bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessment of Prognostic Factors, Clinical Features Including the Microbiome, and Treatment Outcomes in Patients with Cancer of Unknown Primary Site
Authors: Dorobisz Karolina , Dorobisz Tadeusz , Pazdro-Zastawny Katarzyna
Published: October 2024

Introductions: cancer of unknown primary site (CUP) is a heterogeneous group of cancers in which metastases are found, and the primary tumor is not detected with available diagnostic methods. CUP is a disease that has not been fully researched, and its biology is unclear. The clinical characteristics of CUP are variable, but the prognosis of patients is usually unfavorable, and the possibilities of radical treatment are limited. The microbiome is the genes and gene products of microorganisms residing in a human body. In recent years, thanks to the use of next-generation sequencing, it is possible to assess the impact of the microbiome on human body functions. Head and neck cancers, due to the rich microbiome of this area, are influenced by it, and dysbiosis may be a risk factor for the development of cancer. Objective of this work: the aim of this study was to evaluate prognostic factors, clinical features including the microbiome, and treatment outcomes in patients with cancer of unknown primary site. Results: in the study group, increased numbers of bacteria of the phyla Bacteroides, Fusobacteria, Bacillota, Actinomycetota, Actinobacteria, and Candidatus were detected, while Firmicutes and Proteobacteria were detected in smaller numbers. Independent predictors of CUP occurrence were the following: leukocyte count of at most 6.49 × 103/mm, bacteria from the Proteobacteria phylum in the microbiome below 11.6%, Firmicutes below 22.1%, and Actinobacteria at least 11.0%. Increased numbers of Porphyromonas and Fusobacterium bacteria were associated with the risk of radiotherapy complications and shortened survival rate. Conclusions: clinical diagnosis and treatment of patients with CUP is complicated and difficult due to the lack of consensus on this issue. Treatment and prognosis of patients with CUP is unsatisfactory. The clinical value of the influence of the microbiome on the development, course, and treatment of cancer is becoming increasingly important. The microbiome may become a marker of response to anticancer treatment and the risk of its complications. Immunity modulation with the microbiome provides opportunities for further research on improving the effectiveness of oncological treatment. Fusobacterium and Porphyromonas seem to be the bacteria most important for the development of cancer, also worsening the prognosis of patients by increasing the risk of complications of radiotherapy and shortening the survival rate of patients. Streptococcus and Lactobacillus seem to be bacteria that reduce the risk of cancer, reduce the risk of complications, and improve the prognosis of patients. Total protein deficiency and elevated inflammatory markers are also important predictors of cancer risk.
Learning from Imbalanced Data: Integration of Advanced Resampling Techniques and Machine Learning Models for Enhanced Cancer Diagnosis and Prognosis
Authors: Gurcan Fatih , Soylu Ahmet
Published: October 2024

Background/Objectives: This study aims to evaluate the performance of various classification algorithms and resampling methods across multiple diagnostic and prognostic cancer datasets, addressing the challenges of class imbalance. Methods: A total of five datasets were analyzed, including three diagnostic datasets (Wisconsin Breast Cancer Database, Cancer Prediction Dataset, Lung Cancer Detection Dataset) and two prognostic datasets (Seer Breast Cancer Dataset, Differentiated Thyroid Cancer Recurrence Dataset). Nineteen resampling methods from three categories were employed, and ten classifiers from four distinct categories were utilized for comparison. Results: The results demonstrated that hybrid sampling methods, particularly SMOTEENN, achieved the highest mean performance at 98.19%, followed by IHT (97.20%) and RENN (96.48%). In terms of classifiers, Random Forest showed the best performance with a mean value of 94.69%, with Balanced Random Forest and XGBoost following closely. The baseline method (no resampling) yielded a significantly lower performance of 91.33%, highlighting the effectiveness of resampling techniques in improving model outcomes. Conclusions: This research underscores the importance of resampling methods in enhancing classification performance on imbalanced datasets, providing valuable insights for researchers and healthcare professionals. The findings serve as a foundation for future studies aimed at integrating machine learning techniques in cancer diagnosis and prognosis, with recommendations for further research on hybrid models and clinical applications.
Particle Conditioning for Improving Blockage Resistance of Denitration Catalysts in Sintering Flue Gas
Authors: Sun Deshan , Li Peiyuan , Zhou Can , Chen Linghong , Yang Yang , Yang Zhengda , Wang Yifan , Zheng Chenghang
Published: October 2024

