Miracle-dz/UniFAR-FTUs huggingface dataset:
Relationship among paleosol types, depositional settings, and paleoclimates in Tetori group (Lower Cretaceous, central Japan)

One of the key areas and periods for dinosaur evolution is considered to be Early Cretaceous East Asia, of which paleoclimate, that affected dinosaur diversity, needs to be accurately estimated. This study reconstructed paleoenvironmental information from two paleosol sections of the Lower Cretaceous Tetori Group in Hokuriku province, Japan. Elemental and isotopic compositions indicate that the two sections (Sections K5 and T1) formed under similar mean annual temperature (MAT) and mean annual precipitation (MAP) but exhibit significantly different paleosol colors (red in the Section K5, and gray in the Section T1) and mineralogy of carbonate nodules (dolomite–siderite in the Section K5, and dolomite–calcite in the Section T1). In addition, the oxygen isotopic ratio of carbonate minerals in the Section K5 was significantly low. The differences in sedimentary features and isotopic composition were considered to reflect the differences of seasonal climatic factors (e.g., monsoon) and local settings (e.g., drainage condition) despite the two sections exhibiting similar MAT and MAP. The results of this study suggest that the northeastern margin of East Asia, where the Tetori Group was deposited, had temperate and humid climate with monsoonal contrast in humidity during Aptian to Albian.
Development of a forecast-oriented kilometre-resolution ocean–atmosphere coupled system for western Europe and sensitivity study for a severe weather situation

Abstract. To improve high-resolution numerical environmental prediction, it is essential to represent ocean–atmosphere interactions properly, which is not the case in current operational regional forecasting systems used in western Europe. The objective of this paper is to present a new forecast-oriented coupled ocean–atmosphere system. This system uses the state-of-the-art numerical models AROME (cy43t2) and NEMO (v3.6) with a horizontal resolution of 2.5 km. The OASIS coupler (OASIS3MCT-4.0), implemented in the SurfEX surface scheme and in NEMO, is used to perform the communications between models. A sensitivity study of this system is carried out using 7 d simulations from 12 to 19 October 2018, characterized by extreme weather events (storms and heavy precipitation) in the area of interest. Comparisons with in situ and L3 satellite observations show that the fully coupled simulation reproduces the spatial and temporal evolution of the sea surface temperature and 10 m wind speed quantitatively well. Sensitivity analysis of ocean–atmosphere coupling shows that the use of an interactive and high-resolution sea surface temperature (SST), in contrast to actual numerical weather prediction (NWP) where SST is constant, modifies the atmospheric circulation and the location of heavy precipitation. Simulated oceanic fields show a large sensitivity to coupling when compared to the operational ocean forecast. The comparison to two distinct forced ocean simulations highlights that this sensitivity is mainly controlled by the change in the atmospheric model used to drive NEMO (AROME vs. IFS operational forecast), and less by the interactive air–sea exchanges. In particular, the oceanic boundary layer depths can vary by more than 40 % locally, between the two ocean-only experiments. This impact is amplified by the interactive coupling and is attributed to positive feedback between sea surface cooling and evaporation.
Biochemical and Molecular Characterization of Klebsiella species isolated from neoplastic patients under Irradiation therapy

Neoplastic radiation therapy was able to alter the microbial flora of patients' bodies, as well as the microbial flora of radiation-exposed workers, and provided control for possible infectious consequences. Klebsiella aerogenes was a non-fermentative aerobic gram negative bacteria that was widely distributed in nature, requiring species identification in up to 25% of cases in the lab. Antibiotic susceptibility of Klebsiella species multi-resistant isolates is common, and all isolates were characterized in all cases of clinically significant infections caused by these organisms. Only 15 isolates showed significant antimicrobial activities against at least one of the tested indicator bacteria. Vancomycin is an anti-Klebsiella species antibiotic to which resistance is rarely seen, their use should be reserved for the treatment of species infections resistant to all other antibiotics, the emergence of widespread antibiotic-resistant bacteria enhanced the need for new sources of antimicrobial agents, and isolate SHM4-1 was active against all of them, with IC60 values of 3.3 and 1.1 g/ml against HCT-116 and HepG-2 cell lines, respectively. It was genotypically identified as a species with the PKS 4 biosynthetic gene cluster present. To enhance the production, mannitol, ammonium sulphate, pH 7, 2% inoculum size, and 2 days at 37°C were utilized.
Fault-tolerant consensus of nonlinear agents considering switching topology in the presence of communication noise

