bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 vaccine hesitancy behaviour among Algerian adults at the onset of the fourth wave of corona virus pandemic.
Authors: Mebarki Bouhafs , Argoub Mohamed , Mokdad Mohamed , Mebarki Imededdine , Merah Ali 
Published: February 2023

Abstract

Background

Attitudes towards COVID-19 vaccines are the main determinants of herd immunity sought by public health authorities. Refusal and hesitancy are apparent expressions of negative attitudes. Statistics of Covid-19 vaccination by country (WHO 2022; Covid19taskforce 2022) showed the majority of the Algerian population are reluctant to be vaccinated against COVID-19. The main question raised by the present study is what causes are behind such hesitancy behavior towards COVID-19 vaccines. The aim of this study is to unveil factors, which influence attitudes towards the COVID-19 vaccine, in order to develop behavior change communication campaigns, and to set up a well-designed national strategy to get to a level of herd immunity.

Subject and Methods

To collect data, a semi-structured questionnaire was given to individuals.

Results

The results revealed that the majority of participants (63.55%) exhibit negative attitudes towards Covid-19 vaccine, and just a third of participants have positive attitudes towards vaccine. Factors influencing positive attitudes towards COVID-19 vaccination are mainly inherent to personal convictions on the benefits of the vaccine. While, the main factors behind negative attitudes towards COVID-19 vaccination, are inherent to the participants’ “naive explanation of COVID-19 pandemic” who rely on traditional medicine (indigenous medicine) and natural immunity and who exhibit “Mistrust towards health authorities”.

Conclusion

We have put forward recommendations to tackle factors causing negative attitudes towards COVID-19 vaccination, and alleviate hurdles facing national strategy to eradicate the pandemic.
Recent past connections between Amazonian and Atlantic forests by comparative phylogeography and paleodistribution models for didelphid mammals
Authors: Machado Arielli Fabrício , Silva Maria Nazareth Ferreira da , Farias Izeni Pires , Anciães Marina , Nunes Mario Silva , Miranda Cleuton Lima , Peçanha Willian Thomaz , Duarte Leandro 
Published: February 2023

Abstract

Despite the disjunct distribution of Amazonian and Atlantic forests, evidence suggests historical connections. Here we investigated the historical connections between three didelphid mammal species from Amazonian and Atlantic forests (Caluromys philander, Marmosa murina and Marmosa demerarae) to uncover these connections using a comparative phylogeography approach and paleodistribution models. We generated species distribution models from the present and past (Holocene through Pliocene) to evaluate changes in distributions over time focusing on the previously suggested connection regions. We inferred divergence times between populations of each species via the mitochondrial cytochrome b gene, estimated the phylogeographic relationships with haplotype networks, and calculated the genetic distances. All species showed Amazonian and Atlantic Forest divergences between 1 and 2 million years ago, while some populations diverged in more recent times. Paleodistribution was wider for periods before the estimated divergence times, becoming narrower after. We suggest that the climatic oscillations during the onset of the Pleistocene largely influenced the phylogenetic structuring of these forest-dwelling species, leading to the separation of populations of taxa currently distributed in Amazonian and Atlantic forests. Our findings also point to repeated connections over time, with both North- and South-eastern routes compatible with older connections, whereas younger connections were supported only for the Southeastern route. This represents the first simultaneous evaluation of past connections between Amazonian and Atlantic forests combining phylogeographic inferences with paleodistribution models. Our results highlight the relevance of environmental tolerance of species to their responses to climate change, such as more frequent increases in the paleodistribution of more resilient species.
Efficient Approaches for Metadata Prefetching and Data Placement in Wide-Area Computing
Authors: Wei Bing , Zhao Xiaobo , Zhang Shudong , Luo Ning , Zhou Lijuan , Zhang Chenhao 
Published: February 2023

