bluuebunny/crossref_metadata_2025 huggingface dataset:
Innovation Adaptive UKF Train Location Method Based on Kinematic Constraints
Authors: Li Xiaoping , Zhang Jianbin
Published: October 2024

To address the issue of reduced positioning accuracy caused by satellite signal interruptions when trains pass through long tunnels, a novel train positioning method based on an innovative adaptive unscented Kalman filter (UKF) under kinematic constraints is proposed. This method aims to improve the accuracy of the location of trains during operation. By considering the dynamic characteristics of the train, a dynamic kinematic-constrained inertial navigation system (INS)/odometer (ODO) combination positioning system is established. This system utilizes kinematic constraints to correct the accumulated errors of the INS. Additionally, the algorithm incorporates real-time estimation of the measurement noise covariance using innovation sequences. The updated adaptive estimation algorithm is applied within the UKF framework for nonlinear filtering, forming the innovative adaptive UKF algorithm. At each time step, the difference between the ODO sensor data and the INS output is used as the measurement input for the innovative adaptive UKF algorithm, enabling global estimation. This process ultimately yields the actual positioning result for the train. Simulation results demonstrate that the innovative adaptive UKF train positioning method, incorporating kinematic constraints, effectively mitigates the impact of satellite signal interruptions. Compared with the traditional INS/ODO positioning method, the innovative adaptive UKF method reduces position errors by 34.35% and speed errors by 36.33%. Overall, this method enhances navigation accuracy, minimizes train positioning errors, and meets the requirements of modern train positioning systems.
AWDP-FL: An Adaptive Differential Privacy Federated Learning Framework
Authors: Chen Zhiyan , Zheng Hong , Liu Gang
Published: October 2024

Data security and user privacy concerns are receiving increasing attention. Federated learning models based on differential privacy offer a distributed machine learning framework that protects data privacy. However, the noise introduced by the differential privacy mechanism may affect the model’s usability, especially when reasonable gradient clipping is absent. Fluctuations in the gradients can lead to issues like gradient explosion, compromising training stability and potentially leaking privacy. Therefore, gradient clipping has become a crucial method for protecting both model performance and data privacy. To balance privacy protection and model performance, we propose the Adaptive Weight-Based Differential Privacy Federated Learning (AWDP-FL) framework, which processes model gradient parameters at the neural network layer level. First, by designing and recording the change trends of two-layer historical gradient sequences, we analyze and predict gradient variations in the current iteration and calculate the corresponding weight values. Then, based on these weights, we perform adaptive gradient clipping for each data point in each training batch, which is followed by gradient momentum updates based on the third moment. Before uploading the parameters, Gaussian noise is added to protect privacy while maintaining model accuracy. Theoretical analysis and experimental results validate the effectiveness of this framework under strong privacy constraints.
Analysis of Electricity Supply and Demand Balance in Residential Microgrids Integrated with Micro-CAES in Northern Portugal
Authors: Markowski Jan , Leszczyński Jacek , Ferreira Paula Fernanda Varandas , Dranka Géremi Gilson , Gryboś Dominik
Published: October 2024

As global energy demand continues to rise, integrating renewable energy sources (RES) into power systems has become increasingly important. However, the intermittent nature of RES, such as solar and wind, presents challenges for maintaining a stable energy supply. To address this issue, energy storage systems are essential. One promising technology is micro-compressed air energy storage (micro-CAES), which stores excess energy as compressed air and releases it when needed to balance supply and demand. This study investigates the integration of micro-CAES with RES in a 19-home microgrid in northern Portugal. The research aims to evaluate the effectiveness of a microgrid configuration that includes 100 kW of solar PV, 70 kW of wind power, and a 50 kWh micro-CAES system. Using real-world data on electricity consumption and local renewable potential, a simulation is conducted to assess the performance of this system. The findings reveal that this configuration can supply up to 68.8% of the annual energy demand, significantly reducing reliance on the external grid and enhancing the system’s resilience. These results highlight the potential of micro-CAES to improve the efficiency and sustainability of small-scale renewable energy systems, demonstrating its value as a key component in future energy solutions.
Bidding Strategy for the Alliance of Prosumer Aggregators in the Distribution Market
Authors: Wang Chunyi , Xing Jiawei , Wang Yuejiao , Xu Jing , Fu Zhixin , Xu Benjie , Liu Haoming
Published: October 2024

Photovoltaic energy storage system (PV-ESS) prosumer aggregators are characterized by a large number but small scale in the distribution system and are not competitive enough to participate in market transactions. For this reason, a prosumer aggregator alliance is proposed to participate in the distribution market bidding strategy. Firstly, based on the framework for prosumer aggregator alliances participating in distribution market trading, a bilevel bidding model is constructed. The upper level represents the optimal decision-making model for the prosumer aggregators, while the lower level constitutes the distribution market-clearing model. Secondly, the additional benefits obtained by the alliance are distributed more fairly using the improved Shapley value based on the PV self-consumption rate. Given the problem that the traditional diagonalization algorithm (DA) has an excessive number of iterations when solving the game equilibrium problem of multiple subjects, the DA is improved by optimizing the initial value of the inputs. Finally, case studies are conducted based on the improved IEEE-33 bus distribution system to validate the feasibility and economic viability of the proposed strategy. The case study results show that forming cooperative alliances to participate in market bidding can significantly increase overall profits. The improved DA reduces the number of bids and computation time by 75% and 80%, respectively. Additionally, the improved Shapley value facilitates compensation for some of the aggregators.
Grammar-Based Computational Framework for Predicting Pseudoknots of K-Type and M-Type in RNA Secondary Structures
Authors: Pavlatos Christos
Published: October 2024

