Miracle-dz/UniFAR-FTUs huggingface dataset:
Shenzhen's Bay Era Landscape Design for Shenzhen Bay Park

It takes about eight years to design and construct the Shenzhen Bay Park,which is opened before the opening of the 26th Universiade in 2011.The landscape planning and design of the park focused on the site condition of Shenzhen Bay and created an organic connection between the areas that are frequently used for public activities and areas of highly eco-sensitivity.With the newlybuilt attractive `Bay Landscape' and `Bay Ecology',designers successfully created a high-end waterfront recreational public space and introduced a new `Bay Life' and `Bay Culture' to the citizens.The Shenzhen Bay Promenade not only provides recreation,sports,sightseeing and popular science education programs for residents and visitors,but also presents Shenzhen as a vigorous modern seafront city.
The properties of optimal two-dimensional phononic crystals with different material contrasts

By modifying the spatial distribution of constituent material phases, phononic crystals (PnCs) can be designed to exhibit band gaps within which sound and vibration cannot propagate. In this paper, the developed topology optimization method (TOM), based on genetic algorithms (GAs) and the finite element method (FEM), is proposed to design two-dimensional (2D) solid PnC structures composed of two contrasting elastic materials. The PnCs have the lowest order band gap that is the third band gap for the coupled mode, the first band gap for the shear mode or the XY34Z band gap for the mixed mode. Moreover, the effects of the ratios of contrasting material properties on the optimal layout of unit cells and the corresponding phononic band gaps (PBGs) are investigated. The results indicate that the topology of the optimal PnCs and corresponding band gaps varies with the change of material contrasts. The law can be used for the rapid design of desired PnC structures.
Energy Generation from Revolving Door

To meet energy demand, renewable energy and some unconventional source of energy can provide the necessary amount of clean energy for climate stabilization and reduce the consumption of fossil fuel. In this paper, prospect and feasibility of power generation by using revolving door has been investigated. The objectives of this paper is to designand fabricated of a prototype revolving door which can generate energy by amplifying the initial RPM of door shaft. Gear, pinion and motor mechanismare used as an energy generation part of the proposed revolving door. Different data are taken by applying various conditions despite the RPM in practice. The prototype can produce 4 volts and the total output depends on frequency of people passing through the door. By this arrangement, the minimum output power is obtained nearly 1.564 watts at RPM 13 and the maximum output power is found about 2.6 watts at RPM 23.
Fuzzy Commitment Scheme-Based Secure Identiﬁca-tion for JPEG XR Images under Various Compression Ratios

A secure identiﬁcation scheme for JPEG XR images is proposed in this paper.The aim is to securely identify JPEG XR images which are generated from the same original image under various compression levels. The positive and negative signs of lapped biorthogonal transform coeﬃcients are used as features.The proposed scheme is robust against a diﬀerence in compression levels, and does not produce false negative matches in any compression level. In addition, to construct a secure identiﬁcation system, we propose a novel identiﬁcation system that consists of an error correction technique and a fuzzy commitment scheme, which is a well-known biometric cryptosystem. There is no existing scheme having these properties for JPEG XR images. Moreover, a way for speeding up the identiﬁcation is also proposed. The experimental results show the proposed scheme is eﬀective for identifying JPEG XR images in terms of true positive matches.
University of Southern Denmark Effects of directional hearing aid processing and motivation on EEG responses to continuous noisy speech Neher,

Citation for pulished version (APA): Neher, T. , Mirkovic, B. , & Debener, S. (2020). Effects of directional hearing aid processing and motivation on EEG responses to continuous noisy speech. In A. A. Kressner, J. Regev, J. Christensen-Dalsgaard, L. Tranebjærg, S. Santurette, & T. Dau (Eds.), Proceedings of the International Symposium on Auditory and Audiological Research: Auditory Learning in Biological and Artificial Systems (Vol. 7, pp. 189-196). Danavox Jubilee Foundation. The ISAAR proceedings Vol. 7
The Factors Influencing Residential Satisfaction by Public Rental Housing Type

The purpose of this study is to determine the level of satisfaction among residents in public rental housing to solve the housing problems of low-income households. From among the various types of public rental housing, those with large differences in the physical housing environment were selected for an analysis of the environmental factors impacting tenants′ residential satisfaction. To achieve the study′s objective, the residential satisfaction of tenants in public residential housing in Seoul was researched and analyzed; results are as follows. First, the environmental factors impacting individuals living in public rental housing were described as the ″Safety and Incivility Factor″ (SIF), ″Physical Factor″ (PF), ″Facilities Accessibility Factor″ (FAF), and ″Equipment Factor″ (EF). Second, these factors were found to impact residential satisfaction of tenants in public rental apartments in the order of EF, SIF, PF, and FAF; they were found to impact the tenants of public rental general houses in the order of SIF, EF, PF, and FAF. These differences are based on the public rental housing type, which necessitates plans that consider priority improvement of residential environment factors according to housing types, to improve the residential satisfaction of tenants in both currently operating and future public rental housing.
Conversion of recombinant human ferritin light chain inclusion bodies into uniform nanoparticles in Escherichia coli for facile production

