bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of early and late Pneumocystis jirovecii Pneumonia in kidney transplant patients: the Korean Organ Transplantation Registry (KOTRY) Study
Authors: Lee Gongmyung , Koo Tai Yeon , Kim Hyung Woo , Lee Dong Ryeol , Lee Dong Won , Oh Jieun , Kim Beom Seok , Kim Myoung Soo , Yang Jaeseok ,   KOTRY Study Group, Kim Myoung Soo , Yang Jaeseok , Kong Jin Min , Kwon Oh Jung , Kim Deok Gie , Jung Cheol Woong , Kim Yeong Hoon , Kim Joong Kyung , Kim Chan-Duck , Min Ji Won , Lee Sik , Park Yeon Ho , Park Jae Berm , Park Jung Hwan , Park Jong-Won , Ban Tae Hyun , Song Sang Heon , Song Seung Hwan , Shin Ho Sik , Yang Chul Woo , Yoon Hye Eun , Lee Kang Wook , Lee Dong Ryeol , Lee Dong Won , Oh Jieun , Lee Sang-Ho , Lee Su Hyung , Lee Yu Ho , Lee Jung Pyo , Lee Jeong-Hoon , Jeon Jin Seok , Jun Heungman , Jeong Kyung Hwan , Chung Ku Yong , Lee Jong Soo , Ki Ju Man , Chae Dong-Wan , Choi Soo Jin Na , Shin Sung , Han Seungyeup , Huh Kyu Ha
Published: June 2022

Late Pneumocystis jirovecii pneumonia (PJP) is not rare in the era of universal prophylaxis after kidney transplantation. We aimed to determine the nationwide status of PJP prophylaxis in Korea and compare the incidence, risk factors, and outcomes of early and late PJP using data from the Korean Organ Transplantation Registry (KOTRY), a nationwide Korean transplant cohort. We conducted a retrospective analysis using data of 4,839 kidney transplant patients from KOTRY between 2014 and 2018, excluding patients who received multi-organ transplantation or were under 18 years old. Cox regression analysis was performed to determine risk factors for early and late PJP. A total of 50 patients developed PJP. The number of patients who developed PJP was same between onset before 6 months and onsets after 6 months. There were no differences in the rate, duration, or dose of PJP prophylaxis between early and late PJP. Desensitization, higher tacrolimus dose at discharge, and acute rejection were associated with early PJP. In late PJP, old age as well as acute rejection were significant risk factors. In conclusion late PJP is as common and risky as early PJP and requires individualized risk-based prophylaxis, such as prolonged prophylaxis for old patients with a history of rejection.
Effects of exercise initiation and smoking cessation after new-onset type 2 diabetes mellitus on risk of mortality and cardiovascular outcomes
Authors: Kim Mee Kyoung , Han Kyungdo , Kim Bongsung , Kim Jinyoung , Kwon Hyuk-Sang
Published: June 2022

Lifestyle changes after a diagnosis of type 2 diabetes mellitus (DM) can affect vascular health outcomes. The objective of this study was to investigate the effects of changes in smoking and exercise on the risk of cardiovascular disease (CVD) and mortality in patients with newly diagnosed DM. Data were analyzed for 181,591 people with newly diagnosed type 2 DM who underwent 2 serial health examinations within 2 years before and after DM diagnosis. The study population was followed from the baseline to the date of death or cardiovascular events, or until December 31, 2018 and median follow-up was 6.07 years. Based on the change in status from before to after the diagnosis, participants were grouped into smoking groups (continuous smokers, quitters, new smokers, and nonsmokers) and exercise groups (constant exercisers, new exercisers, exercise dropouts, and nonexercisers). Compared with the nonexercisers, those who initiated exercise after their DM diagnosis had a lower risk of myocardial infarction (MI), stroke, and all-cause mortality: the hazard ratio (HR; 95% confidence interval [CI]) was 0.85 (0.76–0.94) for MI, 0.86 (0.78–0.94) for stroke, and 0.84 (0.89–0.90) for all-cause mortality. Quitters had a higher risk of MI, stroke, and all-cause mortality than nonsmokers, but their risk level was much lower than that in continuous smokers. When the group of continuous smokers and nonexercisers was considered as the reference group, participants who quit smoking and remained nonexercisers had a 21% lower risk of CVD (HR 0.79; 95% CI 0.70–0.90). Those who quit smoking and started exercising had a 46% reduced risk of CVD (HR 0.54; 95% CI 0.41–0.71) and a 22% reduced risk in all-cause mortality (HR 0.78; 95% CI 0.63–0.96). Smoking cessation and exercise initiation after a diagnosis of new-onset type 2 DM was associated with a reduced risk of CVD and all-cause mortality.
Incidence density and factors associated with peripheral neuropathy among women with breast cancer during taxane-based chemotherapy
Authors: Rattanakrong Nida , Siriphorn Akkradate , Boonyong Sujitra
Published: June 2022

