bluuebunny/crossref_metadata_2025 huggingface dataset:
Corrosion Susceptibility and Microhardness of Al-Ni Alloys with Different Grain Structures
Authors: Román Alejandra Silvina , Ibañez Edgar Rolando , Zadorozne Natalia Silvina , Méndez Claudia Marcela , Ares Alicia Esther
Published: October 2024

The development of Al-Ni alloys with a controlled microstructure has had a great impact on the field of study of aluminum-based alloys. In the present research, the influence of thermal parameters on the grain structures resulting from the directional solidification process of Al-Ni alloys with different alloy content has been studied. It has also been evaluated how different structures and the distribution of second phases influence the corrosion behavior and microhardness of alloys. The columnar-to-equiaxed transition (CET) was observed to occur when the temperature gradient in the melt decreased to values between 1.3 and 2.9 °C/cm. In addition, a small increase in the microhardness values was observed as a function of the Ni content. When the Ni content increases, the resistance to polarization decreases for samples with equiaxed grain structure throughout the range of compositions studied. Furthermore, the equiaxed grain structure presents higher resistance to polarization values than the columnar grain zone for alloys with a composition equal to or lower than the eutectic composition.
In Silico SwissADME Analysis of Antibacterial NHC–Silver Acetates and Halides Complexes
Authors: Sączewski Jarosław , Popenda Łukasz , Fedorowicz Joanna
Published: October 2024

This study investigates the antibacterial N-heterocyclic carbene (NHC)–silver complexes using the SwissADME platform, a web-based tool developed by the Swiss Institute of Bioinformatics (SIB). NHCs, particularly their silver complexes, have gained significant interest in medicinal chemistry for their potential as antibacterial and anticancer agents. The effectiveness of these complexes is closely linked to their structure, including factors like lipophilicity, which enhance their ability to penetrate bacterial cells and sustain the release of active silver ions. SwissADME provides computational estimates of pharmacokinetic properties, including absorption, distribution, metabolism, and excretion (ADME) characteristics, as well as drug-likeness and toxicity assessments. By evaluating parameters like molecular weight, topological polar surface area, lipophilicity (LogP), and water solubility, SwissADME offers insights into the drug-like potential of compounds. This study is inspired by a comprehensive review of antibacterial NHC–silver complexes published from 2006 to 2023, which identified superior structures with notable biological activity. The primary aim is to determine whether these active complexes exhibit distinct SwissADME parameters compared to others, providing a deeper understanding of the factors that influence their biological efficacy and aiding in the identification of promising drug candidates. Finally, experimental stabilities of exemplary complexes were confronted with absolute LUMO values derived from DFT calculations.
Automatic Refactoring Approach for Asynchronous Mechanisms with CompletableFuture
Authors: Zhang Yang , Xie Zhaoyang , Yue Yanxia , Qi Lin
Published: October 2024

To address the inherent limitations of Future in asynchronous programming frameworks, JDK 1.8 introduced the CompletableFuture class, which features approximately 50 different methods for composing and executing asynchronous computations and handling exceptions. This paper proposes an automatic refactoring method that integrates multiple static analysis techniques, including visitor pattern analysis, alias analysis, and executor inheritance structure analysis, to conduct precondition checks. Distinct from existing Future refactoring methods, this approach considers custom executor types, thereby extending its applicability. Using this method, the ReFuture automatic refactoring plugin was implemented within the Eclipse JDT framework. The method was evaluated in terms of the number of refactorings, refactoring time, and error introduction, alongside a side-by-side comparison with the existing method. The refactoring outcomes for nine large applications, including ActiveMQ, Hadoop, and Elasticsearch, show that ReFuture successfully refactored 639 out of 813 potential code structures, achieving a refactoring success rate of 64.70% without introducing errors. This tool effectively facilitates the refactoring to CompletableFuture and enhances refactoring efficiency compared to manual methods.
Oral Microbiota in Patients with Alzheimer’s Disease: A Systematic Review
Authors: Pruntel Sanne M. , Leusenkamp Lauren A. , Zaura Egija , Vissink Arjan , Visser Anita
Published: October 2024

Oral microorganisms have been found in the cerebral milieu, suggesting the involvement of oral microbiota in the onset and course of Alzheimer’s Disease (AD) through mechanisms such as amyloid-beta accumulation, tau phosphorylation and neuroinflammation. It is still uncertain whether and which oral bacteria are associated with AD. Therefore, the aim of this systematic review was to assess the current evidence for associations between oral microbiota and AD. A database search in Pubmed and Embase resulted in 623 hits. After removing duplicates, 437 papers remained. Of these, 13 papers passed the inclusion criteria and were included for quality/risk of bias assessment and data extraction. Analysis of these 13 studies revealed high heterogeneity in terms of sample size, age, study design and microbiological methods. Quality assessment using the MINORS criteria indicated reasonable to good quality across studies. As a result of the omission of two of the criteria, the quality results may have been biased. There is no conclusive evidence as to if and which oral microbiota are associated with AD since many conflicting results were reported. Although the overall quality of the studies was acceptable, the studies differed in study design and protocol. Further research is needed to clarify this association.
A Brief Survey on Deep Learning-Based Temporal Knowledge Graph Completion
Authors: Jia Ningning , Yao Cuiyou
Published: October 2024

