bluuebunny/crossref_metadata_2025_split huggingface dataset:
Maxillofacial fibrous dysplasia—diagnosis, treatment and reconstruction with a personalized, 3D-printed titanium implant: a case report
Authors: Dudzińska-Filkiewicz Anna , Łączkowska-Serafin Julianna , Krysztopik Joanna , Żurada Anna 
Published: June 2022

Abstract
Fibrous dysplasia is a rare disease belonging to benign, noncancerous bone and fibrous-related developmental disorders. A 34-year-old male was admitted to the maxillofacial surgery unit to diagnose a rapidly growing, painless lesion with swelling in the right buccal region and increasing facial deformity for three months. Computed tomography (CT) images revealed an inhomogeneous, ill-defined lesion in the maxilla and maxillary sinus. Despite the lesion, the patient had no clinically significant neurological abnormalities. The lesion was diagnosed as fibrous dysplasia on the basis of preoperative tissue biopsy. The treatment of choice was complete surgical excision with immediate reconstruction and fixation of the orbital floor by implanting an alloplastic titanium mesh implant. Then, the patient underwent a secondary reconstruction of tissue defects using a personalized, 3D-printed titanium implant. Reconstruction of postresection defects covering a large craniofacial area is a challenge for maxillofacial surgeons due to the specific location of the face, especially considering psychological and technical aspects. The reconstruction method should be predictable and safe and should guarantee the best aesthetic effect, close to perfection. The ideal solution seems to be the use of an individually prepared, personalized 3D-printed titanium implant with anatomical detail mapping, which can perfectly recreate the missing tissues.
Hierarchical Fluctuation Shapes a Dynamic Flow Linked to States of Consciousness
Authors: Li Ang , Liu Haiyang , Lei Xu , He Yini , Wu Qian , Yan Yan , Zhou Xin , Tian Xiaohan , Peng Yingjie , Yan Hao , Zhang Cheng , He Sheng , Han Ruquan , Wang Xiaoqun , Liu Bing 
Published: June 2022

Abstract
Consciousness emerges from the spatiotemporal dynamics of neural activity. However, how such an extraordinary phenomenon is supported by neural flexibility and regional specialization across the cerebral cortex remains elusive. Here, using several functional magnetic resonance imaging (fMRI) paradigms (e.g., anesthesia, sleep, and drowsiness), we show a consciousness-related signature characterized by shifting spontaneous fluctuations along a unimodal-transmodal cortical organizational axis. The signature is simple and sensitive to altered states of consciousness in single individuals, exhibiting abnormal elevation under psychedelics as well as in individuals with psychosis. Under task-free conditions, this hierarchical dynamic reflects ongoing brain state changes in global integration and connectome diversity. Applying quasi-periodic pattern detection during different vigilance states, we found that hierarchical heterogeneity also manifested as spatiotemporally propagation waves related to arousal. A similar pattern was observed in neural activity measured with cortex-wide electrocorticography (ECoG) in macaques. Last, we observed that the spatial distribution of the principle cortical gradient not only preferentially recapitulated the genetic transcription levels of the histaminergic system but also that of the functional connectome mapping of the tuberomammillary nucleus (TMN), which promotes wakefulness. Combining behavioral, neuroimaging, electrophysiological, and transcriptomic evidence, we suggest that global state of consciousness is supported by efficient hierarchical processing that can be constrained along a low-dimensional macroscale gradient.
Extracellular adenosine 5ʹ-diphosphate promotes MCP-1/CCL2 expression via the P2Y13 purinergic receptor/ ERK signaling axis in temporomandibular joint-derived mouse fibroblast-like synoviocytes
Authors: Yokota Seiji , Chosa Naoyuki , Matsumoto Shikino , Satoh Kazuro , Ishisaki Akira 
Published: June 2022

