bluuebunny/crossref_metadata_2025 huggingface dataset:
Sample Collection and Processing in Volatile Organic Compound Analysis for Gastrointestinal Cancers
Authors: Zheng Weiyang , Min Yiyang , Pang Ke , Wu Dong
Published: July 2024

Volatile organic compounds have drawn significant attention in recent years as a novel tool for non-invasive detection of a wide range of diseases, including gastrointestinal cancers, for which the need for effective, affordable, and non-invasive screening methods is substantial. Sample preparation is a fundamental step that greatly influences the quality of results and the feasibility of wide-range applications. This review summarizes sampling methods used in studies aiming at testing the diagnostic value of volatile organic compounds in gastrointestinal cancers, discussing in detail some of the recent advancements in automated sampling techniques. Finally, we propose some directions in which sample collection and processing can improve for VOC analysis to be popularized in clinical settings.
Assessment of the Diagnostic Efficacy of Low-Field Magnetic Resonance Imaging: A Systematic Review
Authors: Mašková Barbora , Rožánek Martin , Gajdoš Ondřej , Karnoub Evgeniia , Kamenský Vojtěch , Donin Gleb
Published: July 2024

Background: In recent years, there has been an increasing effort to take advantage of the potential use of low magnetic induction devices with less than 1 T, referred to as Low-Field MRI (LF MRI). LF MRI systems were used, especially in the early days of magnetic resonance technology. Over time, magnetic induction values of 1.5 and 3 T have become the standard for clinical devices, mainly because LF MRI systems were suffering from significantly lower quality of the images, e.g., signal–noise ratio. In recent years, due to advances in image processing with artificial intelligence, there has been an increasing effort to take advantage of the potential use of LF MRI with induction of less than 1 T. This overview article focuses on the analysis of the evidence concerning the diagnostic efficacy of modern LF MRI systems and the clinical comparison of LF MRI with 1.5 T systems in imaging the nervous system, musculoskeletal system, and organs of the chest, abdomen, and pelvis. Methodology: A systematic literature review of MEDLINE, PubMed, Scopus, Web of Science, and CENTRAL databases for the period 2018–2023 was performed according to the recommended PRISMA protocol. Data were analysed to identify studies comparing the accuracy, reliability and diagnostic performance of LF MRI technology compared to available 1.5 T MRI. RESULTS: A total of 1275 publications were retrieved from the selected databases. Only two articles meeting all predefined inclusion criteria were selected for detailed assessment. Conclusions: A limited number of robust studies on the accuracy and diagnostic performance of LF MRI compared with 1.5 T MRI was available. The current evidence is not sufficient to draw any definitive insights. More scientific research is needed to make informed conclusions regarding the effectiveness of LF MRI technology.
Impact of Obesity on Target Organ Damage in Patients with Metabolic Syndrome
Authors: Kostić Svetlana , Tasić Ivan , Stojanović Nikola , Rakočević Jelena , Deljanin Ilić Marina , Đorđević Dragan , Stoičkov Viktor , Tasić Isidora
Published: July 2024

Background: Metabolic syndrome (MetSy) is characterized by the presence of obesity, hypertension, altered glucose metabolism, and/or increased non-HDL cholesterol. This study aimed at elucidating the association between obesity with subclinical target organ damage and biochemical parameters included in MetSy pathogenesis. Methods: This study included 130 apparently healthy subjects. Plasma levels of oxidized-LDL-cholesterol (ox-LDL-Chol), nitric oxide (NO) metabolites, inducible NO synthase (iNOS), and plasminogen activator inhibitor-1 (PAI-1) were measured. Non-invasive assessment of liver disease included fatty liver index (FLI) and nonalcoholic fatty liver disease (NAFLD) fibrosis score. Carotid artery plaques were assessed by color Doppler imaging. Results: A total of 65 patients with MetSy were included in the MetSy group, while 65 without MetSy entered the control group. Ox-LDL-Chol levels were higher in the MetSy group compared to the control group, regardless of obesity. Levels of NO metabolites were similar in obese and non-obese patients with MetSy, but lower than in the control group. Obese patients with MetSy had higher iNOS values compared to non-obese ones, with similar PAI-1 levels. NAFLD was present in all obese patients with MetSy compared to 70% of non-obese subjects. Hypertension, higher values of waist-to-hip ratio, PAI-1, and remnant cholesterol were associated with NAFLD. Finding of asymptomatic carotid plaques was associated with patients’ age, hypertension, and higher waist-to-hip ratio. Conclusion: MetSy and obesity significantly alter the levels of NO metabolites, iNOS, ox-LDL-Chol, and PAI-1. High prevalence of NAFLD in obese patients with MetSy requires active screening and treatment of potential risk factors.
Influencing Factors Regarding the Severity of Peri-Implantitis and Peri-Implant Mucositis
Authors: Benedek Csilla , Kerekes-Máthé Bernadette , Bereșescu Liana , Buka Imola Zsuzsa , Bardocz-Veres Zsuzsanna , Geréb Ildikó , Mártha Krisztina Ildikó , Jánosi Kinga Mária
Published: July 2024