Temporal knowledge graph completion (TKGC) is the task of inferring missing facts based on existing ones in a temporal knowledge graph. In recent years, various TKGC methods have emerged, among which deep learning-based methods have achieved state-of-the-art performance. In order to understand the current research status of TKGC methods based on deep learning and promote further development in this field, in this paper, for the first time, we summarize the deep learning-based methods in TKGC research. First, we detail the background of TKGC, including task definition, benchmark datasets, and evaluation protocol. Then, we divide the existing deep learning-based TKGC methods into eight fine-grained categories according to their core technology and summarize them. Finally, we conclude the paper and present three future research directions for TKGC.
Enhancing Marine Topography Mapping: A Geometrically Optimized Algorithm for Multibeam Echosounder Survey Efficiency and Accuracy
Authors: Lu Yi , Xu Juangui , Zhong Yubin , Lin Hongbin
Published: October 2024

This research introduces a new multibeam survey line model that optimizes geometric relationships to improve the efficiency and accuracy of surveys over complex seabed topographies. Since existing multibeam echosounder systems have limitations in handling complex terrains, this study presents an advanced model to enhance data quality and operational efficiency. By strategically designing survey lines and optimizing coverage strategies, this paper achieves the optimal configuration of survey lines for secondary measurements in marine areas, ensuring high precision and reliability of measurement data. Experimental results show that the new model significantly outperforms existing technologies in terms of effective coverage area and measurement accuracy, with an average coverage rate of over 95%, higher than existing models, and a weighted average overlap rate of 3.18%, greatly improving the economic efficiency of measurements by reducing redundant coverage and minimizing operational costs. These findings confirm the advantages of the new model in practical applications and offer valuable technical support for advancing seabed mapping technology.
Thermal Threat Monitoring Using Thermal Image Analysis and Convolutional Neural Networks
Authors: Marzec Mariusz , Wilczyński Sławomir
Published: October 2024

Monitoring of the vital signs or environment of disabled people is currently very popular because it increases their safety, improves their quality of life and facilitates remote care. The article proposes a system for automatic protection against burns based on the detection of thermal threats intended for blind or visually impaired people. Deep learning methods and CNNs were used to analyze images recorded by mobile thermal cameras. The proposed algorithm analyses thermal images covering the field of view of a user for the presence of objects with high or very high temperatures. If the user’s hand appears in such an area, the procedure warning about the possibility of burns is activated and the algorithm generates an alarm. To achieve this effect, the thermal images were analyzed using the 15-layered convolutional neural network proposed in the article. The proposed solution provided the efficiency of detecting threat situations of over 99% for a set of more than 21,000 images. Tests were carried out for various network configurations, architecture and both the accuracy and precision of hand detection was 99.5%, whereas sensitivity reached 99.7%. The effectiveness of burn risk detection was 99.7%—a hot object—and the hand appeared simultaneously in the image. The presented method allows for quick, effective and automatic warning against thermal threats. The optimization of the model structure allows for its use with mobile devices such as smartphones and mobile thermal imaging cameras.
The Impact of Pause and Filler Word Encoding on Dementia Detection with Contrastive Learning
Authors: Soleimani Reza , Guo Shengjie , Haley Katarina L. , Jacks Adam , Lobaton Edgar
Published: October 2024

Dementia is primarily caused by neurodegenerative diseases like Alzheimer’s disease (AD). It affects millions worldwide, making detection and monitoring crucial. This study focuses on the detection of dementia from speech transcripts of controls and dementia groups. We propose encoding in-text pauses and filler words (e.g., “uh” and “um”) in text-based language models and thoroughly evaluating their impact on performance (e.g., accuracy). Additionally, we suggest using contrastive learning to improve performance in a multi-task framework. Our results demonstrate the effectiveness of our approaches in enhancing the model’s performance, achieving 87% accuracy and an 86% f1-score. Compared to the state of the art, our approach has similar performance despite having significantly fewer parameters. This highlights the importance of pause and filler word encoding on the detection of dementia.
Rapid PM2.5-Induced Health Impact Assessment: A Novel Approach Using Conditional U-Net CMAQ Surrogate Model
Authors: Lee Yohan , Park Junghyun , Kim Jinseok , Woo Jung-Hun , Lee Jong-Hyeon
Published: October 2024

There is a pressing need for tools that can rapidly predict PM2.5 concentrations and assess health impacts under various emission scenarios, aiding in the selection of optimal mitigation strategies. Traditional chemical transport models (CTMs) like CMAQ are accurate but computationally intensive, limiting practical scenario analysis. To address this, we propose a novel method integrating a conditional U-Net surrogate model with health impact assessments, enabling swift estimation of PM2.5 concentrations and related health effects. The U-Net model was trained with 2019 South Korean PM2.5 data, including precursor emissions and boundary conditions. Our model showed high accuracy and significant efficiency, reducing processing times while maintaining reliability. By combining this surrogate model with the EPA’s BenMAP-CE tool, we estimated potential premature deaths under various emission reduction scenarios in South Korea, extending projections to 2050 to account for demographic changes. Additionally, we assessed the required PM2.5 emission reductions needed to counteract the increase in premature deaths due to an aging population. This integrated framework offers an efficient, user-friendly tool that bridges complex air quality modeling with practical policy evaluation, supporting the development of effective strategies to reduce PM2.5-related health risks and estimate economic benefits.
Generalization of the Fuzzy Fejér–Hadamard Inequalities for Non-Convex Functions over a Rectangle Plane
Authors: Alohali Hanan , Breaz Valer-Daniel , Alsalami Omar Mutab , Cotirla Luminita-Ioana , Alamer Ahmed
Published: October 2024

