bluuebunny/crossref_metadata_2025 huggingface dataset:
An Improved Method for Photovoltaic Forecasting Model Training Based on Similarity
Authors: Liu Limei , Chen Jiafeng , Liu Xingbao , Yang Junfeng
Published: May 2023

Photovoltaic (PV) power generation is the most widely adopted renewable energy source. However, its inherent unpredictability poses considerable challenges to the management of power grids. To address the arduous and time-consuming training process of PV prediction models, which has been a major focus of prior research, an improved approach for PV prediction based on neighboring days is proposed in this study. This approach is specifically designed to handle the preprocessing of training datasets by leveraging the results of a similarity analysis of PV power generation. Experimental results demonstrate that this method can significantly reduce the training time of models without sacrificing prediction accuracy, and can be effectively applied in both ensemble and deep learning approaches.
Leakage Current Detector and Warning System Integrated with Electric Meter
Authors: Cheng Tsung-Hui , Chen Chien-Hao , Lin Chien-Hung , Sheu Bor-Horng , Lin Chia-Hung , Chen Wen-Ping
Published: May 2023

Electrical power is essential in human life. Thus, the security and reliability of its supply are of critical importance in a country’s industrial and economic development. The leakage and improper use of electricity may cause serious problems such as fire and electrocution. To prevent such incidents and minimize the loss of life and property, a leakage current detector and warning system are developed in this study. With a high-precision current transformer and high-gain linear converter, the detector effectively detects leakage current over 1 mA, which is validated in different methods. The detector can be integrated into widely used electric meters (Taipower Datong’s sub-meter model D4S) easily, and information on detected leakage current is transmitted to the cloud server through narrowband IoT wireless communication (NB-IoT) to warn users and management personnel of the electrical power line. The proposed detector and system are expected to prevent the fire caused by leakage current which was the main cause of the fire at homes and buildings and can be an effective means to manage the electrical powerline system and metering facilities.
Optimization and Design of Balanced BPF Based on Mixed Electric and Magnetic Couplings
Authors: Li Qiwei , Fang Jinyong , Cao Wen , Sun Jing , Ding Jun , Tie Weihao , Wei Feng , Zhai Chang , Wu Jiangniu
Published: May 2023

A balanced bandpass filter (BPF) with an improved frequency selectivity for differential-mode (DM) excitation and high rejection for common-mode (CM) excitation is proposed in this paper. Two half-wavelength stepped impedance resonators (SIRs) are employed based on mixed electric and magnetic couplings to realize a DM passband centered at 2.48 GHz. The center frequency and bandwidth can be easily controlled by optimizing the dimensions of SIRs and the coupling between them, respectively. Meanwhile, two transmission zeros (TZs) are generated based on the mixed electric and magnetic couplings and are independently controlled by tuning the coupling strength. Moreover, a wide DM stopband can be realized by optimizing the SIRs. The proposed balanced BPF is fed by balanced U-type microstrip–slotline transition structures, which can achieve high wideband CM rejection without influencing the DM responses, and the design complexity can be clearly reduced. Finally, a balanced BPF is fabricated, and a good agreement between the simulation and the measurement is observed, which verifies the design method.
Multi-Thread Real-Time Control Based on Event-Triggered Mechanism
Authors: Wang Yixuan , Gao Hui , Yang Yang , Xu Pan
Published: May 2023

In this paper, we consider the control problem for systems in which the number of controllers does not match that of plants. As the model of the control plants becomes increasingly complex and diversified, a large number of control systems often share one or a small number of control centers, and each subsystem cannot receive control signals at the same time. A multi-thread control algorithm based on an event-triggered mechanism is proposed to solve the control problem yielding input-to-state stability and achieve the ability to save communication and computing resources. The concept of multi-threading in the computer field is first used to describe such complex systems in control systems, and the two situations of the continuous updating of the controller and the maintaining of the current state are considered in the modeling. The event-triggered rule of the multi-thread control system is designed using the constraint relationship between the errors and the state functions. The feasibility of the proposed algorithm is ensured by its ability to avoid the Zeno phenomenon that may occur in the controller switching process. Finally, the proposed algorithm is investigated using simulations, showing that it has excellent flexibility, robustness, and practicability.
An Electronic Jamming Method Based on a Distributed Information Sharing Mechanism
Authors: Zhang Pan , Huang Yi , Jin Zhonghe
Published: May 2023

In an electronic jamming system, the ability to adequately perceive information determines the effectiveness of an electronic countermeasures strategy. This paper proposes a new method based on the combination of a multi-agent electronic jammer and an information sharing mechanism. With the development of intelligent technology and deep learning, these technologies have been applied in electronic countermeasure game systems. Introducing intelligent technology into the electronic confrontation system can greatly improve decision-making efficiency. At the same time, a multi-agent electronic countermeasure cooperative system based on the information sharing method can break through the limited information perception capabilities of a single agent, thereby greatly improving the survivability of jamming systems in electronic warfare. Experimental results show that our method requires a lower jamming-to-signal ratio than the single jammer method to achieve effective electronic jamming. In addition, the electronic jamming parameters can be updated automatically as the external electromagnetic environment changes quickly, realizing a more intelligent electronic jamming system.
Arbitrary-Oriented Object Detection in Aerial Images with Dynamic Deformable Convolution and Self-Normalizing Channel Attention
Authors: Zhang Yutong , Ma Chunjie , Zhuo Li , Li Jiafeng
Published: May 2023

