bluuebunny/crossref_metadata_2025_split huggingface dataset:
Merging three‐dimensional occupancy grid maps to support multi‐UAVs cooperative navigation systems
Authors: Basso Maik , Stocchero Diego , Schnarndorf Pedro , de Freitas Edison Pignaton 
Published: December 2022

AbstractUnmanned aerial vehicles (UAVs) have been widely used in many applications due to, among other features, their versatility, reduced operation cost, and reduced size. These applications increasingly require that features related to autonomous navigation be employed, such as mapping. However, the reduced capacity of resources such as battery life and hardware (memory and processing capacity) can hinder the development of these applications in UAVs. Thus, the collaborative use of multi‐UAVs for mapping can be used as an alternative to solve this problem, creating a cooperative navigation system. This system requires that individual local maps will be merged into a global map in a distributed way. In this context, this work proposes a system for merging three‐dimensional occupancy grid maps for use in UAVs that compose a cooperative navigation system. The proposed solution consists of a keypoint detector, a keypoint descriptor, and filters for keypoints and correspondences. The keypoint properties, such as orientation, are acquired from potential field gradients. Image processing techniques are applied to remove the map noise and better calculate the transformation parameters. The proposed system is validated by a set of simulation experiments performed in six different environments (indoor and outdoor). First, each component of the proposed system is individually evaluated. Then, the complete pairwise map merging system is evaluated. Finally, the appropriate functioning of the proposed system is validated through a visual evaluation.
Rapid formation of iron monosulfide on Indicator of Reduction in Soil devices in S‐rich hydric soils
Authors: Duball Chelsea E. , Andersen Megan L. , Beaudette Dylan , Vaughan Karen L. 
Published: December 2022

AbstractIndicator of Reduction in Soil (IRIS) devices are used to identify anaerobic conditions in soils for hydric soil and wetland identification purposes. IRIS devices quantify anaerobic conditions via the visualization of iron (Fe) reduction (e.g., orange Fe3+ paint reduces to soluble Fe2+, leaving behind the bare, white polyvinyl chloride device). Under stronger reducing conditions, sulfate (SO42−) reduction can occur, and sulfides (S2− and/or H2S) can react with the Fe3+ paint, resulting in the precipitation of black‐colored, reduced iron monosulfide (FeS). While these processes are well known, the rate of FeS formation remains relatively understudied and current IRIS methods may not capture these data accurately. This study investigated FeS formation on IRIS films to identify deployment times that capture the minimum and maximum precipitation of FeS. To determine the timing and magnitude of FeS‐precipitation on IRIS films, five replicate films were deployed in a wet, S‐rich soil, across 11 periods ranging from 2 min to 30 days. Results show that FeS precipitated on IRIS films in just 2 min, and the highest average amount of FeS (82%) precipitated in 1 day. After 1 day, the percentage of FeS decreased and a white color change became more apparent on IRIS films. Our results suggest that the recommended 30‐day deployment period is too long for accurately measuring FeS‐precipitation on IRIS devices deployed in wet, alkaline soils. These considerations should be incorporated into standard IRIS protocols used to quantify anaerobic conditions and other biogeochemical conditions (e.g., pore‐water sulfide levels) in S‐rich soils.
Printed Organic Photovoltaic Modules on Transferable Ultra‐thin Substrates as Additive Power Sources
Authors: Saravanapavanantham Mayuran , Mwaura Jeremiah , Bulović Vladimir 
Published: December 2022