Understanding the structural intricacies of RNA molecules is essential for deciphering numerous biological processes. Traditionally, scientists have relied on experimental methods to gain insights and draw conclusions. However, the recent advent of advanced computational techniques has significantly accelerated and refined the accuracy of research results in several areas. A particularly challenging aspect of RNA analysis is the prediction of its secondary structure, which is crucial for elucidating its functional role in biological systems. This paper deals with the prediction of pseudoknots in RNA, focusing on two types of pseudoknots: K-type and M-type pseudoknots. Pseudoknots are complex RNA formations in which nucleotides in a loop form base pairs with nucleotides outside the loop, and thus contribute to essential biological functions. Accurate prediction of these structures is crucial for understanding RNA dynamics and interactions. Building on our previous work, in which we developed a framework for the recognition of H- and L-type pseudoknots, an extended grammar-based framework tailored to the prediction of K- and M-type pseudoknots is proposed. This approach uses syntactic pattern recognition techniques and provides a systematic method to identify and characterize these complex RNA structures. Our framework uses context-free grammars (CFGs) to model RNA sequences and predict the occurrence of pseudoknots. By formulating specific grammatical rules for type K- and M-type pseudoknots, we enable efficient parsing of RNA sequences to recognize potential pseudoknot configurations. This method ensures an exhaustive exploration of possible pseudoknot structures within a reasonable time frame. In addition, the proposed method incorporates essential concepts of biology, such as base pairing optimization and free energy reduction, to improve the accuracy of pseudoknot prediction. These principles are crucial to ensure that the predicted structures are biologically plausible. By embedding these principles into our grammar-based framework, we aim to predict RNA conformations that are both theoretically sound and biologically relevant.
Alternative Tree Species for Sustainable Forest Management in the Brazilian Amazon
Authors: Lima Fernanda Borges de , Souza Álvaro Nogueira de , Matricardi Eraldo Aparecido Trondoli , Gaspar Ricardo de Oliveira , Lima Ingrid Borges de , Souza Hallefy Junio de , Santos Mario Lima dos , Miguel Eder Pereira , Borges Luís Antônio Coimbra , Santos Cassio Rafael Costa dos , Gouveia Fernando Nunes , Lima Maria de Fátima de Brito
Published: October 2024

The scarcity of hardwoods from tropical forests makes the search for alternative species necessary for commercialization. This study aimed to establish groups of timber species from the Amazon Forest with potential for logging purposes through the assessment of their physical-mechanical properties, aiming to identify alternative species that can meet the market demands. We utilized data from the Forest Products Laboratory (LPF) (containing information on basic density and other wood mechanical properties) and the Timberflow platform, as well. We applied a multivariate cluster analysis technique with the aim of grouping species based on the technological characteristics of their wood and evaluating similarity among them to obtain homogeneous groups in terms of economic potential and utilization. The results indicated four homogeneous groups: Cluster 1 (40.72% of species, basic density-db: 690 kg m−3), Cluster 2 (13.92%, db: 260 and 520 kg m−3), Cluster 3 (27.32%, db: 550 and 830 kg m−3), and Cluster 4 (18.04%, db: 830 kg m−3). Most of the 20 listed species are classified as more commercially viable (70%), with high wood density. Species identified as alternatives include Dialium guianense and Zollernia paraensis for Dipteryx odorata, Terminalia argentea for Dinizia excelsa, Terminalia amazonia and Buchenavia grandis for Goupia glabra, and Protium altissimum and Maclura tinctoria for Hymenaea courbaril. The analysis highlighted the overexploitation of a restricted group of species and the need to find alternatives to ensure the sustainability of forest management. This study contributed to identifying species that can serve as alternatives to commercial ones, promoting a more balanced and sustainable forest management.
Forensic Discrimination of Various Subtypes of Regenerated Cellulose Fibers in Clothing Available on the Consumer Market
Authors: Wąs-Gubała Jolanta , Migdał Mateusz , Brożek-Mucha Zuzanna
Published: October 2024

The discrimination of five subtypes of regenerated cellulose fibers, i.e., viscose, bamboo, lyocell, modal, and cupro, from both men’s and women’s clothing available on the prevalent apparel market was described. The examinations were conducted using optical microscopy (in transmitted white light and polarized light), scanning electron microscopy coupled with energy dispersive X-ray spectrometry (SEM–EDX), and Fourier Transform Infrared Spectroscopy (FTIR). The microscopic methods revealed characteristic features of the morphological structure of the examined fibers, enabling the identification of differences between the subtypes. As a result, the microscopic methods were found to be the most effective for identifying and distinguishing between the types of examined fibers. Although the FTIR technique did not allow for distinguishing between the fiber subcategories, it contributed to the enlargement of the IR spectra databases for regenerated cellulose fibers. Based on the findings, a general scheme of the procedure for identifying the tested fibers was proposed.
Cascade Amplifying Electrochemical Bioanalysis for Zearalenone Detection in Agricultural Products: Utilizing a Glucose–Fenton–HQ System on Bimetallic–ZIF@CNP Nanocomposites
Authors: Liu Guoxing , Liu Zhaoying , Sun Yumeng , Sun Mingna , Duan Jinsheng , Tian Ye , Du Daolin , Li Ming
Published: October 2024

