bluuebunny/crossref_metadata_2025 huggingface dataset:
Reactive Jamming and Attack Mitigation over Cross-Technology Communication Links
Authors: Chen Gonglong , Dong Wei
Published: November 2020

Recently, Cross-Technology Communication (CTC), allowing the direct communication among heterogeneous devices with incompatible physical layers, has attracted much research attention. Many efficient CTC protocols have been proposed to demonstrate its promise in IoT applications. However, the applications built upon CTC will be significantly impaired when CTC suffers from malicious attacks such as jamming or sniffing. In this article, we implement a reactive jamming system, JamCloak, that can attack most existing CTC protocols. To this end, we first propose a taxonomy of the existing CTC protocols. Then based on the taxonomy, we extract essential features to train a CTC detection model, and estimate the parameters that can efficiently jam CTC links. Experimental results show that JamCloak consistently achieves 94.7% of classification accuracy on average in both Line-of-Sight and Non-Line-of-Sight scenarios. We also apply JamCloak to attack three existing CTC protocols: WiZig, Esense and EMF. Results show that JamCloak can significantly reduce PDR (packet delivery ratio) by 80.8% on average in practical environments. In the meantime, JamCloak’s jamming gain is more than 1.78× higher than the existing reactive jammer. In addition, we propose a practical countermeasure against reactive jamming attacks over CTC links like JamCloak. Results show that our approach significantly improves the jamming detection accuracy by 91.2% on average than the existing approach, and effectively decreases the reduction in packet delivery ratio to 1.7%.
A Structured and Linguistic Approach to Understanding Recovery and Relapse in AA
Authors: Bailey Shawn , Zhang Yue , Ramesh Arti , Golbeck Jennifer , Getoor Lise
Published: November 2020

Alcoholism, also known as Alcohol Use Disorder (AUD), is a serious problem affecting millions of people worldwide. Recovery from AUD is known to be challenging and often leads to relapse at various points after enrolling in a rehabilitation program such as Alcoholics Anonymous (AA). In this work, we present a structured and linguistic approach using hinge-loss Markov random fields (HL-MRFs) to understand recovery and relapse from AUD using social media data. We evaluate our models on AA-attending users extracted from: (i) the Twitter social network and predict recovery at two different points—90 days and 1 year after the user joins AA, respectively, and (ii) the Reddit AA recovery forums and predict whether the participating user is currently sober. The two datasets present two facets of the same underlying problem of understanding recovery and relapse in AUD users. We flesh out different characteristics in both these datasets: (i) In the Twitter dataset, we focus on the social aspect of the users and the relationship with recovery and relapse, and (ii) in the Reddit dataset, we focus on modeling the linguistic topics and dependency structure to understand users’ recovery journey. We design a unified modeling framework using HL-MRFs that takes the different characteristics of both these platforms into account. Our experiments reveal that our structured and linguistic approach is helpful in predicting recovery in users in both these datasets. We perform extensive quantitative analysis of different groups of features and dependencies among them in both datasets. The interpretable and intuitive nature of our models and analysis is helpful in making meaningful predictions and can potentially be helpful in identifying and preventing relapse early.
PACM HCI V4 ISS, November 2020 - Editorial
Authors: Chevalier Fanny , Marquardt Nicolai
Published: November 2020

It is our great pleasure to welcome you to this issue of the Proceedings of the ACM on Human Computer Interaction, the first to focus on the contributions from the research community Interactive Surfaces and Spaces (ISS). Interactive Surfaces and Spaces increasingly pervade our everyday life, appearing in various sizes, shapes, and application contexts, offering a rich variety of ways to interact. This diverse research community explores the design, development and use of new and emerging tabletop, digital surface, interactive spaces and multi-surface technologies.

The call for articles for this issue on ISS attracted 87 submissions, from all over the world. After the first round of reviewing, 26 (29.9%) articles with minor revisions were invited to the Revise and Resubmit phase, and 39 (44.8%) articles with major revisions for the next full PACMHCI ISS review cycle in 2021 (total of 65 articles, 74.7%). The editorial committee worked hard over the two iterations of the review process to arrive at final decisions. In the end, 25 articles (28%) were accepted. All authors of the accepted articles are invited to present at the ISS conference from November 8-11, 2020.

This issue exists because of the dedicated volunteer effort of 31 senior editors who served as Associate Chairs (ACs), and 146 expert reviewers to ensure high quality and insightful reviews for all articles in both rounds. Reviewers and committee members were kept constant for papers that submitted to both rounds.
Exploring the Design Space of Badge Based Input
Authors: Bhatia Arpit , Ahuja Yajur , Agarwal Suyash , Parnami Aman
Published: November 2020

In this paper, we explore input with wearables that can be attached and detached at will from any of our regular clothes. These wearables do not cause any permanent effect on our clothing and are suitable to be worn anywhere, thus making them very similar to badges we wear. To explore this idea of non-permanent badge input, we studied various methods to fasten objects to our clothing and organise them in the form of a design space. We leverage this synthesis, along with literature and existing products to present possible interaction gestures these badge-based wearables can enable.
Rethinking the Dual Gaussian Distribution Model for Predicting Touch Accuracy in On-screen-start Pointing Tasks
Authors: Yamanaka Shota , Usuba Hiroki
Published: November 2020