Abstract
Background Temporomandibular joint osteoarthritis (TMJ-OA) causes cartilage degeneration, bone cavitation, and fibrosis of the TMJ. However, the mechanisms underlying the fibroblast-like synoviocyte (FLS)-mediated inflammatory activity in TMJ-OA remain unclear. Methods and Results Reverse transcription-quantitative polymerase chain reaction analysis revealed that the P2Y1, P2Y12, and P2Y13 purinergic receptor agonist adenosine 5ʹ-diphosphate (ADP) significantly induces monocyte chemotactic protein 1 (MCP-1)/ C-C motif chemokine ligand 2 (CCL2) expression in the FLS1 synovial cell line. In contrast, the uracil nucleotide UTP, which is a P2Y2 and P2Y4 agonist, has no significant effect on MCP-1/CCL2 production in FLS1 cells. In addition, the P2Y13 antagonist MRS 2211 considerably decreases the expression of ADP-induced MCP-1/CCL2, whereas ADP stimulation enhances extracellular signal-regulated kinase (ERK) phosphorylation. Moreover, it was found that the mitogen-activated protein kinase/ERK kinase (MEK) inhibitor U0126 reduces ADP-induced MCP-1/CCL2 expression.Conclusions ADP enhances MCP-1/CCL2 expression in TMJ FLSs via P2Y13 receptors in an MEK/ERK-dependent manner, thus resulting in inflammatory cell infiltration in the TMJ. Collectively, the findings of this study contribute to a partial clarification of the signaling pathway underlying the development of inflammation in TMJ-OA and can help identify potential therapeutic targets for suppressing ADP-mediated purinergic signaling in this disease.
Research on Influencing Factors of Artificial Intelligence Multi-cloud Scheduling Applied Talents Training based on DEMATEL-TAISM
Authors: Bian Yi-jie , Xie Lu , Li Jing-qi 
Published: June 2022

Abstract
With the rapid development of Internet of things (IoT) technology and the increasing popularity of IoT devices, more and more computing intensive IoT applications came into being. However, due to the limited resources of IoT devices, cloud computing systems are required to compute intensive IoT applications. Further, in order to be subject to a single cloud computing service provider, multi-cloud computing will become an IoT service cloud computing solution. In view of the complexity of multi-cloud scheduling, the application of artificial intelligence will be an important technology to solve the multi-cloud scheduling of IoT. The corresponding talent training plays an important role in the development and implementation of the artificial intelligence multi-cloud scheduling of IoT. Firstly, this paper studies the key influencing factors of IoT’s artificial intelligence multi-cloud scheduling applied talents training. Combined with the characteristics of the development of China’s artificial intelligence industry, this paper summarizes the influencing factors from the four dimensional training path of government departments, universities, enterprises and scientific research institutes. According to the training purpose of artificial intelligence multi-cloud scheduling applied talents training, build an artificial intelligence multi-cloud scheduling applied talents training influencing factor index system. Then, the DEMATEL method is used to establish multiple correlation matrices according to the direct influence correlation between the factors, and calculate the influence degree, affected degree, center degree and cause degree of the factors; Using the improved AISM method, based on the idea of game confrontation, from the two opposite extraction rules of result priority and cause priority respectively, a group of confrontation level topological maps with comprehensive influence values reflecting the interaction of factors are obtained, and relevant suggestions are put forward in order to provide reference for the training of artificial intelligence multi-cloud scheduling applied talents.
A prospective, single center, open, comparative, pilot clinical trial to evaluate the efficacy and safety of anti-adhesive agent Interguard® in patients undergoing abdominal surgery
Authors: Kang Ha-Ri , Choi Seung Jun , Choi Sangtae , Lee Won-Suk 
Published: June 2022

