bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploration of Gene Therapy for Alport Syndrome
Authors: Zhao Yafei , Zheng Qimin , Xie Jingyuan
Published: May 2024

Alport syndrome is a hereditary disease caused by mutations in the genes encoding the alpha 3, alpha 4, and alpha 5 chains of type IV collagen. It is characterized by hematuria, proteinuria, progressive renal dysfunction, hearing loss, and ocular abnormalities. The main network of type IV collagen in the glomerular basement membrane is composed of α3α4α5 heterotrimer. Mutations in these genes can lead to the replacement of this network by an immature network composed of the α1α1α2 heterotrimer. Unfortunately, this immature network is unable to provide normal physical support, resulting in hematuria, proteinuria, and progressive renal dysfunction. Current treatment options for Alport syndrome include angiotensin-converting enzyme inhibitors and angiotensin receptor blockers, which aim to alleviate glomerular filtration pressure, reduce renal injury, and delay the progression of renal dysfunction. However, the effectiveness of these treatments is limited, highlighting the need for novel therapeutic strategies and medications to improve patient outcomes. Gene therapy, which involves the use of genetic material to prevent or treat diseases, holds promise for the treatment of Alport syndrome. This approach may involve the insertion or deletion of whole genes or gene fragments to restore or disrupt gene function or the editing of endogenous genes to correct genetic mutations and restore functional protein synthesis. Recombinant adeno-associated virus (rAAV) vectors have shown significant progress in kidney gene therapy, with several gene therapy drugs based on these vectors reaching clinical application. Despite the challenges posed by the structural characteristics of the kidney, the development of kidney gene therapy using rAAV vectors is making continuous progress. This article provides a review of the current achievements in gene therapy for Alport syndrome and discusses future research directions in this field.
Short-Term Reproduction of Active Movement with Visual Feedback and Passive Movement with a Therapist’s Hands
Authors: Oda Hitoshi , Fukuda Shiho , Tsujinaka Ryo , Gao Han , Hiraoka Koichi
Published: May 2024

Reproducing instructed movements is crucial for practice in motor learning. In this study, we compared the short-term reproduction of active pelvis movements with visual feedback and passive movement with the therapist’s hands in an upright stance. Sixteen healthy males (M age = 34.1; SD = 10.2 years) participated in this study. In one condition, healthy males maintained an upright stance while a physical therapist moved the participant’s pelvis (passive movement instruction), and in a second condition, the participant actively moved their pelvis with visual feedback of the target and the online trajectory of the center of pressure (active movement instruction). Reproduction errors (displacement of the center of pressure in the medial–lateral axis) 10 s after the passive movement instruction were significantly greater than after the active movement instruction (p < 0.001), but this difference disappeared 30 s after the instruction (p = 0.118). Error of movement reproduction in the anterior–posterior axis after the passive movement instruction was significantly greater than after the active movement instruction, no matter how long the retention interval was between the instruction and reproduction phases (p = 0.025). Taken together, active pelvis movements with visual feedback, rather than passive movement with the therapist’s hand, is better to be used for instructing pelvis movements.
Evaluating the Performance of a Combined Vertical Wall–Horizontal Roof Solar Chimney for the Natural Ventilation of Buildings
Authors: Nguyen Y Quoc , Huynh Trieu Nhat
Published: May 2024

The natural ventilation of buildings can be achieved effectively with solar chimneys, which are classified into wall, roof, and combined wall–roof configurations. Among the combined systems investigated in the literature, vertical wall–horizontal roof solar chimneys have not been evaluated thoroughly. This study investigates the performance of a combined vertical wall–horizontal roof solar chimney numerically. A two-dimensional Computational Fluid Dynamics (CFD) model is employed to examine the flow and thermal characteristics under various influencing factors relating to the chimney’s geometry, the flow resistance caused by the bend connecting the vertical and horizontal portions, the reverse flow at the outlet, and the location of the heat source. Compared to a vertical wall chimney at the same cavity height, the combined system always had a lower flow rate but had a higher thermal efficiency at some length-to-total-height ratios. Heating the upper walls induced higher flow rates but lower thermal efficiency. Particularly, the effect of the bend on the flow rate was more important than that of the reverse flow at the outlet. These results imply that a combined chimney is preferred over a vertical one for heating applications, wherein the combined chimney should have transparent upper walls.
Non-Coding RNAs in HIV Infection, NeuroHIV, and Related Comorbidities
Authors: Singh Seema , Deshetty Uma Maheswari , Ray Sudipta , Oladapo Abiola , Horanieh Elias , Buch Shilpa , Periyasamy Palsamy
Published: May 2024