Objects in aerial images often have arbitrary orientations and variable shapes and sizes. As a result, accurate and robust object detection in aerial images is a challenging problem. In this paper, an arbitrary-oriented object detection method for aerial images, based on Dynamic Deformable Convolution (DDC) and Self-normalizing Channel Attention Mechanism (SCAM), is proposed; this method uses ReResNet-50 as the backbone network to extract rotation-equivariant features. First, DDC is proposed as a replacement for the conventional convolution operation in the Convolutional Neural Network (CNN) in order to cope with various shapes, sizes and arbitrary orientations of the objects. Second, SCAM embedded into the high layer of ReResNet-50, which allows the network to enhance the important feature channels and suppress the irrelevant ones. Finally, Rotation Regions of Interest (RRoI) are generated based on a Region Proposal Network (RPN) and a RoI Transformer (RT), and the RoI-wise classification and bounding box regression are realized by Rotation-invariant RoI Align (RiRoI Align). The proposed method is comprehensively evaluated on three publicly available benchmark datasets. The mean Average Precision (mAP) can reach 80.91%, 92.73% and 94.1% on DOTA-v1.0, DOTA-v1.5 and HRSC2016 datasets, respectively. The experimental results show that, when compared with the state-of-the-arts methods, the proposed method can achieve superior detection accuracy.
Heavy Ion Induced Degradation Investigation on 4H-SiC JBS Diode with Different P+ Intervals
Authors: Wu Zhikang , Bai Yun , Yang Chengyue , Li Chengzhan , Hao Jilong , Tian Xiaoli , Wang Antao , Tang Yidan , Lu Jiang , Liu Xinyu
Published: May 2023

The heavy ion radiation response and degradation of SiC junction barrier Schottky (JBS) diodes with different P+ implantation intervals (S) are studied in detail. The experimental results show that the larger the S, the faster the reverse leakage current increases, and the more serious the degradation after the experiment. TCAD simulation shows that the electric field of sensitive points directly affects the degradation rate of devices with different structures. The large transient energy introduced by the heavy ion impact can induce a local temperature increase in the device resulting in lattice damage and the introduction of defects. The reverse leakage current of the degraded device is the same at low voltage as before the experiment, and is gradually dominated by space-charge-limited-conduction (SCLC) as the voltage rises, finally showing ballistic transport characteristics at high voltage.
Color and Texture Analysis of Textiles Using Image Acquisition and Spectral Analysis in Calibrated Sphere Imaging System-II
Authors: Rout Nibedita , Hu Jinlian , Baciu George , Pattanaik Priyabrata , Nakkeeran K. , Khandual Asimananda
Published: May 2023

The extended application of device-dependent systems’ vision is growing exponentially, but these systems face challenges in precisely imitating the human perception models established by the device-independent systems of the Commission internationale de l’éclairage (CIE). We previously discussed the theoretical treatment and experimental validation of developing a calibrated integrated sphere imaging system to imitate the visible spectroscopy environment. The RGB polynomial function was derived to obtain a meaningful interpretation of color features. In this study, we dyed three different types of textured materials in the same bath with a yellow reactive dye at incremental concentrations to see how their color difference profiles tested. Three typical cotton textures were dyed with three ultra-RGB remozol reactive dyes and their combinations. The color concentration ranges of 1%, 2%, 3%, and 4% were chosen for each dye, followed by their binary and ternary mixtures. The aim was to verify the fundamental spectral feature mapping in various imaging color spaces and spectral domains. The findings are quite interesting and help us to understand the ground truth behind working in two domains. In addition, the trends of color mixing, CIE color difference, CIExy (chromaticity) color gamut, and RGB gamut and their distinguishing features were verified. Human perception accuracy was also compared in both domains to clarify the influence of texture. These fundamental experiments and observations on human perception and calibrated imaging color space could clarify the expected precision in both domains.
Complement Recognition-Based Formal Concept Analysis for Automatic Extraction of Interpretable Concept Taxonomies from Text
Authors: Ferilli Stefano
Published: May 2023

The increasing scale and pace of the production of digital documents have generated a need for automatic tools to analyze documents and extract underlying concepts and knowledge in order to help humans manage information overload. Specifically, since most information comes in the form of text, natural language processing tools are needed that are able to analyze the sentences and transform them into an internal representation that can be handled by computers to perform inferences and reasoning. In turn, these tools often work based on linguistic resources for the various levels of analysis (morphological, lexical, syntactic and semantic). The resources are language (and sometimes even domain) specific and typically must be manually produced by human experts, increasing their cost and limiting their availability. Especially relevant are concept taxonomies, which allow us to properly interpret the textual content of documents. This paper presents an intelligent module to extract relevant domain knowledge from free text by means of Concept Hierarchy Extraction techniques. In particular, the underlying model is provided using Formal Concept Analysis, while a crucial role is played by an expert system for language analysis that can recognize different types of indirect objects (a component very rich in information) in English.
Cable Broken Wire Signal Recognition Based on Convolutional Neural Network
Authors: Zhu Wanxu , Liu Runzi , Jiang Peng , Huang Jiazhu
Published: May 2023

