bluuebunny/crossref_metadata_2025_split huggingface dataset:
Automatic flower detection and phenology monitoring using time‐lapse cameras and deep learning
Authors: Mann Hjalte M. R. , Iosifidis Alexandros , Jepsen Jane U. , Welker Jeffrey M. , Loonen Maarten J. J. E. , Høye Toke T. 
Published: June 2022

AbstractThe advancement of spring is a widespread biological response to climate change observed across taxa and biomes. However, the species level responses to warming are complex and the underlying mechanisms are difficult to disentangle. This is partly due to a lack of data, which are typically collected by direct observations, and thus very time‐consuming to obtain. Data deficiency is especially pronounced in the Arctic where the warming is particularly severe. We present a method for automated monitoring of flowering phenology of specific plant species at very high temporal resolution through full growing seasons and across geographical regions. The method consists of image‐based monitoring of field plots using near‐surface time‐lapse cameras and subsequent automated detection and counting of flowers in the images using a convolutional neural network. We demonstrate the feasibility of collecting flower phenology data using automatic time‐lapse cameras and show that the temporal resolution of the results surpasses what can be collected by traditional observation methods. We focus on two Arctic species, the mountain avens Dryas octopetala and Dryas integrifolia in 20 image series from four sites. Our flower detection model proved capable of detecting flowers of the two species with a remarkable precision of 0.918 (adjusted to 0.966) and a recall of 0.907. Thus, the method can automatically quantify the seasonal dynamics of flower abundance at fine scale and return reliable estimates of traditional phenological variables such as the timing of onset, peak, and end of flowering. We describe the system and compare manual and automatic extraction of flowering phenology data from the images. Our method can be directly applied on sites containing mountain avens using our trained model, or the model could be fine‐tuned to other species. We discuss the potential of automatic image‐based monitoring of flower phenology and how the method can be improved and expanded for future studies.
Size Optimization of Organic Nanoparticles with Aggregation‐Induced Emission Characteristics for Improved ROS Generation and Photodynamic Cancer Cell Ablation
Authors: Gan Shengming , Wu Wenbo , Feng Guangxue , Wang Zhiming , Liu Bin , Tang Ben Zhong 
Published: June 2022

AbstractAggregation‐induced emission (AIE) fluorogens provide new opportunities to promote efficient reactive oxygen species (ROS) production in aggregates, which represent the promising candidates to construct theranostic nanoparticles for photodynamic therapy (PDT), but the size effect has been rarely explored. Herein, a universal method to fabricate organic nanoparticles with controllable sizes is reported and it demonstrates that ≈45 nm is the optimal size of AIE nanoparticles for PDT. Different from conventional Ce6 nanoparticles which show largely reduced fluorescence and ROS generation with increasing nanoparticle size, AIE nanoparticles show gradually enhanced brightness and ROS generation upon increasing the sizes from 6 to ≈45 nm. Further increasing sizes could continue to intensify the nanoparticle's brightness at the expense of ROS production, with the optimal size for ROS generation being achieved at ≈45 nm. Both 2D monolayer cell and 3D multicellular spheroid experiments confirm that 45 nm AIE nanoparticles have the highest cellular uptake, the deepest penetration depth, and the best photodynamic killing effect. Such a study not only manifests the advantages of AIE photosensitizers, but also delivers the optimal size ranging for efficient PDT, which shall provide an attractive paradigm to guide the development of phototheranostic nanoparticles besides molecular design to further promote PDT applications.
Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective
Authors: Li Xueling , Long Yujie , Fan Meixi , Chen Yong 
Published: June 2022

AbstractArtificial intelligence (AI) has been adopted in entrepreneurial practices and generates huge economic benefits. It creates a number of digital start‐ups and changes the way in which entrepreneurial research and practice interact. Existing studies on the cross‐field of AI and entrepreneurial management are scattered. Accordingly, this paper conducts a comprehensive and systematic review of existing studies on AI in entrepreneurial management by applying VOSviewer, a knowledge graph tool, based on the data obtained from the Web of Science. The study standardizes and analyses prominent research topics, interprets research hotspots and points out directions for further research.
Product online review analysis using fuzzy ontology
Authors: Mei‐fang Yao , Shuai‐qi Jin , Jing Ge 
Published: June 2022

