bluuebunny/crossref_metadata_2025 huggingface dataset:
Aspect based sentiment analysis using multi‐criteria decision‐making and deep learning under COVID‐19 pandemic in India
Authors: Dutta Rakesh , Das Nilanjana , Majumder Mukta , Jana Biswapati
Published: October 2022

The COVID‐19 pandemic has a significant impact on the global economy and health. While the pandemic continues to cause casualties in millions, many countries have gone under lockdown. During this period, people have to stay within walls and become more addicted towards social networks. They express their emotions and sympathy via these online platforms. Thus, popular social media (Twitter and Facebook) have become rich sources of information for Opinion Mining and Sentiment Analysis on COVID‐19‐related issues. We have used Aspect Based Sentiment Analysis to anticipate the polarity of public opinion underlying different aspects from Twitter during lockdown and stepwise unlock phases. The goal of this study is to find the feelings of Indians about the lockdown initiative taken by the Government of India to stop the spread of Coronavirus. India‐specific COVID‐19 tweets have been annotated, for analysing the sentiment of common public. To classify the Twitter data set a deep learning model has been proposed which has achieved accuracies of 82.35% for Lockdown and 83.33% for Unlock data set. The suggested method outperforms many of the contemporary approaches (long short‐term memory, Bi‐directional long short‐term memory, Gated Recurrent Unit etc.). This study highlights the public sentiment on lockdown and stepwise unlocks, imposed by the Indian Government on various aspects during the Corona outburst.
Sampled‐data synchronization of singular Markovian jump system: Application to DC motor model
Authors: Wang Linqi , Chen Guoliang , Yang Te , Xia Jianwei
Published: October 2022

Sampled‐data synchronization problem for singular Markovian jump systems (SMJSs) subject to aperiodic sampled‐data control is investigated. Firstly, via constructing mode‐dependent one‐sided loop‐based Lyapunov functional (LBLF) and two‐sided LBLF, two different stochastically admissible conditions are suggested for error SMJSs with aperiodic sampled‐data. It is guaranteed that the slave system is stochastically synchronized to the master system on the basis of the proposed stochastically admissible conditions. Secondly, two corresponding mode‐dependent aperiodic sampled‐data controller design approaches are provided for error SMJSs based on two different conditions, separately. Finally, the validity of these approaches is demonstrated by a direct current (DC) motor model. It also demonstrated that the two‐sided LBLF method possesses a larger upper bound of sampled‐data period than the one‐sided LBLF method.
Study of the enwrapping of the front profiles of the active elements of a three-screw compressor
Authors: Baroiu N. , Teodor V.G. , Paunoiu V. , Morosanu G.A. , Craciun R.S.
Published: October 2022

The paper proposes a method for identifying the front profile of a worm-type active element, consisting of a three-screw compressor. The purpose of this identification is to study the frontal enwrapping between the profiles of the driver and the driven element, in order to produce a possible replacement element. As is it well known, the two profiles are mutually enwrapping profiles, which means that the problem can be treated as a plane enwrapping problem. The identification of the profiles was performed by specific reverse engineering methods, the parts being scanned on an ATHOS 500 scanning system. Subsequently, the analytical shape of the driven screw was identified and, applying the “virtual pole” method, the corresponding shape of the driver screw profile was deduced. The obtained profile was compared with the real profile, obtained by 3D scanning. The obtained results demonstrated not only the good match between the theoretical and the real profile but also the simplicity and robustness of the method applied for the study of the enwrapping, namely the “virtual pole” method.
Influence of bond interface over the lap-shear performance of 3D printed multi-material samples
Authors: Ermolai Vasile , Sover Alexandru , Nagîţ Gheorghe
Published: October 2022

Multi-material 3D printing offers new possibilities regarding product development, allowing design freedom and multiple materials choices in terms of colour and polymer type. Material extrusion technologies are among the most popular options for multi-material printing due to their low equipment cost and various thermoplastic materials. However, polymers’ compatibility and bond interface must be considered for multi-material components. Material Extrusion creates the parts layer by layer, and each layer is characterised by multiple lines of extruded thermoplastic at a defined width. Therefore, regardless of the 3D model’s surfaces, they are composed of numerous lines of material and voids. Depending on the 3D Printing process setup, the bonding mechanism between materials can be influenced due to the different characteristics of horizontal and vertical contact interfaces. For this reason, this paper aims to study the influence of process parameters over horizontal interface through lap-shear tests for multimaterials samples made of acrylonitrile butadiene styrene (ABS), acrylonitrile styrene acrylate (ASA), and polycarbonate (PC). The results show that bond interface strength can be improved by creating ways for the mechanical interlock of the materials.
Analysis of the metal sheets formability at single point incremental forming process
Authors: Rusu Gabriela-Petruţa , Oleksik Valentin Ştefan , Breaz Radu Eugen , Dobrotă Dan , Popp Ilie Octavian
Published: October 2022

Although research on incremental forming process began a few decades ago, it is still a process in development phase. Single point incremental forming is a simple process and the deformation of the sheet blank is done with the help of a punch that follows a known toolpath.