NeuroHIV affects approximately 30–60% of people living with HIV-1 (PLWH) and is characterized by varying degrees of cognitive impairments, presenting a multifaceted challenge, the underlying cause of which is chronic, low-level neuroinflammation. Such smoldering neuroinflammation is likely an outcome of lifelong reliance on antiretrovirals coupled with residual virus replication in the brains of PLWH. Despite advancements in antiretroviral therapeutics, our understanding of the molecular mechanism(s) driving inflammatory processes in the brain remains limited. Recent times have seen the emergence of non-coding RNAs (ncRNAs) as critical regulators of gene expression, underlying the neuroinflammatory processes in HIV infection, NeuroHIV, and their associated comorbidities. This review explores the role of various classes of ncRNAs and their regulatory functions implicated in HIV infection, neuropathogenesis, and related conditions. The dysregulated expression of ncRNAs is known to exacerbate the neuroinflammatory responses, thus contributing to neurocognitive impairments in PLWH. This review also discusses the diagnostic and therapeutic potential of ncRNAs in HIV infection and its comorbidities, suggesting their utility as non-invasive biomarkers and targets for modulating neuroinflammatory pathways. Understanding these regulatory roles could pave the way for novel diagnostic strategies and therapeutic interventions in the context of HIV and its comorbidities.
Lead-Free NaNbO3-Based Ceramics for Electrostatic Energy Storage Capacitors
Authors: Soheli Sairatun Nesa , Lu Zhilun , Sun Dongyang , Shyha Islam
Published: May 2024

The burgeoning significance of antiferroelectric (AFE) materials, particularly as viable candidates for electrostatic energy storage capacitors in power electronics, has sparked substantial interest. Among these, lead-free sodium niobate (NaNbO3) AFE materials are emerging as eco-friendly and promising alternatives to lead-based materials, which pose risks to human health and the environment, attributed to their superior recoverable energy density and dielectric breakdown strength. This review offers an insightful overview of the fundamental principles underlying antiferroelectricity and the applications of AFE materials. It underscores the recent advancements in lead-free NaNbO3-based materials, focusing on their crystal structures, phase transitions, and innovative strategies devised to tailor their electrostatic energy storage performance. Finally, this review delineates the prevailing challenges and envisages future directions in the realm of NaNbO3-based electrostatic energy storage capacitors, with the goal of fostering further advancements in this pivotal field.
Experimental Investigation of Liquid Holdup in a Co-Current Gas–Liquid Upflow Moving Packed Bed Reactor with Porous Catalyst Using Gamma-Ray Densitometry
Authors: Toukan Ali , Jasim Ahmed , Alexander Vineet , AlBazzaz Hamza , Al-Dahhan Muthanna
Published: May 2024

This study explores the dynamics of liquid holdup in a lab-scale co-current two-phase upflow moving packed bed reactor, specifically examining how superficial gas velocity influences the line average external liquid holdup at a fixed superficial liquid velocity. Utilizing gamma-ray densitometry (GRD) for precise measurements, this research extends to determining line average internal porosity within catalyst particles. Conducted with an air–water system within a bed packed with 3 mm porous particles, the study presents a novel methodology using Beer–Lambert’s law to calculate liquid, gas, and solid holdups and catalyst porosity that is equivalent to the internal liquid holdup that fills the catalyst pores. Findings reveal a decrease in liquid holdup corresponding with increased superficial gas velocity across axial and radial locations, with a notable transition from bubbly to pulse flow regime at a critical velocity of 3.8 cm/sec. Additionally, the lower sections of the packed bed exhibited higher external liquid holdup compared to the middle sections at varied gas velocities. The liquid holdup distribution appeared uniform at lower flow rates, whereas higher flow rates favored the middle sections.
Recent Advances in Applied Electrochemistry: A Review
Authors: Yammine Paolo , El-Nakat Hanna , Kassab Rima , Mansour Agapy , El Khoury Bilal , Koumeir Diala , Matar Zeinab , Chmayssem Ayman
Published: May 2024

Applied electrochemistry (AE) plays today an important role in a wide range of fields, including energy conversion and storage, processes, environment, (bio)analytical chemistry, and many others. Electrochemical synthesis is now proven as a promising pathway to avoid all disadvantages in terms of high energy consumption and high pollution, while electrochemical modeling becomes a powerful tool to understand complex systems and predict and optimize the electrochemical devices under various conditions, which reduce study time and cost. The vital role of electrochemistry will greatly be considered in the upcoming years, aiming to reduce carbon footprints and supporting the transition towards a green and more sustainable energy framework. This review article summarizes the recent advances in applied electrochemistry. It shows how this field has become an indispensable tool for innovation, progress, problem-solving in the modern world, and addressing societal challenges across diverse fields.
Developmental Dyscalculia in Relation to Individual Differences in Mathematical Abilities
Authors: Dowker Ann
Published: May 2024

