bluuebunny/crossref_metadata_2025 huggingface dataset:
The Husimi function of a semiconfined harmonic oscillator model with a position-dependent effective mass
Authors: Jafarov E. I. , Jafarova A. M. , Nagiyev S. M.
Published: August 2022

In this paper, the phase space representation for a semiconfined harmonic oscillator model with a position-dependent effective mass is constructed. We have found the Husimi distribution function for the stationary states of the oscillator model under consideration for both cases without and with the applied external homogeneous field. The obtained function is expressed through the double sum of the parabolic cylinder function. Different special cases and the limit relations are discussed, too.
The high-temperature creep mechanism of G115 steel joint under the vacuum electron beam welding
Authors: Zhang Youyi , Gou Guoqing
Published: August 2022

The welding joints of G115 steel were obtained from vacuum electron beam welding technology (VEBW), and their creep behavior was tested under the temperature at 630[Formula: see text]C, 650[Formula: see text]C and 670[Formula: see text]C with different stresses. According to the results, at the same temperature, the time of creep rupture decreases significantly with the test stress increasing, while the time of creep rupture declines significantly with the increased temperature at the same stress condition. The critical stress of creep for the welding joints at 630[Formula: see text]C, 650[Formula: see text]C and 670[Formula: see text]C is 115.28 MPa, 104.73 MPa and 96.98 MPa respectively. The stress index of welding joints between different temperature and stress conditions is about six, which indicates that the mechanism of creep deformation is controlled by the dislocation-climbing mechanism.
An algorithm to calculate generalized Seifert matrices
Authors: Friedl Stefan , Kausik Chinmaya , Quintanilha José Pedro
Published: August 2022

We develop an algorithm for computing generalized Seifert matrices for colored links given as closures of colored braids. The algorithm has been implemented by the second author as a computer program called clasper. clasper also outputs the Conway potential function, the multivariable Alexander polynomial, the Cimasoni–Florens signatures and the nullities of a link, and displays a visualization of the C-complex used for producing the generalized Seifert matrices.
Search for fractality and phase transition in p–p collisions at LHC energy
Authors: Bhattacharjee Shreya , Paul Subhadeep , Ahmed Azharuddin , Subba Nirpat , Tawfik Abdel Nasser , Haldar Prabir Kr.
Published: August 2022

In this paper, a detailed study of the multiplicities of charged particles produced in [Formula: see text]–[Formula: see text] collisions, at [Formula: see text][Formula: see text]TeV, has been carried out. Analysis of UrQMD generated events along pseudo–rapidity ([Formula: see text]), azimuthal angle ([Formula: see text]) and [Formula: see text]-[Formula: see text] phase spaces is made with the help of scaled factorial moment method. The results have also been compared with the UrQMD events with finite impact parameter ([Formula: see text]) and minimum bias (MB) conditions. From the intermittency exponent ([Formula: see text]), the anomalous fractal dimension [Formula: see text] is derived and the variations of [Formula: see text] with order [Formula: see text] are investigated. The observed intermittent fluctuations are manifested by various parameters such as anomalous fractal dimension [Formula: see text], degree of multifractality ([Formula: see text]), critical exponent ([Formula: see text]), Levy index ([Formula: see text]) and multifractal specific heat. In the framework of Ginzburg–Landau theory, the second-order phase transition in the light of scaled factorial moment method has also been carried out to search for the quark-hadron phase transition. It is observed that the intermittent type of fluctuations are strong enough in [Formula: see text]-[Formula: see text] space compared to the one-dimensional [Formula: see text] space and [Formula: see text] space. The data reflects the signature of multifractality in [Formula: see text] space and [Formula: see text]-[Formula: see text] space. Whereas in case of [Formula: see text] space, it shows the evidence of monofractality. It is also interesting to note that the values of critical exponents for all impact parameters indicate the apparent existence of quark hadron phase transition except for MB events. However, no such behaviour is observed in [Formula: see text] space. From the knowledge of generalized fractal dimension [Formula: see text], multifractal specific heat is derived from scale factorial moment analysis in case of one-dimensional [Formula: see text] space, [Formula: see text] space and two-dimensional [Formula: see text]-[Formula: see text] space.
Optical solitons, multiwave, breather and M-shaped solitons for an nonlinear Schrödinger equation in (2+1)-dimensions with cubic–quintic–septic law
Authors: Ahmed Sarfaraz , Seadawy Aly R. , Rizvi Syed T. R.
Published: August 2022

In this paper, we address a newly nonlinear Schrödinger equation (NLSE) in [Formula: see text]-dimensions influenced by cubic–quintic–septic law nonlinearity and spatial dissipations effects. We properly construct the dark and bright optical soliton solutions for our governing model. Furthermore, periodic, other singular solutions, multiwave, homoclinic breather, M-shaped rational and their interaction with kink waves of various structures will be derived. In addition to this, some 3D, 2D and contour profiles will be added to anticipate the wave dynamics.
Spatiotemporal multi-vortex and multi-pole mode soliton solutions in PT symmetric media with variable coefficients
Authors: Wang Shao Fu
Published: August 2022

