bluuebunny/crossref_metadata_2025 huggingface dataset:
High-Cycle Fatigue Behaviour and Structural Robustness of Glass Fibre-Reinforced Polymer Tiled Web-Core Sandwich Panel Unit Cells in Load-Bearing Structures
Authors: Uyttersprot Jordi , De Corte Wouter , Van Paepegem Wim
Published: December 2024

This paper explores the fatigue behaviour and robustness of tiled web-core sandwich panels used in glass fibre-reinforced polymer bridges, which are increasingly favoured for their lightweight and corrosion-resistant properties. Fatigue tests are conducted on unit cell specimens with manually induced crack initiation, simulating accidental damage scenarios in glass fibre-reinforced polymer bridge components. The objective is to assess the integrity of individual unit cells when subjected to a localized force at the top flange after damage initiation. The fatigue tests reveal three phases in the behaviour of a tiled unit cell. Initially, there is a substantial rapid stiffness degradation with crazing crack appearance within the cross-section. Subsequently, a plateau phase occurs, with limited stiffness degradation and stable crazing cracks, the duration of which depends on the applied fatigue load. Lastly, rapid stiffness degradation with substantial crack growth leads to ultimate failure within roughly a thousand cycles. Further analysis using digital image correlation reveals strain concentrations at the location of crazing cracks and crack propagation occurring interlaminarly but not through the plies of the top and bottom flanges, ensuring a robust design. This research enhances the understanding of the tiled sandwich panels, offering prospects for resilient load-bearing structures in glass fibre-reinforced polymer bridges and structural engineering applications.
Accuracy of the Apple Watch Series 9 for Measures of Energy Expenditure and Heart Rate at Rest and During Exercise: Impact of Skin Pigmentation
Authors: Chase Sydney E. , Liddell Rebecca G. , McGonagle Chloe L. , Ives Stephen J.
Published: December 2024

Background: The Apple Watch provides promising health data that could aid in increasing exercise adherence; regular exercise can help individuals manage and prevent diseases such as obesity and cardiovascular disease. However, the impact of skin pigmentation on the accuracy of the Apple Watch Series 9 for measures of energy expenditure (EE) and heart rate (HR) is unknown. Purpose: The purpose of this study was to determine the accuracy of the Apple Watch Series 9 on various skin pigmentations for measures of EE and HR. Methods: Thirty young, healthy individuals were assigned to one of three groups based on their scores on the Fitzpatrick skin survey. Participants completed a 10 min treadmill protocol with varying speeds and inclines while wearing an Apple Watch Series 9, a two-way non-rebreathing mouthpiece connected to a Parvo Medics metabolic cart, and a Polar H7 chest strap to measure EE and HR. Results: Overall, EE was found to be inconsistent for all skin pigmentation groups. However, for HR, the Apple Watch Series 9 was more variable (i.e., less accurate) for darker skin pigmentations compared to lighter skin pigmentations. Conclusions: The Apple Watch Series 9 was found to vary in both EE and HR measures from criterion across intensity and skin pigmentation, with greater discrepancies for individuals in Group 3 for measures of HR. Further investigation might aim to study the impact of skin pigmentations and wrist subcutaneous fat on the accuracy of the latest Apple Watch Series 9 for measures of EE and HR.
Point-Cloud Instance Segmentation for Spinning Laser Sensors
Authors: Casado-Coscolla Alvaro , Sanchez-Belenguer Carlos , Wolfart Erik , Sequeira Vitor
Published: December 2024

In this paper, we face the point-cloud segmentation problem for spinning laser sensors from a deep-learning (DL) perspective. Since the sensors natively provide their measurements in a 2D grid, we directly use state-of-the-art models designed for visual information for the segmentation task and then exploit the range information to ensure 3D accuracy. This allows us to effectively address the main challenges of applying DL techniques to point clouds, i.e., lack of structure and increased dimensionality. To the best of our knowledge, this is the first work that faces the 3D segmentation problem from a 2D perspective without explicitly re-projecting 3D point clouds. Moreover, our approach exploits multiple channels available in modern sensors, i.e., range, reflectivity, and ambient illumination. We also introduce a novel data-mining pipeline that enables the annotation of 3D scans without human intervention. Together with this paper, we present a new public dataset with all the data collected for training and evaluating our approach, where point clouds preserve their native sensor structure and where every single measurement contains range, reflectivity, and ambient information, together with its associated 3D point. As experimental results show, our approach achieves state-of-the-art results both in terms of performance and inference time. Additionally, we provide a novel ablation test that analyses the individual and combined contributions of the different channels provided by modern laser sensors.
Effects of Calcium Ion Dyshomeostasis and Calcium Ion-Induced Excitotoxicity in Parkinson’s Disease
Authors: Nam Daleum , Kim Hyejung , Han Sun Jung , Son Ilhong , Ho Dong Hwan
Published: December 2024

