Miracle-dz/UniFAR-FTUs huggingface dataset:
Segmenting, targeting, and positioning (stp) ofgenerational cohorts Y, Z and Alpha

The current paper has aimed to build an STP framework that aids marketers in decision-making and contributes to the theory-building of generation alpha. There is significantly less academic literature present on generation alpha which needs to be addressed scientifically. The current research is organised into three sections; the first section aims to point out the importance of generational cohort analysis from a marketing perspective of Segmenting, Targeting, and Positioning (STP) considering the latest marketing trends with consumer behaviour. The second section is dedicated to studying why generation alpha behaviour is essential to be understood by marketers in the current era. The last section discusses the different STP analysis outcome for the three generational cohorts Y, Z and alpha based on the desk review. A qualitative approach is adopted to analyse texts and contents from various sources to arrive at the findings from the latest trends in the marketing domain. The current paper has developed a conceptual model on the framework of STP addressing the three-generational cohorts from a behavioural perspective which academic scholars can further study. The study also serves as a guideline for future scholars who could test the model empirically.
A Retrospective Comparison of Interscalene Continuous Catheter Verse Single-Injection with Liposomal Bupivacaine in Total Shoulder Arthroplasty

Background: One common method of pain control for total shoulder arthroplasty is long-duration delivery of local anesthetic via interscalene brachial plexus block (ISB) with a continuous catheter. Alternatively, liposomal bupivacaine has also been administered as an ISB as a means to prolong the analgesic effect. This study was completed to measure the non-inferiority of single-injection ISB with liposomal bupivacaine compared with ISB continuous catheter for total shoulder arthroplasty. Methods: We performed a retrospective chart review of patients who underwent total shoulder arthroplasty using either an ISB continuous catheter or a single injection ISB with liposomal bupivacaine for post operative analgesia. The primary goal of this study was to determine if single-injection with liposomal bupivacaine conferred non-inferior pain scores compared to the continuous catheter. Secondary outcomes evaluated oxygen saturation as a measure of hemidiaphragmatic paresis, post operative opioid requirements, and difference in cost. Results: We identified 333 patients for the study: 126 received continuous catheter and 207 received single-injection with liposomal bupivacaine. The median length of stay was 1 day. Pain scores for those treated with single-injection with liposomal bupivacaine were non-inferior to pain scores of those treated with the continuous catheter on post-op days 0, 1 and 2. Pain scores were lower for single-injection with liposomal bupivacaine patients on days 3 and 4, however they did not reach statistical significance. There was no significant difference in oxygen saturation between the two groups. Both groups had similar daily morphine milligram equivalent requirements. Liposomal bupivacaine ISB was also found to be less expensive. Conclusion: Single-injection ISB with liposomal bupivacaine provides non-inferior analgesia at a reduced cost compared with continuous catheter ISB for total shoulder arthroplasty. How to cite this paper: Kenny, B.J., Schmidt, E.S. , Wozniak, A.W. and Byram, S.W. (2021) A Retrospective Comparison of Interscalene Continuous Catheter Verse Single-Injection with Liposomal Bupivacaine in Total Shoulder Arthroplasty. Open Journal of Anesthesiology, 11, 269-278. https://doi.org/10.4236/ojanes.2021. 119026 Received: July 29, 2021 Accepted: September 4, 2021 Published: September 7, 2021 Copyright © 2021 by author(s) and Scientific Research Publishing Inc. This work is licensed under the Creative Commons Attribution International License (CC BY 4.0). http://creativecommons.org/licenses/by/4.0/ Open Access
Grass size and butterfly pea inclusion modify the nutritional value of elephant grass silage

