bluuebunny/crossref_metadata_2025 huggingface dataset:
Enhanced WGAN Model for Diagnosing Laryngeal Carcinoma
Authors: Kim Sungjin , Chang Yongjun , An Sungjun , Kim Deokseok , Cho Jaegu , Oh Kyungho , Baek Seungkuk , Choi Bo K.
Published: October 2024

This study modifies the U-Net architecture for pixel-based segmentation to automatically classify lesions in laryngeal endoscopic images. The advanced U-Net incorporates five-level encoders and decoders, with an autoencoder layer to derive latent vectors representing the image characteristics. To enhance performance, a WGAN was implemented to address common issues such as mode collapse and gradient explosion found in traditional GANs. The dataset consisted of 8171 images labeled with polygons in seven colors. Evaluation metrics, including the F1 score and intersection over union, revealed that benign tumors were detected with lower accuracy compared to other lesions, while cancers achieved notably high accuracy. The model demonstrated an overall accuracy rate of 99%. This enhanced U-Net model shows strong potential in improving cancer detection, reducing diagnostic errors, and enhancing early diagnosis in medical applications.
Recent Advances in the Molecular Biology of Chronic Lymphocytic Leukemia: How to Define Prognosis and Guide Treatment
Authors: Arcari Annalisa , Morello Lucia , Borotti Elena , Ronda Elena , Rossi Angela , Vallisa Daniele
Published: October 2024

Chronic Lymphocytic Leukemia (CLL) is the most frequent type of leukemia in Western countries. In recent years, there have been important advances in the knowledge of molecular alterations that underlie the disease’s pathogenesis. Very heterogeneous prognostic subgroups have been identified by the mutational status of immunoglobulin heavy variable genes (IGVH), FISH analysis and molecular evaluation of TP53 mutations. Next-generation sequencing (NGS) technologies have provided a deeper characterization of the genomic and epigenomic landscape of CLL. New therapeutic targets have led to a progressive reduction of traditional chemoimmunotherapy in favor of specific biological agents. Furthermore, in the latest clinical trials, the minimal residual disease (MRD) has emerged as a potent marker of outcome and a guide to treatment duration. This review focuses on recent insights into the understanding of CLL biology. We also consider the translation of these findings into the development of risk-adapted and targeted therapeutic approaches.
Podoplanin Expression in Early-Stage Colorectal Cancer-Associated Fibroblasts and Its Utility as a Diagnostic Marker for Colorectal Lesions
Authors: Tsukamoto Shuichi , Kodama Takayuki , Nishio Mari , Shigeoka Manabu , Itoh Tomoo , Yokozaki Hiroshi , Koma Yu-ichiro
Published: October 2024

(Background) Cancer-associated fibroblasts (CAFs) are major cancer stromal components. CAFs have diverse functions and cell origins. Podoplanin (PDPN), a lymphatic vessel marker, is also a CAF marker in certain cancers. On daily diagnosis of early colorectal carcinoma (CRC), PDPN upregulation in the stroma is often encountered, suggesting PDPN-positive CAFs have emerged. However, PDPN-positive CAFs in early CRC have not been studied well. (Methods) On immunohistochemistry, PDPN expression in the lamina propria or stroma of adenomas, early CRCs, and neuroendocrine tumors, their normal neighbors, and non-neoplastic colorectal lesions were compared. Single-cell RNA sequencing (scRNA-seq) of CRC was used to explore PDPNhigh CAFs’ cell origins. (Results) Reticular cells or pericryptal fibroblasts in the lamina propria of adenomas and early CRCs showed higher PDPN expression than did normal mucosae and non-neoplastic lesions (p < 0.01). Pericryptal PDPN expression was a diagnostic feature of adenomas and early CRCs. scRNA-seq of CRCs highlighted that PDPNhigh CAFs had distinctly higher COL4A1, COL4A2, and WNT5A expression, unlike well-known CAFs characterized by high FAP, POSTN, or ACTA2 expression. (Conclusions) We demonstrated that pericryptal fibroblasts and reticular cells in the lamina propria are origins of early-stage CRC CAFs and thus have potential as a diagnostic marker for distinguishing colorectal non-neoplastic from neoplastic lesions.
The Extracellular Matrix and Cardiac Pressure Overload: Focus on Novel Treatment Targets
Authors: Snelders Matthijs , Yildirim Meltem , Danser A. H. Jan , van der Pluijm Ingrid , Essers Jeroen
Published: October 2024

Heart failure is a significant health issue in developed countries, often stemming from conditions like hypertension, which imposes a pressure overload on the heart. Despite various treatment strategies for heart failure, many lack long-term effectiveness. A critical aspect of cardiac disease is the remodeling of the heart, where compensatory changes in the extracellular matrix exacerbate disease progression. This review explores the processes and changes occurring in the pressure-overloaded heart with respect to the extracellular matrix. It further summarizes current treatment strategies, and then focuses on novel treatment targets for maladaptive cardiac remodeling, derived from transverse aortic constriction-induced pressure overload animal models.
Interleukin-1 Receptor-Associated Kinase 1 in Cancer Metastasis and Therapeutic Resistance: Mechanistic Insights and Translational Advances
Authors: Najjar Mariana K. , Khan Munazza S. , Zhuang Chuling , Chandra Ankush , Lo Hui-Wen
Published: October 2024

