bluuebunny/crossref_metadata_2025 huggingface dataset:
Insights into the Neuroprotective Potential of Epicatechin: Effects against Aβ-Induced Toxicity in Caenorhabditis elegans
Authors: Ayuda-Durán Begoña , Garzón-García Lidia , González-Manzano Susana , Santos-Buelga Celestino , González-Paramás Ana M.
Published: January 2024

Medical therapies to avoid the progression of Alzheimer’s disease (AD) are limited to date. Certain diets have been associated with a lower incidence of neurodegenerative diseases. In particular, the regular intake of foods rich in polyphenols, such as epicatechin (EC), could help prevent or mitigate AD progression. This work aims to explore the neuroprotective effects of EC using different transgenic strains of Caenorhabditis elegans, which express human Aβ1-42 peptides and contribute to elucidating the mechanisms involved in the effects of EC in AD. The performed assays indicate that this flavan-3-ol was able to reduce the signs of β-amyloid accumulation in C. elegans, improving motility and chemotaxis and increasing survival in transgenic strain peptide producers compared to nematodes not treated with EC. The neuroprotective effects exhibited by EC in C. elegans could be explained by the modulation of inflammation and stress-associated genes, as well as autophagy, microgliosis, and heat shock signaling pathways, involving the regulation of cpr-5, epg-8, ced-7, ZC239.12, and hsp-16 genes. Overall, the results obtained in this study support the protective effects of epicatechin against Aβ-induced toxicity.
Advanced Preprocessing Technique for Tomato Imagery in Gravimetric Analysis Applied to Robotic Harvesting
Authors: Beisekenov Nail , Hasegawa Hideo
Published: January 2024

In this study, we improve the efficiency of automated tomato harvesting by integrating deep learning into state-of-the-art image processing techniques, which improves the accuracy and efficiency of detection algorithms for robotic systems. We develop a hybrid model that combines convolutional neural networks’ dual two-dimensional matrices for classification and part affinity fields. We use data augmentation to improve the robustness of the model and reduce overfitting. Additionally, we apply transfer learning to solve the challenging problem of improving the accuracy of identifying a tomato’s center of gravity. When tested on 2260 diverse images, our model achieved a recognition accuracy of 96.4%, thus significantly outperforming existing algorithms. This high accuracy, which is specific to the environmental conditions and tomato varieties used, demonstrates the adaptability of the model to real-world agricultural conditions. Our results represent a significant advancement in the field of agricultural autotomization by demonstrating an algorithm that not only identifies ripe tomatoes for robotic harvesting with high accuracy, but also adapts to various agricultural conditions. This algorithm should reduce manual labor in agriculture and offer a more efficient and scalable approach for the future agricultural industry.
Cross-Feature Transfer Learning for Efficient Tensor Program Generation
Authors: Verma Gaurav , Raskar Siddhisanket , Emani Murali , Chapman Barbara
Published: January 2024

Tuning tensor program generation involves navigating a vast search space to find optimal program transformations and measurements for a program on the target hardware. The complexity of this process is further amplified by the exponential combinations of transformations, especially in heterogeneous environments. This research addresses these challenges by introducing a novel approach that learns the joint neural network and hardware features space, facilitating knowledge transfer to new, unseen target hardware. A comprehensive analysis is conducted on the existing state-of-the-art dataset, TenSet, including a thorough examination of test split strategies and the proposal of methodologies for dataset pruning. Leveraging an attention-inspired technique, we tailor the tuning of tensor programs to embed both neural network and hardware-specific features. Notably, our approach substantially reduces the dataset size by up to 53% compared to the baseline without compromising Pairwise Comparison Accuracy (PCA). Furthermore, our proposed methodology demonstrates competitive or improved mean inference times with only 25–40% of the baseline tuning time across various networks and target hardware. The attention-based tuner can effectively utilize schedules learned from previous hardware program measurements to optimize tensor program tuning on previously unseen hardware, achieving a top-5 accuracy exceeding 90%. This research introduces a significant advancement in autotuning tensor program generation, addressing the complexities associated with heterogeneous environments and showcasing promising results regarding efficiency and accuracy.
Design of a Modular Energy Production–Storage System for a Sustainable Bicycle
Authors: Velázquez José S. , Cavas Francisco , Valverde-Martínez Juan A. , Ignacio Mulero-Martínez Juan
Published: January 2024

This paper presents a new concept of a modular system for the production and storage of energy in a bicycle at any speed above 9 km/h. User-Centered Design methodology was applied to establish the design premises, and then each component of the modular system was selected, developed, and refined separately, carrying out all component integration (hub dynamo, USB charger, batteries, and solar panel) by means of a simple extension cable. Then, simulations were made with different software tools to create a design candidate. A new design of an integrated modular energy production–storage system was obtained, aiming to cover the needs of long-distance bikers and daily bike commuters. The designed system can charge its own batteries and power devices connected to the USB charger from a speed of 9 km/h. The system entails a modular integration solution that is not only cost-effective but also highly efficient. Its ergonomic design allows users to effortlessly replace batteries as and when needed. Current models on the market do not possess this integration.
Influence of the Salt Addition during the Fermentation Process on the Physical and Chemical Properties of Dried Yellow Beetroot
Authors: Wierzbicka Anna , Janiszewska-Turak Emilia
Published: January 2024

