Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Analysis Reveals Novel Changes in Plasma Metabolites and Metabolomic Networks of Infants With Retinopathy of Prematurity

Purpose Advances in mass spectrometry have provided new insights into the role of metabolomics in the etiology of several diseases. Studies on retinopathy of prematurity (ROP), for example, overlooked the role of metabolic alterations in disease development. We employed comprehensive metabolic profiling and gold-standard metabolic analysis to explore major metabolites and metabolic pathways, which were significantly affected in early stages of pathogenesis toward ROP. Methods This was a multicenter, retrospective, matched-pair, case-control study. We collected plasma from 57 ROP cases and 57 strictly matched non-ROP controls. Non-targeted ultra-high-performance liquid chromatography–tandem mass spectroscopy (UPLC-MS/MS) was used to detect the metabolites. Machine learning was employed to reveal the most affected metabolites and pathways in ROP development. Results Compared with non-ROP controls, we found a significant metabolic perturbation in the plasma of ROP cases, which featured an increase in the levels of lipids, nucleotides, and carbohydrate metabolites and lower levels of peptides. Machine leaning enabled us to distinguish a cluster of metabolic pathways (glycometabolism, redox homeostasis, lipid metabolism, and arginine pathway) were strongly correlated with the development of ROP. Moreover, the severity of ROP was associated with the levels of creatinine and ribitol; also, overactivity of aerobic glycolysis and lipid metabolism was noted in the metabolic profile of ROP. Conclusions The results suggest a strong correlation between metabolic profiling and retinal neovascularization in ROP pathogenesis. These findings provide an insight into the identification of novel metabolic biomarkers for the diagnosis and prevention of ROP, but the clinical significance requires further validation.
College Preparatory Schools and Critical Consciousness

Critical Consciousness (CC) is a construct that has been linked to political motivation and behaviors intended to circumvent oppression. Much of the work to date has examined CC for students of marginalized backgrounds and has paid little attention to how CC develops for privileged students. Additionally, while much of the CC literature has examined characteristics of schools that are linked with CC (i.e., school/classroom climate), no studies have inquired into the nature of the larger school setting as impacting CC-development. This study proposes that one school setting that may be related to both privilege (i.e., race and SES) and classroom climate are College Preparatory High Schools. Therefore, the current study contributes to the literature by examining the structural relations between privilege, College Preparatory High School enrollment, classroom climate, and two dimensions of CC: Critical Reflection (CR) and Critical Motivation (CM). Results indicate that controlling for race, SES is predictive of College Preparatory High School enrollment. Furthermore, College Preparatory High School enrollment is directly related to CM but not CR, and is indirectly related to both CR and CM through classroom climate. The implications of these findings are discussed.
Evaluating the Associations between Forward Collision Warning Severity and Driving Context

Forward collision warning (FCW) systems typically employ forward sensing technologies to identify possible forward collisions and provide an alert to the driver in the event they have not recognized a threat. These systems have demonstrated safety benefits. However, because the base rate of collisions is low, sensitive FCW systems can provide a high rate of alarms in situations with no or low probability of collision, which may negatively impact driver responsiveness and satisfaction. We examined over 2000 naturally occurring FCWs in two modern vehicles as a part of a naturalistic driving study investigation into advanced vehicle technologies. Analysts used cabin and forward camera footage, as well as environmental characteristics, to judge the likelihood of a crash during each alert, which were used to model the likelihood of an alert representing a possible collision. Only nine FCWs were considered “crash possible and imminent”. Road-type, speed, traffic density, and deceleration profiles distinguished between alert severity. Modeling outcomes provide clues for reducing nuisance and false alerts, and the method of using subjective video annotation combined with vehicle kinematics shows promise for investigating FCW alerts in the real world.
The design of a Linear CCD driving circuit based on CPLD

Concerning deficiency occurred in the traditional CCD driving circuit,and severe disturbance may happy especially during driving circuit working under high frequency,which leads the system to work unsteadily.In this case a design scheme for linear CCD driving circuit is proposed,in which CPLD technology is adopted to design the driving timing of image sensors ILX526A.The CPLD shall be programmed with VHDL by adopting developing system MAXPLUSⅡ,which is simulated and tested then for research.The results obtained from simulation and test show that the drive circuit designed is provided with good universality,that is to say,some slight modifications of procedures may achieve a design for the other types of CCD drive circuit.Therefore,the scheme provides significant reference value for the design of CCD driving circuit.
Heterogeneous Ribonucleoprotein A1 (hnRNPA1) Interacts with the Nucleoprotein of the Influenza a Virus and Impedes Virus Replication

