bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization of Argonaute Nuclease from Mesophilic Bacterium Chroococcidiopsis
Authors: Peng Yanhong , Zhang Yue , Liu Yang , Ma Lixin
Published: January 2025

Mesophilic microbial sources of prokaryotic Argonaute (pAgo) programmable nucleases have garnered considerable attention for their potential applications in genome editing and molecular diagnostics. In this study, we characterized a novel pAgo from the mesophilic bacterium Chroococcidiopsis sp. (ChAgo), which can cleave single-stranded DNA (ssDNA) using both 5′-phosphorylated guide DNA (5′P-gDNA) and 5′-hydroxylated guide DNA (5′OH-gDNA). Efficient cleavage occurs using 14–25 nt 5′P-gDNA and 13–20 nt 5′OH-gDNA in the presence of Mn2+ ions at temperatures ranging from 25 to 75 °C, with optimal activity at 55 °C. ChAgo demonstrates low tolerance for single-base mismatches, similar to other pAgo proteins. The cleavage efficiency varies based on the guide/target pair, with mismatches at specific positions significantly reducing activity. For instance, mismatches at positions 4, 5, or 12 in T-gDNA/target pairs and at positions 5 or 8–10 in g38NT-gDNA/target pairs notably decrease efficiency. ChAgo’s sensitivity to mismatches makes it a promising tool for nucleic acid manipulation and detection, requiring initial screening for high cleavage efficiency sites and subsequent identification of mismatch positions.
Preparation of Diosgenin-Functionalized Gold Nanoparticles: From Synthesis to Antitumor Activities
Authors: Stolarczyk Elżbieta U. , Strzempek Weronika , Muszyńska Magdalena , Kubiszewski Marek , Witkowska Anna B. , Trzcińska Kinga , Wojdasiewicz Piotr , Stolarczyk Krzysztof
Published: January 2025

Cancer ranks among the top causes of illness and death globally. Nanotechnology holds considerable promise for enhancing the effectiveness of therapeutic and diagnostic approaches in cancer treatment. Our study presents a promising strategy for applying thiocompound nanomedicine in cancer therapy. Our first study aimed to investigate the biological properties of a new compound thiodiosgenin (TDG)—a new derivative of diosgenin—a natural compound with known antioxidant and anticancer properties. Our current second study aimed to compare the therapeutic efficacy of a new diosgenin—functionalized gold nanoparticles—with its precursor on prostate cancer (DU-145) cell lines. Moreover, the safety of the new thio-derivative and new conjugates was tested against the human epithelial line PNT-2. New advanced analytical techniques were developed for the characterization of nanomaterials using methods such as SP-ICP-MS, UV-Vis, TEM, NMR, FT-IR ELS, and TGA. Our synthetic approach was based, on the one hand, on the ligand exchange of citrates to thiodiosgenin (TDG) on gold nanoparticles, and on the other hand, on the attachment of DG through an ester bond to the linker, which was 3-mercaptopropionic acid (MPA) on gold nanoparticles. Initial in vitro studies indicate that TDG shows greater cytotoxic effects on cancer cells but poses risks to normal prostate epithelial cells (PNT-2). It was demonstrated that all the conjugates produced exhibited significant cytotoxic effects against cancer cells while being less harmful to normal prostate epithelial cells (PNT-2) compared to TDG itself. All the obtained conjugates showed antitumor properties; however, for targeted transport, the system referred to as AuNPs-MPAm1-DG is promising, due to the size of the nanoparticles of 53 nm, zeta potential of -30 mV, and loading content of 27.6%. New methods for synthesizing conjugates with diosgenin were developed and optimized for medical applications. Advanced new analytical methodologies were developed to characterize new conjugates, particularly the use of SP-ICP-MS, to solve existing differences in the shape and morphology of the surface of new conjugates.
Monoclonal Antibodies in Metastatic Gastro-Esophageal Cancers: An Overview of the Latest Therapeutic Advances
Authors: Kalofonou Foteini , Kalofonou Melpomeni , Dimitrakopoulos Foteinos-Ioannis , Kalofonos Haralabos
Published: January 2025

Monoclonal antibodies (mAbs) have completely changed the face of oncology over the last 50 years, and they have contributed to a major breakthrough in terms of cancer therapy. Esophageal and gastric cancers, the eighth and fifth most commonly diagnosed types of cancer worldwide, respectively, have lately, been managed more effectively, with the introduction of new therapeutic treatment strategies, especially mAbs. Combination treatments and new molecules have changed the face of the disease, while more therapies are getting approved on a daily basis. This review aims to analyse the major up-to-date clinical trials using mAbs and immunotherapy for the treatment of advanced gastro-esophageal cancers.
Design, Synthesis, and Tribological Behavior of an Eco-Friendly Methylbenzotriazole-Amide Derivative
Authors: Yang Fan , Li Zenghui , Yang Hongmei , Zhao Yanan , Sun Xiuli , Tang Yong
Published: January 2025

