bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Implementation of Memory Assistant Based on Ebbinghaus Forgetting Curve
Authors: Huang Yanbiao , Fu Bo , Lai Yujing , Yao Yujie 
Published: March 2021

Abstract
In view of the single stereotype of memorizing knowledge points with the help of traditional books and easy to distract attention in the process of memorizing with the help of mobile phones and computers, a mobile handheld device, memory assistant, is designed and developed based on Ebbinghaus forgetting law curve, embedded software and hardware development technology, and memory list cycle pushing intelligent algorithm designed by forgetting curve law as the core. The experiment shows that the device is convenient and flexible like electronic devices such as mobile phones and computers, and also has the characteristics of high efficiency and concentration of book memorizing, at the same time, scientific and reasonable learning plan can effectively improve the efficiency of users’ Recitation and memory.
The Impact of Environmental Regulation on the Innovation and Diffusion of Low-Carbon Technology in Energy Sector
Authors: Wang Dong , Huang Lei , Sun Zijun , Zhou Wenyu , Wang Weidong 
Published: March 2021

Abstract
The issue of climate change caused by GHG is increasingly serious. As the main emission source, the energy sector has promising potential for emission reduction. In the context of low-carbon technology transition in China’s energy sector, this paper uses panel data of 30 provinces from 2000 to 2017, totally 297,721 patent data, and empirically examines how environmental regulation affects regional energy low-carbon technology innovation and diffusion under the framework of the "Porter Hypothesis". In addition, regional heterogeneity is also considered and the sub-samples of eastern, central and western regions were studied separately. The conclusions show significant heterogeneity in regions. The eastern region, which is less dependent on industries with high emissions and energy consumption, environmental regulation does not affect the innovation and diffusion of low-carbon technology in the energy sector. With the increasing intensity of environmental regulation, only the diffusion of low-carbon technology in the central region has been significantly improved, indicating that this region mainly adopts the introduction and learning of existing low-carbon technologies to meet the demand of emission reduction. Under the circumstances of high risk, uncertainty, sunk cost and opportunity cost brought by low-carbon energy technology, covered companies in western region are more inclined to relocate limited resources to schemes rather than low-carbon innovation.
Research on the Ecological Performance Index System of Automobile Products Based on End-of-Life Vehicle
Authors: Hou Meng 
Published: March 2021

Abstract
Automotive hazardous substances and recyclables (ELV) are important indicators of the ecological design of automotive products. With the acceleration of the green transformation and upgrading of the automotive industry, the ELV performance of automotive products has gradually attracted the attention of enterprises. How to evaluate the pros and cons of ELV performance of automotive products has become a common problem facing the industry. This article is mainly for passenger car products, focusing on the ELV performance evaluation method of the whole vehicle, aiming to build a more systematic ELV evaluation index system to measure the pros and cons of the automotive eco-design level, and guide the automotive companies to achieve ELV performance and product front-end design Fusion. Some exploratory researches in this article hope to provide useful reference for the evaluation of the ecological design level of automotive products.
The Architecture and Development of Intelligent Traffic Signal Control Platform
Authors: Wang Zhao , Pan Yawen , Wang Mengjie 
Published: March 2021

Abstract
The project used intelligent video analysis, traffic big data information processing and analysis technology to accurately grasp the traffic demand of urban traffic. The platform developed by this project could be combined with the vehicle level to adjust and optimize the traffic signal timing scheme in real time, which could improve road utilization of cities. This platform could use the big data analysis technology to predict future traffic situation based on historical traffic conditions and develop a best timing plan in advance. Under the existing road network conditions, the basis of this project was to rationally organize and plan traffic flow, improve road traffic management facilities, and strengthen and enhance the modern traffic awareness of traffic participants. The goal of the platform was to provide order, smooth, safe and traffic management services, it also aims at rapid response, and decision-making in the field of intelligent transportation.
Study on the relationship between water resources utilization and economic development based on decoupling theory in Beijing
Authors: Tao Aixiang 
Published: March 2021