There is still much debate about the exact nature and frequency of developmental dyscalculia, and about how it should be defined. This article examines several key questions in turn: Is developmental dyscalculia a distinct disorder, or should it be seen as the lower end of a continuum—or possibly more than one continuum—of numerical ability? Do individuals with developmental dyscalculia show atypical brain structure or function? Does the study of acquired dyscalculia have anything to teach us about developmental dyscalculia? In studying dyscalculia, should we look less at arithmetical ability as a single entity, and more at separable components of arithmetical ability? How heterogeneous is developmental dyscalculia, and how important is it to study individual profiles? To what extent is developmental dyscalculia influenced by domain-specific versus domain-general abilities? The conclusion is that, though a significant amount has been discovered through existing research, and though this has some important implications for screening and diagnosis of dyscalculia, there is much more research that still needs to be conducted if we are to answer all of these questions fully. In particular, the study of developmental dyscalculia must be more integrated with the study of individual differences in mathematics in the population as a whole.
The Impact of Poverty on Children’s Well-Being and Health Behavior Based on the Results of Research Conducted in One of Hungary’s Most Disadvantaged Micro-Regions
Authors: Fábián Gergely , Szoboszlai Katalin , Tóth Anikó Panna , Fedor Anita R.
Published: May 2024

This empirical research on children’s poverty and the accompanying risk behavior was conducted in the Baktalórántháza micro-region, in one of the most disadvantaged micro-regions of Hungary. The study, completed in 2023, was conducted utilizing three methods, a questionnaire for families, interviews, and focus group interviews with social professionals working in the settlements. The region is one of the ten micro-regions with the highest poverty rate in the country. The majority of the population only has an elementary education, and the proportion of graduates is much lower than the national average. The proportion of households with three or more children is higher than the national average and the proportion of unemployed people in households with children is twice as high as the national average. Based on the experience of social workers working in the area, in addition to smoking and drinking alcohol, the consumption of psychoactive and psychotropic substances has increased among adolescents and young adults. Based on various indicators, children regularly consume illegal drugs. The origin and composition of these drugs are typically unknown. According to the reports by drug users, everyday life is easier, and they can escape from problems when under the influence of drugs. Based on the observations of experts, the consumption of various psychoactive substances has harmful effects on behavior, health, learning, and family life. School performance and the ability to think and learn decrease. Drug users are dissatisfied with their lives, have problems with social relationships, engage in partner violence, and may develop antisocial behavior in their lives.
Complete Transposition of the Great Arteries in the Pediatric Field: A Multimodality Imaging Approach
Authors: Moscatelli Sara , Avesani Martina , Borrelli Nunzia , Sabatino Jolanda , Pergola Valeria , Leo Isabella , Montanaro Claudia , Contini Francesca , Gaudieri Gabriella , Ielapi Jessica , Motta Raffaella , Perrone Marco , Di Salvo Giovanni
Published: May 2024

The complete transposition of the great arteries (C-TGA) is a congenital cardiac anomaly characterized by the reversal of the main arteries. Early detection and precise management are crucial for optimal outcomes. This review emphasizes the integral role of multimodal imaging, including fetal echocardiography, transthoracic echocardiography (TTE), cardiovascular magnetic resonance (CMR), and cardiac computed tomography (CCT) in the diagnosis, treatment planning, and long-term follow-up of C-TGA. Fetal echocardiography plays a pivotal role in prenatal detection, enabling early intervention strategies. Despite technological advances, the detection rate varies, highlighting the need for improved screening protocols. TTE remains the cornerstone for initial diagnosis, surgical preparation, and postoperative evaluation, providing essential information on cardiac anatomy, ventricular function, and the presence of associated defects. CMR and CCT offer additional value in C-TGA assessment. CMR, free from ionizing radiation, provides detailed anatomical and functional insights from fetal life into adulthood, becoming increasingly important in evaluating complex cardiac structures and post-surgical outcomes. CCT, with its high-resolution imaging, is indispensable in delineating coronary anatomy and vascular structures, particularly when CMR is contraindicated or inconclusive. This review advocates for a comprehensive imaging approach, integrating TTE, CMR, and CCT to enhance diagnostic accuracy, guide therapeutic interventions, and monitor postoperative conditions in C-TGA patients. Such a multimodal strategy is vital for advancing patient care and improving long-term prognoses in this complex congenital heart disease.
Multi-Modular Network-Based Retinex Fusion Approach for Low-Light Image Enhancement
Authors: Wang Jiarui , Sun Yu , Yang Jie
Published: May 2024

Current low-light image enhancement techniques prioritize increasing image luminance but fail to address issues including loss of intricate distortion of colors and image details. In order to address these issues that has been overlooked by all parties, this paper suggests a multi-module optimization network for enhancing low-light images by integrating deep learning with Retinex theory. First, we create a decomposition network to separate the lighting components and reflections from the low-light image. We incorporated an enhanced global spatial attention (GSA) module into the decomposition network to boost its flexibility and adaptability. This module enhances the extraction of comprehensive information from the image and safeguards against information loss. To increase the illumination component’s luminosity, we subsequently constructed an enhancement network. The Multiscale Guidance Block (MSGB) has been integrated into the improvement network, together with multilayer extended convolution to expand the sensing field and enhance the network’s capability for feature extraction. Our proposed method out-performs existing ways in both objective measures and personal evaluations, emphasizing the virtues of the procedure outlined in this paper.
Simulation Analysis of a Methanol Fueled Marine Engine for the Ship Decarbonization Assessment
Authors: Altosole Marco , Balsamo Flavio , Campora Ugo , Fasano Ernesto , Scamardella Filippo
Published: May 2024

