bluuebunny/crossref_metadata_2025 huggingface dataset:
Insights into E-Cadherin Impairment in CDH1-Unaltered Invasive Lobular Carcinoma: A Comprehensive Bioinformatic Study
Authors: Uchida Shiro , Sugino Takashi
Published: August 2024

Invasive lobular carcinoma exhibits unique morphological features frequently associated with alterations in CDH1. Although some studies have identified abnormalities in adhesion factors other than E-cadherin, the molecular mechanisms underlying E-cadherin abnormalities in CDH1-unaltered invasive lobular carcinoma remain poorly understood. In this study, we investigated the molecular underpinnings of E-cadherin dysregulation in invasive lobular carcinoma in the absence of CDH1 gene alterations, using comprehensive bioinformatic analyses. We conducted a comparative study of CDH1-mutated and non-mutated invasive lobular carcinoma and evaluated the differences in mRNA levels, reverse-phase protein array, methylation, and miRNAs. We observed that invasive lobular carcinoma cases without CDH1 alterations exhibited a significantly higher incidence of the Claudin-low subtype (p < 0.01). The results of the reverse-phase protein array indicate no significant difference in E-cadherin expression between CDH1-mutated and non-mutated cases. Therefore, abnormalities in E-cadherin production also exist in CDH1 non-mutated invasive lobular carcinoma. Considering that there are no differences in mRNA levels and methylation status, post-translational modifications are the most plausible explanation for the same. Hence, future studies should focus on elucidating the mechanism underlying E-cadherin inactivation via post-translational modifications in CDH1 non-mutated invasive lobular carcinoma.
Early Recurrence Prediction of Hepatocellular Carcinoma Using Deep Learning Frameworks with Multi-Task Pre-Training
Authors: Song Jian , Dong Haohua , Chen Youwen , Zhang Xianru , Zhan Gan , Jain Rahul Kumar , Chen Yen-Wei
Published: August 2024

Post-operative early recurrence (ER) of hepatocellular carcinoma (HCC) is a major cause of mortality. Predicting ER before treatment can guide treatment and follow-up protocols. Deep learning frameworks, known for their superior performance, are widely used in medical imaging. However, they face challenges due to limited annotated data. We propose a multi-task pre-training method using self-supervised learning with medical images for predicting the ER of HCC. This method involves two pretext tasks: phase shuffle, focusing on intra-image feature representation, and case discrimination, focusing on inter-image feature representation. The effectiveness and generalization of the proposed method are validated through two different experiments. In addition to predicting early recurrence, we also apply the proposed method to the classification of focal liver lesions. Both experiments show that the multi-task pre-training model outperforms existing pre-training (transfer learning) methods with natural images, single-task self-supervised pre-training, and DINOv2.
Analyzing Tor Browser Artifacts for Enhanced Web Forensics, Anonymity, Cybersecurity, and Privacy in Windows-Based Systems
Authors: Javed Muhammad Shanawar , Sajjad Syed Muhammad , Mehmood Danish , Mansoor Khawaja , Iqbal Zafar , Kazim Muhammad , Muhammad Zia
Published: August 2024

The Tor browser is widely used for anonymity, providing layered encryption for enhanced privacy. Besides its positive uses, it is also popular among cybercriminals for illegal activities such as trafficking, smuggling, betting, and illicit trade. There is a need for Tor Browser forensics to identify its use in unlawful activities and explore its consequences. This research analyzes artifacts generated by Tor on Windows-based systems. The methodology integrates forensic techniques into incident responses per NIST SP (800-86), exploring areas such as registry, storage, network, and memory using tools like bulk-extractor, autopsy, and regshot. We propose an automated PowerShell script that detects Tor usage and retrieves artifacts with minimal user interaction. Finally, this research performs timeline analysis and artifact correlation for a contextual understanding of event sequences in memory and network domains, ultimately contributing to improved incident response and accountability.
Two Perovskite Modifications of BiFe0.6Mn0.4O3 Prepared by High-Pressure and Post-Synthesis Annealing at Ambient Pressure
Authors: Belik Alexei A.
Published: August 2024

BiFeO3-related perovskite-type materials attract a lot of attention from the viewpoint of applications and fundamental science. In this work, we prepared two modifications of heavily Mn-doped BiFeO3 with the composition of BiFe0.6Mn0.4O3. A high-pressure (HP) modification was prepared at about 6 GPa and 1400 K. An ambient pressure (AP) modification was prepared by heating the HP modification at 780 K in the air at AP (post-synthesis annealing). Crystal structures of both modifications and in situ transformation were investigated with synchrotron powder X-ray diffraction. The transformation started at about 700 K and finished at about 780 K. The HP modification crystallized in space group Pnma with a = 5.57956 Å, b = 15.70576 Å, and c = 11.22557 Å, and the AP modification crystallized in space group Pbam with a = 5.63839 Å, b = 11.2710 Å, and c = 7.75923 Å (all parameters were at room temperature). Post-synthesis annealing of the HP modification (conversion polymorphism) is the only way to prepare the Pbam modification of oxygen stoichiometric BiFe0.6Mn0.4O3. Magnetic properties of both modifications have been reported. The Néel temperatures are TN = 350 K (HP) and TN = 335 K (AP). HP modification shows larger spin canting. Both modifications show negative magnetization phenomena at low temperatures in low magnetic fields.
Population Dynamics of Bactrocera dorsalis (Diptera: Tephritidae) in Four Counties of Yunnan, China, by Electronic Monitoring System
Authors: Li Ziyuan , Li Yan , Liang Yuling , Qi Yixiang , Lu Yongyue , Ma Jiao
Published: August 2024

