bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of the Bisphenol A exposure scale in adults
Authors: Kaplan Betül , Ortabağ Tülay , Aslan Ekrem
Published: November 2024

Objective

This study was conducted to develop a scale for assessing the attitudes of adults regarding the determination of Bisphenol A exposure.

Methods

The study sample comprised of 370 individuals who volunteered to participate. According to the Explanatory Factor Analysis (EFA) results of the investigation, a scale structure consisting of a total of 3 sub-dimensions was obtained. In the Confirmatory Factor Analysis, the scale item factor loading values were acceptable.

Results

The fit indices for the scale were CMIN/df = 1,618, RMSEA = 0.058, NFI = 0.914, CFI = 0.965, and IFI = 0.790, indicating a satisfactory level of agreement. The scale was determined to have a Cronbach value of 0.79 and a high degree of reliability. The item-total score correlation coefficients of the scale ranged from 0.327 to 0.534 and exhibited a high degree of discrimination, as determined.

Conclusion

Based on the analyses conducted, it was determined that the Adult Bisphenol A Exposure Scale is a valid and reliable instrument for determining the attitudes of adults toward contact with and use of Bisphenol A-containing products.
Adoption of artificial intelligence and machine learning in banking systems: a qualitative survey of board of directors
Authors: Eskandarany Abdullah
Published: November 2024

The aim of the paper is twofold. First to examine the role of the board of directors in facilitating the adoption of AI and ML in Saudi Arabian banking sector. Second, to explore the effectiveness of artificial intelligence and machine learning in protection of Saudi Arabian banking sector from cyberattacks. A qualitative research approach was applied using in-depth interviews with 17 board of directors from prominent Saudi Arabian banks. The present study highlights both the opportunities and challenges of integrating artificial intelligence and machine learning advanced technologies in this highly regulated industry. Findings reveal that advanced artificial intelligence and machine learning technologies offer substantial benefits, particularly in areas like threat detection, fraud prevention, and process automation, enabling banks to meet regulatory standards and mitigate cyber threats efficiently. However, the research also identifies significant barriers, including limited technological infrastructure, a lack of cohesive artificial intelligence strategies, and ethical concerns around data privacy and algorithmic bias. Interviewees emphasized the board of directors’ critical role in providing strategic direction, securing resources, and fostering partnerships with artificial intelligence technology providers. The study further highlights the importance of aligning artificial intelligence and machine learning initiatives with national development goals, such as Saudi Vision 2030, to ensure sustained growth and competitiveness. The findings from the present study offer valuable implications for policymakers in banking in navigating the complexities of artificial intelligence and machine learning adoption in financial services, particularly in emerging markets.
Multimodal driver emotion recognition using motor activity and facial expressions
Authors: Espino-Salinas Carlos H. , Luna-García Huizilopoztli , Celaya-Padilla José M. , Barría-Huidobro Cristian , Gamboa Rosales Nadia Karina , Rondon David , Villalba-Condori Klinge Orlando
Published: November 2024

Driving performance can be significantly impacted when a person experiences intense emotions behind the wheel. Research shows that emotions such as anger, sadness, agitation, and joy can increase the risk of traffic accidents. This study introduces a methodology to recognize four specific emotions using an intelligent model that processes and analyzes signals from motor activity and driver behavior, which are generated by interactions with basic driving elements, along with facial geometry images captured during emotion induction. The research applies machine learning to identify the most relevant motor activity signals for emotion recognition. Furthermore, a pre-trained Convolutional Neural Network (CNN) model is employed to extract probability vectors from images corresponding to the four emotions under investigation. These data sources are integrated through a unidimensional network for emotion classification. The main proposal of this research was to develop a multimodal intelligent model that combines motor activity signals and facial geometry images to accurately recognize four specific emotions (anger, sadness, agitation, and joy) in drivers, achieving a 96.0% accuracy in a simulated environment. The study confirmed a significant relationship between drivers' motor activity, behavior, facial geometry, and the induced emotions.
Gender differences in post-competition honesty—An experimental analysis
Authors: Giamattei Marcus , Werner Katharina
Published: November 2024

While competition is an inherent element of most market activities and immanent in many organizations, competitive incentives may bring about negative externalities, such as unethical behavior. This study examines whether competition affects subsequent honesty in an unrelated task, focusing on gender differences. Our experiment, which includes a real effort task under piece rate and competitive compensation schemes, reveals no overall treatment effects on honesty. However, competition affects men and women differently: women become more honest, while men become (insignificantly) more dishonest. This results in a gender gap in post-competition honesty and, therefore, in payoffs, highlighting the importance of carefully designing incentive schemes that consider gender-specific responses.
What matters? A global meta-analysis of environmental income and reliance determinants
Authors: Siltanu Gebretsadik Teshager , Smith-Hall Carsten , Walelign Solomon Zena
Published: November 2024