The dual Gaussian distribution hypothesis has been used to predict the success rate of target pointing on touchscreens. Bi and Zhai evaluated their success-rate prediction model in off-screen-start pointing tasks. However, we found that their prediction model could also be used for on-screen-start pointing tasks. We discuss the reasons why and empirically validate our hypothesis in a series of four experiments with various target sizes and distances. The prediction accuracy of Bi and Zhai's model was high in all of the experiments, with a 10-point absolute (or 14.9% relative) prediction error at worst. Also, we show that there is no clear benefit to integrating the target distance when predicting the endpoint variability and success rate.
An Ultra-Portable Vis-NIR Spectrometer with an Integrated Light Source for Chemometric Applications
Authors: Behera Amruta Ranjan , Kumar Avinash , Suresh Hasika , Pratap Manas , Selvaraja Shankar Kumar , Pratap Rudra
Published: November 2020

On-site material inspection and quality analysis of food and agricultural produce require portable sensing systems. We report the development of a miniaturized spectrometer with an integrated light source operating in the visible and near-infrared range, for chemometrics based material-sensing applications. The proposed system uses off-the-shelf light source and detector. The electronic circuit is designed, developed, and tested in-house. To validate the system’s usability, a set of classification experiments are carried out with measured spectra from culinary white powders and medicinal pills. Several classification algorithms are used to build predictive models and the best-suited ones give prediction accuracies of 80% and 92.6% respectively. A regression model built to estimate the curcumin content in turmeric shows a coefficient-of-determination of 0.97 for prediction. With more than 90% repeatability in the measured reflectance spectra, robustness of the device is demonstrated. Realization of a portable spectrometer, along with a framework for building appropriate prediction models, is expected to spur the development of point-of-use material sensing in the Vis-NIR range.
Photoluminescence Properties of Mn4+, Cr3+ co-doped BaMgAl10O17 Phosphor
Authors: Yuan Man , Yang Xiaoliang , Xiao Siguo
Published: November 2020

Mn4+, Cr3+ single-doped and Mn4+, Cr3+ co-doped BaMgAl10O17 phosphors were synthesized via a conventional high-temperature solid-state reaction method. Both Mn4+ and Cr3+ ions show broad excitation band extending from ultraviolet to visible light range, and the emission band peaks at 660 nm for Mn4+ ion and at 694 nm for Cr3+ ion. The relative intensity of the luminescence of Mn4+ and Cr3+ can be adjusted by changing the co-doped Cr3+ or Mn4+ concentration in the Mn4+, Cr3+ co-doped BaMgAl10O17 phosphor to better match the required light for photosynthesis of different plants. Moreover, the specific relationship between the luminous intensity ratio of Mn4+ and Cr3+ and the excitation wavelength in the region of 320 to 530 nm in the co-doped phosphor suggests that the excitation wavelength can be known by measuring the emission integral intensity ratio between Mn4+ and Cr3+. The results show that the Mn4+, Cr3+ co-doped BaMgAl10O17 phosphors can not only be used as plant growth spectral converter, but also wavelength detector.
Ascorbate attenuates cycling exercise-induced neuromuscular fatigue but fails to improve exertional dyspnea and exercise tolerance in COPD
Authors: Hureau Thomas J. , Weavil Joshua C. , Sidhu Simranjit K. , Thurston Taylor S. , Reese Van R. , Zhao Jia , Nelson Ashley D. , Birgenheier Nathaniel M. , Richardson Russell S. , Amann Markus
Published: November 2020

We investigated the effect of intravenous vitamin C on redox balance, exertional dyspnea, neuromuscular fatigue, and exercise tolerance in chronic obstructive pulmonary disease (COPD) patients. Acute vitamin C administration increased superoxide dismutase (marker of antioxidant capacity) and attenuated fatigue development but failed to improve exertional dyspnea and exercise tolerance. These findings suggest that a compromised redox balance plays a critical role in the development of fatigue in COPD but also highlight the significance of exertional dyspnea as an important symptom limiting the patients’ exercise tolerance.
Assessment of macrovascular and microvascular function in aging males
Authors: Babcock Matthew C. , DuBose Lyndsey E. , Witten Teresa L. , Brubaker Ashley , Stauffer Brian L. , Hildreth Kerry L. , Moreau Kerrie L.
Published: November 2020

NEW & NOTEWORTHY: Microvessel endothelial function assessed via finger plethysmography may not reflect age-associated reductions in large artery endothelial function assessed via brachial artery flow-mediated dilation
Physiological demands of running at 2-hour marathon race pace
Authors: Jones Andrew M. , Kirby Brett S. , Clark Ida E. , Rice Hannah M. , Fulkerson Elizabeth , Wylie Lee J. , Wilkerson Daryl P. , Vanhatalo Anni , Wilkins Brad W.
Published: November 2020