Bactrocera dorsalis (Hendel) (Diptera: Tephritidae) is a global economic pest that poses a serious threat to the fruit industry. In the southwest of China, Yunnan Province sustains a severe infestation of B. dorsalis. An automated monitoring system designed for B. dorsalis was employed in this study to elucidate the annual population dynamics of B. dorsalis in four counties: Yuanjiang, Huaping, Guangnan, and Ludian in Yunnan. The system utilizes sex parapheromone and image recognition technology. The data uploaded by the device are used to analyze the annual population dynamics of B. dorsalis in different regions. The results showed that the populations of adult B. dorsalis in all four counties peaked twice annually, with Yuanjiang experiencing the earliest peak periods, followed by Huaping, Guangnan, and Ludian. Adult B. dorsalis occurred in Yuanjiang throughout the year, and Yuanjiang had the highest number of B. dorsalis monitored. In Huaping, adult B. dorsalis occurred in March–December and was highly active, with a high population density in 2019. Bactrocera dorsalis did not occur in December in Guangnan but only in May–October in Ludian. Bactrocera dorsalis abundance was correlated with temperature in all four areas. The outcomes of this experiment provide a practical foundation for developing control strategies targeting B. dorsalis in various orchards across each county.
Exploring Bemisia tabaci Middle East–Asia Minor I and Mediterranean Cryptic Species Relationship with Cowpea Mild Mottle Virus and Their Dynamics in Soybean Fields
Authors: Barreto da Silva Felipe , Raposo Rodrigo de Sarandy , de Campos Sarah Forlani , Uzan Juliana , Marubayashi Julio Massaharu , Ribeiro-Junior Marcos Roberto , Nogueira Angélica Maria , Martines Caroline da Cruz , Bello Vinicius Henrique , Müller Cristiane , Sartori Maria Márcia Pereira , Krause-Sakate Renate
Published: August 2024

Cowpea mild mottle virus (CPMMV, genus Carlavirus, family Betaflexividae) is an economically important virus infecting soybeans in Brazil, where it was initially identified in 1983. CPMMV is transmitted by the whitefly, Bemisia tabaci, and occasionally by seeds. Over the last three decades, the most invasive B. tabaci Middle East–Asia Minor 1 (MEAM1), and lately the Mediterranean (MED) cryptic species, have replaced the indigenous species in Brazil, with MEAM1 being predominant. In this study, we investigated the transmission properties of CPMMV by MEAM1 and MED, and their distribution in major soybean-growing areas in São Paulo State. Our results from transmission assays with a single insect revealed that MED is a more efficient vector compared to MEAM1, transmitting the virus within a two-minute inoculation access period. B. tabaci MEAM1 is still the predominant whitefly species in São Paulo State, but MED was also identified in different places, mainly in mixed infestations with MEAM1. Some areas transitioned to a predominance of MED over the three years, while others, where MED had previously been detected, showed a reduction in the insects during the same period. Understanding the transmission dynamics of CPMMV and the distribution of its vectors is crucial for implementing effective management strategies to control the virus spread and protect soybean crops. Further research into the mechanisms driving the shifts in whitefly species dominance and CPMMV distribution will be essential for sustaining soybean production in Brazil.
Unveiling Wildfire Dynamics: A Bayesian County-Specific Analysis in California
Authors: Poudyal Shreejit , Lindquist Alex , Smullen Nate , York Victoria , Lotfi Ali , Greene James , Meysami Mohammad
Published: August 2024

Recently, the United States has experienced, on average, costs of USD 20 billion due to natural and climate disasters, such as hurricanes and wildfires. In this study, we focus on wildfires, which have occurred more frequently in the past few years. This paper examines how various factors, such as the PM10 levels, elevation, precipitation, SOX, population, and temperature, can influence the intensity of wildfires differently across counties in California. More specifically, we use Bayesian analysis to classify all counties of California into two groups: those with more wildfires and those with fewer wildfires. The Bayesian model incorporates prior knowledge and uncertainty for a more robust understanding of how these environmental factors impact wildfires differently among county groups. The findings show a similar effect of the SOX, population, and temperature, while the PM10, elevation, and precipitation have different implications for wildfires across various groups.
Monkeypox in Bulgaria: Significance of Various Clinical Samples, Clinical Manifestation, and Molecular Detection
Authors: Krumova Stefka , Stefanova Radostina , Genova-Kalou Petia , Ivanov Daniel , Pishmisheva Maria , Kotsev Stanislav , Christova Iva
Published: August 2024

