bluuebunny/crossref_metadata_2025 huggingface dataset:
Statin Use and Major Adverse Cardiovascular Events Among Patients with Ischemic Heart Diseases: A Multi-Center Retrospective Study
Authors: Hafiz Awatif , Aljohani Sarah , Kutbi Hussam , Fatani Nayyara , Alkhathran Lama , Alyaqub Majd , Alhamed Meshal S. , Alhaqbani Abdulrhaman O. , Alhadlaq Abdulrahman A. , Alsalman Mohammed A. , Al Yami Majed S. , Almohammed Omar A.
Published: January 2025

Objective: The objective of this study was to evaluate the effects of adherence to the ACC/AHA 2018 dyslipidemia guidelines on patient management of lipid-lowering therapy in patients with ischemic heart diseases (IHD) and its correlation with major adverse cardiovascular events (MACEs), including non-fatal MI, stroke, death, hospitalization for revascularization, and peripheral arterial disease. Methods: A multi-center retrospective observational study was conducted in patients with IHD between January 2019 and December 2020, who were followed for two years. The primary objective was to assess statin utilization and adherence to the 2018 ACC/AHA guidelines and the associated influence on MACE outcomes. Inferential statistical analyses, including chi-square tests and the Mann–Whitney test, were conducted to assess the associations between adherence to the guidelines, MACE rates, and LDL-C goal achievement. Results: The study included 1011 patients with ischemic heart disease (IHD), predominantly male (78.2%), with a mean age of 59 ± 10.9 years. Non-adherent patients had higher baseline LDL-C levels (3.0 ± 1.1 mmol/L vs. 2.7 ± 1.2 mmol/L; p = 0.0005), while adherent patients were more likely to be on cardiovascular medications, including statins (78.4% vs. 57.4%), aspirin (74.2% vs. 56.3%), and P2Y12 inhibitors (69.5% vs. 48.4%), compared to non-adherent patients. Adherence was associated with lower non-fatal MI rates (9.3% vs. 21.1%, p < 0.0001) and fewer revascularizations (9.3% vs. 16.8%; p = 0.0024). Additionally, 49.2% of adherent patients achieved target LDL-C goals, compared to 30.5% of the non-adherent patients (p < 0.0001). Notably, there were no significant differences in stroke, peripheral arterial disease, or mortality rates. Conclusions: The achievement of target LDL-C goals and reduced MACEs was observed with adherence to the 2018 ACC/AHA dyslipidemia guidelines. However, lipid management in IHD patients remains sub-optimal, highlighting opportunities for further enhancement.
Early Independent Wheeled Mobility in Children with Cerebral Palsy: A Norwegian Population-Based Registry Study
Authors: Kilde Anne , Evensen Kari Anne I. , Kløve Nina , Rodby-Bousquet Elisabet , Lydersen Stian , Klevberg Gunvor Lilleholt
Published: January 2025

Background: The aim was to explore independent wheeled mobility in children with CP, and identify predictors of early independent wheeled mobility and changes over time across birth cohorts. Methods: We included data from the Norwegian Quality and Surveillance Registry for Cerebral Palsy (NorCP) comprising 11,565 assessments of 1780 children born in 2002–2019. Variables included demographic data, Gross Motor Function Classification System (GMFCS) and Manual Ability Classification System (MACS) levels, wheelchair use, and independent wheeled mobility. Cox proportional hazard regression was used to identify predictors for early independent wheeled mobility. Kaplan–Meier survival curves were used to compare birth cohorts. Results: Of 769 (43%) children who used a wheelchair, 511 (67%) had independent wheeled mobility. Two thirds of the children (n = 337) achieved independent wheeled mobility before age 7. Most children with independent wheeled mobility used powered wheelchairs. Children at GMFCS levels III and IV were more likely to reach independent wheeled mobility at an early age. Children at MACS levels III–V had a lower probability of early independent wheeled mobility. The average age of achieving independent mobility decreased from 9.5 to 4.0 years between birth years 2002 and 2019. Conclusions: Two in three children were independent wheelchair users before 7 years of age, and the age of obtaining independent wheeled mobility has decreased over the last 20 years. Children with better hand function were more likely to obtain early independent wheeled mobility. Early intervention programs to promote mobility, development and participation should include powered mobility, adapted steering options, and interventions for hand function.
Resilience Assessment in a Seawater Pumping Station Using Ordinal Patterns and Permutation Entropy Approach
Authors: Durán Orlando , Salas Christian , Peña Alejandro
Published: January 2025

