bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-apoptotic effect of resveratrol: regulate of mitochondrial pathway in high tensile stress-induced goat temporomandibular joint disc cells
Authors: Ren Hui , Bao Guangjie , Muhamnad Fahim , Zhao Shuwei , Hu Jingjing , Li Qian , Kang Hong 
Published: March 2023

Abstract
Background: Attenuating of temporomandibular joint disc (TMJ disc) cells apoptosis may be an effective strategy to reduce abnormal stress-induced disc degeneration. However, a potential target to regulate the apoptosis of TMJ disc cells under abnormal stress is still inconclusive. Resveratrol (RSV) is a polyphenol with multiple effects such as anti-inflammatory, antioxidant, and anti-apoptosis. In this study, an appropriate periodic tensile stress was selected to induce apoptosis in goat TMJ disc cells. To examine the effect and mechanism of RSV on cells via apoptosis under high tensile stress.
Results: An experimental model of high tensile stress-induced cells were successfully constructed with 8% stretching stimulus. CCK-8 and Flow cytometry assay showed that 8% tensile stress significantly promoted the apoptosis of TMJ disc cells. However, RSV (7.5μM) attenuated cell apoptosisunder high tensile stress, reflected by the increased ability of cell proliferation and decreased apoptosis rate. Furthermore, the gene expression of pro-apoptotic molecules (Bax and Caspase-3) was down-regulated, whereas that of anti-apoptotic molecule (Bcl-2) was up-regulated. It can be concluded that the mitochondrial pathway exerted an essential role in the regulation of apoptosis by RSV.
Conclusion:High-intensity stress effectively promotes the apoptosis of goat TMJ disc cells, while RSV is able to reverse cell apoptosis through the mitochondrial pathway. This work provides a new reference for the clinical treatment of abnormal stress-induced TMJ disc degeneration.
Factors perceived by health professionals to be barriers or facilitators to caries prevention in children: a systematic review
Authors: Lienhart Guillemette , Masson Elsa , Farge Pierre , Schott-Pethelaz Anne-Marie , Thivichon-Prince Béatrice , Chanelière Marc 
Published: March 2023

Abstract
Background: Considered the most prevalent noncommunicable disease in childhood, dental caries is both an individual and a collective burden. While international guidelines highlight prevention as a major strategy for caries management in children, health professionals still struggle to implement prevention into their clinical practice. Further research is needed to understand the gap between the theoretical significance of dental prevention and its lack of implementation in the clinical setting. This systematic review aims to identify and classify factors perceived by health professionals to be barriers or facilitators to caries prevention in children.
Method: A systematic literature search was conducted in three electronic databases (Medline, Web of Science and Cairn). Two researchers independently screened titles, abstracts and texts. To be selected, studies had to focus on barriers or facilitators to caries prevention in children and include health professionals as study participants. Qualitative and quantitative studies were selected. The factors influencing caries prevention in children were sorted into 3 main categories (clinician-related factors, patient-related factors, and organizational-related factors) and then classified according to the 14 domains of the theoretical domains framework (TDF).
Results: A total of 1771 references were found by combining manual and database searches. Among them, 26 studies met the inclusion criteria, of which half were qualitative and half were quantitative studies. Dentists (n=12), pediatricians (n= 11), nurses (n=9), and physicians (n=5) were the most frequently interviewed health professionals in our analysis. Barriers and facilitators to caries prevention in children were categorized into 12 TDF domains. The most frequently reported domains were Environmental Context and Resources, Knowledge and Professional Role and Identity.
Conclusion: This systematic review found that a wide range of factors influence caries prevention in children. Our analysis showed that barriers to pediatric oral health promotion affect all stages of the health care system.
By highlighting the incompatibility between the health care system’s organization and the implementation of caries prevention, this study aims to help researchers and policy-makers design new interventions to improve children’s access to caries prevention.
Registration: PROSPERO CRD42022304545
Remodeling of the Ribosomal Quality Control and Integrated Stress Response by Viral Ubiquitin Deconjugases
Authors: Liu Jiangnan , Nagy Noemi , Aguilar-Alonso Francisco , Esteves Frncisco , Ayala-Torres Carlos , Xu Shanshan , Masucci Maria 
Published: March 2023

