bluuebunny/crossref_metadata_2025 huggingface dataset:
A Feature-Extraction-Based Lightweight Convolutional and Recurrent Neural Networks Adaptive Computing Model for Container Terminal Liner Handling Volume Forecasting
Authors: Li Bin , He Yuqing
Published: August 2021

The synergy of computational logistics and deep learning provides a new methodology and solution to the operational decisions of container terminal handling systems (CTHS) at the strategic, tactical, and executive levels. Above all, the container terminal logistics tactical operational complexity is discussed by computational logistics, and the liner handling volume (LHV) has important influences on a series of terminal scheduling decision problems. Subsequently, a feature-extraction-based lightweight convolutional and recurrent neural network adaptive computing model (FEB-LCR-ACM) is presented initially to predict the LHV by the fusion of multiple deep learning algorithms and mechanisms, especially for the specific feature extraction package of tsfresh. Consequently, the container-terminal-oriented logistics service scheduling decision support design paradigm is put forward tentatively by FEB-LCR-ACM. Finally, a typical large-scale container terminal of China is chosen to implement, execute, and evaluate the FEB-LCR-ACM based on the terminal running log around the indicator of LHV. In the case of severe vibration of LHV between 2 twenty-foot equivalent units (TEUs) and 4215 TEUs, while forecasting the LHV of 300 liners by the log of five years, the forecasting error within 100 TEUs almost accounts for 80%. When predicting the operation of 350 ships by the log of six years, the forecasting deviation within 100 TEUs reaches up to nearly 90%. The abovementioned two deep learning experimental performances with FEB-LCR-ACM are so far ahead of the forecasting results by the classical machine learning algorithm that is similar to Gaussian support vector machine. Consequently, the FEB-LCR-ACM achieves sufficiently good performance for the LHV prediction with a lightweight deep learning architecture based on the typical small datasets, and then it is supposed to overcome the operational nonlinearity, dynamics, coupling, and complexity of CTHS partially.
Blockchain-Based Internet of Things and Industrial IoT: A Comprehensive Survey
Authors: Dwivedi Sanjeev Kumar , Roy Priyadarshini , Karda Chinky , Agrawal Shalini , Amin Ruhul
Published: August 2021

Industry 4.0 connects the latest technologies such as cloud computing, Internet of things (IoT), machine learning and artificial intelligence (ML/AI), and blockchain to provide more automation in the industrial process and also bridges the gap between the physical and digital worlds through the cyber-physical system. The inherent feature of IoT devices creates the industry to smart industry (referred to as industrial IoT, i.e., IIoT) through its data-driven decision policies. However, several challenges such as decentralization, security and privacy vulnerability, single point of failure (SPOF), and trust issues exist in the IoT system. Blockchain is one of the promising technologies that can bring about opportunities for addressing the challenges of IoT systems. In this article, we have investigated the integration of IoT with blockchain technology and provided an in-depth study of the blockchain-enabled IoT and IIoT systems. The state-of-the-art research is categorized into data storage and management technique, big data and cloud computing technique (finance and data auditing), and industrial sectors (supply chain, energy, and healthcare sector). The insightful discussion based on the different categories is also presented in the paper. In particular, first, we introduce the IoT and IIoT and then discuss the need for smart contracts in IoT and IIoT systems. Next, we concentrate on the convergence of blockchain and IoT with state-of-the-art research. In addition, this article also provides the open and future research directions towards this era with the highlighted observations.
Plumbagin Enhances the Radiosensitivity of Tongue Squamous Cell Carcinoma Cells via Downregulating ATM
Authors: Pan Shu-Ting , Huang Gan , Wang Qiaohong , Qiu Jia-Xuan
Published: August 2021

This study was designed to investigate whether plumbagin (PL) could sensitize ionizing radiation (IR) in tongue squamous cell carcinoma (TSCC) cells and its possible mechanisms. Cell proliferation and combination index analysis was based on MTT and colony formation assay. Flow cytometry was applied to analyze the cell cycle distribution and apoptosis after the treatment of PL and/or IR. RT-PCR was used to examine the gene expression level of ataxia telangiegatasiata muted (ATM) and nuclear factor kappa beta (NF-

κB

) after various treatment groups. Western blot was used to examine the protein level of ATM and NF-

κB

as well as their phosphorylation level. PL enhances the cytotoxicity of IR in TSCC cells. Combination index was <1 which represents a synergistic effect. Combined PL and IR promoted G2/M arrest and apoptosis which could be reversed by ATM activator chloroquine phosphate. ATM and NF-

κB

were both inhibited by PL and IR combination. PL can efficiently enhance the radiosensitivity of TSCC cells by inducing G2/M arrest and apoptosis via downregulating ATM.
COVID-19 as Information Transmitter to Global Equity Markets: Evidence from CEEMDAN-Based Transfer Entropy Approach
Authors: Owusu Junior Peterson , Frimpong Siaw , Adam Anokye M. , Agyei Samuel K. , Gyamfi Emmanuel N. , Agyapong Daniel , Tweneboah George
Published: August 2021