Methanol as marine fuel represents one of the most cost-effective and practical solutions towards low-carbon shipping. Methanol fueled internal combustion engines have a high level of technological readiness and are already available on the market; however, technical data in terms of fuel consumption and emissions are not yet easily accessible. For this reason, the present study deals with the simulation of a virtual spark-ignition methanol engine, carried out in a Matlab-Simulink© R2023a environment to assess the CO2 emissions in several working conditions of a possible ship power system. The thermodynamic model of the methanol fueled engine is derived from a marine gas engine simulator, already validated by the authors in a previous work. This article presents the relevant modifications necessary to adapt the engine to the methanol fuel mode with regard to the different fuel characteristics. The simulation analysis compares the results of the virtual methanol engine with available data from a similar, existing gas engine, highlighting the differences in efficiency and carbon dioxide emissions.
Experimental Study of the Behaviour of Ring Main Unit-Type Panels in the Event of Internal Arcing in Different Compartments
Authors: Sălceanu Cristian-Eugeniu , Enache Sorin , Dobrea Cătălin , Iovan Daniela , Ocoleanu Daniel , Nicola Marcel , Șeitan Ștefan , Ionescu Mihai
Published: May 2024

If an R.M.U. (Ring Main Unit) cubicle is installed, operated and maintained in accordance with current standards and the manufacturer’s instructions, the likelihood of internal arcing is reduced, but should not be completely ignored. This article outlines the experimental situations in which arcing can occur and the catastrophic effects seen if R.M.U. is not properly designed for this type of damage. This type of failure can be caused by a fault, abnormal operating conditions or a malfunction and represents a danger during its installation and to persons present. The situations in which this type of failure can occur are presented and experimentally analysed: bi-phase internal arcing in the connections compartment, three-phase internal arcing in the switching compartment, internal arcing in the fuse compartment and single-phase arcing between a phase and the switchgear enclosure.
Numerical Study on Effect of Flow Field Configuration on Air-Breathing Proton Exchange Membrane Fuel Stacks
Authors: Liu Zhi , Sun Tingting , Bai Fuqiang
Published: May 2024

Air-breathing proton exchange membrane fuel cells (PEMFCs) show enormous potential in small and portable applications because of their brief construction time without the need for gas supply, humidification and cooling devices. In the current work, a 3D multiphase model of single air-breathing PEMFCs is developed by considering the contact resistance between the gas diffusion layer and bipolar plate and the anisotropic thermal conduction and electric conductive in the through-plane and in-plane directions. The 3D model presents good grid independence and agreement with the experimental polarization curve. The single PEMFC with the best open area ratio of 55% achieves the maximum peak power density of 179.3 mW cm−2. For the fuel cell stack with 10 single fuel cells, the application of the anode window flow field is beneficial to improve the stack peak power density compared to the anode serpentine flow field. The developed model is capable of providing assistance in designing high-performance air-breathing PEMFC stacks.
A Big Data-Driven Approach for Early Warning of Enterprise Emissions Alignment with Carbon Neutrality Targets: A Case Study of Guangxi Province
Authors: Zhou Chunli , Tang Huizhen , Zhang Wenfeng , Qiao Jiayi , Luo Qideng
Published: May 2024

Achieving the target of carbon neutrality has been an important approach for China to mitigate global climate change. Enterprises are major carbon emitters, and a well-designed early warning system is needed to ensure that their emissions align with carbon neutrality goals. Therefore, this study utilized electricity big data to construct an early warning model for enterprise carbon emissions based on carbon quota allocation. Taking key carbon-emitting enterprises in Guangxi as a case study, we aim to provide insights to support China’s dual carbon goals. Firstly, we established the Carbon Quota Allocation System, enabling carbon quota allocation at the enterprise levels. Secondly, we developed the Enterprise Carbon Neutrality Index, facilitating dynamic warnings for carbon emissions among enterprises. The main conclusions are as follows: (1) In 2020, Guangdong received the highest carbon quota of 606 million tons, representing 5.72% of the national total, while Guangxi only received 2.63 billion tons. (2) Only 39.34% of enterprises in Guangxi are able to meet the carbon neutrality target, indicating significant emission reduction pressure faced by enterprises in the region. (3) Over 90% of enterprises in Guangxi receive Commendation and Encouragement warning levels, suggesting that enterprises in Guangxi are demonstrating a promising trend in emission reduction efforts.
Model Predictive Control of a Modular Multilevel Converter with Reduced Computational Burden
Authors: Kadhum Hussein , Watson Alan J. , Rivera Marco , Zanchetta Pericle , Wheeler Patrick
Published: May 2024