The increasing demand for water in arid regions has driven the adoption of seawater desalination plants as critical infrastructure for industrial and domestic applications. However, these plants face unique challenges, including high operational costs, environmental vulnerabilities, and system reliability concerns. The critical nature of these infrastructures demands maintaining elevated levels of availability and demonstrating robust resilience. Resilience is framed as the system’s capacity to recover from disruptions and maintain operational efficiency under varying conditions. Quantitative assessment of resilience is essential to facilitate the development and implementation of optimal strategies that ensure operational continuity. This paper puts into practice a novel approach to evaluate the resilience of a seawater intake and pumping system using permutation entropy computed using time series availability data derived from different maintenance strategies. The methodology integrates reliability block diagrams (RBD) and symbolic time series analysis to identify critical components and evaluate maintenance strategies. A case study of a seawater pumping station demonstrates the application of the proposed resilience index. The analysis explored four scenarios to evaluate how these changes improved the system’s resilience: the first three hypothetical scenarios involved testing improvements in the maintainability and reliability indexes of the critical pump. These improvements matched the values of these parameters to the benchmark of the pump, historically showing the best indicators, first one by one, separately, and then both changes simultaneously. The initial resilience index was 0.652 in the baseline scenario. Scenario 1 (reduction in MTTR) showed a negligible impact, while scenario 2 (reduction in downtime) increased the resilience index to 0.682. The combination of both (scenario 3) maintained the index at 0.682, emphasizing the importance of reducing downtimes. Scenario 4, which consisted of reducing and standardizing the frequency of planned maintenance to 100 h, significantly raised the resilience index to 0.778. The results highlight how adjustments in maintenance strategies, including the reduction in preventive interventions, impact the system’s resilience and availability. The study also underscores the importance of aligning maintenance strategies with resilience goals to enhance the operational reliability of marine infrastructure. By providing a quantitative tool for resilience assessment, this work contributes to the sustainable management of desalination plants and offers practical insights for engineers and decision-makers in the marine engineering and water management sectors.
Improving the Seismic Impedance Inversion by Fully Convolutional Neural Network
Authors: Tao Liurong , Gu Zhiwei , Ren Haoran
Published: January 2025

Applying deep neural networks (DNNs) to broadband seismic wave impedance inversion is challenging, especially in generalizing from synthetic to field data, which limits the exploitation of their nonlinear mapping capabilities. While many research studies are about advanced and enhanced architectures of DNNs, this article explores how variations in input data affect DNNs and consequently enhance their generalizability and inversion performance. This study introduces a novel data pre-processing strategy based on histogram equalization and an iterative testing strategy. By employing a U-Net architecture within a fully convolutional neural network (FCN) exclusively trained on synthetic and monochrome data, including post-stack profile, and 1D linear background impedance profiles, we successfully achieve broadband impedance inversion for both new synthetic data and marine seismic data by integrating imaging profiles with background impedance profiles. Notably, the proposed method is applied to reverse time migration (RTM) data from the Ceduna sub-basin, located in offshore southern Australia, significantly expanding the wavenumber bandwidth of the available data. This demonstrates its generalizability and improved inversion performance. Our findings offer new insights into the challenges of seismic data fusion and promote the utilization of deep neural networks for practical seismic inversion and outcomes improvement.
Low-Complexity Ultrasonic Flowmeter Signal Processor Using Peak Detector-Based Envelope Detection
Authors: Yu Myeong-Geon , Kim Dong-Sun
Published: January 2025

Ultrasonic flowmeters are essential sensor devices widely used in remote metering systems, smart grids, and monitoring systems. In these environments, a low-power design is critical to maximize energy efficiency. Real-time data collection and remote consumption monitoring through remote metering significantly enhance network flexibility and efficiency. This paper proposes a low-complexity structure that ensures an accurate time-of-flight (ToF) estimation within an acceptable error range while reducing computational complexity. The proposed system utilizes Hilbert envelope detection and a differentiator-based parallel peak detector. It transmits and collects data through ultrasonic transmitter and receiver transducers and is designed for seamless integration as a node into wireless sensor networks (WSNs). The system can be involved in various IoT and industrial applications through high energy efficiency and real-time data transmission capabilities. The proposed structure was validated using the MATLAB software, with an LPG gas flowmeter as the medium. The results demonstrated a mean relative deviation of 5.07% across a flow velocity range of 0.1–1.7 m/s while reducing hardware complexity by 78.9% compared to the conventional FFT-based cross-correlation methods. This study presents a novel design integrating energy-efficient ultrasonic flowmeters into remote metering systems, smart grids, and industrial monitoring applications.
Performance Assessment of All-Solid-Waste High-Strength Concrete Prepared from Waste Rock Aggregates
Authors: Li Yunyun , Huang Meixiang , Li Jiajie , Zhang Siqi , Yang Guodong , Chen Xinying , Du Huihui , Ni Wen , Song Xiaoqian , Hitch Michael
Published: January 2025

In order to solve the problems of the large-scale resource utilization of iron ore waste rock, waste rock is used to prepare green building materials, but it needs to be further promoted for use in high-strength concrete. In this study, high-strength concrete was prepared using iron ore waste rock as coarse and fine aggregates combined with solid waste-based cementitious materials. The mechanical and durability properties of washed and unwashed concrete with two types of aggregates were compared, including compressive strength, freeze resistance, chloride ion resistance, carbonation resistance, pore distribution, microstructural characteristics, and environmental and economic benefits. The results indicated that water-washing pretreatment significantly reduced the stone powder content of waste stone aggregate from 14.6% to 4.5%, which had a significant effect on the basic properties of concrete. The compressive strength of concrete with water-washed waste rock aggregate was 61 MPa, 64.9 MPa, and 68.8 MPa at 28, 56, and 360 days, respectively, with long-term stability. The washed aggregate concrete had a porosity of less than 4%, freeze-resistant grade of F200, 28 d electrical flux <500 C, and a carbonation depth of less than 10 mm. The improved performance of the washed aggregate concrete was attributed to the fact that after washing pretreatment, the water absorption of the aggregate was reduced, the cementitious materials were fully hydrated, and the internal microstructure was denser. The high-strength concrete prepared in this study effectively used iron ore waste rock and solid waste-based cementitious materials, which not only reduces environmental burden but also provides basic data references for future engineering applications using iron ore waste rock aggregate concrete.
The Influence of the Binder Phase on the Properties of High-Pressure Sintered Diamond Polycrystals or Composites for Cutting Tool Applications
Authors: Jaworska Lucyna
Published: January 2025

