bluuebunny/crossref_metadata_2025 huggingface dataset:
Glass Fillers in Three Different Forms Used as Reinforcement Agents of Polylactic Acid in Material Extrusion Additive Manufacturing
Authors: Vidakis Nectarios , Petousis Markos , Mountakis Nikolaos , Papadakis Vassilis , Charou Chrysa , Rousos Vasilis , Bastas Pavlos
Published: May 2023

The industrial demand for functional filaments made of bio-sourced, biocompatible, biodegradable, and/or recyclable polymers and composites for material extrusion (MEX) 3D printing is continuously growing. Polylactic acid (PLA), the most popular filament, combines such properties, yet its reinforcement with low-cost, inert, and/or recycled fillers remains challenging. Herein, glass in three different micro/nano-forms was the reinforcement agent in PLA. Three different experimental tiers were elaborated by producing composite filaments with glass in powder, beads, and flake forms in various loadings to optimize the concentrations. A thermomechanical process, i.e., melt filament extrusion, was exploited. The composites were evaluated for their thermal degradation stability and composition using thermogravimetric analysis and Raman. MEX 3D printing was used to produce tensile, flexural, impact, and microhardness specimens, to quantitatively evaluate their mechanical response. Field emission scanning electron microscopy evaluation and fractography were carried out to depict fracture patterns of the specimens after their tests. All three glass types induced impressive reinforcement effects (up to 60% in flexural loading), especially in the flake form. The impact of the additional process cost through glass fillers implementation was also assessed, indicating that such composites are cost-effective.
Investigating Inter-Day Variations in the Physical Effects of Exoskeletons: Requirements for Long-Term Biomechanical Studies
Authors: Riemer Julia , Jaitner Thomas , Wischniewski Sascha
Published: May 2023

Exoskeletons potentially reduce physical strain on workers. However, studies investigating the long-term effects of exoskeletons in the workplace are rare, not least because demonstrating physical long-term impacts faces several challenges, including the collection of reliable biomechanical data with the exoskeleton. By examining the potential impact of using an exoskeleton on inter-day measurements, we can provide valuable insights into the suitability of long-term studies. Therefore, this study aims to investigate the inter-day variation in muscle activity (MA) and kinematics of the trunk and legs during lifting, carrying, walking, and static bending with and without a passive back exoskeleton. The majority of results show no significant differences in inter-day variation. However, we found minor significant unilateral variation in knee and ankle kinematics when using the BSE during the lifting, carrying, and walking tasks, as well as in MA of M. biceps femoris when measuring without the BSE during the lifting tasks. Cohen’s d showed small effect sizes, ranging from −0.0045 ≤ d ≤ 0.384 for all significant p-values. While we classify the observed significant differences as minor, it is still crucial to consider day-to-day variations in long-term studies. However, by implementing high levels of standardization in study designs, including precise exoskeleton fitting, consistent assistance level, familiarization with measurement systems, and standardized working tasks, the impact of the exoskeleton on inter-day measurements can be minimized. Additional field studies are necessary to validate our findings in real work conditions.
Review of Scanning and Pixel Array-Based LiDAR Point-Cloud Measurement Techniques to Capture 3D Shape or Motion
Authors: Altuntas Cihan
Published: May 2023

Developments in light detection and ranging (LiDAR) technology have brought innovations in three-dimensional (3D) measurement. After mechanical laser scanners were introduced in the 1990s, the speed and point density of LiDAR measurements have increased considerably with the developments in photon imagers. On the other hand, lightweight and small-size LiDAR sensors and their integrated use with other related sensors have made the use of LiDAR widespread for mapping and navigation purposes on mobile platforms. Matrix imaging LiDAR cameras and solid-state laser scanners have no or fewer moving parts for measurement, and are unaffected by vibrations. They are usually used in mobile mapping, driverless vehicle navigation, and mobile robot navigation. Pulse or phase-shift methods are used to measure the distance from the LiDAR instrument to the scan point. The measured scan point direction is determined by the orientation angles of the beam in scanners, focal length, and pixel positions in matrix viewers, and instrument-centered 3D coordinates are calculated. LiDAR tools have their own specific capabilities and limitations. Therefore, the selection of the appropriate LiDAR for any application is very important. In this study, after LiDAR principles are introduced, scanning LiDAR and pixel-based matrix imager LiDAR methods used to measure 3D point clouds are technically examined and analyzed.
Gastric Cancer Vascularization and the Contribution of Reactive Oxygen Species
Authors: Biagioni Alessio , Peri Sara , Versienti Giampaolo , Fiorillo Claudia , Becatti Matteo , Magnelli Lucia , Papucci Laura
Published: May 2023