Abstract
Purpose: We performed a prospective study to assess whether the use adhesion barrier Interguard® reduces the rate of adhesion grade in patients who undergoing colorectal surgery plus temporary loop ileostomy as compared to that of the no additive control group.Methods: A total of 38 patients were enrolled between May 2019 and July 2020.Among the 38 enrolled patients, 14 patients received Interguard®, and 24 patients received no additive.Results There was no significant difference of the baseline characteristics between each group. There were no significant differences between the groups for the type of operation (P = 0.163). Operation time was not significantly different between the two groups (P = 0.471). The blood laboratory data was not significantly different from day 5 and 7. None of the patients experienced wound infection and/or anastomotic leakage. None of the patients in Interguard® group developed small bowel ileus after the ileostomy takedown. Adhesion score less than 5 was significantly lower in Interguard® group as compared to control group (P = 0.001). Lower abdomen adhesion score was significantly higher in control group (P = 0.009)ConclusionsThe application of Interguard® did reduce the adhesion grade in patients who were undergoing colorectal surgery and temporary ileostomy as compared to the control group.
Emotions and arithmetic in children
Authors: Lemaire Patrick 
Published: June 2022

Abstract
How negative emotions influence arithmetic performance and how such influence changes with age during childhood? To address these issues, I used a within-trial emotion induction procedure while children solve arithmetic problems. More specifically, 8—15 year-old participants (N=207) solved arithmetic problems (8+4=13. True? False?) that were displayed superimposed on emotionally negative or neutral pictures. The main results showed (a) poorer performance in emotionally negative conditions in all age groups, (b) larger deleterious effects of negative emotions on harder problems, (c) decreased effects of emotions as children grow older, and (d) sequential carry-over effects of emotions in all age groups such that larger decreased performance under emotions occurred on current trials immediately preceded by emotional trials. These findings have important implications for furthering our understanding of how emotions influence arithmetic performance in children and how this influence changes during childhood.
Key tips to providing a psychologically safe learning environment in the clinical setting
Authors: Hardie Philip , O’Donovan Roisin , Jarvis Prof Suzi , Redmond Catherine 
Published: June 2022

Abstract
Having psychological safety embedded in preceptorship relationships facilitates positive interpersonal and educational experiences for students. Psychological safety refers to a student’s belief as to whether or not it is safe for them to take interpersonal risks, such as asking questions, sharing an idea for improvement or speaking up to maintain patient safety. Having psychological safety leads to collaboration, positive student learning experiences and effective patient care. In this article, we present key guidelines for preceptors to provide a psychologically safe learning environment for their students. Guidelines fall under four categories 1)before meeting students, 2)first meeting students, 3) continued relationship with students and 4) general rules. These guidelines are informed by current literature on psychological safety and preceptorship and the author's clinical expertise in a nursing preceptorship. We conceptualise psychological safety in a nursing preceptorship for preceptors to denote the experience of inclusivity, empowerment and well-being of students within the social, cultural and physical clinical learning environment. A crucial attribute to cultivating a psychologically safe environment involves being an accessible and approachable preceptor.
Statiscal Investigation of Solar Activity Phenomena for Cycle 23 and 24.
Authors: Umuogbana Umuogbana Augusine Onyemaechi , Christian Onuchukwu Christian Chika 
Published: June 2022

Abstract
A statistical analysis on the main parameters of Coronal Mass Ejections (CMEs) and solar activity for solar cycles 23 and 24 has been carried out and reported. The data used for the analysis was obtained from SOHO/LASCO CME Catalogue by the Coordinated Data Analysis Workshop (CDAW), and Omini Services, for CME and solar activity respectively. The parameter used for his study is Speed at 20R (20R). The solar activity tracers analyzed are sunspot number (SSN) and sunspot area (SSA). We characterized and compared the CME parameter for each cycle, and then compared their monthly time series plots with the solar activity cycle for possible similarities. Also, for each parameter, same analysis was also done on various sizes of CMEs (normal, narrow and wide), fast, slow and CMEs with negative and positive acceleration which were segregated from All CMEs. A comparison of CME time series with solar activity (especially SSAT and SSN which seem to reflect the true general activity cycle) shows that solar activity lags behind CME (for negative)by three months for cycle 24. CME with positive acceleration does not follow the sunspot cycle. Also for CME speed, both category of speeds follow the sunspot cycle but lags by 3 months for cycle 24. CME distributions shows that as All CMEs travel from one cycle to another it decreases, just as other CME segregated angular sizes decreases except for narrow CMEs which increases. Slow CMEs increases while CMEs with positive and negative acceleration decreases. These changes are, perhaps, due to effects of solar wind.
Population study reveals genetic variation and introgression of four deciduous oaks at the junction between Taihang Mountain and Yanshan Mountain
Authors: Pei Ziqi , Yang Qinsong , Chen Xining , Zong Yu , Li Jinjin , Yang Xiong , Huo Chenrui , Chen Yixin , Zhang Qian , Luo Na , Kang Jialu , Meng Xiaoqian , Jiang Wenjie , Li Yining , Zhou Huirong , Wang Jiaxi , Liu Yong , Li Guolei 
Published: June 2022