The integration of advanced materials and signaling cascade strategies is a promising and highly relevant topic for enhancing the performance of bioanalysis. In this study, a three-stage cascade amplification electrochemical bioanalysis (TCAE-bioanalysis) was developed and evaluated for the detection of zearalenone (ZEN). This method couples immunoreaction with a glucose–Fenton–hydroquinone (HQ) system on bimetallic–ZIF (B-ZIF)@CNP nanocomposites. The B-ZIF@CNP-modified gold electrode (AuE) was prepared, offering high conductivity and an excellent reaction interface. The immunoreaction introduced glucose oxidase (GOx) into the glucose–Fenton–HQ system, generating an abundant electron signal. The method achieved an ultrasensitive limit of detection (LOD) as low as 0.87 pg/mL, with an IC50 value of 30.8 pg/mL, representing a 229-fold enhancement in sensitivity compared to ELISA using the same monoclonal antibody (McAb). The specificity, reliability, and practicality of this approach were thoroughly demonstrated for agricultural product samples. Additionally, the TCAE-bioanalysis offers several advantages, including simplified preparation for advanced B-ZIF@CNP, a convenient detection system, and the use of common and environmentally friendly reagents. This study presents a comprehensive approach to improving electrochemical bioanalysis and may also expand the application of signaling cascades and environmentally friendly techniques in other biosensing or diagnostic contexts.
Application of 2D Extension of Hjorth’s Descriptors to Distinguish Defined Groups of Bee Pollen Images
Authors: Tkacz Ewaryst , Rujna Przemysław , Więcławek Wojciech , Lewandowski Bartosz , Mika Barbara , Sieciński Szymon
Published: October 2024

Adulteration of food products is a serious problem in the current economy. Honey has become the third most counterfeit food product in the world and requires effective authentication methods. This article presents a new approach to the differentiation of bee pollen, which can support the development of a methodology to test honey quality based on the analysis of bee pollen. The proposed method is built on applying the Hjorth descriptors—Activity, Mobility, and Complexity—known from electroencephalography (EEG) analysis, for 2D bee pollen images. The sources for extracting the bee pollen images were the photos of honey samples, which were taken using a digital camera with a resolution of 5 megapixels connected to the tube of an optical microscope. The honey samples used were prepared according to the Polish standard PN-88/A-77626 (related to the European standard CELEX-32001L0110-PL-TXT). The effectiveness of the proposed method was positively verified for three selected groups of bee pollen—Brassica napus, Helianthus, and Phacelia—containing 35 images. Statistical analysis confirms the ability of the Hjorth descriptors to differentiate the indicated bee pollen groups. Based on the results obtained, there is a significant difference between the bee pollen groups under consideration regarding Activity p<0.00001, Mobility p<0.0001, and Complexity p<0.00001.
Effects of Prebiotic Dietary Fibers on the Stimulation of the Mucin Secretion in Host Cells by In Vitro Gut Microbiome Consortia
Authors: Kim Seonghun , Kang Ji Young , Nguyen Quang Anh , Lee Jung-Sook
Published: October 2024

The gastrointestinal microbiota are important for human health. Dietary intake may modulate the composition and metabolic function of the gut microbiome. We examined how the breakdown of prebiotic dietary fibers by the gut microbiome affects mucin secretion by intestinal epithelial cells. Metagenomic analyses of in vitro gut microbiome consortia revealed taxonomic profiles and genetic diversity of carbohydrate-active enzymes that digest polysaccharides. Two independent consortia exhibited different abilities to produce acetic acid, propionic acid, and butyric acid via the fermentation of polysaccharides derived from dietary fibers of grains and mushrooms. Although acetic acid generally had the highest concentration, the ratios of butyric acid and propionic acid to acetic acid varied depending on the polysaccharide source. These short-chain fatty acids affected morphological differentiation and mucin secretion in HT-29 human intestinal epithelial cells. These results suggest that prebiotic dietary fibers can be digested and metabolized by the gut microbiome to short-chain fatty acids, which can affect gut epithelial cells both directly and indirectly via the modulation of the gut microbiota and their enzymes.
Enzymes in Food Industry: Fermentation Process, Properties, Rational Design, and Applications
Authors: Zhao Jingming , Liu Fufeng
Published: October 2024

Enzymes play a vital role in the food industry, where they act as natural catalysts to improve production processes, enhance food quality, and increase efficiency [...]
Impacts of Fruit Frosting Coverage on Postharvest Softening of Prunes under Vibration Stress
Authors: Chen Wanting , Cui Kuanbo , Jin Lili , Bai Menghan , Pazilijiang Ohaer , Tian Rui , Ma Junjie
Published: October 2024