The demand for functional foods is increasing, particularly concerning plant-based probiotic products. These products are becoming a popular alternative to dairy-based options. However, fermented vegetables have a high salt content, which can have negative effects on health if consumed excessively. There has been difficulty in finding the right balance in terms of the salt concentration for the high-quality fermentation of vegetables. To preserve its valuable nutrients and ensure maximum quality, as a vegetable, yellow beetroot was used. The aim of this study was to increase the lactic acid bacteria and preserve the active compounds in fermented yellow beetroot. The research used varying salt levels in brine (0–6%) to examine their impact on the physical, chemical, and microbiological properties, as well as the degradation temperatures and thermal analysis. Moreover, to create a new product, fermented beetroot was freeze-dried. This study found that stable products were obtained after 4 and 8 days due to the development of lactic acid bacteria. The addition of salt did not affect the stability of the products, but it did affect the active ingredients. Higher salt additions resulted in more salt penetrating into the beetroot tissue, impacting the amount of salt consumed. Our study found that a 1% addition of salt led to higher levels of active ingredients and satisfactory amounts of bacteria. Yellow beetroot, with its high content of polyphenols, pigments and lactic acid bacteria, can be used as a healthy ingredient in a diet after undergoing a freeze-drying process. These research findings provide valuable insights into optimizing the salt content to preserve the lactic acid bacteria, nutrients, and desirable color characteristics of fermented yellow beetroot.
Review of EEG-Based Biometrics in 5G-IoT: Current Trends and Future Prospects
Authors: Beyrouthy Taha , Mostafa Nour , Roshdy Ahmed , Karar Abdullah , Alkork Samer
Published: January 2024

The increasing integration of the Internet of Things (IoT) into daily life has led to significant changes in our social interactions. The advent of innovative IoT solutions, combined with the enhanced capabilities and expanded reach of 5G wireless networks, is altering the way humans interact with machines. Notably, the advancement of edge computing, underpinned by 5G networks within IoT frameworks, has markedly extended human sensory perception and interaction. A key biometric within these IoT applications is electroencephalography (EEG), recognized for its sensitivity, cost-effectiveness, and distinctiveness. Traditionally linked to brain–computer interface (BCI) applications, EEG is now finding applications in a wider array of fields, from neuroscience research to the emerging area of neuromarketing. The primary aim of this article is to offer a comprehensive review of the current challenges and future directions in EEG data acquisition, processing, and classification, with a particular focus on the increasing reliance on data-driven methods in the realm of 5G wireless network-supported EEG-enabled IoT solutions. Additionally, the article presents a case study on EEG-based emotion recognition, exemplifying EEG’s role as a biometric tool in the IoT domain, propelled by 5G technology.
A Study of the Impact of the Use of Real-Time Crowding Information on the Perceived Service Quality of High-Speed Rail by Passengers with Unfixed-Seat Tickets
Authors: Xu Xing , Cong Jiaqi , Xia Tiansheng
Published: January 2024

Unfixed-seat tickets are one of the supplementary forms of tickets used when the transport capacity of high-speed rail is insufficient; however, the needs of passengers with unfixed-seat tickets are often neglected. To understand the influence of unfixed-seat tickets on passengers’ perception of the quality of high-speed rail service, including their satisfaction, this study takes the provision of real-time crowding information (RTCI) as the independent variable and the satisfaction of passengers with unfixed-seat tickets with the quality of the high-speed rail service as the dependent variable, and adds social anxiety as a moderating variable, to construct a model. We conducted experiments and gathered data through questionnaires. The results showed that the implementation of RTCI has a significant impact on the satisfaction levels about high-speed railway service quality. In comparison to scenarios without RTCI or with RTCI failure, successful RTCI implementation can significantly enhance user satisfaction. Additionally, the moderating effect of social anxiety is significant. Perceived satisfaction did not significantly differ for individuals with low social anxiety in the absence of RTCI or in cases where RTCI failed; however, for individuals with high social anxiety, perceived satisfaction was significantly lower when RTCI failed compared to the No-RTCI condition. The potential practical implications of these findings are discussed.
Transmission Tower Re-Identification Algorithm Based on Machine Vision
Authors: Chen Lei , Yang Zuowei , Huang Fengyun , Dai Yiwei , Liu Rui , Li Jiajia
Published: January 2024