The mathematical model of the PT media with variable coefficients is introduced, and the spatiotemporal vortex and multi-pole mode solutions are derived by the bilinear transformation method. Then, the modulation propagation of the solutions is also studied. In addition, a novel control approach for constructing the distribution and the quantity of multi-vortex solitons by using different nonlinear hyperbolic tangent function are proposed. Finally, the effectiveness of the method is validated.
Numerical Study on Seismic Response of Offshore Wind Turbine Monopile in Multi-Layered Soil Profile of Arabian Sea
Authors: Iqbal Kamran , Xu Chengshun , Han Yingcai , Motalleb Qaytmas Abdul , Ijaz Nauman , Dou Pengfei
Published: August 2022

The seismic performance of monopiled offshore wind turbine (OWT) structures was evaluated numerically. The aim was to analyze offshore wind farm sites on complicated layered seabed with high seismicity. Following pile soil analysis (PISA) model, three-dimensional (3D) numerical evaluations were undertaken for two separate locations under two independent seismic events. The effects of pile diameter, depth, site impact owing to transverse soil layering, uni-directional and multi-directional seismic loading and seismic acceleration magnitude are presented. Dynamic impedance depth variation and site response analysis via lateral displacement, lateral soil response and Fourier response amplitude are explored in frequency and time domain. In a seismic zone with stratified soil, pile diameter has a greater influence. Variations in soil profile affect wind turbine performance and seismic sensitivity. This research will give a strong platform for later studies to recommend a safe wind farm site based on simulation results.
SLEEP MONITORING FOR INDIVIDUALS WITH SPINAL CORD INJURY USING CONTACT-FREE BED SENSORS
Authors: LEE SO-JUNG , AN KWANG-OK , KWON SUNCHEOL , SONG WON-KYUNG
Published: August 2022

Sleep disorders are common in individuals with spinal cord injury (SCI), and contact-free bed sensors can detect these problems. This study examined whether these sensors apply to these individuals, especially at the cervical level, with a high degree of paralysis and limited mobility. First, we investigated whether their motion characteristics affect heart rate (HR), sleep latency, and sleep stage. We compared three commercial contact-free sensors: Emfit QS (Emfit Ltd., Finland), EarlySense Live (EarlySense Ltd., Israel), and SCA11H (Murata Manufacturing Ltd., Japan) with polysomnography (PSG)—a standard for sleep assessment. Then, we monitored the sleep on hospital and home beds and observed the percentages of timestamps and average HR and respiration rate (RR) recorded on the three devices. Compared with PSG, Emfit QS and EarlySense Live recorded an earlier sleep onset. Furthermore, the mean HR recorded by Emfit QS, EarlySense Live, and SCA11H differed by 0 to 8 beats per minute (BMP). In hospital beds, the collection rate for all three sensors was higher than 98% and HR, and RR differed by only 1.1[Formula: see text]BPM and 0.5[Formula: see text]BPM, respectively. Contrastingly, the rates differed by 13.7[Formula: see text]BPM and 9.9[Formula: see text]BMP at home, respectively. While these sensors differed from PSG and their data coverage rate was low, they can help clarify sleep disorders. Continuous sleep monitoring is essential for individuals with SCI, and sleep-monitoring devices are expected to contribute to this and help improve their quality of life.
EFFECTIVENESS OF HIGH-FREQUENCY DIATHERMY TREATMENT ON PAIN CONTROL IN NONSYMPTOMATIC PARTICIPANTS WITH ILIOPSOAS TIGHTNESS
Authors: OH WONJUN , PARK CHANHEE , YOON SAMWON , KIM KYOUNGTAE , CHA YOUNGJOO , YOON HYUNSIK , PARK ILBONG
Published: August 2022

Both iliopsoas (IL) and quadratus lumborum (QL) muscle tightness are associated with lower back pain, which limit activities of daily life, such as squatting and walking. High-frequency diathermy (HFD) treatment generates heat as a result of molecular vibrations in deep soft tissues. HFD increases blood flow and tissue flexibility following muscle relaxation, and improves pain thresholds by lessening pain and facilitating maximum muscle stretch without destruction. We examined the effectiveness of HFD therapy on pain in the IL and QL in nonsymptomatic participants with IL tightness. A convenience sample of 15 nonsymptomatic participants with IL tightness ([Formula: see text], [Formula: see text] years) was recruited, based on participants obtaining a positive value on the Thomas test. The treatment was applied to each muscle (IL and QL) for 15[Formula: see text]min: 5[Formula: see text]min of capacitive mode was applied, and 10[Formula: see text]min of resistive mode was subsequently applied using the WINBACK tool. The whole participants were assessed pre- and post-intervention. Clinical variables contained visual analog scale (VAS) scores. The Wilcoxon signed-rank test was used to analyze the VAS scores, to determine whether HFD influenced pain control. The alpha value was set at 0.05. A significant reduction in IL and QL pain was observed when HFD was applied to participants ([Formula: see text]). Our findings offer therapeutic proof that HFD is effective in controlling IL and QL pain in participants with IL tightness.
EFFECT ON MYOBLAST DIFFERENTIATION BY EXTREMELY LOW-FREQUENCY PULSED ELECTROMAGNETIC FIELDS
Authors: HAN FUJUN , YIN SHUANG , WU HAO , ZHOU CHENLIANG , WANG XINTAO
Published: August 2022

