bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of climate change on residential properties in Wemabod Estate, Ikeja, Lagos State, Nigeria
Authors: Peter Nkolika J. , Okagbue Hilary I. , Adelowo Mofetoluwa G. , Samuel Olugbemisola W. , Iroham Chukwuemeka O. , Nto Sunday E.
Published: October 2024

The real estate sector is significantly impacted by climate change, with effects ranging from increasing risks of flooding and wildfires to shifting demand for certain types of property. These impacts influence insurance prices, property maintenance procedures, and the overall desirability of specific homes. While climate risk is acknowledged in the financial industry, its implications for the commercial and residential real estate sector are mostly studied in developed countries, with limited research in developing countries like Nigeria. This study attempts to fill this gap by exploring the potential impacts of climate change on residential properties in Lagos State, Nigeria, using Wemabod properties as a case study. The methodology involved analyzing primary data collected from residents of Wemabod Estate, Ikeja, Lagos, Nigeria, with purposive sampling used to recruit 100 participants due to absence of reliable census data. Data analysis was conducted using mean rank, t-test, and analysis of variance (ANOVA). Findings showed that most respondents demonstrated a good level of awareness about climate change. Analysis revealed that residential characteristics such as age, gender, level of education, and knowledge level of climate risk significantly influenced residents’ climate change coping and adaptation strategies, with notable mean differences in knowledge and perception based on these factors. The major perceived effects of climate change included extreme heat and flooding, followed by strong winds and irregular rainfall, leading to property impacts such as peeling paint, wall cracks, roof leakage, foundation shake, and burst pipes. These findings indicate that extreme heat and flooding are the primary climate change manifestations affecting residential properties in Lagos State. Property owners should implement measures to protect against these effects, regularly inspect and maintain their properties, consider climate risk in their insurance and maintenance plans, and stay informed about climate change impacts. This study underscores the need for further research on climate change’s impact on real estate in developing countries to better understand and mitigate these risks.
Optimal fermentation of Shuanghuanglian and its effects on production performance of laying hens
Authors: Xu Yongqing , Yi Siyu , Xu Xiaojie , Zhang Minghui , Cui Yadong , Lan Wei , Li Fenglan , Kong Xiangfeng
Published: October 2024

Background

Shuanghuanglian is a Chinese medicine composed of Honeysuckle Flower, Baical Skullcap Root, and Fructus Forsythiae. It has various effects, including anti-inflammatory, antibacterial, antiviral, and immunomodulatory effects. The fermented product of Shuanghuanglian can be used as an antibiotic alternative, as it has similar efficacy, which may improve the immunity, feed intake and utilization efficiency of laying hens, thus improving their production performance. The aim of this study was to optimize the fermentation conditions for Shuanghuanglian using single factor and response surface methodology, evaluate the chemical and microbial composition of the Shuanghuanglian fermentation liquor (SFL), and explore the effects of SFL on the production performance of laying hens.

Methods

A total of 288 Xinyang black-feather laying hens (50 week-old) were randomly allocated to four treatments with nine replicates, each replicate containing eight hens, for a total of 37 days trial (including a 7-day adaptation period). The treatments included a control group (0% SFL in drinking water) and drinking water supplemented with 0.3, 0.5, or 0.7% SFL.

Results

The fermentation optimization conditions for Shuanghuanglian were selected as a solid-to-liquid ratio at 1:7, 3% inoculation quantity, fermentation temperature at 28°C for 5 days, initial pH of 7, 60 mesh (sieved), and rotation speed of 150 r/min. Various bioactive compounds, such as myrtenol, 2-hexyn-1-ol, arsenous acid tris(trimethylsilyl) ester, 3(10)-caren-4-ol, and oxime-, methoxy-phenyl, were detected in SFL. The most abundant bacterial phyla in SFL were Proteobacteria and Firmicutes, with Acinetobacter being the most abundant genus. The most abundant fungal phyla were Phragmoplastophyta and Magnoliophyta. The 0.5 and 0.7% SFL supplementation in water increased egg weight and laying rate, while decreasing the feed-to-egg ratio of laying hens compared with the control group (p < 0.05). Additionally, 0.3, 0.5, and 0.7% SFL supplementation in water increased (p < 0.05) the Haugh unit, but there were no significant differences (p > 0.05) in albumen height, egg shape index, egg thickness, and yolk color of the eggs.

Conclusion

Supplementation of SFL under optimized conditions had a positive impact on the production performance of laying hens, especially when the supplementation amount reached 0.5%. This study provides a theoretical basis for the application of Shuanghuanglian in the commercial egg industry.
Enhancing Security in Social Networks through Machine Learning: Detecting and Mitigating Sybil Attacks with SybilSocNet
Authors: Cárdenas-Haro José Antonio , Salem Mohamed , Aldaco-Gastélum Abraham N. , López-Avitia Roberto , Dawson Maurice
Published: October 2024