Abstract: The objective of this work was to evaluate the nutritional value of silages from tall-sized and dwarf elephant grass (Pennisetum purpureum) genotypes, intercropped or not with butterfly pea (Clitoria ternatea). The experiment was performed in randomized complete blocks, in a 4x2 factorial arrangement (four genotypes × two cropping systems). The genotypes intercropped or not with butterfly pea were: IRI-381 and Elephant B, tall sized; and Taiwan A-146 2.37 and Mott, dwarf. Forage was harvested 60 days after regrowth. In the silage from Mott grass intercropped with butterfly pea, lower contents of lignin (78.1 g kg-1), neutral detergent fiber (636.0 g kg-1), and neutral detergent insoluble protein (13.15 g kg-1), besides a greater dry matter recovery (873.3 g kg-1), were observed. The silage from Taiwan A-146 2.37 intercropped with the legume showed a greater crude protein content (136.1 g kg-1). In both silages, the ammonia nitrogen contents were quite reduced (26.4 g kg-1). However, greater residual water-soluble carbohydrate contents were observed in the silages from the intercrop (1.85 mg g-1) and from the Mott grass monocrop (1.51 mg g-1). Moreover, there was a lower in vitro dry matter digestibility (676.7 g kg-1) for the silage from the intercrop. Dwarf genotypes increase the nutritional value of elephant grass silage, compared with the tall-sized ones. Intercropping with butterfly pea improves silage fermentation characteristics, despite reducing its digestibility. Therefore, the ensilage of dwarf Mott elephant grass intercropped with butterfly pea shows more promising results.
TMEM147 promotes  hepatocellular carcinoma progress  by inducing EGFR/MAPK activity

Backgroud: Hepatocellular carcinoma (HCC) is characterized by rapid early proliferation and distant metastasis and is extremely difficult to treat. Aerobic glycolysis is a hallmark of abnormal glucose metabolism in cancer cells as has been shown to be associated with tumor proliferation and metastasis; however, the mechanisms underlying aerobic glycolysis remain unclear. Methods: Immunohistochemistry (IHC) and qRT-PCR was performed to investigate the association between TMEM147 expression and the clinicopathological characteristics and prognosis of patients with HCC. Loss- and gain-of function assays were performed to investigate the role of TMEM147 in proliferation, metastasis and glycolysis in vitro and vivo. Bioinformatic analysis and rescue assay were used to demonstrated the TMEM147 interacted with EGFR and promoted its retromer-mediated recycling back to the plasma membrane.Results: we identified TMEM147 as a protein that was highly expressed and associated with poor survival in patients with HCC. Both gain- and loss-of-function studies revealed that TMEM147 acted as a key oncoprotein by promoting HCC growth, metastasis, and glycolysis via the EGFR/ MAPK signaling pathway. Mechanistically, TMEM147 interacted with EGFR and promoted its retromer-mediated recycling back to the plasma membrane, thus increasing the stability of EGFR and prolonging activation of the downstream MAPK pathway.Conclusion: Collectively, these results demonstrated the role and functional mechanism of TMEM147 in HCC, and indicated that TMEM147 may represent a prognostic biomarker and potential therapeutic target for HCC.
Data-independent acquisition-based quantitative proteomic analysis of m.3243A>G MELAS reveals novel potential pathogenesis and therapeutic targets

The pathogenesis of mitochondrial myopathy, encephalopathy, lactic acidosis and stroke like episodes (MELAS) syndrome has not been fully elucidated. The m.3243A > G mutation which is responsible for 80% MELAS patients affects proteins with undetermined functions. Therefore, we performed quantitative proteomic analysis on skeletal muscle specimens from MELAS patients. We recruited 10 patients with definitive MELAS and 10 age- and gender- matched controls. Proteomic analysis based on nanospray liquid chromatography-mass spectrometry (LC-MS) was performed using data-independent acquisition (DIA) method and differentially expressed proteins were revealed by bioinformatics analysis. We identified 128 differential proteins between MELAS and controls, including 68 down-regulated proteins and 60 up-regulated proteins. The differential proteins involved in oxidative stress were identified, including heat shock protein beta-1 (HSPB1), alpha-crystallin B chain (CRYAB), heme oxygenase 1 (HMOX1), glucose-6-phosphate dehydrogenase (G6PD) and selenoprotein P. Gene ontology and kyoto encyclopedia of genes and genomes pathway analysis showed significant enrichment in phagosome, ribosome and peroxisome proliferator-activated receptors (PPAR) signaling pathway. The imbalance between oxidative stress and antioxidant defense, the activation of autophagosomes, and the abnormal metabolism of mitochondrial ribosome proteins (MRPs) might play an important role in m.3243A > G MELAS. The combination of proteomic and bioinformatics analysis could contribute potential molecular networks to the pathogenesis of MELAS in a comprehensive manner.
Extended-Dissipativity-Based Adaptive Event-Triggered Control for Stochastic Polynomial Fuzzy Singular Systems

