bluuebunny/crossref_metadata_2025 huggingface dataset:
Challenges in institutional ethical review process and approval for international multicenter clinical studies in lower and middle-income countries: the case of PARITY study
Authors: Lopez-Baron Eliana , Abbas Qalab , Caporal Paula , Agulnik Asya , Attebery Jonah E. , Holloway Adrian , Kissoon Niranjan “Tex” , Mulgado-Aguas Celia Isabel , Amegan-Aho Kokou , Majdalani Marianne , Ocampo Carmen , Pascal Havugarurema , Miller Erika , Kanyamuhunga Aimable , Tekleab Atnafu Mekonnen , Bacha Tigist , González-Dambrauskas Sebastian , Bhutta Adnan T. , Kortz Teresa B. , Murthy Srinivas , Remy Kenneth E. ,   the Global Health Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators (PALISI) Network
Published: November 2024

Background

One of the greatest challenges to conducting multicenter research studies in low and middle-income countries (LMICs) is the heterogeneity in regulatory processes across sites. Previous studies have reported variations in requirements with a lack of standardization in the Institutional Review Board (IRB) processes between centers, imposing barriers for approval, participation, and development of multicenter research.

Objectives

To describe the regulatory process, variability and challenges faced by pediatric researchers in LMICs during the IRB process of an international multicenter observational point prevalence study (Global PARITY).

Design

A 16-question multiple-choice online survey was sent to site principal investigators (PIs) at PARITY study participating centers to explore characteristics of the IRB process, costs, and barriers to research approval. A shorter survey was employed for sites that expressed interest in participating in Global PARITY and started the approval process, but ultimately did not participate in data collection (non-participating sites) to assess IRB characteristics.

Results

Of the 91 sites that sought IRB approval, 46 were successful in obtaining approval and finishing the data collection process. The survey was completed by 46 (100%) participating centers and 21 (47%) non-participating centers. There was a significant difference between participating and non-participating sites in IRB approval of a waiver consent and in the requirement for a legal review of the protocol. The greatest challenge to research identified by non-participating sites was a lack of research time and the lack of institutional support.

Conclusions

Global collaborative research is crucial to increase our understanding of pediatric critical care conditions in hospitals of all resource-levels and IRBs are required to ensure that this research complies with ethical standards. Critical barriers restrict research activities in some resource limiting countries. Increasing the efficiency and accessibility of local IRB review could greatly impact participation of resource limited sites and enrollment of vulnerable populations.
Cerebrospinal fluid neurofilament light chain levels in children with acquired demyelinating syndrome
Authors: Wu Wenlin , Hou Chi , Wu Wenxiao , Shen Huiling , Zeng Yiru , Chen Lianfeng , Liao Yinting , Zhu Haixia , Tian Yang , Peng Bingwei , Chen Wen-Xiong , Li Xiaojing
Published: November 2024

Objective

To study the cerebrospinal fluid (CSF) neurofilament light chain (NfL) in pediatric acquired demyelinating syndrome (ADS) and its association with factors of laboratory and imaging results.

Methods

We analyzed clinical data from children with ADS collected from May 2020 to January 2021 at the Department of Neurology of Guangzhou Women and Children's Medical Center. Enzyme-linked immunosorbent assays were used to detect the CSF NfL of patients.

Results

Thirty pediatric ADS patients (17 male, 13 female) were included in the study. The most frequent diagnosis was uncategorized ADS (36.7%, 11/30), followed by acute disseminating encephalomyelitis (ADEM) (23.3%, 7/30), myelin oligodendrocyte glycoprotein antibody-associated disorder (MOGAD) (20.0%, 6/30), NMO (6.7%, 2/30), multiple sclerosis (MS) (6.7%, 2/30), and neuromyelitis optic spectrum disorders (NMOSD) (6.7%, 2/30). The median CSF NfL for the first time was 7,425.28 pg/ml (interquartile range, 1,273.51, >10,000 pg/ml). CSF NfL increase over normal value (<290.00 pg/ml for people younger than 30 years old) was seen in 98.7% of patients. Patients were divided into uncategorized ADS, ADEM, MOGAD, and MS/NMO/NMOSD groups, with no significant difference in CSF NfL between each group. The CSF NfL positively correlated with the immunoglobulin (Ig) G (ρ = 0.473) and IgE (ρ = 0.366). However, the CSF NfL did not correlate with CSF white blood count and CSF protein. Furthermore, there was no significant difference between patients with oligoclonal bands positive and without. The CSF NfL negatively correlated with interferon γ (ρ = −0.501), CD45 + CD3+ T (ρ = −0.466), CD45 + CD3 + CD4+ T (ρ = −0.466), and CD45 + CD3 + CD8+ T cells (ρ = −0.521). However, it did not correlate with CD45 + CD19+ B cells. CSF NfL in patients with cerebral white matter lesions in MRI was higher than in patients without. Moreover, the CSF NfL positively correlated with the number of brain MRI locations (ρ = 0.362). Nine patients underwent multiple detections of CSF NfL, and their CSF NfL for the last detection was not significantly different from the first.