The stability and safety of selective catalytic reduction (SCR) systems are threatened by potential catalyst blockages caused by fly ash deposition. This paper proposes to improve the blockage resistance of denitration catalysts for sintered fly ash through particle conditioning. X-ray fluorescence spectroscopy, scanning electron microscopy, and laser particle analyzer were combined with laboratory heating experiments and field tests for systematic research. The results indicate that the composition and morphology of sintered fly ash are intrinsic factors contributing to catalyst blockage, while heating conditions act as external triggers. The sintered fly ash primarily exhibits a fluffy, branched cotton-like structure. Its main components are K2O, Fe2O3, Na2O, and CaO, with the alkali metal oxides of potassium and sodium comprising 20% to 50%. At ambient temperature, sintered fly ash presents no agglomeration, but significant agglomeration occurs as temperature increases. Particle conditioning effectively inhibits the agglomeration tendency of sintered fly ash. Field tests show that catalyst activity remains unaffected even under severe blockage conditions. The pressure drop across the catalyst layers increases progressively, with the first layer displaying the least pressure drop and the third displaying the most. After particle conditioning, the pressure drop across the catalyst is stabilized at values below 600 Pa, effectively mitigating the blockage issue in the denitrification catalyst for sintering flue gas. This research provides critical technical support for the stable ultra-low emission of NOx from sintering flue gas.
Inflammatory Trajectory of Type 2 Diabetes: Novel Opportunities for Early and Late Treatment
Authors: Pellegrini Valeria , La Grotta Rosalba , Carreras Francesca , Giuliani Angelica , Sabbatinelli Jacopo , Olivieri Fabiola , Berra Cesare Celeste , Ceriello Antonio , Prattichizzo Francesco
Published: October 2024

Low-grade inflammation (LGI) represents a key driver of type 2 diabetes (T2D) and its associated cardiovascular diseases (CVDs). Indeed, inflammatory markers such as hs-CRP and IL-6 predict the development of T2D and its complications, suggesting that LGI already increases before T2D diagnosis and remains elevated even after treatment. Overnutrition, unhealthy diets, physical inactivity, obesity, and aging are all recognized triggers of LGI, promoting insulin resistance and sustaining the pathogenesis of T2D. Once developed, and even before frank appearance, people with T2D undergo a pathological metabolic remodeling, with an alteration of multiple CVD risk factors, i.e., glycemia, lipids, blood pressure, and renal function. In turn, such variables foster a range of inflammatory pathways and mechanisms, e.g., immune cell stimulation, the accrual of senescent cells, long-lasting epigenetic changes, and trained immunity, which are held to chronically fuel LGI at the systemic and tissue levels. Targeting of CVD risk factors partially ameliorates LGI. However, some long-lasting inflammatory pathways are unaffected by common therapies, and LGI burden is still increased in many T2D patients, a phenomenon possibly underlying the residual inflammatory risk (i.e., having hs-CRP > 2 mg/dL despite optimal LDL cholesterol control). On the other hand, selected disease-modifying drugs, e.g., GLP-1RA, seem to also act on the pathogenesis of T2D, curbing the inflammatory trajectory of the disease and possibly preventing it if introduced early. In addition, selected trials demonstrated the potential of canonical anti-inflammatory therapies in reducing the rate of CVDs in patients with this condition or at high risk for it, many of whom had T2D. Since colchicine, an inhibitor of immune cell activation, is now approved for the prevention of CVDs, it might be worth exploring a possible therapeutic paradigm to identify subjects with T2D and an increased LGI burden to treat them with this drug. Upcoming studies will reveal whether disease-modifying drugs reverse early T2D by suppressing sources of LGI and whether colchicine has a broad benefit in people with this condition.
Differential Neural Mechanisms of Feedback Processing in Children with Developmental Language Disorder: An Examination of Midfrontal Theta Connectivity
Authors: Gul Asiya , Schafer Annika L. , Arbel Yael
Published: October 2024

Background/Objectives: Previous research indicates that children with Developmental Language Disorder (DLD) face challenges learning from feedback, resulting in suboptimal performance and learning outcomes. Feedback processing, a key developing executive function, involves cognitive processes critical for goal-directed behavior. This study examined the neural mechanisms underlying feedback processing in school-age children with DLD compared to typically developing (TD) peers, focusing on midfrontal theta band (4–8 Hz) oscillations as an index of cognitive control and error monitoring. Methods: We measured midfrontal theta inter-trial coherence (ITC) and inter-site coherence (ISC) at midfrontal (FCz), lateral prefrontal (F3/F4), and lateral central (C3/C4) sites in children with and without DLD (n = 33, age 8–13 years) in response to feedback provision within a Wisconsin Card Sorting Test (WCST) in two time windows (200–400 ms, which is associated with the Feedback-Related Negativity, or FRN, and 400–600 ms, which is associated with the P3a). Results: Children with and without DLD showed elevated midfrontal theta oscillations in response to negative feedback that was followed by successful behavioral adjustments in the FRN time window. Activation in the P3a time window was only found in the TD group. Group differences were also noted in the inter-site coherence (ISC) associated with the effective processing of negative feedback. While in the TD group, effective processing of negative feedback was linked to high connectivity between midfrontal and right sensorimotor regions, in the DLD group, effective processing of negative feedback was associated with high connectivity between midfrontal and left sensorimotor sites. Conclusions: Differential ISC patterns in children with DLD may indicate that they employ alternative or compensatory neural strategies, possibly due to atypical right sensorimotor engagement.
Hybrid Activity of P–Si–N Moieties for Improved Fire Retardancy of Cotton Fabric Coated Using Sol-Gel Process
Authors: Rehman Zeeshan Ur , Hassan Hamid , Khan Laila , Hwain Lee , Chiho Yun , Koo Bon Heun
Published: October 2024

