Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of positioning errors of frames on fuselage panel assembly deformation

In aircraft assembly, frames are usually used as the skeleton shape benchmarks of a fuselage panel to locate other parts accurately, thereby coordinating the relative position relationships between each part. In order to guarantee the assembly quality, a methodology for analyzing the effect of positioning errors of frames on fuselage panel assembly deformation is proposed. A finite element model of the fuselage panel is established first and then a mathematical model for representing the assembly deformation is derived. To contain more assembly deformation information, the optimal measurement point placement method is adopted to extract a set of finite element nodes as the measurement point locations from a large candidate set. Meanwhile, the mathematical relationship between the position errors of measurement points and the positioning errors of frames is also determined, which is then combined with the Monte Carlo simulation and the grey relational analysis to quantitatively analyze the impacts of the positioning error(s) generated by single or multiple frames on fuselage panel assembly deformation.
A Television Program to Engage Children in Engineering Design

This paper describes a television program entitled LAZYBONES which is currently under development by WGBH, a leading producer of children’s (e.g. ZOOM) and science programming (e.g. NOVA). The purpose of the program is to allow children, especially 10to 14-year-olds, to become intellectually engaged in engineering design. By this means, it is hoped the program will improve technology literacy and encourage more young people to pursue engineering as a profession. The concept of the show is to have teams compete in automating everyday tasks in whimsical ways. The contestants will use technology such as microcontrollers and machine tools, providing the viewing audience needed exposure to the inner workings of modern engineering.
A Prospective, Open-Label, Multicenter, Real-World Study of VYC-17.5L Hyaluronic Acid Dermal Filler in the Lips

Abstract Background Hyaluronic acid (HA) injectable gels are used to define, enhance, and volumize facial regions, such as the lips, a common treatment area. Objectives To evaluate the effectiveness and safety of the HA injectable gel Juvéderm Volift (Allergan, Aesthetics, an AbbVie Company Irvine, CA) with Lidocaine (VYC-17.5L) for lip augmentation in real-world clinical practice. Methods This prospective, open-label, multicenter study initially designed for 6 months, then extended to 12 months, enrolled adults with an overall grade of minimal to moderate on the Lip Fullness Scale 2 (LFS2). Optional touch-up and repeat treatments occurred at day 14 and month 12, respectively. The primary endpoint was a ≥1-point improvement on the LFS2 at day 30. Other endpoints included improvements on the FACE-Q Satisfaction with Lips questionnaire, Global Aesthetic Improvement Scale (GAIS), subject assessment of natural look/feel of lips, and investigator assessment of dynamic lip lines upon animation. Injection site reactions (ISRs) and adverse events (AEs) were recorded. Results Of 60 subjects enrolled (mean age, 36.8 years; 98.3% female), 59 were evaluable for efficacy at day 30; 13 (21.4%) received touch-up treatment. Thirty-six of 40 subjects completed the extension study (month 12). LFS2 responder rates were 93.2% at day 30 (primary endpoint) and 39.0% at month 12. Mean scores on the FACE-Q questionnaire improved from baseline by 45.2 points and 23.6 points at day 30 and month 12, respectively. Most subjects showed improvements on the GAIS. The majority of ISRs were mild/moderate; no serious AEs occurred. Conclusions VYC-17.5L was effective and well tolerated for lip augmentation through 12 months posttreatment. Level of Evidence: 4
Pratylenchus brachyurus Suppression by Organic Fertilizers and the Development of Soybean Plants