Influenza A virus (IAV), like other viruses, depends on the host cellular machinery for replication and production of progeny. The relationship between a virus and a host is complex, shaped by many spatial and temporal interactions between viral and host proteome, ultimately dictating disease outcome. Therefore, it is imperative to identify host-virus interactions as crucial determinants of disease pathogenies. Heterogeneous ribonucleoprotein A1 (hnRNPA1) is an RNA binding protein involved in the life cycle of many DNA and RNA viruses; however, its role in IAV remains undiscovered. Here we report that human hnRNPA1 physically interacts with the nucleoprotein (NP) of IAV in mammalian cells at different time points of the viral replication cycle. Temporal distribution studies identify hnRNPA1 and NP co-localize in the same cellular milieu in both nucleus and mitochondria in NP-transfected and IAV-infected mammalian cells. Interestingly, hnRNPA1 influenced NP gene expression and affected viral replication. Most importantly, hnRNPA1 knockdown caused a significant increase in NP expression and enhanced viral replication (93.82%) in IAV infected A549 cells. Conversely, hnRNPA1 overexpression reduced NP expression at the mRNA and protein levels and impeded virus replication by (60.70%), suggesting antagonistic function. Taken together, results from this study demonstrate that cellular hnRNPA1 plays a protective role in the host hitherto unknown and may hold potential as an antiviral target to develop host-based therapeutics against IAV.
Event-Based Clustering with Energy Data

This paper describes a stochastic clustering architecture that is used in the paper for making predictions over energy data. The design is discrete, localised optimisations based on similarity, followed by a global aggregating layer, which can be compared with the recent random neural network designs, for example. The topic relates to the IDEAS Smart Home Energy Project, where a client-side Artificial Intelligence component can predict energy consumption for appliances. The proposed data model is essentially a look-up table of the key energy bands that each appliance would use. Each band represents a level of consumption by the appliance. This table can replace disaggregation from more complicated methods, usually constructed from probability theory, for example. Results show that the table can accurately disaggregate a single source to a set of appliances, because each appliance has quite a unique energy footprint. As part of predicting energy consumption, the model could possibly reduce costs by 50% and more than that if the proposed schedules are also included. The hyper-grid has been changed to consider rows as single units, making it more tractable. A second case study considers wind power patterns, where the grid optimises over the dataset columns in a self-similar way to the rows, allowing for some level of feature analysis.
A framework for interprofessional team collaboration in a hospital setting: Advancing team competencies and behaviours

Healthcare teams that practice collaboratively enhance the delivery of person-centred care and improve patient and systems outcomes. Many organizations have adopted existing interprofessional frameworks that define the competencies of individual health professionals that are required to meet practice standards and advance interprofessional goals. However, to support the collective efforts of team members to deliver optimal care within complex hospital settings, healthcare organizations may benefit from adopting team-based competencies for interprofessional collaboration. The Sunnybrook framework for interprofessional team collaboration was intentionally created as a set of collective team competencies. The framework was developed using a comprehensive literature search and consensus building by a multi-stakeholder working group and supported by a broad consultation process that included patient representation, organizational development and leadership, and human resources. The six core competencies are actionable and include associated team behaviours that can be easily referenced by teams and widely implemented across the hospital.
Analysis of Advantages and Problems in Teaching and Assessment with Online System during Covid-19

During Covid-19 spread over, throughout the world, online classes were arranged at school and University level. In certain institutions, the experiments of online systems were successful while in certain cases difficulties were observed and reported. In this paper, we are interested to highlight and analyze the problems occurring in assessment and evaluation. The delivery of lectures and grades assessment, comparison of time spent on in-class lectures and online, the provided infrastructure and technology to faculty and its synchronization with that arranged by students. The objective type questions are automatically marked by the system for example Moodle, whereas the essay type (subjective type) questions are normally preferred to be marked by faculty on the system. This is indeed a facility that all students are provided with different question papers. The online system is more economical, time-saving and easily usable. The most serious issues have been unfair means and cheating used by students during examinations. A detailed analysis of the state-of-the-art is presented in this paper. We also present a comparison of online and in-class teaching and assessment, but irresistibly the benefits of online system are more advantageous. For example, a lot of stationary is saved. The online system causes breaks and pauses during delivery of lessons due to instability of internet and concavity issues. The most important is the choice concerning system subject to available facility with leaner and the faculty and its compatibility with emphasis on technology. The use of anti-cheating software makes the examination secure.
Diffusion Pixelation: A Game Diffusion Model of Rumor & Anti-Rumor Inspired by Image Restoration