Calcium ions (Ca2+) are vital intracellular messengers that regulate a multitude of neuronal functions, including synaptic transmission, plasticity, exocytosis, and cell survival. Neuronal cell death can occur through a variety of mechanisms, including excitotoxicity, apoptosis, and autophagy. In the context of excitotoxicity, the excessive release of glutamate in the synapses can trigger the activation of postsynaptic receptors. Upon activation, Ca2+ influx into the cell from the extracellular space via their associated ion channels, most notably L-type Ca2+ channels. Previous studies have indicated that α-synuclein (α-syn), a typical cytosolic protein, plays a significant role in the pathogenesis of Parkinson’s disease (PD). It is also worth noting that the aggregated form of α-syn has the capacity to affect Ca2+ homeostasis by altering the function of Ca2+ regulation. The upregulation of leucine-rich repeat kinase 2 (LRRK2) is closely associated with PD pathogenesis. LRRK2 mutants exhibit a dysregulation of calcium signaling, resulting in dopaminergic neuronal degeneration. It could therefore be proposed that α-syn and LRRK2 play important roles in the mechanisms underlying Ca2+ dyshomeostasis and excitotoxicity in PD.
Probiotic Potential of Yeasts Isolated from Fermented Beverages: Assessment of Antagonistic Strategies Against Salmonella enterica Serovar Enteritidis
Authors: Alvarez Silvia Cristina Vergara , Pendón María Dolores , Bengoa Ana Agustina , Leiva Alaniz María José , Maturano Yolanda Paola , Garrote Graciela Liliana
Published: December 2024

Global concern about pathogenic resistance to antibiotics is prompting interest in probiotics as a strategy to prevent or inhibit infections. Fermented beverages are promising sources of probiotic yeasts. This study aimed to evaluate the antagonistic effects of Kluyveromyces marxianus, Wickerhamomyces anomalus, and Pichia manshurica strains from kefir and wine against Salmonella enterica serovar Enteritidis in intestinal epithelial cells. The ability of these yeasts to adhere to Caco-2/TC-7 cells was evaluated, as well as their influence on the ability of Salmonella to associate and invade these cells. The behavior of the pathogen was analyzed by (a) incubation of enterocytes with yeast before adding Salmonella, (b) co-incubation of Salmonella with yeast before contact with the enterocytes, and (c) incubation of Salmonella with yeast metabolites before contact with enterocytes. All yeast strains demonstrated adherence to Caco-2/TC-7 cells (33–100%) and effectively inhibited Salmonella invasion. Among the treatments, co-culture showed the greatest effect, reducing Salmonella association and invasion by more than 50%. Additionally, these yeasts modulated the epithelial immune response, significantly decreasing CCL20-driven luminescence by 60–81% (p < 0.0001). These results highlight the potential of yeasts from fermented beverages as probiotics to counteract Salmonella infections, offering a promising alternative in the fight against antibiotic resistance.
Synergies Between Land Use/Land Cover Mapping and Urban Morphology: A Review of Advances and Methodologies
Authors: Milovanović Aleksandra , Cvetković Nikola , Šošević Uroš , Janković Stefan , Pešić Mladen
Published: December 2024

This study aims to bridge the fields of urban morphology and land use/land cover (LULC) mapping through a systematic analysis of their integration in recent research. The research employs systematic literature review (SLR) methodology combining quantitative and qualitative methods through four methodological steps: data search, data selection, data analysis, and data clustering. The analysis performed three distinct clustering patterns: (1) methods and tools, (2) data types, and (3) urban morphology aspects. The results reveal five distinct methodological approaches—Data-Driven Typological Decoding Approach, Quantitative Structural Metrics Approach, Predictive Spatiotemporal Transition Approach, Temporal Change Detection and Performance Approach, and Spatial Configuration and Density Analysis Approach—each contributing unique insights to urban form analysis. The findings demonstrate the multidimensional nature of urban form analysis, incorporating both social and temporal dimensions, while highlighting the essential role of change detection in understanding urban pattern evolution. This systematic review establishes a comprehensive framework for understanding the relationship between urban morphology and LULC mapping, providing valuable insights for future research integration.
Hepatoprotective Activity and Oxidative Stress Reduction of an Arctium tomentosum Mill. Root Extract in Mice with Experimentally Induced Hepatotoxicity
Authors: Aitynova Arailym , Sevastre Bogdan , Ielciu Irina , Hanganu Daniela , Olah Neli-Kinga , Ibragimova Nailya , Shalakhmetova Tamara , Benedec Daniela , Lyu Marina , Krasnoshtanov Arkadiy , Gapurkhaeva Tamari
Published: December 2024

Background: The use of natural hepatoprotective remedies represents an important path in modern phytotherapy. Objectives: In this context, our research aims to evaluate the phytochemical composition and the hepatoprotective and oxidative stress reduction potential of an Arctium tomentosum Mill. root extract. Methods: The phenolic profile of the tested extract, prepared by the subcritical fluid-assisted method were qualitatively and quantitatively analyzed by spectrophotometrical and HPLC/DAD/ESI methods. In vitro antioxidant capacity was assessed using DPPH and FRAP assays. Hepatoprotective activity of the extract was assessed on a model of CCl4 experimentally induced hepatotoxicity in mice. Results: Phytochemical assays revealed the presence of important polyphenols, such as chlorogenic acid (17.20 ± 0.65 μg/mL) and acacetin 7-O-glucoside (56.80 ± 1.66 μg/mL). In vitro, the tested extract exhibited a significant oxidative stress reduction capacity, while in vivo it showed a dose-dependent hepatoprotective effect indicated by an improvement in plasma proteins profile and down-regulation of plasma transaminase activity (ALAT, ASAT, GGT). In liver tissue, the extract partially restored the activity of GPx, CAT, and SOD and attenuated lipid peroxidation. The protective effect of the A. tomentosum root extract was supported by the alleviation of histological injuries of the liver (centrilobular necrosis, granulocytic infiltrate, and fibrosis). Conclusions: The A. tomentosum subcritical fluid-assisted root extract proved to be able to provide a significant hepatoprotective effect mainly through an antioxidant mechanism.
Double-Q Instability in Noncentrosymmetric Tetragonal Magnets with Bond-Dependent Magnetic Anisotropy Under an In-Plane Magnetic Field
Authors: Hayami Satoru
Published: December 2024

