bluuebunny/crossref_metadata_2025 huggingface dataset:
Management of Terson Syndrome: Long-Term Experience in a Single Center
Authors: Minnella Angelo Maria , Maceroni Martina , Caputo Carmela Grazia , Sasso Paola , Verardi Gabriele , De Simone Danio , Ciasca Gabriele , Rizzo Stanislao , Buzzi Maria Gabriella , Della Vedova Cecilia , Formisano Rita
Published: October 2024

Background/Objectives: Terson Syndrome (TS) is a rare entity consisting of an intraocular hemorrhage secondary to subarachnoid hemorrhage (SAH) or intracerebral hemorrhage (IH). This study aimed to retrospectively describe the experience of the Ophthalmology Unit of Policlinico Gemelli, Rome, in the management of TS. Methods: Twenty-four eyes of 19 patients (10 males—53%; 9 females—47%; mean age of 44.73 ± 12.49 years) with TS who had pars plana vitrectomy between 2011 and 2024 were included. The primary outcome was the mean change in best-corrected visual acuity (BCVA) 1–3 months after surgery. The secondary outcome was the correlation of post-operative BCVA with the timing of vitrectomy (early vs. late, ≤100 or >100 days). Results: The time between diagnosis and surgery ranged from 33 to 284 days (median = 102 days, interquartile range IQR = 74–161). Baseline BCVA ranged from 6 to 50 ETDRS letters with a median of 17 letters (IQR = 15–25) and significantly increased after surgery, with a median value of 80 (IQR = 70–85). The BCVA percentage improvement had a median of 325% (IQR = 300–431%). No differences in post-operative BCVA were found between patients who underwent early or late vitrectomy. One vitrectomy was complicated by an endophthalmitis. Conclusions: Although no clear guidelines exist on managing TS, vitrectomy significantly improves BCVA, and a delay in surgical intervention does not necessarily worsen the functional outcome. However, an early vitrectomy could improve the stimuli perception, facilitating the rehabilitation process.
Ochratoxin A and Its Role in Cancer Development: A Comprehensive Review
Authors: Więckowska Magdalena , Cichon Natalia , Szelenberger Rafał , Gorniak Leslaw , Bijak Michal
Published: October 2024

Background: Ochratoxin A (OTA) is widely recognized for its broad spectrum of toxic effects and is classified as a potential human carcinogen, placed in group 2B by the International Agency for Research on Cancer (IARC). Its presence in food and beverages poses a significant health hazard. Extensive research has documented the efficient absorption and distribution of OTA throughout the body via the bloodstream and tissues, underscoring the associated health risk. Additionally, ongoing studies aim to clarify the link between OTA exposure and carcinogenesis. The obtained results indicate a strong correlation between OTA and renal cell carcinoma (RCC), with potential associations with other malignancies, including hepatocellular carcinoma (HCC), gallbladder cancer (GBC), and squamous cell carcinoma (SCC). OTA is implicated in oxidative stress, lipid peroxidation, apoptosis, DNA damage, adduct formation, miRNA deregulation, and distributions in the cell cycle, all of which may contribute to carcinogenesis. Conclusions: Despite significant research efforts, the topic remains inexhaustible and requires further investigation. The obtained results do not yield definitive conclusions, potentially due to species-specific differences in the animal models used and challenges in extrapolating these results to humans. In our review, we delve deeper into the potential mechanisms underlying OTA-induced carcinogenesis and discuss existing limitations, providing directions for future research.
Potential Therapeutic Targets for the Treatment of HPV-Associated Malignancies
Authors: Lu Ziyao , Haghollahi Shahab , Afzal Muhammad
Published: October 2024

This review article aims to summarize broadly recent developments in the treatment of HPV-associated cancers, including cervical cancer and head and neck squamous cell carcinoma. Relatively new treatments targeting the key HPV E6 and E7 oncoproteins, including gene editing with TALENs and CRISPR/Cas9, are discussed. Given the increased immunogenicity of HPV-related diseases, other therapies such as PRR agonists, adoptive cell transfer, and tumor vaccines are reaching the clinical trial phase. Due to the mechanism, immunogenicity, and reversibility of HPV carcinogenesis, HPV-related cancers present unique targets for current and future therapies.
De-Escalating Treatment Strategies for Patients with Human Epidermal Growth Factor Receptor-2 (HER2)-Positive Early-Stage Breast Cancer
Authors: Abdel-Razeq Hikmat
Published: October 2024

Almost one-fifth of breast cancer cases express Human Epidermal Growth Factor-2 (HER2), and such expression is associated with highly proliferative tumors and poor prognosis. The introduction of anti-HER2 therapies has dramatically changed the natural course of this aggressive subtype of breast cancer. However, anti-HER2 therapy can be associated with substantial toxicities, mostly cardiac, and high cost. Over the past few years, there has been growing interest in de-escalation of anti-HER2 therapies to minimize adverse events and healthcare costs, while maintaining the efficacy of treatment. Data from clinical observations and single-arm studies have eluted to the minimal impact of anti-HER2 therapy in low-risk patients, like those with node-negative and small tumors. Though single-arm, the APT trial, in which patients with node-negative, small tumors received single-agent paclitaxel for 12 cycles plus trastuzumab for 1 year, was a practice-changing study. Several other recently published studies, like the PERSEPHONE trial, have shown more convincing data that 6 months of trastuzumab is not inferior to 12 months, in terms of disease-free survival (DFS), suggesting that de-escalating strategies with shorter treatment may be appropriate for some low-risk patients. Other de-escalating strategies involved an adaptive, response-directed approach, and personalized therapy that depends on tumor genomic profiling.
The Importance of Patient Systemic Health Status in High-Grade Chondrosarcoma Prognosis: A National Multicenter Study
Authors: van Praag Veroniek M. , Molenaar Dominique , Tendijck Guus A. H. , Schaap Gerard R. , Jutte Paul C. , van der Geest Ingrid C. M. , Fiocco Marta , van de Sande Michiel A. J.
Published: October 2024

