bluuebunny/crossref_metadata_2025_split huggingface dataset:
Surgical Approaches in Odontogenic Orbital Cellulitis (OOC): Our Experience and Review of Literature
Authors: Antonio Romano , Stefania Troise , Umberto Committeri , Antonio Arena , Dell’Aversana Orabona Giovanni , Francesco Seidita , Paola Bonavolontà , Giorgio Iaconetta , Lugi Califano 
Published: May 2021

AbstractAims Odontogenic orbital cellulitis represents a complication of root infections of upper pre-molars and molars. The severity depends on the orbital structure involved. The treatment is based on antibiotic therapy associated or not to surgery. Through the presentation of three cases and a review of literature, we purpose as aim of our study to underline the necessity of a timely diagnosis and to provide the correct surgical approach in each different types and stages of orbital infections. Methods We present three patients that were affected by dental infection evolved in orbital cellulitis. In two cases the disease was solved with the extraction of infected tooth and a surgical endoscopic drainage of the abscess through antrostomy of maxillary sinus. In the third patient the disease had already induced a bulbar perforation and endophthalmitis, so an orbit evisceration was necessary. Results Review of literature showed that the standard treatment of orbital cellulitis is the transnasal approach associated or not by a transoral and/or transcutaneous procedure depending on the stage of the disease and on the causes. In our 3 cases these indications were followed without relapses of the disease. Conclusion An early diagnosis is mandatory in odontogenic orbital cellulitis specially to avoid serious complications. Surgical treatment can be simple and effective mostly in early-stage infection: it is based on extraction of infected tooth and on the drainage of abscess. Surgical approach consists in transnasal procedure flanked or not by transoral and transcutaneous procedures based on the stage of the infection considering involved structures.
Acrolein Induces Systemic Coagulopathy via Autophagy-dependent Secretion of von Willebrand Factor in Mice after Traumatic Brain Injury
Authors: Cui Wenxing , Wu Xun , Feng Dayun , Luo Jianing , Shi Yingwu , Guo Wei , Liu Haixiao , Wang Qiang , Wang Liang , Ge Shunnan , Qu Yan 
Published: May 2021

AbstractTraumatic brain injury (TBI)-induced coagulopathy has increasingly been recognized as a significant risk factor for poor outcomes, but the pathogenesis remains poorly understood. In this study, we aimed to investigate the causal role of acrolein, a typical lipid peroxidation product, in TBI-induced coagulopathy, and further explore the underlying molecular mechanisms. We found that the level of plasma acrolein in TBI patients suffering from coagulopathy was higher than that in those without coagulopathy. Using a controlled cortical impact mouse model, we demonstrated that the acrolein scavenger phenelzine prevented TBI-induced coagulopathy and recombinant ADAMTS-13 prevented acrolein-induced coagulopathy by cleaving von Willebrand factor (VWF). Our results showed that acrolein may contribute to an early hypercoagulable state after TBI by regulating VWF secretion. mRNA sequencing (mRNA-seq) and transcriptome analysis indicated that acrolein over-activated autophagy, and subsequent experiments revealed that acrolein activated autophagy partly by regulating the Akt/mTOR pathway. In addition, we demonstrated that acrolein was produced in the perilesional cortex, affected endothelial cell integrity, and disrupted the blood-brain barrier. In conclusion, in this study we uncovered a novel pro-coagulant effect of acrolein that may contribute to TBI-induced coagulopathy and vascular leakage, providing an alternative therapeutic target.
Communication Models in Human–Robot Interaction: An Asymmetric MODel of ALterity in Human–Robot Interaction (AMODAL-HRI)
Authors: Frijns Helena Anna , Schürer Oliver , Koeszegi Sabine Theresia 
Published: May 2021