Recently, researchers have been committed to boosting the environmental friendliness and functional performance of multifunctional additives. In this study, an eco-friendly methylbenzotriazole-amide derivative (MeBz-2-C18) was designed and synthesized, with ethylamine serving as the linkage between methylbenzotriazole and the oleoyl chain. The structure of MeBz-2-C18 was characterized by nuclear magnetic resonance (NMR), high-resolution mass spectrometry (HR-MS), Fourier-transform infrared spectroscopy (FT-IR), and thermogravimetric analysis (TGA). Subsequently, the storage stability and tribological behavior of MeBz-2-C18 and the commercial benzotriazole oleamide salt (T406) were comparatively evaluated. The covalently-bonded MeBz-2-C18 exhibits superior thermal stability, along with boosted storage stability and tribological performance in the synthetic base oil. Specifically, 0.5 wt.% addition of MeBz-2-C18 and T406 can reduce the average wear scar diameter (ave. WSD) by 21.6% and 13.9%, respectively. To further explore the micro-mechanism, the electrostatic potential (ESP) and worn surfaces were analyzed with scanning electron microscope-energy dispersive spectrometer (SEM–EDS), X-ray photoelectron spectroscopy (XPS), and density functional theory (DFT) calculations. The results show that MeBz-2-C18 possesses stronger adsorption on the metal surface, and its amide bond preferentially breaks during friction. This reduces the interfacial shear force and promotes the film formation of iron oxides, thus resulting in superior tribological performance.
Hierarchically Porous Titanosilicate Hollow Spheres Containing TS-1 Zeolite Precursors for Oxidative Desulfurization
Authors: Wang Yao , Yu Hongda , Wang Huan , Chen Tiehong
Published: January 2025

The environmental and health impacts of sulfur compounds in fuel oil have prompted considerable research interest in oxidative desulfurization (ODS) technology. Tetrahedrally coordinated titanium has been demonstrated to exhibit excellent activity in the context of oxidative desulfurization processes. However, further improving the catalytic property of the tetrahedrally coordinated titanium remains a challenging endeavor. In the context of ODS processes conducted at near room temperatures, the improvement of conversion remains a subject of considerable challenge. In this study, hierarchically porous titanosilicate hollow spheres were synthesized by using TS-1 zeolite precursors as Ti and Si sources to obtain the catalyst with only tetrahedrally coordinated titanium. The synthesized materials were characterized through transmission electron microscopy (TEM), Fourier-transform infrared spectroscopy (FT-IR), ultraviolet–visible diffuse reflectance spectroscopy (UV-Vis), and nitrogen adsorption analysis. These techniques confirmed the formation of hollow spherical hierarchically porous structures with Ti species uniformly incorporated in tetrahedral coordination and the presence of five-member rings of TS-1 zeolite. As a result, the hierarchically porous titanosilicate hollow spheres demonstrated excellent catalytic performance in ODS, achieving complete dibenzothiophene (DBT) removal within 15 min and a high turnover frequency (TOF) of up to 123 h−1 at 30 °C.
Evaluation of the Control Efficacy of Bt Maize Expressing Cry1Ab and Vip3Aa Proteins Against Agrotis ypsilon (Rottemberg)
Authors: Wang Wenhui , He Yuting , Yu Huan , Yang Xianming , Wu Kongming
Published: January 2025

Bt maize is the main means to control many lepidopteran pests in the world, but its control efficacy against Agrotis ypsilon (Rottemberg), an important insect pest of maize seedlings, remains unclear until now. The interaction between the insect and Bt transgenic maize events (DBN9936 (expressing Cry1Ab), DBN9501 (expressing Vip3Aa), and DBN3601T (expressing Cry1Ab and Vip3Aa)) was investigated using bioassay and insect behavioral tests. The results show that the Cry1Ab contents in different tissues of DBN9936 were 47.78–82.60 μg·g−1, and the Vip3Aa contents in DBN9501 were 15.29–27.78 μg·g−1. The contents of Cry1Ab and Vip3Aa in DBN3601T were 32.08–79.08 and 10.16–17.52 μg·g−1, respectively. There was no significant difference in total Bt protein content between the leaves and stems; however, that the content in both was significantly higher than that in the roots. The larvae were most sensitive to the Vip3Aa protein, and the corrected mortalities of larvae feeding on DBN9501 and DBN3601T were greater than 89.65% at the seedling stage, significantly higher than those feeding on DBN9936 (16.46–76.13%). The corrected mortalities of the third to the fifth instar larvae feeding on Bt maize root were as follows: DBN3601T (54.00–96.60%) > DBN9501 (24.67–70.88%) > DBN9936 (6.67–53.31%). The results of behavioral tests for Bt/non-Bt maize plant selection indicated that the larvae mainly fed on non-Bt maize while showing antifeedant behavior toward Bt maize, and the moth preferred to lay eggs on undamaged or slightly damaged Bt maize. It is concluded that DBN3601T maize has a strong control efficacy for A. ypsilon, which can play an important role in building an integrated pest management strategy for the insect.
Knockdown of FAS2 Impairs Fecundity by Inhibiting Lipid Accumulation and Increasing Glycogen Storage in Locusta migratoria
Authors: Xu Jiaying , Tang Ya , Jin Yi , Ma Tingting , Zhang Chen , Lou Jianan , Tang Bin , Wang Shigui
Published: January 2025