A review of binder phases used for sintering diamond powders under high pressure and high temperature conditions along with an outline of the properties of polycrystalline diamonds or composite materials intended for cutting tools, wire drawing dies, and drilling rocks are presented. The interaction of diamond with metals from group VIII of the periodic table, carbon-forming metals, carbides, MAX phases and with silicides, borides, and alkali carbonates is presented. The interaction of the bonding phases with diamond was determined. The influences of sintering process parameters, amounts, and methods of introducing of these phases on the basic mechanical properties and thermal resistance of diamond materials are analyzed. The investigated material properties are compared with the properties of commercial PCD with a cobalt and the SiC binder phase.
Design and Discrete Element (DEM) Simulation Analysis of Grassland Ecological Cleaning and Restoration Vehicle
Authors: Yin Lvfa , Guo Anfu , Liu Chang , Guo Minghui , Yang Dechao , Gao Xianxiang , Wu Hailong
Published: January 2025

To reduce the weight of the grassland ecological restoration vehicle disk brush, force analysis and topology optimization are carried out to reduce the weight of the disk brush by 55.43%. Then, the study found that the vehicle speed and the rotational speed of the disk brush have an effect on the trajectory of garbage throwing, and the relationship between the two needs to be coordinated. The sweeping effect works best when the speed ratio coefficient is greater than 1.826, which can be found by matching the motion trajectory equation with the speed ratio coefficient λ. Based on the discrete element method (DEM), it is verified that when the rotational speed is 90 r/min and the vehicle speed is 10 km/h, the sweeping effect is the best, and the influence on plants is minimized. Finally, the seeding effect of grass seeds was verified by a three-factor three-level orthogonal experiment. The results showed that high rotational speed and multiple slots could reduce the row spacing of seeding, while higher speed increased the row spacing of seeding. When the rotational speed of the seed-displacement disk was 50 r/min, the number of slots was 24, and the vehicle speed was 15 km/h, the seed displacement reached the maximum, and the row spacing was in line with the reasonable seeding requirements of ryegrass. The experimental results provide technical support for similar grassland cleaning and restoration vehicles in the future.
Analysis of Nonuniform Deformation in Aluminum Wires Under Varying Torsional Loads Using EBSD Measurement and Multiscale Crystal Plasticity
Authors: Rezaei Mohammad Javad , Warchomicka Fernando , Poletti Maria Cecilia , Pourbashiri Mojtaba , Sedighi Mohammad
Published: January 2025

Computational crystal plasticity (CP) models are widely utilized in the literature to analyze the deformation responses of materials at the microstructural level under macroscopic loading conditions. The challenge of connecting changes in texture with macroscopic loading can be effectively addressed through a multiscale CPFE approach. This research focuses on bridging changes in texture and macroscopic loading in pure aluminum wire under torsional loading through the innovative use of the multiscale CP finite element simulation approach and integration with experimental data. The study deals with the effects of the initial average grain size, strain rate, and strains on microstructural evolution at room temperature and mechanical properties. An inhomogeneous initial texture for an as-received specimen was extracted using EBSD measurements and assigned to a CP code to solve the multiscale CPFEM simulations. Changes in texture obtained from pole figures indicated that the A (111¯)[11¯0],B (112¯)[11¯0], B¯ (1¯1¯2)[1¯10], C (100)[01¯1], A1∗ (111¯)[21¯1], and A2∗(11¯1) [2¯1¯1] components had the highest frequencies among the torsional tests. The analysis of the resulting texture through the Taylor factor (TF) revealed that the average TF distribution increased from 2.65 to 3.04 when the local strain increased from 0.5 to 2.5 revolutions. Furthermore, an increase in the number of rotations from 0.5 to 2.5 resulted in an 11% increase in average hardness near the outer surface of specimens with an average grain size of 55 µm.
Methimazole-Induced Hypothyroidism Increases the Content of Glycogen and Changes the Expression of LDH, GLUT4, and Aromatase in the Pregnant Uterus of Rabbits
Authors: Espindola-Lozano Marlen , Méndez-Tepepa Maribel , Castillo-Romano Marlenne , Rojas-Juárez Rubicela , Nicolás-Toledo Leticia , Rodríguez-Antolín Jorge , Castelán Francisco , Cuevas-Romero Estela
Published: January 2025

