bluuebunny/crossref_metadata_2025 huggingface dataset:
Low-Complexity Fast CU Classification Decision Method Based on LGBM Classifier
Authors: Wang Yanjun , Liu Yong , Zhao Jinchao , Zhang Qiuwen
Published: June 2023

At present, the latest video coding standard is Versatile Video Coding (VVC). Although the coding efficiency of VVC is significantly improved compared to the previous generation, standard High-Efficiency Video Coding (HEVC), it also leads to a sharp increase in coding complexity. VVC significantly improves HEVC by adopting the quadtree with nested multi-type tree (QTMT) partition structure, which has been proven to be very effective. This paper proposes a low-complexity fast coding unit (CU) partition decision method based on the light gradient boosting machine (LGBM) classifier. Representative features were extracted to train a classifier matching the framework. Secondly, a new fast CU decision framework was designed for the new features of VVC, which could predict in advance whether the CU was divided, whether it was divided by quadtree (QT), and whether it was divided horizontally or vertically. To solve the multi-classification problem, the technique of creating multiple binary classification problems was used. Subsequently, a multi-threshold decision-making scheme consisting of four threshold points was proposed, which achieved a good balance between time savings and coding efficiency. According to the experimental results, our method achieved a significant reduction in encoding time, ranging from 47.93% to 54.27%, but only improved the Bjøntegaard delta bit-rate (BDBR) by 1.07%~1.57%. Our method showed good performance in terms of both encoding time reduction and efficiency.
Fully Synthetic Videos and the Random-Background-Pasting Method for Flame Segmentation
Authors: Jia Yang , Mao Zixu , Zhang Xinmeng , Kuang Yaxi , Chen Yanping , Zhang Qixing
Published: June 2023

Video-based flame detection (VFD) aims to recognize fire events by using image features. Flame segmentation is an essential task in VFD, providing suspected regions for feature analysis and object recognition. However, the lack of positive flame samples makes it difficult to train deep-learning-based VFD models effectively. In this paper, we propose the assumption that we can train a segmentation model with virtual flame images and design experiments to prove it. We collected many virtual flame videos to extend existing flame datasets, which provide adequate flame samples for deep-learning-based VFD methods. We also apply a random-background-pasting method to distribute the flame images among different scenarios. The proposed method trains a flame segmentation model with zero real flame images. Moreover, we perform segmentation testing using real flame images, which the model has never used, to see if the model trained using ‘fake’ images can segment real objects. We trained four segmentation models based on FCN, U-Net, Deeplabv3, and Mask-RCNN using synthetic flame video frames and obtained the highest mPA of 0.783 and mIoU of 0.515. The experimental results on the FIRE-SMOKE-DATASET and the Fire-Detection-Image-Dataset demonstrate that the ‘fake’ flame samples generated by the proposed random-background-pasting method can obviously improve the performance of existing state-of-the-art flame segmentation methods using cross-dataset evaluation settings.
Learning and Fusing Multi-View Code Representations for Function Vulnerability Detection
Authors: Tian Zhenzhou , Tian Binhui , Lv Jiajun , Chen Lingwei
Published: June 2023

The explosive growth of vulnerabilities poses a significant threat to the security of software systems. While various deep-learning-based vulnerability detection methods have emerged, they primarily rely on semantic features extracted from a single code representation structure, which limits their ability to detect vulnerabilities hidden deep within the code. To address this limitation, we propose S2FVD, short for Sequence and Structure Fusion-based Vulnerability Detector, which fuses vulnerability-indicative features learned from the multiple views of the code for more accurate vulnerability detection. Specifically, S2FVD employs either well-matched or carefully extended neural network models to extract vulnerability-indicative semantic features from the token sequence, attributed control flow graph (ACFG) and abstract syntax tree (AST) representations of a function, respectively. These features capture different perspectives of the code, which are then fused to enable S2FVD to accurately detect vulnerabilities that are well-hidden within a function. The experiments conducted on two large vulnerability datasets demonstrated the superior performance of S2FVD against state-of-the-art approaches, with its accuracy and F1 scores reaching 98.07% and 98.14% respectively in detecting the presence of vulnerabilities, and 97.93% and 97.94%, respectively, in pinpointing specific vulnerability types. Furthermore, with regard to the real-world dataset D2A, S2FVD achieved average performance gains of 6.86% and 14.84% in terms of accuracy and F1 metrics, respectively, over the state-of-the-art baselines. This ablation study also confirms the superiority of fusing the semantics implied in multiple distinct code views to further enhance vulnerability detection performance.
Design and Control of Multicoil Active Magnetic Bearing System for High-Speed Application
Authors: Debnath Sukanta , Das Upama , Biswas Pabitra Kumar , Aljafari Belqasem , Thanikanti Sudhakar Babu
Published: June 2023