Fatty acid synthase (FAS) is a pivotal gene in the lipid synthesis pathway and plays a crucial role in insect energy metabolism. Locusta migratoria, as one of the major agricultural pests, requires identification of new targets to control or reduce its reproductive capacity for effective locust pest management strategies. In this study, we focused on L. migratoria and identified FAS2 as a potential target gene with functional significance in lipid metabolism and reproduction based on sequence characteristics analysis and tissue-expression patterns of five FAS genes. Subsequently, through RNA interference (RNAi) targeting FAS2 expression, we assessed alterations in lipid and carbohydrate metabolism-related gene expression levels, lipid and carbohydrate contents, ovarian development, and reproductive capacity using experimental techniques such as RT-qPCR, ELISA, and morphological observations. Our findings revealed that interference with FAS2 upregulated genes involved in lipid degradation, including Lsd-1, Lsd-2, Lipase3, and Brummer, while significantly decreasing the TAG content and fat accumulation. At the level of carbohydrate metabolism, FAS2 silencing led to significant upregulation of key genes TPS and GS in the synthesis pathway, resulting in increased glycogen and trehalose content. In addition, FAS2 interference resulted in a significant reduction of Vg mRNA expression level sand protein content in L. migratoria, followed by delayed ovarian development and reduced egg production. This further confirms that impaired FAS2 function prompts L. migratoria to enhance lipid degradation and sugar storage to maintain the energy balance, while reducing the energy investment into reproduction. Collectively, the results of this study suggest that FAS2 can serve as a novel molecular target for controlling L. migratoria.
Pregnancy-Related Cardiovascular Diseases: A Radiological Overview
Authors: Lauriero Francesco , Mazza Giulia , Perazzolo Alessio , Ottoni Giacomo , Cipriani Alessia , Castro Pereira José F. , Marano Riccardo , Natale Luigi
Published: January 2025

Pregnancy induces significant hemodynamic changes, and cardiovascular diseases (CVDs) are one of the leading causes of non-obstetric maternal morbidity and mortality during pregnancy or the postpartum period in developed countries. The effective diagnosis and management of CVDs in pregnant women require a thorough evaluation that considers the health of both the mother and the fetus. Imaging plays a pivotal role in this evaluation, offering essential insights into the most significant pregnancy-related CVDs. However, due to concerns about fetal exposure, the use of contrast agents and radiation exposure must be carefully managed. Following to the principle of “As Low As Reasonably Achievable” (ALARA), strategies to minimize these risks are crucial for ensuring patient safety while maintaining diagnostic accuracy. This review highlights the contribution of cardiovascular imaging techniques, particularly computed tomography (CT) and magnetic resonance imaging (MRI), in the assessment of common pregnancy-related CVDs, and outlines strategies to reduce radiation exposure and limit contrast agent use when feasible, aiming to increase radiologists’ awareness of this crucial topic.
Titanium Dioxide/Graphene Oxide Nanocomposite-Based Humidity Sensors with Improved Performance
Authors: Al-Hamry Ammar , Pašti Igor A. , Kanoun Olfa
Published: January 2025

Accurate relative humidity (RH) measurement is critical in many applications, from process control and material preservation to ensuring human comfort and well-being. This study presents high-performance humidity sensors based on titanium oxide nanoparticles/graphene oxide (TiO2/GO) composites, which demonstrate excellent sensing capabilities compared to pure GO-based sensors. The multilayer structure of the TiO2/GO composites enables the enhanced adsorption of water molecules and improved dynamic properties while providing dual-mode sensing capability through both resistive and capacitive measurements. Sensors with different TiO2/GO ratios were systematically investigated to optimize performance over different humidity ranges. The TiO2/GO sensor achieved remarkable sensitivity (8.66 × 104 Ω/%RH), a fast response time (0.61 s), and fast recovery (0.87 s) with minimal hysteresis (4.09%). In particular, the sensors demonstrated excellent mechanical stability, maintaining reliable performance under bending conditions, together with excellent cyclic stability and long-term durability. Temperature dependence studies showed consistent performance under controlled temperature conditions, with the potential for temperature-compensated measurements. These results highlight TiO2/GO nanocomposites as promising candidates for next-generation humidity sensing applications, offering enhanced sensitivity, mechanical flexibility, and operational stability. The dual-mode sensing capability combined with mechanical durability opens up new possibilities for flexible and wearable humidity-sensing devices.
Exploring Critical Eye-Tracking Metrics for Identifying Cognitive Strategies in Raven’s Advanced Progressive Matrices: A Data-Driven Perspective
Authors: Liu Yaohui , He Keren , Man Kaiwen , Zhan Peida
Published: January 2025

The present study utilized a recursive feature elimination approach in conjunction with a random forest algorithm to assess the efficacy of various features in predicting cognitive strategy usage in Raven’s Advanced Progressive Matrices. In addition to item response accuracy (RA) and response time (RT), five key eye-tracking metrics were examined: proportional time on matrix (PTM), latency to first toggle (LFT), rate of latency to first toggle (RLT), number of toggles (NOT), and rate of toggling (ROT). The results indicated that PTM, RLT, and LFT were the three most critical features, with PTM emerging as the most significant predictor of cognitive strategy usage, followed by RLT and LFT. Clustering analysis of these optimal features validated their utility in effectively distinguishing cognitive strategies. The study’s findings underscore the potential of specific eye-tracking metrics as objective indicators of cognitive processing while providing a data-driven method to identify strategies used in complex reasoning tasks.
The Cart-Pole Application as a Benchmark for Neuromorphic Computing
Authors: Plank James S. , Rizzo Charles P. , White Chris A. , Schuman Catherine D.
Published: January 2025

