bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microglial expression of CD83 governs cellular activation and restrains autoimmune neuroinflammation
Authors: Langguth Pia , Peckert-Maier Katrin , Kuhnt Christine , Draßner Christina , Haimon Zhana , Linnerbauer Mathias , Royzman Dmytro , Steinkasserer Alexander , Wild Andreas 
Published: November 2022

Abstract
Microglial activation during neuroinflammation is crucial for coordinating the immune response against neuronal tissue and the initial response of microglia determines the severity of neuroinflammatory diseases. CD83 has been associated with early activation of microglia in various disease settings albeit its functional relevance for microglial biology was still elusive. Thus, we conducted a thorough assessment of CD83 regulation in microglia as well as its impact on microglial mediated neuroinflammation. Here, we describe for the first time that CD83 expression in microglia is not only associated with cellular activation but also with pro-resolving functions. Conditional deletion of CD83 causes malfunctioning responses to myelin debris, which results in an over-activated state during autoimmune neuroinflammation. Subsequently, CD83-deficient microglia recruit more pathogenic immune cells to the central nervous system and deteriorate resolving mechanism, which exacerbates the disease. Thus, CD83 in microglia orchestrates cellular activation and consequently, also resolution of neuroinflammation.
Rapid detection of Enterobacter cloacae with a visualized isothermal recombinase polymerase amplification assay
Authors: Fan Shihui , Lu Yingzhi , Wang Lei , Zhu Wenjun , Wang Kun , Wang Yan , Zhao Weiguo , cheng Chen , Zhou Ping 
Published: November 2022

Abstract
Background: Enterobacter cloacae exhibits strong adhesion and invasion properties which can contribute its ability to infect the host; it has been considered as an important opportunistic pathogen throughout the world. Simple, rapid, and accurate detection methods are needed to control the spread of E. cloacae. Current methods suffer from various shortcomings and do not meet the demand for on-site detection.
Results: In this study, an isothermal detection method using recombinase polymerase amplification combined with lateral flow strip (RPA-LFS) was established to target the outer membrane protein X (ompX) gene of E. cloacae. This reaction can be performed in 30 min at 37°C. The limit of detection of 101 CFU/reaction was equivalent to that of the qPCR method. The detection accuracy of clinical samples was also equal to that of the qPCR method.
Conclusions: The RPA-LFS assay developed in this study was simple, rapid, and accurate, and did not require a laboratory facility. It may be useful for on-site detection of E. cloacae.
SMC1A facilitates gastric cancer cells proliferation, migration and invasion via promoting SNAIL activated EMT
Authors: Liu Yaling , Fang Xianrui , Wang Qianqian , Xiao Da , Zhou Ting , Kang Kuo , Peng Zhenyu , Ren Feng , Zhou Jingyu 
Published: November 2022

Abstract
Background: structural maintenance of chromosomes protein 1A (SMC1A) is a crucial subunit of the cohesion protein complex and plays a vital role in cell cycle regulation, genomic stability maintenance, chromosome dynamics. Recent studies demonstrated that SMC1A participate in tumorigenesis. This reseach aims to explore the role and the underlying mechanisms of SMC1A in gastric cancer (GC).
Materials and methods: RT-qPCR and western blot were used to examine the expression levels of SMC1A in GC tissues and cell lines. The role of SMC1A on GC cell proliferation, migration, invasion and epithelial-mesenchymal transition (EMT)were analyzed. Furthermore,the mechanism of SMC1A action was investigated.
Results: SMC1A was highly expressed in GC tissues and cell lines. The high expression of SMC1A indicated the poor overall survival of GC patients from Kaplan-Meier Plotter. Enhancing the expression of SMC1A in AGS remarkably promoted cell proliferation, migration and invasion. While knockdown of SMC1A in HCG27 inhibited cell proliferation, migration and invasion of HGC27 cells. Moreover, it’s observed that SMC1A promoted EMT and malignant cell behaviors via regulating SNAIL
Conclusion: our study revealed SMC1A facilitates gastric cancer cell proliferation, migration and invasion via promoting SNAI2 activated EMT, which indicated SMC1A may be a potential target for gastric cancer therapy.
Symptoms and risk factors of depression and PTSD in the prolonged COVID-19 pandemic: A longitudinal survey conducted from 2020 to 2022 in Japan
Authors: FUKASE Yuko , ICHIKURA Kanako , TAGAYA Hirokuni 
Published: November 2022