A sol-gel matrix was generated from S– and P-based acids to prepare a fire-retardant solution system for coating natural cotton fibers. The physical properties, surface morphology, and elemental composition of the coated samples were assessed using optical scanning electron microscopy. The thermal behavior of the coated samples was documented using TGA and VFT tests, which confirmed higher thermal stability of the phosphate-based coatings. High char residue formation (~44.5%) and self-extinguishing properties were observed for the phosphate-based coating under non-curing conditions. The superior properties of phosphate-based coatings P5-4h could be ascribed to the collaborative effect of P–Si–N—i.e., the combined activity during the combustion process and pyrolysis of the coated sample.
The Impact of Thermal Treatment on the Structural, Optical and Electrochemical Characteristics of Tin Sulfide Films
Authors: Bronusiene Asta , Barauskiene Ieva , Popov Anton , Zsiros Boldizsar , Farkas Attila , Plšek Jan , Ancutiene Ingrida
Published: October 2024

The development of eco-friendly, cost-effective, and naturally abundant electrode materials for supercapacitors is gaining critical importance in current energy storage research. This study focuses on the synthesis of tin sulfide (SnSx) films via the eco-friendly successive ionic layer adsorption and reaction (SILAR) method, employing varying quantities of L-ascorbic acid (0.8 and 1.0 g) as a reducing agent. Tin sulfide films were deposited on fluorine-doped tin oxide (FTO) glass substrates and subsequently annealed in an inert atmosphere at temperatures ranging from 200 to 400 °C, resulting in thin films of varying thicknesses (100–420 nm). The structural and compositional characteristics of the films were thoroughly analyzed using Raman spectroscopy to confirm the purity and spectroscopic signatures of the sulfides. Further characterization was performed to assess the films’ morphology (scanning electron microscopy, SEM), phase composition (X-ray diffraction, XRD), surface chemical states (X-ray photoelectron spectroscopy, XPS), optical properties (UV–Vis spectroscopy), and electrical properties (Hall measurements). The gathered data were then used to evaluate the potential of tin sulfide films as electrode materials in supercapacitors, highlighting their suitability for sustainable energy storage applications.
Audio Deep Fake Detection with Sonic Sleuth Model
Authors: Alshehri Anfal , Almalki Danah , Alharbi Eaman , Albaradei Somayah
Published: October 2024

Information dissemination and preservation are crucial for societal progress, especially in the technological age. While technology fosters knowledge sharing, it also risks spreading misinformation. Audio deepfakes—convincingly fabricated audio created using artificial intelligence (AI)—exacerbate this issue. We present Sonic Sleuth, a novel AI model designed specifically for detecting audio deepfakes. Our approach utilizes advanced deep learning (DL) techniques, including a custom CNN model, to enhance detection accuracy in audio misinformation, with practical applications in journalism and social media. Through meticulous data preprocessing and rigorous experimentation, we achieved a remarkable 98.27% accuracy and a 0.016 equal error rate (EER) on a substantial dataset of real and synthetic audio. Additionally, Sonic Sleuth demonstrated 84.92% accuracy and a 0.085 EER on an external dataset. The novelty of this research lies in its integration of datasets that closely simulate real-world conditions, including noise and linguistic diversity, enabling the model to generalize across a wide array of audio inputs. These results underscore Sonic Sleuth’s potential as a powerful tool for combating misinformation and enhancing integrity in digital communications.
Anti-Hair Loss Effects of the DP2 Antagonist in Human Follicle Dermal Papilla Cells
Authors: Lim Hye Won , Joo Hyunwoo , Jeon Chae Young , Lee Yurim , Kim Mujun , Shin Jung Un , Kim Jinsick , Kim SoonRe , Lee Sanghwa , Lim Dong Chul , Park Hee Dong , Park Byung Cheol , Shin Dong Wook
Published: October 2024

Prostaglandin D2 (PGD2) levels are high in the balding areas of human scalps, and PGD2 has been found to inhibit hair growth. It is known that the inhibition of the PGD2 receptor can promote hair growth by preventing hair follicles from entering the catagen phase. Thus, we identified an antagonist of DP2, the receptor for PGD2, as a potential treatment for hair loss using an AI-based DeepZema® drug development program. In this study, we identified that the DP2 antagonist (DP2A) could ameliorate alopecia in human follicle dermal papilla cells (HFDPCs) that were stimulated by dihydrotestosterone (DHT), a known molecule related to hair loss. We observed that the DP2A promoted wound healing efficiency and increased alkaline phosphatase levels in the HFDPCs that were damaged with DHT. In addition, we found that the DP2A diminished the reactive oxygen species (ROS) levels generated in the DHT-damaged HFDPCs. We confirmed that the DP2A effectively recovered the membrane potential of mitochondria in these cells. We also demonstrated that the DP2A enhanced the phosphorylation levels of both Akt and ERK in the HFDPCs that were damaged with DHT. Notably, we revealed that the DP2A slightly enlarged the three-dimensional spheroid size in these cells and confirmed that the DP2A improved hair growth in the organ culture of human hair follicles. Taken together, we suggest that DP2A has therapeutic effects on HFDPCs that are damaged by DHT and holds promise as a potential treatment for treating hair loss.
Meta-Analysis Reveals Behavioral Plasticity, Not Agonistic Behavior, Facilitates Invasion of Brown Anoles (Anolis sagrei) and Replacement of Green Anoles (Anolis carolinensis)
Authors: Jackson Maya A. , Bleicher Sonny S.
Published: October 2024