The root lesion nematode, Pratylenchus brachyurus (Godfrey) Filipjev & Schuurmans Stekhoven, has been caused significant losses in soybean crops in Brazil. The addition of organic fertilizers may suppress the population of these plant-parasitic nematodes. The aim of this work was to evaluate the action of cattle manure, cattle vermicompost, cattle compost, and slaughterhouse swine compost on the reduction of P. brachyurus population and the development in soybean plants (cv. NR 5909). The experiment was conducted for 90 days after P. brachyurus inoculation (DAI) in the pots, in greenhouse. At 90 DAI, shoots, roots and soil were collected from all experimental units to determine shoot dry matter, root fresh mass and nematodes quantification present in roots and soil. All the organic fertilizers promoted the increase of shoot dry matter and root fresh mass in relation to control, even under nematode infestation in soybean plants (cv. NR 5909). However, organic fertilizers did not promote a suppressive effect on P. brachyurus population in soybean plants.
Network Extraction and Analysis of Character Relationships in Chinese Literary Works

Character relationships in literary works can be interpreted and analyzed from the perspective of social networks. Analysis of intricate character relationships helps to better understand the internal logic of plot development and explore the significance of a literary work. This paper attempts to extract social networks from Chinese literary works based on co-word analysis. In order to analyze character relationships, both social network analysis and cluster analysis are carried out. Network analysis is performed by calculating degree distribution, clustering coefficient, shortest path length, centrality, etc. Cluster analysis is used for partitioning characters into groups. In addition, an improved visualization method of hierarchical clustering is proposed, which can clearly exhibit character relationships within clusters and the hierarchical structure of clusters. Finally, experimental results demonstrate that the proposed method succeeds in establishing a comprehensive framework for extracting networks and analyzing character relationships in Chinese literary works.
Covariance Matrix Reconstruction via a Subspace Method and Spatial Spectral Estimation for Robust Adaptive Beamforming

Several robust adaptive beamforming (RAB) algorithms based on interference plus noise covariance matrix (INCM) reconstruction have been recently proposed, which can enhance the robustness of beamforming algorithms when certain mismatches occur in the model. However, some approaches ignore the resolution of the Capon spectral estimator (CSE), leading to reconstruction errors. This paper proposes a novel RAB algorithm formulated using the subspace projection method and spatial spectral estimation (SSE), which is named INCM-SSE. First, without using the CSE, the subspace projection matrix (SPM) is obtained through the integral of the angular sector where the signal of interest (SOI) is located. Subsequently, after estimating the direction of arrival (DOA) of incident signals using the multiple signal classification (MUSIC) algorithm, we project the sample covariance matrix (SCM) onto the SPM to eliminate the SOI influence. Then, the estimation method of interference powers is derived. Moreover, the INCM is reconstructed based on the estimated powers and steering vector (SV) of interferences. The SV of the SOI is optimized by solving a quadratic convex optimization problem. The INCM-SSE algorithm not only employs SSE to improve the angular resolution but also reduces the influence of the SOI component by using SPM. Simulation results indicate that the proposed method is robust against various types of mismatches, thus achieving superior overall performance.
Peak power management of residential building using demand side management strategies

Peak power management is one of the demand-side management methods aiming at regulating energy usage throughout the day. This paper discusses peak load, which relates to a consumer's peak demand during specific hourly hours and how to manage it. Shifting loads from demand hours to non peak hours relieves pressure on utilities to meet demand and supply while also lowering the cost to consumers. The Peak Load Management Model offers a more effective framework for lowering peak loads and moving loads from peak to off-peak hours. A cascaded artificial neural network is utilised to construct a demand side management strategy for managing peak electricity in residential buildings in this paper. The peak load control model's results and discussion are highlighted in the simulation results and performance review.
Resistance Profiles of Bacteria Isolated from Wastewater in the State Specialist Hospital Maiduguri