Abstract
Since the Chinese government put forward the strategy of ecological civilization, China’s ecological environment has been significantly improved. At present, in some places, there is a phenomenon that the ecological environment and economic development are not coordinated. Taking Beijing as an example, this paper uses decoupling theory to study the relationship between water resources use level and economic development in Beijing. The results show that the relationship between water resources use and economic development has been obviously decoupled in Beijing. Beijing government can make further efforts in increasing investment in education, improving the level of investment in science and technology, so as to promote the coordination of water resources utilization and economic development.
Is acupuncture effective in the treatment of COVID-19 related symptoms? Based on bioinformatics/network topology strategy
Authors: Han Zhenzhen , Zhang Yang , Wang Pengqian , Tang Qilin , Zhang Kai 
Published: March 2021

AbstractAcupuncture is an important part of Chinese medicine that has been widely used in the treatment of inflammatory diseases. During the coronavirus disease 2019 (COVID-19) epidemic, acupuncture has been used as a complementary treatment for COVID-19 in China. However, the underlying mechanism of acupuncture treatment of COVID-19 remains unclear. Based on bioinformatics/topology, this paper systematically revealed the multi-target mechanisms of acupuncture therapy for COVID-19 through text mining, bioinformatics, network topology, etc. Two active compounds produced after acupuncture and 180 protein targets were identified. A total of 522 Gene Ontology terms related to acupuncture for COVID-19 were identified, and 61 pathways were screened based on the Kyoto Encyclopedia of Genes and Genomes. Our findings suggested that acupuncture treatment of COVID-19 was associated with suppression of inflammatory stress, improving immunity and regulating nervous system function, including activation of neuroactive ligand–receptor interaction, calcium signaling pathway, cancer pathway, viral carcinogenesis, Staphylococcus aureus infection, etc. The study also found that acupuncture may have additional benefits for COVID-19 patients with cancer, cardiovascular disease and obesity. Our study revealed for the first time the multiple synergistic mechanisms of acupuncture on COVID-19. Acupuncture may play an active role in the treatment of COVID-19 and deserves further promotion and application. These results may help to solve this pressing problem currently facing the world.
SMMPPI: a machine learning-based approach for prediction of modulators of protein–protein interactions and its application for identification of novel inhibitors for RBD:hACE2 interactions in SARS-CoV-2
Authors: Gupta Priya , Mohanty Debasisa 
Published: March 2021

Abstract
Small molecule modulators of protein–protein interactions (PPIs) are being pursued as novel anticancer, antiviral and antimicrobial drug candidates. We have utilized a large data set of experimentally validated PPI modulators and developed machine learning classifiers for prediction of new small molecule modulators of PPI. Our analysis reveals that using random forest (RF) classifier, general PPI Modulators independent of PPI family can be predicted with ROC-AUC higher than 0.9, when training and test sets are generated by random split. The performance of the classifier on data sets very different from those used in training has also been estimated by using different state of the art protocols for removing various types of bias in division of data into training and test sets. The family-specific PPIM predictors developed in this work for 11 clinically important PPI families also have prediction accuracies of above 90% in majority of the cases. All these ML-based predictors have been implemented in a freely available software named SMMPPI for prediction of small molecule modulators for clinically relevant PPIs like RBD:hACE2, Bromodomain_Histone, BCL2-Like_BAX/BAK, LEDGF_IN, LFA_ICAM, MDM2-Like_P53, RAS_SOS1, XIAP_Smac, WDR5_MLL1, KEAP1_NRF2 and CD4_gp120. We have identified novel chemical scaffolds as inhibitors for RBD_hACE PPI involved in host cell entry of SARS-CoV-2. Docking studies for some of the compounds reveal that they can inhibit RBD_hACE2 interaction by high affinity binding to interaction hotspots on RBD. Some of these new scaffolds have also been found in SARS-CoV-2 viral growth inhibitors reported recently; however, it is not known if these molecules inhibit the entry phase.
Ovarian follicles are resistant to monocyte perturbations—implications for ovarian health with immune disruption
Authors: Sominsky Luba , Younesi Simin , De Luca Simone N , Loone Sophie M , Quinn Kylie M , Spencer Sarah J 
Published: March 2021