Abstract
Background
The present study aimed to explore changes in depression and posttraumatic stress disorder (PTSD) among the general population during the prolonged COVID-19 pandemic and to investigate risk factors and adaptive/nonadaptive strategies.
Methods
A web-based longitudinal survey was conducted across five timepoints from 2020 to 2022 in Japan. The survey consisted of the Patient Health Questionnaire-9 (PHQ-9), Impact of Event Scale-Revised (IESR), and Brief Coping Orientation to Problems Experienced.
Results
A total of 1,366 participants (mean age = 52.76, SD = 15.57) were analyzed. Regarding levels of depression, PHQ-9 scores in 2022 were lower than in 2020 and 2021. Regarding levels of PTSD, IESR scores in 2022 were lower than in 2021 among females; however, IESR scores did not decrease during the pandemic. Risk factors included being younger, not working, and experiencing economic impacts regardless of income. Adaptive strategies included active coping, use of emotional support, and use of instrumental support, whereas nonadaptive strategies included self-distraction, denial, substance use, behavioral disengagement, venting, religion, and self-blame.
Conclusions
Levels of depression might have decreased in January 2022, and PTSD might not have reflected the condition of the general population during the pandemic, at least in Japan. Adaptive strategies might be difficult to find for the prolonged nature of the pandemic. Therefore, professional support must be provided to people who have risk factors and those who employ nonadaptive strategies.
Middle aged and older adult's perspectives of their own home environment: A qualitative meta-synthesis
Authors: Dalistan Roslyn , George Stacey , Lane Rachel , Block Heather , Laver Kate 
Published: November 2022

Abstract
Background
Most people prefer to remain in their homes and communities as long as possible. Staying at home is widely beneficial as ageing within the home promotes independence and costs less than residential aged care. Understanding meanings and drivers of remaining at home is an area of importance.
Objective
The objective of this systematic review was to describe middle and older aged adult’s perspective of their home environment and concept of home to determine the factors that are important when making decisions about future housing.
Methods
This systematic review was conducted in accordance with the Joanna Briggs Institute (JBI) methodology for reviews of qualitative evidence. Meta-aggregation was used as the method of synthesis. Included qualitative studies involved middle and older aged adults and their views about ageing and housing. Published studies were identified in four electronic databases and grey literature. Critical appraisal and extraction were conducted using JBI tools, then aggregated into synthesized findings.
Results
A total of 46 papers with 5413 perspectives on the concept of home were included. Factors impacting on future housing decisions among individuals were revealed. Seventeen synthesized findings emerged - independence, finances, stigma, attitudes towards ageing, attachments with home, aesthetics, and family connection.
Conclusion
Financial positions contributed to housing decisions, suggesting the need to increase new ‘in-between’ housing options. Older people’s values should be incorporated to assist planning future housing needs, rather than on the physical characteristics. Funding changes are required for older people to access appropriate support for home modifications
The Research Interest, Capacity and Culture of NHS Staff in South East Scotland and Changes in Attitude to Research Following the Pandemic: a Cross-Sectional Survey
Authors: Chinn David J , Pribanova Magdalene , Quirk Frances 
Published: November 2022