Abstract
Metadata prefetching and data placement are essential to improve access performance for wide-area network file systems. Constructing efficient approaches has been a challenge for metadata prefetching in concurrent workload scenarios and for data placement in a wide-area network. This paper proposes efficient approaches for metadata prefetching and data placement, wherein fine-grained control of prefetching policies and variable-size data fragment writing are utilized to maximize the I/O bandwidth of distributed files. The proposed metadata prefetching approach dynamically detects the dominant workload and adaptively adjusts the prefetching policy to improve metadata access performance in concurrent workload scenarios. The proposed data placement approach places the written data fragments into the local data center to improve the write performance and sends only the location information of the data fragments to the remote data center that holds the original file. Experimental results using real system traces indicate that the file system metadata and application data access times can be reduced by up to 33.5% and 17.19%, respectively, compared to that of state-of-the-art methods.
PRAME promotes proliferation of multiple myeloma cells through CTMP/Akt/p21/CCND3 axis by regulating the ubiquitination of CTMP and p21
Authors: Sun Kai , Yang Lu , Wang Feng , Liu Ying , Xu Nan , Shi Zong-Yan , Chen Wen-Min , Li Ke , Qin Ya-Zhen 
Published: February 2023

Abstract

Background Multiple myeloma (MM) is a ubiquitin proteasome system (UPS)-dysfunction disease. We previously reported that the PRAME transcript level at diagnosis was prognostic for MM, which was related to proteasome inhibitor bortezomib treatment. In the present study, we aimed to investigate molecular mechanisms underlying the above clinical performance in MM cells. Methods MM cell lines with PRAME knockdown and overexpression were established by lentivirus transduction. Cell viability, cell cycle analysis, immunohistochemistry staining, cell migration and invasion, colony-forming and xeno-transplant assays were performed to evaluate the biological effects of PRAME on MM cells in vivo and in vitro. Proteomics and IP combined with MS were further performed to explore the downstream signaling. Co-IP, western blot, cycloheximide (CHX)-chase assay, and endogenous ubiquitination assay were utilized to examine the interactions and ubiquitination relations between PRAME and CTMP as well as p21. Assessment of apoptosis and CHX-chase assay were applied to analyze the role of PRAME under the effect of bortezomib on MM cells. Results Proliferation-promoting role of PRAME was demonstrated in MM cell models. CTMP and p21 were found to be the novel targets of PRAME in the Cul2-dependent substrate recognition process. PRAME interacted with and mediated ubiquitination of CTMP and p21, and subsequently elevated p-Akt and CCND3 protein levels, and promoted apoptosis of MM cells under bortezomib treatment. Conclusions PRAME promoted proliferation and increased bortezomib sensibility by regulating ubiquitination and degradation of CTMP and p21, which provided new targets for more precise and effective treatment choices for MM.
Kilohertz High-Frequency Alternating Current Ameliorate Hyperalgesia and Inhibit the Glial Activation by Modulating TRPV1 and NMDAR2B Signaling Pathways in Chronic Constriction Injury of Sciatic Nerve Mice
Authors: Fang Kexin , Lu Peixin , Cheng Wen , Yu Bin 
Published: February 2023

Abstract
In recent years, there has been increasing interest in the use of kilohertz frequency alternating current (KHFAC) to block peripheral nerves. However, there is still a lack of direct data and mechanistic studies on the treatment of neuropathic pain by KHFAC. Based on this, we applied a high-frequency bipolar rectangular stimulus pulse to chronic constriction injury of sciatic nerve mice (CCI), and explored the optimal stimulation frequency and current by recording the compound muscle action potential (CMAP). We found that KHFAC could significantly alleviate the mechanical and thermal allodynia in neuropathic pain mice without any effect of movement function following 7 days of high-frequency electrical stimulation of the sciatic nerve. KHFAC inhibited the expression of TRPV1 and NMDAR2B, which could also inhibit the activation of astrocytes and microglia in the spinal cord. The administration of TRPV1 pathway activator could partially reverse the antinociceptive effects of KHFAC, while TRPV1 pathway inhibitor could achieve analgesic effects similar to KHFAC. Therefore, we believe that KHFAC inhibits the activation of spinal dorsal horn glial cells, especially astrocytes and microglia, through nociceptive afferent fibers by inhibiting the activation of TRPV1/NMDAR2B signaling pathway. In summary, KHFAC has a potential to be a novel intervention for the treatment of neuropathic pain.
Data-driven automated control algorithm for floating-zone crystal growth derived by reinforcement learning
Authors: Harada Shunta , Tosa Yusuke , Omae Ryo , Matsumoto Ryohei , Sumitani Shogo 
Published: February 2023