This article deals with the extended-dissipativity-based adaptive event-triggered (AET) control problem for stochastic polynomial fuzzy singular systems (SPFSSs). The purpose of this work is to design a state-feedback controller through the AET mechanism, which not only makes the closed-loop system admissible and extended dissipative, but also saves the network resources. First, with a suitable Lyapunov–Krasovskii functional and an integral inequality in stochastic setting, an AET control criterion of SPFSSs considering asynchronous premise is established to ensure the mean-square admissibility and extended dissipativity of the closed-loop singular system. Additionally, a simple lemma is employed to approximate the nonconvex sum-of-squares (SOS) conditions with the convex SOS conditions due to the difficulty in solving the nonconvex SOS design conditions. Then, both the desired feedback controller gain and the event-triggered weighting polynomial matrix are codesigned based on the derived criterion. Finally, simulation examples are provided to illustrate the effectiveness of the proposed approaches.
Optimizing NB-IoT Power Consumption via Adaptive Radio Access

Narrowband Internet of Things (NB-IoT) standardized by the 3GPP has attracted significant attention since its appearance. It provides extended coverage, high capacity, reduced device processing complexity, and low-power consumption to meet the requirements of a wide range of IoT applications. In particular, NB-IoT is expected to bring IoT devices prolonged lifetime up to ten years. Radio access (RA) plays a key role in the total power consumption of NB-IoT devices. Specifically, the enhanced coverage levels (ECLs) configure the user equipment (UE) with different random-access resources and power consumption during packet transmissions. In this article, we examine the ECL selection strategies for reducing the power consumption of NB-IoT. We develop two testbeds to conduct extensive field measurements related to ECL selection. Based on the measurement results, we analyze the key issues in the ECL selection process. Then, we propose an adaptive RA approach for UE, which includes two novel strategies for predictive ECL selection and opportunistic packet transmission. Evaluations show that, with the configuration of ECL selected by our adaptive approach, the UE can reduce the radio power consumption up to 36% while maintaining the same block error rate (BLER) during uploading under real-world settings.
Students’ perceptions of tertiary tourism education and careers during the Covid-19 pandemic

ABSTRACT Covid-19 causes significant disruption and creates challenges for international student recruitment while raising questions about the future attractiveness of tourism careers. To identify if, how and why the perceptions of tourism education and careers have changed, 24 interviews were conducted with students currently enrolled in a tertiary tourism management degree at two New Zealand universities and explored through the theory of planned behaviour. Disruption induced by Covid-19 predominantly strengthened students’ commitment to their previously selected career. Prepared to find alternative employment options throughout the initial recovery period due to a perceived lack of behavioural control, the ability to utilize their degree to induce positive change and make a lasting difference to redesign tourism for the better overrode increasingly negative subjective norms and initial doubt and anxiety. As a result, students held predominantly optimistic attitudes towards future tourism careers and perceived a potentially higher future value of a tertiary tourism degree.
Machine Learning and Integrative Analysis Reveals Stemness Index-associated Signature in Acute Myeloid Leukemia

