bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual-responsive disassembly of core-shell nanoparticles with self-supplied H2O2 and autocatalytic Fenton reaction for enhanced chemodynamic therapy
Authors: Ju Enguo , Peng Mengran , Wang Yuqin , Lv Shixian , Shao Dan , Wang Haixia , Tao Yu , Zheng Yue , Li Mingqiang 
Published: August 2022

Abstract
Chemodynamic therapy holds great potential for cancer treatment due to the reliable curative effect, minimal invasiveness, and few systemic side effects. However, the limited amount of intracellular H2O2 makes it remain challenging to achieve high performance for chemodynamic therapy. Herein, we reported dual-responsive disassembly of core-shell nanoplatform with self-supplied H2O2 and autocatalytic Fenton reaction for enhanced chemodynamic therapy. The platform was designed by coating glucose oxidase mimic nanozyme gold nanoparticles (AuNPs) with metal polyphenol network (Au@MPN). Both ATP and low pH could disassemble Au@MPN to release Fe(III), which could be reduced by the simultaneously released tannic acid (TA) into Fe (II). Especially, the exposed AuNPs could catalyze the oxidation of intracellular glucose to produce H2O2. Subsequently, the Fe(II) and self-supplied H2O2 induced efficient Fenton reaction to generate highly toxic hydroxyl radical (•OH), which revealed cytotoxicity to cancer cells through chemodynamic therapy. Besides, tumor growth can be effectively suppressed by Au@MPN through both intratumoral and intravenous administration routes. Additionally, melanoma metastatic lung cancer could be inhibited by intratracheal instillation of Au@MPN. Therefore, this work not only reports a facile method to construct a chemodynamic agent with self-supplied H2O2 and high therapeutic efficiency, but also provides insight into the design of nanoplatform with enhanced efficiency for chemodynamic therapy.
Accuracy of congenital anomaly coding in live birth children recorded in European health care databases, a EUROlinkCAT study
Authors: Bakker Marian , Loane Maria , Garne Ester , Ballardini Elisa , Cavero-Carbonell Clara , Garcia Laura , Gissler Mika , Given Joanne , Heino Anna , Jamry-Dziurla Anna , Jordan Sue , Urhoj Stine Kjaer , Latos-Bielenska Anna , Limb Elizabeth , Lutke Renee , Neville Amanda , Pierini Anna , Santoro Michele , Scanlon Ieuan , Tan Joachim , Wellesley Diana , De Walle Hermien , Morris Joan 
Published: August 2022

Abstract
Electronic health care databases are increasingly being used to investigate the epidemiology of congenital anomalies (CAs) although there are concerns about their accuracy. The EUROlinkCAT project linked data from eleven EUROCAT registries to electronic hospital databases. The coding of CAs in electronic hospital databases was compared to the (gold standard) codes in the EUROCAT registries. For birth years 2010-2014 all linked live birth CA cases and all children identified in the hospital databases with a CA code were analysed. Registries calculated sensitivity and Positive Predictive Value (PPV) for 17 selected CAs. Pooled estimates for sensitivity and PPV were then calculated for each anomaly using random effects meta-analyses.
Most registries linked more than 85% of their cases to hospital data. Gastroschisis, cleft lip with or without cleft palate and Down syndrome were recorded in hospital databases with high accuracy (sensitivity and PPV >85%). Hypoplastic left heart syndrome, spina bifida, Hirschsprung’s disease, omphalocele and cleft palate showed high sensitivity (>85%), but low or heterogeneous PPV, indicating that hospital data was complete but may contain false positives. The remaining anomaly subgroups in our study, showed low or heterogeneous sensitivity and PPV, indicating that the information in the hospital database was incomplete and of variable validity.
Electronic health care databases cannot replace CA registries, although they can be used as an additional ascertainment source for CA registries. CA registries are still the most appropriate data source to study the epidemiology of CAs.
Flood and Wind Risk Perception: A Comparative Analysis of Evacuation Behavior During Hurricane Ivan
Authors: Pavel Tanvir , Mozumder Pallab , Tahsin Subrina , Gladwin Hugh 
Published: August 2022