Objective: To determine the impact of hypothyroidism on uterine glycogen accumulation during pregnancy. Methods: Non-pregnant and pregnant (days 5, 10, and 20) rabbits were grouped into control and methimazole (MMI) groups. In rabbits, serum concentrations of thyroxine (T4), triiodothyronine, glucose, insulin, progesterone, and estradiol were quantified. In uterine inter- and implantation sites, the glycogen content and expression of lactate dehydrogenase (LDH), GLUT4, and aromatase were quantified via Western blot. Fetuses’ characteristics at 20 days of pregnancy were analyzed. Two-way ANOVA was used to compare variables between groups. Results: Pregnancy reduced T4 concentrations but not T3. In virgin groups, MMI treatment significantly reduced the concentrations of T4 and T3 and increased the expression of GLUT4 and aromatase in the uterus compared to the control group. In pregnant groups, T4, T3, glucose, insulin, progesterone, and estradiol levels were similar between control and MMI-treated rabbits. Compared to controls, MMI treatment in pregnant rabbits (a) reduced GLUT4 expression on inter-implantation sites on day 5; (b) increased glycogen content on implantation sites but reduced GLUT4 expression on inter-and implantation sites on day 10; (c) increased glycogen content and LDH and aromatase expression but reduced GLUT4 on inter-implantation sites; and (d) increased glycogen content and the expression of LDH, GLUT4, and aromatase on day 20 on implantation sites. Moreover, the fetus characteristics were similar between groups. Conclusions: MMI-induced hypothyroidism is associated with changes in the uterine content of glycogen and the expression of LDH, GLUT4, and aromatase during pregnancy.
Parametric Cyclic Voltammetric Analysis of an Electrochemical Aptasensor for Staphylococcus aureus Iron-Regulated Surface Determinant Protein A Detection
Authors: Soleimani Shokoufeh , Bruce-Tagoe Tracy Ann , Ullah Najeeb , Danquah Michael K.
Published: January 2025

Rapid and reliable detection of pathogens requires precise and optimized analytical techniques to address challenges in food safety and public health. This study focuses on the parametric characterization of an electrochemical aptasensor for Staphylococcus aureus (S. aureus) iron-regulated surface determinant protein A (IsdA) using cyclic voltammetry (CV) analysis, which offers a robust method for evaluating electrode modifications and electrochemical responses. Key parameters were optimized to ensure maximum sensitivity, including an aptamer concentration of 5 μM, an incubation time of 4 h, a potential range from −0.1 to 0.9 V, and a scan rate of 0.05 V/s. The aptasensor achieved stability and peak performance at pH 7.5 and 25 °C. These conditions were critical for detecting the IsdA protein as a biomarker of S. aureus. The aptasensor applicability was demonstrated by successfully detecting S. aureus in food samples such as milk and apple juice with high specificity and reliability. Zeta potential measurements confirmed the layer-by-layer charge dynamics of the AuNPs-aptamer-IsdA system. This work emphasizes the importance of CV in understanding the performance of the electrochemical sensor, and supports the aptasensor as a practical, sensitive, and portable tool for addressing critical gaps in foodborne pathogen detection.
Editorial for the Special Issue on Thin Film Microelectronic Devices and Circuits
Authors: Dong Chengyuan
Published: January 2025

Thin film microelectronic devices and circuits (TFMDCs), including thin film transistors (TFTs), thin film solar cells (TFSCs), thin film sensors (TFSs), thin film memories (TFMs), etc [...]
Chromogenic Mechanism and Formation of Zonal Genesis of Raspberry-Red Grossular from the Sierra de Cruces Range, Mexico
Authors: Wu Siyuan , Zhao Siyi , Zhao Yi , Zhang Chenxi
Published: January 2025

The raspberry-red grossular, discovered in the Sierra de Cruces in Coahuila, Mexico, is characterized by its zoned coloration, featuring a pink rim and a black mantle with a sharp color transition at the border. However, there is a notable lack of definitive and systematic identification characteristics pertaining to its special zones. The mineral chemical composition and chromogenic mechanism remain unsupported by empirical validation derived from specific experimental data. In this study, the gemological properties, chemical composition, and spectral characteristics are systematically analyzed to explore the chromogenic mechanism and formation of zonal genesis. The results of the X-ray diffraction pattern, Raman spectrum, and major elements’ composition show that the raspberry-red grossular samples are grossular with high purity. Mn ions are a direct coloring factor of the pink rim of the grossular samples, while Fe ions are chromogenic elements of the black mantle. The MnO content of the pink rim ranges from 0.15 wt% to 1.72 wt%. The FeO content of the black mantle ranges from 3.11 wt% to 5.09 wt%, which is generally higher than that of other parts. The trace element compositions reveal that the rim and core of samples were formed in an oxidative environment (δEu = 0.43–2.41), which could be derived from the hydrothermal metasomatic skarn (δ18O = 11.03–12.14); the mantles of samples were formed in a reducing environment (δEu = 0.42–0.85), which is consistent with the magmatic skarn (δ18O = 11.40–11.66). They also show that the surrounding rocks provide part of the compositional sources for the raspberry-red grossular and interact with the black mantle, which affects the formation of the pink rim. This study offers geological and mineral compositional insights, addressing a significant void in the study of raspberry-red grossular, and lays the foundation for follow-up investigations.
New Nanobioceramics Based on Hydroxyapatite for Biomedical Applications: Stability and Properties
Authors: Ciobanu Carmen Steluta , Predoi Daniela , Iconaru Simona Liliana , Negrila Catalin Constantin , Leduc Damien , Ghegoiu Liliana , Bleotu Coralia , Kettani Mounsif Ech Cherif El , Trusca Roxana , Zelmar Philippe , Predoi Mihai Valentin
Published: January 2025