Due to the long-term exposure of bridge ties to complex environments, their internal steel wires are prone to corrosion damage, which may lead to tie breakage accidents if not detected in time. Although existing advanced monitoring methods can be used to obtain the broken wire signal, they either still need the damage to be identified manually or are limited by the training data set. To address this problem, a model combination consisting of a classification model and three regression models was built based on convolutional neural networks to predict the location of broken wires after first classifying them based on features. We developed software-containing data set generation and model performance testing functions, in which we used original algorithms to expand the broken wire data set for training based on the measured data obtained from FBG sensors with a sampling frequency of 100 Hz, thus generating more than 22,000 types of data. The performance test results showed that the model combination successfully detected 11,972 broken wires among 12,000 test data points generated by the algorithm, with a recognition success rate of 99.77% and an average time of 0.0076 s between the predicted location and the actual broken wire location, with an error rate of 0.38%. In the test of 118 real broken wires, the model detected all the abnormalities, and the average time between the predicted location and the actual broken wire location was 0.0695 s, with an error of 3.48%. This verified the feasibility of using artificial intelligence to accurately identify broken wire signals and can provide a reference for the subsequent intelligent identification of tie abnormalities.
Blockchain-Based Authentication Protocol Design from a Cloud Computing Perspective
Authors: Du Zhiqiang , Jiang Wenlong , Tian Chenguang , Rong Xiaofeng , She Yuchao
Published: May 2023

Cloud computing is a disruptive technology that has transformed the way people access and utilize computing resources. Due to the diversity of services and complexity of environments, there is widespread interest in how to securely and efficiently authenticate users under the same domain. However, many traditional authentication methods involve untrusted third parties or overly centralized central authorities, which can compromise the security of the system. Therefore, it is crucial to establish secure authentication channels within trusted domains. In this context, we propose a secure and efficient authentication protocol, HIDA (Hyperledger Fabric Identity Authentication), for the cloud computing environment. Specifically, by introducing federated chain technology to securely isolate entities in the trust domain, and combining it with zero-knowledge proof technology, users’ data are further secured. In addition, Subsequent Access Management allows users to prove their identity by revealing only brief credentials, greatly improving the efficiency of access. To ensure the security of the protocol, we performed a formal semantic analysis and proved that it can effectively protect against various attacks. At the same time, we conducted ten simulations to prove that the protocol is efficient and reliable in practical applications. The research results in this paper can provide new ideas and technical support for identity authentication in a cloud environment and provide a useful reference for realizing the authentication problem in cloud computing application scenarios.
On-Demand Garbage Collection Algorithm with Prioritized Victim Blocks for SSDs
Authors: Lee Hyeyun , Choi Wooseok , Hong Youpyo
Published: May 2023

Because of their numerous benefits, solid-state drives (SSDs) are increasingly being used in a wide range of applications, including data centers, cloud computing, and high-performance computing. The growing demand for SSDs has led to a continuous improvement in their technology and a reduction in their cost, making them a more accessible storage solution for a wide range of users. Garbage collection (GC) is a process that reclaims wasted storage space in NAND flash memories, which are used as the memory devices for SSDs. However, the GC process can cause performance degradation and lifetime reduction. This paper proposes an efficient garbage collection (GC) scheme that minimizes overhead by invoking GC operations only when necessary. Each GC operation is executed in a specific order based on the expected storage gain and the execution cost, ensuring that the storage space requirement is met while minimizing the frequency of GC invocation. This approach not only reduces the overhead due to GC, but also improves the overall performance of SSDs, including the latency and write amplification factor (WAF) which is an important indicator of the longevity of SSDs.
Optimum Design of Large-Diameter Reverse Circulation Drill Bit for Drilling Rescue Wells Using Orthogonal Experimental Method and CFD Simulation
Authors: Bo Kun , Ji Fangzhou , Zhao Zhiqiang , Fan Liming , Wang Maosen
Published: May 2023

Down-the-hole (DTH) hammer drilling with reverse circulation is a novel, mobile, high-speed drilling system suitable for the specific requirements of mine rescue. This technology can be applied to shorten the rescue time during mine accidents. The performance of reverse circulation (RC) drilling depends on the structural design of the drill bit. An orthogonal experimental design is executed to investigate the effect of the structural design parameters of the large-diameter drill bit for drilling rescue wells on the cutting carrying capacity and reverse circulation performance. This study employs computational fluid dynamics (CFD) software to solve the Navier–Stokes equation for three-dimensional steady flow and calculate the flow field around the drill bit to evaluate the RC efficiency. Six key geometric parameters were proven to have a direct influence on the RC performance, including the diameter of suction nozzles Dn, the length of nozzles L, the quantity of nozzles N, the diameter of the pilot hole Dg, the inclination angle of nozzles θs, and the deflection angle of nozzles θd. The CFD simulation experiments were implemented according to the orthogonal array L18(37) and were analyzed using the range, variance, and regression analysis. A mathematical model was developed for the RC efficiency to understand the effect of the factors. The results show that the diameter of suction nozzles Dn has an essential effect on the RC performance of the drill bit. An ideal combination is Dn = 20 mm, L = 50 mm, N = 3, Dg = 50 mm, and θs = 35°, θd = 10°, which was obtained through variance analysis and validated via CFD simulation for higher efficiency. To verify its real performance, a large-diameter RC drill bit with a diameter of 1.2 m was manufactured and tested in the field. The result demonstrated that the drill bit had excellent cutting transport and reverse circulation performance.
Toward a Fast but Reliable Energy Performance Evaluation Method for Existing Residential Building Stock
Authors: Converso Stefano , Civiero Paolo , Ciprigno Stefano , Veselinova Ivana , Riffat Saffa
Published: May 2023