In the rotating machinery sector, active magnetic bearing (AMB) has drawn great attention due to its benefits over the conventional bearing system. The high-speed technology is enhanced by AMBs, which also reduce maintenance costs and eliminate friction loss. This paper presents a unique, simpler, efficient design and hardware implementation for high-speed applications using two-coil I-type active magnetic bearings. To maintain the 10 mm air gap between the actuator and the rotor, two categories of controllers have been designed for the proposed system to control the position and another for detecting the coil current through the power amplifier. The AMB system is incorporated into a 3D finite element model for determining magnetic properties. The magnetic analysis is then carried out under various situations, and the attractive force characteristics have been evaluated for this suggested system to check the performance of the multicoil AMB system along with the stability analysis. The system is designed and simulated in MATLAB Simulink and implemented in hardware to validate the different outputs viz. position response and current response. Finally, an AC magnet is designed to rotate the rotor after the levitation, and a higher speed of 19,643 rpm is achieved in comparison to conventional bearings, which can be utilized in different industrial applications.
Large-Scale Experimental Simulations of In Situ Coal Gasification in Terms of Process Efficiency and Physicochemical Properties of Process By-Products
Authors: Wiatowski Marian , Kapusta Krzysztof , Strugała-Wilczek Aleksandra , Stańczyk Krzysztof , Castro-Muñiz Alberto , Suárez-García Fabián , Paredes Juan Ignacio
Published: June 2023

This paper presents a series of surface experiments simulating underground coal gasification (UCG). The main goal of the experiments was to investigate the influence of the gasification medium and the coal rank on the gasification process. Four multi-day trials were carried out using a laboratory gasification facility designed for the large-scale experimental simulations of UCG and located in the Experimental Mine “Barbara”, located at Mikołów, Poland. Two Polish bituminous coals were investigated: coal sourced from “Piast-Ziemowit” mine and coal sourced from “Wesoła” mine. Each of the two coals was gasified in two separate experiments using oxygen-enriched air (OEA) and pure oxygen as the respective gasifying agents. Gasification with oxygen resulted in significantly higher gas quality and higher process efficiency than gasification with OEA. Higher concentrations of hydrogen (23.2% and 25.5%) and carbon monoxide (31.8% and 33.4%) were obtained when oxygen was used as a gasifying reagent, while lower concentrations were obtained in the case of gasification with OEA (7.1% and 9.5% of hydrogen; 6.4% and 19.7% of carbon monoxide). Average gas calorific values were 7.96 MJ/Nm3 and 9.14 MJ/Nm3 for the oxygen experiments, compared to 2.25 MJ/Nm3 and 3.44 MJ/Nm3 for the OEA experiments (“Piast-Ziemowit” coal and “Wesoła” coal, respectively). The higher coalification degree of “Wesoła” coal (82.01% of carbon) compared to the “Piast-Ziemowit” coal (68.62% of carbon) definitely improves the gas quality and energy efficiency of the process. The rate of water condensate production was higher for the oxygen gasification process (5.01 kg/h and 3.63 kg/h) compared to the OEA gasification process (4.18 kg/h and 2.63 kg/h, respectively), regardless of the type of gasified coal. Additionally, the textural characteristics (porosity development) of the chars remaining after coal gasification experiments were analyzed. A noticeable development of pores larger than 0.7 nm was only observed for the less coalified “Piast-Ziemowit” coal when analyzed under the more reactive atmosphere of oxygen.
Mathematical Modelling of Heat and Mass Transfer during Jackfruit Drying Considering Shrinkage
Authors: Tuly Sumaiya Sadika , Joardder Mohammad U. H. , Welsh Zachary G. , Karim Azharul
Published: June 2023

Shrinkage is an obvious phenomenon that occurs when drying plant-based food materials, and it has a crucial influence on heat–mass transfer mechanisms, energy consumption in drying, and dried product quality. The present study aims to develop a theoretical shrinkage model considering the drying kinetics and shrinkage velocity approach during the convective drying of jackfruit. Since there is no theoretical model in the literature that considers the transfer process along with shrinkage phenomena for jackfruit drying, this work focuses on presenting the drying and shrinkage kinetics behaviour through the development of a mathematical model. Two distinct models were developed, each considering the presence or absence of shrinkage phenomena. Model validation was carried out by comparing the predicted results with experimental data from drying tests conducted at 60 °C, and model accuracy was evaluated through statistical error analysis. In the shrinkage-induced model, the shrinkage exhibited a linear relationship with drying time, as the moisture content decreased from 5.25 to 0.47 kg/kg on a dry basis when the temperature increased to 54 °C. Notably, the shrinkage-induced model demonstrated superior performance, displaying low mean absolute error (MAE) values—0.27 kg/kg on a dry basis for moisture content, 2.07 °C for temperature variation, and 0.04 for shrinkage, when compared to the model without shrinkage. Furthermore, the mean relative error (MRE) values for the shrinkage-induced model were 45.71% and 33.33% lower than those of the model without shrinkage for average moisture content and temperature, respectively. The findings of this study provide valuable insights for the food drying industry, offering new knowledge about drying kinetics and shrinkage characteristics that can contribute to the development of energy-efficient drying systems.
An Overview of Smart Materials and Technologies for Concrete Construction in Cold Weather
Authors: Nilimaa Jonny , Zhaka Vasiola
Published: June 2023