AbstractMonocytes and macrophages are the most abundant immune cell populations in the adult ovary, with well-known roles in ovulation and corpus luteum formation and regression. They are activated and proliferate in response to immune challenge and are suppressed by anti-inflammatory treatments. It is also likely they have a functional role in the healthy ovary in supporting the maturing follicle from the primordial through to the later stages; however, this role has been unexplored until now. Here, we utilized a Cx3cr1-Dtr transgenic Wistar rat model that allows a conditional depletion of circulating monocytes, to investigate their role in ovarian follicle health. Our findings show that circulating monocyte depletion leads to a significant depletion of ovarian monocytes and monocyte-derived macrophages. Depletion of monocytes was associated with a transient reduction in circulating anti-Müllerian hormone (AMH) at 5 days postdepletion. However, the 50–60% ovarian monocyte/macrophage depletion had no effect on ovarian follicle numbers, follicle atresia, or apoptosis, within 5–21 days postdepletion. These data reveal that the healthy adult ovary is remarkably resistant to perturbations of circulating and ovarian monocytes despite acute changes in AMH. These data suggest that short-term anti-inflammatory therapies that transiently impact on circulating monocytes are unlikely to disrupt ovarian follicle health, findings that have significant implications for fertility planning relative to the experience of an immune challenge or immunosuppression.
Reinfection Rates Among Patients Who Previously Tested Positive for Coronavirus Disease 2019: A Retrospective Cohort Study
Authors: Sheehan Megan M , Reddy Anita J , Rothberg Michael B 
Published: March 2021

Abstract

Background
Protection afforded from prior disease among patients with coronavirus disease 2019 (COVID-19) infection is unknown. If infection provides substantial long-lasting immunity, it may be appropriate to reconsider vaccination distribution.

Methods
This retrospective cohort study of 1 health system included 150 325 patients tested for COVID-19 infection via polymerase chain reaction from 12 March 2020 to 30 August 2020. Testing performed up to 24 February 2021 in these patients was included. The main outcome was reinfection, defined as infection ≥90 days after initial testing. Secondary outcomes were symptomatic infection and protection of prior infection against reinfection.

Results
Of 150 325 patients, 8845 (5.9%) tested positive and 141 480 (94.1%) tested negative before 30 August. A total of 1278 (14.4%) positive patients were retested after 90 days, and 62 had possible reinfection. Of those, 31 (50%) were symptomatic. Of those with initial negative testing, 5449 (3.9%) were subsequently positive and 3191 of those (58.5%) were symptomatic. Protection offered from prior infection was 81.8% (95% confidence interval [CI], 76.6–85.8) and against symptomatic infection was 84.5% (95% CI, 77.9–89.1). This protection increased over time.

Conclusions
Prior infection in patients with COVID-19 was highly protective against reinfection and symptomatic disease. This protection increased over time, suggesting that viral shedding or ongoing immune response may persist beyond 90 days and may not represent true reinfection. As vaccine supply is limited, patients with known history of COVID-19 could delay early vaccination to allow for the most vulnerable to access the vaccine and slow transmission.
The friendship paradox in real and model networks
Authors: Cantwell George T , Kirkley Alec , Newman M E J 
Published: March 2021

AbstractThe friendship paradox is the observation that the degrees of the neighbours of a node in any network will, on average, be greater than the degree of the node itself. In common parlance, your friends have more friends than you do. In this article, we develop the mathematical theory of the friendship paradox, both in general as well as for specific model networks, focusing not only on average behaviour but also on variation about the average and using generating function methods to calculate full distributions of quantities of interest. We compare the predictions of our theory with measurements on a large number of real-world network datasets and find remarkably good agreement. We also develop equivalent theory for the generalized friendship paradox, which compares characteristics of nodes other than degree to those of their neighbours.
Non-invasive peripheral vascular function, incident cardiovascular disease, and mortality in the general population
Authors: Schnabel Renate B , Magnussen Christina , Schulz Andreas , Ojeda Francisco M , Schmitt Volker H , Arnold Natalie , Sinning Christoph R , Beutel Manfred E , Schmidtmann Irene , Pfeiffer Norbert , Leuschner Anja , Lackner Karl J , Gori Tommaso , Benjamin Emelia J , Binder Harald , Wild Philipp S , Blankenberg Stefan , Münzel Thomas ,   for the Gutenberg Health Study investigators
Published: March 2021

Abstract

Aims
Evidence suggests that peripheral vascular function is related to cardiovascular disease (CVD) and mortality. We evaluated the associations of non-invasive measures of flow-mediated dilatation and peripheral arterial tonometry with incident CVD and mortality.