This study provides an analysis of chaotic information transmission from the COVID-19 pandemic to global equity markets in a novel denoised frequency domain entropy framework. The current length of the pandemic data offers the opportunity to examine its role in the asymmetric behaviour patterns of investors according to time horizons and the diversification potentials available to them. We employ the total daily global confirmed cases of COVID-19 and 27 equity indices from December 31, 2019, to April 18, 2021. Our results corroborate the idea that diversification potentials are stronger in the short to medium term. The Global Index (higher risk) and Canada and New Zealand (lower risk) remain at both ends to pair some other equities to offer diversification prospects because of the transmission of information from COVID-19 to the selected equity markets. In addition, we provide the source of these diversification prospects as information flow rather than transmission of shocks, which is common in the literature. Furthermore, our results suggest detailed levels of risk (lower vis-à-vis higher) in the situation where they have been stripped of the noise in the market. The findings allow both investors and policymakers to make informed decisions based on the time horizons since the pandemic communicates different chaotic information with the lapse of time. This is imperative to avoid the negative consequences of the increasing infection rate on global stock markets.
[Retracted] Legal Protection of Artificial Intelligence Data and Algorithms from the Perspective of Internet of Things Resource Sharing
Authors: An Na , Wang Xiaolei
Published: August 2021

There are few laws and regulations related to privacy protection in the existing artificial intelligence data sharing environment, lack of practical operability, and low feasibility. The weakening of administrative management and industry self‐discipline also reflects my country’s current weak protection of big data privacy. In order to solve the problem of sharing artificial intelligence data and algorithms, it becomes very important to study the legal protection of artificial intelligence data and algorithms from the perspective of Internet of Things resource sharing. This article is aimed at studying the use of laws to protect artificial intelligence data and algorithms. Aiming at reducing the bullwhip effect, a most effective bullwhip effect model derivation algorithm is proposed. This method can not only share customer demand information with members at all levels in the supply chain but also achieve information sharing among members at all levels. Calculate the proportion of the overall time of the program through multiple statistical data (m = 30, k = 12; and m = 60, k = 15), and extract two special values representing the overall situation (m = 30, k = 12; m = 60, k = 15). Most of the time consumption of this program is concentrated in the secret distribution stage, accounting for about 80% on average.
Rotational Atherectomy-Assisted Crossing of a Complex Right Coronary Artery Lesion Using the Retrograde Approach
Authors: Yakubu Abdul-Subulr , Zhang Xiaoqiang , Zhang Bin
Published: August 2021

Chronic total occlusion lesions present a major challenge for the interventional cardiologist. In this case, we report the successful use of rotational atherectomy to facilitate retrograde percutaneous coronary intervention of a complex totally occluded right coronary artery after modification of the proximal cap of the lesion to enable placement of the RotaWire in the vessel architecture.
A Novel Emerging Topic Identification and Evolution Discovery Method on Time‐Evolving and Heterogeneous Online Social Networks
Authors: Xu Xiaoyan , Lv Wei , Zhang Beibei , Zhou Shuaipeng , Wei Wei , Li Yusen
Published: August 2021

With the fast development of web 2.0, information generation and propagation among online users become deeply interweaved. How to effectively and immediately discover the new emerging topic and further how to uncover its evolution law are still wide open and urgently needed by both research and practical fields. This paper proposed a novel early emerging topic detection and its evolution law identification framework based on dynamic community detection method on time‐evolving and scalable heterogeneous social networks. The framework is composed of three major steps. Firstly, a time‐evolving and scalable complex network denoted as KeyGraph is built up by deeply analyzing the text features of all kinds of data crawled from heterogeneous online social network platforms; secondly, a novel dynamic community detection method is proposed by which the new emerging topic is detected on the modeled time‐evolving and scalable KeyGraph network; thirdly, a unified directional topic propagation network modeled by a great number of short texts including microblogs and news titles is set up, and the topic evolution law of the previously detected early emerging topic is identified by fully utilizing local network variations and modularity optimization of the “time‐evolving” and directional topic propagation network. Our method is proved to yield preferable results on both a huge amount of computer‐generated test data and a great amount of real online network data crawled from mainstream heterogeneous social networks.
Asthma and COVID-19: Emphasis on Adequate Asthma Control
Authors: Nassoro David D. , Mujwahuzi Leodegard , Mwakyula Issakwisa Habakkuk , Possi Mwajabu K. , Lyantagaye Sylvester L.
Published: August 2021

Asthmatics are at an increased risk of developing exacerbations after being infected by respiratory viruses such as influenza virus, parainfluenza virus, and human and severe acute respiratory syndrome coronaviruses (SARS-CoV). Asthma, especially when poorly controlled, is an independent risk factor for developing pneumonia. A subset of asthmatics can have significant defects in their innate, humoral, and cell-mediated immunity arms, which may explain the increased susceptibility to infections. Adequate asthma control is associated with a significant decrease in episodes of exacerbation. Because of their wide availability and potency to promote adequate asthma control, glucocorticoids, especially inhaled ones, are the cornerstone of asthma management. The current COVID-19 pandemic affects millions of people worldwide and possesses mortality several times that of seasonal influenza; therefore, it is necessary to revisit this subject. The pathogenesis of SARS-CoV-2, the virus that causes COVID-19, can potentiate the development of acute asthmatic exacerbation with the potential to worsen the state of chronic airway inflammation. The relationship is evident from several studies that show asthmatics experiencing a more adverse clinical course of SARS-CoV-2 infection than nonasthmatics. Recent studies show that dexamethasone, a potent glucocorticoid, and other inhaled corticosteroids significantly reduce morbidity and mortality among hospitalized COVID-19 patients. Hence, while we are waiting for more studies with higher level of evidence that further narrate the association between COVID-19 and asthma, we advise clinicians to try to achieve adequate disease control in asthmatics as it may reduce incidences and severity of exacerbations especially from SARS-CoV-2 infection.
Research on the Fault Diagnosis Method of Mine Fan Based on Sound Signal Analysis
Authors: Song Shijie , Qiu Dandan , Qin Sunwei
Published: August 2021