Abstract

Background
The UK National Health Service (NHS) is ideally placed to undertake research. The UK Government recently launched its vision of research within the NHS to improve research culture and activity amongst its staff. Currently, little is known about the research interest, capacity and culture of staff in one Health Board in South East Scotland and how their attitudes to research may have changed as a result of the SARS-CoV-2 pandemic.
Methods
We used the validated Research Capacity and Culture tool in an online survey of staff working in one Health Board in South East Scotland to explore attitudes to research at the organisation, team and individual level together with involvement in, barriers to and motivators to engage in research. Questions included changes in attitude to research as a result of the pandemic. Staff were identified by professional group: nurses/midwives, medical/dental, allied health professionals (AHP), other therapeutic and administrative roles. Median scores and interquartile ranges were reported and differences between groups assessed using the Chi-square and Kruskal-Wallis tests with P < 0.05 accepted as statistical significance. Free-text entries were analysed using content analysis.
Results
Replies were received from 503/9145 potential respondents (5.5% response), of these 278 (3.0% response) completed all sections of the questionnaire. Differences between groups were noted in the proportions of those with research as part of their role (P = 0.012) and in being research-active (P < 0.001). Respondents reported high scores for promoting evidence-based practice and for finding and critically reviewing literature. Low scores were returned for preparing reports and securing grants. Overall, medical and other therapeutic staff reported higher levels of practical skills compared with other groups. Principal barriers to research were pressure of clinical work and lack of time, backfill and funds. 171/503 (34%) had changed their attitude to research as a result of the pandemic with 92% of 205 respondents more likely to volunteer for a study themselves.
Conclusions
We found a positive change in attitude to research arising from the SARS-CoV-2 pandemic. Research engagement may increase after addressing the barriers cited. The present results provide a baseline against which future initiatives introduced to increase research capability and capacity may be assessed.
An Economical and Sustainable Non-sterilization Cultivation Method of Oyster Mushroom (Pleurotus spp.) and its Key Influencing Factor
Authors: Zhang Yulong , Li Zhijun , Lin Dongmei , Chen Jingsi , Shen Linsong , Wen Fengmei , Xie Mingjun , Lin Hui , Lin Xingsheng , Luo Hailing , Yan Fan , Okal Eyalira Jacob , Lin Yingxing , Lin Zhanxi 
Published: November 2022

Abstract
Natural processes inspire human innovation. For example, leafcutter ants inhabiting rainforests of South America cut plant debris, transport them to underground nests, dissociate them into small pieces, and use them to cultivate a specific fungus, which serve as the main food source for the whole colony. Inspired by this, Giant Juncao grass (Cenchrus fungigraminus, name used before: Pennisetum giganteum z.x.lin) was used as the raw material. It is a C4 tall grass with rapid growth, high yield, wide-spread adaptability, nitrogen fixation, low-quality soil requirements, biosafety, and can be cultivated on a large scale in many low value and idle lands such as saline and alkali soils, desert and barren mountains. On this basis, we screened out a non-sterilization-based cultivation method of oyster mushroom with fresh Giant Juncao grass. Using our novel method, the bottleneck technologies in the popularization and application of various oyster mushroom cultivation methods in underdeveloped areas were improved. Took Wei W.'s report as reference that the highest annual output of Giant Juncao grass was 450 tons per hectare in southern China. And according to the conversion rate of the oyster mushroom in this research which was 95% in average (Ratio of total weight of fresh mushroom to dry weight of culture material), and the water content which was 91.5%, about 119.7 tons of fresh oyster mushroom could be produced in 2-3 months. Took the nutrient contents of Pleurotus sapidus cultivated by sterilization cultivation method with fresh Giant Juncao grass reported by Zhixiang X. as reference, it could provide 2.37 tons of high-quality protein. In addition, this study found that, the key to the success of this method was the reduction of the soluble substances in culture materials, which significantly reduced the contamination by Mucor circinelloides and provided an enabling environment for the growth of oyster mushroom. These findings provided an index for quality control and a theoretical basis for further study. If this technology is applied appropriately, it will be able to greatly alleviate malnutrition and food shortages in an economical, organic, and sustainable manner in underdeveloped areas.
Energy-Aware Data Replication in Green Cloud Computing using Improved Bat Algorithm and Paralleling Technique
Authors: Zade Behnam Mohammad Hasani , Mansouri Najme , Javidi Mohammad Masoud 
Published: November 2022