Abstract
Flood and wind are the major risk factors that can influence people’s evacuation behavior during a hurricane event. This paper explores the differences in hazard-specific risk perceptions (flood risk vs. wind risk) in respondent’s evacuation decision. Both risk perception and evacuation behaviors reflect complex behavioral dynamics which can be shaped by a host of factors. We analyze more than eight hundred randomly selected household responses from the states of Alabama, Louisiana, and Mississippi following Hurricane Ivan. The survey data was geocoded which allowed us to build a geo-spatial database that was integrated to the household survey data. The geo-spatial variables such as distance from shoreline, distance from evacuation route, distance from hurricane Ivan track, wind and rain exposure during hurricane Ivan, elevation of house from mean sea level are location specific variables that help us to gain a better understanding of flood risk perception (FRP) and wind risk perception (WRP) and their role in explaining evacuation behavior. Based on two sets of Bivariate Probit (BP) models, the empirical analyses suggest that FRP positively affects evacuation decision while the WRP negatively affects evacuation decision.JEL-Classification: Q54
Analysis of meteorological factors influencing the incidence of influenza in Fujian Province based on a neural network model
Authors: Yuan Yuze , Xu Xinying , Lan Meifang , Guo Jing , Yu Fanglin , Jiang Yixian , Zheng Kuicheng , He Fei , Chen Guangmin 
Published: August 2022

Abstract
Objective: This study aimed to assess and compare the predictive effects of meteorological factors on the incidence of influenza in Fujian Province, China,using four different deep learning network models.Methods: From 2016 to 2020,weekly meteorological and influenza surveillance data in Fujian Province were collected. Using four different deep learning network models, including ordinary neural network (ANN), deep neural network (DNN), recurrent neural network (RNN), and gated recurrent unit (GRU), the prediction model of the weekly average temperature, influenza lag and influenza incidence were determined, and the predictive effects from each different models were compared.Results: The incidence of influenza in Fujian Province showed obvious seasonality, with a high incidence in winter, especially from November to March, during which influenza incidence reached the highest value each year. A non-linear negative correlation between temperature and incidence of influenza was obtained. Compared with the prediction model that only considers “temperature” as a factor, the model that includes both temperature and lag had a better predictive effect. Overall, the GRU model, with three hidden layers (constructed from temperature, influenza lag of one week and two weeks), had the best prediction ability, followed by RNN, DNN, and ANN, respectively.Conclusion: Temperature and influenza incidence showed a non-linear negative correlation. Furthermore, the GRU model provides a better prediction of the influenza incidence and, therefore, can be used to develop an influenza risk early warning system based on temperature and influenza lag, to prevent the incidence and spread of influenza.
The prevalence and social determinants of Intimate partner violence and its association with children under 5 morbidity and mortality in Afghanistan; An implication for global advocacy and women’s rights
Authors: Dadras Omid 
Published: August 2022

Abstract
Background: Limited knowledge exists concerning the prevalence and drivers of IPV against Afghan women and its association with child morbidity and mortality; thus, further studies are warranted. Methods: A cross-sectional study, using the data from Afghanistan Demographic and Health Survey (ADHS) conducted in 2015. To estimate the prevalence and associated sociodemographic factors, the analysis was restricted to the women aged 15-49 years who were selected for the IPV module in ADHS 2015 (n=24070). To estimate the morbidity and mortality of children and its association with IPV, the children born in the past 5 years to married women aged 15-49 years who were selected for the IPV module were included (n=22927). The significant level was set at 0.05. Results: More than half of the Afghan women aged 15-49 years experienced IPV in the past year. Illiteracy (OR= 1.69; 95%CI: 1.19-2.39), living in rural areas (OR= 1.47; 95%CI: 1.19-1.82) being from the Pashtun, Tajik, Uzbak, and Pashai ethnic backgrounds were associated with a higher risk of IPV exposure. In general, the likelihood of child mortality within the first five years was higher among children born to mothers exposed to IPV, particularly physical and sexual even after adjustment for sociodemographic inequalities, the number of antenatal care, and marriage age. In addition, the odds of diarrhea, acute respiratory infection, and fever in the past two weeks were significantly higher among the children of victimized mothers in both adjusted and unadjusted models. Moreover, low birth weight and small birth size were more likely to be observed among the children of a mother who either experienced sexual or physical violence.Conclusion: The findings emphasized the elevated risk of morbidity and mortality among children under 5 born by mothers aged 15-49 years who were exposed to IPV in Afghanistan. A high rate of spousal violence was also observed among Afghan women driven mainly by illiteracy, particularly in rural areas. This calls for immediate action, formulating interventions and protective measures to reduce IPV against Afghan women by engaging all stakeholders. First and foremost could be incorporating IPV screening, as an important predictor of child morbidity and mortality, into maternity and child care programs in Afghanistan.
Are reactive oxygen species (ROS) the main mechanism by which copper ion treatment degrades the DNA of Mycobacterium avium subsp. paratuberculosis suspended in milk?
Authors: Villegas M , Tejeda C , Umaña R , Iranzo E C , Salgado M 
Published: August 2022