This study contributes to the Sybil node-detecting algorithm in online social networks (OSNs). As major communication platforms, online social networks are significantly guarded from malicious activity. A thorough literature review identified various detection and prevention Sybil attack algorithms. An additional exploration of distinct reputation systems and their practical applications led to this study’s discovery of machine learning algorithms, i.e., the KNN, support vector machine, and random forest algorithms, as part of our SybilSocNet. This study details the data-cleansing process for the employed dataset for optimizing the computational demands required to train machine learning algorithms, achieved through dataset partitioning. Such a process led to an explanation and analysis of our conducted experiments and comparing their results. The experiments demonstrated the algorithm’s ability to detect Sybil nodes in OSNs (99.9% accuracy in SVM, 99.6% in random forest, and 97% in KNN algorithms), and we propose future research opportunities.
Explainable Machine Learning Model for Chronic Kidney Disease Prediction
Authors: Arif Muhammad Shoaib , Rehman Ateeq Ur , Asif Daniyal
Published: October 2024

More than 800 million people worldwide suffer from chronic kidney disease (CKD). It stands as one of the primary causes of global mortality, uniquely noted for an increase in death rates over the past twenty years among non-communicable diseases. Machine learning (ML) has promise for forecasting such illnesses, but its opaque nature, difficulty in explaining predictions, and difficulty in recognizing predicted mistakes limit its use in healthcare. Addressing these challenges, our research introduces an explainable ML model designed for the early detection of CKD. Utilizing a multilayer perceptron (MLP) framework, we enhance the model’s transparency by integrating Local Interpretable Model-agnostic Explanations (LIME), providing clear insights into the predictive processes. This not only demystifies the model’s decision-making but also empowers healthcare professionals to identify and rectify errors, understand the model’s limitations, and ascertain its reliability. By improving the model’s interpretability, we aim to foster trust and expand the utilization of ML in predicting CKD, ultimately contributing to better healthcare outcomes.
Road-Adaptive Static Output Feedback Control of a Semi-Active Suspension System for Ride Comfort
Authors: Kim Donghyun , Jeong Yonghwan
Published: October 2024

This paper presents a static output feedback controller for a semi-active suspension system that provides improved ride comfort under various road roughness conditions. Previous studies on feedback control for semi-active suspension systems have primarily focused on rejecting low-frequency disturbances, such as bumps, because the feedback controller is generally vulnerable to high-frequency disturbances, which can cause unintended large inputs. However, since most roads feature a mix of both low- and high-frequency disturbances, there is a need to develop a controller capable of responding effectively to both disturbances. In this work, road roughness is classified using the Burg method to select the optimal damping coefficient to respond to the high-frequency disturbance. The optimal control gain for the feedback controller is determined using the linear quadratic static output feedback (LQSOF) method, incorporating the optimal damping coefficient. The proposed algorithm was evaluated through simulations under bump scenarios with differing road roughness conditions. The simulation results demonstrated that the proposed algorithm significantly improved ride comfort compared to baseline algorithms under mixed disturbances.
An Improved Adaptive Finite-Time Super-Twisting Sliding Mode Observer for the Sensorless Control of Permanent Magnet Synchronous Motors
Authors: Luan Mingchen , Ruan Jiuhong , Zhang Yun , Yan Haitao , Wang Long
Published: October 2024

In order to improve the observation accuracy of rotor positions in the sensorless control of permanent magnet synchronous motors and to simplify the parameter adjustment process, this paper proposes an improved finite-time adaptive super-twisting sliding mode observer. First, a linear gain term is introduced into the conventional super-twisting sliding mode observer model as a way of improving the identification accuracy of the observer. Then, for the multi-parameter variable problem in the traditional observer model, a rotational speed variable function design is presented, which simplifies the multi-variables into a single adaptive variable. This reduces the complexity of the observer model while further improving the observation accuracy and stability of the improved observer algorithm (which is verified using Lyapunov’s stability theory). A new back EMF filter and an adaptive phase-locked loop are then used to improve the model’s speed tracking capability. Finally, through simulation and experimental tests, the improved algorithm’s ability to quickly observe changes in rotor position and speed, as well as its fast convergence, small jitter and high accuracy characteristics, are verified.
Efficient Long-Lasting Energy Generation Using a Linear-to-Rotary Conversion Triboelectric Nanogenerator
Authors: Shin Jaehee , Ji Sungho , Yoon Jiyoung , Kim Duck Hwan , Park Jinhyoung
Published: October 2024

Triboelectric nanogenerators (TENGs) are a viable energy-harvesting technology that can harness kinetic energy from various environmental sources. TENGs primarily utilize linear and rotational motion as their kinetic energy sources. In the contact/separation mode, the primary mode of operation for linear motion, one cycle of AC output is generated with a single push. If the output can be sustained for an extended period from a single push, the potential applications for TENGs would significantly expand. In this study, we propose an innovative Linear-to-Rotary Conversion Triboelectric Nanogenerator (LRC-TENG), which incorporates a gear structure to convert linear motion into rotational motion and employs charge pumping to achieve efficient, prolonged output. The proposed TENG can sustain AC output for 3 s with a single push. This LRC-TENG is particularly well suited for applications such as stairways requiring safety lighting at night. Utilizing the LRC-TENG, when a person steps on a stair, it can illuminate the stairway for 3 s through more than 236 LEDs, ensuring safety during nighttime walking. This solution aids in guaranteeing pedestrian safety at night.
Data-Driven Control Method Based on Koopman Operator for Suspension System of Maglev Train
Authors: Han Peichen , Xu Junqi , Rong Lijun , Wang Wen , Sun Yougang , Lin Guobin
Published: October 2024