The surface of prune fruit has a thick layer of frosting, which is easily damaged and lost during prunes harvest or postharvest handling, and there is no clear information on the effect of prune surface frost on postharvest storage quality. To investigate the effect of fruit frosting on the softening of prune fruits during storage under vibration stress, prunes were divided into three grades according to fruit frosting in this study and were vibrated for 8 h at a frequency of 5 Hz at 4 °C; then, samples were selected once every 8 d. The results showed that the heavy fruit frosting (HFF) group maintained higher hardness (21.47%), L* (20.85%), and total soluble solids (12.79%) levels at the end of storage and inhibited cell wall-modifying enzyme activities (polygalacturonase, pectin methylesterase, glycosidase, β-glucosidase, and cellulase) compared to frosting-less fruit (FF) group. This group also showed improved expression of key cell wall-modification genes (ADPG2, PME31, CESA1, BGAL3, XTH33, BGLU41) as well as chelate-soluble pectin (72.11%), Na2CO3-soluble pectin (42.83%), and cellulose (36.89%) solubilization and maintained lower water-soluble pectin (34.23%). Microscopic observations showed that the fruit frosting could delay the dissolution of pectin components and protect the cell wall structure. In summary, fruit frosting can effectively inhibit fruit softening and maintain fruit quality.
Novel Peptides LFLLP and DFFL from Jack Bean Protein Hydrolysates Suppress the Inflammatory Response in Lipopolysaccharide-Stimulated RAW 264.7 Cells
Authors: Wijatniko Bambang Dwi , Ishii Yoshiki , Hirayama Makoto , Suzuki Takuya
Published: October 2024

The production of inflammatory cytokines such as tumor necrosis factor (TNF)-α by activated macrophage cells plays an important role in the development of intestinal inflammation. The present study investigated the anti-inflammatory effect of the protein hydrolysates prepared from the jack bean (JBPHs), Canavalia ensiformis (L.) DC, using the enzyme Alcalase, in a murine macrophage model, RAW 264.7 cells, which were stimulated by lipopolysaccharides. JBPHs reduced the TNF-α expression at the protein and mRNA levels through the downregulation of cellular signaling pathways involved in nuclear factor kappa B (NF-κB), extracellular signal-regulated kinase (ERK), and p38. A combination of mass spectrometry and in silico approaches identified 10 potential anti-inflammatory peptides in the JBPHs, including LFLLP and DFFL. Interestingly, while LFLLP targeted the NF-κB pathway, DFFL targeted p38 and ERK to suppress the TNF-α production in the RAW 264.7 cells. In addition, LFLLP and DFFL were localized in the cytosol of the cells. These results demonstrated that LFLLP and DFFL were incorporated by RAW 264.7 cells and, at least in part, contributed to the reduction in TNF-α by JBPHs. These peptides isolated from JBPHs may well be utilized as new alternatives to alleviate intestinal inflammation.
Integrated People and Freight Transportation: A Literature Review
Authors: Derse Onur , Van Woensel Tom
Published: October 2024

Increasing environmental and economic pressures have led to numerous innovations in the logistics sector, including integrated people and freight transport (IPFT). Despite growing attention from practitioners and researchers, IPFT lacks extensive research coverage. This study aims to bridge this gap by presenting a general framework and making several key contributions. It identifies, researches, and explains relevant terminologies, such as cargo hitching, freight on transit (FoT), urban co-modality, crowd-shipping (CS), occasional drivers (OD), crowdsourced delivery among friends, and share-a-ride, illustrating the interaction of IPFT with different systems like the sharing economy and co-modality. Furthermore, it classifies IPFT-related studies at strategic, tactical, and operational decision levels, detailing those that address uncertainty. The study also analyzes the opportunities and challenges associated with IPFT, highlighting social, economic, and environmental benefits and examining challenges from a PESTEL (political, economic, social, technological, environmental, and legal) perspective. Additionally, it discusses practical applications of IPFT and offers recommendations for future research and development, aiming to guide practitioners and researchers in addressing existing challenges and leveraging opportunities. This comprehensive framework aims to significantly advance the understanding and implementation of IPFT in the logistics sector.
Exploring Calcium Alginate-Based Gels for Encapsulation of Lacticaseibacillus paracasei to Enhance Stability in Functional Breadmaking
Authors: Zadeike Daiva , Gaizauskaite Zydrune , Basinskiene Loreta , Zvirdauskiene Renata , Cizeikiene Dalia
Published: October 2024

This study focuses on evaluating the efficiency of acid-tolerant Lacticaseibacillus paracasei bacteria encapsulated in an alginate-based gel matrix during repeated sourdough fermentation cycles, as well as their preservation during storage and throughout baking at high temperature. A double-coating procedure was applied, involving the encapsulation of bacterial cells in calcium alginate, which was further coated with chitosan. The encapsulation efficiency (EE) did not show significant difference between alginate and alginate–chitosan (97.97 and 96.71%, respectively). The higher number of L. paracasei bacteria was preserved in double-coated microbeads, with survivability rates of 89.51% and 96.90% in wet and dried microbeads, respectively. Encapsulated bacteria demonstrated effective fermentation ability, while double gel-coated cells exhibited slower acidification during sourdough fermentation, maintaining higher efficiency in the second fermentation cycle. The addition of freeze-dried, alginate-based gel-encapsulated bacteria (2–4%, w/w flour) significantly (p < 0.05) improved bread quality and extended its shelf life. A double-layer coating (alginate–chitosan) can be introduced as an innovative strategy for regulating the release of lactic acid bacteria and optimizing fermentation processes. Powdered alginate or alginate–chitosan gel-based L. paracasei microcapsules, at appropriate concentrations, can be used in the production of baked goods with acceptable quality and sensory properties, achieving a lactic acid bacteria count of approximately 106 CFU/g in the crumb, thereby meeting the standard criteria for probiotic bakery products.
Demographics, Clinical Characteristics, and Well-Being of Veterans with TBI and Dementia and Their Caregivers
Authors: Nichols Linda O. , Martindale-Adams Jennifer , Seel Ronald T. , Zuber Jeffrey K. , Perrin Paul B.
Published: October 2024

