bluuebunny/crossref_metadata_2025 huggingface dataset:
A Survey on Encrypted Network Traffic Analysis Applications, Techniques, and Countermeasures
Authors: Papadogiannaki Eva , Ioannidis Sotiris
Published: July 2021

The adoption of network traffic encryption is continually growing. Popular applications use encryption protocols to secure communications and protect the privacy of users. In addition, a large portion of malware is spread through the network traffic taking advantage of encryption protocols to hide its presence and activity. Entering into the era of completely encrypted communications over the Internet, we must rapidly start reviewing the state-of-the-art in the wide domain of network traffic analysis and inspection, to conclude if traditional traffic processing systems will be able to seamlessly adapt to the upcoming full adoption of network encryption. In this survey, we examine the literature that deals with network traffic analysis and inspection after the ascent of encryption in communication channels. We notice that the research community has already started proposing solutions on how to perform inspection even when the network traffic is encrypted and we demonstrate and review these works. In addition, we present the techniques and methods that these works use and their limitations. Finally, we examine the countermeasures that have been proposed in the literature in order to circumvent traffic analysis techniques that aim to harm user privacy.
Machine Learning into Metaheuristics
Authors: Talbi El-Ghazali
Published: July 2021

During the past few years, research in applying machine learning (ML) to design efficient, effective, and robust metaheuristics has become increasingly popular. Many of those machine learning-supported metaheuristics have generated high-quality results and represent state-of-the-art optimization algorithms. Although various appproaches have been proposed, there is a lack of a comprehensive survey and taxonomy on this research topic. In this article, we will investigate different opportunities for using ML into metaheuristics. We define uniformly the various ways synergies that might be achieved. A detailed taxonomy is proposed according to the concerned search component: target optimization problem and low-level and high-level components of metaheuristics. Our goal is also to motivate researchers in optimization to include ideas from ML into metaheuristics. We identify some open research issues in this topic that need further in-depth investigations.
How Teams Communicate about the Quality of ML Models: A Case Study at an International Technology Company
Authors: Almahmoud Jumana , DeLine Robert , Drucker Steven M.
Published: July 2021

Machine learning (ML) has become a crucial component in software products, either as part of the user experience or used internally by software teams. Prior studies have explored how ML is affecting development team roles beyond data scientists, including user experience designers, program managers, developers and operations engineers. However, there has been little investigation of how team members in different roles on the team communicate about ML, in particular about the quality of models. We use the general term quality to look beyond technical issues of model evaluation, such as accuracy and overfitting, to any issue affecting whether a model is suitable for use, including ethical, engineering, operations, and legal considerations. What challenges do teams face in discussing the quality of ML models? What work practices mitigate those challenges? To address these questions, we conducted a mixed-methods study at a large software company, first interviewing15 employees in a variety of roles, then surveying 168 employees to broaden our understanding. We found several challenges, including a mismatch between user-focused and model-focused notions of performance, misunderstandings about the capabilities and limitations of evolving ML technology, and difficulties in understanding concerns beyond one's own role. We found several mitigation strategies, including the use of demos during discussions to keep the team customer-focused.
Vascular Mechanobiology: Homeostasis, Adaptation, and Disease
Authors: Humphrey Jay D. , Schwartz Martin A.
Published: July 2021

Cells of the vascular wall are exquisitely sensitive to changes in their mechanical environment. In healthy vessels, mechanical forces regulate signaling and gene expression to direct the remodeling needed for the vessel wall to maintain optimal function. Major diseases of arteries involve maladaptive remodeling with compromised or lost homeostatic mechanisms. Whereas homeostasis invokes negative feedback loops at multiple scales to mediate mechanobiological stability, disease progression often occurs via positive feedback that generates mechanobiological instabilities. In this review, we focus on the cell biology, wall mechanics, and regulatory pathways associated with arterial health and how changes in these processes lead to disease. We discuss how positive feedback loops arise via biomechanical and biochemical means. We conclude that inflammation plays a central role in overriding homeostatic pathways and suggest future directions for addressing therapeutic needs.
Bacteriophage-Bacteria Interactions in the Gut: From Invertebrates to Mammals
Authors: Kirsch Joshua M. , Brzozowski Robert S. , Faith Dominick , Round June L. , Secor Patrick R. , Duerkop Breck A.
Published: July 2021

Bacteria and their viruses (bacteriophages or phages) interact antagonistically and beneficially in polymicrobial communities such as the guts of animals. These interactions are multifaceted and are influenced by environmental conditions. In this review, we discuss phage-bacteria interactions as they relate to the complex environment of the gut. Within the mammalian and invertebrate guts, phages and bacteria engage in diverse interactions including genetic coexistence through lysogeny, and phages directly modulate microbiota composition and the immune system with consequences that are becoming recognized as potential drivers of health and disease. With greater depth of understanding of phage-bacteria interactions in the gut and the outcomes, future phage therapies become possible.
Measures of Function and Structure to Determine Phenotypic Features, Natural History, and Treatment Outcomes in Inherited Retinal Diseases
Authors: Cideciyan Artur V. , Krishnan Arun K. , Roman Alejandro J. , Sumaroka Alexander , Swider Malgorzata , Jacobson Samuel G.
Published: July 2021