Interleukin-1 Receptor Associated Kinase 1 (IRAK1) is a serine/threonine kinase that plays a critical role as a signaling transducer of the activated Toll-like receptor (TLR)/Interleukin-1 receptor (IL-1R) signaling pathway in both immune cells and cancer cells. Upon hyperphosphorylation by IRAK4, IRAK1 forms a complex with TRAF6, which results in the eventual activation of the NF-κB and MAPK pathways. IRAK1 can translocate to the nucleus where it phosphorylates STAT3 transcription factor, leading to enhanced IL-10 gene expression. In immune cells, activated IRAK1 coordinates innate immunity against pathogens and mediates inflammatory responses. In cancer cells, IRAK1 is frequently activated, and the activation is linked to the progression and therapeutic resistance of various types of cancers. Consequently, IRAK1 is considered a promising cancer drug target and IRAK1 inhibitors have been developed and evaluated preclinically and clinically. This is a comprehensive review that summarizes the roles of IRAK1 in regulating metastasis-related signaling pathways of importance to cancer cell proliferation, cancer stem cells, and dissemination. This review also covers the significance of IRAK1 in mediating cancer resistance to therapy and the underlying molecular mechanisms, including the evasion of apoptosis and maintenance of an inflammatory tumor microenvironment. Finally, we provide timely updates on the development of IRAK1-targeted therapy for human cancers.
Bromodomain-Containing 4 Is a Positive Regulator of Interleukin-34 Production in the Gut
Authors: Franzè Eleonora , Laudisi Federica , Frascatani Rachele , Tomassini Lorenzo , De Cristofaro Elena , Stolfi Carmine , Monteleone Giovanni
Published: October 2024

Experimental evidence suggests that, in the inflamed gut of inflammatory bowel disease (IBD) patients, interleukin-34 (IL-34) triggers detrimental signaling pathways. Factors/mechanisms regulating IL-34 production in IBD remain poorly characterized. Bromodomain-containing 4 (BRD4), a transcriptional and epigenetic regulator, is over-expressed in IBD, and studies in cancer cells suggest that BRD4 might positively control IL-34 expression. This study aimed to assess whether, in IBD, BRD4 regulates IL-34 expression. In IBD, there was an up-regulation of both IL-34 and BRD4 compared to the controls, and the two proteins co-localized in both lamina propria mononuclear cells (LPMCs) and epithelial cells. Flow cytometry analysis of CD45+ LPMCs confirmed that the percentages of IL-34- and BRD4-co-expressing cells were significantly higher in IBD than in the controls and showed that more than 80% of the IL-34-positive CD45-LPMCs expressed BRD4. IL-34 and BRD4 were mainly expressed by T cells and macrophages. IL-34 expression was reduced in IBD LPMCs transfected with BRD4 antisense oligonucleotide and in the colons of mice with dextran sulfate sodium-induced colitis treated with JQ1, a pharmacological inhibitor of BRD4. These data indicate that BRD4 is a positive regulator of IL-34 in IBD, further supporting the pathogenic role of BRD4 in IBD-associated mucosal inflammation.
Enhanced Removal of Chlorpyrifos, Cu(II), Pb(II), and Iodine from Aqueous Solutions Using Ficus Nitida and Date Palm Biochars
Authors: Mahmoud Essam R. I. , Aly Hesham M. , Hassan Noura A. , Aljabri Abdulrahman , Khan Asim Laeeq , F. El-Labban Hashem
Published: October 2024

This study explores the adsorption efficiency of biochar derived from palm trees and Ficus nitida for the removal of various contaminants, including Cu(II), Pb(II), iodine, and chlorpyrifos from aqueous solutions. Biochar was prepared using a two-step pyrolysis process for date palm biochar and single-step pyrolysis for Ficus nitida biochar. Characterization techniques such as SEM, EDX, and FTIR revealed a significant surface area and a variety of functional groups in both types of biochar, essential for effective adsorption. The date palm biochar exhibited superior adsorption capacities for Cu(II) and Pb(II) ions, achieving efficiencies up to 99.9% and 100%, respectively, due to its high content of oxygen-containing functional groups that facilitated strong complexation and ion exchange mechanisms. Conversely, Ficus nitida biochar demonstrated a higher adsorption capacity for iodine, reaching 68% adsorption compared to 39.7% for date palm biochar, owing to its greater surface area and microporosity. In the case of chlorpyrifos, Ficus nitida biochar again outperformed date palm biochar, achieving a maximum adsorption efficiency of 87% after 24 h of incubation, compared to 50.8% for date palm biochar. The study also examines the effect of incubation time on adsorption efficiency, showing that the adsorption of chlorpyrifos by date palm biochar increased significantly with time, reaching a maximum of 62.9% after 48 h, with no further improvement beyond 12 h. These results highlight the importance of biochar characteristics, such as surface area, pore structure, and functional groups, in determining adsorption efficiency. The findings suggest that optimizing pyrolysis conditions and surface modifications could further enhance the performance of biochar as a cost-effective and sustainable solution for water purification and environmental remediation.
Advancements and Applications of Single-Atom Nanozymes in Sensing Analysis
Authors: Zhang Huiyun , Zhang Shouting , Zhang Zhicheng
Published: October 2024

