bluuebunny/crossref_metadata_2025 huggingface dataset:
Fractal Scale Effect in Quasi-Brittle Materials Using a Version of the Discrete Element Method
Authors: Kosteski Luis Eduardo , Friedrich Leandro Ferreira , Costa Matheus Machado , Bremm Caroline , Iturrioz Ignacio , Xu Jie , Lacidogna Giuseppe
Published: November 2024

In engineering applications, it is crucial to consider the size dependence of a material’s mechanical properties and its overall behavior. One of the theories that quantifies this phenomenon in quasi-brittle materials is the cohesive fractal theory (CFT) introduced by Carpinteri and his collaborators. This theory describes the behavior of materials using fractal dimensions. To investigate whether the scale effect can be analyzed using the CFT, a version of the Lattice Discrete Element Method (LDEM) is employed. The accuracy of the LDEM in capturing the scale effect is evaluated through simulations of three primary tests. Specifically, rock specimens are subjected to tensile, compressive, and bending loads to determine their mechanical properties. The influence of material heterogeneity and boundary conditions is also examined. In scenarios involving tensile and bending loads, the localization of a significant crack leads to failure. According to the CFT, the sum of the fractal exponents is close to unity, with values of 1.0 (mean value) for tensile loading and 0.97 for bending loading. However, the compressive loading results do not exhibit this characteristic, as no single prominent crack leads to failure. Overall, the LDEM results are consistent with the CFT, effectively quantifying the scale effect without modifying the elementary constitutive law.
Fractional Calculus Applied to the Generalized Model and Control of an Electrohydraulic System
Authors: Robles Edgar Hiram , Torres Felipe J. , Balvantín-García Antonio J. , Martínez-Ramírez Israel , Capilla Gustavo , Ramírez-Paredes Juan-Pablo
Published: November 2024

In this paper, fractional calculus is used to develop a generalized fractional dynamic model of an electrohydraulic system composed of a servo valve and a hydraulic cylinder, where a fractional position controller PIγDμ is proposed for minimizing the performance index according to the integral of the time-weighted absolute error (ITAE). First, the general mathematical equations of the cylinder and servo valve are used to obtain the transfer functions in fractional order by applying Caputo’s definition and a Laplace transform. Then, through a block diagram of the closed-loop system without a controller, the fractional model is validated by comparing its performance concerning the integer-order electrohydraulic system model reported in the literature. Subsequently, a fractional PID controller is designed to control the cylinder position. This controller is included in the closed-loop system to determine the fractional exponents of the transfer functions of the servo valve, cylinder, and control, as well as to tune the controller gains, by using the ITAE objective function, with a comparison of the following: (1) the electrohydraulic system model in integer order and the controller in fractional order; (2) the electrohydraulic system model in fractional order and the controller in integer order; and (3) both the system model and the controller in fractional order. For each of the above alternatives, numerical simulations were carried out using MATLAB®/Simulink® R2023b and adding white noise as a perturbation. The results show that strategy (3), where electrohydraulic system and controller model are given in fractional order, develops the best performance because it generates the minimum value of ITAE.
Sustainability Assessment of Alternative Energy Fuels for Aircrafts—A Life Cycle Analysis Approach
Authors: Nanaki Evanthia A. , Kiartzis Spyros
Published: November 2024

Aviation is of crucial importance for the transportation sector and fundamental for the economy as it facilitates trade and private travel. Nonetheless, this sector is responsible for a great amount of global carbon dioxide emissions, exceeding 920 million tonnes annually. Alternative energy fuels (AEFs) can be considered as a promising solution to tackle this issue, with the potential to lower greenhouse gas emissions and reduce reliance on fossil fuels in the aviation industry. A life cycle analysis is performed considering an aircraft running on conventional jet fuel and various alternative fuels (biojet, methanol and DME), including hydrogen and ammonia. The comparative assessment investigates different fuel production pathways, including the following: JETA-1 and biojet fuels via hydrotreated esters and fatty acids (HEFAs), as well as hydrogen and ammonia employing water electrolysis using wind and solar photovoltaic collectors. The outputs of the assessment are quantified in terms of carbon dioxide equivalent emissions, acidification, eutrophication, eco-toxicity, human toxicity and carcinogens. The life cycle phases included the following: (i) the construction, maintenance and disposal of airports; (ii) the operation and maintenance of aircrafts; and (iii) the production, transportation and utilisation of aviation fuel in aircrafts. The results suggest that hydrogen is a more environmentally benign alternative compared to JETA-1, biojet fuel, methanol, DME and ammonia.
Unraveling the Anthocyanin Regulatory Mechanisms of White Mutation in Verbena stricta by Integrative Transcriptome and Metabolome Analysis
Authors: Chai Shengyue , Yang Jiaming , Zhang Xiaofei , Shang Xuwen , Lang Lixin
Published: November 2024

