Miracle-dz/UniFAR-FTUs huggingface dataset:
A Systematic Review of Lean Six Sigma in Manufacturing Domain

: Manufacturing companies seek to improve competitiveness through continuous improvement in process productivity and product quality using Lean Six Sigma (LSS) methodology, which is a methodology that integrates Lean Manufacturing and Six Sigma strategies, which means that the principles, philosophies and tools of both methodologies are also united in one approach. This systematic review aims to explore the most popular topics within LSS in manufacturing over the past ten years (2014 to 2023), and to identify and analyze any gaps. Results found that LSS helps in improving quality, increasing sigma level, reducing non-added value, increasing productivity, reducing production costs, and improving customer satisfaction. Furthermore, the results can be used for a systematic literature review by researchers and manufacturing leaders before embarking on a journey of continuous improvement. Finally, this study proposed a LSS framework for the manufacturing domain, which includes 40 steps. Various tools like process mapping, KPIs, OEE, sigma level, seven quality control tools, process time analysis, value stream mapping, kaizen, 5S, brainstorming, and standard work have been used at different phases of DMAIC.
Statistical Considerations for Subjective Visual Vertical and Subjective Visual Horizontal Assessment in Normal Subjects

Objectives: Judgments of the subjective visual vertical (SVV) and subjective visual horizontal (SVH) while seated upright are commonly included in standard clinical test batteries for vestibular function. We examined SVV and SVH data from retrospective control to assess their statistical distributions and normative values for magnitudes of the preset effect, sex differences, and fixed-head versus head-free device platforms for assessment. Methods: Retrospective clinical SVV and SVH data from 2 test platforms, Neuro-otologic Test Center (NOTC) and the Neurolign Dx 100 (I-Portal Portable Assessment System Nystagmograph) were analyzed statistically (SPSS and MATLAB software) for 408 healthy male and female civilians and military service members, aged 18–50 years. Results: No prominent age-related effects were observed. The preset angle effects for both SVV and SVH, and their deviations from orthogonality, agree in magnitude with previous reports. Differences attributable to interactions with device type and sex are of small magnitude. Analyses confirmed that common clinical measure for SVV and SVH, the average of equal numbers of clockwise and counterclockwise preset trials, was not significantly affected by the test device or sex of the subject. Finally, distributional analyses failed to reject the hypothesis of underlying Gaussian distributions for the clinical metrics. Conclusions: z scores based on these normative findings can be used for objective detection of outliers from normal functional limits in the clinic.
Climatology of cold season lake‐effect cloud bands for the North American Great Lakes

Geostationary Operational Environmental Satellite (GOES) visible imagery was used to identify lake‐effect (LE) clouds in the North American Great Lakes region for the cold seasons (October–March) of 1997/1998 through 2013/2014 to provide a comprehensive climatological description of the seasonal and interannual variability of LE cloud bands. During the average cold season, at least 60% of days each month had LE clouds over some portion of the Great Lakes region and nearly 75% of all LE days had LE clouds present over several lakes simultaneously. Wind‐parallel bands (WPB) are observed far more frequently than any other type of LE over Lakes Superior, Michigan, and Huron during the months of December, January, and February. Over Lake Erie, the occurrence of days per month with WPB was found to be approximately 5–10% greater than days with shore‐parallel bands (SPBs) throughout the entire cold season. The greatest frequency of SPB occurrences in the Great Lakes region was over Lake Ontario during the months of January and February (∼20% of days). In addition, Lake Ontario was the only lake where the frequencies of WPB and SPB occurrences were fairly similar each month. The annual frequency of WPB occurrences are the most variable among the Great Lakes, decreasing in frequency from the western lakes toward the eastern lakes. Lake Ontario has the largest annual frequency of SPB occurrences and the greatest variation in SPB annual frequency. Lake Huron has the second largest annual frequency of SPB days with small interannual variation. The primary differences of the annual frequency of lake‐to‐lake (L2L) LE occurrences when compared with previous research were a greater variability in the L2L annual frequency of Superior‐to‐Michigan connections, greater frequency of Michigan‐to‐Huron connections, and less frequent occurrences for Superior‐to‐Huron and Michigan‐to‐Erie connections.
Programming And model sensing applications using visual arts to improve the understanding of the information contained in financial reports