Background: This study provides a detailed examination of older Veterans with traumatic brain injury (TBI) and dementia and their caregivers, focusing on Veterans’ demographic, clinical, functional, safety risk, and behavioral characteristics and caregivers’ demographic, clinical, and care-related characteristics and well-being. Methods: Veterans’ caregivers (N = 110) completed a telephone-based survey. Results: Veterans averaged eight comorbid health conditions, with over 60% having chronic pain, hypertension, post-traumatic stress disorder, or depression. Caregivers reported helping with an average of three activities of daily living, with the highest percentages of Veterans needing assistance with grooming, dressing, and bathing. Almost all Veterans needed assistance with shopping, cooking, medication management, housework, laundry, driving, and finances. Veterans averaged two safety risks, the most common being access to dangerous objects, access to a gun, and not being able to respond to emergency situations. Although Veterans averaged 14 behavioral concerns, caregivers reported that their family needs relating to TBI were generally met or partly met, and they voiced confidence in their ability to respond to behaviors and control their upsetting thoughts. Caregivers’ mean burden score was severe, while mean depression and anxiety scores were mild. Caregivers reported an average of 10.5 h per day providing care and 20.1 h per day on duty. Conclusions: The findings demonstrate the increased presence of impairments, safety risks, and behavioral issues in Veterans with comorbid TBI and dementia, as well as increased impacts on families’ burdens and care provision requirements. Clinicians should be alert for and educate TBI patients and caregivers on the warning signs of post-TBI dementia and its associated functional, behavioral, and safety risk profile, as well as challenges related to caregiver well-being. Healthcare policymakers must consider the increased caregiver demands associated with comorbid TBI and dementia, as well as the need for expanded long-term support and services.
Qualitative Health-Related Quality of Life and Natural Language Processing: Characteristics, Implications, and Challenges
Authors: Lázaro Esther , Moscardó Vanessa
Published: October 2024

Objectives: This article focuses on describing the main characteristics of the application of NLP in the qualitative assessment of quality of life, as well as its implications and challenges. Methods: The qualitative methodology allows analysing patient comments in unstructured free text and obtaining valuable information through manual analysis of these data. However, large amounts of data are a healthcare challenge since it would require a high number of staff and time resources that are not available in most healthcare organizations. Results: One potential solution to mitigate the resource constraints of qualitative analysis is the use of machine learning and artificial intelligence, specifically methodologies based on natural language processing.
Impact of COVID-19 Pandemic on Healthcare Utilization in People with Diabetes: A Time-Segmented Longitudinal Study of Alberta’s Tomorrow Project
Authors: Ye Ming , Vena Jennifer E. , Shen-Tu Grace , Johnson Jeffrey A. , Eurich Dean T.
Published: October 2024

Objective: The objective is to characterize the impact of COVID-19 on major healthcare for diabetes, including hospitalization, emergency department (ED) visits and primary care visits in Alberta, Canada. Methods: Participants from Alberta’s Tomorrow Project (ATP) with pre-existing diabetes prior to 1 April 2018 were included and followed up to 31 March 2021. A time-segmented regression model was used to characterize the impact of COVID-19 on healthcare utilization after adjusting for seasonality, socio-demographic factors, lifestyle behaviors and comorbidity profile of patients. Results: Among 6099 participants (53.5% females, age at diagnosis 56.1 ± 9.9 y), the overall rate of hospitalization, ED visits and primary care visits was 151.5, 525.9 and 8826.9 per 1000 person-year during the COVID-19 pandemic (up to 31 March 2021), which means they reduced by 12% and 22% and increased by 6%, compared to pre-pandemic rates, respectively. Specifically, the first COVID-19 state of emergency (first wave of the outbreak) was associated with reduced rates of hospitalization, ED visits and primary care visits, by 79.4% (95% CI: 61.3–89.0%), 93.2% (95% CI: 74.6–98.2%) and 65.7% (95% CI: 47.3–77.7%), respectively. During the second state of emergency, healthcare utilization continued to decrease; however, a rebound (increase) of ED visits was observed during the period when the public health state of emergency was relaxed. Conclusion: The declared COVID-19 states of emergency had a negative impact on healthcare utilization for people with diabetes, especially for hospital and ED services, which suggests the importance of enhancing the capacity of these two healthcare sectors during future COVID-19-like public health emergencies.
A Population-Based Analysis of the Cancer Incidence in Individuals under 50 in a Northern Italian Province: Focusing on Regional Disparities and Public Health Implications
Authors: Mangone Lucia , Marinelli Francesco , Bisceglia Isabella , Roncaglia Francesca , Morabito Fortunato , Testa Cinzia , Pinto Carmine , Neri Antonino
Published: October 2024