In the case of this process, one important aspect is the prediction of material failure. To achieve this with the help of a finite element analysis, a series of experiments were performed to determine the forming limit diagram. In this paper, an attempt has been made to determine the forming limit diagram for the AA1050 aluminum alloy. The experiments were performed with the help of an industrial robot, KUKA KR 210-2, thus the part can be measured with an optical measuring instrument obtaining the major and minor strain from forming limit diagram.
The Effect of Problematic Smartphone Use on Physical Activity Level
and Musculoskeletal Pain
Authors: Unver Fatma , Buke Meryem
Published: October 2022

Objectives The aim of this study was to examine the effects of problematic
smartphone use on physical activity level and musculoskeletal pain.

Methods Two hundred eighty university students (185 female; 95 male; mean
age: 20.84±2.37 years) were included in the study. The International
Physical Activity Questionnaire was used to determine the level of physical
activity. Problematic smartphone use was determined using the Smartphone
Addiction Scale-Short Form (SAS-SF) and musculoskeletal pain using the Nordic
Musculoskeletal System Questionnaire.

Results When SAS-SF scores were examined, it was seen that 31.8%
(89 people) of the participants had problematic smartphone use. A moderate
negative correlation was found between problematic smartphone use and physical
activity level (p=0.0001; r=−0.419). Neck
(p=0.017) and back pain (p=0.040) severity was higher in people
with problematic smartphone use.

Conclusions The findings show that problematic smartphone use has negative
effects on both physical activity level and pain severity. For this reason,
problematic smartphone use should be questioned in university students with neck
and back pain.
A Practical and Economical Route to (S)-Glycidyl Pivalate
Authors: Cardoso Flavio S. P. , Snead David R. , Noble Jeffrey M. , Chang Le , Chen Dan , Wang Binglin , Dominey Raymond N. , Cook Daniel W. , Burns Justina M. , Stringham Rodger W.
Published: October 2022

An efficient method to prepare enantiopure (S)-glycidyl pivalate from (R)-epichlorohydrin and pivalic acid is reported. This work provides an alternative to the synthesis of this important building block from readily available and inexpensive materials.
Adrenocorticotropic Hormone-Induced Dyskinesia and Probable Sudden Unexpected Death in an Infant with Early Infantile Developmental and Epileptic Encephalopathy—Infantile Epileptic Spasm Syndrome Overlap
Authors: Das Suman , Roy Uma Sinha , Biswas Atanu , Chakraborty Uddalak
Published: October 2022

A 2.5-month-old infant with global developmental delay, initially had generalized tonic spasms followed by appearance of infantile spasms from 4.5 months of age. Thus, he had evolution from early infantile developmental and epileptic encephalopathy (EIDEE) to infantile epileptic spasm syndrome (IESS). Neuroimaging and screening of inborn errors of metabolism were normal, but sleep electroencephalogram showed suppression-burst pattern. Treatment with intramuscular injections of adrenocorticotropic hormone (ACTH) was associated with significant control of infantile spasms, but was followed by development of right hemichoreiform movements 2 days later. Upon continuing ACTH treatment, the dyskinesia generalized, prompting us to stop it and shift to vigabatrin which resulted in partial control of his spasms. Whole-exome sequencing revealed an autosomal dominant heterozygous variation of uncertain significance in the NPRL3 gene. At 6 months of age, he suffered of a probable sudden unexpected death, without any notable illness. The case is unique because both the phenomena—ACTH-induced dyskinesia and probable sudden unexpected death in infancy—are rarely described in the EIDEE-IESS continuum.
Sibling Screening in Pediatric Brucellosis
Authors: Özen Seval , Üçkardeş Fatih , Alev Curet , Uygun Hatice , Erdem Nurettin , Turgut Mehmet
Published: October 2022

Objective Routine screening of household members of index cases is a priority in regions where brucellosis is endemic. This study aimed to identify seropositive and seronegative pediatric patients by screening the siblings of our pediatric patients diagnosed with brucellosis (index cases) and to investigate the relationships among these groups by comparatively evaluating their demographic, epidemiological, clinical, and laboratory characteristics.

Methods Eighty-five pediatric household members of 59 pediatric patients diagnosed with acute brucellosis were evaluated. A total of 144 children were included in the study.

Results Among 85 pediatric household members, 34 (40%) children were seropositive and 51 (60%) were seronegative. The predominant clinical symptom was arthralgia (81.4%), and the main finding was abnormal liver function tests (LFTs). The most frequent osteoarticular involvement was monoarticular arthritis (88%). Index cases and seropositive patients showed significantly greater elevations in LFTs compared with seronegative patients (p < 0.001 and p < 0.001). C-reactive protein values of index cases and seropositive patients were significantly higher compared with seronegative patients (p < 0.001 and p = 0.001). Neutrophil and platelet counts of index cases were significantly lower than those of seronegative patients (p = 0.017 and p = 0.002). Index cases and seropositive patients were given treatment, and after follow-up of at least 1 year, none of the seropositive patients relapsed, but relapse occurred in nine (15.3%) children from the index group. Two (3.9%) seronegative patients were diagnosed with acute brucellosis.