This work aimed to determine the incidence density of taxane-induced peripheral neuropathy (TIPN) and its risk factors among women with breast cancer. One hundred and forty-one women with breast cancer participated in this cohort study. TIPN symptoms were evaluated with the European Organization for Research and Treatment of Cancer CIPN specific self-report questionnaire (EORTC QOL-CIPN20) at five-time points throughout chemotherapy treatment. Over three months, 125 (89%) and 59 (44.03%) women with breast cancer were identified with sensory and motor neuropathy, respectively. The sensory neuropathy incidence density was 21 per 1000 person-days. The motor neuropathy incidence density was 6 per 1000 person-days. This study discovered a significant link between age and the incidence density of sensory neuropathy (HR = 1.02; 95% CI: 1.01–1.05) as well as motor neuropathy (HR = 1.05; 95% CI: 1.01–1.08). These findings imply that screening may be necessary to detect early TIPN symptoms and provide appropriate rehabilitation programs, particularly for elderly persons.
The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems
Authors: Hupont Isabelle , Tolan Songül , Gunes Hatice , Gómez Emilia
Published: June 2022

This work focuses on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person’s identity, emotions, demographic attributes) or newly generated imagery (e.g. with modified facial attributes). Facial processing tasks, such as face detection, face identification, facial expression recognition or facial attribute manipulation, are generally studied as separate research fields and without considering a particular scenario, context of use or intended purpose. This paper studies the field of facial processing in a holistic manner. It establishes the landscape of key computational tasks, applications and industrial players in the field in order to identify the 60 most relevant applications adopted for real-world uses. These applications are analysed in the context of the new proposal of the European Commission for harmonised rules on AI (the AI Act) and the 7 requirements for Trustworthy AI defined by the European High Level Expert Group on AI. More particularly, we assess the risk level conveyed by each application according to the AI Act and reflect on current research, technical and societal challenges towards trustworthy facial processing systems.
Musical emotions affect memory for emotional pictures
Authors: Talamini Francesca , Eller Greta , Vigl Julia , Zentner Marcel
Published: June 2022

Music is widely known for its ability to evoke emotions. However, assessing specific music-evoked emotions other than through verbal self-reports has proven difficult. In the present study, we explored whether mood-congruency effects could be used as indirect measures of specific music-evoked emotions. First, participants listened to 15 music excerpts chosen to induce different emotions; after each excerpt, they were required to look at four different pictures. The pictures could either: (1) convey an emotion congruent with that conveyed by the music (i.e., congruent pictures); (2) convey a different emotion than that of the music, or convey no emotion (i.e., incongruent pictures). Second, participants completed a recognition task that includednewpictures as well asalready seencongruent and incongruent pictures. From previous findings about mood-congruency effects, we hypothesized that if music evokes a given emotion, this would facilitate memorization of pictures that convey the same emotion. Results revealed that accuracy in the recognition task was indeed higher for emotionally congruent pictures than for emotionally incongruent ones. The results suggest that music-evoked emotions have an influence on subsequent cognitive processing of emotional stimuli, suggesting a role of mood-congruency based recall tasks as non-verbal methods for the identification ofspecificmusic-evoked emotions.
Lead ferrite-activated carbon magnetic composite for efficient removal of phenol from aqueous solutions: synthesis, characterization, and adsorption studies
Authors: Allahkarami Esmaeil , Dehghan Monfared Abolfazl , Silva Luis Felipe Oliveira , Dotto Guilherme Luiz
Published: June 2022

A novel lead ferrite-magnetic activated carbon (lead ferrite-MAC) composite was developed using the chemical co-precipitation method. Instrumental analyses such as X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and Brunauer–Emmett–Teller (BET) analysis were performed to characterize adsorbent. The uptake of phenol from aqueous solutions using the developed adsorbent was compared to that of pristine activated carbon. The maximum adsorption capacity of lead ferrite-MAC composite (145.708 mg/g) was more than that of pristine activated carbon (116.606 mg/g) due to the metal hydroxides coated on activated carbon since they improve the retention of phenol on the available active sites of adsorbent and create an additional electrostatic interaction with the phenol adsorbate. Regarding the high value of the coefficient of determination (R2) and adjusted determination coefficient (R2adj), coupled with the lower values of average relative error (ARE) and minimum squared error (MSE), it can be found that the isothermal data for the lead ferrite-MAC adsorbent were in agreement with the isotherm models of Redlich-Peterson and Langmuir. From the kinetic viewpoint, pseudo-second-order and linear driving force models explained the phenol adsorption data for both adsorbents. The reusability tests for lead ferrite-MAC composite revealed that after six cycles, 85% of the initial adsorption capacity was maintained. The developed adsorbent can be successfully applied to uptake phenol from aqueous solutions.
A comprehensive study on the effect of carbonization temperature on the physical and chemical properties of carbon fibers
Authors: Shokrani Havigh Roya , Mahmoudi Chenari Hossein
Published: June 2022