Conclusions

The CSF NfL increases significantly in pediatric ADS, and it can be a biomarker of neuro-axonal injury and a good indication of the extent of lesions.
Thermal equilibrium as a predictor of growth efficiency in preterm infants
Authors: Heiter Julia , Konow Juliane , Koch Jochim , Singer Dominique , Ebenebe Chinedu Ulrich
Published: November 2024

Introduction

Providing adequate nutrition to preterm infants to achieve postnatal growth similar to intrauterine growth remains challenging due to the unpredictability of individual determinants.

Material and methods

We used a calculation program for infant incubators to compare the estimated heat balance with the caloric intake and growth rate in Very Low Birth Weight Infants (VLBWI).

Results and discussion

A group of 32 VLBWI was studied over a period of 14–28 days. An interrelationship between thermal equilibrium and growth rate was observed, with standardized incubator settings being unable to avoid periods of negative thermal balance and concomitantly poor growth rate.

Conclusion

Determining personalized incubator settings by means of a calculation program could help improve nutrition and growth in preterm infants.
Evaluating in vivo data for drug metabolism and transport: lessons from Kirchhoff’s Laws
Authors: Benet Leslie Z. , Sodhi Jasleen K.
Published: November 2024

Mechanistic models of hepatic clearance have been evaluated for more than 50 years, with the first author of this mini-review serving as a co-author of the first paper proposing such a model. However, published quality experimental data are only consistent with the first of these models, designated as the well-stirred model, despite the universal recognition that this model is physiologically unrepresentative of what occurs with respect to liver metabolism and transport. Within the last 3 years, our laboratory has recognized that it is possible to derive clearance equations employing the concepts of Kirchhoff’s Laws from physics, independent of the differential equation approach that has been utilized to derive reaction rates in chemistry. Here we review our published studies showing that the equation previously believed to be the well-stirred model, when hepatic basolateral transporters are not clinically relevant, is in fact the general equation for hepatic clearance when only systemic drug concentrations are measured, explaining why all experimental data fit this equation. To demonstrate that the equations deriving the mechanistic models of hepatic elimination for the past 50 years are not valid, we show that when calculating Kpuu, the ratio of unbound drug concentration in the liver to the unbound concentration of drug in the systemic circulation, for the well-stirred, parallel tube and dispersion models, Kpuu surprisingly can never exceed 1 and is a function of FH, the hepatic bioavailability following oral dosing. We believe that knowledgeable drug metabolism scientist and clinical pharmacologist will agree that this outcome is nonsensical.
The role of information and participation in overcoming users’ initial reluctance: a case study of a decentralized wastewater treatment plant
Authors: Vila-Tojo Sergio , Gómez-Román Cristina , Sabucedo Jose-Manuel
Published: November 2024

Decentralized wastewater treatment systems are a potential solution to the water crisis. However, in addition to advanced technology, successful implementation of these systems requires broad public willingness to use them. This paper presents the results of a three-phase psychosocial intervention with the users of a business building where a decentralized wastewater treatment plant was installed. The intervention, motivated by complaints from users due to their lack of knowledge about the existence of the plant, aimed at understanding and improving users’ perceptions of the building’s decentralized system. In the first phase, we conducted a focus group with a sample of workers (n = 6) to understand their knowledge and perception of the building’s decentralized wastewater treatment system. Once the main obstacles and facilitators were identified, we designed a second phase where a group of employees (n = 46) were exposed to environmental priming to improve attitudes toward the decentralized plant installed in the building. Finally, in the third phase, a bidirectional informative session was proposed, conducted by experts, to another group of workers (n = 25). Findings suggest that implementing specific psychosocial strategies, such as promoting environmental awareness and providing informative sessions, along with incorporating potential users throughout the process, contributes to better acceptance of the decentralized wastewater treatment plant. This work presents a real case in a pilot plant that can serve as a guide for addressing psychosocial resistance in similar projects.
Lower back pain amongst medical trainees in clinical rotations: implications for choosing future career regarding medical practice
Authors: Hakiranuye Samuel , Kiwanuka Frank , Asiimwe Daniel , Posti Jussi P. , Lule Herman
Published: November 2024

Background

Low back pain (LBP) is an increasing concern amongst medical students. There is a dearth of publications regarding how the occurrence of LBP impact medical trainees’ career decisions.

Objective

To determine: (i) the point and annual prevalence of LBP amongst Ugandan medical students, (ii) its associated factors, and (iii) whether the experience of LBP during clinical rotations influence medical students’ career choices regarding medical practice.

Methods

A multi-center cross-sectional study of 387 randomly selected clinical-phase students was conducted in three Ugandan medical schools, during 17th January to 10th March 2023. Proportions of participants with current and 12-months history of LBP were computed as well as odds for career prospects. We performed binary logistic regression models to determine factors associated with LBP at 95% confidence interval regarding p < 0.05 as statistically significant.

