bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Nebulised BromAc® on Mucus Plug in a Mechanically Ventilated Ex-Vivo Ovine Lung Model for Obstructive Respiratory Tract
Authors: Valle Nicole , Eapen Mathew Suji , Pillai Krishna , Morris Richard , Akther Javed , Mekkawy Ahmed H , Morris David L , Valle Sarah J.
Published: June 2024

Mucus plugging of the respiratory tract occurs in airway diseases, including asthma, chronic obstructive pulmonary disease and cystic fibrosis. It can cause blockage of airways, leading to breathlessness and lung failure. Here, we demonstrate the effect of BromAc® in dissolving mucus plugs in an novel ex-vivo ovine obstructive lung model using a ventilatory setup. Mucus simulant was filled into the trachea of freshly slaughtered ovine lungs and ventilated via an endotracheal tube (ETT) using Continuous Mandatory Ventilation. Predetermined single or repeated doses of Bromelain, Acetylcysteine (Ac), BromAc® and saline control were administered via an Aerogen® vibrating nebuliser and ventilated for 30 or 60 minutes. Ventilatory recording of resistance, compliance, tidal volume was conducted and rheology pre and post treatment were measured. A significant decline in airway resistance (p<0.0001) compared to saline control was observed when treated with Bromelain, Ac and BromAc®, with the latter showing a stronger mucolytic effect than single agents. The decline in resistance was also effective in shorter timepoint (p<0.05) at lower doses of the drugs. Changes in compliance, peak pressure and tidal volume was not observed post-administration of the drugs. Rheology measurements revealed that BromAc®™ significantly reduced the viscosity of the mucin at the end of 30-minute and 60-minute time points (p<0.001) compared to the saline control. BromAc® showed complete dissolution of the respiratory mucus simulant and improved ventilatory airflow parameters in the ex-vivo ovine model.
Feature Distributions of Technologies
Authors: Zhu Jiannan , Deng Chao , Pan Jiaofeng , Gu Fu , Guo Jianfeng
Published: June 2024

The development of one technology can be portrayed by common methods like Gartner’s hype cycle or S-curve, however, there is no method to characterize the feature distributions of multiple technologies within a specific domain. This study proposes a big data-based method in terms of four proposed features, namely versatility, significance, commerciality, and disruptiveness, to characterize the technologies within a given domain. The features of technologies are quantitively portrayed using the representative keywords and volumes of returned search results from Google and Google Scholar in two-dimensional analytical spaces of technique and application. We demonstrate the applicability of this method using 452 technologies in the domain of intelligent robotics. The results of our assessment indicate that the versatility values are normally distributed, while the values of significance, commerciality, and disruptiveness follow power-law distributions, in which few technologies possess higher feature values. We also show that significant technologies are more likely to be commercialized or causing potential disruption, as such technologies have higher scores in these features. Further, we validly prove the robustness of our approach via comparing historical trends with literature and characterizing technologies in reduced analytical spaces. Our method can be widely applied in analyzing feature distributions of technologies in different domains, and it can potentially be exploited in decisions like investment, trade, and science policy.
Evolution of the Beach-Dune Systems in Mediterranean Andalusia (Spain) Using Two Different Proxies
Authors: Molina Rosa , Anfuso Giorgio , González-Aguilar Belén , Manno Giorgio , Cooper J. Andrew G.
Published: June 2024

Coastal environments are complex systems that are influenced by a combination of natural processes and human activities. Scientific interest in the effects of coastal erosion/accretion and climatic change-related processes greatly increased in recent decades due to the growing human development along coastal areas. This paper investigates the state and evolution of beach-dune systems for the 1977-2001 and 2001-2019 periods of the Mediterranean coast of Andalusia (Spain) using two different proxies: the dune toe line, which was used to track foredunes evolution, and the high-water line, which was used to assess shoreline evolution. Results showed a general erosional behavior of the studied beach-dune systems and identified cases where the main trend was altered through human interventions. In the 1977-2001 period, 54% of foredunes showed erosion, 24% accretion and 22% stability while and 34% of shorelines showed erosion, 40% accretion and 34% stability. In the 2001-2019 period, 42% of foredunes showed erosion, 28% accretion and 30% stability, and 40% of shorelines showed erosion, 34% accretion and 26% stability. Combining the evolution classes of each proxy (dune toe/shoreline) allows the behavior of both shoreline proxies to be assed together and provides insights additional to those derive from the use of a single proxy. In this regard, Erosion/Erosion (EE) was the most frequent behavior, with 25% and 27% in the first and second periods respectively, and Accretion/Accretion (AA), with 17% in both periods. Erosion of foredunes combined with stability or accretion of the shoreline (ES and EA) were the most common pairings in the first period, while stability of dunes combined with accretion of the shoreline (SA) and Stability/Stability (SS) dominated in the second period. The results obtained provide additional insights on the nature and drivers of coastal change that aid local coastal managers and administrations in understanding erosion processes. The method can be applied at other areas around the world where a similar data base is available.
Artificial Intelligence Technologies Applied to Smart Grids and Management
Authors: Marques Paula Cristina , Oliveira Paulo Alexandre
Published: June 2024