Integral inequalities with generalized convexity play a vital role in both theoretical and applied mathematics. The theory of integral inequalities is one of the branches of mathematics that is now developing at the quickest rate due to its wide range of applications. We define a new Hermite–Hadamard inequality for the novel class of coordinated ƛ-pre-invex fuzzy number-valued mappings (C-ƛ-pre-invex FNVMs) and examine the idea of C-ƛ-pre-invex FNVMs in this paper. Furthermore, using C-ƛ-pre-invex FNVMs, we construct several new integral inequalities for fuzzy double Riemann integrals. Several well-known results, as well as recently discovered results, are included in these findings as special circumstances. We think that the findings in this work are new and will help to stimulate more research in this area in the future. Additionally, unique choices lead to new outcomes.
New Insights on the Glyphosate-Degrading Enzymes C-P Lyase and Glyphosate Oxidoreductase Based on Bioinformatics
Authors: Giannakara Marina , Koumandou Vassiliki Lila
Published: October 2024

Bioremediation, the degradation of environmental pollutants by living organisms, has immense potential to lead to a greener planet. Bioinformatics analysis can contribute to the identification of novel microorganisms, which biodegrade contaminants, or of participating proteins and enzymes, and the elucidation of the complex metabolic pathways involved. In this study, we focus on C-P lyase and glyphosate oxidoreductase (Gox), two enzymes which degrade glyphosate, a widely used pesticide. Amino acid sequences of the two enzymes were collected from a broad range of microorganisms using the KEGG database and BLAST. Based on this, we identified additional lineages, with putative glyphosate-degrading activity, for which no glyphosate-degrading species have been reported yet. The conserved residues in each enzyme were identified via multiple alignments and mapped onto the 3D structures of the enzymes, using PyMOL, leading to novel insights into their function. As the experimental structure of Gox is still unknown, we created structural models based on three different programs and compared the results. This approach can be used to yield insights into the characteristics of potential glyphosate-degrading enzymes. Given the limited information available, such a step is important to gain further knowledge about them, which can contribute to their application in bioremediation in the future.
A Data-Driven Online Prediction Model for Battery Charging Efficiency Accounting for Entropic Heat
Authors: Ding Xiaowei , Zhang Weige , Yuan Chenyang , Ge Chang , Bao Yan , An Zhenjia , Liu Qiang , Wang Zhenpo , Shi Jinkai , Wang Zhihao
Published: October 2024

This study proposes a charging efficiency calculation model based on an equivalent internal resistance framework. A data-driven neural network model is developed to predict the charging efficiency of lithium titanate (LTO) batteries for 5% state of charge (SOC) segments under various charging conditions. By considering the impact of entropy change on the open-circuit voltage (OCV) during the charging process, the accuracy of energy efficiency calculations is improved. Incorporating battery data under various charging conditions, and comparing the predictive accuracy and computational complexity of different hyperparameter configurations, we establish a backpropagation neural network model designed for implementation in embedded systems. The model predicts the energy efficiency of subsequent 5% SOC segments based on the current SOC and operating conditions. The results indicate that the model achieves a prediction error of only 0.29% under unknown charging conditions while also facilitating the deployment of the neural network model in embedded systems. In future applications, the relevant predictive data can be transmitted in real time to the cooling system for thermal generation forecasting and predictive control of battery systems, thereby enhancing temperature control precision and improving cooling system efficiency.
Sensory Discrimination Tests for Low- and High-Strength Alcohol
Authors: Franklin Ari , Shield Kevin D. , Rehm Jürgen , Lachenmeier Dirk W.
Published: October 2024

Research is limited on consumers’ ability to detect perceptible sensory differences between low- and high-strength alcoholic beverages. This study, therefore, conducted three pilot experiments using ISO sensory analysis methods to assess accuracy for evaluating beverages of different strengths. Participants were food production professionals trained in sensory analysis. Experiment 1 used a wide-range discrimination test to estimate low- to high-strength beverages (0–60% alcohol by volume (ABV) in 10% intervals). Experiment 2 included a narrower range of intermediate to high strengths (25–45% ABV in 5% intervals). Experiment 3 used 3-alternative forced choice tests (ISO 13301) to discriminate between beverages of varying strengths. Experiment 1 (n = 16) indicated that estimation ability was dependent upon the beverages’ ABV; as ABV increased, estimation significantly decreased (p < 0.005). These findings were not replicated in Experiment 2 (n = 13). In Experiment 3 (n = 17), a significant perceptible difference between high- and low-strength samples was observed in two of nine conditions (35% vs. 31% ABV (p = 0.009); 41% vs. 37% ABV (p = 0.037)). While people can detect large differences in beverage ABVs, they may have a moderate to poor ability to discriminate between beverages of similar strengths. These findings provide support for public health interventions that promote lower-strength alcoholic beverages.
Novel Approaches for the Treatment of Maxillofacial Defects
Authors: Medojevic Mina , Jakovljevic Aleksandar , Devillard Raphaël , Kérourédan Olivia
Published: October 2024

