bluuebunny/crossref_metadata_2025 huggingface dataset:
Multi-Dimensional Fusion Deep Learning for Side Channel Analysis
Authors: Deng Tuo , Wang Huanyu , He Dalin , Xiong Naixue , Liang Wei , Wang Junnian
Published: November 2023

The rapid advancement of deep learning has significantly heightened the threats posed by Side-Channel Attacks (SCAs) to information security, transforming their effectiveness to a degree several orders of magnitude superior to conventional signal processing techniques. However, the majority of existing Deep-Learning Side-Channel Attacks (DLSCAs) primarily focus on the classification accuracy of the trained model at the attack stage, often assuming that adversaries have unlimited computational and time resources during the profiling stage. This might result in an inflated assessment of the trained model’s fitting capability in a real attack scenario. In this paper, we present a novel DLSCA model, called a Multi-Dimensional Fusion Convolutional Residual Dendrite (MD_CResDD) network, to enhance and speed up the feature extraction process by incorporating a multi-scale feature fusion mechanism. By testing the proposed model on two software implementations of AES-128, we show that it is feasible to improve the profiling speed by at least 34% compared to other existing deep-learning models for DLSCAs and meanwhile achieved a certain level of improvement (8.4% and 0.8% for two implementations) in the attack accuracy. Furthermore, we also investigate how different fusion approaches, fusion times, and residual blocks can affect the attack efficiency on the same two datasets.
Preparation of Biobased Printed Circuit Board Prototypes Using Poly(furfuryl alcohol) Resin
Authors: Carrigan Aidan M. , Valentine Joseph , Viitaniemi Maria L. K. , Frost Kali , Nguyen Bichlien H. , Lincoln John D. , Tontisakis Antonios
Published: November 2023

The present study explores the processability and properties of poly(furfuryl alcohol) (PFA)-based composites and draws comparisons with the industry-standard epoxy resin matrices used in printed circuit board applications. A poly(furfuryl alcohol)-based fiberglass prepreg was used to manufacture composite cores laminated with copper foil, which were then integrated in situ into printed circuit board prototypes through industry-typical manufacturing and assembly processes. Both copper cores and printed boards were tested to characterize the electrical properties and overall quality of the prototypes. The fabrication of the copper cores and manufacturing methods of the printed boards are described, alongside the results from the characterization of the cores and the testing of the printed boards. The inherent advantages and disadvantages of the material are highlighted, and areas of improvement for the processability of the material and reliability of the technology are discussed.
Dual-Core PLC for Cooperating Projects with Software Implementation
Authors: Hubacz Marcin , Trybus Bartosz
Published: November 2023

Development of a general-purpose PLC based on a typical dual-core processor as a hardware platform is presented. The cores run two cooperating projects involving data exchange through shared memory. Such a solution is equivalent to a single-core PLC running two tasks by means of a real-time operating system. Upgrading to a typical programming tool involves defining which of the global variables are shared, and whether a variable in a particular core is read-from or written-to the shared memory. Extensions to core runtimes consist of read-from at the beginning of the scan cycle and write-to at the end, and of an algorithm for protecting the shared memory against access conflicts. As an example, the proposed solution is implemented in an engineering tool with runtime based on a virtual machine concept. The PLC prototype is based on a heterogeneous ARM dual-core STM32 microcontroller running different projects. The innovation in the research lies in showing how to run two projects in a dual-core PLC without using an operating system. Extension to multiple projects for a multi-core processor is can be accomplished in a similar manner.
A Cost Optimization Method Based on Adam Algorithm for Integrated Demand Response
Authors: Cheng Haoyuan , Ai Qian
Published: November 2023

Demand response has gradually evolved into integrated demand response (IDR) as energy integration technology develops in integrated energy systems (IESs). The IES has a large amount of data interaction and an increasing concern for users’ privacy protection. Based on the combined cooling, heating, and power model, our study established an IDR management model considering demand-side energy coupling, focusing on cost optimization. In terms of privacy protection in the IDR management process, an optimization method based on the Adam algorithm was proposed. Only nonsensitive data, such as gradients, were transmitted during the processing of the Adam-based method by relying on a centralized iterative computing architecture similar to federated learning. Thus, privacy protection was achieved. The final simulation results proved that the proposed IDR management model had a cost reduction of more than 9% compared with a traditional power demand response. Further simulations based on this model showed that the efficiency and accuracy of the proposed Adam-based method are better than those of other distributed computing algorithms.
Artificial Intelligence to Solve Production Scheduling Problems in Real Industrial Settings: Systematic Literature Review
Authors: Del Gallo Mateo , Mazzuto Giovanni , Ciarapica Filippo Emanuele , Bevilacqua Maurizio
Published: November 2023

This literature review examines the increasing use of artificial intelligence (AI) in manufacturing systems, in line with the principles of Industry 4.0 and the growth of smart factories. AI is essential for managing the complexities in modern manufacturing, including machine failures, variable orders, and unpredictable work arrivals. This study, conducted using Scopus and Web of Science databases and bibliometric tools, has two main objectives. First, it identifies trends in AI-based scheduling solutions and the most common AI techniques. Second, it assesses the real impact of AI on production scheduling in real industrial settings. This study shows that particle swarm optimization, neural networks, and reinforcement learning are the most widely used techniques to solve scheduling problems. AI solutions have reduced production costs, increased energy efficiency, and improved scheduling in practical applications. AI is increasingly critical in addressing the evolving challenges in contemporary manufacturing environments.
Accurate Fault Location Method Based on Time-Domain Information Estimation for Medium-Voltage Distribution Network
Authors: Sun Guanqun , Chen Rusi , Han Zheyu , Liu Haiguang , Liu Meiyuan , Zhang Ke , Xu Chaozheng , Wang Yikai
Published: November 2023

