bluuebunny/crossref_metadata_2025 huggingface dataset:
Cold Coastal City Neighborhood Morphology Design Method Based on Multi-Objective Optimization Simulation Analysis
Authors: Xu Sheng , Zhu Peisheng , Guo Fei , Yan Duoduo , Miao Shiyu , Zhang Hongchi , Dong Jing , Fan Xianchao
Published: October 2024

In the context of global warming and the frequent occurrence of extreme weather, coastal cities are more susceptible to the heat island effect and localized microclimate problems due to the significant influence of the oceanic climate. This study proposes a computer-driven simulation optimization method based on a multi-objective optimization algorithm, combined with tools such as Grasshopper, Ladybug, Honeybee and Wallacei, to provide scientific optimization decision intervals for morphology control and evaluation factors at the initial stage of coastal city block design. The effectiveness of this optimization strategy is verified through empirical research on typical coastal neighborhoods in Dalian. The results show that the strategy derived from the multi-objective optimization-based evaluation significantly improves the wind environment and thermal comfort of Dalian neighborhoods in winter and summer: the optimization reduced the average wind speed inside the block by 0.47 m/s and increased the UTCI by 0.48 °C in winter, and it increased the wind speed to 1.5 m/s and decreased the UTCI by 0.59 °C in summer. This study shows that the use of simulation assessment and multi-objective optimization technology to adjust the block form of coastal cities can effectively improve the seasonal wind and heat environment and provide a scientific basis for the design and renewal of coastal cities.
Performance Assessment of Wood-Based Composite Materials Subjected to High Temperatures
Authors: Erbașu Ruxandra Irina , Sabău Andrei-Dan , Țăpuși Daniela , Teodorescu Ioana
Published: October 2024

This paper is based on research placed within the broader framework of the growing environmental impact requirements of building materials. Given this context, wood-based composite materials have emerged as a promising and innovative solution for structural elements. The current work aims to define a system for testing the mechanical behavior of glued laminated timber elements when exposed to high temperatures, in the neighborhood of the pyrolytic decomposition of materials. These tests monitor the transient behavior of the composite material and characterize the parameters involved in the thermo-mechanical analysis of elements constructed using this type of engineered wood product. The tests are used for the calibration of the material models involved in the numerical analysis and for the analysis of potential prototypes, considering the transient thermal load and heat propagation through the materials. By taking such tests, benchmark models and laboratory procedures are defined that can be used in the future to evaluate different materials, existing or new, and material combinations used to construct such a composite.
Discovery and Reconstruction of the Remains of the Beacon-Equipped Hollow Enemy Towers along the Ming Great Wall
Authors: Chen Zhixing , Li Zhe , Tuo Xiaolong , Li Yan , Zhang Yukun , Zhao Xiaofeng
Published: October 2024

Hollow Enemy Towers, as iconic structures of the Ming Great Wall, are renowned for their roles in defense surveillance, weapon storage, and firearm operation. Recent studies have indicated that certain Hollow Enemy Towers along the Ji Town section of the Ming Great Wall also serve the function of Beacon Towers for beacon signaling. However, previous studies have not definitively determined if these towers were distinctively marked, nor have they provided a comprehensive account of their current distribution and original historical appearance. This paper initially examined the historical documentation of white lime markings employed on the outer walls of certain Hollow Enemy Towers, which served as Beacon Towers during the middle and late Ming periods. Utilizing multidisciplinary methodologies, this research identified remains of lime markings of the Beacon-Equipped Hollow Enemy Towers along the Ji Town section of the Ming Great Wall, illustrating their extensive distribution. We analyzed the material composition and construction techniques of the lime mortar. This analysis clarifies the scope of lime plastering on the exterior walls of these towers and offers a point of reference for restoring their original historical appearance. The results make a significant supplement to the types of signaling structures on the Great Wall, enriching existing understanding of the original appearance of the Great Wall’s historical landscape.
Analysis of Rainwater Quality and Temperature Reduction Effects Using Rainwater Harvesting Facilities
Authors: Choi JongSoo , Lee JungMin , Kim MyeongIn , Lee JaeHyeon , Cho YoungTae
Published: October 2024

As eco-friendly complexes develop, interest in eco-friendly facilities is also growing. Particularly, rainwater harvesting facilities have demonstrated positive effects by reducing runoff to mitigate urban flooding and recycling water for landscaping and cleaning purposes. In this study, we analyzed the quality of stored rainwater, which has improved by excluding initial runoff, and examined the temperature reduction effects of road sprinkling and mist spraying. Road sprinkling decreased the temperature of asphalt and permeable pavements by approximately 15 °C, with permeable pavements maintaining the reduced temperature for a longer time. The indoor experiments with mist spraying showed a temperature reduction effect of 3.4 °C. The quality analysis of the rainwater harvesting facilities revealed that the water quality was suitable for irrigation and landscaping by excluding the initial runoff. This study confirms the effectiveness of rainwater utilization in mitigating urban heat islands and improving water circulation within cities.
Thermo-Mechanical Coupling Load Transfer Method of Energy Pile Based on Hyperbolic Tangent Model
Authors: Sun Ming , Wu Siyang , Wang Tong , Xie Yunze , Xu Meijuan , Dong Yan , Zhao Dongxiao , Wu Wenbing
Published: October 2024