Blood vessels are the most important way for cancer cells to survive and diffuse in the body, metastasizing distant organs. During the process of tumor expansion, the neoplastic mass progressively induces modifications in the microenvironment due to its uncontrolled growth, generating a hypoxic and low pH milieu with high fluid pressure and low nutrients concentration. In such a particular condition, reactive oxygen species play a fundamental role, enhancing tumor proliferation and migration, inducing a glycolytic phenotype and promoting angiogenesis. Indeed, to reach new sources of oxygen and metabolites, highly aggressive cancer cells might produce a new abnormal network of vessels independently from endothelial cells, a process called vasculogenic mimicry. Even though many molecular markers and mechanisms, especially in gastric cancer, are still unclear, the formation of such intricate, leaky and abnormal vessel networks is closely associated with patients’ poor prognosis, and therefore finding new pharmaceutical solutions to be applied along with canonical chemotherapies in order to control and normalize the formation of such networks is urgent.
Temporal Dynamic Alterations of Regional Homogeneity in Parkinson’s Disease: A Resting-State fMRI Study
Authors: Li Kai , Tian Yuan , Chen Haibo , Ma Xinxin , Li Shuhua , Li Chunmei , Wu Shaohui , Liu Fengzhi , Du Yu , Su Wen
Published: May 2023

Brain activity is time varying and dynamic, even in the resting state. However, little attention has been paid to the dynamic alterations in regional brain activity in Parkinson’s disease (PD). We aimed to test for differences in dynamic regional homogeneity (dReHo) between PD patients and healthy controls (HCs) and to further investigate the pathophysiological meaning of this altered dReHo in PD. We included 57 PD patients and 31 HCs with rs-fMRI scans and neuropsychological examinations. Then, ReHo and dReHo were calculated for all subjects. We compared ReHo and dReHo between PD patients and HCs and then analyzed the associations between altered dReHo variability and clinical/neuropsychological measurements. Support vector machines (SVMs) were also used to assist in differentiating PD patients from HCs using the classification values of dReHo. The results showed that PD patients had increased ReHo in the bilateral medial temporal lobe and decreased ReHo in the right posterior cerebellar lobe, right precentral gyrus, and supplementary motor area, compared with controls. The coefficient of variation (CV) of dReHo was considerably higher in the precuneus in PD patients compared with HCs, and the CV of dReHo in the precuneus was found to be highly associated with HAMD, HAMA, and NMSQ scores. Multiple linear regression analysis controlling for demographic, clinical, and neuropsychiatric variables confirmed the association between altered dReHo and HAMD. Using the leave-one-out cross validation procedure, 98% (p < 0.001) of individuals were properly identified using the SVM classifier. These results provide new evidence for the aberrant resting-state brain activity in the precuneus of PD patients and its role in neuropsychiatric symptoms in PD.
The Biological Roles of Puccinia striiformis f. sp. tritici Effectors during Infection of Wheat
Authors: Wang Junjuan , Chen Tongtong , Tang Yawen , Zhang Sihan , Xu Mengyao , Liu Meiyan , Zhang Jian , Loake Gary J. , Jiang Jihong
Published: May 2023

Puccinia striiformis f. sp. tritici (Pst) is the causative agent of wheat stripe rust, which can lead to a significant loss in annual wheat yields. Therefore, there is an urgent need for a deeper comprehension of the basic mechanisms underlying Pst infection. Effectors are known as the agents that plant pathogens deliver into host tissues to promote infection, typically by interfering with plant physiology and biochemistry. Insights into effector activity can significantly aid the development of future strategies to generate disease-resistant crops. However, the functional analysis of Pst effectors is still in its infancy, which hinders our understanding of the molecular mechanisms of the interaction between Pst and wheat. In this review, we summarize the potential roles of validated and proposed Pst effectors during wheat infection, including proteinaceous effectors, non-coding RNAs (sRNA effectors), and secondary metabolites (SMs effectors). Further, we suggest specific countermeasures against Pst pathogenesis and future research directions, which may promote our understanding of Pst effector functions during wheat immunity attempts.
Associations between Personality Traits and Areas of Job Satisfaction: Pay, Work Itself, Security, and Hours Worked
Authors: Kang Weixi , Malvaso Antonio
Published: May 2023

Although studies have widely explored the connections between personality traits and job satisfaction, less is known about how personality relates to aspects of job satisfaction. The objective of this study was to explore the relationships between personality traits and various areas of job satisfaction, including pay, work, security, and hours worked. This study used ordinal regressions to analyze data from 6962 working individuals from the British Household Panel Survey (BHPS). The results showed that Neuroticism consistently has a negative association with all aspects of job satisfaction, whereas Agreeableness and Conscientiousness have positive associations with job satisfaction. Extraversion had a weak negative association with satisfaction with total pay. These findings imply that personality may play a crucial role in shaping areas of job satisfaction.
Low-Carbon Emission Demolition of an Existing Urban Bridge Based on SPMT Technology and Full Procedure Monitoring
Authors: Hou Wenqi , Liang Shiyang , Zhang Tao , Ma Tianzhu , Han Yanqun
Published: May 2023