The sampling rate of the wide-area synchronous phasor measuring device (D-PMU) in the distribution network is insufficient, and the localization sensitivity of the traditional localization method based on the time-domain Bergeron equation in the distribution network is insufficient. In this paper, an accurate location method of the distribution line grounding fault based on the time-domain’ synchronous information calculation is proposed to solve the problem of limited location accuracy caused by a low sampling rate and the insufficient sensitivity of traditional methods. The method preprocesses the measurement data through low-frequency time-domain signal reconstruction and cubic spline interpolation. The fault current’s different location criterion is constructed by using the voltage and current constraints at the fault point. By calculating the fault current difference at a limited number of calculated points, the accurate fault location under a low sampling rate is realized, which is beneficial to the rapid maintenance of faults and the shortening of the power outage time.
Dynamical Analysis of a Memristive Chua’s Oscillator Circuit
Authors: Volos Christos
Published: November 2023

In this work, a novel memristive Chua’s oscillator circuit is presented. In the proposed circuit, a linear negative resistor, which is parallel coupled with a first-order memristive diode bridge, is used instead of the well-known Chua’s diode. Following this, an extensive theoretical and dynamical analysis of the circuit is conducted. This involves numerical computations of the system’s phase portraits, bifurcation diagrams, Lyapunov exponents, and continuation diagrams. A comprehensive comparison is made between the numerical simulations and the circuit’s simulations performed in Multisim. The analysis reveals a range of intriguing phenomena, including the route to chaos through a period-doubling sequence, antimonotonicity, and coexisting attractors, all of which are corroborated by the circuit’s simulation in Multisim.
An Enhanced Detection Method of PCB Defect Based on D-DenseNet (PCBDD-DDNet)
Authors: Kang Haiyan , Yang Yujie
Published: November 2023

Printed Circuit Boards (PCBs), as integral components of electronic products, play a crucial role in modern industrial production. However, due to the precision and complexity of PCBs, existing PCB defect detection methods exhibit some issues such as low detection accuracy and limited usability. In order to address these problems, a PCB defect detection method based on D-DenseNet (PCBDD-DDNet) has been proposed. This method capitalizes on the advantages of two deep learning networks, CDBN (Convolutional Deep Belief Networks) and DenseNet (Densely Connected Convolutional Networks), to construct the D-DenseNet (Combination of CDBN and DenseNet) network. Within this network, CDBN focuses on extracting low-level features, while DenseNet is responsible for high-level feature extraction. The outputs from both networks are integrated using a weighted averaging approach. Additionally, the D-DenseNet employs a multi-scale module to extract features from different levels. This is achieved by incorporating filters of sizes 3 × 3, 5 × 5, and 7 × 7 along the three paths of the CDBN network, multi-scale feature extraction network, and DenseNet network, effectively capturing information at various scales. To prevent overfitting and enhance network performance, the Adafactor optimization function and L2 regularization are introduced. Finally, online hard example mining mechanism (OHEM) is incorporated to improve the network’s handling of challenging samples and enhance the accuracy of the PCB defect detection network. The effectiveness of this PCBDD-DDNet method is demonstrated through experiments conducted on publicly available PCB datasets. And the method achieves a mAP (mean Average Precision) of 93.24%, with an accuracy higher than other classical networks. The results affirm the method’s efficacy in PCB defect detection.
Progressive Feature Reconstruction and Fusion to Accelerate MRI Imaging: Exploring Insights across Low, Mid, and High-Order Dimensions
Authors: Wang Bin , Lian Yusheng , Xiong Xingchuang , Zhou Han , Liu Zilong
Published: November 2023

Magnetic resonance imaging (MRI) faces ongoing challenges associated with prolonged acquisition times and susceptibility to motion artifacts. Compressed Sensing (CS) principles have emerged as a significant advancement, addressing these issues by subsampling k-space data points and enabling rapid imaging. Nevertheless, the recovery of intricate details from under-sampled data remains a complex endeavor. In this study, we introduce an innovative deep learning approach tailored to the restoration of high-fidelity MRI images from under-sampled k-space data. Our method employs a cascaded reconstruction strategy that progressively restores hierarchical features and fuses them to achieve the final reconstruction. This cascade encompasses low, intermediate, and high orders of reconstruction, which is followed by a return through intermediate and low orders. At distinct reconstruction stages, we introduce a novel reconstruction block to recapture diverse frequency information crucial for image reconstruction. The other core innovation of our proposal lies in a fusion algorithm that harmonizes results from various reconstruction tiers into the final MRI image. Our methodology is validated using two distinct datasets. Notably, our algorithm achieves impressive PSNR values of 32.60 and 31.02 at acceleration factors of 4× and 8× in the FastMRI dataset along with SSIM scores of 0.818 and 0.771, outperforming current state-of-the-art algorithms. Similarly, on the Calgary–Campinas dataset, our algorithm achieves even higher PSNR values, reaching 37.68 and 33.44, which is accompanied by substantial SSIM scores of 0.954 and 0.901. It is essential to highlight that our algorithm achieves these remarkable results with a relatively lower parameter count, underscoring its efficiency. Comparative analyses against analogous methods further emphasize the superior performance of our approach, providing robust evidence of its effectiveness.
Analysis of Offline Transient Power Oscillation and Its Suppression Method in the Microgrid with Multiple Virtual Synchronous Generators
Authors: Shan Liang , Yang Bo , Lu Shuai
Published: November 2023