Carbon fibers were successfully fabricated via the electrospinning technique, followed by stabilizing and carbonizing electrospun PAN fibers. A wide range of analytical techniques such as scanning electron microscopy (SEM), transmission electron microscopy (TEM), X-ray diffraction (XRD), Diffuse reflectance spectroscopy (DRS), photoluminescence spectroscopy (PL), vibrating sample magnetometer (VSM) techniques, and Hall effect were performed to study of the effect of carbonization temperature on the physical and chemical characterization of carbon fibers. The SEM images of the PAN precursor exhibit a smooth outer surface, after the stabilization and carbonization process, along with a broken fiber at higher carbonization temperature about 1400 °C. Morphological characterization based on the recorded TEM images of carbonized fibers at 1000 °C and 1400 °C, showed that the obtained morphology can be classified as fiber structures, where their diameters ranged from 196 to 331 nm. The XRD patterns of PAN-based carbon fibers confirm the structural changes from linear structure into a graphite-like structure. The DRS study indicates the possible π–π*/σ–π* and n–π* transitions. The presence of the surface functional groups and different trapped radiative recombination on the emission bands is confirmed by the PL. VSM results shows the weak ferromagnetic nature of the carbon fibers.
Generalized synthesis of NaCrO2 particles for high-rate sodium ion batteries prepared by microfluidic synthesis in segmented flow
Authors: Quak Do-Hyun , Sarif Massih , Opitz Phil , Lange Martin , Jegel Olga , Pham Dang Hieu , Koziol Martha , Prädel Leon , Mondeshki Mihail , Tahir Muhammad Nawaz , Tremel Wolfgang
Published: June 2022

Ternary oxides NaMO2 (M = Cr, Fe, Co, Al) were prepared by microfluidic processing in water-in-oil emulsions followed by a short annealing step.
AAg3Ga8Se14 (A = Rb, Cs): second-harmonic generation responses realized through the parallel arrangement of AgSe4 and GaSe4 tetrahedrons
Authors: Qiu Zhi-Xin , Pei Shao-Min , Chen Wen-Fa , Jiang Xiao-Ming , Liu Bin-Wen , Guo Guo-Cong
Published: June 2022

Two new quaternary nonlinear optical crystals AAg3Ga8Se14 (A = Rb, Cs), exhibited phase-matching second-harmonic generation responses (0.6 and 0.7 times that of AgGaS2) and LIDT (2.1 and 1.5 times that of AgGaS2).
Towards macrocyclic frustrated Lewis pairs
Authors: Yeung Jason , Becker Matthias , Stephan Douglas W.
Published: June 2022

Macrocycles containing boron and nitrogen donors are prepared and shown to react with B(C6F5)3, providing insights for the design of macrocyclic FLPs.
An archetype of the electron-unobstructed core–shell composite with inherent selectivity: conductive metal–organic frameworks encapsulated with metal nanoparticles
Authors: Si Xiaomeng , Zhao Haojie , Yi Beili , Zhou Li , Ling Yang , An Yuanyuan , Wang Yanli , Lee Hiang Kwee , Tsung Chia-Kuang , Ma Yanhang , Chou Lien-Yang
Published: June 2022

This work represents the novel example of core-shell NPs@conductive MOFs applied in electrocatalysis. This composite exhibits the ability to expedite electron transfer with different thicknesses of electrode materials through direct interfaces.
Preparation of glycosyl carboxylic acidsviastereoselective synthesis and oxidative cleavage ofC-vinyl glycosides
Authors: Pan Qiang , Zhou Qi-Min , Rui Pei-Xin , Hu Xiang-Guo
Published: June 2022

We have developed a cyanide-free strategy for synthesizing glycosyl carboxylic acids, employing stereoselective synthesis and oxidative cleavage ofC-vinyl glycosides as the key steps.
Solution structure of a thrombin binding aptamer complex with a non-planar platinum(ii) compound
Authors: Zhu Bo-Chen , He Juan , Xia Xiao-Yu , Jiang Jingxing , Liu Wenting , Liu Liu-Yi , Liang Bing-Bing , Yao Hua-Gang , Ke Zhuofeng , Xia Wei , Mao Zong-Wan
Published: June 2022

A quasi-cross-shaped platinum(II) compound (L′2LPt) with inhibitory activity against thrombin binds the antiparallel two-G-tetrad G-quadruplex TBA. The NMR structure of the Pt–G-quadruplex was solved to reveal this unusual “wall-mounted” binding mode.
Developing a nitrile-based lithium-conducting electrolyte for low temperature operation
Authors: Langevin Spencer A. , McGuire Matthew M. , Le Nam Q. , Ragasa Eugene , Hamann Tanner , Ferguson Gehn , Chung Christine , Domenico Janna , Ko Jesse S.
Published: June 2022

Nitrile-based electrolytes are attractive for low temperature Li-ion batteries.
Development of a single-molecule biosensor with an ultra-low background for the simultaneous detection of multiple retroviral DNAs
Authors: Wang Zi-yue , Meng Ya-ru , Hu Jinping , Qiu Jian-Ge , Zhang Chun-yang
Published: June 2022

We develop a single-molecule biosensor with an ultra-low background for the simultaneous detection of multiple retroviral DNAs.
Accumulating bright excitons on the hybridized local and charge transfer excited state for organic semiconductor lasers
Authors: Chen Rui , Zhou Wu , Gong Yanjun , Zhou Zeyang , Wang Hong , Dai Chenghu , Zhao Yong Sheng , Che Yanke , Zhang Chuang , Yao Jiannian
Published: June 2022

The hybridization of local and charge transfer excited states is proven to accumulate bright excitons for both optically pumped lasing and electroluminescence at high current density.
Optimized energy storage performance by a depolarization field in BaMn0.01Ti0.99O3/Na0.5Bi0.5TiO3 multilayer thin films
Authors: Yue Caiyu , Sun Huajun , Yan Chao , Huang Xuehui , Sui Huiting , Hu Yunlong
Published: June 2022