Abstract
Aim: the aim of the present study is to show what is the effect of copper ions, and ROS generated in response to oxidative stress, on the damage to MAP DNA when exposed to a copper ion challenge in cow's milk. Methods and Results: spiked milk with different MAP bacterial loads was supplemented with blocking agents. These were either the copper chelators EDTA and BCS or the reactive oxygen species (ROS) quenchers D-mannitol, gallic acid and quercetin. DNA protection, MAP viability and ROS production generated after exposure to a copper challenge were then measured. In a bacterial load of 104 cells mL-1, both copper chelators and all ROS quenchers offered significant protection to MAP DNA. In a concentration of 102 cells mL-1, only D-mannitol and a mix of quenchers significantly protected the viability of the bacteria, and only at a concentration of 106 cells mL-1 was there a lower production of ROS when supplementing milk with gallic acid, quercetin and mix of quenchers. Conclusion: based on these findings, it may be concluded that MAP DNA damage can be attributed to the combined effect of the direct copper ions and ROS generated. Nevertheless, taking into account the antioxidant environment that milk provides, the direct effect of copper could play a prominent role.
Spatial ecology to strengthen invasive snake management on islands
Authors: Maestresalas Borja , Piquet Julien C. , López-Darias Marta 
Published: August 2022

Abstract
Knowledge on invasive predator spatial ecology positively contributes to optimizing their management, especially when involving cryptic and secretive species, such as snakes. However, this information is lacking for most invasive snakes, particularly on islands, where they are known to cause severe ecological and socio-economic impacts. We focused our research on compiling spatial ecology information of the California kingsnake in Gran Canaria to directly transfer our results to strengthen management actions. We monitored 15 radio-tagged individuals once per day during 9-11 days per month from July 2020 to June 2021 to calculate the species home range and describe annual activity patterns in the invaded range. We also performed a 3 consecutive days monitoring between January and May 2021 in four different time intervals each day to account for the species diel activity during the emergence period. We detected movement in 31.68 % of all detections, with a mean of 24.20 ± 12.00 moves for all individuals during the whole monitoring period. Most frequent movements detected were shorter than 20 m—82.24 % of the movements were shorter than 100 m—with a mean distance of 62.57 ± 62.62 m in 1-2 days. AKDE 95 % contour home range was 4.27 ± 5.35 ha, and was independent on SVL and sex. We detected an extremely low value of motion variance (0.76 ± 2.62 m), with a general inactivity period from November to February, January being the less active month. Diel activity was higher during central and evening hours than during early morning and night. These results allow to more robustly planning a trapping and capture strategy of this invasive snake in Gran Canaria and will guide the daily work of the management staff. Additionally, our research highlights the importance of gathering spatial information on the target species to enhance control strategies, which can contribute to the management of secretive invasive snakes worldwide.
Tumor-derived PD-L1 + exosomes with natural inflammation tropism for psoriasis-targeted treatment
Authors: Jia Honglin , Liu Tao , Yang Qunfang , zheng Haiping , Fu Shixiang , Hong Jiahui , Zhou Zechen , Zhang Haigang , Chen Xiaohong , Sun RenShan , Shan Wenjun 
Published: August 2022