By employing the hyperbolic tangent model of load transfer (LT), this paper establishes the thermo-mechanical (TM) coupling load transfer analysis approach for an energy pile (EP). By incorporating the control condition of the unbalance force at the null point, the method for determining the null point considering the temperature effect is enhanced. The viability of the presented method is validated through the measured outcomes from model experiments of energy piles. A parametric investigation is conducted to explore the impact of the soil shear strength parameters, upper load, temperature variation, head stiffness, and radial expansion on the axial force, strain, and displacement of the energy pile under thermo-mechanical coupling. The results suggest that the locations of the null point and the maximum axial force are dependent on the constraint boundary conditions of the pile side and the two ends. When the stiffness of the pile top increases, axial stress and displacement increase, while strain decreases. An increase in the drained friction angle leads to an increase in axial stress under thermal-load coupling, but strain and displacement decline. The radial expansion has a negligible influence on the thermo-mechanical interaction between the pile and the soil.
Self-Assembled PDI-COOH/PDINH Supramolecular Composite Photocatalysts for Highly Efficient Photodegradation of Organic Pollutants
Authors: Zhou Guodong , He Zetian , Jia Zeyu , Ma Shiqing , Chen Daimei , Li Yilei
Published: October 2024

Photocatalytic degradation of organic pollutants is one of the green ways to solve environmental problems. In this study, the PDI-COOH/PDINH composite photocatalysts were successfully synthesized by electrostatic self-assembly. Under visible light irradiation, the degradation efficiency of the optimal PDI-COOH/PDINH sample reached 67%, which was 1.7 and 1.6 times higher than that of the self-assembled PDINH supramolecule and PDI-COOH supramolecule, respectively. The excellent photocatalytic performance of PDI-COOH/PDINH can be attributed to the enhancement of the separation and transport efficiency of photogenerated carriers by the construction of a heterojunction and the expanded electronic conjugated structure by the combination of organic–organic semiconductors. This study offers a new idea for the preparation of organic–organic composite photocatalysts.
Seeds Combining Pyrrolidine Control the Framework Al Distribution of FER Zeolite to Enhance Its Performance in the Skeletal Isomerization of n-Butene
Authors: Fan Jinlong , Zhu Xuedong , Yang Fan , Xu Yarong , Chen Lantian
Published: October 2024

FER zeolites have a unique framework structure and acid distribution, and are widely studied as a catalyst for reactions such as n-butene skeletal isomerization and dimethyl ether carbonylation. The Brönsted acid site (BAS) located in the 10-member ring (10-MR) of FER zeolites serves as the active site for the isomerization reaction of skeletal n-butene to produce isobutene. This study prepared five types of FER zeolites using different methods: using pyrrolidine (PY) alone as a template; using Na-form FER as seeds (SN) or H-form FER as seeds without organic structure directing agents (OSDAs); and combining the seeds of SN or SH with PY as OSDAs. The differences in the structure and acid distribution of the five zeolites were investigated, as well as their catalytic performance for the skeletal isomerization of n-butene. Experiments and characterization results showed that under hydrothermal synthesis conditions, the FER-PY+SH zeolites synthesized by using both H-form zeolites seeds and pyridine exhibited the highest aluminum concentrations at T1 and T3 sites, along with the greatest BAS located in the 10-MR. This unique composition contributed to the highest selectivity of isobutene. The FER-PY+SH catalyst was continuously used for 720 h at 350 °C, 0.1 MPa, and an n-butene mass space velocity of 2.0 h−1 for three cycles of 2160 h. During this period, the conversion of n-butene was over 39%, while the selectivity of isobutene exceeded 95%. The FER-PY+SH catalyst exhibited excellent stability and activity.
Validation of Fixed Ultrasonography for Achilles Tendon Assessment: A Reliability Study
Authors: Alabau-Dasi Raquel , Dominguez-Maldonado Gabriel , Ortega-Avila Ana Belen , Gordillo-Fernandez Luis M. , Ortiz-Romero Mercedes , Melchor-Rodriguez Juan Manuel , Gijon-Nogueron Gabriel
Published: October 2024

Background: It is important to highlight the advantages of ultrasound in assessing muscular and tendinous behavior due to its non-invasive nature and capacity for dynamic studies. However, evaluating tendons via ultrasound can be challenging given the complexity of anisotropic phenomena related to collagen fiber arrangement. This study aims to validate the reliability of fixed ultrasound compared to manual acquisition in measuring Achilles tendon thickness. Method: Twenty participants, six men and fourteen women, were recruited. Ultrasound was used to measure the Achilles tendon’s thickness at two specific points (4 and 6 cm from the calcaneal insertion of the Achilles tendon). The measurements were conducted by two examiners, one with previous experience and another without. Results: The measurements at 6 cm from the calcaneal insertion showed α = 0.996, α = 0.998 for measurements at 4 cm using manual acquisition, and α = 0.997 for measurements with fixed ultrasound at rest. For the weight-bearing and ankle dorsiflexion measurements, the reliability was excellent (α = 0.999 and α = 1.000). Conclusions: The findings demonstrated excellent reliability in the ultrasound measurements of the Achilles tendon’s thickness, even when performed by different evaluators and under load-bearing conditions. This study suggests the clinical utility of assessing anatomical structures under load, enhancing ultrasound’s applicability beyond the examination table. It is concluded that fixed ultrasound acquisition exhibits excellent reliability in measuring the Achilles tendon’s thickness, offering potential benefits for precise diagnosis of pathologies, planning surgical interventions, and reducing possible errors related to operator variability.
Sedation and Endoscopy-Assisted High-Resolution Manometry (SEA-HRM) in Patients Who Previously Failed Standard Esophageal Manometry
Authors: Cohen Daniel L. , Avivi Eyal , Vosko Sergei , Richter Vered , Shirin Haim , Bermont Anton
Published: October 2024