Transmission tower re-identification refers to the recognition of the location and identity of transmission towers, facilitating the rapid localization of transmission towers during power system inspection. Although there are established methods for the defect detection of transmission towers and accessories (such as crossarms and insulators), there is a lack of automated methods for transmission tower identity matching. This paper proposes an identity-matching method for transmission towers that integrates machine vision and deep learning. Initially, the method requires the creation of a template library. Firstly, the YOLOv8 object detection algorithm is employed to extract the transmission tower images, which are then mapped into a d-dimensional feature vector through a matching network. During the training process of the matching network, a strategy for the online generation of triplet samples is introduced. Secondly, a template library is built upon these d-dimensional feature vectors, which forms the basis of transmission tower re-identification. Subsequently, our method re-identifies the input images. Firstly, we propose that the YOLOv5n-conv head detects and crops the transmission towers in images. Secondly, images without transmission towers are skipped; for those with transmission towers, The matching network maps transmission tower instances into feature vectors. Ultimately, transmission tower re-identification is realized by comparing feature vectors with those in the template library using Euclidean distance. Concurrently, it can be combined with GPS information to narrow down the comparison range. Experiments show that the YOLOv5n-conv head model achieved a mean Average Precision at an Intersection Over Union threshold of 0.5 (mAP@0.5) score of 0.974 in transmission tower detection, reducing the detection speed by 2.4 ms compared to the original YOLOv5n. Integrating the online triplet sample generation into the matching network training with Inception-ResNet-v1 (d = 128) as the backbone enhanced the network’s rank-1 performance by 3.86%.
Monitoring Contractility of Junctional Zone Endometrium across Menstrual Cycle Using the ElectroUteroGraph (EUG): A Clinical Evaluation
Authors: Tanos Vasilios , Tanos Panayiotis , Georgiou Julius
Published: January 2024

(1) Background: Abnormal uterine contractility for nonpregnant women has been associated with gynecological pathologies and infertility. The objective of this study was to evaluate the ability of a novel monitoring technique to assess the contractility of the nongravid uterus using a simple, standardized, direct, in vivo methodology during the different phases of the menstrual cycle. (2) Methods: Twenty-six healthy women of reproductive age (28–48 years) were recruited. An ElectroUteroGraph (EUG) was used to measure the electrical activity from the contractility of the junctional zone endometrium (JZE) across the menstrual cycle. Derived recordings were separated into the early proliferative (EP) (n = 10), late proliferative (LP) (n = 31), early luteal (EL) (n = 27), and late luteal (LL) (n = 12) phases of the menstrual cycle. EUG recordings were performed by inserting a flexible electrode array into the endometrial cavity. (3) Results: Waveforms that were measured from the electrode closer to the fundus (1 cm distance) were processed. The Root-Mean-Square (RMS) Voltage Amplitude (VJZE-RMS) (in μV) and the Mean Frequency (fJZE-mean) (in cycles/min) of the JZE’s electrical activity, as direct indicators of the intensity and frequency changes in the JZE’s contractions, were extracted from the recorded waveforms. There was a trend in the median values of the VJZE-RMS decreasing from the EP to the LP phase (247–158 μV). During the EL phase, an upward trend was observed (158–374 μV, p < 0.05), reaching its highest value during the LL phase (374–477 μV, p < 0.05) when compared to the LP phase. The fJZE-mean showed the opposite trend, increasing from 2.5 cycles/min during the EP phase to 2.96 cycles/min during the LP phase. During the EL phase, a downward trend was observed (2.96–2.37 cycles/min), continuing to fall to 1.33 cycles/min, in the LL phase, with p < 0.05 when compared to the previous three phases. (4) Conclusions: The novel in vivo monitoring technique has shown clinically, for the first time, significant electrical activity differences in the different sub-phases of the menstrual cycle, recorded in a safe and painless way.
Better Understanding of Hydrogen Pellet Ablation Cloud Spectra through the Occupation Probability Formalism in LHD
Authors: Goto Motoshi , Motojima Gen , Sakamoto Ryuichi , Pégourié Bernard , Matsuyama Akinobu , Oishi Tetsutarou , Kawate Tomoko , Kawamoto Yasuko
Published: January 2024

We have recently incorporated the occupation probability formalism (OPF) in the simulation model [C. Stehlé and S. Jacquemot, Astron. Astrophys. 271, 348 (1993)] to have a smooth transition from discrete lines to continuum spectrum in the wavelength range near the Balmer series limit. We have analyzed spectra measured for the hydrogen pellet ablation cloud in the Large Helical Device with the revised model, and have found that the electron density in the ablation cloud has a close correlation with the electron temperature of the background plasma. This type of correlation is first confirmed in the present analysis and should give a new insight in the simulation studies of pellet ablation for the magnetically confined fusion plasma.
Cardiovascular Diseases Diagnosis Using an ECG Multi-Band Non-Linear Machine Learning Framework Analysis
Authors: Ribeiro Pedro , Sá Joana , Paiva Daniela , Rodrigues Pedro Miguel
Published: January 2024

Background: cardiovascular diseases (CVDs), which encompass heart and blood vessel issues, stand as the leading cause of global mortality for many people. Methods: the present study intends to perform discrimination between seven well-known CVDs (bundle branch block, cardiomyopathy, myocarditis, myocardial hypertrophy, myocardial infarction, valvular heart disease, and dysrhythmia) and one healthy control group, respectively, by feeding a set of machine learning (ML) models with 10 non-linear features extracted every 1 s from electrocardiography (ECG) lead signals of a well-known ECG database (PTB diagnostic ECG database) using multi-band analysis performed by discrete wavelet transform (DWT). The ML models were trained and tested using a leave-one-out cross-validation approach, assessing the individual and combined capabilities of features, per each lead or combined, to distinguish between pairs of study groups and for conducting a comprehensive all vs. all analysis. Results: the Accuracy discrimination results ranged between 73% and 100%, the Recall between 68% and 100%, and the AUC between 0.42 and 1. Conclusions: the results suggest that our method is a good tool for distinguishing CVDs, offering significant advantages over other studies that used the same dataset, including a multi-class comparison group (all vs. all), a wider range of binary comparisons, and the use of classical non-linear analysis under ECG multi-band analysis performed by DWT.
Development of Serotonergic and Dopaminergic Neuronal Networks of the Central Nervous System in King Crab, Paralithodes camtschaticus
Authors: Kotsyuba Elena , Pahlevaniane Arman , Maslennikov Sergei , Dyachuk Vyacheslav
Published: January 2024

