bluuebunny/crossref_metadata_2025 huggingface dataset:
Retinal Encoding of Natural Scenes
Authors: Karamanlis Dimokratis , Schreyer Helene Marianne , Gollisch Tim
Published: June 2022

An ultimate goal in retina science is to understand how the neural circuit of the retina processes natural visual scenes. Yet most studies in laboratories have long been performed with simple, artificial visual stimuli such as full-field illumination, spots of light, or gratings. The underlying assumption is that the features of the retina thus identified carry over to the more complex scenario of natural scenes. As the application of corresponding natural settings is becoming more commonplace in experimental investigations, this assumption is being put to the test and opportunities arise to discover processing features that are triggered by specific aspects of natural scenes. Here, we review how natural stimuli have been used to probe, refine, and complement knowledge accumulated under simplified stimuli, and we discuss challenges and opportunities along the way toward a comprehensive understanding of the encoding of natural scenes.
An On-Chip Planar Inverted-F Antenna at 38 GHz for 5G Communication Applications
Authors: Ali Syed Muhammad Ammar
Published: June 2022

This paper presents an on-chip planar inverted-F antenna (PIFA) implemented in TSMC 180 nm CMOS process technology. The antenna operates at a 5 G millimeter-wave center frequency of 38 GHz. The ultrathick metal (UTM) layer of the technology is utilized to implement the on-chip antenna (OCA). The OCA is positioned close to the edge of the microchip for improving the gain performance of the antenna. The open end of the antenna is folded to develop a top-loaded PIFA structure yielding better 50 Ω impedance matching and wider bandwidth. On-wafer measurements are conducted through the Cascade Microtech Summit 11K probe-station and ZVA-50 vector network analyzer to measure the return loss and gain of the fabricated on-chip antenna. The measurements are performed after placing the fabricated OCA over a 3D-printed plastic slab to minimize the reflections from the metallic chuck of the probe station. The measurement results show that the fabricated on-chip PIFA achieves a minimum return loss of 14.8 dB and a gain of 0.7 dBi at the center frequency of 38 GHz. To the best of the authors’ knowledge, the presented OCA is the first on-chip PIFA designed, fabricated, and tested at the 5G millimeter-wave frequency of 38 GHz.
The Effect of Tectonic Stress and Thermal Evolution on Shale Pores of Devonian and Carboniferous Shales in Southern China
Authors: Zhang Zhiyao , Xu Shang , Shi Wanzhong , Meng Fanyang , Gou Qiyang , Zhao Mingfang
Published: June 2022

Many sets of Paleozoic marine organic-rich shale strata are developed in southern China. However, the exploration and development degree of these strata are different. Cambrian shale and Ordovician-Silurian shale are two horizons with high degree of exploration, while Devonian shale and Carboniferous shale exploration is deficient. Based on XRD, FE-SEM, and gas adsorption experiment, pore development characteristics and controlling factors of Devonian and Carboniferous shale are investigated. There are mainly four lithofacies in Devonian and Carboniferous shale: mixed shale (M), carbonate/siliceous mixed shale (M-1), argillaceous/siliceous mixed shale (M-2), and argillaceous-rich siliceous shale (S-3). Reservoir characteristics of both two sets of shale strata are quite different. The averages of porosity, pore volume, and specific surface area of Devonian shale are

3.81
%
,
9.7
×

10

−
3

 cm3/g and 11.8 m2/g, while those of Carboniferous shale are 3.57%,

17.3
×

10

−
3

 cm3/g and 19.8 m2/g. Thermal evolution (Ro) and tectonic preservation conditions are the main factors affecting the pore development. Carboniferous shale (

Ro
≈
2
%

) is in the stage of producing a large number of organic pores. Devonian shale (

Ro
≈
3.5
%

) is having difficulty preserving organic pores due to high thermal evolution. Meanwhile, Devonian shale (well GTD1) is strongly affected by tectonic movement; tectonic fractures and calcite veins are developed. Carboniferous shale (well GRY1) is in relatively stable area; tectonic fractures are not developed. Under the influence of compaction, the pore volume and specific surface area of Carboniferous shale are 78.3% and 67.8% higher than those of Devonian shale, respectively. This research can provide reference for clarifying shale pore development and evolution mechanism and similar shale gas exploration both in study area and around the world.
Steel Wire Mechanical Property Degradation Study Based on Numerical Simulation
Authors: Li Jiangjiang , Zhang Xuanyu
Published: June 2022

With the rapid development of underground engineering construction, such as deep mining of mineral resources and tunnel excavation under complex geological conditions, the existing support methods cannot meet the deformation requirements. It is necessary to conduct in-depth research on the stress status and damage evolution of the hanger rods, to establish a theoretical basis for the design principles and criteria of key components. In this paper, the degradation law of the mechanical properties of the hanger steel wire with the degree of corrosion is analyzed in detail. The results show that the corrosion changes the geometry of the cross section of the steel wire, which leads to the degradation of the mechanical properties of the steel wire. With the increase of corrosion length and depth, the strength, stiffness, and ultimate strain of the steel wire are reduced to varying degrees, and the effect of pitting corrosion is more significant than that of uniform corrosion. The closer the holes are, the greater the corrosion effect is.
Evaluation and Application of Environmental Value of Rural Land Resources Based on Improved GIS System
Authors: Wang Xiaoyan , Wang LuHui , Liu Guohua , Chu Jiankun
Published: June 2022