Background/Objectives: Monkeypox (mpox) is currently the most common orthopoxvirus (OPXV) zoonotic disease, and, since 2022, there has been atypical person-to-person transmission observed in non-endemic countries. The present study aimed to investigate the frequency of monkeypox virus (MPXV) and OPXV DNA detection in recommended and alternative clinical materials taken during the acute and convalescent phases of infection in Bulgarian patients. Methods: The study included laboratory investigation by real time PCR of 181 clinical samples from 42 Bulgarian patients with possible mpox infections. Results: MPXV DNA was detected in 23/181 (12.71%), and OPXV DNA in 20/181 (11.05%) clinical samples. There were six mpox-confirmed patients aged 23 to 44. At the highest frequency, MPXV and OPXV DNA were detected in samples of vesicular contents (6/6) and nasal/oropharyngeal secretions (5/6 and 4/6) during the first three days from the appearance of clinical symptoms. We demonstrated MPXV and OPXV DNA in alternative samples (urine, feces, ejaculate, and saliva), and in follow-up patient samples, taken two weeks after mpox confirmation in the convalescent phase (vesicular contentsand urine). Conclusions: Our findings suggested that MPXV may be detected in a larger set of clinical materials, including alternatives, where the virus can persist for more than two weeks.
Drug-Related Glomerular Phenotypes: A Global Pharmacovigilance Perspective
Authors: Baptista Alexandre , Macedo Ana M. , Marreiros Ana , Coelho André , Perazella Mark A.
Published: August 2024

Introduction: Adverse drug reactions are a significant problem in modern society, stemming from the increase in prescribed medications, over-the-counter drugs, and overall polypharmacy. Glomerular disorders are one of the frequently reported renal conditions associated with medication use. VigiBase is a significant tool for evaluating events associated with drug use, and, to the authors’ knowledge, no study has yet assessed this database to identify the primary medications associated with glomerular disorders. Materials and Methods: We collected data from VigiBase for 54 years and evaluated data based on global frequencies, disproportionality (IC025 values), nephrotoxic potential, and physiopathological mechanisms. Results: Over the evaluation period, 33.932.051 spontaneous notifications of adverse drug reactions reported in VigiBase were assessed, from which 106.775 notifications of drug-associated glomerular disorders were extracted. The isolated medications were classified as ‘potential nephrotoxins’ (47.0%), with 40% of the medications lacking scientific references to report any association with the development of glomerular disorders. Among the evaluated medications, Inotersen (IC025 of 8.3), Penicillamine (IC025 6.8), Bevacizumab (IC025 5.9) and Lenvatinib (IC025 5.4) were identified as having the strongest association with these glomerular disorders. For medications classified as ‘non-nephrotoxic’, a high disproportionality index was observed, suggesting drugs that might be considered as new potential nephrotoxins. Conclusions: Drug-induced glomerular disorders were significantly associated with medications that had no established nephrotoxic role but demonstrated a high disproportionality index in VigiBase. These newly alleged nephrotoxic drugs warrant further evaluation in dedicated studies to assess their true nephrotoxic potential.
The Power of a Belief System: A Systematic Qualitative Synthesis of Spiritual Care for Patients with Brain Tumors
Authors: Mehta Neel H. , Prajapati Megh , Aeleti Rishi , Kinariwala Kush , Ohri Karina , McCabe Sean , Buller Zachary , Leskinen Sandra , Nawabi Noah L. , Bhatt Vatsal , Yerigeri Keval , Babaria Vivek
Published: August 2024

Background: Diagnosis with a brain tumor is a critical event in the lives of patients and their families due to poor medical prognoses and complex clinical care. Spiritual care interventions have been known to have meaningful effects in morbid diagnoses and palliative medicine, but their role in the neuro-oncologic patient’s experience is poorly understood. This systematic review explores the role of spirituality and its relevance to patient care in the diverse setting of brain tumors. Methods: A comprehensive systematic review was conducted following PRISMA-SR guidelines. PUBMED was queried for studies on spirituality and neuro-oncology. Identified studies included RCTs, interviews, surveys, and case reports that examined spirituality in neuro-oncological clinical care, quality of life, and patient experience. Of 214 articles identified, 21 studies met the inclusion criteria, and the results were narratively synthesized. Results: Spirituality may play a significant role in mental well-being by reconciling existential questions faced by both patients and caregivers, and can serve as a valuable resource to improve mental well-being and reduce rates of palliative caregiver burnout. However, the paucity of studies examining the education and integration of spiritual awareness within the clinical literature warrants further study. Conclusions: While spiritual care interventions may improve the quality of life and mental wellness of patients and their caregivers, it is unclear how spiritual awareness and education should best be implemented. Further research is needed to better understand how key components of spiritual awareness can be integrated into medical education to deepen the patient–physician relationship and improve clinical experiences.
New Endoscopic Devices and Techniques for the Management of Post-Sleeve Gastrectomy Fistula and Gastric Band Migration
Authors: Jung Carlo Felix Maria , Binda Cecilia , Tuccillo Luigi , Secco Matteo , Gibiino Giulia , Liverani Elisa , Petraroli Chiara , Coluccio Chiara , Fabbri Carlo
Published: August 2024