Objectives: Esophageal high-resolution manometry (HRM) is the gold standard for diagnosing esophageal motility disorders, but it may be poorly tolerated and unsuccessful. We sought to evaluate a protocol for sedation and endoscopy-assisted (SEA) HRM in patients who previously failed standard HRM and assess patient perspectives towards it. Methods: Adult patients who previously failed HRM were prospectively enrolled. Under propofol sedation, an upper endoscopy was performed during which the HRM catheter was advanced under endoscopic visualization. If the catheter did not reach the stomach on its own, the endoscope itself or a snare was used to help it traverse the esophagogastric junction (EGJ). Results: Thirty patients participated (mean age 67.8, 70% female). The technical success of SEA-HRM was 100%. Twenty-two (73.3%) were diagnosed with a motility disorder including thirteen (43.3%) with achalasia. Eighteen (60%) had previously failed HRM due to discomfort/intolerance, while twelve (40%) failed due to catheter coiling in the esophagus. Subjects in the coiling group were more likely to need endoscopic assistance to traverse the EGJ (91.7% vs. 27.7%, p = 0.001) and have a motility disorder (100.0% vs. 55.6%, p = 0.010), including achalasia (75.0% vs. 22.2%, p = 0.004), compared to the discomfort/intolerance group. All patients preferred SEA-HRM and rated it higher than standard HRM (9.5 ± 1.3 vs. 1.9 ± 2.1, p = <0.001, on a scale of 1–10). Conclusions: SEA-HRM is a highly successful and well-tolerated option in patients who previously failed standard HRM. This should be the recommended approach in cases of failed HRM rather than secondary tests of esophageal motility.
An Automated Clubbed Fingers Detection System Based on YOLOv8 and U-Net: A Tool for Early Prediction of Lung and Cardiovascular Diseases
Authors: Hsu Wen-Shin , Liu Guan-Tsen , Chen Su-Juan , Wei Si-Yu , Wang Wei-Hsun
Published: October 2024

Background/Objectives: Lung and cardiovascular diseases are leading causes of mortality worldwide, yet early detection remains challenging due to the subtle symptoms. Digital clubbing, characterized by the bulbous enlargement of the fingertips, serves as an early indicator of these diseases. This study aims to develop an automated system for detecting digital clubbing using deep-learning models for real-time monitoring and early intervention. Methods: The proposed system utilizes the YOLOv8 model for object detection and U-Net for image segmentation, integrated with the ESP32-CAM development board to capture and analyze finger images. The severity of digital clubbing is determined using a custom algorithm based on the Lovibond angle theory, categorizing the condition into normal, mild, moderate, and severe. The system was evaluated using 1768 images and achieved cloud-based and real-time processing capabilities. Results: The system demonstrated high accuracy (98.34%) in real-time detection with precision (98.22%), sensitivity (99.48%), and specificity (98.22%). Cloud-based processing achieved slightly lower but robust results, with an accuracy of 96.38%. The average processing time was 0.15 s per image, showcasing its real-time potential. Conclusions: This automated system provides a scalable and cost-effective solution for the early detection of digital clubbing, enabling timely intervention for lung and cardiovascular diseases. Its high accuracy and real-time capabilities make it suitable for both clinical and home-based health monitoring.
A Cross-Entropy Approach to the Domination Problem and Its Variants
Authors: Burdett Ryan , Haythorpe Michael , Newcombe Alex
Published: October 2024

The domination problem and three of its variants (total domination, 2-domination, and secure domination) are considered. These problems have various real-world applications, including error correction codes, ad hoc routing for wireless networks, and social network analysis, among others. However, each of them is NP-hard to solve to provable optimality, making fast heuristics for these problems desirable. There are a wealth of highly developed heuristics and approximation algorithms for the domination problem; however, such heuristics are much less common for variants of the domination problem. We redress this gap in the literature by proposing a novel implementation of the cross-entropy method that can be applied to any sensible variant of domination. We present results from experiments that demonstrate that this approach can produce good results in an efficient manner even for larger graphs and that it works roughly as well for any of the domination variants considered.
Named Entity Recognition for Equipment Fault Diagnosis Based on RoBERTa-wwm-ext and Deep Learning Integration
Authors: Gao Feifei , Zhang Lin , Wang Wenfeng , Zhang Bo , Liu Wei , Zhang Jingyi , Xie Le
Published: October 2024

Equipment fault diagnosis NER is to extract specific entities from Chinese equipment fault diagnosis text, which is the premise of constructing an equipment fault diagnosis knowledge graph. Named entity recognition for equipment fault diagnosis can also provide important data support for equipment maintenance support. Equipment fault diagnosis text has complex semantics, fuzzy entity boundaries, and limited data size. In order to extract entities from the equipment fault diagnosis text, this paper presents an NER model for equipment fault diagnosis based on RoBERTa-wwm-ext and Deep Learning network integration. Firstly, this model uses the RoBERTa-wwm-ext to extract context-sensitive embeddings of text sequences. Secondly, the context feature information is obtained through the BiLSTM network. Thirdly, the CRF is combined to output the label sequence with a constraint relationship, improve the accuracy of sequence labeling task, and complete the entity recognition task. Finally, experiments and predictions are carried out on the constructed dataset. The results show that the model can effectively identify five types of equipment fault diagnosis entities and has higher evaluation indexes than the traditional model. Its precision, recall, and F1 value are 94.57%, 95.39%, and 94.98%, respectively. The case study proves that the model can accurately recognize the entity of the input text.
A Design Review for Biomedical Wireless Power Transfer Systems with a Three-Coil Inductive Link through a Case Study for NICU Applications
Authors: Hazrati Marangalou Amin , Gonzalez Miguel , Reppucci Nathaniel , Guler Ulkuhan
Published: October 2024