The suspension system of the Electromagnetic Suspension (EMS) maglev train is crucial for ensuring safe operation. This article focuses on data-driven modeling and control optimization of the suspension system. By the Extended Dynamic Mode Decomposition (EDMD) method based on the Koopman theory, the state and input data of the suspension system are collected to construct a high-dimensional linearized model of the system without detailed parameters of the system, preserving the nonlinear characteristics. With the data-driven model, the LQR controller and Extended State Observer (ESO) are applied to optimize the suspension control. Compared with baseline feedback methods, the optimization control with data-driven modeling reduces the maximum system fluctuation by 75.0% in total. Furthermore, considering the high-speed operating environment and vertical dynamic response of the maglev train, a rolling-update modeling method is proposed to achieve online modeling optimization of the suspension system. The simulation results show that this method reduces the maximum fluctuation amplitude of the suspension system by 40.0% and the vibration acceleration of the vehicle body by 46.8%, achieving significant optimization of the suspension control.
Scaled Latina Enterprises in the United States of America
Authors: Pisani Michael J.
Published: October 2024

Female Hispanic-owned businesses in the United States of America or Latina enterprises are emerging as an important conduit of national economic vitality. Using data from the 2023 Stanford Latino Entrepreneurship Initiative nationally representative survey of 1513 Latina-owned employer enterprises, this article is the first to offer a national portrait and determinants of scaled Latina enterprises. Scaled businesses include the largest Latina enterprises by annual sales revenue of USD 500,000 or more. These Latina enterprises are identified as scaled or scaling and represent 23.5% of all Latina employer enterprises. A comprehensive set of enterprise and entrepreneur characteristics provides the foundation to estimate the odds of scaled Latina enterprises utilizing binomial logistic regression. Results indicate that scaled Latina entrepreneurs are relatively younger, of Mexican origin, highly educated, and acculturated compared to their non-scaled Latina counterparts. Scaled Latina enterprises are more likely to grow endogenously by reinvesting profits instead of utilizing debt financing, are larger in size and scope, and are less likely to rely upon co-ethnic enclaves.
Design and Experiment of a Crawler-Type Harvester for Red Cluster Peppers in Hilly and Mountainous Regions
Authors: Yang Jiaxuan , Qin Xinyan , Lei Jin , Lu Lijian , Zhang Jianglong , Wang Zhi
Published: October 2024

To improve the mechanization levels of red cluster pepper harvesting in hilly and mountainous regions of southwest China, a crawler-type harvester is developed to suit the local planting and growth characteristics of red cluster pepper and to facilitate mechanized picking, conveying, and collecting processes. The design, supported by theoretical calculations and structural analysis, includes detailed studies of the picking, conveying, and collecting mechanisms, as well as the hydraulic system. Factors affecting picking efficiency were identified. ADAMS simulation was used to determine the optimum rotational speed range for the spring-tooth roller by analyzing its trajectory. A prototype was then built and field tested with forward speed and the spring-tooth roller’s rotational speed as variables to assess impurity, damage, loss, and hanging rates. Data from these tests were analyzed using Design Expert software, which created a mathematical model relating the test indices to the two variables. Optimum parameters were identified, resulting in a harvester configuration that achieved an average productivity of 0.21 ha·h−1 at a forward speed of 1.75 m·s−1 and a roller rotational speed of 181 r·min−1. The impurity rate was 26.7%, the loss rate was 6.1%, the damage rate was 2.3%, and the hanging rate was 4.2%, conforming to the industry standard DG/T 114-2019. This research provides a viable solution for mechanized harvesting of red cluster pepper in hilly and mountainous regions with small planting plots.
Genome-Wide Association Studies of Agronomic and Quality Traits in Durum Wheat
Authors: Tsonev Stefan , Dragov Rangel , Taneva Krasimira , Christov Nikolai Kirilov , Bozhanova Violeta , Todorovska Elena Georgieva
Published: October 2024

Durum wheat is mainly used for products for human consumption, the quality of which depends on the content of protein and yellow pigments in the semolina. The challenges faced by modern breeding, related to population growth and climate change, imply improvement of both grain yields and quality in durum wheat germplasm well adapted to specific agro-climatic conditions. To address those challenges, a better understanding of the genetic architecture of agronomic and quality traits is needed. In the current study we used the Genome-Wide Association Study (GWAS) approach in a panel of Bulgarian and foreign genotypes to define loci controlling agronomic and quality traits in durum wheat. We mapped 26 marker traits associations (MTAs) for four of the six studied traits—grain yield, grain protein content, seed yellow colour (CIELAB b*), and plant height. The greatest number of MTAs was detected for grain yield. Seven MTAs were detected for each grain protein content and seed colour, and one MTA for plant height. Most of the reported associations had confidence intervals overlapping with already reported quantitative trait loci (QTLs). Two loci controlling grain yield were not reported previously. The MTAs reported here may be a valuable tool in future breeding for improvement of both grain yield and quality in durum wheat.
The Spatiotemporal Differentiation Characteristics and Driving Forces of Carbon Emissions from Major Livestock Farming in the Shaanxi–Gansu–Ningxia Region
Authors: Wu Hao , Shan Tongtong , Khan Hassan Saif , Dong Lin , Li Hua
Published: October 2024

