Miracle-dz/UniFAR-FTUs huggingface dataset:
TRAFFIC CONTROL SYSTEM OPTIMISATION: A MULTIOBJECTIVE APPROACH

Abstract The increasing awareness of the importance of the wider objectives of traffic management and control has led to the work described in this paper. The aim of the study is to develop a flexible signal controller which may be configured so that it embodies the objectives appropriate for the situation in which it is to be used. This paper describes the optimisation of a prototype fuzzy logic signal controller with respect to several criteria simultaneously. Having demonstrated the controller's sensitivity to changes in its parameters, a multiobjective genetic algorithm (MOGA) optimisation technique is used to derive a family of solutions, each of which is optimal with respect to at least one of the criteria, whilst minimising the trade-off with respect to the other criteria.
Key Feature Identification for Monitoring Wafer-to-Wafer Variation in Semiconductor Manufacturing

To monitor process and identify the deviation as early as possible, data-driven methods have been applied for process monitoring and fault detection in semiconductor manufacturing. Although various fault detection and classification models had been discussed in the literature, however, little research has been devoted to feature selection from trace data that is important for process monitoring of natural variation. Additionally, the high-mix production mode with different recipes leads to process dynamic of wafer-to-wafer (W2W) variation which should also be identified for safeguarding false alarms and serving as a warning indicator. Therefore, this paper proposes a data-driven framework to identify the key features with respect to the W2W variation. In particular, the self-organizing map is used to annotate the grade of wafer variation among the in-line metrology data. Subsequently, the adaptive boosting (AdaBoost) is adopted to examine the effectiveness of every feature and its processing times, respectively. To validate the proposed framework, an empirical study from a semiconductor fabrication plant is conducted. The experimental results demonstrate that the key feature identification is of critical importance to build highly capable models for process monitoring. Through the dimensionality reduction technique, it has been illustrated that a smaller set of the identified key features are able to pinpoint the W2W variation of different wafer grades more clearly than the whole set of process features. Note to Practitioners— Process monitoring has become more difficult with the shrinking linewidth in semiconductor manufacturing. The challenges of analyzing equipment sensor or raw trace data for process monitoring in high-mix manufacturing processes are to incorporate subject-matter expert knowledge for setting control limit meticulously, to detect the subtle changes by analyzing the whole trace data profile, and to identify W2W variation for reducing false alarms. This paper proposes a data-driven framework for process monitoring by adopting data-driven approaches without recourse to domain judgement. Experimental results demonstrate that the proposed data-driven framework can effectively identify the key features via sensor readings and corresponding processing times, respectively. The engineers can make use of the extracted features to perform a predictive monitoring on metrology data for detection of potential process deterioration.
Cooperative Spectrum Sensing Based on Multi-Features Combination Network in Cognitive Radio Network

Cognitive radio, as a key technology to improve the utilization of radio spectrum, acquired much attention. Moreover, spectrum sensing has an irreplaceable position in the field of cognitive radio and was widely studied. The convolutional neural networks (CNNs) and the gate recurrent unit (GRU) are complementary in their modelling capabilities. In this paper, we introduce a CNN-GRU network to obtain the local information for single-node spectrum sensing, in which CNN is used to extract spatial feature and GRU is used to extract the temporal feature. Then, the combination network receives the features extracted by the CNN-GRU network to achieve multifeatures combination and obtains the final cooperation result. The cooperative spectrum sensing scheme based on Multifeatures Combination Network enhances the sensing reliability by fusing the local information from different sensing nodes. To accommodate the detection of multiple types of signals, we generated 8 kinds of modulation types to train the model. Theoretical analysis and simulation results show that the cooperative spectrum sensing algorithm proposed in this paper improved detection performance with no prior knowledge about the information of primary user or channel state. Our proposed method achieved competitive performance under the condition of large dynamic signal-to-noise ratio.
Pilot exploration of gender inclusivity of engineering students’ exposure to engineering practice in an Australian university

Abstract To society’s detriment, women remain under-represented among engineering students and practicing engineers in Australia. Many studies have shown that engineering workplaces have features that are not gender inclusive. Efforts to improve engineering education by increasing industry engagement might therefore also result in non-inclusive student experiences, with potentially detrimental outcomes. This study reports on a pilot investigation of the gender inclusivity of industry engagement by student engineers. We explored experiences of exposure to engineering practice by students who were studying at an urban Australian university. The study used the framework of possible selves, which examines the factors that motivate people to achieve or avoid possible future selves [Markus, H. , and P. Nurius. 1986. “Possible Selves. ” American Psychologist 41: 954–969. ]. Through interviews with four female and two male engineering students, we discovered gendered encounters experienced by students and the impacts these had on their perception of their future and their current directions. The female students reported marginalising gendered encounters similar to those reported by female engineers in other studies. The pilot highlights the need for further investigation.
Emotional Suppression and Psychological Well-Being in Marriage: The Role of Regulatory Focus and Spousal Behavior