Due to the need for comprehensive transportation hub construction, an existing bridge in a bustling urban area with an operation duration of 25 years was required to be demolished. Based on Life Cycle Assessment (LCA), this paper proposes a scheme of "Self-propelled modular transporter (SPMT) technology + large segment cutting" to compare the carbon emissions of demolition schemes qualitatively and quantitatively. To ensure structural safety during demolition, the finite element analysis was used to simulate the entire demolishing process, and measuring points were set up to monitor the deformation of the main girder in real time under various demolition conditions. The results indicate that the scheme of SPMT has the lowest carbon emissions during the demolition stage. Additionally, the long-term prestress loss shall be considered when demolishing existing bridges; the suggested 25% proportional value for the long-term prestress loss of the Caitian Bridge is appropriate, which is determined by comparing the calculated results from various formulas. The values of the calculated and measured deformations of the main girder under different working conditions are in good agreement, with errors mostly within 10% and a maximum of no more than 14.7%. The demolition of the entire bridge was completed in a total of 28 h with little noise and pollution, and the impact on daily traffic was avoided, proving that the proposed “SPMT technology + large segment cutting” scheme is safe, efficient, and achieves the goal of green, environmentally friendly, and rapid demolition.
Deep Brain Stimulation beyond the Clinic: Navigating the Future of Parkinson’s and Alzheimer’s Disease Therapy
Authors: Senevirathne Degiri Kalana Lasanga , Mahboob Anns , Zhai Kevin , Paul Pradipta , Kammen Alexandra , Lee Darrin Jason , Yousef Mohammad S. , Chaari Ali
Published: May 2023

Deep brain stimulation (DBS) is a surgical procedure that uses electrical neuromodulation to target specific regions of the brain, showing potential in the treatment of neurodegenerative disorders such as Parkinson’s disease (PD) and Alzheimer’s disease (AD). Despite similarities in disease pathology, DBS is currently only approved for use in PD patients, with limited literature on its effectiveness in AD. While DBS has shown promise in ameliorating brain circuits in PD, further research is needed to determine the optimal parameters for DBS and address any potential side effects. This review emphasizes the need for foundational and clinical research on DBS in different brain regions to treat AD and recommends the development of a classification system for adverse effects. Furthermore, this review suggests the use of either a low-frequency system (LFS) or high-frequency system (HFS) depending on the specific symptoms of the patient for both PD and AD.
Effects of Extreme Temperature and Precipitation Events on Daily CO2 Fluxes in the Tropics
Authors: Gushchina Daria , Tarasova Maria , Satosina Elizaveta , Zheleznova Irina , Emelianova Ekaterina , Novikova Elena , Olchev Alexander
Published: May 2023

The effects of anomalous weather conditions (such as extreme temperatures and precipitation) on CO2 flux variability in different tropical ecosystems were assessed using available reanalysis data, as well as information about daily net CO2 fluxes from the global FLUXNET database. A working hypothesis of the study suggests that the response of tropical vegetation can differ depending on local geographical conditions and intensity of temperature and precipitation anomalies. The results highlighted the large diversity of CO2 flux responses to the fluctuations of temperature and precipitation in tropical ecosystems that may differ significantly from some previously documented relationships (e.g., higher CO2 emission under the drier and hotter weather, higher CO2 uptake under colder and wetter weather conditions). They showed that heavy precipitation mainly leads to the strong intensification of mean daily CO2 release into the atmosphere at almost all stations and in all types of study biomes. For the majority of considered tropical ecosystems, the intensification of daily CO2 emission during cold and wet weather was found, whereas the ecosystems were predominantly served as CO2 sinks from the atmosphere under hot/dry conditions. Such disparate responses suggested that positive and negative temperature and precipitation anomalies influence Gross Primary Production (GPP) and Ecosystem Respiration (ER) rates differently that may result in various responses of Net Ecosystem Exchanges (NEE) of CO2 to external impacts. Their responses may also depend on various local biotic and abiotic factors, including plant canopy age and structure, plant biodiversity and plasticity, soil organic carbon and water availability, surface topography, solar radiation fluctuation, etc.
Design of an Intelligent Decision Support System Applied to the Diagnosis of Obstructive Sleep Apnea
Authors: Casal-Guisande Manuel , Ceide-Sandoval Laura , Mosteiro-Añón Mar , Torres-Durán María , Cerqueiro-Pequeño Jorge , Bouza-Rodríguez José-Benito , Fernández-Villar Alberto , Comesaña-Campos Alberto
Published: May 2023

Obstructive sleep apnea (OSA), characterized by recurrent episodes of partial or total obstruction of the upper airway during sleep, is currently one of the respiratory pathologies with the highest incidence worldwide. This situation has led to an increase in the demand for medical appointments and specific diagnostic studies, resulting in long waiting lists, with all the health consequences that this entails for the affected patients. In this context, this paper proposes the design and development of a novel intelligent decision support system applied to the diagnosis of OSA, aiming to identify patients suspected of suffering from the pathology. For this purpose, two sets of heterogeneous information are considered. The first one includes objective data related to the patient’s health profile, with information usually available in electronic health records (anthropometric information, habits, diagnosed conditions and prescribed treatments). The second type includes subjective data related to the specific OSA symptomatology reported by the patient in a specific interview. For the processing of this information, a machine-learning classification algorithm and a set of fuzzy expert systems arranged in cascade are used, obtaining, as a result, two indicators related to the risk of suffering from the disease. Subsequently, by interpreting both risk indicators, it will be possible to determine the severity of the patients’ condition and to generate alerts. For the initial tests, a software artifact was built using a dataset with 4400 patients from the Álvaro Cunqueiro Hospital (Vigo, Galicia, Spain). The preliminary results obtained are promising and demonstrate the potential usefulness of this type of tool in the diagnosis of OSA.
An Approach to the Teacher Educator’s Pedagogical Content Knowledge for the Development of Professional Noticing in Pre-Service Teacher Education
Authors: Pérez-Montilla Andrés , Arnal-Palacián Mónica
Published: May 2023