In this paper, the consensus of nonlinear multi-agent systems (MASs) is discussed, considering actuator fault and switching topology in the presence of communication noise. The actuator fault and communication noise are both considered to be random. The switching of the topologies is considered random as well. These issues are handled by Distributed Nonlinear Dynamic Inversion (DNDI), which is designed for Multi-Agent Systems (MASs) operation. The convergence proof with actuator fault is provided, which shows the robustness of the controller. The simulation results show that DNDI successfully dealt with the actuator fault and communication events simultaneously.
Latecomer firms and pursuit of a dual frontier : the case of Korean handset manufacturers

The subject of this thesis is a group of emergent leading firms in developing countries pursuing a ‘dual frontier’, achieving technology supremacy and establishing market autonomy, and entering a newly emerging market in the context of the latter half of the 20th century. Whilst the previous literature on catching-up and transition generally centres on the area of technological development of latecomer firms, this thesis extends the scope of analysis to a broader issue of technological development and marketing strategies of latecomer firms in transition. The thesis builds upon two different streams of literature: first the catching-up process in latecomer firms for the theoretical and empirical rationales, and second the boundaries of a firm and inter-firm coordination in technological frontier firms for the theoretical guidance to a systematic analysis. Using industry case studies of the Korean mobile handset manufacturers Samsung and LG Electronics, the thesis first shows that there could be windows of opportunity available for international technology transfer to emergent leading firms in the emerging stage of a new industry from competition to achieve a dominant compatibility standard among technology leaders. However, the research stresses that the characteristic of these technologies is cutting-edge but technologically incomplete and commercially unproven, which highlights the importance of previous experience and capacity for successful commercialisation. Moreover, the thesis shows that Korean firms pursuing a dual frontier overcame their uneven development between technological and marketing capabilities through intensive inter-firm collaborations with intermediary users, that is Mobile Network Operators (MNOs). In the thesis, it is stressed that Korean firms competed against technology leaders like Nokia in export markets by complementing weak marketing capabilities based on continuous collaborations with MNOs, evolving from von Hippelian to Teecean inter-firm relationships. Lastly, the thesis introduces to the literature on industry organisation a new form of an outsourcing organisation, termed a ‘contract developer’ (CD), which has been identified as a group of firms that is unilaterally specialised in, and that carries out development outsourcing projects for, mobile handset Own Brand Manufacturers (OBMs). The thesis reveals that CDs emerged from the industry shake-out and the co-specialised structure between mobile handset OBMs and MNOs in the industry and served as one of main mechanisms that supported the successful globalisation of the Korean firms. Therefore, the thesis argues that the key strategy that Korean emergent leading firms adopted to compete at the world frontier can be described as a ‘quasi’ extension of firm boundaries in terms of development resources (the CDs) and in terms of downstream capabilities (the MNOs).
'EBL for EBL : Enquiry Based Learning for an End to Boring Language Learning

In French Studies, an EBL project was designed by the discipline’s three Teaching Fellows to run within our first-year core language module in an attempt to address the twofold problem of students finding independent language work boring and thus not engaging in it, and tutors finding students’ work inaccurate yet not having enough class-time to address their deficiencies! The project concentrated on two key areas of language learning: phonetics and grammar. A separate project was developed for each area with different levels of colleague and student involvement: the full teaching team and student cohort in phonetics; a small volunteer group working with the Teaching Fellows in grammar. Evaluation of the project through feedback questionnaires shows convincingly that students feel more engaged in their own learning process through the EBL approach and benefit enormously from their experience of team-working and acquisition of other transferable skills. Some ambiguities remain concerning the extent of linguistic improvement, but the overall outcome is highly positive and it is hoped that, notwithstanding certain practical difficulties, EBL can be implemented on a wider scale in French Studies in the future.
Sucre4Stem: Collaborative Projects Based on IoT Devices for Students in Secondary and Pre-University Education

This paper describes a new technological evolution of the <italic>Sucre</italic> project, which aims to foster a vocation for science and develop computational thinking and programming skills in pre-university students. This improved version is called <italic>Sucre4Stem</italic> and has been designed from the Internet of Things perspective. At a technological level, we differentiate two main tools, <italic>SucreCore</italic> and<italic>SucreCode</italic>. <italic>SucreCore</italic> provides a new, more compact design, encapsulates an advanced microcontroller and supports wireless connectivity with the ability to create online variables and functions. <italic>SucreCode</italic>, the block-based visual programming tool, has a revamped interface and allows wireless communication with <italic>SucreCore</italic>. At the pedagogical level, Sucre4Stem makes it easier to implement new group dynamics and to create novel types of collaborative projects between groups of students. In this article, we also explore how these collaborative projects can be carried out by taking advantage of the different types of communications between <italic>SucreCore</italic> and the server-side platform using shared online variables and functions.
Moisture content estimation and senescence phenotyping of novel Miscanthus hybrids combining UAV‐based remote sensing and machine learning