Single-atom nanozymes, with their atomically dispersed metal active sites, distinctive atom utilization rate, and tunable electronic structure, demonstrate great promise in the field of sensing analysis. This paper reviews the latest research progress on single-atom nanozymes in sensing applications. We classify single-atom nanozymes based on both their structural characteristics, such as carbon-based carriers, frameworks and their derivatives, metal oxides, metal sulfides, and organic polymer carriers, and their unique catalytic properties, including peroxidase, oxidase, catalase, superoxide dismutase, and multi-enzyme mimetic activities. Furthermore, we discuss the application of single-atom nanozymes in the sensitive detection of biological small molecules, antioxidants, ions, enzyme activities and their inhibitors, as well as cells and viruses. Finally, we highlight the opportunities and challenges for advancing the practical application and further research of single-atom nanozymes in the field of sensing analysis.
Primary Adrenal Insufficiency, Complete Sex Reversal, and Unique Clinical Phenotype in a Patient with Severe CYP11A1 (P450scc) Deficiency—Case Report and Literature Overview
Authors: Nowak Zuzanna , Preizner-Rzucidło Ewelina , Gawlik Jakub , Starzyk Jerzy B. , Januś Dominika
Published: October 2024

Background: Congenital adrenal hyperplasia (CAH) is a group of genetic disorders that lead to the dysfunction of the steroidogenesis pathway, resulting in steroid hormone deficiency of varied intensity. The cholesterol side-chain cleavage enzyme (P450scc), coded by the CYP11A1 gene, is vital to the first step in the biosynthesis of steroid hormones, which is the conversion of cholesterol to pregnenolone. Therefore, its deficiency causes a general steroid hormone shortage. Objective: We report a case of CAH caused by P450scc deficiency with complete 46, XY sex reversal, characteristic facial features (narrow middle section of the face, small ears with thick helix, fleshy upturned lobules), and dysmorphic macrocephaly along with shortened upper and lower extremities. Results: Our patient carries a compound heterozygotic pathogenic variant of the CYP11A1 gene, with two frameshift pathogenic variants NM_000781.3(CYP11A1):c.358del (p.Arg120Aspfs*18) in exon 2 and NM_000781.3(CYP11A1):c.835del (p.Ile279Tyrfs*10) in exon 5. To date, only around 50 cases with CYP11A1 pathogenic variants have been reported worldwide. We believe this is the first described case of a newborn with severe, classic P450scc deficiency in Poland. Conclusions: CYP11A1 (P450scc) deficiency is a rare and complex disorder that leads to primary adrenal insufficiency and may present with 46, XY disorders of sex development (DSD), phenotypic variations, and associated endocrinological abnormalities. This case, along with others cited, highlights the diverse presentations of DSD in individuals with pathogenic CYP11A1 variants. Optimal management necessitates a multidisciplinary approach by a specialized DSD team. Gonadectomy is a key consideration to decrease the teratogenic risk associated with intra-abdominal gonadal tissue.
Childhood Hypertension: A Retrospective Analysis of Causes, Treatments, and Complications
Authors: Al Riyami Mohamed S. , Al Shuaibi Aisha , Al Jardani Suad , Elfar Asma , Al Maskari Anisa , Al Gaithi Badria , Al Saidi Sulaiman , Al Kalbani Naifain
Published: October 2024

Background: Hypertension is prevalent in the pediatric population, with estimated rates between 2% and 5%, and its incidence is rising globally. This study offers a single-center analysis of hypertension in children. Methods: a retrospective chart review was conducted involving children aged 1 month to 13 years diagnosed with hypertension. Results: The study included a total of 129 children. Secondary hypertension was identified in 103 patients (79.8%), while primary hypertension was noted in 26 patients (20.2%). Primary hypertension was more common among pre-teen children (50.0%), whereas secondary hypertension predominantly affected those aged 1 to 5 years. Renal parenchymal disease emerged as the most frequent etiology of secondary hypertension, followed by endocrine disorders and vascular issues. No significant correlation was found between hypertension and obesity. The primary complications associated with hypertension in these children were cardiovascular, followed by neurological issues. A small proportion (14.7%) managed their hypertension solely through lifestyle modifications, while the majority required additional antihypertensive medications. At the final follow-up, 50% of the children demonstrated improved blood pressure readings. Conclusion: The findings indicate a higher prevalence of secondary hypertension compared to primary hypertension among the studied population. This study underscores the necessity for heightened awareness among pediatricians regarding the early identification and management of hypertension. Larger population-based studies are warranted to further investigate the prevalence, causes, and outcomes of hypertension in this region.
Crop Coefficients and Irrigation Demand in Response to Climate-Change-Induced Alterations in Phenology and Growing Season of Vegetable Crops
Authors: Schmidt Nadine , Zinkernagel Jana
Published: October 2024

