bluuebunny/crossref_metadata_2025 huggingface dataset:
Diabetic Macular Edema Optical Coherence Tomography Biomarkers Detected with EfficientNetV2B1 and ConvNeXt
Authors: Suciu Corina Iuliana , Marginean Anca , Suciu Vlad-Ioan , Muntean George Adrian , Nicoară Simona Delia
Published: December 2023

(1) Background: Diabetes mellitus (DM) is a growing challenge, both for patients and physicians, in order to control the impact on health and prevent complications. Millions of patients with diabetes require medical attention, which generates problems regarding the limited time for screening but also addressability difficulties for consultation and management. As a result, screening programs for vision-threatening complications due to DM have to be more efficient in the future in order to cope with such a great healthcare burden. Diabetic macular edema (DME) is a severe complication of DM that can be prevented if it is timely screened with the help of optical coherence tomography (OCT) devices. Newly developing state-of-the-art artificial intelligence (AI) algorithms can assist physicians in analyzing large datasets and flag potential risks. By using AI algorithms in order to process OCT images of large populations, the screening capacity and speed can be increased so that patients can be timely treated. This quick response gives the physicians a chance to intervene and prevent disability. (2) Methods: This study evaluated ConvNeXt and EfficientNet architectures in correctly identifying DME patterns on real-life OCT images for screening purposes. (3) Results: Firstly, we obtained models that differentiate between diabetic retinopathy (DR) and healthy scans with an accuracy of 0.98. Secondly, we obtained a model that can indicate the presence of edema, detachment of the subfoveolar neurosensory retina, and hyperreflective foci (HF) without using pixel level annotation. Lastly, we analyzed the extent to which the pretrained weights on natural images “understand” OCT scans. (4) Conclusions: Pretrained networks such as ConvNeXt or EfficientNet correctly identify features relevant to the differentiation between healthy retinas and DR, even though they were pretrained on natural images. Another important aspect of our research is that the differentiation between biomarkers and their localization can be obtained even without pixel-level annotation. The “three biomarkers model” is able to identify obvious subfoveal neurosensory detachments, retinal edema, and hyperreflective foci, as well as very small subfoveal detachments. In conclusion, our study points out the possible usefulness of AI-assisted diagnosis of DME for lowering healthcare costs, increasing the quality of life of patients with diabetes, and reducing the waiting time until an appropriate ophthalmological consultation and treatment can be performed.
Perceived Barriers and Facilitators to Implementation of Inclusive Policy, Systems, and Environmental Changes
Authors: Herman Cassandra , Vanderbom Kerri , Edwards Karma , Eisenberg Yochai
Published: December 2023

People with disabilities (PWDs) are often excluded from health-promoting activities in their communities. Inclusive policy, systems, and environmental (PSE) changes can promote access to healthy lifestyle choices for PWDs. However, implementation of inclusive PSEs in community-based settings is challenging and we lack an understanding of what factors impact implementation of inclusive PSEs. The purpose of this study was to examine barriers and facilitators experienced by community coaches while planning and implementing inclusive PSEs. Semi-structured interviews (n = 10) were conducted with coaches as part of the Reaching People with Disabilities through Healthy Communities project. Interviews were coded using directed content analysis guided by the Theoretical Domains Framework and were categorized into barriers and facilitators within the COM-B framework (which identifies Capability, Opportunity, and Motivations as components that can impact Behavior). The opportunities domain, consisting of social influences and environmental context and resources, most impacted disability-inclusive PSE implementation. Within this domain, facilitators included community support, strong partnerships, technical assistance from experts, and alignment with ongoing initiatives. Barriers included the community’s lack of knowledge about disability, fear regarding resources needed for inclusive changes, and lack of resources (time, staff, funding). Supports addressing the opportunities domain should be considered to facilitate the implementation of disability-inclusive PSEs to build healthy, accessible communities for all.
Digital Assessment: A Survey of Romanian Higher Education Teachers’ Practices and Needs
Authors: Grosseck Gabriela , Bran Ramona Alice , Țîru Laurențiu Gabriel
Published: December 2023

Within the European Commission’s Digital Education Action Plan (2021–2027) and the DigCompEdu framework, our research focuses on the competence area of teachers’ assessment practices and needs. We designed a 24-item online questionnaire for Romanian higher education teachers who are using digital technologies for assessing students’ learning, learning outcomes and practical skills. The present paper analyzes how the 60 respondents from Romanian universities evaluate their own digital competence and how they are using digital assessment, but also what training needs they have in these regards. This study, carried out in May–June 2022, therefore attempts to identify the main concerns, challenges and obstacles higher education teachers encounter when designing and using digital assessment. Our findings indicate the importance of empowering teachers through continuous learning, embracing flexible hybrid models and reimagining assessment strategies for digital literacy. The ANOVA analysis reveals variations among three groups categorized by self-reported digital competencies in their utilization of digital tools. Responsible knowledge-sharing, AI literacy and adaptive curriculum design emerged as critical imperatives. Our study advocates for a transformative shift towards AI-based pedagogy, emphasizing personalized learning that aligns with teachers’ competencies and specific assessment needs while adhering to fundamental teaching principles.
Telemedicine and Robotic Surgery: A Narrative Review to Analyze Advantages, Limitations and Future Developments
Authors: Picozzi Paola , Nocco Umberto , Puleo Greta , Labate Chiara , Cimolin Veronica
Published: December 2023