Results

The response rate was 100%. Participants’ mean age was 24.7 ± 3.2 years of which 66.2% (256/387) were males. The point and annual prevalence of LBP was 52.5% (203/387) and 66.1% (256/387) respectively. Age [OR 1.23, 95% CI (1.03–1.47), p = 0.02], time spent sitting per day [OR 1.08, 95% CI (1.06–1.3), p < 0.01], perceived influence of LBP on future medical career [OR 4.75, 95% CI (1.87–12.06), p < 0.01] were the significant predictors of LBP. LBP interrupted the students’ learning for at least 6.8 ± 12.8 h in 42.4% of participants. Nearly half of participants affirmed that their LBP experience would influence their career prospects. Based on their LBP experiences, trainees ruled out surgery 51.5% (172/334), obstetrics/gynecology 29.6% (99/334), paediatrics 18.3% (61/334), and internal medicine 17.7% (59/334) as their future career specialties. The proportion of trainees that would not consider surgical as opposed to medical disciplines were 81.1% vs. 36.0%, respectively, (p < 0.001).

Conclusion

The high prevalence of low back pain among medical students impacts their choices of future medical career with an aversion towards specialization in surgical disciplines. This has far-reaching implications on the disparities in specialist physician health workforce in Low-middle-income countries.
Nordic environmental resilience: balancing air quality and energy efficiency by applying artificial neural network
Authors: Noman Abul Ala , Rehman Faheem Ur , Khan Irfanullah , Ullah Mehran
Published: November 2024

Maintaining public health and environmental safety in the Nordic nations calls for a strict plan to define exact benchmarks on air quality and energy efficiency. This study investigates the complicated interaction of decentralized energy production (DEP) with energy efficiency, and air quality index in the Nordic nations from 1990 to 2022 using System GMM and Artificial Neural Network (ANN) approach. Our research explored positive role of decentralized energy production and technological advancement to propel notable increases in energy efficiency, hence lowering pollution expressed as PM2.5 level. Our research indicates, however, that although international trade, GDP and urbanization assist to enhance energy efficiency, they also contribute to pollution by raising PM2.5 Level by higher energy usage. Furthermore damaging to environmental quality is the persistent link shown by economic disparity and the energy price index with increased degrees of pollution and less energy efficiency. Policy frameworks must devised sustainable development policy (decentralized energy production) to significantly improve energy efficiency and lower the amount of pollution. This calls for proper urban planning and a close observation of the possible drawbacks of growing GDP, trade, economic disparity, and energy expenses.
Association between nickel exposure and diabetes risk: an updated meta-analysis of observational studies
Authors: Lu Huaye , Shi Xiaoyang , Han Lei , Liu Xin , Jiang Qingtao
Published: November 2024

Objective

The results of epidemiological studies on the association between nickel exposure and diabetes remain controversial. Therefore, an update meta-analysis was conducted to examine the association between urinary nickel levels and diabetes risk, and to focus on whether there is an association between blood nickel levels and diabetes risk.

Methods

Relevant studies were comprehensively searched from PubMed, Web of Science, and Wanfang databases from their inception to July 2024. The random-effects model was utilized to determine pooled Standard Mean Difference (SMD) and 95% confidence intervals (CIs), with stratified and sensitivity analyses also performed. Heterogeneity between studies was assessed using I2 statistic, while publication bias was evaluated using Egger's and Begg's tests. The quality of the included studies was assessed using the Newcastle-Ottawa Scale.

Results

A total of 19 studies involving 46,071 participants were included in this meta-analysis. The random-effects model indicated that the pooled SMD for nickel exposure levels in diabetic patients and non-diabetic controls were 0.16 (95% CI 0.07–0.2) for urine and 0.03 (95% CI −0.20 to 0.27) for blood, respectively.

Conclusion

It was discovered that diabetes risk was positively correlated with urinary nickel levels, whereas there was no significant correlation with blood nickel levels. Furthermore, it appeared that the association between nickel exposure and diabetes risk differ in individuals with diabetes compared to those with pre-diabetes, and that the direction of the correlation may even be reversed. In conclusion, more high-quality prospective studies are needed in order to validate these findings in future research endeavors.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO, registration number: CRD42024534139.
Attitudes towards geroprotection: measuring willingness, from lifestyle changes to drug use
Authors: Brouwers Sam J. , Janssens Georges E. , Spiegel Tali
Published: November 2024

Introduction

Geroprotection is an emerging field of research focused on devising strategies for combating the mechanisms of ageing. This study held three aims: 1) to explore the willingness to utilise five different geroprotective measures (i.e., exercise, supplements, intermittent fasting, metformin, and rapamycin use), 2) to explore whether the willingness differs based on respondents’ sociodemographic characteristics and 3) to explore the association between trust in medical institutions and willingness to utilise different geroprotective measures.

Methods

A questionnaire was used to assess the attitudes of a sample of the Dutch population by way of both convenience and snowball sampling (final N = 178). Descriptive data and bivariate correlations were used in the analyses.

Results

Relatively high social acceptance of both exercise (66%) and supplements (82%) was found, whereas intermittent fasting (30%), metformin (26%), and rapamycin (10%) were less supported. Males were significantly more likely to be open to exercise and women to supplement use. Trust in medical institutions correlated significantly with the willingness to start metformin.