When multiple Virtual Synchronous Generators (VSGs) operate in parallel in an islanded grid, power and frequency oscillations will occur when one VSG goes offline. However, the existing literature does not cover the related analysis and transient suppression schemes for this scenario. To analyze these complex high-order system dynamics, this paper first establishes an intuitive equivalent circuit model for multiple VSGs, and the frequency domain expressions of the multi-machine VSG system during the VSG offline transient simulation are then derived. Based on the multi-VSG model and its transient oscillations analysis, this paper further proposes a configuration scheme for the equivalent circuit parameters. Equivalently, the virtual inertia, damping coefficient and virtual impedance of the VSGs can be configured. With the proposed parameter configuration scheme, the power oscillation during the VSG offline transient can be eliminated, as verified by experiments with a microgrid lab platform using three VSGs. Compared with the existing multi-VSG studies, the proposed scheme is not only the first attempt to study the transient suppression when a VSG goes offline, but also is more intuitive in analysis and less complicated in the controller parameter tuning.
Variation in Copepod Morphological and Life History Traits along a Vertical Gradient of Freshwater Habitats
Authors: Tabilio Di Camillo Agostina , Galassi Diana Maria Paola , Fiasca Barbara , Di Cicco Mattia , Galmarini Emma , Vaccarelli Ilaria , Di Lorenzo Tiziana
Published: November 2023

Understanding trait selection factors is vital for decoding the processes shaping species’ assemblages. However, trait-based studies in freshwater crustacean copepod assemblages are scarce, especially in groundwater environments. We explored how environmental filtering influences functional traits in copepod assemblages across four freshwater habitats (an alluvial aquifer, a hyporheic zone, a stream benthic zone and a lake littoral) along a depth gradient. Each habitat had distinct environmental templates based on light, temperature and dissolved oxygen. We analysed 4898 individuals from 43 copepod species and examined 12 morphological and life history traits. The results revealed significant differences in copepod traits among habitats, notably in ovigerous female biomass, egg biomass and ovigerous female percentages. Furthermore, despite some statistical uncertainty, notable differences were also observed in the number of juveniles, male-to-female abundance ratios and overall biomass. No significant differences were observed in juvenile biomass, egg characteristics, body size dimorphism or juvenile-to-adult ratios among habitats. The trait variations offer insights into copepod-mediated ecosystem services, particularly carbon recycling. To gain a deeper understanding of copepod adaptations to environmental features and anthropogenic changes, future research should consider additional functional traits, such as locomotion and feeding habits.
The Effects of Sudden Freezing on the Biochemical Status of Bamboo Leaves: A Case Study on Nine Species on a Subtropical Plateau
Authors: Wang Sushuang , Yan Yingdan , Wu Yufang , Zhou Li , Liu Jiaxin , Yang Dejia , Li Juan , Wang Shuguang
Published: November 2023

The differences in the response of the leaves of different bamboo types to sudden snowfalls in winter were analyzed in order to provide scientific references for the introduction and cultivation of cold-resistant bamboo species and to provide new theoretical information on bamboo afforestation and disaster reduction. A total of nine bamboo species were selected to analyze the physiological and chemical changes in the leaves caused by a sudden snowfall. The results showed that sudden snowfall in winter led to a decrease in the moisture, soluble sugar, and starch contents in the leaves of all of the bamboo species analyzed, but there were increases in the contents of proline, MDA, and H2O2 and in the ratios of AsA/DHA and GSH/GSSG. Both the enzymatic activities (SOD, POD, CAT, APX, DHAR, GPX, and GR) and non-enzymatic antioxidant contents (AsA and GSH) were increased after the snowfall, which indicated that the sudden snowfall caused an increase in the antioxidant abilities in the leaves of all bamboo species analyzed. Different bamboo species adopted different strategies for resisting the freezing damage caused by the sudden snowfall. The prevention and mitigation of snow disasters in winter can be scientifically carried out in bamboo forests according to their tolerance abilities.
Comprehensive Analysis of Catalytic Characteristics and Molecular Mechanisms in Mutant Trametes versicolor Strains with Enhanced Laccase Activities
Authors: Zhang Chi , Yan Zhongjie , Li Xiufang , Wang Junming , Ren Xidong , Liu Xinli
Published: November 2023

The commercial potential of Trametes versicolor laccases in the degradation of various persistent contaminants is significant. Despite numerous attempts through rational metabolic engineering to enhance the properties of laccases, the outcomes have proven unsatisfactory for practical implementation. The present study successfully generated two novel mutants, namely, TA-04 and TA-15, derived from Trametes versicolor ATCC20869, utilizing atmospheric and room temperature plasma (ARTP). The laccase activities of TA-04 and TA-15 showed a significant increase to 136.507 ± 4.827 U/mg DCW and 153.804 ± 6.884 U/mg DCW, respectively, which were 1.201 and 1.354 times than that of the original strain. The laccase activities of the mutant strains TA-04 and TA-15 surpassed that of the original strain by 10.372% and 18.914%, respectively, at a higher pH level of five. Sequencing analysis of TA-04 and TA-15 revealed that several alternative amino acids within their active regions may enhance their catalytic characteristics under a higher temperature and pH condition. This study employed ARTP mutagenesis to propose two highly efficient microbial mutants derived from Trametes versicolor ATCC20869, exhibiting enhanced laccase activities. These mutants hold promising potential for the degradation of diverse environmental pollutants.
Comparative Studies of Changes in Cotton Fabrics and Fibers under the Influence of Disinfection, Sterilization, and DNA Degradation Agents
Authors: Śmigiel-Kamińska Daria , Wąs-Gubała Jolanta , Kumirska Jolanta
Published: November 2023