Post-sleeve gastrectomy fistulas are a rare but possibly severe life-threatening complication. Besides early reoperation and drainage, endoscopy is the main treatment option. According to the clinical setting, endoscopic treatment options comprise stent or clip placement. New endoscopic therapies have recently gained attention, including endoscopic vacuum therapy, VacStent therapy, endoscopic internal drainage with pigtail stents, endoscopic suturing and stem cell injection. In this narrative review, we shed light on recent literature, developments, indications and contraindications of these treatments. Intragastric gastric band migration is a rare complication after gastric band positioning. Reoperation can sometimes be difficult, especially when a gastric band has already migrated far into the stomach. Endoscopic retrieval can be a valid, non-invasive therapeutic solution. We reviewed the current literature on this matter.
Machine Learning Algorithms for Prediction and Characterization of Cohesive Zone Parameters for Mixed-Mode Fracture
Authors: Ramian Arash , Elhajjar Rani
Published: August 2024

Fatigue and fracture prediction in composite materials using cohesive zone models depends on accurately characterizing the core and facesheet interface in advanced composite sandwich structures. This study investigates the use of machine learning algorithms to identify cohesive zone parameters used in the fracture analysis of advanced composite sandwich structures. Experimental results often yield non-unique solutions, complicating the determination of cohesive parameters. Numerical determination can be time-consuming due to fine mesh requirements near the crack tip. This research evaluates the performance of Support Vector Regression (SVR), Random Forest (RF), and Artificial Neural Network (ANN) machine learning methods. The study uses features extracted from load–displacement responses during the fracture of the Asymmetric Double-Cantilever Beam (ADCB) specimen. The inputs include the displacement at the maximum load (δ*), the maximum load (Pmax), the total area under the load–displacement curve (At), and the initial slope of the linear region of the load–displacement curve (m). There are two objectives in this research: the first is to investigate which method performs best in identifying the interfacial cohesive parameters between the honeycomb core and carbon-epoxy facesheets, while the second objective is to reduce the dimensionality of the dataset by reducing the number of input features. Reducing the number of inputs can simplify the models and potentially improve the performance and interpretability. The results show that the ANN method produced the best results, with a mean absolute percentage error (MAPE) of 0.9578% and an R-squared (R²) value of 0.7932. These values indicate a high level of accuracy in predicting the four cohesive zone parameters: maximum normal contact stress (σI), critical fracture energy for normal separation (GI), maximum equivalent tangential contact stress (σII), and critical fracture energy for tangential slip (GII).
Formability Assessment of Additively Manufactured Materials via Dieless Nakajima Testing
Authors: Sampaio Rui F. V. , Rosado Pedro M. S. , Pragana João P. M. , Bragança Ivo M. F. , Silva Carlos M. A. , Rosa Luís G. , Martins Paulo A. F.
Published: August 2024

This paper delves into the formability of material deposited by wire arc additive manufacturing. It presents a novel dieless Nakajima testing procedure that offers a practical solution for obtaining strain loading paths up to failure directly from the deposited material without the need for extracting sheet blanks. The procedure involved machining a region of the deposited material to the desired shape and thickness and using a press to drive and control the movement of a hemispherical punch. The test was designed using finite element modeling, and its effectiveness in obtaining the required strain loading paths directly from the deposited material was verified through experimentation with digital image correlation. Importantly, this novel test eliminates the need for the special-purpose tool setup required in conventional Nakajima sheet formability tests, thereby simplifying the overall testing process.
Innovative Structural Optimization and Dynamic Performance Enhancement of High-Precision Five-Axis Machine Tools
Authors: Behera Ratnakar , Chan Tzu-Chi , Yang Jyun-Sian
Published: August 2024

To satisfy the requirements of five-axis processing quality, this article improves and optimizes the machine tool structure design to produce improved dynamic characteristics. This study focuses on the investigation of five-axis machine tools’ static and dynamic stiffness as well as structural integrity. We also include performance optimization and experimental verification. We use the finite element approach as a structural analysis tool to evaluate and compare the individual parts of the machine created in this study, primarily the saddle, slide table, column, spindle head, and worktable. We discuss the precision of the machine tool model and relative space distortion at each location. To meet the requirements of the actual machine, we optimize the structure of the five-axis machine tool based on the parameters and boundary conditions of each component. The machine’s weight was 15% less than in the original design model, the material it was subjected to was not strained, and the area of the structure where the force was considerably deformed was strengthened. We evaluate the AM machine’s impact resistance to compare the vibrational deformation observed in real time with the analytical findings. During modal analysis, all the order of frequencies were determined to be 97.5, 110.4, 115.6, and 129.6 Hz. The modal test yielded the following orders of frequencies: 104, 118, 125, and 133 Hz. Based on the analytical results, the top three order error percentages are +6.6%, +6.8%, +8.1%, and +2.6%. In ME’scope, the findings of the modal test were compared with the modal assurance criteria (MAC) analysis. According to the static stiffness analysis’s findings, the main shaft and screw have quite substantial major deformations, with a maximum deformation of 33.2 µm. Force flow explore provides the relative deformation amount of 26.98 µm from the rotating base (C) to the tool base, when a force of 1000 N is applied in the X-axis direction, which is more than other relative deformation amounts. We also performed cutting transient analysis, cutting spectrum analysis, steady-state thermal analysis, and analysis of different locations of the machine tool. All of these improvements may effectively increase the stiffness of the machine structure as well improve the machine’s dynamic characteristics and increases its machining accuracy. The topology optimization method checks how the saddle affects the machine’s stability and accuracy. This research will boost smart manufacturing in the machine tool sector, leading to notable advantages and technical innovations.
USV Collision Avoidance Decision-Making Based on the Improved PPO Algorithm in Restricted Waters
Authors: Hao Shuhui , Guan Wei , Cui Zhewen , Lu Junwen
Published: August 2024