This paper outlines a design approach for biomedical wireless power transfer systems with a focus on three-coil inductive links for neonatal intensive care unit applications. The relevant literature has been explored to support the design approach, equations, simulation results, and the process of experimental analysis. The paper begins with a brief overview of various power amplifier classes, followed by an in-depth examination of the most common power amplifiers used in biomedical wireless power transfer systems. Among the traditional linear and switching amplifier classes, class-D and class-E switching amplifiers are highlighted for their enhanced efficiency and straightforward implementation in biomedical contexts. The impact of load variation on these systems is also discussed. This paper then explores the basic concepts and essential equations governing inductive links, comparing two-coil and multi-coil configurations. In the following, the paper discusses foundational coil parameters and provides theoretical and experimental analysis of both two-coil and multi-coil inductive links through step-by-step measurement techniques using lab equipment and addressing the relevant challenges. Finally, a case study for neonatal intensive care unit applications is presented, showcasing a wireless power transfer system operating at 13.56 MHz for powering a wearable device on a patient lying on a mattress. An inductive link with a transmitter coil embedded in a mattress is designed to supply power to a load at distances ranging from 4 cm to 12 cm, simulating the mattress-to-chest distance of an infant. the experimental results of a three-coil inductive link equipped with a Class-E power amplifier are reported, demonstrating power transfer efficiency ranging from 75% to 25% and power delivery to a 500 Ω-load varying from 340 mW to 25 mW over various distances.
Predictive Modeling of Customer Response to Marketing Campaigns
Authors: El-Hajj Mohammed , Pavlova Miglena
Published: October 2024

In today’s data-driven marketing landscape, predicting customer responses to marketing campaigns is essential for optimizing both engagement and Return On Investment (ROI). This study aims to develop a predictive model using a Decision Tree (DT) to identify key factors influencing customer behavior and improve campaign targeting. The methodology involves building the DT model, initially achieving an accuracy of 87.3%. However, the model faced challenges with precision and recall due to class imbalance. To address this, a resampling technique was applied, which significantly improved model performance, increasing recall from 44% to 83.1% and the F1-score from 49% to 74.2%. Key influential features identified include the recency of a customer’s purchase, their duration as a customer, and their response history to previous campaigns. This study demonstrates the practicality and interpretability of the DT model, offering actionable insights for marketing professionals seeking to enhance campaign effectiveness and customer targeting.
Hyperspectral Imaging Combined with Machine Learning Can Be Used for Rapid and Non-Destructive Monitoring of Residual Nitrite in Emulsified Pork Sausages
Authors: Son Woo-Young , Kang Mun-Hye , Hwang Jun , Kim Ji-Han , Dixit Yash , Kim Hyun-Wook
Published: October 2024

The non-destructive and rapid monitoring system for residual nitrite content in processed meat products is critical for ensuring food safety and regulatory compliance. This study was performed to investigate the application of hyperspectral imaging in combination with machine learning algorithms to predict and monitor residual nitrite concentrations in emulsified pork sausages. The emulsified pork sausage was formulated with 1.5% (w/w) sodium chloride, 0.3% (w/w) sodium tripolyphosphate, 0.5% (w/w) ascorbic acid, and sodium nitrite at concentrations of 0, 30, 60, 90, 120, and 150 mg/kg, based on total sample weight. Hyperspectral imaging measurements were conducted by capturing images of the cross-sections and lateral sides of sausage samples in a linescan mode, covering the spectral range of 1000–2500 nm. The analysis revealed that higher nitrite concentrations could influence the protein matrix and hydrogen-bonding capacities, which might cause increased reflectance at approximately 1080 nm and 1280 nm. Machine learning models, including XGBoost, CATboost, and LightGBM, were employed to analyze the hyperspectral data. XGBoost demonstrated the best performance, achieving an R2 of 0.999 and a root mean squared error of 0.095, highlighting its high predictive accuracy. This integration of hyperspectral imaging with advanced machine learning algorithms offers a non-destructive and real-time method for monitoring residual nitrite content in processed meat products, noticeably improving quality control processes in the meat industry. Additionally, real-time implementation in industrial settings could further streamline quality control and enhance operational efficiency. Further research should focus on validating these findings with larger sample sizes and more diverse datasets to ensure robustness.
Chemometric Discrimination of the Geographical Origin of Rheum tanguticum by Stable Isotope Analysis
Authors: Nuralykyzy Bayan , Nie Jing , Zhou Guoying , Mei Hanyi , Zhao Shuo , Li Chunlin , M. Rogers Karyne , Zhang Yongzhi , Yuan Yuwei
Published: October 2024

