bluuebunny/crossref_metadata_2025 huggingface dataset:
Copycat in Suicide: A Systematic Review of the Literature
Authors: Gualtieri Saverio , Verrina Maria Cristina , Sacco Matteo Antonio , Tarda Lucia , Calanna Luca , Calafiore Jasmine , Lombardo Stefano , Gratteri Santo , Aquila Isabella
Published: November 2024

Background: The “copycat effect” is a psychological phenomenon in which a person’s actions influence the behavior of others, leading to imitations of behaviors, events, or ideas. It is often observed in contexts such as crimes, suicides, or violent behaviors, where media coverage of an event can trigger similar reactions in other people. Usually, many studies associate the copycat phenomenon with homicide or serial crimes. Little attention is paid to the phenomenon of emulation in suicide and, therefore, to the copycat phenomenon in this context. Methods: In our study, a systematic review of the literature was carried out using keywords related to copycat and suicide. Subsequently, each study was read and analyzed. Results: The results were compared with each other and demonstrated how it is essential to mitigate the resonance of suicidal events, especially through the media and social networks. In particular, this risk of emulation is greater among young people who are exposed to a continuous external source of information through news from the web in an incessant and constant way. This risk increases most immediately after the publicity of the suicidal event in a limited period of time. Conclusions: Unfortunately, little attention is given to the analysis of the copycat phenomenon, which causes an underestimation of the data related to suicide emulation, especially from the preventive perspective of a phenomenon that is still widespread.
Use of Cabbage Leaf Inverted Flap Technique in the Management of a Stage IV Full-Thickness Macular Hole
Authors: Hartung Kristina J. , Drnovšek Fran , Lumi Xhevat
Published: November 2024

Background: The purpose of this study was to evaluate the anatomical and visual outcomes of patients with stage IV full-thickness macular holes (FTMHs) treated by the cabbage leaf inverted internal limiting membrane (ILM) flap technique. Methods: We conducted a retrospective study, enrolling patients with stage IV FTMH operated by a single surgeon. Six patients with FTMH and no other known ocular comorbidities were included in the study. Results: Four patients (66.6%) were female, two were male. The median age was 71. The average duration of symptoms before surgery was 10.5 months (6–24 months). The mean preoperative minimum hole diameter was 480 μm (337–602), and the mean basal hole size was 1208 μm (703–1748). The mean preoperative BCVA was 0.63 LogMAR. Postoperatively, the BCVA improved in 5 (83.3%) patients and remained the same in 1 (16.7%). The mean postoperative BCVA was 0.42 LogMAR (0.0–0.70). The FTMH has closed in all cases (100%). At the follow-up examination three months after the surgery, we observed complete closure of the FTMH with the restoration of retinal layers. Conclusions: This approach resulted in a complete closure of FTMH with significant visual acuity improvement. The technique could represent the surgical procedure of choice in the management of stage IV FTMH.
Accuracy of the Standard and Distal-to-Proximal Sequence of the Upper Limb Neurodynamic Test 1 for the Diagnosis of Carpal Tunnel Syndrome: The Role of Side-to-Side Comparisons
Authors: Ciuffreda Gianluca , Bueno-Gracia Elena , Argüello-Espinosa María Irache , Shacklock Michael , Navarrete-Navarro Sonia , Vicente-Garza Inés , Rodríguez-Mena Diego , Estébanez-de-Miguel Elena
Published: November 2024

Background/Objective: This study aimed to evaluate the diagnostic accuracy of two upper limb neurodynamic test 1 (ULNT1) sequences for detecting carpal tunnel syndrome (CTS) in patients with unilateral symptoms. The standard sequence (ULNT1-STD) and a distal-to-proximal sequence (ULNT1-DIST) were investigated. A local-initiated sequence may facilitate symptoms reproduction in CTS, and comparing the affected side with the unaffected side could improve the detection of altered median nerve mechanosensitivity when symptoms are not directly reproduced. Methods: A total of 134 consecutive patients with clinically suspected unilateral CTS were recruited. Nerve conduction studies were used as a reference test. Results: When considering only symptom reproduction as the criterion for a positive test, ULNT1-STD showed a sensitivity of 0.398 and a specificity of 0.780 (positive likelihood ratio [+LR]: 1.81; negative likelihood ratio [−LR]: 0.77); whereas ULNT1-DIST demonstrated a sensitivity of 0.548 with a specificity of 0.732 (+LR: 2.04; −LR: 0.62). When a positive test was defined by symptom reproduction or inter-limb asymmetry (in range of motion or sensory response), ULNT1-STD showed an improved sensitivity of 0.613 but a reduced specificity of 0.537 (+LR: 1.32; −LR: 0.72). In comparison, ULNT1-DIST increased its sensitivity to 0.871 with a specificity of 0.683 (+LR: 2.75; −LR: 0.19). Conclusions: ULNT1-DIST offers better diagnostic accuracy for CTS compared to the ULNT1-STD sequence, especially when interlimb asymmetries in range of motion or sensory response are considered. However, side-to-side comparisons have reduced utility in cases with bilateral symptoms, limiting their application in clinical practice.
Whole Gut Motility Patterns in Patients with Chronic Nausea and Vomiting
Authors: Klinge Mette W. , Haase Anne Mette , Rolighed Nanna Sutter , Krogh Klaus , Scott Mark , Schlageter Vincent , Mark Esben Bolvig , Nandhra Gursharan Kaur , Drewes Asbjørn Mohr , Loedrup Anders Bergh
Published: November 2024