Background: Due to the relatively advanced age and high mortality rate of patients with high-grade chondrosarcoma (CS), it is important to holistically assess patient- and tumor characteristics in multidisciplinary team and shared decision-making with regard to treatment options. While current prognostic models include multiple tumor and treatment characteristics, the only patient characteristics that are commonly included are age and gender. Based on clinical experience, we believe that factors related to patient preoperative systemic health status such as the American Society of Anesthesiologists (ASA) score may be equally important prognostic factors for overall survival (OS). Methods: A retrospective nationwide cohort study was identified from four specialized bone sarcoma centers in The Netherlands. Patients with a primary CS grade II, III, and dedifferentiated CS were eligible. Prognostic factors including age at presentation, gender, ASA score, CVD, tobacco use, BMI, histological tumor grade, tumor size, pathological fracture, presentation after unplanned excision, type of surgery and surgical margin were evaluated. The outcome measure was OS at the time of surgery. The Kaplan–Meier methodology was employed to estimate OS; a log-rank test was used to assess the difference in survival. To study the impact of prognostic factors on OS, a multivariate Cox proportional hazard regression model was estimated. Results: In total, 249 patients were eligible for this study, and 89 were deceased at the end of follow-up. In multivariate analysis, histological grade (HR 2.247, 95% CI 1.334–3.783), ASA score III (HR 2.615, 95% CI 1.145–5.976, vs. ASA I), and age per year (HR: 1.025, 95% CI 1.004–1.045) were negatively associated with OS. No association was found between tobacco use, BMI, gender or cardiovascular disease and OS in this cohort. Pathological fracture and tumor size were only associated with OS in univariate analysis. Conclusions: This multicenter study is the first on sarcomas to include ASA in a prognostic model. Results show that ASA score as a proxy for patients’ systemic health status should be included when providing a prognosis for patients with a high-grade primary CS, besides the conventional risk factors such as tumor grade and age. Specifically, severe systemic disease (ASA score III) is a strong negative predictor. Conversely, we found no difference in OS between ASA scores I and II. These findings aid multidisciplinary team and shared decision-making with regard to these complex sarcoma patients that often require life-changing surgeries. Level of Evidence: Prognostic level III. See the instructions for authors for the complete description of levels of evidence.
The Versatile Role of Peroxisome Proliferator-Activated Receptors in Immune-Mediated Intestinal Diseases
Authors: Posta Edit , Fekete Istvan , Varkonyi Istvan , Zold Eva , Barta Zsolt
Published: October 2024

Peroxisome proliferator-activated receptors (PPARs) are nuclear receptors that sense lipophilic molecules and act as transcription factors to regulate target genes. PPARs have been implicated in the regulation of innate immunity, glucose and lipid metabolism, cell proliferation, wound healing, and fibrotic processes. Some synthetic PPAR ligands are promising molecules for the treatment of inflammatory and fibrotic processes in immune-mediated intestinal diseases. Some of these are currently undergoing or have previously undergone clinical trials. Dietary PPAR ligands and changes in microbiota composition could modulate PPARs’ activation to reduce inflammatory responses in these immune-mediated diseases, based on animal models and clinical trials. This narrative review aims to summarize the role of PPARs in immune-mediated bowel diseases and their potential therapeutic use.
Phase Separation Mediated Sub-Nuclear Compartmentalization of Androgen Receptors
Authors: Yavuz Selçuk , Abraham Tsion E. , Houtsmuller Adriaan B. , van Royen Martin E.
Published: October 2024

The androgen receptor (AR), a member of the nuclear steroid hormone receptor family of transcription factors, plays a crucial role not only in the development of the male phenotype but also in the development and growth of prostate cancer. While AR structure and AR interactions with coregulators and chromatin have been studied in detail, improving our understanding of AR function in gene transcription regulation, the spatio-temporal organization and the role of microscopically discernible AR foci in the nucleus are still underexplored. This review delves into the molecular mechanisms underlying AR foci formation, focusing on liquid–liquid phase separation and its role in spatially organizing ARs and their binding partners within the nucleus at transcription sites, as well as the influence of 3D-genome organization on AR-mediated gene transcription.
Clinical Utility of a Multiplex PCR Panel (BioFire Joint Infection®) in the Adjustment of Empiric Antimicrobial Therapy: Experience in Pediatric Osteoarticular Infections
Authors: Udaondo Clara , Alcobendas Rueda Rosa María , Diaz-Delgado Blanca , Remesal Agustin , Quiles-Melero Inmaculada , Calvo Cristina
Published: October 2024