Today, the introduction and application of telemedicine are leading to a radical transformation in healthcare systems all over the world. In particular, the use of information and communication technologies (ICT) can have a positive impact on the containment of healthcare costs. The concept of telemedicine has also been applied to surgery, defining telesurgery as the use of robotic systems composed of one or more arms controlled via a console located in a remote position from the patient, where the surgeon sits and performs the surgical tasks. This revolution—made possible by technological advances in robotic systems and ICT—allows surgical care to be provided to patients in remote locations. Telesurgery, therefore, adds to the advantages of minimally invasive robotic surgery by overcoming geographical barriers and allowing patients to avoid traveling. Although there has been a rapid increase in interest and demand for telesurgery, its use in clinical practice is still rare. The purpose of this article is to review the advantages and benefits of the use of telesurgery, to identify the limitations that do not yet allow its use in current clinical practice, and to describe the existing challenges and possible solutions that are being explored by research.
A Privacy-Preserving Testing Framework for Copyright Protection of Deep Learning Models
Authors: Wei Dongying , Wang Dan , Wang Zhiheng , Ma Yingyi
Published: December 2023

Deep learning is widely utilized to acquire predictive models for mobile crowdsensing systems (MCSs). These models significantly improve the availability and performance of MCSs in real-world scenarios. However, training these models requires substantial data resources, rendering them valuable to their owners. Numerous protection schemes have been proposed to mitigate potential economic loss arising from legal issues pertaining to model copyright. Although capable of providing copyright verification, these schemes either compromise the model utility or prove ineffective against adversarial attacks. Additionally, the privacy concern surrounding copyright verification is noteworthy, given the increasing privacy concerns among model owners. This paper introduces a privacy-preserving testing framework for copyright protection (PTFCP) comprising multiple protocols. Our protocols adhere to the two-cloud server model, where the owner and the suspect transmit their model output to non-colluding servers for evaluating model similarity through the public-key cryptosystem with distributed decryption (PCDD) and garbled circuits. Additionally, we have developed novel techniques to enable secure differentiation for absolute values. Our experiments in real-world datasets demonstrate that our protocols in the PTFCP successfully operate under numerous copyright violation scenarios, such as finetuning, pruning, and extraction.
Advanced CMOS Devices and Applications
Authors: Lee Choonghyun , Zhao Yi
Published: December 2023

The persistent scaling of transistor dimensions has marked an era characterized by a fourfold increase in transistor density and a twofold boost in electrical performance every 2–3 years, effectively reducing their cost per function [...]
BOppCL: Blockchain-Enabled Opportunistic Federated Learning Applied in Intelligent Transportation Systems
Authors: Li Qiong , Wang Wennan , Zhu Yizhao , Ying Zuobin
Published: December 2023

In this paper, we present a novel blockchain-enabled approach to opportunistic federated learning (OppCL) for intelligent transportation systems (ITS). Our approach integrates blockchain with OppCL to streamline the learning of autonomous vehicle models while addressing data privacy and trust challenges. We deploy resilient countermeasures, incentivized mechanisms, and a secure gradient distribution to combat single-point failure verification attacks. Additionally, we integrate the Byzantine fault-tolerant algorithm (BFT) into the node verification component of the delegated proof of stake (DPoS) to minimize verification delays. We validate our approach through experiments on the MNIST, SVHN, and CIFAR-10 datasets, showing convergence rates and prediction accuracy comparable to traditional OppCL approaches.
Data Sharing Scheme of Smart Grid Based on Identity Condition Proxy Re-Encryption
Authors: Zhang Lihua , Yang Qianqian , Yang Yi , Chen Shihong , Gu Jinguang
Published: December 2023

A large amount of high-value data are stored in smart grid data centers, but since the resource diversity of a single data center is limited, data sharing becomes especially important in conducting an effective data mining process. However, traditional data-sharing models often use centralized schemes without authentication of the shared objects, making it difficult to establish trust relationships and ensure data privacy. This makes it difficult to break through the problem of data islands. To solve the above problems, this paper proposes a blockchain-based data-sharing incentive model for edge smart grid scenarios. First, the model uses blockchain and proxy re-encryption technology to achieve the security and traceability of the smart grid data-sharing process. Secondly, the data-sharing incentive algorithm is designed using game theory to maximize the willingness of data owners to share data. Finally, the model in this paper is compared and analyzed with other existing data-sharing models, and the designed performance test shows that the scheme in this paper has significant advantages over the other literature schemes in terms of functionality and computational overhead, and the increase in costs is not significant, and the model can meet the requirements for large-scale data sharing in edge smart grid scenarios.
A Hybrid Active Damping Strategy for Improving the Adaptability of LCL Converter in Weak Grid
Authors: Huang Jingtao , Zhao Yiju , Wang Jie , Zhang Peng
Published: December 2023

