Miracle-dz/UniFAR-FTUs huggingface dataset:
Principal‐component analysis of multiscale data for process monitoring and fault diagnosis

An approach is presented to multivariate statistical process control (MSPC) for process monitoring and fault diagnosis based on principal-component analysis (PCA) models of multiscale data. Process measurements, representing the cumulative effects of many underlying process phenomena, are decomposed by applying multiresolution analysis (MRA) by wavelet transformations. The decomposed process measurements are rearranged according to their scales, and PCA is applied to these multiscale data to capture process variable correlations occurring at different scales. Choosing an orthonormal mother wavelet allows each principal component to be a function of the process variables at only one scale level. The proposed method is discussed in the context of other multiscale approaches, and illustrated in detail using simulated data from a continuous stirred tank reactor (CSTR) system. A major contribution of the paper is to extend fault isolation methods based on contribution plots to multiscale approaches. In particular, once a fault is detected, the contributions of the variations at each scale to the fault are computed. These scale contributions can be very helpful in isolating faults that occur mainly at a single scale. For those scales having large contributions to the fault, one can further compute the variable contributions to those scales, thereby making fault diagnosis much easier. A comparison study is done through Monte Carlo simulation. The proposed method can enhance fault detection and isolation (FDI) performance when the frequency content of a fault effect is confined to a narrow-frequency band. However, when the fault frequency content is not localized, the multiscale approaches perform very comparably to the standard single-scale approaches, and offer no real advantage. © 2004 American Institute of Chemical Engineers AIChE J, 50: 2891–2903, 2004
A Novel Multi-Objective Process Parameter Interval Optimization Method for Steel Production

Customized small batch orders and sustainable development requirements pose challenges for product quality control and manufacturing process optimization for steel production. Building a multi-quality objective process parameter optimization method that converts the original single target optimization into multi-objective interval capability optimization has become a new method to ensure product quality qualification rate and reduce production costs. Aiming at the multi-quality objective control problem of plate products, we proposed a novel multi-objective process parameter interval optimization model (MPPIO) with equipment process control capability and parameter sensitive analysis. The multi-output support vector regression method was used to establish a multi-quality objective prediction model, which was settled as a verification model for the process parameter optimization results based on the particle swarm optimization algorithm (PSO). The process control capability functions of key parameters were fitted based on the real data in production. With these functions, each optimized particle of the classical PSO was converted into the particle beam of the MIPPO. The iteration process was weight controlled by calculating the Morris sensitivity between each input parameter and output index in the multi-quality objective prediction model, and finally the processing control window of each key parameter was determined according to the process parameter optimization results. The experimental results show that the MPPIO model can obtain the optimal parameter optimization results with the maximum processing capacity and meet the customized processing range requirements. The MPPIO model can reduce the difficulty of control and save production costs while ensuring the product properties is qualified.
Design and Development of a Torque Tool Testing Rig that Simulates Human Operator-Tool-Task Interactions

For some time now, automobile manufacturers, torque tool manufacturers, and biomechanics researchers have shared a common objective to reduce musculoskeletal injuries associated with DC torque tool use. To attain that goal, a better understanding of factors that contribute to these injuries has been pursued through human subjects laboratory testing, field research, and biomechanical modeling. A testing rig was recently developed that builds upon much of this prior research. The rig provides a means to simulate the effects experienced by an operator using a right angle torque tools, in part, by controlling the stiffness and mass properties of the rig. The rig also uses a database of human biomechanical properties and responses to interpret measured handle force and displacement. This rig will be used to objectively evaluate new tools and identify appropriate tool settings for specific task conditions, such as joint hardness and target torque.
Anticipatory Drainage Base Management for Groundwater Level Optimization