Background: The rapidly growing research in leukemia has provided unequivocal proof that cancer stem cells exist in acute myeloid leukemia. However, the mechanisms of the growth and self-renewal of acute myeloid leukemia stem cells (LSCs), which play an important role in the development of AML, were still elusive. Methods: We first used a trained stemness index model based on a recently described machine learning method one-class logistic regression (OCLR) to score AML samples. We then obtained the mRNA expression based-index (mRNAsi), DNA methylation based-index (mDNAsi), and epigenetic regulation based-index (EREG-mRNAsi). With the acquired three stemness indices, we investigated the relationship between the stemness index and the tumor immune microenvironment/somatic mutation, clinical characteristics of AML patients. Furthermore, a weighted gene co-expression network analysis (WGCNA) and protein-protein interaction (PPI) network were performed to obtain key genes associated with the stemness index. Bedsides, GO and KEGG enrichment analysis was performed to explore the biological functions. Finally, we validated the key genes by applying it to the Oncomine and GEO datasets.Result: The results suggested that EREG-mRNAsi might accurately predict overall survival (OS) in AML patients from TCGA, while the mRNAsi and mDNAsi was not significantly statistically associated with the OS. Furthermore, the mRNAsi was significantly correlated with the clinical characteristics of the FAB category, age, gender, immune score, WT1, and CEBPA mutation. Additionally, the EREG-mRNAsi was significantly associated with the cytogenetics risk category, TP53 mutation. The mDNAsi was significantly associated with the FAB-category, NPM1, IDH1, IDH2, and DNMT3A mutation. Several key genes related to the stemness index of AML were indicated to be possible and promising therapeutic targets for inhibiting LSCs in AML.Conclusions: Our research based on machine learning and WGCNA analysis revealed a set of key genes contributed to the stemness index of AML. These genes may become therapeutic targets to inhibit the LSCs of AML in the future.
The Interactive Impact of Demand Sharing Effect and Reduced Misfit Effect on Application Compatibility

In this article we study compatibility choices of two competing applications from an alternative perspective that considers demand sharing effect and reduced misfit effect to explain differences between the compatible and incompatible cases. We construct a game-theoretic model in which an application with two main businesses tries to share its exclusive demand of its unique business with its rival application on their competing business. We find that incentives to establish one-way compatibility—the application with exclusive demand grants access to its competitor—arise from the decrease of the reduced misfit cost while it may either arise or disappear from the decrease of the shared demand. In addition, consumer surplus increases in the reduced misfit cost and the shared demand. Moreover, we find the compatible case generates more social welfare than the incompatible case. And we find when the reduced misfit cost is beyond a threshold, the horizontal differentiation of the two applications is reduced to a lower level in the compatible case and the price competition is intensified in this situation. However, when the reduced misfit cost is less than a threshold, the price competition of the two applications can either be softened or intensified by compatibility, depending on the degree of shared demand.
Practices of strength and conditioning coaches in professional sports: a systematic review

The practices of strength and conditioning (S&C) coaches have been reported in various professional sports. This study aims to comprehensively assess this available evidence to help establish whether theoretical, practical, and evidence-based guidelines align with the practices employed by these experienced S&C coaches. Three databases were searched (PubMed, SPORTDiscus, and Cochrane) until November 2020. Studies surveying the practices of S&C coaches in professional sports using a survey design with common questions, written in English, and published in peer-reviewed journals were reviewed. Eight studies (n = 318 S&C coaches) were finally included. All studies adapted a similar survey, providing a strong basis for comparison between sports. Periodization strategies were widely used (89%), with training volume consistently reduced during the in-season period. Olympic weightlifting was commonly used across sports, except in baseball (29%). Plyometric exercises were predominantly prescribed for speed development (74%) and lower body power (68%), which were mostly programed as complex training (45%) and conducted all year round (52%). Flexibility exercises were mostly performed before practice (83%) for 6–10 min (40%). Physical tests were mainly conducted during the preseason period (66%), with body composition (86%) being the most used test. S&C coaches generally adhered to current guidelines and research in S&C concerning training prescription and physical testing. Whereas, intersport differences were also noted and further discussed. Results of this study can be used by S&C coaches to plan, implement, and review their professional practices. Furthermore, may inform the development of general and sport-specific guidelines, and future research in S&C.
Self-Supervised Depth Completion From Direct Visual-LiDAR Odometry in Autonomous Driving