Background/Objectives: Chronic nausea and vomiting (N/V) disorders are common in clinical practice. Our primary aim was to compare total and segmental gastrointestinal transit times as well as gastric contraction patterns in patients with chronic N/V syndrome to those of healthy volunteers (HVs). In the patient group, our secondary aim was to explore how symptoms and motility patterns were affected by a serotonin HT4 receptor agonist (Prucalopride). Methods: Patients with chronic N/V syndrome and HVs underwent baseline assessment of regional gastrointestinal (GI) motility/transit using the Motilis 3D-Transit system. Patients were then treated with Prucalopride 2 mg daily for 28 days, with the 3D-transit examination repeated within 10–20 days after treatment onset. Two self-administered questionnaires (the Gastrointestinal Symptom Rating Scale [GSRS] and Gastroparesis Cardinal Symptom Index [GCSI]) were used to assess patients’ symptoms. Results: A total of 19 patients (13 F; median age 25 years (IQR 22–39) and 55 HVs (25 F; median age 28 (24–35) were included. At baseline, no differences in regional GI transit times were found between groups. However, patients had a significantly lower gastric contraction amplitude than HVs (9 mmHg (IQR 8–11) vs. 12 (10–15: p < 0.001). In response to Prucalopride treatment, gastric emptying time was reduced from a median of 3.1 h to 1.6 h (p < 0.005). Further, the GCSI was significantly reduced from GCSI 3.0 (IQR 2.3–3.7) at baseline to GCSI 1.9 (IQR 1.3–3.2) with Prucalopride. Conclusions: Patients with chronic N/V syndrome have significantly lower gastric contraction amplitude than HVs and may symptomatically benefit from prokinetics. They do not, however, have evidence of panenteric dysmotility.
The Glasgow Benefit Inventory—Assessment of Patients Who Underwent Laser-Assisted Dacryocystorhinostomy (LDCR)
Authors: Różycki Radosław , Ulaszewska Katarzyna , Skrzypiec Łukasz
Published: November 2024

Background/Objectives: Disruptions in lacrimal function can lead to various conditions, including chronic nasolacrimal duct obstruction and dacryocystitis, which may cause symptoms like excessive tearing, pain, and recurrent infections. In cases where pharmacological treatments are insufficient, surgical intervention becomes essential, which is widely used to restore effective tear drainage. Methods: This study evaluated postoperative outcomes of laser-assisted dacryocystorhinostomy (LDCR) in 48 patients, totaling 56 treated eyes, over a follow-up period of 6 months to 3.5 years. During the follow-up examination, patients completed the Glasgow Benefit Inventory questionnaire. Results: The outcomes demonstrated significant improvements, particularly in the GBI total score (+35.07) and general subscale (+44.36), with minimal effects on social support and physical health subscales. Conclusions: LDCR proves to be an effective, minimally invasive alternative to traditional dacryocystorhinostomy, offering significant patient satisfaction, faster recovery, and reduced complications in treating nasolacrimal duct obstruction.
Role of Proteins in Oncology: Advances in Cancer Diagnosis, Prognosis, and Targeted Therapy—A Narrative Review
Authors: Kędzierska Magdalena , Bańkosz Magdalena
Published: November 2024

Modern oncology increasingly relies on the role of proteins as key components in cancer diagnosis, prognosis, and targeted therapy. This review examines advancements in protein biomarkers across several cancer types, including breast cancer, lung cancer, ovarian cancer, and hepatocellular carcinoma. These biomarkers have proven critical for early detection, treatment response monitoring, and tailoring personalized therapeutic strategies. The article highlights the utility of targeted therapies, such as tyrosine kinase inhibitors and monoclonal antibodies, in improving treatment efficacy while minimizing systemic toxicity. Despite these advancements, challenges like tumor resistance, variability in protein expression, and diagnostic heterogeneity persist, complicating universal application. The review underscores future directions, including the integration of artificial intelligence, advanced protein analysis technologies, and the development of combination therapies to overcome these barriers and refine personalized cancer treatment.
Accurate Closed-Form Solutions for the Free Vibration and Supersonic Flutter of Laminated Circular Cylindrical Shells
Authors: Pan Dezhuang , Xing Yufeng
Published: November 2024

According to the Donnell–Mushtari shell theory, this work presents a closed-form solution procedure for free vibration of open laminated circular cylindrical shells with arbitrary homogeneous boundary conditions (BCs). The governing differential equations of free vibration are derived from the Rayleigh quotient and solved by the iterative separation-of-variable (iSOV) method. In addition, considering axial aerodynamic pressure, simulated by the linear piston theory, the exact eigensolutions for the flutter of open laminated cylindrical shells with simply supported circumferential edges and closed laminated cylindrical shells are also achieved. The governing differential equations of cylindrical shell flutter are derived from the Hamilton variational principle and solved by the separation-of-variable (SOV) method. The influence of circumferential dimension on flutter speed is investigated for open cylindrical shells, which reveals that the number of circumferential waves in critical flutter mode increases with circumferential length, and there exists an infimum for flutter speed that is an invariant independent of circumferential length. The present results agree well with those obtained by the Galerkin method, the finite element method, and other analytical methods.
Transformer Dil-DenseUnet: An Advanced Architecture for Stroke Segmentation
Authors: Jazzar Nesrine , Mabrouk Besma , Douik Ali
Published: November 2024