Background: Verbena stricta is a perennial herb of the Verbenaceae family, known for its medicinal properties, wide adaptability, and high resistance. Methods: This research investigated the metabolic pathways of flower color change by combining transcriptome and metabolomics analyses. Results: In purple flowers and white variants, a total of 118 differentially accumulated metabolites (DAMs), including 20 anthocyanins, and 7627 differentially expressed genes (DEGs) were found. The downregulation of delphinidin-3-O-galactoside, delphinidin-3-O-glucoside, and delphinidin-3-O-(6″-O-p-coumaroyl) glucoside, along with the absence of petunidin and malvidin derivatives, may explain the loss of pigmentation in the white-flower mutant. Fourteen candidate genes involved in anthocyanin biosynthesis were identified, among which the expression of Flavonoid 3′, 5′-hydroxylase (F3′5′H) was significantly downregulated, notably limiting flux through the delphinidin pathway and reducing delphinidin accumulation. This limitation in upstream reactions, coupled with the multi-shunt process in downstream reactions, completely blocked the production of petunidin and malvidin. Conclusions: These findings offer new opinions on the anthocyanin metabolites and key genes responsible for the floral pigmentation in V. stricta. Additionally, the white variant provides a valuable platform for future research into the ornamental flower color of the Verbenaceae family.
Integrating Emerging Technologies with Digital Twins for Heritage Building Conservation: An Interdisciplinary Approach with Expert Insights and Bibliometric Analysis
Authors: Mazzetto Silvia
Published: November 2024

This review paper presents an interdisciplinary exploration of integrating emerging technologies, including digital twins (DTs), building information modeling (BIM), 3D laser scanning, machine learning (ML), and the Internet of Things (IoT), in the conservation of heritage buildings. Through a comprehensive literature review spanning from 1996 to 2024, expert interviews, a bibliometric analysis, and content analysis, the study highlights a significant shift toward a preventive approach to conservation, focusing on less invasive methods to ensure long-term preservation. It highlights the revolutionary impact of detailed digital representations and real-time monitoring on enhancing conservation efforts. The findings underscore significant research gaps, such as the need for standardized information protocols and the integration of DTs with BIM, while pointing to the potential of AR and VR in enriching heritage experiences. The paper advocates for a multidisciplinary approach to effectively harness these technologies, offering innovative solutions for the sustainable preservation of cultural heritage.
ImageOP: The Image Dataset with Religious Buildings in the World Heritage Town of Ouro Preto for Deep Learning Classification
Authors: Ottoni André Luiz Carvalho , Ottoni Lara Toledo Cordeiro
Published: November 2024

Artificial intelligence has significant applications in computer vision studies for cultural heritage. In this research field, visual inspection of historical buildings and the digitization of heritage using machine learning models stand out. However, the literature still lacks datasets for the classification and identification of Brazilian religious buildings using deep learning, particularly with images from the historic town of Ouro Preto. It is noteworthy that Ouro Preto was the first Brazilian World Heritage Site recognized by UNESCO in 1980. In this context, this paper aims to address this gap by proposing a new image dataset, termed ImageOP: The Image Dataset with Religious Buildings in the World Heritage Town of Ouro Preto for Deep Learning Classification. This new dataset comprises 1613 images of facades from 32 religious monuments in the historic town of Ouro Preto, categorized into five classes: fronton (pediment), door, window, tower, and church. The experiments to validate the ImageOP dataset were conducted in two stages: simulations and computer vision using smartphones. Furthermore, two deep learning structures (MobileNet V2 and EfficientNet B0) were evaluated using Edge Impulse software. MobileNet V2 and EfficientNet B0 are architectures of convolutional neural networks designed for computer vision applications aiming at low computational cost, real-time classification on mobile devices. The results indicated that the models utilizing EfficientNet achieved the best outcomes in the simulations, with accuracy = 94.5%, precision = 96.0%, recall = 96.0%, and F-score = 96.0%. Additionally, superior accuracy values were obtained in detecting the five classes: fronton (96.4%), church (97.1%), window (89.2%), door (94.7%), and tower (95.4%). The results from the experiments with computer vision and smartphones reinforced the effectiveness of the proposed dataset, showing an average accuracy of 88.0% in detecting building elements across nine religious monuments tested for real-time mobile device application. The dataset is available in the Mendeley Data repository.
Identifying and Ranking Strategies to Address Housing Insecurity and Homelessness Within the LGBTQIA+ Community in Southern Nevada: Utilization of Community-Based Participatory Research and Concept Mapping
Authors: Terry Emylia , Pharr Jennifer , Liboro Renato M. , Coughenour Courtney , Kittle Krystal , Waldron John , Flatt Jason D.
Published: November 2024

Housing insecurity is a critical issue within Southern Nevada. However, little is known about the housing-insecurity-related needs of LGBTQIA+ Southern Nevadans. The aim of this study was to identify strategies to address housing insecurity among this vulnerable community. Utilizing community-based participatory research and concept mapping, the most salient solutions were identified and prioritized at a Community Housing Forum. This Forum brought together stakeholders with expertise in housing or who work with the LGBTQIA+ community. The most important identified solutions consistently emphasized the criticality of culturally competent mental health services; the need for affordable housing options; and various social and environmental factors. There is a continued need for research and collaboration among organizations and providers to better serve LGBTQIA+ individuals experiencing housing insecurity. Additional research is needed to determine the efficacy of the identified solutions and to inform the development of context-specific and broadly applicable strategies to address housing insecurity within this community.
Exploring Nonlinear Effects of the Built Environment on Employment Behavior Among Older Adults: Evidence from Metro Station Catchment Areas
Authors: Peng Bozhezi , Zhang Yi , Wang Tao , Li Chaoyang
Published: November 2024

