Miracle-dz/UniFAR-FTUs huggingface dataset:
Mesenchymal stem cells surpass the capacity of bone marrow aspirate concentrate for periodontal regeneration

Abstract Regenerative approaches using mesenchymal stem cells (MSCs) have been evaluated to promote the complete formation of all missing periodontal tissues, e.g., new cementum, bone, and functional periodontal ligaments. MSCs derived from bone marrow have been applied to bone and periodontal defects in several forms, including bone marrow aspirate concentrate (BMAC) and cultured and isolated bone marrow mesenchymal stem cells (BM-MSCs). This study aimed to evaluate the periodontal regeneration capacity of BMAC and cultured BM-MSCs in the wound healing of fenestration defects in rats. Methodology: BM-MSCs were obtained after bone marrow aspiration of the isogenic iliac crests of rats, followed by cultivation and isolation. Autogenous BMAC was collected and centrifuged immediately before surgery. In 36 rats, fenestration defects were created and treated with suspended BM-MSCs, BMAC or left to spontaneously heal (control) (N=6). Their regenerative potential was assessed by microcomputed tomography (µCT) and histomorphometry, as well as their cell phenotype and functionality by the Luminex assay at 15 and 30 postoperative days. Results: BMAC achieved higher bone volume in 30 days than spontaneous healing (p<0.0001) by enhancing osteoblastic lineage commitment maturation, with higher levels of osteopontin (p=0.0013). Defects filled with cultured BM-MSCs achieved higher mature bone formation in early stages than spontaneous healing and BMAC (p=0.0241 and p=0.0143, respectively). Moreover, significantly more cementum-like tissue formation (p<0.0001) was observed with new insertion of fibers in specimens treated with BM-MSCs within 30 days. Conclusion: Both forms of cell transport, BMAC and BM-MSCs, promoted bone formation. However, early bone formation and maturation were achieved when cultured BM-MSCs were used. Likewise, only cultured BM-MSCs were capable of achieving complete periodontal regeneration with inserted fibers in the new cementum-like tissue.
Nonlinear control study on aircraft engine using a generalized minimum variance approach

With the requirements of the advanced propulsion systems for aircraft control performance increasing, it has attracted the attention to design more efficient controller that is based on the nonlinear model over the flight envelope directly. A nonlinear aircraft engine control method based on generalized minimum variance approach is studied. A nonlinear autoregressive with extra input aircraft engine model for a certain turbofan engine is built and is chosen as the control plant in this study. Then, a controller is designed for the identification model based on the nonlinear generalized minimum variance theory. And simulation results manifest the controller to satisfy the requirements of the tracking with the transient process and the regulation with the steady process.
Research on the Design of VR Tourism Service System Based on Deep Learning and Emotional Experience

VR tourism has become an important part of mass tourism. With the advent of the “VR +” era and changes in public consumption habits, tourism must integrate VR, AR and other new technological means of high-quality development and innovative transformation and upgrading. Firstly, the concept of VR + tourism is clarified, and then the biggest problem in the current tourism development is the lack of application of new technologies and the lack of professional talents for local needs. For tourism enterprises, service providers, tourists, service facilities and scenarios, and service processes are all key elements in the implementation of emotional experiences. Possible elements of emotional experience in tourism services include designing attractive tourism experience themes, enhancing the experience value of tourism services, displaying experiential tourism tangibles, creating an atmosphere for interactive tourism experiences, and attaching importance to sensory stimulation for tourists.
Direct Load Cell-Based Weighing Lysimeter System

A low-cost weighing lysimeter system is described which is capable of measuring evapotranspiration with an accuracy of 0.05-0.10 mm. A two-lysimeter system with electronic data logger can be installed for a cost of $15,000 for 1 m 2 surface dimensions and $25,000 for 2 m 2 surface dimensions. With underground placement of cantilevered load cells, the 1 m 2 system can measure evapotranspiration for periods as short as 30 minutes. The lysimeter tank and load cell mounting is described and necessary datalogger operation and programming to obtain high accuracy is discussed. Problems with electronic system noise and drifting of zero-points of load cells due to thermal changes are described. Comparison of lysimeter measurements at Logan, Utah with aerodynamic energy balance, and Penman-Monteith methods are made.
Particle Swarm Optimization With Varied Social Network for Reliable Parameter Estimation in Thermal Analysis of Electrical Machines