Methods and results
In a post-hoc analysis of the community-based Gutenberg Health Study, median age 55 years (25th/75th percentile 46/65) and 49.5% women, we measured brachial artery flow-mediated dilatation (N=12 599) and fingertip peripheral arterial tonometry (N=11 125). After a follow-up of up to 11.7 years, we observed 595 incident CVD events, 106 cardiac deaths, and 860 deaths in total. Survival curves showed decreased event-free survival with higher mean brachial artery diameter and baseline pulse amplitude and better survival with higher mean flow-mediated dilatation and peripheral arterial tonometry ratio (all Plog rank &lt;0.05). In multivariable-adjusted Cox regression analyses only baseline pulse amplitude was inversely related to mortality [hazard ratio (HR) per standard deviation increase, 0.86, 95% confidence interval (95% CI), 0.79–0.94; P=0.0009]. After exclusion of individuals with prevalent CVD the association was no longer statistically significant in multivariable-adjusted models (HR 0.91, 95% CI 0.81–1.02; P=0.11). None of the vascular variables substantially increased the C-index of a model comprising clinical risk factors.

Conclusions
In our cohort, non-invasive measures of peripheral vascular structure and function did not reveal clinically relevant associations with incident CVD or mortality. Whether determination of pulse amplitude by peripheral arterial tonometry improves clinical decision-making in primary prevention needs to be demonstrated.
In vitro activity and resistance rates of topical antimicrobials fusidic acid, mupirocin and ozenoxacin against skin and soft tissue infection pathogens obtained across Canada (CANWARD 2007–18)
Authors: Zhanel George G , Adam Heather J , Baxter Melanie , Lagace-Wiens Philippe R S , Karlowsky James A 
Published: March 2021

Abstract

Background
Current antimicrobial susceptibility/resistance data versus skin and soft tissue infection (SSTI) pathogens help to guide empirical treatment using topical antimicrobials.

Objectives
To assess the in vitro activity and resistance rates of fusidic acid, mupirocin, ozenoxacin and comparator agents against pathogens isolated from patients with SSTIs in Canada.

Methods
SSTI isolates of MSSA (n = 422), MRSA (n = 283) and Streptococcus pyogenes (n = 46) obtained from CANWARD 2007–18 were tested using CLSI broth microdilution. Fusidic acid low-level resistance was defined as an MIC of ≥2 mg/L and high-level resistance as an MIC ≥512 mg/L. Mupirocin high-level resistance was defined as an MIC ≥512 mg/L and low-level resistance was an MIC of 2–256 mg/L.

Results
Low-level and high-level fusidic acid resistance in MSSA was 10.9% and 1.7%, respectively. Low-level and high-level fusidic acid resistance in MRSA was 10.6% and 3.5%, respectively. High-level mupirocin resistance was identified in 1.4% of MSSA and 14.1% of MRSA, respectively. Versus MSSA, ozenoxacin demonstrated MIC50 and MIC90 of 0.004 and 0.25 mg/L, respectively. Against MRSA, ozenoxacin inhibited all isolates at an MIC of ≤0.5 mg/L, including isolates with ciprofloxacin MICs &gt;2 mg/L, clarithromycin-resistant, clindamycin-resistant, high-level fusidic acid-resistant and high-level mupirocin-resistant isolates.

Conclusions
We conclude that fusidic acid low-level resistance exceeded 10% for both MSSA and MRSA while fusidic acid high-level resistance was ≤3.5%. Mupirocin high-level resistance exceeded 10% in MRSA. Ozenoxacin is active versus SSTI pathogens including MRSA resistant to fluoroquinolones, macrolides, clindamycin, fusidic acid and mupirocin.
Improving visual communication of discriminative accuracy for predictive models: the probability threshold plot
Authors: Johnston Stephen S , Fortin Stephen , Kalsekar Iftekhar , Reps Jenna , Coplan Paul 
Published: March 2021

Abstract

Objectives
To propose a visual display—the probability threshold plot (PTP)—that transparently communicates a predictive models’ measures of discriminative accuracy along the range of model-based predicted probabilities (Pt).

Materials and Methods
We illustrate the PTP by replicating a previously-published and validated machine learning-based model to predict antihyperglycemic medication cessation within 1–2 years following metabolic surgery. The visual characteristics of the PTPs for each model were compared to receiver operating characteristic (ROC) curves.

Results
A total of 18 887 patients were included for analysis. Whereas during testing each predictive model had nearly identical ROC curves and corresponding area under the curve values (0.672 and 0.673), the visual characteristics of the PTPs revealed substantive between-model differences in sensitivity, specificity, PPV, and NPV across the range of Pt.