Social interaction, such as voluntary employment, can promote well-being and mental health for older people. Since walking and public transit are two major commuting modes for older adults, understanding the determinants of older employment behavior near metro stations is critical for the government and urban planners to encourage older employment. Using the mobile signaling data of 1,640,145 older employees and other multi-source spatiotemporal datasets in Shanghai, the Light Gradient Boosting Machine (LightGBM) is employed in this study to explore the nonlinear effects of the built environment on older employment near 333 metro stations. Results show that density, diversity, and design variables have a significant contribution on older employment, while distance to the city center, employment density among all age groups, and the number of older residents are the top three important variables. Partial dependence plots reveal that all independent variables have irregular nonlinear impacts on older employment. Each variable needs to reach an associated threshold to maximize older employment, and their nonlinear impacts are only effective when they are within certain ranges. Research findings can promote older employment and benefit mental health among older people by helping the government prioritize urban planning policies or interventions.
Long Noncoding RNA lncRNA-3 Recruits PRC2 for MyoD1 Silencing to Suppress Muscle Regeneration During Aging
Authors: Zhang Zong-Kang , Guan Daogang , Xu Jintao , Li Xiaofang , Zhang Ning , Yao Shanshan , Zhang Ge , Zhang Bao-Ting
Published: November 2024

Lowered muscle regenerative capacity in the elderly greatly contributes to the development of multiple diseases. The specific roles of long noncoding RNAs (lncRNAs) in muscle regenerative capacity during aging remain unknown. Here, we identify an elevated lncRNA (lncRNA-3), in association with reduced MyoD expression and suppressed muscle regenerative capacity, in the skeletal muscle of aged mice. LncRNA-3 could interact with both the MyoD1 promoter and RbAp46/48, a subunit of Polycomb repressive complex 2 (PRC2). LncRNA-3 could recruit PRC2 to the MyoD1 promoter and enhance the MyoD1 silencing, which, in turn, suppressed the muscle regenerative capacity. Muscle-specific lncRNA-3 knockdown could restore the muscle regenerative capacity in the aged mice. Exogenous RbAp46/48 binding motif (Rb-motif-2) treatment in skeletal muscle could compete for the lncRNA-3 binding, and therefore, enhance the muscle regenerative capacity in the aged mice. Taken together, lncRNA-3 requires PRC2 for MyoD1 silencing to suppress muscle regenerative capacity during aging. These findings provide a novel therapeutic target and a new strategy to elevate the muscle regenerative capacity in the aged population.
Advances and Challenges in Gene Therapy for Neurodegenerative Diseases: A Systematic Review
Authors: García-González Nerea , Gonçalves-Sánchez Jaime , Gómez-Nieto Ricardo , Gonçalves-Estella Jesús M. , López Dolores E.
Published: November 2024

This review explores recent advancements in gene therapy as a potential treatment for neurodegenerative diseases, focusing on intervention mechanisms, administration routes, and associated limitations. Following the PRISMA procedure guidelines, we systematically analyzed studies published since 2020 using the PICO framework to derive reliable conclusions. The efficacy of various gene therapies was evaluated for Parkinson’s disease (n = 12), spinal muscular atrophy (n = 8), Huntington’s disease (n = 3), Alzheimer’s disease (n = 3), and amyotrophic lateral sclerosis (n = 6). For each condition, we assessed the therapeutic approach, curative or disease-modifying potential, delivery methods, advantages, drawbacks, and side effects. Results indicate that gene therapies targeting specific genes are particularly effective in monogenic disorders, with promising clinical outcomes expected in the near future. In contrast, in polygenic diseases, therapies primarily aim to promote cell survival. A major challenge remains: the translation of animal model success to human clinical application. Additionally, while intracerebral delivery methods enhance therapeutic efficacy, they are highly invasive. Despite these hurdles, gene therapy represents a promising frontier in the treatment of neurodegenerative diseases, underscoring the need for continued research to refine and personalize treatments for each condition.
Correction: Muñoz-Villagrán et al. The Thioredoxin Fold Protein (TFP2) from Extreme Acidophilic Leptospirillum sp. CF-1 Is a Chaperedoxin-like Protein That Prevents the Aggregation of Proteins under Oxidative Stress. Int. J. Mol. Sci. 2024, 25, 6905
Authors: Muñoz-Villagrán Claudia , Acevedo-Arbunic Javiera , Härtig Elisabeth , Sievers Susanne , Zühlke Daniela , Issotta Francisco , Mascayano Carolina , Jahn Dieter , Jahn Martina , Levicán Gloria
Published: November 2024

Susanne Sievers and Daniela Zühlke were not included as authors in the original publication [...]
Vascular Mesenchymal Stromal Cells and Cellular Senescence: A Two-Case Study Investigating the Correlation Between an Inflammatory Microenvironment and Abdominal Aortic Aneurysm Development
Authors: Teti Gabriella , Camiletti Riccardo , Gatta Valentina , Longhin Aurora , Falconi Mirella
Published: November 2024

