Miracle-dz/UniFAR-FTUs huggingface dataset:
Review Paper on Sustainability in Manufacturing System

Considering the impact of global warming, terrorism, earthquakes, hurricanes, and carbon footprint awareness reveal that having a successful business is not sufficient. Indeed concentrating on the environmental issue and try to safeguard the environment is crucial, therefore, sustainability become an attractive concepts in industry and manufacturing system during these years. In recent years, the concept of sustainability has gradually evolved and has begun receiving international attention. Environmentally friendly product and totally sustainable supply chain and manufacturing system help organization to reduce use of material and enhance the business competitiveness. In the other words, sustainability is a weapon which employed in order to help organizations perform well, not only environmentally, but also, socially and economically. This paper has taken the broad look at the sustainability in manufacturing system, supply chain, also tries to show the impoortance of sustainability among the researchers, in addition, this paper makes effort to have a breif review on litereature of sustainability in manufacturing system. KEYWORD: sustainability, manufacturing system, supply chain management.
Temperature compensation and scalability of hysteretic/anhysteretic magnetic-property sensors

Non-destructive/noncontact stress sensors based on magnetoelastic principles have numerous applications for monitoring cable stress. However, their widespread use is hampered by problems related to temperature compensation and to scaling of calibration data to large cables, which is the domain of greatest interest. In this paper, experimental magnetic property and thermal response data are obtained and analyzed to address these problems. The magnetic property data include initial curves, major hysteresis loops, and anhysteresis curves, all obtained quasistatically. The thermal response data are presented in the form of a dimensionless correlation which is valid over a range of Reynolds numbers. Comparison of data indicates the feasibility of using absolute magnetic property measurements as the basis for direct calibration of large sensors.
Experimental Study on Impeller Blade Vibration During Resonance—Part I: Blade Vibration Due to Inlet Flow Distortion

Forming the first part of a two-part paper, the experimental approach to acquire resonant vibration data is presented here. Part II deals with the estimation of damping. During the design process of turbomachinery components, mechanical integrity has to be guaranteed with respect to high cycle fatigue of blades subject to forced response or flutter. This requires the determination of stress levels within the blade, which in turn depend on the forcing function and damping. The vast majority of experimental research in this field has been performed on axial configurations for both compressors and turbines. This experimental study aims to gain insight into forced response vibration at resonance for a radial compressor. For this purpose, a research impeller was instrumented with dynamic strain gauges and operated under resonant conditions. Modal properties were analyzed using finite element method and verified using an optical method termed electronic-speckle-pattern-correlation-interferometry. During the experiment, unsteady forces acting on the blades were generated by grid installations upstream of the impeller, which created a distorted inlet flow pattern. The associated flow properties were measured using an aerodynamic probe. The resultant pressure fluctuations on the blade surface and the corresponding frequency content were assessed using unsteady computational fluid dynamics. The response of the blades was measured for three resonant crossings, which could be distinguished by the excitation order and the natural frequency of the blades. Measurements were undertaken for a number of inlet pressure settings starting at near vacuum and then increasing. The overall results showed that the installed distortion screens generated harmonics in addition to the fundamental frequency. The resonant response of the first and the second blade mode showed that the underlying dynamics support a single-degree-of-freedom model.
Overexpression of Orange Gene (OsOr-R115H) Enhances Heat Tolerance and Defense-Related Gene Expression in Rice (Oryza sativa L.)

In plants, the orange (Or) gene plays roles in regulating carotenoid biosynthesis and responses to environmental stress. The present study investigated whether the expression of rice Or (OsOr) gene could enhance rice tolerance to heat stress conditions. The OsOr gene was cloned and constructed with OsOr or OsOr-R115H (leading to Arg to His substitution at position 115 on the OsOr protein), and transformed into rice plants. The chlorophyll contents and proline contents of transgenic lines were significantly higher than those of non-transgenic (NT) plants under heat stress conditions. However, we found that the levels of electrolyte leakage and malondialdehyde in transgenic lines were significantly reduced compared to NT plants under heat stress conditions. In addition, the levels of expression of four genes related to reactive oxygen species (ROS) scavenging enzymes (OsAPX2, OsCATA, OsCATB, OsSOD-Cu/Zn) and five genes (OsLEA3, OsDREB2A, OsDREB1A, OsP5CS, SNAC1) responded to abiotic stress was showed significantly higher in the transgenic lines than NT plants under heat stress conditions. Therefore, OsOr-R115H could be exploited as a promising strategy for developing new rice cultivars with improved heat stress tolerance.
Making an Aquarium Environment Interactive: A Design Research Analysis of Exhibit Design Processes