Abstract
The complete automation of materials manufacturing with high productivity is a key problem in some materials processing. In floating zone (FZ) crystal growth, which is a manufacturing process for semiconductor wafers such as silicon, an operator adaptively controls the input parameters in accordance with the state of the crystal growth process. Since the operation dynamics of FZ crystal growth are complicated, automation is often difficult, and usually the process is manually controlled. Here we demonstrate automated control of FZ crystal growth by reinforcement learning using the dynamics predicted by Gaussian mixture modeling (GMM) from small numbers of trajectories. Our proposed method of constructing the control model is completely data-driven. Using an emulator program for FZ crystal growth, we show that the control model constructed by our proposed model can more accurately follow the ideal growth trajectory than demonstration trajectories created by human operation. Furthermore, we reveal that policy optimization near the demonstration trajectories realizes accurate control following the ideal trajectory.
The Influence of Proximal Motor Strategies on Pianists’ Upper-Limb Movement Variability
Authors: Turner Craig , Goubault Etienne , Maso Fabien Dal , Begon Mickaël , Verdugo Felipe 
Published: February 2023

Abstract
Repetitive movements are considered a risk factor for developing practice-related musculoskeletal disorders. Intra-participant kinematic variability might help musicians reduce the risk of injury during repetitive tasks. No research has studied the effects of proximal motion (i.e., trunk and shoulder movement) on upper-limb movement variability in pianists. The first objective was to determine the effect of proximal movement strategies and performance tempo on both intra-participant joint angle variability of upper-limb joints and endpoint variability. The second objective was to compare joint angle variability between pianist’s upper-limb joints. As secondary objectives, we assessed the relationship between intra-participant joint angle variability and task range of motion (ROM) and documented inter-participant joint angle variability. The upper body kinematics of 9 expert pianists were recorded using an optoelectronic system. Participants continuously performed two right-hand chords (lateral leap motions) while changing movements based on trunk motion (with and without) and shoulder motion (counter-clockwise, back-and-forth, and clockwise) at two tempi (slow and fast). Trunk and shoulder movement strategies collectively influenced variability at the shoulder, elbow and, to a lesser extent, the wrist. Slow tempo led to greater variability at wrist and elbow flexion/extension compared to fast tempos. Endpoint variability was influenced only along the anteroposterior axis. When the trunk was static, the shoulder had the lowest joint angle variability. When trunk motion was used, elbow and shoulder variability increased, and became comparable to wrist variability. ROM was correlated with intra-participant joint angle variability, suggesting that increased task ROM might result in increased movement variability during practice. Inter-participant variability was approximately six times greater than intra-participant variability. Pianists should consider incorporating trunk motion and a variety of shoulder movements as performance strategies while performing leap motions at the piano, as they might reduce exposure to risks of injury.
Approach and Algorithm for Evaluating the Allowed Signal/Noise Ratio of Robotic Lidars under External Influences
Authors: Mamchenko M. V. 
Published: February 2023