Inherited retinal diseases (IRDs) are at the forefront of innovative gene-specific treatments because of the causation by single genes, the availability of microsurgical access for treatment delivery, and the relative ease of quantitative imaging and vision measurement. However, it is not always easy to choose a priori, from scores of potential measures, an appropriate subset to evaluate efficacy outcomes considering the wide range of disease stages with different phenotypic features. This article reviews measurements of visual function and retinal structure that our group has used over the past three decades to understand the natural history of IRDs. We include measures of light sensitivity, retinal structure, mapping of natural fluorophores, evaluation of pupillary light reflex, and oculomotor control. We provide historical context and examples of applicability. We also review treatment trial outcomes using these measures of function and structure.
Microcircuits for spatial coding in the medial entorhinal cortex
Authors: Tukker John J. , Beed Prateep , Brecht Michael , Kempter Richard , Moser Edvard I. , Schmitz Dietmar
Published: July 2021

The hippocampal formation is critically involved in learning and memory and contains a large proportion of neurons encoding aspects of the organism’s spatial surroundings. In the medial entorhinal cortex (MEC), this includes grid cells with their distinctive hexagonal firing fields as well as a host of other functionally defined cell types including head direction cells, speed cells, border cells, and object-vector cells. Such spatial coding emerges from the processing of external inputs by local microcircuits. However, it remains unclear exactly how local microcircuits and their dynamics within the MEC contribute to spatial discharge patterns. In this review we focus on recent investigations of intrinsic MEC connectivity, which have started to describe and quantify both excitatory and inhibitory wiring in the superficial layers of the MEC. Although the picture is far from complete, it appears that these layers contain robust recurrent connectivity that could sustain the attractor dynamics posited to underlie grid pattern formation. These findings pave the way to a deeper understanding of the mechanisms underlying spatial navigation and memory.
Analysis of the Curative Effect of Posterior Approach on Lumbar Brucellar Spondylitis with Abscess through Magnetic Resonance Imaging under Improved Watershed Algorithm
Authors: Feng Zuoji , Wang Xiaomei , Yin Xiling , Han Jingqi , Tang Weijie
Published: July 2021

To explore the performance of improved watershed algorithm in processing magnetic resonance imaging (MRI) images and the effect of the processed images on the treatment of lumbar brucellar spondylitis (BS) with abscess by the posterior approach, the watershed algorithm was improved by adding constraints such as noise reduction and regional area attribute. 50 patients with abscessed lumbar disc herniation admitted to the hospital from January 2018 to January 2019 were selected, and all of them were examined by MRI. They were rolled into two groups in random. The treatment group (n = 25) accepted surgery with the aid of MRI images processed by the improved watershed algorithm, and the control group (Ctrl group) (n = 25) accepted surgery with the aid of unprocessed MRI images. The improved watershed algorithm can accurately segment the spine, and the segmentation results were relatively excellent. In contrast with the unprocessed MRI image, that processed by the improved watershed algorithm had a positive effect on the operation. In contrast with the Ctrl group, the visual analogue scale pain score (VAS), oxygen desaturation index (ODI), erythrocyte sedimentation rate (ESR), and high sensitivity C-reactive protein (CRP) were obviously lower (

p
<
0.05

). The improved watershed algorithm proposed performs better in MRI image processing and can effectively enhance the resolution of MRI images. At the same time, the posterior approach has a good effect in the treatment of lumbar BS with abscess and is worthy of clinical promotion.
Free and Forced Vibration Characteristics Analysis of a Multispan Timoshenko Beam Based on the Ritz Method
Authors: Gao Cong , Pang Fuzhen , Li Haichao , Wang Hongfu , Cui Jie , Huang Jisi
Published: July 2021

The uniform formulation of dynamic vibration analysis of multispan beams is presented by using an efficient domain decomposition method in this paper. Firstly, the structure is divided into several equal sections based on domain decomposition method. Next, the artificial spring is used to simulate complex boundaries and continuity condition of multispan beam. Finally, the admissible displacement functions are expanded through Jacobi orthogonal polynomials, and the free and forced vibration characteristics of multispan beam structures can be obtained by using Rayleigh–Ritz method. Results for various boundary conditions, ratios of thickness to length (h/L), numbers, and stiffness of supporting springs are presented. It is clearly shown that accurate solutions can be obtained by using the proposed method, and this study extends the application range of the Jacobi polynomials‐Ritz method. In addition, the research results of this paper can provide data support for engineers such as bridge designers to design multispan bridges.
Retinal Vascular Changes during the Menstrual Cycle Detected with Optical Coherence Tomography Angiography
Authors: Guo Linning , Zhu Chenlei , Wang Ziqi , Gao Zhiqiang , Zhang Zongduan , Pan Qintuo
Published: July 2021