approved: _____________________________________ Lawrence B. Flick The purpose of this study was to investigate the development of an interactive aquarium design motivated by the employment of an innovative technology used in scientific research. The study was informed by research on free-choice learning describing the effects of interactive devices on visitor learning, engagement, and attitudes. The researcher used design research methods to conduct multiple iterations of aquarium environment modifications. Observation data of visitor interactions were analyzed in the development of three different aquarium environments. The researcher used survey, interview, and observation data to study visitor interactions in the three contrasting aquarium environments. Results describe exhibit factors associated with visitor behaviors using the scientific instrument and social or individual interactions in the exhibit environments. Results also present an analysis of design processes that were shaped by data on desired visitor interactions and adult learning. Through design research methods, this study contributes to theory of exhibit design for visitor engagement and learning. Copyright by William Hanshumaker September 9, 2010 All Rights Reserved Making an Aquarium Environment Interactive: A Design Research Analysis of Exhibit Design Processes by William Hanshumaker A DISSERTATION submitted to Oregon State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy Presented on September 9, 2010 Commencement June 2011 Doctor of Philosophy dissertation of William Hanshumaker presented on September 9, 2010
Contributions of Distribution Modelling to the Ecological Study of Psittaciformes

We provide an overview of the use of species distribution modeling to address research questions related to parrot ecology and conservation at a global scale. We conducted a literature search and applied filters to select the 82 most relevant studies to discuss. The study of parrot species distribution has increased steadily in the past 30 years, with methods and computing development maturing and facilitating their application for a wide range of research and applied questions. Conservation topics was the most popular topic (37%), followed by ecology (34%) and invasion ecology (20%). The role of abiotic factors explaining parrot distribution is the most frequent ecological application. The high prevalence of studies supporting on-ground conservation problems is a remarkable example of reduction in the research–action gap. Prediction of invasion risk and assessment of invasion effect were more prevalent than examples evaluating the environmental or economic impact of these invasions. The integration of species distribution models with other tools in the decision-making process and other data (e.g., landscape metrics, genetic, behavior) could even further expand the range of applications and provide a more nuanced understanding of how parrot species are responding to their even more changing landscape and threats.
Neurofeedback Training Based on Motor Imagery Strategies Increases EEG Complexity in Elderly Population

Neurofeedback training (NFT) has shown promising results in recent years as a tool to address the effects of age-related cognitive decline in the elderly. Since previous studies have linked reduced complexity of electroencephalography (EEG) signal to the process of cognitive decline, we propose the use of non-linear methods to characterise changes in EEG complexity induced by NFT. In this study, we analyse the pre- and post-training EEG from 11 elderly subjects who performed an NFT based on motor imagery (MI–NFT). Spectral changes were studied using relative power (RP) from classical frequency bands (delta, theta, alpha, and beta), whilst multiscale entropy (MSE) was applied to assess EEG-induced complexity changes. Furthermore, we analysed the subject’s scores from Luria tests performed before and after MI–NFT. We found that MI–NFT induced a power shift towards rapid frequencies, as well as an increase of EEG complexity in all channels, except for C3. These improvements were most evident in frontal channels. Moreover, results from cognitive tests showed significant enhancement in intellectual and memory functions. Therefore, our findings suggest the usefulness of MI–NFT to improve cognitive functions in the elderly and encourage future studies to use MSE as a metric to characterise EEG changes induced by MI–NFT.
Artificial neural networks based models for the multiply excited switched reluctance motor

The flux per phase of multiply excited switched reluctance motors (SRM) deviates from the flux per phase in the singly excited case. Likewise, the net torque deviates from the value obtained by superposition of the results from the singly excited case. This is due to mutual flux interactions between the excited phases and nonlinearities in the system. This paper describes a simplified approach, based on feedforward (FF) artificial neural networks (ANN), to account for these mutual interactions and for the estimation of torque when simultaneously exciting two phases. The proposed technique requires a small measured data set and involves simple calculations. This technique can be applied in simulations as well as in real-time implementations for online phase-flux and torque computations. A description is included of an implementation on the Texas Instruments (TI) TMS320C6701 DSP. The paper also describes a scheme for measurements and quantification of the mutual flux interaction between the phases.
Theoretical optimization of functional graded micropillars for strong and durable bioinspired dry adhesion