AbstractWe argue for an interdisciplinary approach that connects existing models and theories in Human–Robot Interaction (HRI) to traditions in communication theory. In this article, we review existing models of interpersonal communication and interaction models that have been applied and developed in the contexts of HRI and social robotics. We argue that often, symmetric models are proposed in which the human and robot agents are depicted as having similar ways of functioning (similar capabilities, components, processes). However, we argue that models of human–robot interaction or communication should be asymmetric instead. We propose an asymmetric interaction model called AMODAL-HRI (an Asymmetric MODel of ALterity in Human–Robot Interaction). This model is based on theory on joint action, common robot architectures and cognitive architectures, and Kincaid’s model of communication. On the basis of this model, we discuss key differences between humans and robots that influence human expectations regarding interacting with robots, and identify design implications.
Implementation of Self-Management Interventions in Cancer Survivors: Why Are We Not There Yet?
Authors: Rimmer Ben , Sharp Linda ,   on behalf of Ways Ahead study team
Published: May 2021

AbstractDespite the growing evidence base for supported self-management for the improvement of quality of life, there is a lack of widespread implementation of self-management interventions for cancer survivors. We propose five key areas that, if addressed, would optimise the development and evaluation of these interventions, namely: (1) improving intervention adaptability to different survivor populations; (2) establishing intervention acceptability (and feasibility); (3) ensuring systematic description of interventions, their content, and active ingredients; (4) conducting process evaluations; and (5) assessing cost-effectiveness. These areas are an essential prerequisite for translation of self-management interventions from research into routine cancer care.
A Bifunctional-Modulated Conformal Li/Mn-Rich Layered Cathode for Fast-Charging, High Volumetric Density and Durable Li-Ion Full Cells
Authors: Zhao Zedong , Sun Minqiang , Wu Tianqi , Zhang Jiajia , Wang Peng , Zhang Long , Yang Chongyang , Peng Chengxin , Lu Hongbin 
Published: May 2021

AbstractLithium- and manganese-rich (LMR) layered cathode materials hold the great promise in designing the next-generation high energy density lithium ion batteries. However, due to the severe surface phase transformation and structure collapse, stabilizing LMR to suppress capacity fade has been a critical challenge. Here, a bifunctional strategy that integrates the advantages of surface modification and structural design is proposed to address the above issues. A model compound Li1.2Mn0.54Ni0.13Co0.13O2 (MNC) with semi-hollow microsphere structure is synthesized, of which the surface is modified by surface-treated layer and graphene/carbon nanotube dual layers. The unique structure design enabled high tap density (2.1 g cm−3) and bidirectional ion diffusion pathways. The dual surface coatings covalent bonded with MNC via C-O-M linkage greatly improves charge transfer efficiency and mitigates electrode degradation. Owing to the synergistic effect, the obtained MNC cathode is highly conformal with durable structure integrity, exhibiting high volumetric energy density (2234 Wh L−1) and predominant capacitive behavior. The assembled full cell, with nanographite as the anode, reveals an energy density of 526.5 Wh kg−1, good rate performance (70.3% retention at 20 C) and long cycle life (1000 cycles). The strategy presented in this work may shed light on designing other high-performance energy devices.
Trajectories through temporal networks
Authors: Mattsson Carolina E. S. , Takes Frank W. 
Published: May 2021

AbstractWhat do football passes and financial transactions have in common? Both are networked walk processes that we can observe, where records take the form of timestamped events that move something tangible from one node to another. Here we propose an approach to analyze this type of data that extracts the actual trajectories taken by the tangible items involved. The main advantage of analyzing the resulting trajectories compared to using, e.g., existing temporal network analysis techniques, is that sequential, temporal, and domain-specific aspects of the process are respected and retained. As a result, the approach lets us produce contextually-relevant insights. Demonstrating the usefulness of this technique, we consider passing play within association football matches (an unweighted process) and e-money transacted within a mobile money system (a weighted process). Proponents and providers of mobile money care to know how these systems are used—using trajectory extraction we find that 73% of e-money was used for stand-alone tasks and only 21.7% of account holders built up substantial savings at some point during a 6-month period. Coaches of football teams and sports analysts are interested in strategies of play that are advantageous. Trajectory extraction allows us to replicate classic results from sports science on data from the 2018 FIFA World Cup. Moreover, we are able to distinguish teams that consistently exhibited complex, multi-player dynamics of play during the 2017–2018 club season using ball passing trajectories, coincidentally identifying the winners of the five most competitive first-tier domestic leagues in Europe.
Intelligent warehouse monitoring based on distributed system and edge computing
Authors: Lin Sen , Huang Jianxin , Chen Wenzhou , Zhou Wenlong , Xu Jinhong , Liu Yong , Yao Jinqiang 
Published: May 2021