Discussion

Exploratory research can only provide a first step in understanding the social acceptance of geroprotection measures. Nevertheless, this study clearly illustrates more well-known measures promoted by public health policy are also more accepted and used. Public health campaigns could consider the sex differences in the uptake of exercise and supplements, and future research may want to delve deeper into the role of facilitating trust relations between medical institutions and the public in promoting the use of geroprotective drugs.
Maillard reaction-based conjugation of pea protein and prebiotic (polydextrose): optimization, characterization, and functional properties enhancement
Authors: Khan Hina , Mudgil Priti , Alkaabi Shaikha Ali Salem , AlRashdi Yamna Hamad Salem , Maqsood Sajid
Published: November 2024

There is a growing demand for plant-based protein ingredients with improved functionality for use in diverse food and nutraceutical applications. In line with this, the current study aimed to investigate the effect of plant protein-prebiotic (polydextrose) conjugation on the techno-functional properties (emulsification, solubility, fat absorption and foaming) of pea proteins through wet heating Maillard reaction. Pea protein (PeP) was conjugated with polydextrose by incubating the mixture at various process conditions (pea protein: polydextrose mass ratios, temperature, and time). Response surface methodology coupled with Box–Behnken design was used to optimize multiple responses, including conjugation efficiency (CE), emulsifying activity (EAI), and foaming capacity (FC). The pea protein conjugate (optimized value) showed improved solubility throughout a wide pH (2–10) range and higher emulsification activity than pea protein alone. The development of conjugates (PeC) was validated through ultraviolet–visible spectroscopy, FTIR, and o-Phthaldialdehyde (OPA) assay. Browning index, FT-IR spectra, thermal properties, and scanning electron microscopy (SEM) micrographs were analyzed for the conjugate (PeC) obtained at optimized values. The FTIR spectra of the conjugates showed new peaks at 3100–3480 cm−1 and 1,000–1,166 cm−1 indicating conjugation. The Maillard conjugation increased the proportion of β-turn, random coil, accompanied by a decrease in α-helix, and β-sheet. These conformational changes were associated to the improved techno-functional properties of the pea protein upon conjugation, offering potential applications in the formulation of plant-based foods and beverages.
Toward evidence-informed policymaking in Nigeria? A systematic review of agricultural evidence syntheses
Authors: Aremu Toyib
Published: November 2024

This article studies the body of agriculture evidence synthesis in Nigeria as a basis for evidence-informed policymaking (EIPM). EIPM is seen by its advocates as an objective way of identifying problems and proffering solutions that work, given its potential to offer sound bases for choices, helping with more effective decisions, and preventing detrimental policy outcomes. Yet, according to the EIPM literature, policymakers hardly use evidence or use it to justify pre-existing beliefs. At the same time, EIPM is often criticized as being susceptible to bias, especially given the large volumes of research being published that may arrive at different conclusions. One tool that could address these challenges is research evidence syntheses, known to be objective and rigorous, although there is a gap in knowledge on whether they are produced in ways that make them easily usable by decision makers. To bridge this knowledge gap, this study develops an analytical framework from the literature on facilitators and barriers of scientific evidence use to analyze existing agriculture-based evidence syntheses in Nigeria. The analytical framework was used to analyse and identify gaps in these syntheses that may limit their use by decision makers. Based on pre-defined search criteria, we find 19 relevant syntheses which are more qualitative and useful in defining policy-relevant problems; however, they mostly do not provide quotable economic statistics, solutions to address the problems identified, or implementation strategies. Given the currently limited number of evidence syntheses, especially those evaluating effectiveness of policy solutions, stakeholders interested in strengthening EIPM in Nigeria could facilitate collaborations between policymakers and researchers to popularize policy-relevant evidence synthesis and ensure such are made available and accessible to users in timely and usable formats.
Milk contamination in Europe under anticipated climate change scenarios
Authors: Katsini Lydia , Bhonsale Satyajeet S. , Roufou Styliani , Griffin Sholeem , Valdramidis Vasilis , Akkermans Simen , Polanska Monika , Van Impe Jan F. M.
Published: November 2024

Transforming the food system while addressing climate change requires proactive measures based on quantitative projections of anticipated future conditions. A key component of the food system that must be considered during this transformation is food safety, which is the focus of this paper. Milk safety has been selected as a case study. Future milk contamination levels in Europe, in terms of total bacterial counts, are evaluated under various climate change scenarios. Projections from multiple climate models are integrated into a data-driven milk contamination model, validated using data from Malta, Spain, and Belgium. The modeling framework accounts for variability among dairy farms and the inherent uncertainties in climate projections. Results are presented through geographical heatmaps, highlighting coastal and southern areas such as Portugal, Western Spain, Southern Italy, and Western France as regions expected to face the highest bacterial counts. The analysis underlines the significant roles of humidity and wind speed, alongside temperature. It also examines compliance with the regulatory threshold for raw milk, revealing an increased frequency of summer weeks exceeding the threshold of 100,000 colony-forming units. Based on this analysis, regions are classified into low-risk, high-risk, and emerging-risk categories. This classification can guide the selection of farm strategies aimed at meeting future food safety standards. By informing these decisions with the anticipated impacts of climate change, the food system can be future-proofed.
Expression profiles of circulating miRNAs in an endangered Piedmontese sheep breed during the estrus cycle
Authors: Manenti Isabella , Ala Ugo , Macchi Elisabetta , Viola Irene , Toschi Paola , Accornero Paolo , Baratta Mario , Miretti Silvia , Martignani Eugenio
Published: November 2024