Smart grids represent the evolution of traditional electrical grids through the integration of digital and communication technologies. These grids are capable of monitoring and managing the distribution of electricity efficiently and resiliently. Artificial Intelligence (AI) plays a crucial role in this context, offering advanced solutions for optimization, forecasting, and energy management. This paper explores the main AI technologies applied to smart grids, highlighting their advantages, challenges, and impacts on energy efficiency and sustainability. The methodology employed includes a comprehensive literature review, analysis of current AI applications in smart grids, and examination of case studies to illustrate the practical implementation and benefits of AI technologies in this field.
Performance Prediction of Centrifugal Norm Pumps Operating as Turbines
Authors: Bogdanović-Jovanović Jasmina , Stamenković Živojin , Kocić Miloš , Petrović Jelena
Published: June 2024

Pump-as-turbines (PAT) have been widely used during the last decade as one of the most interesting technologies in the field of energy recovery. A large number of studies and papers have been published in which the performance of the pumps in the turbine operating regime are analysed. Since horizontal single stage centrifugal norm pumps are most commonly used as PATs, their performances are analysed in this paper. Most of the research was related to individual pump aggregates or smaller groups and to obtaining their performance curves in turbine random mode. In this work, extensive experimental, numerical and theoretical investigations are conducted to obtain complete dimensionless performance characteristics of the single stage centrifugal norm pumps operating as turbines. The main goal of this research was to form a simple analytical expression that will, for this type of aggregate, map the pump operating characteristic to the appropriate turbine operating regime. By using the expressions obtained and presented in the work, engineers are enabled to make the appropriate choice of pump aggregate for operation in the turbine random mode for potential locations. This can allow us to quickly make selection of potential locations and to carry out appropriate techno-economic analyses and analyses of possible energy savings.
Predicting Crime Categories in Montreal: A Comparative Analysis of Machine Learning Algorithms
Authors: Muktar Bappa , Fono Vincent , Zongo Meyo
Published: June 2024

Every year, the Montreal police are confronted with countless crimes committed by criminals. These crimes affect the quality of life of city residents and impose a socio-economic burden on the city. In this study, we conduct a comparative analysis based on several machine learning algorithms to develop a model to predict the crime category in Montreal. The performance of algorithms such as eXtreme Gradient Boosting (XGBoost), Decision Trees (DT) and Random Forest (RF) were analyzed. The performance analysis takes into account the performance metrics such as precision, accuracy, recall and F1-score. This analysis was based on crime data in Montreal from 2015 to 2023. This data is characterized by a strong imbalance between crime categories. To address the data imbalance problem, a data balancing approach based on the SMOTE-ENN algorithm was adopted. In the exploratory data analysis phase, temporal trends by crime category were highlighted. The results of the analysis showed that the XGBoost algorithm outperformed the other two. Specifically, the XGBoost algorithm achieves an accuracy of 92%, while DT and RF achieve an accuracy of 86% and 84%, respectively. As a result, XGBoost was deployed via a web application using the Flask and Swagger UI Python frameworks. This study provides the Montreal police with an effective tool to better utilize their resources in fighting crime. In addition, policymakers in the city of Montreal can use this tool to identify high-risk areas and give them more attention.
Biological Control Options for the Management of Tadpole Shrimp (Triops longicaudatus (LeConte)) in California Rice
Authors: Bloese Joanna Bess , Goding Kevin , Godfrey Larry
Published: June 2024

Tadpole shrimp (Triops longicaudatus) has become a major pest for California rice farmers. Currently, management relies solely on the insecticide lambda-cyhalothrin. However, resistance to this pyrethroid was confirmed in 2016, thus identifying an effective and practical biological control method for TPS is a priority. Field trials were conducted from 2017 to 2018 to: (1) evaluate the efficacy of the predatory fish Gambusia affinis and the predatory beetles, Laccophilus maculosus (Say) and Tropisternus lateralis (Fabricius), in controlling TPS, (2) test the efficacy of several inoculation rates of Gambusia affinis at controlling TPS and (3) to explore early indicators of TPS activity and damage as monitoring tools. Both Gambusia affinis and the predatory beetle treatments were not significantly different from the commercial standard (lambda-cyhalothrin). Both four and five Gambusia per 1 m2 controlled TPS as well as lambda-cyhalothrin, and we observed that Gambusia affinis was able to reproduce in the field. Water turbidity was significantly correlated with TPS counts (R = 0.85, N = 20, P < 0.0001 (2017); R = 0.58, N = 30, P = 0.0007 (2018)). The number of dislodged seedlings was less reliably correlated with TPS count; in 2017 correlations were significant (R = 0.84, N = 20, P < 0.0001), however, in 2018 correlations were not significant (R = 0.18, N = 30, P = 0.35). With further refinement water turbidity could play a valuable role in monitoring TPS populations.
Revolutionizing Eye Care: Exploring the Potential of Microneedle Drug Delivery
Authors: Rojekar Satish , Parit Swapnali , Gholap Amol D. , Manchare Ajit , Nangare Sopan N , Hatvate Navnath T , Sugandhi Vrushabh V. , Paudel Keshav Raj , Ingle Rahul G
Published: June 2024

Microneedle technology is a novel platform technology that revolutionizes ocular drug delivery and addresses critical challenges in the treatment of ocular diseases. Routine treatment methods, such as eye drops and intravitreal injections, suffer from low bioavailability and poor patient compliance. So, novel advanced platform technologies are required to overcome these challenges. Microneedle is a minimally invasive and promising alternative technique that helps precisely control drug delivery to targeted tissues and organs.

