bluuebunny/crossref_metadata_2025 huggingface dataset:
Human Body Pose Distance Image Analysis for Action Recognition
Authors: Verma Amit , Meenpal Toshanlal , Acharya Bibhudendra
Published: February 2022

Body pose analysis is an important factor of human action recognition. Recently, the proposed Recurrent Neural Networks (RNNs) and deep ConvNets-based methods are showing good performances in learning sequential information. Despite these good performances, RNN lacks to efficiently learn spatial relation between body parts while deep ConvNets require a huge amount of data for training. We propose a Distance-based Neural Network (DNN) for action recognition in static images. We compute effective distances between a set of body part pairs for a given image and feed to DNN to learn effective representation of complex actions. We also propose Distance-based Convolutional Neural Network (DCNN) to learn representations from 2D images. The distances are rearranged in 2D grayscale image called as a Distance Image. This 2D representation allows the network to learn specific discriminative information between adjacent pixel distance values corresponding to different body part pairs. We evaluate our method on two real-world datasets i.e. UT-Interaction and SBU Kinect Interaction. Results show that our proposed method achieves better performance compared to the state-of-the-art approaches.
POGT: A Peking Opera Gesture Training System Using Infrared Sensors
Authors: Cai Xingquan , Wang Tong , Bai Xin , Lin Zaichao , Ge Yakun , Sun Haiyan
Published: February 2022

Peking opera is one of the national cultural heritages in China. However, it is difficult for people to learn the gestures in Peking opera performance, which limits the spread of this traditional culture. To address this issue, we propose a Peking opera gesture training system using infrared sensors. Specifically, we build a character avatar for demonstrating the gestures in Peking opera in the proposed system. Based on the data collected by infrared sensors, a method for calculating gesture similarity is proposed and is applied for the training of Peking opera gestures, which allows natural interactions and provides interactive feedback for user gestures. We conducted multiple experiments to verify the feasibility and effectiveness of the training system. The experimental results showed that the proposed system can overcome the difficulties in the traditional learning process of Peking opera gestures, which helps users to achieve the goal of learning standard Peking opera gestures. The proposed training system greatly eases the learning of Peking opera gestures, adding vitality into the culture of traditional Peking opera.
Short-Term Load Forcasting for Smart Power Systems Using Swarm Intelligence Algorithm
Authors: Prakash N. , Vaikundaselvan B. , Sivaraju S. S.
Published: February 2022

In order to succeed in our everyday life, efficient performance of the power system is of utmost importance, and hence, all the sub-sectors of the power system should be analyzed for the purpose of achieving efficiency and accuracy. It must also be remembered that load forecasting assists a lot to improve the power system. Moreover, it contributes substantially to formulate logical approaches for emerging short-term load forecasting (STLF) for all days including the distinct days and make them follow a uniform standard. Of all the techniques which have been applied so far, honey bee-optimized Euclidean norm, based on fuzzy inference system, is used for identifying the problems, and in addition, support vector classifier is utilized to prepare the STLF models. Parameters — temperature, humidity, monsoons, wind, cloud density, dew point, season, hour of the day, day of the week, distinct day, and holiday — have been taken into account for the current study. A well-prepared database can be used for regression which will be of immense help to forecast the load using artificial intelligence. For every day of a month, the MAPE is computed (using the forecasted and actual hourly values) in order to observe the accuracy of STLF. The planned method has been very successful for the load forecast of all days for all seasons. The forecast has been done using the technique for a real time data of one year (test forecast year) with a historical dataset collected for a period of two years, and the results obtained for all seasons have been found to be satisfactory. STLF has helped to find better values due to its pace, and become healthier than other methods already in practice. With the advent of smart grid, the data will be accessible at more granular level as smart meters have capability to provide consumer load, usage data on-line and this facility will be of great help to utility operators and planners for operations on-line. How to use the data available from smart meters for better STLF is a challenging task and it would draw much attention for future research.
INFLUENCE OF FEMTOSECOND-LASER-INDUCED PERIODIC SURFACE STRUCTURES ON THE TRIBOLOGICAL PERFORMANCE OF CVD NANO-CRYSTALLINE DIAMOND FILMS
Authors: CUI YUXIAO , GUO PING , TIAN YANLING , ZHANG DAWEI , QI HOUJUN , CAI YUJUN
Published: February 2022

Laser-induced periodic surface structures (LIPSS, ripples) are generated on CVD nano-crystalline diamond (NCD) films by femtosecond laser irradiation in air (pulse duration 200 fs and central wavelength 1040 nm). The experimental conditions (laser fluence and spatial spot overlap) are optimized to obtain a 3 × 3 mm2 area covered with homogenous LIPSS. Then, the influence of LIPSS on the frictional performance of NCD films is investigated by dry reciprocating ball-on-disc tests, where ZrO2 ceramic balls are used as counterparts. The results show that the friction behavior is very sensitive to the orientation of nano-structured ripples in LIPSS. The frictional coefficient can be greatly reduced when the sliding direction is parallel to the orientation of the nano-structured ripples, indicating potential benefit of LIPSS on NCD films for frictional applications.
DYNAMIC AND BALLISTIC PERFORMANCE OF GLASS/CARBON FIBER/ALUMINUM 1100 WIRE MESH REINFORCED COMPOSITE
Authors: RAJA A. , ELANCHEZHIAN C. , MURUGAN M. ARUL , RAMANAN N.
Published: February 2022