Recent advances in high-power applications employing voltage source converters have been primarily fuelled by the emergence of the modular multilevel converter (MMC) and its derivatives. Model predictive control (MPC) has emerged as an effective way of controlling these converters because of its high response. However, the practical implementation of MPC encounters hurdles, particularly in MMCs featuring many sub-modules per arm. This research introduces an approach termed folding model predictive control (FMPC), coupled with a pre-processing sorting algorithm, tailored for modular multilevel converters. The objective is to alleviate a significant part of the computational burden associated with the control of these converters. The FMPC framework combines multiple control objectives, encompassing AC current, DC current, circulating current, arm energy, and leg energy, within a unified cost function. Both simulation studies and real-time hardware-in-the-loop (HIL) testing are conducted to verify the efficacy of the proposed FMPC. The findings underscore the FMPC’s ability to deliver fast response and robust performance under both steady-state and dynamic operating conditions. Moreover, the FMPC adeptly mitigates circulating currents, reduces total harmonic distortion (THD%), and upholds capacitor voltage stability within acceptable thresholds, even in the presence of harmonic distortions in the AC grid. The practical applicability of MMCs, notwithstanding the presence of a large number of sub-modules (SMs) per arm, is facilitated by the significant reduction in switching states and computational overhead achieved through the FMPC approach.
Experimental and DFT Studies of Influence of Flue Gas Components on the Interaction between CaO and As during Sludge Combustion
Authors: Shi Yilin , Zhang Huan , Yu Jingxiang , Feng Youxiang , Jin Yan
Published: May 2024

The problem of As pollution emission from sludge during combustion has received widespread attention. The impact of flue gas components on the interaction with CaO and As during sludge combustion was analyzed using a series of experimental characterization methods. The strength of the activity of As2O3 on the CaO(001) surface as well as on the CO2/SO2/H2O+CaO(001) surface with different O adsorption sites was revealed by combining with Density Functional Theory (DFT). According to the results, CO2 in the flue gas reacted with CaO in a reversible carbonation reaction, which optimized the pore structure of the solid phase products and promoted the capture of As by CaO. SO2 in the flue gas reacted with CaO in a sulfation reaction reaction to block the pores, which was not conducive to the capture of As by CaO. The presence of moisture led to poor pore structure collapse of the solid phase products as well as the formation of gehlenite, which reduced the enrichment of As by CaO. DFT calculations showed that the adsorption of As2O3 molecules on the CO2+CaO(001) surface was affected by the position of the O active site, and the adsorption energy at the OC1 top site was higher than that on the clean surface, which was favorable for the stable adsorption of As2O3 molecules. The existence of SO2 decreased As2O3 molecules’ adsorption energy on the CaO(001) surface, which was unfavorable for the adsorption of As2O3 molecules. There were two main effects of H2O molecules on the adsorption of As2O3 on the CaO(001) surface. One was the H2O molecules weakened the interaction between the As atoms and Osurf atoms, which was unfavorable to the adsorption of As2O3 molecules; the other was the existence of stronger adsorption of O atoms in H2O molecules on As atoms in As2O3 molecules, which made As2O3 molecules adsorbed at the top of OH0 adsorbed with adsorption energies much larger than that of clean surface, and the adsorption was more stable.
Innovative Integration of Triboelectric Nanogenerators into Signature Stamps for Energy Harvesting, Self-Powered Electronic Devices, and Smart Applications
Authors: Bochu Lakshakoti , Potu Supraja , Navaneeth Madathil , Khanapuram Uday Kumar , Rajaboina Rakesh Kumar , Kodali Prakash
Published: May 2024

In this manuscript, we present a novel approach for integrating Triboelectric Nanogenerators (TENGs) into signature stamps, termed Stamp TENG (S-TENG). We have modified a commercially available stamp holder to integrate triboelectric layers for multiple applications like effective energy harvesting, sensing, and embedded electronics for data prediction. S-TENG has been further explored in remote monitoring systems for elderly individuals and for gathering real-time statistics regarding persons or events at specific locations. The S-TENG is fabricated using FEP and Al as functional layers. It demonstrates an output voltage of 310 V, a current of 165 μA, and a power density of 14.8 W/m2. The simplicity of the S-TENG’s design is noteworthy. Its ability to generate energy through simple, repetitive stamping actions, which anyone can perform without specialized training, stands out as a key feature. The device is also designed for ease of use, being handheld and user-friendly. Its flexible and adaptable structure ensures that individuals with varying physical capabilities can comfortably operate it. An impressive capability of the TENG is its ability to illuminate 320 LEDs with each stamp press momentarily. Furthermore, using energy management circuits, the S-TENG can power small electronic gadgets such as digital watches and thermometers for a few seconds. In addition, when integrated with electronics, the S-TENG shows great potential in data prediction for various practical applications.
Bioactive Compounds Produced by Macromycetes for Application in the Pharmaceutical Sector: Patents and Products
Authors: Martinez-Burgos Walter José , Montes Montes Everaldo , Pozzan Roberta , Serra Josilene Lima , Torres Diego Ocán , Manzoki Maria Clara , Vieira Ricardo Luiz , dos Reis Guilherme Anacleto , Rodrigues Cristine , Karp Susan Grace , Soccol Carlos Ricardo
Published: May 2024