Abstract
The strategies adopted by viruses to reprogram the translation and protein quality control machinery to promote infection are poorly understood. Here, we discovered that the viral ubiquitin deconjugase (vDUB) encoded in the large tegument protein of Epstein-Barr virus (EBV) regulates ribosomal and integrated stress responses. The vDUB participates in protein complexes that include the Ribosome Quality Control (RQC) ubiquitin ligases ZNF598 and LTN1. Upon ribosomal stalling, the vDUB counteracts the ubiquitination of the 40S particle and inhibits the degradation of translation-stalled polypeptides by the proteasome. The impairment of the RQC correlates with the activation of a GCN2-dependent integrated stress response that decreases global translation and promotes the readthrough of stall-inducing mRNAs. Physiological levels of active BPLF1 promoted the translation of the stall-inducing EBNA1 mRNA in productively EBV-infected cells, and enhanced the release of progeny virus, pointing to a pivotal role of the vDUB in the ribosomal reprogramming that enables efficient virus production.
Multivalent next generation influenza virus vaccines protect against seasonal and pre-pandemic viruses
Authors: Uno Naoko , Ross Ted M 
Published: March 2023

Abstract

Each year, new influenza virus vaccine formulations are generated to keep up with continuously circulating and mutating viral variants. A next-generation influenza virus vaccine would provide long-lasting, broadly-reactive immune protection against current and future influenza virus strains for both seasonal and pre-pandemic viruses. Next generation immunogens were designed using computationally optimized broadly reactive antigen (COBRA) methodology to protect against a broad range of strains over numerous seasons. Novel HA and NA amino acid sequences were derived from multilayered consensus sequence alignment for multiple subtypes of influenza. This multivalent formulation was hypothesized to elicit broadly protective immune responses against both seasonal and pre-pandemic influenza viruses. Mice were vaccinated with multivalent mixtures of HA and NA (H1, H2, H3, H5, H7, N1, N2) proteins. Multivalent COBRA vaccinations elicited antibodies that recognized a broad panel of strains and vaccinated mice were protected against viruses representing multiple subtypes. This is a promising candidate for a universal influenza vaccine that elicits protective immune responses against seasonal and pre-pandemic strains over multiple seasons.
An adaptive differential evolution algorithm based on data preprocessing method to solve global optimization problem
Authors: Zhao Ruxin , Wang Wei , Zhang Tingting , Fu Lixiang 
Published: March 2023

Abstract
Differential evolution (DE) algorithm is a classical natural-inspired optimization algorithm, which has good optimization performance. However, with the deepening of research, some researchers found that the quality of the candidate solution of the population in the differential evolution algorithm is poor and its global search ability is not enough when solving the global optimization problem. Therefore, in order to solve the above problems, we propose an adaptive differential evolution algorithm based on data processing method (ADEDPM). In this paper, the data preprocessing method is implemented by k-means clustering algorithm, which is used to divide the initial population into multiple clusters according to the average value of fitness, and select candidate solutions in each cluster according to different proportions. This method improves the quality of candidate solutions of the population to a certain extent. In addition, in order to solve the problem of insufficient global search ability in differential evolution algorithm, we also proposed a new mutation strategy, which is called “DE/current-to-𝑝1 best&𝑝2 best”. This strategy guides the search direction of the differential evolution algorithm by selecting individuals with good fitness, so that its search range in the most promising candidate solution region, and indirectly increases the population diversity of the algorithm. Finally, we propose an adaptive parameter control method, which can effectively balance the relationship between the exploration process and the exploitation process to achieve better performance of the algorithm. In order to verify the effectiveness of the proposed algorithm, the ADEDPM is compared with five optimization algorithms of the same type in the past three years, which are AAGSA, DFPSO, HGASSO, HHO and VAGWO, respectively. In the simulation experiment, 21 benchmark test functions and 4 engineering example problems are used, and the convergence accuracy, convergence speed, stability and rank sum test of the algorithm are fully compared. The experimental results show that compared with the five latest optimization algorithms of the same type, the proposed algorithm has strong competitiveness in each test index.
Nutrient deprivation alters the rate of COPII coat assembly to tune secretory protein transport
Authors: Kasberg William , Luong Peter , Swift Kevin , Audhya Anjon 
Published: March 2023