The study presents an optimized Unmanned Surface Vehicle (USV) collision avoidance decision-making strategy in restricted waters based on the improved Proximal Policy Optimization (PPO) algorithm. This approach effectively integrates the ship domain, the action area of restricted waters, and the International Regulations for Preventing Collisions at Sea (COLREGs), while constructing an autonomous decision-making system. A novel set of reward functions are devised to incentivize USVs to strictly adhere to COLREGs during autonomous decision-making. Also, to enhance convergence performance, this study incorporates the Gated Recurrent Unit (GRU), which is demonstrated to significantly improve algorithmic efficacy compared to both the Long Short-Term Memory (LSTM) network and traditional fully connected network structures. Finally, extensive testing in various constrained environments, such as narrow channels and complex waters with multiple ships, validates the effectiveness and reliability of the proposed strategy.
Morphological and Phylogenetic Analyses Reveal Three Novel Species of Sanguinoderma (Ganodermataceae, Basidiomycota) from Yunnan Province, China
Authors: Niu Kai-Yang , He Jun , Tang Song-Ming , Su Xi-Jun , Luo Zong-Long
Published: August 2024

Sanguinoderma (Ganodermataceae) is recognized as a valuable medicinal resource in Taiwan, China. Additionally, it serves as a traditional folk medicine for treating neurotic epilepsy in Malaysia. This study involved the collection of six specimens of Sanguinoderma from Yunnan Province, China. Employing multigene phylogenetic analysis of DNA sequences, including internal transcribed spacer (ITS), nuclear large subunit (LSU), RNA polymerase II second largest subunit (rpb2), translation elongation factor 1-alpha (tef1-α), mitochondrial small subunit (mtSSU), nuclear small subunit (nSSU) and morphological examinations, three new species, viz. Sanguinoderma concentricum, S. dehongense and S. ovisporum, are introduced. Sanguinoderma concentricum is characterized by a central stipe basidiomata, an orbicular to suborbicular pileus, a grayish-yellow surface with alternating concentric zones and wavy margin-like petals and regular pileipellis cells (4–8 × 17–28 μm). Sanguinoderma dehongense is characterized by a long stipe and flabelliform basidiomata, a dark-grayish yellow-to-dark-yellow pileus surface, irregular pileipellis cells and wavy margin and ellipsoid basidia (8–11 × 9–13 μm). Sanguinoderma ovisporum is characterized by a reniform basidiomata, a heterogeneous context and ovoid basidiospores (7.5–8.6 × 5.5–7.2 µm). A detailed description and illustrations of these new species are provided, as well as a morphological comparison with similar taxa.
“Knowledge Strategies” for Indigenous Studies on Intercultural Communication in Non-Western Countries in the Global Power Structure
Authors: Sun Yingchun , Shi Yi
Published: August 2024

According to Michel Foucault’s power/knowledge theory, knowledge is not produced in a vacuum; the construction of any knowledge system implicitly contains power relations. The “knowledge strategies” for Indigenous studies on intercultural communication should evolve and improve in response to shifts in the global power structure. With the development of globalization and the evolution of communication technologies, this study interprets the current global power structure as a “dual structure” in which the international society and the world society coexist and develop together. This structure leads to a complex trend of simultaneous “centralization” and “decentralization”, as well as “homogenization” and “hybridization” in the global cultural order. For scholars from non-Western countries, Indigenous studies on intercultural communication need to interpret the new global power structure, expanding their research perspectives and topics to a global dimension. This approach links Indigenous conceptual resources and methodologies with an open and diverse global cultural order. This study proposes “knowledge strategies” for Indigenous studies on intercultural communication in non-Western countries and introduces a third level of significance for intercultural communication beyond daily interaction and cultural interaction: community building. Regarding the research purpose, this study aims to provide a new perspective for the study of intercultural communication theory, promoting an equal dialogue between Western and non-Western knowledge systems of intercultural communication, and enhancing the inclusiveness and humanistic awareness of this discipline.
Subcutaneous versus Transvenous Implantable Cardioverter Defibrillator in Patients with End-Stage Renal Disease Requiring Dialysis: Extended Long-Term Retrospective Multicenter Follow-Up
Authors: Schiedat Fabian , Meuterodt Benjamin , Winter Joachim , Prull Magnus , Aweimer Assem , Gotzmann Michael , O’Connor Stephen , Perings Christian , Lawo Thomas , El-Battrawy Ibrahim , Hanefeld Christoph , Korth Johannes , Mügge Andreas , Kloppe Axel
Published: August 2024