Abstract
Oaks (Quercus spp.) are considered as model plants for studying plant evolution and natural gene introgression. However, interspecific hybridization often occurred in sympatric sibling specie, resulting in blurred interspecific boundaries and hindering the development of breeding. Beijing area is at the junction between Taihang Mountain and Yanshan Mountain. It is a key area for deciduous oaks native to China and an overlapping area of several oaks. It is urgently necessary to evaluate the genetic diversity and population structure of the 4 deciduous oak species to understand the degree of gene introgression and to screen out ideal breeding materials. In this study, we collected 11 populations of 4 oak species (Q. variabilis, Q. mongolica, Q. dentata and Q. aliena) in the junction between Taihang Mountain and Yanshan Mountain. By using the polymorphic SSR markers, we analyzed the genetic variation of the collected 400 individuals and investigated the population structure and found gene introgression events. Q. variabilis had a clearer genetic background as compared to the other three species and the artificial population of Q. variabilis might have been transplanted from other regions outside Beijing. Q. mongolica had a more frequent gene introgression with Q. dentata and Q. aliena in this area. In addition, our results provided DNA fingerprints of the sampled 40 individuals according 9 SSR markers. This research reported useful SSR data for analyzing the genetic variation of oak species native to China, laying the foundation of whole genome sequencing and conducting an oak germplasm nursery with clear genetic background.
Existence of the Mathematical Prediction Equation and its Convergence Condition and its Simplified Derivation
Authors: gu xu 
Published: June 2022

Abstract
The mathematical prediction equation (MPE) will give the mathematical definition of prediction to various physical motion (wave) fields. The MPE of space-time infinite order accuracy was proposed in this study (MPE is also an infinite series), and its sufficient and necessary convergence condition was reported. Meanwhile, simplified derivation or inference was given for the MPE (it is hoped that the mathematical circle will perfectly prove the MPE). The mathematical definition of prediction was provided during derivation, including mathematical relationships between the Euler constant equation and Newton displacement, velocity and acceleration. Furthermore, by combining MPEs and convergence conditions with the cubic spline function, closed prediction equations of ideal gas pressure, temperature, and flow fields with space-time second-order accuracy were established, (it is also hoped that the physics circle will investigat the application of MPE in quantum fields, to discuss the mathematical definition and difference between Newton displacement and Einstein displacement).
Assessing executive functions in the real world is virtually possible
Authors: Rocabado Francisco , Duñabeitia Jon Andoni 
Published: June 2022

Abstract
Executive functions have become a popular research topic since the beginning of the century. Their central role in our daily routines makes them the most representative form of behaviour regulation. Even though there is no general agreement about how they can be classified, there is common consensus that cognitive scientists need to understand their nature and how they interact to modulate human behaviour. Inhibitory control is one of the main exponents of executive functions, and the last decades have witnessed an exponential increase of studies on the inhibitory component thanks to the development of chronometric tasks associated with paradigms that allowed to explore how humans behave in contexts in which resistance to interference is needed. Among the different paradigms typically used, the Simon and flanker tasks are probably the most popular ones. Since their creation, many variants of these tasks have been developed in order to assess inhibitory control from different perspectives (e.g., in different samples or in combination with different research techniques). However, the use of these tasks has been typically governed by classical presentation modalities within laboratory settings. The accessibility of virtual reality technology has opened new research avenues to explore inhibitory skills using adaptations of classic paradigms such as the Simon and the flanker tasks to real-life contexts or settings. Thanks to virtual reality, research on executive function assessment can be undertaken with increased ecological validity, still ensuring laboratory-like controlled conditions and high precision in the measurements. Relying on this technology, here we present two state-of-the-art adaptations of the classical Simon and flanker tasks reinterpreted and adapted to real-world circumstances. Our results show that virtual reality is a reliable tool to assess inhibitory control that could provide valid experimental data with a high level of real-world transferability and generalizability.
A Reduced Complexity Hybrid Precoding for mmWave Systems
Authors: Abuhilal Hasan Saed 
Published: June 2022

