bluuebunny/crossref_metadata_2025_split huggingface dataset:
Molecular structure and interactions of the flavonols, quercetin, fisetin, kaempferol, and myricetin, with liposomal membranes
Authors: Veiko Artem G. , Sekowski Szymon , Olchowik-Grabarek Ewa , Wilczewska Agnieszka Z. , Dobrzyńska Izabela , Roszkowska Anna , Lapshina Elena A. , Zamaraeva Maria , Zavodnik Ilya B. 
Published: June 2024

Abstract

The interactions of flavonols with biological membranes underlie their beneficial biochemical effects. In the present work, we performed quantum chemical modeling of the molecular structure and electronic characteristics of some flavonols such as fisetin, kaempferol, and myricetin and compared our findings with those for quercetin obtained earlier. We considered the effects of the flavonols on liposomal membranes, using the methods of fluorescence probe spectroscopy, an electric-kinetical method and differential scanning calorimetry. The AC and B rings in the molecules of all the flavonols studied were located in the same plane. All the flavonols (5–25µM) increased the lipid bilayer order both in the surface zone and the hydrophobic area of the membrane. Quercetin was more effective in changing the liposomal membrane mobility and fisetin modulated markedly the thermotropic behavior of the membrane. Myricetin was located predominantly in the surface zone, whereas quercetin penetrated into the deeper zone of the bilayer. Using the fluorescent probe Laurdan we showed that all the flavonols studied increased the hydration of the lipid bilayer. The incorporation of effector molecules into the liposomal membrane bilayer resulted in an increase in the absolute value of zeta potential and induced an increase in the liposomal diameter. Destabilization and enhanced heterogeneity of liposomal membranes in the presence of all the flavonols studied were revealed.
Toward Iran's health system regionalization: a qualitative approach.
Authors: Eskandarian Mohamad , Raeisi Ahmadreza , Ferdosi Masoud , Golzari Mojtaba 
Published: June 2024

Abstract

Background:Regionalized health systems are expected to provide an integrated chain of services for a defined population. However, developing such systems is possible only through alignment across policy, administrative/coordinative, and operational levels. The present study aimed to identify the requirements for such alignment among various levels of Iran's health system.Methods: This qualitative study was conducted with experts in related departments of the Ministry of Health and Medical Education in Iran and selected universities over 5 months in 2023-2024. Fifteen semi-structured interviews were conducted with policymakers and academic experts to collect the study data. The data were grouped into three themes based on thematic content analysis using the MAXQDA software.Results:Three main categories of requirements for developing regionalized health systems, encompassing policy, administrative/ coordinative, and operational levels, and 23 sub-themes, were extracted. Like other hierarchical health systems, the country's health system faces fundamental challenges due to insufficient organizational infrastructure, which hinders its transition into an integrated healthcare management system.Conclusions: Given the legal obligations imposed on the Ministry of Health and Medical Education to establish an integrated regionalized health system and the failure of the relevant initiatives, it is critical to develop the essential infrastructural requirementsacross levels to achieve this goal.
Plausible Efficacy of COVID-19 Vaccination against Covid-like Symptoms in Nigeria: A Cross-sectional Study.
Authors: Osibogun Akin , Shuaib Faisal , Odusolu Yetunde , Okposen Bassey , Osibogun Opeyemi , Akanmu Sulaimon , Mohammed Abdullahi , Yahya Shuaib , Akande Tanimola , Aliyu Alhaji , Ifeadike Chigozie , Akande Aderonke , Aigbokhaode Adesuwa , Adebiyi Akin , Tobin-West Charles , Olatunya Oladele , Aguwa Emmanuel , Danjuma Garba , Dika Joseph , Nwosu Augustina , Olubodun Tope , Oladunjoye Adebimpe , Giwa Opeyemi 
Published: June 2024