The scientific literature is increasingly focused on peri-implant mucositis and peri-implantitis, which are biological outcomes of dental implant treatment. Background/Objectives: The present study aimed to evaluate the two most critical complications of dental implantation, peri-implant mucositis and peri-implantitis, through the prism of different influencing factors. Methods: We followed 40 patients, with a total number of 92 dental implants, divided into three age groups: under 35 years, between 35 and 55 years, and older than 55 years. Patients were also divided into groups according to the time since implant placement: 1–3 years, 4–7 years, and more than 7 years. The patients were examined, and periodontal pocket depth, peri-implant pocket depth, Löe–Silness gingival index, mucosal thickness, and keratinized mucosal width were recorded; bone resorption was measured on radiographs using a 2D image analysis method; and a questionnaire was also conducted. Results: Bone resorption was highest in the 35–55 age group (3.09 ± 0.04 mm) and for implants placed 4–7 years ago (3.39 ± 0.12 mm). Females had a mean bone resorption of 3.4 ± 0.15 mm and males of 2.45 ± 0.07 mm. Statistically, there was a significant difference only in the Löe–Silness index: the 35–55 age group had the highest values (p = 0.04). Conclusions: There were no statistically significant differences between the time since implant placement and the degree of bone resorption, nor between sexes. Peri-implant inflammation may occur at any age, regardless of the lifetime of the implants.
Surgical Approach and Considerations for Compressive Thoracic Intraspinal Osteochondroma in Familial Hereditary Multiple Exostosis
Authors: Toader Corneliu , Corlatescu Antonio-Daniel , Dobrin Nicolaie , Covache-Busuioc Razvan-Adrian , Costin Horia Petre , Ciurea Alexandru Vlad
Published: July 2024

Introduction: Hereditary multiple exostosis or hereditary multiple osteochondromas is a very rare clinical condition. Usually, these lesions tend to occur in the pediatric population, remaining silent until adulthood. Moreover, current studies show a small prevalence in the male population. The osteochondromas usually occur at sites with great bone activity and turnover, such as the diaphysis or metaphyseal plates (especially in children) of long bones. Their appearance in short bones (such as vertebrae) is very rare. Case presentation: We present a case of familial HME in a 53-year-old female patient with a very uncommon clinical description of the disease. The patient presented at our hospital with Frankel D-type paraparesis, with multiple osteochondromas (located at the right humerus, bilateral femurs, right tibia, and hip joints, besides the numerous ones over the spinal column) and urinary incontinence. She was suffering from bilateral coxarthrosis and gonarthrosis, which limited severely the range of her movements. An early menopause status was brought into consideration by the patient, being installed circa 15 years before, at 38 years old. She was currently in treatment with bisphosphonates for her concomitant osteoporosis. Conclusions: Despite the relatively rare nature of the disease, it may be an important concern for the patient’s quality of life. Intraspinal processes may trigger paraparesis or other neurological statuses, which may require a surgical treatment. The nature of the lesions is usually benign and do not require further radio- or chemotherapy.
Evaluating the Effectiveness of the Nudge Theory in Improving the Oral Self-Care of Schoolchildren with Refugee and Immigrant Backgrounds in Mashhad, Iran
Authors: Banihashem Rad Seyed Ahmad , Esteves-Oliveira Marcella , Kazemian Ali , Azami Negar , Khorshid Mehrzad , Sohrabi Aylin , Attaran Khorasani Amir , Campus Guglielmo
Published: July 2024

Nudge theory proposes using subtle interventions to encourage individuals to make better decisions. The aim of this study was to evaluate the effectiveness of the Nudge theory in plaque control and assess caries experience among third-grade primary schoolchildren with refugee and immigrant backgrounds in Mashhad, Iran. Moreover, Afghan and Iranian schoolchildren were compared to assess differences in oral health outcomes. A quasi-experimental field trial was conducted in three public primary schools, comprising 309 participants approximately 9 years old. Interventions were randomly assigned to three schools: School I Messages based on Social Norms (MSN), School II Messages based on Fear of Negative Outcome (MFNO), and School III control group (C). MSN and MFNO received customized motivational video clips at baseline, while C only received Oral hygiene instruction (OHI). All participants received OHI, a brush, and toothpaste. Baseline plaque index (PI) and caries experience in primary and permanent dentition (dmft/DMFT) were recorded. PI was reassessed at two weeks, two months, and six months post-intervention. All data were subjected to statistical analysis. The mean PI decreased significantly in all three groups at the two-week follow-up (p < 0.01). The PI improvements declined over a six-month follow-up period in all groups, and the mean PI difference after six months compared to the pre-intervention was significant only in MSN and MFNO (p < 0.01), while C reverted almost to the pre-study level. Schoolchildren with at least one filled tooth or Iranian nationality showed a greater PI reduction (p < 0.01, p = 0.05). The overall mean ± SD dmft and DMFT were 4.24 ± 2.11 and 1.70 ± 1.24, respectively. Among all the examined participants, 32 (10.40%) individuals were caries-free. The mean dmft was statistically significantly higher in Afghan children than in Iranians (p = 0.01). MSN was more effective on PI reduction in the short term, while MFNO was more long-lasting. Using the Nudge theory via visual aids was more effective in motivating children to perform better oral self-care than solely traditional OHI.
A Live Detecting System for Strain Clamps of Transmission Lines Based on Dual UAVs’ Cooperation
Authors: Jia Zhiwei , Ouyang Yongkang , Feng Chao , Fan Shaosheng , Liu Zheng , Sun Chenhao
Published: July 2024