Controlled drainage is normally operated on a seasonal timescale to increase availability of water and to limit nutrient loss to surface water. It is conceivable that with more frequent, or even daily, management of the drainage base, controlled drainage can be both more efficient and effective. With the analytical successive steady state model presented here, rapid simulations of groundwater level and discharge as a function of time for a field under either regular or controlled drainage are feasible. The model includes effects of sudden changes in drainage base as well as damping and attenuation of dynamics by the unsaturated zone. It is validated against a numerical model and shows good agreement with numerical results. We demonstrate how this analytical model may facilitate anticipatory drainage base management based on ensemble weather forecasts, such that groundwater levels can be maintained at a theoretical optimal level.
Heat Transfer Enhancement in Helix Exchanger Using Grooved Tubes At Different Baffle Angles

Grooves on plain tubes in a helix exchanger improves the performance by increasing Reynold's number, reduce flow induced vibration and fouling while maintain a higher heat transfer capability. In the present work, an experimental analysis of grooved tube helix exchanger with different helical baffle angles was done and the influence of Reynolds number, hot water inlet temperature on the heat transfer rate and on overall heat transfer coefficient was tabulated and shown by graphs. In the present study attempts were made at 5,15,25,35 and 45 degree baffle inclination at different mass flow rate of hot water, which gives insight of all parameters affect on pressure drop, friction factor and heat transfer rate. Through experimental analysis of helix exchanger it was found that angle 25 degree behaved the best in case of grooved tube helix exchanger.
Impedance bandwidth of the square planar monopole

An analysis of a broadband square planar monopole is presented. The frequency corresponding to the lower edge of the impedance bandwidth may be found by using a simple formula, based on an equivalent cylindrical monopole. To obtain the upper edge frequency accurately, a method-of-moments analysis which employs wire gridding is required. © 2000 John Wiley & Sons, Inc. Microwave Opt Technol Lett 24: 185–187, 2000.
Physicists research practices: A perspective to rethink inquiry-based science education

Inquiry-Based Science Education (IBSE) is presented as derived from a scientific approach where students are invited to work in the way scientists work. Studying the proximity between IBSE and scientific approach can be done through different perspectives; the focus here is on the scientific approach. The goal of this case study consists in exploring the ways in which scientists perform their research by interviewing 8 French physicists volunteers to participate in the study. This preliminary research is the first step to analyze the contemporary physicists’ through research practices, and then to enrich and question IBSE in a different way. The interviews are analyzed in terms of moments, specifically a moment called “to explore/to experiment” with the ck¢ (conception, knowing, concept) framework allowing to model the conceptions of researchers. The results only show two common operators (R) related to the moment “to explore/ to experiment” concerning the research processes of the 8 physicists. However, zero control structures (∑) are common to any of them.
The Performance of Sepsis-3 Criteria to Predict Mortality Among Patients With Hematologic Malignancy and Post-transplant who Have Suspected Infection.

Background Sepsis is a leading cause of death, particularly in immunocompromised people. The revised definition of sepsis (Sepsis-3) uses the Sequential Organ Failure Assessment (SOFA) and quick SOFA (qSOFA) to identify patients with sepsis. The aim of this study was to evaluate the performance of SOFA, qSOFA, and systemic inflammatory response syndrome (SIRS) in immunocompromised patients. Methods Adult immunocompromised patients admitted to Michigan Medicine between 2012 and 2018 with suspected infection were included based on criteria adopted from the Sepsis-3 study. Each clinical score (SOFA ≥2, qSOFA ≥2, SIRS ≥2) was added to the baseline risk model as an ordinal variable as well as a dichotomous variable, and area under the receiver operating characteristic curve (AUROC) values were calculated. In addition, breakpoints of SOFA between 2 and 10 were assessed to identify the breakpoints with the highest sensitivity and specificity for hospital mortality. The analysis was stratified for intensive care unit (ICU) status. Results Of 2822 immunocompromised patients with a mean age of 56.8±15.6 years, 213 (7.5%) died during hospitalization. When added to the baseline risk model, SOFA score had the greatest predictive validity for hospital mortality (AUROC,0.802; 95% CI, 0.771-0.832), followed by qSOFA (AUROC,0.783; 95% CI, 0.754-0.812) and SIRS (AUROC,0.741; 95% CI, 0.708-0.774). Among the SOFA breakpoints that were evaluated, SOFA ≥6 had the greatest predictive validity and a moderate positive likelihood ratio (2.75) for hospital mortality. Conclusions The predictive validity for hospital mortality of qSOFA was similar among immunocompromised patients as that reported in the Sepsis-3 study. The sensitivity of qSOFA ≥2 for hospital mortality was low. SOFA ≥6 might be an effective tool to identify immunocompromised patients with suspected infection at high risk for clinical deterioration.
Comparison and evaluation of maintenance operations in lean versus non‐lean production systems