Miscanthus is a leading perennial biomass crop that can produce high yields on marginal lands. Moisture content is a highly relevant biomass quality trait with multiple impacts on efficiencies of harvest, transport, and storage. The dynamics of moisture content during senescence and overwinter ripening are determined by genotype × environment interactions. In this paper, unmanned aerial vehicle (UAV)‐based remote sensing was used for high‐throughput plant phenotyping (HTPP) of the moisture content dynamics during autumn and winter senescence of 14 contrasting hybrid types (progeny of M. sinensis x M. sinensis [M. sin x M. sin, eight types] and M. sinensis x M. sacchariflorus [M. sin x M. sac, six types]). The time series of moisture content was estimated using machine learning (ML) models and a range of vegetation indices (VIs) derived from UAV‐based remote sensing. The most important VIs for moisture content estimation were selected by the recursive feature elimination (RFE) algorithm and were BNDVI, GDVI, and PSRI. The ML model transferability was high only when the moisture content was above 30%. The best ML model accuracy was achieved by combining VIs and categorical variables (5.6% of RMSE). This model was used for phenotyping senescence dynamics and identifying the stay‐green (SG) trait of Miscanthus hybrids using the generalized additive model (GAM). Combining ML and GAM modeling, applied to time series of moisture content values estimated from VIs derived from multiple UAV flights, proved to be a powerful tool for HTPP.
The Analysis of the Radius Impact on the Properties of Cylindrical Antenna with Coaxial Feed

The article presents analysis of conformal multilayer antenna and array antenna with coaxial feed. The antenna has the shape of the cylinder with a radius R. It was examined an efiect of change radius R on the basic operating parameters of the antenna. For the selected frequency range (5031{5090.6MHz) there was designed planar and cylindrical microstrip antenna and antenna array with coaxial feed. For conformal surface radius length was varied in the range 0.2{160‚. The full-wave analysis of antennas numerical parameters was carried out in CST Studio Suite. The analysis of the tested antenna has been focused on the determination of the impact of the R-radius of the side surface of the cylinder, on which the conformal antenna have been installed, on the basic operating parameters of the antenna.
Tomographic Imaging of the Plate Geometry Beneath the Arunachal Himalaya and Burmese Subduction Zones

We present 3‐D P and S‐wave velocity perturbation maps of the upper‐mantle beneath eastern Himalaya and Burmese subduction zones at 2° × 2° lateral resolution, using teleseismic travel‐time tomography. Collated waveforms of 5,727 teleseismic earthquakes recorded at 273 seismic stations generated an accurate data set of 86,570 P‐arrival and 85,227 S‐arrival times using multichannel cross‐correlation. Tomograms enabled imaging of the structural features down to 1,000 km depth. The subducting Indian lithospheric plate extends up to Bangong‐Nujiang Suture Zone, overturns and descends steeply beyond 200 km below the Himalayan arc. A southward plunging detached slab can be traced beyond 600 km. Results reveal no evidence for the detachment of a S‐E deflecting Indian lithospheric slab below the Burmese arc. The geometry of the slab mimics regional seismicity (up to 200 km) followed by a deeper aseismic zone related to petrological changes. No gaps are seen between the northward and eastward subducting Indian plate, hence confining the eastward escape of Tibetan‐lithospheric material between the Eastern Himalayan Syntaxis and Sichuan Basin.
REDUCING THE COMMUNICATION COSTS OF A REMOTE MONITORING AND MAINTENANCE SYSTEM FOR AN ENERGY SERVICES COMPANY (ESCo)

Demand-Side Management (DSM) initiatives can result in substantial electricity cost reductions. Energy Service Companies (ESCos) typically perform remote monitoring and maintenance to ensure sustained performance of these DSM initiatives. Mobile network service providers offer the flexibility required to allow an ESCo to monitor DSM initiative that are widely distributed across South Africa. Mismanagement of the communication infrastructure and the potential for excessive data usage threatens the financial feasibility of remote DSM maintenance. Software was developed to promote improved management of this communication infrastructure, and to monitor the accessibility, data usage and other communication vitals automatically and remotely. Optimal management of the communication infrastructure ensures the lowest possible base cost, while prediction based on data usage information allows for predictive maintenance in order to avoid or reduce excessive data costs. This paper presents the process of reducing the communication cost of an ESCo that actively monitors and maintains more than forty DSM initiatives. Improved asset management and automated monitoring resulted in a 73% reduction in the monthly communication costs.
Investigation into the advancement of FACTS and their implementation impact on a utility