Purpose. To evaluate the effects of the menstrual cycle on the retinal vascular status of healthy women by optical coherence tomography angiography (OCTA). Materials and Methods. Healthy women with regular natural menstrual cycles of 28 to 30 days were recruited for this prospective study. The women’s retinal vascular status was measured by OCTA at 3 time points: the early follicular, ovulatory, and midluteal phases of the menstrual cycle. The main outcome measures were foveal avascular zone (FAZ) parameters, perfusion density (PD) percentage in the superficial retinal capillary plexus (SCP), and PD percentage in the deep retinal capillary plexus (DCP). The mean arterial pressure (MAP), spherical equivalent (SE), best-corrected visual acuity (BCVA), intraocular pressure (IOP), and axial (AL) were also measured in a same menstrual cycle. Results. In total, 62 right eyes of 62 women were included in the study. The mean age was 27.0 ± 1.73 (range, 24 to 31) years, and the mean menstrual cycle was 28.90 ± 0.84 (range, 28 to 30) days. The mean values of the DCP-PD parameters were significantly decreased in the nasal and inferior ETDRS subfields during the ovulatory phase. The mean DCP-PD in the nasal ETDRS subfield in the early follicular, ovulatory, and luteal phases was 54.11 ± 2.85, 56.39 ± 3.03, and 55.70 ± 3.27, respectively. The mean DCP-PD in the inferior ETDRS subfield in the early follicular, ovulatory, and midluteal phases was 52.90 ± 3.30, 54.86 ± 2.51, and 55.21 ± 2.64, respectively. No significant differences were found in MAP, SE, AL, IOP, FAZ area, or other quadrants of PD parameters, and no significant correlation was found between parameters by OCTA and age, MAP,SE, axial length, or IOP. Conclusions. The DCP-PD decreased in the nasal and inferior ETDRS subfields during the ovulatory phase in our study. This may indicate the need to consider the menstrual phase when interpreting DCP-PD parameters by OCTA in healthy women.
Student Physical Health Information Management Model under Big Data Environment
Authors: Wang Hui , Wang Ning , Li MeiJie , Mi Simeng , Shi YaYa
Published: July 2021

Health is considered an important foundation for students’ success. However, with the accelerated pace of life, rising pressure from various parties, weak health awareness, lack of exercise time, and other reasons, students’ physical quality is generally declining, the incidence of health diseases is increasing, and the onset age tends to be younger. With the development of the concept of “health first,” health management continues to expand and extend and students’ health management has attracted more attention from many aspects. Due to the late and low starting point of health management research and the lack of professional theoretical support, a complete, mature, and effective health management service system has not been established to deal with the students’ health. In order to make student health management more scientific, normative, and effective, this article has proposed big data technology to build the student health information management model. The first step of the approach is to store and analyze the data of students’ physical health. It is necessary to combine the data collection, supervision, data analysis, and data application of students’ physical health and gradually improve the national monitoring and evaluation system of students’ physical health. Student health check-up management platform is mainly used in realizing the school student information management and student health information relationship between system, science, standardization, and automation, and its main task is to use a computer to perform daily management of all previous medical information of students, such as query, modify, add, delete, and enhance the physical health of students information management ability given the large data analysis of useful information. In addition, we have built a doctor recommendation model based on online questions and answers to give specific health recommendations for students of different physiques.
Electric Field Controlled Itinerant Carrier Spin Polarization in Ferromagnetic Semiconductors
Authors: Assefa Gezahegn
Published: July 2021

Electric field control of magnetic properties has been achieved across a number of different material systems. In diluted magnetic semiconductors (DMSs), ferromagnetic metals, multiferroics, etc., electrical manipulation of magnetism has been observed. Here, we study the effect of an electric field on the carrier spin polarization in DMSs (

GaAsMn

); in particular, emphasis is given to spin-dependent transport phenomena. In our system, the interaction between the carriers and the localized spins in the presence of electric field is taken as the main interaction. Our results show that the electric field plays a major role on the spin polarization of carriers in the system. This is important for spintronics application.
A Novel Region-Extreme Convolutional Neural Network for Melanoma Malignancy Recognition
Authors: Nida Nudrat , Irtaza Aun , Yousaf Muhammad Haroon
Published: July 2021

Melanoma malignancy recognition is a challenging task due to the existence of intraclass similarity, natural or clinical artefacts, skin contrast variation, and higher visual similarity among the normal or melanoma-affected skin. To overcome these problems, we propose a novel solution by leveraging “region-extreme convolutional neural network” for melanoma malignancy recognition as malignant or benign. Recent works on melanoma malignancy recognition employed the traditional machine learning techniques based on various handcrafted features or the recently introduced CNN network. However, the efficient training of these models is possible, if they localize the melanoma affected region and learn high-level feature representation from melanoma lesion to predict melanoma malignancy. In this paper, we incorporate this observation and propose a novel “region-extreme convolutional neural network” for melanoma malignancy recognition. Our proposed region-extreme convolutional neural network refines dermoscopy images to eliminate natural or clinical artefacts, localizes melanoma affected region, and defines precise boundary around the melanoma lesion. The defined melanoma lesion is used to generate deep feature maps for model learning using the extreme learning machine (ELM) classifier. The proposed model is evaluated on two challenge datasets (ISIC-2016 and ISIC-2017) and performs better than ISIC challenge winners. Our region-extreme convolutional neural network recognizes the melanoma malignancy 85% on ISIC-2016 and 93% on ISIC-2017 datasets. Our region-extreme convolutional neural network precisely segments the melanoma lesion with an average Jaccard index of 0.93 and Dice score of 0.94. The region-extreme convolutional neural network has several advantages: it eliminates the clinical and natural artefacts from dermoscopic images, precisely localizes and segments the melanoma lesion, and improves the melanoma malignancy recognition through feedforward model learning. The region-extreme convolutional neural network achieves significant performance improvement over existing methods that makes it adaptable for solving complex medical image analysis problems.
Online Data Migration Model and ID3 Algorithm in Sports Competition Action Data Mining Application
Authors: Ju Li , Huang Lei , Tsai Sang-Bing
Published: July 2021