Aging of thin films has long been considered a detrimental effect, yet it is a simple and convenient way to improve energy storage performance.
A penta-BCP sheet with strong piezoelectricity and a record high positive Poisson's ratio
Authors: Hou Changsheng , Shen Yiheng , Sun Wei , Chen Yanyan , Ni Dongyuan , Wang Qian
Published: June 2022

The penta-BCP sheet is the first pentagon-based sheet with a Poisson's ratio larger than 1.00, with a record high value of 1.30 along the [010] direction, possessing strong piezoelectricity due to its unique geometry and polarized bonding.
Intraword Variability in Children With Auditory Brainstem Implants: A Longitudinal Comparison With Children With Cochlear Implants
Authors: Faes Jolien , Gillis Steven
Published: June 2022

Purpose:

Intraword variability designates the phenomenon that a particular target word is produced variably by a child at one point in the child's development. In this study, the amount of intraword variability is studied longitudinally in children with auditory brainstem implants (ABIs). Auditory brainstem implantation is a relative recent technique in pediatric hearing restoration. Therefore, little is known about the phonological development of these children's speech.

Method:

The intraword variability is investigated in three children with ABI, in comparison to children with cochlear implants, matched on lexical development. Intraword variability is measured using relative entropy in order to take into account the frequency distribution in children's productions.

Result:

Results showed considerable variation between the three children with ABI. Still, all children had higher levels of intraword variability in their spontaneous speech productions as compared to children with cochlear implants.

Conclusion:

It seems that children with ABI are lagging behind their phonological development in reference to children with cochlear implants.
Cross-Disciplinary Practices and Perspectives of Auditory Rehabilitation for Adults With Cochlear Implants
Authors: Ray Christin , Glade Rachel , Culbertson Deborah S.
Published: June 2022

Purpose:

The objective of this study was to examine cross-disciplinary clinical practice approaches and professional characterizations of auditory rehabilitation (AR) for adults with cochlear implants (CIs).

Method:

A survey was distributed nationally to audiologists, speech-language pathologists, and physicians. Included professionals self-identified as hearing health care providers for adults with CIs. Survey topics included the scope of AR, practice patterns and professional roles in service delivery, and barriers to providing comprehensive adult AR services.

Results:

Sensory management services were reported as standard audiological practice but were considered within the scope of AR by less than half of the 63 participating clinicians. Nearly 80% of respondents viewed counseling and instruction services as components of AR. In addition, 97% believed that the scope of AR practice included perceptual training, but these elements were provided less often than any other component. Audiologists commonly provided counseling and instruction, sometimes in conjunction with speech-language pathologists. Multidisciplinary approaches generally enhanced the breadth and depth of services offered by providers. Common obstacles to comprehensive AR practice included inadequate reimbursement, limited patient uptake, and a scarcity of available and qualified providers.

Conclusions:

The survey results illustrated varied clinical practice patterns and a range of professional perspectives regarding AR for adults with CIs. A deeper examination of the critical barriers to a more standard narrative and approach is warranted to guide the advancement of comprehensive AR for adults with CIs.
An aspect sentiment analysis model based on adversarial training and multi-attention
Authors: Wang Qing , Chen Hailong , Zheng Xin
Published: June 2022

Aiming at the disadvantages of the gradient vanishing and exploding of the Recurrent Neural Network in the traditional deep learning algorithm and the problem that the Convolutional Neural Network cannot obtain the global features of the classified text, a CNN(Convolutional Neural Network)-BiLSTM (Bidirectional Long Short-Term Memory) sentiment analysis method based on adversarial training and multi-layer attention is proposed to give full play to the ability of CNN to extract phrase-level features of text and the ability of BiLSTM to extract global structural information of text, and the multi-layer attention mechanism will assign higher weights to keywords, and the adversarial training can well solve the model instability problem of the current deep learning model. Using the public data set Laptop reviews and Restaurant Reviews from SemEval 2014 for verification, the results show that the accuracy of the model proposed in this paper is 1 and 1.9 percentage points higher than that of the original model on the two data sets. In contrast, the model is more efficient in aspect-level sentiment classification tasks.
Phishing short URL detection based on link jumping on social networks
Authors: Xie Bailin , Li Qi , Wei Na
Published: June 2022

Nowadays, a large number of people frequently use social networks. Social networks have become important platforms for people to publish and obtain information. However, social networks have also become the main venue for hackers to initiate online fraud. Phishing is a common way used by hackers to launch online fraud on social networks. This paper proposes a method for detecting phishing short URL based on the link jumping. The method uses a hierarchical hidden Markov model with two-layer structure to describe the link jumping process after user clicking on short URL, so as to identify phishing short URL on social networks. The proposed method includes a training phase and an identification phase. In the identification phase, the average log-likelihood probability of the observation sequence is calculated. An experiment based on real datasets of Weibo is conducted to evaluate this method. The experiment results validate the effectiveness of this method.
Polynomial fitting based on least squares approximates for first-order Tracy-Widom distribution
Authors: Tian Chong , Lei Kejun , Xie Xiaojuan , Tan Yuhao , Yang Xi
Published: June 2022