We report the physiological characteristics and O2 cost of running overground at ∼21.1 km/h in a cohort of the world’s best male distance runners. We provide new information on the absolute and relative O2 uptake required to run at 2-h marathon pace.
A New Insight to Vibration Characteristics of Spans under Random Moving Load: Case Study of 38 Bridges in Ho Chi Minh City, Vietnam
Authors: Nguyen Thanh Q. , Nguyen Thao D. , Tran Lam Q. , Ngo Nhi K.
Published: November 2020

We propose a novel representative power spectrum density as a specific characteristic for showing responses of spans during a long operational period. The idea behind this method is to use the representative power spectrum density as a powerful tool to evaluate the stiffness decline of spans during their operation period. In addition, a new measurement method has been introduced to replace the traditional method of monitoring the health conditions of bridges through a periodic measurement technique. This helps to reduce costs when carrying out testing bridges. Besides, the proposed approach can be widely applied not only in Vietnam but also in many other underprivileged countries around the world. Obtained results show that, during the operational process of spans, there is not only a pure vibration evaluation such as bending vibration and torsion vibration tests but also a combination of various vibration types including bending-torsion vibration or high-level vibrations like first-mode bending and first-mode torsion. Depending on each type of structure and material properties, different types of vibrations will appear more or less during the operational process of spans under a random moving load. Furthermore, the representative power spectrum density is also suitable for evaluating and determining many different fundamental vibrations through the same measurement time as well as various measurement times.
Fuzzy Multidimensional Model to Cluster Dengue Risk in Sri Lanka
Authors: Piyatilake I. T. S. , Perera S. S. N.
Published: November 2020

Dengue is the world’s rapidly transmitting mosquito‐borne viral disease. It is mostly found in subtropical countries in the world. The annual number of global deaths caused by dengue fever is about 25,000. The Sri Lanka dengue situation is also not different to other countries. In the year 2019, dengue fever caused 120 deaths in Sri Lanka. Most of these deaths were reported from the main administrative district Colombo. Health authorities have to pay their attention to control this new situation. Therefore, identifying the hot spots in the country and implementing necessary actions to control the disease is an important task. This study aims to develop a clustering technique to identify the dengue hot spots in Sri Lanka. Suitable risk factors are identified using expert ideas and reviewing available literature. The weights are derived using Chang’s extent method. These weights are used to prioritize the factors associated with dengue. Using the geometric mean, the interaction between the triggering variable and other variables is calculated. According to the interaction matrices, five dengue risk clusters are identified. It is found that high population movement in the area plays a dominant role to transmit the disease to other areas. Most of the districts in Sri Lanka will reach to moderate risk cluster in the year 2022.
Gaps in Hospice and Palliative Care Research: A Scoping Review of the North American Literature
Authors: Antonacci Rebecca , Barrie Carol , Baxter Sharon , Chaffey Sarah , Chary Srini , Grassau Pamela , Hammond Chad , Mirhosseini Mehrnoush , Mirza Raza M. , Murzin Kate , Klinger Christopher A.
Published: November 2020

Background. The demand for hospice and palliative care is growing as a result of the increase of an aging population, which is most prominent in North America. Despite the importance of the topic and an increase in hospice and palliative care utilization, there still are gaps in research and evidence within the field. Aim. To determine what gaps currently exist in hospice and palliative/end-of-life care research within the context of a North American setting to ensure that future directions are grounded in appropriate evidence. Methods. Using Arksey and O’Malley’s scoping review framework, six peer-reviewed, and four grey electronic literature databases in healthcare and the social sciences were searched in mid-2019. 111 full-text articles were retrieved, with 25 articles and reports meeting the inclusion criteria. Major themes were identified through thematic context analysis: (1) clinical, (2) system access to care, (3) research methodology, and (4) caregiving-related research gaps. Results. Findings include strategies for engaging stakeholder organizations and funding agencies, implications for other stakeholder groups such as clinicians and researchers, and highlight implications for policy (e.g., national framework discussion) and practice (e.g., healthcare provider education and training and public awareness). Conclusion. Reviewing and addressing targeted research gaps is essential to inform future directions in Canada and beyond.
Analysis of Chest CT Results of Coronavirus Disease 2019 (COVID-19) Patients at First Follow-Up
Authors: Zhong Lingshan , Zhang Shuo , Wang Jigang , Zhao Xinqian , Wang Kai , Ding Wenlong , Xing Zhiheng , Shen Jun
Published: November 2020

Objective. To investigate the dissipation and outcomes of pulmonary lesions at the first follow-up of patients who recovered from moderate and severe cases of COVID-19. Methods. From January 21 to March 3, 2020, a total of 136 patients with COVID-19 were admitted to our hospital. According to inclusion and exclusion criteria, 52 patients who recovered from COVID-19 were included in this study, including 33 moderate cases and 19 severe cases. Three senior radiologists independently and retrospectively analyzed the chest CT imaging data of 52 patients at the last time of admission and the first follow-up after discharge, including primary manifestations, concomitant manifestations, and degree of residual lesion dissipation. Results. At the first follow-up after discharge, 16 patients with COVID-19 recovered to normal chest CT appearance, while 36 patients still had residual pulmonary lesions, mainly including 33 cases of ground-glass opacity, 5 cases of consolidation, and 19 cases of fibrous strip shadow. The proportion of residual pulmonary lesions in severe cases (17/19) was statistically higher than in moderate cases (19/33) (