Although the content superiority to figure is one of the major issues among accountants and fiscal data providers, effects of figures on transferring data and increasing its perception must not escaped the notice. A major purpose of this research is deliberation of using and not using visual arts in increasing the ability of perception of data inserted in fiscal reports. Methodology: To this aim, at first using the systematic elimination method, 32 out 37 companies in pharmacy industry chosen as the primary sample of research during the fiscal year of 2013. After the industry sampling the company's financial reporting Tehran drug to randomly to be select color and size. The original research (researcher) using Excel software programming and graphics were prepared financial statements, the outcome of this process through the application of innovative collected. Then design a questionnaire survey among 24 experts, was tested programming model. Results & Conclusion: The results of the experts using SPSS software and statistical methods were approved in a society.
Effects of Selenium Dietary Yeast on Growth Performance, Slaughter Performance, Antioxidant Capacity, and Selenium Deposition in Broiler Chickens

Simple Summary Se yeast is a microbial fermentation product created by adding sodium selenite in the yeast cultivation process, which is a superior product of an organic Se source. It exhibits greater bioavailability than the product from inorganic Se sources, and the increased Se levels are maintained for a longer period after the supplementation has ceased. This study evaluated the effects of Se yeast on the growth performance, slaughter performance, antioxidant capacity, and Se deposition in broilers. In conclusion, dietary supplementation of Se yeast can lead to reduced abdominal fat percentages, improved antioxidation function, and increased Se deposition in broiler tissues, thereby enhancing the meat quality of broilers, which holds great significance for the precise production of Se-enriched functional chicken products. Abstract Selenium (Se) yeast, a bioavailable form of selenium, exhibits enhanced bioavailability due to its unique organic matrix and superior metabolic availability compared to the inorganic selenium sources. This study aims to evaluate the effects of Se yeast on the growth performance, slaughter performance, antioxidant capacity, and Se deposition in broiler chickens. A total of 264 1-day-old male AA broilers (38.7 ± 0.1 g) were randomly assigned to four treatment groups, with six replicates of 11 chickens per replicate. The broilers were fed a basal diet or a diet supplemented with 0.1, 0.2, and 0.4 mg/kg Se yeast. The experiment lasted for 42 days. Although the results showed that Se yeast did not significantly improve the growth performance of broilers, it did significantly decrease the abdominal fat ratio. Additionally, supplementation of Se yeast significantly improved the antioxidant capacity of broilers. The quadratic regression models were used to simulate the relationship between Se content in the feed and Se deposition in broiler tissues. The regression equations were as follows: pectoral muscle, Y = 2.628X − 0.340X2 − 0.592 (R2 = 0.927); leg muscle, Y = 2.317X − 0.272X2 − 0.490 (R2 = 0.937); liver, Y = 3.357X − 0.453X2 − 0.493 (R2 = 0.961); kidney, Y = 4.084X − 0.649X2 + 0.792 (R2 = 0.932). Based on these findings, the Se deposition in broiler tissues can be predicted by the Se content of the additive, which is of great significance for the precise production of Se-enriched functional chicken products.
Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium

Introduction Previous studies have shown disrupted effective connectivity in the large-scale brain networks of individuals with major depressive disorder (MDD). However, it is unclear whether these changes differ between first-episode drug-naive MDD (FEDN-MDD) and recurrent MDD (R-MDD). Methods This study utilized resting-state fMRI data from 17 sites in the Chinese REST-meta-MDD project, consisting of 839 patients with MDD and 788 normal controls (NCs). All data was preprocessed using a standardized protocol. Then, we performed a granger causality analysis to calculate the effectivity connectivity (EC) within and between brain networks for each participant, and compared the differences between the groups. Results Our findings revealed that R-MDD exhibited increased EC in the fronto-parietal network (FPN) and decreased EC in the cerebellum network, while FEDN-MDD demonstrated increased EC from the sensorimotor network (SMN) to the FPN compared with the NCs. Importantly, the two MDD subgroups displayed significant differences in EC within the FPN and between the SMN and visual network. Moreover, the EC from the cingulo-opercular network to the SMN showed a significant negative correlation with the Hamilton Rating Scale for Depression (HAMD) score in the FEDN-MDD group. Conclusion These findings suggest that first-episode and recurrent MDD have distinct effects on the effective connectivity in large-scale brain networks, which could be potential neural mechanisms underlying their different clinical manifestations.
Optimal Model-Free Finite-Time Control Based on Terminal Sliding Mode for a Coaxial Rotor