Background: Implantable cardioverter defibrillators (ICD) prevent sudden cardiac death (SCD). Patients with end-stage renal disease (ESRD) requiring dialysis are at a very high risk of infection from cardiac implantable electronic device (CIED) implantation as well as mortality. In the present study, we compared the long-term complications and outcomes between subcutaneous ICD (S-ICD) and transvenous ICD (TV-ICD) recipients. Methods: In this retrospective analysis, we analyzed a total of 43 patients with ESRD requiring dialysis who received either a prophylactic S-ICD (26 patients) or a single right ventricular lead TV-ICD (17 patients) at seven experienced centers in Germany. Follow-up was performed bi-annually, at the end of which the data concerning comorbidities and, if applicable, reason for death were checked and confirmed with patients’ general practitioner, nephrologist and cardiologist. Results: The median follow up duration was 95.6 months (range 42.8–126.3 months). Baseline characteristics were without noteworthy significant differences between groups. During follow-up (FU), there were significantly more device-associated infections (HR 8.72, 95% confidence interval (CI), 1.18 to 12.85, p < 0.05) and device-associated hospitalizations (HR 10.20, 95% CI 1.22 to 84.61, p < 0.001), as well as a higher cardiovascular mortality (HR 9.17, 95% CI 1.12 to 8.33, p < 0.05), in the TV-ICD group. The number of patients requiring hospitalization for any reason was significantly higher in the TV-ICD group (HR 2.59, 95% CI 1.12 to 6.41, p < 0.05). There was no significant difference in overall mortality (HR 1.92, 95% CI 0.96 to 6.15, p = 0.274). Conclusions: Our data suggest that, in this extended follow-up in seriously compromised renal patients on dialysis, the S-ICD patients have statistically fewer device infections and hospitalizations as well as lower cardiac mortality compared with the TV-ICD cohort.
Investigation of Electrocardiographic Changes in Individuals with Three or More Cardiovascular Risk Factors on Santiago Island—The Cross-Sectional PrevCardio.CV Study
Authors: Coelho Patrícia , Mascarenhas Kelly , Rodrigues Júlio , Rodrigues Francisco
Published: August 2024

Cerebrocardiovascular diseases represent one of the greatest public health concerns globally. In Cabo Verde, non-communicable diseases, such as cerebrocardiovascular diseases, have become leading causes of morbidity and mortality. This study aimed to correlate risk factors with cardiac electrical changes in adult individuals residing on Santiago Island—Cabo Verde. A cross-sectional population-based study using simple random sampling was conducted in 2021 with individuals aged 18 and over, of both sexes, having authorization 35/2021 from the Cabo Verde Ethics Commission. The sample size was calculated based on Santiago Island’s projected population for 2021, considering an estimated prevalence of 50%, a 95% confidence interval, and a standard error of 4%, resulting in a sample of 599 individuals. The data were collected through a questionnaire on risk factors and cerebrocardiovascular diseases, blood pressure measurement, capillary blood glucose evaluation, and a 12-lead electrocardiogram. The study sample was predominantly female (54.8%), with the largest age group being 18–27 years (21%). Among the sample, 9.3% had no risk factors, 27.5% had one risk factor, 36.2% had two risk factors, and 26.9% had three or more risk factors. Of those who underwent electrocardiography, 60.24% showed electrocardiographic changes, with the most prevalent being ventricular repolarization changes, nonspecific repolarization changes, and early repolarization. A relationship was observed between cerebrocardiovascular disease risk factors and the electrocardiographic changes found in the study participants.
Chatbots in Cancer Applications, Advantages and Disadvantages: All that Glitters Is Not Gold
Authors: Goumas Georgios , Dardavesis Theodoros I. , Syrigos Konstantinos , Syrigos Nikolaos , Simou Effie
Published: August 2024

The emergence of digitalization and artificial intelligence has had a profound impact on society, especially in the field of medicine. Digital health is now a reality, with an increasing number of people using chatbots for prognostic or diagnostic purposes, therapeutic planning, and monitoring, as well as for nutritional and mental health support. Initially designed for various purposes, chatbots have demonstrated significant advantages in the medical field, as indicated by multiple sources. However, there are conflicting views in the current literature, with some sources highlighting their drawbacks and limitations, particularly in their use in oncology. This state-of-the-art review article seeks to present both the benefits and the drawbacks of chatbots in the context of medicine and cancer, while also addressing the challenges in their implementation, offering expert insights on the subject.
The Association of Depression with Obstructive Sleep Apnea in Patients with Cystic and Non-Cystic Fibrosis Bronchiectasis
Authors: Balcan Baran , Vezir Duygu , Olgun Yildizeli Sehnaz , Kocakaya Derya , Ceyhan Berrin
Published: August 2024

Obstructive sleep apnea (OSA) and cystic fibrosis (CF) are chronic conditions that profoundly impact quality of life. OSA, characterized by repeated episodes of upper airway collapse, can exacerbate CF symptoms due to nocturnal airway obstruction. Recent studies highlight the prevalence of OSA in CF patients, especially in adults, and its detrimental effects on health and quality of life. From April 2019 to December 2021, we conducted a study with 104 bronchiectasis patients at Marmara University Pendik Training and Research Hospital. After exclusions, 70 participants (35 CF and 35 non-CF) were included. Sleep parameters were assessed with polysomnography, and depressive mood was evaluated using the Zung Self-Rating Depression Scale (SDS). Daytime sleepiness was measured using the Epworth Sleepiness Scale (ESS). The statistical analyses included t-tests, chi-square tests, and logistic regression. Among the CF patients, depressive mood was significantly associated with female sex (OR: 4.28, 95% CI: 1.27–12.04) and anemia (OR: 7.87, 95% CI: 1.50–41.27). Higher ESS scores indicated greater daytime sleepiness in the depressive groups (p = 0.051). Depressive CF patients also had a significantly longer disease duration and more frequent annual exacerbations. No significant differences were found in total sleep time, sleep efficiency, or sleep stages between the depressive and non-depressive groups. A lower forced vital capacity (FVC) was observed in the depressive CF patients, although not significantly. Depression is prevalent among adult CF patients with OSA, with significant associations with female sex and anemia. These findings underscore the need for integrated care addressing both physical and mental health aspects, including interventions for respiratory symptoms, anemia management, and sleep quality enhancement to improve overall quality of life.
Extreme Body Condition Index Values in Small Mammals
Authors: Balčiauskas Linas , Balčiauskienė Laima
Published: August 2024