Background/Objectives: This study aims to evaluate the impact of the PCR multiplex panel (BioFire JI®) on the diagnosis and management of pediatric osteoarticular infections. Methods: This retrospective study analyzed data from pediatric patients diagnosed with osteoarticular infections between January 2023 and April 2024. The effectiveness of the PCR multiplex panel in identifying pathogens was compared with traditional culture methods. Results: In total, 50 patients were identified (66.6% male, 74% under 3 years of age). They were diagnosed as follows: septic arthritis in 46%, osteomyelitis in 26%, and septic osteoarthritis in 22%. An identifiable agent was isolated by conventional culture in 22 cases (44%). Kingella kingae was the predominant pathogen identified, accounting for 50% of cases (11/22), followed by Staphylococcus aureus (9/22). The BioFire JI® Panel PCR demonstrated a sensitivity of 93%, with a specificity of 63% when evaluated against synovial fluid culture as the reference standard. The panel identified seven additional pathogens not detected by conventional culture methods: 2/9 MSSA (22%), 1/1 S. pyogenes (100%), and 4/11 K. kingae (37%), increasing the yield by 14%. The rapid identification of pathogens facilitated timely and targeted therapeutic interventions. Conclusions: The PCR multiplex panel (BioFire JI®) improved the diagnosis of pediatric osteoarticular infections.
Obstacles to an Effective Transition to Adult Services for Patients with Hirschsprung Disease
Authors: Davidson Joseph R. , Curry Joe
Published: October 2024

A growing number of patients with Hirschsprung disease are reaching adulthood, of whom a significant minority will require ongoing input from healthcare providers. In order to ensure patients receive the best care possible, it is essential to transition patients appropriately to adult services. This article describes the unmet need and some of the obstacles to this process and explores potential solutions, drawing on model examples for transitional care.
The Experiences of Motor Skill Development in Children with Autism Spectrum Disorder (ASD) Reflected through Parental Responses
Authors: Müller Anetta , Bába Éva Bácsné , Židek Peter , Lengyel Attila , Lakó Judit Herpainé , Laoues-Czimbalmos Nóra , Molnár Anikó , Boda Eszter
Published: October 2024

Background/Objectives: Understanding movement development in children with autism spectrum disorder (ASD) is critical for creating effective intervention strategies. This study aims to explore parental perspectives on the movement development of children with ASD, focusing on identifying common challenges and successful strategies. The objective is to analyze the experiences of parents to highlight the most effective approaches to support motor, communication, and social skills development in these children. Methods: Using a qualitative approach, we conducted in-depth interviews with parents of children with ASD. The data were analyzed using open and selective coding to identify key themes related to movement development challenges and strategies. The analysis included cross-referencing with the existing literature to support parental insights. Results: This study identified several key themes, including communication barriers, social interaction difficulties, and the importance of personalized movement programs. Parents reported significant challenges in understanding and addressing their children’s movement needs, particularly in group settings. However, activities such as water programs, music and dance, and animal-assisted therapies were found to be highly engaging. Motivation was a critical factor, with rewards and active parental involvement enhancing participation. Conclusions: This study highlights the crucial role of a supportive environment, including professional guidance and family support, in the success of movement development programs.
Environmental Impact and Life Cycle Cost Analysis of Superhydrophobic Coatings for Anti-Icing Applications
Authors: Borgaonkar Avinash , McNamara Greg
Published: October 2024

Superhydrophobic coatings have great potential to mitigate ice accumulation and ice adhesion issues due to their outstanding water-repellent and self-cleaning characteristics. In the present study, polyurethane elastomer (PUE) is considered a superhydrophobic coating material for anti-icing applications. The life cycle assessment (LCA) of bare aluminum and PUE-coated systems is performed using the Centrum voor Milieukunde Leiden methodology. The cradle-to-gate LCA scope is implemented to evaluate and compare the total environmental impact. This study revealed that the PUE-coated system exhibited a significant reduction in total environmental impact compared to bare aluminum. The levelized cost of coating analysis demonstrates that the PUE coating system is more economical than bare aluminum surfaces. There is scope to reduce the environmental impact associated with PUE-coated systems using bio-based and less toxic chemicals/solvents.
Controlling Directional Liquid Transfer over a Ratchet-like Surface with Oriented Open-Wedges
Authors: Meng Qing’an , Zhou Junjie , Pang Jie , Qiu Wenli , Wang Xiaopeng , Qin Wenfeng
Published: October 2024

Directed transfer of liquids is widely used as an important mass transfer strategy in the nature biology, industry, agriculture, and medical fields. Based on the bionic concept, researchers have constructed various forms of surface structures to realize controlled transport of liquids. However, current methods for preparing surfaces with directional liquid transport often suffer from cumbersome preparation processes, complexity of the prepared structures, and high costs. In this paper, we prepared a topological structure surface capable of precisely controlling liquid transport by a facile method. By utilizing 3D printing technology, we designed and fabricated a wedge-shaped surface with a periodic tilting scale arrangement. We accomplished the precise regulation of liquid transport on the surface of the structure, which not only realized the bi-directional transport of liquid anisotropically to the uni-directional transport on the surface but also achieved the precise regulation of the distance and speed of liquid transport through adjusting the opening angle formed by the open-wedges. We expect that the as-prepared wedge-shaped surface will provide a facile and efficient strategy for directional liquid transport.
Correction: Končan Volmajer et al. Electrochemical Impedance Spectroscopy Study of Waterborne Epoxy Coating Film Formation. Coatings 2019, 9, 254
Authors: Končan Volmajer Natalija , Steinbücher Miha , Berce Peter , Venturini Peter , Gaberšček Miran
Published: October 2024