Cold weather conditions pose significant challenges to the performance and durability of concrete materials, construction processes, and structures. This paper aims to provide a comprehensive overview of the material-related challenges in cold weather concrete construction, including slow setting, reduced curing rate, and slower strength development, as well as frost damage, early freezing, and freeze–thaw actions. Various innovative materials and technologies may be implemented to address these challenges, such as optimizing the concrete mix proportions, chemical admixtures, supplementary cementitious materials, and advanced construction techniques. The paper also examines the impact of weather-related challenges for personnel, equipment, and machinery in cold environments and highlights the importance of effective planning, communication, and management strategies. Results indicate that the successful implementation of appropriate strategies can mitigate the challenges, reduce construction time, and enhance the performance, durability, and sustainability of concrete structures in cold and freezing temperatures. The paper emphasizes the importance of staying updated about the latest advancements and best practices in the field. Future trends include the development of smart and functional concrete materials, advanced manufacturing and construction techniques, integrated design, and optimization of tools, all with a strong focus on sustainability and resilience.
Presence of Phthalate Esters Used as Common Plasticisers in Maltese Shoreline Sand
Authors: Muscat Marija , Sinagra Emmanuel , Lia Frederick
Published: June 2023

DBP and DEHP are two of the most common plasticisers used in modern industries, which have aroused a major concern over their ubiquitous occurrence and hazardous environmental effects. This study presents the first data of phthalates occurrence and distribution in Maltese shoreline sand. DBP and DEHP occurrence was investigated in three busy and secluded beaches, respectively. Analytical determination involved quantifying DBP and DEHP from 75 samples using UPLC–MS/MS through triple repeatability. The concentrations ranged between 0.0095 and 0.07034 µg/g and <LOQ and 0.0977 µg/g for DBP and DEHP, respectively. Statistical analysis of the comparison of phthalates in different beaches demonstrated that the occurrence of DBP and DEHP in Maltese shoreline sand varies. The differences in the occurrence of phthalates were attributed to the beach topography and anthropogenic pressures. Analysis of the effects of anthropogenic activities on the occurrence of phthalates showed a positive association. Distribution analysis showed that DBP and DEHP exhibit an uneven distribution along the shoreline. Conversely, different distributions were observed at distances away from the sea. The uneven distributions observed were associated with anthropogenic activities, different chemodynamic properties and wave action. Cluster analysis was performed to prove the interactions between the phthalates concentrations and the characteristics of the beaches.
European Beech Log Sawing Using the Small-Capacity Band Saw: A Case Study on Time Consumption, Productivity and Recovery Rate
Authors: Câmpu Răzvan V. , Derczeni Rudolf A.
Published: June 2023

In rural, isolated areas, sawmills are often equipped with one or more small-capacity hand-fed band saws. Even in this situation, the productivity of the band saw must be viewed through the factors that influence it, namely the characteristics of logs and the optimization of the stages and activities carried out. Therefore, time consumption, the structure of working time and the recovery rate in sawing logs into lumber provide important information for users. The structure of the sawing operation for a work team made up of an operator and an assistant was divided into six work stages. The sawing pattern used involves sawing the log up to approximately half of the diameter, then rolling the log with 180° and continuing the sawing, aiming to obtain lumber with a thickness of 40 and 50 mm from the central part of the log. The productivity was 2.45 m3·h−1, the recovery rate was 70.84% and the working time real-use coefficient was 0.37. Research has highlighted the positive correlation between working time and the middle diameter of the logs (R2 = 0.84). The feeding speed was also determined along with the quality of cuts, which was expressed by the thickness uniformity of the lumber and the presence of cutting teeth traces on the newly created surfaces.
Implementation of Economic Instruments in the EU Forest-Based Sector: Case Study in Austria and the Czech Republic
Authors: Huertas-Bernal Diana Carolina , Hájek Miroslav
Published: June 2023

Economic instruments are political tools created to promote environmental stewardship by influencing consumption and production patterns, fostering technological innovation, and improving the environment; however, if current failures in their formulation or implementation persist, they can negatively impact the environment and society. This research aims to analyze the strengths, weaknesses, opportunities, and threats (SWOT) of economic instruments by extracting these aspects from the forest policy documents of the EU, Austria, and the Czech Republic using the qualitative content analysis method. It has been found that the EU channels its resources from economic instruments through various financing programs that make distribution more effective and align with the environmental objectives of the EU. Additionally, the SWOT analysis indicates that the economic instruments applied in the EU present significant differences in the application and management of forests and the performance of the financial instruments according to the national strategies and action plans used. These identified challenges, limitations, and improvement areas allow for generating suggestions that policymakers can apply concerning the use, implementation, dissemination, and access processes of financing mechanisms for sustainable forest management in the European Union.
Production of Glyoxylate from Glucose in Engineered Escherichia coli
Authors: Long Bui Hoang Dang , Nishiyama Masahiro , Sato Rintaro , Tanaka Tomonari , Ohara Hitomi , Aso Yuji
Published: June 2023