As the basis and material source of human production and life, land is an important part of natural resources. With the deepening of the concept of sustainable development, more and more attention has been paid to the sustainable development of land use. Reasonable assessment of land resources and environment is the premise of accelerating agricultural infrastructure construction, optimizing ecological environment construction, and rationally disposing land use structure. This paper proposes an evaluation method of rural land resources and environment based on the improved GIS system and takes Lingshan County as an example, based on the powerful spatial processing and rich spatial query and analysis capabilities of GIS, to analyze the current situation and sustainable development of its land use. It has established a representative and operable evaluation index system, which has certain reference significance for rural land and environmental evaluation.
The Compound Effect of Spatial and Temporal Resolutions on the Accuracy of Urban Flood Simulation
Authors: Li Xiting , Wang Leizhi , Zhou Haolan , Wang Yintang , Niu Kaijie , Li Lingjie
Published: June 2022

Flood disaster is one of the critical threats to cities. With the intellectualization tendency of Industry 4.0, refined urban flood models can effectively reproduce flood inundation scenarios and support the decision-making on the response to the flood. However, the spatiotemporal variability of rainfall and the spatial heterogeneity of the surface greatly increase the uncertainties in urban flood simulations. Therefore, it is crucial to account for spatiotemporal variability of rainfall events and grids of the model as accurately as possible to avoid misleading simulation results. This study aims to investigate the effect of temporal resolutions of rainfall and spatial resolutions of the model on urban flood modeling in small urban catchments and to explore a proper combination of spatiotemporal schemes. The IFMS Urban (integrated flood modeling system, urban) is used to construct a one-dimension and two-dimension coupled urban flood model in the typical inundated area in Dongguan, China. Based on five temporal resolutions of rainfall input and four spatial resolutions, the compound effect of spatiotemporal resolutions on the accuracy of urban flood simulations is systematically analyzed, and the variation characteristics are investigated. The results show that the finer the temporal resolution is, the higher the simulation accuracy of the maximum inundated water depth. Considering the spatial resolution, as the spatial grid becomes smaller, the relative error of the maximum inundated water depth decreases, but it also shows some nonlinear characteristics. Therefore, the smaller grid does not always mean a better simulation. The spatial resolution has a greater impact on the flood simulation accuracy than the temporal resolution. The simulation performance reaches the best when the grid interval is 100 m and the rainfall input interval is 5 min, 10 min, or 15 min. Affected by other factors such as terrain slope, the simulation accuracies under different spatiotemporal resolutions present complex nonlinear characteristics. The mechanisms of the compound effect of the spatiotemporal resolutions on the model simulation and the effect of underlying surface and topography on model simulation will be the focus of in-depth exploration for the future urban flood model.
Malocclusion Complexity in Patients with Myofascial Pain with or without Mouth‐Opening Limitation: A Case‐Control Study
Authors: Zúñiga-Herrera Iván Daniel , Herrera-Atoche José Rubén , Aguilar-Pérez Fernando Javier , Escoffié-Ramírez Mauricio
Published: June 2022

Background. This study is aimed at determining the association between myofascial pain with or without mouth‐opening limitation and malocclusion complexity. Methods. A prospective, cross‐sectional, case‐control study was conducted. The Research Diagnostic Criteria were used to evaluate the presence of myofascial pain, chronic pain, and depression. The Index of Complexity, Outcome, and Need (ICON) was applied to quantify malocclusion complexity. A total of 96 patients with myofascial pain were grouped into two: subjects without mouth‐opening limitation (n = 76, group A) and subjects with mouth‐opening limitation (group B, n = 20). Both groups were compared with 231 controls (group C). A Chi‐squared test and a multinomial logistic regression (p ≤ 0.05) were used to identify associations between the variables. Results. Statistically significant associations were found between myofascial pain and the variables gender, malocclusion complexity, and depression (p ≤ 0.05). Age was not significantly associated (p = 0.327). Concerning malocclusion complexity, 77.9% of the controls were distributed in the first three ICON levels; however, 76.5% of group A subjects and 90% of group B were in the last three (p < 0.001). The multinomial logistic regression showed a significant association between malocclusion complexity in group A (p < 0.05) and an association between depression and group B (p < 0.05). Group B had the highest grades of chronic pain. Conclusions. Females had greater risk of myofascial pain without mouth‐opening limitation. As the complexity of the malocclusion increases, so do the odds of presenting myofascial pain without mouth‐opening limitation. Myofascial pain with mouth‐opening limitation frequently coexists with depression and chronic pain.
Design and Application of Basketball Microservice Platform
Authors: Hou Xiangfeng , Wang Yihao
Published: June 2022

