bluuebunny/crossref_metadata_2025 huggingface dataset:
PanicRoom: a virtual reality-based Pavlovian fear conditioning paradigm
Authors: Lucifora Chiara , Gangemi Aldo , D’Italia Giovanni , Culicetto Laura , Ferraioli Francesca , Grasso Giorgio Mario , Vicario Carmelo Mario
Published: October 2024

Introduction

Pavlovian fear conditioning is an experimental paradigm used to study the acquisition and extinction of fear responses and the various aspects of fear and anxiety. We developed a virtual reality (VR) version of this paradigm to leverage the benefits of virtual reality, such as ecological validity, standardization, safety, and therapeutic applications. Our objective was to create an open-source and immersive environment for studying fear-related responses using Unity Engine 3D and the Oculus Rift device.

Methods

In this virtual environment, the participants encountered a monster screaming at 100 dB approaching them as the fear-inducing stimulus (unconditioned stimulus or US). Our protocol included three sessions: habituation, acquisition, and extinction, with two stimuli associated with different doors (blue vs. red). The blue door (CS+) was linked to the US, while the red door (CS−) was the control. We tested this VR paradigm on 84 young participants, recording their skin conductance response (SCRs) and fear stimulus ratings (FSRs) on a 10-point Likert scale.

Results

The findings showed significantly higher SCRs and FSRs for CS+ as compared to CS− during the acquisition phase and higher SCRs and FSRs for CS+ during the acquisition phase as compared to the habituation and extinction sessions.

Discussion and conclusions

These results supported the reliability of the protocol for studying fear and anxiety-related conditions.
Generative artificial intelligence model for simulating structural brain changes in schizophrenia
Authors: Yamaguchi Hiroyuki , Sugihara Genichi , Shimizu Masaaki , Yamashita Yuichi
Published: October 2024

Background

Recent advancements in generative artificial intelligence (AI) for image generation have presented significant opportunities for medical imaging, offering a promising way to generate realistic virtual medical images while ensuring patient privacy. The generation of a large number of virtual medical images through AI has the potential to augment training datasets for discriminative AI models, particularly in fields with limited data availability, such as neuroimaging. Current studies on generative AI in neuroimaging have mainly focused on disease discrimination; however, its potential for simulating complex phenomena in psychiatric disorders remains unknown. In this study, as examples of a simulation, we aimed to present a novel generative AI model that transforms magnetic resonance imaging (MRI) images of healthy individuals into images that resemble those of patients with schizophrenia (SZ) and explore its application.

Methods

We used anonymized public datasets from the Center for Biomedical Research Excellence (SZ, 71 patients; healthy subjects [HSs], 71 patients) and the Autism Brain Imaging Data Exchange (autism spectrum disorder [ASD], 79 subjects; HSs, 105 subjects). We developed a model to transform MRI images of HSs into MRI images of SZ using cycle generative adversarial networks. The efficacy of the transformation was evaluated using voxel-based morphometry to assess the differences in brain region volumes and the accuracy of age prediction pre- and post-transformation. In addition, the model was examined for its applicability in simulating disease comorbidities and disease progression.

Results

The model successfully transformed HS images into SZ images and identified brain volume changes consistent with existing case-control studies. We also applied this model to ASD MRI images, where simulations comparing SZ with and without ASD backgrounds highlighted the differences in brain structures due to comorbidities. Furthermore, simulating disease progression while preserving individual characteristics showcased the model’s ability to reflect realistic disease trajectories.

Discussion

The results suggest that our generative AI model can capture subtle changes in brain structures associated with SZ, providing a novel tool for visualizing brain changes in different diseases. The potential of this model extends beyond clinical diagnosis to advances in the simulation of disease mechanisms, which may ultimately contribute to the refinement of therapeutic strategies.
Passiflora incarnata L., herba, in benzodiazepine tapering: long-term safety and efficacy in a real-world setting
Authors: Carminati Matteo , Tondello Mattia , Zanardi Raffaella
Published: October 2024

Introduction

Chronic and inappropriate benzodiazepine (BDZ) prescription and intake represent an important health and social concern worldwide. The aim of our study was to investigate the safety and efficacy of P. incarnata L., herba in reducing BDZ misuse in a real-world population of depressed and anxious patients in a long-term treatment with BDZs.

Methods

Over an 18-month period (from July 2021 to December 2022), we previously conducted a retrospective and naturalistic study on euthymic outpatients with a diagnosis of anxiety or depression and chronically taking BDZs. In this study we contacted patients 12 months after their enrollment in the previous study to assess their disease status and their BDZs and P. incarnata intake.

Results

Our findings support the effectiveness of a dry extract of P. incarnata L., herba, as an add-on treatment during BDZ tapering in patients with anxiety or depression. We confirmed this effect to be sustained over time, and P. incarnata showed to be easily discontinued with no rebound, withdrawal or psychological dependence effect. The absence of side effects and adverse events confirmed the safety of P. incarnata in a real-world population. Personality disorders confirmed to be a relevant risk factor for maintaining addictive behavior, even when symptoms associated to withdrawal seem to be not particularly relevant.