This article presents recent findings as regards distribution of cells producing serotonin and dopamine in the larval central nervous system at different developmental stages, including four pelagic larval stages (zoea I–IV), a semibenthic postlarval stage glaucothoe (megalopa), benthic juveniles, and adult red king crabs, Paralithodes camtschaticus, made by using immunocytochemistry and confocal laser scanning microscopy. We have shown that the serotonergic and dopaminergic neurons are present long before the onset of metamorphosis. In the red king crab b larval nervous system, the changes become particularly pronounced during the first metamorphosis from zoea IV to glaucothoe, which may be related to the development of the segmental appendages and maturation of motor behaviors in decapods. This work presents the distribution and dynamics of the development of serotonergic and dopaminergic neuronal networks in king crab show, the potential roles of serotonin and dopamine in the modulation of olfactory and visual processing in the early stages of larval development, and also the mechanosensory and chemosensory processing in the glaucothoe stage during settlement and in their transition from a pelagic to benthic lifestyle.
Successful Introduction of Benralizumab for Eosinophilic Ascites
Authors: Belfeki Nabil , Ghriss Nouha , Zayet Souheil , El Hedhili Faten , Moini Cyrus , Lefevre Guillaume
Published: January 2024

Eosinophilic ascites is a rare disorder, reported in both adult and pediatric patients, characterized by high eosinophil counts in the peritoneal fluid. Eosinophilic ascites appears as a manifestation of various diseases such as parasitic and fungal infections, malignancy, and hypereosinophilic syndrome. It also represents an uncommon manifestation of eosinophilic gastroenteritis, usually treated with corticosteroids. We present the case of a 16-year-old woman with abdominal distention related to abundant ascites. Further work-up concluded that it was eosinophilic gastroenteritis complicated with eosinophilic ascites. The patient was on oral steroids for three weeks, but various abdominal relapses were observed, leading to the introduction of benralizumab, as a steroid-sparing therapy with a favorable outcome.
Extracellular Vesicles and Exosomes: Novel Insights and Perspectives on Lung Cancer from Early Detection to Targeted Treatment
Authors: Rahimian Sana , Najafi Hossein , Afzali Baran , Doroudian Mohammad
Published: January 2024

Lung cancer demands innovative approaches for early detection and targeted treatment. In addressing this urgent need, exosomes play a pivotal role in revolutionizing both the early detection and targeted treatment of lung cancer. Their remarkable capacity to encapsulate a diverse range of biomolecules, traverse biological barriers, and be engineered with specific targeting molecules makes them highly promising for both diagnostic markers and precise drug delivery to cancer cells. Furthermore, an in-depth analysis of exosomal content and biogenesis offers crucial insights into the molecular profile of lung tumors. This knowledge holds significant potential for the development of targeted therapies and innovative diagnostic strategies for cancer. Despite notable progress in this field, challenges in standardization and cargo loading persist. Collaborative research efforts are imperative to maximize the potential of exosomes and advance the field of precision medicine for the benefit of lung cancer patients.
Plant-Derived Polyphenols to Prevent and Treat Oral Mucositis Induced by Chemo- and Radiotherapy in Head and Neck Cancers Management
Authors: Belfiore Elena , Di Prima Giulia , Angellotti Giuseppe , Panzarella Vera , De Caro Viviana
Published: January 2024

Oral Mucositis (OM) is the most common side effect due to chemotherapy and radiotherapy, which are the conventional treatment options for head and neck cancers. OM is a severe inflammatory condition characterized by multifactorial etiopathogenesis. It further negatively affects patients’ quality of life by severe impairment of normal oral functions. Consequently, it is mandatory to identify new effective therapeutic approaches to both prevent and treat OM while also avoiding any recurrence. Polyphenols recently attracted the interest of the scientific community due to their low toxicity and wide range of biological activities making them ideal candidates for several applications in the odontostomatological field, particularly against OM. This review collects the in vivo studies and the clinical trials conducted over the past 13 years evaluating the preventive and curative effects of several polyphenolic compounds towards chemo- and radiotherapy-induced OM, both when administered alone or as a plant-extracted phytocomplex. The literature fully confirms the usefulness of these molecules, thus opening the possibility of their clinical application. However, polyphenol limitations (e.g., unfavourable physicochemical properties and susceptibility to degradation) have emerged. Consequently, the interest of the scientific community should be focused on developing innovative delivery systems able to stabilize polyphenols, thus facilitating topical administration and maximizing their efficacy.
Complex Sleeve Lobectomy Has Lower Postoperative Major Complications Than Pneumonectomy in Patients with Centrally Located Non-Small-Cell Lung Cancer
Authors: Voltolini Luca , Viggiano Domenico , Gonfiotti Alessandro , Borgianni Sara , Mugnaini Giovanni , Salvicchi Alberto , Bongiolatti Stefano
Published: January 2024