In the published version [...]
Comparative Study of Deflector Configurations under Variable Vertical Angle of Incidence and Wind Speed through Transient 3D CFD Modeling of Savonius Turbine
Authors: Aboujaoude Hady , Polidori Guillaume , Beaumont Fabien , Murer Sébastien , Toumi Yessine , Bogard Fabien
Published: October 2024

The demand for clean and sustainable energy has led to the exploration of innovative technologies for renewable energy generation. The Savonius turbine has emerged as a promising solution for harnessing wind energy in urban environments due to its unique design, simplicity, structural stability, and ability to capture wind energy from any direction. However, the efficiency of Savonius turbines poses a challenge that affects their overall performance. Extensive research efforts have been dedicated to enhancing their efficiency and optimizing their performance in urban settings. For instance, an axisymmetric omnidirectional deflector (AOD) was introduced to improve performance in all wind directions. Despite these advancements, the effect of wind incident angles on Savonius turbine performance has not been thoroughly investigated. This study aims to fill this knowledge gap by examining the performance of standard Savonius configurations (STD) compared to the basic configuration of the deflector (AOD1) and to the optimized one (AOD2) under different wind incident angles and wind speeds. One key finding was the consistent superior performance of this AOD2 configuration across all incident angles and wind speeds. It consistently outperformed the other configurations, demonstrating its potential as an optimized configuration for wind turbine applications. For instance, at an incident angle of 0°, the power coefficient of the configuration of AOD2 was 61% more than the STD configuration. This ratio rose to 88% at an incident angle of 20° and 125% at an incident angle of 40°.
Rainfall Erosivity over Brazil: A Large National Database
Authors: Oliveira-Roza Mariza P. , Cecílio Roberto A. , Teixeira David B. S. , Moreira Michel C. , Almeida André Q. , Xavier Alexandre C. , Zanetti Sidney S.
Published: October 2024

Rainfall erosivity (RE) represents the potential of rainfall to cause soil erosion, and understanding its impact is essential for the adoption of soil and water conservation practices. Although several studies have estimated RE for Brazil, currently, no single reliable and easily accessible database exists for the country. To fill this gap, this work aimed to review the research and generate a rainfall erosivity database for Brazil. Data were gathered from studies that determined rainfall erosivity from observed rainfall records and synthetic rainfall series. Monthly and annual rainfall erosivity values were organized on a spreadsheet and in the shapefile format. In total, 54 studies from 1990 to 2023 were analyzed, resulting in the compilation of 5516 erosivity values for Brazil, of which 6.3% were pluviographic, and 93.7% were synthetic. The regions with the highest availability of information were the Northeast (35.6%), Southeast (30.1%), South (19.9%), Central-West (7.7%), and North (6.7%). The database, which can be accessed on the Mendeley Data platform, can aid professionals and researchers in adopting public policies and carrying out studies aimed at environmental conservation and management basin development.
Comparative Value of CRP and FCP for Endoscopic and Histologic Remissions in Ulcerative Colitis
Authors: Bakkaloglu Oguz Kagan , Sen Gozde , Kepil Nuray , Eskazan Tugce , Kurt Enes Ali , Onal Ugur , Candan Selcuk , Balamir Melek , Hatemi Ibrahim , Erzin Yusuf , Celik Aykut Ferhat
Published: October 2024

Aim: We have previously shown that CRP < 2.9 mg/L is a better predictor of endoscopic remission (ER) than CRP < 5 mg/L in ulcerative colitis (UC). Here, we prospectively evaluate CRP and FCP cut-offs and compare them in predicting ER and histological remission (HR) in UC. Method: One hundred thirty-five steroid-free UC patients were evaluated prospectively. ER was defined as Mayo endoscopic sub-score 0–1. In colonoscopy, the colon was evaluated as seven segments: rectum, sigmoid, descending, proximal-transverse, distal-transverse, ascending colon, and cecum. Two biopsies of each segment were evaluated for histological inflammation and graded using the Nancy and Geboes scores. All segment biopsies with Nancy < 1 and Geboes < 2 were defined as HR. Results: The optimum cut-off values for FCP and CRP were 120 μg/g and 2.75 mg/L for ER, respectively. AUC values of FCP and CRP were similar for ER and Mayo-0 disease in ROC analysis. CRP and FCP also had similar performances with these cut-offs regarding ER. While CRP was a predictor to assess the extensiveness of active UC, FCP was not. ROC analysis showed no difference between CRP and FCP regarding HR. Cut-off values for HR were 2.1 mg/L and 55 μg/g for CRP and FCP, respectively. CRP and FCP, in combination with the mentioned cut-off values, detected ER and HR in nearly 2/3 and ½ of the patients, respectively, with high specificity. Conclusions: Reappraised CRP (ER: 2.75 mg/L, HR: 2.1 mg/L) has as much diagnostic contribution as relevant FCP in predicting ER and HR and contributes more to revealing the proximal extension in active colitis compared to FCP. Relevant CRP and FCP combinations may improve the prediction rates.
The Effectiveness of a MOOC as a Form of Professional Learning: An Examination of an Adolescent Learner Social and Emotional Well-Being Course
Authors: Pendergast Donna , Main Katherine , McManus Sarah
Published: October 2024