A recent body of literature has documented the importance of environmental income to rural households in the Global South. However, this literature has not been analyzed to establish which findings are robust—what determines rural households' absolute and relative environmental income? We conducted a meta-analysis using published articles that measured environmental reliance from the Web of Science, Scopus, WorldCat.org, and MPDI databases. We examined the effect of socioeconomic, demographic, and resource site proximity variables on environmental income and reliance. We applied a meta-regression approach and included moderator variables such as sample size, survey frequency, and the types of journal to control for variations in effect estimates and assess risks of biases. We analyzed 112 studies published between 1996 and 2021 that together surveyed about 52,000 households in 35 countries. The findings confirmed that environmental income matters in total household income: environment, forest, and non-timber forest product reliance were, on average, 25 ± 11%, 27 ± 16%, and 27 ± 16%. The level of reliance was moderated by region and the type of environmental products. On average, the proportions of significantly negative, positive, and statistically insignificant effect estimates were 25%, 18%, and 57%. All covariates, except distance to the resource sites, were weakly correlated with environmental income and reliance, indicating no globally robust covariates. Thus, policies and interventions should build on regional specificities.
Endometrial scratching and intralipid treatment—no general recommendations
Authors: Mrosk Paolina , Sandi-Monroy Nathallie , Gagsteiger Friedrich , Friedl Thomas Wolfram Paul , Hancke Katharina , Bundschu Karin
Published: November 2024

Objectives

Endometrial scratching (ES) and/or intravenous intralipid therapy (in cases of increased uterine natural killer cells, uNKs) are still conducted in several fertility centers as “add-on” treatments in patients undergoing ART, although convincing evidence for beneficial effects is lacking.

Study design

In this retrospective study, associations between ES treatment or additional intralipid therapy and pregnancy and live birth rates of 1,546 patients undergoing 2,821 IVF-/ICSI-treatment cycles with fresh or frozen embryo transfers in a German fertility-center between 1st January 2014 and 31th May 2017 were analyzed.

Results

Overall pregnancy and live birth rates for all 2,821 treatment cycles (468 cycles with ES) were 32.8% and 23.5%. There were no statistically significant differences in pregnancy or live birth rates between first treatment cycles with and without ES (p = 0.915 and p = 0.577) or between second cycles following an unsuccessful first cycle with and without ES (p = 0.752 and p = 0.623). These results were confirmed using multivariable generalized estimating equations (GEE) models accounting for non-independency of multiple treatment cycles per patients that included all cycles and showed no significant effect of ES on pregnancy (p = 0.449) or live birth rates (p = 0.976). Likewise, a GEE model revealed no significant effect of intralipid treatment on pregnancy (p = 0.926) and live birth rates (p = 0.727).

Conclusions

Our results reveal no evidence that ES increases the pregnancy or live birth rates in women undergoing their first or further IVF cycle with fresh or frozen embryo transfer. Intralipid treatment was also not beneficial. Even if patients explicitly ask for it, these procedures are not recommended outside of clinical studies.
Priorities for the rural water and sanitation services regulation in Latin America
Authors: Alvarez Lourdes , Vargas Laura , Jimenez Alejandro
Published: November 2024

In 2022, 65.1% of people without access to at least basic water services and 44.6% of people without access to at least basic sanitation services in Latin America and the Caribbean (LAC) lived in rural areas. Addressing the disparity of access to drinking water, sanitation and hygiene (WASH) services requires appropriate and differentiate regulation for rural areas. This paper presents the results of a research and consultation process, with more than 80 experts in governance and WASH from 14 regulators and other WASH institutions in LAC on regulatory priorities for rural areas in the region. The 11 priorities identified are related to the development of rural services governance, support to rural service providers and users’ role. These priority areas include the formalization and association of providers, the definition of specific service delivery standards for rural areas, the design of subsidies and non-economic incentives, training and technical assistance to providers, inter-institutional coordination and peer learning, information reporting, integrated management of water resources, and the promotion of user’s participation and accountability, behavioral change programmes, gender equity and an intercultural approach. While promising experiences are presented in all areas, we propose that collective action is required to transform rural WASH regulation into a supportive, collaborative and integrative function that improves quality access to sustainable and resilient WASH services in the region.
Integrating indigenous and modern water supply systems in rural South Africa
Authors: Ngema N. N. , Mbanga S. L. , Adeniran A. A. , Kabundu E.
Published: November 2024

Water is essential for human survival, economic growth, and environmental sustainability. However, rural South Africa faces ongoing challenges in delivering reliable and clean water due to infrastructural inadequacies, climate variability, and historical disparities. Addressing these water supply issues is critical for reducing poverty, improving health outcomes, and fostering sustainable development in rural areas. This study utilises a mixed-methods approach within a positivist framework, collecting data through document analysis, self-administered surveys, and structured interviews with various stakeholders across four rural settlements in the Joe Gqabi and Gert Sibande District Municipalities. The primary aims are to evaluate water accessibility and reliability, examine the impact of water scarcity on poverty, investigate the availability of water infrastructure, and assess the effects of water supply on health and education. Findings indicate that deficient water infrastructure and intermittent supply significantly disrupt daily life, educational access, and healthcare services. Health risks due to contaminated water were prevalent, leading to waterborne diseases. Socio-economic impacts included exacerbated poverty, with particular challenges for female students in maintaining menstrual hygiene due to inconsistent water availability. The study proposes a sustainability model that integrates indigenous practices, such as rainwater harvesting and groundwater recharge, with modern water management technologies. This model, customised to local needs, underscores the importance of increased investment, integrated planning, and enhanced capacity-building in rural water management. By combining traditional and modern approaches, this model aims to improve water reliability, promote health, and support economic resilience in rural settlements.
Defining barriers to food systems sustainability: a novel conceptual framework
Authors: Even Brice , Thai Hang Thi Minh , Pham Huong Thi Mai , Béné Christophe
Published: November 2024