AbstractThis paper analyses the online text comments in the online trading platform and identifies the abnormal and contradictory comments. Firstly, the abnormal contradiction detection and analysis model of online text reviews is constructed based on fuzzy ontology to identify the abnormal and contradictory online text reviews. Secondly, the fuzzy emotional ontology and emotional tendency analysis method identify abnormal and contradictory online text reviews. The online text review anomaly detection and analysis model constructed enriches the process and method of online review anomaly identification.
Peripheral blood eosinophilia in dogs: Prevalence and associated diseases
Authors: Guija‐de‐Arespacochaga Abigail , Kremer Loïc , Künzel Frank , Schwendenwein Ilse 
Published: June 2022

AbstractBackgroundCanine eosinophilia has not been evaluated over the last two decades. As in human local differences, changes in the prevalence and associated diseases over time can be expected.ObjectiveThis study aims to determine the prevalence and causes of marked blood eosinophilia in dogs.MethodsRetrospective study. A total of 317 clinical histories of dogs with an eosinophil concentration > 1.5 × 109/L (marked eosinophilia) between 2013 and 2017 were evaluated. Patients were allocated to 10 groups according to their major clinical findings.ResultsEosinophilia was present in 1,592 of 10,829 dogs (14.7%); it was mild (0.8–1.49 × 109/L) in 78.4%, moderate (1.5 – 4.9 × 109/L) in 20.5% and severe (> 5 × 109/L) in 1.1% of cases. Rottweilers were overrepresented (16.1%). Of 317 cases with marked eosinophilia, 19.6% had neoplasia, 19.1% gastrointestinal disorders, 13.6% health check, 10.4% endoparasites, 6% respiratory, 5.4% neurologic, 5.4% dermatologic, 4.8% urogenital, 3.2% endocrine disorders and 12.6% miscellaneous. Lymphomas (29%) and mast cell tumours (12.9%) were the most frequent tumours in the neoplasia group. A total of 72.6% of tumour‐bearing dogs were older than 8 years, while 63.6% of dogs had endoparasites, and 86% of apparently healthy dogs were younger than 5 years. Eosinophilia was significantly higher in patients with respiratory disorders (p < 0.0146). Leukocytosis was found in 50.2% of cases.ConclusionMalignancy was the most common cause of marked blood eosinophilia in older dogs and endoparasitism in younger dogs. Eosinophilia was common in apparently healthy young dogs and may be related to undiagnosed parasitic infestations.
Microwave‐assisted preparation of fatty acid esters based eco‐friendly plasticizers for biologically‐active thiazole‐functionalized PVC
Authors: Aboghoniem Asmaa M. , Youssef Mohamed A. , Darwish Osama M. , Gaballah Samir T. , Rabie Samira T. 
Published: June 2022

AbstractTwo thiazole derivatives namely, ethyl 2‐((4‐hydroxyphenyl)amino)thiazole‐4‐carboxylate (A) and 4‐(4‐(4‐chlorophenyl)thiazol‐2‐yl)amino) phenol (B) were prepared using Huntzich thiazole method. These derivatives were used to functionalize poly(vinyl chloride), to give two antimicrobial compounds PVC‐A and PVC‐B, respectively for possible use in biomedical applications. P1, P2, and P3 are three ethylene glycol esters of stearic, octanoic, and oleic fatty acids were prepared by microwave irradiation as an alternative to traditional phthalate plasticizers for the development of flexible and phthalate‐free antimicrobial polymers. The chemical structures of the functionalized PVC samples were confirmed using FTIR and 1H NMR spectroscopies. Thermal and photostability of PVC‐A and PVC‐B were determined by thermogravimetric analysis and gel permeation chromatography. The results revealed that the functionalized PVC had higher thermal and photo stabilities than the unmodified PVC. The effects of plasticizers on the thermal stability and mechanical properties of functionalized PVC samples, as well as plasticizer migration from the polymeric matrix, were studied. The physicochemical properties of the modified PVC were improved by adding the prepared fatty acids plasticizers. The extent of plasticizer migration from the polymeric matrix was less than that of diethylhexylphthalate, the reference plasticizer. The antibacterial activity of the two prepared thiazoles, their functionalized PVC samples, and PVC blended with the prepared thiazoles was tested against Gram+ve and Gram−ve bacteria as well as Candida albicans, a fungus strain. The antibacterial activity of the investigated samples revealed that all of the samples had a stronger inhibitory effect against the microorganisms that were tested.
Insect Resistance
Authors: Tadesse Wuletaw , Harris Marion , Crespo-Herrera Leonardo A. , Mori Boyd A. , Kehel Zakaria , El Bouhssini Mustapha 
Published: June 2022