The cart-pole application is a well-known control application that is often used to illustrate reinforcement learning algorithms with conventional neural networks. An implementation of the application from OpenAI Gym is ubiquitous and popular. Spiking neural networks are the basis of brain-based, or neuromorphic computing. They are attractive, especially as agents for control applications, because of their very low size, weight and power requirements. We are motivated to help researchers in neuromorphic computing to be able to compare their work with common benchmarks, and in this paper we explore using the cart-pole application as a benchmark for spiking neural networks. We propose four parameter settings that scale the application in difficulty, in particular beyond the default parameter settings which do not pose a difficult test for AI agents. We propose achievement levels for AI agents that are trained with these settings. Next, we perform an experiment that employs the benchmark and its difficulty levels to evaluate the effectiveness of eight neuroprocessor settings on success with the application. Finally, we perform a detailed examination of eight example networks from this experiment, that achieve our goals on the difficulty levels, and comment on features that enable them to be successful. Our goal is to help researchers in neuromorphic computing to utilize the cart-pole application as an effective benchmark.
Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model
Authors: Li Guigeng , Wei Zhaoqiang , Chen Yujie , Meng Xiaoxia , Zhang Hao
Published: January 2025

Sea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification. To address the challenge of existing filter parameters being unable to adapt in real-time to the characteristics of sea clutter, this paper integrates ocean numerical models into the sea clutter spectrum estimation. By adjusting filter parameters based on the spectral characteristics of sea clutter, the accurate suppression of sea clutter is achieved. In this paper, the Weather Research and Forecasting (WRF) model is employed to simulate the ocean dynamic parameters within the radar detection area. Hydrological data are utilized to calibrate the parameterization scheme of the WRF model. Based on the simulated ocean dynamic parameters, empirical formulas are used to calculate the sea clutter spectrum. The filter coefficients are updated in real-time using the sea clutter spectral parameters, enabling precise suppression of sea clutter. The suppression algorithm is validated using X-band radar-measured sea clutter data, demonstrating an improvement factor of 17.22 after sea clutter suppression.
Mechanism-Based Fire Hazard Chain Risk Assessment for Roll-On/Roll-Off Passenger Vessels Transporting Electric Vehicles: A Fault Tree–Fuzzy Bayesian Network Approach
Authors: Jiang Xiaodan , Ren Wei , Xu Haibin , Zheng Shiyuan , Wu Shijie
Published: January 2025

Roll-on/Roll-off passenger vessels transporting electric vehicles (Ro-Ro EVs) face unique fire hazards, challenging traditional fire risk management strategies. This study integrates fault tree analysis (FTA) with Fuzzy Bayesian Network (FBN) to assess the fire risks of Ro-Ro EVs across the entire hazard chain. Given limited historical accident data, five experts familiar with the Shanghai Baoshan–Chongming ferry route refine fault tree models to visualize key fire hazard chain mechanisms and estimate risk probabilities. The FBN incorporates fault tree hierarchical structures, EV and Ro-Ro vessel-related risk factors, and applies a nine-level fuzzy scoring system to assess these risks. The FTA-FBN model offers a comprehensive framework for evaluating emerging fire risks specific to Ro-Ro EVs. Findings indicate that the highest risk occurs during the ignition phase. Primary triggers include external heat sources, improper vehicle securing, and vehicle collisions, leading to thermal runaway in lithium batteries. Failures in extinguishing and detecting lithium battery fires exacerbate fire spread. Effective fire compartmentalization and flammable material management are essential to prevent uncontrolled fires. Recommendations for fire prevention and control include shipboard battery level monitoring, charging restrictions, explosion-proof electrical installations, enhanced ventilation, lithium battery fire suppression systems, and vehicle securing.
Dual-CycleGANs with Dynamic Guidance for Robust Underwater Image Restoration
Authors: Lin Yu-Yang , Huang Wan-Jen , Yeh Chia-Hung
Published: January 2025

The field of underwater image processing has gained significant attention recently, offering great potential for enhanced exploration of underwater environments, including applications such as underwater terrain scanning and autonomous underwater vehicles. However, underwater images frequently face challenges such as light attenuation, color distortion, and noise introduced by artificial light sources. These degradations not only affect image quality but also hinder the effectiveness of related application tasks. To address these issues, this paper presents a novel deep network model for single under-water image restoration. Our model does not rely on paired training images and incorporates two cycle-consistent generative adversarial network (CycleGAN) structures, forming a dual-CycleGAN architecture. This enables the simultaneous conversion of an underwater image to its in-air (atmospheric) counterpart while learning a light field image to guide the underwater image towards its in-air version. Experimental results indicate that the proposed method provides superior (or at least comparable) image restoration performance, both in terms of quantitative measures and visual quality, when compared to existing state-of-the-art techniques. Our model significantly reduces computational complexity, resulting in a more efficient approach that maintains superior restoration capabilities, ensuring faster processing times and lower memory usage, making it highly suitable for real-world applications.
Performance Assessment of a Coupled Circulation–Wave Modelling System for the Northwest Atlantic
Authors: Hughes Colin J. , Sheng Jinyu , Perrie William , Liu Guoqiang
Published: January 2025