Given the background of ecological fragility in western China, the northward migration of the livestock industry, and the “carbon peak” in China, it is practically significant to discuss the evolution of carbon dioxide equivalent emission intensity (CEI) in major livestock (pigs, cattle and sheep) rearing in the Shaanxi–Gansu–Ningxia (SGN) region. This discussion aims to protect the ecology of western China, achieve sustainable and healthy development of the livestock industry, and realize the national goal of “double carbon”. In this study, we utilized statistical data from 2010 to 2021 for pigs, cattle, and sheep at the municipal level in the SGN region. We applied the methodology provided by the IPCC to comprehensively measure the carbon dioxide equivalent emissions (CEs), explore spatial and temporal trends, and analyze the driving forces behind spatial variations in the intensity with the assistance of GeoDetector. The following conclusions were drawn: Firstly, the total CEs generally exhibit fluctuating and increasing patterns. Moreover, the total CEs in different cities (states) within the region show obvious variations, with a tendency to shift toward the north. Secondly, the CEI demonstrates a clear downward trend. However, the CEI in different cities (states) exhibits increasing spatial heterogeneity. Furthermore, the western part of the region is evolving toward high-value areas, while the eastern part is evolving toward low-value areas. Lastly, the results of the GeoDetector indicate that the core driving factors are the pig, cattle, and sheep rearing structure; the urban population proportion; and the per capita gross national product. In summary, the total amount of CEs demonstrates a fluctuating increase, while the intensity shows a clear downward trend. Therefore, it is recommended to reduce CEs from livestock rearing in this region by optimizing the rearing structure of pigs, cattle, and sheep, promoting low-carbon consumption, and moderately importing livestock products.
Productivity of Alternative Barley Genotypes under Variable Intraspecific Competition Resulting from Increasing Sowing Density
Authors: Nowak Rafał , Szczepanek Małgorzata , Błaszczyk Karolina , Graczyk Radomir
Published: October 2024

Sowing density and row spacing of barley affect the crop efficiency, resource use and final yield, with different genotypes likely to respond differently to this agrotechnical factor. The effect of sowing density on the barley yield, as shaped by structural yield elements such as the number of ears, number of grains per ears and thousand grain weight, depends on the interaction of this factor with the genotype and the growing conditions. Two spring barley genotypes with a black grain color (H. vulgare L. var. nigricans and H. vulgare L. var. rimpaui), differing in ear structure and affiliation to the original wild forms, were studied. Two independent, two-year field experiments were conducted in 2019–2020 and 2021–2022 at two locations with contrasting soil conditions. The effects of genotype and sowing density interactions on the yield, harvest index and structural elements of the yield were assessed. The arley yield was dependent on the interaction of genotype and sowing density but also varied by location. H. v. var. nigricans yielded better at higher densities, while H. v. var. rimpaui showed greater tillering potential at low densities. Environmental factors such as rainfall, temperature and soil composition affected the number of fertile ears, number of grains per ear and thousand grain weight.
Chemical Characterization and Biological Activity of Varronia curassavica Jacq. Essential Oil (Boraginaceae) and In Silico Testing of α-Pinene
Authors: Silva José Thyálisson da Costa , Silva Viviane Bezerra da , Silva Sabrina Bezerra da , Rocha Maria Ivaneide , Costa Adrielle Rodrigues , Silva Jailson Renato de Lima , Santos Marcos Aurélio Figueirêdo dos , Generino Maria Elizete Machado , Souza Jeovane Henrique de , Oliveira Maraiza Gregorio de , Lima Clara Mariana Gonçalves , Pereira Raimundo Luiz Silva , Santana Renata Ferreira , Araujo Isaac Moura , Morais-Braga Maria Flaviana Bezerra , Emran Talha Bin , Coutinho Henrique Douglas Melo , Almeida-Bezerra José Weverton
Published: October 2024

Multidrug-resistant bacteria have complicated the treatment of gastrointestinal diseases; their microbial resistance stems from the indiscriminate use of medications and the transfer of resistance genes. Varronia curassavica Jacq., a plant traditionally used to treat rheumatic and gastrointestinal diseases in underserved populations, has sparked interest as a potential source of antimicrobial compounds. This study aimed to investigate the chemical composition and antibacterial effects of V. curassavica essential oil and to evaluate its toxicity in Drosophila melanogaster. The essential oil was extracted through hydrodistillation and its chemical composition was determined using GC-MS. Antibacterial tests were performed with microdilution. The results showed the presence of major compounds including α-pinene and β-caryophyllene. The essential oil did not show relevant MIC, but it enhanced the effects of the antibiotics, gentamicin, norfloxacin, and oxacillin. It exhibited no toxicity and did not affect geotaxis, even at high concentrations. The in silico analysis of α-pinene revealed low toxicity; however, its permeability to the BBB shows that caution is needed in its application. These results indicate that the essential oil of V. curassavica shows promising potential in enhancing pharmaceuticals to prevent increased bacterial resistance. In addition, it demonstrated safe aspects when tested on D. melanogaster.
Analysis of Fibropapillomatosis in Roe Deer (Capreolus capreolus) Confirms High Content of Heavy Metals
Authors: Matějka Košinová Klára , Cukor Jan , Skoták Vlastimil , Linda Rostislav , Vacek Zdeněk , Bukovjan Karel , Kušta Tomáš
Published: October 2024