AbstractStudies to-date have shown the availability of enough genetic diversity in the wheat genetic resources (land races, wild relatives, cultivars, etc.) for resistance to the most economically important insect pests such as Hessian fly, Russian wheat aphid, greenbug, and Sun pest. Many R genes – including 37 genes for Hessian fly, 11 genes for Russian wheat aphid and 15 genes for greenbug – have been identified from these genetic resources. Some of these genes have been deployed singly or in combination with other genes in the breeding programs to develop high yielding varieties with resistance to insects. Deployment of resistant varieties with other integrated management measures plays key role for the control of wheat insect pests.
Trends in Breast Augmentation Research: A Bibliometric Analysis
Authors: Ri CholSik , Yu Jiang , Mao JiaXin , Zhao MuXin 
Published: June 2022

Abstract
Background
Breast augmentation is one of the most demanded procedures in plastic surgery and one of the most commonly performed by plastic surgeons. However, a bibliometric analysis of breast augmentation has not been published in recent years. The current study aimed to use a bibliometric analysis to conduct a qualitative and quantitative evaluation of breast augmentation research and provide the research trends and hotspots in this field.

Methods
Publications on breast augmentation research were extracted from the Web of Science core collection database. VOSviewer 1.6.18 was used to assess co-authorship, co-occurrence, citation of countries, institutions, authors, and journals, as well as hotspot keywords.

Results
On February 8, 2022, 4637 records of breast augmentation research published from 1985 to 2021 were collected. The bulk of the retrieved studies were original research articles (n = 2235, 48.20%). A total of 1053 (22.71%) papers were open access. The annual publication output increased annually. The USA was the driving force in this field and had a strong academic reputation. The top-contributing institution was the University of Texas MD Anderson Cancer Center (2.37%, with 110 publications). Plastic and reconstructive surgery (998 publications, 21.52%) published the most research in this field and was also the most frequently co-cited journal (22,351 citations, total link strength (TLS): 409,301). Clemens MW (68 publications, 1.47%) was the most prolific author, and Spear SL (1456 citations, TLS: 27,231) was the most frequently co-cited author. The research hotspots included the following four aspects: safety and effectiveness of breast implants, implant-based breast reconstruction, breast cancer incidence after breast implantation, and breast implant-associated anaplastic large-cell lymphoma (BIA-ALCL). The research trends were BIA-ALCL, implant-based breast reconstruction, BREAST-Q, acellular dermal matrix, capsular contracture, and autologous fat grafting.

Conclusion
The present study provides a panoramic view of breast augmentation research in plastic and reconstructive surgery. This novel comprehensive bibliometric analysis can help researchers and nonresearchers alike to rapidly identify the potential partners, research hotspots, and research trends within their areas of interest.

Level of Evidence III
This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
Hierarchical clustering and matrix completion for the reconstruction of world input–output tables
Authors: Metulini Rodolfo , Gnecco Giorgio , Biancalani Francesco , Riccaboni Massimo 
Published: June 2022

AbstractMulti-regional input–output (I/O) matrices provide the networks of within- and cross-country economic relations. In the context of I/O analysis, the methodology adopted by national statistical offices in data collection raises the issue of obtaining reliable data in a timely fashion and it makes the reconstruction of (parts of) the I/O matrices of particular interest. In this work, we propose a method combining hierarchical clustering and matrix completion with a LASSO-like nuclear norm penalty, to predict missing entries of a partially unknown I/O matrix. Through analyses based on both real-world and synthetic I/O matrices, we study the effectiveness of the proposed method to predict missing values from both previous years data and current data related to countries similar to the one for which current data are obscured. To show the usefulness of our method, an application based on World Input–Output Database (WIOD) tables—which are an example of industry-by-industry I/O tables—is provided. Strong similarities in structure between WIOD and other I/O tables are also found, which make the proposed approach easily generalizable to them.
Klimaschutz im Verkehrssektor: Klimaorientiertes und sozial gerechtes Marktdesign
Authors: Kasten Peter 
Published: June 2022