This study is aimed at the problems of low security, low response time, and poor functionality of the currently designed basketball microservice platform. A basketball microservice platform is designed. According to the definition and characteristics of microservice architecture, the proposed study expounds the related framework of Spring. Based on the feature vector of microservice architecture, the platform application client or other application requests are processed, the functional and nonfunctional requirements of the platform are analyzed, and the overall architecture of the basketball microservice platform is designed. According to the specific requirements of each module in the basketball microservice platform, the overall functional structure of the platform is designed based on the Spring Cloud framework and the Spring Boot framework. According to the monitored and managed entity objects of the microservice architecture infrastructure platform during operation, the relevant attributes of each object are described. Through the relational table designed by the microservice relational specification, various entity tables and relational information in the database are given to realize the design and application of the basketball microservice platform. The experimental results show that the proposed method has good functionality and can effectively improve the security and response time of the platform.
Study on Durability of Concrete under Alkali-Aggregate Reaction
Authors: Hei Mingchang , Fayou A. , Jia Xiong , Peng Wenbin , Yin Chuan
Published: June 2022

The alkali-aggregate reaction has always had a great impact on the safety and durability of concrete projects. Therefore, the study of concrete failure mechanism under alkali-aggregate reaction has become a hot topic in the engineering field. This paper takes the Longtanqing debris flow ditch concrete treatment project as the background. Based on the alkali-aggregate reaction inhibition test under different conditions, regression analysis and trend surface analysis were used to study the correlation between fly ash content, expansion rate of concrete specimens, and curing age. And the engineering measures are put forward to effectively inhibit the alkali-aggregate reaction: (1) the optimum amount of fly ash appears at 30%-40%, fly ash has the strongest ability to inhibit alkali-aggregate reaction; when the content of fly ash is less than 20%, the fly ash ability to inhibit alkali aggregate reaction is weak. (2) To lower the height of the alkali content of concrete, there is 35% of the grade I class F coal ash as concrete admixture.
Predicting the Investment Risk in Supply Chain Management Using BPNN and Machine Learning
Authors: Li Lan
Published: June 2022

The present work is aimed at solving the investment risks in the supply chain management (SCM) process of enterprises. Therefore, the Back Propagation Neural Network (BPNN) algorithm, logistic regression analysis, and other related theories are used for the risk prediction analysis of supply chain samples. Firstly, 40 pieces of supply chain training data are collected as research samples. Secondly, the examples are trained using the BPNN algorithm. Meanwhile, a logistic regression model is constructed based on Principal Component Analysis (PCA). Finally, the two models conduct risk prediction on the test samples. The results indicate that the BPNN model can effectively predict various risks in the SCM process. It achieves an excellent evaluation effect of single risks, consistent with the actual results. Still, there are some deviations between the prediction results and the actual results of mixed risks. When the significance

P

value is more than 0.5, the sample is predicted to be of high risk. When it is less than 0.5, the sample is predicted to be of low risk. The prediction accuracy of the logistic regression model is as high as 92.8%, demonstrating brilliant applicability and popularization in the investment risk prediction of the supply chain. The BPNN algorithm and logistic regression model can precisely predict the investment risk in SCM and provide a reference for the improved SCM and the sustainable and stable development of enterprises in the supply chain.
An Unusual Case of Breast Implant-Associated Anaplastic Large Cell Lymphoma
Authors: Premji Sarah , Barbieri Andreia , Roth Christine , Rohren Eric M. , Rivero Gustavo , Teegavarapu Sravanti P
Published: June 2022

Introduction. Breast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a rare disease entity associated with textured breast implants. Though the clinical course is typically indolent, BIA-ALCL can occasionally invade through the capsule into the breast parenchyma with spread to the regional lymph nodes and beyond including chest wall invasive disease. Case. We present the case of a 51-year-old female with a history of bilateral silicone breast implants placed approximately twenty years ago who presented with two months of progressively enlarging right breast mass. Ultrasound-guided biopsy of right breast mass and right axillary lymph node showed CD 30-positive ALK-negative anaplastic large cell lymphoma, and staging work up showed extension of the tumor to chest wall and ribs consistent with advanced disease. She received CHP-BV (cyclophosphamide, doxorubicin, prednisone, and brentuximab vedotin) for six cycles with complete metabolic response. This was followed by extensive surgical extirpation and reconstruction, radiation for residual disease and consolidation with autologous stem cell transplant. She is currently on maintenance brentuximab vedotin with no evidence of active disease post autologous stem cell transplant. Conclusion. Treatment guidelines for advanced chest wall invasive BIA-ALCL are not well defined. Lack of predictive factors warrants mutation analysis and genetic sequencing to identify those at highest risk of progression to chest wall invasive disease. This rare case highlights the need for definitive consensus on the optimal management of chest wall invasive BIA-ALCL.
Conscious Exploration of Alpha-Cuts in the Parametric Solution of the School Bus Routing Problem with Fuzzy Walking Distance
Authors: Sánchez-Ansola Eduardo , Pérez-Pérez Ana C. , Rosete Alejandro , Torres-Pérez Isis , Rojas Omar , Sosa-Gómez Guillermo
Published: June 2022