Rheum tanguticum is one of the primary rhubarb species used for food and medicinal purposes, and it has recently been gaining more attention and recognition. This research represents the first attempt to use stable isotopes and elemental analysis via IRMS to identify the geographical origin of Rheum tanguticum. A grand total of 190 rhubarb samples were gathered from 38 locations spread throughout the provinces of Gansu, Sichuan, and Qinghai in China. The carbon content showed a decreasing trend in the order of Qinghai, followed by Sichuan, and then Gansu. Nitrogen content was notably higher, with Qinghai and Sichuan displaying similar levels, while Gansu had the lowest nitrogen levels. Significant differences were noted in the δ13C (−28.9 to −26.5‰), δ15N (2.6 to 5.6‰), δ2H (−120.0 to −89.3‰), and δ18O (16.0‰ to 18.8‰) isotopes among the various rhubarb cultivation areas. A significant negative correlation was found between %C and both longitude and humidity. Additionally, δ13C and δ15N isotopes were negatively correlated with longitude, and δ15N showed a negative correlation with humidity as well. δ2H and δ18O isotopes exhibited a strong positive correlation with latitude, while significant negative correlations were observed between δ2H and δ18O isotopes and temperature, precipitation, and humidity. The LDA, PLS-DA, and k-NN models all exhibited strong classification performance in both the training and validation sets, achieving accuracy rates between 82.1% and 91.7%. The combination of stable isotopes, elemental analysis, and chemometrics provides a reliable and efficient discriminant model for accurately determining the geographical origin of R. tanguticum in different regions. In the future, the approach will aid in identifying the geographical origin and efficacy of rhubarb in other studies.
A New Plant Active Polysaccharide from Nicotiana Improves the Lead-Led Impairment of Spatial Memory in Mice by Modulating the Gut Microbiota and IL-6
Authors: Yang Ruili , Zhu Feng , Mo Wanying , Li Huailong , Zhu Dongliang , He Zengyang , Ma Xiaojing
Published: October 2024

Active polysaccharides from plants are broadly applied in the food and health industry. The purpose of this study is to identify a new plant active polysaccharide and to investigate its role in modulating spatial memory. Ultrasonics and DEAE-52 chromatography were used to separate and purify the plant active polysaccharide (PAP). Mice were exposed to 100 ppm of lead acetate from birth to 7 weeks old to establish the memory impairment model. PAPs with concentrations of 200 or 400 ppm were fed to the subject mice each day after weaning in a spatiotemporally separated fashion. At the end of the intervention, mice were examined using the Morris water maze test, microbiome sequencing, cytokine profiling and protein analysis. The derived active polysaccharide was constituted by β-anomeric carbon, indicating a new form of PAP. The PAP significantly ameliorates the memory impairment caused by postnatal lead exposure, as evidenced by the preferred coverage of the test mouse in the hidden platform, demonstrating salient neuroregulatory activity. In terms of the gut microbiome in response to PAP treatment, it was found that the 400 ppm PAP reversed the gut dysbiosis, producing a comparable structure to the intact animals, represented by the relative abundance of Firmicutes and Muribaculum, Desulfovibrio, etc. For cytokines, the PAP reversed the plasma levels of IL-6, suggesting an anti-inflammatory trend in the context of proinflammation caused by lead invasion. By injecting an IL-6 antagonist, Tocilizumab, into the deficient mice, the spatial memory was significantly repaired, which demonstrates the central roles of IL-6 in mediating the positive effect of the PAP. Finally, a histone modification mark, H3K27me3, was found to be potent in responding to the signals conveyed by the PAP. The PAP could improve the memory deficits by remodeling the gut–brain axis centered at the microbiota and IL-6, which is regarded as an important cytokine-modulating brain activity. This is an intriguing instance linking neuromodulation with the active polysaccharide, shedding light on the innovative applications of plant polysaccharides due to the scarcity of similar phenotypic connections.
Heavy Metal Nanoparticle Detection in Human and Formula Milk
Authors: Gatti Antonietta Morena , D’Adamo Ebe , Botondi Valentina , Montanari Stefano , Colletti Erika , Gagliardi Luigi , Ciotti Sabina , Abdelhameed Ali Saber , Gazzolo Francesca , Maconi Antonio , Mangifesta Rocco , Picone Simonetta , Lauriola Federico , Gazzolo Diego
Published: October 2024

Breast milk is the natural source of nutrition for infants, but while it supports their health, it can also be a potential source of toxic inorganic particulate matter, and this applies to both breast milk and industrially produced milk. The aim of the present study was to evaluate the presence of nanoparticles in both breast milk and formula milk samples. We collected and analyzed, via a new electron scanning microscopic procedure, 19 samples of breast milk from Italian women and 19 formula milk samples produced by different companies. Organic–inorganic agglomerates were detected in 58% of formula and in 63% of breast milk samples, respectively. In addition, a significantly (p < 0.05) greater size of nanoparticles was observed in formula milk samples. The results, showing the presence of inorganic nanosized particles in breast and artificial milk, may lead to future studies aimed at investigating possible nanosized contamination of milk and identifying early prevention strategies for women and animals involved in the food chain.
Cross-Cultural Adaptation, Reliability, and Validity of the Greek Version of the Fremantle Neck Awareness Questionnaire (FreNAQ-GR) in Patients with Chronic Neck Pain
Authors: Koumantakis George A. , Nikolaki Faidra , Kefalaki Foteini , Tatsios Petros I. , Paraskevopoulos Eleftherios , Vrouva Sotiria
Published: October 2024