AbstractThis paper mainly focuses on the volume calculation of materials in the warehouse where sand and gravel materials are stored and monitored whether materials are lacking in real-time. Specifically, we proposed the sandpile model and the point cloud projection obtained from the LiDAR sensors to calculate the material volume. We use distributed edge computing modules to build a centralized system and transmit data remotely through a high-power wireless network, which solves sensor placement and data transmission in a complex warehouse environment. Our centralized system can also reduce worker participation in a harsh factorial environment. Furthermore, the point cloud data of the warehouse is colored to visualize the actual factorial environment. Our centralized system has been deployed in the real factorial environment and got a good performance.
Evaluation of dsRNA delivery methods for targeting macrophage migration inhibitory factor MIF in RNAi-based aphid control
Authors: Liu Shaoshuai , Ladera-Carmona Maria Jose , Poranen Minna M. , van Bel Aart J. E. , Kogel Karl-Heinz , Imani Jafargholi 
Published: May 2021

AbstractMacrophage migration inhibitory factors (MIFs) are multifunctional proteins regulating major processes in mammals, including activation of innate immune responses. In invertebrates, MIF proteins participate in the modulation of host immune responses when secreted by parasitic organisms, such as aphids. In this study, we assessed the possibility to use MIF genes as targets for RNA interference (RNAi)-based control of the grain aphid Sitobion avenae (Sa) on barley (Hordeum vulgare). When nymphs were fed on artificial diet containing double-stranded (ds)RNAs (SaMIF-dsRNAs) that target sequences of the three MIF genes SaMIF1, SaMIF2 and SaMIF3, they showed higher mortality rates and these rates correlated with reduced MIF transcript levels as compared to the aphids feeding on artificial diet containing a control dsRNA (GFP-dsRNA). Comparison of different feeding strategies showed that nymphs’ survival was not altered when they fed from barley seedlings sprayed with naked SaMIF-dsRNAs, suggesting they did not effectively take up dsRNA from the sieve tubes of these plants. Furthermore, aphids’ survival was also not affected when the nymphs fed on leaves supplied with dsRNA via basal cut ends of barley leaves. Consistent with this finding, the use of sieve tube-specific YFP-labeled Arabidopsis reporter lines confirmed that fluorescent 21 nt dsRNACy3, when supplied via petioles or spraying, co-localized with xylem structures, but not with phloem tissue. Our results suggest that MIF genes are a potential target for insect control and also imply that application of naked dsRNA to plants for aphid control is inefficient. More efforts should be put into the development of effective dsRNA formulations.
Depth perception in single rgb camera system using lens aperture and object size: a geometrical approach for depth estimation
Authors: Alphonse P. J. A. , Sriharsha K. V. 
Published: May 2021

AbstractIn recent years, with increase in concern about public safety and security, human movements or action sequences are highly valued when dealing with suspicious and criminal activities. In order to estimate the position and orientation related to human movements, depth information is needed. This is obtained by fusing data obtained from multiple cameras at different viewpoints. In practice, whenever occlusion occurs in a surveillance environment, there may be a pixel-to-pixel correspondence between two images captured from two cameras and, as a result, depth information may not be accurate. Moreover use of more than one camera exclusively adds burden to the surveillance infrastructure. In this study, we present a mathematical model for acquiring object depth information using single camera by capturing the in focused portion of an object from a single image. When camera is in-focus, with the reference to camera lens center, for a fixed focal length for each aperture setting, the object distance is varied. For each aperture reading, for the corresponding distance, the object distance (or depth) is estimated by relating the three parameters namely lens aperture radius, object distance and object size in image plane. The results show that the distance computed from the relationship approximates actual with a standard error estimate of 2.39 to 2.54, when tested on Nikon and Cannon versions with an accuracy of 98.1% at 95% confidence level.
A Canonical String Encoding for Pure Bigraphs
Authors: Grzelak Dominik , Aßmann Uwe 
Published: May 2021