We propose a novel architecture, Transformer Dil-DenseUNet, designed to address the challenges of accurately segmenting stroke lesions in MRI images. Precise segmentation is essential for diagnosing and treating stroke patients, as it provides critical spatial insights into the affected brain regions and the extent of damage. Traditional manual segmentation is labor-intensive and error-prone, highlighting the need for automated solutions. Our Transformer Dil-DenseUNet combines DenseNet, dilated convolutions, and Transformer blocks, each contributing unique strengths to enhance segmentation accuracy. The DenseNet component captures fine-grained details and global features by leveraging dense connections, improving both precision and feature reuse. The dilated convolutional blocks, placed before each DenseNet module, expand the receptive field, capturing broader contextual information essential for accurate segmentation. Additionally, the Transformer blocks within our architecture address CNN limitations in capturing long-range dependencies by modeling complex spatial relationships through multi-head self-attention mechanisms. We assess our model’s performance on the Ischemic Stroke Lesion Segmentation Challenge 2015 (SISS 2015) and ISLES 2022 datasets. In the testing phase, the model achieves a Dice coefficient of 0.80 ± 0.30 on SISS 2015 and 0.81 ± 0.33 on ISLES 2022, surpassing the current state-of-the-art results on these datasets.
Array Optimization for a Wave Energy Converter with Adaptive Resonance Using Dual Bayesian Optimization
Authors: Meduri Aghamarshana , Kang HeonYong
Published: November 2024

A novel Dual Bayesian optimization strategy is formed for an array of wave energy converters with adaptive resonance to maximize the annual performance through the energy conversion processes from irregular waves to electricity. A wave energy converter with adaptive resonance changes the natural frequency of power take-off dynamics for varying irregular waves, resulting in the maximum annual energy production. The first step of the two-step Dual Bayesian optimization determines the geometric layout of the array, which maximizes the first energy conversion to the total array excitation for irregular waves occurring annually. The second step optimizes the operational parameters of individual wave energy converters in the optimized array to maximize the power generation in varying sea states through simultaneous conversion to mechanical and electrical energy. The coupled hydrodynamics are solved in the frequency domain, and the power performance is evaluated by solving the Cummins’ equation in the time domain extended for multiple floating bodies, each strongly coupled with nonlinear power take-off dynamics. The proposed method is applied to a surface-riding wave energy converter, already optimized for single unit operation at individual sea states. Investigating two array layouts, linear and random, the optimized arrays after Step 1 increase the excitation spectral area by up to 40% relative to the single unit operation, indicating the synergy enhancing the first energy conversion. Subsequently, the dual-optimized linear layout attained a q-factor up to 1.13 in commonly occurring sea states, achieving improved average power generation in 60% of the evaluated sea states. The performance of the random layout exhibited the average power fluctuating along the wave spectra with a peak q-factor of 1.07. The individual adaptive resonance is confirmed in the optimized arrays, such that each surface-riding wave energy converter of both layouts adaptively resonates with the peak of the wave excitation spectra, maximizing the power generation for the different irregular waves.
Influence of Tropical Cyclones and Cold Waves on the Eastern Guangdong Coastal Hydrodynamics: Processes and Mechanisms
Authors: Zhong Yichong , Luo Fusheng , Li Yunhai , Lin Yunpeng , He Jia , Lin Yuting , Shu Fangfang , Zheng Binxin
Published: November 2024

In response to the intensification of global warming, extreme weather events, such as tropical cyclones (TCs) and cold waves (CWs) have become increasingly frequent near the eastern Guangdong coast, significantly affecting the structure and material transport of coastal waters. Based on nearshore-measured and remote sensing reanalysis data in the winter of 2011 and summer of 2012 on the eastern Guangdong coast, this study analyzed the nearshore hydrodynamic evolution process, influencing mechanism, and marine environmental effects under the influence of TCs and CWs, and further compared the similarities and differences between the two events. The results revealed significant seasonal variations in the hydrological and meteorological elements of the coastal waters, which were disrupted by the passage of TCs and CWs. The primary influencing factors were TC track and CW intensity. The current structure changed significantly during the TCs and CWs, with the TC destroying the original upwelling current and the CW affecting the prevailing northeastward current. Wind is one of the major forces driving nearshore hydrodynamic processes. According to the synchronous analysis of research data, the TC-induced water level rise is primarily attributed to the combined effects of wind stress curl and the Ekman effect, whereas the water level rise associated with CW is primarily linked to the Ekman effect. The water transport patterns during the TC and CW differed, with transport concentrated on the right side of the TC track and within the coastal strong-wind zones, respectively. Additionally, the temporal frequency domain of wavelet analysis highlighted the distinct nature of TC and CW signals, with 1–3 d and 4–8 d, respectively, and with TC signals being short-lived and rapid compared to the more sustained CW signals. This study enhances our understanding of the response of coastal hydrodynamics to extreme weather events on the eastern Guangdong coast, and the results can provide references for disaster management and protection of nearshore ocean engineering under extreme events.
Shore-Side Downfall Pressures Due to Waves Impacting a Vertical Seawall: An Experimental Study
Authors: Baines Annelie , Cunningham Lee S. , Rogers Benedict D.
Published: November 2024