Maxillofacial defects, located in a region characterized by a complex interplay of soft and hard tissues, along with a sophisticated capillary and neural network, have long posed significant challenges in both clinical practice and research [...]
Effects of Genipin Crosslinking of Porcine Perilimbal Sclera on Mechanical Properties and Intraocular Pressure
Authors: Riesterer John , Warchock Alexus , Krawczyk Erik , Ni Linyu , Kim Wonsuk , Moroi Sayoko E. , Xu Guan , Argento Alan
Published: October 2024

The mechanical properties of sclera play an important role in ocular functions, protection, and disease. Modulating the sclera’s properties by exogenous crosslinking offers a way to expand the tissue’s range of properties for study of the possible influences on the eye’s behavior and diseases such as glaucoma and myopia. The focus of this work was to evaluate the effects of genipin crosslinking targeting the porcine perilimbal sclera (PLS) since the stiffness of this tissue was previously found in a number of studies to influence the eye’s intraocular pressure (IOP). The work includes experiments on tensile test specimens and whole globes. The specimen tests showed decreased strain-rate dependence and increased relaxation stress due to the cross-linker. Whole globe perfusion experiments demonstrated that eyes treated with genipin in the perilimbal region had increased IOPs compared to the control globes. Migration of the cross-linker from the target tissue to other tissues is a confounding factor in whole globe, biomechanical measurements, with crosslinking. A novel quantitative genipin assay of the trabecular meshwork (TM) was developed to exclude globes where the TM was inadvertently crosslinked. The perfusion study, therefore, suggests that elevated stiffness of the PLS can significantly increase IOP apart from effects of the TM in the porcine eye. These results demonstrate the importance of PLS biomechanics in aqueous outflow regulation and support additional investigations into the distal outflow pathways as a key source of outflow resistance.
Is There a Role for Immunostimulant Bacterial Lysates in the Management of Respiratory Tract Infection?
Authors: Di Gioacchino Mario , Santilli Francesca , Pession Andrea
Published: October 2024

Bacterial Lysates are immunostimulants clinically prescribed for the prevention of respiratory tract infections (RTIs). It has been shown that Bacterial Lysates upregulate the immune system, acting both on innate and adaptive reactions. In fact, there are demonstrations of their efficacy in restoring the integrity and immune function of epithelial barriers, activating ILC3 and dendritic cells with an enhanced Th1 response, and producing serum IgG and serum and salivary IgA specific to the administered bacterial antigens. The activated immune system also protects against other bacteria and viruses due to a trained immunity effect. Most studies show that the number of RTIs and their severity decrease in Bacterial Lysates-pretreated patients, without relevant side effects. The Bacterial Lysates treatment, in addition to reducing the number of RTIs, also prevents the deterioration of the underlying disease (i.e., COPD) induced by repeated infections. Despite these positive data, the most recent meta-analyses evidence the weakness of the studies performed, which are of low quality and have an inadequate number of patients, some of which were non-randomized while others were without a control group or were performed contemporarily in different clinical conditions or with different ages. The high heterogeneity of the studies does not allow us to state Bacterial Lysates’ effectiveness in preventing RTIs with sufficient certainty. To completely define their indications, double-blind, placebo-controlled, multicenter, randomized clinical trials should be performed for each product and for each indication. The study population should be adequate for each indication. For this purpose, an adequate run-in phase will be necessary.
Triple Jump Performance Parameters and Inter-Limb Asymmetry in the Kinematic Parameters of the Approach Run in International and Paralympic-Level Class T46/T47 Male Athletes
Authors: García-Fresneda Adrián , Panoutsakopoulos Vassilios , Kotzamanidou Mariana C. , Padullés Riu Josep-Maria , Torralba Jordán Miguel Angel , López-del Amo José Luís , Padullés Xavier , Athanasakis Petros , Exell Timothy A. , Theodorou Apostolos S.
Published: October 2024

Background/Objectives: The triple jump is included in the Paralympic Athletics competition. The aim of the research was to examine the relationship of the phase ratios and the inter-limb asymmetry in the spatiotemporal parameters of the approach run in Paralympic and international-level Class T46/T47 triple jumpers. Methods: Eleven Class T46/T47 male athletes were recorded during the examined competitions. Step length (SL), frequency (SF), and average velocity (ASV) for the late approach run as well as the length and the percentage distribution of each jumping phase (hop, step, jump) were measured using a panning video analysis method. The inter-limb asymmetry was estimated using the symmetry angle. Results: No significant inter-limb asymmetry was found (p > 0.05). In addition, SL, SF, and ASV were not different (p > 0.05) between the steps initiated from the ipsilateral and the contralateral leg regarding the impaired arm. However, the direction of asymmetry for SF was towards the ipsilateral leg to the impaired arm in the majority of the examined athletes. The maximum speed of the approach was correlated with the triple jump distance and the magnitude of asymmetry for AVS was correlated with the vertical take-off velocity and angle for the step. Conclusions: Since the distance of the triple jump related with the peak approach speed added the negative correlation of peak approach speed with the magnitude of the symmetry angle for SL, it is suggested to minimize the asymmetries in the step characteristics during the approach run to improve triple jump performance in Class T46/T47 jumpers.
Bleeding Complications of Anticoagulation Therapy in Clinical Practice—Epidemiology and Management: Review of the Literature
Authors: Kocjan Maciej , Kosowski Michał , Mazurkiewicz Michalina , Muzyk Piotr , Nowakowski Krzysztof , Kawecki Jakub , Morawiec Beata , Kawecki Damian
Published: October 2024