This study endeavors to illustrate how research on the professional development of mathematics teachers can help to enhance and nurture the professional knowledge of mathematics teacher educators (MTEs), thus becoming a potential source of professional growth for MTEs. To achieve this, a professional task was administered to 38 prospective secondary teachers from two Spanish public universities to explore their level of development in professional noticing. Specifically, the study focused on their skill of attending to children’s strategies in relation to transformations between semiotic representations as well as their awareness of the role of the semiotic register in task design. Drawing from the responses provided for the task, we offer a range of insights regarding expected or desirable Pedagogical Content Knowledge (MTEPCK) aimed at fostering the development of professional noticing, such as several challenges to be overcome by pre-service teachers or the identification of three potential levels of progression in their skill to attend to children’s strategies.
Using Participatory Teaching in Hands-On Courses: Exploring the Influence of Teaching Cases on Learning Motivation
Authors: Ma Yung-Chuan
Published: May 2023

Industrial design is an applied discipline that combines aesthetics and engineering. Through hands-on activities, students can better understand shapes and details in model making. The literature shows that hands-on courses help enhance students’ creativity, learning motivation, and interest. Model-making courses are one of the hands-on courses in industrial design programs. To enhance students’ learning enthusiasm in the practical course of this study, we introduced a “participatory teaching method”. To examine changes in students’ learning motivation after the new teaching method was introduced, the researchers conducted mid-term and final questionnaires and collected feedback on the students’ learning experiences. The results showed that the introduction of the participatory teaching method had a positive impact on students’ learning motivation, as they could participate in the planning and evaluation of course content. These results can serve as a reference for future course planning.
Preference-Aware Light Graph Convolution Network for Social Recommendation
Authors: Xu Haoyu , Wu Guodong , Zhai Enting , Jin Xiu , Tu Lijing
Published: May 2023

Social recommendation systems leverage the abundant social information of users existing in the current Internet to mitigate the problem of data sparsity, ultimately enhancing recommendation performance. However, most existing recommendation systems that introduce social information ignore the negative messages passed by high-order neighbor nodes and aggregate messages without filtering, which results in a decline in the performance of the recommendation system. Considering this problem, we propose a novel social recommendation model based on graph neural networks (GNNs) called the preference-aware light graph convolutional network (PLGCN), which contains a subgraph construction module using unsupervised learning to classify users according to their embeddings and then assign users with similar preferences to a subgraph to filter useless or even negative messages from users with different preferences to attain even better recommendation performance. We also designed a feature aggregation module to better combine user embeddings with social and interaction information. In addition, we employ a lightweight GNN framework to aggregate messages from neighbors, removing nonlinear activation and feature transformation operations to alleviate the overfitting problem. Finally, we carried out comprehensive experiments using two publicly available datasets, and the results indicate that PLGCN outperforms the current state-of-the-art (SOTA) method, especially in dealing with the problem of cold start. The proposed model has the potential for practical applications in online recommendation systems, such as e-commerce, social media, and content recommendation.
Power Transformers Health Index Enhancement Based on Convolutional Neural Network after Applying Imbalanced-Data Oversampling
Authors: Taha Ibrahim B. M.
Published: May 2023

The transformer health index (HI) concept has been used as an important part of management resources and is implemented for the state assessment and ranking of Power transformers. The HI state is estimated based on many power transformer oil parameters. However, the main problem in the HI procedure as a diagnostic method is the presence of routine measurements and accurate test results. The power transformer HI prediction is carried out in this work using 1361 dataset samples collected from two different utilities. The proposed model is used to predict and diagnose the HI state of the power transformer by using a convolutional neural network (CNN) approach. The imbalance between the training dataset sample classes produces a good prediction of the class with a major number of samples while a low detection of the class has a minor number of samples. The oversampling approach is used to balance the training samples to enhance the prediction accuracy of the classification methods. The proposed CNN model predicts the HI of the power transformers after applying the oversampling approach to the training dataset samples. The results obtained with the proposed CNN model are compared with those obtained with the optimized machine learning (ML) classification methods with the superiority of the CNN results. Feature reductions are applied to minimize testing time, effort, and costs. Finally, the proposed CNN model is checked with uncertain noise in full and reduced features of up to ±25% with a good prediction diagnosis of the power transformer HI.
E-ReInForMIF Routing Algorithm Based on Energy Selection and Erasure Code Tolerance Machine
Authors: Wu Qiong , Huang Hai , Lu Xinmiao , Qu Jiaxing , Gu Juntao , Yang Cunfang
Published: May 2023