This review investigates the potential impact of microneedle technology for eye care, underscoring recent advancements, underlying mechanisms, and emerging preclinical and clinical uses. Different types of microneedles, including solid, coated, dissolvable, and hollow, have demonstrated their potential and capability to bypass several barriers in the cornea and sclera. This ensures effective drug penetration and delivery. The current innovations in material science and fabrication methods have enhanced the safety and efficacy of microneedles, reducing discomfort and the chances of infections. These microneedle technologies offer sustained and controlled drug delivery, which could improve therapeutic outcomes for various disease conditions like age-related macular degeneration, glaucoma, diabetic neuropathy, etc.

In the current review, recent preclinical and clinical studies emphasize microneedle-based ocular drug delivery's feasibility and potential benefits. These include improved pharmacokinetics, reduced dosing frequency, enhanced patient adherence, and, most importantly, microneedles offer versatile platforms for delivering a wide range of small and large molecules and gene therapies. Despite the exciting progress, obstacles such as regulatory barriers, scalability, and long-term biocompatibility persist. It will be essential to tackle these challenges through interdisciplinary research and partnerships to integrate microneedle technology into standard clinical use effectively. Ultimately, microneedle drug delivery offers a revolutionary method that has the potential to significantly enhance the treatment and results of ocular diseases, marking the dawn of a new era in eye care.
Examining the Correlation of the Nano-fertilizer Physical Properties and Their Impact on Crop Performance and Nutrient Uptake Efficiency
Authors: Madlala Nothando Clementine , Khanyile Nokuthula , Masenya Abby
Published: June 2024

The physical properties of nano-fertilizers (NFs) are important in determining their performance, efficacy, and environmental interactions. Nano-fertilizers, due to their small size and high surface area-to-volume ratio, enhance plant metabolic reactions, resulting in higher crop yields. The properties of nano-fertilizers depend on the synthesis methods used. The nanoparticle's nutrient use efficiency (NUE) varies among plant species. This review aims to analyze the relationship between the physical properties of NF and their influence on crop performance and nutrient uptake efficiency. The review focuses on the physical properties of NFs, specifically their size, shape, crystalline, and agglomeration. This review found that smaller particle-sized nanoparticles exhibit higher nutrient use efficiency than larger particles. Nano-fertilizer-coated additives gradually release nutrients, reducing the need for frequent application and addressing limitations associated with chemical fertilizer utilization. The shapes of nano-fertilizers have varying effects on the overall performance of plants. The crystalline structure of nanoparticles promotes a slow release of nutrients. Amorphous nano-fertilizers improve the NUE and, ultimately, crop yield. Agglomeration results in nanoparticles losing their nanoscale size, accumulating on the outer surface, and becoming unavailable to plants. Understanding the physical properties of nano-fertilizers is crucial for optimizing their performance in agricultural applications.
Modification and Performance Evaluation of a Biomass Pelleting Machine
Authors: Jekayinfa Simeon Olatayo , Ola Folorunso Adegboyega , Akande Fatai Bukola , Adesokan Mutairu Abiola , Abdulsalam Ibrahim Akinola
Published: June 2024

The use of biomass as a source of energy has been identified to be energy intensive which involves high cost of handling. However, pelletization reduces the bulk density of biomass, thereby reducing the cost of handling and enhancing ease of use. This study modified and evaluated an existing hand operated fish feed pelleting machine. The parts of the machine that were redesigned are hopper and power transmission unit. Corncob was used to evaluate the modified machine using die hole diameter (5,6 and 7 mm) and binder quantity (0, 2.5 and 5 wt%) as factors. The average results obtained for machine efficiency, throughput, pellet length and bulk density were 58.83%, 4.24 kg/h, 15.51 mm and 0.160 g/cm3. Die hole diameter had significant effect on pellet length only. Binder quantity had significant effect on machine efficiency, throughput and pellet length. Machine efficiency and throughput reduces as the quantity of binder increases and pellet length increases with increasing quantity of binder.
Experimental Verification of a Two-Motor-Two-Pump Motor-Controlled Hydraulic Cylinder with Throttle-Free Passive Load-Holding Capability in Four-Quadrant Operations
Authors: Zhao Wei , Ebbesen Morten Kjeld , Hansen Michael Rygaard , Andersen Torben Ole
Published: June 2024

In a motor-controlled hydraulic cylinder (MCC), the two chambers of the cylinder are directly connected to single or multiple fixed-displacement hydraulic pumps driven by electric servo motors. In contrast to a valve-controlled cylinder, an MCC does not have valve throttling, resulting in an improved system energy efficiency. Among various MCC topologies, the two-motor-two-pump (2M2P) MCC distinguishes itself through several notable advantages, including precise cylinder pressure control and eliminating mode switch oscillations. Nevertheless, there are remaining challenges in fully realizing its operations across four quadrants and establishing an effective load-holding function within these operations. This study bridges this gap by implementing a 2M2P MCC prototype on a laboratory knuckle boom crane, enabling operation across all four quadrants. Experimental results indicate that position tracking errors remain within ±2.5 mm across three cases. Furthermore, smooth intersection of cylinder bore side and rod side pressures is observed during transitions between quadrants. In conclusion, the proposed 2M2P MCC demonstrates seamless operation throughout all quadrants, with the load-holding function smoothly activating and deactivating in all four quadrants.
Mechanical Properties of Ultra-High Performance Concrete with Steel and PVA fibers
Authors: Jacintho Ana Elisabete Paganelli Guimarães de Ávila , Santos André M. dos , Jr. Gilvan B. Santos , Barbante Grazielle G. , Pimentel Lia L. , Forti Nádia C. S.
Published: June 2024