Building a reliable energy model for old residential buildings with insufficient documentation and user assistance is a challenging and time-consuming task. Nevertheless, the ambitious European decarbonization targets require this building stock to be renovated, making energy assessment a key priority. In line with this goal, the following study explores a more simplified and automatic framework to generate a residential building energy model (BEM). The paper’s approach is based on the concept of urban building energy modelling (UBEM) archetypes or building prototypes and is customized according to the principles of dynamic simulations performed in the existing BEM software, Integrated Environmental Solutions Virtual Environment IES VE, and Solemma Open Studio. Therefore, based on three real starting inputs, a prototype database (DB) of assigned inputs is generated, i.e., an input matrix, using Google Maps as a geometry source. Other data are drawn from tabular DB. The proposed approach is evaluated by benchmarking the simulation results with precise models and monitoring the data that come from the Horizon2020 project REZBUILD. Nevertheless, a level of simplification is introduced that creates less accurate results for total or system-level energy consumption; this is compensated for using a set of simple calibration steps. The approach gives promising results for daily indoor temperature, making it a suitable indicator for evaluating further retrofitting alternatives.
Clean Energy Action Index Efficiency: An Analysis in Global Uncertainty Contexts
Authors: Dias Rui , Horta Nicole , Chambino Mariana
Published: May 2023

Climate change, the scarcity of fossil fuels, advances in clean energy, and volatility of crude oil prices have led to the recognition of clean energy as a viable alternative to dirty energy. This paper investigates the multifractal scaling behavior and efficiency of green finance markets, as well as traditional markets such as gold, crude oil, and natural gas between 1 January 2018, and 9 March 2023. To test the serial dependency (autocorrelation) and the efficient market hypothesis, in its weak form, we employed the Lo and Mackinlay test and the DFA method. The empirical findings showed that returns data series exhibit signs of (in)efficiency. Additionally, there is a negative autocorrelation among the crude oil market, the Clean Energy Fuels Index, the Global Clean Energy Index, the gold market, and the natural gas market. Arbitration strategies can be used to obtain abnormal returns, but caution should be exercised as prices may increase above their actual market value and reduce the profitability of trading. This work contributes to the body of knowledge on sustainable finance by teaching investors how to use predictive strategies on the future values of their investments.
Sand and Dust Storms’ Impact on the Efficiency of the Photovoltaic Modules Installed in Baghdad: A Review Study with an Empirical Investigation
Authors: Chaichan Miqdam T. , Kazem Hussein A. , Al-Waeli Ali H. A. , Sopian Kamaruzzaman , Fayad Mohammed A. , Alawee Wissam H. , Dhahad Hayder A. , Isahak Wan Nor Roslam Wan , Al-Amiery Ahmed A.
Published: May 2023

Airborne dust and dust storms are natural disasters that transport dust over long distances from the source basin, sometimes reaching hundreds of kilometers. Today, Iraq is a basin that produces dust storms that strike all neighboring countries such as Iran, Kuwait and Saudi Arabia. These storms affect the productivity and capacity of the photovoltaic modules and reduce the amount of electricity that is generated clearly. Airborne dust reduces the intensity of solar radiation by scattering and absorbing it. In addition, the dust accumulated on the photovoltaic modules causes a deterioration in their productivity. In this study, an extensive review of wind movement and its sources, especially those that hit the city of Baghdad, the capital of Iraq, was conducted. Practical experiments were also carried out during a storm to measure important variables that had not been measured practically before at this site. The experimental tests were carried out starting from 1 April 2022 and continued until 12 April. Within this period, a dust storm occurred that lasted for three consecutive days that was considered one of the most severe storms that the city of Baghdad had experienced in the last few years. Practical measurements showed a deterioration in the solar radiation intensity by up to 54.5% compared to previous days. The air temperature during the storm decreased by 21.09% compared to the days before the storm. From the measurements of ultrafine aerosol particles PM1 and PM2.5, there was a significant increase of 569.9% and 441% compared to the days before the storm, respectively. Additionally, the measurements showed an increase of 217.22% and 319.21% in PM10 and total suspended particles, respectively. Indoor performance experiments showed a deterioration of current, voltage, power and electrical efficiency by 32.28%, 14.45%, 38.52% and 65.58%, respectively, due to dust accumulated during the storm days compared to the previous days. In the outdoor experiments, the rates of deterioration of current, voltage, power and electrical efficiency were greater, reaching 60.24%, 30.7%, 62.3% and 82.93%, respectively, during the storm days compared to the days before it. During a storm, cleaning the panels is futile due to the high concentration of dust in the air, especially by water. However, the photovoltaic modules can be dry cleaned with bristle brushes after the storm has subsided.
An ECMS Based on Model Prediction Control for Series Hybrid Electric Mine Trucks
Authors: Liu Jichao , Liang Yanyan , Chen Zheng , Yang Hai
Published: May 2023