Abstract Inspired by the prominent adhesion capability of gecko foot-hair, micro/nano-pillar array has been fabricated and widely explored as biomimetic dry adhesives. Pillars with graded material along their length have been proved to have great advantage in simultaneously raising adhesion and reducing clusterisation, yet the design of the graded micropillars lacks theoretical and quantitative guides. In this work, we first derived the theoretical expressions of critical aspect ratio and effective elastic modulus for graded micropillars composed of rigid bases and soft tips. Then, a Cohesive Zone Model (CZM) was constructed to simulate the lateral collapse of the two-step-graded micropillars with epoxy resin and polyurethane (typical materials adopted in the reported experiments) as the base and tip materials, respectively. Combining the numerical results and the theoretical ones, we found that when the length ratio of the rigid base to the micropillar increases, the ability of the pillars to resist structural collapse enhances (i.e., the critical aspect ratio raises), while the adhesion strength reduces (i.e., the effective elastic modulus increases). Considering the tradeoff between the structural stability and the adhesion strength, we found an optimum value of ∼0.65 for the length ratio of the rigid base to the whole micropillar. Our study establishes theoretical models for the critical aspect ratio and effective elastic modulus for the graded micropillars and provides quantitative guides to the design and optimization of bioinspired dry adhesives.
Prognostic value of residual cancer burden and Miller-Payne system after neoadjuvant chemotherapy for breast cancer.

Background To verify the feasibility of using the residual cancer burden (RCB) index to stratify prognosis of patients after neoadjuvant chemotherapy (NAC) and to compare RCB with the Miller-Payne system. Methods We retrospectively analyzed clinicopathological data of patients receiving treatment between January 1, 2010 and December 31, 2018. Kaplan-Meier curves were used to compare the survival outcomes and estimate disease-free survival (DFS) and disease-specific survival (DSS). Harrell's concordance index (C-index) was used to evaluate the predictive accuracy of RCB and Miller-Payne system. Results A total of 423 female patients with complete data were included in the analysis, with a median follow-up time of 58.5 months (range, 7-126 months); 84 patients experienced recurrence, and 48 experienced breast cancer related death. RCB index and the Miller-Payne system were associated with prognosis in the whole cohort. Patients who achieved RCB-I had similar survival outcomes as those with pathological complete response (pCR, RCB-0). In whole cohort, for the RCB index and the Miller-Payne system, respectively, C-indexes for DFS were 0.73 and 0.64, for DSS were 0.74 and 0.64. The average RCB score was different among three subtypes (F=9.335, P<0.001). Conclusions The RCB index and the Miller-Payne system can stratify survival outcome of patients after NAC, and RCB had a superior prediction accuracy, especially for triple-negative breast cancer (TNBC). New cut-off value should be sought in order to improve prediction accuracy.
Abiotic factors, not mycorrhizal associations, predict size and abundance of the invasive grass Microstegium vimineum

Abstract. Both abiotic and biotic factors can influence distributions of invasive plant species, and it is important to understand how such factors contribute to invasion success in order to develop successful management strategies. Microstegium vimineum, known as stiltgrass, is an invasive annual grass in U.S. eastern deciduous forests that can outcompete native understory species, decrease diversity, and prevent the regeneration of native trees. Microstegium is also known to form associations with arbuscular mycorrhizal fungi (AMF), but research has yet to demonstrate whether this association has a role in Microstegium invasion and dominance over native vegetation. We conducted a field survey in invaded and uninvaded habitats across six sites near Louisville, KY, USA, to explore the relative importance of biotic versus abiotic factors in predicting Microstegium abundance and size. Canopy openness was the strongest predictor of Microstegium abundance, followed by soil moisture. Soil nitrogen was the strongest predictor of Microstegium tiller height. Surprisingly, AMF extraradical hyphal abundance and root colonization were not significant predictors of Microstegium abundance or size. In terms of abiotic factors, our results confirm previous studies that have demonstrated that Microstegium grows best in areas with high light and high soil moisture; however, our analysis provides further insight by assessing the relative importance of each of these factors for Microstegium invasion.
Service-level performance of MRP, kanban, CONWIP and DBR due to parameter stability and environmental robustness

Decisions regarding production planning and control strategy (PPCS) choices can be classified as strategic, whereas parametrization issues are of a tactical nature. However, readjustment is often skipped either as a result of a lack of planning expertise or because it would require extended planning. For this reason, robustness, which is defined as PPCS behaviour within dynamic environments, is investigated. To achieve a greater understanding of the sensitivity on parameter changes in a production system, PPCS stability is examined. An eM-Plant based simulation model is presented that discusses the service-level performance of material requirement planning (MRP), kanban, constant work in process (CONWIP) and drum–buffer–rope (DBR) in a flow-shop with attention to the work in process (WIP). Although the service-level performance of CONWIP exceeds that of the other systems, CONWIP struggles to maintain its advantage under dynamic conditions. The paper seeks to support industrial practitioneers both in their choice of a specific PPCS and to parametrize the PPCS successfully.
Neurochat: design of brain computer interface system based on implantable electrode

The brain-computer interface can create a connection between the central nervous system of a human or animal and an external device to exchange information. We designed a complete set of brain-computer interface collection components Neurochat Series, using the latest 3D printing technology and high-precision CNC to reduce the complexity of production, while ensuring the collection effect, reducing the time for electrode production. With the help of Neurochat series, the signal collection from brain waves to local field potentials and neuron spikes is realized, which is very suitable for obtaining EEG information data in animal experiments.
Novel soft-switching full-bridge converter with magnetic amplifiers