Massive Open Online Courses (MOOCs) provide borderless opportunities to engage with content and ideas, with prospective participants from around the globe being able to easily register. The course featured in this study focused on the social and emotional well-being of adolescents, selected because of a recognized need for professional learning related to this topic. It was purposely designed for delivery as a MOOC and was designed as a 6h program around four topics to be completed over two weeks in asynchronous mode. It was delivered seven times from 2019 to 2023, with 32,969 individuals enrolled across these deliveries. The effectiveness of engaging in the course for professional learning purposes is of particular interest to this study. To that end, a convergent mixed methods study was conducted. First, quantitative and qualitative survey data collected at various course stages were examined to reveal the demographic characteristics of participants and their experiences in the course using data from surveys and comments about their experiences. The findings revealed, among other factors, that 65% were female, with just under half (47%) aged 45 years or less, nearly half (44%) held a bachelor’s degree as their highest level of qualification, and 48% were employed within the teaching and education sector. The most active learners were from Europe (48%) and Asia (27%), with active learners from a total of 178 countries. The course has a high course retention index, with 51% of learners completing 51% of the course and 8383 learners completing 90% or more of the course. The qualitative findings reveal the strongly positive experiences reported by the active participants. Secondly, we examined the effectiveness of the MOOC for participants’ professional learning needs by assessing the course using a framework with ten domains related to its core design features, modified for use by the course designers as a self-reflective tool. We found that the domains that scored the lowest were collaboration, interactivity, and, to a lesser extent, pedagogy. The study’s limitations include the incomplete data provided as part of the MOOC protocols, and the use of a self-reflection tool, which may inadvertently incorporate bias. This study points to these gaps in the data, including the need to access longitudinal data that go beyond a focus on the design of courses to extend to the impact and outcomes of the experience.
Degradation-Guided Multi-Modal Fusion Network for Depth Map Super-Resolution
Authors: Han Lu , Wang Xinghu , Zhou Fuhui , Wu Diansheng
Published: October 2024

Depth map super-resolution (DSR) is a technique aimed at restoring high-resolution (HR) depth maps from low-resolution (LR) depth maps. In this process, color images are commonly used as guidance to enhance the restoration procedure. However, the intricate degradation of LR depth poses a challenge, and previous image-guided DSR approaches, which implicitly model the degradation in the spatial domain, often fall short of producing satisfactory results. To address this challenge, we propose a novel approach called the Degradation-Guided Multi-modal Fusion Network (DMFNet). DMFNet explicitly characterizes the degradation and incorporates multi-modal fusion in both spatial and frequency domains to improve the depth quality. Specifically, we first introduce the deep degradation regularization loss function, which enables the model to learn the explicit degradation from the LR depth maps. Simultaneously, DMFNet converts the color images and depth maps into spectrum representations to provide comprehensive multi-domain guidance. Consequently, we present the multi-modal fusion block to restore the depth maps by leveraging both the RGB-D spectrum representations and the depth degradation. Extensive experiments demonstrate that DMFNet achieves state-of-the-art (SoTA) performance on four benchmarks, namely the NYU-v2, Middlebury, Lu, and RGB-D-D datasets.
An Innovative Path Planning Algorithm for Complex Obstacle Environments with Adaptive Obstacle Density Adjustment: AODA-PF-RRT*
Authors: Zhao Wei , Tan Ao , Ren Congcong
Published: October 2024

To address the limitations of low node utilization and inadequate adaptability in complex environments encountered by Rapidly-exploring Random Tree (RRT) algorithms during the expansion phase, this study presents an enhanced path planning algorithm—AODA-PF-RRT* (Adaptive Obstacle Density Adjustment-PF-RRT*). The proposed algorithm implements a random extension strategy for nodes that fail collision detection, thereby improving node efficiency. Furthermore, it dynamically partitions the area surrounding sampling points and calculates local obstacle density in real time. By leveraging this density information, the algorithm flexibly adjusts both the number of expansion points and the dichotomy threshold, significantly enhancing its responsiveness to environmental changes. We rigorously demonstrate the algorithm’s probabilistic completeness and asymptotic optimality. Simulation and benchmarking results demonstrate that the AODA-PF-RRT* algorithm not only generates smooth and high-quality paths compared to existing algorithms but also maintains low computational costs in complex environments, showcasing exceptional stability and robustness.
Research on Large Hybrid Electric Aircraft Based on Battery and Turbine-Electric
Authors: Hui Yannian , Li Hongliang , Chai Jianyun , Kang Yuanli
Published: October 2024