χ

2

 
=
 
5
.
759

,

P
<
0.05

). At the first follow-up, residual pulmonary lesions were dissipated to varying degrees in 47 cases, and lesions remained unchanged in 5 cases. There were no cases of increased numbers of lesions, enlargement of lesions, or appearance of new lesions. The dissipation of residual pulmonary lesions in moderate patients was statistically better than in severe patients (Z = −2.538,

P
<
0.05

). Conclusion. Clinically cured patients with COVID-19 had faster dissipation of residual pulmonary lesions after discharge, while moderate patients had better dissipation than severe patients. However, at the first follow-up, most patients still had residual pulmonary lesions, which were primarily ground-glass opacity and fibrous strip shadow. The proportion of residual pulmonary lesions was higher in severe cases of COVID-19, which required further follow-up.
Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network
Authors: Aldabbagh Ghada , Alghazzawi Daniyal M. , Hasan Syed Hamid , Alhaddad Mohammed , Malibari Areej , Cheng Li
Published: November 2020

Widespread development of system software, the process of learning, and the excellence in profession of teaching are the formidable challenges faced by the learning behavior prediction system. The learning styles of teachers have different kinds of content designs to enhance their learning. In this learning environment, teachers can work together with the students, but the learning materials are designed by the teachers. The cognitive style deals with mental activities such as learning, remembering, thinking, and the usage of language. Therefore, being motivated by the problems mentioned above, this paper proposes the concept of adaptive optimization-based neural network (AONN). The learning behavior and browsing behavior features are extracted and incorporated into the input of artificial neural network (ANN). Hence, in this paper, the neural network weights are optimized with the use of grey wolf optimizer (GWO) algorithm. The output operation of e-learning with teaching equipment is chosen based on the cognitive style predicted by AONN. In experimental section, the measures of accuracy, sensitivity, specificity, time (sec), and memory (bytes) are carried out. Each of the measure is compared with the proposed AONN and existing fuzzy logic methodologies. Ultimately, the proposed AONN method produces higher accuracy, specificity, and sensitivity results. The results demonstrate that the algorithm proposed in this study can automatically learn network structures competitively, unlike those achieved for neural networks through standard approaches.
Ductile to Brittle Transition of Short Carbon Fiber-Reinforced Polypropylene Composites
Authors: Junaedi Harri , Albahkali Essam , Baig Muneer , Dawood Abdulsattar , Almajid Abdulhakim
Published: November 2020

In this work, the ductile to brittle transition behavior of short carbon fiber (SCF)-reinforced polypropylene (PP) composite is studied. Initially, the SCF-reinforced PP composites with a varying composition of SCF in the range of 0–40 wt% loading were first melt-mixed in a twin-screw extruder and later injection-molded to produce the testing samples. The experimental results indicate that with an increase in SCF loading, an increase in the tensile modulus and strength was observed along with a rapid decrease in the values of strain at break. A sudden decrease in strain at break was observed in composites in the range of 10–15 wt% SCF. To further study the sudden decrease in strain at break, an investigation was performed on composites that contained 10–15 wt% of SCF loading, starting from 10 wt% with a 1% increment to 15 wt% of SCF. The results of this study show that a decrease in strain at break was not linear; on the contrary, it was accompanied by a ductile to brittle transition, which specifically occurred in the range of 12–13 wt% of SCF loading and then continued to decrease with an increase in SCF loading.
A Simplified Analytical Solution of Mechanical Responses of Soil Subjected to Repeated Impact Loading
Authors: Zhao Futian , Liu Jun , Xiao Zhimin , Liu Mingqing , Wang Yue , Ou Chen , Zhen Mengyang
Published: November 2020

A simplified dynamic response model is proposed based on the deformation and dynamic stress response characteristics of soil under impact loading. The foundation is divided into two distinct zones: a projection cylinder acting vertically under impact loading and a hollow cylinder outside the projection area. It is assumed that the ramming deformation of the projected cylinder under the vertical impact load is a quasi-static loading process under the maximum contact dynamic stress through the quasi-static method, and the settlement calculation without lateral deformation is given. It is assumed that the inner wall of the hollow cylinder is subjected to horizontal lateral pressure and the analytical solution of the horizontal dynamic stress considering the plastic deformation of soil is given. The simplified dynamic response model can reflect the mechanical response of soil under impulse train load well which can provide reference for similar projects.
A Report on a Family with TMTC3-Related Syndrome and Review
Authors: Hana Sayeeda , karthik Deepak , Shan Jingxuan , El Hayek Stephany , Chouchane Lotfi , Megarbane André
Published: November 2020