We present a modified version of a coupled circulation–wave modelling system for the northwest Atlantic (CWMS-NWA) by including additional physics associated with wave–current interactions. The latest modifications include a parameterization of Langmuir turbulence and surface flux of turbulent kinetic energy from wave breaking in vertical mixing. The performance of the modified version of CWMS-NWA during Hurricane Arthur in 2014 is assessed using in situ measurements and satellite data. Several error statistics are used to evaluate the model performance, including correlation (R), root mean square error (RMSE), normalized model variance of model errors (γ2) and relative bias (RB). It is found that the simulated surface waves (R ≈ 94.0%, RMSE ≈ 27.5 cm, γ2≈ 0.16) and surface elevations (R ≈ 97.3%, RMSE ≈ 24.0 cm, γ2≈ 0.07) are in a good agreement with observations. The large-scale circulation, hydrography and associated storm-induced changes in the upper ocean during Arthur are reproduced satisfactorily by the modified version of CWMS-NWA. Relative to satellite observations of the daily averaged sea surface temperature (SST), the model reproduces large-scale features as demonstrated by the error metrics: R ≈ 97.8%, RMSE ≈ 1.6 °C and RB ≈ 8.6 × 10−3°C.
Mid-Regional Pro-Adrenomedullin Is Associated with Adverse Cardiovascular Outcomes After Cardiac Surgery
Authors: Baumer Ulrike , Kazem Niema , Hammer Andreas , Hofer Felix , Steinacher Eva , Koller Lorenz , Zimpfer Daniel , Andreas Martin , Steinlechner Barbara , Hengstenberg Christian , Niessner Alexander , Sulzgruber Patrick
Published: January 2025

Background: In the era of personalized medicine, tools for risk stratification after cardiovascular interventions are crucial to reduce mortality and morbidity, especially in the aging population. Biomarker-based approaches, in particular, have gained significant importance. Mid-regional pro-adrenomedullin (MR-proADM) represents an easily assessable biomarker that mirrors cardiac function and fibrosis. Therefore, we aimed to investigate the prognostic potential of MR-proADM in patients undergoing elective cardiac surgery. Methods: Patients undergoing elective cardiac bypass and/or valve surgery were prospectively enrolled between May 2013 and August 2018. The primary endpoint was the composite of hospitalization for heart failure (HHF) or cardiovascular (CV) mortality. Results: In total, 500 patients (146 female [29.2%]; median age 69.8 years (IQR 60.6–75.5 years) were included. Individuals were stratified into risk categories based on their MR-proADM values (Low Risk ≤ 0.63 nmol/L, Intermediate Risk > 0.63 and ≤0.84, High Risk > 0.84). A significant increase in 5-year event rates for HHF/CV mortality in patients in the high-risk category (Low Risk 8.6% vs. High Risk 37.7%, p < 0.001) was observed. MR-pro ADM showed an independent association with HHF/ CV mortality (adjusted HR of 3.43, 95% CI 1.83–6.42; p < 0.001 comparing the High-Risk group to the Low-Risk group). Conclusions: MR-pro ADM was found to be a strong and independent predictor for HHF/CV mortality in patients undergoing elective cardiac surgery. Considering a personalized diagnostic and prognostic work-up, a standardized preoperative evaluation of MR-proADM levels might help to identify patients at risk for major adverse events and early re-hospitalization.
An Analysis of the Kinetic Energy in the Basket to Handstand on Parallel Bars: A Case Study of an Elite Gymnast
Authors: Veličković Saša , Đorđević Dušan , Veličković Petar , Možnik Marijo , Kolar Edvard , Stoica Cristina-Elena , Cristuță Alina-Mihaela , Voinea Nicolae-Lucian , Vulpe Ana-Maria , Bubanj Saša , Stanković Dušan , Bjelica Bojan , Aksović Nikola , Dobrescu Tatiana
Published: January 2025

(1) Background: This study aimed to examine the differences in the kinetic energy of the body’s center of mass between successful and unsuccessful attempts at transitioning from a basket to a handstand on the parallel bars. Special attention was given to the analysis of kinetic energy as a key factor in the efficient execution of this complex element. (2) Methods: The sample consisted of 10 successful and 10 unsuccessful attempts performed by an elite gymnast (a multiple-medalist in World and European Championships). All attempts and kinematic data were recorded and analyzed using high-frequency cameras (300 Hz) and the Ariel Performance 3D video system, respectively. Successful and unsuccessful performances were compared using a paired-sample t-test. (3) Results: Significant differences in kinetic energy were observed in the first part of the anti-gravitational phase of movement between successful and unsuccessful attempts. Successful attempts demonstrated a more favorable position at the beginning of this phase, allowing better utilization of accumulated kinetic energy—a higher position of the feet and hips, and a smaller shoulder joint angle at the moment the shoulder passed through the lower vertical. (4) Conclusions: Successful attempts in gymnastics are characterized by better biomechanical optimization and efficient kinetic energy use, achieved through an earlier entry into the second phase of movement with optimal body positioning, leading to greater peripheral and angular velocities crucial for performance.
Hemorrhoidal Disease in the Diabetic Population: The Effects of Glucose Regulation and Lipid Profile
Authors: Ciftel Enver , Ciftel Sedat , Ciftel Serpil , Mercantepe Filiz , Akdogan Remzi Adnan
Published: January 2025