Hybrid electric aircraft use traditional engine and electric propulsion combinations to optimize aircraft architecture, improve propulsion efficiency, and reduce fuel consumption. As a new technology, the fuel and energy consumption calculation of hybrid electric aircraft is more complicated than traditional aircraft due to the usage of different energy forms. The purpose of this paper is to develop the analytical method for fuel and energy consumption for hybrid electric aircraft. This paper summarizes the working principle of hybrid electric aircraft, including the system architecture and power conversion mechanism. The calculation of fuel and energy consumption for hybrid electric aircraft is carried out in detail. In order to evaluate large hybrid electric aircraft, the architecture, based on energy flow, is established, and turbofan engine, electrical system, electric duct fan, and aerodynamic model characteristics are established. With a single-aisle aircraft as an example, the fuel and energy consumption under the 800 nautical mile range is performed. It shows that fuel consumption can be reduced by 10% and energy consumption by 4.7% compared with a traditional aircraft. The effects of different range and battery ratios are analyzed. The payload range for the hybrid electric aircraft is analyzed. The results show that even though the hybrid electric aircraft reduces the payload and range, it can significantly reduce fuel and energy consumption.
Revolutionizing Ocean Cleanup: A Portuguese Case Study with Unmanned Vehicles Fighting Spills
Authors: Pessanha Santos Nuno , Moura Ricardo , Lourenço Antunes Teresa , Lobo Victor
Published: October 2024

It is of the utmost importance for every country to monitor and control maritime pollution within its exclusive economic zone (EEZ). The European Maritime Safety Agency (EMSA) has developed and implemented the CleanSeaNet (CSN) satellite monitoring system to aid in the surveillance and control of hydrocarbon and hazardous substance spills in the ocean. This system’s primary objective is to alert European Union (EU) coastal states to potential spills within their EEZs, enabling them to take the necessary legal and operational actions. To reduce operational costs and increase response capability, the feasibility of implementing a national network (NN) of unmanned vehicles (UVs), both surface and aerial, was explored using a Portuguese case study. The following approach and analysis can be easily generalized to other case studies, bringing essential knowledge to the field. Analyzing oil spill alert events in the Portuguese EEZ between 2017 and 2021 and performing a strengths, weaknesses, opportunities, and threats (SWOT) analysis, essential information has been proposed for the optimal location of an NN of UVs. The study results demonstrate that integrating spill alerts at sea with UVs may significantly improve response time, costs, and personnel involvement, making maritime pollution combat actions more effective.
Higher Stability of Soil Organic Matter near the Permafrost Table in a Peatland of Northeast China
Authors: Zou Siyuan , Zhang Jiawei , Wu Xiaodong , Song Liquan , Liu Qilong , Xie Ruifeng , Zang Shuying
Published: October 2024

Understanding the stability of soil organic matter (SOM) is essential for making accurate predictions regarding carbon release rates. However, there is limited information on the role of chemical composition of dissolved organic matter (DOM) in SOM stability. To address this gap, the peatland soil profile in the discontinuous frozen soil region of Northeast China was selected as the focus of this research, and a comprehensive analysis was conducted on the differences between the molecular composition of DOM and the stability of SOM. The results indicate a significant carbon accumulation phenomenon near the permafrost table. Through analyses using TG-50, δ13C, and δ15N, it was determined that SOM near the permafrost table exhibits high stability, whereas SOM within the permafrost layer demonstrates poor stability. Investigations utilizing UV-vis, 3D-EEM, FT-IR, and 1H-NMR technologies revealed that DOM near the permafrost table is of high quality and highly aromatic. Furthermore, compared to near the permafrost table, humic acid materials in the permafrost layer decreased by 17%, while protein materials increased by 17%. These findings offer a novel perspective on the understanding of SOM stability in peatland soil profiles within discontinuous permafrost regions.
Leaf Moisture Content Detection Method Based on UHF RFID and Hyperdimensional Computing
Authors: Wu Yin , Hou Ziyang , Liu Yanyi , Liu Wenbo
Published: October 2024

Leaf moisture content (LMC) directly affects the life activities of plants and becomes a key factor to evaluate the growth status of plants. To explore a low-cost, real-time, rapid, and accurate method for LMC detection, this paper employs Ultra-High-Frequency Radio-Frequency Identification (UHF RFID) sensor technology. By reading the tag information attached to the back of leaves, the parameters of the RSSI, phase, and reading distance of the tags are collected. In this paper, we propose an enhanced Multi-Feature Fusion algorithm based on Hyperdimensional Computing (HDC) called MFFHDC. In our proposed method, the real-valued features are encoded into hypervectors and then combined with Multi-Linear Discriminant Analysis (MLDA) for the feature fusion of different features. Finally, a retraining method based on Cosine Annealing with Warm Restarts (CAWR) is proposed to improve the model and further enhance its accuracy. Tests conducted in the experimental forest show that the proposed mechanism can effectively predict the LMC. The model’s Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Coefficient of Determination (R2) reached 0.0195, 0.0255, and 0.9131, respectively. Additionally, comparisons with other methods demonstrate that the presented system performs excellently in most aspects. As a lightweight model, this study shows great practical application value, particularly for the limited data volume and low hardware costs.
Advanced Optimization Techniques for Federated Learning on Non-IID Data
Authors: Efthymiadis Filippos , Karras Aristeidis , Karras Christos , Sioutas Spyros
Published: October 2024