In a weak grid, the line impedance variation will cause the resonant frequency of the LCL filter to shift towards lower frequencies, thus reducing the quality of the grid-connected current and affecting the power grid stability. To solve this problem, a hybrid active damping strategy with feedforward compensation is proposed for the neutral point clamped (NPC) LCL grid-connected inverter system. In order to reshape the output conductance of the grid-connected system, suppress the resonance spikes of the LCL filter and improve the adaptability of the grid-connected system to the weak grid. A first-order low-pass filter is designed in the grid-connected current loop, and an active damping control of grid-connected current based on a first-order high-pass filter is also proposed. Compared with the conventional capacitive current active damping, no additional sensors are required, and the use of a differential is avoided, which reduces the high-frequency noise. The use of passive resistors is reduced, which reduces the power loss of the grid-connected system. In addition, a point of common coupling (PCC) voltage feedforward strategy based on a low-pass filter is designed to suppress the background higher harmonics at PCC and improve the quality of grid-connected current. In this work, the robustness of the system is analyzed when the parameters of the LCL filter change. Finally, the virtual space vector modulation strategy is used to balance the neutral voltage of the DC bus. Simulation and experimental results show that the control strategy can effectively improve the adaptability of the system to the weak power grid, improve the quality of grid-connected current, and demonstrate strong stability. The THD can be decreased by 0.2% at least, and the improvements are more significant with larger line impedance; the THD is only 2.33% even at 10 mH line impedance.
Time Domain Simulated Characterization of the Coplanar Waveguide in an On-Chip System for Millimeter Waveform Metrology
Authors: Zhao Kejia , Chen He , Li Xiangjun , Sun Jie , Li Bo , Yan Dexian , Li Lanlan
Published: December 2023

We investigate the time domain characterization of a coplanar waveguide (CPW) based on an on-chip electro-optic sampling (EOS) system for millimeter waveform metrology. The CPW is fabricated on a thin layer of low-temperature gallium arsenide (LT-GaAs), and the substrate material is GaAs. A femtosecond laser generates and detects ultrashort pulses on the CPW. The forward propagating pulses are simulated using a simplified current source for the femtosecond laser at different positions on the CPW for the first time. Then, the influences of the CPW geometry parameters on the measured pulses are discussed. The varying slot width has larger influences on the amplitude of millimeter wave pulses than the center conductor width and the pumping gap. Finally, in the frequency range of 10 GHz to 500 GHz, the transfer functions calculated by the time domain pulses are in good agreement with the transfer functions calculated by the frequency domain ports. The above results are important for improving the measurement precision of the millimeter waveform on the CPW for millimeter waveform metrology.
Development Review of Highly Efficient Sequential Power Amplifier with Extended Back-Off Range for Broadband Application
Authors: Yang Keyuan , Yang Rongxing , Zhang Pan , Shi Wei , Hu Chunyu , Shi Weimin
Published: December 2023

Similar to a Doherty power amplifier (DPA), a sequential power amplifier (SPA) is mainly composed of a main amplifier, an auxiliary amplifier and a combiner. However, SPA breaks the bandwidth limitation of the impedance inverter in the DPA, and also simplifies the design procedure. Since the main amplifier has no load modulation, it is easy for the SPA to realize broadband operation and improve the output back-off (OBO) power range. Therefore, SPA has great advantages and potential in expanding bandwidth, improving drain efficiency and expanding the back-off range of a power amplifier simultaneously. This paper describes the evolution and classification of the SPA. First, the basic theory of the SPA is reviewed. Then, some two-way SPAs using coupler and circulator as a power combiner are discussed. Thirdly, the latest popular sequential load modulated balanced amplifier is overviewed.
Microscopic Mechanism of Fe2O3-Catalyzed NO Reduction during Sludge Combustion: A Density Functional Theory Study
Authors: Li Jingkuan , Wang Yanlin , Hu Xinhua
Published: December 2023

Systematic studies on the mechanism underlying Fe2O3-catalyzed NO reduction in a reducing atmosphere during sludge combustion remain limited. In this study, density functional theory was employed to investigate the adsorption properties of NH3, CO, and NO on the α-Fe2O3(001) surface, and the mechanisms underlying the NH3 and CO reduction of NO during the adsorption process. The results demonstrated that NH3, CO, and NO chemically adsorbed on the surface Fe top site, thereby generating distinctly high adsorption energies. NO exhibited the highest adsorption energy. With regard to the catalytic mechanisms of NH3 and CO during NO reduction, the α-Fe2O3(001) surface exhibited different characteristics. NH3 reduction of NO tended to follow the Eley–Rideal (E-R) mechanism. The dissociation of -NH2NO is the rate-determining step for the NH3 reduction of NO. The presence of α-Fe2O3(001) reduced the dissociation energy barriers of NH3 and NH2NO, thereby catalyzing the reduction reaction. In contrast, NO dissociation was more challenging during the CO reduction of NO. The α-Fe2O3(001) surface reduced the dissociation barrier of the NO-NO dimer from 2.04 to 1.53 eV. Two adsorbed NO molecules first formed NO-NO dimers; these then dissociated into N2O and atomic oxygen, thereby catalyzing the reduction reaction.
Feasibility of a Plasma Furnace for Methane Pyrolysis: Hydrogen and Carbon Production
Authors: Daghagheleh Oday , Schenk Johannes , Zarl Michael Andreas , Lehner Markus , Farkas Manuel , Zheng Heng
Published: December 2023