Abstract
Co-assembly of the multilayered coat protein complex II (COPII) with the Sar1 GTPase at subdomains of the endoplasmic reticulum (ER) enables secretory cargoes to be concentrated efficiently within nascent transport intermediates, which subsequently deliver their contents to ER-Golgi intermediate compartments. Here, we define the spatiotemporal accumulation of native COPII subunits and secretory cargoes at ER subdomains under differing nutrient availability conditions using a combination of CRISPR/Cas9-mediated genome editing and live cell imaging. Our findings demonstrate that the rate of inner COPII coat assembly serves as a determinant for the pace of cargo export, irrespective of COPII subunit expression levels. Moreover, increasing inner COPII coat assembly kinetics is sufficient to rescue cargo trafficking deficits caused by acute nutrient limitation in a manner dependent on Sar1 GTPase activity. Our findings are consistent with a model in which the rate of inner COPII coat formation acts as an important control point to regulate cargo export from the ER.
Proteomic profiling of retina and retinal pigment epithelium combined embryonic tissue to facilitate ocular disease gene discovery
Authors: Aryal Sandeep , Anand Deepti , Huang Hongzhan , Reddy Ashok P , Wilmarth Phillip A , David Larry L , Lachke Salil A 
Published: March 2023

Abstract
To expedite gene discovery in eye development and its associated defects, we previously developed a bioinformatics resource-tool iSyTE (integrated Systems Tool for Eye gene discovery). However, iSyTE is presently limited to lens tissue and is predominantly based on transcriptomics datasets. Therefore, to extend iSyTE to other eye tissues on the proteome level, we performed high-throughput tandem mass spectrometry (MS/MS) on mouse embryonic day (E)14.5 retina and retinal pigment epithelium combined tissue and identified an average of 3,300 proteins per sample (n=5). High-throughput expression profiling-based gene discovery approaches–involving either transcriptomics or proteomics–pose a key challenge of prioritizing candidates from thousands of RNA/proteins expressed. To address this, we used MS/MS proteome data from mouse whole embryonic body (WB) as a reference dataset and performed comparative analysis–termed “in silico WB-subtraction”–with the retina proteome dataset. In silico WB-subtraction identified 90 high-priority proteins with retina-enriched expression at stringency criteria of ³2.5 average spectral counts, ³2.0 fold-enrichment, False Discovery Rate <0.01. These top candidates represent a pool of retina-enriched proteins, several of which are associated with retinal biology and/or defects (e.g., Aldh1a1, Ank2, Ank3, Dcn, Dync2h1, Egfr, Ephb2, Fbln5, Fbn2, Hras, Igf2bp1, Msi1, Rbp1, Rlbp1, Tenm3, Yap1, etc.), indicating the effectiveness of this approach. Importantly, in silico WB-subtraction also identified several new high-priority candidates with potential regulatory function in retina development. Finally, proteins exhibiting expression or enriched-expression in the retina are made accessible in a user-friendly manner at iSyTE (https://research.bioinformatics.udel.edu/iSyTE/), to allow effective visualization of this information and facilitate eye gene discovery.
Comparative effect of five compost types on growth and yield of maize (Zea mays L.) on a Ferric Acrisol in Ghana
Authors: Boakye Acheampong , Miezah Kodwo , Tuffour Henry , Bessah Enoch , Kemausour Francis 
Published: March 2023