As part of an investigation into downfall impacts from violent overtopping waves, experimental data are presented for the impact pressures and forces generated by regular and focused waves breaking onto a vertical wall and impacting a landward horizontal deck at a scale of 1:38. Particular attention is given to the wave-by-wave uprush and impact downfall events. By selecting regular and focused wave conditions that produce impacts, new trends are identified for violent downfall phenomena that could easily be underestimated in current practice. The characteristics of the downfall impacts are investigated and three different types of downfall impact are identified and discussed. Using a Wavelet Filter to denoise the signal from pressure probes without losing the peak impact pressures or introducing a phase shift, the distinctive features and dynamic behaviours of the white-water impacts are considered, and it is shown that downfall pressure magnitudes of 30–40 ρgH are regularly achieved. Dynamic impulse times of the events are also presented with higher-impact events generally relating to shorter impulse times, highlighting the dynamic character of these impacts. The largest downfall pressures are found to occur further from the vertical wall than previously measured. Importantly, the spray travelling furthest from the point of the initial wave impact on the vertical wall causes some of the largest downfall pressures on the deck. The paper concludes that, while the dataset is small, there are strong indications that the effects of these types of impacts are structurally significant and present a risk to infrastructure located landward of seawalls.
Clinical Impact of Admission Day on Outcomes in Acutely Decompensated Aortic Stenosis: A Nationwide Analysis
Authors: Bansal Nahush , Kwak Eun Seo , Alqadi Mohammad , Qiu Shuhao , Assaly Ragheb
Published: November 2024

Background/Objectives: Aortic stenosis (AS) is a critical valvular heart disease associated with significant morbidity and mortality if not managed promptly. Previous studies have highlighted the “weekend effect”, where the day of admission impacts outcomes in various cardiac conditions. This study evaluates the impact of weekend versus weekday admissions on outcomes in patients admitted with acutely decompensated aortic stenosis. Methods: We conducted a retrospective cohort study using the National Inpatient Sample database, focusing on patients emergently admitted with decompensated aortic stenosis. Patient outcomes were compared between those admitted on weekends (midnight Friday to midnight Sunday) and weekdays. Results: Among 94,320 patients included, 4537 (4.81%) were admitted on weekends. Weekend admissions were associated with significantly higher mortality (aOR 1.86; 95% CI 1.27–2.74) and longer hospital stays (mean increase 3.18 days; p < 0.001) compared to weekday admissions. Complication rates were also higher on weekends, including cardiogenic shock (aOR 2.1; 95% CI 1.54–2.87; p < 0.001), acute kidney injury (aOR 2.48; 95% CI 2.09–2.94; p < 0.001), and acute respiratory failure (aOR 2.88; 95% CI 2.38–3.49; p < 0.001). Additionally, weekend admissions had lower rates of transcatheter aortic valve replacement (TAVR) (aOR 0.49; 95% CI 0.40–0.62; p < 0.01) than weekday admissions. Conclusions: Patients with aortic stenosis admitted on weekends face significantly higher mortality, extended hospital stays, and increased complication rates compared to weekday admissions. Transcatheter aortic valve replacement (TAVR) rates were also lower for patients admitted on weekends. The “weekend effect” markedly influences outcomes, underscoring the need for hospital and administrative strategies to mitigate these adverse effects. Implementing standardized protocols and optimizing resource allocation during weekends could potentially reduce mortality and improve patient outcomes, offering a path to more equitable healthcare delivery.
Machine Learning-Based Structural Health Monitoring Technique for Crack Detection and Localisation Using Bluetooth Strain Gauge Sensor Network
Authors: Shah Mansouri Tahereh , Lubarsky Gennady , Finlay Dewar , McLaughlin James
Published: November 2024

Within the domain of Structural Health Monitoring (SHM), conventional approaches generally are complicated, destructive, and time-consuming. It also necessitates an extensive array of sensors to effectively evaluate and monitor the structural integrity. In this research work, we present a novel, non-destructive SHM framework based on machine learning (ML) for the accurate detection and localisation of structural cracks. This approach leverages a minimal number of strain gauge sensors linked via Bluetooth Low Energy (BLE) communication. The framework is validated through empirical data collected from 3D carbon fibre-reinforced composites, including three distinct specimens, ranging from crack-free samples to specimens with up to ten cracks of varying lengths and depths. The methodology integrates an analytical examination of the Shewhart chart, Grubbs’ test (GT), and hierarchical clustering (HC) algorithm, tailored towards the metrics of fracture measurement and classification. Our novel ML framework allows one to replace exhausting laboratory procedures with a modern and quick mechanism for the material, with unprecedented properties that could provide potential applications in the composites industry.
Impact of the Demographic Dividend on Urban Land Use Efficiency
Authors: Yang Juan , Bai Genchuan , Ou Dinghua , Gao Xuesong , Li Bing , Wang Changquan
Published: November 2024