An abdominal aortic aneurysm (AAA) is described as a gradual and localized permanent expansion of the aorta resulting from the weakening of the vascular wall. The key aspects of AAA’s progression are high proteolysis of the structural elements of the vascular wall, the depletion of vascular smooth muscle cells (VSMCs), and a chronic immunoinflammatory response. The pathological mechanisms underpinning the development of an AAA are complex and still unknown. At present, there are no successful drug treatments available that can slow the progression of an AAA or prevent the rupture of the aneurysmal vascular wall. Recently, it has been suggested that endothelial cellular senescence may be involved in vascular aging and vascular aging diseases, but there is no clear correlation between cellular senescence and AAAs. Therefore, the aim of this study was to identify the presence of senescent cells on the vascular wall of aneurysmatic abdominal aortas and to correlate their distribution with the morphological markers of AAAs. Pathological and healthy segments of abdominal aortas were collected during repair surgery and immediately processed for histological and immunohistochemical analyses. Hematoxylin/eosin, Verhoeff–van Gieson, and Goldner’s Masson trichrome staining procedures were carried out to investigate the morphological features related to the pathology. Immunohistochemical investigations for the p21cip1/waf1, p53, and NFkB markers were carried out to selectively identify positive cells in the vascular wall of the AAA samples related to cellular senescence and an inflammatory microenvironment. The results revealed the presence of a few senescent vascular cells on the aneurysmatic wall of the abdominal aortas, surrounded by a highly inflamed microenvironment that was highly expressed in the tunica media and adventitia of both pathological and healthy segments. Our data demonstrate the presence of senescent vascular cells in AAA samples, which could enhance the promotion of a high inflammatory vascular microenvironment, supporting the evolution of the pathology. Although this study was based on only two cases, the results highlight the importance of targeting cellular senescence to reduce an inflammatory microenvironment, which can support the progression of age-related diseases.
Potential Utility of A Proliferation-Inducing Ligand (APRIL) in Colorectal Cancer
Authors: Zajkowska Monika , Orywal Karolina , Gryko Mariusz
Published: November 2024

APRIL (A proliferation-inducing ligand) is a member of the tumor necrosis factor superfamily that is overexpressed in a variety of malignant tumors, including colorectal cancer (CRC). Its key physiological roles include inducing the immunoglobulin switch and ensuring plasmocyte survival. In terms of pathological roles, APRIL antagonism has been identified as a key target in autoimmune diseases and immunoglobulin disorders. As previously demonstrated, several inflammatory processes occur at the site of neoplastic initial stages, and their local symptoms are difficult to detect, particularly in the early stages. That is why we chose to study the current literature on APRIL’s role in the development of colorectal cancer. The main objective of our research was to investigate the role of APRIL in cancer initiation and its usefulness in the detection and therapy of CRC. Interestingly, the findings conducted so far show that the selected protein has a significant potential as a CRC biomarker and treatment target. Importantly, based on its concentration, it is possible to identify CRC patients, but whether the lesion has a benign or malignant nature, indicating the possibility of rapid detection of an ongoing disease process.
Amyloid Fibrils of the s36 Protein Modulate the Morphogenesis of Drosophila melanogaster Eggshell
Authors: Valina Anna A. , Siniukova Vera A. , Belashova Tatyana A. , Kanapin Alexander A. , Samsonova Anastasia A. , Masharsky Alexey E. , Lykholay Anna N. , Galkina Svetlana A. , Zadorsky Sergey P. , Galkin Alexey P.
Published: November 2024

Drosophila melanogaster is the oldest classic model object in developmental genetics. It may seem that various structures of the fruit fly at all developmental stages have been well studied and described. However, recently we have shown that some specialized structures of the D. melanogaster eggshell contain an amyloid fibril network. Here, we demonstrate that this amyloid network is formed by the chorionic protein s36. The s36 protein colocalizes with the amyloid-specific dyes Congo Red and Thioflavin S in the micropyle, dorsal appendages, and pillars. The fibrils of s36 obtained from the eggs demonstrate amyloid properties. In the context of the CG33223 gene deletion, the s36 protein is produced but is not detected in the eggshell. The absence of amyloid fibrils of s36 in the eggshell disrupts the endochorion morphology and blocks the development of the micropyle, dorsal appendages, and pillars, leading to sterility. Our data show for the first time that amyloid fibrils are essential for morphogenesis modulation. We suggest that attachment of follicle cells to the s36 extracellular fibrils triggers signaling to enable subsequent cellular divisions needed for building the specialized eggshell structures.
Microbiome–Metabolomics Analysis Insight into the Effects of Starvation and Refeeding on Intestinal Integrity in the Juvenile Largemouth Bass (Micropterus salmoides)
Authors: Zhao Zhenxin , Zhang Xianbo , Zhao Fei , Luo Tianxun
Published: November 2024