The imperative to achieve a climate-neutral industry necessitates CO2-free alternatives for H2 production. Recent developments suggest that plasma technology holds promise in this regard. This study investigates H2 production by methane pyrolysis using a lab-scale plasma furnace, with the primary objective of achieving a high H2 yield through continuous production. The plasma furnace features a DC-transferred thermal plasma arc system. The plasma gas comprises Ar and CH4, introduced into the reaction zone through the graphite hollow cathode. The off-gas is channeled for further analysis, while the plasma arc is recorded by a camera installed on the top lid. Results showcase a high H2 yield in the range of up to 100%. A stable process is facilitated by a higher power and lower CH4 input, contributing to a higher H2 yield in the end. Conversely, an increased gas flow results in a shorter gas residence time, reducing H2 yield. The images of the plasma arc zone vividly depict the formation and growth of carbon, leading to disruptive interruptions in the arc, hence declining efficiency. The produced solid carbon exhibits high purity with a fluffy and fine structure. This paper concludes that further optimization and development of the process are essential to achieve stable continuous operation with a high utilization degree.
The Impact of Atmospheric Pressure Changes on Methane Emission from Goafs to Coal Mine Workings
Authors: Duda Adam
Published: December 2023

Increased effectiveness of methane drainage from sealed post-mining goaves in hard coal mines contributes to reduced methane emission from goaves into the mine ventilation system. This paper focuses on issues concerning the assessment of the additional amount of methane released from the goaf into mine workings during periods of atmospheric pressure drops, which can be captured with a methane drainage system. Thanks to the solutions presented in the paper, it is possible to control the efficiency of the goaf drainage system, which in turn leads to the reduction of methane emission from the mine ventilation air into Earth’s atmosphere. These solutions are of great added value for both the environment and coal mines as they reduce the costs arising from greenhouse gas emissions that are incurred by mining companies, increasing the efficiency of methane capture and its use in gas engines or district heating systems. The paper uses relationships relating to the influence of atmospheric pressure changes on the process of gas release from the goaf according to the hysteresis loop of methane release during atmospheric pressure changes, which was developed based on conducted research. The analysis and conclusions presented in this paper may facilitate the development of strategies aimed at reducing methane emissions from a mine’s ventilated air into Earth’s atmosphere.
Bibliometric Analysis of Renewable Energy Research on the Example of the Two European Countries: Insights, Challenges, and Future Prospects
Authors: Kut Paweł , Pietrucha-Urbanik Katarzyna
Published: December 2023

Renewable energy sources, encompassing wind, solar, hydro, and geothermal options, are assuming an increasingly crucial role in the global energy landscape. They present a sustainable substitute for fossil fuels, effectively reducing greenhouse gas emissions and significantly contributing to the ongoing efforts against climate change. The widespread adoption of renewable energy technologies has undergone rapid expansion on a global scale, propelled by governmental policies, technological advancements, and decreasing costs. Despite their numerous advantages, renewable energy sources encounter challenges such as intermittent energy supply, storage solutions, and integration into existing power grids. Nevertheless, with sustained investment and innovation, renewable energy sources have the potential to become the predominant energy source of the future. This article conducts a bibliometric analysis of research on renewable energy sources in Poland and Germany. The analysis is grounded in publications catalogued in the Web of Science database, spanning the years from 1990 to 2023. The investigation delves into research topics related to renewable energy sources and scrutinizes the most frequently cited publications authored by individuals from these two countries. This bibliometric analysis stands out through its unique value proposition compared to other similar studies by placing a distinctive emphasis on critical research gaps, such as energy storage, smart grid technologies, and renewable energy in transportation. Additionally, the study’s focus on the specific trajectories of Poland and Germany in renewable energy adoption, coupled with the identification of key institutions with the highest centrality index, provides unparalleled insights into the evolving landscape of sustainable energy research. The findings from this study can serve as a valuable source of information for policymakers, researchers, and other stakeholders interested in promoting the advancement and utilization of renewable energy sources.
Latin America’s Renewable Energy Impact: Climate Change and Global Economic Consequences
Authors: Moreno Javier , Medina Juan Pablo , Palma-Behnke Rodrigo
Published: December 2023

In the context of the imperative global shift towards renewable energy to mitigate climate change, Latin America (LATAM) emerges as a region of immense untapped potential. However, there is no formal quantification of the effects of developing this potential. This study analyzes the economic and climate impacts of developing renewable energy in LATAM and the Asia–Pacific region using an integrated economic and climate assessment model (IAM). The key findings are as follows. First, exporting renewable energy from LATAM and the Asia–Pacific region yields economic benefits across all regions. However, this surge in renewable energy exacerbates rather than alleviates global warming. Second, the implementation of policy measures accompanying renewable energy exports, aimed at discouraging the use of polluting energy sources, proves effective in mitigating global warming while sustaining significant economic gains globally. Third, LATAM stands to gain substantially from this development. Fourth, due to the gradual process of capital accumulation, any delays in initiating the development of renewable energy exports not only diminish economic gains during the postponement but also in the years following the commencement of exports. These results are robust to several additional simulations and sensitivity analyses. The results align with the goals of the Paris Agreement.
Coniferous Forests Aboveground Biomass Inversion in Typical Regions of China with Joint Sentinel-1 and Sentinel-2 Remote Sensing Data Supported by Different Feature Optimizing Algorithms
Authors: Zhang Fuxiang , Marino Armando , Ji Yongjie , Zhang Wangfei
Published: December 2023