Emotional suppression has been considered a critical factor in determining one’s mental health and psychological well-being in intimate relationships such as marriage. The present study aimed to delineate the nuanced association between emotional suppression and psychological well-being in marriage by considering two critical factors: (a) individual differences in motivational orientation and (b) the perceived level of a partner’s emotional suppression. A set of two online survey studies were conducted on a large sample of married participants. The participants were asked to indicate (a) their own level of emotional suppression, (b) the perceived level of their spouse’s emotional suppression, (c) relationship motivation, and (d) satisfaction with marital life. The results consistently indicated that for prevention-focused individuals being emotionally suppressive was associated with greater marital satisfaction, but only for those who perceived their spouses as also emotionally suppressive. Conversely, for promotion-focused individuals, being less emotionally suppressive was associated with greater marital satisfaction, but again, only for those who perceived their spouses as also being less emotionally suppressive. These findings provide insights into research on emotion regulation and self-regulatory strategies in influencing psychological well-being and mental health in an intimate relationship.
Tandonia kusceri (Pulmonata: Milacidae), a slug new for Slovakia

Tandonia kusceri (Wagner, 1931) is reported from Slovakia for the first time. The slug was found in the Ružinov and Petržalka housing estates, Bratislava, in 2014 and 2015, respectively. Our observations suggest that the species is well established in the Slovak capital. This finding calls for verification of some of the older reports of a similar species Tandonia rustica beyond the eastern border of its native range. Owing to unresolved taxonomic issues, the name T. kusceri should be applied only tentatively.
Optimization of crystal violet adsorption on common lilac tree leaf powder as natural adsorbent material

In this study the efficiency of crystal violet dye removal from aqueous solutions using lilac tree leaf powder as adsorbent material was tested. After adsorbent surface analysis by SEM and FTIR technics, the influence of six controllable factor on dye adsorption process was assesses using a L27 Taguchi experimental design. The optimum adsorption conditions and the controllable factors significance were established by evaluation of signal-to-noise ratio (S/N). ANOVA analysis revealed the percentage contribution of each factor in crystal violet removal. Langmuir isotherm and pseudo-second order kinetic model characterized the process and the maximum adsorption capacity was higher than other similar adsorbents previously used in literature. The thermodynamic parameters reveal a favorable, spontaneous and endothermic adsorption based on physisorption mechanism.
Impact of Plant Growth Regulators to Development of the Second Generation Energy Crop Miscanthus × giganteus Produced Two Years in Marginal Post-Military Soil

The impact of the plant growth regulators (PGRs) Stimpo, Regoplant, and Charkor on the production of the second-generation energy crop Miscanthus × giganteus on marginal post-military soil was investigated during two vegetation seasons. The land, previously a tank training polygon, has not been in use since 1990 and has become marginal. Biological parameters (stem, shoot, and root lengths) and dry biomass values were evaluated in relation to the applied treatments. The multivariate general linear model (M-GLM) results showed a positive influence of Charkor on M. × giganteus development; the effect was markedly higher in the second year of vegetation. The impact of Stimpo and Regoplant was less noticeable; nevertheless, certain combinations of treatments showed satisfactory results. The M-GLM approach detected the inter-influence of the main factors of the production process, i.e., PGRs, soil, and year of growing. The results showed the predominant influence of year, PGRs and combined factor PGRs × year on the biological parameters; the other studied factors and their combinations were not as effective. Further research should focus on verifying the field-scale results for the M. × giganteus plantation established in a post-military area and compare the lab and field studies.
The commercial viability of Mobility-as-a-Service (MaaS): what’s in it for existing transport operators, and why should governments intervene?

ABSTRACT Mobility-as-a-Service (MaaS) offers consumers access to multiple transport modes and services, owned and/or operated by different mobility service providers, through an integrated digital platform for planning, booking and payment. The platform provider needs to negotiate independent deals with different transport operators. Consequently, the success of any MaaS platform will depend on the platform provider’s ability to persuade as many operators as possible to join their platform. This study examines the commercial value proposition of MaaS from the perspective of existing transport operators. We find that MaaS could help strengthen complementary relationships between services, offer operators access to newer customers and larger markets, and help them manage their assets more efficiently. However, integration with substitutive services could undermine operators’ profitability. Moreover, similar benefits could be realised through other information and communication technologies without requiring integration with other services. Consequently, if left to the market, integration between operators is likely to be piecemeal and ad-hoc, and may strengthen monopolistic power of some operators. This, alongside the opportunities that MaaS presents to help achieve broader societal goals, calls for an active role for governments in the development, operation and regulation of MaaS to deliver on the vision of a fully integrated transport system.
Antecedents of Idea Management Capability: An Empirical Investigation of Idea Management Systems