AbstractThe bigraph theory, devised by Robin Milner, is a recent mathematical framework for concurrent processes. Its generality is able to subsume many existing process calculi, for example, CCS, CSP, and Petri nets. Further, it provides a uniform proof of bisimilarity, which is a congruence. We present the first canonical string encoding for pure and lean bigraphs by lifting the breadth-first canonical form of rooted unordered trees to a unique representation for bigraphs up to isomorphism (i.e., lean-support equivalence). The encoding’s applicability is limited to atomic alphabets. The time complexity is $$O(n^{2}k\, d \log {d})$$

O
(

n
2

k

d
log
d
)

, where n is the number of places, d the degree of the place graph and k the maximum arity of a bigraph’s signature. We provide proof of the correctness of our method and also conduct experimental measurements to assess the complexity.
Reconstruction in Women with T4 Breast Cancer after Neoadjuvant Chemotherapy: When Is It Safe?
Authors: Pawloski Kate R. , Barrio Andrea V. , Gemignani Mary L. , Sevilimedu Varadan , Le Tiana , Dayan Joseph , Morrow Monica , Tadros Audree B. 
Published: May 2021

BACKGROUND:
Despite limited evidence regarding its safety, immediate reconstruction (IR) is increasingly offered to women with T4 breast cancer. We compared outcomes after IR, delayed reconstruction (DR), and no reconstruction (NR) in patients treated with neoadjuvant chemotherapy (NAC) and postmastectomy radiation therapy (PMRT) for T4 disease.

STUDY DESIGN:
We retrospectively identified consecutive women with T4 tumors treated with trimodality therapy from January 2007 through December 2019. Clinicopathologic characteristics, complications requiring reoperation, time to PMRT, and recurrence patterns were compared. The cumulative incidence of local recurrence (LR) was estimated using Kaplan-Meier methods.

RESULTS:
Of the 269 women identified, the median (IQR) age was 52 (45–62) years; 164 women (61%) had T4d disease. Forty-five women (17%) had IR, 41 (15%) had DR, and 183 (68%) had NR. IR was independently associated with T4a-c disease (odds ratio [OR], 5.75; 95% CI, 2.57–12.87; p < 0.001) and younger age (OR 0.91; 95% CI, 0.86–0.94; p < 0.001). The risk of complications after IR was 22% overall and 46% in T4d patients (6/13), compared with 4.4% overall for NR and 7.3% for DR (p < 0.001). IR was associated with >8-week interval to PMRT (p < 0.001). At a median (range) follow-up of 4.2 (0.2–13) years, the median time to first recurrence was 18 months and was similar between groups (p = 0.13). The cumulative incidence of LR was 16% for T4d disease and 2.2% for T4a-c disease (p < 0.001).

CONCLUSIONS:
After IR, women with T4 tumors, particularly T4d disease, experienced delayed initiation of adjuvant treatment and substantial morbidity, suggesting that an interval of >18 months between mastectomy and reconstruction is advisable.
Mortality Rate of Patients With COVID-19 Based on Underlying Health Conditions
Authors: Choi Won-Young 
Published: May 2021

AbstractObjective:The aim of this study was to evaluate the mortality rates of 566,602 patients with coronavirus disease (COVID-19) based on sex, age, and the presence or absence of underlying diseases and determine whether the underlying disease provides prognostic information specifically related to death.Methods:The mortality rate was evaluated using conditional probability to identify the significant factors, and adjusted odds ratios (ORs) using a multivariable logistic regression analysis were estimated.Results:The mortality rate of patients with underlying health conditions was 12%, which was 4 times higher than that of patients without underlying health conditions. Furthermore, the mortality rates of women and men with underlying health conditions were 5.5 and 3.4 times higher than the mortality rates of patients without underlying health conditions, respectively. In a multivariable logistic regression analysis including sex, age, and underlying health conditions, male sex (OR: 1.83), age ≥ 41 y (ORs > 2.70), and underlying health conditions (OR: 2.20) were confirmed as risk factors for death.Conclusions:More attention should be paid to older patients with underlying diseases and male patients with underlying diseases as the probability of death in this population was significantly higher.
Holomorphic anomaly equation for and the Nekrasov-Shatashvili limit of local
Authors: Bousseau Pierrick , Fan Honglu , Guo Shuai , Wu Longting 
Published: May 2021