AbstractThin‐film photovoltaics with functional components on the order of a few microns, present an avenue toward realizing additive power onto any surface of interest without excessive addition in weight and topography. To date, demonstrations of such ultra‐thin photovoltaics have been limited to small‐scale devices, often prepared on glass carrier substrates with only a few layers solution‐processed. We demonstrate large‐area, ultra‐thin organic photovoltaic (PV) modules produced with scalable solution‐based printing processes for all layers. We further demonstrate their transfer onto light‐weight and high‐strength composite fabrics, resulting in durable fabric‐PV systems ∼50 microns thin, weighing under 1 gram over the module area (corresponding to an area density of 105 g m−2), and having a specific power of 370 W kg−1. Integration of the ultra‐thin modules onto composite fabrics lends mechanical resilience to allow these fabric‐PV systems to maintain their performance even after 500 roll‐up cycles. This approach to decouple the manufacturing and integration of photovoltaics enables new opportunities in ubiquitous energy generation.
Polystyrene microplastic particles induce autophagic cell death in BEAS‐2B human bronchial epithelial cells
Authors: Jeon Mi Seon , Kim Jun Woo , Han Yu Bin , Jeong Mi Ho , Kim Ha Ryong , Sik Kim Hyung , Park Yong Joo , Chung Kyu Hyuck 
Published: December 2022

AbstractThe detection of high levels of microplastics in indoor and outdoor air has increased concerns regarding its toxic effects on the respiratory system. They are not easily degradable and can be deposited deep in the lungs. Although several studies have reported inhalation toxicities of microplastics, they are still controversial due to a lack of evidence. Herein, we evaluated the inhalation toxicities of three differently charged polystyrene microplastics (PS‐MPs), the most abundant microplastics in the air. Cytotoxicity and ROS generation were evaluated using WST‐1 and DCF‐DA assays, respectively. To evaluate the toxic effects on the lung, inflammatory responses were analyzed after repeated exposure to the PS‐MPs through intratracheal instillation. To explore the mechanism of toxicity, autophagy and ER stress‐associated proteins were analyzed. Only the positively charged PS‐MPs (NH2‐PS‐MPs) showed cytotoxicity and increased ROS generation in BEAS‐2B cells. Similarly, only NH2‐PS‐MPs significantly increased the expression and secretion of the pro‐inflammatory cytokine IL‐β in the animal experiments. The expression of ER stress proteins indicated that NH2‐PS‐MPs increased ER stress via PERK‐EIF2α and ATF4‐CHOP pathways. Moreover, accumulation of NH2‐PS‐MPs in lysosomes and deformity of the nucleus were observed in BEAS‐2B cells with autophagy induction. Taken together, our results demonstrated that NH2‐PS‐MPs induced autophagic cell death in bronchial epithelial cells, leading to inflammatory responses in the lungs. These results suggest that repeated inhalation of microplastics can result in inflammatory responses in the lung through cellular damage of lung epithelial cells, and that inhalation microplastics should be monitored to reduce inhalation health risks.
Beyond Questions: A Fellowship of Opportunities for Fostering Preschoolers' Story Comprehension
Authors: Collins Molly F. 
Published: December 2022

AbstractMuch attention has been paid to storybook reading as a context for supporting preschoolers' emergent language and literacy. Inferential thinking is essential to listening comprehension and to reading comprehension. Understanding the story deeply and reasoning about events and characters are central to children's enjoyment and to comprehension skills needed for later reading. Preschoolers have capacities for inferential thinking, but little practice‐based instruction, except for asking questions, has resulted from the few studies that have explored inferential talk in teacher–child language interactions. We undertook a pilot project with teachers in economically and racially diverse urban classrooms to examine the effects and components of a professional learning experience to support inferential thinking and story comprehension. The article explains important instructional opportunities for fostering story meaning and inferential thinking by leveraging components before, during, and after a read‐aloud and demonstrates practice‐based examples using children's literature.
Malformation of cortical development with abnormal cortex: early ultrasound diagnosis between 14 and 24 weeks of gestation
Authors: Krajden Haratz K. , Birnbaum R. , Kidron D. , Har‐Toov J. , Salemnick Y. , Brusilov M. , Malinger G. 
Published: December 2022