The demographic transition that accompanies the urbanization transformation has a key impact on land use efficiency. This study applies the PVAR, SDM, and threshold models to investigate the influence of China’s demographic dividend composition on urban land use efficiency, aiming to provide guidance for the strategic management and allocation of demographic resources, thereby optimizing urban land resource utilization. The key findings are as follows: (1) Spatial effects reveal that the scale and structural dividends of the population size dividend significantly inhibit urban land use efficiency, whereas the technological dividend of the population quality dividend initially restrains but ultimately enhances it. The combined impact of quantitative and qualitative demographic dividends on land use efficiency is most pronounced in the west and least in the east. High population provinces see significant land use efficiency benefits, contrasting with medium and low population provinces. (2) Both population size and quality dividends exhibit a single-threshold effect on land use efficiency. In summary, cultivating diverse talents with superior technical skills is essential for fostering the upgrade of new industrialization models, ultimately significantly enhancing land use efficiency.
Early Detection of Wild Ungulate Herbivory Cessation in Mediterranean Landscapes Using Hill Numbers as Vascular Plant Diversity Indices
Authors: García del Barrio José M. , Perea Ramón , Villafuerte-Jordán Rafael , Martínez Jaúregui María
Published: November 2024

Herbivory by ungulates is a seminal driving force in Mediterranean landscapes, where habitat diversity contributes to supporting high population densities. We investigated the influence of grazing and browsing, primarily by red deer (Cervus elaphus), on herbaceous and woody plant species, using a twin-plot design with herbivory exclusion. The prompt detection of herbivory cessation in vegetation was measured in multiscale plots by calculating Hill’s numbers (0, 1, and 2) as diversity indices over two years. The results revealed an increased diversity gradient by habitats (Pine reforestation→Mediterranean woodland→dehesas of Quercus spp.) with an initial increase in overall species and herbaceous species richness in the fenced plots. Woody vegetation did not change significantly in species richness, or typical or dominant ones. In addition to the early changes detected in the richness of herbaceous species (0Dher), medium–long term variations in woody species (presence and abundance) would represent good indicators of herbivory pressure for a diverse array of Mediterranean habitats.
Spatiotemporal Evolution and Influencing Factors of Urban Construction Land in Resource-Exhausted Cities: An Empirical Study of Puyang, China
Authors: Li Xiaodan , Zhu Gangqiang , Liu Zhen
Published: November 2024

Resource-depleted cities face challenges of land structure imbalance and ecological environmental degradation, necessitating relevant research. Clarifying the land use evolution path and exploring the rationality of urban expansion are of significant importance for the sustainable development of resource-depleted cities. This study employs a comprehensive approach utilizing the land use transfer matrix, expansion intensity, expansion speed, and the equal fan analysis method to investigate the evolution characteristics of construction land in Puyang, a typical resource-exhausted city in China, from 1990 to 2020. Additionally, it identifies the driving factors based on a comprehensive approach combining the variance inflation factor (VIF), grey relational analysis, and Pearson correlation analysis. The main findings include the following: (1) From 1990 to 2020, the cultivated land area in Puyang decreased by 181,296 hectares, while the newly added construction land amounted to 24,846.30 hectares, primarily converted from cultivated land. (2) Puyang comprises five counties and one district. Among them, Hualong District exhibited the highest expansion intensity, speed, and area, whereas Taiqian County showed the lowest. This disparity is attributed to resource-centered land development and utilization. (3) From 1990 to 2020, urban expansion in Puyang primarily concentrated in the northeast direction, exhibiting a concentric outward expansion pattern. (4) Socioeconomic factors positively influenced the expansion of construction land, with the “year-end total population” having the most significant impact. Conversely, land use and natural resource factors negatively impacted construction land expansion, with “cultivated land area” being the most prominent. Additionally, policy and institutional frameworks played a regulatory and restrictive role in the evolution of construction land, while topography and location served as fundamental conditions for urban expansion. This study provides methodologies for sustainable development research in resource-exhausted cities and offers a foundation for land use planning research in resource-based regions of China.
Desmodesmus pannonicus Water Extract Inhibits Melanin Synthesis and Promotes Wound Healing
Authors: Sato Kazuomi , Hiraga Yosuke , Yamaguchi Yuji , Sakaki Setsuko , Takenaka Hiroyuki
Published: November 2024

This study investigated the multifaceted benefits of Desmodesmus pannonicus water extract across various cell lines, including murine B16F1 melanoma cells, human keratinocyte HaCaT cells, and human follicle dermal papilla cells (HFDPCs), to assess its potential in skin health improvement. Initially, the antioxidant capacity of the extract was evaluated using the ABTS assay, revealing significant radical scavenging activity, indicating strong antioxidative properties. Subsequently, D. pannonicus extract showed notable inhibition of α-MSH-enhanced melanin production in B16F1 cells without cell toxicity by suppressing tyrosinase expression. Furthermore, the extract significantly promoted cell migration and enhanced wound healing in HaCaT cells, accompanied by an upregulation of VEGF and MMP mRNA levels, which are crucial for the wound healing process. In addition, we investigated the effect of D. pannonicus extract on hair growth-related genes in HFDPCs. Despite a slight reduction in VEGF mRNA levels, an increase in CTGF and HGF1 mRNA levels was observed, alongside a significant down-regulation of TGFβ1, highlighting the extract’s potential to promote hair growth and exhibit antiandrogenic effects. Collectively, these findings demonstrated the therapeutic potential of D. pannonicus extract in treating hyperpigmentation, enhancing wound healing, and promoting hair growth, making it a promising candidate for future dermatological applications.
Characterization and PCR Application of Family B DNA Polymerases from Thermococcus stetteri
Authors: Kuznetsova Aleksandra A. , Soloveva Marina A. , Mikushina Elena S. , Gavrilova Anastasia A. , Bakman Artemiy S. , Kuznetsov Nikita A.
Published: November 2024