The body condition index (BCI) values in small mammals are important in understanding their survival and reproduction. The upper values could be related to the Chitty effect (presence of very heavy individuals), while the minimum ones are little known. In this study, we analyzed extremes of BCI in 12 small mammal species, snap-trapped in Lithuania between 1980 and 2023, with respect to species, animal age, sex, and participation in reproduction. The proportion of small mammals with extreme body condition indices was negligible (1.33% with a BCI < 2 and 0.52% with a BCI > 5) when considering the total number of individuals processed (n = 27,073). When compared to the expected proportions, insectivores and herbivores were overrepresented, while granivores and omnivores were underrepresented among underfit animals. The proportions of granivores and insectivores were higher, while those of omnivores and herbivores were lower than expected in overfit animals. In several species, the proportions of age groups in underfit and overfit individuals differed from that expected. The male–female ratio was not expressed, with the exception of Sorex araneus. The highest proportion of overfit and absence of underfit individuals was found in Micromys minutus. The observation that individuals with the highest body mass are not among those with the highest BCI contributes to the interpretation of the Chitty effect. For the first time in mid-latitudes, we report individuals of very high body mass in three shrew species.
Reliability-Based Robust Design Optimization with Fourth-Moment Method for Ball Bearing Wear
Authors: Wang Yanzhong , E Shiyuan , Yang Kai , Xie Bin , Lu Fengxia
Published: August 2024

Ball bearings operating at low speeds and under heavy loads are susceptible to wear failure, leading to significant economic losses. The existing reliability-based robust design optimization method of the fourth-moment method has high accuracy and does not need to determine the random distribution of the input variables, but it is not possible to apply it to ball bearing wear due to the complexity of the bearing wear state function that cannot be characterized as an explicit form. To address this issue, this paper proposes a novel design method for ball bearing wear. Firstly, a surrogate model is constructed using the Kriging model method to establish a relationship between the bearing design parameters and the mechanical response. Subsequently, a wear reliability model is developed on the basis of the fourth-moment method, and reliability sensitivity analysis is conducted. Finally, the ball bearing wear reliability-based robust design optimization is accomplished through the use of a genetic algorithm. The results of the case calculations demonstrate that the proposed method effectively calculates the ball bearing wear reliability and analyzes the impact of design parameter randomness on reliability. Furthermore, optimizing the design parameters reduces the sensitivity of wear reliability to parameter randomness.
8-Iodo-4-methyl-2-oxo-2H-chromen-7-yl Benzenesulfonate
Authors: Pulido-Moreno Luis , Parra-Tibocha Andrés , Ladino-Bejarano Alexander , Macías Mario A. , Becerra Diana , Castillo Juan-Carlos
Published: August 2024

We report a straightforward and efficient synthesis of 4-methyl-2-oxo-2H-chromen-7-yl benzenesulfonate (3a) and 8-iodo-4-methyl-2-oxo-2H-chromen-7-yl benzenesulfonate (3b) in good yields through an O-sulfonylation reaction of 7-hydroxy-2H-chromen-2-ones 1a and 1b with benzenesulfonyl chloride 2 mediated by triethylamine in dichloromethane at ambient temperature. The aryl sulfonyl esters were characterized using spectroscopic, spectrometric, and thermal analyses.
The Overload Effect on the Crack Tip Damage Mechanism in a 7075 Aluminum Alloy
Authors: Xie Changji , Zheng Zhanguang , Li Li , Sun Teng
Published: August 2024

In the serviced components of a 7075 aluminum alloy, the propagation of fatigue crack can be retarded because of the overload effect; however, the corresponding retardation mechanisms are complex. To provide further insights into the retardation mechanisms of 7075 aluminum alloys, this study addresses the crack tip damage response of a cracked 7075 aluminum alloy under an overload effect. Based on the dual-scale modeling approach and the damage-coupled crystal plasticity model, the effect of the microstructure of a 7075 aluminum alloy on the damage behavior ahead of the crack tip under an overload was studied. The factors affecting fatigue damage accumulation ahead of the crack tip, such as dislocation density, the variation in the activities of slip systems, and the orientation effect of the nearest neighbor grains, are described. The results show that for the 7075 aluminum alloy, the compressive residual stress induced by the overload effect not only decreases the number of activated slip systems, but also lowers the rate of increase in dislocation density. This causes a decrease in fatigue damage accumulation during deformation. Moreover, the overload effect decreases the slip system activity as well as the resultant plastic slip; however, the decrease in plastic slip varies with the grain orientation, indicating that the overload effect depends on the grain orientation. It can also be found that both the damage strain energy release rate and lattice strain are influenced by the orientation of the nearest neighbor grains, which can eventually affect the overload effect. These findings contribute to understanding the retardation mechanisms from a microscopic perspective and provide guidance on improving the material design of a 7075 aluminum alloy to some extent.
Effects of Mix Components on Fracture Properties of Seawater Volcanic Scoria Aggregate Concrete
Authors: Huang Yijie , Zheng Lina , Li Peng , Wang Qing , Zhang Yukun
Published: August 2024