The ID3 algorithm is a key and important method in existing data mining, and its rules are simple and easy to understand and have high application value. If the decision tree algorithm is applied to the online data migration of sports competition actions, it can grasp the sports competition rules in the relationship between massive data to guide sports competition. This paper analyzes the application performance of the traditional ID3 algorithm in online data migration of sports competition actions; realizes the application steps and data processing process of the traditional ID3 algorithm, including original data collection, original data preprocessing, data preparation, constructing a decision tree, data mining, and making a comprehensive evaluation of the traditional ID3 algorithm; and clarifies the problems of the traditional ID3 algorithm. Mainly, the problems of missing attributes and overfitting are clarified, which provide directions for the subsequent algorithm optimization. Then, this paper proposes a k‐nearest neighbor‐based ID3 optimization algorithm, which selects values similar to k‐nearest neighbors to fill in the missing values for the attribute missing problem of the traditional ID3 algorithm. Based on this, the improved algorithm is applied to the online data migration of sports competition actions, and the application effect is evaluated. The results show that the performance of the k‐nearest neighbor‐based ID3 optimization algorithm is significantly improved, and it can also solve the overfitting problem existing in the traditional ID3 algorithm. For the overall classification problem of six types of samples of travel patterns, the experimental data samples have the characteristics of high data quality, a considerable number of samples, and obvious sample differentiation. Therefore, this paper also uses the deep factorization machine algorithm based on deep learning to classify the six classes of travel patterns of sports competition action data using the previously extracted relevant features. The research in this paper provides a more accurate method and a higher‐performance online data migration model for sports competition action data mining.
A Novel Ultrawideband Gear-Shaped Dielectric Ring Resonator Antenna
Authors: Ghorbani Mehdi , Ghorbaninejad Habib
Published: July 2021

In this study, a novel ultrawideband (UWB) dielectric ring resonator (DRR) antenna has been proposed. DRR antennas include a single monopole antenna in the center of a ground plane and a dielectric with a symmetric structure around the monopole. This structure will lead to ultrawide band antenna. However, it is still possible to enhance the antenna bandwidth. In this study, we combine the DRR structure with an array antenna. The proposed antenna includes a circular array of four triangle resonators, which is rotated around the center of the triangle base to form a gear-shaped ring resonator antenna. In this design, characteristics of all these antennas are combined to enhance the antenna bandwidth including triangular dielectric resonator, circular array antenna, dielectric ring resonator structure, and a quarter-wave electric monopole. Triangular dielectric resonator antennas are wideband and in small size. Ring resonator antennas are inherently ultrawideband. Quarter-wave electric monopole and circular array structure can also enhance antenna bandwidth. This novel shape of the DRR antenna possesses the wider impedance bandwidth compared to similar works. Impedance bandwidth is 150% (5.2–36.1 GHz), and the bandwidth ratio is 1 : 6.9, which is much greater than earlier reports.
Performance Evaluation of CFRP Strengthened Corrosion‐Proof Columns
Authors: Mirdarsoltany Mohammadamin , Rahai Alireza , Kabir Mohammad Zaman
Published: July 2021

The application of FRP composites in recent years has attracted much attention. Lightweight, high strength, and corrosion resistance are among the properties that make this material available in various forms in construction engineering. The present study analyzed the performance of carbon fiber‐reinforced accelerated corrosion‐proof box. Nine columns without corrosion and cross‐corrosion reinforcement were tested in laboratory and software. Syntax reinforcement was applied locally to the damaged area with respect to a transverse and longitudinal layer. The results of the axial test showed that, due to corrosion, the damaged site was weakened by the loading and severe resistance decreased, and the range of damage points due to the axial load was highly deformed compared to the initial state. The damage caused on both sides of the steel column had a significant effect on reducing the hardness and deformation of the steel columns; it is worth noting that the corrosion on both sides of the steel column had the most variations among the samples. Application of CFRP with 2 layers in the damaged steel columns resulted in increased bearing capacity and hardness in the affected area due to corrosion so that reinforcement of these columns by carbon fibers improved the axial strength.
The Clinical Value of the Combined Detection of Enhanced CT, MRI, CEA, and CA199 in the Diagnosis of Rectal Cancer
Authors: Hao Cuijuan , Sui Yanbin , Li Jian , Shi Yunxia , Zou Zhenxing
Published: July 2021