International studies have shown an increase in cancer incidence among young adults, raising public concern. This study aims examines trends in the cancer incidence among individuals aged 15–49 years in a province of Northern Italy, covering diagnoses from 1996 to 2021, and compares the annual percentage change (APC) with national and international data. In males, the overall cancer incidence showed a modest increase between 1996 and 2013 (APC 1.6), followed by a decline in the subsequent years (APC −2.5). In females, there was a modest increase over the entire period (APC 1.0). The lung cancer incidence decreased in both sexes (APC −3.9 in males and APC −3.3 in females), while a decrease was observed for colorectal cancers in women (APC −2.4). Since 2015, the thyroid cancer incidence declined significantly in females (APC −10.2), while an increase was noted in males (APC 2.5). The testicular cancer incidence rose in males (APC 1.5), and the melanoma incidence increased in both sexes (APC 3.4 in males and APC 3.9 in females). The breast cancer incidence remained stable (APC 0.3). These results underline the importance of promoting healthy lifestyles even among younger generations to address emerging cancer trends and support cancer prevention efforts.
Unveiling the Hidden Responses: Metagenomic Insights into Dwarf Bamboo (Fargesia denudata) Rhizosphere under Drought and Nitrogen Challenges
Authors: Xiang Jun , Zhang Nannan , Li Jiangtao , Zhu Yue , Cao Tingying , Wang Yanjie
Published: October 2024

Dwarf bamboo (Fargesia denudata) is a crucial food source for the giant pandas. With its shallow root system and rapid growth, dwarf bamboo is highly sensitive to drought stress and nitrogen deposition, both major concerns of global climate change affecting plant growth and rhizosphere environments. However, few reports address the response mechanisms of the dwarf bamboo rhizosphere environment to these two factors. Therefore, this study investigated the effects of drought stress and nitrogen deposition on the physicochemical properties and microbial community composition of the arrow bamboo rhizosphere soil, using metagenomic sequencing to analyze functional genes involved in carbon and nitrogen cycles. Both drought stress and nitrogen deposition significantly altered the soil nutrient content, but their combination had no significant impact on these indicators. Nitrogen deposition increased the relative abundance of the microbial functional gene nrfA, while decreasing the abundances of nirK, nosZ, norB, and nifH. Drought stress inhibited the functional genes of key microbial enzymes involved in starch and sucrose metabolism, but promoted those involved in galactose metabolism, inositol phosphate metabolism, and hemicellulose degradation. NO3−-N showed the highest correlation with N-cycling functional genes (p < 0.01). Total C and total N had the greatest impact on the relative abundance of key enzyme functional genes involved in carbon degradation. This research provides theoretical and technical references for the sustainable management and conservation of dwarf bamboo forests in giant panda habitats under global climate change.
Maintenance Challenges in Maritime Environments and the Impact on Urban Mobility: Machico Stayed Bridge
Authors: Alves Raul , Lousada Sérgio , Naranjo Gómez José Manuel , Cabezas José
Published: October 2024

This article investigates the challenges of maintaining the Machico Cable-Stayed Bridge in a marine environment, focusing on its implications for urban mobility. The primary problem addressed is the impact of harsh marine conditions on the structural integrity of the bridge, which poses significant challenges for ongoing maintenance and safety. The research highlights unique aspects such as the effects of saltwater exposure on materials and the interplay between infrastructure and urban transit dynamics. By emphasizing these critical issues, this study aims to provide insights into effective maintenance strategies and contribute to the broader discourse on urban mobility in coastal regions.
Rotator Cuff Tear Size: Could It Be Influenced by the Presence of One or More Diseases Capable of Altering the Peripheral Microcirculation?
Authors: Gumina Stefano , Orsina Luigi , Song Hyun-Seok , Kim Hyungsuk , Bartocci Daniele , Candela Vittorio
Published: October 2024

Background: To date, it is not well known which systemic pathologies most frequently afflict patients with rotator cuff tear (RCT) and whether the coexistence of two or more pathologies can affect the lesion size. Therefore, we analyzed our database relative to a large group of patients who recently underwent rotator cuff repair. Methods: A total of 527 patients with full-thickness RCT were enrolled. For each patient, we checked the presence of at least one of diabetes, venous system diseases, cardiovascular diseases, hypercholesterolemia, blood hypertension, thyroid diseases, and a smoking habit. Patients were subdivided according to risk factors into five groups, representing those who had zero, one, two, three, and four or more risk factors, respectively. Statistical analysis was performed. Results: In total, 37% of our patients had no risk factors; 28% had one risk factor (arterial hypertension, smoking habit, and hypercholesterolemia were the most frequent); 23% had two risk factors (the hypertension/hypercholesterolemia association was the most frequent); and 8% suffered from three pathologies (the diabetes/arterial hypertension/hypercholesterolemia association was the most frequent). Comparing the cuff tear severity in patients without and with at least one risk factor, we observed that tear size increased in those with at least one risk factor. Conclusions: A total of 63% of patients with rotator cuff tears were either smokers and/or had at least one pathology capable of altering the peripheral microcirculation. Hypertension and hypercholesterolemia were the most frequent. Tear severity significantly increased with the presence of at least one risk factor.
Microperimetry Sensitivity Correlates to Structural Macular Changes in Adolescents with Achromatopsia Unlike Other Visual Function Tests
Authors: Cosmo Eleonora , Pilotto Elisabetta , Convento Enrica , Parolini Federico , Midena Edoardo
Published: October 2024