Background: Standard sleeve lobectomies are recommended over pneumonectomy (PN), but the efficacy and oncological proficiency of complex sleeve lobectomies (CSLs) have not been completely investigated. The aim of this study was to report our experience in CSL in patients affected by a centrally located non-small-cell lung cancer (NSCLC), comparing all the variables and outcomes with PN. Methods: From 2014 to 2022, we collected the data of patients who underwent PN and CSL for NSCLC, excluding neuroendocrine tumors, salvage surgery or carinal resection. Regression analysis was used to assess the association between procedures and complications; the Kaplan–Meier method and Cox regression analysis were used to evaluate survival and risk factors of reduced survival. Results: We analyzed n = 38 extended sleeve lobectomies and n= 6 double-sleeve lobectomies (CSL group) and n= 60 PNs. We had a trend toward higher postoperative mortality in the PN group (5% vs. 0%, p = 0.13). Major complications and bronchial fistula developed in 21.7% and 6.8% (p = 0.038) and in 6.7% and 4.5% (p = 0.64), respectively. The right side was identified as risk factor for major complications, whereas age > 70 and PN had a trend of association in multivariable analysis. The median OS was similar between the two groups (p = 0.76) and cancer recurrence was the only significant risk factors of reduced OS. Excluding functionally compromised patients, the OS of CSL was better than that of PN (67% vs. 42%, p = 0.25). Conclusions: Considering that major complications are often associated with mortality after surgery for centrally located NSCLC, CSLs could be considered an alternative to PN while also ensuring comparable survival.
Incidence and Risk Assessment of Capsular Contracture in Breast Cancer Patients following Post-Mastectomy Radiotherapy and Implant-Based Reconstruction
Authors: Vinsensia Maria , Schaub Riccarda , Meixner Eva , Hoegen Philipp , Arians Nathalie , Forster Tobias , Hoeltgen Line , Köhler Clara , Uzun-Lang Kristin , Batista Vania , König Laila , Zivanovic Oliver , Hennigs Andre , Golatta Michael , Heil Jörg , Debus Jürgen , Hörner-Rieber Juliane
Published: January 2024

Our study aims to identify the risk factors and dosimetry characteristics associated with capsular contracture. Methods: We retrospectively analyzed 118 women with breast cancer who underwent PMRT following an IBR between 2010 and 2022. Patients were treated with PMRT of 50.0–50.4 Gy in 25–28 fractions. Capsular contracture was categorized according to the Baker Classification for Reconstructed Breasts. Results: After a median follow-up of 22 months, the incidence of clinically relevant capsular contracture (Baker III–IV) was 22.9%. Overall, capsular contracture (Baker I–IV) occurred in 56 patients (47.5%) after a median of 9 months after PMRT. The rate of reconstruction failure/implant loss was 25.4%. In the univariate analysis, postoperative complications (prolonged pain, prolonged wound healing, seroma and swelling) and regional nodal involvement were associated with higher rates of capsular contracture (p = 0.017, OR: 2.5, 95% CI: 1.2–5.3 and p = 0.031, respectively). None of the analyzed dosimetric factors or the implant position were associated with a higher risk for capsular contracture. Conclusion: Postoperative complications and regional nodal involvement were associated with an increased risk of capsular contracture following breast reconstruction and PMRT, while none of the analyzed dosimetric factors were linked to a higher incidence. Additional studies are needed to identify further potential risk factors.
Moral Disengagement in Adolescent Offenders: Its Relationship with Antisocial Behavior and Its Presence in Offenders of the Law and School Norms
Authors: Agudelo Rico Daniela , Panesso Giraldo Carolina , Arbeláez Caro Joan Sebastian , Cabrera Gutiérrez Germán , Isaac Valeria , Escobar María Josefina , Herrera Eduar
Published: January 2024

This study focuses on understanding the relationship between moral disengagement mechanisms in adolescents who engage in law-breaking activities and those who violate school norms. To do so, we administered the Mechanisms of Moral Disengagement Scale (MMDS), which evaluates moral justification, euphemistic labeling, advantageous comparison, deflection of responsibility, diffusion of responsibility, distortion of consequences, dehumanization, and attribution of blame, to 366 adolescents (60.1% males (n = 220) and 39.9% females (n = 146)). Our results confirmed the hypothesis that law-breaking adolescents presented a higher degree of moral disengagement than those adolescents who violate school norms. Additionally, we found that adolescents who violated school norms displayed significantly higher levels of dehumanization than the controls, and law-breaking adolescents obtained the highest score in this domain. Our findings allow us to suggest that the presence of the dehumanization mechanism in adolescents who violate school norms could be used as an early indicator of the emergence of antisocial behaviors, since this was the only component of moral disengagement that significantly differentiated this group from the controls in the study.
Influence of Energetic Particles and Electron Injection on Minority Carrier Transport Properties in Gallium Oxide
Authors: Modak Sushrut , Ruzin Arie , Schulte Alfons , Chernyak Leonid
Published: January 2024