Discussion

We confirmed the possible effectiveness of P. incarnata as an add-on treatment in BDZ reduction. Further studies may be helpful to better investigate the promising properties of P. incarnata in the management of relevant clinical issues, such as anxiety disorders and addiction, that are classically known to benefit from GABAergic treatments.
Musculoskeletal disorders among teachers: a systematic review and meta-analysis
Authors: Tahernejad Somayeh , Hejazi Anahita , Rezaei Ehsan , Makki Faezeh , Sahebi Ali , Zangiabadi Zahra
Published: October 2024

Introduction

As a result of the demands of their profession, teachers encounter a range of ergonomic risk factors and are highly susceptible to developing musculoskeletal disorders (MSDs). Accordingly, this systematic review and meta-analysis was carried out to examine the frequency of MSDs among teachers.

Materials and methods

The present research followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines and its protocol was registered in international prospective register of systematic review (PROSPERO) under the code CRD42024509263. To conduct the searches, various databases such as PubMed, Scopus, Web of Science, Science Direct, SID, ISC, and Google Scholar were utilized, and the search period was until February 7th, 2024 without time restriction. A random effects model was employed for meta-analysis, and I2 index was utilized to assess heterogeneity among the studies. Data analysis was carried out using STATA (version 14).

Results

After an initial search across the mentioned databases, a total of 2,047 articles were identified. Following screening, study selection, and quality evaluation, 44 studies were ultimately chosen for meta-analysis, involving 15,972 teachers. The results of the meta-analysis revealed that the overall prevalence of MSDs among teachers is 68% (95% CI: 61–75, I2 = 99.2%, p < 0.001). Furthermore, the prevalence rates of MSDs in different body regions, such as the neck (47%), lower back (47%), shoulder (44%), upper back (37%), knee (35%), ankle (30%), wrist (27%), hip (22%), and elbow (13%), were reported.

Conclusion

The overall prevalence of MSDs among teachers is relatively high. Neck and lower back pain are more common among them compared to other body regions. It is recommended that periodic occupational medicine examinations, training, and the implementation of ergonomic interventions for this occupational group focus on assessing the risk factors for MSDs, especially in the neck and lower back regions.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=509263, identifier CRD42024509263.
Perceptions of primary healthcare providers for screening and management of mental health disorders in India: a qualitative study
Authors: Sangwan Ramesh Kumar , Kansara Darshana , Matoria Santosh , Ali Haider , Khetan Mukti , Singh Vishal , Thakor Mahendra , Huda Ramesh Kumar , Babu Bontha V.
Published: October 2024

Introduction

Individuals experiencing mental health disorders encounter numerous challenges while accessing mental healthcare services. Despite the inclusion of mental health in the primary healthcare system, screening and managing mental health disorders remain significantly overlooked. Therefore, there is a need to understand the perceptions of healthcare providers in primary care settings, identify the challenges faced, and gather suggestions for effective mental healthcare delivery.

Methods

The present qualitative study was conducted in 13 primary healthcare facilities in the Jodhpur district of Rajasthan, India, from 2023 to 2024 among 25 primary healthcare providers. Semi-structured interview guides were developed for each category of primary healthcare provider, including Medical Officers, Community Health Officers, and General Nurse Midwives, Auxiliary Nurse Midwives and in-depth interviews were recorded, transcribed, and thematically analyzed using codes and sub-codes.

Results

Results are summarized under the themes: (i) Navigating Mental Healthcare in Primary Healthcare Facilities, (ii) Challenges and Barriers in Mental Healthcare Delivery, (iii) Recommendation for Enhancing Mental Healthcare Services, and (iv) Approaches for Comprehensive Capacity Building Training and Module and further findings of each theme are presented under various sub-themes.

Conclusion

The findings suggest that despite a perceived competence in providing mental health services, there were substantial levels of negative attitudes towards mental health disorders among participants and provide insights for policymakers and healthcare professionals to develop targeted interventions and improve mental healthcare delivery at primary care facilities.
The influence of physical literacy of student with different obesity levels on physical fitness: the mediating effect of MVPA
Authors: Yan Wenjing , Nie Mingjian , Ma Ruisi , Guo Qi , Li Hongjuan
Published: October 2024

Background

Perceived physical literacy (PL) is a potential factor for improving health and physical activity, but the relationship between PL and physical fitness (PF) among college students with different obesity levels has not yet been determined.

Purpose

The aim of this study was to explore the correlation between PL, moderate-to-vigorous physical activity (MVPA), and PF among college students with different obesity levels.

Methods

We recruited Chinese university students to complete a questionnaire and conducted a survey using the Perceived Physical Literacy Instrument Scale (PPLI-SC) and the International Physical Activity Questionnaire Short Form (IPAQ-SF). The physical fitness test data were used for data analysis. The direct and indirect impacts were analyzed using Pearson correlation and the SPSS Hayes process macro (Model 4).