Tracy-Widom distribution can primely describe the limit distribution of the largest eigenvalue of noise matrix, so it is widely used in the field of signal processing and wireless communication. The exact expression of this distribution is very complex and difficult to be applied in practice. Therefore, an approximate method of Tracy-Widom distribution based on least squares is proposed, in which the optimal fitting order and optimal fitting coefficient are determined by minimizing the average fitting uncertainty. The simulation results show that the fitting results can accurately predict the largest eigenvalue distribution of the noise matrix, which proves the effectiveness of the polynomial fitting method to approximate the first-order Tracy-Widom distribution.
Thunderstorm disaster prediction based on enhanced GWO optimized BP neural network
Authors: Lv Yana , Qin Xutong , Zhang Bin , Du Xiuli
Published: June 2022

Aiming at the problem that traditional BP algorithm is prone to fall into local optimum when carrying out thunderstorm disaster prediction, a thunderstorm disaster prediction method based on BP neural network optimized by enhanced GWO algorithm is proposed in this paper. Firstly, the global search capability of GWO is enhanced by introducing clone mutation operation in genetic algorithm and position update idea in particle swarm optimization, and the convergence speed of the algorithm is improved. Then, the BP neural network weight and threshold optimized by the enhanced GWO algorithm are used to build the network model and predict the occurrence of thunderstorm disasters. Simulation results show that compared with the original BP algorithm, GWO-BP algorithm and PSO-BP algorithm, the improved IPSGWO-BP algorithm improves the accuracy of thunderstorm disaster prediction by 13.33%, 12.50% and 8.33%, respectively. Meanwhile, the null alarm rate is lower, the optimization ability is stronger, and the convergence speed is faster.
A speed measuring system of hermetic centrifuge
Authors: Zhang Yifan , Chong Liu
Published: June 2022

Based on the detected vibration signal, a measurement system was designed to solve the current problem of closed centrifuge speed measurement. The system collected and adjusted the signal collected by the vibration sensor, and then send it to the control unit STM32 for spectrum analysis to get the speed frequency. The sampling data was analysed and processed in PC through serial communication. Programs were written to achieve data sampling, filtering and storage, and the important parameters such as acceleration waveforms, vibration frequency and actual speed were displayed on the screen. The experimental results show that the system can accurately calculate the real-time speed of the closed centrifuge according to the measured vibration signals, which has the advantages of high stability, detection accuracy and real-time performance.
Urban waterlogging monitoring system based on LoRa technology
Authors: Shao Fei , Zeng Pengyu
Published: June 2022

In the construction of smart city, this paper proposes a new waterlogging measurement mode: multiple small sensors are used as waterlogging information collection terminals, LoRa technology forms a wide area information network, STM32 series microcontroller and LoRa technology feed back the waterlogging terminal information to the information processing terminals. Digital mapping technology to get an intuitive map of waterlogging conditions, Through digital map technology, intuitive waterlogging map can be obtained, and the water level of each point can be networked to serve waterlogging prevention and control in smart cities in a more specific and accurate way.
Design and implementation of face recognition attendance management system
Authors: Zhang Luyun , Duan Qiaoling , Ma Hairong , Cen Kaiwei
Published: June 2022

In view of the inefficiency and cheating in time attendance, a face recognition attendance management system has been developed. The system is developed under Windows 10 using Java language and MySql database. After the user logs on to the system, click the punch-in button. The system calls camera through openCV to take pictures, and then matches this photo with the photo in the database. If the match is successful, the system can punch in successfully. The full day's work time is calculated by clocking in to record the employee's clock-in time each time. In order to improve the speed of face recognition, the face recognition algorithm in this system first uses the perceptual hash algorithm to filter the photos, and then calls the face comparison interface of the Rainbow Soft Face Recognition Engine for face recognition, thereby improving the speed of face recognition.
The relaxed asymmetric HSS-like iteration algorithms for a class of weakly nonlinear complementarity problems
Authors: Duan Banxiang
Published: June 2022

The problem of finding solutions to a class of weakly nonlinear complementarity problems is studied. And then, the authors present the relaxed asymmetric HSS-like iteration algorithm, the asymmetric HSS-like iteration algorithm and the HSS-like iteration algorithm for a class of weakly nonlinear complementarity problems. Under suitable conditions, they establish the convergence theory of the algorithms.
Enhanced algorithm of streamline color mapping based on double-layer grid control
Authors: Yong Heng , Li Yilin , Hu Xiaomei
Published: June 2022

2D Flow field streamline visualization, as a classic visualization method, expresses the structure and characteristics of the flow field with continuous streamlines. In this paper, a streamline color mapping enhancement algorithm based on double-layer grid control is proposed, which can better display the flow field and its field intensity distribution. The distance of the streamline is controlled by the double-layer grid, the seed point is scattered in the largest blank seeding area, and the visual streamline diagram of different effects can be obtained by setting the density control parameters, vector illustration with more even color distribution. The results show that the algorithm in this paper can obtain more continuous streamline distribution, and the streamline distribution obtained by regional equalization color mapping can reflect more field intensity distribution characteristics of the flow field.
An improved crow search algorithm with multi strategy disturbance
Authors: Huang Huadong , Liao Heng
Published: June 2022