The effects of starvation and refeeding on the gut condition of juvenile largemouth bass (Micropterus salmoides) remain unclear. Therefore, our research aimed to explore these effects. Amylase and lipase activities were remarkably decreased in the starvation (ST) group, yet prominently increased in the refeeding (RE) group (p < 0.05). In addition to the malondialdehyde (MDA) level, catalase (CAT) and superoxide dismutase (SOD) activities were significantly upregulated in the ST group (p < 0.05) in marked contrast to those in the controls; however, the RE group showed no substantial variations in CAT and SOD activities or the MDA level (p > 0.05). During starvation, the expression of Nrf2-Keap1 pathway-associated genes was significantly upregulated (p < 0.05). The comparative levels of TNF-α, IL-1β, and IL-15 were highly increased, with the levels of TGF-β1 and IL-10 apparently downregulated in the ST group; in contrast, these levels were restored to their original values in the RE group (p < 0.05). In contrast to the controls, the ST group showed significantly lower height and width of the villi, muscle thickness, and crypt depth and a higher goblet cell number; however, these values were recovered to some extent in the RE group (p < 0.05). The dominant bacterial phyla in the intestines of both groups were Proteobacteria, Firmicutes, Bacteroidetes, Acidobacteria, and Actinobacteria, with marked inter-group differences in the genera Serratia and Lactobacillus. Metabolomics analysis showed that amino acid metabolism is disrupted during starvation and is restored after refeeding. In summary, this study expands our comprehension of the interaction between oxidative stress and antioxidant defenses among juvenile largemouth bass subjected to starvation and refeeding.
Evaluation of the Anti-Cancer Potential of Extracellular Vesicles Derived from Human Amniotic Fluid Stem Cells: Focus on Effective miRNAs in the Treatment of Melanoma Progression
Authors: Gatti Martina , Beretti Francesca , Ravegnini Gloria , Gorini Francesca , Ceneri Eleonora , Bertucci Emma , Follo Matilde Y. , Maraldi Tullia
Published: November 2024

Mesenchymal stromal cells (MSCs) and their secretome show intrinsic antitumor properties, however, the anti-cancer effects of MSCs remain debated and depend on the cancer type or model. MSCs derived from discarded samples, such as human amniotic fluid (hAFSC), have been introduced as an attractive and potent stem cell source for clinical applications due to their collection procedures, which minimize ethical issues. Until now, various studies have obtained controversial results and poor understanding of the mechanisms behind the effects of perinatal cells on cancer cells. To better clarify this aspect, protein and miRNA expression profiling isolated from Extracellular vesicles (EVs) secreted by hAFSCs, obtained in the II or III trimester, were evaluated. Bioinformatic analysis was performed aiming at evaluating differential expression, pathway enrichment, and miRNA-mRNA networks. We highlighted that most of the highest expressed proteins and miRNAs are mainly involved in antioxidant and anti-cancer effects. Indeed, in the presence of hAFSC-EVs, a reduction of the G2/M phase was observed on melanoma cell lines, an activation of the apoptotic pathway occurred and the migration and invasion ability reduced. Our data demonstrated that II or III trimester hAFSCs can release bioactive factors into EVs, causing an efficient anti-cancer effect inhibiting melanoma progression.
Impairment of Skeletal Muscle Contraction by Inhibitors of GABA Transporters
Authors: Fedorov Nikita S. , Sibgatullina Guzel V. , Malomouzh Artem I.
Published: November 2024

γ-Aminobutyric acid (GABA) has a significant impact on the functioning of not only the central but also the peripheral part of the nervous system. Recently, various elements of the GABAergic signaling system have been discovered in the area of the neuromuscular junction of mammals. At the same time, the functional activity of membrane-bound GABA transporters (GATs) and their role in neuromuscular transmission have not been identified. In the present study, performed on a neuromuscular preparation of the mouse diaphragm, the effect of GABA transporter inhibitors (nipecotic acid and β-alanine) on the force of muscle contraction was assessed. It was found that in the presence of both compounds in the bathing solution, the force of contractions caused by stimulation of the motor nerve dropped by 30–50%. However, when the muscle was stimulated directly, no effect of GABA transporter inhibitors on the contractile force was observed. The depressant effect of β-alanine induced by nerve stimulation was completely abolished by the GABAB receptor blocker CGP 55845. GABA transporters were detected at the neuromuscular junction using immunohistochemistry. Thus, our results indicate that GABA transporters are localized in the area of the neuromuscular junction, and their activity affects the muscle contraction force. This influence is most likely due to the removal of GABA released during nerve stimulation and activating GABA receptors, which leads to a decrease in the contraction force of the striated muscles.
Implicit-Causality-Exploration-Enabled Graph Neural Network for Stock Prediction
Authors: Li Ying , Xue Xiaosha , Liu Zhipeng , Duan Peibo , Zhang Bin
Published: November 2024

Accurate stock prediction plays an important role in financial markets and can aid investors in making well-informed decisions and optimizing their investment strategies. Relationships exist among stocks in the market, leading to high correlation in their prices. Recently, several methods have been proposed to mine such relationships in order to enhance forecasting results. However, previous works have focused on exploring the correlations among stocks while neglecting the causal characteristics, thereby restricting the predictive performance. Furthermore, due to the diversity of relationships, existing methods are unable to handle both dynamic and static relationships simultaneously. To address the limitations of prior research, we introduce a novel stock trend forecasting framework capable of mining the causal relationships that affect changes in companies’ stock prices and simultaneously extracts both dynamic and static features to enhance the forecasting performance. Extensive experimental results in the Chinese stock market demonstrate that the proposed framework achieves obvious improvement against multiple state-of-the-art approaches.
The Mechanism of Damage to the Midgut by Low Concentration of Bacillus thuringiensis in the Silkworm, Bombyx mori
Authors: Zou Hongbin , Gu Haoyi , Cheng Jialu , Tian Chao , Shu Qilong , Peng Peilin , Li Bing
Published: November 2024