In the myoblasts differentiation process of C2C12 cells, it is imperative to research the expression and synthesis of the myogenic regulatory factors in extremely low-frequency pulsed electromagnetic fields (ELF-PEMFs) exposure. In the present study, using a cell cultivation method of C2C12 cells, the subcultured cells were divided into control and ELF-PEMF treated: A (0[Formula: see text]mT), B (0.5[Formula: see text]mT), C (1.0[Formula: see text]mT) and D (1.5[Formula: see text]mT) groups for five consecutive days training. Furthermore, cells were analyzed using immunochemical staining to detect the cell phenotypic changes, and RT-PCR and Western blot were used to test the expression levels of the myogenic regulatory factor D (MyoD) and the myogenic regulatory factor 5 (Myf5) genes and proteins synthesis in the process of myblasts differentiation. The results indicated that compared with the control group, different intensities of extremely low-frequency pulse electromagnetic fields could induce myoblast nuclear fusion, amplify MyoD and Mfy5 expression, and particularly the 1.5[Formula: see text]mT group at the 5th day exhibited the highest expression of these genes. Our study can pave a way for the development of a non-invasive and effective clinical prevention and treatment strategy in serious disorders like skeletal muscle atrophy.
OPTIMIZATION OF PARAMETERS IN TUINA ROLLING MANIPULATION USING ORTHOGONAL DESIGN EXPERIMENT FOR PROMOTING QI AND BLOOD CIRCULATION
Authors: SUN CHONG , FU MEIHONG , LIU TANGYI
Published: August 2022

This study was envisaged to screen the best combination of parameters (time, force and frequency) in the operation of the Tuina rolling manipulation by using the L9(34) orthogonal design experiment, and to experimentally verify the mechanism of promoting qi and blood circulation. The Tactilus 4.0 software was used to measure the H-series pressure measurement system for collection of the force value, frequency and time of the operation of 10 massage teachers, and a 3-factor 3-level orthogonal test was designed. 90 volunteers were divided into 9 groups by random number table method, with 10 subjects in each group, and the experimental parameters of each group were determined. The force, frequency data, blood flow and the skin temperature of the Shenshu acupoint area (right) of the volunteers before and after the rolling manipulation of each group was recorded using the H-series pressure measuring device. Subsequently, the optimized values of the skin blood flow and temperature volunteers’ Shenshu acupoint area (right) were determined under various factors and the best combination of the parameters for improving the qi and blood circulation was obtained. The optimized parameters for the improved skin blood flow in the rolling manipulation method included time: 12[Formula: see text]min, force: 20[Formula: see text]g/cm2, and frequency: 140 times/min. The time factor, followed by frequency and force, had the largest impact on the skin blood flow. The rolling manipulation parameters for the largest change in skin temperature were time: 12[Formula: see text]min, force: 20[Formula: see text]g/cm2, and frequency: 120 times/min. The time factor influenced the skin temperature to the maximum extent, followed by force and frequency. The Pearson correlation coefficient [Formula: see text] ([Formula: see text]) indicated a weak positive correlation between the skin blood flow and skin temperature immediately after massage. The Tuina rolling manipulation produced changes in the skin blood flow and temperature that lasted for 12 min at a force value of 20[Formula: see text]g/cm2 and a frequency of 120–140 times per min. This combination can be more effective in rolling manipulation—the impact of promoting qi and blood circulation. Immediately after the massage, a weak positive relation existed between the skin blood flow and skin temperature, while during the massage, the skin blood flow and skin temperature affected each other. This study provides a solid experimental support for increasing the therapeutic efficacy of the rolling manipulation and investigating its dose-effect connection, and can serve as a guide in the clinical procedure of rolling manipulation.
1- AND 2-BACK TASK PERFORMANCES AND EVENT-RELATED POTENTIAL PATTERNS OF PAROUS AND NULLIPAROUS FEMALES
Authors: YI JEONG-HAN , JUNG JIN-JU , KIM YE-JIN , LEE JE-HYEOP , KIM KYU-BEOM , CHOI MI-HYUN , KIM HYUNG-SIK , CHUNG SOON-CHEOL , KIM HYUNG-SIK , PARK HYUN-KYUNG , KIM HYUN-JUN
Published: August 2022

This study analyzes the change in working memory capacity between parous and nulliparous groups by studying the changes in event-related potential (ERP) patterns during 1- and 2-back tasks. A total of 50 women participated in the study: 27 belonging to the parous group (mean age: 33.1 ± 3.0 years) and 23 belonging to the nulliparous group (mean age: 30.8 ± 2.3 years). The parous group included women who had given birth within three years, while the nulliparous group included women who had not given birth. To compare the working memory capacity of the two groups, 1- and 2-back tasks were presented and the accuracy rate (%) and reaction times (ms) were extracted. While the subjects were performing their tasks, electroencephalograms were used to measure ERP patterns. The ERP patterns from Fz (midline frontal), Cz (midline central) and Pz (midline posterior), which are highly associated with working memory tasks, were analyzed. From the ERP patterns, N100, P300, P300 peak-to-peak (P300 p_p), P600 and P600 peak-to-peak (P600 p_p) components were extracted. The results showed no significant differences in working memory capacity (accuracy rate and reaction time) and ERP components between the two groups. These findings indicated that childbirth experience has no significant effect on working memory capacity.
PREDICTIVE VALUE ANALYSIS OF MR IMAGING FEATURES ON THE RISK OF KNEE REPLACEMENT IN PATIENTS WITH KNEE ARTHRITIS
Authors: FANG JIAN , FAN CHENHONG , ZENG JUNJIE
Published: August 2022

