived age does not exactly mean the real age of erythrocytes and its evaluation utilizes changes of cellular morphology during a lifespan. In this study, we are introducing the improved methodological approach that allows us to retrieve the derived age of individual erythrocytes, to construct the aging distribution, and to reform the aging category consisting of eight indices. The approach is based on the analysis of the erythrocyte vesiculation. The erythrocyte morphology is analyzed by scanning flow cytometry that measures the primary characteristics (diameter, thickness, and waist) of individual cells. The surface area (S) and sphericity index (SI) are calculated from the primary characteristics and the scattering diagram SI versus S is used in the evaluation of the derived age of each erythrocyte in a sample. We developed the algorithm to evaluate the derived age that provides eight indices in the aging category based on a model using light scatter features. The novel erythrocyte indices were measured for simulated cells and blood samples of 50 donors. We determined the first‐ever reference intervals for these indices.
Familial Mediterranean fever with colonic lesions: A case report
Authors: Ariga Hiroyuki , Kunisaki Reiko , Ojima Takeshi , Suzuki Satoshi , Okada Kenta , Kashimura Junya 
Published: May 2023

AbstractA 26‐year‐old man with a history of ulcerative colitis treatment presented to our clinic with abdominal pain and fever. He had a history of bloody stools and abdominal pain at 19 years of age. A thorough examination by a medical practitioner, including lower gastrointestinal endoscopy, resulted in the diagnosis of ulcerative colitis. After induction of remission with prednisolone (PSL), the patient was treated with 5‐aminosalicylate. One year ago in September, his symptoms flared up again, and he was administered 30 mg/day of PSL until November of the same year. However, he was transferred to another hospital and referred to his previous doctor. During the follow‐up in December of the same year, flare‐ups of abdominal pain and diarrhea were reported. Upon review of the patient's medical history, familial Mediterranean fever was suspected because the patient had periodic fevers ≥38°C and symptoms that persisted even after oral steroid administration and were sometimes accompanied by joint pain. However, he was transferred again, and PSL was administered once more. The patient was referred to our hospital for further treatment. At the time of arrival, his symptoms did not improve with 40 mg/day of PSL, and endoscopy and computed tomography revealed thickening of the colon, with no abnormality in the small intestine. Suspecting familial Mediterranean fever‐associated enteritis, the patient was administered colchicine, resulting in an improvement in symptoms. Furthermore, an examination of the MEFV gene showed a mutation in Exon5 (S503C), and atypical familial Mediterranean fever was diagnosed. Endoscopy after colchicine treatment revealed that the ulcers improved remarkably.
Robust projections and consequences of an expanding bimodal growing season in the western United States
Authors: Tercek Michael T. , Gross John E. , Thoma David P. 
Published: May 2023

AbstractPlant growth is restricted to times of the year when actual evapotranspiration (AET) is greater than zero because AET requires both the presence of water in the soil and temperatures warm enough to allow transpiration. Locations where water rather than temperature limits plant growth, such as semi‐arid areas of the southwestern United States, often have a bimodal growing season, such that distinct AET (growth) peaks occur in the spring and late summer, with a period of very limited plant growth occurring during the intervening summer months. We hypothesized that future warming will increase the zone containing bimodal growth seasons, likely resulting in significant changes in the competitive relationships between plant species that differ in their tolerance of a bimodal seasonality. This will likely alter plant distributions. Using climate projections to drive a water balance model, we mapped geographic regions within the continental United States projected to experience bimodal growing seasons in the future. The area containing bimodal seasonality increased under all 13 general circulation models (GCMs) and two representative concentration pathways (RCPs) examined. This robust result (seen in all alternative futures examined) nevertheless showed considerable variability depending on the GCM examined. The bimodal zone was projected to increase 13%–212% (49,000–792,000 km2) by the late 21st century relative to 1981–2010 estimates. Climate futures that contained the greatest temperature increases and greatest precipitation decreases projected the greatest expansion in the bimodal zone. For plant species that depend on relatively long, consistent time periods that are favorable to growth each year, the projected shift in seasonality may be an acute disturbance that could cause widespread mortality. These changes will likely have cascading ecological and management implications, including changes in the dominant plant life history strategies that occur in affected areas.
External shading and its effect on the energy efficiency of Tehran's office buildings
Authors: Heidarzadeh Sima , Mahdavinejad Mohammadjavad , Habib Farah 
Published: May 2023