Recessive mutations in the TMTC3 gene have been reported in thirteen patients to date exhibiting development delay, intellectual disability (ID), seizures, and muscular hypotonia, accompanied occasionally by neuronal migration defects expressed as either cobblestone lissencephaly or periventricular hypertopia. Here, we report a new case of a TMTC3-related syndrome in a Lebanese family with two affected siblings showing severe psychomotor retardation, intellectual disability, microcephaly, absence of speech, muscular hypotonia, and seizures. Whole exome sequencing revealed a homozygous pathogenic variant c.211 C > T (p.R71C) in the TMTC3 gene in both siblings. A review of the literature on TMTC3-related syndrome and its causal mutations is provided.
Network Pharmacology Analysis to Identify Phytochemicals in Traditional Chinese Medicines That May Regulate ACE2 for the Treatment of COVID‐19
Authors: Niu Wenhao , Wu Feng , Cui Haiming , Cao Wenyue , Chao YuChieh , Wu Zonggui , Fan Min , Liang Chun
Published: November 2020

“Three formulas and three medicines,” which include Jinhua Qinggan granule, Lianhua Qingwen capsule/granule, Xuebijing injection, Qingfei Paidu decoction, HuaShiBaiDu formula, and XuanFeiBaiDu granule, have been proven to be effective in curbing coronavirus disease 2019 (COVID‐19), according to the State Administration of Traditional Chinese Medicine. The aims of this study were to identify the active components of “Three formulas and three medicines” that can be used to treat COVID‐19, determine their mechanism of action via angiotensin‐converting enzyme 2 (ACE2) by integrating network pharmacological approaches, and confirm the most effective components for COVID‐19 treatment or prevention. We investigated all the compounds present in the aforementioned herbal ingredients. Compounds that could downregulate the transcription factors (TFs) of ACE2 and upregulate miRNAs of ACE2 were screened via a network pharmacology approach. Hepatocyte nuclear factor 4 alpha (HNF4A), peroxisome proliferator‐activated receptor gamma (PPARG), hsa‐miR‐2113, and hsa‐miR‐421 were found to regulate ACE2. Several compounds, such as quercetin, decreased ACE2 expression by regulating the aforementioned TFs or miRNAs. After comparison with the compounds present in Glycyrrhiza Radix et Rhizoma, quercetin, glabridin, and gallic acid present in the herbal formulas and medicines were found to alter ACE2 expression. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were used to search for possible molecular mechanisms of these compounds. In conclusion, traditional Chinese medicine (TCM) plays a pivotal role in the prevention and treatment of COVID‐19. Quercetin, glabridin, and gallic acid, the active components of recommended TCM formulas and medicines, can inhibit COVID‐19 by downregulating ACE2.
Uniform Continuity of Fractal Interpolation Function
Authors: Pan Xuezai , Wang Minggang , Shang Xudong
Published: November 2020

In order to research analysis properties of fractal interpolation function generated by the iterated function system defined by affine transformation, the continuity of fractal interpolation function is proved by the continuous definition of function and the uniform continuity of fractal interpolation function is proved by the definition of uniform continuity and compactness theorem of sequence of numbers or finite covering theorem in this paper. The result shows that the fractal interpolation function is uniformly continuous in a closed interval which is from the abscissa of the first interpolation point to that of the last one.
Knowledge, Attitude, and Associated Factors towards Safe Abortion among Private College Female Students in Gondar City, Northwest Ethiopia: A Cross-Sectional Study
Authors: Mekonnen Birye Dessalegn , Wubneh Chalachew Adugna
Published: November 2020

Background. Women die from complications of unsafe abortion in developing countries because most have little knowledge about how to safely access to abortion care. Studies on knowledge, attitude, and associated factors towards safe abortion are limited in general and particularly among private college students. Therefore, the aim of this study was to assess knowledge, attitude, and associated factors towards safe abortion among private college female students in Gondar City, Northwest Ethiopia. Methods. An institution-based cross-sectional study was conducted from April 30, 2019, to May 30, 2019, among private college students in the Gondar town. Data were collected from 633 female students using self-administered questionnaires by a simple random sampling technique. Bivariable and multivariable logistic regression analyses were performed to identify association of dependent and independent variables using SPSS, version 20. Results. A total of 633 respondents participated in this study with the response rate of 97.7%. The majority (433 (68.4%)) of students had good knowledge about safe abortion. Older age (AOR = 2.79, 95% CI: 1.16, 7.29), urban residence (AOR = 2.42, 95% CI: 1.26, 4.35), family education (AOR = 3.18, 95% CI: 1.32, 7.06), and ever having heard about safe abortion (AOR = 4.36, 95% CI: 1.89, 10.83) were factors associated with knowledge of students on safe abortion. Regarding attitude, 361 (57%) of students had favorable attitude towards safe abortion. Age (AOR = 6.58, 95% CI: 2.71, 11.21) and urban residence (AOR = 1.51, 95% CI: 1.09, 2.21) were factors significantly associated with attitude towards safe abortion. Conclusion. More than half of the participants have good knowledge and attitude towards safe abortion, but still a significant proportion of students have poor knowledge and unfavorable attitude. Information, education, and communication programs on youth reproductive health should be provided to address topics on safe abortion for students. Forums and panel discussions on safe abortion need to be undertaken especially, among youths and students who come from rural area.
Study on Reasonable Roadway Position of Working Face under Strip Coal Pillar in Rock Burst Mine
Authors: Yang Hengze , Guo Zhongping , Chen Daozhi , Wang Chao , Zhang Fuyu , Du Zhaowen
Published: November 2020