Idea management systems (IMS), or the tools aimed at collecting contributions for both internal improvements and new products and services, are an emerging area of interest to operations management. Yet little is known about the best practices to manage ideas in organizations. In this study we empirically examine how the idea management (IM) best practices of collaborative work environment (CWE), employees' participation (EP), communications networks (CN) and external sources of ideas (ESI) affect a firm’s capability for managing new ideas and, ultimately, its propensity to innovate (P2I). Additionally, we develop multi-item measurement scales that have sufficient psychometric properties of validity and reliability to be useful for theory building and testing in this area. We use structural equations modeling (SEM) and a sample of 120 companies that have IMS to empirically test the hypothesized model. We have found that IM best practices can be conceptualized by four dimensions: CWE, EP, CN and ESI, which are key antecedents of IMC. In turn, IMC has a positive impact on P2I. In other words, the analysis of a sample of 120 companies has confirmed that the proposed organizational routines have an impact on the capability to manage ideas, which in turn has an impact on the propensity to develop innovative products and services and enhance existing ones. The metrics we propose in this work are a useful benchmarking tool for practitioners to monitor and improve their business’s idea management practices. To the best of our knowledge, we are the first to operationally define and measure IM best practices in the context of services firms.
Multi-directionally evaluating the formation mechanism of 1,4-dihydropyridine drug nanosuspensions through experimental validation and computer-aided drug design

Abstract The poor aqueous solubility of 1,4-dihydropyridine drugs needs to be solved urgently to improve bioavailability. Nanotechnology can improve drug solubility and dissolution by reducing particle size, but usually, a specific polymer or surfactant is required for stabilization. In this study, Poloxamer-407(P-407) was screened as the optimal stabilize through energy simulation, molecular docking, and particle size. the morphological study, X-ray diffraction, differential scanning calorimetry, Fourier transform infrared spectroscopy, Raman, in vitro dissolution test, and molecular simulation of interactions were utilized to explore the formation mechanisms of four 1,4-dihydropyridine drugs/P-407 nanosuspensions. The result shows that the optimized nanosuspensions had the particle size in the nano-size range and maintained the original crystal state. The in vitro dissolution rate of the nanosuspension was 3-4 times higher than the corresponding API and could reduce the restriction of drug dissolution in different pH environments. Raman spectroscopy, FTIR, and molecular docking simulations provided strong supporting evidence for the formation mechanism of 1,4-dihydropyridine drugs/P-407 nanosuspensions at the molecular level, which confirmed that the stable intermolecular hydrogen bond adsorption and hydrophobic interaction were formed between the drug and P-407. This research will provide practical concepts and technologies, which are helpful to develop nanosuspensions for the same class of drugs.
Finite Blocklength NOMA on SWIPT-Enabled Energy Harvesting Relay with Hardware Impairments

In this paper, a cooperative nonorthogonal multiple access (NOMA) system transmitting finite blocklength data packets over Rayleigh and Rician fading channels is considered. The decode-and-forward (DF) relay is utilized which can harvest energy from the received signal depending on simultaneous wire-less information and power transfer (SWIPT). Taking practical residual hardware impairments (RHIs) into account, we obtained the analytical expressions on the end-to-end average block error rate (BLER) at all users and throughput of the considered system. Finally, simulation results are provided to verify the correctness of derived analytical expression.
Query Processing on Heterogeneous CPU/GPU Systems

Due to their high computational power and internal memory bandwidth, graphic processing units (GPUs) have been extensively studied by the database systems research community. A heterogeneous query processing system that employs CPUs and GPUs at the same time has to solve many challenges, including how to distribute the workload on processors with different capabilities; how to overcome the data transfer bottleneck; and how to support implementations for multiple processors efficiently. In this survey we devise a classification scheme to categorize techniques developed to address these challenges. Based on this scheme, we categorize query processing systems on heterogeneous CPU/GPU systems and identify open research problems.
Experimental Evidence of Intrinsic Disorder and Amyloid Formation by the Henipavirus W Proteins

Henipaviruses are severe human pathogens within the Paramyxoviridae family. Beyond the P protein, the Henipavirus P gene also encodes the V and W proteins which share with P their N-terminal, intrinsically disordered domain (NTD) and possess a unique C-terminal domain. Henipavirus W proteins antagonize interferon (IFN) signaling through NTD-mediated binding to STAT1 and STAT4, and prevent type I IFN expression and production of chemokines. Structural and molecular information on Henipavirus W proteins is lacking. By combining various bioinformatic approaches, we herein show that the Henipaviruses W proteins are predicted to be prevalently disordered and yet to contain short order-prone segments. Using limited proteolysis, differential scanning fluorimetry, analytical size exclusion chromatography, far-UV circular dichroism and small-angle X-ray scattering, we experimentally confirmed their overall disordered nature. In addition, using Congo red and Thioflavin T binding assays and negative-staining transmission electron microscopy, we show that the W proteins phase separate to form amyloid-like fibrils. The present study provides an additional example, among the few reported so far, of a viral protein forming amyloid-like fibrils, therefore significantly contributing to enlarge our currently limited knowledge of viral amyloids. In light of the critical role of the Henipavirus W proteins in evading the host innate immune response and of the functional role of phase separation in biology, these studies provide a conceptual asset to further investigate the functional impact of the phase separation abilities of the W proteins.
What Happened in ‘The HERizon Project’?—Process Evaluation of a Multi-Arm Remote Physical Activity Intervention for Adolescent Girls