The fracture mechanism and macro-properties of SVSAC were studied using a novel test system combined with numerical simulations, which included three-point bending beam tests, the digital image correlation (DIC) technique, scanning electron microscopy (SEM), and ABAQUS analyses. In total, 9 groups and 36 specimens were fabricated by considering two critical parameters: initial notch-to-depth ratios (a0/h) and concrete mix components (seawater and volcanic scoria coarse aggregate (VSCA)). Changes in fracture parameters, such as the load-crack mouth opening displacement curve (P-CMOD), load-crack tip opening displacement curve (P-CTOD), and fracture energy (Gf), were obtained. The typical double-K fracture parameters (i.e., initial fracture toughness (KICini) and unstable fracture toughness (KICun)) and tension-softening (σ-CTOD) curve were analyzed. The test results showed that the initial cracking load (Pini), Gf, and characteristic length (Lch) of the SVSAC increased with decreasing a0/h. Compared with the ordinary concrete (OC) specimen, the P-CMOD and P-CTOD curves of the specimen changed after using seawater and VSCA. The evolution of the crack propagation length was obtained through the DIC technique, indicating cracks appeared earlier and the fracture properties of specimen decreased after using VSCA. Generally, the KICun and KICini of SVSAC were 36.17% and 8.55% lower than those of the OC specimen, respectively, whereas the effects of a0/h were negligible. The reductions in Pini, Gf, and Lch of the specimen using VSCA were 10.94%, 32.66%, and 60.39%, respectively; however, seawater efficiently decreased the negative effect of VSCA on the fracture before the cracking width approached 0.1 mm. Furthermore, the effects of specimen characteristics on the fracture mechanism were also studied through numerical simulations, indicating the size of the beam changed the fracture toughness. Finally, theoretical models of the double-K fracture toughness and the σ-CTOD relations were proposed, which could prompt their application in marine structures.
Piecewise Linear Strength Models for Analyzing Multiple Failure Mechanisms in Rocks Materials
Authors: Li Shiqi , Li Yuan , Fan Dongjue , Zhao Liang , Zhang Litian
Published: August 2024

Rock materials failures are accompanied by the co-existence of various failure mechanisms, including rock fracturing, shearing, and compaction yield. These mechanisms manifest macroscopically as multiple failure modes and nonlinear strength characteristics related to stress levels. Considering the limitations of current rock mechanics strength theories, which are primarily derived from single failure mechanisms, this study evaluates the applicability of alternative strength theories. Based on the extensional-strain criterion and the PMC (Paul-Mohr-Coulomb) model, a piecewise linear strength model was proposed that is suitable for analyzing multiple failure mechanisms in rocks, revealing the intrinsic mechanisms of multi-mechanism rock material failure. A multiple failure mechanism strength model in the form of inequalities was proposed, using the generalized shear stress, mean stress, and stress Lode angle as parameters. Strength tests conducted on sandstone and granite rock material samples under different stress conditions revealed distinct piecewise linear strength characteristics for both rock types, validating the rationality and applicability of the multiple failure mechanism model. The findings construct a multi-mechanism failure model for rocks, providing enhanced predictive capabilities and aiding in the prevention of rock structural failures.
A Facile Synthesis of TiO2–α-Ga2O3-Based Self-Powered Broad-Band UVC/UVA Photodetector and Optical Communication Study
Authors: Zhang Wenxing , Xu Anqi , Zhou Xin , Zhang Dan , Li Honglin
Published: August 2024

Traditional optical communication systems rely on single narrow-band PDs, which can expose confidential information and data to potential eavesdropping in free space. With advancements in technology, even optical communication in the UV spectrum, invisible to the sun, faces risks of interception. Consequently, broad-band PDs that combine optical encryption with algorithmic encryption hold significant promise for secure and reliable communication. This study presents a photodetector based on TiO2–α-Ga2O3 heterostructures, prepared via direct oxidation and hydrothermal reaction, demonstrating self-powered UVC/UVA broad-band detection capabilities. The PD exhibits response peaks at approximately 250 and 320 nm, with R of 42.16 and 59.88 mA/W and D* of 8.21 × 1013 and 9.56 × 1013 Jones, respectively. Leveraging the superior optical response characteristics of UVC and UVA wavelengths, this device has been employed to develop a communication system designed for data transmission. The proposed system features two independent channels: one for data transmission using UVC and another for key distribution using UVA. Secure communication is ensured through specialized encryption algorithms. In summary, this work offers a straightforward, cost-effective, and practical method for fabricating self-powered UVC/UVA broad-band PDs. This PD provides new insights into the development of multi-purpose, multi-band secure optical communication devices and holds promise for integration into multifunctional optoelectronic systems in the future.