DNA polymerases from the hyperthermophilic Archaea have attracted considerable attention as PCR enzymes due to their high thermal stability and proofreading 3′ → 5′ exonuclease activity. This study is the first to report data concerning the purification and biochemical characteristics of the Tst DNA polymerase from Thermococcus stetteri. Both the wild type Tst(wt) DNA polymerase and its chimeric form containing the P36H substitution—which reduces the enzyme’s affinity for the U-containing template and dUTP—and the DNA-binding domain Sso7d from S. solfataricus were obtained and analyzed. It was shown that Tst(wt) could effectively amplify up to 6-kb DNA fragments, whereas TstP36H–Sso7d could amplify DNA fragments up to 15 kb. It was found that TstP36H–Sso7d has superior PCR efficiency compared to the commonly used DNA polymerase PfuV93Q–Sso7d. For the amplification of a 2-kb DNA fragment, TstP36H–Sso7d required less than 10 s of extension time, whereas for PfuV93Q–Sso7d, the extension time was no less than 30 s. Steady-state kinetic assays revealed that the dNTP-binding affinity KdNTPm was the same for TstP36H–Sso7d and PfuV93Q–Sso7d, whereas the maximum rate of dNTP incorporation, kcat, was two orders of magnitude higher for TstP36H–Sso7d. Moreover, the incorporation of incorrect dNTP was not observed for TstP36H–Sso7d up to 56 °C, whereas for PfuV93Q–Sso7d, the extension of primer with incorrect dNTP was observed at 37 °C, supporting higher fidelity of TstP36H–Sso7d. The obtained data suggest that TstP36H–Sso7d may be a good candidate for high-fidelity DNA amplification.
Study on the Effects of CeO2 on the Micro-Structure and Wear Resistance of CuCrZr Plasma Cladding Coatings
Authors: Wang Yang , Xiang Hongjun , Cao Genrong , Qiao Zhiming , Lv Qing’ao , Yuan Xichao , Liang Chunyan , Wang Qirui
Published: November 2024

The electromagnetic railgun, a novel kinetic energy weapon, has found utility in military operations due to its enhanced safety features and superior precision. This study investigates the enhancement of wear resistance in CuCrZr rails through the plasma cladding of CuCrZr-CeO2 coatings with a varying Cerium dioxide (CeO2) content. To enhance the wear resistance of the CuCrZr track, plasma cladding of CuCrZr-CeO2 coatings with varying CeO2 content was investigated. The impact of CeO2 content (0%, 0.1%, 0.15%, 0.2%, 0.25%, 0.3%) on the microstructure, phase composition, and mechanical properties of the CuCrZr coating was assessed using scanning electron microscopy (SEM), X-ray diffraction (XRD), EDS (Energy Dispersive Spectrometer) surface scanning, friction and wear tests, and hardness analysis. The findings indicate that a CeO2 content of 0.15% leads to a transition in the coating’s microstructure from columnar to equiaxed crystals, with the densest grain structure. Beyond 0.15% CeO2, pore defects in the coating increase, compromising mechanical properties. The coating containing 0.15% CeO2 exhibits optimal performance, with a hardness of 75.3, representing a 5.31% increase compared to CeO2-free CuCrZr coatings. Under a 10 N load, the friction coefficient decreases by approximately 17.9% to about 0.64. Moreover, the minimum wear mass is reduced by 44.7% to 3.87 mg. The aforementioned research findings hold immense importance in extending the lifespan of the electromagnetic railgun and improving its operational efficiency.
Adsorption Performances and Mechanisms of MgFe2O4 Spinel Toward Gallium (III) from Aqueous Solution
Authors: Ciocărlie Loredana , Negrea Adina , Ciopec Mihaela , Duteanu Narcis , Negrea Petru , Svera (m Ianăși) Paula , Ianăşi Cătălin
Published: November 2024