Increase in the demand for high-performance and lightweight structural materials in the automobile and aircraft industries may inspire a strong tendency to develop fiber metal laminates (FMLs). In this work, the FML composites are fabricated using different stacking sequences of glass/carbon fibers, aluminum wire mesh, BaSO4 filler and epoxy resin. Six different combinations of composites with different stacking sequences and wire mesh angles are fabricated using the hand-lay technique. Dynamic mechanical analysis (DMA), ballistic and wear experiments were used to investigate the fabricated composites’ performance. The FML6 Al wire mesh with BaSO4 filler increases the storage modulus by 16.12% and enhances the energy absorption capacity by 3.19%. From the ballistic, the carbon fiber composite (FML3) shows 4.47% improvement compared to the glass fiber composite (FML1) for the same 90∘ wire mesh orientation.
The category of compact quantum metric spaces
Authors: Long Botao , Wu Wei
Published: February 2022

A compact quantum metric space is a complete order unit space endowed with a Lip-norm. We introduce a metric on the state space and give several equivalent conditions to characterize the Lipschitz morphisms and Lipschitz isomorphisms between two compact quantum metric spaces.
Sum of generalized weighted composition operators between weighted spaces of analytic functions
Authors: Al Ghafri Mohammed Said , Manhas Jasbir Singh
Published: February 2022

Let [Formula: see text] be the space of analytic functions on the unit disc [Formula: see text] and let [Formula: see text] denote the set of analytic self-maps of [Formula: see text]. Let [Formula: see text] be such that [Formula: see text] and [Formula: see text]. We characterize the boundedness, compactness and completely continuous of the sum of generalized weighted composition operators [Formula: see text] between weighted Banach spaces of analytic functions [Formula: see text] and [Formula: see text] which unifies the study of products of composition operators, multiplication operators and differentiation operators. As applications, we obtain the boundedness and compactness of the generalized weighted composition operators [Formula: see text], [Formula: see text] and [Formula: see text], where [Formula: see text] and [Formula: see text] are weighted Bloch-type (little Bloch-type) spaces. Also, new characterizations of the boundedness and compactness of the operators [Formula: see text] and [Formula: see text] are given. Examples of bounded, unbounded, compact and non-compact operators [Formula: see text] and [Formula: see text] are given to explain the role of inducing functions [Formula: see text], [Formula: see text] and the weights [Formula: see text], [Formula: see text] of the underlying weighted spaces.
日本军政统治下的拉让江流域华人经济
Authors: 张 青阳 , 陈 琮渊
Published: February 2022

本文利用战后国民政府的〈华侨财产损失登记表〉档案资料，探讨太平洋战争时期日本军政统治下，砂拉越拉让江流域华人的经济情况。本文指出，日军统治下，拉让江流域华人经济被迫转型以符合战时需求；华人工商业受损严重，仅小型作坊及零售店艰难维持；日军苛捐杂税及强制劳动对华人经济造成重大损害，日本军政府刻意操弄族群关系使之雪上加霜。
法国华人族群经济发展的再思考
Authors: 李 志鹏
Published: February 2022

本文基于流散理论 (Diaspora), 在田野调查的基础上，从地理学视角着重考察20世纪80年代以来华人族群经济在大巴黎地区的发展过程中出现的变化。本文首先对法国华人族群企业家经济活动的形成与发展进行分析阐述；其次通过对华人经济活动地理分布的探讨，指出华人进口批发业发展与中国经济发展的相互关联，同时结合1985年与2012年的相关调研数据比较分析华人商业活动空间的发展与演变。本文最后对华人族群经济发展成为一个具有流散族群性的跨国经济提出了思考。
多层次的调控机制
Authors: 吴 静玲
Published: February 2022

自19世纪70年代至20世纪70年代的近百年间, “汕–香–暹–叻” 贸易网络是南中国海上重要的跨域贸易网络之一，主要由潮州商人运营。恰逢这一时期的中国及东南亚各地政权动荡，经济政策朝令夕改，相关行业挑战重重，同业公会的调控机制得到充分的体现，特别是在处理跨国贸易的运输、汇兑，以及与政府朝令夕改的政策进行协商等问题上。新加坡本地的同业公会通过与 “汕–香–暹” 各地的同业公会以及中华总商会沟通联系，形成多层次的调控机制，一方面与不同港口城市从事相同产品贸易的行业紧密合作；另一方面也与业务相关利益取向相异的行业形成博弈关系，以达到利益平衡；另外，在面对中国与东南亚国家变化多端的贸易政策时，同业公会与中国政府、殖民地政府，以及贸易相关国家政府（比如马来亚联邦政府、荷属印尼政府）接触的时候，多数是借助中华总商会这一平台进行诉求上传与商情转达，形成上下级的组织网络共同与政府周旋。
DOUBLE DIVIDEND REVISITED: NON-REVENUE NEUTRAL TAX REFORMS
Authors: HAIBARA TAKUMI
Published: February 2022

The rebound effect requires a rethink of revenue recycling. It is this that this paper offers an alternative to mitigate this effect. Specifically, we adapt and extend the consumption-neutral tax reform of Haibara (Journal of Globalization and Development, 8, 1–11, 2017) to include pollution externalities. Unlike a revenue-neutral tax reform, this reform increases welfare irrespectively of the level of intercommodity tax distortions. With consumption-neutral schemes, exogenous energy efficiency improvements induce higher taxes on the dirty good consumption. Such tax hikes improve welfare more than would be the case in their absence. Consumption-neutral reforms can translate economic costs into a negative rebound effect and increase the first dividend. The double dividend is welcome but need not be a policy priority.
Compact Scintillator Array Detector (ComSAD) for Sounding Rocket and CubeSat Missions
Authors: Wang Pu Kai , Chen Chih-Yun , Hsu Hsiang-Chieh , Chang Mu-Hsin , Liu Wei Tai , Fang Hui-Kuan , Wu Ting-Chou , Chen Wen-Hao , Tsai Chin Cheng , Chen Alfred Bing-Chih , Yang Yi
Published: February 2022