Prokaryotic expression systems are widely used to produce many types of biologics because of their extreme conveniences and unmatchable cost. However, production of recombinant human ferritin light chain (rhFTL) protein is largely restrained because its expression in Escherichia coli tends to form inclusion bodies (IBs). In this study, a prokaryotic expression vector (FTL‐pBV220) harboring the rhFTL gene was constructed using a pBV220 plasmid. The tag‐free rhFTL was highly expressed and almost entirely converted to soluble form, and thus the rhFTL was successfully self‐assembled into uniform nanoparticles in E. coli. To establish a simplified downstream process, a precipitation procedure based on the optimized incubation temperature, pH condition, and ionic strength was developed to remove impurities from the crude lysate supernatant. The rhFTL retained in the clarified supernatant was subsequently purified in a single step using Capto Butyl column resulting in a considerable recovery and high purity. The purified rhFTL was characterized and verified by mass spectrometry and spectral and morphological analyses. The results revealed that rhFTL exhibited highly ordered and fairly compact structures and the spherical structures were preserved.
PyBrain

PyBrain is a versatile machine learning library for Python. Its goal is to provide flexible, easyto-use yet still powerful algorithms for machine learning t asks, including a variety of predefined environments and benchmarks to test and compare algorithms . I plemented algorithms include Long Short-Term Memory (LSTM), policy gradient methods, (m ultidimensional) recurrent neural networks and deep belief networks.
Effect of potassium silicate on epidemic components of powdery mildew on melon

The effects of silicon (Si) supplied in the form of potassium silicate (PS) were evaluated on epidemic components of powdery mildew of melon under greenhouse conditions. The PS was applied to the roots or to leaves. In the first experiment, epidemic components were evaluated after inoculation with Podosphaera xanthii. In the second experiment, the disease progress rate was evaluated on plants subjected to natural infection. The area under the disease progress curve was reduced by 65% and 73% in the foliar and root treatments, respectively, compared to control plants, as a consequence of reductions in infection efficiency, colony expansion rate, colony area, conidial production and disease progress rate. However, root application of PS was more effective than foliar application in reducing most of the epidemic components, except for infection efficiency. This can be explained by the high Si concentration in leaf tissues with root application, in contrast to the foliar treatment where Si was only deposited on the external leaf surfaces. The effects of PS reported in this study demonstrated that powdery mildew of melon can be controlled, and that the best results can be achieved when PS is supplied to the roots.
CFD simulation and study on air flow in large space building

For the complexity and high initial capital cost in designing air conditioning system of large space building, it is necessary to simulate predict air distribution, thermal comfort of design system. This paper simulates and predicts thermal comfort and air distribution of existed air conditioning mode in Tianjin International Exhibition Center, second phase project B hall. The research is important in optimizing air conditioning system, simulating air distribution and thermal comfort in large space building. 
THE IMPACT OF BRAND EVALUATION, SATISFACTION, BRAND RELATIONSHIP AND TRUST TO BRAND LOYALTY: A CASE STUDY OF THE INDONESIAN SMARTPHONE INDUSTRY

This research was conducted in order to uncover the impact of brand evaluation, satisfaction, and trust on brand loyalty in the Indonesian smartphone industry. This research implemented survey method, in which questionnaires were used as the instruments to collect all of the data from the respondents. A total of 300 respondents participated in this research, in which, after further assessments, all data could be deemed as valid and reliable. All data that have been collected and assessed then were analyse used Partial Least Squares-Structural Equation Modelling (PLS-SEM) method, using Smart PLS 3.2. 7 software. Based on the results of the data analysis, it could be concluded that brand evaluation, satisfaction, brand evaluation, and trust had a positive impact on brand loyalty.
Progressive schema of 5G for Industry 4.0: features, enablers, and services