Results

The study surveyed 909 boys and 1,668 girls for a total of 2,577 valid questionnaires. Similarly, the MVPA and perceived PL of boys were significantly greater than those of girls (p < 0.01), but the opposite was true for the PF score. The correlation analysis showed that MVPA, perceived PL, and PF were significantly correlated (p < 0.01). For normal weight student, the results showed that the direct effect of PL on PF was still statistically significant (β = 0.076, p < 0.01) after adding MVPA; MVPA had a positive effect on PF after controlling for perceived PL (β = 0.055, p < 0.05). Perceived PL has a positive effect on MVPA (β = 0.123, p < 0.01). The mediating effect of MVPA was notably significant, with a mediation effect percentage of 7.9%. However, it has been found that among the underweight population, there is an absence of a significant relationship between PL, PF, and MVPA (p > 0.05). Contrarily, in the overweight and obese groups, the mediating role of MVPA in the relationship between PL and PF was not statistically supported (−0.002, 0.033).

Conclusion

For normal weight student, perceived PL has a positive impact on PF and can also be promoted by increasing the pathway of MVPA. For both underweight individuals and obese populations, further investigation is needed into methods for promoting PA and improving PF.
Assessing the hidden dangers of volcanic CO2 exposure: a critical review of health impacts
Authors: Boada Luis D. , Simbaña-Rivera Katherine , Rodríguez-Pérez C. , Fuentes-Ferrer M. , Henríquez-Hernández Luis Alberto , López-Villarrubia E. , Alvarez-León E. E.
Published: October 2024

Volcanic eruptions pose significant health risks to inhabitants of affected regions, with volcanic gases, including carbon dioxide (CO2), being a notable concern. This review examines the implications of long-term exposure to volcanic CO2 emissions on public health, highlighting the shift in understanding from acute to chronic health effects. Recent studies have underscored the need to reevaluate the adverse health impacts of CO2 beyond acute toxicity symptoms. While previous guidelines deemed an indoor (residential) acceptable long-term exposure range (ALTER) of ≤3,000 parts per million (ppm) in residential housing areas, emerging evidence suggests that even concentrations within the range of 3,000 to 1,000 ppm may induce deleterious health effects. International agencies now advocate for lower safe indoor CO2 levels (600–1,000 ppm), necessitating a reassessment of public health strategies in volcanic areas. This review argues for increased awareness among local and public health authorities about the chronic toxicity of CO2 exposure and emphasizes the importance of safeguarding populations from the adverse health effects induced by CO2 exposure.
Applications of artificial intelligence in emergency and critical care diagnostics: a systematic review and meta-analysis
Authors: Sreedharan Jithin K. , Saleh Fred , Alqahtani Abdullah , Albalawi Ibrahim Ahmed , Gopalakrishnan Gokul Krishna , Alahmed Hadi Abdullah , Alsultan Basem Ahmed , Alalharith Dhafer Mana , Alnasser Musallam , Alahmari Ayedh Dafer , Karthika Manjush
Published: October 2024

Introduction

Artificial intelligence has come to be the highlight in almost all fields of science. It uses various models and algorithms to detect patterns and specific findings to diagnose a disease with utmost accuracy. With the increasing need for accurate and precise diagnosis of disease, employing artificial intelligence models and concepts in healthcare setup can be beneficial.

Methodology

The search engines and databases employed in this study are PubMed, ScienceDirect and Medline. Studies published between 1st January 2013 to 1st February 2023 were included in this analysis. The selected articles were screened preliminarily using the Rayyan web tool, after which investigators screened the selected articles individually. The risk of bias for the selected studies was assessed using QUADAS-2 tool specially designed to test bias among studies related to diagnostic test reviews.

Results

In this review, 17 studies were included from a total of 12,173 studies. These studies were analysed for their sensitivity, accuracy, positive predictive value, specificity and negative predictive value in diagnosing barrette’s neoplasia, cardiac arrest, esophageal adenocarcinoma, sepsis and gastrointestinal stromal tumors. All the studies reported heterogeneity with p-value <0.05 at confidence interval 95%.

Conclusion

The existing evidential data suggests that artificial intelligence can be highly helpful in the field of diagnosis providing maximum precision and early detection. This helps to prevent disease progression and also helps to provide treatment at the earliest. Employing artificial intelligence in diagnosis will define the advancement of health care environment and also be beneficial in every aspect concerned with treatment to illnesses.
Acoustic Emission Characteristics of Galling Behavior from Dry Scratch Tests at Slow Sliding Speed
Authors: Devenport Timothy M. , Lu Ping , Rolfe Bernard F. , Pereira Michael P. , Griffin James M.
Published: October 2024

Galling wear, a severe form of wear, is a known problem in sheet metal forming. As the wear state is not directly observable in closed tribosystems, such as in industrial sheet metal forming processes, indirect tool wear monitoring techniques for inferring the wear state of the tool from suitable signal characteristics are the subject of intense research. The analysis of acoustic emissions is a promising technique for tool condition monitoring. This research has explored feature selection using t-tests, linear regression models, and cluster analysis of the data. This analysis has been conducted both with and without the inclusion of control variables, friction, and roughness to discriminate between the behavior of the acoustic emissions during different stages of galling wear. Scratch testing at slow sliding speed (1 mm/s) has been used to produce the galling wear between a tool steel indenter and aluminum sheet at 10 N applied load, for which the acoustic emissions were recorded. The bursts of the acoustic emission signal were processed and investigated to observe how the bursts changed with increasing galling damage (increasing material removal and transfer). Novel parameters in the field of galling wear have been identified, and novel models for observing the change in galling wear have been identified, thus furthering the development of acoustic emissions analysis as a non-invasive condition monitoring system, particularly for sheet metal forming processes.
The Study of the Salient Pole Geometry Optimization of the Flux Switching Permanent Magnet Machine
Authors: Liu Chen , Xu Dewei , Wu Wenwu , Yang Bo
Published: October 2024