Bacillus thuringiensis (Bt) has been extensively applied in agricultural pest management, posing a notable ecological risk to beneficial insects like Bombyx mori (silkworms). However, the toxicological mechanisms of Bt at low concentrations on silkworms remain largely unexplored. In this study, we determined the LC50 (96 h) of Bt for fifth-instar silkworm larvae to be 0.08 × 10−3 mg/L. Exposure to a sub-lethal concentration of Bt (1/2 LC50) led to significant reductions in body weight, pupal size, and the weights of both the whole cocoon and cocoon shell. Histopathological and ultrastructural examinations revealed that Bt exposure caused severe damage to the microvilli and epidermal cells of the midgut. Transcriptome sequencing of the midgut identified 290 differentially expressed genes (DEGs), with these genes predominantly involved in metabolic processes and apoptotic pathways. Notably, apoptosis-related genes such as Apaf-1 and Caspase-3 were upregulated by 5.08-fold and 1.27-fold, respectively. Further validation through TUNEL assays and Western blotting analysis confirmed a significant activation of apoptotic signaling. These findings suggested that low concentrations of Bt could trigger apoptotic pathways in the midgut of silkworm larvae, providing valuable insights into the toxicological evaluation of Bt at sub-lethal doses in insect species.
Can Preoperative Hounsfield Unit Measurement Help Predict Mechanical Failure in Metastatic Spinal Tumor Surgery?
Authors: Lee Hyung Rae , Cho Jae Hwan , Seok Sang Yun , Kim San , Cho Dae Wi , Yang Jae Hyuk
Published: November 2024

Background/Objectives: This study aimed to identify risk factors associated with mechanical failure in patients undergoing spinal instrumentation without fusion for metastatic spinal tumors. Methods: We retrospectively evaluated data from 220 patients with spinal tumors who underwent instrumentation without fusion. Propensity scores were used to match preoperative variables, resulting in the inclusion of 24 patients in the failure group (F group) and 72 in the non-failure group (non-F group). Demographic, surgical, and radiological characteristics were compared between the two groups. Logistic regression and Kaplan–Meier survival analyses were conducted to identify predictors of mechanical failure. Results: Propensity score matching resulted in a balanced distribution of covariates. Lower Hounsfield unit (HU) values at the lowest instrumented vertebra (LIV) were the only independent predictor of implant failure (p = 0.037). A cutoff value of 127.273 HUs was determined to predict mechanical failure, with a sensitivity of 59.1%, specificity of 73.4%, and area under the curve of 0.655 (95% confidence interval: 0.49–0.79). A significant difference in survival was observed between the groups with HU values above and below the cutoff (p = 0.0057). Cement-augmented screws were underutilized, with an average of only 0.2 screws per patient in the F group. Conclusions: Preoperative LIV HU values < 127.273 were strongly associated with an increased risk of mechanical failure following spinal instrumentation without fusion. Alternative surgical strategies including the use of cement-augmented screws are recommended for patients with low HU values.
Progressive Keratoconus Treatment with Transepithelial Two-Step Phototherapeutic Keratectomy Combined with Corneal Crosslinking (CXL): Clinical Outcomes and Postoperative Management Including Potential Complications of the Modified Athens Protocol Designed for US-Approved Excimer Laser Specifications
Authors: Kanellopoulos Anastasios John , Kanellopoulos Alexander J.
Published: November 2024

Objectives: To report a novel application within the USA of excimer ablation for the normalization of central corneal refractive irregularity, combined with higher fluence CXL in the effective management and visual rehabilitation of progressive keratoconus. Methods: 17 consecutive cases with progressive keratoconus were treated with corneal surface excimer laser ablation normalization using topography-guided (Contura) myopic ablation for customized corneal re-shaping with a 6 mm optical zone. The epithelial removal was accounted for by adding a −2.75 diopter correction to this topography-guided normalizing surface ablation followed by a second wavefront-optimized hyperopic excimer treatment of +2.75 diopters also with a 6 mm optical zone. The two sequential excimer ablations applied on the intact epithelium were followed by corneal crosslinking (CXL). Visual acuity, refraction, and keratoconus documentation via keratometry, topography, and pachymetry, as well as endothelial cell density were evaluated over 36 months. Results: Keratoconus stabilized in all cases. The severity and stage of keratoconus determined by the Amsler–Krumeich criteria improved for the OD from an average of 2.2 to 1. The median UDVA showed marked improvement at one-year follow-up (all values in LogMAR), from 0.8 preoperative to 0.3 at 12 months, and was stable through the 3 years at 0.3. The median CDVA increased from 0.5 to 0.1 at 1 year and was stable at 0.1 at 3 years. The average minimal corneal thickness decreased from 466 μm to 396 μm, as recorded the first year postoperatively, and then slightly increased to 405 μm at the 3-year follow-up. Conclusions: We introduce herein the initial clinical data for the use of a novel, off-label therapeutic excimer laser surface ablation application. It was designed to perform both epithelial removal and anterior corneal stroma reshaping and combined with CXL to apply the Athens Protocol CXL with US excimer laser-approved specifications.
Optimal Management of Patients with Moderate-to-Severe Inflammatory Bowel Disease
Authors: Purnak Tugrul , Ertan Atilla
Published: November 2024