Objectives: Achromatopsia (ACHM) is a rare autosomal, recessively inherited disease that is characterized by cone dysfunction, for which several gene therapies are currently on trial. The aim of this study was to find correlations between the morphological macular changes identified using optical coherence tomography (OCT) and some visual functional parameters. Visual acuity (VA), contrast sensitivity (CS), and macular sensitivity obtained by means of microperimetry were assessed. Methods: Adolescents with ACHM underwent macular microperimetry (S-MAIA device) in mesopic condition, macular OCT, best corrected visual acuity (BCVA), low luminance visual acuity (LLVA), near vision acuity (NVA), and CS measurement. Results: Eight patients (15 eyes) with ACHM were analyzed. The mean age was 17 ± 2.7 years, and genetic variants involved the CNGA3 gene (37.5%) and CNGB3 gene (62.5%). OCT staging significantly correlated with microperimetry sensitivity parameters, namely the sensitivity of the central foveal point (p = 0.0286) and of the first and second perifoveal rings (p = 0.0008 and p = 0.0014, respectively). No correlations were found between OCT staging and VA measurements, nor with CS value. Conclusions: Among the extensive evaluated visual function tests, only microperimetry sensitivity showed a correlation with morphological macular changes identified at OCT. Microperimetry sensitivity may thus represent a useful visual function tool in natural ACHM history studies considering the upcoming research on gene therapies for the treatment of ACHM.
Performance of the Mammoth Balloon Catheter in Patients with Severe Aortic Valve Stenosis Undergoing Percutaneous Treatment
Authors: Moscardelli Silvia , Caminiti Rodolfo , Montonati Carolina , Ceresa Fabrizio , De Blasio Giuseppe , Vizzari Giampiero , Pellegrini Dario , Pellicano Mariano , Guagliumi Giulio , Patanè Francesco , Tespili Maurizio , Micari Antonio , Ielasi Alfonso
Published: October 2024

Background: Balloon aortic valvuloplasty (BAV) is currently used as pre-treatment for patients undergoing trans-catheter aortic valve replacement (TAVR) as well as a stand-alone option for subjects with significant contraindications to TAVR. Mammoth is a newly available non-compliant balloon catheter (BC) included in the balloon-expandable Myval THV system (Meril Life Sciences Pvt. Ltd., India). As limited data on the performance of this BC are available, we here report the results following its use for BAV as pre-dilatation during TAVR or as a stand-alone procedure. Methods: A retrospective, single-center cohort analysis was performed on patients with severe aortic valve stenosis (AS) treated with the Mammoth BC at IRCCS Ospedale Galeazzi Sant’Ambrogio, Milan, Italy. The primary endpoint was technical success defined as successful Mammoth BC advancement across the AS followed by its full and homogeneous inflation without major complications such as aortic root/left ventricular outflow tract injury and/or stroke. Results: A total of 121 patients were treated by BAV with Mammoth BC during the study period. Among these, 105 patients underwent BAV pre-dilatation before TAVR while 16 patients underwent a stand-alone BAV procedure. Mammoth BC was delivered and successfully inflated at the target site in all of the 121 cases without BC-related complications (100% technical success). However, in the BAV “stand-alone group”, three patients required two different balloon sizes while in nine patients multiple rounds (two to three) of balloon inflation were needed to significantly lower the transvalvular gradient. No cases of aortic root injury or massive aortic regurgitation due to Mammoth BC-related aortic leaflet injury were reported while one major stroke occurred late after TAVR. No intra-procedural deaths occurred nor bleeding (BARC 3-4) or major vascular complication. Conclusions: Mammoth BC use in patients with severe AS proved safe and effective, either before TAVR or as a stand-alone procedure, expanding the range of available tools for structural operators.
Sex-Based Differences in Polytraumatized Patients between 1995 and 2020: Experiences from a Level I Trauma Center
Authors: Weihs Valerie , Babeluk Rita , Negrin Lukas L. , Aldrian Silke , Hajdu Stefan
Published: October 2024

Background/Objectives: The aim of this study was to examine sex-related differences in the outcomes of polytraumatized patients admitted to a level I trauma center. Methods: This was a retrospective data analysis of 980 consecutive polytraumatized patients admitted to a single level I trauma center between January 1995 and December 2020. Results: Among all patients, about 30% were female, with a significantly higher age and significantly higher rates of suicidal attempts. No sex-related differences regarding injury severity or trauma mechanisms could be seen, but female patients had significantly higher overall in-hospital mortality rates compared to male patients. Even in the elderly group of patients, elderly female patients were significantly older compared to elderly male patients, with significantly increased lengths of hospital stay. In the elderly group of patients, no sex-related differences regarding injury severity, trauma mechanisms or mortality could be detected. Multivariate analysis revealed suicidal attempt, severe head injury and age > 54 years as independent prognostic factors in the survival of polytraumatized patients. Conclusions: Distinctive sex-related differences can be found, with female polytraumatized patients being significantly older and having higher overall mortality rates with significantly increased LOS. Our study suggests a strong sex-independent influence of age, suicidal attempt and severe head injury on the outcomes of polytraumatized patients.
A Preliminary Experimental Study on Biodegradation of 3D-Printed Samples from Biomass–Fungi Composite Materials
Authors: Akib Yeasir Mohammad , Bedsole Caleb Oliver , Rahman Al Mazedur , Hamilton Jillian , Khan Fahim , Pei Zhijian , Shaw Brian D. , Ufodike Chukwuzubelu Okenwa
Published: October 2024