This study investigates the effects of climate change on the irrigation demand of vegetable crops caused by alteration of climate parameters affecting evapotranspiration (ET), plant development, and growing periods in Central Europe. Utilizing a model framework comprising two varying climate scenarios (RCP 2.6 and RCP 8.5) and two regional climate models (COSMO C-CLM and WETTREG 2013), we calculate the daily crop water balance (CWBc) as a measure for irrigation demand based on reference ET and the temperature-driven duration of crop coefficients until 2100. Our findings for onion show that rising temperatures may shorten cultivation periods by 5 to 17 days; however, the irrigation demand may increase by 5 to 71 mm due to higher ET. By reaching the base temperatures for onion growth earlier in the year, cultivation start can be advanced by up to 30 days. Greater utilization of winter soil moisture reduces the irrigation demand by up to 21 mm, though earlier cultivation is restricted by frost risks. The cultivation of thermophilic crops, however, cannot be advanced to the same extent, as shown for bush beans, and plants will transpire more strongly due to longer dry periods simulated for summer. The results underscore the need for adaptive crop and water management strategies to counteract the simulated changes in phenology and irrigation demand of vegetable crops. Therefore, special consideration must be given to the regional-specific and model- and scenario-dependent simulation results.
A Bibliometric Analysis Exploring the Acceptance of Virtual Reality among Older Adults: A Review
Authors: Wang Pei-Gang , Ali Nazlena Mohamad , Sarker Mahidur R.
Published: October 2024

In recent years, there has been a widespread integration of virtual reality (VR) technology across various sectors including healthcare, education, and entertainment, marking a significant rise in its societal importance. However, with the ongoing trend of population ageing, understanding the elderly’s acceptance of such new technologies has become a focal point in both academic and industrial discourse. Despite the attention it garners, there exists a gap in understanding the attitudes of older adults towards VR adoption, along with evident needs and barriers within this demographic. Hence, gaining an in-depth comprehension of the factors influencing the acceptance of VR technology among older adults becomes imperative to enhance its utility and efficacy within this group. This study employs renowned databases such as WoS and Scopus to scrutinize and analyze the utilization of VR among the elderly population. Utilizing VOSviewer software (version 1.6.20), statistical analysis is conducted on the pertinent literature to delve into research lacunae, obstacles, and recommendations in this domain. The findings unveil a notable surge in literature studies concerning VR usage among older adults, particularly evident since 2019. This study documents significant journals, authors, citations, countries, and research domains contributing to this area. Furthermore, it highlights pertinent issues and challenges surrounding the adoption of VR by older users, aiming to identify prevailing constraints, research voids, and future technological trajectories. Simultaneously, this study furnishes guidelines and suggestions tailored towards enhancing VR acceptance among the elderly, thereby fostering a more inclusive technological milieu. Ultimately, this research aspires to establish an encompassing technological ecosystem empowering older adults to harness VR technology for enriched engagement, learning, and social interactions.
Data Mining Approach for Evil Twin Attack Identification in Wi-Fi Networks
Authors: Banakh Roman , Nyemkova Elena , Justice Connie , Piskozub Andrian , Lakh Yuriy
Published: October 2024

Recent cyber security solutions for wireless networks during internet open access have become critically important for personal data security. The newest WPA3 network security protocol has been used to maximize this protection; however, attackers can use an Evil Twin attack to replace a legitimate access point. The article is devoted to solving the problem of intrusion detection at the OSI model’s physical layers. To solve this, a hardware–software complex has been developed to collect information about the signal strength from Wi-Fi access points using wireless sensor networks. The collected data were supplemented with a generative algorithm considering all possible combinations of signal strength. The k-nearest neighbor model was trained on the obtained data to distinguish the signal strength of legitimate from illegitimate access points. To verify the authenticity of the data, an Evil Twin attack was physically simulated, and a machine learning model analyzed the data from the sensors. As a result, the Evil Twin attack was successfully identified based on the signal strength in the radio spectrum. The proposed model can be used in open access points as well as in large corporate and home Wi-Fi networks to detect intrusions aimed at substituting devices in the radio spectrum where IEEE 802.11 networking equipment operates.
Enhancing Neural Machine Translation Quality for Kannada–Tulu Language Pairs through Transformer Architecture: A Linguistic Feature Integration
Authors: Supriya Musica , Acharya U Dinesh , Nayak Ashalatha
Published: October 2024

The rise of intelligent systems demands good machine translation models that are less data hungry and more efficient, especially for low- and extremely-low-resource languages with few or no data available. By integrating a linguistic feature to enhance the quality of translation, we have developed a generic Neural Machine Translation (NMT) model for Kannada–Tulu language pairs. The NMT model uses Transformer architecture and a state-of-the-art model for translating text from Kannada to Tulu and learns based on the parallel data. Kannada and Tulu are both low-resource Dravidian languages, with Tulu recognised as an extremely-low-resource language. Dravidian languages are morphologically rich and are highly agglutinative in nature and there exist only a few NMT models for Kannada–Tulu language pairs. They exhibit poor translation scores as they fail to capture the linguistic features of the language. The proposed generic approach can benefit other low-resource Indic languages that have smaller parallel corpora for NMT tasks. Evaluation metrics like Bilingual Evaluation Understudy (BLEU), character-level F-score (chrF) and Word Error Rate (WER) are considered to obtain the improved translation scores for the linguistic-feature-embedded NMT model. These results hold promise for further experimentation with other low- and extremely-low-resource language pairs.
Is Immunohistochemical Galectin-3 Expression Associated with the Epithelial–Mesenchymal Transition in High- and Low-Grade Invasive Urothelial Carcinomas of the Bladder?
Authors: Cin Merve , Akyıldız İğdem Ayşenur , Bektaş Sibel , Gündoğar Özgecan , Cin Selçuk , Komut Neslihan , Çetin Buğra
Published: October 2024