This study is inspired by the current image restoration technology. If we regard the users participating in the rumor as image pixels, similar to social networks, the recovery of pixel data is affected by the pixels themselves and neighbor pixels, then the prediction of user behavior in the rumor diffusion can be regarded as the process of image restoration for pixel-blurred user behavior images. We first propose a Diffusion2pixel algorithm that transforms the user relationship network of topic diffusion into image pixel matrix. To cope with the diversity and complexity of the diffusion feature space, the user relationship network is reduced to a low-rank dense vectorization by representation learning before being pixelated by cutting and diffusion. Second, considering the competitive relationship between rumor and anti-rumor, transition matrix of rumor mutual influences is established by evolutionary game theory. A mutual influence model of rumor and anti-rumor is then proposed. Finally, we combine the transition matrix of rumor mutual influence into a simple prediction method Graph-CNN of rumor and anti-rumor topic diffusion based on dynamic iteration mechanism. Experiments confirmed the proposed model can effectively predict the group diffusion trends of rumor, and reflects the competitive relationship between rumor and anti-rumor.
Effects of Resistance Training on Skin Temperature and Its Relationship with Central Nervous System (CNS) Activation

The aim of this work was to relate the activation of the sympathetic and parasympathetic nervous systems with the skin temperature (Tsk) of the lower limbs after a resistance training exercise. Under controlled conditions, the average Tsk in the areas of the anterior and posterior thighs, knees and legs was obtained with a thermal imager and the parasympathetic and sympathetic activation was registered with an Omegawave® device on 20 healthy and trained male volunteers (25.39 ± 8.21 years) before exercise, immediately after standard resistance training (3 exercises (2 quadriceps + 1 hamstrings) × 4 sets × 10 repetitions (70% 1RM), 90-sec recovery) and after 20 min of recovery. The results showed a significant effect of exercise and recovery on Tsk in all regions of interest (ROIs) considered (p < 0.05) and strong inverse relationships between sympathetic and parasympathetic activation values. Significant results were found for the total variation of Tsk (p < 0.05) with highly positive values for subjects with lower sympathetic activation and almost null or even negative values for those with higher sympathetic activation. Sympathetic activity was a significant predictor of total Tsk variation in the anterior thigh, posterior thigh and anterior knee but not in the posterior knee, anterior leg, and posterior leg. Baseline Tsk was a significant predictor of total Tsk variation the all ROIs except in the posterior knee. Tsk measured by thermography could be used to estimate the level of participation of muscle areas in exercise and registering the level of sympathetic activation before exercise could be interesting in predicting the athlete’s physiological response to strength training.
Competence-Based Readiness of Future Teachers to Professional Activity in Educational Institutions

The purpose of the scientific treatise is to investigate and intensify competence-based readiness of future teachers to professional activities in educational institutions, namely, the interrelated competencies of leaders’ communication competence (LCC) and communication components of global competence (GC). To do this, jigsaw activities & opinion sharing methods were applied to the educational environment of the students of the experimental group. In the process of achieving the goal of research the following methods were used: qualitative-quantitative and contrastive-comparative analysis of the obtained experimental data, statistical-mathematical interpretation of empirical data and their functional analysis, ascertaining experiment method and educational experiment method. The results of the educational experiment prove that on average the representatives of the experimental group managed to score 11.9 points more (9.6%) in accordance with the developed diagnostic paradigm of advanced communicative traits of modern teacher. The improvement of communicative competencies in the behaviour component was the most noticeable within the communication components of GC. The result is 10.0% higher in the experimental group, especially regarding the Skills component both within the LCC (10.3% higher in the experimental group) and within the communication components of GC (the difference here was 17.5%). The applied methods confirmed the positive effect on the development of vocationally orientated communicative competencies of student teachers.
The Associations of Single Nucleotide Polymorphisms with Risk and Symptoms of Irritable Bowel Syndrome

Although several risk single nucleotide polymorphisms (SNPs) have been found to play an important role in etiology of irritable bowel syndrome (IBS), the findings are inconsistent. A descriptive correlational design was used to analyze the baseline data of a randomized controlled trial including participants with IBS and healthy controls (HC). Pain severity and interference, anxiety, sleep, and fatigue were measured using the Brief Pain Inventory (BPI) and patient-reported outcomes measurement information system (PROMIS). Fisher’s exact test and multivariate linear regression were used to investigate the associations between IBS risk alleles and IBS symptoms. Participants were predominantly female, white, and had an average age of 21.13 ± 2.42 years. Polymorphisms within TNFSF15 (rs4263839), SLC6A4 5-HTTLPR, HTR3A (rs1062613), and OXTR (rs2254298) were associated with IBS risk, and TNFSF15 (rs4263839), COMT (rs6269), SLC6A4 5-HTTLPR polymorphisms were associated with pain severity. TNFSF15 (rs4263839) and COMT (rs4680; rs4633) genotypes were associated with sleep disturbance, and the ADRA1D SNP rs1556832 was associated with fatigue in both IBS and HC groups. Genotypic differences were associated with IBS risk and symptoms including abdominal pain, sleep disturbance, and fatigue. Further investigation is warranted to reveal the mechanisms by which these genetic variations influence the dynamic nature of IBS symptoms over time.
Effects of shell-integrated Sudan Black dye on the acoustic activity and ultrasound imaging properties of lipid-shelled nanoscale ultrasound contrast agents