Strain clamps are critical components in high-voltage overhead transmission lines, and detection of their defects becomes an important part of regular inspection of transmission lines. A dual UAV (unmanned aerial vehicle) system was proposed to detect strain clamps in multiple split-phase conductors. The main UAV was equipped with a digital radiography (DR) imaging device, a mechanical arm, and an edge intelligence module with visual sensors. The slave UAV was equipped with a digital imaging board and visual sensors. A workflow was proposed for this dual UAV system. Target detection and distance detection of the strain clamps, as well as detection of the defects of strain clamps in DR images, are the main procedures of this workflow. To satisfy the demands of UAV-borne and real-time deployment, the improved YOLOv8-TR algorithm was proposed for the detection of strain clamps (the mAP@50 was 60.9%), and the KD-ResRPA algorithm is used for detecting defects in DR images (the average AUCROC of the three datasets was 82.7%). Field experiments validated the suitability of our dual UAV-based system for charged detection of strain clamps in double split-phase conductors, demonstrating its potential for practical application in live detecting systems.
Construction Environment Noise Suppression of Ground-Penetrating Radar Signals Based on an RG-DMSA Neural Network
Authors: Wang Qing , Chen Yisheng , Shen Yupeng , Li Meng
Published: July 2024

Ground-penetrating radar (GPR) is often used to detect targets in a construction environment. Due to the different construction environments, the noise exhibits different characteristics on the GPR signal. When the noise is widely distributed on the GPR signal, and its spectrum and the spectrum of the active signal are aliased, it is difficult to separate and suppress the noise by traditional filtering methods. In this paper, we propose a deep learning GPR image noise suppression method based on a recursive guided and dual multi-scale self-attention mechanism neural network (RG-DMSA-NN), which uses a recursive guidance module and a dual multi-scale self-attention mechanism module to improve the feature extraction ability of the image and enhance the robustness and generalization ability in image noise suppression. Through the application of noise suppression on the synthesized test data and the GPR data actually collected by the Macao Science and Technology Museum, the advantages of this method over the traditional filtering, DnCNN and UNet noise suppression methods are demonstrated.
NSGA-III-Based Production Scheduling Optimization Algorithm for Pressure Sensor Calibration Workshop
Authors: Zou Ying , Chen Zuguo , Zhu Shangyang , Li Yingcong
Published: July 2024

Although the NSGA-III algorithm is able to find the global optimal solution and has a good effect on the workshop scheduling optimization, the limitations in population diversity, convergence ability and local optimal solutions make it not applicable to certain situations. Thus, an improved NSGA-III workshop scheduling optimization algorithm is proposed in this work. It aims to address these limitations of the NSGA-III algorithm in processing workshop scheduling optimization. To solve the problem of individual elimination in the traditional NSGA-III algorithm, chaotic mapping is introduced in the improved NSGA-III algorithm to generate new offspring individuals and add the selected winning individuals to the offspring population as the parent population for the next iteration. The proposed algorithm was applied to a pressure sensor calibration workshop. A comparison with the traditional NSGA-III algorithm was conducted through a simulation analysis. The results show that the proposed algorithm can obtain a better convergence performance, improve the optimization ability and avoid falling into local optimal solutions.
Optimizing Artificial Neural Networks to Minimize Arithmetic Errors in Stochastic Computing Implementations
Authors: Frasser Christiam F. , Morán Alejandro , Canals Vincent , Font Joan , Isern Eugeni , Roca Miquel , Rosselló Josep L.
Published: July 2024

Deploying modern neural networks on resource-constrained edge devices necessitates a series of optimizations to ready them for production. These optimizations typically involve pruning, quantization, and fixed-point conversion to compress the model size and enhance energy efficiency. While these optimizations are generally adequate for most edge devices, there exists potential for further improving the energy efficiency by leveraging special-purpose hardware and unconventional computing paradigms. In this study, we explore stochastic computing neural networks and their impact on quantization and overall performance concerning weight distributions. When arithmetic operations such as addition and multiplication are executed by stochastic computing hardware, the arithmetic error may significantly increase, leading to a diminished overall accuracy. To bridge the accuracy gap between a fixed-point model and its stochastic computing implementation, we propose a novel approximate arithmetic-aware training method. We validate the efficacy of our approach by implementing the LeNet-5 convolutional neural network on an FPGA. Our experimental results reveal a negligible accuracy degradation of merely 0.01% compared with the floating-point counterpart, while achieving a substantial 27× speedup and 33× enhancement in energy efficiency compared with other FPGA implementations. Additionally, the proposed method enhances the likelihood of selecting optimal LFSR seeds for stochastic computing systems.
Incremental SFM 3D Reconstruction Based on Deep Learning
Authors: Liu Lei , Wang Congzheng , Feng Chuncheng , Gong Wanqi , Zhang Lingyi , Liao Libin , Feng Chang
Published: July 2024