Abstract
The effect of compost application on maize (Zea mays L.) growth and yields was studied on a Ferric Acrisol in the semi-deciduous rainforest zone of Ghana. Five different composting formulations were done to assess their effect on growth and yields of maize. The compost materials consisting of municipal solid waste (MSW), Pig dung and Goat dung (feedstock-amendment ratios) were composted over a 12-weeks period under mesophilic (< 50 ℃) and thermophilic (> 50 ℃) stages using windrow composting approach. The compost treatments were; T1 (100% mesophilic stage), T2 (100% thermophilic stage), T3 (50% mesophilic and 50% thermophilic stage), T4 (80% thermophilic stage) and T5 (80% mesophilic stage). Plot size measuring 3 m x 4 m were demarcated. Improved maize (Obatanpa) was planted in April and September, 2020 at spacing of 80 cm x 40 cm. Compost recommended application rates of 5 t/ha of each compost treatment were applied to the experimental plots two weeks after planting with three replications in a randomized complete block design. Compost treatment two (T2) significantly (p ≤ 0.05) recorded the highest N, at the end of the composting period. Results showed that compost treatment two (T2) treated plots significantly (p ≤ 0.05) recorded the highest grain yields of 4.4 t/ha and 3.62 t/ha during the major and minor cropping season. These findings suggest that, compost treatment two (T2: 100% thermophilic stage) composting approach had short-term effects on nutrient supply, can be used by smallholder farmers to address soil fertility decline, improve nutrient availability and enhanced growth and yields of maize.
Late Cretaceous marine incursion into Central African continent
Authors: Xiao Hong , Li Meijun , Cheng Dingsheng 
Published: March 2023

Abstract
The Late Cretaceous global transgression is one of the best well-documented episodes of continental submergence events. Conventional perspective holds that the transgression scope of the New Tethys Ocean into the African continent is limited to the North African continent. Here, we found some transgression traces in the Muglad Basin of the Central African continent. A series of special molecular markers were detected in the Upper Cretaceous Santonian-Maastrichtian sediments of the Muglad Basin, which are completely different from those in the typical lacustrine sediments of the Lower Cretaceous Barremian-Aptian. Combining the geological-geochemical implications of these markers with the paleogeographic, paleontological and lithological records, we propose that the Muglad Basin received intermittent marine inundations during the Santonian-Maastrichian stages (86.3‒66.0 Ma) and these special molecular markers are therefore the products of seawater incursion. Consequently, this study firstly proposes that the transgression scope of the Neo-Tethys Ocean into the African continent southern extended to the Central Africa continent during the Late Cretaceous.
Assessment Risk of Evolution Process of Disaster Chain Induced by Potential Landslide in Woda
Authors: Yao Shunyu , Yu Lei , Dingzhu Liu , Cheng Deqiang 
Published: March 2023

Abstract
The Jinsha River basin in the upper reaches of the Yangtze River in China has strong geological activities, and there are many large-scale landslides around the two banks, which can easily lead to a flood hazard chain. The recent Wenchuan and Luding earthquakes have increased the probability of landslide collapse on the slopes of the Jinsha River and increased the risk of a large landslide-dam-break-flood hazard chain. The Woda landslide is ancient and in a slow deformation stage, and if the landslide revives, it may block rivers and cause outburst floods. This study simulated the dynamic process of large-scale landslide failure and landslide dam formation by the deep integration continuum method. The outburst flood due to the dam breach is calculated by combining the dammed lake flow model and the shallow water equation, which can simulate the evolution of the downstream flood process. The results show that after the Woda landslide blocks the river, a dam of about 68.1m can be formed, the water storage capacity of the dammed lake is about 7.10*108 m3, the peak flow of the burst can reach 4.4*104 m3/s, and the impact range after the burst can reach 140km. Downstream, submerged several downstream villages and towns and the Sichuan-Tibet Railway. The study found that the resistance coefficient of landslides can significantly affect the evolution process of the entire hazard chain. Reducing the resistance coefficient of landslides can largely increase the height of the landslide dam, amplifying the peak flow of the outburst flood and increasing the risk of downstream elements at risk at far.
Estimation of disability-free life expectancy and loss of disability-free life expectancy in patients with non-small cell lung cancer
Authors: Lin Shin-Mao , Yang Szu-Chun , Wu Tzu-I , Wang Jung-Der , Liu Li-Fan 
Published: March 2023