The transformation of food systems emerges as a critical challenge necessitating a deep, holistic comprehension of the complex and multifaceted barriers that hinder progress towards sustainability. The existing literature is not consistent in identifying these barriers. Building upon existing work, this paper introduces a comprehensive, integrated, and interdisciplinary framework to dissect the nature and origins of the barriers to food system sustainability. Our framework categorizes these impediments into five domains: political economy, socio-technical, socio-cultural, biophysical, and socio-economic barriers, and highlights their intricate interplay and interconnected nature. We pinpoint the foundational role of political economy barriers as the cornerstone of a “system of barriers” that create or perpetuate unsustainability. This framework not only advances academic knowledge by providing a structured basis for analysing sustainability barriers but also serves as a practical tool for policymakers, researchers, and practitioners, to foster transdisciplinarity and develop targeted interventions. We call for further empirical research, emphasizing the need for comparative analyses, longitudinal studies, and the exploration of feedback loops and non-linear dynamics between barriers, to inform effective and sustainable food system transformation strategies.
Open surgery for carpal tunnel syndrome: is it necessary to release the antebrachial fascia? A randomized clinical trial study
Authors: Razavipour Mehran , Taheri Sadegh , Abdollahi Amirsaleh , Yahaghi Yazdan
Published: November 2024

Background

Open surgery for carpal tunnel syndrome (CTS) has historically involved release of the antebrachial fascia. The benefit of antebrachial fascia release in CTS surgery is still controversial. So, this study was designed to evaluate this hypothesis.

Methods

The study was designed as a two-arm randomized clinical trial study. Patients diagnosed with bilateral carpal tunnel syndrome were enrolled in the study, while those under 18 years of age and those with a history of carpal tunnel release, trauma to the spine, shoulder, or elbow, rheumatologic disease, inflammatory arthropathy, and CTS onset during pregnancy were excluded. The hands of the eligible patients were randomly assigned to two surgical groups. In the first group, the antebrachial fascia was opened to the proximal part, while in the second group, the fascia was opened from the central part of the deep layer to the distal volar part of the wrist. Pain severity, grip and pinch strength, symptom severity, and functional status were evaluated by the visual analog scale, the SAEHAN® hydraulic handgrip and pinch dynamometer, and the Boston Carpal Tunnel Questionnaire (BCTQ), respectively, at the baseline and 1, 3, and 6 months after surgery.

Results

Finally, 230 patients (220 women and 10 men, 460 hands) completed the study. The mean age of the patients was 50.4 ± 8.4 years. In both open surgery groups with and without antebrachial fascia release, the grip and pinch strength, BCTQ scores, and pain severity significantly improved at the end of the study (P < 0.01), but there was no statistically significant difference between the two groups (P > 0.05). Patient satisfaction improved in both groups; again, no significant difference was observed between the two groups (P > 0.05).

Conclusion

Both open CTS surgery with and without antebrachial fascia release show the same clinical and functional outcomes. Therefore, avoiding the release of the antebrachial fascia preserves proprioception and prevents iatrogenic injury to the median nerve and its branches. Conversely, a blunt release of the antebrachial fascia does not adversely affect the outcome.

Clinical Trial Registration

https://irct.behdasht.gov.ir/search/result?query=@irct_id:IRCT2012103111341N1, Identifier: IRCTID: IRCT2012103111341N1.
S100A4 targets PPP1CA/IL-17 to inhibit the senescence of sheep endometrial epithelial cells
Authors: Jiao Xiyao , Jiao Yaoxuan , Cui Jingwen , Zhang Haorui , Li Xiangyun , Chu Zhili , Wu Xinglong
Published: November 2024

Background

Gonadotropin-releasing hormone (GnRH) is commonly used in animal reproduction and production, but it was previously reported that GnRH decreases the embryo implantation rate during artificial insemination or embryo transfer in sheep. In addition to the finding that GnRH can target S100A4 to inhibit endometrial epithelial cells proliferation, it was also found that endometrial cells were in poor condition and experienced cell death in S100A4 knockout mice, but the mechanism is unclear.

Methods

The protein PPP1CA, which interacts with S100A4, was detected by immunoprecipitation-mass spectrometry of overexpression and knockdown of S100A4 and PPP1CA. The effect of S100A4 and PPP1CA on cell senescence was detected by Galactosidase staining. To further reveal the mechanism effect of S100A4 and PPP1CA on cell senescence, transcriptome sequencing was conducted. Additionally, in vivo experiments were performed to assess PPP1CA protein expression in the endometrial tissue of S100A4 knockout mice.