Purpose – Previous studies have found general differences between non‐lean and lean production systems, but none of them have identified the major factors in supporting operations such as maintenance which are important in shifting the production from a non‐lean to a lean system. The purpose of this paper is to determine the major factors and parameters of maintenance operations that are most effective in enhancing production to a lean system.Design/methodology/approach – A questionnaire is constructed and a direct mail survey is conducted in the greater Cincinnati/tri‐state region. The data collected are analyzed with SAS software using contingency tables with Fisher's exact test and a logistic regression analysis method.Findings – The results show strong correlations between a lean production system and some of the major maintenance variables and parameters such as annual costs of maintenance personnel, parts/materials, and training.Originality/value – The results of this study can be used as a guidelin.
Selection of Methodology for Neural Network Modeling of Constitutive Hystereses Behavior of Soils

Classic constitutive modeling of geomaterials based on the elasticity and plasticity theories suffers from limitations pertaining to formulation complexity, idealization of behavior, and excessive empirical parameters. This article capitalizes on the modeling capabilities of neural networks as substitutes for the classic approaches. The neural network–based modeling overcomes the difficulties encountered in understanding the underlying microscopic processes governing the material's behavior by redirecting the efforts into learning the cause‐effect relations from behavioral examples. Several methodologies are presented and cross‐compared for effectiveness in approximating a theoretical hysteresis model resembling stress‐strain behavior. The most effective methodology was used in modeling the constitutive behavior of an experimentally tested soil and produced models that simulated the real behavior of the soil with high accuracy. Although these models are empirical, they are retrainable and thus, unlike classic constitutive modeling techniques, can be revised and generalized easily when new data become available.
Toward high-performance quality meeting IC device manufacturing requirements with AZ SMART DSA process

Significant progresses on 300 mm wafer level DSA (Directed Self-Assembly) performance stability and pattern quality were demonstrated in recent years. DSA technology is now widely regarded as a leading complementary patterning technique for future node integrated circuit (IC) device manufacturing. We first published SMARTTM DSA flow in 2012. In 2013, we demonstrated that SMARTTM DSA pattern quality is comparable to that generated using traditional multiple patterning technique for pattern uniformity on a 300 mm wafer. In addition, we also demonstrated that less than 1.5 nm/3σ LER (line edge roughness) for 16 nm half pitch DSA line/space pattern is achievable through SMARTTM DSA process. In this publication, we will report impacts on SMARTTM DSA performances of key pre-pattern features and processing conditions. 300mm wafer performance process window, CD uniformity and pattern LER/LWR after etching transfer into carbon-hard mask will be discussed as well.
Seasonal Sources and Cycling of Nitrogen Revealed by Stable Isotopes in the Northeastern Beibu Gulf, China