Glyoxylates are essential intermediates in several metabolic pathways and have a broad range of industrial applications. In this study, we propose a novel method for producing glyoxylate from glucose using engineered Escherichia coli BW25113. To direct the production of glyoxylate from glucose, malate synthase A (aceB), malate synthase G (glcB), glyoxylate carboligase (gcl), and glyoxylate/hydroxypyruvate reductase A (ycdW) genes were disrupted, and the glyoxylate shunt was reinforced in the disruptants by the overexpression of citrate synthase (gltA) and isocitrate lyase (aceA). In flask cultivation using M9 medium supplemented with 1% glucose, the disruptant E. coli BW25113 ΔaceB ΔglcB Δgcl ΔycdW produced 0.93 ± 0.17 g/L of glyoxylate. Further overexpression of gltA and aceA in the disruptant resulted in an improvement in glyoxylate production to 1.15 ± 0.02 g/L. By expressing a heterologous gene, pyc, in the engineered E. coli, the accumulation of intracellular oxaloacetate remarkably improved, leading to glyoxylate production of up to 2.42 ± 0.00 g/L with specific productivity at 4.22 ± 0.09 g/g-cell. To date, this is the highest reported titer and specific productivity of glyoxylate in E. coli.
Evaluation of Probiotic Strains Isolated from Artemisia argyi Fermentation Liquor and the Antagonistic Effect of Lactiplantibacillus plantarum against Pathogens
Authors: Zhan Hui , He Yao , Wang Qi’an , Lu Qingzi , He Lihua , Tao Xueying , Wei Hua
Published: June 2023

This study was aimed at screening potential probiotic candidates to enhance the antimicrobial activity of Artemisia argyi against foodborne pathogens. Ten LAB strains were isolated from natural Artemisia argyi fermentation liquor (AAFL) and assessed for safety and antimicrobial ability. Therein, Lactiplantibacillus plantarum WLPL01, Lacticaseibacillus casei WLCA01, WLCA02, and WLCA03, and Lactobacillus harbiness WLHA01 were further evaluated for their potential probiotic properties (gastrointestinal tolerance and adhesion capacity). The results suggested that L. plantarum WLPL01 exhibited excellent properties and was, therefore, selected as the starter for A. argyi leaves fermentation. Then, L. plantarum WLPL01-fermented AAFL (AAFL-LP) was further investigated for its antimicrobial activity against foodborne pathogens. The results demonstrated that the inhibitory effect of AAFL-LP to foodborne pathogens, such as Listeria monocytogenes CMCC54007, Salmonella Typhimurium ATCC 13311, and Candida albicans ATCC 14053, was enhanced when compared to spontaneously fermented AAFL (AAFL-spontaneous). In addition, an analysis of the whole genome of L. plantarum WLPL01 revealed the presence of 13.9 kb long and 16 plantaricin-encoding loci (pln locus), and the increased antimicrobial activities of AAFL-LP might correlate with the production of bacteriocin. Our results indicate that L. plantarum WLPL01 can be used as a starter for Artemisia argyi fermentation to enhance its antimicrobial activity against foodborne pathogens.
Premier, Progress and Prospects in Renewable Hydrogen Generation: A Review
Authors: Sharma Mukesh , Pramanik Arka , Bhowmick Gourav , Tripathi Akash , Ghangrekar Makarand , Pandey Chandan , Kim Beom-Soo
Published: June 2023

Renewable hydrogen production has an opportunity to reduce carbon emissions in the transportation and industrial sectors. This method generates hydrogen utilizing renewable energy sources, such as the sun, wind, and hydropower, lowering the number of greenhouse gases released into the environment. In recent years, considerable progress has been made in the production of sustainable hydrogen, particularly in the disciplines of electrolysis, biomass gasification, and photoelectrochemical water splitting. This review article figures out the capacity, efficiency, and cost-effectiveness of hydrogen production from renewable sources effectively comparing the conventionally used technologies with the latest techniques, which are getting better day by day with the implementation of the technological advancements. Governments, investors, and industry players are increasingly interested in manufacturing renewable hydrogen, and the global need for clean energy is expanding. It is projected that facilities for manufacturing renewable hydrogen, as well as infrastructure to support this development, would expand, hastening the transition to an environment-friendly and low-carbon economy.
Avoiding Detection by Hostile Nodes in Airborne Tactical Networks
Authors: Ilie Dragos , Grahn Håkan , Lundberg Lars , Westerhagen Alexander , Granbom Bo , Höök Anders
Published: June 2023

Contemporary airborne radio networks are usually implemented using omnidirectional antennas. Unfortunately, such networks suffer from disadvantages such as easy detection by hostile aircraft and potential information leakage. In this paper, we present a novel mobile ad hoc network (MANET) routing protocol based on directional antennas and situation awareness data that utilizes adaptive multihop routing to avoid sending information in directions where hostile nodes are present. Our protocol is implemented in the OMNEST simulator and evaluated using two realistic flight scenarios involving 8 and 24 aircraft, respectively. The results show that our protocol has significantly fewer leaked packets than comparative protocols, but at a slightly higher cost in terms of longer packet lifetime.
Identification and Characterization of Novel ACE Inhibitory and Antioxidant Peptides from Sardina pilchardus Hydrolysate
Authors: Shao Mingyang , Wu Haixing , Wang Bohui , Zhang Xuan , Gao Xia , Jiang Mengqi , Su Ruiheng , Shen Xuanri
Published: June 2023