The flux switching permanent magnet (FSPM) motor is a stator permanent magnet motor. The typical FSPM motor is doubly salient, which generates torque ripple and affects the rotation smoothness. In this paper, the influence of salient pole geometric sizes on motor torque performance is studied to reduce motor torque ripple and improve motor torque density. First, three indicators are defined to present the motor torque characters, including the average torque, torque ripple, and the volume of permanent magnet material usage. Then, the model of salient pole geometric sizes function to the three indicators is created. With this model, the optimal solution is obtained by the multi-objective numerical optimization. Based on the optimized results, the rotor shape is refined and analyzed as the supplementary to reduce the torque ripple further. Finally, the results show that the optimization procedure in this paper can effectively weaken the torque ripple, reduce the permanent magnet material usage, and improve the average output torque of the motor. Based on the optimized data, the prototype machine is built to verify the analysis results and prove the feasibility of this research.
Festuca ovina L. As a Monitor Plant Species of Traffic Air Along the Highway in of the City of Warsaw (Poland)
Authors: Jędrzejuk Agata , Chyliński Filip , Fornal-Pieniak Beata
Published: October 2024

In the urban environment dust particles form a major part of air pollutants and can affect the physiological functions of the plant. Plants proved to be very powerful tools in as-sessing environmental pollution because of their wide distribution. Festuca ovina is a durable plant with specific habitat requirements, but there is no data on physiological response on traffic pollution. The purpose of the study was to measure impact of traffic pollution for Festuca ovina plant to different distance from the source of pollution (highway) basing on physiological markers and microscopical ob-servations. 3 hypoteses were formulated concerning the effect of distance from the source of pollution to the reaction of plants; difference of physiological reaction of leaves and roots to stress conditions; roots as a better indicator of urban pollutions. Current results suggest that Festuca ovina could serve as an effective plant marker for monitoring traffic pollution. The combination of high flavonoid production and reduced free proline concentration in leaves were observed and may suggests the potential tolerance of this plant species to traffic highway pollution. Ammonia content may be a good indicator or ROS accumulation in leaves and roots of plants according to the distance of the pollution source.
Bridging Anesthesia and Sustainability: A Special Article for a Path towards Eco-Conscious Practice
Authors: Cappellini Iacopo , Schirru Elena
Published: October 2024

Background: Climate change has been identified as the greatest global health threat of the 21st century, with the healthcare sector contributing approximately 4–5% of global greenhouse gas (GHG) emissions. Within this sector, anesthetic practices are significant contributors due to the use of inhaled anesthetic gases such as desflurane, sevoflurane, and isoflurane, which possess high Global Warming Potentials (GWPs) and long atmospheric lifetimes. As concerns over climate change intensify, the anesthesia community must reassess its practices and adopt more sustainable approaches that align with environmental goals while maintaining patient safety. Methods: This manuscript reviews the environmental impacts of commonly used anesthetic gases and explores sustainable strategies, including the adoption of anesthetics with lower GWPs, enhancement of recycling and waste reduction methods, transition to intravenous anesthesia, and implementation of low-flow anesthesia techniques. Barriers to these strategies, such as technological limitations, resistance to change, policy restrictions, and educational gaps within the anesthesia community, are also examined. Results: The analysis indicates that transitioning to anesthetics with lower GWPs, such as replacing desflurane with sevoflurane and employing low-flow anesthesia, can significantly reduce GHG emissions. Although recycling and waste reduction pose logistical challenges, they offer additional environmental benefits. Transitioning to intravenous anesthesia can eliminate direct GHG emissions from volatile anesthetics. However, overcoming barriers to these strategies requires comprehensive education, advocacy for research and innovation, strategic change management, and supportive policy frameworks. Conclusions: Continuous monitoring and evaluation are essential for the success of sustainable practices in anesthesia. Establishing robust Key Performance Indicators (KPIs) and leveraging advanced analytical tools will enable adaptation and refinement of practices within the anesthesia community. Collaborative efforts among clinicians, policy makers, and stakeholders are crucial for reducing the environmental impact of anesthesia and promoting ecological responsibility within healthcare.
A Study of the Multi-Objective Neighboring Only Quadratic Minimum Spanning Tree Problem in the Context of Uncertainty
Authors: Pal Debosree , Sharma Haresh Kumar , Prentkovskis Olegas , Chakraborty Falguni , Maskeliūnaitė Lijana
Published: October 2024