In this work, we report for the first time the development and complex characterization of new bioceramics based on hydroxyapatite (HAp, Ca10(PO4)6(OH)2). On the other hand, the lyophilization process was used for the first time in this research. The samples were obtained by a modified coprecipitation method and were dried by lyophilization (lyophilized hydroxyapatite (HApLF) and lyophilized zinc-doped hydroxyapatite (5ZnHApLF)). Valuable information about the HApLF and 5ZnHApLF stability was obtained through nondestructive ultrasound measurements. The X-ray diffraction (XRD) studies revealed the phase and the effects of the incorporation of Zn ions into the HAp structure. The chemical composition of the samples was evaluated by energy dispersive X-ray analysis (EDS) and X-ray photoelectron spectroscopy (XPS). Information about the functional groups present in the HApLF and 5ZnHApLF was obtained using Fourier Transform Infrared Spectroscopy (FTIR) studies. The morphology of HApLF and 5ZnHApLF pellets was observed by scanning electron microscopy (SEM). The surface topography of HApLF and 5ZnHApLF pellets was studied with the aid of atomic force microscopy (AFM). Details regarding the roughness of the samples were also obtained using AFM topographies and SEM images. A complementary study was also carried out on a larger analysis surface using a Scanning Acoustic Microscope (SAM). The SAM was used for the first time to analyze the surface of HAp and 5ZnHAp pellets. The biological properties of the HApLF and 5ZnHApLF pellets was investigated with the aid of MG63 and human gingival fibroblasts (HGF-1) cell lines. The results of the cell viability assay highlighted that both the HApLF and 5ZnHApLF pellets exhibited good biological activity. Moreover, SEM and AFM studies were conducted in order to emphasize the development of MG63 and HGF-1 cells on the pellet’s surface. Both SEM and AFM images depicted that the pellets’ surface favored the cell attachment and development of MG63 and HGF-1 cells. Furthermore, the antimicrobial properties of the HApLF and 5ZnHApLF were evaluated against Escherichia coli ATCC 25922, Staphylococcus aureus ATCC 25923, and Candida albicans ATCC 10231. The results of the antimicrobial assays highlighted that the 5ZnHApLF exhibited a strong antimicrobial activity against the tested microbial strains. The results of the biological assays suggested that the samples show great potential for being used in the development of novel materials for biomedical applications.
Does Resveratrol Impact Oxidative Stress Markers in Patients with Head and Neck Cancer Receiving Home Enteral Nutrition?
Authors: Ławiński Michał , Zadka Katarzyna , Ksepka Natalia , Matin Maima , Wysocki Kamil , Karkocha Dominika , Gradowska Aleksandra , Atanasov Atanas G. , Słodkowski Maciej , Wierzbicka Agnieszka , Jóźwik Artur
Published: January 2025

Objectives: Resveratrol (RES) is well documented for its multiple health benefits, with a notable impact on cancer prevention and therapy. This study aimed to evaluate the effect of RES supplementation on oxidative stress in patients with head and neck cancer (HNC) receiving home enteral nutrition (HEN). Methods: This randomized, single-center, open-label study involved 72 adult patients, with 40 completing the intervention. Participants in the intervention group received 400 mg of liposomal RES daily for 12 weeks alongside HEN, while the control group received HEN only. Body composition and oxidative stress markers—including total antioxidant capacity (TAC), malondialdehyde (MDA), superoxide dismutase (SOD), glutathione peroxidase (GPx), and reduced glutathione (GSH)—were measured at baseline and after 12 weeks. Results: Significant increases in TAC and SOD activity were observed in both groups. GPx activity increased significantly only in the RES group. MDA levels rose in both groups but were more pronounced in the RES group. GSH levels showed no significant changes. Phase angle (PhA) increased significantly in the RES group, while no significant change was observed in the control group. Conclusions: RES supplementation may enhance antioxidant defenses, as evidenced by increased GPx activity and improvements in TAC and SOD levels, supporting oxidative balance in patients with HNC receiving HEN. The higher MDA levels in the RES group may reflect RES’s dual antioxidant and pro-oxidant activities. Additionally, the observed increase in PhA suggests potential cellular health benefits. These findings highlight the potential of RES as a complementary antioxidant intervention in clinical oncology, warranting further investigation to clarify its therapeutic effects on oxidative stress and cellular health in cancer care.
Selected Plant Extracts Regulating the Inflammatory Immune Response and Oxidative Stress: Focus on Quercus robur
Authors: Nehme Rawan , Chervet Arthur , Decombat Caroline , Habanjar Ola , Longechamp Lucie , Rousset Amandine , Chalard Pierre , Gainche Mael , Senejoux Francois , Fraisse Didier , Filaire Edith , Berthon Jean-Yves , Diab-Assaf Mona , Delort Laetitia , Caldefie-Chezet Florence
Published: January 2025

Background/Objectives: Inflammation is a vital response of the immune system, frequently linked to the development and progression of numerous chronic and autoimmune diseases. Targeting inflammation represents an attractive strategy to prevent and treat these pathologies. In this context, many pathways, including pro-inflammatory cytokines secretion, NFκB activation, reactive oxygen species (ROS) production, inflammasome activation and arachidonic acid metabolism could be highlighted and addressed. Several plant materials have traditionally been used as effective and non-harmful anti-inflammatory agents. However, well-established scientific evidence is lacking, and their mechanisms of action remain unclear. The current article compares the effects of seven plant extracts, including Quercus robur L. (Oak), Plantago lanceolata L. (narrowleaf plantain), Plantago major L. (broadleaf plantain), Helichrysum stoechas L. (immortelle or helichrysum), Leontopodium nivale alpinum Cass. (edelweiss), Medicago sativa L. (alfafa) and Capsella bursa-pastoris Moench (shepherd’s purse) on different inflammatory pathways. Results: All of the plant extracts significantly affected ROS production, but their action on cytokine production was more variable. As the Quercus robur extract showed the highest efficacy in our models, it was subsequently assessed on several inflammatory signaling pathways. Quercus robur significantly decreased the secretion of IFNγ, IL-17a, IL-12, IL-2, IL-1β and IL-23 in stimulated human leucocytes, and the expression of TNFα, IL-6, IL-8, IL-1β and CXCL10 in M1-like macrophages. Additionally, a significant reduction in PGE2 secretion, COX2, NLRP3, caspase1 and STAT3 expression and NFκB p65 phosphorylation was observed. Conclusions: Our results clearly indicate that Quercus robur has a potent anti-inflammatory effect, making it a promising candidate for both the treatment and prevention of inflammation and related diseases, thereby promoting overall well-being.
Preparation and Properties of Epoxy Modified Acrylic Polymer
Authors: Zhou Shiyan , Ma Jinmei , Yu Jun-Wen , Gao Zhigang , Li Fei , Zhang Fenghua , He Yu-Peng
Published: January 2025