Abstract

Background:
Vaccination strengthens the immune system by using the body’s intrinsic defense mechanisms to enhance resistance to notable or specific disease agents. A cross-sectional community-based study comparing the occurrence of Covid-like symptoms among individuals earlier vaccinated or unvaccinated against Covid-19 using all the four different vaccine types administered in Nigeria. Given that Sub-Sahara Africans were not included in the vaccine clinical trials before Emergency Use Authorization, this study could provide indirect evidence on the effectiveness or otherwise of the vaccines among Nigerians.
Methods: A cross-sectional community-based study of prevalence of covid like symptoms reported in subjects who had received any of the Covid-19 vaccine types deployed in Nigeria compared with subjects who had not received any of the vaccines in the six geo political zones of the country. A multi-stage sampling technique was used to select 24 Local government Areas from all six (6) geopolitical zones of the country.
Results: Lesser proportion of subjects who had received any of the COVID-19 vaccines reported experiencing symptoms such as headaches, muscle, joint aches, fatigue, fever, sore throat, cough, and chills in the preceding 3 months to the survey as compared to subjects who had not received any of the vaccines. These observed differences were statistically significant, (p<0.05).
Conclusion: The COVID-19 vaccines would appear protective against the symptoms of interest based on these findings. The reduction in the proportions reporting symptoms for the different types of vaccine are invariably similar therefore vaccine recipients can be encouraged to receive any brand to curb the pandemic.
Environmental Regulation and Financial Motivations: Analyzing the Impact of Firm Financialization on Green Innovation
Authors: Hao Liangfeng , Zhao Yongmeng , Deng Biyi 
Published: June 2024

Abstract

This study develops a unified theoretical model that integrates environmental regulations, firm financialization, and green innovation. We utilize the increased pollution discharge fees in China as a quasi-natural experiment to assess the impact of environmental regulation. Our findings indicate that higher pollution discharge fees enhance both the quantity and quality of green patents. We identify an inverted U-shaped relationship between firm financialization and the quantity of green patents, where financialization initially promotes but subsequently weakens the enhancement of green patent quality. Further analysis reveals that increased pollution fees intensify firms' financialization tendencies. We discover that risk aversion motivation, by easing financial constraints, significantly boosts the quantity and quality of green patents. In contrast, speculative motivation tends to displace physical investment, negatively affecting green patent outcomes. Additionally, our results suggest that financial technology might substitute for traditional firm financialization practices, and that robust financial regulation can curb financialization to foster green innovation. Cities employing market-controlled policy tools appear more affected by financialization investment impacts.
A range-based distributed node localization algorithm inspired by nature
Authors: 曹 群丹 , 余 修武 , 刘 永 
Published: June 2024

Abstract

Wireless sensor network is a distributed communication transmission network in which nodes perceive the environment by transmitting information through atively. The main function of the sensor node is to collect the data information in the surrounding environment. If the location of the node is unknown, the monitored data will lose its meaning. According to whether additional hardware or equipment is needed to assist the positioning process, the positioning can be divided into two types of positioning technology based on ranging algorithm and non-ranging algorithm. Compared with ranging algorithms, non-ranging positioning algorithms have attracted wide attention because they only rely on the connectivity of the whole network, no additional ranging hardware, and high robustness. However, due to its low accuracy and poor stability, improving the performance of non-ranging positioning algorithm has become a hot research topic for scholars. The main purpose of this paper is to improve localization by using a Aersea sheath optimization algorithm. To achieve this goal, this paper proposes a range-free distributed method by applying the sea sheath group algorithm to move the target nodes in the maritime rescue network. The results are compared with existing particle swarm optimization and butterfly optimization algorithms. The localization error of the proposed method is reduced by approximately 10% when compared to and. The proposed algorithm is verified in terms of localization accuracy, localization nodes, localization error and computation time.
Endurance effort affected expression the Actinin 3 and Klotho different isoforms in Arabian horses
Authors: Myćka Grzegorz , Ropka-Molik Katarzyna , Cywińska Anna , Stefaniuk-Szmukier Monika 
Published: June 2024