A single paragraph of about 200 words maximum. For research articles, abstracts should give a Ultra-high performance concrete (UHPC) has gained worldwide popularity because of its notable mechanical response. This research studied the compressive strength, modulus of elasticity, and flexural tensile strength of UHPC. Batches were made with the addition of steel and PVA fibers using a standard procedure defined in the research. The experimental data from the compressive strength test was analyzed in the Statistica 10 software to investigate the fibers' influence on UHPC's mechanical properties. An analysis of the elastic modulus prediction was carried out according to international standards. It was found that the normalized equations for the elastic modulus are not adequate for its estimation. The statistical analysis indicated that the range of fiber quantities analyzed did not significantly affect the compressive strength and the elastic modulus. Regarding the optimized mix, its flexural tensile strength indicates that the fiber content must be higher for UHPC to be suitable for structural use.
Preterm Births Attributable to Criteria Air Pollutant Exposure in Bangladesh During 2015–2019
Authors: Partha Debatosh B. , Yasmin Sumiya , Nath Hrithik
Published: June 2024

Criteria air pollutant exposure has always been a major factor that negatively impacts human health through different pathways. One of the critical concerns is adverse birth outcomes associated with criteria air pollutant exposure such as low birth weight, preterm births, neonatal mortality, etc. Recent studies show that criteria air pollutant exposures are strongly associated with the elevated risk of preterm births defined as any birth occurring before 37 weeks of gestation. Bangladesh is one of the most polluted and has the highest preterm birth rate compared to other countries of the world. Although numerous global and regional studies investigate the impacts of criteria air pollutant exposure on preterm births, limited studies are available that investigated the impacts of the major criteria air pollutants on preterm births in recent years for Bangladesh. In this study, we employ the criteria air pollution data from the MERRA-2 model and satellite-sensed data regionally scaled for Bangladesh from NASA Giovanni (version 4.38) coupled with exposure-response modeling to quantify the impacts of CO, O3, PM2.5, SO2, and NO2 exposure on preterm births in Bangladesh during the 2015-2019 period. Based on the air quality analysis, the highest CO, O3, PM2.5, SO2, and NO2 exposures were observed in 2018 up to 272.8 /m3, 88.2 ppbv, 62.9 /m3, 20.5 /m3, and 11.6 ppbv respectively. This elevated amount of criteria air pollutant exposure has had direct implications for the increased rate of preterm births in Bangladesh. During 2015-2019, CO, O3, PM2.5, SO2, and NO2 exposures from all natural and anthropogenic emissions combinedly caused from 0.18 million [95% confidence interval (95CI): 0.08 – 0.29 million] up to 0.20 million [95CI: 0.08 – 0.32 million] preterm births among 4.3 million annual total live births each year which indicated a 4.4-4.9% preterm birth rate exclusively attributable to criteria air pollutant exposure in Bangladesh. Our study is critical for the overall wellbeing of the under-represented women and children in Bangladesh as it facilitates the quantitative evidence of preterm births caused by major air pollutant exposure and advocates the reduction of countrywide air pollution and establishment of well-aware community by facilitating low-cost air quality monitoring system in each household, necessary reformation of pollution prevention policies & regulations in national level and strict as well as vigilant law enforcement on human activities that causes air pollution.
Edible Wild Relatives of Cultivated Plants of Popular Use in the Iberian Peninsula
Authors: Valdes Benito , Stoycheva Christina
Published: June 2024

Before the Bronze age, when agricultural practices spread throughout the Iberian Peninsula, the diet of natives was based on hunting, fishing and gathering wild plants. On spite of modern agriculture, the popular gathering of wild species for medical use, feeding, craftwork, etc. for centuries, has left a deep knowledge on the use of many of those species. Of the 6.176 Angiosperms native to the Iberian Peninsula and the Balearic Islands, over 200 species were introduced into cultivation from the Neolithic outside the Iberian Peninsula. The name of 30 of the progenitors still popularly used as food, are listed in this paper, together with the name of the derived crops. Special attention is paid to five wild species, including their composition and pharmacological properties, collected as food from ancient times, that in response to their great demand, have been recently introduced into cultivation in Spain and are now harvested and commercialized as new crops.
Carbon (δ13C) and Nitrogen (δ15N) Isotope Dynamics during Decomposition of Norway Spruce and Scots Pine Litter
Authors: Gautam Mukesh K. , Berg Bjorn , Lee Kwang-Sik
Published: June 2024