The purpose of this study was to detect changes in the structure and chemical composition of undyed and dyed cotton fabrics under the influence of six popular agents for disinfection, sterilization, and DNA degradation with different chemical compositions. The original and exposed fabrics and their constituent fibers were subjected to comparative analysis using various optical microscopy methods, infrared spectroscopy, and UV–Vis microspectrophotometry in order to differentiate the exanimated material due to the agents applied. Differences in color, from a slight change to complete discoloration, and in the structure of the tested fabrics, which became more rigid, brittle, or, for example, compact, were noticed. With the use of ATR FTIR, it was possible to identify the presence in the exposed fabrics of residues of these agents that contained quaternary ammonium salts. Bright-field microscopy made it possible to show, above all, changes or lack thereof in the fluorescence properties of single exposed fibers in relation to control ones. With the use of UV–Vis microspectrophotometry, changes in colored fibers following the action of a specific agent on the examined fabrics were monitored. A case study was presented as an application aspect of the research, in which the use of concrete disinfectants was recognized based on changes observed in cotton clothing.
Forest Fire Object Detection Analysis Based on Knowledge Distillation
Authors: Xie Jinzhou , Zhao Hongmin
Published: November 2023

This paper investigates the application of the YOLOv7 object detection model combined with knowledge distillation techniques in forest fire detection. As an advanced object detection model, YOLOv7 boasts efficient real-time detection capabilities. However, its performance may be constrained in resource-limited environments. To address this challenge, this research proposes a novel approach: considering that deep neural networks undergo multi-layer mapping from the input to the output space, we define the knowledge propagation between layers by evaluating the dot product of features extracted from two different layers. To this end, we utilize the Flow of Solution Procedure (FSP) matrix based on the Gram matrix and redesign the distillation loss using the Pearson correlation coefficient, presenting a new knowledge distillation method termed ILKDG (Intermediate Layer Knowledge Distillation with Gram Matrix-based Feature Flow). Compared with the classical knowledge distillation algorithm, KD, ILKDG achieved a significant performance improvement on a self-created forest fire detection dataset. Specifically, without altering the student network’s parameters or network layers, mAP@0.5 improved by 2.9%, and mAP@0.5:0.95 increased by 2.7%. These results indicate that the proposed ILKDG method effectively enhances the accuracy and performance of forest fire detection without introducing additional parameters. The ILKDG method, based on the Gram matrix and Pearson correlation coefficient, presents a novel knowledge distillation approach, providing a fresh avenue for future research. Researchers can further optimize and refine this method to achieve superior results in fire detection.
Environmental DNA Detects Remaining Populations of Endangered Stream Salmon (Sichuan Taimen: Hucho bleekeri Kimura Salmonidae) in the Qinling Mountains
Authors: Zhao Hu , Zhang Jianlu , Wang Qijun , Ma Hongying , Zhang Han , Kong Fei , Deng Jie , Fang Cheng , Zhang Hongxing , Jiang Wei
Published: November 2023

Sichuan taimen (Hucho bleekeri Salmonidae) populations are declining, and the status of remnant populations in the Qinling Mountains is poorly known. In this study, eDNA and creel netting were used to estimate the distributions of Sichuan taimen in two upper tributaries of the Hanjiang River. A qPCR assay was applied to detect the eDNA of H. bleekeri, and the presence of Sichuan taimen in the Taibai River, but not in the Xushui River, was confirmed. Sampling during summer achieved a relatively higher detection rate. The utility of eDNA techniques for detecting low-density Sichuan taimen was demonstrated in intricate stream ecosystems. The eDNA method can increase the efficiency of the management of endangered freshwater species, such as Sichuan taimen, by providing reliable distribution data.
Modulation of Designed Gut Bacterial Communities by Prebiotics and the Impact of Their Metabolites on Intestinal Cells
Authors: Roupar Dalila , González Abigail , Martins Joana T. , Gonçalves Daniela A. , Teixeira José A. , Botelho Cláudia , Nobre Clarisse
Published: November 2023