In recent decades, there has been an increase in European wild ungulate populations, often associated with a decline in health and spread of disease. This is true for the roe deer (Capreolus capreolus), the most common European cervid, with populations apparently affected by fibropapillomatosis, an increasingly common cancer. To date, however, there has been little research into this disease, thus many interactions remain unclear and descriptions of tumour composition are poorly validated. The main aim of the present study was to evaluate the presence and concentration of toxic heavy metals in roe deer skin tumours. Our results confirmed the presence of virtually all the metals tested for, i.e., Pb, Hg, Cd, As, Cr, Mn, Al, Co, Cu, Ni, Se, Zn, and Fe, with the highest average concentrations found for Cr (0.99 mg/kg−1 ± 2.23 SD), Cd (0.03 mg/kg−1 ± 0.03 SD), and Hg (0.02 mg/kg−1 ± 0.02 SD), exceeding FAO limits for meat from slaughtered animals. We also observed a significant positive relationship between heavy metal concentration and age, especially for Pb, As, Hg, Mn, Se, Al, Zn, and Ni. Our findings provide a strong baseline for further research on the impact of fibropapillomatosis, not only on the welfare and health status of game but also on the final consumer of venison, which in many respects is regarded as a high-quality, ecological, and renewable wild resource. While deer with this disease are not considered qualitatively or medically defective, they could represent a potential reservoir of substances toxic to humans and could affect substance levels in adjacent tissues or the animal as a whole.
Situational Analysis of Cat Ownership and Cat Caring Behaviors in a Community with High Shelter Admissions of Cats
Authors: Rand Jacquie , Scotney Rebekah , Enright Ann , Hayward Andrea , Bennett Pauleen , Morton John
Published: October 2024

Managing stray cats in urban areas is an ongoing challenge, and in Australia, many are euthanized. Most stray cats are from disadvantaged areas and are under 1 year of age. The Australian Pet Welfare Foundation intended to assess the impact of a free cat sterilization program in an area with high shelter intake of cats in the city of Ipswich, Queensland. The aims of this pre-intervention study were to undertake a situational analysis of cat ownership, semi-ownership and cat caring behaviours, and compare those in the same demographic with dog ownership and caring behaviours relating to sterilization rates, to provide a basis against which to assess the program’s effectiveness. In a sample of 343 participants from that area, 35% owned cats and 3% fed stray cats. Cats were predominantly obtained from family or friends (31%) and shelters (20%). More respondents owned dogs (53%), which were most often sourced from breeders (36%) and family acquaintances (24%). More owned cats than owned dogs were sterilized (91% versus 78%). However, only 74% of cats aged 4 to <12 months were sterilized. Cat containment practices varied, with 51% of owners containing their cat(s) at all times, and a further 18% doing so at night. These results suggest the need for community-based programs that focus on sterilizing owned and semi-owned cats, and assisting semi-owners in becoming full owners to reduce stray cat populations and associated negative impacts. This includes assistance with cat containment where vulnerable native species are present. Public understanding of the causes and effective solutions for free-roaming cats, alongside legislative changes, are required to facilitate these efforts. Assistive programs aligned with One Welfare principles are expected to benefit the wellbeing of animals, humans and their environments.
The Impact of Lighting Regimen and Feeding Program during Rearing on Hy-Line Brown Pullets at the End of Rearing and during Early Lay
Authors: Muir Wendy Isabelle , Akter Yeasmin , Kho Sebastian Kai Yi , Bruerton Kenneth , Groves Peter John
Published: October 2024

As hen body weight (BW) impacts egg weight (EW) and feed efficiency, egg producers prefer pullets of a specific size to enter the egg-laying cycle. Lighting and feeding programs were tested to achieve target Hy-Line Brown pullet BW. Three feeding programs were implemented: ad libitum (ad lib); feeding to achieve breed standard weight for age (BSW); and feeding to achieve 88% BSW (managed). The feeding programs were used with either control lighting (CL: 10 h light/d from 7 weeks of age (WOA)) or reduced lighting (RL: 9 h light/d from 4 WOA). One-hundred and fifty pullets were assigned to each feeding program by lighting treatment during rearing. At 16 WOA, 70 pullets from each treatment during rearing were moved to cages and onto ad libitum feeding under a step-up photoperiod reaching 16 h light/d at 33 WOA. The age and weight of the first egg, hen BW, feed intake (FI), egg production (EP), and EW were measured until 36 WOA. At 16 WOA, pullets reared with ad lib feeding under CL had higher BW and cumulative FI (CFI) compared to ad lib feeding under RL. The latter were the earliest to lay, and the managed pullets under CL were the last to lay. Control lighting and BSW independently generated the heaviest first eggs. At 36 WOA, BW, EW, CFI, and cumulative egg production (CEP) were highest following ad lib feeding during rearing, while rearing under CL generated higher BW and EW but lower CEP than RL. Hence, lighting and feeding programs throughout rearing can regulate pullet growth, FI, and hen performance throughout early lay.
Factors Affecting Yeast Digestibility and Immunostimulation in Aquatic Animals
Authors: Sultana Sadia , Biró Janka , Kucska Balázs , Hancz Csaba
Published: October 2024