In a meta-analysis, we examined the behavioral portfolio of invasive brown anoles (Anolis sagrei) and native green anoles (Anolis carolinensis) in urban and non-urban environments. We hypothesized that invasive anoles would display more agonistic and bold signals (head bobbing, dewlap extensions, and pushups) than their native-range counterparts and their native competitors. We found that in urban settings, anoles of both species signaled more with dewlap extensions than with head bobs. Brown anoles displayed significantly more in non-urban habitats and their native range compared to urban habitats and invasive ranges. The outcome of our analysis suggests that brown anoles have plastic behavioral portfolios, whereas green anoles have relatively balanced preferences for head bobbing, irrespective of the habitat in which the populations were collected. We attribute the success of the brown anole invasion to the flexible strategy in the face of higher mate competition, higher predation risks, and less resource competition in both urban and invasive ranges. Lastly, we observed publication biases. More studies were conducted with urban and invasive brown anoles and specifically in manipulative mesocosm experimental settings—transplanting populations from native field settings. We show this altered the display rates across all studied signals.
A Machine Learning-Based Clustering Using Radiomics of F-18 Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for the Prediction of Prognosis in Patients with Intrahepatic Cholangiocarcinoma
Authors: Kwon Rosie , Kim Hannah , Ahn Keun Soo , Song Bong-Il , Lee Jinny , Kim Hae Won , Won Kyoung Sook , Lee Hye Won , Kim Tae-Seok , Kim Yonghoon , Kang Koo Jeong
Published: October 2024

Background: Intrahepatic cholangiocarcinoma (IHCC) is highly aggressive primary hepatic malignancy with an increasing incidence. Objective: This study aimed to develop machine learning-based radiomic clustering using F-18 fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) for predicting recurrence-free survival (RFS) and overall survival (OS) in IHCC. Methods: We retrospectively reviewed pretreatment F-18 FDG PET/CT scans of 60 IHCC patients who underwent surgery without neoadjuvant treatment between January 2008 and July 2020. Radiomic features such as first order, shape, and gray level were extracted from the scans of 52 patients and analyzed using unsupervised hierarchical clustering. Results: Of the 60 patients, 36 experienced recurrence and 31 died during follow-up. Eight patients with a negative FDG uptake were classified as Group 0. The unsupervised hierarchical clustering analysis divided the total cohort into three clusters (Group 1: n = 27; Group 2: n = 23; Group 3: n = 2). The Kaplan–Meier curves showed significant differences in RFS and OS among the clusters (p < 0.0001). Multivariate analyses showed that the PET radiomics grouping was an independent prognostic factor for RFS (hazard ratio (HR) = 3.03, p = 0.001) and OS (HR = 2.39, p = 0.030). Oxidative phosphorylation was significantly activated in Group 1, and the KRAS, P53, and WNT β-catenin pathways were enriched in Group 2. Conclusions: This study demonstrated that machine learning-based PET radiomics clustering can preoperatively predict prognosis and provide valuable information complementing the genomic profiling of IHCC.
Angioinvasive Rhino-Orbital-Cerebral Mucormycosis in a Patient with Type 2 Diabetes Mellitus: A Complex and Lethal Cause of Stroke
Authors: Weissert Nadine , Mengel Annerose , Bader Katharina , Hennersdorf Florian , Feil Katharina
Published: October 2024

Rhino-orbital-cerebral mucormycosis is a rapidly progressive and often fatal fungal infection caused by molds of the order Mucorales, particularly affecting immunocompromised individuals. This infection is notorious for its angioinvasive properties, enabling the fungi to invade blood vessels and leading to tissue necrosis. We report the clinical course of a 59-year-old Caucasian man with poorly controlled type 2 diabetes (HbA1c 16.8%) who presented with unilateral headache, left-sided facial numbness, and incomplete left ocular motor paresis. Initial presentation raised suspicion of orbital phlegmon, leading to antibiotic and later corticosteroid pulse therapy, which worsened the patient’s condition. Subsequent imaging demonstrated extensive inflammatory changes, including wall irregularities of the left intracranial internal carotid artery, accompanied by ocular protrusion and periorbital enhancement. New palatal lesions indicated mucormycosis, which was confirmed by molecular analysis of a palatal biopsy, leading to Amphotericin B treatment. Pre-surgery imaging revealed a malignant middle cerebral artery infarction, and the patient died 16 days after symptom onset and 12 days after initial presentation under palliative care due to a poor prognosis. This case of angioinvasive mucormycosis underscores the severe and often fatal course of rhino-orbital-cerebral mucormycosis in an immunocompromised individual. The rapid progression from initially vague and unspecific symptoms to extensive vascular involvement and stroke highlights the critical need for early and accurate diagnosis, as well as prompt intervention to prevent further disease progression. Additionally, this case also illustrates the potential risks associated with corticosteroid therapy in the presence of undiagnosed fungal infections, which can exacerbate the condition and lead to serious complications. Clinicians should maintain a high index of suspicion for mucormycosis in similar clinical scenarios, prioritizing adequate antifungal treatment and careful monitoring to improve patient outcomes. Early interdisciplinary collaboration is essential for the effective management of such complex cases.
In Vitro Models Used in Cariology Mineralisation Research—A Review of the Literature
Authors: Fu Yipeng , Ekambaram Manikandan , Li Kai Chun , Zhang Ya , Cooper Paul R. , Mei May Lei
Published: October 2024