The impact of prebiotics on human health is associated with their capacity to modulate microbiota, improving beneficial microbiota–host interactions. Herein, the prebiotic potential of microbial-fructo-oligosaccharides (microbial-FOSs) produced by a co-culture of Aspergillus ibericus plus Saccharomyces cerevisiae was evaluated on seven- and nine-strain bacterial consortia (7SC and 9SC, respectively), designed to represent the human gut microbiota. The 7SC was composed of Bacteroides dorei, Bacteroides vulgatus, Bifidobacterium adolescentis, Bifidobacterium longum, Escherichia coli, Lactobacillus acidophilus, and Lactobacillus rhamnosus. The 9SC also comprised the aforementioned bacteria, with the addition of Bacteroides thetaiotaomicron and Roseburia faecis. The effect of microbial-FOSs on the metabolic activity of intestinal Caco-2/HT29-MTX-E12 co-culture was also assessed. The results showed that microbial-FOS selectively promoted the growth of probiotic bacteria and completely suppressed the growth of E. coli. The microbial-FOSs promoted the highest production rates of lactate and total short-chain fatty acids (SCFA) as compared to the commercial prebiotic Frutalose® OFP. Butyrate was only produced in the 9SC consortium, which included the R. faecis—a butyrate-producing bacteria. The inclusion of this bacteria plus another Bacteroides in the 9SC promoted a greater metabolic activity in the Caco-2/HT29-MTX-E12 co-culture. The microbial-FOSs showed potential as promising prebiotics as they selectively promote the growth of probiotic bacteria, producing high concentrations of SCFA, and stimulating the metabolic activity of gut cells.
The New Mitochondrial Genome of Hemiculterella wui (Cypriniformes, Xenocyprididae): Sequence, Structure, and Phylogenetic Analyses
Authors: Zhang Renyi , Zhu Tingting , Yu Feng
Published: November 2023

Hemiculterella wui is an endemic small freshwater fish, distributed in the Pearl River system and Qiantang River, China. In this study, we identified and annotated the complete mitochondrial genome sequence of H. wui. The mitochondrial genome was 16,619 bp in length and contained 13 protein coding genes (PCGs), two rRNA genes, 22 tRNA genes, and one control region. The nucleotide composition of the mitochondrial genome was 29.9% A, 25.3% T, 27.4% C, and 17.5% G, respectively. Most PCGs used the ATG start codon, except COI and ATPase 8 started with the GTG start codon. Five PCGs used the TAA termination codon and ATPase 8 ended with the TAG stop codon, and the remaining seven genes used two incomplete stop codons (T and TA). Most of the tRNA genes showed classical cloverleaf secondary structures, except that tRNASer(AGY) lacked the dihydrouracil loop. The average Ka/Ks value of the ATPase 8 gene was the highest, while the average Ka/Ks value of the COI gene was the lowest. Phylogenetic analyses showed that H. wui has a very close relationship with Pseudohemiculter dispar and H. sauvagei. This study will provide a valuable basis for further studies of taxonomy and phylogenetic analyses in H. wui and Xenocyprididae.
Mural Paintings Characterisation Using X-ray Fluorescence and Raman Spectroscopy—A Case Study: Nossa Senhora das Neves Chapel, Vilar de Perdizes, Galicia—North Portugal Euroregion
Authors: Freire-Lista David M. , Vázquez Ezequiel , Barreiro Castro Pablo , Salavessa Eunice , Costa Maria do Rosário , Moreira Rafael , López Ana J.
Published: November 2023

Sixteenth-century mural paintings of Nossa Senhora das Neves in Vilar de Perdizes (Galicia—North Portugal Euroregion) were analysed. An iconographic study has allowed us to understand the meaning of the seven scenes that constitute the mural painting. X-ray fluorescence (XRF) and Raman spectroscopies determined the compounds used in this mural painting, both in the original and in later repaintings. The black paint was bone black. Hydroxyapatite characteristic bands and those of the associated phosphates have been identified. White lime was used as white paint. Lepidocrocite and goethite were used to make yellows, and hematite was used to make red shades. Cinnabar has been used for a later red repaint. Carbon-based compounds and rutile were used to create different tonalities by darkening or lightening colours. It is of great significance to obtain accurate and reliable mural painting information through scientific means, since preservation, restoration, and repainting without detailed information can be harmful to mural paintings.
The Effect of Transportation Networks on Heritage Tourism and New Urbanization—Empirical Research Based on Rich Heritage Sites in a Chinese Province
Authors: Yu Jie , Safarov Bahodirhon , Wang Changming , Buzrukova Makhina , Janzakov Bekzot
Published: November 2023

Accelerating the construction of transportation networks has become an important bridge to promote the urbanization of heritage tourism destinations. Based on the development dilemma of tourism towns in northwestern China, this study collected the panel data of 10 cities in Shaanxi Province from 2006 to 2019 and used a panel error correction model to investigate the long-term and short-term relationships between heritage tourism and new urbanization. In addition, this paper establishes a regression model of the transportation network’s regulatory effect, revealing the extent of the impact of the transportation network on heritage tourism and new urbanization. The results show that (1) in the short term, the influence of heritage tourism on new urbanization is not remarkable, but in the long term, heritage tourism plays a positive role in facilitating new urbanization; (2) the short-term contribution elasticity of new urbanization to heritage tourism is less than that in the long term; (3) the regulatory effect of the transportation network rectifies the deviation caused by overdeveloped urbanization to moderate development in heritage tourism destinations.
Exploration of Phenolic Content and Antioxidant Potential from Plants Used in Traditional Medicine in Viesca, Mexico
Authors: Palma-Wong Marlene , Ascacio-Valdés Juan A. , Ramírez-Guzmán Nathiely , Aguirre-Joya Jorge A. , Flores-Loyola Erika , Ramírez-Moreno Agustina , Torres-León Cristian
Published: November 2023