We investigate the instability toward a double-Q state, which consists of a superposition of two spin density waves at different wave vectors, on a two-dimensional noncentrosymmetric square lattice in an in-plane external magnetic field. By performing the simulated annealing for the spin model with the Dzyaloshinskii–Moriya interaction and bond-dependent anisotropic interaction, we obtain four types of double-Q states depending on the sign of the bond-dependent anisotropic interaction. On the other hand, only the single-Q spiral state appears in the absence of the bond-dependent anisotropic interaction. The present results suggest that the interplay between the Dzyaloshinskii–Moriya interaction and bond-dependent anisotropic interaction can give rise to multiple-Q states for both zero and nonzero in-plane magnetic fields.
What ChatGPT Has to Say About Its Topological Structure: The Anyon Hypothesis
Authors: Planat Michel , Amaral Marcelo
Published: December 2024

Large language models (LLMs) achieve remarkable predictive capabilities but remain opaque in their internal reasoning, creating a pressing need for more interpretable artificial intelligence. Here, we propose bridging this explanatory gap by drawing on concepts from topological quantum computing (TQC), specifically the anyonic frameworks arising from SU(2)k theories. Anyons interpolate between fermions and bosons, offering a mathematical language that may illuminate the latent structure and decision-making processes within LLMs. By examining how these topological constructs relate to token interactions and contextual dependencies in neural architectures, we aim to provide a fresh perspective on how meaning and coherence emerge. After eliciting insights from ChatGPT and exploring low-level cases of SU(2)k models, we argue that the machinery of modular tensor categories and topological phases could inform more transparent, stable, and robust AI systems. This interdisciplinary approach suggests that quantum-theoretic principles may underpin a novel understanding of explainable AI.
A Class of Binary Codes Using a Specific Automorphism Group
Authors: Harzalla Driss
Published: December 2024

In this article, we showcase PSL(3,4) as the automorphism group for a specific class of three linear binary codes, C1, C2 and C3, with dimension 9. The demonstration involves leveraging the action of the group PSL(3,4), represented by invertible matrices of size 9 by 9 up to isomorphism, on the vector space F29. Additionally, we establish that these codes exhibit a three-weight self-orthogonal property. All computations presented in this paper were performed using the guava package of GAP (Groups, Algorithms, Programming) a system designed for computational discrete algebra.
Patch-Wise-Based Self-Supervised Learning for Anomaly Detection on Multivariate Time Series Data
Authors: Oh Seungmin , Anh Le Hoang , Vu Dang Thanh , Yu Gwang Hyun , Hahn Minsoo , Kim Jinsul
Published: December 2024

Multivariate time series anomaly detection is a crucial technology to prevent unexpected errors from causing critical impacts. Effective anomaly detection in such data requires accurately capturing temporal patterns and ensuring the availability of adequate data. This study proposes a patch-wise framework for anomaly detection. The proposed approach comprises four key components: (i) maintaining continuous features through patching, (ii) incorporating various temporal information by learning channel dependencies and adding relative positional bias, (iii) achieving feature representation learning through self-supervised learning, and (iv) supervised learning based on anomaly augmentation for downstream tasks. The proposed method demonstrates strong anomaly detection performance by leveraging patching to maintain temporal continuity while effectively learning data representations and handling downstream tasks. Additionally, it mitigates the issue of insufficient anomaly data by supporting the learning of diverse types of anomalies. The experimental results show that our model achieved a 23% to 205% improvement in the F1 score compared to existing methods on datasets such as MSL, which has a relatively small amount of training data. Furthermore, the model also delivered a competitive performance on the SMAP dataset. By systematically learning both local and global dependencies, the proposed method strikes an effective balance between feature representation and anomaly detection accuracy, making it a valuable tool for real-world multivariate time series applications.
The Role of Bacteria in Pink Stone Discoloration: Insights from Batalha Monastery
Authors: Silva Inês , Salvador Cátia , Miller Ana Z. , Candeias António , Caldeira Ana Teresa
Published: December 2024

The colonization of historical buildings and monuments by fungi, algae, and bacteria is a common phenomenon. This often leads to deterioration processes that cause either visual or structural harm. The Batalha Monastery in Portugal, a UNESCO World Heritage Site, currently shows significant surface changes to the stone architectural elements within both the Founder’s Chapel and the church, including a widespread pink discoloration on the walls and columns. The main goal of this study was to analyze the biological colonization and assess the influence of bacterial communities on the biodeterioration of Ançã limestone, providing valuable insights to help conservators and restorers select the best preservation strategies for the monastery. The prokaryote population was characterized using both high-throughput DNA sequencing and culture-dependent methods and several orange-pink pigment-producing bacteria were identified, for example, Bacillus, Gordonia, Serratia and Methylobacterium, as well as Halalkalicoccus, an abundant archaeal genus. The pink discoloration observed could be due to biofilms created by bacteria that produce pigments, namely carotenoids. Biocolonization tests were performed using stone mock-ups, which were prepared and inoculated with the bacteria isolated in this study. These tests were designed to replicate the natural conditions of the monastery and monitor the colonization process to understand the discoloration phenomenon.
Optimizing Poultry Nutrition to Combat Salmonella: Insights from the Literature
Authors: Naeem Muhammad , Bourassa Dianna
Published: December 2024