The underground local fan and auxiliary fan also play a vital role in the underground air quality, compared with the system fan. However, the number of underground local fans and auxiliary fans is large and widely distributed, which is disadvantageous to adopt the same method of online monitoring and fault diagnosis method as the system fan. In order to find a new fault diagnosis method, which is cost‐effective and reliable, this paper proposes a fault diagnosis method based on sound signal. It analyzes the source of fan noise and studies the overall scheme of mine fan fault diagnosis expert system based on sound signal. The fault expert system consists of four parts: signal acquisition and noise elimination, feature extraction, state recognition, and fault diagnosis. Its principle is briefly introduced. The denoising method of wavelet is adopted in this paper. Wavelet packet is used to extract the characteristics of sound signal, and the energy size and energy proportion of each frequency component are used as the basis of knowledge acquisition and reasoning. Through the analysis of the measured signals of the fan in the normal operating state, the feature vectors were extracted as the basis for the discrimination of the normal state after noise elimination. At the same time, the audio processing software was used to simulate the sound signals in three fault states. Then, the feature vector of the fault state is extracted, which is obviously different from that of the fan in the normal operation. As the basis of fault state analysis of the expert system, it lays the foundation for the realization of the expert system of mine fan equipment running state diagnosis.
Numerical Assessment of a Safety System to Minimize Injuries during a Cyclist Run-Over
Authors: López-García E. H. , Carbajal-Romero M. F. , Flores-Campos J. A. , Torres-SanMiguel C. R.
Published: August 2021

Background. The World Health Organization has reported that 1.35 million people die on the roads every year due to road traffic accidents. This paper focuses on exploring a passive safety system that reduces lesions in the overtaking run-over scenario. Methods. Head Injury Criterion (HIC) and Combined Thoracic Index (CTI) were evaluated through numerical simulations using LS-Dyna®; in order to compare the computed results, three different speed scenarios were carried out (velocity of running over 40, 50, 60 km/h). Results. The computed results were divided into groups, A for the run-over test without a passive security system and B for the run-over test with a passive security system. For case A.1, the HIC15 was 3325. For case A.2, the HIC15 was 1510, and for case A.3, the HIC 15 was 1208. For case B.1, the HIC15 2605, for case B.2, the HIC15 was 1282, and for case B.3, the HIC was 730. Conclusion. The comparative results show that the passive safety system installed on the bicycle has an increased benefit impact on the severity of the injury on vulnerable road users, decreasing the probability of cranioencephalic lesions in all study cases. In addition, the thorax injuries are cut down only in the impact scenario at a speed of 40 km/h.
[Retracted] Effect of miR‐25 on Proliferation of Nasopharyngeal Carcinoma Cells through Wnt/β‐Catenin Signaling Pathway
Authors: He Haixia , Yuan Kun , Chen Wei
Published: August 2021

Objective. To investigate the biological role and potential mechanism of miR‐25 in nasopharyngeal carcinoma. Methods. The expression of miR‐25 in nasopharyngeal carcinoma cell lines was detected by qRT‐PCR. The effect of inhibition of miR‐25 expression on the proliferative activity of nasopharyngeal carcinoma cell line HONE‐1 was examined by CCK‐8 method. Flow cytometry was used to detect the effect of miR‐25 expression inhibition on the apoptosis rate of nasopharyngeal carcinoma cell line HONE‐1. The miRNA target gene prediction site TargetScan predicts the target protein action site of miR‐124 and verifies whether miR‐25 interacts with the target by luciferase activity assay, qPCR, and Western experiments. The miR‐25 inhibitor and target egg gene expression plasmids were cotransfected into HONE‐1 cells for rescue experiments to investigate whether miR‐25 inhibits proliferation of nasopharyngeal carcinoma cells by target genes. At the same time, qRT‐PCR was used to detect the mRNA expression levels of Wnt/β‐catenin pathway key proteins TCF4, c‐Myc, and Cyclin D1 in different transfected cells. Results. miR‐25 expression was upregulated in nasopharyngeal carcinoma cell lines. Functional studies showed that inhibition of miR‐25 expression significantly inhibited the proliferation of nasopharyngeal carcinoma cell line HONE‐1 (p < 0.05). Inhibition of miR‐25 expression by flow cytometry significantly promoted apoptosis (p < 0.05). Detection of dual luciferase activity indicated that DKK3 is a direct target site for miR‐25. Western blots showed that inhibition of miR‐25 significantly upregulated DKK3 mRNA and protein levels. Supplementation with DKK3 significantly attenuated the inhibitory effect of miR‐25 on the proliferation of nasopharyngeal carcinoma cell line HONE‐1 (p < 0.05). qRT‐PCR found that mRNA levels of TCF4, c‐Myc, and Cyclin D1 were significantly upregulated in miR‐25‐transfected cells compared to control transfection. QRT PCR showed that the mRNA and protein levels of Tcf4, c‐myc, and Cyclin D1 were significantly upregulated in miR‐25 overexpression‐transfected cells. Conclusion. Inhibition of miR‐25 expression promotes DKK3 gene expression, and inactivation of Wnt/β‐catenin signaling pathway inhibits proliferation and promotes apoptosis of nasopharyngeal carcinoma cells.
Uveal Melanoma: Refusal of Treatment
Authors: Bowen Randy Christopher , Hansell Soto , Raval Vishal , Davanzo Jacquelyn M. , Singh Arun D.
Published: August 2021