The medicinal plants of the desert can be a potential source of natural bioactive compounds with applications in health and food preservation. This work aimed to investigate the phenolic content and antioxidant potential of twenty-three plants from the arid zone of Viesca, Mexico. The antioxidant potential was determined by three methods (ABTS, FRAP, and DPPH). Two extraction methods and three different concentration levels (1:10 mg/mL, 1:25 mg/mL, and 1:50 mg/mL) were evaluated. According to the results, Turnera diffusa (Damiana), Gutierrezia sarothrae (Hierba de San Nicolas), and Leucophyllum frutescens (Cenizo) present the largest content of phenolic compounds and high antioxidant activity. The highest values of antioxidant activity were achieved using a solid/liquid ratio of 1:50 g/mL for T. diffusa and G. sarothrae and 1:25 mg/mL for L. frutescens. The maceration method was the most suitable for extracting antioxidant compounds from T. diffusa and L. frutescens, while ultrasound-assisted extraction was more efficient for G. sarothrae. The HPLC-MS analysis showed the presence of important phenolic compounds. This study shows for the first time that three plants that naturally grow in Viesca have great potential as a source of natural antioxidant compounds.
The Chemistry, Sensory Properties and Health Benefits of Aroma Compounds of Black Tea Produced by Camellia sinensis and Camellia assamica
Authors: Parveen Asma , Qin Chun-Yin , Zhou Feng , Lai Guoping , Long Piaopiao , Zhu Mengting , Ke Jiaping , Zhang Liang
Published: November 2023

Black tea is frequently consumed worldwide and is renowned for having a distinctive scent. The volatile chemicals in tea are responsible for its aroma, which is important for sensory quality. The enzymatic and non-enzymatic processes that produce the compounds endowing black tea with its distinctive aroma are complex. Black tea is well known for its robust and complex aroma, which can vary based on the type of tea leaves used and processing technologies used. During the production of black tea, several intricate biological and chemical processes contribute to the aroma’s development. Different volatile chemicals are generated during the processing of black tea, which includes withering, rolling, fermentation (enzymatic oxidation), and drying. Various methods have been used to analyze and describe the aroma of black tea. Different methods, such as gas chromatography-mass spectrometry, olfactometry, and solid phase extraction, have been used to assess the fragrance of black tea. These methods evaluate characteristics including fruity, flowery, woody, malty, spicy, and smoky flavors. Phenyl ethyl alcohol, one-octen-3-ol, trans-linalool oxide (furanoid), geraniol, and nonanal are major aroma-active compounds in black tea. Sensory analytic techniques are used to assess black tea’s flavor and scent qualities. This assessment helps figure out the tea’s quality, unique characteristics, and even some unpleasant attributes. Black tea is mostly made from Camellia sinensis and Camellia assamica tea varieties. These two varieties, members of the Camellia genus, differ in their development patterns, leaf sizes, and chemical makeup, impacting how black tea’s scent is formed. When evaluating black tea made from Camellia sinensis and assamica, sensory analysis involved assessing the aroma when the tea was dry and, after brewing, noting any differences from other teas. This review focused on how key aromatic compounds are formed during the tea manufacturing process by Camellia sinensis and Camellia assamica black tea.
Comparison of Different Temperature Control Systems in Tropical-Adapted Greenhouses for Green Romaine Lettuce Production
Authors: Kumsong Niracha , Thepsilvisut Ornprapa , Imorachorn Phanawan , Chutimanukul Preuk , Pimpha Nuttaporn , Toojinda Theerayut , Trithaveesak Opas , Ratanaudomphisut Eakkarach , Poyai Amporn , Hruanun Charndet , Yanuwong Suwan , Pakhamin Wanchai , Kayoontammarong Chaiwiwat , Janpeng Maliwan , Ehara Hiroshi
Published: November 2023

The cultivation of lettuce in greenhouses is negatively impacted by high temperatures, especially in hot climates. Therefore, developing an efficient method to regulate the internal temperature of greenhouses is essential to sustain crop productivity throughout the year. This study intends to investigate differential temperature control systems for green romaine lettuce production in the greenhouse. The experiment was conducted in a completely randomized design (CRD) with five replications. The four treatments consisted of (1) control, (2) Fogging + ventilation fan, (3) Fogging + shading, and (4) Fogging + ventilation fan + shading. The different temperature control systems influenced the growth and yield parameters, in which shading operation appears to cause reductions in photosynthetic rate, leading to declines of marketable fresh weight. However, the operation of the fogging and ventilation fan was considered the appropriate method for improving indoor air temperature since this resulted in higher growth and yield and a greater sensory evaluation. Maintaining VPD values between 1.62 and 1.76 kPa and controlling light intensity within the 530–700 mol m−2 s−1 range were recommended to ensure a consistent lettuce yield of 65–82 g plant−1 throughout the year.
Multi-Omics Mining of lncRNAs with Biological and Clinical Relevance in Cancer
Authors: Salido-Guadarrama Ivan , Romero-Cordoba Sandra L. , Rueda-Zarazua Bertha
Published: November 2023

In this review, we provide a general overview of the current panorama of mining strategies for multi-omics data to investigate lncRNAs with an actual or potential role as biological markers in cancer. Several multi-omics studies focusing on lncRNAs have been performed in the past with varying scopes. Nevertheless, many questions remain regarding the pragmatic application of different molecular technologies and bioinformatics algorithms for mining multi-omics data. Here, we attempt to address some of the less discussed aspects of the practical applications using different study designs for incorporating bioinformatics and statistical analyses of multi-omics data. Finally, we discuss the potential improvements and new paradigms aimed at unraveling the role and utility of lncRNAs in cancer and their potential use as molecular markers for cancer diagnosis and outcome prediction.
Genetic Testing Enhances the Precision Diagnosis and Treatment of Breast Cancer
Authors: Yang Tinglin , Li Wenhui , Huang Tao , Zhou Jun
Published: November 2023