Combinatorial optimization problems allow for modeling multiple situations in which proper allocation of resources is needed. For some real-world problems, the use of fuzzy elements in the models allows for incorporating certain levels of uncertainty to better approximate such real-world situations. One way to solve combinatorial optimization problems with fuzzy elements is the parametric approach, where it is necessary to define how to explore different relaxation levels using alpha-cuts. Researchers tend to select such alpha-cuts uniformly. The current investigation proposes a novel strategy for selecting alpha-cuts in the School Bus Routing Problem with fuzzy students’ maximum walking distance. This proposal bases its foundations on the number of student-bus stop pairs available according to the different levels of relaxations allowed. Results demonstrate how the proposed strategy gives attractive solutions with more diverse trade-offs, contrasted with other methods in the literature. Furthermore, it decreases the computational cost for those instances where the maximum relaxation does not provide new pairs of students-bus stops.
Computer Network Confidential Information Security Based on Big Data Clustering Algorithm
Authors: Liu Weigang
Published: June 2022

Attacks on network systems are becoming more and more common, the current state of increasingly sophisticated attack methods, the emergence of intrusion prevention technology is the inevitable result of the development of computer technology and network technology, and research on intrusion prevention has become a new focus of network security technology research in recent years. In order to ensure the security of computer network confidential information, the authors propose a semisupervised clustering intrusion detection algorithm. An overview of machine learning, followed by an explanation of the theory of cluster analysis, simulation experiments were carried out using the

K

-means algorithm and the semisupervised clustering algorithm proposed by the author, for 10,000 records, the

K

-means clustering algorithm and the semisupervised clustering algorithm described in this paper are used, respectively, and intrusion detection data tests were performed. At the same time, different

K

values were selected, three datasets were selected from “kddcup.newtestdata_10_percent_corrected,” the test data were tested separately, and their average value was taken as the test result. From the simulation results, the detection rate of the semisupervised clustering algorithm is higher than that of the

K

-means clustering algorithm, and the false alarm rate and

K

-means algorithms have also been improved. Therefore, the author’s semisupervised algorithm enhances the stability of the system, and the performance of the

K

-means algorithm is improved to a certain extent. When the value of

K

gradually increases, the false alarm rate also increases; however, when

K

is 20, the detection rate is maximized, from this, it can be known that when

K

is 20, its detection rate reaches 91.76%, and the false alarm rate is 8.54%. The detection rate of the author’s algorithm is significantly higher than the other two algorithms, the false positive rate is slightly higher than

K

-means, and the false positive rate is lower than that of the other algorithm, proving the superior performance of our algorithm.
Investigating Rotor Conditions on Wind Turbines Using Integrating Tree Classifiers
Authors: Saha Bikash Chandra , Dhanraj Joshuva Arockia , Sujatha M. , Vallikannu R. , Alanazi Mohana , Almadhor Ahmad , Sathyamurthy Ravishankar , Erko Kuma Gowwomsa , Sugumaran V.
Published: June 2022

Renewable wind power is productive and feasible to manage the energy crisis and global warming. The wind turbine’s blades are the essential components. The dimension of wind turbine blades has been increased with blade sizes varying from approx. 25 m up to approx. 100 m or even greater with a specific purpose to increase energy efficiency. While wind turbine blades tend to be highly stressed by environmental conditions, the wind turbine blade must be constantly tested, inspected, and monitored for wind turbine blades safety monitoring. This research presents a methodology adaptation on machine learning technique for appropriate classification of different failure conditions on blade during turbine operation. Five defects were reported for the diagnosis study of defective wind turbine rotor blades, and the considered defects are blade crack, erosion, loose hub blade contact, angle twist, and blade bend. The statistical features have been drawn from the recorded vibration signals, and the important features was selected through J48 classifier. Eight tree-dependent classifiers were used to categorize the state of the rotor blades. Among the classifiers, the least absolute deviation tree performed better with the classification percentage of 90% (

Kappa
 
statistics
=
0.88

,

MAE
=
0.0362

, and

RMSE
=
0.1704

) with a computational time of 0.06 s.
A Pressure-Based Electromagnetic Energy Harvester for Pipeline Monitoring Applications
Authors: Bakhtiar Sadia , Khan Farid Ullah , Rahman Wahad Ur , Khan Atif Sardar , Ahmad Muhammad Masood , Iqbal Muhammad
Published: June 2022

This work presents modeling, simulation, fabrication, and testing of a novel flow-based electromagnetic energy harvester (F-EMEH) for producing usable electrical energy from the pulsating fluid pressure levels within the pipeline. The power produced by the developed harvester can be effectively utilized for the operation of the wireless monitoring system of pipeline networks. The devised F-EMEH harvester consists of a stationary magnet positioned in the upper cap of the harvester and directly facing the wound coil that is fixed to a flexible latex membrane. The membrane along the coil when exposed to the pulsating fluid flow in the pipeline oscillates with respect to the stationary magnet. This relative motion of the membrane induced the voltage across the coil terminals. The harvester when applied to a pressure amplitude of 625 Pa generated an open circuit voltage of 1.2 V and a maximum load power of 18.6 μW when connected to 4.3 Ω load. Furthermore, when integrated to a voltage rectifier, an open circuit output of 4 V DC is achieved by the device at a pressure of 625 Pa. In addition, with the developed prototype, a 3.6 V, battery is charged up to 3.2 V within 30 min of duration. The voltage and power levels attained by the energy harvester can provide an easy solution for powering wireless sensor nodes mounted on a pipeline network for condition monitoring.
Research on Intelligent Recognition and Management of Smart City Based on Machine Vision
Authors: Liu Rulin , Liu Longfeng
Published: June 2022