Purpose: This study aimed to explore factors for refusing treatment in patients diagnosed with uveal melanoma and their subsequent clinical course. Methods: This study included patients with uveal melanoma who refused standard of care treatment. Patient-reported reasons and pre-existing mental health diagnoses were assessed. The sociodemographic profile was compared with the controls. Ocular survival, metastasis-free survival (MFS), and overall survival (OS) were calculated. Results: Nine patients with uveal melanoma declined ocular treatment (plaque brachytherapy, n = 7 [78%]; enucleation, n = 2 [22%]). The choroidal melanomas were small (n = 1 [11%]), medium (n = 5 [56%]), and large (n = 3 [33%]) in size (COMS criteria). The sociodemographic profile of the study patients was not different from those that accepted treatment. One patient (11%) had pre-existing mental health diagnosis. Five patients (56%) eventually accepted treatment following an average delay of 19 months (range: 4–55 months) due to neovascular glaucoma or severe vision loss. MFS could not be ascertained, and OS was 67% (6/9) at 4.2 years of follow-up (mean). Conclusions: Refusal of initial recommended treatment is associated with poor ocular survival. The small sample size did not allow for an evaluation of the impact on survival.
Comparison of Perioperative Outcomes and Parental Satisfaction Outcomes of Strip Craniectomy with Postoperative Helmet versus Spring-Mediated Remodeling in Sagittal Craniosynostosis
Authors: Smith Luke G.F. , Shah Varun , Duenas Helen , Onwuka Amanda , Graver Anne E. , Governale Lance S. , Pearson Gregory D. , Drapeau Annie I.
Published: August 2021

Introduction: We sought to compare outcomes and parental satisfaction between 2 approaches for sagittal craniosynostosis: strip craniectomy with spring-mediated skull remodeling (SMSR) and strip craniectomy with postoperative helmet (SCH). Methods: Perioperative and outcome data for SMSR or SCH patients between September 2010 and July 2019 were retrospectively reviewed. A telephone survey was administered to parents of children who underwent both procedures. Results: A total of 62 children were treated for sagittal craniosynostosis by either SMSR (n = 45) or SCH (n = 17). The SCH group had a lower estimated blood loss (27 vs. 47.06 mL, p = 0.021) and age at surgery (13.0 vs. 19.8 weeks) than the SMSR group. Three patients underwent early springs removal due to trauma or dislodgement, all of whom converted to helmeting. Of the 62 children initially identified, 59 were determined to have an adequate follow-up time to assess long-term outcomes. The mean follow-up time was 30.1 months (n = 16) in the SCH group and 32.0 months in the SMSR group (n = 43, p = 0.39). Two patients in the SCH group and one in the SMSR group converted to open cranial vault reconstruction. Thirty parents agreed to respond to the satisfaction survey (8 SCH, 22 SMSR) based on a Likert scale of responses (0 being most dissatisfied possible, 4 most satisfied possible). Average satisfaction was 3.86/4.0 in the SCH group and 3.45/4.0 in the SMSR group. No parents in the SCH group would change to SMSR, while 3 of the 22 SMSR survey responders would have changed to SCH. Conclusions: Perioperative outcomes and average parental satisfaction were similar in both groups. Importance of helmet wear compliance and risk of spring dislodgement should be discussed with parents.
Efficacy and Safety of Janus Kinase Inhibitors for the Treatment of Atopic Dermatitis: A Systematic Review and Meta-Analysis
Authors: Li Chenyang , Sun Xun , Zhao Kun , Meng Fanxiang , Li Lin , Mu Zhenzhen , Han Xiuping
Published: August 2021