AbstractModern office building designers tend to propose highly glazed façades that provide occupants with a view and daylight; however, the use of such façades has consequences, like glare and high energy consumption, especially in warm climates. Shadings affect energy usage for cooling, heating, and artificial lighting, defined as the objectives and output in the optimizer algorithm. The input variables are shading type, WWR, the depth of the shading, the distance between the shading and the window, the distance between fins, the number of fins in shading, and the distance from the top of the window. This research aims to comprehensively study external shadings and window‐to‐wall ratios to reduce the high energy consumption in modern office buildings in Tehran and cities in locations with a similar climate. The results can benefit all scientists researching building science, architects, instructors, and those wanting to buy a low‐energy consumption office. Energy consumption was calculated in Ladybug–Honeybee; the best objectives were obtained for each shading with the optimization process by the Octopus plugin in Grasshopper. Results were analyzed and rated compared with a window without shading. The best scenario was obtained for Egg‐crate with a 14.86% reduction in cooling energy and a 20.04% increase in useful daylight illuminance.
Synthesis and photoelectrochemical performance of Co doped SrTiO3 nanostructures photoanode
Authors: Mishra Arti , Parangusan Hemalatha , Bhadra Jolly , Ahmed Zubair , Mallick Shoaib , Touati Farid , Al‐Thani Noora 
Published: May 2023

AbstractIt is pertinent to realize that scientific research indicates that the most promising method for producing H2 is photo electrochemical water splitting through a photo anode. Cobalt‐doped SrTiO3 (Co‐SrTiO3) composite nanostructures were created in this study via hydrothermal synthesis. The impact of cobalt concentration change on Co‐SrTiO3 has been identified using morphological, structural, and photo electrochemical research. Surface morphology of pure SrTiO3 nanoparticles using SEM and TEM reveals that the particles are intermittently agglomerated. The inclusion of Cobalt lowered the particle size of the nanostructures to 23 nm than pure SrTiO3 (41 nm). In addition, the peak profile has been influenced by cubic phase also identified from the x‐ray diffraction analysis. The purity and composition of the materials were revealed by XPS analysis. The Co‐SrTiO3 composite's produced the best charge transfer and recombination capabilities at 3% Co doping, according to electrochemical chemical impedance (EIS) spectroscopy. At 0.2 V applied potential, the obtained 3% Co‐doped SrTiO3 photoanode system displays a photocurrent density of around 3.45 mA/cm2. The outcomes show that a promising application for the Co‐doped SrTiO3 photoanode in photoelectrochemical water splitting.
Reducing hysteresis and over‐smoothing in traffic estimation: A multistream spatial‐temporal graph convolutional network
Authors: Yu Haiyang , Liu Shuai , Ren Yilong , Zhao Yanan , Jiang Han , Liu Runkun 
Published: May 2023

AbstractAccurate traffic estimation contributes to safer route planning for Autonomous Vehicles (AVs). Currently, deep learning methods based on graph convolution networks (GCNs) and recurrent neural networks (RNNs) are widely used in traffic estimation. However, such methods suffer from spatial over‐smoothing and temporal hysteresis, which lead to estimation results deviating from the ground truth. Therefore, a multistream spatial‐temporal graph convolutional network (MSGCN) is proposed in this paper to deal with these issues. It integrates local, global and differential spatial‐temporal features which are modeled from multiple dimensions to deal with spatially correlation and time‐varying evolution of traffic states. Experimental results obtained on a real‐world dataset demonstrate the effectiveness of the proposed MSGCN. Furthermore, we measure the performance in both usual and unusual traffic states. Compared to baseline models, MSGCN is more accurate and robust in the two states.
Sequential spectrum sensing against random Byzantine attack in cognitive radio networks
Authors: Wu Jun , He Jiangtao , Gan Jipeng , Chen Ze , Zhang Jia , Chen Zehao , Zhu Gefei 
Published: May 2023

AbstractCognitive radio (CR) technology allows secondary users (SUs) to opportunistically access the licensed spectrum being authorized by the primary users (PUs) and then improves the spectrum utilization. Cooperative spectrum sensing (CSS) is an important component of cognitive radio (CR) technology to detect the PU signal via spatial diversity. However, due to the open facet of CR networks (CRNs), the CSS process may suffer from Byzantine attack where malicious users (MUs) falsify the status information about the PU signal and then cause harmful interference to the PU's communication or selfishly occupy spectrum resources. Otherwise, the cooperative paradigm also results in that multiple SUs need more time to detect the PU signal. The performance and efficiency of CSS will be further degraded due to these two reasons. For this aim, we propose sequential spectrum sensing (SSS) scheme to mitigate the negative impact of Byzantine attack and improve the cooperative efficiency. To this end, encouraged by in‐depth analysis of the blind problem, we formulate a random Byzantine attack model to follow the malicious behaviors from the perspective of MUs. In order to solve the blind problem in the process of the sensing sample fusion, a delivery evaluation mechanism is developed to lay solid foundation for SSS. On this basis, we further evaluate the reputation value (RV) within a sliding window and in order to improve the cooperative efficiency in the reporting stage, we dynamically select the sensing results of the more reliable SUs as the global decision to make a tradeoff between cooperative performance and cooperative efficiency. At last, extensive simulation results show that regardless of the malicious ratio, our proposed SSS only requires 6 samples to provide with 100% detection accuracy in the presence of always attack while also the remarkable performance in the presence of random attack when the malicious ratio exceeds 50%.
Brain‐wide associations between white matter and age highlight the role of fornix microstructure in brain ageing
Authors: Korbmacher Max , de Lange Ann Marie , van der Meer Dennis , Beck Dani , Eikefjord Eli , Lundervold Arvid , Andreassen Ole A. , Westlye Lars T. , Maximov Ivan I. 
Published: May 2023