Abstract
In green cloud computing, resources are allocated in a reasonable way so that cloud computing systems are energy efficient and consume little power. In this paper, Parallel-based data replication with an Improved Fuzzy-Bat technique called PIF-Bat is proposed. At first, we introduce an Improved Fuzzy-Bat (IF-Bat) strategy that tunes some parameters of the standard Bat algorithm and controls the tradeoff between exploration and exploitation. By balancing the trade-offs among the five optimization objectives (i.e., availability, service time, load, latency, centrality, energy consumption), the PIF-Bat algorithm determines the optimal locations for replicas using a multi-objective optimization strategy based on the Improved Fuzzy-Bat technique. A successful attack against each site will reveal no useful information even if only a single part of the file is exposed. A fuzzy inference system is used in the PIF-Bat algorithm to determine whether to parallelize files based on data such as file size, free space, and average bandwidth at each node. In order to reduce retrieval time, a parallel download technique, which allows users to download portions of a file simultaneously from different sites, is applied. The experimental results and statistical tests with a set of well-known test functions demonstrate the superior exploitation and exploration ability of IF-Bat. Furthermore, PIF-Bat obtains lower access latency around 15%∼20% and better performance than other similar replication algorithms under high load conditions.
Performance of Deep Learning Methods for Different Relay Selection Protocols
Authors: Akdemir Bilgehan , KARABULUT Muhammet Ali , Ilhan Haci 
Published: November 2022

Abstract
Deep Learning (DL) is an emerging topic that has found its place in various applications due to its many advantages, such as providing good performance and reducing complexity. In this paper, we employed different DL methods for channel estimation in cooperative communication by using Maximum Likelihood Estimation (MLE) to combine different copies of transmitted signal over a Binary Phase-Shift Keying (BPSK) modulation in a Rayleigh fading communication channel. We have presented three different relay selection protocols. The first one is SNR-based; the SNRs of the transmission lines between nodes are calculated, and a relay with maximum SNR is selected among the relays. The second relay selection protocol is threshold-based; average SNRs have been computed for all transmission lines, and the links exceeding the average SNR attend in the collaboration. The last protocol is that all relays in the network participate in cooperation, which achieves better performance metrics in terms of Bit Error Rate (BER) and outage analysis. From our simulation results, DL algorithms achieved good performance for channel estimation in the different relay selection protocols based on the Decode and Forward (DF) relaying system.
Engagement of Back Remodeling of Adult Neurons in Memory Formation on Rats
Authors: Mekhtiev Arif , Asadova Shamsiya , Guseinov Shovgi 
Published: November 2022

Abstract
The article concerns the problem of mechanisms of memory formation. The study was conducted on polyclonal antibodies to serotonin-modulating anticonsolidation protein (SMAP) that is in linear relationship with serotonin. Intra-cerebral administration of polyclonal anti-SMAP antibodies significantly enhanced elaboration and strengthened memory formation in two complex behavioral conditioned models. At the same time, intra-cerebral administration of these antibodies brought to upregulation of nerve growth factor (NGF) in the hippocampus (p<0.001). Intra-cerebral administration of antibodies to dihydropyrimidinase-related protein 2 (active component of SMAP, two other component proteins – tubulin and actin – are structural proteins lacking any regulatory activity) brought to downregulation of beta III tubulin (marker of differentiated neurons) in the hippocampus (p<0.001) and in the left parietal cortex (p<0.01). The obtained results indicate to the process of back remodeling of mature nerve cells of adult organisms occurring under the effects of anti-SMAP and anti-DRP2 antibodies. Conclusion is made that back remodeling (dedifferentiation) of mature nerve cells, apparently, is engaged in memory formation.
The LSTM-Based Automated Phishing Detection Driven Model for Detecting Multiple Attacks on Tor Hidden Services.
Authors: C RAJESWARY , M Thirumaran 
Published: November 2022

Abstract
Phishing is a major problem on darknets. Phishing is the practice of attacking an unaware person by pretending to be someone else to steal their personal digital data. In anonymous platforms such as the dark web or deep web of Tor, detecting the attacker or phishing attacks is a much more complicated practice. Generic phishing attacks can be easy to spot. Today’s challenge is detecting the various attacks in the anonymous network is very hard. The intelligent factor of attacks can bypass traditional detection solutions. To solve the problem of complications in the Tor Network, the dynamic and time-variant with new promising techniques such as Long-Short-term -Memory (LSTM), accurately detects the new forms of vulnerable attacks in phishing-based Tor hidden services.
A Smart Agriculturing IoT System for Banana Plants Disease Detection through Inbuilt Compressed Sensing Devices
Authors: Nandhini Aasha , R Hemalatha , S Radha , G Shreya , R Selvarajan 
Published: November 2022