The influence of various energetic particles and electron injection on the transport of minority carriers and non-equilibrium carrier recombination in Ga2O3 is summarized in this review. In Ga2O3 semiconductors, if robust p-type material and bipolar structures become available, the diffusion lengths of minority carriers will be of critical significance. The diffusion length of minority carriers dictates the functionality of electronic devices such as diodes, transistors, and detectors. One of the problems in ultrawide-bandgap materials technology is the short carrier diffusion length caused by the scattering on extended defects. Electron injection in n- and p-type gallium oxide results in a significant increase in the diffusion length, even after its deterioration, due to exposure to alpha and proton irradiation. Furthermore, post electron injection, the diffusion length of an irradiated material exceeds that of Ga2O3 prior to irradiation and injection. The root cause of the electron injection-induced effect is attributed to the increase in the minority carrier lifetime in the material due to the trapping of non-equilibrium electrons on native point defects. It is therefore concluded that electron injection is capable of “healing” the adverse impact of radiation in Ga2O3 and can be used for the control of minority carrier transport and, therefore, device performance.
Advanced Sampling Technique in Radiology Free-Text Data for Efficiently Building Text Mining Models by Deep Learning in Vertebral Fracture
Authors: Hung Wei-Chieh , Lin Yih-Lon , Lin Chi-Wei , Chin Wei-Leng , Wu Chih-Hsing
Published: January 2024

This study aims to establish advanced sampling methods in free-text data for efficiently building semantic text mining models using deep learning, such as identifying vertebral compression fracture (VCF) in radiology reports. We enrolled a total of 27,401 radiology free-text reports of X-ray examinations of the spine. The predictive effects were compared between text mining models built using supervised long short-term memory networks, independently derived by four sampling methods: vector sum minimization, vector sum maximization, stratified, and simple random sampling, using four fixed percentages. The drawn samples were applied to the training set, and the remaining samples were used to validate each group using different sampling methods and ratios. The predictive accuracy was measured using the area under the receiver operating characteristics (AUROC) to identify VCF. At the sampling ratios of 1/10, 1/20, 1/30, and 1/40, the highest AUROC was revealed in the sampling methods of vector sum minimization as confidence intervals of 0.981 (95%CIs: 0.980–0.983)/0.963 (95%CIs: 0.961–0.965)/0.907 (95%CIs: 0.904–0.911)/0.895 (95%CIs: 0.891–0.899), respectively. The lowest AUROC was demonstrated in the vector sum maximization. This study proposes an advanced sampling method, vector sum minimization, in free-text data that can be efficiently applied to build the text mining models by smartly drawing a small amount of critical representative samples.
Patient Radiation Exposure during Enteroscopy-Assisted Endoscopic Retrograde Cholangiopancreatography in Surgically Altered Anatomy (with Video)
Authors: Monino Laurent , Moreels Tom G.
Published: January 2024

Background: Fluoroscopy must be used cautiously during endoscopic retrograde cholangiopancreatography (ERCP). Radiation exposure data in patients with surgically altered anatomy undergoing enteroscopy-assisted ERCP (EA-ERCP) are scarce. Methods: 34 consecutive EA-ERCP procedures were compared with 68 conventional ERCP (C-ERCP) procedures. Patient and procedure characteristics and radiation data were collected. Results: Surgical reconstructions were gastrojejunostomy, Roux-en-Y hepaticojejunostomy, Roux-en-Y total gastrectomy, Roux-en-Y gastric bypass and Whipple’s duodenopancreatectomy. Procedures were restricted to biliary indications. Mean fluoroscopy time was comparable in both groups (370 ± 30 s EA-ERCP vs. 393 ± 40 s C-ERCP, p = 0.7074), whereas total mean radiation dose was lower in EA-ERCP (83 ± 6 mGy) compared to C-ERCP (110 ± 11 mGy, p = 0.0491) and dose area product (DAP) was higher in EA-ERCP (2216 ± 173 µGy*m2) compared to C-ERCP (1600 ± 117 µGy*m2, p = 0.0038), as was total procedure time (77 ± 5 min vs. 39 ± 3 min, p < 0.0001). Enteroscope insertion to reach the bile duct during EA-ERCP took 28 ± 4 min, ranging from 4 to 90 min. These results indicate that C-ERCP procedures are generally more complex, needing magnified fluoroscopy, whereas EA-ERCP procedures take more time for enteroscope insertion under wide field fluoroscopic guidance (increased DAP) with less complex ERCP manipulation (lower total radiation dose). Conclusions: Radiation exposure during EA-ERCP in surgically altered anatomy is different as compared to C-ERCP. EA-ERCP takes longer with a higher DAP because of the enteroscope insertion, but with lower total radiation dose because these ERCP procedures are usually less complex.
Predicting the Invasiveness of Pulmonary Adenocarcinomas in Pure Ground-Glass Nodules Using the Nodule Diameter: A Systematic Review, Meta-Analysis, and Validation in an Independent Cohort
Authors: Liu Jieke , Yang Xi , Li Yong , Xu Hao , He Changjiu , Zhou Peng , Qing Haomiao
Published: January 2024