Aiming at the problems of data loss and uneven energy consumption in wireless sensor networks during data transmission, this paper proposes a ReInForM transmission fault-tolerant routing algorithm based on energy selection and erasure code fault-tolerant machines (E-ReInForMIF). The E-ReInForMIF algorithm improves the multi-path routing algorithm by combining an erasure coding fault-tolerant machine and node residual energy sorting selection. First, the erasure coding fault-tolerant machine is used to encode the signal, determine the number of transmission paths through multi-path routing, and then select the specific node of the next hop by sorting the residual energy of the node. The E-ReInForMIF routing algorithm effectively solves the problems of uneven energy consumption and data loss in data transmission, improving network lifespan and transmission reliability. Finally, the signal is decoded. The simulation results show that the E-ReInForMIF routing algorithm is superior to the ReInForM routing algorithm in improving the reliability of data transmission.
Metagenomics: An Effective Approach for Exploring Microbial Diversity and Functions
Authors: Nam Nguyen , Do Hoang , Loan Trinh Kieu , Lee Nae
Published: May 2023

Various fields have been identified in the “omics” era, such as genomics, proteomics, transcriptomics, metabolomics, phenomics, and metagenomics. Among these, metagenomics has enabled a significant increase in discoveries related to the microbial world. Newly discovered microbiomes in different ecologies provide meaningful information on the diversity and functions of microorganisms on the Earth. Therefore, the results of metagenomic studies have enabled new microbe-based applications in human health, agriculture, and the food industry, among others. This review summarizes the fundamental procedures on recent advances in bioinformatic tools. It also explores up-to-date applications of metagenomics in human health, food study, plant research, environmental sciences, and other fields. Finally, metagenomics is a powerful tool for studying the microbial world, and it still has numerous applications that are currently hidden and awaiting discovery. Therefore, this review also discusses the future perspectives of metagenomics.
Meat Consumption, Sustainability and Alternatives: An Overview of Motives and Barriers
Authors: Font-i-Furnols Maria
Published: May 2023

Meat and meat products are important sources of protein in the human diet. However, their consumption or excessive consumption has been questioned as this has been related to sustainability and health issues. Due to this, alternatives to conventional meat consumption, such as meat produced more sustainably or meat alternatives, have been considered. The aim of the present work is to gain insight into the meat consumption of different countries, the motives for and barriers to this consumption, as well as into the consumption of more sustainably produced meat with particular focus on organic meat and meat alternatives. Information on meat consumption has been obtained using FAOSTAT data and maps have been constructed using SAS software. Results showed that, in general, albeit with variations between and within countries, there is a tendency to decrease red meat consumption and increase poultry consumption, while for pork consumption the tendency is less clear. Motives and barriers for meat and meat alternative consumption have been reviewed and it is possible to see that these are very variable and that they, in addition to the intrinsic and extrinsic characteristics of the meat, are also related to consumers’ attitudes and beliefs. Thus, it is important to inform consumers in a truthful and reliable way in order to allow them to make well-founded decisions regarding the consumption of these products.
“This Girl Changed the Story of the World”: Queer Complications of Authority in KindaTV’s Carmilla
Authors: Crape Drumlin N. M.
Published: May 2023

This article investigates the intersection of adaptations of narrative content and form as exemplified in the KindaTV YouTube series Carmilla (2014–2016), a contemporary revisioning of Joseph Sheridan Le Fanu’s 1872 vampire novella of the same name. By contextualizing Le Fanu’s text within the emerging medicalized discourse around so-called deviant sexualities and close reading the invocations of medical, legal, and narrative authority within Carmilla, I reveal an approach to authority which upholds hegemony. Consequently, in engaging with KindaTV’s YouTube adaptation, the rehabilitating of queer feelings and connections reframes authority within the narrative, while the interactive platform and active fan communities resist the idea of a single textual authority. By considering the source text and adaptation through the lens of authority, it becomes clear that, as part of addressing the homophobic history of the Gothic, KindaTV’s Carmilla presents a world full of possibilities that directly opposes the way authorities like legal, medical, and academic systems have historically pathologized queer people.
Editorial for the Special Issue on Aquatic Ecosystems and Water Resources
Authors: Saha Amartya K.
Published: May 2023

Water is essential for all life, as the age-old universal adage holds[...]
Effects of Soluble Guanylate Cyclase Stimulators and Activators on Anti-Aggregatory Signalling in Patients with Coronary Artery Spasm
Authors: Muminovic Armin , Chirkov Yuliy Y. , Horowitz John D.
Published: May 2023