Salmonella infections in poultry production are a significant and pervasive concern, posing substantial risks to both animal and human health. This comprehensive literature review examines the current body of research on the use of various nutritional manipulations as a promising strategy to effectively control and mitigate the prevalence of Salmonella in poultry. The review covers a range of dietary interventions, particularly the utilization of probiotics, prebiotics, organic acids, and phytochemicals, and thoroughly evaluates their efficacy in reducing Salmonella colonization within poultry flocks. Furthermore, the review delves into the potential underlying mechanisms of action for these nutritional approaches to control Salmonella and the far-reaching implications for overall food safety. By providing a thorough analysis of the existing literature, this review aims to elucidate the most promising nutritional strategies that can be employed to control Salmonella in poultry production, ultimately safeguarding animal welfare and public health.
Investigation into the Hyperparameters of Error-Based Adaptive Sampling Approach for Surrogate Modeling
Authors: Legashev Leonid , Tolmachev Sergey , Bolodurina Irina , Shukhman Alexander , Grishina Lyubov
Published: December 2024

Surrogate modeling technology is used to create lightweight analogs of resource- and calculation-intensive software, provided that the problem can be reduced to the regression problem. In this article, we construct a surrogate model for predicting annual energy consumption using the open-source EnergyPlus software and various sampling techniques. A general algorithm for an error-based adaptive sampling technique to build the surrogate model is presented. The best results were shown by the composite Mixed Sampling method with a data refining window the size of 70% and a LightGBM regression model. The best attained metrics values are as follows: MSE = 7.76, RMSE = 1.47, MAE = 0.98 and R2 = 0.99. For a small number of iterations, an error-based adaptive sampling technique with hyperparameter tuning is preferable to the static sampling approach. For a large number of iterations, both techniques show approximately good predictive results of the built surrogate model. After hyperparameter tuning was performed, the average value of the MSE metric decreased from 43.43 to 7.76. A gas thickness feature greater than 0.015 had no positive effect on energy-saving optimization. For temperatures on a summer day of 30 degrees and above, there was a sharp increase in energy consumption. The maximum dry bulb temperature on a winter and summer day and the wind speed on a winter day were the most important features of the built surrogate model with 492, 483 and 443 gain values of the feature importance method, respectively.
Elucidation of Antimicrobials and Biofilm Inhibitors Derived from a Polyacetylene Core
Authors: Skeen Tyler L. , Gresham Rebekah L. , Agamaite Katherine A. , Molz Olivia M. , Westlake Isabelle F. , Kregenow Sage M. , Romero Al K. , Flood Brian M. , Mazur Lauren E. , Hinkle Robert J. , Young Douglas D.
Published: December 2024

The development of new antibiotics with unique mechanisms of action is paramount to combating the growing threat of antibiotic resistance. Recently, based on inspiration from natural products, an asymmetrical polyacetylene core structure was examined for its bioactivity and found to have differential specificity for different bacterial species based on the substituents around the conjugated alkyne. This research further probes the structural requirements for bioactivity through a systematic synthesis and investigation of new compounds with variable carbon chain length, alkynyl subunits, and alcohol substitution. Furthermore, the research examines the activity of the new compounds towards the inhibition of biofilm formation. Overall, several key new polyyne compounds have been identified in both decreasing bacterial viability and in disrupting pre-formed biofilms. These properties are key in the fight against bacterial infections and will be helpful in the further development of new antibiotic agents.
Detecting Tumor-Associated Intracranial Hemorrhage Using Proton Magnetic Resonance Spectroscopy
Authors: Yoo Hye Bin , Lee Hyeong Hun , Nga Vincent Diong Weng , Choi Yoon Seong , Lim Jeong Hoon
Published: December 2024

Intracranial hemorrhage associated with primary or metastatic brain tumors is a critical condition that requires urgent intervention, often through open surgery. Nevertheless, surgical interventions may not always be feasible due to two main reasons: (1) extensive hemorrhage can obscure the underlying tumor mass, limiting radiological assessment; and (2) intracranial hemorrhage may occasionally present as the first symptom of a brain tumor without prior knowledge of its existence. The current review of case studies suggests that advanced radiological imaging techniques can improve diagnostic power for tumoral hemorrhage. Adding proton magnetic resonance spectroscopy (1H-MRS), which profiles biochemical composition of mass lesions could be valuable: it provides unique information about tumor states distinct from hemorrhagic lesions bypassing the structural obliteration caused by the hemorrhage. Recent advances in 1H-MRS techniques may enhance the modality’s reliability in clinical practice. This perspective proposes that 1H-MRS can be utilized in clinical settings to enhance diagnostic power in identifying tumors underlying intracranial hemorrhage.
The Influence of Anesthesia on Neuromonitoring During Scoliosis Surgery: A Systematic Review
Authors: Reysner Malgorzata , Reysner Tomasz , Janusz Piotr , Kowalski Grzegorz , Geisler-Wojciechowska Alicja , Grochowicka Monika , Pyszczorska Monika , Mularski Aleksander , Wieczorowska-Tobis Katarzyna
Published: December 2024