Background. To explore the clinical value of enhanced computed tomography (enhanced CT), magnetic resonance imaging (MRI), carcinoembryonic antigen (CEA), and cancer antigen 199 (CA199) in the diagnosis of rectal cancer (RC). Methods. A total of 156 patients with RC confirmed by postoperative pathology admitted to the Affiliated Yantai Yuhuangding Hospital of Qingdao University from March 2018 to November 2020 were included in the malignant group, and 52 patients with chronic proctitis in the benign control group. All patients underwent preoperative enhanced CT, MRI scans, and serum CEA and CA199 tests. The accuracy, sensitivity, and specificity of single and combined enhanced CT, MRI, CEA, and CA199 tests for the clinical staging of RC were calculated. Results. The postoperative pathological diagnosis showed that 35 cases of 156 RC patients were at T1 stage, 29 cases were at T2 stage, 24 cases were at T3 stage, 11 cases were at T4 stage, 23 cases were at N0 stage, 21 cases were at N1 stage, 8 cases were at N2 stage, 3 cases were at M0 stage, and 2 cases were at M1 stage. The positive rate of MRI in the diagnosis of RC was higher than that of enhanced CT. Serum CEA and CA199 levels in the malignant group were significantly increased compared with the benign group. The sensitivity, specificity, and accuracy of the combined detection were significantly higher than those of the single detection. Conclusion. Compared with enhanced CT, MRI has a higher detection rate of T and N stage in patients with RC. Combined enhanced CT, MRI, CEA, and CA199 can provide more accurate diagnosis and preoperative staging of RC patients.
Is Bigger Better? Living Donor Kidney Volume as Measured by the Donor CT Angiogram in Predicting Donor and Recipient eGFR after Living Donor Kidney Transplantation
Authors: Ebad Chaudhry Adeel , Brennan David , Chevarria Julio , Hussein Mohammad Bin , Sexton Donal , Mulholland Douglas , Doyle Ciaran , O’Kelly Patrick , Williams Yvonne , Dunne Ruth , O’Seaghdha Conall , Little Dilly , Morrin Martina , Conlon Peter J.
Published: July 2021

Background. The role of kidney volume measurement in predicting the donor and recipient kidney function is not clear. Methods. We measured kidney volume bilaterally in living kidney donors using CT angiography and assessed the association with the donor remaining kidney and recipient kidney (donated kidney) function at 1 year after kidney transplantation. Donor volume was categorized into tertiles based on lowest, middle, and highest volume. Results. There were 166 living donor and recipient pairs. The mean donor age was 44.8 years (SD ± 10.8), and donor mean BMI was 25.5 (SD ± 2.9). The recipients of living donor kidneys were 64% male and had a mean age of 43.5 years (SD ± 13.3). Six percent of patients experienced an episode of cellular rejection and were maintained on dialysis for a mean of 18 months (13–32) prior to transplant. Kidney volume was divided into tertiles based on lowest, middle, and highest volume. Kidney volume median (range) in tertiles 1, 2, and 3 was 124 (89–135 ml), 155 (136–164 ml), and 184 (165–240 ml) with donor eGFR ml/min (adjusted for body surface area expressed as ml/min/1.73 m2) at the time of donation in each tertile, 109 (93–129), 110 (92–132), and 101 ml/min (84–117). The median (IQR) eGFR in tertiles 1 to 3 in kidney recipients at 1 year after donation was 54 (44–67), 62 (50–75), and 63 ml/min (58–79), respectively. The median (IQR) eGFR in tertiles 1 to 3 in the remaining kidney of donors at 1 year after donation was 59 (53–66), 65 (57–72), and 65 ml/min (56–73), respectively. Conclusion. Bigger kidney volume was associated with better eGFR at 1 year after transplant in the recipient and marginally in the donor remaining kidney.
Efficacy and Safety of Different Intravenous Glucocorticoid Regimens in the Treatment of Graves’ Ophthalmopathy: A Meta-Analysis
Authors: Chen Jing , Xu Nuo , Sun Huilan , Chen Gang
Published: July 2021

Purpose. The intravenous glucocorticoid (iv GC) represents the mainstay of therapy for Graves’ ophthalmopathy (GO), but uncertainty remains concerning the optimal regimen. Although the European Group on Graves’ Orbitopathy (EUGOGO) regimen has been commonly employed, evidence for its superiority to other regimens is still lacking. The aim of this meta-analysis was to compare the efficacy and safety of the EUGOGO regimen with higher-dose regimens in the management of GO. Methods. A systematic review and meta-analysis of randomized controlled trials (RCTs) and cohort studies comparing the EUGOGO regimen with higher-dose regimens was conducted. PubMed, Embase, and Web of Science databases were searched for relevant studies. The efficacy outcomes were response rate, change in clinical activity score (CAS), rate of proptosis improvement, and retreatment rate. The safety outcome was the incidence of adverse events. Results. In the five included eligible trials, 136 participants in the EUGOGO regimen and 177 participants in higher-dose regimens were evaluated. Compared with the EUGOGO regimen, higher-dose regimens had no beneficial effect on the response rate, change of CAS, rate of proptosis improvement, and retreatment rate (OR: 1.3; 95% CI: 0.36–4.65; SMD: –0.04; 95% CI: –0.54, 0.45; OR: 0.79; 95% CI: 0.44–1.44; OR: 0.87; 95% CI: 0.27–2.77). For the incidence of adverse events, the results also showed no significant difference between the 2 groups (OR: 1.14; 95% CI: 0.62–2.09). Conclusion. The current evidence showed that the efficacy of the EUGOGO regimen was comparable with higher-dose regimens. Since there was no significant difference in the incidence of adverse events between the two regimens, appropriate selection of patients and careful monitoring were required in both regimens. More well-designed, large-scale, and longer follow-up period studies were needed to further verify the finding of this analysis.
Finite-Time Passivity of Stochastic Coupled Complex Networks
Authors: Yin Xunwu , Cao Min
Published: July 2021