This study used knee MR imaging features to quantify the severity of knee injury in patients and analyzed the predictive value of knee MR imaging features in their risk of knee replacement. A total of 120 patients with knee arthritis were included from a public knee arthritis database FNIH OAI. First, univariate logistic regression was used to screen clinical features to obtain the clinical risk factors. Then the minimum redundancy maximum correlation (mRMR) method was used to reduce the image features, and the LASSO method was used to further screen the retained image features to construct a Rad model. Next, the multivariate logistic regression method was used to combine the Rad model and the screened clinical risk factors to construct a combined model and its corresponding nomogram. Finally, ROC curve and its related metrics, Hosmer–Lemeshow test and Delong test were used to evaluate and compare the accuracy and consistency of the model performance. Age and body mass index (BMI) were found as significant clinical risk factors for knee replacement. After using mRMR and LASSO methods, 147 image features were reduced to 30 and 7 features, respectively, then these 7 features were linearly combined to construct the Rad model. Age, BMI, and the Rad model were combined to establish the combined model and its corresponding nomogram. The resulted two models showed high accuracy ([Formula: see text]) and consistency (H-L test: [Formula: see text]) on both the training set and test set. Finally, the comparison results showed that the prediction performance of the combined model was better than that of the Rad model, but their difference was not significant (Delong test: [Formula: see text]). This paper studied the predictive performance of MR imaging features on the risk of knee replacement and built a model that can be used to predict the potential risk of knee replacement in patients with knee arthritis. The resulting models showed good predictive accuracy and consistency. The drawn nomogram could be used as a useful tool to personalize the prognosis of patients with knee arthritis and guide clinical decisions on knee replacement.
TEST–RETEST RELIABILITY OF POSTURAL SWAY MEASURES DURING STATIC STANDING BALANCE PERFORMANCE IN HEALTHY ELDERLY ADULTS
Authors: KWON YU-RI , EOM GWANG-MOON , KIM JI-WON
Published: August 2022

Little is known about the reliability of postural sway measures in healthy elderly adults. Moreover, there is no standardized balance test protocols such as an efficient number of repeated measurements for older people. Therefore, we investigated test-retest reliability of center of pressure (COP) variables during static balance performance in elderly adults. Twenty-five elderly adults (15 elderly men and 10 elderly women) were asked to perform quiet standing balance test on a self-developed force platform. COP-based variables, i.e., COP mean distance, sway area, mean velocity, mean frequency, maximum frequency, and maximum power amplitude were derived from the COP data. For the test-retest reliability of each COP-based variable, intraclass correlation coefficient (ICC) was assessed in two-trials and three-trials of balance test. Mean velocity showed the highest ICC values in all directions (ICC = 0.832–0.922). Frequency domain variables presented lower reliability than time domain variables. Additionally, elderly adults did not affect the number of repeated measurements in most postural balance variables. These results suggest that time domain variables are more reliable variables than frequency domain variable and that balance test of two trials might be rather effective for elderly adults. These findings can be used to develop an optimal protocol of static balance test and select postural balance variables for elderly adults.
EFFECTS OF THE COVID-19 PANDEMIC ON CARDIOPULMONARY FUNCTION IN CHILDREN WITH CEREBRAL PALSY: A PRELIMINARY STUDY
Authors: PARK CHANHEE , OH WONJUN
Published: August 2022

The purpose of this study was to examine what effects the coronavirus disease 2019 (COVID-19) pandemic has on the cardiopulmonary endurance, heart rate and oxygen saturation in children with cerebral palsy (CP) during a 6-min walk test (6[Formula: see text]MWT). This study had a laboratory design and tested a single group pre- and post-COVID-19. A convenience sample of 8 participants with CP (three females; mean [Formula: see text] years) that was recruited from a community-based rehabilitation center was enrolled in the current study. Due to COVID-19, no rehabilitation was provided by a physical therapist for two months as the participants stayed at home. The descriptive statistics and paired [Formula: see text]-test were derived by examining the participants’ cardiopulmonary function via the Borg scale, 6[Formula: see text]MWT, heart rate and oxygen saturation, while they underwent rehabilitation versus the two months without rehabilitation due to COVID-19. The participants’ walking distances, oxygen saturation and heart rates were measured, and the Borg scale was used to assess the participants’ perceptions of their fatigue, breathlessness, and effort and exertion during the 6[Formula: see text]MWT. The descriptive statistical analysis demonstrated the following effects when comparing the post-COVID-19 results to those before the pandemic: greater distance on the 6 MWT test (0.69%), minimal changes in oxygen saturation ([Formula: see text]0.3%) and increased heart rate (8.4%) and Borg scale values (19.4%). Paired [Formula: see text]-test suggested that a significant difference was shown on the Borg scale ([Formula: see text]) and heart rate ([Formula: see text]). The results of this study provide clinical, evidence-based insights into the impact of the COVID-19 pandemic on cardiopulmonary function in children with CP. The clinical case series study demonstrated that after the COVID-19 pandemic, the participants with CP experienced increased heart rates and decreased minimal oxygen saturation, cardiopulmonary endurance. Recent advances in communication and information technology allow physical therapists to train and refine individually through remote rehabilitation. Exercise and combining VR remote education can be a way to maintain cardiopulmonary functions that have fallen due to the pandemic.
Optical Properties of PbS/CdZnS Double Layers Nanocrystalline Thin Films for Opto-Electronic Applications
Authors: Ajam Ahmed M. , Mohammed Kahtan A. , Salman Zahraa N.
Published: August 2022