Background: Intraoperative neuromonitoring (IONM) is crucial for the safety of scoliosis surgery, providing real-time feedback on the spinal cord and nerve function, primarily through motor-evoked potentials (MEPs). The choice of anesthesia plays a crucial role in influencing the quality and reliability of these neuromonitoring signals. This systematic review evaluates how different anesthetic techniques—total intravenous anesthesia (TIVA), volatile anesthetics, and regional anesthesia approaches such as Erector Spinae Plane Block (ESPB), spinal, and epidural anesthesia—affect IONM during scoliosis surgery. Methods: A systematic review was conducted following PRISMA guidelines. PubMed, MEDLINE, EMBASE, and Cochrane databases were searched for studies published between 2017 and 2024 that examined the impact of anesthetic techniques on neuromonitoring during scoliosis surgery. The focus was on studies reporting MEP outcomes, anesthetic protocols, and postoperative neurological and analgesic effects. Results: The search initially identified 998 articles. After applying inclusion criteria based on relevance, recency, methodological quality, and citation frequency, 45 studies were selected for detailed review. Conclusion: The erector Spinae Plane Block (ESPB) provides distinct benefits over spinal and epidural anesthesia in scoliosis surgery, particularly in maintaining neuromonitoring accuracy, reducing hemodynamic instability, and minimizing complications. The ESPB’s ability to deliver effective segmental analgesia without compromising motor function makes it a safer and more efficient option for postoperative pain management, enhancing patient outcomes.
Optimization and Standardization of the Extraction Method of Balanites aegyptiaca Del. Seeds (Zygophyllaceae) Used in the Formulation of an Antiparasitic Phytomedicine
Authors: Belemlilga Mohamed , Ouedraogo Salfo , Boly Gilchrist , Dao Do , Coulibaly Jonas , Ouedraogo Jean , Compaoré Souleymane , Traore Sidiki , Koala Moumouni , Youl Estelle , Belemnaba Lazare , Kini Félix , Traore Aristide , Kouanda Séni , Ouedraogo Sylvin
Published: December 2024

Background/Objectives: Balanites aegyptiaca Del. (Zygophyllaceae) is widely used in traditional medicine, both human and veterinary, throughout Africa for its many properties, including antiparasitic properties. This experimental study aims to optimize the extraction conditions of the seeds of Balanites aegyptiaca Del. Methods: Aqueous maceration was carried out with mass-to-volume ratios of 40%, 30%, 20%, 10% and 5% and extraction times of 6, 12, 24, 36 and 48 h. Extraction yields, phytochemical screening, saponins assay, antioxidant activities ABTS+ free radical scavenging activities, Ferric-reducing antioxidant power (FRAP) assay and antiparasitic tests on Heligmosomoides bakeri were used to compare the different extracts. Results: The pharmaco-chemical study generally showed that aqueous maceration gave the best results, with a mass/volume ratio of 10% after 12 h of maceration. The yield obtained was 28.03% with a saponins content of 13.81 mg/g. The antioxidant activities were 4.25 ± 0.17 µg/mL by the ABTS method and 0.739 µg/mL by the FRAP method. The larvicidal activity also showed that the 10% 12 h extract produced 100% larval mortality from 25 µg/mL. Conclusions: These data provide a basis for guiding the extraction process parameters in producing this antiparasitic phytomedicine.
Medicinal Cannabis and the Intestinal Microbiome
Authors: Vitetta Luis , Nation Tamara , Oldfield Debbie , Thomsen Michael
Published: December 2024

Historically, the multiple uses of cannabis as a medicine, food, and for recreational purposes as a psychoactive drug span several centuries. The various components of the plant (i.e., seeds, roots, leaves and flowers) have been utilized to alleviate symptoms of inflammation and pain (e.g., osteoarthritis, rheumatoid arthritis), mood disorders such as anxiety, and intestinal problems such as nausea, vomiting, abdominal pain and diarrhea. It has been established that the intestinal microbiota progresses neurological, endocrine, and immunological network effects through the gut–microbiota–brain axis, serving as a bilateral communication pathway between the central and enteric nervous systems. An expanding body of clinical evidence emphasizes that the endocannabinoid system has a fundamental connection in regulating immune responses. This is exemplified by its pivotal role in intestinal metabolic and immunity equilibrium and intestinal barrier integrity. This neuromodulator system responds to internal and external environmental signals while also serving as a homeostatic effector system, participating in a reciprocal association with the intestinal microbiota. We advance an exogenous cannabinoid–intestinal microbiota–endocannabinoid system axis potentiated by the intestinal microbiome and medicinal cannabinoids supporting the mechanism of action of the endocannabinoid system. An integrative medicine model of patient care is advanced that may provide patients with beneficial health outcomes when prescribed medicinal cannabis.
Revealing the Mechanism of Hemerocallis citrina Baroni in Depression Treatment Through Integrated Network Pharmacology and Transcriptomic Analysis
Authors: Gao Shan , Lu Jihui , Gu Yixiao , Zhang Yaozhi , Wang Cheng , Gao Feng , Dai Ziqi , Xu Shujing , Zhang Jindong , Yang Yuqin , Lei Haimin
Published: December 2024