Abstract
Background: Psoriasis is a chronic and readily recurrent inflammatory skin disease. To date, there is no cure for psoriasis and significant challenges remain in developing more safe and efficacious novel targeted therapies. Psoriasis is characterized by abnormal activation of the immune system, and hyperproliferation and aberrant differentiation of keratinocytes. Psoriatic keratinocytes death is also recently recognized as a major amplifier to the initiation of inflammatory cascade. Given that both keratinocytes and immune cells express high PD-1 in psoriasis, which imply PD-1 as a potential therapeutic target for psoriasis. Here, we developed a well-structured pristimerin nanodot-loaded PD-L1 positive exosome derived from tumor cells (Pri@exo) and elucidated their targeting therapeutic effects. Results: The Pri@exo displays strong cellular uptake and intracellular retention in active CD4+ T cells and HaCaT keratinocytes, suggesting the PD-1+ cells targeting capacity of Pri@exo. Remarkably, Pri@exo significantly and safely reversed imiquimod (IMQ)-induced psoriasis in mice, indicated by reducing epidermal thickness, decreasing plaque formation, and over-activating inflammation since it targeted both CD4+ T cells and keratinocytes gathering around the lesion. The increasing inflammatory cytokine excretion of CD4+ T cells in psoriasis was suppressed by Pri@exo. Besides, Pri@exo treatment alleviated ferroptosis-related changes in psoriatic skin, thereby dampening excessive inflammation and, in turn, decreasing the abnormal proliferation of keratinocytes in psoriatic lesions. Conclusion: This tumor-derived PD-L1+ exosomes has a natural inflammatory tropism and excellent anti-inflammatory effect, and able to act as a bio-inspired nanocarrier for various therapeutic agents to optimized inflammatory disease therapy.
Towards NICE-by-Design Cybersecurity Learning Environments: A Cyber Range for SOC Teams
Authors: Karagiannis Stylianos , Magkos Emmanouil , Karavaras Eleutherios , Karnavas Antonios , Nikiforos Maria Nefeli , Ntantogian Christoforos 
Published: August 2022

Abstract

Due to the evolution of cyberattacks, the need to deploy modern cybersecurity learning environments is constantly increasing. Furthermore, the security challenges of the digital era are inevitably connected to the human factor, which urges personnel to become familiar with state-of-the-art security software for mitigating and detecting cyberattacks. Cybersecurity learning environments include, among others, virtual labs, Cyber Ranges and Capture the Flag (CTF) challenges, providing interactive digital learning environments for trainees to engage in complex cybersecurity scenarios. However, scenario design is not always governed by specific design principles, and the learning outcomes of the cybersecurity exercises are not always clearly defined. In this paper, a cybersecurity educational framework was used to guide the design of cybersecurity scenarios and a Cyber Range to host the scenarios was developed as a proof-of-concept. This work suggests that educators could use the proposed design methodology to design cybersecurity learning environments, including, but not limited to, Cyber Ranges.
Neuroadaptive cooperative control for dual-arm robots tracking with state constraints and torque optimization
Authors: Hu Heyu , Cao Ye , Cao Jianfu , Chen Lerui 
Published: August 2022

Abstract
This paper studies cooperative control for dual-arm robots with state constraints and torque optimization. Firstly, the centralized comprehensive dynamic model of the dual-arm robots with the grasped object is established in the Cartesian coordinate system, and then the motion of the system is analyzed using the property that the sum of internal forces is zero. Secondly, to deal with the state constraints, a constraint transformation function is constructed involving the system state and the constraint boundary, with which the state constraints are satisfied as long as the new transformed system states are bounded. Then, a neuro-adaptive cooperative control scheme is designed with the non-unique pseudo-inverse grasping matrix. Finally, an energy function is built and the control is determined uniquely using the torque optimality principle. The significant advantages of this paper are described as follows:(i) Different from the traditional barrier-Lyapunov function for dealing with state constraints, where the satisfaction of feasibility conditions is required, here this condition is avoided by the introduction of constraint transformation function and system transformation technology. (ii) The torque optimization eliminates the requirement for calculating the inverse of the grasping matrix with insufficient rank and the control input is determined uniquely.
Using a Patient-Centered Composite Endpoint in a Secondary Analysis of the Control of Hypertension in Pregnancy Study (CHIPS) Trial
Authors: Metcalfe Rebecca K , Harrison Mark , Singer Joel , Lewisch Mary , Lee Terry , von Dadelszen Peter , Magee Laura A. , Bansback Nick 
Published: August 2022