ABSTRACTObjectiveTo describe neurosonographic findings diagnostic or highly suggestive of the presence of malformations of cortical development involving the cortex that may be identified before 24 weeks of gestation.MethodsThis was a retrospective single‐center study of fetuses referred for neurosonography, during 2012–2019, with an abnormal cortical or sulcation pattern diagnosed early in the mid trimester. Stored files were analyzed for demographic data, abnormal brain findings, non‐central nervous system abnormalities, final diagnosis and postnatal outcome.ResultsThe study cohort included 20 fetuses, with a mean gestational age at diagnosis of 18.7 (range, 14.4–23.6) weeks, in 11 of which the diagnosis was made before 20 weeks of gestation. Reasons for referral were: midline anomaly (n = 7), ventriculomegaly (n = 4), infratentorial findings (n = 3), suspected malformation of cortical development (n = 3), ‘abnormal brain’ (n = 2) and skeletal dysplasia (n = 1). On neurosonography, both the sulcation pattern and the cortical layer were abnormal in four cases, only the sulcation pattern was considered abnormal in seven and only the cortical layer was abnormal in nine. Nineteen fetuses presented with associated central nervous system anomalies and six also had non‐central nervous system malformations. One case was recurrent. Eighteen parents opted for termination of pregnancy, including one selective termination in a twin pregnancy, and two fetuses were liveborn.ConclusionsFamiliarity with fetal brain anatomy and its early sonographic landmarks allowed early diagnosis of malformations involving cortical development. These patients are likely to represent the most severe cases and all had associated malformations. The presence of an abnormal cortical layer and/or abnormal overdeveloped sulci appear to be early signs of malformation of cortical development. © 2022 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Primary cardiac malignant peripheral nerve sheath tumour in a dog
Authors: Hardwick Joshua J. , Dawson Lou J. , Cahalan Stephen D. , Barker Emi N. 
Published: December 2022

AbstractA 6‐year‐old, female labrador retriever was presented for acute onset abdominal distention. Clinical examination identified tachycardia, a novel grade 3/6 right basilar systolic cardiac murmur, a distended abdomen and ventral pitting oedema. Jugular pulses were not present. Echocardiography revealed an infiltrative, intramural cardiac mass, with partial occlusion of the right atrium and ventricle, resulting in isolated caudal vena cava syndrome. Postmortem examination revealed a large mass arising from the base of the right atrium and extending into the ventricular lumen. Histopathological and immunohistochemical findings were consistent with a diagnosis of malignant peripheral nerve sheath tumour, a rare primary cardiac neoplasm in dogs.
Comparative electrocardiographic study of the Asian freshwater box turtle Cuora flavomarginata and the Asian yellow pond turtle Mauremys mutica using non‐invasive methods
Authors: Kuo Chin‐Chia , Chan I‐Ping , Lai Cheng‐Hung 
Published: December 2022

AbstractBackgroundEvaluation of cardiac function is an integral part of clinical examination of chelonians. However, information about electrocardiography (ECG) in turtles and tortoises is limited and fragmentary. Its application is limited due to the lack of ECG reference values. This study aimed to compare specific ECG parameters using non‐invasive methods in the Asian box turtle Cuora flavomarginata (CF) and the Asian yellow pond turtle Mauremys mutica (MM).MethodsWe included 116 clinically healthy and conscious turtles. Two non‐invasive methods, using adhesive patches or crocodile clips, for ECG were applied where possible. The ambient temperature was within the preferred optimum temperature zone of both species. We used specific digital ECG monitoring equipment to record the ECG data and analysed the data using specific software.ResultsThe MM group showed better ECG quality and lower heart rate than the CF group. Comparing both methods, the adhesive patches method yielded higher ECG quality in the CF group, while the crocodile clips method yielded higher ECG quality in the MM group.ConclusionsThe study population was selected as presumed healthy turtles; the presence of systemic or cardiac disease could not be excluded completely due to limited investigation. Both ECG methods were clinically potentially useful for obtaining ECG parameters; the ECG quality was influenced by the method used.
o‐Phenylene‐ and o‐benzyl‐linked P/N−Si/Sn Lewis pairs
Authors: Wickemeyer Lucas , Steffenfauseweh Henric , Neumann Beate , Stammler Hans‐Georg , Mitzel Norbert W. 
Published: December 2022