Sardina pilchardus is a valuable source of bioactive peptides with potential applications in functional foods. In this study, we investigated the angiotensin-converting enzyme (ACE) inhibitory activity of Sardina pilchardus protein hydrolysate (SPH) produced using dispase and alkaline protease. Our results showed that the low molecular mass fractions (<3 kDa) obtained through ultrafiltration exhibited more effective ACE inhibition, as indicated by screening with ACE inhibitory activity. We further identified the low molecular mass fractions (<3 kDa) using an LC-MS/MS rapid screening strategy. A total of 37 peptides with potential ACE inhibitory activity were identified based on high biological activity scores, non-toxicity, good solubility, and novelty. Molecular docking was used to screen for peptides with ACE inhibitory activity, resulting in the identification of 11 peptides with higher -CDOCKER ENERGY and -CDOCKER INTERACTION ENERGY scores than lisinopril. The sequences FIGR, FILR, FQRL, FRAL, KFL, and KLF were obtained by synthesizing and validating these 11 peptides in vitro, all of which had ACE inhibitory activity, as well as zinc-chelating capacity. All six peptides were found to bind to the three active pockets (S1, S2, and S1’) of ACE during molecular docking, indicating that their inhibition patterns were competitive. Further analysis of the structural characteristics of these peptides indicated that all six peptides contain phenylalanine, which suggests that they may possess antioxidant activities. After experimental verification, it was found that all six of these peptides have antioxidant activities, and we also found that the SPH and ultrafiltration fractions of SPH had antioxidant activities. These findings suggest that Sardina pilchardus may be a potential source of natural antioxidants and ACE inhibitors for the development of functional foods, and using LC-MS/MS in combination with an online database and molecular docking represents a promising, effective, and accurate approach for the discovery of novel ACE inhibitory peptides.
A Fractional-Order Total Variation Regularization-Based Method for Recovering Geiger-Mode Avalanche Photodiode Light Detection and Ranging Depth Images
Authors: Xie Da , Wang Xinjian , Wang Chunyang , Yuan Kai , Wei Xuyang , Liu Xuelian , Huang Tingsheng
Published: June 2023

High-quality image restoration is typically challenging due to low signal–to–background ratios (SBRs) and limited statistics frames. To address these challenges, this paper devised a method based on fractional-order total variation (FOTV) regularization for recovering Geiger-mode avalanche photodiode (GM-APD) light detection and ranging (lidar) depth images. First, the spatial differential peak-picking method was used to extract the target depth image from low SBR and limited frames. FOTV regularization was introduced based on the total variation regularization recovery model, which incorporates the fractional-order differential operator, in order to realize FOTV-regularization-based depth image recovery. These frameworks were used to establish an algorithm for GM-APD depth image recovery based on FOTV. The simulation and experimental results demonstrate that the devised FOTV-recovery algorithm improved the target reduction degree, peak signal–to–noise ratio, and structural similarity index measurement by 76.6%, 3.5%, and 6.9% more than the TV, respectively, in the same SBR and statistic frame conditions. Thus, the devised approach is able to effectively recover GM-APD lidar depth images in low SBR and limited statistic frame conditions.
Automated Approach for Computer Vision-Based Vehicle Movement Classification at Traffic Intersections
Authors: Jana Udita , Karmakar Jyoti Prakash Das , Chakraborty Pranamesh , Huang Tingting , Sharma Anuj
Published: June 2023

Movement-specific vehicle classification and counting at traffic intersections is a crucial component of various traffic management activities. In this context, with recent advancements in computer-vision-based techniques, cameras have emerged as a reliable data source for extracting vehicular trajectories from traffic scenes. However, classifying these trajectories by movement type is quite challenging, as characteristics of motion trajectories obtained this way vary depending on camera calibrations. Although some existing methods have addressed such classification tasks with decent accuracies, the performance of these methods significantly relied on the manual specification of several regions of interest. In this study, we proposed an automated classification method for movement-specific classification (such as right-turn, left-turn and through movements) of vision-based vehicle trajectories. Our classification framework identifies different movement patterns observed in a traffic scene using an unsupervised hierarchical clustering technique. Thereafter, a similarity-based assignment strategy is adopted to assign incoming vehicle trajectories to identified movement groups. A new similarity measure was designed to overcome the inherent shortcomings of vision-based trajectories. Experimental results demonstrated the effectiveness of the proposed classification approach and its ability to adapt to different traffic scenarios without any manual intervention.
Develop and Validate a Survey to Assess Adult’s Perspectives on Autonomous Ridesharing and Ridehailing Services
Authors: Mason Justin , Classen Sherrilene
Published: June 2023

Autonomous vehicles (AVs) have generated excitement for the future of transportation. Public transit agencies and companies (i.e., Uber) have begun developing shared autonomous transportation services. Most AV surveys focus on public opinion of perceived benefits and concerns of AVs but are not directly tied to field implementation of AVs. Experience and exposure to new technology affect adults’ perceptions and level of technology acceptance. As such, the Autonomous RideShare Services Survey (ARSSS) was developed to assess adults’ perceptions of AVs before and after being exposed to AVs. Face validity and content validity were established via focus groups and subject-matter experts (CVI = 0.95). Adults in the U.S. (N = 553) completed the ARSSS, and a subsample (N = 100) completed the survey again after two weeks. An exploratory and confirmatory factor analysis demonstrated that the ARSSS consists of three factors that can be used to reliably quantify users’ perceptions of AVs: (a) Intention to Use, Trust, and Safety (r = 0.85, p < 0.001, ICC = 0.99); (b) Potential Benefits (r = 0.70, p < 0.001, ICC = 0.97); and (c) Accessibility (r = 0.78, p < 0.001, ICC = 0.96) of AVs. These are key factors in predicting intention to use and acceptance of AVs. Results from the ARSSS may inform the acceptance among users of these AV technologies.
Regulatory Mechanisms of ArAux/IAA13 and ArAux/IAA16 in the Rooting Process of Acer rubrum
Authors: Zhu Huiyu , Li Huiju , Yu Jiayu , Zhao Hewen , Zhang Kezhong , Ge Wei
Published: June 2023