Due to their very wide range of indications, anticoagulants are one of the most commonly used drug groups. Although these drugs are characterized by different mechanisms of action, the most common complication of their use is still bleeding episodes, the frequency of which depends largely on the clinical condition of the patient using such therapy. For this reason, to this day, the best method of preventing bleeding complications remains the assessment of bleeding risk using scales such as HAS-BLED. There are many reports in the literature assessing the occurrence of this type of complication after the use of drugs affecting the coagulation process, as well as many reports comparing individual groups of drugs with different mechanisms of action. However, there are still no clear guidelines that would indicate which group of anticoagulants should be preferred in particular groups of patients. The aim of our article is to summarize the data collected so far regarding the safety of using specific groups of anticoagulants and the frequency of bleeding complications after their use.
Cognitive Effects of Transcranial Direct Current Stimulation Plus Robotic Verticalization in Minimally Conscious State
Authors: Gangemi Antonio , De Luca Rosaria , Fabio Rosa Angela , Bonanno Mirjam , Cardile Davide , Mignacca Maria Randazzo , Rifici Carmela , Corallo Francesco , Quartarone Angelo , Impellizzeri Federica , Calabrò Rocco Salvatore
Published: October 2024

Background and Objectives: Transcranial direct current stimulation (tDCS) is a non-invasive therapeutic method that modulates cortical excitability and shows promising results for treating disorders of consciousness (DoCs). Robotic verticalization training (RVT) has been shown to enhance motor and cognitive recovery. This study evaluates the effects of an innovative approach combining RVT with tDCS in individuals with DoCs. Methods: Twenty-four subjects with DoCs, particularly those with chronic minimally conscious state (MCS) due to vascular or traumatic brain injury, participated in a quasi-randomized study at the Neurorehabilitation Unit, IRCCS Neurolesi (Messina, Italy). Participants were divided into either a control group (CG) receiving RVT alone or an experimental group (EG) receiving combined tDCS and RVT. Both groups underwent treatments five times weekly for four weeks, with tDCS/sham sessions over the dorsolateral prefrontal cortex (DLPFC) lasting 20 min before Erigo training sessions, which lasted 45 min. Results: The findings indicate that combining tDCS with Erigo® Pro RTT could lead to greater improvements in cognitive functioning and P300 latency compared to the CG. Conclusions: These results suggest that the integrated approach of tDCS with RVT could offer significant benefits for patients with MCS, highlighting its potential to enhance cognitive recovery, such as reducing P300 latency.
Tetraspanins, GLAST and L1CAM Quantification in Single Extracellular Vesicles from Cerebrospinal Fluid and Serum of People with Multiple Sclerosis
Authors: Bravo-Miana Rocío Del Carmen , Arizaga-Echebarria Jone Karmele , Sabas-Ortega Valeria , Crespillo-Velasco Hirune , Prada Alvaro , Castillo-Triviño Tamara , Otaegui David
Published: October 2024

Objective: This study aimed to unravel the single tetraspanin pattern of extracellular vesicles (EVs), L1CAM+ and GLAST+ EV levels as diagnostic biomarkers to stratify people with multiple sclerosis (pwMS), specifically relapsing–remitting (RRMS) and primary progressive (PPMS). Methods: The ExoView platform was used to directly track single EVs using a clinically feasible volume of cerebrospinal fluid (CSF) and serum samples. This technology allowed us to examine the patterns of classical tetraspanin and quantify the levels of L1CAM and GLAST proteins, commonly used to immunoisolate putative neuron- and astrocyte-derived EVs. Results: The tetraspanin EV pattern does not allow us to differentiate RRMS, PPMS and non-MS donors neither in CSF nor serum, but this was associated with the type of biofluid. L1CAM+ and GLAST+ EVs showed a very low presence of tetraspanin proteins. Additionally, a significant decrease in the particle count of L1CAM+ EVs was detected in L1CAM-captured spots, and L1CAM+ and GLAST+ EVs decreased in GLAST-captured spots in the CSF from PPMS subjects compared to RRMS. Interestingly, only GLAST+ EVs exhibited a lower quantity in the CSF from PPMS compared to both MS and non-MS samples. Finally, GLAST+ EVs demonstrated a medium negative and significative correlation with GFAP levels—a biomarker of MS progression, astrocyte damage and neurodegenerative processes. Conclusions: ExoView technology could track neural EV biomarkers and be potentially useful in the diagnostic evaluation and follow-up of pwMS. GLAST+ EVs might provide insights into the etiology of PPMS and could offer small windows to elucidate the molecular mechanisms behind its clinical presentation.
The Role of the Pancreatic Extracellular Matrix as a Tissue Engineering Support for the Bioartificial Pancreas
Authors: Santos da Silva Thamires , Silva-Júnior Leandro Norberto da , Horvath-Pereira Bianca de Oliveira , Valbão Maria Carolina Miglino , Garcia Matheus Henrique Herminio , Lopes Juliana Barbosa , Reis Carlos Henrique Bertoni , Barreto Rodrigo da Silva Nunes , Buchaim Daniela Vieira , Buchaim Rogerio Leone , Miglino Maria Angelica
Published: October 2024