Introduction

The preservation of locally endangered breeds is essential for maintaining ecosystem services that benefit both society and the environment. Reproductive fitness becomes a crucial consideration in this context. MicroRNAs (miRNAs) are small non-coding RNA molecules that play a key role in post-transcriptional regulation. Typically, they function within the tissues where they are produced. However, when they are released into extracellular fluid, they are referred to as circulating miRNAs (c-miRNAs). C-miRNAs may serve as potential biomarkers, whose profile changes under different physiological states. The purpose of this study is to establish a connection between distinctive variations in the expression of c-miRNAs and specific estrus cycle phases in Frabosana-Roaschina sheep, an endangered Piedmontese breed.

Methods

Two trials, each involving 20 ewes with different reproductive efficiencies (nulliparous in the first trial and pluriparous in the second trial), were sampled on alternate days after synchronization for blood, saliva, and feces. Ultrasound scans were performed during the induced estrus cycle. The animals’ behaviors were assessed through video recordings.

Results

In the first trial, play behaviors were detected without sexual behaviors, whereas in the second trial, sexual behaviors were observed without play behaviors. Based on plasma trends of 17β-estradiol and progesterone and ultrasound images, two moments were identified for miRNAs analyses: the beginning of the follicular phase (day 2) and the beginning of the luteal phase (day 11). C-miRNAs of six representative animals from the second trial were sequenced. Analyses of the sequencing data have identified 12 c-miRNAs that were differentially expressed (DE) when comparing day 11 with day 2: five miRNAs were found to be upregulated, whereas seven miRNAs were downregulated. An enrichment analysis, based on predicted targets, using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) databases was performed. Many of these genes regulate reproductive pathways with the possible involvement of miRNAs. Finally, qRT-PCR was conducted to validate the DE miRNAs in all ewes. Differences in gene expression between the two sampling points and the two trials were observed, in line with existing literature.

Discussion

Investigating the role of these miRNAs in regulating estrus could improve the reproductive performance and welfare of Frabosana-Roaschina ewes.
Attack Reconstruction and Attack-Resilient Consensus Control for Fuzzy Markovian Jump Multi-Agent Systems
Authors: Li Yunji , Wu Yajun , Gao Yi , Wei Meng , Hua Ziyan , Chen Junjie
Published: November 2024

Driven by the rapid development of modern industrial applications, multi-agent systems (MASs), integrating computational and physical resources, have become increasingly important in recent years. However, the performance of MASs can be easily compromised by malicious false data injection attacks (FDIAs) due to the inherent vulnerability of the cyber layer. This work focuses on an event-triggered framework for secure reconstruction and consensus control in MASs subject to both sensor and actuator attacks. First, we introduce a class of Takagi–Sugeno fuzzy multi-agent systems that relax the traditional Lipschitz condition and incorporate realistic system dynamics by considering parameter variations governed by Markovian jump principles. Second, an adaptive fuzzy estimator is developed for the simultaneous reconstruction of states and attacks in MASs. The derived estimates are utilized to design an attack-resilient consensus control strategy that compensates for the effects of FDIAs on the closed-loop consensus error dynamics. Meanwhile, the sufficient conditions for the convergence of both estimation and consensus errors are presented and rigorously proved. Finally, evaluation results on an experimental platform through multiple truck-trailer systems are provided to demonstrate the effectiveness and performance of the proposed approach.
Lessons from Team Entrepreneurship Research for General Entrepreneurship Theory
Authors: Hühn Matthias P. , Davis Zachary G.
Published: November 2024

This paper suggests that the theory of entrepreneurship needs to be amended. This paper first shows how the phenomenon of entrepreneurial teams has become established in practice and in the literature. Then the axioms of entrepreneurship theory are discussed. This paper (with a literature review and GEM data) argues that there is an inconsistency within entrepreneurship theory: in order not to have to change the axioms of entrepreneurship theory, entrepreneurial teams were assumed to consist of individual entrepreneurs. This paper explains how that impedes advances in theory development and suggests a new taxonomy of entrepreneurs: the individual entrepreneur, the individual entrepreneur in a team, and a socially minded true team entrepreneur.
Transcriptome-Based Revelation of the Effects of Sleep Deprivation on Hepatic Metabolic Rhythms in Tibetan Sheep (Ovis aries)
Authors: Chen Ya-Le , Wang Ru , Pang Rui , Sun Zhi-Peng , He Xiao-Long , Tang Wen-Hui , Ou Jing-Yu , Yi Huan-Ming , Cheng Xiao , Chen Jia-Hong , Yu Yang , Ren Chun-Huan , Wang Qiang-Jun , Zhang Zi-Jun
Published: November 2024