Purpose The development of new communication technology such as 5G is now a solid choice for Industry 4.0. 5G in the fifth generation replaces the presently used mobile telecommunications networks. In every sector of modern life, this technology is designed to resolve the issue of the enormous rise in daily gadgets. 5G allows rapid data transfer and significantly improves the Internet of Things (IoT), which contains billions of devices. The purpose of this paper is to study the potential applications of 5G for Industry 4.0. Design/methodology/approach Relevant research publications from Scopus, Web of Science and Google Scholar were identified to accomplish the objectives of this paper. 5G for Industry 4.0 enables crucial communications such as wireless management of machines and robotics to unleash Industry 4.0’s full potential, including the considerable proliferation of IoT devices in 5G. This technology enhances quality control, increasing inspections that rely on real-time analysis for rapid and early detection. Findings In Industry 4.0, 5G technology provides high speed and flexibility connectivity which helps to enhance the entire manufacturing system. This paper briefs about 5G and different network technologies used in 5G. Advancements, associated features and specialties, and significant enablers of 5G for Industry 4.0 are discussed. Finally, the paper identifies and discusses eighteen 5G applications for Industry 4.0. 5 G-enabled robots are used in manufacturing to carry out extensive work to enhance connectivity. Originality/value 5G is the next-generation communication technology, allowing numerous examples of inventive usage, including Industry 4.0. In line with its long-term vision of digitisation, 5G benefit the whole value chain, including consumers and businesses.
Proposal of a Wearable Multimodal Sensing-Based Serious Games Approach for Hand Movement Training After Stroke

Stroke often leads to hand motor dysfunction, and effective rehabilitation requires keeping patients engaged and motivated. Among the existing automated rehabilitation approaches, data glove-based systems are not easy to wear for patients due to spasticity, and single sensor-based approaches generally provided prohibitively limited information. We thus propose a wearable multimodal serious games approach for hand movement training after stroke. A force myography (FMG), electromyography (EMG), and inertial measurement unit (IMU)-based multi-sensor fusion model was proposed for hand movement classification, which was worn on the user’s affected arm. Two movement recognition-based serious games were developed for hand movement and cognition training. Ten stroke patients with mild to moderate motor impairments (Brunnstrom Stage for Hand II-VI) performed experiments while playing interactive serious games requiring 12 activities-of-daily-living (ADLs) hand movements taken from the Fugl Meyer Assessment. Feasibility was evaluated by movement classification accuracy and qualitative patient questionnaires. The offline classification accuracy using combined FMG-EMG-IMU was 81.0% for the 12 movements, which was significantly higher than any single sensing modality; only EMG, only FMG, and only IMU were 69.6, 63.2, and 47.8%, respectively. Patients reported that they were more enthusiastic about hand movement training while playing the serious games as compared to conventional methods and strongly agreed that they subjectively felt that the proposed training could be beneficial for improving upper limb motor function. These results showed that multimodal-sensor fusion improved hand gesture classification accuracy for stroke patients and demonstrated the potential of this proposed approach to be used as upper limb movement training after stroke.
Phosphoregulation of Kinesins Involved in Long-Range Intracellular Transport

Kinesins, the microtubule-dependent mechanochemical enzymes, power a variety of intracellular movements. Regulation of Kinesin activity and Kinesin-Cargo interactions determine the direction, timing and flux of various intracellular transports. This review examines how phosphorylation of Kinesin subunits and adaptors influence the traffic driven by Kinesin-1, -2, and -3 family motors. Each family of Kinesins are phosphorylated by a partially overlapping set of serine/threonine kinases, and each event produces a unique outcome. For example, phosphorylation of the motor domain inhibits motility, and that of the stalk and tail domains induces cargo loading and unloading effects according to the residue and context. Also, the association of accessory subunits with cargo and adaptor proteins with the motor, respectively, is disrupted by phosphorylation. In some instances, phosphorylation by the same kinase on different Kinesins elicited opposite outcomes. We discuss how this diverse range of effects could manage the logistics of Kinesin-dependent, long-range intracellular transport.
Comprehensive Analysis of the Expression and Prognosis for MCM4 in Uterine Corpus Endometrial Carcinoma

Background: Mini chromosome maintenance protein 4 (MCM4) belongs to the family of mini chromosome maintenance proteins (MCMs) that plays a crucial role in DNA replication and cell cycle regulation. Given that MCM4 has been reported to be aberrantly expressed in a variety of tumor tissues, and is strongly associated with poor patient prognosis, it has rarely been reported in uterine corpus endometrial carcinoma (UCEC). Methods: We explored the role of MCM4 in UCEC through multi-omics analysis, including gene expression levels, survival prognosis, the biological function of interacting proteins, immune infiltration, and diagnostic value. Finally, these results were confirmed by biological experiments. Results: MCM4 was highly expressed in various malignancies including UCEC compared to normal samples and was associated with poor prognosis in patients with UCEC [including OS (HR = 1.74, p = 0.009), PFI (HR = 1.73, p = 0.002), PFI (HR = 2.23, p = 0.003)]. In the Cox regression analysis, MCM4 was an independent prognostic biomarker. Further studies showed those interacting proteins of MCM4 were enriched in DNA repair and cell cycle. Moreover, high expression of MCM4 was accompanied by lower infiltration of immune cells such as Treg cells and B cells. The distribution of MCM4 expression in molecular and immune subtypes was significantly different (p < 0.05), with high expression in the copynumber high (CN_HIGH) molecular subtype and the IFN-gamma dominant (C2) immune subtype. RT-qPCR and immunohistochemistry results also showed that MCM4 expression was significantly upregulated in endometrial cancer tissues and negatively correlated with patient prognosis (p < 0.05). Subsequent biological experiments confirmed that MCM4 promoted cell growth and invasion and inhibited apoptosis in vitro. Conclusion: Therefore, MCM4 could be a new potential biomarker for UCEC.
Dynamic Capabilities and an ESG Strategy for Sustainable Management Performance