Impairment of the nitric oxide/soluble guanylate cyclase (NO)/sGC) signalling cascade is associated with many forms of cardiovascular disease, resulting not only in compromised vasodilatation but also loss of anti-aggregatory homeostasis. Myocardial ischaemia, heart failure, and atrial fibrillation are associated with moderate impairment of NO/sGC signalling, and we have recently demonstrated that coronary artery spasm (CAS) is engendered by severe impairment of platelet NO/sGC activity resulting in combined platelet and vascular endothelial damage. We therefore sought to determine whether sGC stimulators or activators might normalise NO/sGC homeostasis in platelets. ADP-induced platelet aggregation and its inhibition by the NO donor sodium nitroprusside (SNP), the sGC stimulator riociguat (RIO), and the sCG activator cinaciguat (CINA) alone or in addition to SNP were quantitated. Three groups of individuals were compared: normal subjects (n = 9), patients (Group 1) with myocardial ischaemia, heart failure and/or atrial fibrillation (n = 30), and patients (Group 2) in the chronic stage of CAS (n = 16). As expected, responses to SNP were impaired (p = 0.02) in patients versus normal subjects, with Group 2 patients most severely affected (p = 0.005). RIO alone exerted no anti-aggregatory effects but potentiated responses to SNP to a similar extent irrespective of baseline SNP response. CINA exerted only intrinsic anti-aggregatory effects, but the extent of these varied directly (r = 0.54; p = 0.0009) with individual responses to SNP. Thus, both RIO and CINA tend to normalise anti-aggregatory function in patients in whom NO/sGC signalling is impaired. The anti-aggregatory effects of RIO consist entirely of potentiation of NO, which is not selective of platelet NO resistance. However, the intrinsic anti-aggregatory effects of CINA are most marked in individuals with initially normal NO/sGC signalling, and thus their magnitude is at variance with extent of physiological impairment. These data suggest that RIO and other sGC stimulators should be evaluated for clinical utility in both prophylaxis and treatment of CAS.
A Comprehensive Analysis of the Expression Profiles of KCTD Proteins in Acute Lymphoblastic Leukemia: Evidence of Selective Expression of KCTD1 in T-ALL
Authors: Buono Lorena , Iside Concetta , Pecoraro Giovanni , De Matteo Antonia , Beneduce Giuliana , Penta de Vera d’Aragona Roberta , Parasole Rosanna , Mirabelli Peppino , Vitagliano Luigi , Salvatore Marco , Smaldone Giovanni
Published: May 2023

Acute leukemia is the most common pediatric cancer. In most cases, this disease results from the malignant transformation of either the B-cell (B-ALL) or, less frequently, T-cell progenitors (T-ALL). Recently, a marked overexpression of KCTD15, a member of the emerging class of the potassium (K) channel tetramerization domain-containing proteins (KCTDs) has been detected in both patients and continuous cell lines as in vitro model systems. Because there is growing evidence of the key, yet diversified, roles played by KCTDs in cancers, we here report an exhaustive analysis of their expression profiles in both B-ALL and T-ALL patients. Although for most KCTDs, no significant alterations were found in these pathological states, for some members of the family, significant up- and down-regulations were detected in comparison with the values found in healthy subjects in the transcriptome analysis. Among these, particularly relevant is the upregulation of the closely related KCTD1 and KCTD15 in T-ALL patients. Interestingly, KCTD1 is barely expressed in both unaffected controls and B-ALL patients. Therefore, not only does this analysis represent the first study in which the dysregulation of all KCTDs is simultaneously evaluated in specific pathological contexts, but it also provides a promising T-ALL biomarker that could be suitable for clinical applications.
Biological Treatment for Uncontrolled Chronic Rhinosinusitis with Nasal Polyps: Preliminary Real-World Results from a Tertiary Medical Center
Authors: Book Reut , Eligal Shalom , Tal Yuval , Eliashar Ron
Published: May 2023

The efficacy of biological treatment for severe uncontrolled chronic rhinosinusitis with nasal polyps (CRSwNP) has recently been demonstrated through double-blinded clinical trials. The aim of this study was to provide preliminary real-world experience regarding biological therapy for uncontrolled CRSwNP. The records of patients who received biological treatment in a tertiary medical center between the years 2019 to 2022 were retrospectively reviewed. Patients included in this study were eligible for biological treatment according to the EPOS 2020 criteria. Among patients who had their first follow-up visit <6 months from the treatment initiation, the Sino-Nasal Outcome Test 22 Questionnaire (SNOT-22) score had decreased by 22% (p = 0.01) and the nasal polyp score (NPS) had decreased by 48% (p = 0.05). Among patients who had their first follow-up visit ≥6 months from treatment initiation, the SNOT-22 score had decreased by 40% (p = 0.03) and the NPS had decreased by 39% (p = 0.1). The number of patients who needed systemic steroid treatment had decreased by 68% (p < 0.0001), and the number of patients who needed endoscopic sinus surgery had decreased by 74% (p < 0.0001). These findings correspond with the improvement of clinical symptoms observed in prior randomized clinical trials, thus showing the effectiveness of biologic medications in the treatment of severe CRSwNP in a real-life setting. Although further cohort studies are warranted, our study also suggests evaluating patients at follow-up visits mainly by quality-of-life aspects and investigating longer dosing intervals of dupilumab.
Effects of Non-Invasive Neuromodulation of the Vagus Nerve for Management of Tinnitus: A Systematic Review with Meta-Analysis
Authors: Fernández-Hernando David , Fernández-de-las-Peñas Cesar , Machado-Martín Ana , Angulo-Díaz-Parreño Santiago , García-Esteo Francisco J. , Mesa-Jiménez Juan A.
Published: May 2023