This study focuses on addressing the tracking control problem for a coaxial unmanned aerial vehicle (UAV) without any prior knowledge of its dynamic model. To overcome the limitations of model-based control, a model-free approach based on terminal sliding mode control is proposed for achieving precise position and rotation tracking. The terminal sliding mode technique is utilized to approximate the unknown nonlinear model of the system, while the global stability with finite-time convergence of the overall system is guaranteed using the Lyapunov theory. Additionally, the selection of control parameters is addressed by incorporating the accelerated particle swarm optimization (APSO) algorithm. Finally, numerical simulation tests are provided to demonstrate the effectiveness and feasibility of the proposed design approach, which demonstrates the capability of the model-free control approach to achieve accurate tracking control even without prior knowledge of the system’s dynamic model.
Physical Activity with Play and Game Model to Improve the Cognitive of Elementary School Students

Elementary school age is a period of physical growth and movement that plays an important role in the formation of quality individuals. Through physical movements in the form of games that continue to provide optimal development in children both cognitive maturity and motor development. Sports with a play-and-game system can increase the growth of neurons in the brain and stimulate the growth of new neurons in the hippocampus. Meanwhile, physical education learning in elementary schools is still teacher-centered and there is still a lack of variety of learning models. Based on the above problems, the play-and-game model can be used as a monotonous and less interesting learning solution. This learning is effective and innovative because it can provide learning experiences both from cognitive, motor, and affective aspects. Engaging in physical activity will positively affect all systems: cardiovascular, respiratory, hormonal, immunological, and nervous systems. In addition, a large development of the frontal and temporal lobes at the age of children 7-12 years. The brain will become more rapidly developed so that it will make faster cognitive improvement. The Play and game model can improve academic performance both in memory, memory, and learning.
Physiologic dentin regeneration: its past, present, and future perspectives

Regenerative dentistry has rapidly progressed since the advancement of stem cell biology and material science. However, more emphasis has been placed on the success of tissue formation than on how well the newly generated tissue retains the original structure and function. Once dentin is lost, tertiary dentinogenesis can be induced by new odontoblastic differentiation or re-activation of existing odontoblasts. The characteristic morphology of odontoblasts generates the tubular nature of dentin, which is a reservoir of fluid, ions, and a number of growth factors, and protects the inner pulp tissue. Therefore, understanding the dynamic but delicate process of new dentin formation by odontoblasts, or odontoblast-like cells, following dentinal defects is crucial. In this regard, various efforts have been conducted to identify novel molecules and materials that can promote the regeneration of dentin with strength and longevity. In this review, we focus on recent progress in dentin regeneration research with biological molecules identified, and discuss its potential in future clinical applications.
DETECTION AND SEGMENTATION OF POLE-LIKE OBJECTS IN MOBILE LASER SCANNING POINT CLOUDS