Background/Objectives: Bladder cancer, predominantly urothelial carcinoma, is an important malignancy of the urinary system. Despite the same histologic grade and stage, some patients seem to have a worse prognosis. In this context, the epithelial–mesenchymal transition (EMT), characterized by the loss of E-cadherin and gain of vimentin expression, is an important process in tumor progression. Galectin-3, a lactose-binding protein involved in various cellular processes, has been associated with increased tumor cell migration, invasion, and treatment resistance. Methods: In this study, 223 bladder cancer cases were examined, and E-cadherin, vimentin, and galectin-3 expression was evaluated by immunohistochemical staining in tumor budding areas and invasive components. These markers were also correlated with clinicopathological parameters, including tumor grade and stage. Results: The results indicated a significant decrease in E-cadherin expression and an increase in vimentin staining in higher-grade and higher-stage tumors, supporting EMT involvement. Galectin-3 expression was notably higher in T1 high-grade tumors but decreased in T2 stage tumors. Despite this, no significant correlation was found between galectin-3 and E-cadherin or vimentin, suggesting a complex role of galectin-3 in EMT. Conclusions: High galectin-3 expression in T1 high-grade tumors highlights its potential role in early tumor progression and as a therapeutic target. However, the decrease in its expression in advanced stages underscores the need for further research to understand its multifaceted involvement in bladder cancer. These findings suggest that while galectin-3 may contribute to the EMT and early tumor progression, its exact role and potential as a therapeutic target require more detailed investigation.
Urine Extracellular Vesicles Size Subsets as Lupus Nephritis Biomarkers
Authors: Navarro-Hernandez Itze C. , Reyes-Huerta Raúl F. , Cañez-Hernández Mariana , Torres-Ruiz Jiram , Carrillo-Vázquez Daniel A. , Whittall-García Laura P. , Meza-Sánchez David E. , Juárez-Vega Guillermo , Gómez-Martin Diana , Hernández-Hernández José M. , Maravillas-Montero José L.
Published: October 2024

Systemic lupus erythematosus (SLE) is an autoimmune disorder that often leads to kidney injury, known as lupus nephritis (LN). Although renal biopsy is the primary way to diagnose LN, it is invasive and not practical for regular monitoring. As an alternative, several groups have proposed urinary extracellular vesicles (uEVs) as potential biomarkers for LN, as recent studies have shown their significance in reflecting kidney-related diseases. As a result, we developed a flow cytometry approach that allowed us to determine that LN patients exhibited a significantly higher total uEV concentration compared to SLE patients without kidney involvement. Additionally, an analysis of different-sized uEV subsets revealed that microvesicles ranging from 0.3 to 0.5 μm showed the most promise for distinguishing LN. These findings indicate that evaluating uEV concentration and size distribution could be a valuable diagnostic and monitoring tool for LN, pending further validation in more comprehensive studies.
Post-Vasectomy Semen Analysis: What’s All the Fuss about?
Authors: Khalafalla Kareim , Ho Christopher Chee Kong , Chung Eric , Atmoko Widi , Shah Rupin , Agarwal Ashok
Published: October 2024

Vasectomy is a reliable male contraceptive method with a success rate exceeding 98%. Despite its efficacy, vasectomy is not foolproof, with potential early and late failures requiring careful postoperative monitoring via post-vasectomy semen analysis (PVSA). Published guidelines emphasize the necessity of conducting PVSA to ensure clinical sterility. Despite these clear guidelines, discrepancies in adherence and interpretation persist, with significant mismatches between guidelines and actual practice. Recent shifts in societal attitudes toward reproductive autonomy, spurred by significant political events and socioeconomic factors, have increased vasectomy rates, particularly among younger, childless men. This demographic change calls for enhanced PVSA compliance and clear communication about the non-immediate contraceptive effect of vasectomy. Home test kits have emerged as a convenient, though not always reliable, method for conducting PVSAs, which may require reevaluation in clinical practice. Given the variations across clinical guidelines and the challenges in achieving consistent PVSA outcomes, further research is needed to harmonize PVSA protocols across different health systems. PVSA is typically conducted between 8 and 16 weeks post-vasectomy, depending on the surgeon’s preference. Success is confirmed when a fresh, uncentrifuged sample exhibits either azoospermia, rare non-motile sperm (RNMS), or fewer than 100,000 non-motile sperm per milliliter. This effort will ensure that both patients and practitioners can rely on vasectomy as a safe and effective form of contraception. Effective patient counseling and strategic follow-up are crucial when it comes to managing expectations and ensuring compliance with post-vasectomy protocols, thereby minimizing the risk of unintended pregnancies post-procedure.
Caries Detection and Classification in Photographs Using an Artificial Intelligence-Based Model—An External Validation Study
Authors: Frenkel Elisabeth , Neumayr Julia , Schwarzmaier Julia , Kessler Andreas , Ammar Nour , Schwendicke Falk , Kühnisch Jan , Dujic Helena
Published: October 2024