Antibiotics being an effective antibacterial did not really last long as expected. This is because as soon as they were discovered, bacteria started developing resistance against it. Even though studies have shown that resistance genes existed long before the discovery of antibiotics, the reason why we have increased growth in antibiotics resistance is as a result of misuse and overuse of the agents in human and agricultural settings. The aim of this study is to identify the common bacterial species in wastewater and to determine their resistance pattern to regularly/commonly used antibiotics. Samples were collected from the general wastewater channel of the state specialist hospital, Maiduguri. The bacterial isolates identified were Enterobacter spp, Staphylococcus aureus, Pseudomonas spp, Proteus spp, Klebsiella spp, Salmonella spp, Bacillus spp, Coagulase -ve Staphylococcus and other Coliform spp. The antibiotics susceptibility of the bacterial isolates was assayed using the disc diffusion method; OPTUDISCs. The level of sensitivity was highest with Ofloxacin and Levofloxacin having 78.5% and 75%, while resistance was highest with Cloxacillin, Augumentin, Ampicillin and Tetracycline with 96.4%, 89.2, 88.9 and 85.1% respectively. This shows that except for Levofloxacin, all isolates have already been exposed to antibiotics, which resulted in them developing multi resistance. As a result of this multi resistance, there is need to develop other alternative therapy that will be able to tackle antibiotics resistance and surveillance on trends in antibiotic resistance.
Cervical Lesion Classification Method Based on Cross-Validation Decision Fusion Method of Vision Transformer and DenseNet

Objective In order to better adapt to clinical applications, this paper proposes a cross-validation decision-making fusion method of Vision Transformer and DenseNet161. Methods The dataset is the most critical acetic acid image for clinical diagnosis, and the SR areas are processed by a specific method. Then, the Vision Transformer and DenseNet161 models are trained by the fivefold cross-validation method, and the fivefold prediction results corresponding to the two models are fused by different weights. Finally, the five fused results are averaged to obtain the category with the highest probability. Results The results show that the fusion method in this paper reaches an accuracy rate of 68% for the four classifications of cervical lesions. Conclusions It is more suitable for clinical environments, effectively reducing the missed detection rate and ensuring the life and health of patients.
Evaluation of FY-4A Temperature Profile Products and Application to Winter Precipitation Type Diagnosis in Southern China

FY-4A GIIRS temperature profile products have provided unprecedented information for studying the atmospheric characteristics of thermal structures since 2020. The main objective of this paper is to evaluate GIIRS temperature profile products by using radiosonde observations and then apply them to the diagnosis of winter precipitation types in southern China. GIIRS temperature profile products for four types (clear sky perfect quality, cloudy sky perfect quality, cloudy sky good quality and cloudy sky bad quality) show different performances. Relatively, the cloud can affect the quality and quantity of GIIRS products. At different pressure levels, the perfect flagged data under the clear or cloudy sky show the best agreement with radiosonde observations, yielding the highest Pearson correlation coefficient and lowest mean bias as well as root mean square error. The good flagged data have a slight deviation from the perfect data. The impact on the quantity of the GIIRS temperature data is greater than that on the quality with an increase in cloud top height. A case investigation was carried out to analyze the performance of GIIRS temperature profiles for the diagnosis of precipitation types in a winter storm of 2022. The GIIRS temperature profiles represent the reasonable atmospheric thermal structures in the rain and snow in Hubei and Hunan provinces. The GIIRS temperature below 700 hPa is an important indictor to precipitation type diagnosis. Furthermore, two critical thresholds for GIIRS temperatures, which are below −2 °C at 850 hPa and below 0 °C at 925 hPa, respectively, are proposed for the occurrence of snowfall in this winter storm. In addition, the distribution of GIIRS temperature at different pressure levels is consistent with radiosonde observations in a freezing rain event in Guiyang, all of which show the warm rain mechanism by combining the cloud top information.
Psychopathology and Stem Cell Mobilization in Ultra-High Risk of Psychosis and First-Episode Psychosis Patients