Type 1 diabetes mellitus (T1DM) is a chronic condition primarily managed with insulin replacement, leading to significant treatment costs. Complications include vasculopathy, cardiovascular diseases, nephropathy, neuropathy, and reticulopathy. Pancreatic islet transplantation is an option but its success does not depend solely on adequate vascularization. The main limitations to clinical islet transplantation are the scarcity of human pancreas, the need for immunosuppression, and the inadequacy of the islet isolation process. Despite extensive research, T1DM remains a major global health issue. In 2015, diabetes affected approximately 415 million people, with projected expenditures of USD 1.7 trillion by 2030. Pancreas transplantation faces challenges due to limited organ availability and complex vascularization. T1DM is caused by the autoimmune destruction of insulin-producing pancreatic cells. Advances in biomaterials, particularly the extracellular matrix (ECM), show promise in tissue reconstruction and transplantation, offering structural and regulatory functions critical for cell migration, differentiation, and adhesion. Tissue engineering aims to create bioartificial pancreases integrating insulin-producing cells and suitable frameworks. This involves decellularization and recellularization techniques to develop biological scaffolds. The challenges include replicating the pancreas’s intricate architecture and maintaining cell viability and functionality. Emerging technologies, such as 3D printing and advanced biomaterials, have shown potential in constructing bioartificial organs. ECM components, including collagens and glycoproteins, play essential roles in cell adhesion, migration, and differentiation. Clinical applications focus on developing functional scaffolds for transplantation, with ongoing research addressing immunological responses and long-term efficacy. Pancreatic bioengineering represents a promising avenue for T1DM treatment, requiring further research to ensure successful implementation.
A Multi-Channel Urine Sensing Detection System Based on Creatinine, Uric Acid, and pH
Authors: Gao Qiya , Fu Jie , Xiong Fangying , Wang Jiawang , Qin Ziyue , Li Shuang
Published: October 2024

Urine analysis represents a crucial diagnostic technique employed in clinical laboratories. Creatinine and uric acid in urine are essential biomarkers in the human body and are widely utilized in clinical analysis. Research has demonstrated a correlation between the normal physiological concentrations of creatinine and uric acid in urine and an increased risk of hypertension, cardiovascular diseases, and kidney disease. Furthermore, the pH of urine indicates the body’s metabolic processes and homeostatic balance. In this study, an integrated multi-channel electrochemical sensing system was developed, combining electrochemical analysis techniques, microelectronic design, and nanomaterials. The architecture of an intelligent medical detection system and the production of an interactive interface for smartphones were accomplished. Initially, multi-channel selective electrodes were designed for creatinine, uric acid, and pH detection. The detection range was 10 nM to 100 μM for creatinine, 100 μM to 500 μM for uric acid, and 4 to 9 for pH. Furthermore, interference experiments were also conducted to verify the specificity of the sensors. Subsequently, multi-channel double-sided sensing electrodes and function-integrated hardware were designed, with the standard equations of target analytes stored in the system’s read-only memory. Moreover, a WeChat mini-program platform was developed for smartphone interaction, enabling off-body detection and real-time display of target analytes through smartphones. Finally, the aforementioned electrochemical detection electrodes were integrated with the smart sensing system and wirelessly interfaced with smartphones, allowing for intelligent real-time detection in primary healthcare and individual household settings.
Clinical Feasibility of Applying Immersive Virtual Reality during Robot-Assisted Gait Training for Individuals with Neurological Diseases: A Pilot Study
Authors: Munari Daniele , von Wartburg Angela , Garcia-Marti Veronica G. , Zadravec Matjaž , Matjačić Zlatko , Veneman Jan F.
Published: October 2024

Background: Immersive virtual reality has the potential to motivate and challenge patients who need and want to relearn movements in the process of neurorehabilitation. Objective: The aim of this study was to evaluate the feasibility and user acceptance of an innovative immersive virtual reality system (head-mounted display) used in combination with robot-assisted gait training in subjects suffering from neurological diseases. Methods: Fifteen participants suffering from cerebrovascular accident or spinal cord injury completed a single session of immersive virtual reality using a head-mounted display during a Lokomat® gait session. Training parameters and safety indicators were collected, and acceptance was investigated among participants and therapists. Results: The results suggest that an immersive virtual reality system is feasible in terms of safety and tolerance. Furthermore, the very positive overall acceptance of the system suggests that it has the potential to be included in a robot-assisted gait training session using Lokomat®. Conclusion: Overall, this study demonstrates that a fully immersive virtual reality system based on a head-mounted display is both feasible and well received by cerebrovascular accident and spinal cord injury patients and their therapists during robot-assisted gait training. This study suggests that such a virtual reality system could be a viable alternative to the screen-based training games currently used in neurorehabilitation. It may be especially suitable for enhancing patient motivation and adherence to training, particularly if the application is enjoyable and not mentally taxing.
Innovative Strategies and Transformations in the Montilla–Moriles Wine-Production Area: Adaptation and Success in the Global Market
Authors: Fuentes-García Fernando J. , Sánchez-Cañizares Sandra M. , González-Mohíno Miguel , Cabeza-Ramírez L. Javier
Published: October 2024