Background: Neck self-awareness, related to sensorimotor dysfunction, can be monitored with the Fremantle Neck Awareness Questionnaire (FreNAQ). The cross-cultural adaptation of the FreNAQ in Greek (FreNAQ-GR) and an assessment of its psychometric properties were conducted. Methods: This study included 104 participants (65 female) with non-specific chronic neck pain (NSCNP). Once the cross-cultural adaptation process of the FreNAQ-GR was complete, the testing of its construct validity was conducted via an exploratory factor analysis (EFA). The construct validity examination also included a correlational analysis with a Pain Intensity Visual Analogue Scale (PI-VAS), the Neck Disability Index (NDI), the Tampa Scale of Kinesiophobia (TSK), the Pain Catastrophizing Scale (PCS), and demographics. The internal consistency of the FreNAQ-GR was also examined. A sub-sample of participants (n = 30) completed the FreNAQ-GR again after 5–7 days. Results: The dataset was appropriate for EFA (measure of sampling adequacy KMO = 0.763 and Bartlett’s test of sphericity p < 0.001). The FreNAQ-GR demonstrated a single-factor 6-item structure (items 7–9 removed), explaining 53.69% of the common variance. Statistically significant correlations (Spearman’s) were registered between the FreNAQ-GR (both versions) and the NDI (r = 0.33/0.29, p < 0.001), the TSK (r = 0.46/0.41, p < 0.001), and the PCS (r = 0.37/0.33, p < 0.001). For the 9-item and the 6-item FreNAQ-GR, the internal consistency (Chronbach’s a/McDonald’s ω) was 0.80/0.79 and 0.826/0.816, respectively. The test–retest reliability was excellent for both versions ICC2,1 (95% CI) = 0.98/0.98 (0.97–0.99/0.95–0.99), with low error values SEM = 0.90/0.74 and MDC95% = 2.49/2.05 points. Conclusions: The FreNAQ-GR is suitable for assessing neck self-awareness in Greek-speaking patients with NSCNP.
Work Situation of Midwives in Spain: Perception of Autonomy and Intention to Leave the Profession: A Cross-Sectional Study
Authors: Iglesias-Casás Susana , Vila-Candel Rafael , Mena-Tudela Desirée , Martín-Arribas Anna , Leon-Larios Fátima
Published: October 2024

Background: Developed countries report specific issues regarding the declining midwifery workforce, and their shortage could have serious consequences for women’s sexual and reproductive health. The aim was to understand the perception of autonomy among midwives working in Spain, as well as factors related to their intention to leave the profession and their work environment. Method: A descriptive and cross-sectional study using an online questionnaire. Population: midwives working in Spain in any field (clinical, research, teaching, or management). Results: A sample of 1060 midwives was obtained. Of these, 53.7% (n = 569) feel autonomous in their work, 92.4% (n = 978) perceive that their profession frequently suffers from external interference, 46.6% (n = 494) have experienced sexist behaviors at work, and 53% (n = 561) have considered leaving the profession in the last year. Midwives with less than 10 years of experience (57.7%), those aged 31–45 years (59.8%), those with temporary contracts (38.3%), and those working in hospital care (71.9%) show a higher rate of considering leaving the profession (p < 0.001). Conclusions: Considering the current midwifery workforce crisis in Spain, it seems urgent to improve the working conditions of midwives to ensure the continuity and quality of women’s sexual and reproductive healthcare.
Metabolic Rate and Oxidative Stress as a Risk Factors in the Development of Colorectal Cancer
Authors: Sawicka Diana , Maciak Sebastian , Sadowska Anna , Sokołowska Emilia , Gohal Sylwia , Guzińska-Ustymowicz Katarzyna , Niemirowicz-Laskowska Katarzyna , Car Halina
Published: October 2024

There is growing evidence that the body’s energy expenditures constitute a significant risk factor for the development of most deadly diseases, including cancer. Our aim was to investigate the impact of basal metabolic rate (BMR) on the growth and progression of colorectal cancer (CRC). To do so, we used a unique model consisting of three lines of laboratory mice (Mus musculus) artificially selected for high (HBMR) and low (LBMR) basal metabolic rate and randomly bred individuals (non-selected, NSBMR). The experimental individuals were implanted with human colorectal cancer cells DLD-1. The variation in BMR between the lines allowed for testing the impact of whole-body metabolism on oxidative and antioxidant parameters in the liver throughout the cancerogenesis process. We investigated the dependence between metabolic values, reactive oxygen species (ROS) levels, and Kelch-like ECH-associated protein 1-based E3 ligase complexes (Keap1) gene activity in these animals. We found that the HBMR strain had a higher concentration of oxidative enzymes compared to the LBMR and NSBMR. Furthermore, the growth rate of CRC tumors was associated with alterations in the levels of oxidative stress enzymes and Keap1 expression in animals with a high metabolic rate. Our results indicate that a faster growth and development of CRC line DLD-1 is associated with enzymatic redox imbalance in animals with a high BMR.
Pig Milk Exosome Packaging ssc-miR-22-3p Alleviates Pig Intestinal Epithelial Cell Injury and Inflammatory Response by Targeting MAPK14
Authors: Li Jie , Hu Huihui , Fu Panpan , Yang Qiaoli , Wang Pengfei , Gao Xiaoli , Yang Jiaojiao , Gun Shuangbao , Huang Xiaoyu
Published: October 2024