Although regenerative and inflammatory processes are involved in the etiopathogenesis of many psychiatric disorders, their roles are poorly understood. We investigate the potential role of stem cells (SC) and factors influencing the trafficking thereof, such as complement cascade (CC) components, phospholipid substrates, and chemokines, in the etiology of schizophrenia. We measured sphingosine-1-phosphate (S1P), stromal-derived factor 1 (SDF-1), and CC cleavage fragments (C3a, C5a, and C5b-C9; also known as the membrane attack complex) in the peripheral blood of 49 unrelated patients: 9 patients with ultra-high risk of psychosis (UHR), 22 patients with first-episode psychosis (FEP), and 18 healthy controls (HC). When compared with the HC group, the UHR and FEP groups had higher levels of C3a. We found no significant differences in hematopoietic SC, very small embryonic-like stem cell (VSEL), C5a, S1P, or SDF-1 levels in the UHR and FEP groups. However, among FEP patients, there was a significant positive correlation between VSELs (CD133+) and negative symptoms. These preliminary findings support the role of the immune system and regenerative processes in the etiology of schizophrenia. To establish the relevance of SC and other factors affecting the trafficking thereof as potential biomarkers of schizophrenia, more studies on larger groups of individuals from across the disease spectrum are needed.
Sustainable energy management practices and its effect on EEI: a case on university buildings

Energy consumption in commercial buildings contributes greatly towards high energy demand, especially in developed countries. For this reason, energy efficiency in buildings is given increasing attention and included in the energy policy at all levels. However, the complexities of building's energy system make it difficult to gather information on building energy consumption. Many methods have been proposed to measure the energy consumption accurately. The major issues are how to regularly monitor the performance of energy management programs and how to reduce energy usage in a building. This paper focuses on the Energy-Efficiency Index (EEI) as an indicator to track the performance of energy consumption in buildings. A study is conducted at the Engineering Faculties of Universiti Teknologi Malaysia (UTM) using a combination of standard measurements of energy consumption and air-conditioned area from building's databases. Various energy saving management programs were conducted in these faculties since 2010. The results from these programs showed a reduction in EEI and provide opportunities for continuous energy saving practices.
A New Coupling Method for PM2.5 Concentration Estimation by the Satellite-Based Semiempirical Model and Numerical Model

Aerosol optical and chemical properties play a major role in the retrieval of PM2.5 concentrations based on aerosol optical depth (AOD) data from satellites in the conventional semiempirical model (SEM). However, limited observation information hinders the high-resolution estimation of PM2.5. Therefore, a new method for evaluating near-surface PM2.5 at high spatial resolution is developed by coupling the SEM and the chemical transport model (CTM)-based numerical (CSEN) model. The numerical model can provide large-scale information for aerosol properties with high spatial resolution at a large scale based on emissions and meteorology, though it can still be biased in simulating absolute PM2.5 concentrations. Therefore, the two crucial aerosol characteristic parameters, including the coefficient integrated humidity effect (γ′) and the comprehensive reference value of aerosol properties (K) in SEM, have been redefined using the WRF-Chem numerical model. Improved model performance was observed for these results compared with the original SEM results. The monthly averaged correlation coefficients (R) by CSEN were 0.92, 0.82, 0.84, and 0.83 in January, April, July, and October, respectively, whereas those of the SEM were 0.80, 0.77, 0.72, and 0.72, respectively. All the statistical metrics of the model validation showed significant improvements in all seasons. The reduced biases of estimated PM2.5 by CSEN indicated the effect of hygroscopic growth and aerosol properties affected by the meteorology on the relationship between AOD and estimated PM2.5 concentrations, especially in winter and summer. The better performance of the CSEN model provides insight for air quality monitoring at different scales, which supplies important information for air pollution control policies and health impact analysis.
Vibration Analysis to Determine the Condition of Gear Units

The use of the most up-to-date production technologies and a high level of production stability without any unscheduled outages are of utmost importance; they are affected primarily by monitoring the condition and by adequate maintenance of mechanical systems. Life cycle design of machines and devices is nowadays gaining ground rather quickly,- users want that machines and devices operate with a high level of accuracy and reliability and with as few outages as possible. Thus, by monitoring the condition, not only the presence of changes but also predictions related to the type and size of damage or error jeopardising the high quality of operation during the remaining life cycle of a machine is established.
Validity and reliability of the Turkish version of Athlete Psychological Strain Questionnaire (APSQ)