We studied the dynamics of stable carbon (δ13C) and nitrogen (δ15N) isotopes in litters from Norway spruce (NSL) (Picea abies) and Scots pine (SPL) (Pinus silvestris) during in situ decomposition over a period of more than 4 years. Relative to initial values, δ13CNSL showed a weak enrichment (0.33‰), whereas δ13CSPL resulted in depletion (-0.74‰) at the end of decomposition. Both litter types experienced a depletion in δ15N during decomposition; δ15NNSL decreased by -1.74‰ and δ15NSPL decreased by -1.99‰. The effect of the selective preservation of or acid unhydrolyzable residue (AUR) in lowering δ13C of the residual litter was evident only in SPL. In the NSL, only in the initial stage C/N had a large effect on the δ13C values. In the later stages, there was a non-linear decrease in δ13CNSL with a simultaneous increase in AUR concentrations , but the effect size was large, suggesting the role of lignin in driving δ13C of residues in later stages. Depletion in 15N of the residual litters concomitant with the increase in N concentration suggests bacterial transformation of the litter over fungal components. A consistent decline in δ15N values further implies that bacterial dominance prompted this by immobilizing nitrate depleted in 15N in the residual litter.
Atomic-Scale Structural and Magnetic Coupling Properties of Twin Boundaries in LiFe5O8 Film
Authors: Liu Kun , Li Jiankang , Zhang Songyou
Published: June 2024

It is of great academic significance to understand how the atomic structure of interfaces and boundaries in materials impacts the magnetic coupling nature across the boundaries and encourage development of state-of-the-art magnetic devices. Here, we carry out a systematic investigation of the atomic and electronic structures of twin boundaries (TBs) in LiFe5O8 thin films and determine their concurrent magnetic couplings using atomic-resolution transmission electron microscopy and atomistic first-principles calculations. The results show ferromagnetic or antiferromagnetic coupling can exist across the different TBs in LiFe5O8 (LFO) thin films and electrical structures within a few atomic layers directly rely on the TB atomic core structures. Uncovering one-to-one relationship between the magnetic properties of individual TB and the local atomic structures will clarify a thorough comprehension of numerous fascinating magnetic properties of commonly utilized magnetic materials, which will undoubtedly encourage the progress of sophisticated magnetic materials and devices.
Effects of Materials (Aluminum and Brass) and Bio‐Inspired Trapezoidal Riblets on Mitigation of Erosion Induced by Cavitation Bubble Multiple Collapses
Authors: Kadivar Ebrahim , Rezaee Sasan , Löschner Udo , el Moctar Ould
Published: June 2024

The current research investigates the effects of material and riblets on cavitation-induced erosion morphology, depth, and cross-sectional area through experimental approaches. To achieve these aims, the erosion of pure aluminum (1xxxAl or Al) and alpha brass (CuZn37 or CZ108) in the presence and absence of bio-inspired sawtooth riblets was examined after exposure to multiple collapses of single cavitation bubbles with a wall distance of 1.8. The results indicate that the erosion morphology resembles a rounded cone with a circular cross-section. Brass provides 21.6% more erosion resistance compared to Al in terms of material properties. Furthermore, the erosion for both Al (depth by 3.8% and width by 18.3%) and brass (depth by 7.9% and width by 27.4%) decreases in the presence of riblets compared to flat surfaces. The greater erosion resistance of brass compared to Al is attributed to the superior mechanical stability of brass, making it a potentially suitable alloy for propellers and hulls. In sum, the results reveal that riblet-provided materials with high mechanical durability are promising erosion-resistant materials for the shipping industry. However, the potential for chemical reactions in a cathodic environment should be addressed to provide a comprehensive perspective on reducing corrosion intensity.
Catalytic Cascade for Biomass Valorisation: Coupled Hydrogen Transfer Initiated Dehydration (Htid) and Self-Aldol Condensation (Sac) for the Synthesis of 2-Methyl-Pent-2-Enal from 1,3-Propanediol
Authors: Ma Yueyuan , Wang Yue-Ming , Lorenzini Fabio , Marr Andrew Craig
Published: June 2024

A one-pot, one-step protocol combining hydrogen transfer initiated dehydration (HTID) of 1,3-propanediol (1,3-PDO), catalysed by [Cp*IrCl2(NHC)] (Cp* = pentamethylcyclopentadienyl; NHC = carbene ligand) complexes (1-5H and 1-3F), and self-aldol condensation (SAC) of propanal (2), allowed selective production of aldehyde 2-methyl-pent-2-enal (3), in ionic liquids with high substrate conversion. The Ir(III) pre-catalysts, and the ionic liquids, were recyclable. 3 could also be selectively produced in the presence of water, and in neat 1,3-PDO. The efficient, selective delivery of a value-added chemical from 1,3-PDO, a major product of many whole cell bacterial fermentation processes, shows that the combination of chemo-catalytic processing of the chemical platform via Cp*IrCl2(NHC) - catalysed HTID / SAC with bio-catalysis has the potential to allow direct valorisation of the bio-renewable feedstocks, such as waste glycerol and sugars, into valuable chemicals.
Preoperative Cortical Mapping for Brain Tumor Surgery Using Navigated Transcranial Stimulation: Analysis of Accuracy
Authors: Paiva Wellingson Silva , Fonoff Erich Talamoni , Silva Rhuann , Schiavao Lucas , Russowsky Brunoni André , Cimonari César , Carlotti Júnior Carlos
Published: June 2024