It is of great significance to study the reasonable position of mining roadway under strip coal pillar for increasing the stability of mining roadway, reducing the waste of resources, and realizing the safety production of working face. Based on the research background of the working face under the strip coal pillar in Jinqiao Coal Mine of Jining, Shandong Province, through theoretical analysis, similar material simulation experiment, and numerical simulation experiment, the stress distribution law, plastic failure range, and rationality of coal pillar setting in different width sections are systematically studied. Finally, the tailentry of working face is determined at the position of 5 m from the bottom of strip coal pillar to 1308 goaf. During the mining period of 1310 working face, the peak value of side abutment pressure is at the position of 3∼4 m; beyond 25 m in front of the coal wall, the deformation of the surrounding rock on the tailentry surface is small. After entering the advanced support section, the deformation of the two sides is mainly longitudinal crack expansion and local shallow small flakes; however, the roof is complete and stable. Therefore, the selection of tailentry location and coal pillar width has played a good role. The research results of this study can provide some reference for similar mine with similar geological and production technical conditions.
Collaborative Control Optimization on Reversible Lanes in Intersection Group under Intelligent Vehicle Infrastructure Cooperative System
Authors: Zhou Guiliang , Mao Lina , Dai Yuke , Liu Yao , Bao Xu , Hu Pengsen
Published: November 2020

Based on the Intelligent Vehicle Infrastructure Cooperative System (IVICS), the paper firstly analyzes the operating characteristics of the intersection group under real-time reversible lanes from the capacity; secondly, the signal phase sequence and signal timing parameters of the intersection are designed, and the green wave control is designed based on the phase difference model. The scheme provides traffic flowing in this section with a continuous green light signal. Finally, taking the intersection of Yongle East Road in Wuxi, Jiangsu Province as an example, it optimizes and controls the green wave of the intersection group and verifies the effectiveness of the phase difference model using the evaluation indicators of the number of stops, green wave speed, traffic capacity, and saturation flow. The results show that the optimization of the number of stops is 9.5% and the vehicle speed is optimized by 5.3%. The intersection capacity and saturation flow are greatly improved.
Implementation of Parallel K‐Means Algorithm to Estimate Adhesion Failure in Warm Mix Asphalt
Authors: Akhtar Mohammad Nishat , Ahmed Waseem , Kakar Muhammad Rafiq , Bakar Elmi Abu , Othman A. R. , Bueno Moises
Published: November 2020

Warm Mix Asphalt (WMA) and Hot Mix Asphalt (HMA) are prepared at lower temperatures, making it more susceptible to moisture damage, which eventually leads to stripping due to the adhesion failure. Moreover, the assessment of the adhesion failure depends on the expertise of the investigator’s subjective visual assessment skills. Nowadays, image processing has gained popularity to address the inaccuracy of visual assessment. To attain high accuracy from image processing algorithms, the loss of pixels plays an essential role. In high‐quality image samples, processing takes more execution time due to the greater resolution of the image. Therefore, the execution time of the image processing algorithm is also an essential aspect of quality. This manuscript proposes a parallel k means for image processing (PKIP) algorithm using multiprocessing and distributed computing to assess the adhesion failure in WMA and HMA samples subjected to three different moisture sensitivity tests (dry, one, and three freeze‐thaw cycles) and fractured by indirect tensile test. For the proposed experiment, the number of clusters was chosen as ten (k = 10) based on k value and cost of k means function was computed to analyse the adhesion failure. The results showed that the PKIP algorithm decreases the execution time up to 30% to 46% if compared with the sequential k means algorithm when implemented using multiprocessing and distributed computing. In terms of results concerning adhesion failure, the WMA specimens subjected to a higher degree of moisture effect showed relatively lower adhesion failure compared to the Hot Mix Asphalt (HMA) samples when subjected to different levels of moisture sensitivity.
Skin Diseases among the Old Age Residents in a Nursing Home: A Neglected Problem
Authors: Darjani Abbas , Alizadeh Narges , Rafiei Elahe , Moulaei Meysam , Naseri Alavi Seyed Hamed , Eftekhari Hojat , Rafiei Rana , Gharaei-Nejad Kaveh , Mohtasham-Amiri Zahra
Published: November 2020