The development of CubeSats and more frequent launch chances of sounding rockets are a total game changer to the space program, and it allows us to build space instruments that are technologically feasible and affordable. Therefore, it gives us a good opportunity to build a small cosmic-ray detector which has capabilities to measure the flux, direction, and even energy of cosmic rays at an altitude above the limitation of balloon experiments, and it may open a new door for building a constellation of detectors to study cosmic-ray physics. Compact Scintillator Array Detector (ComSAD) is a funded sounding rocket mission of Taiwan’s National Space Organization. In this paper, we present the concept, design, and performance of ComSAD which is also suitable for future CubeSat missions.
Restoration Algorithm-Based Ultrasound Image in Evaluating the Effect of Dexmedetomidine on Patients with Neurological Disorder Anesthetized by Sevoflurane
Authors: Yao Yingying , Sun Zhihui , Huang Yanming , Zhou Xiaoqin , Xia Daolin
Published: February 2022

The study focused on the application value of ultrasound images processed by restoration algorithm in evaluating the effect of dexmedetomidine in preventing neurological disorder in patients undergoing sevoflurane anesthesia. 90 patients undergoing tonsillectomy anesthesia were randomly divided into normal saline group, propofol group, and dexmedetomidine group. The ultrasound images were processed by restoration algorithm, and during the postoperative recovery period, ultrasound images were used to evaluate. The results showed that the original ultrasonic image was fuzzy and contained interference noise, and that the image optimized by restoration algorithm was clear, without excess noise, and the image quality was significantly improved. In the dexmedetomidine group, the extubation time was

10.6
±
2.3

minutes, the recovery time was

8.4
±
2.2

minutes, the average pain score during the recovery period was

2.6
±
0.7

, and the average agitation score was

7.2
±
2.4

. Of 30 patients, there were 13 cases with vertigo and 1 case with nausea and vomiting. The vascular ultrasound imaging showed that, in the dexmedetomidine group, the peak systolic velocities (PSV) of the bilateral vertebral arteries during the recovery period were

67.7
±
14.3

and

67.9
±
15.2
 
cm
/
s

, respectively; the end-diastolic velocities (EDV) of the bilateral vertebral arteries were

27.8
±
6.7

and

24.69
±
5.9
 
cm
/
s

, respectively; the PSV in bilateral internal carotid artery systolic peak velocities were

67.2
±
13.9

and

67.8
±
12.7
 
cm
/
s

, respectively; the EDV in bilateral internal carotid arteries were

27.7
±
5.3

and

26.9
±
4.9
 
cm
/
s

, respectively; bilateral vertebral artery resistance indexes (RIs) were

0.6
±
0.02

and

0.71
±
0.08

, respectively; the bilateral internal carotid artery RIs were

0.57
±
0.04

and

0.58
±
0.06

, respectively, all better than the normal saline group (

12.1
±
2.5

minutes,

10.1
±
2.3

minutes,

3.9
±
0.6

,

10.6
±
3.7

, 15 cases, 11 cases,

81.5
±
13.6

,

80.7
±
11.6
 
cm
/
s

,

29.3
±
6.8

,

28.9
±
6.7
 
cm
/
s

,

74.3
±
10.2

,

73.9
±
12.5
 
cm
/
s

,

29.1
±
4.3

,

29
±
4.5
 
cm
/
s

,

0.84
±
0.06

,

0.83
±
0.05

,

0.8
±
0.04

, and

0.81
±
0.05

) and the propofol group (

11.4
±
2.1

minutes,

9.0
±
2.1

minutes,

3.4
±
0.8

,

8.5
±
2.3

, 12 cases, 9 cases,

72.5
±
12.9

,

73.4
±
11.8
 
cm
/
s

,

28.6
±
5.4

,

26.5
±
5.1
 
cm
/
s

,

72.1
±
11.4

,

73.5
±
10.6
 
cm
/
s

,

28.8
±
5.6

,

27.3
±
4.7
 
cm
/
s

,

0.78
±
0.07

,

0.82
±
0.06

,

0.76
±
0.03

, and

0.78
±
0.05

), and the differences were statistically significant (

P
<
0.05

). In conclusion, ultrasound images processed by restoration algorithm have high image quality and high resolution. The dexmedetomidine can prevent neurological disorder in patients with sevoflurane anesthesia and is suggested in postoperative rehabilitation.
Promoting Variable Effect Consistency in Mixture Cure Model for Credit Scoring
Authors: Zheng Chenlu , Zhu Jianping , Fan Xinyan , Chen Song , Zhang Zhiyuan
Published: February 2022

Mixture cure models are widely adopted in credit scoring. Mixture cure models consist of two parts: an incident part which predicts the probability of default and a latency part which predicts when they are likely to default. The two model parts describe two quite relevant credit aspects. So, it is reasonable to expect that the two sets of the coefficients are somewhat related. Moreover, in practical cases, it is difficult to interpret the results when the two sets of the coefficients of the same variables have conflicting signs. Most existing works either ignore the interconnections of the two sets of coefficients or impose a strict constraint between them. We proposed a mixture cure model considering the variable effect consistency using a sign‐based penalty. It is a more flexible model that allows the two sets of coefficients to be in different distributions and magnitudes. To accommodate high‐dimensional credit data, a group lasso penalty is also imposed for variable selection. Simulation shows that the proposed method has competitive performance compared with alternative methods in terms of estimation and prediction. Furthermore, the empirical study illustrates that the proposed method outperforms the alternative method and can improve the interpretability of the results.
Performance Evaluation of Tourism Human Resource Management Based on Fuzzy Data Mining
Authors: Wei Fei
Published: February 2022