Abstract
The Internet of Things (IoT) solutions for agriculture are rapidly growing and have the potential to transform agriculture in many aspects. In particular, the plant disease detection devices play a vital role in improving the agriculture. The visual monitoring of plants for the onset of diseases is a tedious and time-consuming task for farmers and at the same time it is less accurate. Hence an automated system with environmental data and camera sensors can serve as an alternative and effective solution for manual monitoring of plants. In this paper, a novel and efficient compressed sensing inbuilt plant disease detection device is developed which uses a foreground-based segmentation method and two step feature extraction technique to detect and classify two of the major banana diseases. A database is created for banana bunchy top and sigatokaleaf spot diseases by collecting images in real time from the fields of southern parts of Tamilnadu namely Thadiyankudisai and Thandikudi of Dindigul district, KC Patti, Muthalapuram, Suruli Patti and Kambam of Theni district and ICAR NRCB, Tiruchirapalli. The suggested device's effectiveness has been assessed in terms of the proportion of infected areas, detection accuracy, percentage of feature reduction, and classification accuracy. The prototype of the proposed device is developed and validated using the Raspberry pi board. The findings demonstrate that the suggested device achieves classification accuracy of 97.33% and detection accuracy of 96.75%.
Cyclic AMP signaling promotes regeneration of cochlear synapses after excitotoxic or noise trauma
Authors: Hemachandran Sriram , Hu Ning , Green Steven H. 
Published: November 2022

Abstract
Cochlear afferent synapses connecting inner hair cells (IHCs) to spiral ganglion neurons (SGNs) are susceptible to excitotoxic trauma on exposure to loud sound, resulting in a noise-induced cochlear synaptopathy. We mimicked this trauma in an in vitro model by applying a glutamate receptor agonist, kainic acid (KA) to organotypic cochlear. Regeneration of the lost synapses is very limited but, we show here, can be promoted by cAMP signaling in the in vitro model and in noise-exposed mice. Indeed, using the in vitro model, we show that the application of the cell membrane-permeable cAMP agonist 8-cpt-cAMP or the cAMP phosphodiesterase inhibitor rolipram promotes significant regeneration of synapses within twelve hours after their destruction by KA. This is independent of neurotrophin-3, which also promotes synapse regeneration. Two independent signaling effectors are activated by cAMP: the cAMP Exchange Protein Activated by cAMP and the cAMP-dependent protein kinase. We show here that it is the latter that mediates synapse regeneration. Finally, we show that systemic delivery of rolipram from a subcutaneously implanted minipump in adult mice promotes synapse regeneration in vivo following NICS. Thus, systemic administration of rolipram or similar compounds may provide a minimally invasive therapeutic approach to reversing synaptopathy post-noise.
Compatibilization of immiscible PA6/PLA Nanocomposites using graphene oxide and PTW compatibilizer for high thermal and mechanical applications
Authors: Azizli Mohammad Javad , Ghadami Azam , Vafa Ehsan , Rezaeeparto Katayoon , Parham Somayeh , Mokhtary Masoud , Jahankhah Zahra , Hashemi Mohammad , Bazargan-Lari Reza , Amani Ali Mohammad 
Published: November 2022

Abstract
The aim of this work is synthesis a novel nanocomposite containing Polylactide (PLA) and polyamide 6 (PA6) reinforced with graphene oxide (GO) and poly ethylene-butyl acrylate-glycidyl methacrylate) (PTW) compatibilizer during solvent-based method. For this purpose, GO was added to the nanocomposite with 0.1, 0.3, 0.5, 0.7 and 1 phr. Morphology, rheology and mechanical properties of nanocomposites were studied with scanning electron microscopy (SEM), transmission electron microscopy (TEM) and (DMTA) which showed rougher fracture surface due to the presence of compatibilizer and an increase in the amount of graphene oxide and better dispersion of graphene oxide. The results of experimental and theoretical studies of mechanical properties showed that increasing the concentration of graphene oxide in the presence of PTW improved the tensile strength, impact strength and tensile modulus in the PA6/PTW/PLA system. The study of rheological properties (according to the Carreau-Yasuda model) showed an increase in storage modulus and complex viscosity, which also confirmed the role of PTW compatibilizer in better GO dispersion. So, PA6/PTW/PLA is a good candidate for mechanical and high thermal applications.