Sleep deprivation (SD) disrupts circadian rhythms; however, its effects on SD and the mechanisms involved require further investigation. Previous studies on SD were mainly conducted on rodents, such as mice, with few studies on its effects on the liver of large diurnal animals, such as sheep. In this study, we used a Tibetan sheep model for the first time to investigate the effects of SD on the liver by exposing Tibetan sheep (Ovis aries) to 7 days of SD (6 h/day) and performed transcriptome sequencing analysis on liver samples taken at 4 h intervals over 24 h. The results revealed that SD significantly altered the circadian expression of genes and their expression patterns in the liver of Tibetan sheep. Enrichment analysis of the circadian rhythm-altered genes revealed changes in the pathways related to lipid metabolism in the liver. Further evidence from serum markers and gene expression analyses using qualitative real-time polymerase chain reaction and Oil Red O and apoptosis staining indicated that SD leads to abnormal lipid metabolism in the liver, potentially causing liver damage. Therefore, our results suggest that SD disrupts the circadian rhythms of metabolism-related genes in the Tibetan sheep liver, thereby affecting metabolic homeostasis.
Potential Therapeutic Targets for Combination Antibody Therapy Against Staphylococcus aureus Infections
Authors: Ke Sharon , Kil Hyein , Roggy Conner , Shields Ty , Quinn Zachary , Quinn Alyssa P. , Small James M. , Towne Francina D. , Brooks Amanda E. , Brooks Benjamin D.
Published: November 2024

Despite the significant advances in antibiotic treatments and therapeutics, Staphylococcus aureus (S. aureus) remains a formidable pathogen, primarily due to its rapid acquisition of antibiotic resistance. Known for its array of virulence factors, including surface proteins that promote adhesion to host tissues, enzymes that break down host barriers, and toxins that contribute to immune evasion and tissue destruction, S. aureus poses a serious health threat. Both the Centers for Disease Control and Prevention (CDC) and the World Health Organization (WHO) classify S. aureus as an ESKAPE pathogen, recognizing it as a critical threat to global health. The increasing prevalence of drug-resistant S. aureus underscores the need for new therapeutic strategies. This review discusses a promising approach that combines monoclonal antibodies targeting multiple S. aureus epitopes, offering synergistic efficacy in treating infections. Such strategies aim to reduce the capacity of the pathogen to develop resistance, presenting a potent adjunct or alternative to conventional antibiotic treatments.
Dependence of Thermal Conductivity on Size and Specific Surface Area for Different Based CoFe2O4 Cluster Nanofluids
Authors: Vallejo Javier P. , Elsaidy Amir , Lugo Luis
Published: November 2024

Enhancing the thermal conductivity of fluids by using nanoparticles with outstanding thermophysical properties has acquired significant attention for heat-transfer applications. Nanofluids have the potential to optimize energy systems by improving heat-transfer efficiency. In this study, cobalt ferrite nanoparticles clusters with controlled mean sizes ranging from 97 to 192 nm were synthesized using a solvothermal method to develop novel nanofluids with enhanced thermal conductivity. These clusters were comprehensively characterized using transmission electron microscopy, X-ray diffraction, Raman spectroscopy, vibrating-sample magnetometry, and nitrogen physisorption. The CoFe2O4 cluster nanofluids were prepared using the two-step method with various base fluids (water, propylene glycol, and a mixture of both). Dynamic light scattering analyses of the average Z-size of the dispersed nanoadditives over time revealed that the stability of the dispersions is influenced by cluster size and the proportion of glycol in the base fluid. The thermal conductivity of the base fluid and nine different 0.5 wt% CoFe2O4 cluster nanofluids was measured using the transient hot wire method at temperatures of 293.15, 303.15, and 313.15 K, showing different temperature dependencies. The study also explores the relationships between the thermal conductivity, cluster size, and specific surface area of the nanoadditives. A maximum thermal conductivity enhancement of 4.2% was reported for the 0.5 wt% nanofluid based on propylene glycol containing 97 nm CoFe2O4 clusters. The findings suggest that the specific surface area of nanostructures is a more relevant parameter than size for describing improvements in thermal conductivity.
Research on the Prediction of Drilling Rate in Geological Core Drilling Based on the BP Neural Network
Authors: Gong Da , Zu Yutong , Zhou Zheng , Jia Mingrang , Liu Jiachen , Hu Yuanbiao
Published: November 2024

The development of automation and intelligence in geological core drilling is not yet mature. The selection and improvement of drilling parameters rely mainly on experience, and adjustments are often made after drilling by evaluating the core, which introduces a lag and reduces the drilling efficiency. Therefore, this study first establishes a geological core drilling experiment platform to collect drilling data. Through the constructed geological core drilling experimental platform, the practical data at the drill bit can be directly obtained, solving the problem of the data from the surface equipment in the practical drilling differing from the practical data. Second, the back propagation (BP) algorithm is used to perform the ROP prediction, with weight on bit (WOB), torque (TOR), flow rate (Q), and rotation speed (RPM) as input parameters, and rate of penetration (ROP) as the output. Subsequently, correlation analysis is used to perform the feature parameter optimization, and the effects of bit wear and bit cutting depth on the experiment are considered. Finally, comparison with algorithms such as ridge regression, SVM and KNN shows that the ROP prediction model using the BP neural network has the highest prediction accuracy of 94.1%. The results provide a reference for ROP prediction and the automation of geological core drilling rigs.
Biomimetic Capabilities of Lithium Disilicate Glass-Ceramic Restorations on Posterior Teeth: Evaluation of the Long-Term Survival Rate—A 10-Year Follow-Up
Authors: Gusiyska Angela , Dimova-Gabrovska Mariana , Nikolova Nikoleta
Published: November 2024