Background. Geriatric health care has become a worldwide concern, but a few statistical studies were carried out about skin diseases in this age group in the nursing home of Iran. Aims. In this study, we set out to determine the frequency as well as the age and gender distribution of dermatological diseases in nursing home old age residents. Methods. In a cross-sectional study, all patients over 60 years who were living in a charity nursing home complex of Rasht in 2017 participated in this study. Baseline information on sociodemographic variables, past medical history, and medication were gathered by medical staff during a face-to-face interview. Full-body skin examination was done by dermatologists. Biopsy, and pathological and laboratory methods were used to confirm the diagnosis of suspected lesions or disease. Results. In this study, 259 people underwent the study. 52.9% were male, and their mean age was 73.5 years (SD = 9.1 years). Hypertension (20.9%); diabetes mellitus (9.7%), and hypothyroidism (2.3%) were the most common underlying diseases. Most of them (85.7%) had age-related skin changes. The benign neoplasm was the most common skin disease among patients (68.3%), followed by infectious diseases (46.3%) and erythemo-squamous (31.6%). None of them had precancerous lesions or skin cancers. There were not any differences between skin disorders and gender or age groups in this study. Conclusion. Our study suggests that skin manifestations and diseases are common among nursing home old age residents in this area. Therefore, this should constitute one of the top priorities of aged care physicians and nurses.
Evaluating the Real-Time Impact of COVID-19 on Cities: China as a Case Study
Authors: Liu Haimeng , Fang Chuanglin , Gao Qian
Published: November 2020

Since the beginning of 2020, the COVID-19 epidemic has dramatically influenced the human socioeconomic system. If we conceive of the city as a complex organism with a metabolism, then the daily ﬂows of people, materials, and information into and out of a city can be regarded as its metabolism. To evaluate the real-time impact of COVID-19 on a city’s economy and society, we construct a health index of cities (HIC) using human mobility big data from Baidu and analyze the temporal and spatial changes of the HIC in China. The results show that both internal and intercity population movements have been significantly affected by the COVID-19 epidemic, and the decline in both was more than 50% at some points. The intercity movement is more affected than the intracity movement, and the impact is more sustained. Compared with the same period before the outbreak, the HIC in China decreased by 28.6% from January 20 to April 21, 2020. The deterioration rate of the HIC was faster than the growth rate of COVID-19 cases, but the improvement in the HIC was much slower than the decline in COVID-19 cases. Although the HIC is highly correlated with COVID-19 in both the spatial and temporal dimensions, the effect of the epidemic on the HIC varied across regions. The HIC fell more significantly in provincial capitals, such as Beijing, Shanghai, Guangzhou, and Zhengzhou, and in urban agglomerations, and these cities’ HICs were lower with a longer-lasting reduction. This study can serve as a frame of reference for studying the real-time impact of the epidemic, helping cities’ policymakers to quickly assess its socioeconomic impact. By extension, this index can be applied to other countries and other public health emergencies.
Simulation Study on the Effect of Forced Ventilation in Tunnel under Single-Head Drilling and Blasting
Authors: Pu Qingsong , Luo Yi , Huang Junhong , Zhu Yingwei , Hu Shaohua , Pei Chenhao , Zhang Guang , Li Xinping
Published: November 2020

Based on the excavation of Yuelongmen tunnel on ChengLan Railway in China, this paper will probe into the forced ventilation effect of harmful gas generated by drilling and blasting construction, simulate the diffusion process of harmful gas generated during blasting operation on the tunnel face by establishing the finite element model of gas turbulent flow and concentration diffusion in the tunnel, and study the spatial-temporal evolution law of CO concentration field under different air pipe layout locations and tunnel excavation methods. The results show that, compared with corner layout, haunch layout, and central layout, the ventilation effect is the best when the air pipes are arranged near the wall at the tunnel vault, and the CO concentration can be reduced to the concentration limit after 588 s of ventilation; compared with the full-face tunneling method and the lower pilot heading method, the benching tunneling method can effectively reduce the retention time of CO near the tunnel face, and the CO concentration on the tunnel face can be reduced to the standard limit after 326 s of ventilation near the wall of tunnel vault.
A Comparative Study on the VS30 and N30 Based Seismic Site Classification in Kahramanmaras, Turkey
Authors: Naji Dalia Munaff , Akin Muge K. , Cabalar Ali Firat
Published: November 2020

Assessment of seismic site classification (SSC) using either the average shear wave velocity (VS30) or the average SPT‐N values (N30) for upper 30 m in soils is the simplest method to carry out various studies including site response and soil‐structure interactions. Either the VS30‐ or the N30‐based SSC maps designed according to the National Earthquake Hazards Reduction Program (NEHRP) classification system are effectively used to predict possible locations for future seismic events. The main goal of this study is to generate maps using the Geographic Information System (GIS) for the SSC in Kahramanmaras city, influenced by both East Anatolian Fault and Dead Sea Fault Zones, using both VS30 and N30 values. The study also presents a series of GIS maps produced using the shear wave velocity (VS) and SPT‐N values at the depths of 5 m, 10 m, 15 m, 20 m, and 25 m. Furthermore, the study estimates the bed rock level and generates the SSC maps for the average VS values through overburden soils by using the NEHRP system. The VS30 maps categorize the study area mainly under class C and limited number of areas under classes B and D, whereas the N30 maps classify the study area mainly under class D. Both maps indicate that the soil classes in the study area are different to a high extent. Eventually, the GIS maps complied for the purpose of urban development may be utilized effectively by engineers in the field.
Characteristic Analysis of Digital Emulsion Relief Valve Based on the Hydraulic Loading System
Authors: Wan Lirong , Dai Hanzheng , Zeng Qingliang , Lu Zhenguo , Sun Zhiyuan , Tian Mingqian , Lu Yanjie
Published: November 2020