Isotope measurements were performed on dissolved nitrate (NO3−) and ammonium (NH4+) in the coastal waters of the northeastern Beibu Gulf, China, to investigate the seasonal nitrate sources and their biogeochemical processes, which are due to the rapid development of local industrialisation and urbanisation. The high N/P ratio observed in the coastal bay during both fall and spring suggests that P is a limiting nutrient, which in turn indicates that increasing P causes conditions favourable for algal blooms. Higher nutrient concentrations and δ15N-NO3− and δ15N-NH4+ values were found in the nearshore area in the fall, suggesting that nutrients originated mainly from land-based pollution. A Bayesian isotope mixing model was used to calculate the contribution of potential NO3- sources and the results showed that in the nearshore area, NO3− originated mainly from manure and sewage (58%). In the spring, however, in addition to the impact of urban sewage effluents, the exchange of sediment and water was another important factor causing higher nutrient concentrations and positive NO3− isotopes in the nearshore area. There were lower concentrations of nutrients and an increase in δ15N-NO3− and δ15N-NH4+ values in the offshore area in the fall, and the NO3− loss in the surface water was mainly caused by the process of assimilation. However, the exchange of sediment and water was the dominant factor causing higher nutrient concentrations (except for NO3−) and positive dual nitrate isotopes but lower NO3− concentration in the offshore area during the spring. Overall, isotope analysis of NO3− and NH4+ helps to illustrate the major sources of the former and their biological transformation in the northeastern Beibu Gulf.
Producing Iron Endohedral Fullerene on Electron Cyclotron Resonance Ion Source

An electron cyclotron resonance (ECR) ion source (ECRIS) can generate an available amount of multicharged ions, thus it is not limited for use in the field of accelerator science, but also in medical/biological fields, such as for heavy ion beam cancer treatment and ion engines. The processes of generating multicharged ions are mainly sequential collisions of a direct ionization process by electrons, and have good ion confinement characteristics. By utilizing this confinement property, we have synthesized iron-encapsulated fullerenes, which are supramolecular and can be expected to have various high functions. Fullerenes and iron ions are vaporized from pure solid materials and introduced into the ECRIS together with the support gas. We investigated conditions under which fullerene ions do not dissociate and iron ions are generated so that both can coexist. Generated ions are extracted from the ECRIS and separated by mass/charge with a dipole magnet, and detected with a Faraday cup. This measurement system is characterized by a wide dynamic range. The charge-state distribution (CSD) of ion currents was measured to investigate the optimum conditions for supramolecular synthesis. As a result, a significant spectrum suggesting the possibility of iron-encapsulated fullerenes was obtained. This paper describes the details of these experimental results.
Identifying hidden semantic structures in Instagram data: a topic modelling comparison

Purpose Intrigued by the methodological challenges emerging from text complexity, the purpose of this study is to evaluate the effectiveness of different topic modelling algorithms based on Instagram textual data. Design/methodology/approach By taking Instagram posts captioned with #darktourism as the study context, this research applies latent Dirichlet allocation (LDA), correlation explanation (CorEx), and non-negative matrix factorisation (NMF) to uncover tourist experiences. Findings CorEx outperforms LDA and NMF by classifying emerging dark sites and activities into 17 distinct topics. The results of LDA appear homogeneous and overlapping, whereas the extracted topics of NMF are not specific enough to gain deep insights. Originality/value This study assesses different topic modelling algorithms for knowledge extraction in the highly heterogeneous tourism industry. The findings unfold the complexity of analysing short-text social media data and strengthen the use of CorEx in analysing Instagram content.
Minimally Invasive Metatarsal Osteotomies (MIMOs) for the Treatment of Plantar Diabetic Forefoot Ulcers (PDFUs): A Systematic Review and Meta-Analysis with Meta-Regressions