Multispectral remote sensing (RS) data and synthetic aperture radar (SAR) data can provide horizontal and vertical information about forest AGB under different stand conditions. With the abundance of RS features extracted from multispectral and SAR datasets, a key point for accurate forest AGB estimation is to use suitable feature optimization inversion algorithms. In this study, feature optimization inversion algorithms including multiple linear stepwise regression (MLSR), K-nearest neighbor with fast iterative feature selection (KNN-FIFS), and random forest (RF) were explored, with a total of 93 RS features working as inversion model input for forest AGB inversion. The results showed that KNN-FIFS with the combination of Sentinel-1 and Sentinel-2 performed best at both test sites (R2 = 0.568 and RMSE = 15.05 t/hm2 for Puer and R2 = 0.511 and RMSE = 32.29 t/hm2 for Genhe). Among the three feature optimization inversion algorithms, RF performed worst for forest AGB estimation with R2 = 0.348 and RMSE = 18.06 t/hm2 for Puer and R2 = 0.345 and RMSE = 35.98 t/hm2 for Genhe using the feature combination of Sentinel-1 and Sentinel-2. The results indicated that a combination of features extracted from Sentinel-1 and Sentinel-2 can improve the inversion accuracy of forest AGB, and the KNN-FIFS algorithm has robustness and transferability in forest AGB inversions.
Study on the Characterization of Physical, Mechanical, and Mildew Resistance Properties of Enzymatically Treated Bamboo Fiber-Reinforced Polypropylene Composites
Authors: Meng Xun , Hu Fu , Liu Baoyu , Cao Yan , Xu Hailong , Li Lifen , Yu Liping
Published: December 2023

The enhancement of the physical and mechanical properties and the anti-mildew performance of wood–plastic composites are of great significance for broadening their application field. In this research, bamboo fibers underwent treatments with safe, environmentally friendly bio-enzymes. Subsequently, a bamboo–plastic composite (BPC) was developed using the modified bamboo fibers and polyethylene. The effects of biological enzymatic treatments on the surface free energy, the chemical composition of the bamboo fibers, water resistance, thermal stability, bending performance, impact performance, and anti-mildew performance of the BPC samples were analyzed. This study revealed that treating bamboo powder with bio-enzymes (xylanase, lipase, laccase, pectinase, hemicellulase, or amylase) decreased the surface free energy and the polar components of the bamboo fibers while improving the surface O/C atomic ratio of the bamboo fibers. These enzyme treatments enhanced the water resistance, bending performance, and anti-mildew performance of the BPC samples. However, on the whole, the thermal stability of the composites decreased. Particularly, after hemicellulase treatment, the composites had the lowest water absorption, reflecting a decrease of 68.25% compared to the control group. With xylanase modification, the 24 h water absorption thickness swelling rate of the composites was the lowest, reflecting a decrease of 71.27% compared to the control group. After pectinase modification, the static bending strength and elastic modulus of the prepared composites were the highest, with an increase of 15.45% and 13.31%, respectively, compared to the unmodified group. After xylanase modification, the composites exhibited the best anti-mildew effect, with an anti-mold effectiveness of 74.67%. In conclusion, bio-enzyme treatments can enhance the physical and mechanical properties and anti-mildew performance of BPCs. This research provides a theoretical foundation for the preparation of high-performance wood–plastic composites.
Classification of Tree Species in Transmission Line Corridors Based on YOLO v7
Authors: Xu Shicheng , Wang Ruirui , Shi Wei , Wang Xiaoyan
Published: December 2023

The effective control of trees in transmission line corridors is crucial to mitigate the damage that they can cause to transmission lines. Investigating trees in these corridors presents a significant challenge, particularly in classifying individual tree species. Although the current deep learning model can segment single tree species, it exhibits low recognition accuracy in areas with dense forest canopies. The detection speed is also subject to limitations. To address these challenges, this study relies on aerial multispectral images obtained from drones as the primary data source. The process begins by extracting single tree crowns and establishing a sample dataset, divided in a 9:1 ratio into training and verification sets. Subsequently, the training set undergoes iterative parameter training using the YOLO v7 network. Once optimal parameters are obtained, the system outputs information on individual tree types. The verification sample set is then employed to assess the accuracy. Simultaneously, the YOLO v4 network model is applied to the same data, and the training results of the YOLO v7 network are compared and analyzed, revealing peak accuracy of 85.42% in recognizing single tree species. This approach provides an effective solution, offering reliable data for the in-depth investigation of trees in transmission line corridors and the accurate monitoring of concealed tree hazards.
Automotive Cybersecurity Application Based on CARDIAN
Authors: Santonicola Emanuele , Adinolfi Ennio Andrea , Coppola Simone , Pascale Francesco
Published: December 2023