This paper presents an equivalent consumption minimization strategy (ECMS) based on model predictive control for series hybrid electric mine trucks (SHE-MTs), the objective of which is to minimize fuel consumption. Two critical works are presented to achieve the goal. Firstly, to gain the real-time speed trajectory on-line, a speed prediction model is established by utilizing a recurrent neural network (RNN). Specifically, a hybrid optimization algorithm based on the genetic algorithm (GA) and the particle swarm optimization algorithm (PSOA) is used to enhance the prediction precision of the speed prediction model. Then, on this basis, an ECMS based on MPC (ECMS-MPC) is proposed. In this process, to improve the real-time and working condition adaptability of the ECMS-MPC, the power-optimal fuel consumption mapping model of the range extender is established, and the equivalent factor (EF) is real-time adjusted by means of the PSOA. Finally, taking a cement mining road as the research object, the proposed strategy is simulated with the collected actual vehicle data. The experimental results indicate that the prediction precision of the proposed speed prediction model is over 98%, realizing on-line speed prediction effectively. Furthermore, compared to the existing real-time EMSs, its fuel-saving rate had an increase of more than 13%. This indicates that the designed ECMS-MPC is able to offer a novel and effective method for the on-line energy management of the SHE-MTs.
Afforestation of Land Abandoned by Farmers Poses Threat to Forest Sustainability Due to Heterobasidion spp.
Authors: Oszako Tomasz , Kukina Olga , Dyshko Valentyna , Moser Warren Keith , Ślusarski Sławomir , Okorski Adam , Borowik Piotr
Published: May 2023

Heterobasidion annosum (Fr.) Bref. sensu lato (s.l.) is a dangerous forest pathogen causing root and butt rot disease in most conifers of the northern hemisphere. This pathogen is most widespread in the forests of Europe and North America. The economic impact on forestry related to tree mortality, reduction in timber yield, and wood rot is calculated in millions of dollars and euros. The genus Heterobasidion (Basidiomycota; Russulales) has been relatively recently separated into three genetically distinct groups (H. annosum, H. insulare and H. araucariae) comprising a total of 12 species and one newly described hybrid taxon. These species are the best studied in terms of the ecology, the physiology of control methods, and the tree’s resistance to the pathogen. The article gives an overview of the symptoms and the etiology of the disease and provides information on ways to recognize the disease and limit the economic damage.
A Stable and Efficient Genetic Transformation Method for Embryogenic Callus of Fraxinus mandshurica
Authors: An Yan , Dong Hao , Zhao Wenna , Shen Hailong , Yang Ling , Li Shujuan
Published: May 2023

Fraxinus mandshurica is a widely used greening and ornamental tree species. However, its genetic transformation system has been hampered by problems such as low transformation efficiency, among others, which can hinder research related to molecular breeding and the analysis of functional genes. Thus, in this study, a novel genetic transformation method for efficient transformation of the embryonic callus of Fraxinus mandshurica was investigated. The method was optimized in terms of factors such as antibiotics, infection solution concentrations, co-culture time, and somatic embryo maturation. The results indicated that the optimal antibiotic concentration was 10 mg·L−1 of hygromycin (Hyg). At this point, the callus proliferation multiple was only 0.12. The highest transformation efficiency was found to be 93.93% when the absorbance of the infection solution concentration at OD600 was 0.4. Interestingly, transformation efficiency was found to be highest (77.9%) at 48 h of co-culture, with a GUS staining rate of 88.23%. The medium for somatic embryo maturation of transformed callus was half-strength MS medium (MS 1/2) containing 60 g·L−1 polyethylene glycol, 1 mg·L−1 abscisic acid, 400 mg·L−1 casein enzymatic hydrolysate (CH), 20 g·L−1 sucrose, 1 g·L−1 activated charcoal, and 5 g·L−1 gellan gum. The medium for somatic embryo germination was MS ½, containing 0.2 mg·L−1 of N-(Phenylmethyl)-9H-purin-6-amine(6-BA) and 5.0 mg·L−1 of gibberellin (GA). These results are of significance for the verification of the gene function and future genetic improvement of Fraxinus mandshurica.
Analysis of Trace Elements in Tree Rings of Pines Growing Nearby Steelwork in Southern Poland during the Industrial and Post-Industrial Periods
Authors: Sensuła Barbara , Fagel Nathalie
Published: May 2023

The current study explores for the first time the contrasts and similarities between the elemental (Na, Mg, Fe, Ni, Cu, Zn, and Pb) composition of pines that grow in a polluted industrialized area, located close to a steelworks, and that of pines growing in a comparative site, far from industry. Radial trace element profiles were determined by LA-ICPMS. The results are compared with the rainfall load at the monitoring station in Katowice, the nearest one to sampling sites, over the years 1999–2012, received from the Chief Inspectorate of Environmental Protection (GIOS). The results show that in annual tree rings, there is no direct linear correlation between rainfall load and concentration of the studied elements in wood of the annual rings. The element concentrations in trees may reflect the sum of different factors that impact the ecosystem, including pollution from large sources and local point sources, immission, load of the rainfall level, and also specific plant physiology processes.
Cryopreservation and Cryotolerance Mechanism in Zygotic Embryo and Embryogenic Callus of Oil Palm
Authors: Wei Qiuen , Shi Peng , Khan Faiza Shafique , Htwe Yin Min , Zhang Dapeng , Li Zhiying , Wei Xueke , Yu Qun , Zhou Kaibing , Wang Yong
Published: May 2023