The aquafeed industry increasingly relies on using sustainable and appropriate protein sources to ensure the long-term sustainability and financial viability of intensive aquaculture. Yeast has emerged as a viable substitute protein source in the aquaculture sector due to its potential as a nutritional supplement. A substantial body of evidence exists to suggest that yeast has the potential to act as an effective immune-stimulating agent for a range of aquaculture fish species. Furthermore, the incorporation of yeast supplements and feed additives has the potential to bolster disease prevention, development, and production within the aquaculture sector. Except for methionine, lysine, arginine, and phenylalanine, which are typically the limiting essential amino acids in various fish species, the various yeast species exhibit amino acid profiles that are advantageous when compared to fishmeal. The present review considers the potential nutritional suitability of several yeast species for fish, with particular attention to the various applications of yeast in aquaculture nutrition. The findings of this study indicate that the inclusion of yeast in the diet resulted in the most favorable outcomes, with improvements observed in the overall health, growth performance, and nutritional condition of the fish. Digestibility, a key factor in sustainable feed development, is discussed in special detail. Additionally, this review addresses the utilization of yeast as an immunostimulating agent for fish and its digestion in fish. Furthermore, the research emphasizes the necessity of large-scale production of yeast as a substitute for fishmeal in aquaculture.
Measurement of the Memory B Cell Response via Antibodies from Activated Cells
Authors: Rockstroh Caroline , Hintz Katja , Kannenberg Judith , Jassoy Christian
Published: October 2024

Background/Objectives: The body’s immune response to infections and vaccination leads to the formation of memory B cells (MBCs), which protect against future infections. MBCs circulate in the blood, and the strength of the MBC response is measured with different tests. In this study, tests to measure the MBC response were compared. Methods: An MBC enzyme-linked immunospot assay (MBC-ELISpot), which counts the antibody-releasing cells (MASCs) that arise from memory B cells in vitro, and two versions of an MBC enzyme-linked immunosorbent assay (MBC-ELISA), which measures the concentration of antibodies released by the MASCs, were compared. The lower measurement limit of MBC-ELISpot and ELISA was determined, and it was investigated how the measurement results of individual samples and in a sample of test persons correlate. Results: Both methods had similar lower limits of detection, and the antibody concentration correlated strongly with the number of MASCs in individual samples. The antibody concentrations measured on a sample correlated with Pearson correlation coefficients of R = 0.83–0.87 with the number of MASCs, and the proportion of antigen-specific antibodies in total IgG correlated with R = 0.74–0.82 with the proportion of antigen-specific MASCs in all antibody-secreting cells. Conclusions: Since the measurement sensitivity of MBC-ELISA and MBC-ELISpot is similar and the measurement results correlate strongly in a random sample, the tests are interchangeable. The MBC-ELISA has an advantage over the ELISpot in that the antibody measurements can be divided up over time, repeated, and extended. This creates new possibilities for measuring the MBC response.
NADPH Oxidase 5 (NOX5) Upregulates MMP-10 Production and Cell Migration in Human Endothelial Cells
Authors: Marqués Javier , Ainzúa Elena , Orbe Josune , Martínez-Azcona María , Martínez-González José , Zalba Guillermo
Published: October 2024

NADPH oxidases (NOXs) have been described as critical players in vascular remodeling, a mechanism modulated by matrix metalloproteinases. In this study, we describe for the first time the upregulation of MMP-10 through the activation of NOX5 in endothelial cells. In a chronic NOX5 overexpression model in human endothelial cells, MMP-10 production was measured at different levels: extracellular secretion, gene expression (mRNA and protein levels), and promoter activity. Effects on cell migration were quantified using wound healing assays. NOX5 overexpression increased MMP-10 production, favoring cell migration. In fact, NOX5 and MMP-10 silencing prevented this promigratory effect. We showed that NOX5-mediated MMP-10 upregulation involves the redox-sensitive JNK/AP-1 signaling pathway. All these NOX5-dependent effects were enhanced by angiotensin II (Ang II). Interestingly, MMP-10 protein levels were found to be increased in the hearts of NOX5-expressing mice. In conclusion, we described that NOX5-generated ROS may modulate the MMP-10 expression in endothelial cells, which leads to endothelial cell migration and may play a key role in vascular remodeling.
Synergistic Dual Targeting of Thioredoxin and Glutathione Systems Irrespective of p53 in Glioblastoma Stem Cells
Authors: Jamali Fatemeh , Lan Katherine , Daniel Paul , Petrecca Kevin , Sabri Siham , Abdulkarim Bassam
Published: October 2024