Nowadays, a vehicle can contain from 20 to 100 ECUs, which are responsible for ordering, controlling and monitoring all the components of the vehicle itself. Each of these units can also send and receive information to other units on the network or externally. For most vehicles, the controller area network (CAN) is the main communication protocol and system used to build their internal network. Technological development, the growing integration of devices and the numerous advances in the field of connectivity have allowed the vehicle to become connected, and the flow of information exchanged between the various ECUs (electronic control units) becomes increasingly important and varied. Furthermore, the vehicle itself is capable of exchanging information with other vehicles, with the surrounding environment and with the Internet. As shown by the CARDIAN project, this type of innovation allows the user an increasingly safe and varied driving experience, but at the same time, it introduces a series of vulnerabilities and dangers due to the connection itself. The job of making the vehicle safe therefore becomes critical. In recent years, it has been demonstrated in multiple ways how easy it is to compromise the safety of a vehicle and its passengers by injecting malicious messages into the CAN network present inside the vehicle itself. The purpose of this article is the construction of a system that, integrated within the vehicle network, is able to effectively recognize any type of intrusion and tampering.
Comparative Evaluation of Quality Attributes of the Dried Cherry Blossom Subjected to Different Drying Techniques
Authors: Suo Kui , Feng Yabin , Zhang Yang , Yang Zhenfeng , Zhou Cunshan , Chen Wei , Shi Liyu , Yan Chunfeng
Published: December 2023

Choosing an appropriate drying method is crucial for producing dried cherry blossoms with desirable quality. This study is designed to assess the effects of seven different drying methods—hot-air drying (HAD), infrared hot-air drying (IHAD), catalytic infrared drying (CID), relative humidity drying (RHD), pulsed vacuum drying (PVD), microwave vacuum drying (MVD), and vacuum freeze drying (VFD)—on drying time and various attributes of cherry blossoms, such as appearance, bioactive compounds, antioxidant activity, α-glucosidase activity, and sensory properties. Our findings revealed that MVD recorded the shortest drying time, followed by PVD, CID, IHAD, RHD, HAD, and VFD. In qualities, VFD-dried petals exhibited superior appearance, bioactive compounds, antioxidant activity, and α-glucosidase inhibitory capability; MVD-dried petals were a close second. Furthermore, the quality of tea infusions prepared from the dried petals was found to be significantly correlated with the quality of the dried petals themselves. Regarding sensory attributes, VFD-dried petals produced tea infusions most similar in flavor and taste to those made with fresh petals and received the highest sensory evaluation scores, followed by MVD, PVD, RHD, CID, IHAD, and HAD. These results could offer a scientific foundation for the mass production of high-quality dried cherry blossoms in the future.
Chemopreventive Effect of an In Vitro Digested and Fermented Plant Sterol-Enriched Wholemeal Rye Bread in Colon Cancer Cells
Authors: Miedes Diego , Cilla Antonio , Alegría Amparo
Published: December 2023

Diet is crucial for the prevention of colorectal cancer. Whole grains are the source of beneficial compounds for this, such as fiber. The enrichment of wholemeal rye bread with plant sterols (PSs) could increase its beneficial effects. This study aimed to assess the potential antiproliferative effect of this enriched food on colon adenocarcinoma cells (Caco-2) compared with a non-enriched one. After a human oral chewing, simulated semi-dynamic gastrointestinal digestion and colonic fermentation in a simgi® system, fermentation liquids (FLs) obtained were used as treatment for cells. Cytotoxicity assay showed that samples diluted 1/5 (v/v) with DMEM are not toxic for non-tumoral cells, whereas they damage tumoral cells. Samples with PS (FLPS) produced a higher chemopreventive effect (vs. blank) in MTT and apoptosis assays, as well as higher gene expression of TP53 and Casp8. Nevertheless, FL0 (without PS) produced a higher chemopreventive effect in a cell cycle and reduced glutathione and calcium assays, besides producing higher gene expression of Casp3 and lower CCND1. The distinct antiproliferative effect of both FLs is attributed to differences in PSs, short chain fatty acids (lower concentration in FLPS vs. FL0) and antioxidant compounds. These results may support wholemeal rye bread consumption as a way of reducing the risk of colorectal cancer development, although further research would be needed.
Russian Regional Differences in Allele Frequencies of CFTR Gene Variants: Genetic Monitoring of Infertile Couples
Authors: Glotov Andrey S. , Chernykh Vyacheslav B. , Solovova Olga A. , Polyakov Aleksander V. , Donnikov Maksim Yu. , Kovalenko Ludmila V. , Barbitoff Yury A. , Nasykhova Yulia A. , Lazareva Tatyana E. , Glotov Oleg S.
Published: December 2023