This study examines the transformative changes in the wine industry of Southern Europe over recent decades, focusing on one of Spain’s oldest Protected Designations of Origin (PDO), Montilla–Moriles. The region faced severe challenges during the second wave of globalization at the beginning of the 21st century. According to the 1999 Strategic Plan for this PDO, far-reaching strategic actions were needed; 25 years later, however, fewer than half of the original companies remain. To understand this complex issue, a qualitative analysis was conducted using case studies and in-depth interviews with key stakeholders in the sector. The paper presents several success stories featuring companies with strong dynamic capabilities: Bodegas Robles, Lagar de la Salud, and Tonelería del Sur–Casknolia. These companies were selected for their notable growth, contrary to the general industry trend, their diverse strategies, and their role in revitalizing the Montilla–Moriles wine market. Their success is attributed to a blend of traditional expertise, innovation, sustainability, and strategic internationalization. The findings of this study reveal that despite the industry’s challenges, innovative initiatives can thrive by leveraging global market opportunities.
Efficacy and Safety of Fluorescence-Guided Surgery Compared to Conventional Surgery in the Management of Colorectal Cancer: A Systematic Review and Meta-Analysis
Authors: Fadel Michael G. , Zonoobi Elham , Rodríguez-Luna María Rita , Mishima Kohei , Ris Frédéric , Diana Michele , Vahrmeijer Alexander L. , Perretta Silvana , Ashrafian Hutan , Fehervari Matyas
Published: October 2024

Background: The use of fluorescence agents and imaging systems is a promising adjunct in the surgical management of colorectal cancer. This systematic review and meta-analysis aimed to assess the safety and efficacy of fluorescence-guided surgery in the management of colorectal cancer, with a comparison to conventional (non-fluorescence-guided) surgery. Methods: A literature search of MEDLINE, Embase, Emcare, and CINAHL databases was performed for studies that reported data on the outcomes of fluorescence-guided surgery, with or without a comparison group undergoing conventional surgery, for colorectal cancer between January 2000 and January 2024. A meta-analysis was performed using random-effect models, and between-study heterogeneity was assessed. Results: 35 studies of 3217 patients with colorectal cancer were included: 26 studies (964 patients) reported on fluorescence-guided surgery and 9 studies (2253 patients) reported on fluorescence versus conventional surgery. The weighted mean of the cancer detection rate of fluorescence-guided surgery was 71% (95% CI 0.55–0.85), with no significant difference in lymph node yield ratio (WMD −0.04; 95% CI −0.10–0.02; p = 0.201) between fluorescence and conventional surgery groups. There was a significantly lower blood loss (WMD −4.38; 95% CI −7.05–−1.70; p = 0.001) and complication rate (WMD −0.04; 95% CI −0.07–0.00; p = 0.027) in the fluorescence-guided surgery group, with a potentially lower anastomotic leak rate (WMD −0.05; 95% CI −0.10–0.01; p = 0.092). Conclusions: Fluorescence-guided surgery is a safe and effective approach in the management of colorectal cancer, potentially reducing blood loss and complications. Further randomised controlled trials are required comparing fluorescence-guided surgery with conventional surgery to determine its prognostic benefit and where it should precisely fit within the management pathway of colorectal cancer.
The Landscape of Cutaneous T-Cell Lymphoma (CTCL) in the Middle East and North Africa (MENA) and the Establishment of the MENA CTCL Working Group
Authors: Abdel Tawab Rasha , Rajy Jihan , Abdallat Salah , Almurrawi Muna Abdula , Al Farsi Khalil , Alassaf Jehad , Alhateeti Hussni , Al Lafi Atlal , El Bahtimi Reem , Jfri Abdulhadi , Assaf Chalid
Published: October 2024

The high cancer burden in the Middle East and North Africa (MENA region) is coupled with an increasing cancer incidence. While the MENA region constitutes 6% of the world’s population, it remains underrepresented in clinical trials. Cutaneous T-cell lymphomas (CTCLs) represent a heterogeneous group of rare extranodal non-Hodgkin lymphomas with variable clinical presentation. In the MENA region, where darker skin colors are more common than in the West, CTCL generally presents at a younger age and with distinct clinical features that necessitate special expertise and management across disciplines: rare forms of CTCL are more common (hypo- and hyperpigmented MF) and a higher prevalence of pediatric MF is noticed. The multidisciplinary approach to cancer management is growing worldwide and is necessary for the comprehensive management of CTCL. The MENA CTCL group was established with the aim of creating a collaborative environment for the diagnosis and treatment of CTCL in the region. Its first meeting was held in May 2023. The group plans to increase the global representation of the MENA region and establish CTCL registries and patient advocacy groups in the region.
A Zinc Oxide Nanorod-Based Electrochemical Aptasensor for the Detection of Tumor Markers in Saliva
Authors: Li Junrong , Ding Yihao , Shi Yuxuan , Liu Zhiying , Lin Jun , Cao Rui , Wang Miaomiao , Tan Yushuo , Zong Xiaolin , Qu Zhan , Du Liping , Wu Chunsheng
Published: October 2024