Oil palm (Elaeis guineensis) is the highest oil-yielding commercially grown perennial tree. Oil palm germplasm conservation and in vitro clonal propagation strengthened the world’s efforts to ensure future food security. Cryopreservation provides long-term storage for germplasm. The storage of plant material at cryogenic temperatures (−196 °C) following dehydration causes cryoinjury. The cryotolerance mechanism has rarely been studied in oil palm zygotic embryos (ZE) and embryogenic calli (EC). A simple and effective cryopreservation method was established for ZE. ZE surrounded by endosperm was air-dried for 3 days without any complicated chemical pre-treatments before cryopreservation, while the viability rate and following germination rate could reach up to 96.67% and 90.88%, respectively. As for EC, the preferred method could be pre-culture in liquid MS medium with 0.3 M sucrose for 12 h and PVS2 treatment for 5 min prior to cryopreservation, and the viability rate reached 68.33%. SSR markers were used to verify the genetic stability after cryopreservation. In addition, changes in enzyme activities (CAT, POD, and SOD) showed a consistent trend with H2O2 production among ZE samples, indicating that these antioxidants were involved in ROS scavenging. Furthermore, differently expressed genes (DEGs) related to ROS, osmotic, and cold stress responses were selected for correlation network analysis. Most genes involved in ROS production (RBOH, PAO, and PRX) and ROS scavenging (APX, PER, SOD, CAT, GPX, and AOX) showed higher expression levels in EC, suggesting that EC was more sensitive to oxidative stress than ZE. The cryotolerance mechanism was further summarized accordingly. These results contributed to cryopreservation methods and provided a better understanding of cryotolerance in oil palm.
Mixed-Species Acacia Plantation Decreases Soil Organic Carbon and Total Nitrogen Concentrations but Favors Species Regeneration and Tree Growth over Monoculture: A Thirty-Three-Year Field Experiment in Southern China
Authors: Ouyang Shengnan , Tie Liehua , Rao Xingquan , Cai Xi’an , Liu Suping , Vitali Valentina , Wei Lanying , Yu Qingshui , Sun Dan , Lin Yongbiao , Bose Arun K. , Gessler Arthur , Shen Weijun
Published: May 2023

Mixed-species plantations of trees with N-fixing species have the potential of promoting forest productivity and soil fertility. However, few studies in the literature have addressed the advantages of mixed-species plantations of leguminous trees over monocultures of leguminous trees based on in situ inventories over a long time period. Here, we monitored the dynamics of tree community composition, vegetation biomass, soil nutrients, and soil microbial phospholipid fatty acids (PLFAs), in an Acacia mangium monoculture plantation during 33 years of development and compared it with a mixed-species plantation of A. mangium associated with 56 native species which were underplanted 14 years after the initial establishment. Leaf N and phosphorus (P) concentrations of three main species in the overstory and understory of the A. mangium monoculture were measured. Our results showed that the soil organic carbon (SOC), total nitrogen (TN), and available phosphorus (AP) concentrations significantly increased over time during the approximately thirty years of A. mangium monoculture plantation, while the disadvantages were associated with new species regeneration and the increment of vegetation biomass. In the A. mangium monoculture plantation, leaf N concentration of A. mangium,Rhodomyrtus tomentosa, and Dicranopteris dichotoma continuously increased from 21 to 31 years, while the leaf P concentration of A. mangium and R. tomentosa decreased. The mixed-species plantations of A. mangium with native tree species had lower SOC and soil TN concentrations, more new tree species recruitment in the understory, and faster vegetation biomass increment than the A. mangium monoculture. However, the PLFAs of soil microbial groups were slightly different between the two types of plantations. We conclude that improved soil N nutrient condition by A. mangium monoculture benefits N absorption by A. mangium, R. tomentosa, and D. tomentosa, while low soil AP limits P absorption by A. mangium and R. tomentosa. Meanwhile, transforming the A. mangium monoculture into a mixed-species plantation via the introduction of multiple native species into the A. mangium monoculture decreases SOC and TN concentrations but the advantages include improving forest regeneration and maintaining forest growth in a long-term sequence. These findings provide useful and practical suggestions for managing forest monocultures of A. mangium in subtropical regions.
Molecular Characterization and Expression Analysis of Four Janus Kinases (JAK1, JAK2a, JAK3 and TYK2) from Golden Pompano (Trachinotus ovatus)
Authors: Xie Yushuai , Chen Mingqu , Han Pengfu , Liang Xiang , Yang Meng , Lu Zhuanling , Wei Youchuan
Published: May 2023