Federated learning enables model training on multiple clients locally, without the need to transfer their data to a central server, thus ensuring data privacy. In this paper, we investigate the impact of Non-Independent and Identically Distributed (non-IID) data on the performance of federated training, where we find a reduction in accuracy of up to 29% for neural networks trained in environments with skewed non-IID data. Two optimization strategies are presented to address this issue. The first strategy focuses on applying a cyclical learning rate to determine the learning rate during federated training, while the second strategy develops a sharing and pre-training method on augmented data in order to improve the efficiency of the algorithm in the case of non-IID data. By combining these two methods, experiments show that the accuracy on the CIFAR-10 dataset increased by about 36% while achieving faster convergence by reducing the number of required communication rounds by 5.33 times. The proposed techniques lead to improved accuracy and faster model convergence, thus representing a significant advance in the field of federated learning and facilitating its application to real-world scenarios.
Healthiness and Safety of Smart Environments through Edge Intelligence and Internet of Things Technologies
Authors: Islam Rafiq Ul , Mazzei Pasquale , Savaglio Claudio
Published: October 2024

Smart environments exploit rising technologies like Internet of Things (IoT) and edge intelligence (EI) to achieve unseen effectiveness and efficiency in every tasks, including air sanitization. The latter represents a key preventative measure–made even more evident by the COVID-19 pandemic–to significantly reduce disease transmission and create healthier and safer indoor spaces, for the sake of its occupants. Therefore, in this paper, we present an IoT-based system aimed at the continuous monitoring of the air quality and, through EI techniques, at the proactively activation of ozone lamps, while ensuring safety in sanitization. Indeed, these devices ensure extreme effectiveness in killing viruses and bacteria but, due to ozone toxicity, they must be properly controlled with advanced technologies for preventing occupants from dangerous exposition as well as for ensuring system reliability, operational efficiency, and regulatory compliance.
Purchase Intention of Healthy Foods: The Determinant Role of Brand Image in the Market of a Developing Country
Authors: García-Salirrosas Elizabeth Emperatriz , Escobar-Farfán Manuel , Veas-González Iván , Esponda-Perez Jorge Alberto , Gallardo-Canales Rodrigo , Ruiz-Andia Rodrigo , Fernandez-Daza Virginia Mercedes , Zabalaga-Davila Rosa Fabiana
Published: October 2024

In the current consumer context, the trend towards a healthy lifestyle has significantly increased the demand for healthy foods. This study aims to identify the relationship between the brand image (BI) and purchase intention (PI) of these products and how variables such as perceived brand quality (BPQ) and brand satisfaction (BS) influence brand trust (BT) and brand loyalty (BL) in this relationship. The methodology includes a quantitative approach, using non-probability convenience sampling. Using an online survey, data were collected from 637 consumers. Analyses were performed using structural equation modeling (SEM-PLS). The results show no significant correlation between BI and PI, but BI significantly impacts BPQ, BS, BT, and BL. Furthermore, BPQ positively influences BS, BT, and BL, but it does not have a direct influence on PI. The findings suggest that a positive brand image satisfies consumers and generates long-term trust and loyalty. However, perceived quality does not always translate into purchase intention due to various barriers. Practical implications highlight the importance of building a strong and positive brand image to encourage demand for healthy products.
Ultrasound as a Physical Elicitor to Improve Texture in Blueberry Fruit: Physiological Indicator and Transcriptomic Analysis
Authors: Hou Yuanyuan , Ge Yinggang , Mulati Ailikemu , Yang Yuting , Wang Jiayi
Published: October 2024

Ultrasound (US) washing has been verified to improve the quality of postharvest blueberry fruit. However, its physiological and molecular mechanisms remain largely unknown. In the present study, an US with a frequency of 25 kHz and a power density of 400 W for 2 min was performed to investigate its role in impacting the quality of blueberries. The results showed that US washing improved the quality of blueberries, with a higher firmness and lignin content (p < 0.05) than the control. Moreover, US washing inhibited the levels of superoxide radical (O2·−) production rate and hydrogen peroxide (H2O2) content while stimulating the superoxide dismutase (SOD) and catalase (CAT) activities of the blueberry fruit. Transcriptomic analysis screened 163 differentially expressed genes (DEGs), and the key DEGs were mainly enriched in phenylpropanoid biosynthesis, flavonoid biosynthesis, and plant–pathogen interaction pathways. Furthermore, the transcription factors and the structural genes associated with lignin biosynthesis were also identified from the DEGs. More importantly, the correlation analysis revealed that firmness and lignin content were positively correlated with the expression of C4H, COMT1, and POD52 in blueberry fruit, indicating that these genes might be involved in the regulation of US-mediated lignin synthesis. The findings provide new insight into the US-enhanced quality of blueberry fruits.
Quantitative Prediction of Acid Value of Camellia Seed Oil Based on Hyperspectral Imaging Technology Fusing Spectral and Image Features
Authors: Gu Yuqi , Shi Lifang , Wu Jianhua , Hu Sheng , Shang Yuqian , Hassan Muhammad , Zhao Chao
Published: October 2024