This research explores the dynamic capabilities required for firms to implement environmental, social, and governance (ESG) strategies, and investigates sustainable management performance that can be created based on them. By using dynamic capabilities theory, we integrate sustainable management and the ESG literature to suggest a research model and identify the factors that act as the catalysts achieving sustainability. The data used for the analysis were collected from 78 firms listed on the Korea Exchange (KRX) with assets totaling more than 2 trillion Korean won. In this study, the partial least squares structural equation model (PLS-SEM) is applied. We found that absorptive capability and adaptive capability significantly affect sustainable management performance through implementation of the ESG strategy as a mediating variable. In particular, a firm’s implementation of an ESG strategy is a significant determinant that impacts sustainable management performance. We also believe our model contributes to the current knowledge by filling several research gaps, and our findings offer valuable and practical implications not only for achieving sustainable growth but also for creation of competitive advantage.
Comparing Calibration Algorithms for the Rapid Characterization of Pretreated Corn Stover Using Near-Infrared Spectroscopy

Rapid characterization of biomass composition is a key enabling technology for biorefineries—the ability to measure the chemical composition of biomass materials entering the biorefinery as well as the composition of key process intermediate streams would allow real-time process control and the development of robust models to predict process performance. The utility of near-infrared (NIR) spectroscopy for rapid characterization requires multivariate algorithms for building calibration models. The most prevalent algorithm used for building calibration models using NIR spectra is the linear modeling algorithm Partial Least Squares Regression (PLS). Nonlinear regression algorithms (which are typically more computationally intensive than linear modeling approaches) have gained popularity in recent years due to their ability to solve a wide variety of classification and regression problems and the dramatic increase in available computational resources. In this work, we demonstrate that a calibration model can predict the composition of corn stover process intermediate samples pretreated with three different treatments—hot water (HW), dilute acid (DA), and deacetylation followed by dilute acid (DDA). We quantitatively compare three different algorithms for building prediction models based on near-infrared spectroscopy—partial least squares (PLS), support vector machines (SVM), and random forests (RF). We demonstrate the utility of improving model performance by accounting for instrument performance variability using repeated measurements of standard materials (e.g., the “repeatability file” strategy) and investigate its performance with nonlinear regression techniques, and we discuss methods for quantifying the uncertainties of specific predictions among the three methods.
Fibroblast-Induced Paradoxical PI3K Pathway Activation in PTEN-Competent Colorectal Cancer: Implications for Therapeutic PI3K/mTOR Inhibition

Purpose Tumor-microenvironment interactions are important determinants of drug resistance in colorectal cancer (CRC). We, therefore, set out to understand how interactions between genetically characterized CRC cells and stromal fibroblasts might influence response to molecularly targeted inhibitors. Techniques Sensitivity to PI3K/AKT/mTOR pathway inhibitors of CRC cell lines, with known genetic background, was investigated under different culture conditions [serum-free medium, fibroblasts’ conditioned medium (CM), direct co-culture]. Molecular pathway activation was monitored using Western Blot analysis. Immunoprecipitation was used to detect specific mTOR complex activation. Immunofluorescence was used to analyze cellular PTEN distribution, while different mutant PTEN plasmids were used to map the observed function to specific PTEN protein domains. Results Exposure to fibroblast-CM resulted in increased growth-inhibitory response to double PI3K/mTOR inhibitors in PTEN-competent CRC cell lines harboring KRAS and PI3K mutations. Such functional effect was attributable to fibroblast-CM induced paradoxical PI3K/mTORC1 pathway activation, occurring in the presence of a functional PTEN protein. At a molecular level, fibroblast-CM induced C-tail phosphorylation and cytoplasmic redistribution of the PTEN protein, thereby impairing its lipid phosphatase function and favored the formation of active, RAPTOR-containing, mTORC1 complexes. However, PTEN’s lipid phosphatase function appeared to be dispensable, while complex protein-protein interactions, also involving PTEN/mTOR co-localization and subcellular distribution, were crucial for both mTORC1 activation and sensitivity to double PI3K/mTOR inhibitors. Data Interpretation Microenvironmental cues, in particular soluble factors produced by stromal fibroblasts, profoundly influence PI3K pathway signaling and functional response to specific inhibitors in CRC cells, depending on their mutational background and PTEN status.