Background: Current therapeutic options for atopic dermatitis (AD) are limited. Janus kinase (JAK) inhibitors may be viable alternatives. Objectives: To assess the efficacy and safety of JAK inhibitors for AD treatment. Methods: We searched PubMed, Embase, the Cochrane Controlled Register of Trials, Web of Science, Global Resource of Eczema Trials database, and ClinicalTrials.gov from inception to September 1, 2020. Randomized clinical trials (RCTs) comparing JAK inhibitors with placebo/vehicle treatment for AD patients were included. The primary study outcomes included (1) the change (%) from the Eczema Area and Severity Index (EASI) baseline expressed as weighted mean difference (WMD) and 95% confidence interval (95% CI), and (2) the Investigator’s Global Assessment (IGA) response and safety outcomes expressed as relative risk (RR) and 95% CI. Results: We included 14 RCTs published in 13 studies (3,822 patients). Treatment with JAK inhibitors significantly improved IGA response (RR 2.83, 95% CI 2.25–3.56, p < 0.001) and EASI score (WMD –28.82, 95% CI –34.48 to −23.16, p < 0.001). JAK inhibitor treatment achieved the largest improvement in both IGA response (RR 3.59, 95% CI 2.66–4.84, p < 0.001) and EASI score (WMD –42.00, 95% CI –48.64 to −35.36, p < 0.001) by week 4 of treatment. Topical JAK inhibitors were significantly more efficacious than oral inhibitors. Upadacitinib treatment for 4 weeks was most effective in reducing EASI score (WMD –53.92, 95% CI –69.26 to −38.58, p < 0.001), while abrocitinib for 4 weeks led to the most effective IGA response (RR 5.47, 95% CI 2.74–10.93, p < 0.001). There was no difference in the frequency of adverse events (AEs) leading to discontinuation; however, JAK inhibitors use, especially abrocitinib, led to a higher incidence of treatment-emergent AEs (RR 1.25, 95% CI 1.10–1.42, p = 0.001). Conclusion: Our results imply that JAK inhibitors are an effective and safe AD treatment. Nevertheless, further trials with longer duration and head-to-head comparisons of different JAK inhibitors are needed.
New and little-known Eugryllacris from Yunnan, China (Orthoptera: Gryllacrididae: Gryllacridinae)
Authors: YIN ZI-XU , SHEN SI-ZHONG
Published: August 2021

Eugryllacris species from Yunnan, China were investigated from 2018~2021. A new species, Eugryllacris tiga sp. nov. is described from China. The male morphology and ecology of E. cf. vaginalis Pictet & Saussure, 1893 and E. guomashan Ingrisch, 2018 are illustrated for the first time. The type species are deposited in Museum of Biology, East China Normal University (ECNU).
New data on the wolf spiders from the Acantholycosa-complex (Araneae: Lycosidae) from the South Siberia
Authors: FOMICHEV ALEXANDER A.
Published: August 2021

Four new species belonging to the Acantholycosa-complex from South Siberia (Russia and East Kazakhstan) are diagnosed, described and illustrated: Acantholycosa kulikovi sp. n. (♀, Kazakhstan), A. sergeevi sp. n. (♂, Russia), A. sidorovi sp. n. (♂♀, Russia) and Mongolicosa lizae sp. n. (♂♀, Russia). Previously unknown females of Acantholycosa levinae Marusik, Azarkina & Koponen, 2004 and A. sayanensis Marusik, Azarkina & Koponen, 2004 are described for the first time.
Megalota festuca Pinkaew and Muadsub (Lepidoptera: Tortricidae: Olethreutinae), a new species from Thailand
Authors: PINKAEW NANTASAK , MUADSUB SOPITA
Published: August 2021

Megalota festuca sp. nov. is described as new to science. Illustrations of adults and genitalia are provided. This new taxon increases the number of described Megalota species to 48 worldwide and to 3 in Thailand. A key to Megalota species in Thailand is also provided.
Brain-Derived Neurotrophic Factor Systemic Response in the Periodontium, Trigeminal Nucleus Caudalis, and Hippocampus Induced by Occlusal Trauma
Authors: Liu Di , Li Ying , Liu Jiechen , Shen Zhiyuan , Wang Fengying , Li Qing
Published: August 2021

Occlusal trauma (OT), by causing periodontal tissue damage, can activate and enhance the activity of the peripheral and central nervous system (CNS) neuropeptides. The brain-derived neurotrophic factor (BDNF) gene is activity-dependent and exhibits marked alterations, characterized by protection against injury and repair. Our results show the possible molecular mechanism through which noxious environmental stimuli induce alterations in BDNF activity in the local periodontal tissue, the primary sensory neurons-Vc, and the hippocampus, suggesting systemic impairment. BDNF serves a more positive and enduring trauma protection and repair function in Vc compared to that in local dental tissue.
Activable Nanoparticle for Tumor Aggressiveness and Drug Resistance Prediction by Glutathione Heterogeneous Imaging
Authors: Wang Yaqin , Shang Wenting , Xiong Jianping , Liu Yu , Luo Ting , Qi Xun , Niu Meng , Xu Ke
Published: August 2021

Studies have shown that a higher GSH level is related to more drug-resistant and invasiveness of a tumor. However, it is a great challenge to accurately imaging the GSH level in vivo, for its imaging intensity will interfered by different accumulation of probes in the tumor.
Thus, we hypothesized ratiometric photoacoustic imaging that can be used to predict the drug-resistant and invasiveness of tumors by accurate GSH level imaging. In this study, we synthesized MnO2/Indocyanine Green (MnO2/ICG). It can be used as ratiometric photoacoustic
(PA) imaging probe, for its absorption at 780 nm (Ab780) can be decreased and 680 nm (Ab680) remain unchanged upon GSH reduction. And our results confirmed that a lower PA absorption ratio (Ab780/Ab680) corresponded to a higher GSH level of the tumor.
Besides, the near-infrared fluorescence (FI) imaging was used as an assistant, for it can be quenched upon GSH. Therefore, MnO2/ICG can predict the tumor invasiveness and drug resistance by imaging the GSH level. This study provides reference to predict the prognosis of tumors by
imaging the metabolic biomarker of tumors.
Australian guidelines for the prevention and treatment of posttraumatic stress disorder: Updates in the third edition
Authors: Phelps Andrea J , Lethbridge Ros , Brennan Sue , Bryant Richard A , Burns Penelope , Cooper John A , Forbes David , Gardiner Joanne , Gee Graham , Jones Kim , Kenardy Justin , Kulkarni Jayashri , McDermott Brett , McFarlane Alexander C , Newman Louise , Varker Tracey , Worth Carolyn , Silove Derrick
Published: August 2021

Objective:

This paper describes the development of the third edition of the National Health and Medical Research Australian Guidelines for the Prevention and Treatment of Acute Stress Disorder, posttraumatic stress disorder and Complex posttraumatic stress disorder, highlighting key changes in scope, methodology, format and treatment recommendations from the previous 2013 edition of the Guidelines.