Background: Dental caries remains a significant global health problem. One of the fundamental mechanisms underlying the development and progression of dental caries is the dynamic process of demineralisation/remineralisation. In vitro models have played a critical role in advancing our understanding of this process and identifying potential interventions to prevent or arrest dental caries. This literature review aims to provide a structured oversight of in vitro mineralisation models which have been used to study the tooth demineralisation/remineralisation process. Methods: Publications from 2019 to 2023 were screened to identify articles reporting the use of in vitro models to study the demineralisation/remineralisation of tooth caries. The included studies were methodologically assessed for their information on (i) substrate, (ii) lesion formation, and (iii) mineralisation models. Results: The most reported substrates used in the studies were human teeth along with bovine incisors. Acetic/lactic buffers were the most common solutions to induce caries lesions. pH cycling was the most frequently used mineralisation model for simulating the daily change within the oral environment. This review discussed the advantages and limitations of various approaches. Conclusions: Standardisation of in vitro mineralisation models is crucial for enabling effective comparison between studies and advancing caries research.
Oral Health Epidemiological Investigation in an Urban Homeless Population
Authors: Lione Roberta , Ralli Massimo , De Razza Francesca Chiara , D’Amato Giuseppe , Arcangeli Andrea , Carbone Luigi , Cozza Paola
Published: October 2024

The purpose of this clinical epidemiological investigation was to examine the oral health conditions of homeless people in the city of Rome, Italy. A total of 157 homeless subjects were subjected to a first dental visit, during which anamnestic information was recorded in a digital medical record. A diagnosis of dental disorders was performed by assessing oral hygiene conditions, periodontal health, the presence of caries and/or root residues, and the presence of partial and/or total edentulousness. Caries and missing teeth were evaluated by the DMFT index. The first major criticality was represented by poor or absent oral hygiene. The examined sample showed a major percentage of high DMFT (63.0%); the most common clinical condition was the presence of numerous root residues. Regarding periodontal health, 73.2% of patients had gingivitis, 21.6% periodontitis, while 11 patients had periodontal pathologies with tooth mobility (7%). Finally, 8.9% of patients had one or two missing elements, 22.9% had partial edentulousness, and 8.9% of the sample had total edentulism. This analysis provides an important basis for strengthening health promotion and the importance of accessible and effective care for this population. It will therefore be necessary to continue to adopt a patient-centered approach geared towards addressing the demands that this population faces in maintaining their oral health.
Seal Pipeline: Enhancing Dynamic Object Detection and Tracking for Autonomous Unmanned Surface Vehicles in Maritime Environments
Authors: Ahmed Mohamed , Rasheed Bader , Salloum Hadi , Hegazy Mostafa , Bahrami Mohammad Reza , Chuchkalov Mikhail
Published: October 2024

This study addresses the dynamic object detection problem for Unmanned Surface Vehicles (USVs) in marine environments, which is complicated by boat tilting and camera illumination sensitivity. A novel pipeline named “Seal” is proposed to enhance detection accuracy and reliability. The approach begins with an innovative preprocessing stage that integrates data from the Inertial Measurement Unit (IMU) with LiDAR sensors to correct tilt-induced distortions in LiDAR point cloud data and reduce ripple effects around objects. The adjusted data are grouped using clustering algorithms and bounding boxes for precise object localization. Additionally, a specialized Kalman filter tailored for maritime environments mitigates object discontinuities between successive frames and addresses data sparsity caused by boat tilting. The methodology was evaluated using the VRX simulator, with experiments conducted on the Volga River using real USVs. The preprocessing effectiveness was assessed using the Root Mean Square Error (RMSE) and tracking accuracy was evaluated through detection rate metrics. The results demonstrate a 25% to 30% improvement in detection accuracy and show that the pipeline can aid industry even with sparse object representation across different frames. This study highlights the potential of integrating sensor fusion with specialized tracking for accurate dynamic object detection in maritime settings, establishing a new benchmark for USV navigation systems’ accuracy and reliability.
Optimizing Routing Protocol Design for Long-Range Distributed Multi-Hop Networks
Authors: Pang Shengli , Lu Jing , Pan Ruoyu , Wang Honggang , Wang Xute , Ye Zhifan , Feng Jingyi
Published: October 2024