In recent years, with the rapid development of science and technology, people’s demand for the quality of daily production and life has gradually increased, and all localities are gradually urbanized. The convenient use of water conservancy, transportation, environment, medical treatment, power grid and other aspects of cities in any country affects people’s healthy life. Therefore, it is urgent to build a smart city. For smart city, intelligent identification and management is a very large and complex problem. As one of the high and new technologies, the intelligent recognition of machine vision derived from artificial intelligence has always been a hot spot of great concern. It just provides convenience for the development of smart city and becomes the development direction of smart city construction in the future. Based on this, the role of machine vision is to connect with the computer through wireless sensors such as cameras to simulate an eye that can represent human visual function. This simulated eye can be recognized intelligently in real time. It transmits the recognized information to the computer, and the computer will analyze and process the obtained information for judgment and recognition. This paper will mainly use the optimal threshold segmentation algorithm based on Machine Vision video processing to solve the problem of urban intelligent recognition, and use a specific algorithm to solve some difficulties and obstacles in intelligent recognition. The traditional optimal threshold segmentation algorithm, the optimal threshold segmentation algorithm and the improved optimal threshold segmentation algorithm are experimentally compared. After experimental comparison, it is found that the optimal threshold segmentation algorithm, the improved optimal threshold segmentation algorithm and the traditional optimal threshold segmentation algorithm can intelligently identify the types of buildings and urban traffic signs in the city, Compared with the improved optimal threshold segmentation algorithm, the improved optimal threshold segmentation algorithm improves the response speed, real-time performance, stability and accuracy of the algorithm. Therefore, the optimal threshold segmentation algorithm after the well meets the needs of building the system, and can be useful in the process of intelligent recognition. This improvement is also necessary, which is conducive to the subsequent system construction.
Experimental Study on Damage and Fracture of Rock-like Mass Based on Intelligent Data Analysis
Authors: Jiang Jun , Hou Zhengmeng , Hou Kepeng , Lu Yongfeng , Sun Huafen , Niu Xiangdong
Published: June 2022

Rock-like damage and fracture are a common geological phenomenon. It not only affects the construction quality and safety of the project but also affects the economic benefits. This study uses the finite element method to calculate the numerical simulation of rock. Therefore, we must study and explore it to improve the success rate and efficiency of drilling under such problems. This study conducts systematic analysis through experimental research on the theoretical knowledge of internal failure and stability of rock-like masses and other related finite element methods. On the basis of predecessors, combined with the professional knowledge I have learned, a set of relatively complete solutions is proposed. This study mainly uses the experimental analysis method and data collection method to study cloud computing related technology and finite element method, rock tensile fracture, and numerical model. According to the experiment, it can be concluded that the degree of rock crack development gradually increases with age. In the early and late stages of stretching, the rock mass will be significantly enhanced by the stress concentration.
Real-Life Use of Tocilizumab in the Treatment of Severe COVID-19 Pneumonia
Authors: Alex Ruth , Gulam Shabaz Mohiuddin , Kumar Kiran
Published: June 2022

Introduction. Coronavirus disease 2019 (COVID-19) can progress to severe respiratory compromise and lead to mortality due to induction of cytokine storm. Tocilizumab (TCZ) is approved by the FDA for the treatment of cytokine release syndrome (CRS). This study aims to analyze the outcomes among patients who received TCZ in the United Arab Emirates. Methods. A retrospective cohort study was conducted among COVID-19 patients who received TCZ in a tertiary care hospital from May 2020 to August 2021. For analysis, patients were divided into two groups based on survival and clinical improvement. Results. Overall, 80% of patients receiving TCZ were discharged by day 28. There was a gradual improvement in oxygen requirements in our patients with a majority of them on room air by day 28. Age more than 50 years (

P
=
0.034

) and comorbidities such as cardiovascular disease (CVD) (

P
=
0.002

) and renal insufficiency (

P
=
0.013

) were significantly associated with mortality. Discussion. In our analysis, patients who were mechanically ventilated at the time of administration of TCZ had a significantly higher risk of death by day 28. In both survived and improved groups, younger patients had better outcomes than older patients. Patients who received TCZ earlier during therapy from the onset of symptoms had better survival outcomes. There was only one death among 14 patients who received vaccination. There was no significant difference in mortality among patients with comorbidities such as diabetes, hypertension, dyslipidemia, obesity, and pulmonary diseases, hypothesizing that administration of TCZ improves the outcomes in COVID-19 patients with these comorbidities.
Monitoring Area Coverage Based on Improved Virtual Force and Multimedia Nodes Movement Data in Mobile Wireless Sensor Networks
Authors: Li Qiangyi , Liu Ningzhong
Published: June 2022