The pursuit of studying the quadratic minimum spanning tree (QMST) problem has captivated numerous academics because of its distinctive characteristic of taking into account the cost of interaction between pairs of edges. A QMST refers to the minimum spanning tree, which is a graph that is both acyclic and minimally connected. It also includes the interaction cost between a pair of edges in the minimum spanning tree. These interaction costs can occur between any pair of edges, whether they are adjacent or non-adjacent. In the QMST problem, our objective is to minimize both the cost of the edges and the cost of interactions. This eventually classifies the task as NP-hard. The interaction costs, sometimes referred to as quadratic costs, inherently exhibit a contradictory relationship with linear edge costs when solving a multi-objective problem that aims to minimize both linear and quadratic costs simultaneously. This study addresses the bi-objective adjacent only quadratic minimum spanning tree problem (AQMSTP) by incorporating the uncertain nature of the linear and quadratic costs associated with the problem. The focus is on the interaction costs between adjacent edges. Consequently, we have introduced a multi-objective problem called the uncertain adjacent only quadratic minimum spanning tree problem (mUAQMSTP) and formulated it using the uncertain chance-constrained programming technique. Afterwards, two MOEAs—non-dominated sorting genetic algorithm II (NSGAII) and duplicate elimination non-dominated sorting evolutionary algorithm (DENSEA)—and the traditional multi-objective solution approach, the global criterion method, are employed to solve the deterministic transformation of the model. Finally, we provide a suitable numerical illustration to substantiate our suggested framework.
Nanostructured Drug Delivery Systems in Immunotherapy: An Updated Overview of Nanotechnology-Based Therapeutic Innovations
Authors: Croitoru George-Alexandru , Niculescu Adelina-Gabriela , Epistatu Dragoș , Mihaiescu Dan Eduard , Antohi Alexandru Mihai , Grumezescu Alexandru Mihai , Nicolae Carmen-Larisa
Published: October 2024

Using nanostructured drug delivery systems has attracted increasing interest in immunotherapeutic approaches. The intrinsic immunomodulatory properties and versatility of nanoparticles used as carriers were consistently reported to augment treatment efficiency as nanoscaled materials increase drug accumulation at the desired site, enhance cell internalization, and improve therapeutic outcomes. Thus, numerous studies have exploited the potential use of nanostructured drug delivery vehicles in delivering different cargo as a promising alternative for treating conditions like cancer, autoimmune diseases, infectious diseases, and allergic and immune disorders. In this context, this paper presents nanostructured drug delivery systems as a solid basis for immunotherapeutic innovations, highlighting their advantages for improving treatment strategies, reviewing their clinical applications, and discussing existing challenges and ways to overcome them.
Fault Diagnosis of Induction Motors under Limited Data for Across Loading by Residual VGG-Based Siamese Network
Authors: Chang Hong-Chan , Liu Ren-Ge , Li Chen-Cheng , Kuo Cheng-Chien
Published: October 2024

This study proposes an improved few-shot learning model of the Siamese network residual Visual Geometry Group (VGG). This model combined with time–frequency domain transformation techniques effectively enhances the performance of across-load fault diagnosis for induction motors with limited data conditions. The proposed residual VGG-based Siamese network consists of two primary components: the feature extraction network, which is the residual VGG, and the merged similarity layer. First, the residual VGG architecture utilizes residual learning to boost learning efficiency and mitigate the degradation problem typically associated with deep neural networks. The employment of smaller convolutional kernels substantially reduces the number of model parameters, expedites model convergence, and curtails overfitting. Second, the merged similarity layer incorporates multiple distance metrics for similarity measurement to enhance classification performance. For cross-domain fault diagnosis in induction motors, we developed experimental models representing four common types of faults. We measured the vibration signals from both healthy and faulty models under varying loads. We then applied the proposed model to evaluate and compare its effectiveness in cross-domain fault diagnosis against conventional AI models. Experimental results indicate that when the imbalance ratio reached 20:1, the average accuracy of the proposed residual VGG-based Siamese network for fault diagnosis across different loads was 98%, closely matching the accuracy of balanced and sufficient datasets, and significantly surpassing the diagnostic performance of other models.
Innovative Photovoltaic Technologies Aiming to Design Zero-Energy Buildings in Different Climate Conditions
Authors: Mitsopoulos Georgios , Kapsalis Vasileios , Tolis Athanasios , Karamanis Dimitrios
Published: October 2024

The development of zero-energy buildings (ZEBs) is a critical pillar for designing the sustainable cities of the future. Photovoltaics (PVs) play a significant role in the design of ZEBs, especially in cases with fully electrified buildings. The goal of this analysis was to investigate different advanced PVs with integrated cell cooling techniques that can be incorporated into buildings aiming to transform them into ZEBs. Specifically, the examined cooling techniques were radiative PV cells, externally finned PVs and the combination of PVs with phase-change materials. These ideas were compared with the conventional PV design for the climate conditions of Athens, Barcelona, Munich and Stockholm. At every location, two different building typologies, B1 (a five-story building) and B2 (a two-story building), were investigated and the goal was to design zero-energy buildings. In the cases that the roof PVs could not cover the total yearly electrical load, building-integrated photovoltaics (BIPVs) were also added in the south part of every building. It was found that in all the cases, it is possible to design ZEB with the use of roof PVs, except for the cases of B1 buildings in Munich and Stockholm, there is also a need to exploit BIPVs. Moreover, a significant electricity surplus was reported, especially at the warmest locations (Athens and Barcelona). Among the examined cooling techniques, the application of the fins in the back side of the PVs was determined to be the most effective technique, with radiative cooling to follow with a slightly lower performance enhancement. The application of PCM was found to be beneficial only in hot climate conditions.
New Insights into Laryngeal Articulation and Breathing Control of Trumpeters: Biomedical Signals and Auditory Perception
Authors: Jesus Luis M. T.
Published: October 2024