As a new meta heuristic intelligent algorithm, crow search algorithm simulates the behavior of crows following each other and stealing food. Due to the simplicity and robustness of crow search algorithm, it has been successfully applied in many fields. However, like other swarm intelligence optimization algorithms, crow search algorithm also has the disadvantages of slow convergence speed and easy to fall into local optimization. In order to improve the convergence accuracy and later search ability of the algorithm, a new hybrid crow search algorithm called multi strategy disturbance improved crow search algorithm (MSD-CSA) is proposed based on the traditional crow search algorithm. In MSD-CSA, the sharing mechanism is added to improve the location update mode of random tracking in the original algorithm, reduce the search blindness and improve the convergence speed. In addition, the global optimal location is perturbed with different sizes in different iterative stages, which effectively improves the probability of jumping out of the local optimal and ensures the balance between the global search ability and the local search ability of the algorithm. In order to evaluate the effectiveness of MSD-CSA algorithm, it is applied to 20 basic test functions for optimization experiments, and compared with other intelligent optimization algorithms. Experimental results show that the average convergence and robustness of the proposed algorithm are better than other algorithms, and the overall performance is good.
Research on supply chain planning based on genetic algorithm and long short-term memory
Authors: Wang Xu , Li Yujie , Lu Qizong , Qiu Yuchen
Published: June 2022

With the integration of intelligent algorithm into the supply chain process, the fficiency of supply chain planning has been further improved through automatic prediction and decision-making. Although intelligent algorithms are developing, their challenges including real-time nature of supply chain planning and the complexity of scenarios hinder their true potential. In this study, we proposed an improved genetic algorithm (GA)-long short-term memory (LSTM) neural network prediction algorithm to solve various optimization planning problems for the supply chain from suppliers to production enterprises. Specifically, to determine stable suppliers, we first constructed the technique for order preference by similarity to ideal solution (TOPSIS) model to quantitatively evaluate each supplier, and the rationality of the index weight of the TOPSIS algorithm can be enhanced by the entropy method. Finally, the GA and LSTM were used to solve the decision-making and planning problem in raw material supply chain. Our results indicate that the algorithm we proposed can not only efficiently solve the decision planning problem in the raw material supply chain, but it also reasonably analyzes the suppliers quantitatively.
UAV trajectory tracking based on ADRC control algorithm
Authors: Bie Guanglei , Chen Xin
Published: June 2022

UAV flying in the air is affected by external airflow factors, and the system has the characteristics of underdrive, nonlinear and uncertainty, which makes the flight state of the UAV become complicated. The trajectory tracking of UAV is studied by using Active disturbance rejection control (ADRC) algorithm. ADRC control algorithms include tracking differentiator, extended state observer and error feedback control law. The active disturbance rejection and decoupling control of UAV track tracking is studied, The active disturbance rejection decoupling control introduces static decoupling matrix B to decouple the virtual control law U. The dynamically coupled disturbances are regarded as total disturbances, which are observed in real time by ESO of each main channel and compensated by control laws. Finally, the 2d trajectory tracking of UAV is realized.
Research on technical support ability and collaborative planning algorithm in online examination
Authors: Lu Zhijie
Published: June 2022

Starting from a typical online examination EBMG (Examination Behavior Model Graph), this paper obtains the relationship between the examination effectiveness index and the examinee scale through the probability data of the examiner’s examination response behavior, establishes the optimization model of the hardware structure by using the network maximum flow theory, and finds the relationship between the technical support ability and the examinee scale through the analysis of the model. Based on these two relationships, we find a collaborative planning algorithm, which transforms the relationship between the examinee scale and the technical support ability of the system under the same quality of service into the network flow diagram of online examination, and obtains the best cost-effective path of online examination system through the maximum flow algorithm.
Experimental study on gas diffusion in subway station
Authors: Wang Lei , Zhang Kun , Zhang Jinrui , Peng Meng , Kang Jian , Xu Jiayu
Published: June 2022

In this paper, three-dimensional ultrasonic anemometer and multi-channel anemometer have been used to monitor the flow field of a subway station in Beijing. Based on releasing sulfur hexafluoride (SF6) in the station hall, the gas transmission and diffusion range have been studied. The results show that under the natural ventilation, the gas diffusion would be controlled by a regular mainstream field. Because of obvious subsidence heavy gas tends to accumulate on the ground. The airflow on the north side of the platform is stable, which may be the main channel for gas diffusion and the gas will not be transmitted downward to the platform. As a result, during emergency response During emergency disposal, it is necessary to set an evacuation path opposite to gas diffusion. Besides, it is forbidden to turn on the top smoke exhaust system to avoid the transmission of pollutant on the ground to the breathing height.
Emotion recognition model based on CLSTM and channel attention mechanism
Authors: Chen Yuxia , Wang Dan , Wang Xiaoxi
Published: June 2022