Tourism human resources performance management is an important means of enterprise core competitiveness; the assessment results is good or bad will directly affect the staff's work enthusiasm and attitude; the use of tourism human resources, configuration, and performance carries on the scientific, reasonable, and effective comprehensive evaluation and can fully stimulate the potential of employees. To continuously improve the work efficiency, quality, and level of staff, which has certain application value and practical significance for the long‐term and healthy development of tourism industry, this article analyzes the current situation of tourism human resource performance management, introduces the data mining technology and fuzzy data mining technology, and then gives the fuzzy data mining algorithm and detailed fuzzy data mining steps, through the fuzzy data mining technology to evaluate the performance of tourism human resource management. It also analyzes the key factors and existing problems of human resource management in tourism industry and puts forward innovative thinking countermeasures for the performance management of human resources in the tourism industry.
Magnetic Resonance-Guided Diagnosis of Spontaneous Intracranial Hypotension in a Middle-Aged Woman
Authors: Hughes Jordan , Chavez Briana
Published: February 2022

Spontaneous intracranial hypotension (SIH) is a rare condition caused by a cerebrospinal fluid (CSF) leak. It is diagnosed by clinical features that include an orthostatic headache combined with imaging findings demonstrating intracranial hypotension and a CSF leak. We present the case of a 45-year-old woman with an orthostatic headache who was found to have a sagging brain with a downward-displaced cerebellum and pachymeningeal enhancement with gadolinium contrast. This was initially misidentified as a Chiari I malformation, but the constellation of symptoms and MRI findings were later recognized as characteristic of SIH. Diagnosis of SIH and a CSF leak was confirmed with CT myelography. She was treated with a nontarget epidural blood patch, and her symptoms resolved. An orthostatic headache, a sagging brain, and pachymeningeal enhancement on MRI are highly specific for SIH, raising suspicion for this uncommon and often missed diagnosis.
Analysis of Clinical Efficacy of Clearing Heat and Dispelling Paralysis Soup in the Treatment of Osteoarthritis of the Knee Joint and Its Effect on Patients’ Motor Function
Authors: Xie Lihu , Li Mei
Published: February 2022

Objective. To investigate the effects of clearing heat and dispelling paralysis soup for osteoarthritis of the knee joint on the motor function of the knee joint and the level of inflammation of the organism in patients. Methods. One hundred and sixteen patients with knee osteoarthritis admitted from January 2020 to May 2021 were selected and randomly divided into 2 groups, 58 cases in the control group were treated with loxoprofen sodium dispersible tablets, and 58 cases in the experimental group were treated with Qinghe dispel paralysis soup on the basis of the control group and the patients’ balance ability analysis, gait parameter change analysis, VAS, JOA, AIMS2-SF scale assessment, and serum index. The treatment effects of the two treatment regimens were analyzed by testing. Results. The anterior-posterior axis, left-right axis, A2-A6, A4-A8, and circumferential axis of the experimental group were lower than those of the control group after treatment (

P
<
0.05

); the step length of the experimental group was higher than that of the control group after treatment (

P
<
0.05

), and there were no significant differences in step speed, double-support phase, and step width (

P
>
0.05

), but both groups improved significantly compared with those before treatment (

P
<
0.05

); the VAS score of the experimental group was lower than that of the control group after treatment. The VAS scores of the experimental group were lower than those of the control group, and the scores of JOA and AIMS2-SF were higher than those of the control group (

P
<
0.05

); the levels of TIMP-1 in the experimental group were higher than those in the control group, and the levels of TNF-α, TLR4, MMP-3, and IL-1 were lower than those in the control group after treatment (

P
<
0.05

); there was no significant difference in the incidence of adverse reactions between the two groups during treatment (

P
>
0.05

), and the efficiency of the experimental group was higher than that of the control group (

P
<
0.05

). Conclusion. Combined treatment with Qinghe dispel paralysis soup can better promote the recovery of balance, improve motor ability, and reduce the development of inflammation in the organism, with high safety and effectiveness.
[Retracted] A Performance Analysis Model for Corporate Human Resource Management Based on Extenics Theory
Authors: Li Mingyan , Gao Tiantian , Wang Jianxue , Wang Huanyu
Published: February 2022

There are several problems with the performance analysis of corporate human resource management (HRM), namely, the incomplete index system and the difficulty in decision‐making under multiple fuzzy factors. To solve these problems, this paper improves the method for corporate HRM performance analysis (HRMPA). First, a novel corporate HRMPA index system was established under the principle of comprehensiveness. Next, the fuzzy closeness of corporate HRMPA was calculated based on fuzzy theory, and the extenics correlation coefficient of corporate HRMPA was computed with the aid of the extenics theory. Then, fuzzy extenics factors were introduced to create an integrated corporate HRMPA model. The proposed model was proved valid and feasible through case analysis. The research results shed new light on the theories of HRMPA and enjoy great applicable value in engineering.
Classification of Hepatocellular Carcinoma and Intrahepatic Cholangiocarcinoma Based on Radiomic Analysis
Authors: Xu Xiaoliang , Mao Yingfan , Tang Yanqiu , Liu Yang , Xue Cailin , Yue Qi , Liu Qiaoyu , Wang Jincheng , Yin Yin
Published: February 2022

Introduction. Considering the narrow window of surgery, early diagnosis of liver cancer is still a fundamental issue to explore. Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICCA) are considered as two different types of liver cancer because of their distinct pathogenesis, pathological features, prognosis, and responses to adjuvant therapies. Qualitative analysis of image is not enough to make a discrimination of liver cancer, especially early-stage HCC or ICCA. Methods. This retrospective study developed a radiomic-based model in a training cohort of 122 patients. Radiomic features were extracted from computed tomography (CT) scans. Feature selection was operated with the least absolute shrinkage and operator (LASSO) logistic method. The support vector machine (SVM) was selected to build a model. An internal validation was conducted in 89 patients. Results. In the training set, the AUC of the evaluation of the radiomics was 0.855 higher than for radiologists at 0.689. In the valuation cohorts, the AUC of the evaluation was 0.847 and the validation was 0.659, which indicated that the established model has a significantly better performance in distinguishing the HCC from ICCA. Conclusion. We developed a radiomic diagnosis model based on CT image that can quickly distinguish HCC from ICCA, which may facilitate the differential diagnosis of HCC and ICCA in the future.
Event-Triggered Finite-Time Attitude Cooperative Control for Multiple Unmanned Aerial Vehicles
Authors: Han Qiang , Zhou Yongshuai , Liu Xin , Tuo Xianguo
Published: February 2022