Background/Objectives: Hemerocallis citrina Baroni (HCB) is a traditional herb for the treatment of depression in China. However, the active constituents and the underlying mechanisms of its antidepressant effects remain unclear. The aim of this study was to identify the bioactive constituents of HCB and elucidate its underlying mechanism for the treatment of depression. Methods: The constituents of HCB were systematically analyzed using UHPLC-Q-Orbitrap HRMS. Its antidepressant effect was evaluated by chronic unpredictable mild stress (CUMS)-induced depression. The mechanism of HCB in treating depression was investigated through network pharmacology and molecular docking. Subsequently, its potential mechanism for the treatment of depression was carried out by RNA sequencing. Finally, the mechanism was further verified by Western blot. Results: A total of 62 chemical constituents were identified from HCB using UHPLC-Q-Orbitrap HRMS, including 17 flavonoids, 11 anthraquinones, 11 alkaloids, 10 caffeoylquinic acid derivatives, five phenolic acids, five triterpenoids, and three phenylethanosides, 13 of which were identified as potential active constituents targeting 49 depression-associated proteins. Furthermore, HCB was found to significantly reduce cognitive impairment, anxiety-like behavior, and anhedonia-like behavior. The expression levels of 5-hydroxytryptamine (5-HT), dopamine (DA), and brain-derived neurotrophic factor (BDNF) were elevated in the hippocampal CA3 region. Results from network pharmacology and transcriptomics indicated that the PI3K/Akt/CREB signaling pathway is essential for the therapeutic effects of HCB on depression. Research in the field of molecular biology has conclusively demonstrated that HCB is associated with an increase in the expression levels of several important proteins. Specifically, there was a notable upregulation of phosphorylated PI3K (p-PI3K) relative to its unphosphorylated form PI3K, as well as an elevation in the ratio of phosphorylated Akt (p-Akt) to total Akt. Additionally, the study observed increased levels of phosphorylated CREB (p-CREB) compared to its unphosphorylated CREB. Conclusions: This study provides compelling evidence that HCB possesses the ability to mitigate the symptoms of depression through its influence on the PI3K/Akt/CREB signaling pathway. HCB could be developed as a promising therapeutic intervention for individuals struggling with depression, offering new avenues for treatment strategies that target this particular signaling mechanism.
High-Speed and Cost-Efficient NAND Logic Gate Using a Single SOA-DI Configuration
Authors: Kotb Amer , Hatziefremidis Antonios , Said Gamal , Zoiros Kyriakos E.
Published: December 2024

In this study, we propose a novel design for a NAND gate using a single semiconductor optical amplifier (SOA) followed by a delay interferometer (DI). This streamlined configuration significantly reduces complexity and cost compared to conventional methods, which typically require cascading multiple SOA-Mach–Zehnder interferometers (SOA-MZIs) for NAND gate implementation. Our approach directly generates the NAND logic output with a single SOA and DI, simplifying the overall design. The gate’s performance is evaluated at 80 Gb/s, achieving a high-quality factor (QF) of 10.75. We also analyze the impact of key parameters to optimize the gate’s functionality. Furthermore, we assess the effect of amplified spontaneous emission on the QF, providing a more comprehensive evaluation of the system’s performance. This research paves the way for more efficient and cost-effective complex optical logic circuit solutions.
Design of Polarization Spectroscopy Integrated Imaging System
Authors: Liu Jianan , Cui Jing , Chen Mingce , Yang Shuo , Sun Hongyu , Wang Qi , Zhan Juntong , Li Yingchao , Fu Qiang , Wang Chao
Published: December 2024

To simultaneously acquire the spectral and polarization information of the target and achieve the monitoring and identification of the target object, a polarization spectral integrated imaging system is proposed in this paper. Firstly, the structural principle of the polarization spectral integrated imaging system is introduced. The relationship between the spatial resolution, spectral resolution, and the system’s structural parameters is analyzed. The design of the optical part of the polarization spectral integrated imaging system is completed, along with the tolerance analysis. Secondly, the mechanical structure of the polarization spectral integrated imaging system is designed. Finally, by using a drone to carry the polarization spectral integrated imaging system, a simulation experiment for sea surface oil spill monitoring is conducted, and the hyperspectral and polarization information of the ocean, crude oil, fuel oil, palm oil, diesel, and gasoline are obtained. The polarization and spectral information were integrated. The integration of hyperspectral and polarization data yields remarkable enhancement outcomes, allowing for the clear delineation of previously challenging-to-identify crude oil contamination areas against the marine background in the fused images, characterized by sharper boundaries and improved discriminability. This accomplishment underscores the feasibility of our system for the rapid identification of large-scale oil spill events.
Influence of Oestradiol Fluctuations in the Menstrual Cycle on Respiratory Exchange Ratio at Different Exercise Intensities: A Systematic Review, Meta-Analysis and Pooled-Data Analysis
Authors: Rattley Catherine A. , Ansdell Paul , Burgess Louise C. , Felton Malika , Dewhurst Susan , Neal Rebecca A.
Published: December 2024