Abstract

Background
Among numerous genes that have been the focus of equine genetic research, the KL (Klotho) and ACTN3 (Alpha-actinin-3) genes stand out due to their significant roles in muscle function and overall health and performance ability. Previous studies on Arabian horses and other mammalians have shown that both KL and ACTN3 occur in different isoforms that seem to have different roles in metabolism.
Methods and Results
In present study the high throughput RNA analyses have been performed on a group of n = 10 Arabian horses taking a part in a long-distance 120km endurance ride. The Fold change (FC) values were calculated to describe the genes expression.
Conclusions
The results have shown surprisingly high differences between different isoforms expression level. Moreover, the correlation network analyses have shown the MIOX, SH3RH2 and TNNI2 genes as significantly involved in endurance effort metabolism.
Estimation of Leaf Wetness Duration Using Machine Learning Models
Authors: Silva Karita Almeida , Santos Valter Barbosa dos , Rolim Glauco de Souza , Júnior Newton La Scala 
Published: June 2024

Abstract

The leaf wetness duration (LWD) is one of the most critical parameters related to the infection rate and development of plant diseases, as many pathogens require the presence of free water on plant organs to infect leaf tissue. For this reason, this study evaluated three machine learning models: Random Forest (RF), Support Vector Machine (SVM), and Artificial Neural Network Multilayer Perceptron (MLP), using hourly surface meteorological inputs to estimate LWP. The models were trained and tested using 20 years of meteorological data for seven agricultural locations situated in the southern region of the state of Minas Gerais and the Triângulo Mineiro region. The models were compared with an empirical model based on observed relative humidity (NHUR>90%). The results indicated that machine learning models are capable of estimating LWD; however, among all methods tested, the MLP model demonstrated the best performance, with high accuracy (mean R² = 0.98) and low errors (mean RMSE = 27.6 minutes and mean MAE = 19.8 minutes). The results also showed that the models are sensitive to the study locations, with models for the southern Minas Gerais locations performing better than those for the Triângulo Mineiro region. This discrepancy is due to the lower LWD in the Triângulo Mineiro locations, which were underestimated by the models, resulting in lower performance.
Molecular Characteristics of Bovine Viral Diarrhea Virus Strain Isolated from Commercial Foetal Bovine Serum
Authors: Pan Juanjuan , Jiang Jianfeng , Duan Ruli , Dang Yueyi , Yu Weihao , Jianaer Nuoerdun , Chen Xintong , Kuang Ling , Tong Panpan , Mi Shijiang , Xie Jinxin 
Published: June 2024

Abstract

Bovine viral diarrhea virus (BVDV) is commonly detected in biological products such as vaccines and serum. In this study, we have detected BVDV in commercial foetal bovine serum. In order to determine whether the serum contained infectious virus or viral genes, we inoculated the serum sample into MDBK cells. After six passages, results of indirect immunofluorescence assay confirmed that the commercial foetal bovine serum was contaminated with an infectious strain of BVDV, designated as BI-2023. The complete genome sequence of this isolate was 12,273 nt. Subsequent sequence analysis revealed that the 5'UTR genes and the full genome of BI-2023 shared 98% and 94.74% nucleotideidentity, respectively, with the BVDV1b reference strain CC13B. This suggests that BI-2023 represents a new subtype within the BVDV1b lineage. Phylogenetic analysis of the 5'UTR and full genome sequences of BVDVs indicatedthat BI-2023 clusters closely with a known BVDV1blineage. These findings underscore the importance of screening commercial foetal bovine serum for adventitious viruses.
Investigation Studies of Pure and 2, 4, 6 &amp; 8 at.% of Molybdenum Doped Zinc Oxide (ZnO, Mo-ZnO) Thin Films Deposited by Spray Pyrolysis Technique for Transparent Conductive Oxides (TCO) Applications
Authors: Nimalan T. , Begam M. Rigana , Arunachalam A. , Govindan E. 
Published: June 2024