The activation of the musculature of the larynx of six professional trumpeters during performance was analysed using audio, electroglottography (EGG), oxygen saturation, and heart rate signals. Two university trumpet teachers listened to the audio recordings, to evaluate the participants’ laryngeal effort during performance. Statistical analysis was performed to explore if there were any correlations between parameters extracted from the EGG data and the responses to the audio stimuli by the listeners. Two hundred and fifty (250) laryngeal articulations were identified where laryngeal raising and effort was observed during trumpet performance. It was not possible to find any correlation between the EGG data and the auditory evaluation results, but both listeners could clearly hear the laryngeal effort.
A Modified Fractional Newton’s Solver
Authors: Chang Chih-Wen , Qureshi Sania , Argyros Ioannis K. , Saraz Khair Muhammad , Hincal Evren
Published: October 2024

Fractional calculus extends the conventional concepts of derivatives and integrals to non-integer orders, providing a robust mathematical framework for modeling complex systems characterized by memory and hereditary properties. This study enhances the convergence rate of the Caputo-based Newton’s solver for solving one-dimensional nonlinear equations. By modifying the order to 1+η, we provide a thorough analysis of the convergence order and present numerical simulations that demonstrate the improved efficiency of the proposed modified fractional Newton’s solver. The numerical simulations indicate significant advancements over traditional and existing fractional Newton-type approaches.
Comparison of a Novel Modality of Erbium-Doped Yttrium Aluminum Garnet Laser-Activated Irrigation and Ultrasonic Irrigation against Mature Enterococcus faecalis Biofilm—An In Vitro Study
Authors: Petričević Gabrijela Kapetanović , Perčinić Antonio , Budimir Ana , Sesar Anja , Anić Ivica , Bago Ivona
Published: October 2024

In this in vitro study, we aimed to evaluate and compare the antibacterial efficacy of a novel erbium-doped yttrium aluminum garnet laser modality, shock wave enhanced emission of photoacoustic streaming (SWEEPS), ultrasonically activated irrigation (UAI), and single needle irrigation (SNI) against old bacterial biofilm. A two-week-old Enterococcus faecalis biofilm was cultivated on transversal dentinal discs made from the middle third of the roots of single-rooted, single-canal premolars. Biofilm growth was confirmed using scanning electron microscopy (SEM) and confocal laser scanning microscopy (CLSM). The dentine samples were randomly distributed into three experimental groups and one control group based on the irrigation protocol used: Group 1, SWEEPS; Group 2, UAI; and Group 3, SNI. The root canals were irrigated with a 3% sodium hypochlorite solution. Antibacterial efficacy was evaluated quantitatively through bacterial culture and qualitatively through CLSM and SEM. Both SWEEPS and UAI demonstrated a statistically significant reduction in Enterococcus faecalis colony-forming units (CFUs) (p < 0.001), while SNI did not show a statistically significant reduction (p = 0.553). No significant difference was observed between the efficacy of SWEEPS and UAI (p > 0.05). The SWEEPS and UAI techniques were equally effective in eliminating mature E. faecalis biofilm.
Cellular Profile of Subfornical Organ Insulin Receptors in Mice
Authors: Kim Han-Rae , Jeong Jin-Kwon , Young Colin N.
Published: October 2024

Brain insulin receptor signaling is strongly implicated in cardiovascular and metabolic physiological regulation. In particular, we recently demonstrated that insulin receptors within the subfornical organ (SFO) play a tonic role in cardiovascular and metabolic regulation in mice. The SFO is a forebrain sensory circumventricular organ that regulates cardiometabolic homeostasis due to its direct exposure to the circulation and thus its ability to sense circulating factors, such as insulin. Previous work has demonstrated broad distribution of insulin receptor-expressing cells throughout the entire SFO, indirectly indicating insulin receptor expression in multiple cell types. Based on this, we sought to determine the cellular phenotypes that express insulin receptors within the SFO by combining immunohistochemistry with genetically modified reporter mouse models. Interestingly, SFO neurons, including both excitatory and inhibitory types, were the dominant cell site for insulin receptor expression, although a weak degree of insulin receptor expression was also detected in astrocytes. Moreover, SFO angiotensin type 1a receptor neurons also expressed insulin receptors. Collectively, these anatomical findings indicate the existence of potentially complex cellular networks within the SFO through which insulin signaling can influence physiology and further point to the SFO as a possible brain site for crosstalk between angiotensin-II and insulin.
CDKN2A Homozygous Deletion Is a Stronger Predictor of Outcome than IDH1/2-Mutation in CNS WHO Grade 4 Gliomas
Authors: Lee Sang Hyuk , Kim Tae Gyu , Ryu Kyeong Hwa , Kim Seok Hyun , Kim Young Zoon
Published: October 2024