The main objective of this paper is to investigate the advancement of the FACTS, both in the technology development and applications. The paper will survey different FACTS devices available, review and compare their different applications in power systems. It will investigate the ability of FACTS to improve power transfer and voltage control will be reviewed in light of different types of compensation, series, shunt at midpoints, single or multi-function etc. FACTS definite impacts on a utility network with anticipated advantages and disadvantages will be explored. (6 pages)
A Comparative Study of Artificial Neural Network Approach for Autonomous Robot’s TTC Prediction

—In this study, the focus is on close proximity Time-to-Collision (TTC) prediction from an Autonomous Robot (AR)’s perception system, which is built with an X-band Doppler radar for relative speed estimation and infrared proximity sensors for direction and distance sensing from a moving obstacle. To compensate for the possibility of poor ranging performance, an Artificial Neural Network (ANN) approach is introduced to enhance prediction accuracy. A comparative performance analysis against conventional and Linear Regression (LR) methods was also conducted and results demonstrated that the predicted TTC with the ANN model trained with the Levenberg-Marquardt algorithm successfully reduced the average error to 0.155s, which was a considerable 50% reduction from the conventional method.
A Randomized Controlled Trial of a Parent Management Training Program for Incarcerated Parents: Post-Release Outcomes

The majority of incarcerated adults are parents. While in prison, most parents maintain at least some contact with their families. A positive connection with family during imprisonment is hypothesized to improve long-term success after release. One way in which departments of corrections attempt to facilitate positive connections with family is through prison-based parenting programs. One such program, developed in collaboration with the Oregon Department of Corrections, is the cognitive-behavioral parent management training program Parenting Inside Out (PIO). Outcomes due to PIO were examined within the context of a randomized controlled trial. Incarcerated parents from all correctional facilities in the state of Oregon were recruited to participate, and eligible parents who consented (N = 359) were transferred to participating releasing institutions. After initial assessment, parents were randomized to condition (i.e., PIO “intervention” condition or services-as-usual “control” condition) and then followed through the remainder of their prison sentences and to one year after release. Intervention condition participants were offered PIO prior to their release. Outcomes favoring participants in the intervention condition were found in areas of importance to parents and their children and families and to public health and safety at large, including a decreased likelihood of problems related to substance use and of engaging in criminal behavior during the first six months following release as well as a decreased likelihood of being arrested by police during the first year following release. The implications of the findings are discussed, including the critical need for scientifically rigorous research on multi-component parenting programs delivered during the reentry period.
A Practical Data-Driven Battery State-of-Health Estimation for Electric Vehicles

In this article, to estimate the battery state of health (SOH) under realistic electric vehicle (EV) conditions, a robust and efficient data-driven algorithm is developed and validated through comprehensive battery life testing. More than 50 state-of-the-art EV battery cells have been tested under a variety of cycling conditions with different charging protocols, dynamic driving cycles, voltage ranges, pulse rates, and temperatures. Some of the cells have also been tested under a combination of cycling and storage conditions, constant current and multistep charging, and a periodic temperature variation that mimics real life conditions. Only partial data (voltage, current, and temperature) within a narrow state-of-charge range under a dynamic driving condition are required to extract the health indicators. A neural network is trained to find the mapping between the health features and the battery SOH. The life test data are divided into three groups. The first dataset (≈55% of data) is used for training and initial validation and testing, whereas the second and third datasets (≈45% of data) are entirely used for the final validation and testing to minimize the network overfitting. The results show that the SOH estimation root-mean-squared error for all datasets is less than 0.9%, signifying the fidelity and reliability of the proposed method.
Effect of Non-Linear Thermal Radiation and Partial slip on Unsteady MHD Flow of a Nanofluid Past a Permeable Stretching Sheet through a Porous Medium with Suction/Injection, convective Heat Transfer

We discuss the effect of non-linear thermal radiation on the boundary layer flow of a thermophoretic magnetohydrodynamics dissipative nanofluid over an unsteady stretching sheet in a porous medium with space and temperature dependent internal heat source/sink. The governing equations are transformed to ordinary differential equations by using similarity transformation. Numerical solutions of these equations are obtained by using the Shooting Technique. The effects of non-dimensional governing parameters on the velocity, temperature, concentration profiles, friction factor, Nusselt and Sherwood numbers are discussed and presented through graphs and tables. We observed that the Radiation parameter (Rd) to enhance the velocity, temperature profiles, heat and mass transfer rates of the fluid and reduce the concentration profiles. An increase in slip parameter (A11), reduces the velocity, enhances the temperature and nano-concentration. , Nu and Sh reduce with increasing Rd & A11 on =0. Accuracy of the results compared with the existing ones. Excellent agreement is found with earlier studies.