Golden pompano, Trachinotus ovatus, is a perciform fish with great economic value and is widely cultured in the coastal areas of China. The wide occurrence of bacterial, parasitic and viral diseases has seriously threatened the sustainable development of the golden pompano culture industry. Janus kinases (JAKs) play important roles in most cytokine-mediated inflammatory responses, antiviral immune responses, autoimmune responses and disease pathologies. The present study aimed to obtain the full-length cDNA sequences of JAKs (JAK1, JAK2a, JAK3 and TYK2) from golden pompano and investigate their roles following stimulation with lipopolysaccharide (LPS), polyriboinosinic-polyribocytidylic acid (poly I:C) and Vibrio alginolyticus using RT-PCR, RACE-PCR and real-time qPCR methods. All four JAK proteins of golden pompano shared similar conserved domains, had high identities and clustered well with their teleost counterparts in phylogenetic analysis. Furthermore, these four genes were expressed in all examined tissues from healthy fish and induced in head kidney (HK), spleen, liver and gill post LPS, poly I:C and V. alginolyticus stimulation. Knowledge of the roles of JAKs in the immune response to different microbial pathogens provides a basis for further understanding of these functions.
Reduction of Membrane Lipid Metabolism in Postharvest Hami Melon Fruits by n-Butanol to Mitigate Chilling Injury and the Cloning of Phospholipase D-β Gene
Authors: Huang Shuai , Bi Ying , Li Hui , Liu Caihong , Wang Xue , Wang Xinyu , Lei Yaxin , Zhang Qi , Wang Jing
Published: May 2023

To investigate the effect of n-butanol on postharvest membrane lipid metabolism of Hami melon (Cucumis melo ‘Hami’), the fruits were soaked in a 1.0% solution of n-butanol for 30 min with water as the control. Symptoms of chilling injury were observed regularly, and the indices related to permeability and membrane lipid metabolism of pericarp cells were measured. The results showed that treatment with n-butanol inhibited the increase in chilling injury index, membrane permeability, and malondialdehyde content of Hami melon fruits, promoted an increase in the contents of phosphatidyl alcohol and unsaturated fatty acids, such as linoleic acid, linolenic acid, oleic acid (except 14 d), and erucic acid (28–42 d), and decreased the content of saturated fatty acids, stearic acid (0–28 d), phosphatidic acid (except for 21 d), and the key enzymes of membrane lipid metabolism compared with the control. The activities of phospholipase D (PLD) and lipoxygenase (LOX) and the downregulation of the levels of expression CmPLD-β and CmLOX (42 d only) genes reduced the chilling injury index of Hami melon and alleviated the further expansion of chilling injury symptoms in the fruits. We also cloned the key gene of membrane lipid metabolism CmPLD-β, which was obtained by pre-transcriptome screening of the pericarp. We found that CmPLD-β of Hami melon had the closest affinity with cucumber (CsXP5), indicating that the CmPLD-β gene of Hami melon was functionally similar to that of cucumber. In addition, a two-fold alignment analysis of CmPLD-β and CmXP5 base sequences indicated that the base sequences of the two promoter regions differed from each other.
Intracellular Antioxidant and Anti-Inflammatory Effects and Bioactive Profiles of Coffee Cascara and Black Tea Kombucha Beverages
Authors: Sales Amanda L. , Iriondo-DeHond Amaia , DePaula Juliana , Ribeiro Mafalda , Ferreira Isabel M. P. L. V. O. , Miguel Marco Antonio L. , del Castillo María Dolores , Farah Adriana
Published: May 2023

Kombucha is a functional beverage obtained through fermentation of sweetened Camellia sinensis infusion by a symbiotic culture of bacteria and yeasts that exerts many beneficial biological effects, mostly related to its antioxidant and anti-inflammatory effects. Alternative raw materials have been used to create new kombucha or kombucha-like products. Coffee is the most important food commodity worldwide and generates large amounts of by-products during harvest and post-harvest processing. The main coffee by-product is the dried fruit skin and pulp, popularly known as cascara. To date, no studies have evaluated the potential bioactivity of coffee cascara kombucha. In this study, we aimed to measure and compare the effects of infusions and kombuchas made with arabica coffee cascaras (n = 2) and black tea leaves (n = 1), fermented for 0, 3, 6, and 9 days on the intracellular production of Reactive Oxygen Species (ROS) and Nitric Oxide (NO) in model cells. Oxidative stress was induced in HK-2 cells with indoxyl sulfate (IS) and high glucose (G). Inflammation was induced with lipopolysaccharide (LPS) in RAW 264.7 macrophage. The contents of phenolic compounds, caffeine, and other physicochemical parameters were evaluated. To the best of our knowledge, this is the first study providing information on the bioactive profile and on the potential biological effects of coffee cascara kombucha. Fermentation caused the release of bound phenolic compounds from the infusions, especially total chlorogenic acids, with an average increase from 5.4 to 10.7 mg/100 mL (98%) and 2.6–3.4 mg/100 mL (30%) in coffee cascara and black tea kombucha, respectively, up to day 9. All evaluated beverages reduced (p < 0.0001) similarly the intracellular ROS (41% reduction, on average) and uric acid (10–55%) concentrations in HK-2 model cells, reversing the induced oxidative stress. All beverages also reduced (p < 0.0001, 81–90%) NO formation in LPS-induced macrophages, exhibiting an anti-inflammatory effect. These potential health benefits may be mostly attributed to polyphenols and caffeine, whose contents were comparable in all beverages. Coffee cascara showed similar potential to C. sinensis to produce healthy beverages and support sustainable coffee production.
Valorization of Second-Grade Date Fruit Byproducts and Nonstandard Sweet Potato Tubers to Produce Novel Biofortified Functional Jam
Authors: Almaghlouth Bayan J. , Alqahtani Nashi K. , Alnabbat Khadijah I. , Mohamed Hisham A. , Alnemr Tareq M. , Habib Hosam M.
Published: May 2023