Purpose or research. The aim of the study is to ensure the safe operation of robotics by developing methods, approaches and algorithms for information processing, and describing their functioning.Methods. The paper proposes an approach to estimation allowed signal/noise ratio (SNR) for robotic LiDARs based on the predetermined probability of occurrence of «false alarm» under unintended influences. The synthesized probabilistic approach is based on the physical fundaments of infrared radiation, and the Bayesian theory using the Neyman-Pearson criterion. The feature of the proposed approach is the use of the given threshold of «false alarm» occurrence, and the probability of occurrence of interference in the analytical apparatus, as well as consideration of the characteristics of photodetectors. This allows expressing analytically and calculating the value of the allowed SNR when stabilizing the level of «false alarms» against background noise caused by this type of interference.Results. The formed and presented dependencies can be used as one of the operating characteristics in the development and selection of optoelectronic system of LiDAR’s measurement system. Based on the fixed value of «false alarm», and the resulting graphical expression of the operating characteristic (obtained characteristics) it is possible to choose a LiDARs system with necessary technical parameters.Conclusion. The probabilistic approach and the corresponding algorithm for selecting the threshold SNR value based on the Neyman-Pearson criterion were developed. The approach allows minimizing the probability of «ignoring» the object when scanning, since the probability of «false alarm» does not exceed the given threshold value. Mathematical and methodological support for the design of LiDARs is presented, taking into account a priori estimation of the allowed SNR value, and the probability of reflected pulse detection, without preliminary estimates of probabilistic characteristics of object detection. The presented algorithm has a set of raw data (in the form of the values of the received signal with a noise component) as an input. Its output is represented by a set of error probability dependencies for different SNR thresholds.
Method of Determining the Source of Messages Based on Processing the Time of Their Receipt
Authors: Tanygin M. О. , Plugatarev A. V. , Egorov S. I. , Loktionov A. P. 
Published: February 2023

Purpose of researchis to create a method for determining the source of messages in the receiver, which allows, based on the analysis of the characteristics of the distribution of the time of receipt of messages, to increase the reliability of determining the source.Methods.Authentication of the message source is based on statistical analysis of metadata values, which in this study are the time intervals between messages. The metadata processing model is based on the well-known model of receiving messages from the target source in LoRaWAN networks. At the same time, the source was determined using coding methods in the block coupling mode, which provide higher identification reliability for short-length messages characteristic of the specified type of networks. With the help of numerical modeling, the patterns of changes in the characteristics of the time of receipt of messages in the event of an identification error were determined. The decision-making rule is also formulated in case of impossibility of authentication based on processing the contents of identification fields. Studies have shown the effectiveness of the application of the source detection model in various ranges of parameters for the formation of message sequences.Results.The result of the conducted research is the development of an authentication method based on the analysis of the time of receipt of messages to the receiver, which differs in that it uses the characteristics of the distribution of moments of high orders for a series of time delays as the analyzed data. Its use in combination with coding methods in the message concatenation mode reduces the probability of a single message replacement error in a sequence by 4-6 times, compared with methods that perform identification only based on the results of processing the identifiers of the messages themselves.Conclusion.The result of experimental studies has shown the possibility of using the developed method to increase the reliability of determining the authenticity of the source of messages, the possibility of reducing the number of reinquiries that occur when errors are detected, the possibility of reducing the size of additional identifier fields in each message. The resulting effect will be expressed in a general increase in the bandwidth of the communication channel between remote components of a distributed system.
Load Balancer of Data in a Distributed Network via Nginx Proxy Server
Authors: Nikishin K. I. 
Published: February 2023

Purpose of research.Is investigation of a software method for balancing data in a distributed network via an Nginx proxy server.Methods.In a computer network load balancer of data is an important network parameter. Due to load balancer in the network, the transmission delay may decrease or increase, the spread from the average jitter value. Thus, load balancer in the network affects the time characteristics and network bandwidth. Load balancer can be managed and optimized in both software and hardware ways. The article focuses on load balancer of data at the application level of applications. Hardware load balancer, which is solved within the framework of network equipment itself, for example, in switches, is briefly considered. This is handled by the queue manager in the Ethernet switch, which manages the bandwidth and queues. Cyclic algorithms are described, as well as an algorithm with time selection of frames in dispatcher of switch that implement effective hardware load balancer. Software load balancer of data in the network is considered. A web server and an Nginx reverse proxy server were used as software load balancer, 3 Docker containers based on Asp.net applications running on different environments.Results.The network was configured and the cyclic load balancer algorithm was used in the Nginx server. A research of a network with a different number of environments in the network, web servers, data requests was conducted. The cyclic load balancer of data in Nginx is more efficient than the random algorithm, this has been shown during experiments.Conclusion.Hardware and software load balancer algorithms in a distributed network were considered and investigated. Cyclic load balancer of data has made it possible to increase the network bandwidth, its efficiency and performance.
A Profile of Occupational Therapy in Australian Education
Authors: Pozorski Georgia , Macbeth Matthew , Gilbert-Hunt Susan , Boshoff Kobie 
Published: February 2023