Glioblastoma (GBM) is an incurable primary brain cancer characterized by increased reactive oxygen species (ROS) production. The redox-sensitive tumor suppressor gene TP53, wild-type (wt) for 70% of patients, regulates redox homeostasis. Glioblastoma stem cells (GSCs) increase thioredoxin (Trx) and glutathione (GSH) antioxidant systems as survival redox-adaptive mechanisms to maintain ROS below the cytotoxic threshold. Auranofin, an FDA-approved anti-rheumatoid drug, inhibits thioredoxin reductase 1 (TrxR1). L-buthionine sulfoximine (L-BSO) and the natural product piperlongumine (PPL) inhibit the GSH system. We evaluated the cytotoxic effects of Auranofin alone and in combination with L-BSO or PPL in GBM cell lines and GSCs with a known TP53 status. The Cancer Genome Atlas/GBM analysis revealed a significant positive correlation between wtp53 and TrxR1 expression in GBM. Auranofin induced ROS-dependent cytotoxicity within a micromolar range in GSCs. Auranofin decreased TrxR1 expression, AKT (Ser-473) phosphorylation, and increased p53, p21, and PARP-1 apoptotic cleavage in wtp53-GSCs, while mutant-p53 was decreased in a mutant-p53 GSC line. Additionally, p53-knockdown in a wtp53-GSC line decreased TrxR1 expression and significantly increased sensitivity to Auranofin, suggesting the role of wtp53 as a negative redox-sensitive mechanism in response to Auranofin in GSCs. The combination of Auranofin and L-BSO synergistically increased ROS, decreased IC50s, and induced long-term cytotoxicity irrespective of p53 in GBM cell lines and GSCs. Intriguingly, Auranofin increased the expression of glutathione S-transferase pi-1 (GSTP-1), a target of PPL. Combining Auranofin with PPL synergistically decreased IC50s to a nanomolar range in GSCs, supporting the potential to repurpose Auranofin and PPL in GBM.
Research of Surface Materials for Children’s Household Medical Products Based on Visual and Tactile Experience
Authors: Li Nan , Wang Wei
Published: October 2024

With people’s concern for health and the development of medical technology, medical products for children are gradually appearing in pharmacies and online stores. However, the appearance of most children’s household medical products tends to meet the needs of adults, which leads to low acceptance of medical products. This study aimed to explore 10- to 16-year-old children’s visual and tactile perception of different materials by researching the relationship between the psychological quantities of visual and tactile perception and the physical quantities of the material surface. Based on the theory of kansei engineering, we measured the physical quantities of nine materials used in insulin syringe products and administered a perceptual questionnaire test for children. By correlating subjective perceptions with the physical attributes of the materials’ surfaces, we determined a strong correlation between the visual and tactile psychological properties and the properties of the materials’ surfaces. Children clearly perceive materials, and materials with lower roughness can elicit calmness, while materials with higher gloss elicit negative emotions. This paper establishes an evaluation model and provides a scientific selection method for surface materials in different children’s household medical products.
Comprehensive Survey on VLC in E-Healthcare: Channel Coding Schemes and Modulation Techniques
Authors: Guaña-Moya Javier , Román Cañizares Milton , Palacios Játiva Pablo , Sánchez Iván , Ruminot Dayana , Lobos Fernando Vergara
Published: October 2024

The integration of information and communication technologies in the field of healthcare has generated a positive transformation in the traditional way of providing patient care, optimizing medical services, and streamlining healthcare operations. Traditionally, healthcare systems have relied on radio frequency (RF) signals for data transmission. However, the conventional RF wireless network faces ever-increasing challenges, such as spectrum shortage and a congested frequency spectrum. Moreover, issues such as interference, security vulnerabilities, and potential health risks associated with prolonged exposure to RF electromagnetic radiation complicate its application in healthcare environments. To address these challenges, visible light communication (VLC) systems, which offer dual functionalities, data transmission, and illumination, have emerged as a promising complementary solution to traditional RF-based options. VLC provides secure, high-speed data communication that is immune to RF interference, making it particularly suitable for healthcare settings. This research examines the advancements in e-health systems that utilize VLC technology, considering various modulation and channel coding techniques, with a focus on evaluating the effectiveness and limitations of these techniques to determine their impact on overall performance.
Sharpness-Based Distance Detection
Authors: Jin Ying , Zhou Cangtao , Dai Wanjun
Published: October 2024

With the advancement of artificial intelligence, visual ranging has become a widely researched field. This paper introduces a novel method for distance measurement by evaluating the sharpness of objects in the current frame. It is well known that the image is sharpest at the camera’s focal point and becomes blurry when moving away from it. Leveraging this characteristic, this study utilizes sharpness to achieve distance measurement. Initially, the specific orientation of the target object is identified and located. The image area of the target object is cropped in a certain direction, and its image quality is assessed through sharpness calculation. Subsequently, the relationship between sharpness and distance values is analysed statistically, and a function curve depicting their correlation is plotted. Consequently, the distance between the target object and the detector can be determined based on sharpness with an extremely small margin of error using this method.
Experimental and FE Investigation on the Influence of Impact Load on the Moment Transmission of Smooth Shaft–Hub Connections
Authors: Härtel Markus , Le Duc Loc , Grund Thomas , Suchý Lukáš , Lampke Thomas , Hasse Alexander
Published: October 2024