In recent years, with the rapid development of unmanned aerial vehicle (UAV) technology, multi-view 3D reconstruction has once again become a hot spot in computer vision. Incremental Structure From Motion (SFM) is currently the most prevalent reconstruction pipeline, but it still faces challenges in reconstruction efficiency, accuracy, and feature matching. In this paper, we use deep learning algorithms for feature matching to obtain more accurate matching point pairs. Moreover, we adopted the improved Gauss–Newton (GN) method, which not only avoids numerical divergence but also accelerates the speed of bundle adjustment (BA). Then, the sparse point cloud reconstructed by SFM and the original image are used as the input of the depth estimation network to predict the depth map of each image. Finally, the depth map is fused to complete the reconstruction of dense point clouds. After experimental verification, the reconstructed dense point clouds have rich details and clear textures, and the integrity, overall accuracy, and reconstruction efficiency of the point clouds have been improved.
Maintain Power Transmission and Efficiency Tracking Using Variable Capacitors for Dynamic WPT Systems
Authors: Zhu Junda , Barmada Sami , Musolino Antonino , Sani Luca
Published: July 2024

This study introduces a new method for real-time efficiency tracking and stable output power of Dynamic Wireless Power Transfer (DWPT) systems using variable capacitors. A preliminary detailed discussion and an analysis of the DWPT system are carried out to show how the system can optimize power transmission and efficiency when the relative positions of transmitter and receiver change using a dynamic real-time control of the variable capacitors belonging to the compensation networks. This paper shows a detailed model of the DWPT system, including magnetic coupling analysis, circuit dynamics analysis, and efficiency characteristics analysis, in order to modify the control input values as needed. By utilizing a group optimization strategy, the transmission efficiency can be quickly maximized without using a position detection module. Simulation results demonstrate the effectiveness of the proposed method under various dynamic conditions, achieving significant improvements in energy efficiency and transmission reliability of the DWPT system. This research provides a powerful method to increase the overall performances of DWPT systems, which will help the development of future wireless charging technology.
Day/Night Power Generator Station: A New Power Generation Approach for Lunar and Martian Space Exploration
Authors: Arciuolo Thomas F. , Faezipour Miad , Xiong Xingguo
Published: July 2024

In the not-too-distant future, humans will return to the Moon and step foot for the first time on Mars. Eventually, humanity will colonize these celestial bodies, where living and working will be commonplace. Energy is fundamental to all life. The energy that people use to sustain themselves on Earth, and in particular on these other worlds, is the integrated, safe production of electrical power, day and night. This paper proposes a radically new solution to this problem: Solar Tracking by day and a Solar Rechargeable Calcium Oxide Chemical Thermoelectric Reactor by night. Called the “Robotic End Effector for Lunar and Martian Geological Exploration of Space” (REEGES) Day/Night Power Generator Station, this form of thermoelectric power generation is mathematically modeled, simulation is performed, and a concept model design is demonstrated in this paper. The results of the presented simulation show the maximum total system output capability is 9.89 V, 6.66 A, and 65.9 W, with an operating time of up to 12 h, through a scalable design. This research provides instructions to the Space Research Community on a complete and novel development methodology for creating fully customized, configurable, safe, and reliable solar/thermoelectric day/night power generators, specifically meant for use on the Moon and Mars, using the Proportional-Integral-Derivative++ (PID++) Humanoid Motion Control Algorithm for its operation on a computationally lightweight microcontroller.
Evaluation of Vinegar Bottles’ Environmental Footprint Using the Life Cycle Approach: A Preliminary Analysis
Authors: Karvounidi Maria D. , Alexandropoulou Alexandra P. , Fousteris Andreas E. , Georgakellos Dimitrios A.
Published: July 2024

This paper provides a comprehensive life cycle assessment (LCA) comparing glass and PET vinegar bottles in the Greek market to determine the more eco-friendly option. The analysis covers a 500 mL glass bottle and a 390 mL PET bottle, examining eleven subsystems from raw material acquisition to recycling. The initial findings indicate that glass bottles require more resources and have a greater environmental impact than PET bottles across several factors, despite the traditional perception of glass as being environmentally superior. This difference is partly due to the heavier weight of glass bottles than PET bottles. The results highlight the complexity of LCA studies. While LCA methodology has limitations, such as data collection quality, system boundary definitions, assessment challenges, and costs, it provides valuable indicators. This study underscores the need for more extensive data collection and systematic LCA application. By integrating LCA methodology through pilot projects and developing internal expertise, companies can make more accurate assessments, leading to sustainable industrial practices and growth.
Estimation of Leaf Area Index for Dendrocalamus giganteus Based on Multi-Source Remote Sensing Data
Authors: Qin Zhen , Yang Huanfen , Shu Qingtai , Yu Jinge , Xu Li , Wang Mingxing , Xia Cuifen , Duan Dandan
Published: July 2024