Method:

Systematic review of the international research was undertaken, with GRADE methodology used to assess the certainty of the evidence, and evidence to decision frameworks used to generate recommendations. The Guidelines are presented in an online format using MAGICApp.

Results:

Key changes since the publication of the 2013 Guidelines include a new conditional recommendation for Child and Family Traumatic Stress Intervention for children and adolescents with symptoms within the first 3 months of trauma, and a strong recommendation for trauma-focused cognitive behaviour therapy for the child alone or with a caregiver, for those with diagnosed posttraumatic stress disorder. For adults with posttraumatic stress disorder, strong recommendations are made for specific types of trauma-focused cognitive behaviour therapy and conditional recommendations are made for five additional psychological interventions. Where medication is indicated for adults with posttraumatic stress disorder, venlafaxine is now conditionally recommended alongside sertraline, paroxetine or fluoxetine.

Conclusion:

These Guidelines, based on systematic review of the international literature, are intended to guide decision making for practitioners, service planners, funders and those seeking treatment for trauma related mental health concerns. For an Australian Guideline, a critical limitation is the absence of research on the treatment of Australian Aboriginal and Torres Strait Islander peoples. The new online format of the Australian posttraumatic stress disorder Guidelines means that they can be updated as sufficient new evidence becomes available.
What does it Take to Scale up and Sustain Evidence-Based Practices?
Authors: Klingner Janette K. , Boardman Alison G. , Mcmaster Kristen L.
Published: August 2021

This article discusses the strategic scaling up of evidence-based practices. The authors draw from the scholarly work of fellow special education researchers and from the field of learning sciences. The article defines scaling up as the process by which researchers or educators initially implement interventions on a small scale, validate them, and then implement them more widely in real-world conditions. Examples of scale-up research are included. The authors discuss challenges to scaling up and sustaining evidence-based practices, followed by factors that can potentially support scaling up, including professional development and district leadership. A case example describes how these issues can play out by highlighting experiences with a Collaborative Strategic Reading (CSR) scale-up research project in a large urban school district. The article concludes by offering recommendations for research, policy, and practice.
Statewide Implementation of Evidence-Based Programs
Authors: Fixsen Dean , Blase Karen , Metz Allison , Van Dyke Melissa
Published: August 2021

Evidence-based programs will be useful to the extent they produce benefits to individuals on a socially significant scale. It appears the combination of effective programs and effective implementation methods is required to assure consistent uses of programs and reliable benefits to children and families. To date, focus has been placed primarily on generating evidence and determining degrees of rigor required to qualify practices and programs as “evidence-based.” To be useful to society, the focus needs to shift to defining “programs” and to developing state-level infrastructures for statewide implementation of evidence-based programs and other innovations in human services. In this article, the authors explicate a framework for accomplishing these goals and discuss examples of the framework in use.
Parametric sensitivity research of interference-fit bolted single-lap laminates joint based on an improved analytical stiffness model
Authors: Yang Yuan , Zou Peng , Dai Xilin , Yang Bo , Gao Feng
Published: August 2021

Because of the excellent static and fatigue performance, the interference-fit bolted structure has a wide application prospect in the joint field. In this paper, an improved spring-mass stiffness analytical prediction model is established for the interference-fit bolted single-lap laminated composite structure. The influences of interference-fit percentage, bolt preload, secondary bending and interface frictions are considered in the model. Combined with experimental research, the value of secondary bending moment coefficient ε is studied, and the correctness of the analytical model is verified. Based on the improved stiffness model, parametric research and regression analysis on the interference-fit percentage, preload, friction, laminate width and material properties are carried out and show that the overall structure stiffness is obviously affected by ε value, laminate width and laminates properties. The stiffness decreases with the increase of ε and increases with the increase of laminate width. And as the key factors, the interference-fit percentage mainly affects the joint local friction and bolt shear stiffness, the preload and friction coefficient mainly affect the local friction, and the laminates sizes and properties directly affect the overall structural stiffness.
Prepare or Resist? Cold War Civil Defence and Imaginaries of Nuclear War in Britain and Denmark in the 1980s
Authors: Farbøl Rosanna
Published: August 2021

The article explores how the global Cold War conflict was made sense of and situated in local political, cultural and physical landscapes and communities during the 1980s in Britain and Denmark. Using civil defence as a prism, the article employs a comparative approach to explore variations within and between countries of how local authorities prepared or resisted the prospect of nuclear war. The article finds that two main imaginaries emerged that shaped shared understandings of society before, during and after the imagined future war: one emphasized the possibility of nuclear survival and even welfare, the other urged resistance and renounced the futility of civil defence preparations. The article argues that local actors used these imaginaries to empower themselves, to define how nuclear space was imagined and lived and to construct desirable (and undesirable) visions of the future. The imaginaries were multiscalar and interacted with developments at global and national levels, and the article sheds light on this three-way dynamic of understanding and articulating the nuclear age.
Structure modeling in three-dimensional simulation of weft-knitted seamless kneepads
Authors: Shen Yingle , Dong Zhijia , Cong Honglian
Published: August 2021