Conclusion Additional cases of brucellosis can be detected by screening household members of index cases in endemic areas. Elevations in LFTs when detected early in the asymptomatic period may provide a clue for brucellosis.
Normal and tangential contact models for mixed lubrication of mechanical interface
Authors: Gao Zhiqiang , Xi Yunpeng , Peng Lixia , Fu Weiping , Wang Wen , Hu Weipeng , Wei Xian
Published: October 2022

Lubricating oil is usually injected in the gap between mechanical interfaces to reduce the friction and wear and improve the normal bearing capacity of the interface. The state of the mixed lubrication is induced from the inadequate lubrication. However, in the investigation of this state, the irregular oil pits of rough surfaces are usually simplified to be the cylindrical or conical in traditional contact models, which is disagreed with the actual contact situations and makes errors in the contact analysis when it is used to reveal the contact performance of the mixed lubrication. To investigate the normal and tangential contact performances for the real mixed lubrication, the normal and tangential contact models reproducing the effects of both the surface roughness and the lubrication viscosity on the normal contact force as well as the tangential fraction force are proposed in this work. Based on the statistical theory, the total area of oil pits is presented to describe irregular oil pits of rough surfaces. Then, the contact performance between the solid and liquid parts involved in the mixed lubrication is analyzed referring to the elastic–plastic theory and the hydrodynamics theory. Finally, several key influencing factors (including the surface roughness, the film thickness, and the lubrication oil viscosity) on the normal and tangential contact performances of mechanical interface are revealed. The main contribution of this work is providing some guidance on the improvement of the normal and tangential contact performances of the mechanical interface by adjusting the normal pressure, the surface roughness, the relative movement speed, and the viscosity of the lubricating medium.
Global proteomic analysis of serum during early pregnancy in the pig using data-independent acquisition mass spectrometry with verification by parallel reaction monitoring
Authors: Xin Haiyun , Meng Fanming , Li Baohong , Wang Sutian , Hu Bin , Li Jianhao
Published: October 2022

Context The current pregnancy diagnosis is generally not ideal in accuracy and efficiency, and the physiological process of early pregnancy in pig remains unclarified. Aims This study aimed to evaluate protein expression profiles and identify typical proteins of early pregnancy for more understanding of physiological processes. Methods Data-independent acquisition-based (DIA) quantitative proteomic analysis was performed to compare the serum proteome profiles on days 0, 5, 12, 16, and 19 of gestation in Tibetan pig. Parallel reaction monitoring (PRM) was subsequently performed to verify relative expression level. Key results 396 proteins were detected, of which 113 differentially expressed proteins (DEPs) were identified. Functional annotation and pathway analysis indicated that the DEPs were mainly involved in catalytic activity, metabolic processes and the proteasome. Four candidate DEPs (talin 1, profilin, carbonic anhydrase, and HGF activator) showed consistent expression trends in both DIA and PRM approaches. Conclusions The DIA based proteomic methods indicate the involvement of numerous serum proteins in early pregnancy physiological function in pigs. The combination of DIA-PRM based global proteomic analysis may provide insights for function study and pregnancy diagnosis biomarkers. Implications The global proteomic analyses performed here have increased the knowledge of early pregnancy in Tibetan swine and provide potential methods for pregnancy detection.
Coastal dolphins and marine megafauna in Exmouth Gulf, Western Australia: informing conservation management actions in an area under increasing human pressure
Authors: Sprogis Kate R. , Parra Guido J.
Published: October 2022

Context Exmouth Gulf is adjacent to the Ningaloo Marine Park, a UNESCO-listed area in Western Australia. The gulf remains largely unprotected, and is under increasing anthropogenic pressure from proposed industrial activities that pose threats to marine megafauna inhabiting the gulf. Threatened and near threatened species, such as the Australian humpback dolphin (Sousa sahulensis) and Indo-Pacific bottlenose dolphin (Tursiops aduncus), reside in the gulf; however, detailed information on their ecology and behaviour is lacking. Aims The aim was to (1) provide baseline data on the distribution, encounter rate, group size and behaviour of coastal dolphins over an area where current industrial developments are proposed, and (2) report on the occurrence of other marine megafauna within this area. Methods Boat-based photo-identification surveys were conducted on the western coastline of Exmouth Gulf along pre-determined line transects (150 km2) over austral autumn/winter 2021. Key results Across 809.35 km of surveyed waters (181 h), a total of 93 bottlenose dolphin, 15 humpback dolphin, and six interspecific dolphin groups were sighted. Bottlenose dolphin groups were encountered at a rate of 0.077/km, humpback dolphin groups at 0.015/km and interspecific dolphin groups at 0.005/km. Dolphins were predominantly recorded in shallow (mean 10 m) and warm (mean 21°C) waters, and were commonly travelling and foraging. In total, 199 individual bottlenose dolphins and 48 humpback dolphins were photo-identified (excluding calves). There were 30 bottlenose dolphin calves (including three newborns) and four humpback dolphin calves (including two newborns) identified. Other marine megafauna group sightings included humpback whales (Megaptera novaeangliae; n = 32), southern right whales (Eubalaena australis, n = 1), dugongs (Dugong dugon, n = 25), turtles (n = 54), sea snakes (n = 27), manta rays (Mobula alfredi, n = 13) and sharks (n = 2). Conclusions The presence of threatened marine species feeding, socialising, and resting highlights the importance of these waters for the identified species. Implications The information provided is applicable for the spatial management and conservation efforts of these species, and aids in informing environmental impact assessments of individual and cumulative pressures.
Thermodynamics of black holes in the quintessential phase space*
Authors: Li Guan-Ru , Guo Sen , Li Guo-Ping
Published: October 2022