A well-known phenomenon in machinery systems is the easing of a blocked connection of mechanical parts after an impact hit close to the connection. Such impact hits may also arise in shaft–hub connections such as gears, crankshafts, or other parts. The objective of this study is to investigate the influence of local impact loads on the transmittable torque of smooth shaft–hub connections. In a specially designed test rig, it was demonstrated that the transmittable torque of the shaft–hub connection is reduced as a consequence of the impact, resulting in a reduction in the frictional force and slippage of the hub. Increasing the impact load leads to an increase in the reduction in the frictional force as well as the slippage and reduces the transmittable torque. By carrying out a modal analysis of the relevant parts and FE simulations of the impact, two possible reasons have been identified: (i) the impact load excites a vibration mode in the connection which reduces the frictional force and the transmittable torque; and (ii) the impact causes local deformation of the shaft, which results in local slip.
Methodology to Detect Rail Corrugation from Vehicle On-Board Measurements by Isolating Effects from Other Sources of Excitation
Authors: De Rosa Anna , Luber Bernd , Müller Gabor , Fuchs Josef
Published: October 2024

Detecting track geometry and rail surface defects using on-board vehicle monitoring systems is a key issue for rail infrastructure managers to increase availability and reliability while reducing the costs associated with monitoring and maintenance. Rail corrugation is one of the most common rail surface defects which grows in almost all metro, conventional and high-speed lines. This paper focuses on the development of a methodology to detect rail corrugation using axle box acceleration measurements acquired on an in-service high-speed vehicle. The main purpose of the proposed methodology is to distinguish the effect of rail corrugation on the accelerations from the other excitations that can be observed in the same wavelength range. For this purpose, the accelerations are analysed by calculating the fast Fourier transform and the spectrogram. Based on the characteristics of each excitation, the effects of modes of vibration, resonances, bridges, switches, and wheel defects are identified. From the remaining effects, which have congruent characteristics, a hypothesis of rail corrugation is formulated. The hypothesis is consolidated with multibody dynamics simulations and by comparing the corrugation indicators provided by the railway infrastructure company.
Startup Sustainability Forecasting with Artificial Intelligence
Authors: Takas Nikolaos , Kouloumpris Eleftherios , Moutsianas Konstantinos , Liapis Georgios , Vlahavas Ioannis , Kousenidis Dimitrios
Published: October 2024

In recent years, we have witnessed a massive increase in the number of startups, which are also producing significant amounts of digital data. This poses a new challenge for expert analysts due to their limited attention spans and knowledge, also considering the low success rate of empirical startup evaluation. However, this new era also presents a great opportunity for the application of artificial intelligence (AI) towards intelligent startup investments. There are only a few works that have considered the potential of AI for startup recommendation, and they have not paid attention to the actual requirements of investors, also neglecting to investigate the desirability, feasibility, and value proposition of this venture. In this paper, we answer these questions by conducting a survey in collaboration with three major organizations of the Greek startup ecosystem. Furthermore, this paper also presents the design specifications for an AI-based decision support system for forecasting startup sustainability that is aligned with the requirements of expert analysts. Preliminary experiments with 44 Greek startups demonstrate Random Forest’s strong ability to predict sustainability scores.
A Character-Word Information Interaction Framework for Natural Language Understanding in Chinese Medical Dialogue Domain
Authors: Cao Pei , Yang Zhongtao , Li Xinlu , Li Yu
Published: October 2024

Natural language understanding is a foundational task in medical dialogue systems. However, there are still two key problems to be solved: (1) Multiple meanings of a word lead to ambiguity of intent; (2) character errors make slot entity extraction difficult. To solve the above problems, this paper proposes a character-word information interaction framework (CWIIF) for natural language understanding in the Chinese medical dialogue domain. The CWIIF framework contains an intent information adapter to solve the problem of intent ambiguity caused by multiple meanings of words in the intent detection task and a slot label extractor to solve the problem of difficulty in yellowslot entity extraction due to character errors in the slot filling task. The proposed framework is validated on two publicly available datasets, the Intelligent Medical Consultation System (IMCS-21) and Chinese Artificial Intelligence Speakers (CAIS). Experimental results from both datasets demonstrate that the proposed framework outperforms other baseline methods in handling Chinese medical dialogues. Notably, on the IMCS-21 dataset, precision improved by 2.42%, recall by 3.01%, and the F1 score by 2.4%.
Assessment of Musculoskeletal Loads among Office Workers Due to Predicted BMI Increase
Authors: Zadoń Hanna , Michnik Robert , Nowakowska-Lipiec Katarzyna
Published: October 2024

The increasing prevalence of adult obesity is a major global health problem. Causes include sedentary lifestyles and physical inactivity, as well as the place and style of work. This work aimed to assess the impact of an increase in BMI, resulting from a sedentary lifestyle, on the functioning of the human musculoskeletal system during daily activities. Standing and sitting down were analyzed using numerical simulations in the AnyBody Modeling System. The results showed that by 2050, an increase in body weight will lead to an 11% increase in lumbar spine loads and up to 14% increase in knee and hip joint loads compared to 2015. Increased body weight will also increase muscle fatigue, requiring the body to exert more force to perform the same activities. The BMI change prediction model shows that the average man will be overweight or obese in the coming years, which will likely increase musculoskeletal loads.