In this work, three samples of thin films were prepared from semiconducting nanomaterials by the chemical bath method, where a thin film of lead sulfide PbS, Cadmium zinc sulfide CdZnS and PbS/CdZnS was prepared. The optical properties and surface formation of the bilayer film were studied and investigated by scanning electron microscope and UV–Visible spectrometer. It was observed through the scanning microscope image that the surface of the thin film is composed of CdZnS material in the form of nanowalls that cover the PbS nanoparticles completely, forming a core–shell structure. The transmittance and absorption spectra of the prepared films, as well as the direct and indirect energy gaps, were measured. It was observed that there is a shift in the absorption and transmission spectra of the PbS film after coating it with CdZnS layer. The magnitudes of the direct and indirect energy gaps of the bilayer film are 1.8[Formula: see text]eV and 1.5[Formula: see text]eV, respectively.
A note on phase (norm) retrievable real Hilbert space fusion frames
Authors: Casazza P. G. , Akrami F. , Rahimi A.
Published: August 2022

In this paper, we will present several new results in finite and countable dimensional separable real Hilbert space phase retrieval and norm retrieval by fusion frames. We will characterize of norm retrieval for fusion frames similar norm retrieval for vectors and we will show that only one direction holds for fusion frames. In similar vector case, we will show that every tight fusion frame can do norm retrieval. Also we will show that the unitary operators preserve phase (norm) retrievability of fusion frames. We will make a detailed study of when hyperplanes do norm retrieval and show a general result about it. We will provide numerous examples to show that our results are best possible.
DCS-UNet: Dual-Path Framework for Segmentation of Reflux Esophagitis Lesions from Endoscopic Images with U-Net-Based Segmentation and Color/Texture Analysis
Authors: Tran Thanh-Hai , Vu Danh Huy , Tran Duc Huy , Do Khanh Linh , Nguyen Phuong Thao , Nguyen Van Tuan , Nguyen Long Thuy , Ho Nguyen Khang , Vu Hai , Dao Viet Hang
Published: August 2022

Automatic analysis of medical images and endoscopic images, in particular, is an attractive research topic in recent years. To achieve this goal, many tasks must be conducted for example lesion detection, segmentation, and classification. However, existing methods for such problems still face challenges due to the spreading characteristic of the lesions as well as some artifacts caused by motion, specularities, low contrast, bubbles, debris, bodily fluid, and blood. As a consequence, single segmentation or detection could not deal with those issues. Besides, although deep learning has achieved impressive results in many tasks, lacking a large annotated dataset could lead to overfitting problems. In this paper, we tackle these issues by taking particular characteristics of lesions of interest and advantages of deep segmentation models into account. We propose a dual-path framework (namely, DCS-UNet) that combines both segmentation and classification. We first segment lesions from the image using U-Net architecture with different encoder backbones (ResNet-50, VGG-16, DenseNet-201). The segmented regions will be then refined in the second path where we classify every patch in the whole image or the Inner or Outer regions extended from the contours given by the segmentation results. For the refinement scheme, we utilize the color-dependent and texture features as doctors’ advice and deploy the support vector machine (SVM) technique to classify a patch into disease region or not. Extensive experiments were conducted on three datasets of gastroesophageal reflux disease (GERD) endoscopic images as GradeM, GradeA, GradeB, which are defined as modified Los Angeles classification. The experimental results show the improvements of the proposed method compared to the single U-Net or a segmentation using the hand-designed features-based scheme. The proposed method improves mDice and mIoU by 0.5% and 0.36% on GradeA dataset, which is the most challenging dataset with ambiguous separations of GERD vs. normal regions, and by 0.82% and 0.81% on GradeM dataset, which is clearer to segment GERD regions. This proposed framework shows the potential to develop a diagnosis assistance system to help endoscopists reduce burden in examining GERD in the future.
Spatial and Temporal Hand-Raising Recognition from Classroom Videos Using Locality, Relative Position-Aware Non-Local Networks and Hand Tracking
Authors: Le Thu-Hien , Tran Hoang-Nhat , Nguyen Phuong-Dung , Nguyen Hong-Quan , Nguyen Thuy-Binh , Tran Thanh-Hai , Vu Hai , Tran Thi-Thao , Le Thi-Lan
Published: August 2022

Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers. However, automatic hand-raising gesture detection and recognition remains still a challenging problem mainly due to low hand resolution, hand occlusion, various backgrounds, and viewpoint changes. While majority of the existing methods focus on static hand-raising posture detection, in this paper, we propose a framework for dynamic hand gesture recognition from classroom videos consisting of two main stages: hand posture detection and dynamic hand gesture recognition. In hand posture detection stage, we extend the previous work by adding relative position-aware in non-local network. After detecting the hand-raising posture on static pixels, which in turn accelerates the performance images, at the dynamic hand gesture recognition stage, we incorporate object detection and tracking to associate the hand-raising detection results at consecutive frames to supplement the missing detection due to the occlusion issue and obtain hand-raising gesture recognition at the event level. The experimental results show that the proposed method outperforms three benchmark models for static hand posture detection that are Faster-RCNN, Libra-RCNN, and Libra-RCNN+RDA on our dataset with the gains obtained for mAP being 7.68%, 5.76%, and 0.35% higher, respectively. In terms of event-level recognition results, the proposed method achieves the value of frame-wise accuracy, temporal_IoU, F1-score@0.3, and Levenshtein-score are 90.0%, 84.4%, 83.2%, and 84.3%, respectively. The code and dataset used in the paper will be made publicity available for research community.
Sustainable Strategic Operations Supported by I4.0 Digital Technologies
Authors: Pereira Grudzien David Iubel de Oliveira , Pfutzenreuter Thais , Galli Flaviana , Lima Edson Pinheiro de , Deschamps Fernando , Costa Sergio Gouvêa da
Published: August 2022

Sustainable development has been putting pressure on companies to act in favor of sustainability. To overcome such forces, we evidenced performance through operations that offer opportunities to obtain economic, environmental, and social performance and, thus, should become the organization’s central area and the driving force behind the strategy. It is noteworthy that to achieve such performance, Industry 4.0 technologies can be used as resources, and they have the potential to generate capabilities for meeting sustainable objectives. Thus, this research has as its main objective to propose a sustainable operations strategy model based on digital technologies. Grounded by the classic view of operations strategy and using the ProKnow-C method, a first effort was made to raise performance objectives in the economic, environmental, and social dimensions as well as criteria that assess digital technologies. As result, regarding the economic performance objectives, the five traditional objectives were maintained. In the environmental dimension, the following were pointed out: consumption of natural resources, emissions, waste and reverse management, and environmental regulation. In the social dimension, the following stood out: exposure to occupational risk agents and both internal and external engagement. About criteria that assess digital technologies, the degree of automation, connectivity, and scalability besides feasibility, vulnerability, and acceptability were framed, remaining in alignment with classic theory. Finally, it was proposed a change of view on the area of process technology, which arises much more as support influencing and enhancing the other areas.
Comparative study on selective laser sintering of aromatic and aliphatic thermoplastic polyurethanes: processability, microstructure, and mechanical properties
Authors: Zhou Meixin , Zhu Wei , Yu Suzhu , Tian Yujia , Wei Jun , Zhou Kun
Published: August 2022

Selective laser sintering (SLS) of thermoplastic polyurethane (TPU) has attracted tremendous interest in producing prototypes and end-use parts for applications in mechanical energy absorption, biomedical scaffold, and wearable electronics because of the versatile properties of this material. This work aims to reveal the effects of the chemical structure on the SLS processability of TPU powders as well as the microstructure and mechanical properties of their SLS-printed parts. It was found that the aliphatic TPU exhibited better SLS processability and lower total porosity than the aromatic TPU because of its flexible polymer chains. In contrast, the aromatic TPU displayed higher tensile strength and mechanical energy absorption because of its rigid polymer chains and the increased intermolecular force. Pores in the SLS-printed parts were classified based on their morphological features, and their origins were investigated via X-ray computed tomography. This study provides guidance for the design, selection, and optimization of TPU powders for the SLS process according to different applications.
Comparison of the FWI-Adjoint and Time Reversal Methods for the Identification of Elastic Scatterers
Authors: Rabinovich Daniel , Amitt Eyal , Givoli Dan , Turkel Eli
Published: August 2022

The paper falls into the category of computational methods for inverse scattering techniques for the identification of scatterers. We consider a linear elastodynamic problem and compare two popular methods for identifying a scatterer in the domain. Finite elements are employed with each of the two methods for spatial discretization. One method considered is Full Waveform Inversion using a gradient-based optimization and the adjoint method. In the adjoint procedure for calculating the gradient, we use the variant of discretizing the unknown parameters from the outset while all other variables remain continuous. Gradient optimization is performed in the examples using a quasi-Newton method. The other method compared is the computational Time Reversal technique, which is used in combination with an augmentation procedure to enhance performance. advantages and limitations of the two methods are outlined, and their performance is compared through an example from geophysics.
A color-coded graphical guide to the Hodgkin and Huxley papers
Authors: Hopper Amy J. , Beswick-Jones Hana , Brown Angus M.
Published: August 2022