The advancement of communication technologies has facilitated the deployment of numerous sensors, terminal human–machine interfaces, and smart devices in various complex environments for data collection and analysis, providing automated and intelligent services. The increasing urgency of monitoring demands in complex environments necessitates low-cost and efficient network deployment solutions to support various monitoring tasks. Distributed networks offer high stability, reliability, and economic feasibility. Among various Low-Power Wide-Area Network (LPWAN) technologies, Long Range (LoRa) has emerged as the preferred choice due to its openness and flexibility. However, traditional LoRa networks face challenges such as limited coverage range and poor scalability, emphasizing the need for research into distributed routing strategies tailored for LoRa networks. This paper proposes the Optimizing Link-State Routing Based on Load Balancing (LB-OLSR) protocol as an ideal approach for constructing LoRa distributed multi-hop networks. The protocol considers the selection of Multipoint Relay (MPR) nodes to reduce unnecessary network overhead. In addition, route planning integrates factors such as business communication latency, link reliability, node occupancy rate, and node load rate to construct an optimization model and optimize the route establishment decision criteria through a load-balancing approach. The simulation results demonstrate that the improved routing protocol exhibits superior performance in node load balancing, average node load duration, and average business latency.
Vibration Analysis of a Centrifugal Pump with Healthy and Defective Impellers and Fault Detection Using Multi-Layer Perceptron
Authors: Garousi Masoud Hatami , Karimi Mahdi , Casoli Paolo , Rundo Massimo , Fallahzadeh Rasoul
Published: October 2024

Centrifugal pumps (CPs) are widely utilized in many different industries, and their operations are maintained by their reliable performance. CPs’ most common faults can be categorized as mechanical or flow-related faults: the first ones are often associated with damage at the impeller, while the second ones are associated with cavitation. It is possible to use computational algorithms to monitor both failures in CPs. In this study, two different problems in pumps, the defective impeller and cavitation, have been considered. When a CP is working in a faulty condition, it generates vibrations that can be measured using piezoelectric sensors. Collected data can be analyzed to extract time- and frequency-domain data. Interpreting the time-domain data showed that distinguishing the type of defect is not possible. However, indicators like kurtosis, skewness, mean, and variance can be used as input for the multi-layer perceptron (MLP) algorithm to classify pump faults. This study presents a detailed discussion of the vibration-based method outcomes, emphasizing the benefits and drawbacks of the multi-layer perceptron method. The results show that the suggested algorithm can identify the occurrence of different faults and quantify their severity during pump operation in real time.
Experimental Study on the Design and Cutting Mechanical Properties of Bionic Pruning Blades
Authors: Ban Yichen , Liu Yang , Zhao Xuan , Lin Chen , Wen Jian , Li Wenbin
Published: October 2024

This study focuses on existing pruning equipment; cutting blades show cutting resistance and lead to high energy consumption. Using finite element (FEA) numerical simulation technology, the branch stress wave propagation mechanism during pruning was studied. The cutting performance of the bionic blade was evaluated with cutting energy consumption as the test index and the branch diameter and branch angle as the test factors, respectively. The test results showed that the blades imitating the mouthparts of the three-pecten bull and the beak of the woodpecker performed well in pruning, and the energy consumption during cutting was reduced by 18.2% and 16.3% compared to traditional blades, making these blades significantly better. These two blades also effectively reduced the cutting resistance and branch splitting by optimizing the edge angle design and increasing the slip-cutting action. In contrast, the imitation shark’s tooth blade increased cutting energy consumption by 14.4% due to the large amount of cutting resistance in the cutting process when cutting larger-diameter branches, making it unsuitable for application in the pruning field. Therefore, the blades imitating the mouthparts of the three pectins and the beak of the woodpecker have significant advantages in reducing the cutting resistance and improving the pruning quality. These findings provide an important theoretical reference for the development of energy-efficient pruning equipment.
Economic Effects Assessment of Forest City Construction: Empirical Evidence from the County-Level Areas in China
Authors: Zhang Rongbo , Zhong Changbiao
Published: October 2024

Forests are both an irreplaceable natural resource and a vital economic asset for all humankind. Based on the data of counties in mainland China from 2007 to 2020, the article explores the direct impact and spatial spillover effects of the policy implementation on the economic growth of counties with the help of the forest city pilot policy and the policy evaluation model. The results reveal that policy implementation can have a positive economic growth effect on the pilot counties, which, in turn, can significantly increase the size of the county’s GDP, the level of GDP per capita, and the total amount of nighttime lighting brightness. The implementation of forest city construction can bring about 2.74% of total GDP size, about 2.63% of per capita GDP development level, and about 7.25% of nighttime light brightness to the county on average. Cost–benefit analysis also indicates that forest city construction can bring about a comprehensive economic benefit of approximately CNY 686.453 million (approximately USD 96.82 million) to the counties. The rapid improvement in labor productivity, significant influx of high-end factors, and continuous expansion of market potential are important mechanisms through which policy implementation promotes economic growth in pilot counties. While promoting economic growth in the pilot counties, forest city construction can also have positive spatial spillover effects on neighboring areas in the pilot counties. Furthermore, when the deficits in atmospheric vapor pressure and annual evapotranspiration are used as instrumental variables for forest city construction, the empirical estimates are not significantly altered. In the process of building forest cities, county governments should be wary of issues such as the high cost of forest maintenance. This study provides a Chinese model and policy reference for other countries and regions in the world to deal with the relationship between forest city construction and county economic growth.
Surface Morphology and Chemical Changes of Maple and Beech Cut Through by CO2 Laser Under Different Angles Relative to the Wood Grain
Authors: Gurau Lidia , Angelescu Ana-Maria , Timar Maria Cristina
Published: October 2024