Background: Tinnitus is the perception of sound in the absence of actual external stimuli. Other associated symptoms include frustration, annoyance, anxiety, depression, stress, cognitive dysfunction, insomnia, or emotional exhaustion. Objective: In this study, we aimed to conduct a systematic review and meta-analysis on the effectiveness of the non-invasive neuromodulation of the vagus nerve in patients with tinnitus. Methods: Six databases were searched from their date of inception to 15 June 2022 to identify clinical trials in which at least one group received any form of non-invasive neuromodulation of the vagus nerve for tinnitus management, with outcomes based on annoyance and related disability. Data on participants, interventions, blinding strategies, assessment outcomes, and results were extracted by two reviewers. Results: The search identified 183 articles with five clinical trials eligible for inclusion in the review and four for the meta-analysis. The methodological quality scores ranged from 6 to 8 (mean: 7.3, SD: 0.8) points. The meta-analysis identified a significant positive effect on THI post-treatment for unilateral auricular stimulation (hg = 0.69, 95% CI 0.06, 1.32) or transcutaneous nerve stimulation (hg = 0.51, 95% CI 0.1, 0.9) compared with a comparative group. No effect on loudness intensity was observed. Conclusion: The results of the meta-analysis suggest that the application of the non-invasive neuromodulation of the vagus nerve has a positive effect post-treatment in terms of related disability in patients with tinnitus, although its clinical relevance is low. No firm conclusions about the effect of the non-invasive neuromodulation of the vagus nerve on tinnitus are available based on the current literature.
The Evaluation of Oral Health Condition and Oral and Dental Care in Children with Congenital Heart Disease
Authors: Saraç Fatma , Derelioğlu Sera Şimşek , Şengül Fatih , Laloğlu Fuat , Ceviz Naci
Published: May 2023

Objective: Congenital heart disease (CHD) plays a key role in oral and dental health regarding its own impacts on teeth (i.e., enamel hypoplasia), infective endocarditis and choice of dental treatment. The purpose of this study’s comparing the oral and dental health status in children with or without CHD is to contribute to the literature by determining the effects of CHD on oral and dental health. Material and Methods: The present study was conducted using a descriptive and correlational design and consisted of 581 children aged between 6 months and 18 years who were healthy (n = 364) or experienced CHD (n = 217). CHD-impacted children were classified according to their shunt and stenosis and then their saturation values were noted. In the intraoral examination, caries data (dmft/DMFT, PUFA/pufa), oral hygiene (OHI-S) and enamel defect (DDE) indices were recorded. Statistical analyses were performed using SPSS 26.0 at a significance level of 0.05. Results: In our study, caries index scores of children with or without CHD in primary or permanent dentition were found to be similar. The mean OHI-S index (p < 0.001) and gingivitis findings (p = 0.047) of children with CHD had a higher prevalence than the healthy ones. The incidence of enamel defects was determined as 16.5% in CHD-affected children whereas an incidence rate of 4.7% was observed in healthy children. The mean saturation value of the participants with enamel defects (89 ± 8.9) was observed to be significantly lower (p = 0.03) than the patients with no enamel defects (95 ± 4.2). Conclusions: Whereas the caries index scores of CHD-affected children with a history of hypoxia in primary and permanent dentition were found to be similar to the healthy ones, children with CHD were observed to be more prone to enamel defects and periodontal diseases. Furthermore, considering the risk of infective endocarditis resulting from existing carious lesions and periodontal problems, it is highly important for pediatric cardiologists, pediatricians and pediatric dentists to collaborate in a multidisciplinary manner.
Ultra-Low-Power ICs for the Internet of Things
Authors: Aiello Orazio
Published: May 2023

The collection of research works in this Special Issue focuses on Ultra-Low-Power (ULP) Integrated Circuits (ICs) operating under a tight budget of power as a criterion to build electronic devices relying less and less on batteries [...]
Examining the Impact of China’s Poverty Alleviation on Nighttime Lighting in 831 State-Level Impoverished Counties
Authors: Shen Yiguo , Chen Xiaojie , Yao Qingxin , Ding Jiahui , Lai Yuhan , Rao Yongheng
Published: May 2023

China’s poverty alleviation projects have made significant contributions to global poverty eradication. This study investigates the impact of China’s poverty alleviation projects on nighttime lighting in 831 state-level impoverished counties using the “NPP-VIIRS-like” dataset and discusses the difference of land use change under different nighttime light clusters in order to provide reference for future policy formulation and implementation. Our results show that the growth of total intensity of nighttime lighting (GRTNL) and the year-on-year growth rate of total intensity of nighttime lighting (YGRTNL) in China’s impoverished counties are 103.74% and 9.69% from 2013 to 2021, respectively, which are both higher than the average levels of all counties (67.16%, 6.77%) and non-poor counties (64.68%, 6.56%) in China during the same period. Additionally, we discovered that impoverished counties that lifted out of poverty earlier had significantly higher nighttime lighting intensity than those later. Regional analysis reveals that the growth of nighttime lighting intensity shows a trend of decreasing from the central (1550.89 nW·cm−2·sr−1) to the eastern (924.57), western (762.57), and northeastern regions (588.07), while the growth rate decreases from western regions (282.46%) to the eastern (189.13%), central (178.56%), and northeastern (108.07%). We also identified that Gini coefficient of nighttime lighting has a trend of “slow and short-term rise-rapid and continuous decline”. Moreover, nighttime lighting growth had similar trends with land use change, especially construction land. Overall, our study provides novel insights into the relationship between poverty alleviation effects and nighttime lighting in China’s impoverished counties, which could inform future policy-making and research in this area.
Acute Renal Vein Thrombosis Following COVID-19 in a Lupus Patient: A Case Report and Review of the Literature
Authors: Petrou Dimitra , Sardeli Aggeliki , Vlachoyiannopoulos Panayiotis , Moschovaki-Zeiger Ornella , Lionaki Sophia
Published: May 2023