Background: Hemorrhoidal disease is a common anorectal condition characterized by the enlargement and distal displacement of the typical vascular structures in the anal canal. The relationship between DM, lipid metabolism, and hemorrhoidal disease remains underexplored. This study aims to investigate the prevalence of hemorrhoids and the association between glycemic control and lipid profile in diabetic patients. Methods: This retrospective cross-sectional study included 752 patients who underwent colonoscopy at Erzurum Regional Training and Research Hospital between June 2021 and August 2024. The study population comprised 452 patients with type 2 diabetes mellitus (mean age 63.4 ± 11.0) and 300 nondiabetic patients (mean age 62.8 ± 10.8). The presence of hemorrhoids was confirmed through colonoscopy. Glycemic control parameters, lipid profile, and other biochemical parameters were analyzed. Results: Hemorrhoids were found in 47.3% (n = 214) of diabetic patients and 17.3% (n = 52) of nondiabetic patients, indicating a significantly higher prevalence in the diabetic group (OR = 4.3, CI = 3.0–6.2, p < 0.001). Diabetic patients with hemorrhoids had significantly higher mean HbA1C (8.1 ± 2.1 vs. 7.5 ± 1.8, p < 0.001), low-density lipoprotein (p < 0.001), and triglyceride levels (p = 0.005) compared to those without hemorrhoids. Additionally, a longer duration of diabetes and higher hypertension prevalence were observed in the hemorrhoid group. Conclusions: The findings suggest that poor glycemic control and dyslipidemia are significantly associated with an increased prevalence of hemorrhoids in diabetic patients. These results highlight the importance of comprehensive management of diabetes, including lipid control, to potentially reduce the risk of hemorrhoidal disease.
Evidence of the Amino Acids Tyrosine and Phenylalanine in the Interstellar Material of IC348 in Perseus
Authors: Iglesias-Groth Susana , Marín Dobrincic Martina , Pérez Garrido Antonio , Gutierrez Carlos
Published: January 2025

We employed data from the Spitzer Space Telescope to investigate the presence of the aromatic amino acids tyrosine and phenylalanine in the interstellar gas of the young star cluster IC 348. Our analysis revealed emission lines in the observed spectrum that closely matched the strongest mid-infrared laboratory bands associated with tyrosine and phenylalanine in terms of wavelength and intensity. Through flux measurements, we estimated column densities along the line of sight toward the core of IC 348, ranging from 0.8–1.0 × 1011 cm−2. Additionally, these emission lines were evident in the combined spectra of more than 30 interstellar locations spanning various unrelated star-forming regions observed by Spitzer, indicating a widespread distribution of the molecules responsible for the emission throughout interstellar space. Prospective endeavors employing high spectral resolution mid-infrared searches for proteinogenic amino acids in protostars, protoplanetary disks, and the interstellar medium will play a pivotal role in elucidating the external origins of meteoritic amino acids and understanding the prebiotic conditions that laid the groundwork for life on early Earth.
Could Sleep Be an Antidote to Optic Disc Edema in Astronauts?
Authors: Wostyn Peter , Nedergaard Maiken
Published: January 2025

A spectrum of neuro-ocular changes has been observed in astronauts during and after prolonged exposure to microgravity on long-duration spaceflights. These changes, collectively referred to as “spaceflight associated neuro-ocular syndrome” (SANS), pose a significant challenge for space agencies as they prepare for future human missions, including a return to the Moon and manned missions to Mars. Optic disc edema, a hallmark feature of SANS, occurs in approximately 70% of astronauts on extended missions. Recent evidence suggests a potential link between poor sleep and the development of optic disc edema in individuals exposed to a spaceflight analog environment, providing critical insights into its underlying pathophysiology. Here, we propose a novel hypothesis: sleep deprivation may increase the risk of microgravity-induced optic disc edema by altering translaminar pressure dynamics and disrupting ocular glymphatic outflow. This perspective offers a new framework for understanding SANS and highlights potential targets to mitigate its risks in the context of human space exploration.
Dairy Wastewaters to Promote Mixotrophic Metabolism in Limnospira (Spirulina) platensis: Effect on Biomass Composition, Phycocyanin Content, and Fatty Acid Methyl Ester Profile
Authors: Baraldi Luca , Usai Luca , Torre Serenella , Fais Giacomo , Casula Mattia , Dessi Debora , Nieri Paola , Concas Alessandro , Lutzu Giovanni Antonio
Published: January 2025

This study explores the mixotrophic cultivation of Limnospira platensis using dairy byproducts, specifically scotta whey (SW), buttermilk wastewater (BMW), and dairy wastewater (DWW), to promote biomass production and enhance the composition of bioactive compounds. By assessing various concentrations (1%, 2%, and 4% v v−1) of these byproducts in a modified growth medium, this study aims to evaluate their effect on L. platensis growth, phycocyanin (C-PC) content, and fatty acid methyl ester (FAME) profiles. The results show that the optimal biomass production was achieved with 2% scotta and dairy wastewater, reaching maximum concentrations of 3.30 g L−1 and 3.19 g L−1, respectively. Mixotrophic cultivation led to increased C-PC yields, especially in buttermilk and dairy wastewater treatments, highlighting the potential for producing valuable pigments. Additionally, the FAME profiles indicated minimal changes compared to the control, with oleic and γ-linolenic acids being dominant in mixotrophic conditions. These findings support the viability of utilizing dairy byproducts for sustainable L. platensis cultivation, contributing to a circular bioeconomy while producing bioactive compounds of nutritional and commercial interest.
Targeted Minimum Quantity Fluid Application in Machining
Authors: Rakurty Chandra Sekhar , Varela Patricio Ivan , Balaji Alagar Krishnan
Published: January 2025