The nodule diameter was commonly used to predict the invasiveness of pulmonary adenocarcinomas in pure ground-glass nodules (pGGNs). However, the diagnostic performance and optimal cut-off values were inconsistent. We conducted a meta-analysis to evaluate the diagnostic performance of the nodule diameter for predicting the invasiveness of pulmonary adenocarcinomas in pGGNs and validated the cut-off value of the diameter in an independent cohort. Relevant studies were searched through PubMed, MEDLINE, Embase, and the Cochrane Library, from inception until December 2022. The inclusion criteria comprised studies that evaluated the diagnostic accuracy of the nodule diameter to differentiate invasive adenocarcinomas (IAs) from non-invasive adenocarcinomas (non-IAs) in pGGNs. A bivariate mixed-effects regression model was used to obtain the diagnostic performance. Meta-regression analysis was performed to explore the heterogeneity. An independent sample of 220 pGGNs (82 IAs and 128 non-IAs) was enrolled as the validation cohort to evaluate the performance of the cut-off values. This meta-analysis finally included 16 studies and 2564 pGGNs (761 IAs and 1803 non-IAs). The pooled area under the curve, the sensitivity, and the specificity were 0.85 (95% confidence interval (CI), 0.82–0.88), 0.82 (95% CI, 0.78–0.86), and 0.73 (95% CI, 0.67–0.78). The diagnostic performance was affected by the measure of the diameter, the reconstruction matrix, and patient selection bias. Using the prespecified cut-off value of 10.4 mm for the mean diameter and 13.2 mm for the maximal diameter, the mean diameter showed higher sensitivity than the maximal diameter in the validation cohort (0.85 vs. 0.72, p < 0.01), while there was no significant difference in specificity (0.83 vs. 0.86, p = 0.13). The nodule diameter had adequate diagnostic performance in differentiating IAs from non-IAs in pGGNs and could be replicated in a validation cohort. The mean diameter with a cut-off value of 10.4 mm was recommended.
Comparative Analysis of Microbial Species and Multidrug Resistance Patterns in Acute Cholangitis Patients with Cholecystectomy: A Single-Center Study
Authors: Miutescu Bogdan , Vuletici Deiana , Burciu Calin , Bende Felix , Ratiu Iulia , Moga Tudor , Gadour Eyad , Reddy Shruta , Sandru Vasile , Balan Gheorghe , Dancu Greta , Maralescu Felix-Mihai , Popescu Alina
Published: January 2024

This study aimed to compare microbial species and multidrug resistance patterns in acute cholangitis patients with and without a history of cholecystectomy, highlighting potential differences We hypothesized that post-cholecystectomy patients would exhibit distinct microbial spectra and resistance patterns. Conducted at a western Romanian hospital specializing in gastroenterology and hepatobiliary diseases from 2020 to 2023, this retrospective study included 488 acute cholangitis patients, divided into groups based on their cholecystectomy history. Bile and blood samples were analyzed for microbial identification and antibiotic susceptibility using VITEK®2. Positive biliary cultures were found in 66% of patients. The cholecystectomy group showed a higher prevalence of multidrug-resistant organisms, with 74.4% exhibiting resistance compared to 31.5% in the non-cholecystectomy group (p < 0.001). Notable microbial differences included higher occurrences of Escherichia coli (40.2%) and Enterococcus spp. (32.4%) in the cholecystectomy group. Resistance to Piperacillin/Tazobactam and Penems was significantly higher in this group, with odds ratios of 3.25 (p < 0.001) and 2.80 (p = 0.001), respectively, for the development of multidrug-resistant (MDR) bacterial species. The study confirmed our hypothesis, revealing distinct microbial profiles and a higher prevalence of multidrug resistance in acute cholangitis post-cholecystectomy patients. These findings underscore the need for tailored antibiotic strategies in managing acute cholangitis in this patient demographic.
A Unified Gas-Kinetic Particle Method for Radiation Transport in an Anisotropic Scattering Medium
Authors: Hu Yuan , Liu Chang , Shen Huayun , Xiao Gang , Li Jinghong
Published: January 2024

In this paper, a unified gas kinetic particle (UGKP) method is developed for radiative transfer in both absorbing and anisotropic scattering media. This numerical method is constructed based on our theoretical work on the model reduction for an anisotropic scattering system. The macroscopic solver of this method directly solves the macroscopic anisotropic diffusion equations, eliminating the need to solve higher-order moment equations. The reconstruction of macroscopic scattering source in the microscopic solver, based on the multiscale equivalent phase function we proposed in this work, has also been simplified as one single scattering process, significantly reducing the computational costs. The proposed method has also the property of asymptotic preserving. In the optically thick regime, the proposed method solves the diffusion limit equations for an anisotropic system. In the optically thin regime, the kinetic processes of photon transport are simulated. The consistency and efficiency of the proposed method have been validated by numerical tests in a wide range of flow regimes. The novel equivalent scattering source reconstruction can be used for various transport processes, and the proposed numerical scheme is widely applicable in high-energy density engineering applications.
Designing Sustainable Ethanol Oxidation Catalysts: The Role of Graphene Oxide in NiCuGO Composite Material
Authors: Wala-Kapica Marta , Szewczyk Magdalena , Simka Wojciech
Published: January 2024