This paper describes the synthesis of a viscosity-reducing agent using butyl acrylate (BA), ethyl methacrylate (EMA), acrylic acid (AA) and N-hydroxymethylacrylamide (N-MAM) monomers through emulsion polymerization. A series of viscosity-reducing agents were developed by incorporating varying amounts of glycidyl methacrylate (GMA) monomers. The reaction mechanism of epoxy acrylate viscosity reducer was analyzed by Fourier transform infrared spectroscopy (FTIR). Additionally, the particle size and Zeta potential were used to analyze the stability of the polymer and the difference in the polymer after adding GMA monomer. Thermogravimetric (TG) analysis indicated a significant improvement in the thermal stability of the resin due to GMA modification. The viscosity reduction test results demonstrated a substantial decrease in the viscosity of heavy oil, along with a notable increase in the viscosity reduction rate. The FTIR analysis results confirmed that GMA successfully introduced polyacrylate molecular chains. Furthermore, particle size and Zeta potential measurements showed that the average particle size of the emulsion increased from 132 nm to 187 nm, while the Zeta potential changed from −43 mV to −40 mV with the addition of 15% GMA. Compared with W0, the final thermal degradation temperature of W15 increased from 450 °C to 517 °C. When the GMA content reached 15 wt%, the maximum weight loss temperature increased by approximately 12 °C compared to the sample without GMA. Specifically, adding 8% W15 epoxy acrylate resulted in an 89% viscosity reduction rate for heavy oil, demonstrating an excellent viscosity reduction effect. This study successfully developed a novel epoxy acrylate viscosity reducer using a simple synthesis method, showcasing excellent stability, cost-effectiveness and remarkable viscosity reduction.
What the New Atheists (and, for That Matter, Creationists Too) Got Right
Authors: Bellolio Cristobal
Published: January 2025

The reception of the so-called New Atheism in the 2000s in the intellectual community was harsh. Its main figures were accused of elaborating on a subject of which they were mostly ignorant. Criticism focused on the narrow way they described religion as a set of factual beliefs that compete with—and pale in the face of—modern science, instead of a life experience, an ethical orientation, an existential commitment, or a set of communal practices. In the spirit of S.J. Gould’s non-overlapping magisteria thesis, these critics contended that religion has little to do with factual assertions. This paper challenges this strict separation, arguing that many theistic traditions, such as Christianity, inherently make factual claims about the universe and history, intertwining their beliefs with cosmic realities. Following Ronald Dworkin’s posthumous distinction between the “science part” and the “value part” of religion, the paper underscores the philosophical legitimacy of religious factual claims, thus acknowledging the potential overlap between science and religion. In this sense, it argues that the New Atheists may have got wrong the meaning of religion in many people’s lives, but they got the “science part” right enough. In the same vein, it concludes that while creationists are most likely wrong in their account of the origin of life and biodiversity, their contestation in the factual domain cannot be discarded as a disfigurement of religion.
Talent Introduction Policies, Optimal Labor Allocation, and Corporate Green Innovation
Authors: Wang Xin , Feng Youshuai , Qian Long , Liang Fusheng
Published: January 2025

Under the “dual carbon” strategy, innovation driving has become the core force for corporate green transformation, with human resources, a key element of green innovation, increasingly gaining attention. This study utilizes data from A-share listed companies to evaluate the impact of China’s urban talent introduction policies on corporate green innovation, focusing on the three dimensions of green product, process, and management innovation. The results reveal that urban talent introduction policies significantly promote corporate green innovation in three areas: green product innovation, green process innovation (end-of-pipe pollution control), and green management innovation. The influx of high-quality talent and optimization of the labor structure represent vital pathways for achieving this impact. Different talent types play different roles in different dimensions of green innovation. Heterogeneity analysis indicates that talent introduction policies have a stronger promoting effect on the green innovation performance of large enterprises, technology-intensive industries, and enterprises in relatively weak regional economies. For enterprises with public–private partnerships, talent admission policies have a more pronounced impact on their green product innovation and process innovation (end-of-pipe pollution control). Furthermore, the impact of talent policy on corporate green innovations in products and processes varies with the intensity of local government intervention. This study emphasizes the key role of talent introduction policies in promoting green innovation, providing theoretical foundations and policy references for implementing sustainable development strategies and environmental protection objectives.
Efficient Urban Flooding Management: A Multi-Physical-Process-Oriented Flood Modelling and Analysis Method
Authors: Liang Yongshuai , Liao Weihong , Wang Hao
Published: January 2025