In contemporary dental practice, clinicians have a variety of materials and options for restoring single teeth compromised by carious or non-carious diseases. According to studies and new concepts in biomimetic restorative dentistry, indirect ceramic restorations will play an increasingly important role in daily practice. We follow up and evaluate clinically three times over a 10-year period on eighty-six indirect restorations (n = 86) of lithium disilicate e.Max Press (Ivoclar, Schaan, Liechtenstein) in 32 patients. Restorations are evaluated in the 2nd, 5th, and 10th years after the fixation. Four of the restorations studied (n = 86) had to be replaced at year 5 follow-up because of fracture (failure rate: 4.65%; Kaplan–Maier). There are no restorations with bulky, cohesive fractures. Lithium disilicate ceramic restorations provide a good treatment alternative for a 5- to 10-year period of observation, and they can be successfully applied in dental practice in 91.73% to 98.84% of cases. Advancements in digital dentistry, including the use of intraoral scanners and CAD/CAM technology, are set to further refine the precision and efficiency of indirect restorations for distal teeth, enabling quicker turnaround times and improved fit. Additionally, ongoing developments in biomaterials promise to enhance the durability and biocompatibility of these restorations, potentially leading to better long-term success rates and patient satisfaction. The goal of this clinical study was to look at how well biomimetic ceramic overlays and onlays made of lithium disilicate held onto teeth with a IV-generation adhesive system for 10 years. The study also looked at how well the edges of the teeth adjusted and how strong the teeth were overall.
Multi-Sensor Photoelectric Fire Alarm Device Implementation for Early Fire Detection in Campsites
Authors: Choi Wonjun , Jung Im Y.
Published: November 2024

With the growing popularity of leisure activities such as camping and glamping, the incidence of fires at camping sites has increased. This study focuses on improving the effectiveness of photoelectric fire alarm devices by incorporating temperature and humidity data for early fire detection in confined spaces, such as campsites. This study proposes a novel multi-sensor fire alarm system that dynamically adjusts fire detection threshold values based on temperature and humidity data collected by unmanned automatic weather observation systems. The prototype, which was implemented using Raspberry Pi and multiple sensors, demonstrated approximately 20% faster fire detection speed than existing photoelectric fire alarm systems, as verified through experiments in a simulated camping environment. The proposed approach is expected to advance fire alarm systems, enabling faster and more accurate fire detection in diverse environments, particularly at campsites.
Parallel Simulations of the Sharp Wave-Ripples of the Hippocampus on Multicore CPUs and GPUs
Authors: Torti Emanuele , Migliazza Simone , Marenzi Elisa , Danese Giovanni , Leporati Francesco
Published: November 2024

The simulation of realistic systems plays a crucial role in modern sciences. Complex organs such as the brain can be described by mathematical models to reproduce biological behaviors. In the brain, the hippocampus is a critical region for memory and learning. In the literature, a model to reproduce the memory consolidation mechanism has been proposed. This model exhibits a high degree of biological realism, though it is accompanied by a significant increase in computational complexity. This paper proposes the development of parallel simulation targeting different devices, namely multicore CPUs and GPUs. The experiments highlighted that the biological realism is maintained, together with a significant decrease of the processing times. Finally, the conducted analysis highlights that the GPU is one of the most suitable technologies for this kind of simulation.
Additional Taxi-Out Time Prediction for Flights at Busy Airports by Fusing Flow Control Information
Authors: Yuan Ligang , Liu Jing , Chen Haiyan
Published: November 2024

The taxi-out time of an airport scene can be categorized into the unimpeded taxi-out time and the additional taxi-out time. Usually, additional taxi-out time is used as a key index to monitor taxi-out performance, and its accurate prediction plays an important role in optimizing the allocation of time slots at an airport and improving scene operation efficiency. Taking Shanghai Pudong International Airport as the research object, we first analyze its layout and construct the origin–destination pairs (ODPs) based on the stand groups and runways. Then, we develop a multiple linear regression model based on the arrival and departure flows to calculate the unimpeded taxi-out times for all ODPs. The actual taxi-out time is then subtracted from the unimpeded taxi-out time to obtain the historical additional taxi-out time of each flight. We propose three new flow features related to the structure: the corridor departure flow, the corridor arrival flow, and the departure flow proportion of ODPs, based on which we construct a dataset for training the prediction model. We then propose an additional taxi-out time prediction model based on the nutcracker optimization algorithm (NOA) and XGBoost and run comparison experiments on the operation data of our target airport. The results show that the optimized prediction model we proposed has the best performance compared with the traditional XGBoost model and other commonly used prediction models, and the proposed structure-related features have high correlations with additional taxi-out time.
Synthesis, Structure, and In Vitro Biological Evaluation of Semi-Synthetic Derivatives of Betulin
Authors: Chrobak Elwira , Świtalska Marta , Wietrzyk Joanna , Bębenek Ewa
Published: November 2024