ZusammenfassungDer Verkehrssektor hinkt seit 30 Jahren im Klimaschutz hinterher. Gesellschaft, Industrie und Politik stehen vor entsprechend großen Herausforderungen, um die Klimaschutzziele der nächsten Jahre zu erreichen. Eine Antriebs- sowie Mobilitätswende ist hierfür erforderlich. Ein klimaorientiertes und sozial gerechteres Marktdesign ist nicht nur möglich, sondern auch notwendig. Es bleibt aber fraglich, ob und wie die im Koalitionsvertrag gesetzten Ziele für den Klimaschutz im Verkehrssektor erreicht werden.
Brauchen wir CO2-Schattenpreise für öffentliche Ausgaben?
Authors: Löschel Andreas , Schulze David 
Published: June 2022

ZusammenfassungHohe Preise für den Ausstoß von klimaschädlichen Treibhausgasen sind ein effizienter Weg, um den Umstieg auf ein nachhaltiges Wachstumsmodell und die gesetzten Klimaziele zu erreichen. Trotz der Einführung von CO2-Preisen für Emissionen in Deutschland und Europa sind große Bereiche noch nicht von einer CO2-Bepreisung abgedeckt. Zusätzlich sind die Preise sehr wahrscheinlich zu niedrig, um die Zielerreichung im Klimaschutz zu sichern. Vor diesem Hintergrund ist die Einführung eines Schattenpreises auf Emissionen aus öffentlichen Beschaffungen und Investitionen ein weiterer Mechanismus, der die Energiewende unterstützen kann und auch indirekte Emissionseinsparungen finanziell attraktiv macht. Die zu erwartende Wirkung ist durch die niedrige Preisspanne, den kurzen Planungshorizont und die bisher eingeschränkte Anwendung auf Bundesausgaben begrenzt.
European Union’s Natura 2000 network: an effective tool for nature conservation? The relic pine forests of the Franconian Jura
Authors: Hemp Andreas , Philipp Christie , Hemp Claudia 
Published: June 2022

AbstractLand use change and intensification are the most important direct drivers of decreasing biodiversity globally. Therefore, the European Union created the Natura 2000 network to protect endangered species and habitats. Here we are interested how the ambitious European goals are actually implemented studying a Natura 2000 habitat, the “Sarmatic steppe pine forests” (Code 91U0) in a national hotspot of biodiversity in Franconia (Germany). These forests are a relic of the postglacial warm stage, preserved by human land use since the Neolithic, but are now heavily declining due to abandonment of traditional land use practices. Applying a long-term monitoring over 30 years including all existing (> 600) stands and a Random Forest classification model, we show that less than a quarter of the area of 1990 and only about 1% of 1950 still exists. Immigration of spruce and beech and forest conversion was responsible for this massive loss, impacting the light-demanding species composition. However, nearly no conservation efforts were undertaken, and replanting with broadleaved trees is still ongoing even after the designation as protected habitat in 2008. Therefore, these forests demonstrate how land use change and intensification (i.e. global change) continuously endanger a habitat protected by national and European law.
Synthesis and assessment of poly(5-nitro-2-aminophenol) as a new scaling inhibitor to control the precipitation of CaCO3 and CaSO4 in solution
Authors: Hassan Hammed H. A. M. , Abd-El-Khalek Dalia E. , Fattah Marwa Abdel 
Published: June 2022