The surface integrity of a machined component is crucial for its service life part. One of the main final specifications that a machined part is inspected for is the surface integrity metrics, including surface residual stresses, surface microhardness, surface roughness, and microstructure. In this paper, the cutting fluid is strategically targeted to utilize heat energy effectively in the primary, secondary, and tertiary shear zones to positively affect the surface integrity metrics and machining mechanics. In this study, a lower quantity of the cutting fluids is targeted at the high-temperature zones to reduce the machining temperatures, thereby effectively simulating the effect of a ‘flood coolant’. The cutting fluid is applied simultaneously as a targeted Minimum Quantity Fluid (MQF) on the cutting tool’s flank and rake faces to improve the surface integrity metrics and chip formation. Also, this study analyzes the effect of the cutting fluid composition, the type of cutting fluid, and the amount of fluid quantities. The machining-induced surface integrity metrics are analyzed to understand the effects of targeted minimum quantity fluid application. The impact of the targeted application of cutting fluid on machining mechanics metrics, such as cutting forces and chip formation, is analyzed. Applying a targeted MQF application at the flank face of the cutting tool leads to higher compressive subsurface principal residual stresses. The results indicate that using MQF on both the flank and rake faces simultaneously enhances the surface integrity. The effect of a cutting fluid jet on the flank face is modeled to highlight the thermophysical properties that are crucial for selecting the appropriate cutting fluid to lower the machining-induced temperatures. With targeted MQF application, the fluid jet acts as a dynamic and external chip control mechanism. Overall, effectively managing temperatures in machining could enhance subsurface residual stresses and surface roughness using various cutting fluid combinations. Also, this paper presents a targeted cutting fluid application that improves the microstructural formation, enhancing chip control and producing machined surfaces and components with better surface integrity.
Dynamic Responses and Crack Propagation of Rock with Crossed Viscoelastic Joints Under Blasting Loads
Authors: Li Chengyang , Jiang Dongju , Zhao Jinhai , Zhang Tuo , Kuang Renfei
Published: January 2025

To investigate the propagation of stress waves in viscoelastic joints under blasting loads, and their impact on crack propagation and dynamic response in rock masses, a numerical model incorporating intersecting viscoelastic joints was developed using LS-DYNA. This study focuses on the influence of various joint geometric parameters, including thickness and angle, on stress wave propagation and damage patterns in rock. The Riedel–Hiermaier–Thoma (RHT) model was employed to simulate the dynamic behavior of rock, while the Poynting–Thomson model was used to describe the viscoelastic properties of the joint fillings. The simulation results provide detailed insights into the principal stress, displacement, and particle vibration velocity around the joints. Based on the stress wave propagation theory, the velocity transmission coefficients were calculated to quantify the attenuation of stress waves across the joints. The findings demonstrate that viscoelastic joint properties significantly affect the damage patterns in the rock mass. Specifically, the area of the crushed zone and the width of cracks on the blasting side are proportional to joint thickness, while crack propagation at the joint tips is governed by differences in principal stress. Moreover, the propagation of vibration velocity is notably weakened at the second joint, highlighting the critical role played by joint characteristics in stress wave dynamics. These results underscore the complex interaction between joint properties and stress wave behavior in rock masses, providing valuable insights for optimizing blasting designs and improving the safety of underground engineering projects.
Evaluation of Polymethyl Methacrylate as a Provisional Material in a Fully Digital Workflow for Immediate-Load Complete-Arch Implant-Supported Prostheses over Three Months
Authors: Garza Luis Carlos , Crooke Eduardo , Vallés Marta , Soliva Joan , Rodríguez Xavier , Rodeja Mariona , Roig Miguel
Published: January 2025

While complete-arch digital-implant-scanning protocols have been described, their clinical outcomes when using polymethyl methacrylate (PMMA) as a provisional material remain insufficiently substantiated. This clinical study aims to integrate digital solutions into implant dentistry and establish PMMA as a reliable material for immediate-loaded protocols. Fifty-six patients received 432 implants and 72 immediate fixed interim complete-arch prostheses, all fabricated using a fully digital workflow. Patients were followed up at 3 months to evaluate implant survival, prosthesis survival, and implant mean marginal bone loss using an interim PMMA prosthesis. Patients completed the Oral Health Impact Profile (OHIP) questionnaire to determine the implants’ impact on quality of life. Statistical analyses included analysis of variance, Fisher’s least significant difference (LSD) test, and the Wilcoxon signed-rank test. Of the 432 implants placed, only two failures were observed. Marginal bone loss (MBL) was significantly greater in male patients (p = 0.002) and older smokers (p = 0.016). Patient-reported outcomes, as measured by the OHIP questionnaire, demonstrated significant improvements in quality of life. PMMA is a reliable material for immediate-loading protocols in fixed interim complete-arch implant prostheses. Its combination of mechanical strength, biocompatibility, and esthetic properties, along with the accuracy of fully digital workflows, ensures predictable clinical outcomes.
Probing Non-Equilibrium Pair-Breaking and Quasiparticle Dynamics in Nb Superconducting Resonators Under Magnetic Fields
Authors: Park Joong-Mok , Chong Zhi Xiang , Kim Richard H. J. , Haeuser Samuel , Chan Randy , Murthy Akshay A. , Kopas Cameron J. , Marshall Jayss , Setiawan Daniel , Lachman Ella , Mutus Joshua Y. , Yadavalli Kameshwar , Grassellino Anna , Romanenko Alex , Wang Jigang
Published: January 2025