Abstract
Purpose: To quantify the societal impact of disability in patients with non-small cell lung cancer (NSCLC), this study estimated the disability-free life expectancy (DFLE), loss-of-DFLE and explored their associations with quality-adjusted life expectancy (QALE) and loss-of-QALE.
Methods: We interlinked national databases and applied a rolling-over algorithm to estimate the lifetime survival function for patients with NSCLC. Using the EuroQOL-5 Dimension (EQ-5D) and Barthel index (BI), we repeatedly measured the quality-of-life and disability functions of NSCLC patients who visited our hospital from 2011 to 2020. Age-, sex-matched referents were simulated from lifetables of the same calendar year of diagnosis. We categorized BI scores ≤70 as in need of long-term care and constructed linear mixed models to estimate the utility values and disability scores.
Results: We collected 960 cases and 3088 measurements. The proportions of measurements without disability at age <65 and in stage I-IIIa, age <65 and stage IIIb-IV, age ≥65 and stage I-IIIa and age ≥65 and stage IIIb-IV were 97.3%, 89.3%, 94.8%,78.3%, corresponding to DFLEs of 15.3, 2.4, 6.8, 1.2 years and losses-of-DFLE of 8.1, 20.7, 4.0, 8.6 years, respectively, indicating that advanced stage had a stronger effect than old age. Survivors in advanced stages showed increased demands for assistance in almost all subitems. The DFLEs seemed to be approximate to the QALEs and the latter were shorter than the former due to discomfort and depression.
Conclusion: From a societal perspective, future health technology assessment should consider the impact of lifetime duration of functional disability. Early diagnosis of NSCLC may decrease the burden of long-term care.
Security Optimization Algorithm for Public Information Platform of Internet of Things Based on Open Architecture
Authors: Wang Zhe 
Published: March 2023

Abstract
At present, with the rapid growth of electronic information and the continuous improvement of computing power, the Internet of Things (IoT) has become more and more widely used in practical development. In the field of Public Information (PI), the IoT public information platform has made good progress and promoted the scientific growth of public information and resource management. However, affected by its sharing and openness, its information and data security also faces huge challenges. Maintaining the platform’s information security and improving its reliability have become the primary task in the current public utilities construction. In order to solve this dilemma, based on the research of the platform characteristics, information security issues and the development status of the platform, combined with the open architecture, this paper conducted an in-depth study of the security optimization algorithm of the IoT public information platform. In order to verify the security optimization algorithm effect of the IoT public information platform based on the open architecture, this paper took an IoT public information platform as the test environment, and carried out simulation tests on its usability, execution efficiency and protection. The test results showed that in terms of protection, the average security protection degree of the security optimization algorithm based on open architecture under 80 security risk processing requests was about 86.70%. From the test results, the security optimization algorithm of IoT public information platform based on open architecture had stronger operability.
Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers
Authors: Romero Sebastián V. , Osaba Eneko , Villar-Rodriguez Esther , Oregi Izaskun , Ban Yue 
Published: March 2023

Abstract
Efficient packing of items into bins is a common daily task. Known as Bin Packing Problem, it has been intensively studied in the field of artificial intelligence, thanks to the wide interest from industry and logistics. Since decades, many variants have been proposed, with the three-dimensional Bin Packing Problem as the closest one to real-world use cases. We introduce a hybrid quantum-classical framework for solving real-world three-dimensional Bin Packing Problems (Q4RealBPP), considering different realistic characteristics, such as: i) package and bin dimensions, ii) overweight restrictions, iii) affinities among item categories and iv) preferences for item ordering. Q4RealBPP permits the solving of real-world oriented instances of 3dBPP, contemplating restrictions well appreciated by industrial and logistics sectors.