Flood models are essential for simulating and analysing urban flooding; however, accurately capturing the complex physical processes and their interactions remains challenging. This research introduces a multi-process flood modelling framework designed to generate realistic urban flood simulations. It integrates various hydrological and hydrodynamic processes through data-exchange synchronisation. A new surface flood control model (SFCM) was developed and applied in Huai’an District, China, using the storm water management model as its foundation. The SFCM was used to assess storm events, detect drainage outlets hindered by high river network water levels during extreme rainfall, and evaluate how river backflow affects drainage overflow and surface flooding. Results indicated that higher return periods of rainstorms reduced the number of drainage outlets obstructed by backwater, though backwater worsened surface flooding and drainage overflow. Compared to the current capacity of drainage outlets, using the maximum drainage capacity reduced the overflow rate of rainwater wells by 10.62% on average but increased river cross-section overflow by 1.72%. The average surface inundation area and maximum depth decreased by 0.78 km2 and 0.05 m, respectively. This research introduces an innovative approach for simulating and analysing large-scale urban flooding, offering essential perspectives for urban planning and strategies to prevent flooding.
Applications of Artificial Intelligence in Minimally Invasive Surgery Training: A Scoping Review
Authors: Caballero Daniel , Sánchez-Margallo Juan A. , Pérez-Salazar Manuel J. , Sánchez-Margallo Francisco M.
Published: January 2025

Background/Objectives: Among the scientific literature, the significant potential of the application of artificial intelligence (AI) in minimally invasive surgery (MIS) stands out. The aim of this study is to provide a comprehensive review to analyze the scientific literature on AI applications in MIS training, selecting the main applications, limitations, opportunities and challenges in this field of research. Methods/Design: A literature search was conducted in scientific databases. The search was performed with titles or abstracts, using keywords. First, studies unrelated to the topic of study were eliminated. Next, the selection was limited to articles in English. The exclusion criteria for the search were reviews, letters, case reports, industrial articles and conference abstracts. Next, only studies published in the last ten years (2014–2024) were evaluated, with priority given to publications in the last five years (2019–2024) in surgical training in AI and MIS. Finally, the full text was reviewed to add or exclude the study from this review. Results: Of the 54 studies included in this review, 18 studies were related to skills assessment, 30 studies analyzed aspects of surgical training itself, 12 studies were related to learning aspects of surgical planning, 7 studies were based on gesture recognition and 3 studies were based on surgical action recognition to measure surgical performance during MIS training. A brief description of the main AI techniques was included in this review. Conclusions: The application of AI in MIS surgical training is still a developing field of research, which presents great potential for exploring future applications, challenges, opportunities and drawbacks, as well as synergies between the technical and clinical research fields.
Equal Division Contribution Values of Trapezoidal Fuzzy Numbers and Their Application to Profit Allocation in Cold Chain Logistics for Agricultural Products
Authors: Zhan Jungan , Fan Rong , Liu Minghao , Liu Jiacai , Zhao Wenjian
Published: January 2025

With the acceleration of fresh food e-commerce development, cold chain logistics for agricultural products has increasingly become a research hotspot. However, limited by the number of orders accepted by enterprises, many cold chain transportation vehicles for agricultural products struggle to reach a full load. This undoubtedly increases transportation costs for agricultural product cold chain logistics enterprises. In order to reduce the cost of transportation and increase the profit of enterprises, this paper will adopt the strategy of building enterprise coalition based on cooperative game theory. By increasing the loading rate of transportation vehicles, it will increase the profit of enterprises. First, utilizing the minimization of overall dissatisfaction among players in profit allocation after coalition participation as the objective function, a model of the equal division contribution values of the trapezoidal fuzzy number will be constructed, which will be used as the profit allocation model for the players. Then, the solution of the model will be provided, and the properties including symmetry are analyzed. Second, by improving the loading rate of cold chain transport vehicles as the key and combining various parameters in the transportation stage of agricultural product cold chain logistics, the coalition profit will be calculated. Finally, using the solution of the equal division contribution value of the trapezoidal fuzzy number in the cooperative game as the allocation strategy, the obtained profit will be distributed to each enterprise participating in the coalition. The results show that when dealing with cooperative profit allocation problems in similar scenarios, the solutions of the equal division contribution value of the trapezoidal fuzzy number are highly reliable and adaptable. The method presented in this paper can not only increase the profit of enterprises but also minimize the overall dissatisfaction of all enterprises with the allocation result.
DETERMINAN FAKTOR PENINGKATAN PENJUALAN INDUSTRI KREATIF DI JAWA TIMUR
Authors: Iqbal Saladin Harahap  , Murtianingsih  , Mohammad Bukhori
Published: January 2025

Industri kreatif merupakan sektor penting dalam perekonomian Indonesia, berkontribusi sekitar Rp 1.280 triliun atau 6,54% terhadap PDB Nasional. Subsektor kuliner dan fashion menjadi penyumbang terbesar. Namun, angka ini masih lebih rendah dibandingkan Korea Selatan, yang mencapai 8,67%. Penelitian ini bertujuan untuk menganalisis pengaruh strategi pemasaran terhadap peningkatan penjualan di industri kreatif subsektor kuliner dan fashion di Jawa Timur. Penelitian dilakukan di empat kota besar (Malang, Surabaya, Probolinggo, dan Jombang) dengan 198 responden yang dipilih menggunakan purposive sampling. Data dianalisis menggunakan regresi linier berganda melalui SPSS. Hasil penelitian menunjukkan bahwa tujuh variabel pemasaran, baik secara individu maupun simultan, berkontribusi signifikan terhadap peningkatan penjualan. Temuan ini menegaskan pentingnya strategi pemasaran yang terencana dan efektif untuk meningkatkan daya saing dan penjualan pelaku usaha di industri kreatif. Penelitian ini memberikan implikasi bahwa pelaku bisnis harus fokus pada inovasi pemasaran untuk mengoptimalkan potensi sektor ini.
 