Background: Oestradiol has been implicated as a factor in substrate utilisation in male and mouse studies but the effect of acute changes during the menstrual cycle is yet to be fully understood. Objective: To determine the role of oestradiol in respiratory exchange ratio (RER) during exercise at various intensities. Methods: This systematic review was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. From inception to November 2023, four online databases (Cochrane, SPORTDiscus, MEDline and Web of Science) were searched for relevant articles. Studies that reported a resting oestradiol measurement in naturally menstruating women with exercise at a percentage of maximal aerobic capacity (%V˙O2max) were included. Mean and standard deviation for oestradiol, RER and exercise intensity were extracted and study quality assessed using a modified Downs and Black checklist. Risk of bias was assessed using I2 measure of heterogeneity and Egger’s regression test, assessment of bias from methodological quality was identified by sensitivity analysis. Eligible datasets were extracted for pairwise comparisons within a meta-analysis and correlation between change in oestradiol and change in RER. Data were also pooled to produce a mean and standard deviation for RER for menstrual stage and for low and high oestradiol groups. Results: Twenty-four articles were identified, over 50% were identified as high quality. Sixteen articles included datasets eligible for meta-analysis. Eleven articles utilised a submaximal constant-load exercise intensity, finding a standardised mean difference of − 0.09 ([CI: −0.35–0.17], p = 0.5) suggesting no effect of menstrual phase on constant-load exercise RER. In six articles using incremental exercise tests to exhaustion, a standardised mean difference of 0.60 ([CI 0.00–1.19], p = 0.05) was identified towards a higher maximal RER attained in follicular compared to luteal phase. There was no correlation (R = −0.26, p = 0.2) between change in oestradiol and change in RER between phases. All 24 articles, totalling 650 participants, were included in pooled analysis. When grouped by menstrual cycle phase or when grouped by oestradiol levels, RER was higher in the follicular phase than the luteal phase at low and high constant load exercise intensities. Discussion: Findings from the pooled-analysis and meta-analysis suggest that there may be menstrual cycle phase differences in RER that are intensity dependent. These differences may be related to sex hormone levels, but this was not supported by evidence of correlation between differences in RER and differences in oestradiol. At present, it remains best practice to assess performance in the same menstrual cycle phase if seeking to assess change from baseline.
Ultra Short Race Pace Training (USRPT) in Swimming. Do the Volume and Interval Matter? A Scoping Review
Authors: Papadimitriou Konstantinos
Published: December 2024

Background: Ultra-short race-pace training (USRPT) is designed to accustom swimmers to the pace of an event by using high volume and submaximal intensity with short intervals. However, due to imprecise data on volume and interval, further investigation is necessary. This scoping review aims to provide evidence-based insights into the advantages and disadvantages of recommended volumes and intervals during USRPT, guiding swimming coaches and offering practical advice regarding this training method. Methods: For this analysis, 90,613 studies from PubMed, Scopus, Web of Science, and Google Scholar were screened to examine the volume and interval of the USRPT method. Results: Only five studies met the inclusion criteria, were further assessed using a PRISMA-P document, and were analyzed for biases with the revised Cochrane risk-of-bias tool for randomized crossover trials. Excessive daily use of USRPT in training volume is discouraged due to potential psychological strain. Reaching failure should involve modifying variables such as intensity and interval. Additionally, interval periods should vary based on the targeted event’s physiological demands and the USRPT set’s volume. For short-distance events (50–100 m), it is recommended that USRPT protocols include a work-to-rest ratio of 1:1 or 1:2, allowing more time for aerobic contribution to replenish energy supplies (consistent with HIIT and SIIT principles). Conclusions: Further research on specific elements of USRPT, including volume and interval, is essential to identify the most effective training sets for swimmers across different distances and styles.
Effects of Cigarette Butt Leachate on the Growth of White Mustard (Sinapis alba L.) and Soil Properties: A Preliminary Study
Authors: Ajibade Sinazo , Simon Barbara , Takács Anita , Gulyás Miklós
Published: December 2024

Cigarette butts (CBs) are emerging soil contaminants, releasing chemicals upon contact with moisture. This study examined heavy metal concentrations leached from smoked and unsmoked CBs (Pall Mall, Philip Morris, and Marlboro) into OECD artificial soil and Vertisol soil and their accumulation in white mustard (Sinapis alba L.). Key physiological parameters, including germination rate, plant height, fresh weight, and dry weight, were analyzed, along with the uptake of heavy metals (Al, Fe, Mn, Zn, Ba, Ti, and Cu) and essential elements (Ca, Mg, Na, and K). Results showed that Mn had the highest bioaccumulation index (BAI = 1.10) in OECD soil, while Zn uptake was consistently high across soil types. Soil type significantly influenced plant height (χ2 = 41.269, p < 0.01) and elemental composition, with Vertisol soil facilitating greater overall growth and heavy metal uptake than OECD soil. MANOVA revealed no three-way interaction among soil type, CB use, and CB brand on elemental uptake. However, two-way interactions, particularly between soil type and CB use (F (4, 39) = 40.233, p < 0.001, Wilk’Λ = 0.195), showed significant effects on heavy metal uptake. These findings highlight the complex interactions influencing plant contamination, underlining the ecological risks of CB pollution in soils.
The Impact of Partially Replacing Dietary Maize with Graded Levels of Banana Peels on Nutrient Digestibility, Physiology, and Meat Quality Traits in Jumbo Quail
Authors: Kumalo Indibabale , Mlambo Victor , Mnisi Caven Mguvane
Published: December 2024