High-quality network coverage can quickly and accurately collect the data in the monitoring area and complete the task of target monitoring in wireless sensor networks. The existing related work focuses on improving the effect of network coverage and reducing the consumption of network resources. Aiming at the problems of coverage blind area and node redundancy in network coverage, a monitoring area coverage algorithm based on an improved virtual algorithm is proposed by improving the existing virtual force algorithm. This algorithm controls the moving direction and distance of nodes by adjusting the distance between nodes. Make the node move to a reasonable position, improve the coverage effect of the network, and reduce the moving distance of the node. The simulation results show that compared with the DNDVF algorithm and VFADP algorithm, this algorithm has a better application effect, can improve the coverage effect, and reduce the moving distance of nodes.
Study on Strength Development and Microstructure of Cement-Solidified Peat Soil Containing Humic Acid of Dianchi Lake
Authors: Cao Jing , Huang Siyang , Liu Wenlian , Gao Yue , Song Yunfei , Li Songpo
Published: June 2022

The disposal of peat soil poses an increasingly difficult problem for actual engineering projects of Dianchi Lake area. This study obtains peat soil from seven areas around Dianchi Lake, and the content of humic acid (HA) in peat soil is between 2.36% and 28.13%. Then, this study simulates the peat soil by adding HA into the cohesive soil and uses cement to solidify it. The effect of cement and HA on the strength development of samples is examined by the unconfined compressive strength (UCS) test. Additionally, the microstructures of typical mixes are analyzed by scanning electron microscopy (SEM), X-ray diffraction (XRD), and mercury intrusion porosimetry (MIP). The results showed that HA will significantly reduce the UCS of cement soil. The SEM, XRD, and MIP confirmed that cement hydration reaction increases with cement ratio. In addition to the cementitious soil particles, hydration products gradually fill the pores of the soil and effectively reduce the number of large-size (6000∼40,000 nm) pores in cement soil, which makes the soil particle framework stronger. When the cement ratio increases from 15% to 25%, the diffraction peak of CAH and CSH increases faster. Combined with the results of the UCS test, it could be proved that cement ratio greater than 20% weakens the influence of HA on the strength development of cement soil sample.
Analysis of Factors Affecting the Effectiveness of Military and Security Mechanisms
Authors: Hao Yichen
Published: June 2022

The paper explores the factors that will influence the effectiveness of global military and security mechanisms. This topic has been studied for many years, however, scholars’ perspectives are limited to explain this topic, especially for the dynamics of these mechanisms. To address this limitation, the paper discusses the development of current military and security mechanisms and compares their differences based on various reasons using different case studies. Through the analysis of factors on the impacts of military and security mechanisms, the paper hopes to provide new perspectives that can help understand this issue and explores ways to distinguish the effectiveness of military and security mechanisms in reality.
Evaluation Index of Basketball Teaching Environment Based on the Wireless Communication Network and Genetic Algorithm
Authors: Luo Yueping
Published: June 2022

With the advent of the new era, all fields in China are full of vitality. In particular with the vigorous development of network science and technology, many fields are going through a huge change or in the near future. As an important part of the development goal of China’s “sports power,” physical education is also undergoing changes. With the successful conclusion of the Winter Olympics in China, this grand event has added an important stroke to the development of sports in China. In the process of physical education and teaching, the environment of physical education is extremely important. Compared with nonphysical education subjects, it has the characteristics of direct contact between teachers and students and the time of the course teaching process. This paper studies the evaluation index of basketball teaching environment. As a part of physical education environment, it has the general characteristics of physical education environment, but it has its own characteristics. People in the environment are constantly experiencing the influence of the environment on their own individual. Therefore, the research on the evaluation indicators of the basketball teaching environment will play an important role for the students involved. For the research of the mentioned basketball teaching environment evaluation index, this paper proposes the application of genetic algorithm and wireless network technology; the purpose is to make a more scientific and comprehensive target evaluation system for the basketball environment evaluation index. In the simulation experiment of the teaching environment evaluation index, this paper selected a total of 164 people of different grades. The final result showed that 85.16% of the students gave positive comments to this evaluation system. This result confirms the research of this paper.
A Fast Holomorphic Embedding Power Flow Approach for Meshed Distribution Networks
Authors: Shamseldein M.
Published: June 2022

This paper proposes a novel holomorphic embedding approach for solving the nonlinear power flow equation for meshed electric distribution networks with ZIP load model. In the proposed approach, bus voltages are modelled as holomorphic functions in the constant power injections and then expanded using Maclurin series. The Z-bus matrix is implicitly used to calculate Maclurin series coefficients for the expanded voltage functions in a recursive manner. The necessary and sufficient conditions for the convergence of expanded voltage functions are found. Performance evaluations show that the proposed approach solves the nonlinear power flow equations faster than the existing approaches when applied to 18-, 33-, 69-, 141-, 3239-, 5701-, and 6921-bus distribution network test cases.
Deuterium Metabolic Imaging Reports on TERT Expression and Early Response to Therapy in Cancer
Authors: Batsios Georgios , Taglang Céline , Tran Meryssa , Stevers Nicholas , Barger Carter , Gillespie Anne Marie , Ronen Sabrina M. , Costello Joseph F. , Viswanath Pavithra
Published: June 2022

Purpose:

Telomere maintenance is a hallmark of cancer. Most tumors maintain telomere length via reactivation of telomerase reverse transcriptase (TERT) expression. Identifying clinically translatable imaging biomarkers of TERT can enable noninvasive assessment of tumor proliferation and response to therapy.