The finite-time attitude cooperative control problem for a group of multiple unmanned aerial vehicle systems with external disturbances and uncertain parameters is discussed in this paper. The dynamics of the systems is described by quaternion avoiding the singularity. Based on the attitude error and angular velocity error, a novel nonsingular terminal sliding mode surface is proposed for the controller with event-triggered scheme. The lumped disturbances are estimated by neural networks with adaptive law. The communication frequency is decreased by the proposed distributed event-triggered based sliding mode controller. Lyapunov theory is utilized to analyze the stability of the systems, and the Zeno behavior is avoided by rigorous proof. Finally, simulation examples are presented to illustrate the efficiency of the proposed control algorithm.
Simulation Study on the Impact Response of Barrels with Different Rifling Profiles during Bullet Engraving
Authors: Wei Zhifang , Cheng Yangyang , Wang Zhiwei , Lin Yanpeng
Published: February 2022

Gun barrel bores are prone to ablative damage and stress concentration under high temperatures, pressures, and dynamic load impacts during bullet engraving, which may result in barrel failure. A dynamic stress analysis during bullet engraving is a prerequisite for barrel life analysis and design. Impact responses during bullet engraving were investigated in this study for rifled barrels with different cross-sectional profiles to improve the match between the dynamic performances of the gun barrel and bullet and effectively extend the barrel service life. First, feature suppression by expression based on a uniform parametrized template was used to perform parametric modeling of a gun barrel with rectangular, trapezoidal, multiarc, and multilateral-arc rifling profiles. Second, theoretical models were constructed considering different rifling structures: a model to calculate the chamber pressure, a model for heat transfer in the barrel during continuous firing, and a model to calculate the friction between a bullet and the barrel wall surface based on shear-slip friction theory. These models were integrated into a simulation, where the ABAQUS (ABAQUS. 6.14.1-4. 2014. DASSAULT SIMULIA.)/Explicit software was used to build a finite element model of the barrel dynamic stress under heat-force-friction coupling during bullet engraving. Finally, the dynamic response stresses were analyzed for bullet engraving into four barrels with different rifling profiles. All four types of barrels developed considerable stress at the junction between the forcing cone and the rifled bone under the same impact load. The stress values of the multiarc and multilateral-arc rifling were far below that for the rectangular and trapezoidal rifling. Thus, the barrels with multiarc and multilateral-arc rifling profiles had a higher impact resistance than the other two barrel types.
Utilization of Sustainable Resources for Promoting Energy Efficiency in Environment Using Smart Technologies
Authors: Vedanarayanan V. , Vibhakar Chirag , Sujaatha A. , Chavda Jiten K. , Karthik M. , Pramila P. V. , Raghavan Ishwarya Komalnu
Published: February 2022

Smart technology has potential in tracking the key challenges based on population based on the sustainable future. In today’s cultures, a smart approach enables for the integration of information needed to address crucial concerns. The critical challenge is to limit the effects of global warming while maintaining a balanced economic growth. The impact of global warming mitigates the fundamental problem while ensuring the balance economic development. Intense research efforts should be directed toward balanced resource utilization, renewable energy system integration, efficient energy conversion technologies, effective process integration, effective techniques to enable a circular economy framework, and other issues that are important to the population. This paper finds the latest technology in the field of smart grid technologies which focused on the effective enhancement and efficient utilization of resource. The issues and challenges in using sustainable future are discussed and bring new ideas towards the sustainable future base on the application of smart technologies.
Antenna Optimization Based on Auto-Context Broad Learning System
Authors: Ding Wei-Tong , Meng Fei , Tian Yu-Bo , Yuan Hui-Ning
Published: February 2022

To enhance the efficiency of antenna optimization, surrogate model methods can usually be used to replace the full-wave electromagnetic simulation software. Broad learning system (BLS), as an emerging network with strong extraction ability and remarkable computational efficiency, has revolutionized the conventional artificial intelligence (AI) methods and overcome the shortcoming of excessive time-consuming training process in deep learning (DL). However, it is difficult to model the regression relationship between input and output variables in the electromagnetic field with the unsatisfactory fitting capability of the original BLS. In order to further improve the performance of the model and speed up the design of microwave components to achieve more accurate prediction of hard-to-measure quality variables through easy-to-measure parameter variables, the conception of auto-context (AC) for the regression scenario is proposed in this paper, using the current BLS training results as the prior knowledge, which are taken as the context information and combined with the original inputs as new inputs for further training. Based on the previous prediction results, AC learns an iterated low-level and context model and then iterates to approach the ground truth, which is very general and easy to implement. Three antenna examples, including rectangular microstrip antenna (RMSA), circular MSA (CMSA), and printed dipole antenna (PDA), and 10 UCI regression datasets are employed to verify the effectiveness of the proposed model.
An Unusual Case of Multiple Myeloma with Light-Chain Cast Nephropathy Secondary to a Very Large Plasmacytoma without Bone Marrow Involvement
Authors: Komisarof Justin , Lipof Jodi , DiTursi Joseph , Chowdhry Amit , Grace Choung Hae Yoon , Burack W. Richard , Constine Louis , Passero Frank
Published: February 2022