The finite-time passivity problem is, respectively, investigated for stochastic coupled complex networks (SCCNs) with and without time-varying delay. Firstly, we present several new concepts about finite-time passivity in the sense of expectation on the basis of existing passivity definition. By designing appropriate controllers, the finite-time passivity of SCCNs with and without time-varying delay is obtained. In addition, the definition of finite-time synchronization in the sense of expectation is proposed. Under some sufficient conditions and designed controllers, finite-time passivity derives finite-time synchronization. Finally, two examples are given to demonstrate the effectiveness of finite-time passive and synchronization criteria.
Abnormal Macrophage Polarization in Patients with Myelodysplastic Syndrome
Authors: Zhang Gaochao , Yang Liyan , Han Yu , Niu Haiyue , Yan Li , Shao Zonghong , Xing Limin , Wang Huaquan
Published: July 2021

Background. This study is aimed at assessing the subsets of bone marrow macrophages in patients with myelodysplastic syndrome (MDS) and exploring the role of macrophages in the pathogenesis of MDS. Methods. Thirty-eight newly diagnosed MDS patients were enrolled in the Department of Hematology of General Hospital of Tianjin Medical University from June 2015 to June 2016. Bone marrow monocytes and macrophage subsets (M1/M2) were detected in patients with MDS and normal controls by flow cytometry. M1 macrophages were cultured in vitro, and the expression of IL-1β and TNF-α mRNA was measured using real-time polymerase chain reaction. Results. Compared with the normal control group, the proportion of bone marrow monocytes was higher (

2.11
±
0.93
%

vs.

3.66
±
3.38
%

), and the mean fluorescence intensity of surface molecule CD14 was lower in the higher-risk (HR) MDS group (

639.05
±
359.78

vs.

458.26
±
306.72

,

p
<
0.05

). The ratio of M2 macrophages to monocytes was higher in patients with HR-MDS (

1.82
±
2.47
%

vs.

3.93
±
3.81
%

,

p
<
0.05

). The ratio of M1 to M2 macrophages was lower in the HR-MDS group (

3.50
±
3.22

vs.

1.80
±
0.88

,

p
<
0.05

). The expression of IL-1β and TNF-α mRNA in M1 macrophages was significantly lower in the MDS group (

p
<
0.05

). Conclusions. Patients with MDS had abnormal macrophage polarization, which may be involved in the alteration of bone marrow microenvironments.
The Mono/Bistatic SAR Imaging Simulation of Sea Surface with Breaking Waves Based on a Refined Facet Scattering Field Model
Authors: Zhao Ye , Guan Wen-Tao , Yang Peng-Ju
Published: July 2021

In order to analyze the scattering characteristics of sea surface under high sea state, a complete scattering model of sea surface considering breaking wave is established in this study based on the refined facet scattering field model (RFSFM) and the scattering theory of breaking wave. On the basis of this model, the influence of breaking waves on the mono/bistatic SAR imaging of sea surface at HH and VV polarization is studied. The results show that with the increase in wind speed, the coverage of breaking wave increases obviously and the consideration of breaking wave has a good correction for the scattering coefficient at HH polarization under grazing incidence; however, for VV polarization, the effect of breaking wave is very small.
Rehabilitation of An Analgesic Bracelet Based on Wrist-Ankle Acupuncture in Patients with Rotator Cuff Injury: A Randomized Trial
Authors: Song Wenjuan , Wang Xin , Zhou Jishen , Shi Ping , Gu Wei , Fang Fanfu
Published: July 2021

Objective. To evaluate the effect of transcutaneous electrical nerve stimulation (C-TENS) in the rehabilitation of rotator cuff injury. Methods. A total of 60 patients diagnosed with mild to moderate rotator cuff injury were randomly divided into the control group and test group. Both groups received conventional rehabilitation treatment including physical therapy, joint mobilization, interventional therapy, and family recovery training. The test group additionally received TENS treatment on the upper area 4 or 5 of the wrist, based on the wrist-ankle acupuncture (WAA) theory. The results of the visual analogue scale (VAS), shoulder range of motion (ROM), and Constant-Murley score (CMs) were collected before and after the 1st treatment and after the 5th treatment. The differences of those indicators between the two groups were analyzed statistically. Results. The VAS scores of measurement points after treatment were all improved compared with those at baseline. There was a significant difference between the two groups after the 1st and the 5th treatment (

p
<
0.05

), and the improvements in the test group were better than those in the control group. The ROM of flexion, extension, abduction, adduction, internal rotation, and external rotation after the 1st treatment and 5th treatment in both groups were all improved compared with those at baseline. There was no significant difference between two groups. The CMs of the two groups after the 5th treatment were all improved compared with those at baseline. There was no significant difference between two groups. No adverse events occurred during the treatment. Conclusion. Electrical stimulation on the wrist combined with conventional rehabilitation is more effective in relieving pain than the conventional rehabilitation alone. Electrical stimulation on the wrist combined with conventional rehabilitation has no obvious effect in improving shoulder joint mobility and shoulder function.
Explaining Consumer Intentions for Foods with Antioxidant Properties: Predictors of Choice and Purchase Barriers
Authors: Fatkullin Rinat , Naumenko Natalya , Popova Natalia , Ruskina Alena , Kalinina Irina , Potoroko Irina
Published: July 2021