We evaluated the effect of replacing maize with graded levels of banana (Musa acuminata) peels (BPs) on feed utilisation, physiological performance, and meat quality traits in Jumbo quail. In a completely randomised design, 341 one-week-old, unsexed quail chicks were randomly allocated to 30 cages and reared on five experimental diets containing 0 (BP0), 25 (BP25), 50 (BP50), 75 (BP75), and 100 g/kg BP (BP100) in a conventional grower diet. Dry matter, organic matter, and gross energy digestibility values linearly declined (p < 0.05) with BP levels. Feed intake in the 5th week linearly declined (p < 0.05) as BP levels increased. The BP0 diet promoted greater overall body weight gain than BP100. Similarly, birds on BP0 had a higher (p < 0.05) overall gain-to-feed ratio than birds on BP75 and BP100. Significant linear increases were observed for relative gizzard, and small and large intestine weights. There were negative quadratic effects (p < 0.05) for relative proventriculus weight, breast lightness, and thigh chroma as BP levels increased. Furthermore, thigh yellowness linearly decreased, while hue angle linearly increased with BP levels. The partial substitution of maize with BP in Jumbo quail diet compromised feed digestibility and performance parameters, stimulated visceral organ development, and altered some meat colour attributes.
Numerical Analysis of Magnetohydrodynamic Convection in an Inclined Cavity with Three Fins and a Ternary Composition of Nanoparticles
Authors: Alfannakh Huda
Published: December 2024

The natural convection heat transfer of a trihybrid nanofluid comprising Fe2O3, MoS2, and CuO nanoparticles dispersed in water (Fe2O3 + MoS2 + CuO/H2O) has been investigated within a cavity exposed to a uniform magnetic field. Three cold fins were strategically positioned on the top, right, and left walls of the enclosure. The study employs numerical simulations conducted using a custom-developed FORTRAN code. The computational approach integrates the finite volume method and full multigrid acceleration to solve the coupled governing equations for continuity, momentum, energy, and entropy generation, along with the associated boundary conditions. Prior to obtaining the results, a meticulous parameterization process was undertaken to accurately capture the fluid dynamics and thermal behavior characteristic of this geometric configuration. The findings underscored the key parameters’ significant impact on the flow structure and thermal performance. The results revealed that natural convection is more dominant at high Rayleigh and low Hartmann numbers, leading to higher Nusselt numbers and stronger dependence on the tilt angle α. Moreover, the optimal heat transfer conditions were obtained for the following parameters: Ha = 25, α = 45°, ϕ = 6%, and Ra = 106 with a rate of 4.985. This study offers valuable insights into achieving a balance between these competing factors by determining the optimal conditions for maximizing heat transfer while minimizing entropy generation. The findings contribute to enhancing the design of thermal systems that utilize magnetic nanofluids for efficient heat dissipation, making the research particularly relevant to advanced cooling technologies and compact thermal management solutions.
Automated Dual-Side Leather Defect Detection and Classification Using YOLOv11: A Case Study in the Finished Leather Industry
Authors: Banduka Nikola , Tomić Katarina , Živadinović Jovan , Mladineo Marko
Published: December 2024

This study explores the optimization of leather defect detection through the advanced YOLOv11 model, addressing long-standing challenges in quality control within the leather industry. Traditional inspection methods, reliant on human accuracy ranging between 70% and 85%, have limited leather utilization rates and contributed to substantial material waste. To overcome these limitations, we developed an automated solution leveraging controlled environmental conditions within a custom-designed light chamber. This research specifically targets common defects in leather, such as insect larvae damage and removal cuts, by analyzing both the grain and flesh sides of the material. The results reveal a notable improvement in detection accuracy on the flesh side, achieving 93.5% for grubs and 91.8% for suckout, compared to 85.8% and 87.1% on the grain side. Classification accuracy further demonstrates the advantage of dual-side analysis, with the flesh side reaching 98.2% for grubs and 97.6% for suckout, significantly outperforming the grain side. The dual-side methodology, combined with YOLOv11’s enhanced capabilities, enables the precise identification of subtle defects and offers a transformative approach to leather defect detection. By integrating cutting-edge AI models with standardized digitization environments, this research presents a scalable, highly efficient solution that reduces human error, optimizes leather utilization, and supports industrial sustainability.
Modular Stems in Revision Hip Arthroplasty: A Three-Step Technique
Authors: Pirato Francesco , Vittori Jacopo , Dettoni Federico , Bruzzone Matteo , Rossi Roberto , Cottino Umberto
Published: December 2024

Background: Complications such as periprosthetic fractures necessitate challenging revision surgeries. In particular, femoral stem revisions can be complicated by poor bone quality, making primary stability and leg length restoration difficult to achieve. Modular fluted tapered stems (MFTSs) have emerged as a viable option for these complex cases. This study aims to describe a reproducible three-step technique for femoral stem revision using MFTSs. The technique focuses on (1) obtaining distal primary stability, (2) restoring leg length, and (3) ensuring overall implant stability. Materials and methods: We conducted a retrospective analysis of ten patients who underwent revision THA using this three-step technique, with a minimum follow-up of 12 months. The mean patient age was 70.7 years, and the average follow-up was 24.2 months. Limits were the small sample size, the lack of clinical outcomes and the short-term follow-up. Results: There was no subsidence, a mean leg length discrepancy of 4 mm (p: 0.604), and no dislocations. However, heterotopic ossifications (HOs) were observed in 25% of patients, although no trochanteric migrations occurred. One patient experienced an intraoperative femoral fracture, which was successfully treated. Conclusions: This three-step approach can break down the revision procedure, making it more accessible to surgeons. The findings suggest that this technique is effective in achieving reliable outcomes in femoral stem revisions, potentially improving the standard of care for patients requiring complex THA revisions.