The European Union regards gallium as a crucial element. Because of that, the retrieval of gallium ions from secondary sources through diverse methodologies is of the utmost significance in an actual economical context. The primary goal of this study was to explore the viability of MgFe2O4 spinel as an adsorbent material for Ga(III) ions recovery from aqueous solutions. A spinel adsorbent material was synthesised by using the sol–gel synthesis method. After preparation, the obtained spinel was subjected to a thermal treatment, which resulted in modifications of its crystalline structure and morphology, in concordance with the calcination temperatures. Specifically, two distinct temperatures of 260 and 650 °C were utilised in the process, which was conducted in air. The second objective was represented by the physicochemical characterisation of the newly prepared adsorbent material by using various analytical techniques, e.g., Fourier transform infrared spectroscopy (FT-IR), atomic force microscopy (AFM) and magnetic measurements. The optimal conditions for Ga(III) adsorption were established (S:L ratio, solution pH, contact time, temperature, initial Ga(III) concentration). Simultaneously, the obtained experimental data were modelled to prove the fact that the pseudo-second-order model explained the studied kinetics process and established its mechanism. Intraparticle diffusion was also studied to highlight the rate-determined step during the Ga(III) adsorption process. The equilibrium of the process was also studied, establishing that the Sips isotherm fitted the experimental data best, with a correlation coefficient R2~1, indicating that the studied adsorption process was homogeneous, the maximum adsorption capacity of spinel being 24.7 mg Ga (III)/g MgFe2O4. Thermodynamic parameters, involving ΔG°, ΔH° and ΔS°, were also calculated; negative values of ΔG° indicated that the adsorption was spontaneous. ΔH° proved to be endothermic, and the calculated ΔS° values being positive confirmed the fact that the process was spontaneous.
Effects of High-Temperature Treatments in Inert Atmosphere on 4H-SiC Substrates and Epitaxial Layers
Authors: Migliore Francesca , Cannas Marco , Gelardi Franco Mario , Pasquali Filippo , Brischetto Andrea , Vecchio Daniele , Pirnaci Massimo Davide , Agnello Simonpietro
Published: November 2024

Silicon carbide is a wide-bandgap semiconductor useful in a new class of power devices in the emerging area of high-temperature and high-voltage electronics. The diffusion of SiC devices is strictly related to the growth of high-quality substrates and epitaxial layers involving high-temperature treatment processing. In this work, we studied the thermal stability of substrates of 4H-SiC in an inert atmosphere in the range 1600–2000 °C. Micro-Raman spectroscopy characterization revealed that the thermal treatments induced inhomogeneity in the wafer surface related to a graphitization process starting from 1650 °C. It was also found that the graphitization influences the epitaxial layer successively grown on the wafer substrate, and in particular, by time-resolved photoluminescence spectroscopy it was found that graphitization-induced defectiveness is responsible for the reduction of the carrier recombination lifetime.
Effect of Al Element on Retained Austenite, Residual Compressive Stress, and Contact Fatigue Life of Carburized and Quenched 20MnCr5 Steel Gear
Authors: Chen Yong , Luo Li , Zhang Yuquan , Zhou Xingyun , Zeng Deshan , Yu Fucheng
Published: November 2024

To improve the contact fatigue life of gears, we studied the effect of adding a certain proportion of the Al element to a 20MnCr5 steel FZG spur gear under different heat treatment processes, characterizing the retained austenite and residual compressive stress on the tooth surface. The stability of the microstructure grain size on the gear surface under different heat treatment processes was studied, and the surface microstructure, phase structure, and composition of the gear were characterized using scanning electron microscopy (SEM) and X-ray diffraction (XRD). The changes in the retained austenite content and grain size on the gear surface at a microscale of 2–100 μm were investigated. In addition, this study revealed the effect of adding the Al element and the optimization of the carburizing and quenching process on the residual compressive stress on the gear surface at a depth range of 200–280 μm. The effect of higher residual compressive stress and fewer non-metallic inclusions on the gear surface on the stress intensity factor of fatigue crack propagation was considered, along with the effect of deeper hardened layers on the improvement in wear resistance. The experiments in this study significantly improved the contact fatigue life of 20MnCr5 steel gears.
Electron Beam Welding of Dissimilar Stainless Steel and Maraging Steel Joints
Authors: Geľatko Matúš , Vandžura Radoslav , Botko František , Hatala Michal
Published: November 2024

The incorporation of additive manufactured (AM) metal parts to real assemblies is a crucial issue for the increasing of their industrial utilization. The presented research is devoted to the electron beam welding (EBW) of dissimilar steel joints. Dissimilarity is defined by the various types of steel and manufacturing processes used for the creation of specimens. Conventional AISI 316 stainless steel, selective laser melted (SLM) SS 316L stainless steel, and SLM M300 maraging steel were welded at variable parameters in the form of a welding current and a welding velocity. EBW joints were evaluated considering the macroscopic and microscopic characteristics, as well as a reached microhardness. The obtained preliminary results represent important input data for the follow-up experiments focused on the setting of optimal EBW parameters of welding the dissimilar joints including SLM products, with the consideration of their basic macroscopical and microscopical characteristics, mechanical properties, and residual stresses.
A Review of Chitosan-Based Materials for Biomedical, Food, and Water Treatment Applications
Authors: Chicea Dan , Nicolae-Maranciuc Alexandra
Published: November 2024

Chitosan, a natural biopolymer with excellent biocompatibility, biodegradability, and modifiable structure, has broad applications in regenerative medicine, tissue engineering, food packaging, and environmental technology. Its abundance, solubility in acidic solutions, and capacity for chemical modification make it highly adaptable for creating specialized derivatives with enhanced properties. Recent advances have demonstrated chitosan’s efficacy in composite systems for tissue regeneration, drug delivery, and antimicrobial applications. This review examines chitosan’s unique properties, with a focus on its antibacterial activity as influenced by factors like pH, concentration, molecular weight, and deacetylation degree. Additionally, chitosan’s potential as a sustainable, non-toxic material for eco-friendly packaging and water treatment is explored, highlighting the growing interest in chitosan composites with other polymers and metallic nanoparticles for enhanced biomedical and environmental applications.
Kinetic and Thermodynamic Aspects of the Degradation of Ferritic Steels Immersed in Solar Salt
Authors: Felix-Contreras Rafael , de la Vega Olivas Jonathan , Arrieta-Gonzalez Cinthya Dinorah , Chacon-Nava Jose Guadalupe , Rodriguez-Diaz Roberto Ademar , Gonzalez-Rodriguez Jose Gonzalo , Porcayo-Calderon Jesus
Published: November 2024