AbstractUnveiling the details of white matter (WM) maturation throughout ageing is a fundamental question for understanding the ageing brain. In an extensive comparison of brain age predictions and age‐associations of WM features from different diffusion approaches, we analyzed UK Biobank diffusion magnetic resonance imaging (dMRI) data across midlife and older age (N = 35,749, 44.6–82.8 years of age). Conventional and advanced dMRI approaches were consistent in predicting brain age. WM‐age associations indicate a steady microstructure degeneration with increasing age from midlife to older ages. Brain age was estimated best when combining diffusion approaches, showing different aspects of WM contributing to brain age. Fornix was found as the central region for brain age predictions across diffusion approaches in complement to forceps minor as another important region. These regions exhibited a general pattern of positive associations with age for intra axonal water fractions, axial, radial diffusivities, and negative relationships with age for mean diffusivities, fractional anisotropy, kurtosis. We encourage the application of multiple dMRI approaches for detailed insights into WM, and the further investigation of fornix and forceps as potential biomarkers of brain age and ageing.
Physical inference of falling objects involves simulation of occluded trajectories in early visual areas
Authors: Zbären Gabrielle Aude , Meissner Sarah Nadine , Kapur Manu , Wenderoth Nicole 
Published: May 2023

AbstractHumans possess an intuitive understanding of the environment's physical properties and dynamics, which allows them to predict the outcomes of physical scenarios and successfully interact with the physical world. This predictive ability is thought to rely on mental simulations and has been shown to involve frontoparietal areas. Here, we investigate whether such mental simulations may be accompanied by visual imagery of the predicted physical scene. We designed an intuitive physical inference task requiring participants to infer the parabolic trajectory of an occluded ball falling in accordance with Newtonian physics. Participants underwent fMRI while (i) performing the physical inference task alternately with a visually matched control task, and (ii) passively observing falling balls depicting the trajectories that had to be inferred during the physical inference task. We found that performing the physical inference task activates early visual areas together with a frontoparietal network when compared with the control task. Using multivariate pattern analysis, we show that these regions contain information specific to the trajectory of the occluded ball (i.e., fall direction), despite the absence of visual inputs. Using a cross‐classification approach, we further show that in early visual areas, trajectory‐specific activity patterns evoked by the physical inference task resemble those evoked by the passive observation of falling balls. Together, our findings suggest that participants simulated the ball trajectory when solving the task, and that the outcome of these simulations may be represented in form of the perceivable sensory consequences in early visual areas.
The human cost of economic sanctions and strategies for building health system resilience: A scoping review of studies in Iran
Authors: Sajadi Haniye Sadat , Yahyaei Faeze , Ehsani‐Chimeh Elham , Majdzadeh Reza 
Published: May 2023

AbstractObjectivesThis review aimed to analyse the impacts of international economic sanctions on the overall health status of Iranians and the health system performance of Iran, in addition to identifying effective strategies for making the health system resilient to sanctions.Study designA scoping review.MethodsThree databases and grey literature were reviewed, and additional papers were identified in the lists of references. Two authors reviewed papers to check duplications and screen through inclusion/exclusion criteria. Furthermore, a narrative approach was employed to synthesise the findings.ResultsGiven overall health impacts, economic sanctions are believed to have adverse effects on Iranian's health and cause significant financial hardships in accessing healthcare services. These hardships mostly affect those in marginalised and vulnerable groups. Economic sanctions degrade Iran's health system by negatively impacting health services' availability. The detrimental effects of sanctions on economic and social circumstances were also documented. Economic sanctions could also adversely affect health research and education. Most strategies identified for health system resilience to sanctions are related to the health system governance.ConclusionsEven if essential medicines and supplies are exempted from the sanction regime, the impact of economic sanctions on public health is unavoidable. The quantification of the effect economic sanctions on different health‐related areas needs by further research. The measures identified for dealing with sanction can be considered in other countries but more work is needed to explore how health of people can be resilient against negative consequences of sanctions.