AbstractWe prove a higher genus version of the genus$0$local-relative correspondence of van Garrel-Graber-Ruddat: for$(X,D)$a pair withXa smooth projective variety andDa nef smooth divisor, maximal contact Gromov-Witten theory of$(X,D)$with$\lambda _g$-insertion is related to Gromov-Witten theory of the total space of${\mathcal O}_X(-D)$and local Gromov-Witten theory ofD.Specializing to$(X,D)=(S,E)$forSa del Pezzo surface or a rational elliptic surface andEa smooth anticanonical divisor, we show that maximal contact Gromov-Witten theory of$(S,E)$is determined by the Gromov-Witten theory of the Calabi-Yau 3-fold${\mathcal O}_S(-E)$and the stationary Gromov-Witten theory of the elliptic curveE.Specializing further to$S={\mathbb P}^2$, we prove that higher genus generating series of maximal contact Gromov-Witten invariants of$({\mathbb P}^2,E)$are quasimodular and satisfy a holomorphic anomaly equation. The proof combines the quasimodularity results and the holomorphic anomaly equations previously known for local${\mathbb P}^2$and the elliptic curve.Furthermore, using the connection between maximal contact Gromov-Witten invariants of$({\mathbb P}^2,E)$and Betti numbers of moduli spaces of semistable one-dimensional sheaves on${\mathbb P}^2$, we obtain a proof of the quasimodularity and holomorphic anomaly equation predicted in the physics literature for the refined topological string free energy of local${\mathbb P}^2$in the Nekrasov-Shatashvili limit.
Effect of a national policy of universal masking and uniform criteria for severe acute respiratory coronavirus virus 2 (SARS-CoV-2) exposure on hospital staff infection and quarantine
Authors: Temkin Elizabeth , Schwaber Mitchell J. , Vaturi Azza , Nadir Eyal , Zilber Rama , Barel Osnat , Pavlov Lidia , Carmeli Yehuda 
Published: May 2021

AbstractObjective:To determine the effect of 2 regulations issued by the Israel Ministry of Health on coronavirus disease 2019 (COVID-19) infections and quarantine among healthcare workers (HCWs) in general hospitals.Design:Before-and-after intervention study without a control group (interrupted time-series analysis).Setting:All 29 Israeli general hospitals.Participants:All HCWs.Interventions:Two national regulations were issued on March 25, 2020: one required universal masking of HCWs, patients, and visitors in general hospitals and the second defined what constitutes HCW exposure to severe acute respiratory coronavirus virus 2 (SARS-CoV-2) and when quarantine is required.Results:Overall, 283 HCWs were infected at work or from an unknown source. Before the intervention, the number of HCWs infected at work increased by 0.5 per day (95% confidence interval [CI], 0.2–0.7; P < .001), peaking at 16. After the intervention, new infections declined by 0.2 per day (95% CI, −0.3 to −0.1; P < .001). Before the intervention, the number of HCWs in quarantine or isolation increased by 97 per day (95% CI, 90–104; P < .001), peaking at 2,444. After the intervention, prevalence decreased by 59 per day (95% CI, −72 to −46; P < .001). Epidemiological investigations determined that the most common source of HCW infection (58%) was a coworker.Conclusions:Universal masking in general hospitals reduced the risk of hospital-acquired COVID-19 among HCWs. Universal masking combined with uniform definitions of HCW exposure and criteria for quarantine limited the absence of HCWs from the workforce.
Temperature and outgroup discrimination
Authors: Choi Donghyun Danny , Poertner Mathias , Sambanis Nicholas 
Published: May 2021

AbstractHigh temperatures have been linked to aggression and different forms of conflict in humans. We consider whether exposure to heat waves increases discriminatory behavior toward outgroups. Using data from two large-scale field experiments in Germany, we find a direct causal effect of exposure to heat shocks on discrimination in helping behavior. As temperature rises, German natives faced with a choice to provide help to strangers in every-day interactions help Muslim immigrants less than they do other German natives, while help rates toward natives are unaffected by temperature. This finding suggests that there may be a physiological basis for discriminatory behavior toward outgroups.