A male factor, commonly associated with poor semen quality, is revealed in about 50% of infertile couples. CFTR gene (Cystic Fibrosis Transmembrane Conduction Regulator) variants are one of the common genetic causes of azoospermia-related male infertility. Notably, the spectrum and frequency of pathogenic CFTR variants vary between populations and geographical regions. In this work, we made an attempt to evaluate the allele frequency (AF) of 12 common CFTR variants in infertile Russian men and healthy individuals from different districts of Russia. Because of the limited number of population-based studies on Russian individuals, we characterized the population AFs based on data from the Registry of Russian cystic fibrosis (CF) patients. In addition to the CF patient registry, we estimated the local frequencies of the same set of variants based on the results of genotyping of CF patients in local biocollections (from St. Petersburg and Yugra regions). AFs of common CFTR variants calculated based on registry and biocollection data showed good concordance with directly measured population AFs. The estimated region-specific frequencies of CFTR variants allowed us to uncover statistically significant regional differences in the frequencies of the F508del (c.1521_1523del; p.Phe508del) and CFTRdele2,3(21kb) (c.54-5940_273+10250del21kb; p.Ser18ArgfsX) variants. The data from population-based studies confirmed previous observations that F508del, CFTRdele2,3(21kb), and L138ins (c.413_415dup; p.Leu138dup)variants are the most abundant among infertile patients, and their frequencies are significantly lower in healthy individuals and should be taken into account during genetic monitoring of the reproductive health of Russian individuals.
Stakeholder Perception of the Implementation of Genetic Risk Testing for Twelve Multifactorial Diseases
Authors: Tokutomi Tomoharu , Yoshida Akiko , Fukushima Akimune , Nagami Fuji , Minoura Yuko , Sasaki Makoto
Published: December 2023

Genome-wide association studies have been employed to develop numerous risk prediction models using polygenic risk scores (PRSs) for multifactorial diseases. However, healthcare providers lack confidence in their understanding of PRS risk stratification for multifactorial diseases, which underscores the need to assess the readiness of PRSs for clinical use. To address this issue, we surveyed the perceptions of healthcare providers as stakeholders in the clinical implementation of genetic-based risk prediction for multifactorial diseases. We conducted a web-based study on the need for risk prediction based on genetic information and the appropriate timing of testing for 12 multifactorial diseases. Responses were obtained from 506 stakeholders. Positive perceptions of genetic risk testing were found for adult-onset chronic diseases. As per participant opinion, testing for adult-onset diseases should be performed after the age of 20 years, whereas testing for psychiatric and allergic disorders that manifest during childhood should be performed from birth to 19 years of age. The stakeholders recognized the need for genetic risk testing for diseases that develop in adulthood, believing that the appropriate testing time is after maturity. This study contributes to the discussion on the clinical implementation of the PRS for genetic risk prediction of multifactorial diseases.
Horror Manga: Themes and Stylistics of Japanese Horror Comics
Authors: La Marca Paolo
Published: December 2023

The objective of this contribution is to create a first, ideal mapping of a “category” of manga that has experienced and is still experiencing a very successful season. Although they are generically identified with the term “horror manga” or “horror comics,” these manga should be placed within a narrative universe so magmatic as to escape, however, any univocal representation. When we speak of Japanese horror, in fact, we tend to imagine well-defined scenarios and stereotypes, often conveyed by some novels, manga and, perhaps even more so, some films that have bewitched the West, such as The Ring (1998) and Ju-on (2000). Despite the success in Italy, too, of authors such as Umezu Kazuo (楳図かずお, b. 1936), Hino Hideshi (日野日出志, b. 1946) and Itō Junji (伊藤潤二, b. 1963), knowledge of horror manga is limited to a number of works and authors who represent, however, only a small percentage of a far more polychrome and multifaceted narrative universe. In other words, the tip of an iceberg just waiting to be brought to light. This preliminary contribution is intended to trace a path, thematic/narrative in nature, from which the route of “horror” manga can emerge in a diachronic, dynamic and evolutionary perspective. It goes without saying that, dealing with nearly seventy years of horror comic book publications, it will be impossible to make an exhaustive examination that takes into account all publishing realities, large and small. That is why the field of investigation will be narrowed down and focus exclusively on a specific historical period, from its beginnings in 1958 to the boom of the 1980s, examining the most recurrent themes and stylistic features of this time segment.
Soilless-Grown Green and Purple Basil Response to High Tunnel Photo-Selective Covering Films
Authors: Pierre Fritzner , Demchak Kathleen , Cooper Matthew , Lee Myungjin , Di Gioia Francesco
Published: December 2023

Protected cultivation systems, such as high tunnels, have gained popularity for their ability to enhance growth conditions and extend the growing season of horticultural crops. The choice of the covering film in these systems can significantly impact crop productivity and quality while influencing pest and pathogen incidence. This study aimed to evaluate the yield, physiological responses, and nutritional quality of green and purple basil grown in high tunnels using different plastic film covers. The study was conducted in Central Pennsylvania using twelve research high tunnels covered with four alternative polyethylene films with varying light diffusion and ultraviolet (UV) radiation transparency levels: TuffLite IV (TIV), KoolLite Plus (KLP), UV-transparent (UVT), and UV-opaque (UVO). Green ‘Genovese Compact Improved’ and purple ‘Amethyst Improved’ basil (Ocimum basilicum L.) cultivars were grown as test crops. The plastic covering film had a significant effect on the growth of both basil cultivars, with a significant interaction between the film and basil genotype. Green basil generally exhibited higher fresh and dry biomass compared to purple basil, and the film effect varied with the basil genotype. Leaf area, stem, leaf, and total plant biomass were influenced by the plastic cover, with UVO and UVT films resulting in higher biomass production. The plastic covering films showed varying effects on the mineral content, total chlorophyll, carotenoids, total phenolic compounds, and antioxidant activity, with UVO and UVT films often resulting in improved nutritional quality compared to traditional films. Furthermore, covering films influenced the downy mildew severity on both cultivars and the UVT film consistently limited the severity of the foliar disease in both genotypes. Overall, this study highlights the importance of selecting appropriate plastic covering films with varying levels of UV transparency in high tunnel production systems.
Advances in Stem Cell-Based Therapies in the Treatment of Osteoarthritis
Authors: Chen Ye , Cheng Rui-Juan , Wu Yinlan , Huang Deying , Li Yanhong , Liu Yi
Published: December 2023