Results

S100A4 inhibited cell senescence by activating PPP1CA, while PPP1CA overexpression suppressed the activation of the IL-17 signaling pathway. Inhibition of the IL-17 signaling pathway inhibited the senescence of endometrial cells.

Conclusion

S100A4 can target the PPP1CA/IL-17 signaling pathway and inhibit endometrial epithelial cell senescence.
Utilising a livestock model for wildlife health planning
Authors: Patterson Stuart
Published: November 2024

Health planning provides a structure for the application of epidemiological data to managed populations with the intention of maximising health and identifying targets for intervention. Whilst this is established practice in livestock health, such schemes are rarely applied to free-living wild animal populations. The health of wildlife is important for a variety of reasons including conservation, human health, and ecosystem health, and so it is recommended that a formalised health planning approach be adopted for wildlife, based upon advantages of livestock health schemes identified here. Six key strengths of livestock herd health plans are identified in that these plans are: (1) Outcome driven, (2) Structured and repeatable, (3) They can incorporate both health and welfare considerations and in doing so, establish multidisciplinary management teams, (4) Evidence-based allowing for the prioritisation of key risk factors, (5) Encompassing of both population and individual metrics, and (6) Offer the opportunity for accreditation schemes. The benefits highlighted have implications for both wildlife management and research agendas where the structured format of the health plans will highlight knowledge gaps. Challenges are acknowledged, and it is recognised that livestock health planning cannot simply be copied across to a wildlife context. However, the strengths identified are great enough that it is recommended that wildlife population health planning is developed for active management of individual populations, learning lessons from existing plans.
High-Quality Litter and Exogenous Cellulase Enhance Soil Nutrient Cycling and Enzymatic Activities
Authors: Xiao Lulu , Zhang Yukun , Li Wenjing , Wang Nanchao , Cui Xiangchi , Xia Xiangyou
Published: November 2024

Litter decomposition is important for soil nutrient cycling, but how the quality of litter links to nutrient dynamics is still unclear. In this work, high-quality Populus alba × P. Berolinensis, widely planted in Northeast China, and low-quality maize straw were selected as samples for a comparative study. In a short-term controlled litter decomposition incubation experiment, we applied different concentrations (25 u/g and 50 u/g) of biocatalyst (cellulase) to accelerate litter decomposition. Destructive sampling was conducted at 3, 7, 14, and 28 days to examine the influence of exogenous cellulase and litter with varying C:N ratios on the stoichiometric balance of soil carbon and nitrogen contents, as well as associated enzymatic activity. Litter addition significantly increased soil nutrients. Low nitrogen limited nutrient release during the decomposition of maize straw. After treatment, the soil organic carbon (SOC), total nitrogen (TN), microbial biomass carbon (MBC), and microbial biomass nitrogen (MBN) in maize straw were 11.7%, 11.35%, 24.49%, and 39.7% lower than those in high-quality Populus alba × P. Berolinensis, respectively. Exogenous cellulase addition increased microbial biomass and β-D-glucosidase activity. The promotion of soil urease (S-UE), sucrase (S-SC), and β-D-glucosidase (S-β-GC) activities was more significant in combination with litter and exogenous cellulase. In addition, soil nutrients were directly affected by the litter C:N ratio and indirectly affected by cellulase. Overall, these results suggest that high-quality litter better facilitates soil nutrient cycling and accumulation due to its higher carbon and nitrogen release.
Effects of Foliar Application of a Lambda-Cyhalothrin Insecticide on Photosynthetic Characteristics of a Fodder Plant Malva moschata
Authors: Lang Jaroslav , Barták Miloš , Hájek Josef , Staňková Eliška , Trnková Kateřina
Published: November 2024

Recently, a large number of pesticides with different chemical structures and modes of action (MOAs) have become regularly used in agriculture. They are used to control the insect populations in various crops. Foliar application of pesticides may negatively affect crop physiology, especially photosynthesis. However, the sensitivity of particular crops, especially their primary and secondary photosynthetic processes, to insecticide application is generally unknown. Our study aimed to evaluate the negative effects of lambda-cyhalothrin (λ-CY) on photosystem II (PSII) in Malva moschata (Musk mallow). We used fast chlorophyll fluorescence transients (i.e., OJIPs) and OJIP-derived parameters, the effective quantum yield of PSII (ΦPSII), induction curves of non-photochemical quenching (NPQ) and spectral reflectance curves and indices. The recommended concentration (0.05 μM) and a 10 times higher concentration (0.5 μM) of λ-CY did not cause any negative effect on photosynthetic parameters. An overdosed foliar application (100 times higher than recommended, i.e., 50 μM) led to changes in OJIP shape; a decrease in performance index (PIABS), maximum photosynthetic yield (FV/FM) and photosynthetic electron transport (ET0/RC); and an increase in protective mechanisms (unregulated quenching, DI0/RC). These changes lasted only tens of minutes after application, after which the parameters returned to pre-application values. An overdosed λ-CY application caused more rapid activation of NPQ, indicating the early response to stress in PSII. The application of 50 μM λ-CY caused an increase in spectral reflectance above 720 nm and changes in the indices that indicated λ-CY-induced stress.
Modeling the Effects of Sowing Dates on Maize in Different Environments in the Tropical Area of Southwest China Using DSSAT
Authors: Li Wenfeng , Liu Wenrong , Huang Yue , Xiao Weihua , Xu Lei , Pan Kun , Fu Guodong , Chen Xiuyue , Li Chao
Published: November 2024