Transcranial magnetic stimulation (TMS) represents a distinctive technique for non-invasive brain stimulation. Recent advancements in image processing have enabled the enhancement of TMS by integrating magnetic resonance imaging (MRI) modalities with TMS via a neuronavigation system. The aim of this study is to assess the efficacy of navigated TMS for cortical mapping in comparison to surgical mapping using direct electrical stimulation (DES). The study involved 30 neurosurgical procedures for tumors located in or adjacent to the precentral gyrus. The DES points were compared with TMS responses based on the original distances of vectorial modules. There was a notable similarity in the points obtained from the two mapping methods. The distances between the geometric centers of TMS and DCS were 4.85 ± 1.89 mm. A strong correlation was identified between these vectorial points (r = 0.901, p < 0.001). The motor threshold in TMS was highest in the motor cortex adjacent to the tumor compared to the normal cortex (p < 0.001). Patients with deficits exhibited excellent accuracy in both methods. In view of this, TMS demonstrated reliable and precise application in brain mapping, which is a promising method for preoperative functional mapping in motor cortex tumor surgery.
Households’ Financial Literacy in Central European Countries – a Recent Survey in Poland
Authors: Gębski Łukasz , Daw Georges
Published: June 2024

Consumer protection in the financial market has several dimensions. From a formal point of view, consumer rights are guaranteed by law. Market asymmetries are eliminated through the obligation to provide consumers with complete and objective information about financial products and services, honest marketing communication and professional sales practices. Programs are implemented in schools and the media to promote knowledge and responsible use of financial products and services. Despite the efforts made, the number of incorrect and suboptimal financial decisions is so high that the risk of households falling into excessive debt remains significant.

The limited effectiveness of the law led to the claim that only effective education can reduce the risk of suboptimal financial decisions. Unfortunately, the efforts made in this area are not fully satisfactory.
The aim of the article is to review scientific research on the financial knowledge of consumers in Central Europe and compare it to the results of a study conducted in Poland in January 2024.

The results of the analysis could indicate the direction of further research on the possibilities of eliminating suboptimal financial decisions of consumers without limiting - for their better protection - access to financial products.
Glass Ceramic Materials with Luminescent Properties in the System ZnO-B2O3-Nb2O5-Eu2O3
Authors: Aleksandrov Lyubomir , Yordanova Aneliya , Milanova Margarita , Iordanova Reni , Tzvetkov Peter , Markov Pavel , Petrova Petia
Published: June 2024

In this paper glass crystallization behavior of 50ZnO:47B2O3:3Nb2O3:0.5Eu2O3 (G-0h) glass has been investigated in detail by DSC, XRD and TEM analysis. The luminescent properties of resulted glass-ceramics were also investigated. By XRD and TEM analysis crystallization of several crystalline phases have been proved (α-Zn3B2O6, β-Zn3B2O6 and ZnNb2O6). By calculating of crystal parameters it was found that europium ions are successfully incorporated in the β-Zn3B2O6. Photo-luminescent spectra show an increased emission in the resulting glass-ceramic samples as compared with the parent glass sample because of the higher asymmetry of Eu3+ ions in the crystalline phases obtained. It was established that the optimum emission intensity is registered for glass-ceramic sample obtained after 25 hours heat treatment of the parent glass.
Brief Cognitive Behavioral Therapy for Depression and Anxiety in Patients With Schizophrenia in Psychiatric Home Nursing Service: Pilot Randomized Controlled Trial
Authors: Katsushima Masayuki , Shimizu Eiji
Published: June 2024

This pilot randomized controlled trial (RCT) aimed to explore whether depression and anxiety could be reduced by psychiatric home healthcare supporters offering brief cognitive behavioral therapy for psychosis (CBTp) at home using a workbook for patients with schizophrenia. Eighteen patients with schizophrenia treated in a psychiatric home nursing service were randomly assigned to two groups: one group received CBTp in addition to usual care (CBTp + TAU group; n=8) and the other received only usual care (TAU group; n=8); 2 patients were excluded due to hospitalization or withdrawal of consent. Eight weekly CBTp sessions were conducted; anxiety/depression, quality of life, self-esteem, and overall functioning were assessed at baseline, week 9, and week 13. There was no significant difference in the primary evaluation; however, a significant improvement (p=0.014) was observed in the secondary evaluation of quality of life. The effect size was 0.95 for primary evaluation and 1.33 for the secondary evaluation, indicating a large effect. This study showed that nurses and occupational therapists can provide CBTp in psychiatric home care for patients with schizophrenia to potentially alleviate anxiety and depression compared to standard psychiatric home care alone. Therefore, larger RCTs with larger sample sizes are recommended.
Exploring Sustainable VR Use Cases for Startup Business Models: A Customized Customer Development Approach
Authors: Pratama Dimas Pandu , Putra Panca O. Hadi
Published: June 2024

Recognized as key players in achieving the Sustainable Development Goals (SDGs), startups are increasingly poised to leverage Virtual Reality (VR) technology for impactful solutions. This study investigates the synergy between startups and VR in advancing SDG-related challenges, echoing previous assertions on startups' aptitude for SDG endeavors and VR's potential for SDG advancement. Through an exploration of VR's applicability in various domains such as Entertainment, Training, Education, and Tourism, this study unveils compelling use cases aligning with SDG aspects, thus validating the hypothesis on startups' potential to harness VR for SDG contributions. The study employs a customized customer discovery technique, an essential process in the Customer Development methodology, to uncover VR's problem-solution fit, offering practical insights for startup business model development. The implications of these findings extend globally, underlining VR's role in addressing SDG issues and laying a robust foundation for startup ventures. Despite its focus on specific consumer markets and sectors, the study's methodology presents a practical approach applicable to broader technology adoptions.
Treatment of Superficial Vein Thrombosis: Recent Advances, Unmet Needs and Future Directions
Authors: Di Nisio Marcello , Camporese Giuseppe , Di Micco Pierpaolo , Martini Romeo , Ageno Walter , Prandoni Paolo
Published: June 2024