AbstractA series of different aryl‐linked (frustrated) Lewis pairs with perfluoroethylsilyl and ‐stannyl functions as Lewis acids has been prepared. The 1,2‐phenylene linked tin/phosphorus Lewis pair with a di‐tert‐butylphosphanyl unit as base shows a strong intramolecular donor‐acceptor interaction, but still readily adds hydrogen chloride. At the same time, the analogous silicon/phosphorus Lewis pair could not be obtained due to the decomposition of at least one perfluoroethyl group. With a sterically more demanding 2,2,6,6‐tetramethylpiperidine base, stable Lewis pairs could be obtained for both, silicon and tin. However, they do not show activity in small molecule activation with H2, phenyl isocyanate, CS2 or SO2. Furthermore, 2‐benzyl‐linked tin/nitrogen and silicon/phosphorus Lewis pairs were synthesized. Studies on their reactions towards small molecules did not show any reactivity, probably caused by an unfavorable preorganization due to rotation of the benzyl position.
Ethics of Knowledge Production in Times of Environmental Change
Authors: Stith Michaela , Corell Robert W. , Magga Rosa-Máren , Kaiser Matthias , Oskal Anders , Mathiesen Svein Disch 
Published: December 2022

AbstractThis chapter includes transdisciplinary analysis, ethical considerations, and guidelines about co-producing research across science and Indigenous peoples’ traditional knowledge systems, particularly in the Arctic region in times of environmental and climatic change. The authors intend to reach out to many readers with different backgrounds and interests. The study employs inter- and transdisciplinary framing of the knowledge systems. This includes an implicit criticism of the typical narrowing of study to disciplinary siloes. It is claimed that traditional academic research misses the importance and positive contributions of different knowledge traditions and thought styles, and it is further claimed that inclusivity of these traditions is an ethical component of responsible research. In this sense, it is hoped that the following chapter inspires researchers to transcend institutionalized knowledge framings and opt for co-production of knowledge that is ethically responsive to rich cultural traditions in the Arctic. Any type of research done in communities should not exploit the Indigenous communities and knowledge holders.
An Intelligent Data Flow Security Strategy Model of Cloud-Network Integration
Authors: Cai Nishui , Deng Zhuxiang , Wang Hao 
Published: December 2022

AbstractCloud-network integration business data flow security is mainly reflected in the business deployment stage and online service stage. First, this paper analyzes the trend of the digital platform technology of the cloud-network integration business system, puts forward an intelligent data flow security strategy model of cloud-network integration, including expert rule judgment system of simple cloud scene and AI algorithm application model of complex cloud scene. Then, this paper studies hierarchical linkage cloud-network integration security operation system based on the security policy model of intelligent data flow and risk monitoring capability system for personal privacy data protection by scenario system based on the security policy model of intelligent data flow. Finally, this paper points out that cloud-network integration intelligent data flow security strategy based on AI algorithms needs to be further studied.
Improving Deepfake Video Detection with Comprehensive Self-consistency Learning
Authors: Bao Heng , Deng Lirui , Guan Jiazhi , Zhang Liang , Chen Xunxun 
Published: December 2022

AbstractDeepfake videos created by generative-base models have become a serious societal problem recently as been hardly distinguishable by human eyes, which has aroused a lot of academic attention. Previous researches have made effort to address this problem by various schemes to extract visual artifacts of non-pristine frames or discrepancy between real and fake videos, where the patch-based approaches are shown to be promising but mostly used in frame-level prediction. In this paper, we propose a method that leverages comprehensive consistency learning in both spatial and temporal relation with patch-based feature extraction. Extensive experiments on multiple datasets demonstrate the effectiveness and robustness of our approach by combines all consistency cue together.
Research on Adversarial Patch Attack Defense Method for Traffic Sign Detection
Authors: Zhang Yanjing , Cui Jianming , Liu Ming 
Published: December 2022