Here, we report a case of a patient who presented to Strong Memorial Hospital with new-onset renal failure and anemia and was found to have multiple myeloma with lambda light-chain cast nephropathy secondary to a very large (14 cm × 14 cm × 12 cm) plasmacytoma without bone marrow involvement. This case is notable as solitary plasmacytomas are almost never seen with concomitant myeloma-defining CRAB criteria or significantly elevated serum free light-chain ratios. Although solitary plasmacytomas are typically definitively treated with radiation, this case highlights that systemic treatment may be helpful in certain clinical scenarios.
Value of 18F‐FDG PET/CT Combined with Lung HRCT in Diagnosis of Solitary Pulmonary Intravascular Metastasis
Authors: Ji Yu , Wang Yaru , Zheng Jing Song , Shao Chun Chun , Cui Yong
Published: February 2022

Background. Solitary pulmonary intravascular metastasis is a rare complication of malignant tumors, and accurate diagnosis can improve clinical decision‐making, but diagnosing it effectively using conventional techniques is difficult. Purpose. To explore the value of 18F‐FDG PET/CT combined with lung high‐resolution computed tomography (HRCT) in the diagnosis of solitary pulmonary intravascular metastasis. Methods. 18F‐FDG PET/CT, lung HRCT, and follow‐up data of 18,143 cancer patients were retrospectively analyzed to select patients with pulmonary vessel involvement besides the primary tumor only. The histopathological or imaging follow‐up results were used as the diagnostic criteria for pulmonary intravascular metastasis. Results. A total of 13 patients with 17 pulmonary intravascular metastases were found, of which 9 patients had a single lesion and 4 had double. The SUVmax was 1.1–5.4 (average, 2.4 ± 1.4), and the length of hypermetabolic metastasis was 5.1–24.1 mm (average, 10.7 ± 6.5 mm). All the intravascular metastases were located in the terminal pulmonary vessels. Strip or branched pulmonary vessels enlargement with increased metabolism was the main imaging manifestation (15/17, 88.2%), while the other 2 cases only showed strip metabolic enhancement without abnormalities in pulmonary vessels (2/17, 11.8%). Four pulmonary intravascular metastases were confirmed by pathology, and the other 13 cases were diagnosed by imaging follow‐up. Conclusion. 18F‐FDG PET/CT combined with lung HRCT is an effective technique for the diagnosis of solitary pulmonary intravascular metastasis. High‐strip or branched FDG uptake in the distal pulmonary vessel accompanied by corresponding morphological changes in patients with malignant tumors can be used as a specific diagnostic indicator.
New Approach for Targeted Treatment of Mild COVID-19 by Honeysuckle through Network Pharmacology Analysis
Authors: Li Huijuan , Li Yan , Luo Chunxiang , Liang Xueyan , Liu Zixuan , Liu Yu , Ling Yunzhi
Published: February 2022

Objective. To investigate the potential pharmacological value of extracts from honeysuckle on patients with mild coronavirus disease 2019 (COVID-19) infection. Methods. The active components and targets of honeysuckle were screened by Traditional Chinese Medicine Database and Analysis Platform (TCMSP). SwissADME and pkCSM databases predict pharmacokinetics of ingredients. The Gene Expression Omnibus (GEO) database collected transcriptome data for mild COVID-19. Data quality control, differentially expressed gene (DEG) identification, enrichment analysis, and correlation analysis were implemented by R toolkit. CIBERSORT evaluated the infiltration of 22 immune cells. Results. The seven active ingredients of honeysuckle had good oral absorption and medicinal properties. Both the active ingredient targets of honeysuckle and differentially expressed genes of mild COVID-19 were significantly enriched in immune signaling pathways. There were five overlapping immunosignature genes, among which RELA and MAP3K7 expressions were statistically significant (

P
<
0.05

). Finally, immune cell infiltration and correlation analysis showed that RELA, MAP3K7, and natural killer (NK) cell are with highly positive correlation and highly negatively correlated with hematopoietic stem cells. Conclusion. Our analysis suggested that honeysuckle extract had a safe and effective protective effect against mild COVID-19 by regulating a complex molecular network. The main mechanism was related to the proportion of infiltration between NK cells and hematopoietic stem cells.
Expatriação e adaptação de voleibolistas ao novo contexto social
Authors: Tertuliano Ivan Wallan , Montiel José Maria , Bartholomeu Daniel , Villela Marina Cristina , Machado Afonso Antonio
Published: February 2022

O objetivo do presente manuscrito foi analisar a adaptação dos atletas de Voleibol ao novo contexto social, após mudarem de equipe e cidade para continuarem a carreira, tanto no contexto internacional, como no nacional. Participaram 68 pessoas (48 atletas e 20 ex-atletas), sendo 43 homens e 25 mulheres, com média de idade de 27,29 anos. Os participantes foram divididos em 2 grupos de investigação: G1 (Atletas Internacionais) e G2 (Atletas Nacionais). Utilizou-se um instrumento com questões estruturadas, as quais poderiam ter respostas abertas ou fechadas com respostas em escala do tipo Likert de 5 pontos. O instrumento utilizado foi desenvolvido e avaliado enquanto evidência de validade via TRI, utilizando-se do ajuste ao modelo de Rasch. No presente manuscrito, apenas as questões pertinentes ao objetivo do manuscrito foram analisadas. Para as análises entre grupos, utilizou-se do teste t para amostras independentes e para análise intragrupo, utilizou-se da frequência absoluta e relativa das respostas, Anova one-way, teste t dependente e Correlação de Pearson. Os resultados, demonstraram que os dois grupos apresentaram boa adaptação ao novo contexto social, muito inﬂuenciados pela facilidade dos serviços oferecidos pelas cidades e pela não  discriminação. Além disso, os participantes dos dois grupos conseguiram constituir novas amizades, o que facilitou seu convívio no novo contexto social, passeios e relações extra clube. Diante de tais resultados, pode-se concluir que os participantes desse estudo demonstraram recursos pessoais adequados para adaptação, frente as mudanças de contexto, muito possivelmente, por terem utilizado estratégias de coping para esse enfrentamento social.
Os agrotóxicos: perigos e indiferença na mídia hegemônica
Authors: Couto Andreia Terzariol
Published: February 2022