Abstract
BackgroundClinical trials commonly use multiple endpoints to measure the impact of an intervention. While this improves the comprehensiveness of outcomes, it can make trial results difficult to interpret. We examined the impact of integrating patient weights into a composite endpoint on interpretation of CHIPS (Control of Hypertension in Pregnancy Study) trial results. MethodsOutcome weights were extracted from a previous patient preferences study in pregnancy hypertension (N=183 women) which identified: (i) seven outcomes most important to women (taking medication, severe hypertension, pre-eclampsia, blood transfusion, Caesarean, delivery <34 weeks, and baby born smaller-than-expected), and (ii) three preference subgroup (1) ‘equal prioritizers’, 62%; (2) ‘early delivery avoiders’, 23%; and (3) ‘medication minimizers’, 14%. Outcome weights from the preference subgroups were integrated with CHIPS data for the seven outcomes identified in the preference study. A weighted composite score was derived for each participant by multiplying the preference weight for each outcome by the binary outcome if it occurred. Analyses considered equal weights and those from the preference subgroups. Mean composite scores were compared between trial arms (t-tests). ResultsComposite scores were similar between trial arms with use of equal weights or those of Subgroup (1) (95% confidence intervals [CIs]: -0.03, 0.02; and p>0.50 for each). ‘Tight’ control was superior when using Subgroup (2) weights (95% CIs: 0.002, 0.07; p=0.03), and ‘less-tight’ control superior when using Subgroup (3) weights (95% CIs: -0.11, -0.04; p<0.01).ConclusionsEvidence-based recommendations for ‘tight’ control are consistent with most women’s preferences, but for a sixth of women, ‘less-tight’ control is more preference consistent. Depending on patient preferences, a single trial may support different interventions. Future trials should specify component weights to improve interpretation.Trial Registration: NCT01192412
Accuracy, interpretability and usability study of a wireless self-guided fetal heartbeat monitor compared to cardiotocography.
Authors: Porter Paul , Zhou Huaqiong , Schneider Brooke , Choveaux Jennifer , Bear Natasha , Della Phillip , Jones Kym 
Published: August 2022

Abstract
Fetal Cardiography is usually performed using in-hospital Cardiotocographic (CTG) devices to assess fetal wellbeing. New technologies may permit home-based, self-administered examinations. We compared the accuracy, clinical interpretability, and user experience of a patient-administered, wireless, fetal heartbeat monitor (HBM) designed for home use, to CTG. Initially, participants had paired HBM and CTG examinations performed in the clinic. Women then used the HBM unsupervised and rated the experience.Sixty-three women had paired clinic-based HBM and CTG recordings, providing 6,982 fetal heart rate comparison points. The accuracy of the HBM was excellent, with limits of agreement (95%) for mean fetal heart rate (FHR) between 0.72 and -1.78 beats per minute. The FHR was detected on all occasions and confirmed to be different from the maternal heart rate. Both methods were equally interpretable by Obstetricians, and had similar signal loss ratios.Thirty-four (100%) women successfully detected the FHR and obtained clinically useful cardiographic data using the device at home unsupervised. They achieved the required length of recording required for non-stress test analysis. The monitor ranked in the 96-100th percentile for usability and learnability.The HBM is as accurate as gold-standard CTG, and provides equivalent clinical information enabling use in non-stress test analyses conducted outside of hospitals. It is usable by expectant mothers with minimal training.