The Hodgkin and Huxley papers continue to inspire and intimidate, 70 years after their publication. The diverse subjects they cover include advanced experimental procedures, complex data analysis, calculus, and modeling, all of which ensure the papers can present a challenging read. We present a concise guide to the papers that includes only essential content depicted in color-coded graphs, allowing tracking of data from recordings to analysis and incorporation into the model to ease understanding.
Fuzi-Lizhong Decoction Alleviates Nonalcoholic Fatty Liver Disease by Blocking TLR4/MyD88/TRAF6 Signaling
Authors: Yang Jiayao , Zhang Ying , Yi Hongfeng , Liao Yan , Shu Lei , Zhang Shu , Li Chenyu , An Liu , Du Nianlong , Shi Zhaohong , Ma Wei
Published: August 2022

Background. Fuzi-Lizhong decoction (FLD) derives from the ancient Chinese Pharmacopoeia and has been clinically used for years. The present study aimed to investigate the activities and underlying mechanisms of FLD against nonalcoholic fatty liver disease (NAFLD). Methods. In vivo studies were conducted by inducing NAFLD in rats with a high-fat diet, and in vitro studies were performed on HL-7702 cells treated with oleic and linoleic acids. Total cholesterol (TC), triglyceride (TG), and blood glucose (Glu) levels were detected using an automatic biochemical analyzer. The expression of IL-2, IL-6, and TNF-α in sera and cell culture supernatants was measured by ELISA. The mRNA and protein levels of TLR4, MyD88, and TRAF6 were measured in liver tissue and HL-7702 cells using reverse transcription-quantitative polymerase chain reaction and western blot. Results. FLD significantly reduced the TC, TG, Glu, FFA, IL-2, IL-6, and TNF-α levels in NAFLD rats and HL-7702 cells. Analysis of liver lipid content by Oil Red O staining revealed a significant increase in hepatic lipid accumulation in rats with NAFLD, but this lipid accumulation was reversed by FLD treatment. In addition, the mRNA expression levels of TLR4, MyD88, TRAF6, and NF-κB p65 as well as the protein levels of TLR4, MyD88, TRAF6, and NF-κB p65 were decreased after FLD treatment. FLD significantly reduced inflammation and improved collagen accumulation in vivo and in vitro by inhibiting the activation of the TLR4/MyD88/TRAF6 signaling pathway. Conclusions. FLD exerted potent protective effects against NAFLD via TLR4/MyD88/TRAF6 signaling. These findings provide novel insights into the mechanisms whereby this compound acts as an anti-inflammatory agent and highlight the potential application of FLD in the treatment of acute liver failure (ALF).
The Impact of Environmental Regulation on Agricultural Ecological Efficiency from the Perspective of High-Quality Agricultural Development: Based on Evidence from 30 Provinces in China
Authors: Tang Shuo , Shang Jie , Chen Ximing
Published: August 2022

Based on the data of 30 provinces in China, the super-efficiency EBM model is used to calculate the agricultural ecological efficiency in China, and analyze the impact of different environmental regulations on the agricultural ecological efficiency. The results show that: China’s agricultural ecological efficiency is not optimal. Specifically, the main grain production areas and grain balance areas have not reached the optimal efficiency, and the main grain sales areas have basically reached the optimal efficiency. In addition, among the influencing factors, the influence degree of different environmental regulations is well distinguished, which is the focus of this paper. We can find that command control environmental regulation and market incentive environmental regulation have a significant positive effect on different regions. Among them, market incentive environmental regulation has a significant positive impact on the agricultural ecological efficiency of the whole country and the grain balance areas. Command controlled environmental regulation has a significant positive impact on the agricultural ecological efficiency of the whole country and the main grain producing areas. So, it is necessary to formulate environmental policies according to the actual needs of development.
Optimized Design of English Learning Environment Based on Deep Neural Network
Authors: Yan Shaoli
Published: August 2022

The learning environment is an important support condition for learning and an important variable affecting learning, so it is an important research content of learning theory, and the understanding of the learning environment is also developing and changing as the educational theory continues to develop. The new curriculum standards for college English demand teachers alter the original conventional way of pedagogy and optimize students’ mode of learning. In teaching practice, the learning atmosphere exerts an extremely influential influence on the smooth implementation of teaching activities and the healthy development of students’ minds and bodies. Deep learning is a hot research topic among machine learning areas in recent years, and deep belief networks as a pioneer in constructing such deep structures. Also, deep neural network (DNN) has been a hot research topic in the field of artificial intelligence and big data analysis in recent years. A DNN-based English learning environment optimization design is put forward in this paper, focusing on the problems of the English learning environment in colleges and the causes of the problems, and exploring strategies to optimize the English learning environment in colleges in order to promote the normal development of English teaching in colleges. The experimental results show that the DNN can improve the overall recognition rate of fault identification and fault location by 13% and 25% on average compared with the other two algorithms, so the deep learning can extract features directly from the original samples and overcome the defect that the neural network is easy to fall into local optimum, and obtain better results. The optimization of the learning method will help to realize the education concept of “human-oriented and comprehensive development,” and help to stimulate students’ enthusiasm, initiative, and exploration in learning.
Correlation and Influencing Factors of Technology Transfer and Independent Innovation Based on the Data Acquisition and Monitoring System
Authors: Wang Lin
Published: August 2022