The Leaf Area Index (LAI) plays a crucial role in assessing the health of forest ecosystems. This study utilized ICESat-2/ATLAS as the primary information source, integrating 51 measured sample datasets, and employed the Sequential Gaussian Conditional Simulation (SGCS) method to derive surface grid information for the study area. The backscattering coefficient and texture feature factor from Sentinel-1, as well as the spectral band and vegetation index factors from Sentinel-2, were integrated. The random forest (RF), gradient-boosted regression tree (GBRT) model, and K-nearest neighbor (KNN) method were employed to construct the LAI estimation model. The optimal model, RF, was selected to conduct accuracy analysis of various remote sensing data combinations. The spatial distribution map of Dendrocalamus giganteus in Xinping County was then generated using the optimal combination model. The findings reveal the following: (1) Four key parameters—optimal fitted segmented terrain height, interpolated terrain surface height, absolute mean canopy height, and solar elevation angle—are significantly correlated. (2) The RF model constructed using a combination of ICESat-2/ATLAS, Sentinel-1, and Sentinel-2 data achieved optimal accuracy, with a coefficient of determination (R2) of 0.904, root mean square error (RMSE) of 0.384, mean absolute error (MAE) of 0.319, overall estimation accuracy (P1) of 88.96%, and relative root mean square error (RRMSE) of 11.04%. (3) The accuracy of LAI estimation using a combination of ICESat-2/ATLAS, Sentinel-1, and Sentinel-2 remote sensing data showed slight improvement compared to using either ICESat-2/ATLAS data combined with Sentinel-1 or Sentinel-2 data alone, with a significant enhancement in LAI estimation accuracy compared to using ICESat-2/ATLAS data alone. (4) LAI values in the study area ranged mainly from 2.29 to 2.51, averaging 2.4. Research indicates that employing ICESat-2/ATLAS spaceborne LiDAR data for regional-scale LAI estimation presents clear advantages. Incorporating SAR data and optical imagery and utilizing diverse data types for complementary information significantly enhances the accuracy of LAI estimation, demonstrating the feasibility of LAI inversion with multi-source remote sensing data. This approach offers an innovative framework for utilizing multi-source remote sensing data for regional-scale LAI inversion, demonstrates a methodology for integrating various remote sensing data, and serves as a reference for low-cost high-precision regional-scale LAI estimation.
Understanding the Causes of Lumpfish (Cyclopterus lumpus) Mortality in Norwegian Hatcheries: Challenges and Opportunities
Authors: Boissonnot Lauris , Karlsen Camilla , Jonassen Thor Magne , Stensby-Skjærvik Silje , Storsul Torolf , Imsland Albert Kjartan Dagbjartarson
Published: July 2024

Lumpfish are broadly used as biological sea lice removers in Norwegian salmon farming and are mostly produced in hatcheries. To date, there is little systematic documentation on the mortality causes of lumpfish in hatcheries. In the current study, data from 12 selected fish groups from four hatcheries in Norway were collected to understand the challenges and opportunities related to the categorization of mortality causes of lumpfish in hatcheries. This study indicated that a high proportion of lumpfish mortality was categorized by the hatcheries as unspecified. When specified, mortality was primarily assessed as due to fin damage. Our analyses showed that mortality categorized as fin damage correlated with the detection of infectious agents in dead fish, suggesting that mortality was due to infections rather than fin damage. It was not possible to conclude whether infection with pathogens present in the environment caused fin damage or if injuries from aggression were a gateway for pathogens. Furthermore, due to the lack of information regarding production conditions, it was not possible to assess risk factors causing eventual aggression or the presence of pathogens. This study revealed that mortality causality—the chain of events leading to death—is mainly unclear in lumpfish hatcheries because (1) mortality categorization does not focus on underlying causes and (2) there is little documentation of production conditions, making it very difficult to relate mortality rates to external factors. The present findings highlight that there are gaps in the registrations made by hatcheries and that there is an urgent need to implement standardized monitoring protocols for lumpfish hatcheries. This will help identify the causes of mortality and, therefore, allow for the implementation of proper measures that will ensure better survival.
Recent Advances in the Distribution, Chemical Composition, Health Benefits, and Application of the Fruit of Siraitia grosvenorii
Authors: Guo Qihan , Shi Minke , Sarengaowa  , Xiao Zhewen , Xiao Ying , Feng Ke
Published: July 2024

The fruits of Siraitia grosvenorii (S. grosvenorii) have attracted a lot of scientific interest as part of the current healthy diet. S. grosvenorii has diverse health-promoting effects, including antioxidant, anti-inflammatory, antimicrobial, respiratory modulation, metabolic modulation, antitumor, and neuroprotective effects, as well as gastrointestinal function modulation. As a plant resource, S. grosvenorii has broad application prospects, which promotes the development of the horticultural industry. Moreover, Mogroside has attracted much attention as an important active ingredient of S. grosvenorii. This review provides an in-depth exploration of the distribution, chemical composition, health benefits, and application of S. grosvenorii, particularly Mogroside. This comprehensive exploration highlights the important therapeutic potential of S. grosvenorii, prompting further research into its applications. As value-added functional ingredients, S. grosvenorii and its constituents have significant potential for disease prevention and are widely used in the development of food and health supplements.
Empowering Nurse Health Education: Linguistic and Cultural Validation of the Nurse Health Education Competence Instrument (NHECI) in the Italian Context
Authors: Notarnicola Ippolito , Duka Blerina , Lommi Marzia , Prendi Emanuela , Cristofori Elena , Mele Tiziana , Ivziku Dhurata , Rocco Gennaro , Stievano Alessandro
Published: July 2024

Background: Nurses worldwide are acknowledged for their role in health education across various settings. However, doubts often arise regarding their competence in this domain. This study aims to validate the Nurse Health Education Competence Instrument (NHECI) linguistically and culturally in the Italian context. Methods: Following Beaton et al.’s (2000) guidelines, we conducted cross-cultural adaptation to develop the Italian version of the questionnaire. Results: The Italian version demonstrates a good internal consistency and stability, making it suitable for assessing nursing students during clinical internships and practicing nurses. The availability of Italian tools promotes healthcare research, ensuring patient-centric care. Conclusions: The validity and reliability of the Italian version of the instrument for assessing health education competencies, essential for self-assessment among health education nurses, are established.
An Evaluation of the Effect of Fertilizer Rate on Tree Growth and the Detection of Nutrient Stress in Different Irrigation Systems
Authors: Neupane Krishna , Witcher Anthony , Baysal-Gurel Fulya
Published: July 2024