Objective: The aim of this study was to test the validity and reliability of the Turkish version of the Athlete Psychological Strain Questionnaire (APSQ). Material and Method: The APSQ, which consists of 10 items and 3 sub-dimensions (self-regulation difficulty, performance concerns, and externalized coping) and assesses athlete-specific psychological distress, was administered to a total of 565 elite athletes (247 females, and 318 males). Confirmatory factor analysis (CFA) was used to assess construct validity, and Cronbach alpha reliability analysis was used to determine internal consistency. Concurrent validity of the APSQ with the Depression Anxiety and Stress Scales-21 and the Kessler Psychological Stress Scale-10 was also tested. Results: Findings for construct validity were consistent with three-factor structure of the original questionnaire (RMSEA=0.05, SRMR=0.03, NFI=0.94, CFI=0.96, GFI=0.97). The Cronbach’s α coefficient of the whole scale was 0.83, and the Cronbach’s α coefficients of three sub-dimensions were 0.75, 0.69, and 0.50 separately. Conclusion: Findings demonstrate that the Turkish adaptation of the APSQ has sufficient psychometric properties for widespread use, assessing key dimensions of psychological strain experienced by elite athletes.
Demographic Characteristics and Occupational Stress by Secondary School Teachers in Greater Bushenyi, Uganda

This study sought to establish the differences in occupational stress across socio-demographic characteristics of secondary school teachers in Greater Bushenyi, Uganda through the cross sectional research design. The researchers sampled 33 out of 160 public and private secondary schools through the systematic sampling procedures. From those, 266 were sampled out of 672 teachers. Using descriptive statistics, t-test and ANOVA, the study established that teachers under investigation experienced the occupational stress moderately. The finding was quite similar to previous studies which indicated gender as a determining factor for teachers’ occupational stress. The moderately experienced occupational stress, calls for intervention strategies since if not treated earlier it may develop into higher stress levels which may interfere with teachers’ academic performance in their schools.
Computational and experimental investigations of low-Reynolds-number flows past an aerofoil

Abstract This paper presents investigations of low-Reynolds-number flows past an SD7003 aerofoil at Re = 60k, where transition takes place across a laminar separation bubble (LSB). Results of experimental measurements and numerical calculations are analysed and discussed. In particular, reasonably good results were obtained using two different numerical approaches: Large-eddy simulation (LES) that demonstrated vortical structures at different transition stages, and where the transition occurred naturally; unsteady Reynolds-averaged Navier-Stokes (URANS) simulations for several turbulence models based on the ω-length-scale equation, coupled to a linear stability solver to predict the transition position.
Psychometric Properties of the Wong and Law Emotional Intelligence Scale in a Colombian Manager Sample

Within the organizational field, emotional intelligence is linked to socially competent behaviors, which allow the development of labor and organizational abilities necessary for professional development. Thus, in workers, emotional intelligence is related to a wide range of organizational variables. The purpose of the present study was to evaluate the psychometric properties of the Wong and Law Emotional Intelligence Scale (WLEIS) in the Colombian context, specifically, in a population of managers. The study was instrumental. The sample consists of 489 Colombian managers, obtained through non-probability sampling (a purposive sample), who work in companies located in Bogota. The results indicated that the four-factor oblique model presents favorable fit indices, as well as the higher-order model, the latter having additional theoretical support. These results indicate that it is possible to consider partial scores for each of the four factors of the WLEIS, as well as an overall emotional-intelligence score. Also, the WLEIS scores have validity evidence based on relations to other variables (convergent and discriminant evidence) and are reliable. These first findings for Colombian managers contribute to the accumulation of international evidence of emotional intelligence measured with the WLEIS.