Abstract

Pure and molybdenum doped zinc oxide (ZnO, Mo-ZnO) thin films have been deposited on cleaned glass substrate at temperature 450°C using spray pyrolysis technique at different Mo doping (2, 4, 6 & 8 at.% ) concentrations. These films have been analyzed in structural, surface morphological, surface roughness, chemical compositions, optical and electrical studies. Structural analysis in XRD patterns provides that the pure and Mo-ZnO thin films were polycrystalline nature with hexagonal wurtzite structure and has a (0 0 2) plane oriented direction. Surface morphology of the prepared thin films obtained by SEM images provides that the agglomeration of grains with the porous nature which is useful for the photovoltaic applications. AFM observations exposed that the particles size and surface roughness of the prepared films decreased with Mo doping of films increased. Optical measurements indicate that the band gap was decreased with increase in Mo doping and all the prepared films are transparent in visible region, transmission is high for 6 at. % of Mo doped ZnO. The PL studies provides the maximum intensity of UV emission band is 6 at.% Mo content, it shows the improvement of crystallinity. Electrical measurement results provides that the minimum resistivity of 6 at. % of Mo doped film was 1.20 x 10-3Ω cm with increase in the hall mobility, carrier concentration and conductivity. These results make Mo-doped ZnO using a good suitable material for TCO applications.
Hierarchical clustering algorithm based on natural local density peaks
Authors: Cai Fapeng , Feng Ji , Yang Degang , Chen Zhongshang 
Published: June 2024

Abstract

Natural neighbor is known for its ability to adaptively identify the nearest neighbors in a dataset, but it sometimes can not accurately cluster in datasets with density variations. To overcome this drawback, this paper proposes a hierarchical clustering algorithm based on natural local density peaks (HC-NLDP). HC-NLDP mainly consists of partition and merge. Firstly, HC-NLDP searches natural local density peaks to form sub-clusters. This effectively solves the problem that points in low-density regions are difficult to cluster accurately. Secondly, HC-NLDP computes the shared similarity between every pair of sub-clusters. The shared similarity describes the relevance between sub-clusters. When confronted with datasets exhibiting density variations, the shared similarity can ensure that HC-NLDP achieves superior clustering performance. Numerical experiments based on synthetic and real datasets demonstrate the effectiveness and superiority of HC-NLDP.
Evaluation of an artificial intelligence-based software device for detection of intracranial haemorrhage in teleradiology practice
Authors: (Hons) Garry Pettet FRCR MBBS BSc , BSc Julie West , MMST Dennis Robert MBBS , MSc Aneesh Khetani BSc , BSc Shamie Kumar , MTech Satish Golla , MRCS FRCR PGCE Robert Lavis MB ChB (Hons) BSc (Hons) 
Published: June 2024

Abstract

Objectives
Artificial Intelligence (AI) algorithms have the potential to assist radiologists in the reporting of head CT scans. We investigated the performance of an AI-based software device used in a large teleradiology practice for intracranial haemorrhage (ICH) detection.
Methods
A randomly selected subset of all noncontrast CT head (NCCTH) scans from patients aged ≥ 18 years referred for urgent teleradiology reporting from 44 different hospitals within the UK over a 4-month period was considered for this evaluation. 30 auditing radiologists evaluated the NCCTH scans and the AI output retrospectively. Agreement between AI and auditing radiologists is reported along with failure analysis.
Results
A total of 1315 NCCTH scans from as many distinct patients were evaluated. 112 (8.5%) scans had ICH. Overall agreement, positive percent agreement, negative percent agreement, and Gwet’s AC1 of AI with radiologists were found to be 93.5% (95% CI: 92.1–94.8), 85.7% (77.8–91.6), 94.3% (92.8–95.5) and 0.92 (0.90–0.94) respectively in detecting ICH. 9 out of 16 false negative outcomes were due to missed subarachnoid haemorrhages and these were predominantly subtle haemorrhages. The most common reason for false positive results was due to motion artefacts.
Conclusions
AI demonstrated very good agreement with the radiologists in the detection of ICH.
The role of occupational therapists in return-to-work practice for people with post-COVID condition: A scoping review
Authors: Sy Michael Palapal , Frey Sara , Baldissera Anna , Pineda Roi Charles , Toribio Fides Nadine Raya B. 
Published: June 2024