Early season monitoring of nutrient stress is important in red maple (Acer rubrum L.) and flowering dogwood (Cornus florida L.) to optimize management practices and ensure healthy crop production in containers. Two different irrigation systems (drip and overhead irrigation) were used in this study. Two rates (low and high) of controlled-release fertilizer were used with no fertilizer as a control treatment. Data were recorded for plant height, stem diameter, substrate pH and electrical conductivity (EC), chlorophyll content, normalized difference vegetation index (NDVI), visual observation of plant quality, and leaf nutrient content. The results of this study showed that the increase in plant height and stem diameter was greater among the fertilized maple tree, whereas no differences were observed in the flowering dogwoods for an increase in plant height. NDVI was greater for drip irrigation for both fertilizer rates in both red maples and flowering dogwoods. A positive correlation of 73% to 83% was observed for red maples and 79% to 83% was observed for flowering dogwoods between handheld NDVI and unmanned aerial vehicle-mounted NDVI sensors. In red maple, a high fertilizer rate resulted in greater substrate pH, whereas in flowering dogwood, no differences were observed. Varied responses were observed among the treatments for nutrient content; however, both rates of fertilizer application were sufficient for both tree species. Drip-irrigated red maples had higher nitrogen and phosphorous content, whereas nitrogen content was higher in both irrigation systems in flowering dogwoods. This study provides useful insights into understanding the effect of nutrient stress on tree growth and the application of sensing technology for the monitoring and early detection of nutrient stress in container-grown nursery crops.
Maize Inbred Leaf and Stalk Tissue Resistance to the Pathogen Fusarium graminearum Can Influence Control Efficacy of Beauveria bassiana towards European Corn Borers and Fall Armyworms
Authors: Dowd Patrick F. , Johnson Eric T.
Published: July 2024

Plant resistance mechanisms to pathogens can lead to a lowered efficacy of insect microbial biocontrol agents, but the influence of plant variety has been little-studied. Leaves and stalks from twelve maize (Zea mays L.) inbreds with different plant pathogen resistance were evaluated for their influence on the efficacy of Beauveria bassiana (Bals.-Criv.) Vuill. against European corn borers (Ostrinia nubilalis (Hübner)). For leaf assays with first instar caterpillars, mortality on day 2 ranged from an inbred-dependent high of 76.1% to a low of 10.0% for European corn borers in leaf assays. For stalk assays with third instar caterpillars, mortality on day 4 ranged from an inbred dependent high of 83.0% and 75.0% to a low of 0.0% and 8.3% for fall armyworms and European corn borers, respectively. Lesion size ratings due to Fusarium graminearum (Schwabe) applied to tissues were often significantly correlated with the mortality levels of B. bassiana-treated caterpillars that fed on leaves and stalks. This study suggests that the influence of plant varieties on the efficacy of insect microbial pathogens can vary depending on the insect species involved and the plant tissue, and this is worth considering when new plant varieties and biocontrol strains are being developed whenever practical.
SiamSMN: Siamese Cross-Modality Fusion Network for Object Tracking
Authors: Han Shuo , Gao Lisha , Wu Yue , Wei Tian , Wang Manyu , Cheng Xu
Published: July 2024

The existing Siamese trackers have achieved increasingly successful results in visual object tracking. However, the interactive fusion among multi-layer similarity maps after cross-correlation has not been fully studied in previous Siamese network-based methods. To address this issue, we propose a novel Siamese network for visual object tracking, named SiamSMN, which consists of a feature extraction network, a multi-scale fusion module, and a prediction head. First, the feature extraction network is used to extract the features of the template image and the search image, which is calculated by a depth-wise cross-correlation operation to produce multiple similarity feature maps. Second, we propose an effective multi-scale fusion module that can extract global context information for object search and learn the interdependencies between multi-level similarity maps. In addition, to further improve tracking accuracy, we design a learnable prediction head module to generate a boundary point for each side based on the coarse bounding box, which can solve the problem of inconsistent classification and regression during the tracking. Extensive experiments on four public benchmarks demonstrate that the proposed tracker has a competitive performance among other state-of-the-art trackers.
Inertial Methodology for the Monitoring of Structures in Motion Caused by Seismic Vibrations
Authors: Rodríguez-Quiñonez Julio C. , Valdez-Rodríguez Jorge Alejandro , Castro-Toscano Moises J. , Flores-Fuentes Wendy , Sergiyenko Oleg
Published: July 2024

This paper presents a non-invasive methodology for structural health monitoring (SHM) integrated with inertial sensors and signal conditioning techniques. The proposal uses the signal of an IMU (inertial measurement unit) tri-axial accelerometer and gyroscope to continuously measure the displacements of a structure in motion due to seismic vibrations. A system, called the “Inertial Displacement Monitoring System” or “IDMS”, is implemented to attenuate the signal error of the IMU with methodologies such as a Kalman filter to diminish the influence of white noise, a Chebyshev filter to isolate the frequency values of a seismic motion, and a correction algorithm called zero velocity observation update (ZVOB) to detect seismic vibrations and diminish the influence of external perturbances. As a result, the IDMS is a methodology developed to measure displacements when a structure is in motion due to seismic vibration and provides information to detect failures opportunely.
Predatory Potential of Nymphal Odonates on Aedes aegypti Developing in Freshwater and Brackish Water Habitats
Authors: Arthiyan Sivasingham , Eswaramohan Thampoe , Hemphill Andrew , Surendran Sinnathamby Noble
Published: July 2024