This paper proposes a simulation method suitable for weft-knitted seamless kneepads. The purpose of this study is to realize the simulation of complete weft-knitted products, and it has the advantage of speed to display the simulation results online in real-time. The loop of the basic loop model is controlled by up to eight characteristic points and the yarn path is fitted by a three-dimensional spline curve. To string the loop model into the fabric, the coordinate of the characteristic point of the loop at other positions is obtained based on the loop model at the origin by using the translation matrix and the rotation matrix. The simulation of the weft-knitted kneepad is realized by the joint programming of Visual Studio and WebGL. The results show that the structure model can achieve the simulation of the kneepad with high efficiency. This method has strong real-time performance and practicability.
Colonial Ideologies, Narratives, and Popular Perceptions of Ethno-racial Otherness in the Dynamics of Urban Exclusion: Debates and Evidence from Mexico, Colombia, Chile, and Argentina
Authors: Ruiz-Tagle Javier , Aguilera Carolina
Published: August 2021

Although ethnic differentiations began with colonialism, racism was not widely addressed in Latin American social sciences until recently, since class perspectives were predominant. Within this, studies on residential segregation and urban exclusion have ignored race and ethnicity, with the exceptions of Brazil and Colombia. However, these issues have recently become crucial because of the adoption of multiculturalism, the impact of postcolonialism and postmodernism, the emergence of black and indigenous social movements, changes in state policy, and new trends in migration. A review of debates and evidence from Mexico, Colombia, Chile, and Argentina shows that persistent colonial ideologies, narratives, and popular perceptions of ethno-racial denial sustain various kinds of urban exclusion in the region. The evidence calls for a new research agenda to decolonize urban studies that adopts a critical perspective on the coloniality of power.

Aunque las diferenciaciones étnicas comenzaron con el colonialismo, el racismo no se abordó ampliamente en las ciencias sociales latinoamericanas hasta hace poco, ya que predominaban las perspectivas de clase. Los estudios sobre la segregación residencial y la exclusión urbana han ignorado la raza y el origen étnico, con excepción de Brasil y Colombia. Sin embargo, estas cuestiones se han vuelto cruciales recientemente debido a la adopción del multiculturalismo, el impacto del poscolonialismo y el posmodernismo, la aparición de movimientos sociales negros e indígenas, los cambios en la política estatal y nuevas tendencias en la migración. Una revisión de los debates y evidencia en México, Colombia, Chile y Argentina muestra que las ideologías coloniales persistentes, las narrativas y las percepciones populares de la negación etnoracial sostienen varios tipos de exclusión urbana en la región. La evidencia exige una nueva agenda de investigación para descolonizar los estudios urbanos y adoptar una perspectiva crítica sobre la colonialidad del poder.
Three-dimensional architectures composed of two-dimensional atomic layer molybdenum disulphide for solar cell and self-powered photodetectors with improved performance
Authors: Aldalbahi Ali , Ahamad Tansir , Alshehri Saad M , Wang Zhen-Bo , Feng Peter X.
Published: August 2021

Research in the physical sciences is critical to the development of new materials technologies for clean energy. Aims in the present work are to synthesise and characterise three-dimensional architectures composed of two-dimensional atomic layer molybdenum disulphide for solar cells and self-powered photodetectors with improved performance. Nanostructured molybdenum disulphide was prepared by using a spin coating method with controlled process times. Prior to each deposition, the layer was dried with hot air for 5 min. A rough, irregular and clustered surface type was generated when the number of spin coating runs was increased. This type of surface was consistent with the morphologies expected for two-dimensional atomic layer molybdenum disulphide in three-dimensional architectures. The nanoscale morphologies, composites, and electronic properties of molybdenum disulphide were examined using scanning electron microscopy, energy-dispersive X-ray spectroscopy, and micro-Raman scattering spectroscopy, respectively. Moreover, three-dimensional architecture-based prototypes for solar cells and self-powered photodetectors were designed, fabricated and tested. In photovoltaic mode, the obtained responsivity and response speed were almost 10 times larger and 20 times faster, respectively, than those recently reported for a single monolayer molybdenum disulphide-based self-powered prototype. In addition, the effects of bias, heat, humidity and a static field on the generated photocurrent and the response time were evaluated. It is expected that the newly designed prototype will exhibit exceptional properties: a broadband spectral response, a high signal-to-noise ratio and excellent stability.
A Case of Melkersson-Rosenthal Syndrome Treated With 5-FU
Authors: Alessi David M. , Azhdam Ariel M. , Borrelli Michela
Published: August 2021

The rarity of Melkersson-Rosenthal syndrome, or orofacial granulomatosis, can present with persistent midface bogginess. The management for previous reported cases has included corticosteroid injections, antihistamines, and antibiotics. In the current reported case, the patient was treated with 5-fluorouracil and has been responding positively. Additionally, the patient has not shown signs of steroid atrophy.
A duoethnographic exploration of the diversification of Dramatherapy practice during the Covid-19 pandemic: Considering therapeutic framing and alliance while working remotely
Authors: Buxton Sarah , Morley Rebecca
Published: August 2021