Abstract

PURPOSE. The purpose of this scoping review was to map the extant literature on the role of occupational therapists for people with post COVID condition returning to work. Specifically, the review described the roles of occupational therapists, identified the professionals occupational therapists work with in this practice setting, and determined whether the concept of return to work is perceived as an outcome or a process.
METHOD. The review followed Arksey and O’Malley’s framework and reported the results using PRISMA extension. A systematic database search was performed in June 2024 and was updated in February 2024 to retrieve literature published from 2021 onwards.
RESULTS. A total of 33 papers from 5,106 records were included. The included records were studies that utilized case quantitative, qualitative, evidence syntheses, mixed method designs, and randomized controlled trial, whereas some were formatted as conference, evaluation, opinion, and short report papers. Occupational therapists have a wide-ranging role from providing clinical assessments and interventions, facilitating and advocating activities to prepare for work participation, and working within teams to both target clinical outcomes and facilitate return to work. To be effective in their role, occupational therapists work interprofessionally within teams composed of health, social, legal and service professionals. The concept of return to work was largely perceived as an outcome of rehabilitation and recovery, and less likely as a dynamic process that bridges patients from the health system to societal integration.
CONCLUSION. Occupational therapists have a crucial role in return-to-work practice especially for people with post COVID condition.
Simulation and attribution analysis of runoff–sediment in the Upper Basin of Fenhe River, China
Authors: Liu Jie , Chang Ke , Zhu Xueping , Wang Xueyao , Lin Binbin , Cai Wenjun 
Published: June 2024

ABSTRACT

High-precision simulation of runoff–sediment is a significant challenge due to the combined impacts of climate change and human activities. In this paper, runoff–sediment processes were simulated, and their impact attribution was analyzed using the Soil and Water Assessment Tool (SWAT) model in the upper Fenhe River basin of the Loess Plateau, China. A SWAT model was constructed to assess its applicability during the historical baseline period, which reflects low human activity. However, the simulation results for the comprehensive impact period, using the calibrated historical baseline model, were unsatisfactory. Consequently, a method was proposed to enhance the accuracy of simulation results by considering the presence of soil-retaining dams. This method incorporates large and small soil-retaining dams as reservoirs and ponds, respectively, into SWAT. The results indicate that the accuracy of runoff and sediment simulation reaches a satisfactory level. The attribution analysis results show that human activities have a greater impact on runoff and sediment than climate change, with land use change and soil-retaining dams being particularly significant. The construction of soil-retaining dams plays a more significant role in reducing runoff and sediment. These findings provide valuable insights into the management and utilization of runoff and sediment in river basins.
Fenton-reactive groundwater circulation well for groundwater remediation of a toluene-contaminated site
Authors: Yu Biao , Qu Zhihui , Jiang Liuhui , Yuan Haowei , Su Yan , Liu Qian 
Published: June 2024

ABSTRACT

In order to improve the remediation efficiency of the groundwater circulation well (GCW) on toluene-contaminated soil, we used a combination of GCW and Fenton reagent for remediation. Taking a toluene-contaminated site in Suzhou City, Jiangsu Province, China, as an example, Fenton reagent with a molar ratio of H2O2/contaminant = 10:1 and H2O2/Fe2+ = 2:1 was added to GCW at an aeration rate of 0.005 m3/s. After 216 h of remediation, the toluene concentrations at the site were reduced to the remediation target values. In this study, the Fenton reagent was rapidly delivered to the influence radius of GCW, which reduced the time required for remediation and provided a new model for the application of GCW.
Interferon Epsilon: Properties and Functions
Authors: Sahebnazar Barsa , Saberynejad Javad , Atashzar Mohammad Reza 
Published: June 2024

Abstract:
Interferon epsilon (IFN-ε) belongs to the type I IFN group and exhibits
various biological properties. IFN-ε exhibits different regulation mechanisms and
expression via other type I IFNs. Its hormonal regulation suggests that this INF can
have different functions and pathways from other type I IFNs. Although IFN-ε exhibits
lower antiproliferative, anti-tumor, and antiviral activities compared to IFN-α, it has
been identified to contribute to mucosal immunity, combat bacterial infections, and aid
in the prevention of specific sexually transmitted diseases, such as HIV, Zika virus, etc.
IFN-α and IFN-β with their well-established properties have been a research hotspot
for many years; nevertheless, IFN-ε, whose unique roles are only now beginning to
emerge, may be an intriguing subject for future study. This review focuses on the
known activity of IFN-ε in certain cancers, pregnancy, autoimmune diseases, bacterial
infections, and viruses. The aim of this paper is to enhance the understanding of the
potential efficacy of IFN-ε treatment in the future.