We conducted a comprehensive study of the non-equilibrium dynamics of Cooper pair breaking, quasiparticle (QP) generation, and relaxation in niobium (Nb) cut from superconducting radio-frequency (SRF) cavities, as well as various Nb resonator films from transmon qubits. Using ultrafast pump–probe spectroscopy, we were able to isolate the superconducting coherence and pair-breaking responses. Our results reveal both similarities and notable differences in the temperature- and magnetic-field-dependent dynamics of the SRF cavity and thin-film resonator samples. Moreover, femtosecond-resolved QP generation and relaxation under an applied magnetic field reveals a clear correlation between non-equilibrium QPs and the quality factor of resonators fabricated by using different deposition methods, such as DC sputtering and high-power impulse magnetron sputtering. These findings highlight the pivotal influence of fabrication techniques on the coherence and performance of Nb-based quantum devices, which are vital for applications in superconducting qubits and high-energy superconducting radio-frequency applications.
The Impact of the Yeoh Model’s Variability in Contact on Knee Joint Mechanics
Authors: Mazurkiewicz Łukasz Andrzej , Ciszkiewicz Adam , Małachowski Jerzy
Published: January 2025

The aim of this study was to assess the impact of the variability of the Yeoh model when modeling the contact of bones through cartilage in the knee in compression and flexion–extension within a hybrid knee model. Firstly, a Sobol sequence of 64 samples and four variables representing the Yeoh parameters of the cartilage of the femur and tibia was generated. Based on these samples, 2 × 64 finite element contact models of the geometry of the sphere plane were generated and solved for healthy tissue affected by osteoarthritis. The resulting indentation curves were incorporated into a multibody knee joint model. The obtained results suggested that cartilage variability severely affected the knee in compression by up to 32%. However, the same variability also affected the flexion–extension motion, although to a lesser extent, with a relative change to the range of angular displacements of almost 7%. Osteoarthritic tissue was consistently more affected by this variability, suggesting that when modeling degenerated tissue, complex joint models are necessary.
Microstructural Evolution and Mechanical Properties of Cu–Ag Alloy via Different Severe Plastic Deformation Processes
Authors: Li Haifeng , Xie Haofeng , Zhao Yizhi , Zhang Wenjing , Huang Lue , Yuan Yi , Chu Hao , Mi Xujun
Published: January 2025

The field of artificial intelligence and integrated circuits is experiencing rapid development, particularly in the area of highly integrated and miniaturized components, in which Cu-Ag alloys, as a typical lead frame material, play a crucial role. However, current research is primarily focused on low Ag content alloys, and there are few studies on the regulation of the microstructure and mechanical properties of high Ag content Cu-Ag alloys. This limitation hindered the development and utilization of the high Ag content Cu-Ag alloys. In this study, the microstructure and mechanical properties of Cu-28Ag (wt. %) alloy after room temperature and cryogenic rolling were investigated. It was demonstrated that the cryogenic rolling yielded better surface quality, an enhanced dendrite refinement effect, and a more distinct layer structure compared to room temperature rolling. The conductivity of the alloy decreased after cryogenic rolling due to increased electron scattering within the Cu matrix. The tensile strength improved, but the elongation decreased. Specifically, at a deformation amount of 95%, the alloy exhibited an ultimate tensile strength, yield strength, and elongation of 640 MPa, 631 MPa, and 1.9%, respectively. This strengthening was mainly attributed to the refinement of grains, the presence of dislocations, and precipitation. Furthermore, the samples subjected to liquid nitrogen rolling at a deformation amount of 95% exhibited improved homogeneous deformation capacity, which was attributed to grain size refinement, uniform distribution of high-density dislocations, deformation structure, and heterogeneity-induced deformation enhancement.
Experimental Evidence on the Possible Use of Fine Concrete and Brick Recycled Aggregates for 3D Printed Cement-Based Mixtures
Authors: Pepe Marco , Lombardi Rosario , Lima Carmine , Paolillo Bruno , Martinelli Enzo
Published: January 2025

In recent years, the development of alternative and more sustainable technologies for reinforced concrete structures has been attracting more and more interest, given the increasing need to reduce the impact that the construction sector has on the environment. Furthermore, 3D concrete printing (3DCP) technology falls into this context, allowing the optimization of the quantities of employed raw material to be used while at the same time allowing the possibility to design more complex elements’ shapes. In the view of improving the sustainability of construction sector, the present study aims at experimentally investigating the characteristics of the fresh and hardened states of concrete mixtures incorporating different percentages of replacement of the fine aggregate with recycled aggregates of different nature. As such, the key innovative aspect of the present study is the possible investigation of cement-based mixtures produced with 100% recycled fine aggregates (both derived from concrete waste and brick elements) without affecting either the fresh or hardened mechanical properties of the resulting Recycled Aggregate Concrete (RAC) mixtures. Furthermore, in order to make this study linked to 3D printing technology, extruded concrete elements were realized and tested through a process designed to simulate the automated 3D concrete printing process: in fact, the RAC mixtures were designed in order to obtain an adequate workability and compressive strength typically adopted for ordinary 3D printed mixtures. Although some adjustments and further analyses are required in order to optimize the shape retention and stability, as well as the well-known problem of the 3D mixtures being linked to anisotropic behavior, the obtained results unveil that it was possible to observe promising characteristics for the mixes containing recycled aggregates (i.e., consistency index at the fresh state above 150 mm and compressive strength at 28 days above 50 MPa), which were in any case suitable for the creation of 3D printed structural concrete elements and can be further confirmed with future studies in order to validate their possible buildability.