Products made from petroleum-derived plastic materials are linked to many environmental problems, such as greenhouse gas emissions and plastic pollution. It is desirable to manufacture products from environmentally friendly materials instead of petroleum-based plastic materials. Products made from biomass–fungi composite materials are biodegradable and can be utilized for packaging, construction, and furniture. In biomass–fungi composite materials, biomass particles (derived from agricultural wastes) serve as the substrate, and the fungal hyphae network binds the biomass particles together. There are many reported studies on the 3D printing of biomass–fungi composite materials. However, there are no reported studies on the biodegradation of 3D-printed samples from biomass–fungi composite materials. In this study, two types of biomass materials were used to prepare printable mixture hemp hurd and beechwood sawdust. The fungi strain used was Trametes versicolor. Extrusion based 3D printing was used to print samples. 3D-printed samples were left for five days to allow fungi to grow. The samples were then dried in an oven for 4 h at 120 °C to kill all the fungi in the samples. The samples were buried in the soil using a mesh bag and kept in an environmental chamber at 25 °C with a relative humidity of 48%. The weight of these samples was measured every week over a period of three months. During the testing period, the hemp hurd test samples lost about 33% of their original weight, whereas the beechwood sawdust samples lost about 30% of their original weight. The SEM (scanning electron microscope) micrographs showed the presence of zygospores in the test samples, providing evidence of biodegradation of the test samples in the soils. Additionally, the difference in peak intensity between the control samples and test samples (for both hemp hurd and beechwood sawdust) showed additional evidence of biodegradation of the test samples in the soils.
Rheumatoid Arthritis: What Inflammation Do We Face?
Authors: Poznyak Anastasia V. , Kirichenko Tatyana Vladimirovna , Beloyartsev Dmitry Felixovich , Churov Alexey V. , Kovyanova Tatiana Ivanovna , Starodubtseva Irina Alexandrovna , Sukhorukov Vasily N. , Antonov Stanislav A. , Orekhov Alexander N.
Published: October 2024

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by symmetrical joint inflammation, cartilage degradation, and bone erosion. This review explores the multifaceted aspects of RA pathogenesis, focusing on the dynamic interplay between innate and adaptive immune responses, genetic predisposition, and environmental triggers. The development of RA involves genetic susceptibility and trigger events such as infections, trauma, smoking, obesity, and microbiome alterations, fostering autoimmune reactions and tissue/organ destruction. The innate immune response, including toll-like receptor activation and synovial fibroblasts’ roles, contributes to the acceleration of inflammatory processes in joint tissues. Monocytes and macrophages organize and sustain chronic joint inflammation, leading to tissue damage and bone resorption, while highlighting the significance of CD14 and CD16 subsets in RA pathogenesis. In the adaptive immune response, aberrant activation and proliferation of CD4+ T cells and the role of regulatory T cells in maintaining immune tolerance are discussed. Target cytokines like TNF-α, IL-6, IL-1, IL-17, and BAFF, as well as chemokines such as CCL2, CXCL10, CCL5, and CXCL12, have emerged as critical components in managing chronic inflammation and joint damage in RA. This comprehensive overview provides insights into the pathophysiology of RA and potential therapeutic avenues, emphasizing the importance of understanding these complex immunological and genetic mechanisms for developing more effective treatment strategies.
Morpho-Molecular Identification of Fusarium equiseti and Fusarium oxysporum Associated with Symptomatic Wilting of Potato from Pakistan
Authors: Bibi Arsh , Mubeen Fathia , Rizwan Ali , Ullah Irfan , Hammad Masooma , Waqas Muhammad Abu Bakar , Ikram Ayesha , Abbas Zaheer , Halterman Dennis , Saeed Nasir Ahmad
Published: October 2024

Potato (Solanum tuberosum L.) is one of the emerging staple crops in Pakistan, with Punjab producing over 95% of the country’s potatoes. Wilt is an emerging threat to the potato crop worldwide, including in Pakistan. We identified and characterized Fusarium species associated with potato wilt in Pakistan through morphological and molecular analyses. Samples were collected during the 2020–2022 potato seasons from five major potato-growing regions: Sahiwal, Chichawatni, Pakpattan, Kamalia, and Faisalabad. Morphological characterization, internal transcribed spacer (ITS) sequencing, specific translation elongation factor 1-alpha (TEF) sequencing, and phylogenetic analysis were used to identify six different Fusarium species: F. oxysporum, F. equiseti, F. incarnatum, F. fujikuroi, F. annulatum and F. thapsinum. Pathogenicity tests in a greenhouse revealed that F. oxysporum and F. equiseti were responsible for Fusarium wilt in all sampled regions, with F. oxysporum being more prevalent in wilted samples. This is the first report of F. equiseti on wilted potatoes in Pakistan. In vitro biocontrol tests using Trichoderma harzianum showed 89% inhibition against F. equiseti and 65% inhibition against F. oxysporum. These findings on F. equiseti will aid in developing future control strategies, including biocontrol measures for Fusarium wilt in potatoes.