Background: We primarily investigated the prognostic role of CDKN2A homozygous deletion in CNS WHO grade 4 gliomas. Additionally, we plan to examine traditional prognostic factors for grade 4 gliomas and validate the findings. Materials: We conducted a retrospective analysis of the glioma cohorts at our institute. We reviewed medical records spanning a 15-year period and examined pathological slides for an updated diagnosis according to the 2021 WHO classification of CNS tumors. We examined the IDH1/2 mutation and CDKN2A deletion using NGS analysis with ONCOaccuPanel®. Further, we examined traditional prognostic factors, including age, WHO performance status, extent of resection, and MGMT promoter methylation status. Results: The mean follow-up duration was 27.5 months (range: 4.1–43.5 months) and mean overall survival (OS) was 20.7 months (SD, ±1.759). After the exclusion of six patients with a poor status of pathologic samples, a total of 136 glioblastoma cases diagnosed by previous WHO classification criteria were newly classified into 29 (21.3%) astrocytoma, IDH-mutant, and CNS WHO grade 4 cases, and 107 (78.7%) glioblastoma, IDH-wildtype, and CNS WHO grade 4 cases. Among them, 61 (56.0%) had CDKN2A deletions. The high-risk group with CDKN2A deletion regardless of IDH1/2 mutation had a mean OS of 16.65 months (SD, ±1.554), the intermediate-risk group without CDKN2A deletion and with IDH1/2 mutation had a mean OS of 21.85 months (SD, ±2.082), and the low-risk group without CDKN2A deletion and with IDH1/2 mutation had a mean OS of 33.38 months (SD, ±2.946). Multifactor analysis showed that age (≥50 years vs. <50 years; HR 4.645), WHO performance (0, 1 vs. 2; HR 5.002), extent of resection (gross total resection vs. others; HR 5.528), MGMT promoter methylation, (methylated vs. unmethylated; HR 5.078), IDH1/2 mutation (mutant vs. wildtype; HR 6.352), and CDKN2A deletion (absence vs. presence; HR 13.454) were associated with OS independently. Conclusions: The present study suggests that CDKN2A deletion plays a powerful prognostic role in CNS WHO grade 4 gliomas. Even if CNS WHO grade 4 gliomas have mutant IDH1/2, they may have poor clinical outcomes because of CDKN2A deletion.
Current Perspectives on Olfactory Loss in Atypical Parkinsonisms—A Review Article
Authors: Bochniak Katarzyna , Soszyński Mateusz , Madetko-Alster Natalia , Alster Piotr
Published: October 2024

Introduction: Atypical parkinsonisms (APs) present various symptoms including motor impairment, cognitive decline, and autonomic dysfunction. Olfactory loss (OL), being a significant non-motor symptom, has emerged as an under-evaluated, yet potentially valuable, feature that might aid in the differential diagnosis of APs. State of the art: The most pronounced OL is usually associated with Dementia with Lewy Bodies (DLB). While the view about the normosmic course of Multiple System Atrophy (MSA) remains unchanged, research indicates that mild OL may occur in a subset of patients with Progressive Supranuclear Palsy (PSP) and Corticobasal Degeneration (CBD). This might be linked to the deposition of abnormal protein aggregates in the central nervous system. Clinical significance: The aim of this review is to discuss the role of OL and its degree and pattern in the pathogenesis and course of APs. Olfactory testing could serve as a non-invasive, quick screening tool to differentiate between APs and project disease progression. Future directions: There is a need for further evaluation of this topic. This may lead to the development of standardized olfactory testing protocols that could be implemented in clinical practice, making differential diagnosis of APs more convenient. Understanding differences in the sense of smell could create an avenue for more targeted therapeutic strategies.
An Updated Comprehensive Review on Diseases Associated with Nephrotic Syndromes
Authors: Wendt Ralph , Sobhani Alina , Diefenhardt Paul , Trappe Moritz , Völker Linus Alexander
Published: October 2024

There have been exciting advances in our knowledge of primary glomerular diseases and nephrotic syndromes in recent years. Beyond the histological pattern from renal biopsy, more precise phenotyping of the diseases and the use of modern nephrogenetics helps to improve treatment decisions and sometimes also avoid unnecessary exposure to potentially toxic immunosuppression. New biomarkers have led to easier and more accurate diagnoses and more targeted therapeutic decisions. The treatment landscape is becoming wider with a pipeline of promising new therapeutic agents with more sophisticated approaches. This review focuses on all aspects of entities that are associated with nephrotic syndromes with updated information on recent advances in each field. This includes podocytopathies (focal segmental glomerulosclerosis and minimal-change disease), membranous nephropathy, membranoproliferative glomerulonephritis, IgA nephropathy, fibrillary glomerulonephritis, amyloidosis, and monoclonal gammopathy of renal significance in the context of the nephrotic syndrome, but also renal involvement in systemic diseases, diabetic nephropathy, and drugs that are associated with nephrotic syndromes.
Pigment Epithelial-Derived Factor in Pancreatic and Liver Cancers—From Inflammation to Cancer
Authors: Pączek Sara , Zajkowska Monika , Mroczko Barbara
Published: October 2024