In the hydraulic loading system, the performance of digital relief valve plays an important role in the dynamic response of load. However, the research on large-flow emulsion relief valve is still far from perfect. In this paper, digital relief valve is taken as the research object. Based on pilot-operated relief valve, a digital control scheme using a linear stepping motor is adopted to regulate the working pressure of relief valve. The structure of relief valve is analyzed and optimized from the aspects of dynamic and internal flow field characteristics to obtain a good working performance. To obtain its accurate working characteristic, the structural model and digital control system of relief valve are established by AMESim and Simulink, respectively, for electrohydraulic cosimulation. The results show that digital relief valve has a better characteristic of real-time dynamic pressure regulation. Therefore, the digital control system could improve the dynamic performance of relief valve, and the design of digital relief valve structure is reasonable and feasible. The simulation method employed in this paper provides a better theoretical basis and reference for the comprehensive research of digital large-flow emulsion relief valves based on the hydraulic loading system.
Is Lutikizumab, an Anti–Interleukin‐1α/β Dual Variable Domain Immunoglobulin, efficacious for Osteoarthritis? Results from a bayesian network meta‐analysis
Authors: Cao Ziqin , Li Yajia , Wang Wanchun , Jie Shuo , Hu Xuantao , Zhou Jian , Wu Tong , Aili Dilihumaer , Long Zeling , Li Yihan , Dou Pengcheng , Wu Ren
Published: November 2020

Objective. Most guidelines recommend the use of nonsteroidal anti‐inflammatory drugs (NSAIDs), duloxetine, and tramadol for the nonoperative treatment of osteoarthritis (OA), but the use of them is limited by the tolerability and safety concerns. Lutikizumab is a novel anti–IL‐1α/β dual variable domain immunoglobulin that can simultaneously bind and inhibit IL‐1α and IL‐1β to relieve the pain and dysfunction symptoms. We conducted this network meta‐analysis to comprehensively compare the clinical efficacy and safety of lutikizumab with other drugs recommended by guidelines. Methods. We conducted a Bayesian network and conventional meta‐analyses to compare the efficacy and safety of lutikizumab with other traditional drugs. All eligible randomized clinical trials, in PubMed, CNKI, EMBASE, and Web of Science databases, from January 2000 to January 2020, were included. The Cochrane risk of the bias assessment tool was used for quality assessment. Pain relief, function improvement, and risk of adverse effects (AEs) were compared in this study. Results. 24 articles with 11858 patients were included. Duloxetine (DUL) had the largest effect for pain relief (4.76, 95% CI [2.35 to 7.17]), and selective cox‐2 inhibitors (SCI) were the most efficacious treatment for physical function improvement (SMD 3.94, 95% CI [2.48 to 5.40]). Lutikizumab showed no benefit compared with placebo for both pain relief (SMD 1.11, 95% CI [‐2.29 to 4.52]) and function improvement (SMD 0.992, 95% CI [‐0.433 to 4.25]). Lutikizumab and all other drugs are of favorable tolerance for patients in the treatment of OA compared with placebo. Conclusions. Lutikizumab, the new anti–Interleukin‐1α/β dual variable domain immunoglobulin, showed no improvement in pain or function when compared with placebo. Selective cox‐2 inhibitors and duloxetine remain the most effective and safest treatment for OA. More high‐quality trials are still needed to reconfirm the findings of this study.
Cultural Emperor Penguin Optimizer and Its Application for Face Recognition
Authors: Yang Jie , Gao Hongyuan
Published: November 2020

Face recognition is an important technology with practical application prospect. One of the most popular classifiers for face recognition is support vector machine (SVM). However, selection of penalty parameter and kernel parameter determines the performance of SVM, which is the major challenge for SVM to solve classification problems. In this paper, with a view to obtaining the optimal SVM model for face recognition, a new hybrid intelligent algorithm is proposed for multiparameter optimization problem of SVM, which is a fusion of cultural algorithm (CA) and emperor penguin optimizer (EPO), namely, cultural emperor penguin optimizer (CEPO). The key aim of CEPO is to enhance the exploitation capability of EPO with the help of cultural algorithm basic framework. The performance of CEPO is evaluated by six well-known benchmark test functions compared with eight state-of-the-art algorithms. To verify the performance of CEPO-SVM, particle swarm optimization-based SVM (PSO-SVM), genetic algorithm-based SVM (GA-SVM), CA-SVM, and EPO-SVM, moth-flame optimization-based SVM (MFO-SVM), grey wolf optimizer-based SVM (GWO-SVM), cultural firework algorithm-based SVM (CFA-SVM), and emperor penguin and social engineering optimizer-based SVM (EPSEO-SVM) are used for the comparison experiments. The experimental results confirm that the parameters optimized by CEPO are more instructive to make the classification performance of SVM better in terms of accuracy, convergence rate, stability, robustness, and run time.