Inflammatory bowel disease (IBD), encompassing Crohn’s disease (CD) and ulcerative colitis (UC), is a chronic and often debilitating condition requiring complex and individualized management. Over the past few decades, advancements in understanding IBD pathophysiology have led to a transformative shift in therapeutic approaches. This article provides a comprehensive overview of the evolution of IBD treatments, from early symptom-focused therapies to modern biologics, small molecule agents, and emerging treatment strategies. We discuss therapeutic goals centered on achieving clinical remission, endoscopic/mucosal healing, and enhancing patient quality of life. Additionally, we explore the rationale for the early and personalized use of biologic therapies in moderate-to-severe cases, review the current FDA-approved agents as of 2024, and highlight the advantages and limitations of these treatments. Special attention is given to the evolving role of novel oral therapies, including Janus kinase inhibitors and sphingosine-1-phosphate receptor modulators, and future new directions. This paper aims to guide clinicians in navigating the expanding therapeutic landscape of IBD, emphasizing patient-centered decision-making and addressing ongoing challenges in achieving optimal disease control.
Polyp Matching in Colon Capsule Endoscopy: Pioneering CCE-Colonoscopy Integration Towards an AI-Driven Future
Authors: Lei Ian Io , Arasaradnam Ramesh , Koulaouzidis Anastasios
Published: November 2024

Background: Colon capsule endoscopy (CCE) is becoming more widely available across Europe, but its uptake is slow due to the need for follow-up colonoscopy for therapeutic procedures and biopsies, which impacts its cost-effectiveness. One of the major factors driving the conversion to colonoscopy is the detection of excess polyps in CCE that cannot be matched during subsequent colonoscopy. The capsule’s rocking motion, which can lead to duplicate reporting of the same polyp when viewed from different angles, is likely a key contributor. Objectives: This review aims to explore the types of polyp matching reported in the literature, assess matching techniques and matching accuracy, and evaluate the development of machine learning models to improve polyp matching in CCE and subsequent colonoscopy. Methods: A systematic literature search was conducted in EMBASE, MEDLINE, and PubMed. Due to the scarcity of research in this area, the search encompassed clinical trials, observational studies, reviews, case series, and editorial letters. Three directly related studies were included, and ten indirectly related studies were included for review. Results: Polyp matching in colon capsule endoscopy still needs to be developed, with only one study focused on creating criteria to match polyps within the same CCE video. Another study established that experienced CCE readers have greater accuracy, reducing interobserver variability. A machine learning algorithm was developed in one study to match polyps between initial CCE and subsequent colonoscopy. Only around 50% of polyps were successfully matched, requiring further optimisation. As Artificial Intelligence (AI) algorithms advance in CCE polyp detection, the risk of duplicate reporting may increase when clinicians are presented with polyp images or timestamps, potentially complicating the transition to AI-assisted CCE reading in the future. Conclusions: Polyp matching in CCE is a developing field with considerable challenges, especially in matching polyps within the same video. Although AI shows potential for decent accuracy, more research is needed to refine these techniques and make CCE a more reliable, non-invasive alternative to complement conventional colonoscopy for lower GI investigations.
Aortic Pulse Wave Velocity Determined with Oscillometric Pulse Wave Analysis Algorithm Antares Is an Independent Predictor of Major Adverse Cardiovascular Events: A Prospective Cohort Study
Authors: Dörr Marcus , Lapp Harald , Richter Stefan , Stäuber Alexander , Bahls Martin , Gross Stefan , Ohlow Marc-Alexander , Eckert Siegfried , Stäuber Franziska , Hoppe Matthias Wilhelm , Baulmann Johannes
Published: November 2024

Background/Objectives: Aortic pulse wave velocity (aPWV) is a well-established surrogate marker of arterial stiffness. The Antares algorithm offers a method for determining aPWV from oscillometric blood pressure waveforms without requiring additional inputs. This prospective study aimed to evaluate the association and prognostic value of aPWV, determined by Antares, in predicting major adverse cardiovascular events (MACE). Methods: In total, 240 patients (median age 69, 25.4% female) underwent oscillometric blood pressure measurements, from which aPWV was calculated using the Antares algorithm. MACE, comprising myocardial infarction, stroke, or all-cause mortality, occurred in 19.2% of patients during a median follow-up of 43 months. Survival analyses were performed using continuous aPWV values, a 10 m/s threshold, and aPWV quartiles. Kaplan–Meier curves and log-rank tests were used to compare survival across aPWV groups. Cox proportional hazards models were applied to assess the independent predictive value of aPWV. Results: Patients with aPWV < 10 m/s showed significantly higher event-free survival compared to those with aPWV ≥ 10 m/s (log-rank p = 0.044). Quartile analysis reinforced this, with the highest event rate in the highest aPWV quartile (log-rank p < 0.01). Multivariable analysis confirmed aPWV as an independent predictor of MACE (HR per 1 m/s: 1.24, 95% CI: 1.08–1.41; HR per 1 SD: 1.53, 95% CI: 1.17–2.00, p = 0.002). Adding aPWV to a risk model improved predictive accuracy (C-index 0.68 to 0.71). Conclusions: In the investigated cohort, aPWV derived using the Antares algorithm is an independent predictor of cardiovascular events. This non-invasive approach is promising for improving simple outpatient risk stratification and targeting preventive measures.
Image Processing Hardware Acceleration—A Review of Operations Involved and Current Hardware Approaches
Authors: Vasile Costin-Emanuel , Ulmămei Andrei-Alexandru , Bîră Călin
Published: November 2024