AbstractAccurate and stable traffic sign detection is a key technology to achieve L3 driving automation, and its performance has been significantly improved by the development of deep learning technology in recent years. However, the current traffic sign detection has inadequate difficulty resisting anti-attack ability and even does not have basic defense capability. To solve this critical issue, an adversarial patch attack defense model IYOLO-TS is proposed in this paper. The main innovation is to simulate the conditions of traffic signs being partially damaged, obscured or maliciously modified in real world by training the attack patches, and then add the attacked classes in the last layer of the YOLOv2 which are corresponding to the original detection categories, and finally the attack patch obtained from the training is used to complete the adversarial training of the detection model. The attack patch is obtained by first using RP2algorithm to attack the detection model and then training on the blank patch. In order to verify the defense effective of the proposed IYOLO-TS model, we constructed a patch dataset LISA-Mask containing 50 different mask generation patches of 33000 sheets, and then training dataset by combining LISA and LISA-Mask datasets. The experiment results show that the mAP of the proposed IYOLO-TS is up to 98.12%. Compared with YOLOv2, it improved the defense ability against patch attacks and has the real-time detection ability. It can be considered that the proposed method has strong practicality and achieves a tradeoff between design complexity and efficiency.
Webpage Tampering Detection Method Based on BiGRU-CRF-RCNN
Authors: Fan Xiangyu , Yang Jilong , Zhao Wei , Deng Jincheng , Liu Fangming 
Published: December 2022

AbstractWith the development of the Internet, cyber security events occur frequently, especially webpage tampering events account for a high proportion. In response to this phenomenon, this paper constructs a webpage tampering detection framework BCR. Based on the webpage to be detected, the webpage text data is segmented and extracted according to the webpage structure, the text features are extracted by using BiGRU model combined with context dependence, and then combined with the CRF to learn sequence state labeling named entities, the word vector is constructed by the extracted named entity and brought into the RCNN model for tampering detection. The experiment results show that the framework has achieved 95.37% precision, 95.35% recall and 95.34% F1-Score in webpage tampering detection, which is better than Textrank RCNN framework in webpage tampering detection. In practical application, it also achieved 95.13% precision and 93.25% recall.
A unified formulation of one-loop tensor integrals for finite volume effects
Authors: Liang Ze-Rui , Yao De-Liang 
Published: December 2022

Abstract
A unified formulation of one-loop tensor integrals is proposed for systematical calculations of finite volume corrections. It is shown that decomposition of the one-loop tensor integrals into a series of tensors accompanied by tensor coefficients is feasible, if a unit space-like four vector nμ, originating from the discretization effects at finite volume, is introduced. A generic formula has been derived for numerical computations of all the involved tensor coefficients. For the vanishing external three-momenta, we also investigate the feasibility of the conventional Passarino-Veltmann reduction of the tensor integrals in a finite volume. Our formulation can be easily used to realize the automation of the calculations of finite volume corrections to any interesting quantities at one-loop level. Besides, it provides finite volume result in a unique and concise form, which is suited for, e.g., carrying out precision determination of physical observable from modern lattice QCD data.
The Exact WKB analysis and the Stokes phenomena of the Unruh effect and Hawking radiation
Authors: Enomoto Seishi , Matsuda Tomohiro 
Published: December 2022

Abstract
The physical observables of quantum theory can be described by perturbation theory, which is often given by diverging power series. This divergence is connected to the existence of non-perturbative phenomena, where resurgence allows us to study this connection. Applying this idea to the WKB expansion, the exact WKB analysis gives a clear connection to non-perturbative phenomena. In this paper, we apply the exact WKB analysis to the Unruh effect and Hawking radiation. The mechanism we found in this paper is similar to the Schwinger effect of a constant electric field, where the background is static but the Stokes phenomenon appears in the temporal part. Comparing this with a sonic black hole, our calculations show a clear discrepancy between them. Then, we briefly explain how quantum backreactions can be included in the exact WKB formalism.