The contemporary comprehension of breast cancer has progressed to the molecular level. As a heterogeneous malignancy, conventional pathological diagnosis and histological classification could no longer meet the needs of precisely managing breast cancer. Genetic testing based on gene expression profiles and gene mutations has emerged and substantially contributed to the precise diagnosis and treatment of breast cancer. Multigene assays (MGAs) are explored for early-stage breast cancer patients, aiding the selection of adjuvant therapy and predicting prognosis. For metastatic breast cancer patients, testing specific genes indicates potentially effective antitumor agents. In this review, genetic testing in early-stage and metastatic breast cancer is summarized, as well as the advantages and challenges of genetic testing in breast cancer.
New Insights into Phylogenetic Relationship of Hydrocotyle (Araliaceae) Based on Plastid Genomes
Authors: Yan Rongrong , Gu Li , Qu Lu , Wang Xiaoyu , Hu Guoxiong
Published: November 2023

Hydrocotyle, belonging to the Hydrocotyloideae of Araliaceae, consists of 95 perennial and 35 annual species. Due to the lack of stable diagnostic morphological characteristics and high-resolution molecular markers, the phylogenetic relationships of Hydrocotyle need to be further investigated. In this study, we newly sequenced and assembled 13 whole plastid genomes of Hydrocotyle and performed comparative plastid genomic analyses with four previously published Hydrocotyle plastomes and phylogenomic analyses within Araliaceae. The plastid genomes of Hydrocotyle exhibited typical quadripartite structures with lengths from 152,659 bp to 153,669 bp, comprising a large single-copy (LSC) region (83,958–84,792 bp), a small single-copy (SSC) region (18,585–18,768 bp), and a pair of inverted repeats (IRs) (25,058–25,145 bp). Each plastome encoded 113 unique genes, containing 79 protein-coding genes, 30 tRNA genes, and four rRNA genes. Comparative analyses showed that the IR boundaries of Hydrocotyle plastomes were highly similar, and the coding and IR regions exhibited more conserved than non-coding and single-copy (SC) regions. A total of 2932 simple sequence repeats and 520 long sequence repeats were identified, with specificity in the number and distribution of repeat sequences. Six hypervariable regions were screened from the SC region, including four intergenic spacers (IGS) (ycf3-trnS, trnS-rps4, petA-psbJ, and ndhF-rpl32) and two coding genes (rpl16 and ycf1). Three protein-coding genes (atpE, rpl16, and ycf2) were subjected to positive selection only in a few species, implying that most protein-coding genes were relatively conserved during the plastid evolutionary process. Plastid phylogenomic analyses supported the treatment of Hydrocotyle from Apiaceae to Araliaceae, and topologies with a high resolution indicated that plastome data can be further used in the comprehensive phylogenetic research of Hydrocotyle. The diagnostic characteristics currently used in Hydrocotyle may not accurately reflect the phylogenetic relationships of this genus, and new taxonomic characteristics may need to be evaluated and selected in combination with more comprehensive molecular phylogenetic results.
A Combination of Ruthenium Complexes and Photosensitizers to Treat Colorectal Cancer
Authors: Massoud Jacquie , Pinon Aline , Gallardo-Villagrán Manuel , Paulus Lucie , Ouk Catherine , Carrion Claire , Antoun Sayed , Diab-Assaf Mona , Therrien Bruno , Liagre Bertrand
Published: November 2023

Treatment regimens are regularly evolving alongside novel therapies and drugs. Such evolution is necessary to circumvent resistance mechanisms and to give patients the best possible health care. When dealing with cancer, most regimens involve multiple treatments (surgery, radiation therapy, chemotherapy, immunotherapy, etc.). The purpose of this study was to associate in a single compound metal-based drugs and photosensitizers to combine chemotherapy and photodynamic therapy. Two arene–ruthenium tetrapyridylporphyrin compounds (2H-TPyP-arene-Ru and Zn-TPyP-arene-Ru) have been synthesized and evaluated on two colorectal cancer cell lines (HCT116 and HT-29). Their cytotoxicity and phototoxicity have been evaluated. In addition, the anticancer mechanism and the cell death process mediated by the two compounds were studied. The results showed that the two arene–ruthenium photosensitizer-containing complexes have a strong phototoxic effect after photoactivation. The 2H-TPyP-arene-Ru complex induced outstanding cytotoxicity when compared to the Zn-TPyP-arene-Ru analogue. Moreover, under light, these two arene–ruthenium photosensitizers induce an apoptotic process in human colorectal cancer cell lines.
The Updated Scope of the Journal of Ageing and Longevity
Authors: Pawelec Graham P. , Tully Mark A.
Published: November 2023

We are happy that the Journal of Ageing and Longevity has now entered its third year, publishing notable papers covering the wide field encompassed by its title [...]
Reply to Özdemir, Ö. Allergic Disease with Selective IgA Deficiency. Comment on “Cinicola et al. The Allergic Phenotype of Children and Adolescents with Selective IgA Deficiency: A Longitudinal Monocentric Study. J. Clin. Med. 2022, 11, 5705”
Authors: Cinicola Bianca Laura , Brindisi Giulia , Capponi Martina , Gori Alessandra , Loffredo Lorenzo , De Castro Giovanna , Anania Caterina , Spalice Alberto , Guido Cristiana Alessia , Milito Cinzia , Duse Marzia , Quinti Isabella , Pulvirenti Federica , Zicari Anna Maria
Published: November 2023