This article presents a new variant of particle swarm optimization (PSO) algorithm, which was developed for a reliable parameter estimation in thermal analysis of electrical machines. The proposed algorithm uses a varied social network, where both number and size of the network (local neighborhoods) are randomly adjusted during the optimization process. Such approach has been introduced here to assure improved diversity of the PSO and consequently a more reliable and robust search of the solution space. A case study parameter estimation for a reduced-order thermal-equivalent-circuit (TEC) of an electrical machine has been used to demonstrate effectiveness of the proposed method. The analyzed black-box parameter estimation relies on the input and output data (demand data) from a short-transient finite-element-analysis (FEA) of a complete machine assembly. The proposed PSO variant has been benchmarked with a selection of the existing state-of-the-art PSO algorithms, which employ alternative social network schemes with the network parameters dynamically varied. The statistical data gathered from multiple runs of the PSO-based estimation suggests that the proposed new approach offers considerable improvements in terms of accuracy, efficiency, reliability, and robustness as compared with the alternative PSO algorithms.
Thirty years of GCSE: A review of student views and experiences

ABSTRACT In England, Wales and Northern Ireland, the General Certificate of Secondary Education (GCSE) has been the qualification by which students’ attainment at age sixteen has been measured for the last thirty years. Despite the longevity of GCSEs, relatively little research has explored the views and experiences of those undertaking them. Using a systematic literature review methodology and critical appraisal frameworks, the current study synthesises the literature in this area in order to elucidate young people’s views and experiences of GCSE study and assessment. Findings suggest that although there are positive aspects of GCSE study and assessment, for some young people, GCSE study, assessment and recent reforms appear to be relatively negative experiences, characterised by low levels of enjoyment and well-being and high levels of stress and test anxiety. Findings also suggest that agency, equality and fairness and relatedness are important factors in mediating young people’s experiences of GCSE.
Interpretable learning approaches in structural MRI: 3D-ResNet fused attention for autism spectrum disorder classification

Are there any abnormal reflection in the structural Magnetic Resonance Imaging(sMRI) of patients with autism spectrum disorder (ASD)? Although a few brain regions have been somehow implicated in the pathophysiologic mechanism of the disorder, the gold-standard for diagnosis based on sMRI has not been reached in the academic community. Recently, the powerful deep learning algorithms have been widely studied and applied, which provides a chance to explore the brain structural abnormalities of ASD by the visualization based on the deep learning model. In this paper, a 3D-ResNet with an attention subnet for ASD classification is proposed. The model combined the residual module and the attention subnet to mask the regions which are relevant or irrelevant to the classification during the feature extraction. The model was trained and tested by sMRI from Autism Brain Imaging Data Exchange (ABIDE). The result of 5-fold cross-validation shows an accuracy of 75%. The Grad-CAM was further applied to display the emphasized composition of the model during classification. The class activation mapping of multiple slices of the representation sMRI was visualized. The results show that there are high related signals in the regions near the hippocampus, corpus callosum, thalamus, and amygdala. This result may confirm some of the previous hypotheses. The work is not only limited to the classification of ASD but also attempts to explore the anatomic abnormality with a quite promising visualization-based deep learning approach.
The Economic Burden of Antibiotic Resistance Based on Anti-microbial Susceptibility Tests in Various Infections in a Tertiary Care Hospital: A Prospective Study

Introduction: Antibiotics are anti-microbial agents used for the treatment of various bacterial infections. Excessive use, inappropriate prescription pattern conduct to antibiotic resistance (AR). Antibiotic resistance leads to an increase in the cost of medical care. Our study assess the economic burden due to antibiotic resistance based on antimicrobial susceptibility testing in different infections. Methods: The data for the study was collected prospectively and recorded in a data collection form specially designed for the study based on inclusion and exclusion criteria obtained from the Department of General Medicine, NIMS Hospital, Neyyattinkara, Thiruvananthapuram of patients with infectious diseases during the period of 6 months from April 2021 to September 2021. Results: 128 patients were studied, 53.1% (n=68) were males and 46.9% (n=60) were females and the most frequent age range was between 46-60 years of age (35%, n=45). The most common infection seen in patients was urinary tract infection (20.3%, n=26). The socioeconomic status, (50%, n=64) belonged to lower- middle class. Antibiotic sensitivity test was done in (52.3%, n=67) and the patients with resistance (Rs.26530.81) had more mean cost than those without resistance (Rs.18412.01) showing highly significant difference (p=0.001). The resistant patients without antibiotic sensitivity testing had (Rs.30193.14). Conclusion: Our study demonstrated that the resistant patients without antibiotic sensitivity testing had a significantly higher financial burden. Therefore, we strongly recommend to perform antibiotic sensitivity testing (AST) in patients with infectious diseases. Also, patient should be well-informed about the details and the results of antibiotic sensitivity testing to ensure medication adherence and to avoid self- medication.
Nonalcoholic Fatty Liver Disease and Endocrine Axes—A Scoping Review

Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease. NAFLD often occurs associated with endocrinopathies. Evidence suggests that endocrine dysfunction may play an important role in NAFLD development, progression, and severity. Our work aimed to explore and summarize the crosstalk between the liver and different endocrine organs, their hormones, and dysfunctions. For instance, our results show that hyperprolactinemia, hypercortisolemia, and polycystic ovary syndrome seem to worsen NAFLD’s pathway. Hypothyroidism and low growth hormone levels also may contribute to NAFLD’s progression, and a bidirectional association between hypercortisolism and hypogonadism and the NAFLD pathway looks likely, given the current evidence. Therefore, we concluded that it appears likely that there is a link between several endocrine disorders and NAFLD other than the typically known type 2 diabetes mellitus and metabolic syndrome (MS). Nevertheless, there is controversial and insufficient evidence in this area of knowledge.
Effects of NextGen Concepts of Operation for Separation Assurance and Interval Management on Air Traffic Controller Situation Awareness, Workload, and Performance

ABSTRACT Objective: Determine how combinations of NextGen-automation concepts for separation assurance and spacing affect air traffic controller (ATCo) situation awareness, workload, and performance. Background: In previous research, situation awareness was not measured with valid and reliable instruments. Previous work also evaluated separation assurance and spacing concepts individually, and did not examine weather. Method: Retired ATCos worked en route and transitional sectors. Four operating concepts for separation assurance and spacing were tested based on whether automation or ATCo was responsible for each function. Standard methods for assessing workload and situation awareness were used; performance measures included safety and efficiency. Results: Workload was lowest when both functions were automated; however, situation awareness depended on operating concept and sector. In the en route sector, the highest levels of situation awareness were found for ATCo-managed separation assurance and automation-managed spacing. In the transitional sector, the highest situation awareness occurred when ATCos performed both functions. The numbers of loss of separation were highest for ATCo-managed separation assurance; sector complexity depended on weather, but only for automation-managed separation assurance. Spacing efficiency was highest for ATCo-managed separation assurance, but more communications were required. Conclusion: In air traffic management, separation assurance and spacing functions interact with each other in determining ATCo workload, situation awareness, and performance, depending on sector characteristics and weather. Therefore, evaluations of NextGen-automation solutions must include multiple concepts of operation, and involve different sectors and environmental conditions.
Tensor factorization recommender systems with dependency

: Dependency structure in recommender systems has been widely adopted in recent years to improve prediction accuracy. In this paper, we propose an innovative tensor-based recommender system, namely, the Ten- sor Factorization with Dependency (TFD). The proposed method utilizes shared factors to characterize the dependency between diﬀerent modes, in addition to pairwise additive tensor factorization to integrate information among multiple modes. One advantage of the proposed method is that it provides ﬂexibility for diﬀerent dependency structures by incorporating shared latent factors. In addition, the proposed method uniﬁes both binary and ordinal ratings in recommender systems. We achieve scalable computation for scarce tensors with high missing rates. In theory, we show the asymptotic consistency of estimators with various loss functions for both binary and ordinal data. Our numerical studies demonstrate that the pro- posed method outperforms the existing methods, especially on prediction accuracy.
Failed expectations: can deliberative innovations produce democratic effects in hybrid regimes?

Participation in deliberation in stable democracies produces effects which are beneficial for democracy, while the results of deliberative innovations in non-democracies are more ambiguous. This article contributes to the debate about the effects of participatory democratic innovations on attitudes, related to democratic commitments, political capacities and political participation, in the increasingly ubiquitous hybrid regimes. We present the evidence collected from the participants before and after deliberative mini publics (DMPs), held in Serbia in 2020. Serbia is an exemplary case of a recent wave of autocratization, which had led to it becoming a hybrid regime, and it had no track record of deliberative innovations. When conducting the mini publics, we introduced an innovation in the standard design, by including active citizens - representatives of local initiatives or social movements particularly interested in the issue of DMPs. We could not find evidence that the democratic innovation affected attitudes of participants regarding democratic commitments, political capacities and political participation. However, we did find that participants of the DMPs became less satisfied with the functioning of the democracy on the local level. We argue that the anti-democratic wider context of hybrid regimes can produce adverse effects when introducing participatory democratic innovations, at least when it comes to this specific dimension of political participation. We conclude with the suggestions for further research, and a call for consideration of the wider political context when designing democratic interventions in hybrid regimes.
Influence of Organic Supplements on Growth and Development of InVitro Shoots of Bulbophyllum dhaninivatii Seidenf

In Vitro shoot culture of Bulbophyllum dhaninivatii Seidenf. was conducted on semi-solid Vacin and Went (1949) medium supplemented with coconut water (50 100 and 150 ml/L), potato extract (25 and 50 g/L) and banana homogenate (25 and 50 g/L) for 12 weeks. The results found that the highest shoot number (6.92 shoots) could observe on the medium supplemented with 150 ml/L coconut water, 50 g/L potato extract and 50 g/L banana homogenate while the highest leaf and root number could obtain when cultured on the medium supplemented with 100 ml/L coconut water, 50 g/L potato extract and 50 g/L banana homogenate.
Mobile robot teamwork for cooperated task