There is growing evidence for the need for occupational therapists in government-funded primary schools and preschools across Australia. Anecdotally and through some evidence sources, such as documented school policies and an international mapping review conducted in 2019 (Boshoff, Bowen and Gilbert-Hunt), it is evident that there are inconsistencies surrounding the role of occupational therapists across the different states and territories. In order to enable advocacy and further development of the roles, we aimed to establish a clear description of the role of occupational therapy in education, through collaboration with key stakeholders and information gathering from occupational therapists around Australia.
As part of a student project, we gathered information from representatives from each state and territory, utilised existing documentation and worked with a steering group to consolidate the information and develop a summary report describing the role of occupational therapy in Australian education. We gathered information about the employment and funding of occupational therapists in schools, the service delivery models used, strengths of certain models and the challenges facing occupational therapists in schools.
As primary outcome of this project, we provide a description of the occupational therapy role in Australian government-funded preschools and primary schools. The information gathered highlights the variation in occupational therapy presence, employment and service delivery across states and territories in Australia. It is evident that the majority of states and territories lack easily accessible documentation of the occupational therapy presence, employment and service delivery models. Key strengths and challenges were identified. Various recommendations are made for the profession and education communities to further progress the role in education nation-wide.
Physical Activity and Insulin Sensitivity Independently Attenuate the Effect of FTO rs9939609 on Obesity
Authors: Andersen Mette K. , Ängquist Lars , Bork-Jensen Jette , Jonsson Anna E. , Stinson Sara E. , Sandholt Camilla H. , Thodberg Malte , Pikkupeura Laura Maarit , Ongstad Emily L. , Grarup Niels , Astrup Arne , Pedersen Oluf , Williams Kristine , Barrès Romain , Sørensen Thorkild I.A. , Linneberg Allan , Grimsby Joseph , Rhodes Christopher J. , Hansen Torben 
Published: February 2023

OBJECTIVE
The association between FTO rs9939609 and obesity is modified by physical activity (PA) and/or insulin sensitivity (IS). We aimed to assess whether these modifications are independent, to assess whether PA and/or IS modify the association between rs9939609 and cardiometabolic traits, and to elucidate underlying mechanisms.

RESEARCH DESIGN AND METHODS
Genetic association analyses comprised up to 19,585 individuals. PA was self-reported, and IS was defined based on inverted HOMA insulin resistance index. Functional analyses were performed in muscle biopsies from 140 men and in cultured muscle cells.

RESULTS
The BMI-increasing effect of the FTO rs9939609 A allele was attenuated by 47% with high PA (β [SE], −0.32 [0.10] kg/m2, P = 0.0013) and by 51% with high IS (−0.31 [0.09] kg/m2, P = 0.00028). Interestingly, these interactions were essentially independent (PA, −0.20 [0.09] kg/m2, P = 0.023; IS, −0.28 [0.09] kg/m2, P = 0.0011). The rs9939609 A allele was also associated with higher all-cause mortality and certain cardiometabolic outcomes (hazard ratio, 1.07–1.20, P &gt; 0.04), and these effects tended to be weakened by greater PA and IS. Moreover, the rs9939609 A allele was associated with higher expression of FTO in skeletal muscle tissue (0.03 [0.01], P = 0.011), and in skeletal muscle cells, we identified a physical interaction between the FTO promoter and an enhancer region encompassing rs9939609.

CONCLUSIONS
Greater PA and IS independently reduced the effect of rs9939609 on obesity. These effects might be mediated through altered expression of FTO in skeletal muscle. Our results indicated that PA and/or other means of increasing insulin sensitivity could counteract FTO-related genetic predisposition to obesity.