We carefully read the correspondence [...]
Evaluation of Femoropopliteal In-Stent Restenosis Characteristics Stratified by Stent Design
Authors: Noory Elias , Böhme Tanja , Salm Jonas , Beschorner Ulrich , Endress Larissa , Bollenbacher Roaa , Westermann Dirk , Zeller Thomas
Published: November 2023

Purpose: To evaluate the potential differences in characteristics of femoropopliteal in-stent restenosis (ISR) stratified by stent design with a focus on the swirling flow-inducing BioMimics 3D helical centerline stent. Methods: Patients with ISR of the superficial femoral and popliteal arteries undergoing reintervention were included in this study. The primary endpoint was the angiographic localization and extent of restenosis or reocclusion with the following five different stent systems: SMART Control stent, Supera peripheral stent, GORE® VIABAHN® endoprosthesis, BioMimics 3D stent, and Zilver® PTX® stent. Results: 414 ISR lesions were analyzed, affecting 236 Supera stents, 67 BioMimics 3D stents, 48 Zilver® PTX® stents, 38 SMART Control stents, and 25 VIABAHN® endoprostheses. The mean stent diameter and length were 5.7 ± 0.77 mm and 121.4 ± 94.8 mm, respectively. ISR included 310 (74.9%) lesions with 1 stent, 89 (21.5%) lesions with 2 stents, 14 (3.4%) lesions with 3 stents, and 1 lesion (0.2%) with 4 stents. Most lesions presented as reocclusions (67.4%) rather than focal (13.3%) or diffuse restenoses (19.3%). No significant differences in ISR lesion morphology were found. By trend, BioMimics 3D stent lesion extension was more focal (16.4% versus 12.7%, p = 0.258), with the highest proportion of lesions in which only the proximal stent third was affected (9.0% versus 5.8%, p = 0.230), as compared to the average of the other four devices. The occlusion rate was the second lowest for the BioMimics 3D stent (64.2 vs. 68.0%, p = 0.316). Risk factors for restenosis or occlusion were active smoking, pre-interventional occlusion, and popliteal intervention. Conclusion: Our results suggest that the helical centerline stent design of the BioMimics 3D stent, which results in a swirling flow with increased wall shear stress, may offer protective properties over straight stent designs, including DES and endoprosthesis, regarding localization and extension of restenosis. Prospective, randomized studies are warranted.
Polypill Therapy for Cardiovascular Disease Prevention and Combination Medication Therapy for Hypertension Management
Authors: Narita Keisuke , Hoshide Satoshi , Kario Kazuomi
Published: November 2023

Although various guidelines for cardiovascular disease prevention have been established, the optimal drug therapy is often not implemented due to poor medication adherence and the clinical inertia of healthcare practitioners. Polypill strategies are one solution to this problem. Previous studies have established the usefulness of polypills, i.e., combination tablets including three or more medications, for the prevention of cardiovascular disease. For this purpose, the polypills generally contain an antiplatelet medication, an antihypertensive medication, and a statin. For the specific management of hypertension, combination therapy including more than two classes of antihypertensive medications is recommended by most international guidelines. Combination tablets including two classes of antihypertensive medications, such as renin-angiotensin system (RAS) inhibitors (angiotensin-converting enzyme inhibitors [ACEIs] and angiotensin receptor blockers [ARBs]) and Ca-channel blockers or thiazide diuretics, have been reported to be useful for cardiovascular disease prevention and lowering blood pressure (BP) levels. The use of RAS inhibitors is recommended for a wide range of complications, including diabetes, chronic heart failure, and chronic kidney disease. The combination of an RAS inhibitor and diuretic or Ca-channel blocker is thus recommended for the management of hypertension. Finally, we expect that novel medications such as angiotensin receptor neprilysin inhibitors (ARNIs) and sodium glucose cotransporter 2 inhibitors (SGLT2i), which have a more diverse range of effects in hypertension, heart failure, or diabetes, may be a solution to the problem of polypharmacy. Evidence is accumulating on the benefits of polypill strategies in cardiovascular disease prevention. Combination tablets are also effective for the treatment of hypertension.
Obstructed Hemivagina with Ipsilateral Renal Agenesis: A Challenging Case Report and a Management Flow Chart
Authors: Malanowska-Jarema Ewelina , Starczewski Andrzej , Osnytska Yana , Krzyścin Mariola , Sowińska-Przepiera Elżbieta , Balzarro Matteo , Rubilotta Emanuele
Published: November 2023

We present here a case of complex uterine anomaly—obstructed hemivagina with ipsilateral renal agenesis (OHVIRA), also known as Herlyn-Werner-Wunderlich syndrome in a 13-year-old girl with a history of recurrent urinary tract infections (rUTI). In the emergency room, a trans-abdominal sonography revealed an ovarian cyst and renal agenesis, without any suspicion of vaginal obstruction. This led to a delay in the diagnosis of this uncommon anomaly. Finally, MRI findings confirmed the presence of OHVIRA syndrome. As the congenital anomalies of the kidney and urinary tract (CAKUT) are present in almost one third of cases associated with genital malformations, urologists should carefully screen patients with rUTI. The patient underwent simultaneous laparoscopy and vaginoscopy, which was in our opinion the most appropriate therapeutic decision. In this article, we are also going to discuss the role of laparoscopy in the management of OHVIRA syndrome, as well as other surgical techniques described in the literature.