Considering that the negative pressure of the accelerated expansion of the universe results from the cosmological constant or the dark energy quintessence, we use the dark energy quintessence to construct the "quintessential" phase space. In contrast to the previous discussion in which the cosmological constant is considered as the black hole (BH) phase transition pressure, in this analysis, we believe that the pressure results from quintessence. The characteristics of critical behavior, Gibbs free energy, and temperature behavior in quintessential phase space are investigated. We observe that the phase transition belongs to van der Waals phase transition within

. If

is within (–2/3, –1/3), the phase transition loses the large BH phase transition characteristics, which is caused by the later stage of the phase transition being completely dominated by quintessence dark energy with negative pressure. These results suggest that the quintessential phase space can be constructed with the pressure from the thermal quintessence, and it can be used as a new probe to explore the thermodynamics of BHs.
Investigation of the Langdon effect on the nonlinear evolution of SRS from the early-stage inflation to the late-stage development of secondary instabilities
Authors: Qiu Jie , Hao Liang , Cao Lihua , Zou Shiyang
Published: October 2022

In a laser-irradiated plasma, the Langdon effect can result in a super-Gaussian electron energy distribution function (EEDF), imposing significant influences on stimulated backward Raman scattering (SRS). In this work, the influence of a super-Gaussian EEDF on the nonlinear evolution of SRS is investigated by the three wave coupling model simulation and Vlasov–Maxwell simulation for plasma parameters covering a wide range of kλ
De from 0.19 to 0.48 at both high and low intensity laser drives. In the early stage of SRS evolution, it is found that besides the kinetic effects due to electron trapping (2018 Phys. Plasmas
25 100702), the Langdon effect can also significantly widen the parameter range for the absolute growth of SRS, and the time for the absolute SRS to reach saturation is greatly shortened by the Langdon effect within certain parameter regions. In the late stage of SRS, when secondary instabilities such as decay of the electron plasma wave to beam acoustic modes, rescattering, and Langmuir decay instability become important, the Langdon effect can influence the reflectivity of SRS by affecting secondary instabilities. The comprehension of the Langdon effect on nonlinear evolution and saturation of SRS would contribute to a better understanding and prediction of SRS in inertial confinement fusion.
The influence of full drifts on density shoulder formation at the midplane by numerical modeling
Authors: Zhao Xuele , Sang Chaofeng , Senichenkov Ilya Yu. , Wang Yilin , Zhang Yanjie , Zhang Chen , Rozhansky Vladimir , Wang Dezhen
Published: October 2022

The density shoulder at the midplane may influence core plasma confinement during H-mode discharge, thus affecting long-pulse steady-state discharge. Drifts in the edge plasma play a remarkable role in plasma transport and the divertor operation regime, which determine density shoulder formation (DSF). In this work, the SOLPS-ITER code package is used to evaluate the influence of full drifts on DSF in poloidal and radial coordinates. An open divertor of DIII-D-like geometry with weak neutral compression is chosen for the modeling. Cases without drifts, with only E × B drifts in forward B
t and with full drifts in both forward and reversed B
t are simulated for comparison. It is confirmed that the high upstream density promotes DSF when the drift is not considered, which has also been observed in various investigations. When the drifts are taken into account, the divertor in/out asymmetry (or upstream ionization source) is determined by the direction of B
t due to the variation of particle transport, thus the shoulder can be facilitated or suppressed. Two mechanisms of DSF with full drifts are elucidated: (1) E × B and B × ∇B drifts promote DSF at the inner midplane (IMP) by raising the ionization source (at IMP) in forward B
t; (2) the drifts contribute to DSF at the outer midplane by enhancing the particle transport loss in reversed B
t. In a high-recycling regime, ionization is the dominant term for DSF, while in the low-recycling regime enhanced particle transport loss plays a more important role. Comprehensively understanding the mechanisms of DSF is of great importance for the improvement of core–edge compatibility in fusion reactors.
An amphiphilic polymer as shale inhibitor in water-based drilling fluid
Authors: Wang Zonglun , Sun Jinsheng , Zhang Xianfa , Liu Jingping , Lv Kaihe
Published: October 2022