Abstract
The emergence of millimeter wave (mmWave) communication signals leads a new era in wireless technology. High-bandwidth communication channels are available in the mmWave spectrum compared to the current commercial wireless systems. Wireless local and personal area networks in the unlicensed band, 5G cellular systems, as well as vehicle area networks, ad hoc networks, and wearables are just a few of the many uses for mmWave technology. The next generation of mmWave communication relies heavily on signal processing. Combined with radio frequency and mixed signal power limits, new multiple-input multiple-output (MIMO) communication signal processing techniques are necessary. Low-complexity transceiver techniques are required because of the large bandwidths. Compressed sensing techniques can be used for channel estimation and beamforming in the future. Channel matrix in mmWave MIMO systems has significant importance on the hybrid precoding systems. Most precoding techniques are working on processing the MIMO channel to find the optimum beamforming vectors. This article provides a significant study on reducing the MIMO channel complexity in order to find the optimum beamforming elements. The study shows that the spectral efficiency of the system can be slightly sacrificed to reduce the complexity of the system based on the MIMO channel matrix low rank decomposition. We show the derivation and simulation of the proposed system through MATLAB software after the mathematical modelling and verification of the system.
Gut Microbiome Variation in Pulmonary TB Patients with Diabetes or HIV Comorbidities
Authors: Morgan Portia Abena , Parbie Prince Kofi , Ntiamoah Desmond Opoku , Boadu Augustine Asare , Asare Prince , Lamptey Ivy Naa Koshie , Gorman Cecilia Nancy , Afreh Emmanuel , Asante-Poku Adwoa , Otchere Isaac Darko , Aboagye Sammy Yaw , YEBOAH-MANU DOROTHY 
Published: June 2022

Abstract
Background: The gut microbiota is known to play critical role in shaping the host immunity, and metabolism and influences the onset and progression of both communicable and non-communicable diseases. This study assessed the gut microbiome of tuberculosis (TB) cases with diabetes mellitus (DM) or HIV comorbidities before anti-TB therapy and after the intensive phase anti-TB therapy. Methods: Ninety cases comprising 60 TB-only, 23 TB-DM, 7 TB-HIV were recruited, among which 35 TB-only, 10 TB-DM, 5 TB-HIV were also sampled after 2 months of anti-TB treatment. Total gut microbiome was detected by 16S rRNA gene sequencing of DNA extracted from collected stool specimen. The taxonomic and functional diversity of the different groups were compared in addition to changes that could occur after 2 months antibiotics use. Results: Compared to the healthy controls, the gut microbiome of all the TB cohorts was characterized by a significant decreased alpha diversity and significant compositional changes. All the three TB cohorts were enriched with inflammatory related microorganisms of the genera Escherichia-shigella, Streptococcus, Enterococcus and Erysipelatoclostridium with depletion in beneficial taxa of the genera Faecalibacterium, Bifidobacterium and Clostridium. In pairwise comparison with the healthy controls, the TB-only cohort were enriched with Streptococcus and Erysipelatoclostridium, the TB-DM enriched with Bacteroides, and TB-HIV enriched with Escherichia-shigella, Dialister and Erysipelatoclostridium. After the intensive phase anti-TB therapy, there was general enrichment of the genera Erysipelotrichaceae_UCG 003, Veillonella and Fusobacterium.Conclusion: Our findings show a dysbiotic gut microbiome and associated increase in the number of inflammation related microorganism in gut of TB individuals with or without comorbidity.