Since 2007, China’s economic growth has slowed down. China’s economic growth rate is declining. Demand stimulus is ineffective. Therefore, it emphasizes the important role of technology transfer and independent innovation. The main socio-economic incentives for technology transfer and independent innovation today are the development of electronic technology, computer technology, and communication technology. Monitoring systems are more and more widely used in related fields. The processing of data sources is to meet the needs of real-time data collection and monitoring. The following conclusions are drawn through theoretical analysis and empirical research. The spatial technology transfer coefficients in the eastern, central, and western regions are positive, reaching 0.2129, 0.1639, and 0.2829, respectively, passing the 10%, 1%, and 5% significance tests, respectively. This shows that the regional independent innovation potential can also support the improvement of the independent innovation potential of regions with similar economic and social conditions. Industrial transfer can not only improve the independent innovation potential of the region but also increase the independent innovation potential of neighboring regions and regions with similar economic and social conditions due to the spatial effect. The impact of industrial transfer on the capability of independent innovation varies from region to region. The role of industrial spillover effects in the eastern region in enhancing the capability of independent innovation is greater than that in the western region. However, in the central region, the industrial spillover effect has no significant impact on the capability of independent innovation. The data collection and monitoring system has greatly improved the efficiency and accuracy of the research on the correlation between industrial transfer and independent innovation.
Refinement Evaluation Method of Financial Management Quality of Listed Companies Based on the ERP Model
Authors: Chen Ling , Kang Haijun
Published: August 2022

With the development of economic globalization, the trend of internationalization and alliance of large enterprises is becoming more and more obvious, and the competition and cooperation among enterprises are still continuing. In this new historical stage, it is very necessary to ensure the smooth implementation of financial management and coordination with other systems, in line with the times, to establish, improve, and ensure a scientific and reasonable enterprise financial management model and prove its effectiveness. However, the existing research on the specific implementation of the integrated financial management model based on the theory and case studies is not specific enough, the process tracking is not detailed enough, the implementation effect evaluation theory lacks scientificity and integrity in the establishment of the index system, and the evaluation methods are relatively simple. In view of the above problems, this paper proposes the specific implementation steps and problems that need to be paid attention based on the financial management model for large listed companies, establishes the evaluation index system of enterprise implementation by using the method, and quantifies the listed companies before and after the implementation of integrated financial management. The comparisons give credible results. This paper is of great significance for improving the existing performance evaluation system, responding to national policies, promoting the development of enterprise informatization, and improving the success rate and competitiveness of enterprise integrated financial management implementation.
Design and Implementation of Manhole Cover Safety Monitoring System based on Smart Light Pole
Authors: Mo Fu , Yu Liang , Zhang Zhengkuan , Zhao Yang
Published: August 2022

Aiming at the current problems in the safety monitoring of urban manhole covers, this paper proposes a safety monitoring system for manhole covers based on smart light poles. The system uses STM32F103C8T6 as the microcontroller, and processes and controls the movement, loss, tilt, flooding, and positioning data of the manhole cover. Then, the data frame is sent to the LoRa gateway of the nearby smart light pole through the LoRa communication protocol, and the LoRa gateway will transmit the abnormal state of the manhole cover to the large screen display of the smart light pole through the bus. At the same time, a voice broadcast is carried out to remind localized road vehicles and pedestrians. Besides, it is sent to the IoT cloud platform KitLink, and the cloud platform will push the abnormal status data to the subscribed management user, and the user will quickly process it according to the positioning data. Among them, the terminal sensing control device of the manhole cover adopts an integrated package, and at the same time, it is installed at the center point under the manhole cover by using a waterproof material. It can not only carry out reliable and accurate installation without changing the original components but also can effectively monitor the safety. Through the design and implementation test of the system, it can be seen that the system can efficiently and accurately realize all-round and multi-modal safety linkage monitoring of urban manhole covers.
Apache Spark and Deep Learning Models for High-Performance Network Intrusion Detection Using CSE-CIC-IDS2018
Authors: Hagar Abdulnaser A. , Gawali Bharti W.
Published: August 2022

Keeping computers secure is becoming challenging as networks grow and new network-based technologies emerge. Cybercriminals’ attack surface expands with the release of new internet-enabled products. As many cyberattacks affect businesses’ confidentiality, availability, and integrity, network intrusion detection systems (NIDS) show an essential role. Network-based intrusion detection uses datasets like CSE-CIC-IDS2018 to train prediction models. With fourteen types of attacks included, the latest big data set for intrusion detection is available to the public. This work proposes three models, two deep learning convolutional neural networks (CNN), long short-term memory (LSTM), and Apache Spark, to improve the detection of all types of attacks. To reduce the dimensionality, random forests (RF) was employed to select the important features; it gave 19 from 84 features. The dataset is imbalanced; thus, oversampling and undersampling techniques reduce the imbalance ratio. The Apache Spark model produced the best results across all 15 classes, with accuracy as high as 100% for all classes, as seen by the experiments’ findings. For the F1-score, Apache Spark showed the highest results with 1.00 for most classes. The findings of the three models showed outstanding results for multiclassification network intrusion detection.