It is widely known that mushrooms present several properties with applications in the medicinal and pharmaceutical sectors, including antimicrobial, immunomodulatory, antioxidant, hypotensive, neuroprotective, and anti-inflammatory activities. This article aims to review examples of the bioactive metabolites responsible for those activities, such as polysaccharides, phenols and polyphenols, terpenes, peptides, alkaloids, and steroids, which are produced by several relevant mushroom species. It also discusses their production through solid-state fermentation and submerged fermentation, as well as the processes of obtention of mushroom bioactive extracts and considerations on their stability aiming industrial applications. In addition, the article examines the patent landscape surrounding mushroom-derived bioactives, shedding light on the intellectual property history and innovations driving this field forward. Examples of recently deposited patents in the field are highlighted, as well as the main depositors. China and the United States are the major depositor countries in this field (52% and 35% of patents, respectively), and the principal compounds on the patents are polysaccharides and alkaloids. The article also provides insights into the current market landscape, showcasing mushroom-derived products in the pharmaceutical field available to consumers. From dietary supplements to skincare formulations, the market offerings reflect the growing interest in harnessing the health benefits of mushroom bioactives.
Parametric Study of Flow and Combustion Characteristic in a Cavitied Scramjet with Multi-Position Injection
Authors: Xi Wenxiong , Liu Pengchao , Shao Qihan , Guo Wenjie , Liu Jian
Published: May 2024

This study focuses on the three-dimensional flow and combustion characteristics of a cavitied scramjet engine with multi-position injection. A single-equation large eddy simulation (LES) turbulence model is employed, with a detailed reaction mechanism for hydrogen combustion, as described by Jachimowski. The combustion characteristics of hydrogen in the scramjet combustion chamber are analyzed. Based on the combustion chamber model, the influence of different equivalence ratios, injection timing, injection positions, and injection pressures on the flame formation and propagation process are compared. The results indicate that within a certain range, an increase in the equivalence ratio enhances the combustion intensity and chamber pressure. In the case of multi-position injection, the order of injection from different nozzles has little effect on the final flame stabilization mode and pressure distribution. The opposite-side distribution of nozzles can effectively improve the fuel efficiency and the internal pressure. Furthermore, when the nozzles are closely placed in the opposite-side distribution, the combustion efficiency increases, although this leads to a higher total pressure loss. In scenarios where the fuel injection duration is short, an increase in the injection pressure at the upstream nozzles of the cavity results in a higher local equivalence ratio, as well as reduced fuel mixing and ignition time.
Monte Carlo Analysis for Evacuation in Multipurpose Event Spaces
Authors: Snohová Adéla , Kučera Petr , Pokorny Jiri , Bernatik Ales
Published: May 2024

This paper addresses the evacuation of people from multipurpose halls and introduces an innovative approach that uses a probabilistic model, specifically the Monte Carlo method, to analyse iterative evacuation processes. The aim is to explore how this modern technology can contribute to the development of effective and safe evacuation plans for mass events. The Monte Carlo method was applied to a specific example of a multipurpose hall that offers different configurations for events such as sports matches, concerts, or performances. The evacuation of people was analysed for two configurations: a hockey match with a capacity of 9500 people and a concert with a capacity of 11,000 people. In both cases, the total evacuation of people from the hall was analysed, and the evacuation time was evaluated when two parameters were changed: speed of movement and preference for door selection. The results of the simulations can provide valuable information for the design of effective safety measures in multipurpose halls and other similar multipurpose venues. This innovative approach to evacuation analysis allows for a comprehensive assessment of the evacuation process, identification of critical areas, and verification of the layout of the space.
Comparison of the Lipid Composition of Milk Fat Globules in Goat (Capra hircus) Milk during Different Lactations and Human Milk
Authors: Liao Guangqin , Wang Tiancai , Li Xiabing , Gu Jingyi , Jia Qi , Wang Zishuang , Li Houru , Qian Yongzhong , Qiu Jing
Published: May 2024

Goat milk is considered the optimal substitute for human milk and is characterized by variations in the lipid composition of its fat globules across lactation phases. Therefore, the objective of this study was to thoroughly analyze the differences between goat milk during different lactations and human milk, aiming to offer scientific guidance for the production of functional dairy products. Compared with transitional and mature milk, the findings indicated that the total membrane protein content in goat colostrum exhibited greater similarity to that found in human milk. Additionally, goat milk exhibited higher milk fat globule size, as well as a higher total lipid and protein content than human milk. A total of 1461 lipid molecules across 61 subclasses were identified in goat milk and human milk. The contents of glycerides and glycerophospholipids were higher in goat colostrum, whereas sphingolipids and fatty acids were more abundant in human milk. Meanwhile, the compositions of lipid subclasses were inconsistent. There were 584 differentially expressed lipids identified between human and goat milk, including 47 subclasses that were primarily involved in the metabolism of glycerophospholipids, sphingolipids, and triglycerides. In summary, for both the membrane protein and the lipid composition, there were differences between the milk of different goat lactations and human milk.
Characterization of Antioxidant Bioactive Compounds and Rheological, Color and Sensory Properties in 3D-Printed Fruit Snacks
Authors: Bebek Markovinović Anica , Bosiljkov Tomislav , Janči Tibor , Kostić Marko , Dedović Nebojša , Lučić Ela , Bavrka Katarina , Pavlić Branimir , Bursać Kovačević Danijela
Published: May 2024