When plural robots exist in the same workspace, first we have to decide robots in order to accomplish some tasks. There have been a lot of works that report how to control robots in cooperation, but there have been few works that report how to decide robots to be used. In this paper, a method for deciding a team of mobile robots is described. The aim of the team is to carry load in minimum working time. Working time is depend on some elements-distance between robot and load, torque a robot can output, maximum velocity and acceleration of robot, condition of robot, and so on. Each element as described above is named "ability" in this paper. For deciding a team, that is combination of robots, ability gaps in mobile robots are considered. Taking account of the ability gaps, a method for calculation of working time is described. To curtail the time of calculation and obtain a combination efficiently, genetic algorithm is introduced. Simulation and experiment result is shown to confirm the effectiveness of the method described in this paper.
The Time Has Come for Redundant Coding in Print Publications

Color is often used by itself to convey meaning in print publications. In the world of computer–human interaction, however, it has long been understood that color should be used with another code, such as shape or pattern fills, to make the content accessible to everyone, including those with deficits in color vision. Likewise, redundant coding is needed in print publications to convey meaning to all readers, including those whose normal color perception has faded with age. It’s time to make our published charts and graphs universally accessible.
Analysis of Heavy Metals Levels in Locally produced Rice Fumigated with Cypermethrin (Pyrethroid) Pesticide Grown in Auyo Rice Field of Jigawa State

There is a growing public concern over the potential accumulation of heavy metals in agricultural soils owing to rapid urban and industrial development and increasing reliance on agrochemicals in the last several decades. Excessive accumulation of heavy metals in agricultural soils may not only result in environmental contamination, but elevated heavy metal uptake by crops may also affect food quality and safety. The present study aims to study heavy metal concentrations in rice parts (root, stem, leaf, seed and corresponding soils in the Auyo rice field. Specimens of rice plant parts from different locations in 10 Ã— 10 m were sampled with their corresponding soils. Soil and plant specimens were analysed by using Atomic Absorption spectrometry. It was found that metal concentration in soil was highly variable while the concentration of metals in plants directly depends on the concentration of metal-based pesticide applied. Roots showed the highest metal concentration, followed by leaves, stem and seeds. The physicochemical parameters of the soil from the study area revealed that the pH of the soil sample is within the alkaline range. Similarly, the electrical conductivity was less than 4 (0.51 to 0.65 dSm-1), indicating the presence of soluble salts within average, dissolved Nitrogen at a range of 179.4 to 221 kg/Ha, showing low in nitrogen content, Phosphorus levels in the study region range from 29.00 to 42.33 kg/ha, while potassium level in the soil varies from 126.22 to 250 kg/ha. In general, the soil in the study area was found to be very rich and fertile for the cultivation of rice. The accumulation of some heavy metals in some rice parts may be due to the effects of cypermethrin pesticides.
Study to Assess the Efficacy of Wheatgrass Juice Therapy Intervention on Haemoglobin Level in Adolescent Anaemic Females

Background and Objectives:Wheatgrass juice is rich in various minerals like iron, magnesium, calcium, phosphorus, antioxidants like beta carotene,and insoluble dietary fibers. It has a significant amount of medicinal value with a rich source of Chlorophyll. The chemical structure of Chlorophyll is almost identical to Haemoglobin. The only difference is that magnesium is a central element in chlorophyll and iron in Haemoglobin.The vital component of wheatgrasshelps in building Haemoglobin in our body. Thus,it is used therapeutically forvarious clinical conditions involving Haemoglobin deficiency and other chronic disorders ultimately it is considered as green blood.Adolescents are susceptible to both macro and micronutrient deficiencies. Adolescent girls are mainly vulnerable groupsdue to blood loss during menstruation and poor dietary habits.The present study aims to evaluate the effect of wheatgrass fresh juice on the Haemoglobin level of adolescent anemic females. Materials and Methodology:60 subjects were selected with Haemoglobinless than 10mg/dl anddivided into two groups. Group 1-Study group wasgiven 30ml of freshly prepared wheatgrass juice on empty stomach daily for 60 days. Where Group 2-Control groupwere observed with regular activities.Results: After 60 days the symptomatic improvement and increase in Haemoglobin level in the study group was noticed as compared to the control group. Conclusion:Wheatgrass juice consumption will improve the Haemoglobin levels among anemic adolescent femalesIndex. ©2022iGlobal Research and PublishingFoundation. All rights reserved.