A crise ambiental revelada pelas mudanças climáticas traduz-se em secas, inundações, incêndios, aumento da temperatura e do nível do mar, crise alimentar, e por trás dessa realidade está a ação humana, exacerbada no Antropoceno. Paralelamente, no Brasil, evidencia-se a utilização de um modelo econômico de produção de commodities para exportação, ambientalmente destrutivo, sendo uma das características desse modelo o uso intensivo de agrotóxicos, que, por sua vez, extrapolam o ambiente do agronegócio e chegam às culturas alimentares. Sendo uma das principais premissas do jornalismo seu comprometimento com o interesse público, não se percebe na mídia hegemônica um movimento de debate sobre essas questões, tampouco um comprometimento em esclarecer população sobre esses assuntos.
Marcelo Kischinhevsky - novas perspectivas para os estudos de podcast no Brasil
Authors: Rellstab Clara Cavalcanti
Published: February 2022

A linguagem dos podcasts está em permanente construção: não se trata de uma mera cópia daquilo que se faz no rádio tradicional, tampouco apresenta originalidade o suficiente para consolidar-se como um meio de linguagem totalmente inovadora. Marcelo Kischinhevsky, doutor pela Universidade Federal do Rio de Janeiro (UFRJ), nesta entrevista, apresenta perspectivas e horizontes para novos estudos a respeito de podcasts, estudos de rádio e linguagem radiofônica na podosfera.
Comunicação de Resistência: a mídia alternativa brasileira on-line na luta pelos direitos humanos
Authors: Rocha Alves Veronica de Paula da
Published: February 2022

Considerando o cenário brasileiro atual, caracterizado pela ascensão do conservadorismo, fragilização da democracia e desmonte de direitos, este artigo busca compreender como o conteúdo produzido e as estratégias utilizadas pela mídia alternativa, ao abordar pautas relacionadas aos direitos humanos, podem auxiliar nessa luta. Neste estudo qualitativo e exploratório, utiliza-se um questionário como instrumento para coleta de dados, aplicado para representantes de veículos de mídia alternativa atuantes no país: Ponte Jornalismo, Voz das Comunidades, Jornalistas Livres e The Intercept Brasil. Além disso, é realizada uma pesquisa documental por meio de um levantamento dos conteúdos publicados, durante três meses, no Facebook dos participantes.
Estudos de Futebol Americano no Brasil: investigação do esporte na área da comunicação e proposta de expansão
Authors: Storel Thalita Fomin
Published: February 2022

Este texto tem por objetivo expor e analisar o atual estado da arte do esporte e especificamente do futebol americano no cenário acadêmico brasileiro no campo de conhecimento da comunicação. A pesquisa se dividiu em quatro partes principais, a primeira tratando as áreas e disciplinas que permeiam os estudos científicos relacionados ao esporte generalizado, sem distinção de área, modalidade e aplicação, seguido de um enfoque na área da comunicação sobre o tema. Para as últimas duas partes, o foco torna-se o futebol americano: como o objeto é abordado no campo de conhecimento comunicacional e uma proposta de investigação de consumo simbólico da modalidade esportiva. A passagem pela construção dos temas leva à indicação de que o futebol americano como objeto de estudo em comunicação ainda apresenta características menos constantes e consistentes do que os estudos que competem o futebol e o esporte de maneira geral, e consequentemente há espaço para oportunidades e caminhos de desenvolvimento no campo científico.
Antimicrobial activity in pit and fissure sealants: a systematic review
Authors: Ferreira Izabela , Oliveira Thaisa Theodoro de , Reis Andréa Cândido dos
Published: February 2022

Objective: This study aimed to systematically review the literature about sealants modified with materials to promote antimicrobial activity and answer the question “What is the effect of incorporating materials that promote antimicrobial activity to pit and fissure sealants?” Materials and methods: Data were collected from questions about the material incorporated, its concentration, purpose of incorporation, analyses, and conclusions obtained. The Cochrane Library, LILLACS, ScienceDirect, and PubMed databases were searched with the terms “SEALANT”, “ANTIMICROBIAL”, and “ANTIBACTERIAL”. The selection of studies was performed in two stages. Inclusion criteria were applied via the evaluation of titles and abstracts, and exclusion criteria, via the complete reading of the studies. The adapted Joanna Briggs Institute (JBI) tool was used to analyze bias risk. Results: Due to the heterogeneity of the data found, it was impossible to perform a meta-analysis. We obtained 1389 references, including 11 of them in this review. Analysis of the studies found that modified sealants may show antimicrobial activity and alter their other properties. After applying the JBI tool, all studies showed low bias risk. Conclusion: Modified pit and fissure sealants show antimicrobial activity and altered physicochemical and mechanical properties.
Da bexiga à vacina: a obra pedagógica de Manoel Joaquim Henriques de Paiva
Authors: Peruchi Amanda
Published: February 2022