Experimental Design:

We used RNAi, doxycycline-inducible expression systems, and pharmacologic inhibitors to mechanistically delineate the association between TERT and metabolism in preclinical patient-derived tumor models. Deuterium magnetic resonance spectroscopy (2H-MRS), which is a novel, translational metabolic imaging modality, was used for imaging TERT in cells and tumor-bearing mice in vivo.

Results:

Our results indicate that TERT expression is associated with elevated NADH in multiple cancers, including glioblastoma, oligodendroglioma, melanoma, neuroblastoma, and hepatocellular carcinoma. Mechanistically, TERT acts via the metabolic regulator FOXO1 to upregulate nicotinamide phosphoribosyl transferase, which is the key enzyme for NAD+ biosynthesis, and the glycolytic enzyme glyceraldehyde-3-phosphate dehydrogenase, which converts NAD+ to NADH. Because NADH is essential for pyruvate flux to lactate, we show that 2H-MRS–based assessment of lactate production from [U-2H]-pyruvate reports on TERT expression in preclinical tumor models in vivo, including at clinical field strength (3T). Importantly, [U-2H]-pyruvate reports on early response to therapy in mice bearing orthotopic patient-derived gliomas at early timepoints before radiographic alterations can be visualized by MRI.

Conclusions:

Elevated NADH is a metabolic consequence of TERT expression in cancer. Importantly, [U-2H]-pyruvate reports on early response to therapy, prior to anatomic alterations, thereby providing clinicians with a novel tool for assessment of tumor burden and treatment response in cancer.
Silikose ohne Bergbau – neue Gefahren durch Küchenarbeitsplatten
Authors: Velasco Garrido Marcial , Preisser Alexandra M.
Published: June 2022

Background: Engineered stone silicosis is an emerging disease in many countries worldwide produced by the inhalation of respirable dust of engineered stone. This silicosis has a high incidence among young workers, with a short latency period and greater aggressiveness than silicosis caused by natural materials. Although the silica content is very high and this is the key factor, it has been postulated that other constituents in engineered stones can influence the aggressiveness of the disease. Different samples of engineered stone countertops (fabricated by workers during the years prior to their diagnoses), as well as seven lung samples from exposed patients, were analyzed by multiple techniques. Results: The different countertops were composed of SiO2 in percentages between 87.9 and 99.6%, with variable relationships of quartz and cristobalite depending on the sample. The most abundant metals were Al, Na, Fe, Ca and Ti. The most frequent volatile organic compounds were styrene, toluene and m-xylene, and among the polycyclic aromatic hydrocarbons, phenanthrene and naphthalene were detected in all samples. Patients were all males, between 26 and 46 years-old (average age: 36) at the moment of the diagnosis. They were exposed to the engineered stone an average time of 14 years. At diagnosis, only one patient had progressive massive fibrosis. After a follow-up period of 8 ± 3 years, four patients presented progressive massive fibrosis. Samples obtained from lung biopsies most frequently showed well or ill-defined nodules, composed of histiocytic cells and fibroblasts without central hyalinization. All tissue samples showed high proportion of Si and Al at the center of the nodules, becoming sparser at the periphery. Al to Si content ratios turned out to be higher than 1 in two of the studied cases. Correlation between Si and Al was very high (r = 0.93). Conclusions: Some of the volatile organic compounds, polycyclic aromatic hydrocarbons and metals detected in the studied countertop samples have been described as causative of lung inflammation and respiratory disease. Among inorganic constituents, aluminum has been a relevant component within the silicotic nodule, reaching atomic concentrations even higher than silicon in some cases. Such concentrations, both for silicon and aluminum showed a decreasing tendency from the center of the nodule towards its frontier.
Health and Sustainable Nutritional Choices from Childhood: Dietary Pattern and Social Models
Authors: Mazzocchi Alessandra , De Cosmi Valentina , Milani Gregorio P. , Agostoni Carlo
Published: June 2022

Background: The role of diet in the pediatric age for optimal development, achievement, and maintenance of a healthy status is well recognized. Increasing attention is nowadays also paid to reducing the burden of human nutrition on the planet’s health for present and future generations. Summary: Beyond environmental sustainability, the transition to diets rich in animal and processed foods contributes to an overall unhealthy nutritional status leading to an increased prevalence of obesity- and diet-related noncommunicable diseases. Childhood overweight and obesity are a growing public health crisis worldwide. The aim of this narrative review was to summarize evidence of the nutritional status and dietary habits in children and the link with environmental sustainability. Key Message: Optimizing nutrition in infancy and establishing healthy lifestyles from the preschool years might help to reduce the risk of overweight, and all the disorders related, respecting the sustainability dimension.
Analysis of Geographic and Environmental Factors and Their Association with Cutaneous Melanoma Incidence in Canada
Authors: Berman-Rosa Melissa , Logan James , Ghazawi Feras M. , Le Michelle , Conte Santina , Netchiporouk Elena , Mukovozov Ilya M. , Cyr Janelle , Mourad Ahmed , Miller Wilson H. , Claveau Joël , Salopek Thomas G. , Gniadecki Robert , Sasseville Denis , Rahme Elham , Lagacé François , Litvinov Ivan V.
Published: June 2022