The article is written by two Dramatherapists working for a community interest company offering arts psychotherapies and arts for health and wellbeing services to a variety of client groups. In 2020, during the Covid-19 pandemic, the organisation experienced an increase in client referrals. The multidisciplinary team considered ethical implications to create policies, procedures and ways of working via remote practice. This article considers the diversification of approaches to Dramatherapy when working remotely, including framing and its impact on the therapeutic alliance. It considers clients who began interventions remotely and those who transitioned from in-person working to remote. The article takes a duoethnographic approach voicing Dramatherapists’ personal experiences and reflections of transitioning their practice. Thematic analysis is applied to the therapist’s data set and a small-scale collection of client feedback to enhance meaning-making. Findings are presented through inclusion of therapist and client vignettes, including themes of feeling deskilled, adaptivity, assessing, disclosures, framing, therapeutic alliance and facilitation. Exploration of experiences shared by therapist and clients further informs Dramatherapy practice both now and for the future. The Dramatherapists conclude by identifying that an effective alliance can occur remotely, and that Dramatherapeutic techniques can be diversified into the world of remote practice. In addition, providing remote Dramatherapy could widen the diversity of individuals who can access.
Prevalence and source analysis of COVID-19 misinformation in 138 countries
Authors: Al-Zaman Md. Sayeed
Published: August 2021

This study analysed 9657 pieces of misinformation that originated in 138 countries and were fact-checked by 94 organizations to understand the prevalence and sources of misinformation in different countries. The results show that India (15.94%), the USA (9.74%), Brazil (8.57%) and Spain (8.03%) are the four most misinformation-affected countries. Based on the results, it is presumed that the prevalence of COVID-19 misinformation can have a positive association with the COVID-19 situation. Social media (84.94%) produces the largest amount of misinformation, and the Internet (90.5%) as a whole is responsible for most of the COVID-19 misinformation. Moreover, Facebook alone produces 66.87% of the misinformation among all social media platforms. Of all the countries, India (18.07%) produced the largest amount of social media misinformation, perhaps thanks to the country’s higher Internet penetration rate, increasing social media consumption and users’ lack of Internet literacy.
Optimal Excess Commuting Evaluation Based on Local Minimal Costs
Authors: Xu Yajin , Luo Qiong , Shu Hong
Published: August 2021

Excess commuting refers to the value of unnecessary commuting or distance costs. Traditional commuting distance models adapt the most efficient scenario with people working in the nearest workplace geographically. Even though there have been some attempts to include constraints with commuter attributes and neighborhood features, problems arise with traditional geographical space and the subjectivity of these predefined characteristics. In this paper, we propose a method to calculate theoretical local minimal costs, which considers preferences that are inherently behavioral based on current work–home trips in the process of reassigning the work–home configuration. Our method is based on a feature space with a higher dimension and with the enlargement of attributes and relations of and between commuters and neighborhoods. Additionally, our solution is arrived at innovatively by improved Fuzzy C-Means clustering and linear programming. Unlike traditional clustering algorithms, our improved method adapts entropy information and selects the initial parameters based on the actual data rather than on prior knowledge. Using the real origin–destination matrix, theoretical minimal costs are calculated within each cluster, referred to as local minimal costs, and the average sum of local minimal costs is our theoretical minimal cost. The difference between the expected minimal cost and the actual cost is the excess commuting. Using our method, experimental results show that only 13% of the daily commuting distance in Wuhan could be avoided, and the theoretical distance is approximately 1.06 km shorter than the actual commuting distance.
Life-Cycle Assessment of Asphalt Pavements with Recycled Post-Consumer Polyethylene
Authors: Rangelov Milena , Dylla Heather , Sivaneswaran Nadarajah
Published: August 2021

Extensive amounts of plastic waste worldwide require viable methods of recycling and reuse. One such example is the use of recycled plastics (RP) in the asphalt pavement industry, which has massive material consumption and usage of polymer modifiers. Research studies on the use of RP in asphalt commonly identify environmental benefits as a key motivation. However, assessment of the environmental impacts of using RP is limited in the literature. To address this gap, this study presents a life-cycle assessment comparing asphalt pavement sections produced with RP with the alternatives made with conventional hot-mix asphalt (HMA) and polymer-modified asphalt. The assessed RP mixtures were made with recycled polyethylene pellets introduced via a dry process. Cradle-to-gate results indicated that the impact of RP mixtures was greater than HMA but less than a polymer-modified mix. To account for different mixture performance, the analysis was expanded to a functional unit of one lane-mile of pavement for cradle-to-built and cradle-to-grave scope. Changes in pavement thickness and maintenance intervals were analyzed to determine in which scenarios RP sections can present equal performance with HMA and polymer-modified alternatives. Results demonstrate that RP pavements are environmentally beneficial relative to HMA when savings in pavement thickness of 12.5% or extension of maintenance cycles by 7% are achieved. Relative to a polymer-modified alternative, RP sections present environmental benefits when equal performance is achieved with no changes in thickness or maintenance. Accordingly, the results of this study encourage the life-cycle thinking and bracket engineering performance needed to achieve environmental benefits.