Osteoarthritis (OA) is a chronic, degenerative joint disease presenting a significant global health threat. While current therapeutic approaches primarily target symptom relief, their efficacy in repairing joint damage remains limited. Recent research has highlighted mesenchymal stem cells (MSCs) as potential contributors to cartilage repair, anti-inflammatory modulation, and immune regulation in OA patients. Notably, MSCs from different sources and their derivatives exhibit variations in their effectiveness in treating OA. Moreover, pretreatment and gene editing techniques of MSCs can enhance their therapeutic outcomes in OA. Additionally, the combination of novel biomaterials with MSCs has shown promise in facilitating the repair of damaged cartilage. This review summarizes recent studies on the role of MSCs in the treatment of OA, delving into their advantages and exploring potential directions for development, with the aim of providing fresh insights for future research in this critical field.
Molecular Characteristics and Pathogenicity of Staphylococcus aureus Exotoxins
Authors: Zhu Zhihao , Hu Zuo , Li Shaowen , Fang Rendong , Ono Hisaya K. , Hu Dong-Liang
Published: December 2023

Staphylococcus aureus stands as one of the most pervasive pathogens given its morbidity and mortality worldwide due to its roles as an infectious agent that causes a wide variety of diseases ranging from moderately severe skin infections to fatal pneumonia and sepsis. S. aureus produces a variety of exotoxins that serve as important virulence factors in S. aureus-related infectious diseases and food poisoning in both humans and animals. For example, staphylococcal enterotoxins (SEs) produced by S. aureus induce staphylococcal foodborne poisoning; toxic shock syndrome toxin-1 (TSST-1), as a typical superantigen, induces toxic shock syndrome; hemolysins induce cell damage in erythrocytes and leukocytes; and exfoliative toxin induces staphylococcal skin scalded syndrome. Recently, Panton–Valentine leucocidin, a cytotoxin produced by community-associated methicillin-resistant S. aureus (CA-MRSA), has been reported, and new types of SEs and staphylococcal enterotoxin-like toxins (SEls) were discovered and reported successively. This review addresses the progress of and novel insights into the molecular structure, biological activities, and pathogenicity of both the classic and the newly identified exotoxins produced by S. aureus.
Metabolic Pathway Engineering Improves Dendrobine Production in Dendrobium catenatum
Authors: Zhao Meili , Zhao Yanchang , Yang Zhenyu , Ming Feng , Li Jian , Kong Demin , Wang Yu , Chen Peng , Wang Meina , Wang Zhicai
Published: December 2023

The sesquiterpene alkaloid dendrobine, widely recognized as the main active compound and a quality control standard of medicinal orchids in the Chinese Pharmacopoeia, demonstrates diverse biological functions. In this study, we engineered Dendrobium catenatum as a chassis plant for the production of dendrobine through the screening and pyramiding of key biosynthesis genes. Initially, previously predicted upstream key genes in the methyl-D-erythritol 4-phosphate (MEP) pathway for dendrobine synthesis, including 4-(Cytidine 5′-Diphospho)-2-C-Methyl-d-Erythritol Kinase (CMK), 1-Deoxy-d-Xylulose 5-Phosphate Reductoisomerase (DXR), 2-C-Methyl-d-Erythritol 4-Phosphate Cytidylyltransferase (MCT), and Strictosidine Synthase 1 (STR1), and a few downstream post-modification genes, including Cytochrome P450 94C1 (CYP94C1), Branched-Chain-Amino-Acid Aminotransferase 2 (BCAT2), and Methyltransferase-like Protein 23 (METTL23), were chosen due to their deduced roles in enhancing dendrobine production. The seven genes (SG) were then stacked and transiently expressed in the leaves of D. catenatum, resulting in a dendrobine yield that was two-fold higher compared to that of the empty vector control (EV). Further, RNA-seq analysis identified Copper Methylamine Oxidase (CMEAO) as a strong candidate with predicted functions in the post-modification processes of alkaloid biosynthesis. Overexpression of CMEAO increased dendrobine content by two-fold. Additionally, co-expression analysis of the differentially expressed genes (DEGs) by weighted gene co-expression network analysis (WGCNA) retrieved one regulatory transcription factor gene MYB61. Overexpression of MYB61 increased dendrobine levels by more than two-fold in D. catenatum. In short, this work provides an efficient strategy and prospective candidates for the genetic engineering of D. catenatum to produce dendrobine, thereby improving its medicinal value.
PET Molecular Imaging: Old Habits Do Not Die, They Only Evolve into New Applications
Authors: Calabria Ferdinando F.
Published: December 2023

The first studies on human applications of radioisotopes for the in vivo targeting of pathophysiological processes began in the late 1930s in Western Europe and the USA with 99mTc [...]