Inflammatory diseases of the intestinal tract in piglets severely impair the economic performance of pig farms. Pig milk exosomes can encapsulate miRNAs which can then enter the piglet intestine to play an immunomodulatory role. Previously, we comparatively analyzed and identified exosomal miRNAs in the colostrum and mature milk of Bamei and Landrace pigs, and we screened for ssc-miR-22-3p, which is associated with inflammation and immune response; however, the role played by ssc-miR-22-3p in the immune response in IPEC-J2 cells is not yet clear. In this study, we first constructed a pig intestinal inflammatory response model using Lipopolysaccharide (LPS) and Polyinosinic-polycytidylic acid (Poly (I:C)), and we investigated the role of ssc-miR-22-3p targeting MAPK14 in the regulation of LPS and Poly (I:C)-induced inflammatory injury in IPEC-J2 cells by RT-qPCR, cell counting kit-8 (CCK-8), EdU staining, lactate dehydrogenase (LDH) activity assay, and dual luciferase reporter gene assay. We successfully established LPS and Poly (I:C)-induced cell damage models in IPEC-J2 cells. The immune response of IPEC-J2 cells was stimulated by induction of IPEC-J2 cells at 10 μg/mL LPS and 20 μg/mL Poly (I:C) for 24 h. Overexpression of ssc-miR-22-3p decreased cytokine expression and promoted cell viability and proliferation. The functional enrichment analysis revealed that ssc-miR-22-3p targets genes enriched in the pathways of negative regulation of inflammatory response and bacterial invasion of epithelial cells. The validity of the binding site of ssc-miR-22-3p to MAPK14 was tested by a dual luciferase reporter gene. Pig milk exosome ssc-miR-22-3p promotes cell viability and proliferation by targeting MAPK14, and it alleviates LPS and Poly (I:C)-induced inflammatory responses in IPEC-J2 cells.
miRNAs as Epigenetic Biomarkers in the Study of the Bidirectional Relationship between Type 2 Diabetes Mellitus and Periodontitis: A Systematic Review
Authors: Mata-Monterde María , Serrano-Valcarce Ana , Almiñana-Pastor Pedro José , Micó-Martínez Pablo , López-Roldán Andrés
Published: October 2024

The objective of this study is to analyze the miRNA expression of oral fluids such as gingival crevicular fluid (GCF) in patients with periodontitis and Type 2 diabetes mellitus, and how these epigenetic biomarkers can influence the bidirectional relationship of these two inflammatory diseases. This review was conducted following the PRISMA criteria. PubMed, Scopus, Cochrane Library, Embase, and Web of Science databases were searched for clinical studies conducted on humans investigating, through GCF miRNA expression, the relationship between periodontal diseases and type 2 diabetes mellitus. In addition, the etiopathogenic pathways of the studied miRNAs were analyzed using the DIANA MIR path tool. A total of 1436 references were identified in the initial literature search, and seven articles were finally included in this review. Most of the articles included in this review were case–control studies and examined the expression of miRNAs in patients with periodontitis with or without diabetes. Due to their characteristics, miRNAs appear to be the ideal biomarkers for improving the understanding and knowledge of the etiopathogenic pathways that link both diseases. Among all the studied miRNAs, miR-146a, miR-155, miR-200b, miR-223, and miR-203 showed strong involvement in inflammatory and metabolic pathways, making them potential good diagnostic and prognostic biomarkers.
Pentadecanoic Acid-Releasing PDMS: Towards a New Material to Prevent S. epidermidis Biofilm Formation
Authors: D'Angelo Caterina , Faggiano Serena , Imbimbo Paola , Viale Elisabetta , Casillo Angela , Bettati Stefano , Olimpo Diana , Tutino Maria Luisa , Monti Daria Maria , Corsaro Maria Michela , Ronda Luca , Parrilli Ermenegilda
Published: October 2024

Microbial biofilm formation on medical devices paves the way for device-associated infections. Staphylococcus epidermidis is one of the most common strains involved in such infections as it is able to colonize numerous devices, such as intravenous catheters, prosthetic joints, and heart valves. We previously reported the antibiofilm activity against S. epidermidis of pentadecanoic acid (PDA) deposited by drop-casting on the silicon-based polymer poly(dimethyl)siloxane (PDMS). This material exerted an antibiofilm activity by releasing PDA; however, a toxic effect on bacterial cells was observed, which could potentially favor the emergence of resistant strains. To develop a PDA-functionalized material for medical use and overcome the problem of toxicity, we produced PDA-doped PDMS by either spray-coating or PDA incorporation during PDMS polymerization. Furthermore, we created a strategy to assess the kinetics of PDA release using ADIFAB, a very sensitive free fatty acids fluorescent probe. Spray-coating resulted in the most promising strategy as the concentration of released PDA was in the range 0.8–1.5 μM over 21 days, ensuring long-term effectiveness of the antibiofilm molecule. Moreover, the new coated material resulted biocompatible when tested on immortalized human keratinocytes. Our results indicate that PDA spray-coated PDMS is a promising material for the production of medical devices endowed with antibiofilm activity.
Resolving Phenotypic Variability in Mitochondrial Diseases: Preliminary Findings of a Proteomic Approach
Authors: Cicchinelli Michela , Primiano Guido , Servidei Serenella , Ardito Michelangelo , Percio Anna , Urbani Andrea , Iavarone Federica
Published: October 2024

The introduction of new sequencing approaches into clinical practice has radically changed the diagnostic approach to mitochondrial diseases, significantly improving the molecular definition rate in this group of neurogenetic disorders. At the same time, there have been no equal successes in the area of in-depth understanding of disease mechanisms and few innovative therapeutic approaches have been proposed recently. In this regard, the identification of the molecular basis of phenotypic variability in primary mitochondrial disorders represents a key aspect for deciphering disease mechanisms with important therapeutic implications. In this study, we present data from proteomic investigations in two subjects affected by mitochondrial disease characterized by a different clinical severity and associated with the same variant in the TWNK gene, encoding the mitochondrial DNA and RNA helicase with a specific role in the mtDNA replisome. Heterozygous pathogenic variants in this gene are associated with progressive external ophthalmoplegia and ptosis, usually with adult onset. The overall results suggest an imbalance in glucose metabolism and ROS production/regulation, with possible consequences on the phenotypic manifestations of the enrolled subjects. Although the data will need to be validated in a large cohort, proteomic investigations have proven to be a valid approach for a deep understanding of these neurometabolic disorders.
Role of Plasma Angiopoietin-1 and VEGF Levels as Potential Biomarkers in Chronic Central Serous Chorioretinopathy with Macular Neovascularization
Authors: Chrząszcz Michał , Pociej-Marciak Weronika , Mackiewicz Natalia , Romanowska-Dixon Bożena , Sanak Marek , Teper Sławomir , Gawęcki Maciej , Karska-Basta Izabella
Published: October 2024

