Miracle-dz/UniFAR-FTUs huggingface dataset:
Subsynchronous resonance in a series-compensated Great Britain transmission network

In Great Britain (GB), increased levels of wind penetration require substantial reinforcements for transmitting power from Scotland to England. In the National Grid 2020 Vision, offshore and onshore infrastructure reinforcements have been proposed, the inland reinforcement including series compensation (fixed capacitors). A possible detrimental effect of onshore series compensation is the appearance of subsynchronous resonance (SSR). SSR caused by the interaction between turbogenerators and a series-compensated electrical network is studied. A three-machine system representing the onshore-reinforced mainland GB system is examined. The effect of series compensation equipment on SSR is assessed. The effects of quadrature boosters in the network are also investigated. Time-domain simulations are carried out in power systems computed aided design (PSCAD) whereas system modelling and eigenvalue analyses are conducted in MATLAB.
Business Information Visuals and User Learning

The majority of graphs and visuals made publicly available by Thai listed companies tend to be disjointed and minimal. Only a little over fifty percent of the total 478 companies included graphic representations of their business operations and performance in the form of two or three dimensional spreadsheet based graphs in their annual reports, investor relations documents, websites and so on. For novice users, these visual representations are unlikely to give the big picture of what is the company’s financial position and performance. Neither will they tell where the company stands in its own operating environment. The existing graphics and visuals, in very rare cases, can provide a sense of the company’s future outlook. For boundary users such as audit committees whose duty is to promote good governance through transparency and disclosure, preliminary interview results show that there is some doubt as to whether the inclusion of big-picture visuals can really be of use to minority shareholders. These boundary users expect to see more insightful visuals beyond those produced by traditional spreadsheets which will enable them to learn to cope with the on-going turbulence in today’s business environment more quickly. However, the debate is still going on as to where to draw the line between internal or external reporting visuals.
THE HUMIC ACID AND ROOTSTOCK IN ENHANCING SALT TOLERANCE OF ‘ANNA’ APPLE SEEDLINGS

‘Anna’ apple plants (Malus domestica Borkh) budded on M. communis or MM106 rootstocks were observed under 0, 1000, and 2000 ppm saline irrigation water that contained equal parts of NaCl, CaCl2, MgSO4 and NaHCO3 salts. Also, the effect of humic acid treatments (soil, foliar, and soil + foliar application) on the growth parameters (shoot length, number of leaves, leaf area and leaf chlorophyll content), nutritional status (percentage of leaf dry matter and NPK content), root system growth (root length, number of roots, and dry matter of main and secondary roots), toxic ions (chloride and sodium leaf content), and proline amino acid was studied. Salinity treatments significantly decreased growth parameters, nutritional status and root system growth, and in the contrary, they increased toxic ions and proline amino acid content. M. communis rootstock tolerated salinity more than MM106 stock, since ‘Anna’ apple plants on M. communis grew better under different salinity doses than on MM106 roots. Moreover, humic acid application (especially soil treatment with 20 ml Actosol in 1 L of water per 35-cm-pot every other week from late June to Oct.15) markedly minimized the harmful effect of salinity and enhanced apple salt tolerance.
Measuring and Predicting Maturity to Parenthood: What Has Personality Got to Do with It?

Maturity to parenthood is essential for taking on parental roles but remains an understudied issue. Still, close relations between maturity and personality dimensions are commonly emphasized. Thus, conducting research on maturity in context of personality seems a valuable research direction. The present research consists of two studies, focusing on the development and validation of Maturity to Parenthood Scale (MPS), in relation to personality, emotional regulation, coping with challenges, and intimate relationship satisfaction. In both studies, childless adults aged 20–35 years took part: (1) 718 participants (Mage = 25.49; SD = 2.89; 479 women), (2) 150 participants (Mage = 23.69; SD = 3.15; 104 women). All the participants had been in an intimate relationship for at least six months at the time of the study, the majority declared their willingness to have children in the future, had higher education, and were professionally active. The results showed that MPS is a reliable, valid measure comprising the following three subscales: valence, behavioral, and cognitive–emotional maturity to parenthood. The findings also confirmed the importance of broad- and narrow-band individual differences and contextual factors for maturity. MPS may be used in psychoeducation, supporting the transition to biological or adoptive/foster parenthood, as well as in medical and psychological care.
Control of a Dual-Air-Gap Axial Flux Permanent Magnet Machine for a Flywheel Energy Storage System: A Model Predictive Control Approach

Abstract This paper presents a fast current control scheme for a dual air-gap axial flux permanent magnet (AFPM) machine based on model predictive control (MPC) approach. This AFPM machine functions as both motor and generator in the flywheel energy storage system (FESS), hence its fast acceleration or deceleration is crucial for rapid storage and release of energy respectively. MPC method, which can pre-calculate the system behaviour and subsequently select optimal control variables, has been employed to control this machine. Performance of MPC for this machine is evaluated and compared with the proportional-integral-derivative controllers. The feasibility and potential of the MPC for this AFPM machine in the FESS have been validated by both simulations and experiments on a machine prototype.
Oblique differential object marking and types of nominals