Shale hydration inhibitor in water-based drilling fluids (WBDFs) is the key to solve the problem of shale wellbore instability during drilling. In this study, a new amphoteric polymer was studied as a shale inhibitor. The amphiphilic copolymer ADL was synthesized by using acrylamide (AM), diallyl dimethyl ammonium chloride (DMDAAC) and dodecyl acrylate (LA) as monomers, benzoyl peroxide as initiator and hexadecyl trimethyl ammonium bromide (CTAB) as an emulsifier in aqueous solution. Infrared spectra indicated that the target product was synthesized successfully. TGA showed that the copolymers had good temperature resistance and the decomposition temperature was 240°C. The performance of ADL was evaluated by linear expansion experiment, rolling recovery rate experiment. The inhibition mechanism of the ADL was analyzed by particle size distribution experiment, zeta potential experiment and contact angle experiment. The experimental results show that ADL can adsorb on the surface of shale to change its wettability and increase the repulsive force between shale particles, thus inhibiting the hydration of shale. Because of its excellent shale inhibition performance, ADL has a potential application prospect as a shale inhibitor in WBDF.
Characterization of the electric transport properties of black phosphorous back-gated field-effect transistors
Authors: Giubileo Filippo , Pelella Aniello , Grillo Alessandro , Faella Enver , Sleziona Stephan , Kharsah Osamah , Schleberger Marika , Bartolomeo Antonio Di
Published: October 2022

We use thin layers of exfoliated black phosphorus to realize back-gated field-effect transistors in which the Si/SiO2 substrate is exploited as gate electrode. To prevent the detrimental effect of the air exposure the devices are protected by Poly(methyl methacrylate). We report the observation of an improved contact resistance at the interface between the layered material and the metal contact by electrical conditioning. We also demonstrate the existence of a hysteresis in the transfer characteristics that improves by increasing the gate voltage sweep range. Finally, we prove the suitability of such transistors as memory devices.
Recycling of the polymer composite fillers in amino alcohol medium
Authors: Protsenko A E , Petrov V V
Published: October 2022

The paper presents data from an experimental study of the possibility of recycling polymer composites on the example of fiberglass and different thermoset binders. The goal is to remove the polymer matrix and obtain recovered fiberglass that is not inferior in properties to the virgin material. In this paper, considered the solvolysis method of the composite in the amino alcohols. As the medium used methyldiethanolamine and 3-aminopropanol-1. The dependence of the influence of the solvolysis time and the concentration of alkali metal hydroxide in the reaction medium on the strength of recovered glass fibers has been established. The solvolysis at a temperature of 180 °C and a catalyst concentration of 5 % for 6 hours was accepted as optimal regime. As a result of the research, a regime was obtained that allows recovering fibers with a tensile strength of 92 % of virgin fibers. The recovered fabrics were studied by thermal analysis and scanning electron microscopy. GFRP samples were obtained from the recovered fabrics by the VaRTM method. The flexural strength of composites made from secondary filler is 8.5% lower than the same material based on virgin fabric. Products of the polymer matrix degradation and fibrous fillers are released during recycling. These products could be used in chemical technology to produce, for example, binders components and secondary fillers for polymer composites.
Security Authentication Framework Design for Electric Internet of Things
Authors: Song Weiqiong , Guo Shuai , Li Jiwei , Liu Heng , Wu Zaijun , He Xiaorong , Hou Yunyang
Published: October 2022

The intelligent terminal equipment of the electric internet of things (IoT) is vulnerable to network attacks when installing APPs from the application store. Encryption of the communication process can enhance security protection, but the key needs to be stored in the local equipment. When the equipment is attacked, the key is leaked easily resulting in communication security problems. To solve the above problems, we proposes a terminal APP security authentication mechanism based on TrustZone approach and OP-TEE (Open Source Trust Execution Environment) system to identify the identity information of both sides of the communication. The digital certificate of the application store is checked before the terminal equipment installs the APP. After the check is passed, the session key is generated in the Trusted Execution Environment (TEE), and the communication parties use the session key to encrypt the subsequent process. Simulation results validate that the proposed security authentication mechanism can effectively protect the communication process of terminal equipment installation APP and meet the performance requirements.
Three-stage Coordinated Dispatching of Wind Power-Photovoltaic-CSP-Thermal Power Combined Generation System
Authors: Wang Zonglin , Wang Shengli , Zhang Xin , Guo Yan , Wang Ze
Published: October 2022

Aiming at the problem that the grid connection of intermittent renewable energy such as wind power and photovoltaics brings great uncertainty to the power system, a three-stage coordinated scheduling strategy of wind power-photovoltaic-concentrated solar energy is proposed. CSP Combined heat and power system. In the first stage, based on the day-ahead forecast data of wind power, photovoltaics and load, a “peak shaving” model of the combination of wind power-photovoltaic-CSP was established. In the second stage, according to the value of the remaining load after optimization in the first stage, a day-ahead economic dispatch model for thermal power units is established. In the third stage, based on the start-stop status and output of thermal power units in the first and second stages, the output of CSP plants and the intraday forecast data of wind power, photovoltaics, and loads, the establishment of an intraday thermal power joint regulation model and the establishment unit and CSP stations are established, and intraday scheduling plans are arranged. Case analysis shows that the proposed CHP system scheduling strategy can be supplemented by thermal power and CSP during load peak and trough periods, thereby minimizing the uncertainty brought by grid integration of wind power and photovoltaics. Introduce.
Characterization of Dust on the Surface of Photovoltaic Panels in Low Latitude and High Altitude Plateau Areas
Authors: Xiong Changquan , Zhang Yuning , Yuan Qiang
Published: October 2022