AbstractThe introduction of a -NO2 substituent in o-aminophenol would create an open-unit polymer suitable for different applications. We report the synthesis of poly(5-nitro-2-aminophenol) by aniline-catalyzed oxidative polymerization. The polymer structure was intensively characterized by spectroscopic techniques, elemental analysis, cyclic voltammetry, electrical conductivity and microscopic measurements such as SEM, TEM, TGA and DSC. The hydrophilic and hydrophobic nature of the substituents provided the formation of amphiphilicity, as judged by SEM. Thermal measurements reveal high stability up to 500 °C. Electrical conductivity decreases with increasing temperature at various frequencies. This behavior reflects the semiconducting nature in the extrinsic range, which is characterized by high carriers and low mobility. Dielectric measurements have shown that permittivity decreases gradually at lower levels, mainly due to the transport of charging carriers. Investigating the copolymer as a new scale blocker has resulted in moderate to high performance attributed to the change in polymer geometry because of the presence of different tautomers having equivalent ortho functionalities and could equally coordinate with free calcium ions and thus reduce the nucleation rate and block crystal growth. Thus, the abovementioned features indicate a new potential candidate for application as a scaling inhibitor of CaSO4 and CaCO3 precipitation, a common problem in industry.
Importance of water level management for peatland outflow water quality in the face of climate change and drought
Authors: Salimi Shokoufeh , Scholz Miklas 
Published: June 2022

AbstractThe impact of different climate scenarios, drought, and water level management on the outflow water quality of peatlands has been investigated. A mesocosm experiment has been conducted within climate control chambers to simulate current (2016–2019 real-time) and future representative concentration pathway (RCP) climate scenarios (RCP 2.6, 4.5 and 8.5). To assess the efficiency of a management strategy for improving peatland water quality, water level adjustment was applied to half of the system at the same time for each climate scenario. Furthermore, the mesocosm experienced the 2018 European drought during the simulation years, and the corresponding impact was analyzed. The results of this study revealed a substantial and favorable impact of water level management on water quality of peatlands under different climate scenarios. The effect of water level management was the largest for ammonium (NH4-N) and 5-day biochemical oxygen demand (BOD5), and the smallest for total phosphorus (TP). Drought had a strong impact on chemical variables, increasing their concentration and deteriorating the water quality of peatland outflow. However, water level management can stabilize the nutrient levels in peatland outflows, particularly during drought and under warmer climate scenarios, thus mitigating the adverse effects of climate change.
Urine concentrations of selected trace metals in a cohort of Irish adults
Authors: Rooney James P. K. , Michalke Bernhard , Geoghegan Gráinne , Heverin Mark , Bose-O’Reilly Stephan , Hardiman Orla , Rakete Stefan 
Published: June 2022

Abstract
Human biomonitoring studies are of increasing importance in regulatory toxicology; however, there is a paucity of human biomonitoring data for the Irish population. In this study, we provide new data for urinary biomarker concentrations of aluminium, arsenic, cadmium, chromium, copper, mercury, manganese, lead and selenium. One hundred urine samples, collected between 2011 and 2014 from healthy participants of the EuroMOTOR project, were randomly selected. Metal concentrations were measured via ICPMS. Descriptive statistics for each of the metals stratified by gender were performed. There were 58 male and 42 female participants and metals were detectable for all samples. Geometric mean urinary concentrations for each metal in males were as follows: aluminium 8.5 μg/L, arsenic 8.1 μg/L, cadmium 0.3 μg/L, chromium 0.5 μg/L, copper 5.1 μg/L, mercury 0.4 μg/L, manganese 0.3 μg/L, lead 1.3 μg/L and selenium 10.8 μg/L; and in females: aluminium 8.5 μg/L, arsenic 10.2 μg/L, cadmium 0.4 μg/L, chromium 0.6 μg/L, copper 5.6 μg/L, mercury 0.3 μg/L, manganese 0.2 μg/L, lead 1.6 μg/L and selenium 13.7 μg/L. We observed higher geometric mean concentrations in women for arsenic, cadmium, chromium, copper, lead and selenium, with equal geometric mean concentrations for aluminium and manganese, leaving only mercury with lower geometric mean concentrations in women. Aluminium, cadmium, chromium, lead and urinary concentrations of metals were slightly elevated compared to European data, while for arsenic, copper, manganese and selenium, Irish levels were lower. Our findings highlight that there are differences in urinary metal concentrations between European populations.