This paper examined the surface morphology of maple and beech cut through by CO2 laser under different angles relative to the wood grain: 0°, 15°, 30°, 45°, 60°, 75°, and 90°. In the analysis, stylus measurements, stereo-microscopic images, and chemical changes were considered. Laser uncovers more wood anatomical details, with enhanced clarity, when the cutting transitions from along the grain to across the grain. This is particularly noticeable in the earlywood and is more pronounced in maple compared to beech. The first tissue of earlywood was deeply ablated by the laser, leading to a wavy anatomical pattern, which is more visible for higher angles of laser cutting in relation to the wood grain. The anatomical structure of beech was more affected by carbonization in comparison to maple and had a significantly higher core roughness, Rk. For both species, the worst surface roughness occurred when cutting at 15°. In maple, the laser caused more degradation of the polysaccharides compared to beech, and this impact was particularly noticeable parallel to the grain rather than at a 90° angle. The degradation of hemicelluloses occurred in parallel with more advanced cellulose degradation for beech compared to maple and for cutting along the grain compared to across the grain. Structural changes in lignin, such as condensation processes, were observed for both species.
Application End Evaluation of Electrostatic Precipitation for Control PM and NOx Emissions from Small-Scale Combustions
Authors: Molchanov Oleksandr , Krpec Kamil , Horák Jiří , Kuboňová Lenka , Hopan František , Ryšavý Jiří
Published: October 2024

Electrostatic precipitators (ESPs) have shown promise in reducing particulate matter (PM) emissions, but their potential for simultaneous NOx reduction in small-scale combustion systems remains underexplored. This study focuses on using non-thermal plasma generated in a corona discharge to reduce PM and NOx emissions from small-scale combustion. ESP was specifically designed for a commercially available 15 kW boiler with wood pellet combustion and used with both positive and negative discharge polarity to control emissions without any chemical additives. ESP performance was evaluated across a range of specific input energies (SIE) in terms of particle mass and number concentrations and NOx concentrations obtained by continuous gas analysis. ESP ensured the reduction in PM concentrations from 48 mg/m3 to the magnitude of PM content in the ambient air. The highest precipitation efficiency was observed for particles in the 20–200 nm range. Concurrently, NOx emissions were reduced by up to 78%, from 178 mg/m3 to 39 mg/m3. These results were achieved at specific input energies of 36 for positive and 48 J/L for negative corona, which is significantly lower than those reported for many existing separate PM and NOx control systems. This study demonstrates the potential of ESPs as a compact, energy-efficient solution for simultaneous PM and NOx removal in small-scale combustion systems, offering promising implications for improving air pollution control technologies for small-scale combustion systems.
Modeling and Visualization of Coolant Flow in a Fuel Rod Bundle of a Small Modular Reactor
Authors: Dmitriev Sergei , Demkina Tatiyana , Dobrov Aleksandr , Doronkov Denis , Kuritsin Daniil , Nikolaev Danil , Pronin Alexey , Riazanov Anton , Solntsev Dmitriy
Published: October 2024

This article presents the results of an experimental study of the coolant flow in a fuel rod bundle of a nuclear reactor fuel assembly of a small modular reactor for a small ground-based nuclear power plant. The aim of the work is to experimentally determine the hydrodynamic characteristics of the coolant flow in a fuel rod bundle of a fuel assembly. For this purpose, experimental studies were conducted in an aerodynamic model that included simulators of fuel elements, burnable absorber rods, spacer grids, a central displacer, and stiffening corners. During the experiments, the water coolant flow was modeled using airflow based on the theory of hydrodynamic similarity. The studies were conducted using the pneumometric method and the contrast agent injection method. The flow structure was visualized by contour plots of axial and tangential velocity, as well as the distribution of the contrast agent. During the experiments, the features of the axial flow were identified, and the structure of the cross-flows of the coolant was determined. The database obtained during the experiments can be used to validate CFD programs, refine the methods of thermal-hydraulic calculation of nuclear reactor cores, and also to justify the design of fuel assemblies.
Correction: Jiang et al. Characterization of Functional Microorganisms in Representative Traditional Fermented Dongcai from Different Regions of China. Foods 2023, 12, 1753
Authors: Jiang Yanbing , Fu Hao , Li Meng , Wang Changtao
Published: October 2024

There was an error in the original publication [...]
A Pilot Study of Age Estimation and Cause of Death: Insights into Skeletal Aging
Authors: Appel Nicollette S. , Edgar Heather J. H.
Published: October 2024