Discussion and Conclusions
The PTP provides improved visual display of a predictive model’s discriminative accuracy, which can enhance the practical application of predictive models for medical decision making.
LncRNA PART1 promotes cell proliferation and inhibits apoptosis of oral squamous cell carcinoma by blocking EZH2 degradation
Authors: Yu Qiongqiong , Du Yajing , Wang Suping , Zheng Xiaofei 
Published: March 2021

Abstract
Long non-coding RNAs (lncRNAs) have been considered as novel regulators in oral squamous cell carcinoma (OSCC). Enhancer of zeste homolog 2 (EZH2) can act as an oncogene in OSCC. This study intended to investigate whether lncRNA prostatic androgen-regulated transcription 1 (PART1) can exert its role in OSCC by regulating EZH2. The expression of PART1 in OSCC samples, tumour tissues or OSCC cell lines was detected by qRT-PCR. The proliferation and apoptosis of OSCC cells were detected by CCK-8 and flow cytometry assays, respectively. The expression of PART1 and EZH2 was highly expressed in clinical OSCC tumours and cell lines. The expression level of PART1 was positively correlated to the size, clinical stage and node metastasis of OSCC patients. Functionally, PART1 knockdown inhibited proliferation and facilitated apoptosis of OSCC cells. Mechanically, fused in sarcoma/translocated in liposarcoma (FUS) interacted with PART1 and EZH2. In addition, PART1 knockdown reduced the mRNA expression of EZH2, which was offset by FUS overexpression. The overexpression of FUS abrogated the effects of PART1 silence on proliferation and apoptosis of OSCC cells. The in vivo experiment revealed that PART1 knockdown inhibited tumour growth of OSCC cells in nude mice. This study indicated that PART1 exerts a carcinogenic role in OSCC by enhancing the stability of EZH2 protein.
Effects of Dehumidification on the Survivorship of Four Psocid Species
Authors: Ocran Abena F , Opit George P , Noden Bruce H , Arthur Frank H , Kard Bradford M 
Published: March 2021

AbstractPsocids are damaging stored-product pests. In this study, eggs and early-instar nymphs, adults, and all life stages of Liposcelis entomophila, L. decolor, L. bostrychophila, and L. paeta were subjected to 43, 50, or 75% (Control) relative humidity (RH) for 2, 4, 6, 8, 10, 12, 14, or 16 d at 30.0°C. All adults of these species died within 8 d at both 43 and 50% RH, except for L. bostrychophila, which required 12 d at 50% RH for 100% mortality to occur. For all life stages and eggs and early-instar nymphs, maximum survival times (times to 100% mortality) at 43 or 50% RH for L. entomophila, L. decolor, L. bostrychophila, and L. paeta, were 8 and 10 d, 8 and 12 d, 12 and 14 d, and 12 and 16 d, respectively. During this study, numbers of nymphs and adults of all species 14 d after the RH treatments increased within the 75% RH Control arenas. Different species and life stages responded differently to 43 and 50% RH, as time to kill all stages of the four psocid species was 8–12 and 10–16 d, respectively. Results indicate that using a specific RH environment may be effective in psocid management.
CUSUM-Based Monitoring for Explosive Episodes in Financial Data in the Presence of Time-Varying Volatility
Authors: Astill Sam , Harvey David I , Leybourne Stephen J , Taylor A M Robert , Zu Yang 
Published: March 2021

Abstract
We generalize the Homm and Breitung (2012) CUSUM-based procedure for the real-time detection of explosive autoregressive episodes in financial price data to allow for time-varying volatility. Such behavior can heavily inflate the false positive rate (FPR) of the CUSUM-based procedure to spuriously signal the presence of an explosive episode. Our modified procedure involves replacing the standard variance estimate in the CUSUM statistics with a nonparametric kernel-based spot variance estimate. We show that the sequence of modified CUSUM statistics has a joint limiting null distribution which is invariant to any time-varying volatility present in the innovations and that this delivers a real-time monitoring procedure whose theoretical FPR is controlled. Simulations show that the modification is effective in controlling the empirical FPR of the procedure, yet sacrifices only a small amount of power to detect explosive episodes, relative to the standard procedure, when the shocks are homoskedastic. An empirical illustration using Bitcoin price data is provided.