Plantar Diabetic Foot Ulcers (PDFUs) are frequent injuries affecting and heavily limiting the quality of life in diabetic patients. PDFUs can be treated both conservatively (with a high recurrence rate) or surgically (with a high rate of complication). Recently, minimally invasive surgery (MIS), performed by small incisions, has been increasingly applied on diabetic feet due to their encouraging outcomes and low complication rate. This systematic review with meta-analysis and meta-regression aims to evaluate for the first time the effectiveness of minimally invasive metatarsal osteotomies (MIMOs) in treating PDFUs and reducing their recurrence rate. A literature search of PubMed/MEDLINE, ISI/Web of Science and Scopus databases was carried out with the keywords “(metatarsal osteotom*) OR (metatarsal AND osteotom*) AND diabet* AND (feet OR foot OR forefoot) AND ulcer”, covering the period from 1980 until June 2021 following PRISMA guidelines. The JBI critical appraisal tool was used for Quality Assessment. Healing rate/time, infection rate, recurrence rate, non-union rate and complication rate were evaluated. When possible, these values were pooled and expressed in effect size (ES), and their 95% confidence interval (CI) was computed. Meta-regression analysis (both uni- and multivariate) was conducted. Eight studies were included in the review, including 189 patients. The healing rate of these studies ranged between 55.1 and 100%, infection rate from 3.3% to 31.8%, recurrence rate from 0.0% and 13.6% and non-union rate from 4.5–30.0%. Overall complication rate was reported in three studies and ranged from 44.9 to 68.2%. Meta-analysis of the various rates revealed an overall healing rate of 91.9% (range from 74.9 to 97.8%), infection rate of 10.9% (4.2–25.2%), recurrence rate 7.2% (3.6–14.2), non-union rate 16.9% (10.2–26.7) and finally, the complication rate was computed at 53.2%. Satisfactory short- to medium-term clinical and radiographic results were reported by the studies included in this review, supporting that MIMOs represent an effective surgical approach to treat PDFUs. However, poor quality in the methodology of some studies and the lack of long-term data were reported. Therefore, randomized controlled trials, prospective studies and long-term follow-up studies are needed
Pressure mediated tunable elastomeric optofluidic devices

We introduce a novel tuning mechanism based on pressure actuating force, which can enable a broad spectrum of tunable elastomeric optofluidic devices. Thanks to the flexibility of the Polydimethylsiloxane (PDMS) material, the local deformation inside PDMS chip can be generated by filling the compressed air/liquid into the embedded channels. Such tuning method turns out to be very simple for fabrication and control, also being compatible with microfluidic chips. To this end, we have demonstrated the pressure mediated tunable optofluidic gratings, tunable optofluidic laser, and microfluidic 2×2 optical switch.
The effect of different drying methods on nutritional composition The effect of different drying methods on nutritional composition and antioxidantactivity of purslane (Portulaca oleracea) and antioxidantactivity of purslane (Portulaca oleracea)

: The aim of this study was to determine the effect of different drying methods on the nutritional content and antioxidant activity of purslane. Two different purslane samples have been dried using four different methods (sun, vacuum, hot air, and freeze drying). Dried and fresh samples were analyzed for their dry matter, β-carotene content, chlorophyll a and chlorophyll b contents, total flavonoid content, total flavonol content, total phenolic content, %DPPH radical scavenge activity, metal chelating activity, and color. The dry matter content of fresh purslane was 3.86%–5.28%. The β-carotene, chlorophyll a and b amounts varied from 61.31 to 67.08 mg/100 g, 103.11 to 138.11 mg/100 g and 56.14 to 62.06 mg/100 g, respectively on dry weight basis. The total flavonoid, total flavonol, and total phenolic contents were 9.61–28.20 mg RE (rutin equivalent)/g DW (dry weight), 3.48–17.27 mg RE/g, and 14.86–17.95 mg GAE (gallic acid equivalent)/g DW, respectively. DPPH scavenging activity ranged from 158.19 to 168.22 µg/mL, and metal chelating activity varied between 5.75% and 22.44%. Fresh purslane color values L*, a* , and b* ranged from 33.41 to 35.25, –6.70 to –7.28, and 13.51 to 14.60, respectively. Dry matter content, total phenolic content, antioxidant activity, β-carotene, flavonoid, flavonol, and color ( L* , a* , and b* ) values were significantly affected by drying method. Drying methods caused a significant decrease in β-carotene, total flavonoid, total flavonol, and total phenolic contents of purslane. On the other hand, an increase in dry matter, metal chelating, chlorophyll a and chlorophyll b have been observed as a result of drying. Considering the variations in the effects of drying methods on the examined parameters and the disadvantages of some drying methods; in addition to the reasonable results obtained by hot air drying. Hot-air drying process could be suggested as a recommendable drying process for purslane.