The influence of wheat starch (6%, 8% and 10%, w/w) and a 3D printing program (program 1 vs. program 2) on the content of bioactive compounds, antioxidant capacity, color parameters and rheological and sensory properties was investigated in 3D strawberry and strawberry tree fruit snacks. Increasing the starch content led to a decrease in the content of almost all the bioactive compounds, while it had no effect on the antioxidant capacity. The printing program had no significant effect on the bioactive compounds (except hydroxycinnamic acids), antioxidant capacity and color parameters. A higher starch content improved the strength of the sample but had no effect on the mechanical properties. Smaller particles with a higher starch content improved the stability of the sample. In contrast to the programs, varying the starch content had a significant effect on all the color parameters except the a* values. Eight different sweeteners in two different concentrations were used for the sensory evaluation of the 3D-printed snacks. The variations in sweetener content only affected the sweet and harmonious taste. In summary, this study confirms the great potential of fruit bases for the production of 3D-printed snacks with excellent biological and rheological properties, which can be a step toward personalized food with the addition of sweeteners.
Veterinary Drug Residues in the Food Chain as an Emerging Public Health Threat: Sources, Analytical Methods, Health Impacts, and Preventive Measures
Authors: Khalifa Hazim O. , Shikoray Lamek , Mohamed Mohamed-Yousif Ibrahim , Habib Ihab , Matsumoto Tetsuya
Published: May 2024

Veterinary medications are necessary for both contemporary animal husbandry and food production, but their residues can linger in foods obtained from animals and pose a dangerous human risk. In this review, we aim to highlight the sources, occurrence, human exposure pathways, and human health effects of drug residues in food-animal products. Following the usage of veterinary medications, pharmacologically active compounds known as drug residues can be found in food, the environment, or animals. They can cause major health concerns to people, including antibiotic resistance development, the development of cancer, teratogenic effects, hypersensitivity, and disruption of normal intestinal flora. Drug residues in animal products can originate from variety of sources, including water or food contamination, extra-label drug use, and ignoring drug withdrawal periods. This review also examines how humans can be exposed to drug residues through drinking water, food, air, and dust, and discusses various analytical techniques for identifying these residues in food. Furthermore, we suggest some potential solutions to prevent or reduce drug residues in animal products and human exposure pathways, such as implementing withdrawal periods, monitoring programs, education campaigns, and new technologies that are crucial for safeguarding public health. This review underscores the urgency of addressing veterinary drug residues as a significant and emerging public health threat, calling for collaborative efforts from researchers, policymakers, and industry stakeholders to develop sustainable solutions that ensure the safety of the global food supply chain.
Carbon Dioxide Capture under Low-Pressure Low-Temperature Conditions Using Shaped Recycled Fly Ash Particles
Authors: Fakher Sherif , Khlaifat Abdelaziz , Hassanien Abdullah
Published: May 2024

Carbon-capture technologies are extremely abundant, yet they have not been applied extensively worldwide due to their high cost and technological complexities. This research studies the ability of polymerized fly ash to capture carbon dioxide (CO2) under low-pressure and low-temperature conditions via physical adsorption. The research also studies the ability to desorb CO2 due to the high demand for CO2 in different industries. The adsorption–desorption hysteresis was measured using infrared-sensor detection apparatus. The impact of the CO2 injection rate for adsorption, helium injection rate for desorption, temperature, and fly ash contact surface area on the adsorption–desorption hysteresis was investigated. The results showed that change in the CO2 injection rate had little impact on the variation in the adsorption capacity; for all CO2 rate experiments, the adsorption reached more than 90% of the total available adsorption sites. Increasing the temperature caused the polymerized fly ash to expand, thus increasing the available adsorption sites, thus increasing the overall adsorption volume. At low helium rates, desorption was extremely lengthy which resulted in a delayed hysteresis response. This is not favorable since it has a negative impact on the adsorption–desorption cyclic rate. Based on the results, the polymerized fly ash proved to have a high CO2 capture capability and thus can be applied for carbon-capture applications.
Telerehabilitation by Videoconferencing for Balance and Gait in People with Parkinson’s Disease: A Scoping Review
Authors: Silva-Batista Carla , de Almeida Filipe Oliveira , Wilhelm Jennifer L. , Horak Fay B. , Mancini Martina , King Laurie A.
Published: May 2024