Today, food products not only should serve the source of main nourishment but also must minimize the risk of negative impact on the human body. Products enriched with antioxidants can be referred to such category. For food producers, the development of products “for health” is usually connected with significant investment, whereas the final success of innovative products does not always meet the expectations. The greatest part of such products is withdrawn from the market during the first year. It is important for manufacturers to learn consumer behavior in order to ensure sale growth and a stable market position. The purpose of this study was to study consumer reception of products containing antioxidants. (It is important to conduct market research to identify the needs of buyers in order to maintain a stable position in the market. In order to study this issue, we analyzed the consumer perception of foods with antioxidant properties.) We studied the consumer perception of products with antioxidant properties with regard to choice predictors and barriers for purchasing, which finally determine the success of the product on the market. For this purpose, we conducted a survey of 721 consumers of the South Urals. The results of the statistical analysis done with the help of SPSS proved that South Ural consumers in general are ready to purchase products containing antioxidants. Besides, producers must bring information concerning the real value of the product and win the consumer trust and confidence as far as these are the main predictors determining the choice for purchasing the products containing antioxidants. Misunderstanding of the role antioxidants play in the human body may lead to perception of risk concerning consumption of such products and rejection of the purchase.
Soft Mobility: Transparent Handover with Zero Handover Failure in User‐Centric Networks
Authors: Sun Yong , Wei Haoyan , Wang Shusheng , Zhang Hongtao
Published: July 2021

User‐centric network (UCN) is regarded as a promising candidate to approach the challenges of more radio link failures (RLFs) due to the ultradense deployment of small base stations (SBSs) and meet the requirements of ultrahigh throughput, ultrahigh reliability, and ultralow latency for the 6G system. In this paper, soft mobility is proposed for UCN with the split of control and user plane (C/U‐plane) and shared physical cell identifier (PCI) to achieve the goal of zero handover failure (HOF) probability, where transparent handover (HO) within a cell is realized with user configuration duplication and measurement enhancement. Specifically, the cell is composed of several SBSs around the user, where one anchor SBS is selected for controlling, and others act as slave SBSs for transmission with duplicated UE configuration from the anchor SBS. Based on the proposed architecture, the user measures downlink channel quality for cells and SBSs distinguishingly, via SS/PBCH Block (SSB) and channel‐state information‐reference signal (CSI‐RS), respectively, and then makes the HO decision. Results show that soft mobility can reduce the number of HOF by about 50% over the current system, and the HOF probability is lower than 1% for TTT = 40 ms and offset = −1 dB.
Multiagent Minimum Risk Path Intrusion Strategy with Computational Geometry
Authors: Sun Jianguo , Yan Zining , Li Sizhao
Published: July 2021

In wireless sensor networks (WSNs), inefficient coverage does affect the quality of service (QoS), which the minimum exposure path (MEP) is traditionally used to handle. But intelligent mobile devices are generally of limited computation capability, local storage, and energy. Present methods cannot meet the demand of multiple target intrusion, lacking the consideration of energy consumption. Based on the Voronoi diagram in computational geometry, this paper proposed an invasion strategy of minimum risk path (MRP) to such a question. MRP is the path considered both the exposure of the moving target and energy consumption. Federated learning is introduced to figure out how to find the MRP, expressed as C(ti, tj) = f(E, e). The value of C(ti, tj) can measure the success of an invasion. At the time when a single smart mobile device invades, horizontal federated learning is taken to partition the path feature, and a single target feature federated (SPF) algorithm is for calculating the MRP. Moreover, for multi smart mobile device invasion, it has imported the time variable. Vertical federated learning can partition the feature of multipath data, and the multi‐target feature federated (MFF) algorithm is for solving the multipath MRP dynamically. The experimental results show that the SPF and MFF have the dominant advantage over traditional computational performance and time. It primarily applies the complex conditions of a massive amount of sensor nodes.
Wear Law and Parameter Optimization Study on the Split Cone of a Vertical Shaft Impact Crusher
Authors: Yang Jie , Feng Feifei , Ma Junxu , Shi Jinfa
Published: July 2021

During the sand-making process, the wear of the split cone will affect the dynamic balance of the rotor and the sand-making effect of the crusher. This paper focuses on experiments and simulations with the rotor of a vertical shaft impact crusher. A wear model for predicting the wear value of the split cone is established and its effectiveness is verified. The orthogonal test of

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is designed. By using the range analysis method, the influence of the rotor speed, the feed height, the installation angle, and the number of the guide plate on the wear resistance of the split cone are studied. By using the multiple linear regression analysis method, the optimal parameter combination of each factor is obtained. The results of this paper show that the wear resistance of the split cone is the best when the installation angle of the guide plate is 40°, the installation number of the guide plate is 3, the rotor speed is 2800 r/min, and the feed height is 40 mm.
Cell Line–Specific Network Models of ER+ Breast Cancer Identify Potential PI3Kα Inhibitor Resistance Mechanisms and Drug Combinations
Authors: Gómez Tejeda Zañudo Jorge , Mao Pingping , Alcon Clara , Kowalski Kailey , Johnson Gabriela N. , Xu Guotai , Baselga Jose , Scaltriti Maurizio , Letai Anthony , Montero Joan , Albert Réka , Wagle Nikhil
Published: July 2021