A novel full-bridge DC-to-DC converter combines the functions of the lossless soft-switching and secondary side PWM output voltage regulation at constant-switching frequency. The primary side switches of the bridge are driven at constant frequency and near 50% duty ratios with small dead-times, while the output voltage is regulated by PWM control of the magnetic amplifiers on the secondary side. The proposed converter exhibits soft-switching for no-load to full load conditions and maintains high overall efficiency. Experimental results obtained on 300 W, 48 V prototype operated from 300 VDC confirm those features. <<ETX>>
7.7.1 Knowledge Management in Collaborative Product Development

An increasing amount of main suppliers are using sub‐suppliers to perform different tasks in the product development process. As a result, the knowledge needed for developing a new product will be distributed throughout many actors. Knowledge management is a comprehensive term for providing the right piece of knowledge to the right persons at the right time. This paper deals mainly with the question for how knowledge is managed in the collaborative product development between main and sub‐suppliers (system level). The result is based on a case study with one main supplier and ten of their sub‐suppliers, in which the main suppler develops, assembles, and delivers a whole, complex product to the customer. The study shows that the sub‐suppliers' knowledge and experiences are not fully utilized in the relationship with the main supplier. Some different ways of working are discussed in the paper's conclusions section, to improve the knowledge exchange between main and sub‐suppliers.
High resolution Schottky CdTe diode detector

We describe recent progress on the use of Schottky CdTe diode detectors for spectrometry. The low leakage current of the CdTe diode allows us to apply a much higher bias voltage than was possible with previous CdTe detectors. For a relatively thin detector of 0.5-1 mm thick, the high bias voltage results in a high electric field in the device. Both the improved charge collection efficiency and the low-leakage current lead to an energy resolution of better than 600 eV FWHM at 60 keV for a 2/spl times/2 mm/sup 2/ device without any charge-loss correction electronics. Large area detectors with dimensions of 21/spl times/21 mm/sup 2/ are now available with an energy resolution of /spl sim/2.8 keV. Long term stability can be easily attained for relatively thin (< 1 mm) detectors, if they are cooled or operated under a high bias voltage.
Interactive selection model for supplier selection process: an analytical hierarchy process approach

Supplier Selection Process (SSP) becomes increasingly important for most manufacturing firms as it helps to reduce directly cost to the bottom line. The selection process involves the determination of quantitative and qualitative factors so as to select the best possible suppliers. It is essential to identify the relationship with the suppliers in terms of tangible factors. Owing to subjective human judgement in determining the relative importance of those selection factors, a method called Chain of Interaction is proposed to solve the problems associated with the dynamic nature of supply chain management. Focusing on the goodwill of an Analytic Hierarchy Process, an Interactive Selection Model is suggested to systemize the earlier steps, such as the determination of buyer-supplier relationships and formation of selection criteria, before the implementation of the Analytic Hierarchy Process with the help of Multi-Criterion Decision Making software called Expert Choice. The proposed Interactive Selection Model can be applied to supplier selection through the identification of buyer-supplier interactions and the valid data-collection methods. A numerical example is presented and the pros and cons of the model examined to seek further modification.
Adaptive Differential Evolution: A Robust Approach to Multimodal Problem Optimization

Related Work and Background. - Theoretical Analysis of Differential Evolution. - Parameter Adaptive Differential Evolution. - Surrogate Model-Based Differential Evolution. - Adaptive Multi-objective Differential Evolution. - Application to Winner Determination Problems in Combinatorial Auctions. - Application to Flight Planning in Air Traffic Control Systems. - Application to the TPM Optimization in Credit Decision Making. - Conclusions and Future Work.
Characteristics of sliver defects caused by mould flux entrainment on the surface of the hot-dip galvanised automobile exposed panel

The characteristics of sliver defects caused by entrained mold fluxes were analyzed after nonaqueous electrolysis. There are three types of entrained mold fluxes, namely the granular, flaky and blocky. When the entrained mold fluxes are small, they are granular or flaky. When the entrained mold fluxes are large, they are blocky or flaky. From the start part of the defect zone, the area fraction of the entrained mold fluxes per unit area decreases exponentially with the length of defect. After the mold fluxes are entrained into the molten steel, SiO2 will react with Al and Ti, resulting in the changes in compositions of mould powders. On the cross-section, the zinc layer thickness in the defect zone, is 22–35 μm, thicker than that in the non-defect zone. Near the entrained mold fluxes, the randomness of grain orientation and the inhomogeneity of grain size are increased and the local grains are refined.