Background/Objectives: Forensic anthropological age estimations are often limited by a lack of diversity in reference samples, imprecision, and, for certain populations, inaccuracy. This study aims to explore the relationship between health, as indicated by cause of death, and skeletal age estimation, with the goal of determining whether including health information can improve accuracy and precision in age estimation. Methods: Skeletal age data were collected from the Maxwell Museum Documented Skeletal Collection using the Lovejoy et al. method for the auricular surface and the Suchey-Brooks method for the pubic symphysis. All individuals had a known cause of death, which was categorized into two broad groups: disease-related and trauma-related. Cause of death category served as a proxy for health status. Results: Individuals who died from disease-related causes often fell within the upper end of the age ranges for both the auricular surface and pubic symphysis methods. In contrast, those who died from trauma-related causes tended to fall within the lower end of these age ranges. Conclusions: These results indicate that incorporating factors such as health into existing forensic age estimation methods could enhance the precision of age estimates, particularly by addressing the influence of environmental and lifestyle factors on skeletal aging.
Existence, Uniqueness, and Stability of Solutions for Nabla Fractional Difference Equations
Authors: Dimitrov Nikolay D. , Jonnalagadda Jagan Mohan
Published: October 2024

In this paper, we study a class of nabla fractional difference equations with multipoint summation boundary conditions. We obtain the exact expression of the corresponding Green’s function and deduce some of its properties. Then, we impose some sufficient conditions in order to ensure existence and uniqueness results. Also, we establish some conditions under which the solution to the considered problem is generalized Ulam–Hyers–Rassias stable. In the end, some examples are included in order to illustrate our main results.
Genetic Insights into the Giant Keyhole Limpet (Megathura crenulata), an Eastern Pacific Coastal Endemic: Complete Mitogenome, Phylogenetics, Phylogeography, and Historical Demography
Authors: Bonett-Calzada Brenda , Valenzuela-Quiñonez Fausto , Del Río-Portilla Miguel A. , Bayona-Vásquez Natalia J. , Vargas-Peralta Carmen E. , Hyde John R. , Lafarga-De la Cruz Fabiola
Published: October 2024

Background: The giant keyhole limpet Megathura crenulata is a gastropod mollusk (Fissurella superfamily) that is endemic to the eastern Pacific coast from southern California, USA, to Baja California Sur, Mexico. M. crenulata is socioeconomically important as it produces a potent immune-stimulating protein, called Keyhole Limpet Hemocyanin, which is extracted in vivo and utilized for vaccine development. However, ecological studies are scarce and genetic knowledge of the species needs to be improved. Our objectives were to assemble and annotate the mitogenome of M. crenulata, and to assess its phylogenetic relationships with other marine gastropods and to evaluate its population genetic diversity and structure. Methods: Samples were collected for mitogenome assembly (n = 3) spanning its geographic range, Puerto Canoas (PCA) and Punta Eugenia (PEU), Mexico, and California (CAL), USA. Total DNA was extracted from gills sequenced using Illumina paired-end 150-bp-read sequencing. Reads were cleaned, trimmed, assembled de novo, and annotated. In addition, 125 samples from eight locations were analyzed for genetic diversity and structure analysis at the 16s rRNA and COX1 genes. Results: The M. crenulata mitogenomes had lengths of 16,788 bp (PCA) and 16,787 bp (PEU) and were composed of 13 protein-coding regions, 22 tRNAs, two rRNAs, and the D-Loop region. In terms of phylogeographic diversity and structure, we found a panmictic population that has experienced recent demographic expansion with low nucleotide diversity (0.002), high haplotypic diversity (0.915), and low φST (0.047). Conclusions: Genetic insights into the giant keyhole limpet provides tools for its management and conservation by delimiting fishing regions with low genetic diversity and/or genetically discrete units.
Characteristics of Italian, German and Spanish Socio-Economic, Public Health and Long-Term Care Systems Associated with COVID-19 Incidence and Mortality in the First Pandemic Year: Lessons for Future Sustainability in an International Perspective
Authors: Casanova Georgia , Lillini Roberto , Lamura Giovanni
Published: October 2024

Background/Objectives: The main outcomes of the COVID-19 pandemic can be used to assess the capability and sustainability of public healthcare and Long-Term Care (LTC) systems. This study aims to identify the population’s demographic and socio-economic characteristics, as well as other national resources associated with the incidence and mortality of COVID-19, by comparing three European countries during the first pandemic period (Italy, Spain, and Germany). The results will identify possible strengths and weaknesses that could be considered as hints of the need for health and social intervention. Methods: Variables describing the countries’ core demographics, socio-economic characteristics, and national resources were collected from 2001–2021 from well-established international databases. COVID-19 incidence and death figures from 1 March 2020 to 31 March 2021 were extracted from national health databases. Analysis focused on bivariate and weighted multivariable linear regressions between incidence, mortality, and socio-economic covariates. Results: Findings show that both care models and socio-demographic characteristics influenced the capability of the first year’s response to the COVID-19 emergency. Formal public care appears to represent the most effective strategy against incidence and mortality regarding COVID-19, especially for older people, because it mitigates the adverse effects of socio-economic characteristics. Conclusions: Current strategies oriented towards privatizing care should, therefore, be considered critically, since they may result in weaker protection of vulnerable groups, such as frail older people, due to the unequal position of individuals with different socio-economic conditions in purchasing services from the care market.