Byproducts of second-grade dates and sweet potato tubers of noncommercial standard are produced along with the main product and are just as important as the main product but cannot be sold in the open market, as they may not be considered acceptable by consumers. Such byproducts can be valorized through the manufacture of a wide range of functional food products with high market appeal, such as jams. The research approach of this study included measuring antioxidant activity, total flavonoids, polyphenols, physicochemical and color indices, pH, and total sugar, as well as conducting a sensory evaluation, of mixed jams composed of different ratios of date jam (DFJ) to sweet potato jam (SPJ), namely, DP1 (80:20), DP2 (70:30), DP3 (60:40), and DP4 (50:50). To date, no other studies have considered producing mixed jam from dates and sweet potato byproducts. The sensory evaluation results indicated that jam DP4 (consisting of 50% date and 50% sweet potato) had the maximum overall acceptability. This investigation reveals the potential of using mixed byproducts in jams as natural functional ingredients, suggesting the economic value of valorization byproducts as low-cost ingredients to expand the properties, nutritional value, antioxidant content, and overall acceptability of jams. The discovered optimal mixed fruit jam has significant potential for further development as a commercial product.
Potential Challenges of the Extraction of Carotenoids and Fatty Acids from Pequi (Caryocar brasiliense) Oil
Authors: Carneiro Camila Rodrigues , Alhaji Adamu Muhammad , da Silva César Augusto Sodré , de Sousa Rita de Cássia Superbi , Monteiro Simone , Coimbra Jane Sélia dos Reis
Published: May 2023

Pequi is a natural source of bioactive compounds with wide versatility for fresh or processed fruit consumption, but it is still little explored economically. Functional foods are the subject of diverse scientific research since, in addition to being nourishing, they contain bioactive compounds capable of promoting several benefits to the human body. Pequi is a fruit species native to the Brazilian Cerrado, which is rich in oil and has components with a high nutritional value, such as unsaturated fatty acids (omega-3, omega-6, EPA, and DHA), antioxidants (carotenoids and phenolic compounds), and vitamins. Therefore, the present narrative review aims to compile and critically evaluate the methods used to extract oil from the pulp and almonds of pequi and describes the carotenoid separation from the oil because carotenoids are natural pigments of great interest in the pharmaceutical and food industries. It is emphasized that the main challenges linked to bioactive compound extraction are their susceptibility to degradation in the processing and storage stages of pequi and its derived products.
Catabolism of Dictyophora indusiata Polysaccharide and Its Impacts on Gut Microbial Composition during In Vitro Digestion and Microbial Fermentation
Authors: Zhao Yun-Xuan , Huang Ling , Wu Ding-Tao , Li Jie , Lei Jing , Fu Meng-Xi , Zhang Qing , Qin Wen
Published: May 2023

Dictyophora indusiata is one of the most famous edible mushrooms in China. D. indusiata polysaccharide (DP) has attracted increasing attention because of its multiple beneficial effects. In this study, the in vitro simulated digestion and microbial fermentation were designed to reveal the potential catabolic property of DP and its impacts on the modulation of gut microbial composition. The results showed that the reducing sugar content, total polysaccharides content, molecular weight, and rheological property of DP were not significantly altered under in vitro simulated digestive conditions. However, the molecular weight, apparent viscosity, and total polysaccharides content of indigestible DP (DPI) significantly decreased during in vitro fecal fermentation, and the reducing sugar content and the release of free monosaccharides notably increased, suggesting that DP could be degraded and used by gut microbiota. Additionally, the relative abundances of several beneficial bacteria, such as Bacteroides, Catenibacterium, Parabacteroides, and Megamonas, increased significantly, indicating that DP can regulate the composition and abundance of gut microbiota. Moreover, DP could also promote the production of SCFAs, thus changing the acid–base environment of the large intestine. The results of this study are beneficial for deeply clarifying the catabolic behavior of DP in the gastrointestinal tract, which can provide a theoretical basis for developing microbiota-directed products based on DP.
Different Characteristics of Annealed Rice Kernels and Flour and Their Effects on the Quality of Rice Noodles
Authors: Zhang Ziwen , Shang Mengshan , Chen Xiaoyu , Dai Lei , Ji Na , Qin Yang , Wang Yanfei , Xiong Liu , Sun Qingjie , Xie Fengwei
Published: May 2023

In this study, the characteristics of indica rice kernels (IRK) and flour (IRF) annealed in different conditions were evaluated, and the quality of rice noodles made with these IRK and IRF was determined. Native IRK and IRF were annealed in deionized water at a kernel or flour to water ratio of 1:3 (w/v) and temperatures of 50, 55, 60, and 65 °C for 12 and 24 h. Annealing increased the paste viscosity of IRK while decreasing that of IRF. Both annealed IRK and IRF exhibited increases in the gelatinization enthalpy change and relative crystallinity. Annealed IRK gel showed higher hardness, and annealed IRF gel displayed greater springiness. Unlike native rice noodles, annealed IRK noodles exhibited denser pores, while annealed IRF noodles exhibited a looser microstructure. With increasing annealing temperature and time, both annealed IRK and IRF noodles showed enhanced tensile properties. Rice noodles made from IRF annealed at 65 °C for 12 h exhibited a fracture strain of 2.7 times that of native rice noodles. In brief, IRK and IRF exhibited different degrees of susceptibility to annealing. Annealing had more significant effects on IRF than IRK. This study highlights the possibility of using annealed IRK and IRF in rice noodles.