Betulin and α-lipoic acid are naturally occurring substances with different biological properties. Combining two phytochemical units into a conjugate is a frequently used method to obtain new compounds with better pharmacokinetic parameters. This research concerned the preparation of lipoate derivatives of betulin using the Steglich method. Experimental lipophilicity values were determined for target compounds 6–10 by reversed-phase thin-layer chromatography. In silico methods were used to calculate the physicochemical parameters and lipophilicity of new derivatives and to determine the probable directions of biological activity. α-Lipoic acid, betulin, and lipoate derivatives 6–10 were tested for antiproliferative activity against MV4-11, A549, MCF-7, PC-3, HCT116, MiaPaca-2, and Hs294T cancer cells. 3-(5-(1,2-Dithiolan-3-yl)pentanoyl))betulin 10 showed moderate anticancer activity against MV4-11, PC-3, and HCT116, with IC50 values in the range of 39.8–76.7 µM. The introduction of a dithiolate substituent at the C3 position in 28-acetylbetulin gave compound 9 the highest activity (IC50 = 37.9 µM), in the ratio of biphenotypic B myelomonocytic leukemia cells (MV4-11). All lipoate derivatives were inactive towards normal cells.
Reliability Assessment of Power Distribution Cyber–Physical Systems Considering the Impact of Wireless Access Networks
Authors: Lu Changyue , Zheng Siguang , Dai Xiaoran , Wu Xiaoyan
Published: November 2024

With the rapid increase in the number of various terminal devices in distribution systems, the important impact of communication networks on power supply reliability in cyber–physical distribution systems (CPDSs) is becoming increasingly prominent. The traditional wired communication method makes it difficult to meet the demand in some scenarios due to high cost and construction difficulty. For this reason, this study evaluated the reliability of power distribution cyber–physical systems, considering fifth-generation (5G) mobile communication technology wireless access conditions. First, a reliability model of a communication channel in a 5G communication network was established, and the indirect impact of information system failure on the power distribution system was analyzed. Secondly, a reliability assessment method based on the improved least path method was devised by combining switch action failure, self-healing processing, and load transfer. The simulation results show that 5G communication technology has significant advantages in improving system reliability, and the proposed method is closer to the development direction of future power distribution systems, which provides an effective reference basis for the optimized operation of power distribution cyber–physical systems.
ALMO: Active Learning-Based Multi-Objective Optimization for Accelerating Constrained Evolutionary Algorithms
Authors: Singh Karanpreet , Kapania Rakesh K.
Published: November 2024

In multi-objective optimization, standard evolutionary algorithms, such as NSGA-II, are computationally expensive, particularly when handling complex constraints. Constraint evaluations, often the bottleneck, require substantial resources. Pre-trained surrogate models have been used to improve computational efficiency, but they often rely heavily on the model’s accuracy and require large datasets. In this study, we use active learning to accelerate multi-objective optimization. Active learning is a machine learning approach that selects the most informative data points to reduce the computational cost of labeling data. It is employed in this study to reduce the number of constraint evaluations during optimization by dynamically querying new data points only when the model is uncertain. Incorporating machine learning into this framework allows the optimization process to focus on critical areas of the search space adaptively, leveraging predictive models to guide the algorithm. This reduces computational overhead and marks a significant advancement in using machine learning to enhance the efficiency and scalability of multi-objective optimization tasks. This method is applied to six challenging benchmark problems and demonstrates more than a 50% reduction in constraint evaluations, with varying savings across different problems. This adaptive approach significantly enhances the computational efficiency of multi-objective optimization without requiring pre-trained models.
Impacting Elements of Metaverse Platforms’ Intentional Use in Cultural Education: Empirical Data Drawn from UTAUT, TTF, and Flow Theory
Authors: Hu Shan , Xing Geqi , Xin Jing
Published: November 2024

This study aims to address the need for design guidelines in developing a cultural-heritage-based metaverse educational system. Using the UTAUT, the TTF model, and Flow Theory, a theoretical framework is constructed. Through qualitative research based on the GT, three user perception factors—presence, interactivity, and narrativity—are introduced as external variables to explore the relationship between these factors and users’ willingness to adopt the cultural heritage metaverse system. The study examines this relationship from the dual perspectives of user perception and technology acceptance. A scale was designed to test the theoretical model empirically, and 298 valid responses were collected through a structured process involving GT coding, pre-testing, and formal surveys. The findings indicate that interactivity, narrativity, and presence significantly enhance the flow experience, while factors such as performance expectancy, effort expectancy, social influence, facilitating conditions, technology–task fit, and flow positively influence users’ intention to adopt the system. Among these, technology–task fit emerged as the most influential factor. This integrated approach reduces subjectivity and bias in criteria determination, enhancing the objectivity and precision of cultural heritage metaverse system assessments and making the system more responsive to user needs.