Acer rubrum is difficult to root during cutting propagation. Auxin/indole-acetic acids (Aux/IAA) proteins, which are encoded by the early response genes of auxin, are transcriptional repressors that play important roles in auxin-mediated root growth and development. In this study, ArAux/IAA13 and ArAux/IAA16, which were significantly differentially expressed after 300 mg/L indole butyric acid treatment, were cloned. Heatmap analysis revealed that they might be associated with the process of adventitious root (AR) growth and development mediated by auxin. Subcellular localization analysis showed that they performed their function in the nucleus. Bimolecular fluorescence complementation assays revealed the interactions between them and two auxin response factor (ARF) proteins, ArARF10 and ArARF18, confirming their relevance to AR growth and development. Overexpression of transgenic plants confirmed that the overexpression of ArAux/IAA13 and ArAux/IAA16 inhibited AR development. These results help elucidate the mechanisms of auxin-mediated AR growth and development during the propagation of A. rubrum and provide a molecular basis for the rooting of cuttings.
Possibilities, Patience, and Perseverance: A Preliminary Analysis of the Needs and Experiences of Ten Older Adults Regarding Their Use of Digital Health Technology
Authors: Sturm Janienke , Dierick Angelique , Christianen Marilène , van Gelder Marjolijn , Wouters Eveline
Published: June 2023

The COVID-19 pandemic created the need to use digital health resources (DR), as they sometimes were the only option to receive healthcare or social interaction. The aim of this research is to provide insight into the experiences during the lockdown of older people using DR for health in general and the points of improvement they see. A qualitative study was carried out using semi-structured interviews with older persons by telephone. A total of 10 older adults participated, with a median age of 78 years, the majority having a chronic disease. The most important themes for motivation to use health-related DR were ‘urgency’ and ‘usefulness’. Experiences with DR were related to the themes ‘human contact’ and ‘communication’, which were experienced by respondents as facilitated by DR, and ‘time and energy’, which was two-sided. Additionally, most older persons worried about accessibility of DR by all older persons and the support needed. In conclusion, older persons are convinced of the urgency and the usefulness of digital technology for health and healthcare. Time and energy constraints can be alleviated by using DR on the one hand, but this can also be challenging if older persons are less digitally skilled or lack digital literacy. Good and sustained human support is therefore mandatory.
Cardiovascular Disease-Related Health Promotion and Prevention Services by Pharmacists in Saudi Arabia: How Well Are They Prepared?
Authors: Alavudeen Sirajudeen Shaik , Easwaran Vigneshwaran , Khan Noohu Abdulla , Venkatesan Krishnaraju , Paulsamy Premalatha , Mohammed Hussein Abubakr Taha , Imam Mohammad Tarique , Almalki Ziyad Saeed , Akhtar Md Sayeed
Published: June 2023

Background: Cardiovascular diseases (CVDs) have been identified as the leading reason for morbidity and mortality in Saudi Arabia. Pharmacists play a major role in CVD prevention and health promotion. We aimed to assess the knowledge, attitudes, and involvement of pharmacists in CVD prevention and evaluate the influence of continuing medical education in CVD-prevention services in Saudi Arabia. Method: A cross-sectional study was conducted to evaluate the involvement of pharmacists in CVD-related prevention services along with their knowledge and attitudes. A 34-item questionnaire was developed and distributed among the participants. Results: A total of 324 responses were included in the study. More than 60% of pharmacists had provided counseling regarding the importance of healthy lifestyles and self-monitoring CVD risk factors. About half of the participants (49.1%) had never received any CVD-related continuing medical education. Overall, more than 60% of the participants reported positively towards their role in CVD prevention. Lack of time (66%) and lack of educational materials and tools (41%) were the top perceived barriers for providing CVD-prevention and health-promotion activities, followed by lack of skills in using tools (36%) and lack of privacy/space (33%). Conclusions: The involvement of pharmacists in the prevention of CVD is limited in this study. Further education and capacity building are required to strengthen pharmacists’ involvement in CVD-prevention and health-promotion activities.
γ Aminobutyric Acid (GABA): A Key Player in Alleviating Abiotic Stress Resistance in Horticultural Crops: Current Insights and Future Directions
Authors: Hayat Faisal , Khan Ummara , Li Juan , Ahmed Nazir , Khanum Fakhara , Iqbal Shahid , Altaf Muhammad Ahsan , Ahmad Jalil , Javed Hafiz Umer , Peng Yang , Ma Xiaoyan , Tu Panfeng , Chen Jiezhong , Shahid Muhammad Adnan
Published: June 2023