To evaluate the plasma levels of angiopoietin-1 and vascular endothelial growth factor (VEGF) and their association with macular neovascularization (MNV) in patients with chronic central serous chorioretinopathy (cCSC). Correlations between plasma cytokine levels, CSC duration, and mean choroidal thickness (CT) were also investigated. Of the 59 patients with cCSC, 10 patients with MNV secondary to cCSC and 10 patients with cCSC without MNV were enrolled in the study. The control group included 15 healthy volunteers matched for age, sex, smoking status, and comorbidities. Chronic CSC was diagnosed based on typical findings on swept-source optical coherence tomography (OCT), fundus fluorescein angiography, and indocyanine green angiography. Additionally, all patients underwent OCT angiography to help detect MNV. Plasma angiopoietin-1 and VEGF levels were assessed using multiplex immunoassay. The plasma angiopoietin-1 levels differed between the 3 groups (p = 0.005). The angiopoietin-1 levels were lower in patients with cCSC with MNV than in controls (p = 0.006). There were no differences in the plasma VEGF levels between all the 3 groups (p = 0.329). The VEGF levels were negatively correlated with mean CT in cCSC patients with MNV (rho = −0.683, p = 0.042) but correlated positively with disease duration in patients with cCSC without MNV (rho = 0.886, p = 0.003). Our study confirms that MNV is a common complication of cCSC and provides new insights into the role of angiopoietin-1 in cCSC and MNV. Reduced angiopoietin-1 levels in cCSC patients, regardless of MNV status, highlight the importance of the Ang–Tie2 pathway in disease pathogenesis and may point to new therapeutic targets and future novel treatments to improve the management of these patients.
Plasma Proteomic Biomarkers in Alzheimer’s Disease and Cardiovascular Disease: A Longitudinal Study
Authors: Theeke Laurie A. , Liu Ying , Wang Silas , Luo Xingguang , Navia R. Osvaldo , Xiao Danqing , Xu Chun , Wang Kesheng ,   The Alzheimer and Disease Neuroimaging Initiative
Published: October 2024

The co-occurrence of Alzheimer’s disease (AD) and cardiovascular diseases (CVDs) in older adults highlights the necessity for the exploration of potential shared risk factors. A total of 566 adults were selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database, including 111 individuals with AD, 383 with mild cognitive impairment (MCI), and 410 with CVD. The multivariable linear mixed model (LMM) was used to investigate the associations of AD and CVD with longitudinal changes in 146 plasma proteomic biomarkers (measured at baseline and the 12-month follow-up). The LMM showed that 48 biomarkers were linked to AD and 46 to CVD (p < 0.05). Both AD and CVD were associated with longitudinal changes in 14 biomarkers (α1Micro, ApoH, β2M, BNP, complement C3, cystatin C, KIM1, NGAL, PPP, TIM1, THP, TFF3, TM, and VEGF), and both MCI and CVD were associated with 12 biomarkers (ApoD, AXL, BNP, Calcitonin, CD40, C-peptide, pM, PPP, THP, TNFR2, TTR, and VEGF), suggesting intricate connections between cognitive decline and cardiovascular health. Among these, the Tamm Horsfall Protein (THP) was associated with AD, MCI, CVD, and APOE-ε4. This study provides valuable insights into shared and distinct biological markers and mechanisms underlying AD and CVD.
Association of Granulocyte Colony-Stimulating Factor Treatment with Risk of Brain Metastasis in Advanced Stage Breast Cancer
Authors: Tai Yun-Sheng , Leung John Hang , Wang Shyh-Yau , Leung Henry W. C. , Chan Agnes L. F.
Published: October 2024

The routine use of granulocyte colony-stimulating factor (GCSF) is not recommended for the prevention or treatment of chemotherapy-induced neutropenia or febrile neutropenia because risks associated with certain types of cancers, distant organ metastases, and primary tumor growth cannot be excluded. We examined the association between GCSF use and the incidence of brain metastasis (BM), as well as BM-free survival (BMFS). This retrospective cohort study included 121 stage IV breast cancer patients without confirmed BM at the time of diagnosis and who received at least one course of systematic chemotherapy or target therapy at a tertiary teaching hospital between 1 January 2014 and 31 December 2022. The effect of GCSF use on BM was assessed with other confounding factors in Cox regression analyses. In this retrospective cohort, patients who received GCSF treatment had a significantly higher incidence of BM than those who did not (34.9% vs. 13.8%, p = 0.011). Univariate Cox regression analysis showed that GCSF use, menopause status, hormone treatment, HER2 treatment, cumulative dosage, dosage density, and neutropenia were independent risk factors for BMFS (p < 0.05). GCSF users had a higher risk of BM (adjusted HR: 2.538; 95% CI: 1.127–5.716, p = 0.025) than nonusers. BM risk was significantly associated with those with neutropenia (RR: 1.84, 95% CI: 1.21, 2.80) but not with those without neutropenia (RR: 0.59, 95% CI: 0.41–0.84, Interaction p-value < 0.05). The higher the dose density of GCSF, the higher the risk compared with those who do not use GCSF (p for trend < 0.01). These preliminary results suggest that GCSF is associated with BM in patients with stage IV breast cancer who did not have BM at initial diagnosis. Further comprehensively designed large-scale observational studies are needed to confirm our preliminary results.