Once considered relatively benign, superficial vein thrombosis (SVT) of the lower limbs is often linked to deep vein thrombosis (DVT) or pulmonary embolism (PE). Treatment goals include alleviating local symptoms and preventing SVT from recurring or extending into DVT or PE. Fondaparinux 2.5 mg once daily for 45 days is the treatment of choice for most patients with SVT. Potential alternatives include intermediate-dose low-molecular-weight heparin or the direct oral factor Xa inhibitor rivaroxaban. Despite these treatment options, significant gaps remain, including the role of systemic or topical anti-inflammatory agents alone or combined with anticoagulants, and the optimal duration of anticoagulation for patients at varying risk levels. Additionally, the efficacy and safety of factor Xa inhibitors other than rivaroxaban, management of upper extremity SVT, and optimal treatment for SVT near the sapheno-femoral or sapheno-popliteal junctions are not well understood. This narrative review aims to summarize current evidence on anticoagulant treatment for SVT, highlight key unmet needs in current approaches, and discuss how ongoing studies may address these gaps.
Feasibility Assessment of Implementing Semi-interlocking Masonry As Infill Panels in Framed Building Construction
Authors: Hossain Md Akhtar , Totoev Yuri Z. , Masia Mark John
Published: June 2024

Semi-Interlocking Masonry (SIM) represents an innovative building system developed at the Centre for Infrastructure Performance and Reliability at The University of Newcastle, Australia. This system employs a unique approach to interlocking mortar-less engineered masonry panels constructed from SIM units. These units are designed to offer substantial energy dissipation capacity, primarily attributed to the friction occurring on the sliding bed joints between the units within the panel during seismic events. The primary aim of this study is to evaluate the viability of incorporating semi-interlocking masonry as infill panels in the construction of multi-storey buildings across diverse geographical locations with varying seismic conditions in Australia. To assess the feasibility of SIM panels in different conditions (according to Australian Standard AS1170) in Australia, a comprehensive analysis using Strand7 is conducted on a three-storey structure incorporating traditional masonry infill panels and SIM panels. The comparison of displacement and base shear capacities is carried out in response to seismic events across various scenarios in different locations within Australia. The insights gained from this comparative analysis contribute valuable information regarding the viability of implementing SIM as a contemporary construction material.
Smart Presence Detection: Harnessing Wi-Fi Signals and Machine Learning with ESP8266
Authors: Khan Rehan , Khan Danish
Published: June 2024

Presence detection is essential in many applications, including smart homes, office automation, and public space management. Traditional technologies like infrared sensors and cameras frequently encounter obstacles due to privacy concerns, high costs, and complexity. The study provides a novel way to detect presence based on Wi-Fi signals and machine learning algorithms, utilizing the ESP8266 microcontroller. The suggested system attempts to reliably detect the presence of people in a given place by evaluating fluctuations in Wi-Fi signal strength and patterns. The theoretical basis of this strategy is investigated, including the ESP8266’s capabilities for Wi-Fi data gathering and the use of machine learning methods for data analysis. The methodology includes data collecting with the ESP8266, preprocessing, feature extraction, and training and evaluating machine learning models. This system’s potential uses include smart home automation, office occupancy tracking, and crowd management in public settings. The paper also discusses potential issues such as signal interference, data privacy concerns, and the limitations of Wi-Fi detection. Future work is also mentioned, including the suggested system’s installation and testing and enhancement proposals to improve accuracy and scalability. This research aims to provide a cost-effective, non-intrusive, and scalable presence detection system by harnessing the power of Wi-Fi signals and machine learning, enhancing intelligent environments
Development of a High-Sensitivity Millimeter-Wave Radar Imaging System for Non-Destructive Testing
Authors: Murakami Hironaru , Fukuda Taiga , Otera Hiroshi , Kamo Hiroyuki , Miyoshi Akito
Published: June 2024

The development of non-destructive testing (NDT) methods for infrastructure facilities and residential buildings that may affect human life is urgent to prevent collapse due to aging or damage in the event of earthquakes and other events. In this study, we developed a single-input and multiple-output (SIMO) synthetic aperture radar (SAR) imaging system using a high-sensitivity millimeter-wave (MM-wave) array antenna module with high directivity and absolute gains of 13.5 dB and 14.5 dB for the transmit and receive antennas, respectively. After various performance evaluations, we successfully demonstrated the usefulness of this system in NDT. Specifically, we observed cracks hidden by fiberglass tape and black acrylic paint during measurements on concrete materials. In addition, we demonstrated the transmission performance of the MM-wave against a thin concrete plate and obtained the attenuation distance Λ_exp=6.0 mm. Furthermore, in the experiment using composite materials consisting of ceramic tiles and a refractory board bonded together, and another experiment using composite plywood which is used in ordinary residential construction materials in Japan, we were able to observe defects in the internal structure that are invisible to the human eye through a perspective view.
Advanced Scale-Propeller Design Using a MATLAB Optimization Code
Authors: Prior Stephen D. , Newman-Sanders Daniel
Published: June 2024