Kata Kunci: saluran distribusi, kesadaran merek, promosi, promosi penjualan, upselling, hubungan pelanggan, loyalitas pelanggan, penjualan, industri kreatif, Jawa Timur.
PENGARUH MOTIVASI KERJA, DISIPLIN KERJA DAN KEPUASAN KERJA TERHADAP KINERJA PEGAWAI PADA KANTOR KELURAHAN DI WILAYAH KECAMATAN KEPANJEN KABUPATEN MALANG
Authors: Nazil Fina Izmi , Respati Harianto , Natsir Mokhamad
Published: January 2025

This study aims: (1)To describe the variables of work motivation, work discipline, job satisfaction and employee performance at the village office in the Kepanjen District area; (2)To determine and analyze the effect of work motivation, work discipline, job satisfaction on employee performance at the village office in the Kepanjen District area; (3)To determine and analyze which of work motivation, work discipline, and job satisfaction has a dominant effect on employee performance at the village office in the Kepanjen District area. This research data uses primary data obtained from the results of distributing questionnaires using Likert scale research instruments. The questionnaire was distributed using the census method to all employees of the village office in the Kepanjen District of Malang Regency with a sample of 36 respondents. Data analysis techniques using descriptive analysis, multiple linear regression analysis, classical assumption test, t test and f test. The results of data analysis show that work motivation, work discipline, job satisfaction have a positive and significant effect on employee performance. Furthermore, it was found that work motivation has the most dominant influence on employee performance compared to work discipline and job satisfaction variables
Nelumbo Nucifera (Lotus): A Review on Ethnobotany, Phytochemistry and Pharmacology
Authors: Sahana Mr. Abhijit , (Das) Sahana Mrs. Ruma
Published: January 2025

China and India have long utilized the perennial
aquatic plant Nelumbo nucifera Gaertn
(Nymphaeaceae) as a medicinal herb. For over 400
years, it has been mentioned in China's most
renowned medical text. In traditional medicine,
several plant parts, including leaves, seeds, flowers,
and rhizomes, might be utilized. The various plant
parts are said to have positive effects in traditional
medicine, including treating pharyngoplasty,
pectoralgia, spermatorrhoea, leukoderma,
smallpox, dysentery, cough, asthma, epistaxis,
haemoptysis, hemouria, metrorrhagia,
hyperlipidaemia, fever, cholera, hepatopathy, and
hyperdipsia. Lotus seeds are special because of
their longevity. According to studies, they possess
psychopharmacological, immunomodulatory,
hepatoprotective, hypoglycaemic, anti-analgesic,
anti-Parkinsonian, anti-reproductive, and antidermatophyte qualities. The traditional use,
phytochemistry, and medicinal data on the
various components of N. nucifera, specifically the
leaves, rhizomes, seeds, and flowers. The various
chemicals that were separated from various plant
sections and the medicinal benefits derived from
these plant constituents are also described in this
research. Given their high fibre, starch, vitamin,
and mineral content, there may be promising
prospects for further development and use as
functional ingredients and additives in the food
sector. It is necessary to research the lotus plant's
qualities in order to use it as a functional ingredient
in the food industry, such as flour for bakeries,
antioxidants, baby food, extruded goods,
beverages, etc., particularly the lotus plant's
rhizome properties.
Dinamika Urbanisasi di Provinsi Kalimantan Timur
Authors: Puspita Dewi Dhyah , Adhar Khairunnisa
Published: January 2025

Urbanisasi adalah fenomena yang tidak dapat dihindari dan terus terjadi hingga saat ini. Proses urbanisasi di Indonesia telah terjadi sejak kemerdekaan dimulai hingga saat ini. Provinsi Kalimantan Timur adalah salah satu provinsi yang menjadi tujuan urbanisasi. Penelitian ini bertujuan untuk mengidentifikasi urbanisasi Provinsi Kalimantan Timur. Data sekunder berupa sensus penduduk dan data citra dari google earth tahun 2020, 2010, dan 2000 dianalisis secara kuantitatif dan kualitatif serta disajikan secara deskriptif. Hasil penelitian menemukan bahwa tingkat urbanisasi di Provinsi Kalimantan Timur sangat beragam dan yang tertinggi mencapai 100% di Kota Balikpapan dan Kota Bontang yang mencerminkan menghilangnya kawasan perdesaan. Selain itu, konsentrasi penduduk tertinggi berada di Kota Samarinda dan Kota Balikpapan. Penelitian ini diharapkan dapat menjadi pertimbangan dalam pembuatan kebijakan oleh para pemangku kepentingan untuk dapat memanfaatkan dampak positif urbanisasi dan bersiap untuk meminimalisir dampak negative urbanisasi yang sangat signifikan.