Although supervised and real-time telerehabilitation by videoconferencing is now becoming common for people with Parkinson’s disease (PD), its efficacy for balance and gait is still unclear. This paper uses a scoping approach to review the current evidence on the effects of telerehabilitation by videoconferencing on balance and gait for patients with PD. We also explored whether studies have used wearable technology during telerehabilitation to assess and treat balance and gait via videoconferencing. Literature searches were conducted using PubMed, ISI’s Web of Knowledge, Cochrane’s Library, and Embase. The data were extracted for study design, treatment, and outcomes. Fourteen studies were included in this review. Of these, seven studies investigated the effects of telerehabilitation (e.g., tele-yoga and adapted physiotherapy exercises) on balance and gait measures (e.g., self-reported balance, balance scale, walking speed, mobility, and motor symptoms) using videoconferencing in both assessment and treatment. The telerehabilitation programs by videoconferencing were feasible and safe for people with PD; however, the efficacy still needs to be determined, as only four studies had a parallel group. In addition, no study used wearable technology. Robust evidence of the effects of telerehabilitation by videoconferencing on balance and gait for patients with PD was not found, suggesting that future powered, prospective, and robust clinical trials are needed.
Spiritual Care[Givers] Competence in Palliative Care: A Scoping Review
Authors: Costeira Cristina , Querido Ana , Ventura Filipa , Loureiro Hugo , Coelho Joana , Benito Enric , Nabal Maria , Dones Monica , Specos Marcela , Laranjeira Carlos
Published: May 2024

To deliver spiritual care, professionals must be skilled in physical, mental, social, and spiritual care. Spiritual care competence includes knowledge, behaviors, attitudes, and skills that enable successful or efficient care. This review aims to identify the scope of competence and the specific skills, knowledge, and attitudes used in providing spiritual care to people needing palliative care, and the main challenges and facilitators. A scoping review was developed using the Joanna Briggs Institute methodology. Six databases (Web of Science; MEDLINE/Pubmed; Scopus; CINAHL; MedicLatina and SciELO) were searched in September 2023, with an update in January 2024. The resulting 30 articles were analyzed using a content analysis approach. Information was categorized into three domains: cognitive, affective, and functional (based on three personal resources: intrapersonal, interpersonal, and transpersonal). Palliative care professionals face a lack of training and insufficient preparation to deliver spiritual care. Spiritual care competence depends on professional spiritual development and experience, spiritual intelligence (cognitive), spiritual humility (affective), and having a critical and reflexive mind (functional). In the future, palliative care should seek to improve competent spiritual care. This review could help clarify the real configuration of competent spiritual care and lead to improvements in a professional’s empowerment when delivering effective spiritual care to patients and families.
What Drives Paramedics to Serve in Rural and Remote Communities?
Authors: Al Haliq Samer , AlShammari Talal
Published: May 2024

In this study, we investigated the motivations of paramedic staff serving in rural and remote communities, given the consistent shortage of healthcare workers in these areas. Using a modified Global Motivation Scale (GMS) questionnaire, we surveyed 450 paramedics in Saudi Arabia, analyzing data from 379 respondents (response rate: 84.2%) with SPSS 29. Chi-square tests explored demographic links to motivation, and ANOVA compared mean scores across groups (p < 0.05). The results showed a moderate overall motivation (M = 3.37, SD = 0.82), with high intrinsic motivation (M = 3.67, SD = 0.96) and relatively high extrinsic motivation, notably in integration (M = 3.48) and identification (M = 3.41). Age and gender significantly influenced motivation (p < 0.05), with individuals aged 24–30 years exhibiting markedly lower motivation. ANOVA confirmed the age, gender, marital status (unmarried), and EMS experience (5–10 years) as significant factors, while the education, job title, and employment site had no significant impact. Scheffe’s post hoc test revealed age-related differences and emphasized the importance of EMS experience. This study suggests that both intrinsic factors and external pressures contribute to the lower motivation in adults in their mid-twenties in rural areas. Experience, particularly in EMS, significantly impacts motivation levels. We recommend tailored interventions that focus on intrinsic motivation and address external pressures to improve retention and care quality.
The Use of Barbed Sutures in Total Hip Arthroplasty: A Systematic Review on Clinical–Surgical Outcomes, Costs, and Complications
Authors: Russo Antonio , Centola Michele , Nicodemo Alberto , Massè Alessandro
Published: May 2024

Purpose: Total hip arthroplasty is among the most successful procedures in orthopaedic surgery. As the total number of total hip arthroplasties is constantly rising and it is expected to further increase, efforts oriented to optimise surgical pathways are investigated, aiming to reduce complications and diminish costs. The wound suturing phase is one of the steps that may be addressed. Barbed sutures have proved to reduce surgical times and enhance suture stability, then reducing wound-related complications in many surgical fields. The evidence on the use of this technology in total hip arthroplasty is still sparse, and its effect on patient outcomes and costs must still be clarified. Methods: A systematic search of studies published from 1 January 2000 to 1 March 2023 was performed. Two authors independently reviewed the literature available in eight electronic databases to identify papers eligible for inclusion. Results: A total of nine studies investigating 6959 procedures on 6959 patients were included in the final analysis. Five studies were randomised controlled trials, and the overall quality of studies ranged from moderate to high. The mean age of patients ranged from 43.8 to 70 years. BMI ranged from 25 to 31.9 kg/m2. The mean follow-up of studies ranged from 3 to 6 months. Conclusions: Evidence included in the systematic review suggested that the use of barbed sutures is associated with lower suturing times, complication rates, and overall costs when compared to the use of traditional suturing techniques. Level of evidence: II, systematic review of level I and II studies.