This study investigated the efficiency of scale-propellers, typically used on small drones. A scale-propeller is accepted as having a diameter of 7 to 21 inches. The Ukraine War has demonstrated the utility of relatively small, low-cost first-person view (FPV) drones, which are attritable. This investigation outlines the development of a MATLAB optimisation code, based on minimum induced loss propeller theory, which calculates the optimal chord and twist distribution for a chosen propeller operating in known flight conditions. The MATLAB code includes a minimum Reynolds number functionality, which provides the option to alter the chord distribution to ensure the entire propeller is operating above a set threshold value of Reynolds (>100,000), as this has been found to be a transition point between low and high section lift-to-drag ratios. Additional functions allow plotting of torque and thrust distributions along the blade. The results have been validated on experimental data taken from an APC ‘Thin Electric’ 10” x 7” propeller, where it was found that both the chord and twist distributions were accurately modelled. The MATLAB code resulted in a 16% increase in the maximum propulsive efficiency. Further work will investigate a direct interface to SolidWorks to aid rapid propeller manufacturing capability.
Assessment of Metabolic Imaging Biomarkers for MEK Inhibition Therapy Response in Melanoma
Authors: Gupta Pradeep Kumar , Orlovskiy Stepan , Arias-Mendoza Fernando , Nelson David S. , Nath Kavindra
Published: June 2024

The MAPK signaling pathway with BRAF mutations has been shown to drive the pathogenesis of 40-60% of melanomas. Inhibitors of this pathway's BRAF and MEK components are currently used to treat these malignancies. However, responses to these treatments are not always successful. Therefore, identifying noninvasive biomarkers to predict treatment responses is essential for personalized medicine of melanoma patients. Using noninvasive 1H magnetic resonance spectroscopy (1H MRS), we previously showed that BRAF inhibition reduces lactate and alanine tumor levels at early stages of effective therapy and could be construed as metabolic imaging biomarkers for drug response. The present work aimed to demonstrate if these metabolic changes and those assessed by 31P MRS are also found in preclinical human melanoma models treated with MEK inhibitors. Apart from 1H and 31P MRS, additional supporting in vitro biochemical analyses are described. Our results indicate significant early metabolic correlations with response levels to MEK inhibition in the melanoma models and are consistent with our previous study of BRAF inhibition. Given these results, our study supports the potential clinical utility of noninvasive MRS to objectively image metabolic biomarkers for early predicting melanoma response to MEK inhibition.
Cryptosporidium spp. Infection in Adult Kidney Transplant Patients
Authors: Kosik-Bogacka Danuta , Łanocha-Arendarczyk Natalia , Korzeniewski Krzysztof , Kabat-Koperska Joanna , Ziętek Paweł , Marchelek-Myśliwiec Małgorzata
Published: June 2024

Diarrhea is a common occurrence following vascular organ transplantation, including kidney transplants. It can be induced by non-infectious factors, adverse effects of immunosuppressive drugs, or infectious agents such as viruses, bacteria, fungi, or parasites. Intestinal protozoan parasites, include Cryptosporidium spp., are causes of infectious diarrhea particularly in immunocompromised patients. This review aims to summarize reports on epidemiology, pathogenesis, clinical presentation, diagnosis, and treatment of Cryptosporidium spp. infection in adult patients, particularly following kidney transplantation.
Exploring the Combustion Performance of a Non-road Air-Cooled Two-Cylinder Turbocharged Diesel Engine
Authors: Yao Xingtian , Dong Yunxiao , Li Xiang , Ni Peiyong , Zhang Xuewen , Fan Yuhang
Published: June 2024

Relying on the advantages of small size, simple structure, low cost and weight, air-cooled two-cylinder turbocharged diesel engines have been widely used in generator sets. However, there is still a lack of systematic study on the combustion characteristics of small air-cooled diesel engines. This paper presented a quantitative study on the combustion performance of a non-road air-cooled two-cylinder turbocharged diesel engine by both simulation and experiment. The results show that the increase of intake air temperature can delay the combustion center of gravity, and improve the combustion performance and the sustainability of diesel engines. The decrease of intake air pressure will lead to a reduction in oxygen amount during the combustion process, thus causing a deterioration of cylinder pressure and combustion performance. By modifying the combustion chamber, the ignition delay and combustion duration are each extended by 1.6 degrees and 4.2 degrees under 100% engine load. The ignition delay and combustion duration are not obviously affected by modifying the combustion chamber shape under 25% and 50% loads. By increasing the compression ratio from 19.5 to 20.5, the ignition delay and combustion duration are shortened, which could enhance the cylinder pressure and heat release rate. However, reducing the compression ratio from 19.5 to 18.5 could significantly decrease the heat release rate. Under middle and low loads, combustion duration is less affected by injection timing. Under 100% load, the peak cylinder pressure increases to 11.4 MPa, and the ignition delay is shortened by advancing injection timing from -17°CA to -20°CA. The findings of this study have the potential to offer new insights for promoting the sustainable development of diesel engines used in generator sets.