Fossil energy consumption and climate crisis have witnessed an allure towards harnessing solar energy. Nevertheless, dust weather leads to the inevitable power output deterioration of the photovoltaic (PV) station. Dust-PV connection studies have been widely concerned in the semi-arid and desert regions at low latitudes and altitudes. However, dust’s properties on PV panels in low latitude and high altitude plateau areas in Sichuan province of China remain relatively in the dark. Here, the chemical and physical characteristics of dust particles on PV installations were analyzed in Ganzi, Si Chuan province. Particle characterization results, PV arrays parameters and local geographical features were imposed in computer simulation to reach reality. The results showed that SiO2 and CaCO3 were the primary phases, but the dust also was made up of Rb, Y, and Sr trace elements infrequently observed in other desert regions. The microcosmic appearance of dust displayed that nano- and micro-particles with pores were disorderly distributed. Computational Fluid Dynamics (CFD) and Discrete Element Modeling (DEM) (CFD-DEM) coupling simulation results illustrated that dust accumulation was increased from the back to the front rows of PV panels. It was noted that virtual results were consistent with the actual scene on the distinct edge.
Design and Realization of a 6-Wheeled In-Pipe Robot
Authors: Cao Enni , Tan Haishu , Bian Yuhong , Guo Zhanshe , Zhou Fuqiang
Published: October 2022

An auto-adjust 6-wheeled in-pipe robot system is designed, which is suitable for pipelines with different diameters. It is composed of the support structure, driving structure, and diameter-change structure. It adopts a 120° evenly distributed 6-wheeled support structure, which is connected with the diameter-change structure and presses the wheels against the pipeline. With these structures, the robot can work in the pipeline with a diameter of 100mm ~ 200mm. The robot is designed to work in different pipelines to detect the inner surface, and image sensors can be fixed to the ends of the robot to carry out the task.
Deep Unfolded Projected Alternating Minimization Algorithm for Blind Image Super-resolution
Authors: Liao Huaizhang , Yang Zhixiong , Zhang Han , Yi Tuoyuan , Xia Jingyuan
Published: October 2022

Blind super-resolution (BSR) has a wide range of applications in fruitful fields, such as pattern recognition, image processing, and signal processing. This problem focuses on recovering the original high-resolution (HR) details and blur kernel from a low-resolution (LR) blurry image. In these years, learning-based BSRs have evolved to become increasingly powerful through more extensive labelled data, better-designed end-to-end model and stronger training algorithm. However, the classic model-based methods typically provide good interpretability for applying prior information and generalizability of dealing with variational factors (blur kernels) with respect to their explicit alternative optimization framework, while the learning-based methods generally highly rely on the training data and are typically perform less effective on the unseen kernels. In this paper, a learning-aided model-based algorithm is proposed to solve the aforementioned issues by unfolding a well-designed model-based BSR approach, the projected alternating minimization (PAM) algorithm, that establishes an explicit alternative optimization iterations with data-driven network-based update module. As a result, the proposed unfolding PAM (UPAM) inherits the good interpretability and generalizability of model-based methods towards solving arbitrary blur kernels, while retaining the high performance of learning-based methods. Extensive experiments verify that the proposed UPAM outperforms both of the model-based and learning-based BSR methods, and gains significantly better performance when dealing with the blur kernels.
Application of Plant Phenotype Extraction Using Virtual Data with Deep Learning
Authors: Chen Guifen , Huang Shuai , Cao Liying , Chen Hang , Wang Xi , Lu Yinghua
Published: October 2022

Deep learning can enable image-based high-throughput phenotype analysis of plants. However, deep learning methods require large amounts of artificially annotated data. For application in plant phenotyping, the available data sets are usually small; it is expensive to generate new data and challenging to improve model accuracy with limited data. In this study, the L-system was used to generate virtual image data for training deep learning models. The precision (P), recall (R), and F-score (F) of the image segmentation model using a combination of virtual data and real data reached 0.95, 0.91, and 0.93, respectively; Mean Average Precision (mAP) and Intersection over Union (IoU) of the target detection model reached 0.96 and 0.92, respectively; the coefficient of determination (R2) and the standardized root mean square error evaluation of the leaf count model reached 0.94 and 0.93, respectively; all the results outperformed the results of training with only real data. Thus, we demonstrated that virtual data improves the effectiveness of the prediction accuracy of deep neural network models, and the findings of this study can provide technical support for high-throughput phenotype analysis.
Estimation of the Number of Signal Sources Based on Hard Thresholding
Authors: Liu Sheng , Sun MengYu , Wang QinMin
Published: October 2022

Aiming at the problem of large error in so far as low SNR and limited number of snapshots in the actual techniques for evaluation the amount of signal sources, a method for evaluation the amount of signal sources ground on the hard threshold method is proposed. The method works by comparing the eigenvalues of the received signal covariance matrix with a hard threshold. And use the distance betwixt the compared eigenvalues and the eigenvalues of the ideal ideal data as the criterion, and the amount of sources identified is ground on the minimum distance criterion. The simulation consequences display that the approach can effectively guess at the amount of sources under the situation of low SNR and small snapshot number, and the estimation is consistent with the increase of SNR and snapshot number.
Bond Energy Assists Accurate Molecule Property Prediction
Authors: Yang Xiaoting , Du Wenjie
Published: October 2022