Maize yield is affected by meteorological conditions and cultivation management. Sowing date adjustment is one of the most commonly used cultivation management methods for achieving a high maize yield in the tropical area of Southwest China. This study conducted field experiments involving five maize cultivars with different sowing dates in Yunnan Province from 2012 to 2015. The parameters of the CERES model in the decision support systems for agrotechnology transfer (DSSAT) were calibrated, and its adaptability was validated. The model was applied to simulate and analyze the maize growing period and yield with different sowing dates over 12 years (2012–2023) in the tropical area of Southwest China. The results show that the DSSAT-Maize model demonstrates good adaptability in the southwestern region of China. The model predictions for maize flowering, maturity, and yield were compared with the measured values, yielding R2 values of 0.62, 0.64, and 0.92, d-index values of 0.86, 0.87, and 0.97, and normalized root-mean-square errors (nRMSE) of 4.53%, 2.92%, and 6.37%, respectively. The verified model was used to assess the effects of different sowing dates on the maize growing period and yield. Sowing between 15 May and 29 May resulted in relatively higher yields with lower coefficients of variation. The whole growing season was shortened by 1.13 days, and the yield was decreased by 3% every 7 days ahead of the sowing date before early May. A delayed planting date after June had a positive effect on maize yields, with an average yield increase of 4% per 7 days of delay. The maize yield was significantly positively correlated with rainfall during the vegetative period and solar radiation during the reproductive period; meanwhile, it was significantly negatively correlated with solar radiation and the maximum temperature during the vegetative period and rainfall during the reproductive period. This study concluded that the sowing date significantly influenced maize’s growth period and yield in the tropical area of Southwest China. Delaying sowing after 15 May can help achieve higher yields, mainly because early sowing leads to insufficient rainfall in the vegetative period, while delayed sowing ensures adequate rainfall and higher total solar radiation.
Taxonomic Revision of Ningshan Odd-Scaled Snake, Achalinus ningshanensis (Serpentes, Xenodermidae), with Description of a New Subspecies from Western China
Authors: Xu Yuhao , Ma Shun , Cai Bo , Yang Diancheng , Zhang Tianyou , Gu Tianxuan , Zhu Fengcheng , Huang Song , Peng Lifang
Published: November 2024

Achalinu ningshanensis (Yang, Huang, Jiang, Burbrink, and Huang, 2022) was first described in Ningshan County, Shaanxi Province, China in 2022, based on seven female specimens. In this study, based on phylogenetic analyses using mitochondrial 12S ribosomal RNA (12S), 16S ribosomal RNA (16S), cytochrome c oxidase subunit 1 (CO1), cytochrome b (cyt b) gene fragments, and morphological examinations of specimens, we revise the taxonomic status of A. ningshanensis, and provide additional data on this species. The molecular phylogeny indicated that A. ningshanensis is nested in a highly supported monophyletic group, forming a sister taxon to A. spinalis, and is divided into two well-supported lineages, A and B, with an uncorrected p-distance between lineages from 3.6 to 4.3% for CO1. Therefore, we proposed that Lineage B from western Sichuan and southwestern Shaanxi is a new subspecies, Achalinus ningshanensis occidentalis ssp. nov., and Lineage A from southern Shaanxi and northeastern Sichuan is allocated as Achalinus ningshanensis ningshanensis. Morphologically, the new subspecies can be distinguished from its congeners, especially from Achalinus ningshanensis ningshanensis, by the following characteristics: (1) the tail is relatively short, with a TAL/TL ratio of 0.202–0.226 in males, and 0.155–0.178 in females; (2) there are two pairs of chin-shields; (3) there are 21–22 maxillary teeth; (4) the length of the suture between internasals is significantly shorter than that between prefrontals, with an LSBI/LSBP ratio of 0.502–0.773; (5) there are six supralabials, with the fourth and fifth in contact with the eye; (6) there are five to six infralabials, and the first to third or fourth touches the first pair of chin-shields; (7) there is one hexagonal loreal, with an LorH/LorL ratio of 0.612–1.040; (8) the two anterior temporals are in contact with the eye; (9) there are 155–160 ventrals in males, and 165–174 in females; (10) there are 60–65 subcaudals in males, and 49–53 in females, which are not paired; and (11) the dorsum is iridescent and uniformly charcoal black, lacks a longitudinal vertebral line, and has a dark brown or dark gray ventral area.
Free-Hand Input and Interaction in Virtual Reality Using a Custom Force-Based Digital Thimble
Authors: Dube Tafadzwa Joseph , Arif Ahmed Sabbir
Published: November 2024