In this paper, we propose an emotion recognition model based on convolutional neural network (CNN), long short term memory (LSTM) and channel attention mechanism, aiming at the low classification accuracy of machine learning methods and the uneven spatial distribution of electroencephalogram (EEG) electrodes. This model can effectively integrate the frequency, space and time information of EEG signals, and improve the accuracy of emotion recognition by adding channel attention mechanism after the last convolutional layer of the model. Firstly, construct a 4-dimensional structure representing EEG signals. Then, a CLSTM model structure combining CNN and LSTM is designed. CNN is used to extract frequency and spatial information from 4-dimensional input, and LSTM is used to extract time information. Finally, the channel attention module is added after the last convolutional layer of CLSTM model structure to allocate the weight of different electrodes. In this paper, an emotion recognition model based on CLSTM and channel attention mechanism was proposed from the perspective of integrating the frequency, space and time 3-dimensional information of EEG signals. The average classification accuracy of the model on SEED public data set reached 93.36%, which was significantly improved over the existing CNN and LSTM emotion recognition models.
NDT model study of crown pear based on near infrared spectroscopy
Authors: Li Honghong , Song Jinpeng , Zhang Yuhang , Zhang Hao , Han Lijuan , Zhang Kai , Suo Xuesong
Published: June 2022

With the growing area and production of pear, as well as the people for the fruit quality requirements are growing. The traditional methods for pear quality inspection are expensive and less accurate, and cannot be done for every pear. In response to the current production environment and market demand, a rapid and non-destructive method of pear quality testing is explored, using near infrared spectroscopy to establish the quality prediction model of crown pear. The main quality indicators for crown pears are soluble solids (SSC) and hardness, using NIR spectroscopy to establish a hardness prediction model and NIR spectroscopy to establish a soluble solids prediction model to build a spectral measurement system. The method was to measure pear spectral images in the NIR band (400nm to 1050nm). The spectra were pre-processed with multiple scattering correction (MSC) and standard normal variables exchange (SNV) to eliminate the influence of extraneous factors, and then downscaled by continuous projection algorithm (SPA) and principal component analysis (PCA) to extract the number of principal factors respectively. Partial Least Squares (PLS) was used to build the regression model and to predict the soluble solids (SSC) and hardness. The best model developed was a hardness prediction model by SNV + principal component analysis with a correlation coefficient of 0.64116 and a soluble solids prediction model by SNV + principal component analysis with a correlation coefficient of 0.73566.
A crowd sensing data collection framework based on edge computing
Authors: Liu Yanjing , Sun Xuemei , Yang Xiaorong , Zhao Yueyue
Published: June 2022

With the rapid increase in the use of mobile devices equipped with built-in sensors, mobile crowd sensing (MCS) as a human driven perception mode came into being. Since a large number of users submit data to the cloud servers in parallel, it will not only increase the pressure on the cloud servers, but also lead to the problem of data redundancy. In order to solve this problem, this paper introduces edge computing into mobile crowd sening for collecting perception data, and proposes a group intelligence perception network data collection model based on edge computing. The data is observed and sampled at the edge node through the compressed sensing algorithm, and the compressed data is transmitted to the cloud server.Using Cl_ BP algorithm restores the compressed data in cloud server .The results show that compared with the orthogonal matching pursuit algorithm (OMP), the data collection model based on edge cloud computing proposed in this paper can better solve the problem of data redundancy.
Integrated optimization of batch production process scheduling based on USEBCTM and explicit model predictive control
Authors: Li Lingwei , Wang Yue , Jin Yuting , Wang Guowen
Published: June 2022

An integration model of batch process production scheduling and control is established by using synchronous method, which generates mixed integer dynamic (MIDO) problem. In order to solve the online computing burden of MIDO problem, explicit model predictive control (E-MPC) is applied to solve the online implementation of scheduling and control integration problem. Using the method based on USEBCTM to establish the scheduling level constraints, and used the MPT toolbox in MATLAB to solve the E-MPC dynamic problem. The explicit control solution was converted into the control level constraint, then with scheduling level constrain optimization objective together.
Design and manufacture of high-voltage disconnector test equipment for Harmony series high-power electric locomotives
Authors: Liu Jun , Zhang Xingyu
Published: June 2022

With the continuous improvement of the maintenance technology system of harmonious high-power electric locomotives, the quality requirements for the maintenance of important parts are getting higher and higher. Based on the traditional manual detection of the performance of the high-voltage disconnector, it can no longer meet the current status of advanced maintenance. According to the relevant requirements of the maintenance of parts and components in the Harmony Electric Locomotive Maintenance Regulations of the State Railway Group Co., Ltd., a design scheme of the main function test equipment for the high-voltage disconnector had been given, the technical application and verification indicators in the design scheme discussed, and the test equipment manufactured. Combined with the actual production conditions, the developed test equipment can meet the relevant indicators required by the regulations, and has been put into use in production.
Controlling two chaotic lasers via OD-DCF
Authors: Yan Senlin
Published: June 2022