In this work, a simple yet effective deep neural network is proposed to generate the dense depth map of the scene by exploiting both LiDAR sparse point cloud and the monocular camera image. Specifically, a feature pyramid network is firstly employed to extract feature maps from images across time. Then the relative pose is calculated by minimizing the feature distance between aligned pixels from inter-frame feature maps. Finally, the feature maps and the relative pose are further applied to compute the feature-metric loss for training the depth completion network. The key novelty of this work lies in that a self-supervised mechanism is presented to train the depth completion network by directly using visual-LiDAR odometry between consecutive frames. Comprehensive experiments and ablation studies on benchmark dataset KITTI demonstrate the superior performance over other state-of-the-art methods in terms of pose estimation and depth completion. The detailed performance of the proposed approach (referred to as SelfCompDVLO) can be found on the KITTI depth completion benchmark. The source code, models, and data have been made available at GitHub.
A Study on Advanced Surgical Neurooncology

A neurosurgery is made by Helicase 4 to 6 genes of Epstein Barr Virus (4 to 6 Helicase gene of EBV); for this was it is made to surge tumor cells in patients of Medulloblastoma and Glioma in both animals and human clinical trial phase-III. In this case it will act by surgical procedure himself (surgical Neurooncology procedure) by acting as neurosurgeon inside tumor cells in both patients of Medulloblastoma and Glioma of human and mice phase –III; in this case the well doing is seizure of gene 5 of EBV and the other is scalpel. Of these tumors (Medulloblastoma and Glioma) of animal cells and human 10% were fully treated by removing NOTCHES of c-AMP of Medulloblastoma (neuroprimitive ectodermal tumors of cerebellum in embryo and children) and primitive neuroectodermal sheath of skull (Glioma in young and adults) by Helicase gene 4 and 6 (scalpel process). Other issue is to find a medium inside cerebrospinal fluid (CSF) of both tumors by Helicase gene itself in destroying plasmodesmata between cells of tumor by artificial plasmosomes (synthesized in self-funded laboratories). The EBV is fully power in its enzyme (Helicase gene from 4 to 6 with fully length density 2000 of plasmosomes due to it will act as a neurosurgeon in its needed. Other thing it will act as scalpel in its issue without any toxic side effects.
Semantic Fluency Predicts Gait Velocity in PSP

Context: Progressive supranuclear palsy (PSP) is a large-scale network disease resulting in variable signs and symptoms including gait impairment and higher order cognitive dysfunction. Despite few studies showing the association of falls and cognitive dysfunction, the existing literature is yet to establish the exact relationship of discrete characteristics of gait with cognitive function in PSP. Aims: In this cross-sectional study, we aimed to characterize and explore the relationship of these two apparently distinct physiological phenomena in patients with PSP and across its different variants. Methods and Material: Quantitative assessment of two-dimensional gait parameters was measured using an electronic walkway (GAITRite®). Dementia Rating Scale-2 was used to assess global as well as higher order cognitive functions. Statistical Analysis Used: A regression model was used to interpret results. Results: We observed that the variability domain of gait was significantly impaired in PSP patients with severe cognitive impairment compared to that of intact cognition. Moreover, initiation/perseveration (I/P), a higher order cognitive process, and one of its specific components, i.e., complex verbal task (β = 2.39, P < 0.001), significantly predict gait velocity in PSP [F (1, 40) = 16.102, P < 0.001]. Conclusions: Our findings indicate that the severity of cognitive functions affects gait variability, which might lead to frequent falls as observed in PSP. Furthermore, semantic fluency task of I/P function may act as a predictor of gait velocity. We suspect that higher order cognitive dysfunction through the damage of frontal lobe structure including dorsolateral prefrontal cortex or related network may influence gait in PSP.
LEAVEN - Lightweight Surface and Volume Mesh Sampling Application for Particle-based Simulations

We present an easy-to-use and lightweight surface and volume mesh sampling standalone application tailored for the needs of particle-based simulation. We describe the surface and volume sampling algorithms used in LEAVEN in a beginner-friendly fashion. Furthermore, we describe a novel method of generating random volume samples that satisfy blue noise criteria by mod- ifying a surface sampling algorithm. We aim to lower one entry barrier for starting with particle-based simulations while still pose a benefit to advanced users. The goal is to provide a useful tool to the community and lowering the need for heavyweight third-party applications, especially for starters