The growing world population with the growth of civilization is causing the demand for electric energy to increase every year. For this reason, new energy sources such as fuel cells are becoming more and more needed, especially when they can use renewable fuel such as ethanol. This simple organic alcohol can be easily produced in a fermentation process using organic waste. Its oxidation might be used as a source for electricity; however, due to the lack of proper electrocatalytic materials, such a solution is not popular. A simple method of NiCuGO composite preparation via electrodeposition from a water-based solution containing graphene oxide suspension is proposed. The activity of the prepared material is proven, with higher current densities observed for the composite powder. The highest peak current density is observed for NiCuGO deposited with a higher current density. The observed ipA of 8.6 mA cm−2 has been higher than that reported by other researchers.
N − k Static Security Assessment for Power Transmission System Planning Using Machine Learning
Authors: Alvarez David L. , Gaha Mohamed , Prévost Jacques , Côté Alain , Abdul-Nour Georges , Meango Toualith Jean-Marc
Published: January 2024

This paper presents a methodology for static security assessment of transmission network planning using machine learning (ML). The objective is to accelerate the probabilistic risk assessment of the Hydro-Quebec (HQ) TransÉnergie transmission grid. The model takes the expected power supply and the status of the elements in a N−k contingency scenario as inputs. The output is the reliability metric Expecting Load Shedding Cost (ELSC). To train and test the regression model, stochastic data are performed, resulting in a set of N−k and k=1,2,3 contingency scenarios used as inputs. Subsequently, the output is computed for each scenario by performing load shedding using an optimal power flow algorithm, with the objective function of minimizing ELSC. Experimental results on the well-known IEEE-39 bus test system and PEGASE-1354 system demonstrate the potential of the proposed methodology in generalizing ELSC during an N−k contingency. For up to k=3 the coefficient of determination R2 obtained was close to 98% for both case studies, achieving a speed-up of over four orders of magnitude with the use of a Multilayer Perceptron (MLP). This approach and its results have not been addressed in the literature, making this methodology a contribution to the state of the art.
Geothermal Solutions for Urban Energy Challenges: A Focus on CO2 Plume Geothermal Systems
Authors: Antoneas George , Koronaki Irene
Published: January 2024

The utilization of geological formations, distinguished by natural porosity and permeability and protected by low-permeability caprock, has emerged as an effective strategy for carbon dioxide (CO2) storage. This method significantly contributes to mitigating anthropogenic greenhouse gas emissions and addressing the challenges of climate change. Recent research has unveiled the potential of CO2 to enhance geothermal heat energy extraction in geothermal reservoirs by acting as a subsurface heat exchange fluid. This review paper explores the viability of CO2 in augmenting geothermal heat energy extraction, comparing it to conventional water-based geothermal systems. Special emphasis is placed on CO2 plume geothermal (CPG) systems, characterized by rapid deployment and long-term utilization of geothermal energy resources. With the overarching objective of establishing net-zero energy communities, the analysis of such systems offers a comprehensive understanding of their features, providing a fresh perspective on extracted energy within the context of energy supply in integrated, sustainable energy in built systems. Notably, these systems demonstrate efficacy in meeting the power requirements of an energy community, spanning both distinct heating and electricity needs. However, the key challenge lies in selecting suitable locations. This scientific review aims to comprehend the characteristics of CPG under specific temperature and pressure conditions while optimizing subsurface permeability. This insight is pivotal for identifying future locations for CPG operations with the intent of powering small energy communities.
A Review of the Synthesis of Biopolymer Hydrogel Electrolytes for Improved Electrode–Electrolyte Interfaces in Zinc-Ion Batteries
Authors: Vandeginste Veerle , Wang Junru
Published: January 2024

The market for electric vehicles and portable and wearable electronics is expanding rapidly. Lithium-ion batteries currently dominate the market, but concerns persist regarding cost and safety. Consequently, alternative battery chemistries are investigated, with zinc-ion batteries (ZIBs) emerging as promising candidates due to their favorable characteristics, including safety, cost-effectiveness, theoretical volumetric capacity, energy density, and ease of manufacturing. Hydrogel electrolytes stand out as advantageous for ZIBs compared to aqueous electrolytes. This is attributed to their potential application in flexible batteries for wearables and their beneficial impact in suppressing water-induced side reactions, zinc dendrite formation, electrode dissolution, and the risk of water leakage. The novelty of this review lies in highlighting the advancements in the design and synthesis of biopolymer hydrogel electrolytes in ZIBs over the past six years. Notable biopolymers include cellulose, carboxymethyl cellulose, chitosan, alginate, gelatin, agar, and gum. Also, double-network and triple-network hydrogel electrolytes have been developed where biopolymers were combined with synthetic polymers, in particular, polyacrylamide. Research efforts have primarily focused on enhancing the mechanical properties and ionic conductivity of hydrogel electrolytes. Additionally, there is a concerted emphasis on improving the electrochemical performance of semi-solid-state ZIBs. Moreover, some studies have delved into self-healing and adhesive properties, anti-freezing characteristics, and the multifunctionality of hydrogels. This review paper concludes with perspectives on potential future research directions.