Objective: This ex vivo diagnostic study aimed to externally validate a freely accessible AI-based model for caries detection, classification, localisation and segmentation using an independent image dataset. It was hypothesised that there would be no difference in diagnostic performance compared to previously published internal validation data. Methods: For the independent dataset, 718 dental images representing different stages of carious (n = 535) and noncarious teeth (n = 183) were retrieved from the internet. All photographs were evaluated by the dental team (reference standard) and the AI-based model (test method). Diagnostic performance was statistically determined using cross-tabulations to calculate accuracy (ACC), sensitivity (SE), specificity (SP) and area under the curve (AUC). Results: An overall ACC of 92.0% was achieved for caries detection, with an ACC of 85.5–95.6%, SE of 42.9–93.3%, SP of 82.1–99.4% and AUC of 0.702–0.909 for the classification of caries. Furthermore, 97.0% of the cases were accurately localised. Fully and partially correct segmentation was achieved in 52.9% and 44.1% of the cases, respectively. Conclusions: The validated AI-based model showed promising diagnostic performance in detecting and classifying caries using an independent image dataset. Future studies are needed to investigate the validity, reliability and practicability of AI-based models using dental photographs from different image sources and/or patient groups.
Multi-View Soft Attention-Based Model for the Classification of Lung Cancer-Associated Disabilities
Authors: Esha Jannatul Ferdous , Islam Tahmidul , Pranto Md. Appel Mahmud , Borno Abrar Siam , Faruqui Nuruzzaman , Yousuf Mohammad Abu , Azad AKM , Al-Moisheer Asmaa Soliman , Alotaibi Naif , Alyami Salem A. , Moni Mohammad Ali
Published: October 2024

Background: The detection of lung nodules at their early stages may significantly enhance the survival rate and prevent progression to severe disability caused by advanced lung cancer, but it often requires manual and laborious efforts for radiologists, with limited success. To alleviate it, we propose a Multi-View Soft Attention-Based Convolutional Neural Network (MVSA-CNN) model for multi-class lung nodular classifications in three stages (benign, primary, and metastatic). Methods: Initially, patches from each nodule are extracted into three different views, each fed to our model to classify the malignancy. A dataset, namely the Lung Image Database Consortium Image Database Resource Initiative (LIDC-IDRI), is used for training and testing. The 10-fold cross-validation approach was used on the database to assess the model’s performance. Results: The experimental results suggest that MVSA-CNN outperforms other competing methods with 97.10% accuracy, 96.31% sensitivity, and 97.45% specificity. Conclusions: We hope the highly predictive performance of MVSA-CNN in lung nodule classification from lung Computed Tomography (CT) scans may facilitate more reliable diagnosis, thereby improving outcomes for individuals with disabilities who may experience disparities in healthcare access and quality.
Improved Execution Efficiency of FPE Scheme Algorithm Based on Structural Optimization
Authors: Yang Xian-Wei , Wang Lan , Xing Ma-Li , Li Qiang
Published: October 2024

The model of preserving a format encryption scheme based on a Feistel structure has developed rapidly and has been widely used in recent years. In this paper, the software implementation of the FF1 algorithm for the model was presented, and its execution efficiency was evaluated. Then, the efficiency bottleneck problem and its causes were identified. Based on the above analysis results, optimization methods were given from the perspectives of prepossessing, algorithm structure, and format conversion function, and implementation plans were provided. Finally, the simulation results show that the optimized performance improvement is significant, and the degree of performance improvement increases with the increase in plain text length.
Microexpression Recognition Method Based on ADP-DSTN Feature Fusion and Convolutional Block Attention Module
Authors: Song Junfang , Lei Shanzhong , Wu Wenzhe
Published: October 2024

Microexpressions are subtle facial movements that occur within an extremely brief time frame, often revealing suppressed emotions. These expressions hold significant importance across various fields, including security monitoring and human–computer interaction. However, the accuracy of microexpression recognition is severely constrained by the inherent characteristics of these expressions. To address the issue of low detection accuracy regarding the subtle features present in microexpressions’ facial action units, this paper proposes a microexpression action unit detection algorithm, Attention-embedded Dual Path and Shallow Three-stream Networks (ADP-DSTN), that incorporates an attention-embedded dual path and a shallow three-stream network. First, an attention mechanism was embedded after each Bottleneck layer in the foundational Dual Path Networks to extract static features representing subtle texture variations that have significant weights in the action units. Subsequently, a shallow three-stream 3D convolutional neural network was employed to extract optical flow features that were particularly sensitive to temporal and discriminative characteristics specific to microexpression action units. Finally, the acquired static facial feature vectors and optical flow feature vectors were concatenated to form a fused feature vector that encompassed more effective information for recognition. Each facial action unit was then trained individually to address the issue of weak correlations among the facial action units, thereby facilitating the classification of microexpression emotions. The experimental results demonstrated that the proposed method achieved great performance across several microexpression datasets. The unweighted average recall (UAR) values were 80.71%, 89.55%, 44.64%, 80.59%, and 88.32% for the SAMM, CASME II, CAS(ME)3, SMIC, and MEGC2019 datasets, respectively. The unweighted F1 scores (UF1) were 79.32%, 88.30%, 43.03%, 81.12%, and 88.95%, respectively. Furthermore, when compared to the benchmark model, our proposed model achieved better performance with lower computational complexity, characterized by a Floating Point Operations (FLOPs) value of 1087.350 M and a total of 6.356 × 106 model parameters.
Model Predictive Control of Aero-Mechanical Actuators with Consideration of Gear Backlash and Friction Compensation
Authors: Zuo Qixuan , Wang Bo , Chen Jingbo , Dong Haiying
Published: October 2024