The study and improvement of the corrosion resistance of materials used in concentrated solar power plants is a permanent field of research. This involves determining their chemical stability when in contact with heat transfer fluids, such as molten nitrate salts. Various studies indicate an improvement in the corrosion resistance of iron-based alloys with the incorporation of elements that show high reactivity and solubility in molten nitrate salts, such as Cr and Mo. This study analyzes the kinetic and thermodynamic aspects of the beginning of the corrosion process of ferritic steels immersed in Solar Salt at 400, 500, and 600 °C. The analysis of the kinetic data using the Arrhenius equation and the Transition State Theory shows that an increase in the Cr/Mo ratio reduces the activation energy, the standard formation enthalpy, and the standard formation entropy. This indicates that its incorporation favors the degradation of steel; however, the results show a reduction in the corrosion rate. This effect is possible due to a synergistic effect by the formation of insoluble Fe-oxide layers that favor the formation of a Cr oxide layer at the Fe-oxide-metal interface, which limits the subsequent oxidation of Fe.
A Collocation Procedure for Treating the Time-Fractional FitzHugh–Nagumo Differential Equation Using Shifted Lucas Polynomials
Authors: Abd-Elhameed Waleed Mohamed , Alqubori Omar Mazen , Atta Ahmed Gamal
Published: November 2024

This work employs newly shifted Lucas polynomials to approximate solutions to the time-fractional Fitzhugh–Nagumo differential equation (TFFNDE) relevant to neuroscience. Novel essential formulae for the shifted Lucas polynomials are crucial for developing our suggested numerical approach. The analytic and inversion formulas are introduced, and after that, new formulas that express these polynomials’ integer and fractional derivatives are derived to facilitate the construction of integer and fractional operational matrices for the derivatives. Employing these operational matrices with the typical collocation method converts the TFFNDE into a system of algebraic equations that can be addressed with standard numerical solvers. The convergence analysis of the shifted Lucas expansion is carefully investigated. Certain inequalities involving the golden ratio are established in this context. The suggested numerical method is evaluated using several numerical examples to verify its applicability and efficiency.
Privacy-Preserving Modeling of Trajectory Data: Secure Sharing Solutions for Trajectory Data Based on Granular Computing
Authors: Chen Yanjun , Zhang Ge , Liu Chengkun , Lu Chunjiang
Published: November 2024

Trajectory data are embedded within driving paths, GPS positioning systems, and mobile signaling information. A vast amount of trajectory data play a crucial role in the development of smart cities. However, these trajectory data contain a significant amount of sensitive user information, which poses a substantial threat to personal privacy. In this work, we have constructed an internal secure information granule model based on differential privacy to ensure the secure sharing and analysis of trajectory data. This model deeply integrates granular computing with differential privacy, addressing the issue of privacy leakage during the sharing of trajectory data. We introduce the Laplace mechanism during the granulation of information granules to ensure data security, and the flexibility at the granularity level provides a solid foundation for subsequent data analysis. Meanwhile, this work demonstrates the practical applications of the solution for the secure sharing of trajectory data. It integrates trajectory data with economic data using the Takagi–Sugeno fuzzy rule model to fit and predict regional economies, thereby verifying the feasibility of the granular computing model based on differential privacy and ensuring the privacy and security of users’ trajectory information. The experimental results show that the information granule model based on differential privacy can more effectively enable data analysis.
Hybrid Quantum–Classical Neural Networks for Efficient MNIST Binary Image Classification
Authors: Ranga Deepak , Prajapat Sunil , Akhtar Zahid , Kumar Pankaj , Vasilakos Athanasios V.
Published: November 2024

Image classification is a fundamental task in deep learning, and recent advances in quantum computing have generated significant interest in quantum neural networks. Traditionally, Convolutional Neural Networks (CNNs) are employed to extract image features, while Multilayer Perceptrons (MLPs) handle decision making. However, parameterized quantum circuits offer the potential to capture complex image features and define sophisticated decision boundaries. In this paper, we present a novel Hybrid Quantum–Classical Neural Network (H-QNN) for image classification, and demonstrate its effectiveness using the MNIST dataset. Our model combines quantum computing with classical supervised learning to enhance classification accuracy and computational efficiency. In this study, we detail the architecture of the H-QNN, emphasizing its capability in feature learning and image classification. Experimental results demonstrate that the proposed H-QNN model outperforms conventional deep learning methods in various training scenarios, showcasing its effectiveness in high-dimensional image classification tasks. Additionally, we explore the broader applicability of hybrid quantum–classical approaches in other domains. Our findings contribute to the growing body of work in quantum machine learning, and underscore the potential of quantum-enhanced models for image recognition and classification.