This article presents the Digital Thimble, an index-finger-wearable device designed for free-hand interactions in virtual reality (VR) by varying the touch contact force on a surface. It contains an optical mouse sensor for tracking and a pressure sensor for detecting contact force. A Fitts’ law study compared the Digital Thimble with a commercial finger mouse and a VR controller using both on-press and on-release selection methods. The results showed that the finger mouse provided higher throughput (3.11 bps) and faster speed (1258 ms) compared to the VR controller (2.89 bps; 1327 ms) and the Digital Thimble (2.61 bps; 1487 ms). Further evaluation in sorting and teleportation tasks demonstrated that the Digital Thimble delivered better accuracy and precision. Participants favored the Digital Thimble for its comfort and convenience, highlighting its potential as a user-friendly VR input device.
Rural Road Assessment Method for Sustainable Territorial Development
Authors: Sierra-Varela Leonardo , Filun-Santana Álvaro , Araya Felipe , Villegas-Flores Noé , Martinez-Soto Aner
Published: November 2024

In Latin America, initiatives have been advocated for developing rural roads that facilitate optimal conditions free from dust, mud, and noise. The criteria for assessing public investment do not align with the requirements of rural infrastructure. Indeed, in rural areas, the territorial conditions such as openness to rural–urban markets, access to education and health, environmental protection, culture, and identity are more important than transportation times or traffic volume. Hence, a multicriteria evaluation method is proposed to prioritize the rural road improvements and maximize their contribution to sustainable territorial development. The roads with the highest sustainable contribution are optimized using a multi-objective decision-making analysis and prioritized based on a Manhattan distance. In addition, a fuzzy cognitive map analyzes the dynamic behavior of the optimal roads. Based on this proposal, a case study is applied where fifteen roads are selected from a sample of 101 in the Araucanía Region, Chile. For this, 16 evaluation criteria, 27 indicators, and sustainability’s social, environmental, technical, and economic dimensions are considered. The results detect reduced one-dimensional contributions despite identifying 15 optimal roads that collectively enhance sustainability. Two roads stand out for their long-term sustainability contribution, which are influenced by economic criteria of zonal productivity, tourism, and road maintenance. Thus, this method can help public agencies rank the roads that must be the subject of development projects.
Enhancing the Digital Inheritance and Development of Chinese Intangible Cultural Heritage Paper-Cutting Through Stable Diffusion LoRA Models
Authors: Dai Mengge , Feng Yuhao , Wang Runqi , Jung Jungho
Published: November 2024

With the advent of artificial intelligence digitization, intangible cultural heritage faces challenges in preservation and transmission. Utilizing modern technology to achieve digital protection and dissemination has become a crucial issue today. This study enhances the digital inheritance and development of Chinese intangible cultural heritage paper-cutting art through generative AI technologies, specifically Diffusion and LoRA models. The Analytic Hierarchy Process (AHP) was employed to categorize the cultural value of paper-cutting, selecting four core elements: “Spring Festival”, “Chinese Zodiac”, “Women”, and “Birds and Flowers”. Based on these, eight LoRA models were developed to generate paper-cutting-style patterns (using the FLUX.1-dev and Stable Diffusion 1.5 models). In the user satisfaction assessment, the Importance–Performance Analysis (IPA) method was used to analyze four dimensions of the model experience. The results indicate that the LoRA model excels in generating detailed paper-cutting patterns and accurately reproducing cultural elements, particularly in the generation of complex Chinese character designs. User feedback suggests that the LoRA model effectively enhances the digital representation and dissemination of paper-cutting art, though there is room for improvement in terms of generation speed and ease of operation. This study provides a new technological pathway for the digital preservation of intangible cultural heritage and promotes the modernization of paper-cutting art transmission.
Prediction of Ground Subsidence Risk in Urban Centers Using Underground Characteristics Information
Authors: Lee Sungyeol , Kang Jaemo , Kim Jinyoung
Published: November 2024

Ground subsidence primarily occurs due to complex factors, such as damage to underground facilities and excavation work, and its occurrence can result in loss of life and damage to property. Therefore, factors that induce ground subsidence must be investigated to prevent accidents. This study aims to evaluate and predict the ground subsidence risk in urban centers in South Korea. To this end, a machine learning-based ground subsidence risk prediction model was constructed by utilizing data on the underground facility attribute information, permeability coefficient, stratigraphic thickness, and height. The random forest, XGBoost, and LightGBM machine learning algorithms were used to develop the prediction model, and the SMOTE sampling technique was employed to address data imbalance. The reliability of the developed model was verified using the evaluation metrics of F1-score and accuracy. The best-performing model was selected to create a risk map and visualize the areas with ground subsidence risk. The results indicate that the incorporation of additional data improves model performance and reliability. Thus, the machine learning model with various factors developed in this study offers foundational insights for the prevention and risk management of ground subsidence.
Biotechnological Advances in Vanillin Production: From Natural Vanilla to Metabolic Engineering Platforms
Authors: Tazon Arnold William , Awwad Fatima , Meddeb-Mouelhi Fatma , Desgagné-Penix Isabel
Published: November 2024