This review provides an in-depth analysis of current hardware acceleration approaches for image processing and neural network inference, focusing on key operations involved in these applications and the hardware platforms used to deploy them. We examine various solutions, including traditional CPU–GPU systems, custom ASIC designs, and FPGA implementations, while also considering emerging low-power, resource-constrained devices.
Incorporating Non-Equlibrium Ripple Dynamics into Bed Stress Estimates Under Combined Wave and Current Forcing
Authors: Flores Raúl P. , Rijnsburger Sabine , Meirelles Saulo , Horner-Devine Alexander R. , Souza Alejandro J. , Pietrzak Julie D.
Published: November 2024

We present direct measurements of seafloor ripple dimensions, near-bed mean flow Reynolds stresses and near-bed turbulent sediment fluxes on a sandy inner shelf subjected to strong wave and tidal current forcing. The measurements of ripple dimensions (height, wavelength) and Reynolds stresses are used to evaluate the performance of a methodology for the incorporation of non-equilibrium ripple dynamics into the calculations of the drag exerted by the bed on the overlying flow (i.e., the bed stress) using a boundary layer model for wave–current interaction. The methodology is based on the simultaneous use of existing models for the time-dependent evolution of ripple geometry and for the wave–current boundary layer that enable a continuous feedback between bottom drag and small-scale seabed morphology, which determines seabed roughness. The model-data comparison shows good agreement between modeled and measured bed stresses and bedform dimensions. Moreover, the proposed methodology is shown to give better results than combining the wave–current interaction model and standard equilibrium ripple predictors, both in terms of bed stresses and ripple dimensions. The near-bed turbulent vertical sediment fluxes show good correlation with the combined wave–current stresses and are used as a proxy for the resuspension of fine sediments (d < 64 μm) from the sandy seabed matrix. Implications for the modeling of the resuspension processes and erosional fluxes are discussed in light of our findings.
Correction: Sebro et al. Implementation of Antigen-Based Diagnostic Assays for Detection of Histoplasmosis and Cryptococcosis among Patients with Advanced HIV in Trinidad and Tobago: A Cross-Sectional Study. J. Fungi 2024, 10, 695
Authors: Sebro Ayanna , Edwards Jonathan , Sued Omar , Lavia Leon-Omari , Elder Tricia , Edwards Robert Jeffrey , Akpaka Patrick Eberechi , Ram-Bhola Nadia , Morton-Williams Bynoe Roanna , Caro-Vega Yanink , John Isshad , Perez Freddy
Published: November 2024

In the original publication [...]
New PKS/NRPS Tenuazamines A–H from the Endophytic Fungus Alternaria alternata FL7 Isolated from Huperzia serrata
Authors: Zhang Hao , Zhang Zhibin , Xiao Yiwen , Wang Wen , Gao Boliang , Xie Yuhao , Xie Jiahao , Gao Xinhua , Zhu Du
Published: November 2024

In this paper, we present a novel class of hybrid polyketides, tenuazamines A–H (1–8), which exhibit a unique tautomeric equilibrium from Alternaria alternata FL7. The elucidation of the structures was achieved through a diverse combination of NMR, HR-ESIMS, and ECD methods, with a focus on extensive spectroscopic data analysis. Notably, compounds 1, 4, 8–9 exhibited potent toxic effects on the growth of Arabidopsis thaliana. This research expands the structural diversity of tenuazonic acid compounds derived from endophytic fungi and provides potential hit compounds for the development of herbicides.
Diabetes Awareness Campaigns to Prevent Ketoacidosis at the Diagnosis of Type 1 Diabetes: Efficacy on Multiple Outcomes and Predictors of Success: A Systematic Review
Authors: Minerba Elisa , Maines Evelina , Quaglia Nadia , Fedi Ludovica , Fanti Stefania , Fierro Alessandro , Mozzillo Enza
Published: November 2024

Background/Objectives: In Italy, the incidence of diabetic ketoacidosis (DKA) at diagnosis of type 1 diabetes (T1D) is still very high (35.7–39.6%), especially in youths. We aimed to determine the efficacy of awareness campaigns to prevent DKA on multiple outcomes and identify success predictors. Methods: We searched electronic databases (Pubmed, Cochrane, and Web of Science) for studies published between 1 August 1990 and 1 August 2024. The review included studies that focused on children under 18 years old, and outcomes were measured by comparing before and after implementing the campaigns in the same area and between areas where interventions took place or not. Results: Of 236 records identified, 15 were eligible for analysis. After campaign implementation, the pooled DKA reduction resulted between 1% and 65.5%, based on the characteristics of the campaigns. A decrease in the rate of acute complications, such as cerebral edema, was reported. Hemoglobin A1c (HbA1c) at onset showed a mean reduction of 0.7–5.1%; C-peptide increased in patients without DKA at diagnosis, and length of hospitalization decreased. Campaign costs were lower than the costs of treating subjects with DKA. Conclusions: This review demonstrated that DKA awareness campaigns effectively reduce DKA incidence and improve other parameters, such as acute complications, HbA1c and C-peptide levels, length of hospitalization, and costs, among youths with T1D. To be effective, campaigns must follow specific principles of target population, modality, and minimal duration, as reported in this review.