To address the issues of low positional accuracy and significant torque pulsation caused by gear backlash and nonlinear friction in the mechanical transmission mechanism of aeronautical flap electromechanical actuators, we propose a model predictive control method for flap electromechanical actuator considering gear backlash and friction compensation. Firstly, we model the gear backlash in the electromechanical actuator’s mechanical transmission mechanism and design a corresponding torque current compensation method using a simplified dead zone model. Secondly, the LuGre compensation friction model is introduced, and a friction torque current compensation method is developed to address the nonlinear friction torque generated during system operation. Finally, the proposed current compensation strategies are employed to mitigate the adverse effects of gear backlash and nonlinear friction on system control performance. The simulation results demonstrate that the proposed method enhances position tracking accuracy, reduces torque pulsation, and significantly improves the overall control performance of the system.
A Novel Electromagnetic Sensing Generative Adversarial Network for Uniaxial Objects
Authors: Chiu Chien-Ching , Chen Po-Hsiang , Jiang Hao , Shi Bo-Yu
Published: October 2024

Electromagnetic imaging achieves enhanced resolution by leveraging the advanced sensing and data analysis capabilities of Internet of Things (IoT) systems. This paper introduces a novel learning approach for generative adversarial networks (GANs) to tackle significant challenges in electromagnetic sensing. The proposed method involves deploying additional transmitters and receivers to irradiate TM (transverse magnetic) and TE (transverse electric) polarization waves around uniaxial objects to capture the scattered field in free space. Subsequently, scattered field generative adversarial networks (SF-GANs) are utilized to simulate and learn the characteristics of Maxwell’s equations. Numerical simulations and experimental results demonstrate the superior performance of the SF-GANs compared to backpropagation generative adversarial networks (BP-GANs). Furthermore, it is worth noting that our method is capable of reconstructing high-dielectric-constant objects.
Carrier Phase-Based Underwater Source Localization for Ultrashort Baseline
Authors: Lee Hojun , Seo Bogeun , Kim Kyewon , Ko Haklim
Published: October 2024

In this paper, we propose a phase-based pseudorange estimation and source localization algorithm to improve the localization performances of ultrashort baseline (USBL) systems. The conventional USBL system estimates pseudorange through cross-correlation of received chirps. However, due to the limited sampling rate, precise pseudorange cannot be estimated, resulting in low localization performance. The proposed method calculates the number of wavelengths between the transducer and receiver and detects the initial phase to estimate the pseudorange more accurately than the conventional method. It also improves localization performance by estimating and compensating for phase variations by underwater channels. The source localization performances of the proposed method and the conventional methods were compared and analyzed through computer simulations and ocean experiments, and the proposed method had better localization performances than the conventional methods.
Global Horizontal Irradiance in Brazil: A Comparative Study of Reanalysis Datasets with Ground-Based Data
Authors: Araujo Margarete Afonso de Sousa Guilhon , Aguilar Soraida , Souza Reinaldo Castro , Cyrino Oliveira Fernando Luiz
Published: October 2024

Renewable energy sources are increasing globally, mainly due to efforts to achieve net zero emissions. In Brazil, solar photovoltaic electricity generation has grown substantially in recent years, with the installed capacity rising from 2455 MW in 2018 to 47,033 MW in August 2024. However, the intermittency of solar energy increases the challenges of forecasting solar generation, making it more difficult for decision-makers to plan flexible and efficient distribution systems. In addition, to forecast power generation to support grid expansion, it is essential to have adequate data sources, but measured climate data in Brazil is limited and does not cover the entire country. To address this problem, this study evaluates the global horizontal irradiance (GHI) of four global reanalysis datasets—MERRA-2, ERA5, ERA5-Land, and CFSv2—at 35 locations across Brazil. The GHI time series from reanalysis was compared with ground-based measurements to assess its ability to represent hourly GHI in Brazil. Results indicate that MERRA-2 performed best in 90% of the locations studied, considering the root mean squared error. These findings will help advance solar forecasting by offering an alternative in regions with limited observational time series measurements through the use of reanalysis datasets.
Navigating Economies of Scale and Multiples for Nuclear-Powered Data Centers and Other Applications with High Service Availability Needs
Authors: Hanna Botros N. , Abou-Jaoude Abdalla , Guaita Nahuel , Talbot Paul , Lohse Christopher
Published: October 2024

Nuclear energy is increasingly being considered for such targeted energy applications as data centers in light of their high capacity factors and low carbon emissions. This paper focuses on assessing the tradeoffs between economies of scale versus mass production to identify promising reactor sizes to meet data center demands. A framework is then built using the best cost estimates from the literature to identify ideal reactor power sizes for the needs of the given data center. Results should not be taken to be deterministic but highlight the variability of ideal reactor power output against the required demand. While certain advocates claim that with the gigawatts of clean, firm energy needed, large plants are ideal, others advocate for SMRs that can be deployed in large quantities and reap the benefits from learning effects. The findings of this study showcase that identifying the optimal size for a reactor is likely more nuanced and dependent on the application and its requirements. Overall, the study does show potential economic promise for coupling nuclear reactors to data centers and industrial heat applications under certain key conditions and assumptions.
Research on the Flicker Effect in Modern Light Sources Powered by an Electrical Network
Authors: Masnicki Romuald , Mindykowski Janusz , Palczynska Beata , Werner Dawid
Published: October 2024