Purpose: The association between COVID-19 and hypercoagulability is well established. This is a case of a patient with systemic lupus erythematosus (SLE) who developed unilateral renal vein thrombosis following COVID-19, the third case described in the international literature so far. Methods: Clinical, laboratory characteristics and outcomes of the patient were described in detail. Literature review was performed on MEDLINE database via Pubmed. Search items included COVID-19, renal infarction, and renal thrombosis. A total of fifty-three cases were located. Of these, only two patients had renal vein thrombosis but none of them carried a diagnosis of SLE. However, six cases have been published so far involving SLE patients in whom thromboembolic events developed following COVID-19, but none of them experienced renal vein thrombosis. Conclusion: The present case adds a new piece to the emerging puzzle of COVID-19 associated hypercoagulability, especially among patients with autoimmune diseases.
Diagnostic Capability of Isolated-Check Visual Evoked Potential for Early to Moderate Primary Open-Angle Glaucoma
Authors: Wang Xia , Fang Yuan , Li Ruoshi , Pan Yingzi
Published: May 2023

This study aimed to evaluate the diagnostic capability of isolated-check visual evoked potential (icVEP) for primary open-angle glaucoma (POAG) via comparison with visual field (VF) tests and pattern visual evoked potential (PVEP). This cross-sectional study enrolled 68 subjects, including 33 POAG patients and 35 controls. All subjects underwent a complete ophthalmic examination, including icVEP, PVEP, and VF tests. The diagnostic performance, the area under the receiver operating characteristic curve (AUC), the integrated discrimination index (IDI), and the net reclassification index (NRI) were calculated. The clinical benefits of the three tests were compared via decision curve analysis (DCA) of the signal-to-noise ratio (SNR) from icVEP, the P100 latency and amplitude of 1° and 0.25° checks from the PVEP, pattern standard deviation (PSD), and mean deviation (MD) from the VF test. The SNR, MD and PSD, PVEP P100 latency of 0.25° checks, and P100 amplitude (both 1° and 0.25° checks) showed significant differences between the POAG and control groups (* p < 0.05), except for the P100 latency of 1° checks. Regarding diagnostic ability, the three tests, AUC, IDI, and NRI, showed no significant difference (p > 0.05). The DCA showed that the clinical benefits of icVEP (SNR) were comparable to those of VF (MD and PSD) and better than those of PVEP (P100 latency and amplitude). In addition, no significant difference was found in the consistency analysis of the qualitative comparison between the icVEP, VF, and PVEP (McNemar p > 0.05). In this study, icVEP showed a diagnostic ability for early to moderate POAG patients comparable to VF and PVEP. IcVEP might be applied as a supplementary psychophysical examination method in addition to VF examinations for special POAG populations who have difficulty cooperating with the VF examination.
Thermal Conductivity for p–(Bi, Sb)2Te3 Films of Topological Insulators
Authors: Lukyanova Lidia N. , Boikov Yuri A. , Usov Oleg A. , Danilov Viacheslav A. , Makarenko Igor V. , Petrov Vasilii N.
Published: May 2023

In this study, we investigated the temperature dependencies of the total, crystal lattice, and electronic thermal conductivities in films of topological insulators p–Bi0.5Sb1.5Te3 and p–Bi2Te3 formed by discrete and thermal evaporation methods. The largest decrease in the lattice thermal conductivity because of the scattering of long-wavelength phonons on the grain interfaces was observed in the films of the solid-solution p–Bi0.5Sb1.5Te3 deposited by discrete evaporation on the amorphous substrates of polyimide without thermal treatment. It was shown that in the p–Bi0.5Sb1.5Te3 films with low thermal conductivity, the energy dependence of the relaxation time is enhanced, which is specific to the topological insulators. The electronic thermal conductivity was determined by taking into account the effective scattering parameter in the relaxation time approximation versus energy in the Lorentz number calculations. A correlation was established between the thermal conductivity and the peculiarities of the morphology of the interlayer surface (0001) in the studied films. Additionally, the total κ and the lattice κL thermal conductivities decrease, while the number of grains and the roughness of the surface (0001) increase in unannealed films compared to annealed ones. It was demonstrated that increasing the thermoelectric figure of merit ZT in the p–Bi0.5Sb1.5Te3 films formed by discrete evaporation on a polyimide substrate is determined by an increase in the effective scattering parameter in topological insulators due to enhancement in the energy dependence of the relaxation time.