This mixed-methods process evaluation examines the reach, recruitment, fidelity, adherence, acceptability, mechanisms of impact, and context of remote 12-week physical activity (PA) interventions for adolescent girls named The HERizon Project. The study was comprised of four arms—a PA programme group, a behaviour change support group, a combined group, and a comparison group. Data sources included intervention deliverer and participant logbooks (100 and 71% respective response rates, respectively), exit surveys (72% response rate), and semi-structured focus groups/interviews conducted with a random subsample of participants from each of the intervention arms (n = 34). All intervention deliverers received standardised training and successfully completed pre-intervention competency tasks. Based on self-report logs, 99% of mentors adhered to the call guide, and 100% of calls and live workouts were offered. Participant adherence and intervention receipt were also high for all intervention arms. Participants were generally satisfied with the intervention components; however, improvements were recommended for the online social media community within the PA programme and combined intervention arms. Autonomy, sense of accomplishment, accountability, and routine were identified as factors facilitating participant willingness to adhere to the intervention across all intervention arms. Future remote interventions should consider structured group facilitation to encourage a genuine sense of community among participants.
Black Fungi Research: Out-of-This-World Implications

Black fungi are an ecological group of melanized fungi specialized in extremotolerance and assumed to be among the most stress-resistant eukaryotes on Earth. Multi-omics studies have provided significant evidence that they have a peculiar response to stress that differs considerably from that of common mesophilic hyphomycetes. Survival strategies displayed by these organisms have situated them as attractive models for astrobiology and, in general, for studies directed towards the definition of the actual limits for life. Moreover, the ascertained aptitude of black fungi for degradation of hazardous volatile pollutants and for plastic breakdown suggests prospective application of several species.
Astaxanthin improves the shelf-life of tilapia fillets stored under refrigeration.

BACKGROUND Astaxanthin, classified as a xanthophyll, has antioxidant properties about 500 times greater than α-tocopherols and 10 times greater than β-carotenes. Based on the antioxidant activity of this carotenoid, this study aimed to evaluate the shelf-life of tilapia fillets (Oreochromis niloticus) fed with astaxanthin, by determining the microbiological quality (colimetry, counts of mesophilic and psychrotrophic microorganisms), physicochemical analyzes (colorimetry, pH, TBARs) and sensory analysis. RESULTS Tilapia supplemented with astaxanthin presented reduction in the counts of microorganisms (mesophiles and psychrotrophics) and lower lipid oxidation index (TBARs), when compared to fillets of control fish. Colorimetric changes of fillet degradation were observed, associated with increased pH during storage, as well as loss of brightness and texture in addition to worsening in appearance and odor. These deteriorating changes were minimized using astaxanthin. CONCLUSION Our results demonstrate the beneficial performance of astaxanthin in the shelf-life of tilapia fillets stored under refrigeration. Therefore, dietary supplementation with astaxanthin (100 and 200mg kg-1 of feed) improves the microbiological and physicochemical quality of tilapia fillets during 50 days of shelf-life. This article is protected by copyright. All rights reserved.
Electronic Structure of Monolayer FeSe on Si(001) from First Principles

The huge increase in the superconducting transition temperature of FeSe induced by an interface to SrTiO3 remains unexplained to date. However, there are numerous indications of the critical importance of specific features of the FeSe band topology in the vicinity of the Fermi surface. Here, we explore how the electronic structure of FeSe changes when located on another lattice matched substrate, namely a Si(001) surface, by first-principles calculations based on the density functional theory. We study non-magnetic (NM) and checkerboard anti-ferromagnetic (AFM) magnetic orders in FeSe and determine which interface arrangement is preferred. Our calculations reveal interesting effects of Si proximity on the FeSe band structure. Bands corresponding to hole pockets at the Γ point in NM FeSe are generally pushed down below the Fermi level, except for one band responsible for a small remaining hole pocket. Bands forming electron pockets centered at the M point of the Brillouin zone become less dispersive, and one of them is strongly hybridized with Si. We explain these changes by a redistribution of electrons between different Fe 3d orbitals rather than charge transfer to/from Si, and we also notice an associated loss of degeneracy between dxz and dyz orbitals.