Este trabalho objetiva apresentar uma inédita edição, com estudo introdutório, da obra Preservativo das bexigas [...], do médico português Manoel Joaquim Henriques de Paiva, publicada em 1801. Trata-se do primeiro escrito em língua portuguesa a divulgar e defender a vacina contra a varíola, desenvolvida por Edward Jenner no final do século XVIII. Com essa obra, Henriques de Paiva buscava elencar os benefícios da vacina vacuns e convencer a população “em todas as províncias de Portugal e de seus Domínios, mormente no Brasil, onde são vítimas das bexigas ordinárias milhares e milhares de pessoas”, a colocar “em prática este maravilhoso descobrimento”. Assim, a edição aqui apresentada situa historicamente e dá luz a um relevante documento da época da aplicação das primeiras vacinas contra a varíola no Brasil e em Portugal. Além disso, é também propósito deste trabalho estimular a discussão sobre o papel dos especialistas na popularização de certos procedimentos médicos, visto que o Preservativo das bexigas [...] é uma peça pedagógica sobre a vacinação.
Empatia na área da saúde
Authors: Mansur Samira Schultz , Nunes Vicente Nikoly
Published: February 2022

A empatia é uma habilidade inata que pode ser aprimorada por meio dos relacionamentos. Esta pesquisa teve o objetivo principal de compreender as relações de empatia no contexto da área da saúde na obra Ensaio sobre a Cegueira, de José Saramago, além de identificar o comportamento de empatia na interação entre médico e pacientes em recortes da narrativa e exemplificar alternativas para desenvolver empatia na área da saúde. Sugere-se que o comportamento empático entre profissionais da saúde e seus pacientes, o qual pode ser desenvolvido pela literatura, arte e meditação, melhora a prática clínica e favorece a relação de confiança entre ambos, promovendo qualidade ao atendimento com repercussões no tratamento.
Geologia e Barroco
Authors: Santos Alexandre Henrique da Silva dos
Published: February 2022

Este artigo discute as relações entre a obra Teoria Sacra da Terra, elaborada pelo teólogo anglicano inglês Thomas Burnet (1635-1715), e o Barroco vivenciado pela sociedade europeia seiscentista. Nessa análise, constatou-se a forte influência da cosmovisão barroca sobre o tempo na teoria geológica elaborada por Burnet, a qual, por sua vez, apresenta importantes contribuições para as teses elaboradas pela moderna Geologia sobre o tempo da Terra e a dinâmica de seus fenômenos. Diante disso, é possível perceber uma tensão teórica sobre o tempo já no século XVII, o qual antecede as discussões empíricas sobre o tempo profundo vivenciadas pela Geologia em fins do século XVIII e início do XIX.
Biografia Científica
Authors: Ferreira Francisco Rômulo Monte , Assis de Queiroz Francisco
Published: February 2022

Este artigo se propõe examinar o papel da narrativa biográfica na história da ciência. No presente trabalho se examina o caráter híbrido das biografias e a maneira como a biografia científica está indissociavelmente relacionada com a visão de Ciência que vigora no Ocidente nos séculos XIX e XX. Apresentamos um esboço biográfico de Charles Darwin como estudo de caso.
Fundamentos de uma pesquisa histórica sobre o Instituto Oscar Freire – apontamentos conceituais, historiográficos e documentais
Authors: Machado João Denardi
Published: February 2022

A partir da percepção de que o conhecimento histórico é construído na tensão entre o objeto de análise e o tripé composto por fundamentos teórico-metodologicos, debate historiográifico e análise documental, o texto demonstra como a história do Instituto Oscar Freire da Faculdade de Medicina da USP pode ser compreendida dentro dessas definições, de forma a romper com a visão linearista e memorialista do passado da instituição.
A contribuição de George Newport (1803-1854) para a elucidação do papel dos componentes do sêmen masculino na reprodução animal
Authors: Martins Natália Abdalla , Prestes Maria Elice Brzezinski
Published: February 2022

Este artigo tem como objetivo refletir acerca das contribuições do pesquisador inglês George Newport (1803-1854) para a elucidação de uma questão amplamente investigada entre os séculos XVII e XIX: o papel dos componentes do sêmen masculino na reprodução. Após apresentação de algumas informações de sua biografia científica, serão discutidos aspectos de sua obra “On the Impregnation of the Ovum in the Amphibia” (1851). Será dada ênfase à análise dos experimentos realizados para investigar o papel preciso dos espermatozoides e do líquido seminal na fecundação de ovócitos, indicando a consciência do autor sobre a contribuição do seu estudo para o conhecimento sobre a reprodução animal.
WHO Imunology Research and Training Centre em São Paulo, um marco na história da imunologia na América do Sul.
Authors: Monteiro Paulo Henrique , Alves Olga Sofia Fabergé , Marques Cristiano Correa de Azevedo
Published: February 2022

No início da década de 1960 a Organização Mundial de Saúde reconhece no campo da imunologia uma perspectiva para o controle de doenças infectocontagiosas, no que diz respetio às áreas diagnóstica e de imunização. Em 1963 foi estabelecido um programa em escala mundial voltado ao desenvolvimento de pesquisas em imunologia com a formação de Centros de Pesquisa e Treinamento em Imunologia, entre estes estava o de São Paulo.  O presente artigo tem como objetivo descrever o contexto de criação desse centro, seus objetivos e conteúdos, público-alvo e atividades, identificar os principais personagens e sua repercussão no cenário da ciência e tecnologia. Método: Estudo descritivo utilizando pesquisa documental e entrevistas com docente e ex-alunos do IRTC. Resultados: Inicialmente instalado na Escola Paulista de Medicina no ano de 1966, foi transferido para o Instituto Butantan em 1969 onde manteve suas atividades até 1987. Essas se assentavam no binômio ensino-pesquisa, com aulas teóricas e práticas laboratoriais. Nos dez primeiros anos de funcionamento foram recebidos 21 professores estrangeiros, de 18 instituições de sete países. Conclusão: Entre 1966 e 1983 formaram-se pelo menos 131 imunologistas brasileiros e latino americanos. Isto significou um importante aporte na formação de uma massa crítica para a consolidação desta disciplina no País e na América do Sul.