Abstract The question of whether differentially marked objects should be linked with Case licensing or some other mechanism in the grammar has given rise to numerous debates. Addressing contexts of differential object marking (DOM) with oblique morphology, this article shows that, while the Case licensing approach might be adequate for varieties of Spanish, oblique differential marking rather signals an independent licensing operation, beyond Case, in languages like Romanian, Gujarati or Mandarin Chinese. This additional mechanism, relevant at the syntax-semantics-pragmatics interface, tracks the role of grammaticalized animates or how the speaker relates to other entities in the discourse. Additionally, the data examined here indicate that objects can come in a variety of sizes and structures, with distinct licensing constraints, such that the divide Case licensed/unlicensed or Case licensing/(pseudo-)incorporation is not enough.
Investigating the Role of Academic Optimism in Classroom Management and Job Burnout of Elementary School Teachers

The aim of this study is to investigate the role of academic optimism in classroom management and job burnout of elementary school teachers. The method of this research is a descriptive correlational study. The statistical population in this study included all primary school teachers in Baneh who were teaching in this city during the academic year 2017–2018. The number of teachers in Baneh was 800, of whom 457 were female teachers and 343 were male teachers. According to Krejcie and Morgan table, the sample size was 260 people. The sampling technique in this study was cluster sampling. To collect data, the following questionnaires were used; Beard et al.’s academic optimism, the attitudes and beliefs of teachers regarding classroom management of Martin and Sass and Maslach Burnout. Data analysis was performed by Amos software. The results showed that the paths of scientific emphasis on behavior management, trust in education management, self-efficacy in behavior management, and education management were statistically significant. Also, the results showed that the paths of scientific emphasis on emotional exhaustion, depersonalization and personal success; confidence in emotional exhaustion, depersonalization, and personal success; and self-efficacy to emotional exhaustion, depersonalization, and personal success are statistically significant.
Feedback in track fusion without process noise

Track fusion is one of the algorithm architectures for tracking multiple targets with data from multiple sensors. In track fusion for example, sensor-level tracks can be combined to form global-level tracks that are based on data from all the sensors. These multiple sensor, global- level tracks can then be fed back to the sensor-level trackers to reduce the data association errors. The global tracks, however, are cross-correlated with the sensor-level tracks. A method is needed to take this track-to-track cross-correlation into account. This cross- correlation of the global and sensor tracks must be considered when providing the global tracks to the sensor trackers as well as when providing the sensor tracks to the global tracker. Even without process noise, the global and sensor tracks are cross-correlated because they are based on common data. With feedback, both the global tracks and the tracks from each sensor are based on prior data from not only the sensor itself, but also the other sensors. This paper presents a method for dealing with the cross-correlations of the tracks in track fusion for feeding back the global level tracks. New methods have been recently developed for track fusion without process noise. These new methods address track fusion without feedback of global-level tracks to the lower levels. Application of these new methods are employed in this paper to deal with the complex cross-correlations involved when global tracks are fed back to the sensor-level trackers.
Short reports on cutaneous leishmaniasis outbreak investigation in Ankesha-Guagsa district, Amhara region, Northwest Ethiopia

Cutaneous leishmaniasis is spreading in Ethiopia and outbreaks have been recorded at new foci. In the Ankesha-Guagsa district, from September 24 to 28, 2020, 39 suspected cases were screened, and amastigote stages were identified in lesion samples of 34 (87.2%) cases.
Machine-Learning-Enabled Virtual Screening for Inhibitors of Lysine-Specific Histone Demethylase 1

A machine learning approach has been applied to virtual screening for lysine specific demethylase 1 (LSD1) inhibitors. LSD1 is an important anti-cancer target. Machine learning models to predict activity were constructed using Morgan molecular fingerprints. The dataset, consisting of 931 molecules with LSD1 inhibition activity, was obtained from the ChEMBL database. An evaluation of several candidate algorithms on the main dataset revealed that the support vector regressor gave the best model, with a coefficient of determination (R2) of 0.703. Virtual screening, using this model, identified five predicted potent inhibitors from the ZINC database comprising more than 300,000 molecules. The virtual screening recovered a known inhibitor, RN1, as well as four compounds where activity against LSD1 had not previously been suggested. Thus, we performed a machine-learning-enabled virtual screening of LSD1 inhibitors using only the structural information of the molecules.
Semantics Analysis of Agricultural Experts’ Opinions for Crop Productivity through Machine Learning