We present a novelty optoelectronic delay double-cross-feedback (OD-DCF) scheme to control two chaotic lasers based on coupled lasers. We design out the OD-DCF technical solution to convert two lights from two lasers into two photocurrents by two photo-detectors, and then the delay photocurrents are cross-fed back to each other’s lasers respectively to suppress two chaotic oscillations and guide two laser’s dynamics behaviours, respectively. By adjusting the feedback levels and delayed time of OD-DCF, two lasers can obtain chaos-control and show all kinds of dynamics behaviours. We find that chaotic oscillation behaviours of two lasers are suppressed into a stable state and different quasi-cycle states, such as a cycle-one, cycle-two, a cycle-three, a cycle-four, and other quasi-cycle states. We find also that two movement behaviours of two lasers can be controlled to lead to two different cycle-double states. The results prove that the control of two chaotic lasers can be effectively realized via OD-DCF. It is very helpful for our studies of control science, nonlinear optics, chaos, and laser.
Dual-frequency shift leads to chaos and beating in an erbium-doped fiber laser
Authors: Yan Senlin
Published: June 2022

We present a dual-frequency shift scheme to produce chaos and beating in an erbium-doped fiber laser while we give this laser physics model including a photo attenuator absorbing the photon, where the absorption frequency of the photo attenuator can be shifted, and a pump modulator shifting the modulation frequency. It can be found that the modulated laser produces chaos, beating, and a lot of quasi-periodic states when both pump level and photo absorption of the laser are modulated by the attenuator and the modulator. Our numerical result illustrates a route to chaos or away from chaos after beating or quasi-period by shifting the pump modulation frequencies and the absorption frequencies of the attenuator while a dual-cycle, a cycle-3, a cycle-4, quasi-cycle, beating and chaos occurs in the modulated laser. We discuss the effects of two frequencies of the attenuator and the modulator on dynamics. And we find the chaos distribution with frequency variations of the absorption. It can be found that two frequencies of the absorption and the modulation guide the dynamics of the modulated laser. The result has great referenced values to laser, optics, and chaos.
A hybrid artificial bee colony algorithm for transformer vibration fundamental frequency amplitude prediction
Authors: Wang Jianping , Li Wanlin
Published: June 2022

The fundamental frequency amplitude of transformer surface vibration signal is an important basis for judging transformer status. It is very important to predict the amplitude of fundamental frequency quickly and accurately. In this paper, a method is proposed to optimize the prediction of the transformer vibration fundamental frequency amplitude by modifying the artificial bee colony algorithm. An opposition-based learning mechanism is introduced and the search formula of each bee species is improved at the initial stage of the artificial bee colony algorithm. The performance of the proposed method is evaluated by five standard test functions and transformer vibration fundamental frequency amplitude prediction. Experimental results show that the proposed method is much better than the original artificial bee colony algorithm in search accuracy, convergence speed, and robustness, and improve the prediction accuracy.
Design and application of smart-microgrid in industrial park
Authors: Zhu Chuangao , Wang Ao , Yang Lutong , Li Jia
Published: June 2022

Due to the uncertain and randomness of both wind power photovoltaic output of power generation side and charging load of user side, a set of wind-solar-storage-charging multi-energy complementary smart microgrid system in the park is designed. Through AC-DC coupled, green energy, such as wind energy, distributed photovoltaic power and battery echelon utilization energy storage power, can be supplemented as factory power. While alleviating the power consumption pressure in the plant, it also realizes functions such as smoothing the fluctuation green energy power generation, and peak loading shifting. Vehicle DC super and fast charging are also integrated in this station. The system realizes real-time state monitoring of different energy sources, energy storage, power distribution, and loads, which can guarantee green, smooth, efficient and economic operation of the multi-energy complementary system in the plant.
A comprehensive evaluation method of electric power quality based on improved grey correlation analysis
Authors: Li Zun , Chen Huiying , Yang Yao , Chen Jiangtao , Fu Jianjun , Wang Jialin
Published: June 2022

Comprehensive evaluation of electric power quality is essential to the implementation of effective power quality control. In traditional evaluation methods, the weight of indicators is fixed and lacks flexibility. Aiming at this problem, this paper has proposed a power quality evaluation method based on improved grey correlation method. This method uses improved analytic hierarchy process (IAHP) to calculate subjective weights and introduces the improved entropy weight method (IEWM) that is modified using variable weight theory which calculates variable objective weights. The proposed method also uses intergrated weighting to combine the subjective and objective weights calculated above, obtaining multidimensional indicator weights. Finally, improved gray correlation analysis (IGCA), improved through employing ideal solution theory and logarithmic information aggregation method based on barrel theory, is implemented in this method to comprehensively evaluate electric power quality.
Engineering introduction on the drainage system of Saudi Aramco booster gas compressor station
Authors: Li Hui , Fan Lei , Liu Hongtao
Published: June 2022

Saudi Aramco engineering standard is famous for its strictness. The engineering of three kinds of drainage systems including surface water system, closed drain system and sanitary water system in the booster gas compressor station of Saudi Aramco project are introduced in this paper. The characteristics of all the facilities related to the drainage systems have also been described which can help to familiarize the engineering of Saudi Aramco booster gas compressor station.
Implementation and optimization suggestions for ISI items of CPR1000 steam generator
Authors: Li Tian , Zeng Qingyue , Pan Guosheng , Xue Donglin
Published: June 2022

The implementation logic of different ISI items of steam generator during the refueling outage of the nuclear power plant was studied. Based on the implementation relationship between the implementation window and the main line plan of the refueling outage, some optimization suggestions on the planning, preparation and implementation of relevant items were given, aimed at reducing the inspection time of SG ISI items and reducing the collective dose of the inspectors.