Gamma-aminobutyric acid (GABA) is a non-protein amino acid known for its role in the nervous system of animals. However, research has also revealed its presence and function in plants recently. In plants, GABA is a signal molecule involved in multiple physiological processes, including stress response, growth, and development. This review aims to present a thorough summary of the current knowledge regarding the role of GABA in plants. We begin by discussing the biosynthesis and transport of GABA in plants, followed by a detailed examination of its signaling mechanisms. Additionally, we explore GABA's potential roles in various plant physiological processes, such as abiotic stress response, and its potential application in horticultural plants. Finally, we highlight current challenges and future directions for research in this area. Overall, this review offers a comprehensive understanding of the significance of GABA in plants and its potential implications for plant physiology and crop improvement.
Molecular Characterization and Expression of CmobHLH Genes in Pumpkin
Authors: Ao Wenhong , Luo Weirong , Xu Wenchen , Wang Xudong , Liu Junjun , Sun Yongdong
Published: June 2023

The transcription factor bHLH gene family plays fundamental roles in plant development and mitigating diverse biotic and abiotic stresses. However, the information of bHLH genes in pumpkin (Cucurbita moschata) is still unknown. In this current study, 222 CmobHLH genes were identified and mapped onto different chromosomes through bioinformatics analysis in pumpkin. CmobHLH and AtbHLH proteins could be classified into 19 subfamilies according to the phylogenetic tree. CmobHLH proteins within the same subfamily had similar motif composition and gene structures. Gene ontology (GO), cis-regulatory elements (CREs) and protein–protein interaction analyses suggested the potential regulatory roles of CmobHLH genes during the plant development process and abiotic stresses response in pumpkin. Tissue expression patterns based on transcriptome data demonstrated that CmobHLH genes were involved in pumpkin development process, and they had unique functions in different tissues. The expression patterns of five selected CmobHLH genes after exposure to abiotic stresses showed that the CmobHLH genes played varied roles in the stress responses of pumpkin to NaCl, waterlogging, cold, ABA and drought. In brief, these findings offer important information for further functional research of CmobHLH genes and resistance breeding in pumpkin.
Production and Quality of West Indian Cherry (Malpighia emarginata D. C.) under Salt Stress and NPK Combinations
Authors: Silva Filho Antonio Manoel da , Gheyi Hans Raj , Melo Alberto Soares de , Silva André Alisson Rodrigues da , Bonou Semako Ibrahim , Amadeu Lumara Tatiely Santos , Ferraz Rener Luciano de Souza , Costa Patrícia Silva , Chaves Lucia Helena Garofalo , Figueirêdo Rossana Maria Feitosa de
Published: June 2023

This study aimed to evaluate the effect of fertilization combinations of nitrogen (N), phosphorus (P), and potassium (K) on the production and quality of West Indian cherry grown under salt stress in the second year of production. The study was conducted in a protected environment following a randomized block design with treatments distributed in a 2 × 10 factorial arrangement referring to two levels of electrical conductivity of irrigation water (0.6 and 4.0 dS m−1) and 10 NPK fertilization combinations (80-100-100; 100-100-100; 120-100-100; 140-100-100; 100-80-100; 100-120-100; 100-140-100; 100-100-80; 100-100-120 and 100-100-140% of the recommendation in the second year of production), with three replicates and one plant per lysimeter. Production and post-harvest variables evaluated were: the total fruit weight, total number of fruits, mean fruit weight, the polar and equatorial diameter, total soluble solids, pulp pH, titratable acidity, maturity ratio, vitamin C, reducing sugars, total phenolic compounds, total anthocyanins, and flavonoids. The results indicate that irrigation with water having a salinity of 4.0 dS m−1 negatively affected all production variables. The interaction between the ECw of 0.6 dS m−1 and the 100-80-120 NPK fertilization combination increased the total number of fruits and the total fruit weight of West Indian cherry.
Preliminary Assessment of Four Wild Leafy Species to Be Used as Baby Salads
Authors: Baldi Ada , Truschi Stefania , Bruschi Piero , Lenzi Anna
Published: June 2023

Wild edible leafy plants, thanks to their organoleptic characteristics and nutritional value that can make them be appreciated as salads by consumers, represent a good opportunity for growers and the fresh-cut industry, which are always looking for new crops to expand the number of products they offer. In this study, four wild species (dandelion, sorrel, wild chicory, and wild lettuce) were cultivated hydroponically up to the baby leaf stage in order to evaluate them as potential crops. At harvest, yield and antioxidant compounds, minerals, and nitrates content were assessed. The contribution to human mineral intake and the possible health risk associated with heavy metals were investigated. A characterization of the sensory profile was also carried out. Yield and chlorophylls and carotenoids content of the investigated species were comparable to those of common leafy vegetables. Variability in nitrate content was observed, with the lowest value in sorrel and the highest in dandelion. All species could contribute in Cr, Mg, and Se intake, and health risks due to heavy metals were excluded. Each species was well characterized by distinctive and peculiar sensory notes. In conclusion, the results of this preliminary study suggest that the four wild investigated species may be promising for baby leaf production.
Reduction of Pericarp Browning and Microbial Spoilage on Litchi Fruits in Modified Atmosphere Packaging
Authors: Passafiume Roberta , Roppolo Pasquale , Tinebra Ilenia , Pirrone Antonino , Gaglio Raimondo , Palazzolo Eristanna , Farina Vittorio
Published: June 2023