Molecule property prediction is a fundamental problem in many fields. To accurate and rapid prediction of molecules properties, molecule characterization and representation are key operations in the pretreatment stage. Generally, we represent molecule as graph based on different features such as element type, bond type, etc. The features we select could have the ability of enough representation and discrimination. However, in terms of bond embedding, one-hot coding is the most common processing method in the current research which means the features we used are discrete and could not distinguish different single or double bonds in a molecule. Here we add predicted bond energy feature as an extra chemical bond descriptor and compare three popular GNN models on two different datasets. The experiment shows that supplying additional unusual bond features—bond energy will improve the model performance significantly. The PDN model with bond energy has best performance among three model. Finally, we discuss the experimental result.
Research on Internet of Energy Planning Based on “Grid-Information-Value”
Authors: Gu Yi , Zhang Yi , Hu Shiyao , Dai Hongcai , Liu Lin , Wang Xue , Chen Xingtong , Wang Yinan , Li Xinxin
Published: October 2022

Internet of Energy (IoE) is an advanced form of energy system development. From theoretical exploration to engineering practice, top-level design and scientific IoE system planning is critical for realizing IoE, and a crucial guarantee for the successful implementation of large-scale IoE projects. In this paper, we study the theoretical basis of IoE planning, analyze, and summarize the main planning methods of conventional energy systems and IoE development planning, and provide IoE planning approaches based on “grid-information-value.” Finally, we elaborate the planning direction, concepts, and key points at all levels of the energy grid, information support, and value creation.
Research and Implementation of Data Fusion in Obstacle Avoidance Control of Mobile Agent
Authors: Wang Qingqing , Zhu Meili
Published: October 2022

In complex scenes, the information captured by agents is diverse. How to quickly fuse and analyze data is very important. This paper designs the structural model of mobile agent obstacle avoidance control, and uses the adaptive weighted fusion algorithm to fuse the collected data, so as to lay the foundation for the subsequent mobile agent obstacle avoidance. Finally, the adaptive weighted fusion algorithm used in this paper is compared with the fixed weight weighted fusion algorithm. The simulation results show that the algorithm has better ranging effect and higher accuracy.
Determinants of the distribution of utility-scale photovoltaic power facilities across the globe
Authors: Bosmans Joyce , Schipper Aafke , Mielke Konrad , Čengić Mirza , Gernaat David , van Vuuren Detlef , Huijbregts Mark
Published: October 2022

Photovoltaic power (PV) is the fastest-growing source of renewable electricity. Making reliable scenarios of PV deployment requires information on what drives the spatial distribution of PV facilities. Here we empirically derive the determinants of the distribution of utility-scale PV facilities across six continents, using a mixed effects logistic regression modelling approach relating the occurrence of over 10 000 PV facilities to a set of potential determinants as well as accounting for country and spatially correlated random effects. Our regression models explain the distribution of PV facilities with high accuracy, with travel times to settlements and irradiation as the main determinants. In contrast, our results suggest that land cover types are not strong determinants of the PV distribution, except for Asia and Africa where the PV distribution is related to the presence of agriculture, short natural vegetation and bare land. For Europe and Asia a considerable part of the variance in PV distribution is explained by inter-country differences in factors not included in our fixed determinants. Relevant determinants identified in our study are in line with the main assumptions made in cost of electricity (COE) maps used in the IMAGE integrated assessment model (IAM). However, we found correlations (Spearman ρ) of −0.18–0.54 between our PV probability maps and IMAGE’s COE maps. These may partly be explained by conceptual differences between our empirically-derived probability maps and the COE maps, but we also recommend using higher-resolution maps of PV potential and COE computations such as used in IAMs.
Synthesizing the evidence of nitrous oxide mitigation practices in agroecosystems
Authors: Grados Diego , Butterbach-Bahl Klaus , Chen Ji , Jan van Groenigen Kees , Olesen Jørgen Eivind , Willem van Groenigen Jan , Abalos Diego
Published: October 2022

Nitrous oxide (N2O) emissions from agricultural soils are the main source of atmospheric N2O, a potent greenhouse gas and key ozone-depleting substance. Several agricultural practices with potential to mitigate N2O emissions have been tested worldwide. However, to guide policymaking for reducing N2O emissions from agricultural soils, it is necessary to better understand the overall performance and variability of mitigation practices and identify those requiring further investigation. We performed a systematic review and a second-order meta-analysis to assess the abatement efficiency of N2O mitigation practices from agricultural soils. We used 27 meta-analyses including 41 effect sizes based on 1119 primary studies. Technology-driven solutions (e.g. enhanced-efficiency fertilizers, drip irrigation, and biochar) and optimization of fertilizer rate have considerable mitigation potential. Agroecological mitigation practices (e.g. organic fertilizer and reduced tillage), while potentially contributing to soil quality and carbon storage, may enhance N2O emissions and only lead to reductions under certain pedoclimatic and farming conditions. Other mitigation practices (e.g. lime amendment or crop residue removal) led to marginal N2O decreases. Despite the variable mitigation potential, evidencing the context-dependency of N2O reductions and tradeoffs, several mitigation practices may maintain or increase crop production, representing relevant alternatives for policymaking to reduce greenhouse gas emissions and safeguard food security.
Creation of a device for detecting fluorescence from microfluidic chips for studying biosystems
Authors: Dobretsov R , Kosolapov V , Savchenko I , Switala F
Published: October 2022