Aedes aegypti, the primary vector of dengue, undergoes preimaginal development in brackish water (BW). However, dengue vector control exclusively targets freshwater (FW) habitats. The present study evaluated the predatory efficacy of nymphal odonates that can develop in both FW and BW. Nymphs of three damselfly and three dragonfly species from FW and BW habitats were identified and acclimatized to FW (<0.5 gL−1 salt) and BW (10 gL−1 salt) mesocosm conditions. The experiment was repeated nine times with nine different individual predators per species under both salinity conditions. One hundred L3 Ae. aegypti from FW and BW laboratory colonies were introduced to determine the predatory rate (PR) and clearance rate (CR) after 24, 48, and 72 h, and one hundred L3 larvae were introduced every 24 h. The dragonfly nymph Hydrobasileus croceus and the damselfly nymph Paracercion hieroglyphicum showed the highest PR and CR under both rearing conditions at all times. However, damselfly and dragonfly nymphs significantly (p < 0.05) differed in their CR under both FW and BW conditions. Thus, all six odonate species have predatory potential and this suggests that they could be used as biological control agents to eliminate preimaginal stages of Ae. aegypti developing in both FW and BW habitats.
Systematic Review of Executive Function Stimulation Methods in the ADHD Population
Authors: Ramos-Galarza Carlos , Brito Deyaneira , Rodríguez Brayan , Guerrero Brenda , Cruz-Cárdenas Jorge , Bolaños-Pasquel Mónica
Published: July 2024

Background/Objectives: Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by elevated motor activity, impulsivity, and attention deficit. Approximately 5% of the population suffers from this disorder. Among the key explanations of ADHD, executive functions play an important role in understanding the symptomatology present in this disorder and in determining the main treatment strategies for affected patients. We present a systematic review that seeks to identify the treatment methods developed to support executive functions in individuals with ADHD. Methods: Articles were analyzed in the SCOPUS, PUBMED, and Science Direct databases. Initially, 739 articles were found. After applying inclusion and exclusion criteria, 30 articles remained and were included in the data extraction process. Results: Among the primary treatments identified, 14 studies propose psychological training for executive functions, 9 studies recommend medication, 5 studies suggest digital interventions, and 1 study advocates for sports as beneficial for executive functions. Conclusions: The data are discussed around the need to develop new proposals to enhance the executive functions of individuals with ADHD, thereby improving their performance in educational, personal, social, and family activities impacted by this disorder.
Surgical Treatment of Enlarged Cervical Leiomyoma with Concomitant Uterine Prolapse: A Case Report
Authors: Song Ah-Yun , Bae Ju-Young , Park Jin-Sol , Kim Tae-Hyun
Published: July 2024

This case report details the surgical treatment of a rare enlarged cervical leiomyoma with uterine prolapse in a 48-year-old woman. She presented to Konyang University Hospital with a palpable vaginal mass, lower abdominal pain, and urinary incontinence. Despite being nulliparous, she had severe chronic constipation due to schizophrenia medication and lived in a health care facility separated from her family. Pelvic examination revealed stage 3 uterine prolapse with a large necrotic cervical leiomyoma. A robot-assisted vaginal hysterectomy followed by sacrocolpopexy was performed using the Da Vinci Xi Surgical System. Histopathology confirmed cervical leiomyoma with squamous metaplasia. At a three-month follow-up, there were no complications, pelvic anatomy was restored, and urinary incontinence improved. Although the patient had a systemic infection due to the necrotic cervical leiomyoma, raising concerns about the increased risk of infection associated with mesh use, she was high-risk for pelvic organ prolapse (POP) recurrence due to her medical history and living situation. Therefore, she underwent concurrent surgeries with pre- and postoperative antibiotic treatment, and recovered without complications. Given that the risk of developing POP increases after a hysterectomy, in high-risk patients, as demonstrated in this case, the concurrent surgical correction of POP may be an effective strategy.
The Versatile Vascularized Second Metacarpal-Base Bone Graft
Authors: Christen Thierry , Cottier Célina , Durand Sébastien
Published: July 2024

Vascularized bone grafts of the wrist and hand help to achieve bone union in various clinical settings such as bone fusion or nonunion treatment. Among the multiple possible donor sites, the base of the second metacarpal is convenient because of its relatively straightforward harvesting, lack of impairment of the hand vascularization, sufficient bone supply for small joint fusion and phalanx or metacarpal nonunion management. The flap is versatile as it can reach any carpal and metacarpal bone as well as the proximal phalanx of all fingers. The arc of rotation of the flap depends on which side of the dorsal intercarpal arch it is based, either radially or ulnarly. It can also be pedicled distally by a retrograde flow through the second dorsal metacarpal artery. The robust vascularization of the flap allows for reliable healing. We present five new indications in various clinical settings that illustrate the versatility of the arc of rotation of the flap.
Impact of Malnutrition on the Outcomes in Patients Admitted with Heart Failure
Authors: Bansal Nahush , Alharbi Abdulmajeed , Shah Momin , Altorok Ibrahim , Assaly Ragheb , Altorok Nezam
Published: July 2024