Abstract. Pole-like object (PLO) detection and segmentation are important in many applications, such as 3D city modelling, urban planning, road assets monitoring, intelligent transportation, road safety, and forest monitoring. Arguably, vehicle-based mobile laser scanning (MLS) is the best on-road data acquisition system, because it is fast, precise and non-invasive. As part of that, laser scanning georeferenced data (i.e., point clouds) provide detailed structural morphology of the scanned objects. However, point clouds are not free from outliers and noise. Critically, many of the object extraction methods that depend on local saliency features (e.g., normals)-based segmentation use principal component analysis (PCA). PCA can provide the local features but struggle to produce robust results in the presence of outliers and noise. To reduce the influence of outliers for saliency features estimation and in segmentation, this paper employs Robust distance-based Diagnostic PCA (RD-PCA) coupled with the well-known DBSCAN clustering algorithm. This study contributes to a better understanding of object detection and segmentation by (i) exploring the problems of local saliency features estimation in the presence of outliers and noise; (ii) understanding problems with PCA and why RD-PCA is important; and (iii) introducing a novel method for PLOs detection and segmentation following a robust segmentation approach. The performance of the new algorithm is demonstrated through MLS data acquired in an urban road setup.
Modulating Liquid–Liquid Phase Separation of Nck Adaptor Protein against Enteropathogenic Escherichia coli Infection

Signaling proteins often form biomolecular condensates through liquid–liquid phase separation (LLPS) during intracellular signal transduction. Modulating the LLPS property of intracellular protein condensates will redirect intracellular signals and provide a potential way to regulate cellular physiology. Phosphorylation of multiple tyrosine residues of the transmembrane receptor nephrin is known to drive the LLPS of the adaptor protein Nck and neuronal Wiskott–Aldrich Syndrome protein (N-WASP) and form the Nck signaling complex. Phosphorylation of the translocated intimin receptor (Tir) in the host cell may recruit this enteropathogenic Escherichia coli (EPEC) virulence factor to the Nck signaling complex and lead to the entry of EPEC into the intestine cell. In this work, we first identified a phosphotyrosine (pY)-containing peptide 3pY based on the sequence similarity of nephrin and Tir; 3pY promoted the LLPS of Nck and N-WASP, mimicking the role of phosphorylated nephrin. Next, we designed a covalent blocker of Nck, peptide p1 based on the selected pY peptides, which site-selectively reacted with the SH2 domain of Nck (Nck-SH2) at Lys331 through a proximity-induced reaction. The covalent reaction of p1 with Nck blocked the protein binding site of Nck-SH2 and disintegrated the 3pY/Nck/N-WASP condensates. In the presence of membrane-translocating peptide L17E, p1 entered Caco-2 cells in the cytosol, reduced the number of Nck puncta, and rendered Caco-2 cells resistant to EPEC infection. Site-selective covalent blockage of Nck thereby disintegrates intracellular Nck condensates, inhibits actin reorganization, and shuts down the entrance pathway of EPEC. This work showcases the promotion or inhibition of protein phase separation by synthetic peptides and the use of reactive peptides as LLPS disruptors and signal modulators.
Processing Technology of Compounded Beverage by Jujube and Mung Bean

This essay mainly intends to make a study on the brewing technology health beverage compounded by Jujube and mung bean. With this purpose, a research on mung bean liquefaction, saccharifying and jujube striping rate is made through orthogonal test and sense evaluation in order to work out the optimal content proportions and brew out the nutritious health beverage compounded by jujube and mung bean with specific flavor.
Enhancing Credit Score Analysis: A Novel Approach with Random Forest and Kernel SVM

- Credit score analysis systematically evaluates an individual or entity’s financial history and behaviour to determine their creditworthiness. Traditional methods for credit score analysis have several challenges, such as privacy concerns, lack of flexibility, vulnerability to identity theft, limited data, and real-time analysis. To overcome these complexities, this paper proposes a novel method combining the advantages of Random Forest and kernel Support Vector Machine (SVM). The proposed method has three phases: data preprocessing, feature extraction, and classification. In the preprocessing phase, the proposed method eliminates the noise and errors from the raw data based on obtaining quality input for the analysis. In this study, Random Forest is utilized to extract the most significant features based on the domain and credit data analysis also, kernel SVM is employed for classification by analyzing the components and their impact on credit scoring. Also, the study conducted experiments on the German Credit Risk dataset. The performance evaluation of the proposed method involves analyzing its effectiveness based on evaluation metrics and comparing its performance with existing methods. The experimental results depict that the proposed method obtained better outcomes and achieved high efficiency for credit score analysis.
MALNUTRICIÓN POR EXCESO Y RIESGO CARDIOMETABÓLICO EN ESCOLARES DE SEGUNDO Y TERCERO MEDIO DE LA COMUNA DE LOTA DE CHILE MALNUTRITION BY EXCESS AND CARDIOMETABOLIC RISK IN SECOND AND THIRD GRADE CHILDREN OF LOTA COUNTY OF CHILE