Biosensors have emerged as a promising tool for the early detection of oral squamous cell carcinoma (OSCC) due to their rapid, sensitive, and specific detection of cancer biomarkers. Saliva is a non-invasive and easy-to-obtain biofluid that contains various biomarkers of OSCC, including the carcinoembryonic antigen (CEA). In this study, an electrochemical aptasensor for the detection of CEA in saliva has been developed towards the diagnosis and early screening of OSCC. This aptasensor utilized a CEA-sensitive aptamer as sensitive elements. A fluorine-doped Tin Oxide (FTO) chip with a surface modification of a zinc oxide nanorod was employed as a transducer. Electrochemical measurements were carried out to detect the responsive signals originating from the specific binding between aptamers and CEAs. The measurement results indicated that this aptasensor was responsive to different concentrations of CEA ranging from 1 ng/mL to 80 ng/mL in a linear relationship. The limit of detection (LOD) was 0.75 ng/mL. This aptasensor also showed very good specificity and regenerative capability. Stability testing over a 12-day period showed excellent performance of this aptasensor. All the results demonstrated that this aptasensor has great potential to be used for the detection of CEA in the saliva of OSCC patients. This aptasensor provides a promising method for the rapid detection of CEA with convenience, which has great potential to be used as a new method for clinical diagnoses and early screening of OSCC.
Utility of a Questionnaire Short Form for Adolescents with Listening Difficulties in Japan
Authors: Obuchi Chie , Sasame Yuka , Yamamoto Yayoi , Ashitani Michiko
Published: October 2024

Background: A short and easy questionnaire is needed to identify symptoms of listening difficulties (LiD) at an early stage. This study aimed to evaluate the utility of such a questionnaire for adolescents with and without LiD. Methods: We included adolescents with and without LiD and adults without LiD in this study. We utilized a questionnaire designed for individuals with LiD, which combined the Speech, Spatial, and Quality of Hearing scales (SSQ)-12 and four additional psychological items. From this, we selected three items that exhibited the largest differences between adolescents with and without LiD. We subsequently examined the relationship between the total scores of all items and the three selected items to develop the short questionnaire. Results: The responses of adolescents to the questionnaire were consistent with those of adults. The total scores from the three selected items exhibited a strong correlation with the overall questionnaire score for adolescents both with and without LiD, indicating their potential for identifying LiD symptoms. Conclusions: The wide implementation of the short questionnaire developed in this study could lead to the early detection of potential LiD symptoms and timely intervention.
A Comprehensive Revision of Radiation Immunotherapy and the Abscopal Effect in Central Nervous System Metastases: Reassessing the Frontier
Authors: Moscardini-Martelli Júlia , Rodríguez-Camacho Alejandro , Torres-Ríos Jorge Alejandro , Meraz-Soto Juan Marcos , Flores-Vázquez José Guillermo , Hernández-Sánchez Laura Crystell , Lozano-Ruiz Francisco Javier , Maldonado-Magos Federico , Cid-Sánchez Dharely , Flores-Balcázar Christian Haydeé , Celis-López Miguel Ángel , Gutiérrez-Aceves Guillermo Axayacatl , Flores-Vázquez Fabiola , Moreno-Jiménez Sergio
Published: October 2024

Seventy years ago, Robin Mole introduced the concept of the abscopal effect to describe a rare phenomenon. This occurs when local radiation triggers an immune-mediated reduction in tumors outside the treated area but within the same organism. Observing this effect has been linked to improved overall and progression-free survival in patients who experience it. While the abscopal effect was once considered rare, it is now being observed more frequently due to the combination of radiation with immunotherapy. As a result, more researchers are exploring this study area, which shows promise for excellent results. This review focuses explicitly on the immunological implications of activating the abscopal effect through ionizing radiation in the central nervous system and explores the potentially involved immunological pathways.
Enhanced RBD-Specific Antibody Responses and SARS-CoV-2-Relevant T-Cell Activity in Healthcare Workers Following Booster Vaccination
Authors: Souan Lina , Abdel-Razeq Hikmat , Sughayer Maher A.
Published: October 2024

COVID-19 continues to impact healthcare workers (HCWs), making it crucial to investigate vaccine response rates. This study examined HCWs’ humoral and cellular immunological responses to COVID-19 booster dosages. We enrolled thirty-four vaccinated HCWs. Twelve received a booster. Post-immunization, the participants’ anti-COVID-19 IgG antibodies and IFN-γ secretion were assessed. The median second immunization response time was 406.5 days. Eighteen of twenty-two (81.8%) experienced breakthrough infections after the second vaccination, whereas ten out of twelve individuals who received booster doses had breakthrough infections (83.3%). Six of thirty-four HCWs (17.6%) had no breakthrough infections. Booster-injection recipients had a median antibody titer of 19,592 AU/mL, compared to 7513.55 AU/mL. HCWs with breakthrough infections exhibited a median antibody titer of 13,271.9 AU/mL, compared to 7770.65 AU/mL for those without infections. Breakthrough-infection and booster-injection groups had a slightly higher median T-cell response to antigens 1, 2, and 3. SARS-CoV-2 antibody titer and T-cell responsiveness were positively associated. HCWs sustain cellular and humoral immunity for over 10 months. Irrespective of the type of vaccine, booster injections enhance these immune responses. The results of our research are consistent with previous studies, and a multicenter investigation could validate the findings.