Background: Heart failure, a major public health concern, significantly contributes to hospital admissions. This study evaluates the impact of malnutrition on both patient and hospital outcomes in heart failure admissions, with a specific focus on variations in outcomes based on the severity of malnutrition. Methods: Utilizing the National Inpatient Sample (NIS) database, this retrospective cohort study included adult patients admitted with a principal diagnosis of heart failure. Malnutrition was identified using the well-validated ICD 10 codes. We compared outcomes between patients with and without malnutrition, focusing on mortality, length of stay (LOS), hospital charges, cardiac arrest, and cardiogenic shock. Results: Out of 1,110,085 heart failure patients, 36,522 (3.29%) were malnourished. Malnourished patients exhibited significantly higher adjusted in-hospital mortality rates (aOR 3.32; 95% CI 3.03–3.64), longer LOS (mean increase of 4.67 days; p < 0.001), and higher hospital charges (mean increase of USD 77,416.9; p < 0.01). Increased rates of cardiac arrest (aOR 2.39; 95% CI 1.99–2.86; p < 0.001) and cardiogenic shock (aOR 3.74; 95% CI 3.40–4.12; p < 0.001) were also noted in malnourished patients. Severely malnourished patients faced worse outcomes compared to those with mild to moderate malnutrition. Conclusions: Heart failure patients with malnutrition experience higher mortality rates, longer hospital stays, increased hospitalization charges, and greater complication rates, including cardiac arrest and cardiogenic shock, compared to non-malnourished patients. Outcomes deteriorate with the increasing severity of malnutrition. Timely and individualized nutritional interventions may significantly improve outcomes for heart failure admissions.
Case Series: Fibula Free Flap with Bone Allograft as the Gold Standard in Lower Limb-Salvage Surgery for Adolescent Patients with Primary Bone Tumors Located within Tibial Diaphysis: Technical Modifications and Short-Term Follow-Up
Authors: Opyrchał Jakub , Bula Daniel , Dowgierd Krzysztof , Pachuta Bartosz , Krakowczyk Dominika , Raciborska Anna , Krakowczyk Łukasz
Published: July 2024

Background: Primary malignant bone tumors are most commonly associated with mutilating surgical procedures that can significantly disturb the motor development of a young patient and are frequently affiliated with major postoperative complications. Unfortunately, despite available autologous tissue donor sites, artificial materials are still most commonly used for the reconstruction of post-resection defects. Reconstructive microsurgery is increasingly recognized as an effective method of functional reconstruction, creating the possibility of performing limb-sparing surgery (LSS) with significant limitation of major postoperative complications at the same time. Methods: The study group consisted of 9 pediatric patients diagnosed with primary malignant bone tumor in the limb location. In order to perform microvascular reconstruction, 9 free fibula flaps were used in combination with a bone allograft (Capanna method). The functional outcome of the reconstruction was assessed on the basis of the MSTS (Musculoskeletal Tumor Society Scoring System) scale. Results: The presented analysis proves the effectiveness of this reconstructive procedure and the possibility of performing LSS with reasonable functional outcomes after appropriate patient qualification. In this study, all limbs included were spared. In all cases, the R0 surgical margins were achieved and no reports of local recurrences were reported during the follow-up. The average score on the MSTS scale was 27/30 points. Conclusions: Microvascular reconstructive surgery is an individually personalized and highly effective method of treating patients with primary bone tumors in the limb location and provides satisfactory functional outcomes.
Optogenetics and Targeted Gene Therapy for Retinal Diseases: Unravelling the Fundamentals, Applications, and Future Perspectives
Authors: Kulbay Merve , Tuli Nicolas , Akdag Arjin , Kahn Ali Shigufa , Qian Cynthia X.
Published: July 2024

With a common aim of restoring physiological function of defective cells, optogenetics and targeted gene therapies have shown great clinical potential and novelty in the branch of personalized medicine and inherited retinal diseases (IRDs). The basis of optogenetics aims to bypass defective photoreceptors by introducing opsins with light-sensing capabilities. In contrast, targeted gene therapies, such as methods based on CRISPR-Cas9 and RNA interference with noncoding RNAs (i.e., microRNA, small interfering RNA, short hairpin RNA), consists of inducing normal gene or protein expression into affected cells. Having partially leveraged the challenges limiting their prompt introduction into the clinical practice (i.e., engineering, cell or tissue delivery capabilities), it is crucial to deepen the fields of knowledge applied to optogenetics and targeted gene therapy. The aim of this in-depth and novel literature review is to explain the fundamentals and applications of optogenetics and targeted gene therapies, while providing decision-making arguments for ophthalmologists. First, we review the biomolecular principles and engineering steps involved in optogenetics and the targeted gene therapies mentioned above by bringing a focus on the specific vectors and molecules for cell signalization. The importance of vector choice and engineering methods are discussed. Second, we summarize the ongoing clinical trials and most recent discoveries for optogenetics and targeted gene therapies for IRDs. Finally, we then discuss the limits and current challenges of each novel therapy. We aim to provide for the first time scientific-based explanations for clinicians to justify the specificity of each therapy for one disease, which can help improve clinical decision-making tasks.