Vanillin, an aromatic aldehyde, is one of the most popular flavors worldwide, extensively used in the food, cosmetics, pharmaceutical, and agrochemical industries. Despite its widespread use, less than 1% of the total vanillin production is natural, with the majority being synthesized chemically. While chemical synthesis can help to meet the growing demand for vanillin, a strong market trend has rapidly developed for products created from natural ingredients, including natural vanillin. Given the labor-intensive process of extracting vanillin from vanilla pods, there is a critical need for new metabolic engineering platforms to support the biotechnological production of nature-identical vanillin. This review highlights the significance of vanillin in various markets, its diverse applications, and the current state of bio-engineered production using both prokaryotic and eukaryotic biological systems. Although recent advancements have demonstrated successful vanillin production through biocatalytic approaches, our focus was to provide a current and innovative overview of vanillin bioengineering across various host systems with special consideration placed on microalgae, which are emerging as promising platforms for vanillin production through metabolic engineering. The use of these systems to support the biotechnological production of vanillin, while leveraging the photosynthetic capabilities of microalgae to capture CO2 and convert it into biomass, can significantly reduce the overall carbon footprint.
Duguetia furfuracea (A.ST. Hil.) Saff.: Neuroprotective Effect on Chemically Induced Amnesia, Anxiolytic Effects and Preclinical Safety Evaluation in Mice
Authors: Fava de Souza Maiara , Maurino dos Santos Jéssica , Mariano dos Santos Sidney , Cruz de Oliveira Junior Pedro , Alberto Marangoni Faoro Janaine , Arena Arielle Cristina , Nagaoka Lívia Trippe , Gauze Gisele de Freitas , Oliveira Rodrigo Juliano , Henrique Barbim Rech Matheus , Mara Mussury Franco Silva Rosilda , Formagio Anelise Samara Nazari
Published: November 2024

Duguetia furfuracea, “araticum-seco”, is known to contain several bioactive compounds that can mitigate oxidative stress and act on the central nervous system (CNS). This effect is partly attributed to its potent antioxidant and acetylcholinesterase (AChE) inhibitors. In this study, the effects were explored of the methanolic extract (MEDF) and alkaloid fraction (AFDF) of D. furfuracea (leaves) on cognitive behaviors in male mice with scopolamine (Scop)-induced cognitive impairment and biochemical parameters. Additionally, anxiolytic behavior, subacute toxicity, molecular docking and antioxidant activity were reported. MEDF (30, 100 or 300 mg/kg) or AFDF (30 mg/kg) were orally administered for 16 days and Scop (intraperitoneally, i.p.) between days 11 and 16. The anxiolytic behavior (open field test and marble burying) in healthy mice, and the Scop-induced memory impairment (object recognition test and Morris water maze (MWM)) were assessed, and the biochemical parameters (malondialdehyde (MDA) and AChE levels) were measured after euthanasia. The subacute toxicological impact of MEDF was assessed in female Swiss mice for 28 days. MEDF and AFDF were available for the DPPH, ABTS and β-carotene/linoleic acid models. The results revealed that MEDF and AFDF exhibit anxiolytic effects and significantly alleviated Sco-induced memory impairment, inhibited AChE in the cortex (40%) and MDA (51.51%) levels. Reticuline was reported in AFDF and molecular coupling with AChE involves link-type hydrogen bonds and van der Waals interactions. MEDF exhibited antioxidant capacity (DPPH, IC50 = 18.10 ± 1.70 µg/mL; ABTS, IC50 = 10.41 ± 1.69 µg/mL). MEDF did not reveal signs of toxicity. In conclusion, D. furfuracea shows promise in mitigating scopolamine-induced memory deficits, potentially because it inhibits AChE activity, reduces MDA levels, and enhances antioxidant activities.
Repurposing Historic Drugs for Neutrophil-Mediated Inflammation in Skin Disorders
Authors: Franceschin Ludovica , Guidotti Alessia , Mazzetto Roberto , Tartaglia Jacopo , Ciolfi Christian , Alaibac Mauro , Sernicola Alvise
Published: November 2024

Neutrophil-mediated inflammation is a key feature of immune-mediated chronic skin disorders, but the mechanistic understanding of neutrophil involvement in these conditions remains incomplete. Dapsone, colchicine, and tetracyclines are established drugs within the dermatologist’s therapeutic armamentarium that are credited with potent anti-neutrophilic effects. Anti-neutrophilic drugs have established themselves as versatile agents in the treatment of a wide range of dermatological conditions. Some of these agents are approved for the management of specific dermatologic conditions, but most of their current uses are off-label and only supported by isolated reports or case series. Their anti-inflammatory and immunomodulatory properties make them particularly valuable in managing auto-immune bullous diseases, neutrophilic dermatoses, eosinophilic dermatoses, interface dermatitis, and granulomatous diseases that are the focus of this review. By inhibiting inflammatory pathways, reducing cytokine production, and modulating immune responses, they contribute significantly to the treatment and management of these complex skin conditions. Their use continues to evolve as our understanding of these diseases deepens, and they remain a cornerstone of dermatological therapy.
The Posterior Dominant Rhythm Remains Within Normal Limits in the Microgravity Environment
Authors: Kokkinos Vasileios , Koupparis Andreas M. , Fekete Tomer , Privman Eran , Avin Ofer , Almagor Ophir , Shriki Oren , Hadanny Amir
Published: November 2024