ABSTRACT Adolescent overweight is a widespread problem which increases the risk of developing metabolic diseases. The objective of this study was to associate metabolic syndrome and cardiovascular risk in a school in the district of Lota. A cross-sectional study with simple random probability sampling in 286 children, 14 and 18 years was taken. Prevalence of malnutrition was established, and Pearson correlation was performed. The correlations were: weight and height, 0.55; weight and waist circumference 0.87; weight and body mass index 0.86; height and waist cir - cumference 0.39; height and body mass index 0.047; body mass index and waist circumference 0.80. The presence of the metabolic syndrome conditions the presence of nutritional diseases, meaning that anthropometric indicators may be suitable for identifying the presence of cardiometabolic risk in adolescents.Key words: Obesity; overweight; cardiometabolic risk; school; waist circumference. Este trabajo fue recibido el 13 de Abril de 2010, aceptado con modificaciones el 26 de Octubre de 2010y aceptado para ser publicado el 10 de Octubre de 2011.
A Self-Organizing Angle-based Routing Protocol for Urban Environments

MANET is not suitable to be applied to vehicle environments because of frequent path loss and path re-routing. To solve these problem, It is known that location-based routing protocol VANET is efficient. But, the VANET algorithm does not consider urban environments due to frequent vehicle movement and jamming by tall building. In this paper, we propose an efficient routing protocol to improve transfer efficiency and reduce transfer hop count. in urban networks.
Outsourcing Engineering Tasks by Construction Firms: State-of-the-Art

: Engineering tasks performed by construction firms, including design review, preparation of shop drawings, planning and follow-up, cost control, value engineering, and as-built drawings, are essential for completing construction projects. Contractors usually perform these tasks using their resources. However, some contractors outsource engineering activities to specialized engineering or consultant firms. The main objective of this article is to review and summarize outsourcing studies published in different databases. In addition, studies related to engineering tasks by construction firms are reviewed to relate to the most comprehensive research on outsourcing these tasks. The overview process includes a basic definition of outsourcing and the different engineering tasks performed by construction firms. Additionally, this study presents the drivers of outsourcing, risks, and outsourcing decisions. The study highlighted a shortage of existing research on the outsourcing of engineering tasks performed by construction firms. It may serve as a starting point for researchers interested in outsourcing engineering tasks.
Ion flux measurements using a Mach-Langmuir probe in the ITER prototype neutral beam injection ion source

Neutral beam injection systems as foreseen for ITER use radio-frequency (RF) ion sources at low pressure, where negative hydrogen ions are mainly produced via surface conversion of neutral atoms and positive ions at a plasma facing grid (PG). Up to now there is only limited knowledge about how fluxes and directed velocities of the positive ions are affected by external parameters such as power, pressure and the horizontal magnetic filter field which causes plasma drifts and vertical asymmetries in the vicinity of the PG. For this reason a combined Mach-Langmuir-probe diagnostic is used at multiple positions in the expansion and close to the extraction system in the prototype RF ion source (1/8 of the full ITER ion source size) to measure the positive ions directed velocity and flux as well as the plasma parameters simultaneously. With increasing RF power the flux towards the PG is found to increase linearly, its magnitude being controlled by the plasma density. Towards ITER-relevant pressures the ion flux decreases, in contrast to the directed velocity, which increases non-linearly, reaching around 5 km s−1 at a pressure of 0.3 Pa. The magnetic filter field is discovered to strongly bent down the ion flow in front of the PG. As a result, the ions at the lower half of the PG flow almost exclusively parallel to it, wherefore the flux which impinges onto the lower PG half is reduced by around one order of magnitude.