The article substantiates the need to develop devices using real-time PCR reaction on microfluidic chips for the study of biological systems (objects) to determine environmental pollution and the consequences of these pollution. In situations of radioactive or chemical contamination, it is necessary to detect and eliminate them as soon as possible. For these purposes, PCR is ideally suited, which is currently the leading tool for chemical and biological research. However, most of the currently available PCR devices use tubes or microtiter plates and have some serious disadvantages. Disadvantages: uneven heating/cooling of volumetric systems, analysis speed does not meet the requirements of modern medicine, biology, environmental services, etc., namely, the requirement for rapid analysis. The solution to this problem is microfluidic chips since they are planar systems. Using microfluidic chips, it is possible to analyze more samples in less time. This article presents a layout of a fluorescence detection device using real-time PCR reaction on microfluidic chips. The results of experimental studies on the created layout and their analysis are presented.
Designing strong and tunable magnetoelectric coupling in 2D trilayer heterostructures
Authors: Jin Xin , O’Hara Andrew , Zhang Yu-Yang , Du Shixuan , Pantelides Sokrates T
Published: October 2022

The quest for electric-field control of nanoscale magnetic states such as skyrmions, which would impact the field of spintronics, has led to a challenging search for multiferroic materials or structures with strong magnetoelectric coupling and efficient electric-field control. Here we report a theoretical prediction that such phenomena can be realized in two-dimensional (2D) bilayer FE/PMM and trilayer FE/PMM/FE heterostructures (two-terminal and three-terminal devices), where FE is a 2D ferroelectric and PMM is a polar magnetic metal with strong spin–orbit coupling. Such a PMM has strong Dzyaloshinskii-Moriya interactions (DMI) that can generate skyrmions, while the FE can generate strong magnetoelectric coupling through polarization-polarization interactions. In trilayer heterostructures, contact to the metallic PMM layer enables multiple polarization configurations for electric-field control of skyrmions. We report density-functional-theory calculations for particular material choices that demonstrate the effectiveness of these arrangements, with the key driver being the polarization-polarization interactions between the PMM and FE layers. The present findings provide a method to achieve strong magnetoelectric coupling in the 2D limit and a new perspective for the design of related spintronics.
Nucleation and growth studies of large-area deposited WS2 on flexible substrates
Authors: Berning Thomas , Becher Malte , Wree Jan-Lucas , Jagosz Julia , Kostka Aleksander , Ostendorf Andreas , Devi Anjana , Bock Claudia
Published: October 2022

Transition metal dichalcogenides (TMDCs) such as tungsten disulfide (WS2) are studied for advanced electronic and optical devices because of their unique and versatile electrical, optical and mechanical properties. For the use of TMDC films in next-generation flexible electronics, large-area bottom-up synthesis on flexible substrates needs to be mastered, understood and controlled. In this study, we performed a detailed study on the nucleation and growth of WS2 layers deposited by metalorganic chemical vapor deposition (MOCVD) on crystalline van-der-Waals material muscovite mica as a model substrate and on the alkali-metal free flexible glass AF 32®
eco. The deposition of the WS2 layers was performed using an all nitrogen-coordinated bis-imido-bis-amido tungsten based precursor in combination with elemental sulfur as the co-reactant. On both substrates, crystalline growth of WS2 at a moderate growth temperature of 600 °C was verified by Raman spectroscopy and X-ray diffraction (XRD). However, the growth mode and nucleation density differ significantly. On mica, an initially planar growth of WS2 triangular islands is observed, whereas untreated glass reveals an out-off plane growth. Detailed XRD and Raman analysis show tensile strain in the WS2 films on both substrates, indicating a strong interaction from CVD grown TMDC films with the underlying carrier material. In order to avoid such substrate-semiconductor interaction, a substrate pre-treatment is required. A plasma pre-treatment prior to the deposition leads to a planar growth even on amorphous glass substrates.
The effect of different Ag addition on microstructure, mechanical properties and tribological behavior of CoCrFeNiMn-Cr3C2 composite
Authors: Guo Zhiming , Li Jingdan , Ren Xiaoyan , Zhang Aijun , Meng Junhu
Published: October 2022

CoCrFeNiMn high entropy alloy (HEA) matrix composites with Cr3C2 reinforcement (10 wt%) and different mass friction of Ag lubricant (10, 15 and 20 wt%) were produced by spark plasma sintering. The composites consist of HEA’s FCC phase, Cr7C3 phase and Ag phase, and the microstructures of composites are dense and uniform. The ultimate plasticity strain and fracture toughness improve with the addition of Ag increasing at room temperature. The composites exhibit excellent self-lubricating and wear resistance below 400 °C, and the composite with 20 wt% Ag content has the lower friction coefficient and wear rate. The Ag addition exhibits positive role in improving the wear behavior at medium-low temperatures. The main wear mechanisms of the composites are micro-cutting and abrasive wear at low temperatures. At high temperatures, the oxide tribo-layer generates on the wear surface and deeply torn. Oxide wear and surface deformation are the main wear mechanisms.