Background: Electroencephalogram (EEG) biomarkers with adequate sensitivity and specificity to reflect the brain’s health status can become indispensable for health monitoring during prolonged missions in space. The objective of our study was to assess whether the basic features of the posterior dominant rhythm (PDR) change under microgravity conditions compared to earth-based scalp EEG recordings. Methods: Three crew members during the 16-day AXIOM-1 mission to the International Space Station (ISS), underwent scalp EEG recordings before, during, and after the mission by means of a dry-electrode self-donning headgear designed to support long-term EEG recordings in space. Resting-state recordings were performed with eyes open and closed during relaxed wakefulness. The electrodes representative of EEG activity in each occipital lobe were used, and consecutive PDR oscillations were identified during periods of eye closure. In turn, cursor-based markers were placed at the negative peak of each sinusoidal wave of the PDR. Waveform averaging and time-frequency analysis were performed for all PDR samples for the respective pre-mission, mission, and post-mission EEGs. Results: No significant differences were found in the mean frequency of the PDR in any of the crew subjects between their EEG on the ISS and their pre- or post-mission EEG on ground level. The PDR oscillations varied over a ±1Hz standard deviation range. Similarly, no significant differences were found in PDR’s power spectral density. Conclusions: Our study shows that the spectral features of the PDR remain within normal limits in a short exposure to the microgravity environment, with its frequency manifesting within an acceptable ±1 Hz variation from the pre-mission mean. Further investigations for EEG features and markers reflecting the human brain neurophysiology during space missions are required.
Study on Mechanical Properties of Prefabricated Lattice Beam Joint
Authors: Gu Ren-Guo , Kang Yong-Liang , Huang Wei , Yan Zong-Xue , Fang Ying-Guang , Xu Ya-Fei
Published: November 2024

The slope protection structure of the prefabricated lattice beam is one of the most widely used and studied systems in slope structure, with the connection between the lattice beam joint and the longitudinal and transverse beams being critical for structural performance and stability in engineering applications. Because the prefabricated structure is weak in its structural integrity, it is necessary to study the influence of prefabricated lattice beam joints and the longitudinal and transverse beams on the overall mechanical properties of the structure. In this paper, one ordinary cast-in-place concrete beam and six prefabricated beams with different joint-connection modes are designed, and the influence of different connection modes on the bending capacity of the beams is accordingly explored. Moreover, the flexural capacity, bending stiffness change, ductility, and energy absorption capacity of the beams are analyzed through three-point bending test. The test results show that the connection mode at the joints could significantly affect the overall mechanical properties of the structure. By embedding holes in steel sleeves, filling cement mortar in the middle, and using steel plates with a thickness of 16 mm for anchoring treatment joints of end plates, the specimen beams are thus obtained with the same flexural capacity, ductility, and energy absorption capacity as ordinary cast-in-place concrete beams. This study provides valuable insights into optimizing connection methods for prefabricated beams, which can lead to improved structural performance and wider adoption of prefabricated structures in the construction industry.
Effect of Exposure Environment and Calcium Source on the Biologically Induced Self-Healing Phenomenon in a Cement-Based Material
Authors: Maurente-Silva Deividi Gomes , Borowski João Vitor Bitencourt , Cappellesso Vanessa Giaretton , Vainstein Marilene Henning , Masuero Angela Borges , Dal Molin Denise Carpena Coitinho
Published: November 2024

Microbially induced calcium carbonate precipitation (MICP) presents a sustainable, environmentally friendly solution for repairing cracks in cement-based materials, such as mortar and concrete. This self-healing approach mechanism enables the matrix to autonomously close its own cracks over time. In this study, specimens (50 mm in diameter and 25 mm in height) were exposed to submersion and a wet–dry cycle environment. The solution considered a nutrient-rich suspension with calcium lactate, urea, calcium nitrate, and Bacillus subtilis or Sporosarcina pasteurii in a biomineralization approach. The self-healing efficiency was assessed through optical microscopy combined with image processing, focusing on the analysis of the superficial crack closure area. S. and B. subtilis exhibited notable capabilities in effectively healing cracks, respectively, 8 mm2 and 5 mm2 at 35 days. Healing was particularly effective in samples placed in a submerged environment, especially with a 69 mM concentration of calcium lactate in bacterial suspensions containing B. subtilis, where 87.5% of a 4 mm2 crack was closed within 21 days. In contrast, free calcium ions in the solution, resulting from anhydrous cement hydration, proved ineffective for S. pasteurii biomineralization in urea-rich environments. However, the addition of an external calcium source (calcium nitrate) significantly enhanced crack closure, emphasizing the critical role of calcium availability in optimizing MICP for bio-agents in cement-based materials. These findings highlight the potential of MICP to advance sustainable self-healing concrete technologies.