Background: Over 90% of skin cancers including cutaneous melanoma (CM) are related directly to sun exposure. Despite extensive knowledge on ultraviolet radiation’s (UVR) detrimental impact, many still fail to implement sun protection/sun avoidance. Human behavior, attitudes, and cultural norms of individuals and communities heavily depend on the surrounding climate/environment. In many instances, the climate shapes the culture/norms of the society. Canada has vast geographic/environmental differences. Methods: In the current ecological study, we sought to examine the relationship between various geographic and environmental factors and the distribution of CM incidence by Forward Sortation Area (FSA) postal code across Canada. CM incidence data were extracted from the Canadian Cancer Registry, while environmental data were extracted from the Canadian Urban Environmental Health Research Consortium (greenspace, as measured by the normalized difference vegetation index; annual highest temperature; absolute number and average length of yearly heat events; annual total precipitation [rain and snow]; absolute number and average length of events with precipitation [rain and snow]; and summer UVR index). The above geographic/environmental data by FSA were correlated with the respective CM incidence employing negative binomial regression model. Results: Our analysis highlights that increases in annual average temperature, summer UVR, and greenspace were associated with higher expected incidence of CM cases, while higher number of annual heat events together with highest annual temperature and higher average number of annual rain events were associated with a decrease in CM incidence rate. This study also highlights regional variation in environmental CM risk factors in Canada. Conclusions: This national population-based study presents clinically relevant conclusions on weather/geographic variations associated with CM incidence in Canada and will help refine targeted CM prevention campaigns by understanding unique weather/geographic variations in high-risk regions.
Neurodevelopmental Outcome of Extremely Low Birth Weight Infants with Cholestasis at 12 and 24 Months
Authors: Thanhaeuser Margarita , Steyrl David , Fuiko Renate , Brandstaetter Sophia , Binder Christoph , Thajer Alexandra , Huber-Dangl Mercedes , Haiden Nadja , Berger Angelika , Repa Andreas
Published: June 2022

Introduction: The aims of the study were to describe the neurodevelopmental outcome of extremely low birth weight (ELBW) infants with parenteral nutrition-associated cholestasis (PNAC) and to assess whether PNAC is associated with adverse neurodevelopmental outcome. Methods: The study is a secondary analysis of controlled trial (June 2012–October 2017) on PNAC incidence in ELBW infants receiving two different parenteral lipid emulsions (mixed lipid emulsion containing fish oil vs. soybean oil-based). Neurodevelopmental follow-up at 12- and 24-month corrected age was compared in infants with and without PNAC. A machine learning-based regression analysis was used to assess whether PNAC was associated with adverse neurodevelopmental outcome. Results: For assessment of neurodevelopmental outcome (Bayley-III), 174 infants were available at 12-month (PNAC: n = 21; no PNAC: n = 153) and 164 infants at 24-month (PNAC: n = 20; no PNAC: n = 144) corrected age. The neurodevelopment of ELBW infants with PNAC was globally delayed, with significantly lower cognitive, language, and motor scores at both 12- and 24-month corrected age. Regression analyses revealed that PNAC was associated with an adverse motor outcome. Conclusion: ELBW infants with PNAC are at increased risk for adverse neurodevelopmental outcome.
Association between RS Time in Electrocardiogram and Right Ventricular Functions in Patients with Chronic Obstructive Pulmonary Disease
Authors: Yildiz Ibrahim , Ozmen Yildiz Pinar , Sazlidere Husamettin , Gurevin Mehmet Sait , Rencuzogullari Ibrahim , Karabag Yavuz
Published: June 2022

Objective: The occurrence of right ventricular (RV) dysfunction in chronic obstructive pulmonary disease (COPD) results in an increased risk of mortality. We aimed to study the diagnostic value of RS time in the recognition of COPD patients with RV dysfunction. Methods: 120 consecutive COPD patients were divided into two groups, patients with and without RV dysfunction, and compared them in terms of parameters including RS time. RS time was defined as the longest interval from the beginning of the QRS complex to the nadir of the S- or S′-wave in the inferolateral leads on an electrocardiogram. Results: RV dysfunction was observed in 36% of consecutive COPD patients with a mean age of 63.4 ± 9.8 years (83.3% male) and a mean forced expiratory volume in 1 s of 1.51 ± 0.62 lt. The heart rate, right QRS axis deviation frequency, S1S2S3 pattern frequency, and RS time (p < 0.01) were significantly higher in the patients with RV dysfunction than in those without. Body surface area, heart rate, and RS time (p < 0.001) were independent predictors of an RV dysfunction. An ROC analysis showed that the best RS time cutoff value for the prediction of RV dysfunction was 60 ms with a sensitivity of 81.4% and a specificity of 74.0%. Conclusion: In patients with COPD, RS time prolongation, which can be easily and quickly determined from the electrocardiogram, may be a marker for RV dysfunction.