The pericarp browning and postharvest microbiological decay of litchi fruit (Litchi chinensis Sonn cv Kwai Mai) significantly reduce its commercial potential in the fresh market. In this study, different combinations of modified atmosphere packaging (MAP) were applied at 5 ± 1 °C based on the use of natural gases that are innocuous to human health and an alternative to commercially adopted sulfur dioxide (SO2) treatment. The results showed that control fruits, after 6 days of storage, begin to show the first symptoms of decay, revealed by the appearance of lesions and microbial infections determined by total mesophilic microorganisms and molds. This is not the case in the MAP-treated fruits and the MAP 3-treated (5% O2 + 20% CO2 + 75% N2) fruits that show the best results. The control fruits, moreover, turned completely brown by the end of the storage period. The MAP 3 treatment was the most effective in preventing browning and the loss of the red pericarp color and vitamin content and in maintaining acceptable SSC/TA levels and flavor. In addition, a microbiological analysis revealed that all the MAP-treated litchi fruits did not harbor undesirable microorganisms during the entire cold storage period. In conclusion, the MAP 3 conditions delayed pericarp browning and maintained the better organoleptic quality of litchi fruits.
Phytochemical Constituents and Antimicrobial Activity of Euphorbia serrata L. Extracts for Borago officinalis L. Crop Protection
Authors: Sánchez-Hernández Eva , González-García Vicente , Palacio-Bielsa Ana , Casanova-Gascón José , Navas-Gracia Luis Manuel , Martín-Gil Jesús , Martín-Ramos Pablo
Published: June 2023

The Euphorbia genus is the third-largest group of blooming plants, features a rich morphological variability, has a near-cosmopolitan distribution, and diverse medicinal uses. Nonetheless, phytochemical information about Euphorbia serrata L. extracts is not available. The objective of this research was to examine the constituents of the hydromethanolic extract of its aerial parts and propose valorization pathways. The results of gas chromatography-mass spectroscopy (GC−MS) demonstrated that 3-methylbutyl formate, quinic acid, N1-(4-hydroxybutyl)-N3-methylguanidine acetate, and 2,3-dihydro-3,5-dihydroxy-6-methyl-4H-pyran-4-one were the main phytocompounds, which have antimicrobial activity. Such activity was assayed against Pseudomonas cichorii, Botrytis cinerea, Fusarium oxysporum, and Sclerotinia sclerotiorum, four of the most destructive diseases of borage (Borago officinalis L.) crops, obtaining minimum inhibitory concentrations (MICs) of 750 and 1000 μg·mL−1 against the bacterium and the three fungal taxa, respectively, in in vitro tests. Conjugation of the extract with chitosan oligomers (COS) enhanced this activity, leading to MIC values of 187.5, 750, 500, and 500 μg·mL−1 for P. cichorii, B. cinerea, F. oxysporum, and S. sclerotiorum, respectively. Additional in vivo assays against two of the pathogens confirmed the protective action of the COS–E. serrata extract conjugate complexes on artificially inoculated plants at a dose of 375 and 1000 μg·mL−1 for P. cichorii and F. oxysporum, respectively. These findings suggest that this plant species can be a rich source of biorationals for prospective use in crop protection.
Impact of Regional Mobility on Air Quality during COVID-19 Lockdown in Mississippi, USA Using Machine Learning
Authors: Tuluri Francis , Remata Reddy , Walters Wilbur L. , Tchounwou Paul B.
Published: June 2023

Social distancing measures and shelter-in-place orders to limit mobility and transportation were among the strategic measures taken to control the rapid spreading of COVID-19. In major metropolitan areas, there was an estimated decrease of 50 to 90 percent in transit use. The secondary effect of the COVID-19 lockdown was expected to improve air quality, leading to a decrease in respiratory diseases. The present study examines the impact of mobility on air quality during the COVID-19 lockdown in the state of Mississippi (MS), USA. The study region is selected because of its non-metropolitan and non-industrial settings. Concentrations of air pollutants—particulate matter 2.5 (PM2.5), particulate matter 10 (PM10), ozone (O3), nitrogen oxide (NO2), sulfur dioxide (SO2), and carbon monoxide (CO)—were collected from the Environmental Protection Agency, USA from 2011 to 2020. Because of limitations in the data availability, the air quality data of Jackson, MS were assumed to be representative of the entire region of the state. Weather data (temperature, humidity, pressure, precipitation, wind speed, and wind direction) were collected from the National Oceanic and Atmospheric Administration, USA. Traffic-related data (transit) were taken from Google for the year 2020. The statistical and machine learning tools of R Studio were used on the data to study the changes in air quality, if any, during the lockdown period. Weather-normalized machine learning modeling simulating business-as-scenario (BAU) predicted a significant difference in the means of the observed and predicted values for NO2, O3, and CO (p < 0.05). Due to the lockdown, the mean concentrations decreased for NO2 and CO by −4.1 ppb and −0.088 ppm, respectively, while it increased for O3 by 0.002 ppm. The observed and predicted air quality results agree with the observed decrease in transit by −50.5% as a percentage change of the baseline, and the observed decrease in the prevalence rate of asthma in MS during the lockdown. This study demonstrates the validity and use of simple, easy, and versatile analytical tools to assist policymakers with estimating changes in air quality in situations of a pandemic or natural hazards, and to take measures for mitigating if the deterioration of air quality is detected.