Abstract. Significance: An effective contrast agent for concurrent multimodal photoacoustic (PA) and ultrasound (US) imaging must have both high optical absorption and high echogenicity. Integrating a highly absorbing dye into the lipid shell of gas core nanobubbles (NBs) adds PA contrast to existing US contrast agents but may impact agent ultrasonic response. Aim: We report on the development and ultrasonic characterization of lipid-shell stabilized C3F8 NBs with integrated Sudan Black (SB) B dye in the shell as dual-modal PA-US contrast agents. Approach: Perfluoropropane NBs stabilized with a lipid shell including increasing concentrations of SB B dye were formulated by amalgamation (SBNBs). Physical properties of SBNBs were characterized using resonant mass measurement, transmission electron microscopy and pendant drop tensiometry. Concentrated bubble solutions were imaged for 8 min to assess signal decay. Diluted bubble solutions were stimulated by a focused transducer to determine the response of individual NBs to long cycle (30 cycle) US. For assessment of simultaneous multimodal contrast, bulk populations of SBNBs were imaged using a PA and US imaging platform. Results: We produced high agent yield (∼1011) with a mean diameter of ∼200 to 300 nm depending on SB loading. A 40% decrease in bubble yield was measured for solutions with 0.3 and 0.4 mg / ml SB. The addition of SB to the shell did not substantially affect NB size despite an increase in surface tension by up to 8 mN / m. The bubble decay rate increased after prolonged exposure (8 min) by dyed bubbles in comparison to their undyed counterparts (2.5-fold). SB in bubble shells increased gas exchange across the shell for long cycle US. PA imaging of these agents showed an increase in power (up to 10 dB) with increasing dye. Conclusions: We added PA contrast function to NBs. The addition of SB increased gas exchange across the NB shell. This has important implications in their use as multimodal agents.
Diversity of the tussock moths (Lepidoptera, Erebidae, Lymantriinae) of the wider Maputaland-Pondoland-Albany, with special reference to the fauna of Mozambique

Maputaland-Pondoland-Albany, one of the African biodiversity hotspots, is defined by a high diversity of its fauna and flora. Despite numerous studies published about the Lepidoptera of this region, our knowledge of diversity and distributional patterns of moths still remains inadequate. Our study evaluates the tussock moth richness and endemism of the wider Maputaland-Pondoland-Albany region. We describe for the first time the variety of the tussock moth fauna of Mozambique, with seven newly recorded genera (Euproctoides Bethune-Baker, 1911; Heteronygmia Holland, 1893; Leucoma Hübner, 1822; Ogoa Walker, 1856; Paraproctis Bethune-Baker, 1911; Polymona Walker, 1855; Tamsita Kiriakoff, 1954).
Screening and functional validation of lipid metabolism-related lncRNA-46546 based on the transcriptome analysis of early embryonic muscle tissue in chicken

Objective The study was conducted to screen differentially expressed long noncoding RNA (lncRNA) in chickens by high-throughput sequencing and explore its mechanism of action on intramuscular fat deposition. Methods Herein, Rose crown and Cbb broiler chicken embryo breast and leg muscle lncRNA and mRNA expression profiles were constructed by RNA sequencing. A total of 96 and 42 differentially expressed lncRNAs were obtained in Rose crown vs Cobb broiler chicken breast and leg muscle, respectively. lncRNA-ENSGALT00000046546, with high interspecific variability and a potential regulatory role in lipid metabolism, and its predicted downstream target gene 1-acylglycerol-3-phosphate-O-acyltransferase 2 (AGPAT2), were selected for further study on the preadipocytes. Results lncRNA-46546 overexpression in chicken preadipocyte 2 cells significantly increased (p<0.01) the expression levels of AGPAT2 and its downstream genes diacylglycerol acyltransferase 1 and diacylglycerol acyltransferase 2 and those of the fat metabolism-related genes peroxisome proliferator-activated receptor γ, CCAAT/enhancer binding protein α, fatty acid synthase, sterol regulatory element-binding transcription factor 1, and fatty acid binding protein 4. The lipid droplet concentration was higher in the overexpression group than in the control cells, and the triglyceride content in cells and medium was also significantly increased (p<0.01). Conclusion This study preliminarily concludes that lncRNA-46546 may promote intramuscular fat deposition in chickens, laying a foundation for the study of lncRNAs in chicken early embryonic development and fat deposition.