Acid value (AV) serves as an important indicator to assess the quality of oil, which can be used to judge the deterioration of edible oil. In order to realize the quantitative prediction of the AV of camellia seed oil, which was made from camellia oleifolia, hyperspectral data of 168 camellia seed oil samples were collected using a hyperspectral imaging system, which were related to their AV content measured via classical chemical titration. On the basis of hyperspectral full wavelengths, characteristic wavelengths, and fusing spectral and image features, the quantitative prediction AV models for camellia seed oil were established. The results demonstrating the 2Der-SPA-GLCM-PLSR model fusing spectral and image features stood out as the optimal choices for the AV prediction of camellia seed oil, with the correlation coefficient of calibration set (Rc2) and the correlation coefficient of prediction set (Rp2) at 0.9698 and 0.9581, respectively. Compared with those of 2Der-SPA-PLSR, the Rc2 and Rp2 were improved by 2.11% and 2.57%, respectively. Compared with those of 2Der-PLSR, the Rc2 and Rp2 were improved by 5.02% and 5.31%, respectively. Compared with the model based on original spectrum, the Rc2 and Rp2 were improved by 32.63% and 40.11%, respectively. After spectral preprocessing, characteristic wavelength selection, and fusing spectral and image features, the correlation coefficient of the optimal AV prediction model was continuously improved, while the root mean square error was continuously decreased. The research demonstrated that hyperspectral imaging technology could precisely and quantitatively predict the AV of camellia seed oil and also provide a new environmental method for detecting the AV of other edible oils, which is conducive to sustainable development.
Optimization and Preparation of Ultrasound-Treated Whey Protein Isolate Pickering Emulsions
Authors: Li Nan , Zhang Xiaotong , Zhu Juan , Li Yinta , Liu Rong , Zhang Peng , Wei Suzhen , Fu Xuejun , Peng Xinyan
Published: October 2024

This study aimed to create Pickering emulsions with varying oil fractions and assess the impact of ultrasonic treatment on the properties of Whey Protein Isolates (WPIs). At 640 W for 30 min, ultrasound reduced WPI aggregate size, raised zeta potential, and improved foaming, emulsifying, and water-holding capacities. FTIR analysis showed structural changes, while fluorescence and hydrophobicity increased, indicating tertiary structure alterations. This suggests that sonication efficiently modifies WPI functionality. Under ideal conditions, φ = 80 emulsions were most stable, with no foaming or phase separation. Laser scanning revealed well-organized emulsions at φ = 80. This study provides a reference for modifying and utilizing WPI.
Valuable Data “Gain” and “Loss”: The Quantitative Impact of Information Choice on Consumers’ Decision to Buy Selenium-Rich Agricultural Products
Authors: Zhou Bo , Wu Huizhen , Wu Baoshu , Song Zhenjiang
Published: October 2024

Biotechnology assumes a paramount role in addressing micronutrient deficiencies. The promotion thereof and the augmentation of public awareness are indispensable for implementation. The advancement of big data presents challenges due to the plethora of information and the constrained processing capacity, thereby inducing difficulties in consumer decision-making. The study is obliged to intensify information dissemination to empower consumers to apprehend the value of selenium-enriched products as an integral constituent of positive nutrition guidance. The study undertook an experiment related to nutrition information acquisition, in which participants provided relevant interferences. The study utilized the structural equation model (SEM) and fuzzy set qualitative comparative analysis (fsQCA) to analyze the data. The study arrived at three research conclusions. Firstly, the furnishing of valuable information constitutes a significant factor in motivating consumers to purchase selenium-rich agricultural products. Secondly, the communication of brand information holds crucial significance in shaping the perception of product advantages and plays a salient role in the promotion and construction of selenium-rich agricultural products. Finally, the dissemination of health information can be incorporated into the process of promoting selenium-rich agricultural products. This conforms to the urgent necessity to address hidden hunger and establish a value identity.
Changes in Texture and Collagen Properties of Pork Skin during Salt–Enzyme–Alkali Tenderization Treatment
Authors: Zou Qiang , Chen Yuyou , Liu Yudie , Luo Linghui , Zheng Yuhan , Ran Guilian , Liu Dayu
Published: October 2024

The effects of salt–enzyme–alkali progressive tenderization treatments on porcine cortical conformation and collagen properties were investigated, and their effectiveness and mechanisms were analyzed. The tenderization treatment comprised three treatment stages: CaCl2 (25 °C/0–30 min), papain (35 °C/30–78 min), and Na2CO3 (25 °C/78–120 min). The textural, microscopic, and collagenous properties (content, solubility, and structure) of pork skin were determined at the 0th, 30th, 60th, 90th, and 120th min of the treatment process. The results showed that the shear force, hardness, and chewability of the skin decreased significantly (p < 0.05), and the elasticity exhibited a gradual increase with the progression of tenderization. The content and solubility of collagen showed no significant change at the CaCl2 treatment stage. However, the soluble collagen content increased, the insoluble collagen content decreased, and the collagen solubility increased by 18.04% during the subsequent treatment with papain and Na2CO3. Meanwhile, the scanning electron microscopy results revealed that the regular, wavy structure of the pig skin collagen fibers gradually disappeared during the CaCl2 treatment stage, the overall structure revealed expansion, and the surface microscopic pores gradually increased during the papain and Na2CO3 treatment stages. The findings of the Fourier transform infrared spectroscopy analysis indicated that the hydrogen bonding interactions between the collagen molecules and the C=O, N-H and C-N bonds in the subunit structure of collagen were substantially altered during treatment and that the breakage of amino acid chains and reduction in structural ordering became more pronounced with prolonged treatment. In the tertiary structure, the maximum emission wavelength was blue-shifted and then red-shifted, and the fluorescence intensity was gradually weakened. The surface hydrophobicity was slowly increased. The salt–enzyme–alkali tenderization treatment considerably improved the physical properties and texture of edible pork skins by dissolving collagen fibers and destroying the structure of collagen and its interaction force.