Gastrointestinal (GI) cancers are among the leading causes of mortality worldwide. Despite the emergence of new possibilities that offer hope regarding the successful treatment of these cancers, they still represent a significant global health burden. These cancers can arise from various cell types within the gastrointestinal tract and may exhibit different characteristics, behaviors, and treatment approaches. Both the prognosis and the outcomes of GI treatment remain problematic because these tumors are primarily diagnosed in advanced clinical stages. Current biomarkers exhibit limited sensitivity and specificity. Therefore, when developing strategies for the diagnosis and treatment of GI cancers, it is of fundamental importance to discover new biomarkers capable of addressing the challenges of early-stage diagnosis and the presence of lymph node metastases. Pigment epithelial-derived factor (PEDF) has garnered interest due to its inhibitory effects on the migration and proliferation of cancer cells. This protein has been suggested to be involved in various inflammation-related diseases, including cancer, through various mechanisms. It was also observed that reducing the level of PEDF is sufficient to trigger an inflammatory response. This suggests that PEDF is an endogenous anti-inflammatory factor. Overall, PEDF is a versatile protein with diverse biological functions that span across different tissues and organ systems. Its multifaceted activities make it an intriguing target for therapeutic interventions in various diseases, including cancer, neurodegeneration, and metabolic disorders. This review, for the first time, summarizes the role of PEDF in the pathogenesis of selected GI cancers and its potential utility in early diagnosis, prognosis, and therapeutic strategies for this malignancy.
The Association between the Firmicutes/Bacteroidetes Ratio and Body Mass among European Population with the Highest Proportion of Adults with Obesity: An Observational Follow-Up Study from Croatia
Authors: Karačić Andrija , Renko Ira , Krznarić Željko , Klobučar Sanja , Liberati Pršo Ana-Marija
Published: October 2024

Background/Objectives: The phyla Firmicutes and Bacteroidetes are the main constituents of the gut microbiota. An imbalance in the gut microbiota is a sign of dysbiosis, and the Firmicutes-to-Bacteroidetes ratio has been proposed to be a marker of it, especially in the context of obesity. Since Croatia is the country with one of the highest obesity rates in Europe, a pilot observational study was conducted. The aim of the study was to investigate the validity of this potential biomarker in a methodological study using sample processing, DNA sequence analysis and characterization of recruited participants, including various health factors. Methods: A study involving Croatian population was conducted. Participants age, body weight, gender, health history and lifestyle factors were recorded. Gut microbiota composition was analyzed using 16S rRNA sequencing. The F/B ratio was calculated and evaluated in the context of health factors. Statistical analysis was performed to detect the possible association of F/B ratio and excess body weight (kg) and possible impact of certain lifestyle factors. Results: No association between the F/B ratio and excess body weight (kg) was found. Excess body weight was significantly associated with higher age, male gender, and history of appendectomy. No significant health predictors of the F/B ratio were found, but weight gain was positively associated with a higher average F/B ratio. Conclusions: Although this study could not confirm the predictive value of the F/B ratio or any other phyla-related biomarker for excess body weight in the study population, it demonstrated interesting insights into the obesity-associated gut microbiota.
Willingness to Pay and Its Influencing Factors for Aging-Appropriate Retrofitting of Rural Dwellings: A Case Study of 20 Villages in Wuhu, Anhui Province
Authors: Yang Chang , Li Hongyang , Yang Su , Lai Xuanying
Published: October 2024

Every country in the world, except for African nations, faces significant challenges due to the increasing older population, with China being particularly affected. This issue is more pronounced in rural areas compared to urban centers. To better understand consumer attitudes and willingness to pay (WTP) for age-friendly retrofitting and to identify industry development shortcomings, this study designed a retrofitting scenario and organized a questionnaire survey to collect WTP and its influencing factors from respondents in the Wuhu area of Anhui Province, China. This study determined the retrofit cost to be CNY 12,224.4 and found that over 80% of respondents intended to pursue age-friendly retrofitting. The analysis results indicated that respondents’ education level, perceived psychological benefits, and perceived social benefits were positively correlated with their WTP. Additionally, education level, monthly personal income, and choice of retirement area positively influenced retrofitting budgets, whereas age bracket, employment status, and perceived situational risk negatively influenced them. The study’s findings will assist consumers in making informed retrofitting decisions and support the government in formulating appropriate policies to enhance the quality of rural residential environments and improve the living standards of the elderly.
Novel Ceramic Clay Automatic Feeding System and Simulation Analysis
Authors: Liu Xunchen , Wang Yilun , Mu Bo , Wu Hailin , Wang Lanxin , Chen Mingzhang , Guan Shanyue
Published: October 2024

This study aims to verify the feasibility and effectiveness of an automatic feeding system in the ceramic clay-forming process. Through a series of clay-forming experiments, the system’s performance under various process parameters was examined. Precision sensors and data recording devices were used to monitor and record key data during the experimental process in real-time. The results demonstrate that the automatic feeding system can supply clay steadily and continuously under set parameters, ensuring a smooth forming process and significantly improving efficiency. Quantitatively, the system achieved a 30% increase in Vickers hardness, reflecting enhanced mechanical properties of the formed clay bodies. Additionally, there was a notable improvement in axial stress–strain characteristics, indicating better structural integrity and consistency. These improvements reduced human errors and material waste, enhancing production efficiency and product quality. Future research will focus on further optimizing system design and exploring its applications in a broader range of ceramic manufacturing processes.