Durable control of invasive solid tumors necessitates identifying therapeutic resistance mechanisms and effective drug combinations. In this work, we used a network-based mathematical model to identify sensitivity regulators and drug combinations for the PI3Kα inhibitor alpelisib in estrogen receptor positive (ER+) PIK3CA-mutant breast cancer. The model-predicted efficacious combination of alpelisib and BH3 mimetics, for example, MCL1 inhibitors, was experimentally validated in ER+ breast cancer cell lines. Consistent with the model, FOXO3 downregulation reduced sensitivity to alpelisib, revealing a novel potential resistance mechanism. Cell line–specific sensitivity to combinations of alpelisib and BH3 mimetics depended on which BCL2 family members were highly expressed. On the basis of these results, newly developed cell line–specific network models were able to recapitulate the observed differential response to alpelisib and BH3 mimetics. This approach illustrates how network-based mathematical models can contribute to overcoming the challenge of cancer drug resistance.

Significance:

Network-based mathematical models of oncogenic signaling and experimental validation of its predictions can identify resistance mechanisms for targeted therapies, as this study demonstrates for PI3Kα-specific inhibitors in breast cancer.
Growth Hormone and Insulin-Like Growth Factor Dysregulation in Pediatric Chronic Kidney Disease
Authors: Brown Denver D. , Dauber Andrew
Published: July 2021

Poor growth is a common finding in children with chronic kidney disease (CKD) that has been associated with poor long-term outcomes. The etiology of poor growth in this population is multifactorial and includes dysregulation of the growth hormone (GH) and insulin-like growth factor (IGF) axis. In this review, we describe the data on GH resistance or insensitivity and inappropriate levels or reduced bioactivity of IGF proposed as contributing factors of growth impairment in children with CKD. Additionally, we describe the theorized negative effect of metabolic acidosis, another frequent finding in pediatric CKD, on the GH/IGF axis and growth. Last, we present the current and potential therapies for the treatment of short stature in pediatric CKD that target the GH/IGF hormonal axis.
Transradial Access for High-Risk Percutaneous Coronary Intervention: Implications of the Risk-Treatment Paradox
Authors: Amin Amit P. , Rao Sunil V. , Seto Arnold H. , Thangam Manoj , Bach Richard G. , Pancholy Samir , Gilchrist Ian C. , Kaul Prashant , Shah Binita , Cohen Mauricio G. , Gluckman Ty J. , Bortnick Anna , DeVries James T. , Kulkarni Hemant , Masoudi Frederick A.
Published: July 2021

Background:

Transradial percutaneous coronary intervention (PCI; TRI) reduces adverse outcomes when compared with transfemoral PCI (TFI). However, TRI is also used less in high-risk patients. It remains unknown how baseline patient risk influences access-site choice among PCI operators and whether the absolute benefit of TRI is greater among patients at high risk for bleeding, acute kidney injury (AKI), and death.

Methods:

We analyzed 28 005 PCIs performed in a 7-hospital system between July, 01, 2009 and April 30, 2018, to assess the choice of access-site (TRI versus TFI) as a function of baseline risk for bleeding, AKI, and death, and examined whether the association between TRI use (versus TFI) and in-hospital outcomes is influenced by baseline risk.

Results:

Among 28 005 PCIs, over a 9-year period, TRI increased over time, however, a risk-treatment paradox for TRI use was observed not only for bleeding risk, but also AKI, and mortality risks, where TRI use was lower in those at highest risk. Operator variability with TRI was large. The incidences of bleeding, AKI, and death were higher with TFI versus TRI. The absolute risk difference between TRI and TFI increased with increasing baseline risk. The number needed to treat to prevent one adverse event with TRI (versus TFI) in low-, moderate- and high-risk groups, respectively, was 259, 82, and 32 for bleeding; 194, 53, and 40 for AKI; and 957, 78, and 18 for death.

Conclusions:

This analysis of a large multicenter cohort of patients with PCI demonstrates a risk-treatment paradox for TRI use, not only for bleeding, but also for AKI and death. Despite this, a greater absolute risk difference favoring TRI was observed among patients with the highest baseline risk. Addressing the risk-treatment paradox by preferentially selecting TRI across the spectrum of risk, but especially high-risk cases, may be an important potential strategy for improving outcomes with PCI.
The Study of Time Perception in Physics Classes
Authors: Yavoruk Oleg
Published: July 2021

This paper describes interdisciplinary, practical work in physics classes aimed at the study of time perception. The experimental part includes the evaluation of minute intervals by a person who relies on an internal sense of time. This lab is done in pairs: the experimenter and the tested person. The paper suggests that certain topical, interdisciplinary issues – issues typically excluded from physics and psychology courses – are a means toward interaction of two radically different branches of knowledge (physics and psychology) within the educational process. Such use of interdisciplinarity increases both the students’ interest in physics and the quality of physics education. The paper also summarizes and offers for dispute some additional results (quantitative data) about types of time perception. Most students (over 250) demonstrate underestimation and overestimation of time intervals: tachychronia (“accelerated” time sense) and bradychronia (“decelerated” time sense).