Disruptions in power quality have a negative impact on many energy consumers. These include lighting, where interference manifests itself, among others, in the form of light flickering. The article presents phenomena accompanying the operation of modern light sources against the background of exemplary results of studies on the flicker of conventional light sources, such as incandescent or fluorescent lamps. The flickering effect of light generated in modern lamps can occur under stable voltage conditions in the supply network. The main subjects of the conducted research were solid-state light sources—light-emitting diode (LED) lamps, currently available on the lighting market. To assess the effects of these phenomena, it is necessary to use measures other than those traditionally used. The method used allows for the measurement of flicker resulting from both power supply disturbances and the properties of modern light sources. Using the developed measurement system, it is possible to record temporal changes in flicker coefficients resulting from, for example, changing supply voltage conditions. Due to the possibility of flickering light from sources offered by different manufacturers, as shown by research, it is advisable to carry out measurements at the place of use of the lighting.
Impact of Organic Load on Methane Yields and Kinetics during Anaerobic Digestion of Sugarcane Bagasse: Optimal Feed-to-Inoculum Ratio and Total Solids of Reactor Working Volume
Authors: Puthumana Amal Babu , Kaparaju Prasad
Published: October 2024

The effect of increasing organic load on the specific methane yields (SMYs) and kinetics of methane production during the anaerobic digestion (AD) of sugarcane bagasse (SB) was investigated in batch experiments at 37 °C. The organic load of the batch AD system was increased based on an increase in the feed-to-inoculum (F/I) ratio (T1–T5) and increase in the Total Solids (TS)% of the working volume (T6–T10). The results show that in both the treatment sets, an increase in organic load led to a decrease in SMY. Higher organic loads in terms of F/I ratio (T4 and T5) were inhibited due to Volatile Fatty Acid (VFA) accumulation. On the other hand, higher organic loads (T8, T9 and T10) in terms of the higher TS% of the working volume was inhibited by the accumulation of NH4-N. Thus, an organic load of 50 gVS/L at an F/I ratio = 1.0 and TS = 10% (T3) was found to be the highest organic load that had no significant inhibitions among the tested treatments. The results from the kinetic studies show that the first-order kinetic model is the best fit for the SMY data, with average differences% of 2.32% and 3.13% for treatments T1–T5 and T6–T10, respectively.
Effect of Energy Poverty Alleviation on High-Quality Economic Development: An Empirical Study Based on China
Authors: Yang Fang , Gan Qinfan
Published: October 2024

High-quality development (HQD) has been listed as the first and foremost task in building a modern socialist country in all respects and also an overarching issue of China’s economic and social development in the new era. To achieve economic HQD, a key approach lies in integrating energy development with poverty alleviation and fully leveraging the foundational role of energy infrastructure and supply services in reducing poverty. Using the provincial panel data from 2007 to 2017, this paper analyzes the impact of energy poverty alleviation on economic HQD from multiple dimensions in an empirical way and draws the following conclusions: first, energy poverty alleviation drives the economic growth of China’s eastern region and western region, but it cannot effectively promote the synchronous economic growth of the central region, thereby resulting in a greater imbalance in regional development; second, energy poverty alleviation has an effect on reducing the urban–rural income inequality, and such an effect is more significant in the western region; and finally, energy poverty alleviation has a significant effect on promoting economic HQD, and the effect is more significant in the central region and the western region. Furthermore, the transmission mechanism of energy poverty alleviation driving HQD is tested. It is found that energy poverty alleviation can drive HQD by promoting urbanization and technological progress.
Analysis of Energy Transfer in the Ignition System for High-Speed Combustion Engines
Authors: Szwajca Filip , Wisłocki Krzysztof , Różański Marcin
Published: October 2024

In order to produce reliable and reproducible ignition of lean fuel–air mixtures and highly stratified mixtures, it is necessary to ensure a high concentration of spark discharge energy and to provide a strong energy impulse for the triggering of chain processes of chemical decomposition of fuel molecules. For this reason, studies have been undertaken on the flow of electrical energy from the ignition system to the spark plug and on the formation of an electric discharge arc with a high concentration of thermal energy. The experimental results were obtained using an ignition coil energy test stand and a constant volume chamber with high-speed spark discharge recording capability. It was confirmed that increasing the charging time of the ignition coil from 0.5 ms to 5.0 ms increases the energy delivered to the coil from 9.5 mJ to 330 mJ. In the same range, the energy generated by the coil was recorded to range from 4.2 mJ to 70 mJ. The coil’s efficiency was found to decrease with increasing charging time from 45% up to 20.5%. Further energy losses were presented when the spark discharge energy was analyzed. In the paper, the results of investigations concerning electric discharge arc development have been presented, illustrated by a few exemplary photos, and discussed. The mathematical interpretation of the electrical energy flux in the ignition system resulting from the energy of the discharge arc has been conducted and illustrated by some functional independences and relationships.