ABSTRACT Semantic analysis is a particular technique, which is an interesting area of research that associates with Natural Language Processing (NLP), artificial intelligence, opinion mining, text clustering, and classification. Numerous text processing techniques are being used to find out sentiments from the comments, such as social media tweets, hoax, fiction, nonfiction, novels, books, movies, health care, and stock exchange. Agrarian experts’ opinions play a vital role in the agriculture sector that yields good crop productivity. This paper presents a descriptive analysis of agriculture experts’ opinions through machine learning methods based on textual data collection. The data has been collected by surveying various academia, research institute, and industry of Punjab, Pakistan. The impact of various agricultural inputs such as seed quality, soil quality, soil-intensive tillage, climate changes, water shortage, synthetic fertilizer, and precision technologies on crop productivity have been collected through questionnaires. This research provides a descriptive analysis of collected agrarians experts opinions to increase the crop yield by providing awareness regarding current agriculture inputs to farmers by using machine learning. The current research provides a cohesive expert guideline for improving crop productivity, useful for agricultural policymaking, and conveys adequate farmers’ knowledge. Consequently, the proposed method is an innovative way of discovering recommendations of agrarians through sentiment analysis in survey data using machine learning methods. Furthermore, to the best of our knowledge, agrarians experts opinions on enhancing crop productivity have been considered for the first time in Pakistan.
The realization of all-pass filters for third-order dispersion compensation in ultrafast optical fiber transmission systems

Thin film (TF)-based coupled cavity all-pass filters (CCAP) have the potential for providing compact, low-loss, and highly stable third-order dispersion (TOD) compensation in ultrafast optical fiber transmission systems employing optical time-division multiplexing (OTDM). In this paper, a methodology for designing CCAP filters for TOD compensation is presented, First, we develop a theory necessary for designing the cavity structure, that is, mirror reflectivity and cavity spacing, of CCAP filters. As a next step, we discuss how we can represent such filters as TF devices and demonstrate several TF-layer design examples. Finally, a coupled two-cavity filter is constructed and tested. The filter has a center wavelength that can be varied over a range of 8 nm and can compensate for fiber TOD between 2.0 and 15.5 ps/sup 3/ over a bandwidth between 3.6 and 1.2 nm, respectively. The peak spectral ripple of the filter is 1.0 dB, The experimentally measured dispersion curves of the filter agree well with the theory.
A multi-agent-based negotiation approach for parallel machine scheduling with multi-objectives in an electro-etching process

Electro-etching is a critical process in producing aluminium foil, and it always involves many parallel machines with three distinct voltages. Therefore, production scheduling involves these parallel machines and their eligibility. In this paper, an agent-based negotiation approach is proposed to develop a distributed parallel machine scheduling application in this manufacturing environment. The agent-based system consists of types of agent, i.e. job agents, machine agents and management agents, to represent jobs, machines and supervisors, respectively. To establish job allocations, job agents and machine agents have to bid interactively. Negotiation protocol and bid decision models are developed for negotiations between job agents and machine agents. The management agent plays a centralised controller and system coordinator role. The main function of the management agent is to manage the negotiation process between job agents and machine agents to ensure that the global objectives of the system, such as minimising total job tardiness and flow time, balancing machine loading and maximising total revenue, can be achieved. Experiments are conducted to evaluate the performance of the proposed system. The results show that the proposed agent-based scheduling mechanism will provide an integrated process plan and parallel eligible machine scheduling solutions with better global performance.
Strategic Responses During Frugal Innovation at the Base of the Pyramid: the Case of Philips Community Life Centres

When multinational enterprises (MNEs) seek to serve the needs of base of the pyramid (BOP) environments, they are often confronted with several environmental factors, among them, severe resource constraints and institutional complexities. MNEs adopt two overarching strategic orientations to navigate these factors: the strategy to adapt to the new context, or the strategy to shape the context. This paper investigates how and when these strategic orientations are deployed in an MNE. It further explores the intra-organisational tensions and dilemmas that arise when these strategic orientations are implemented. This paper analyzes a case of frugal innovation in a primary care intervention developed and deployed in Kenya by Philips N. V. , a Dutch multinational technology company. Several propositions are generated based on the case findings. The paper contributes to the frugal innovation literature which lacks rigorous, in-depth analytical case studies on organisational processes associated with new product development. It also offers managers a useful toolkit that could inform how they could strategically navigate the pressures of BOP environments.
New Method of Spherical Surface Defect Detection Based on Machine Vision

According to requirements of online steel ball surface defect inspection, the automatic detection method of spherical surface defect on the track has been posed. To ensure photographing of the whole steel ball surface, the six CCD video cameras are used in this system. To overcome steel ball surface reflection, the red LED light source is used, and then the real and clear images are got. The steel ball surface defect is recognized accurately by means of image recognition technology and image reconstruction technology etc. This method provides theoretical basis and technical support for ball defection and quality classification.
The relationship between continuous improvement and rapid improvement sustainability

While rapid improvement efforts, e.g. Kaizen events, and continuous improvement efforts, i.e. kaizen, remain popular approaches to operational excellence, it is rare that organisations fully sustain change from these initiatives. The impact of both Kaizen events and kaizen may be substantially lower, if not entirely eliminated, after significant time has elapsed from initial implementation of changes. In this paper, we examine how having a continuous improvement culture can support rapid improvement sustainability via an examination of the impact of Kaizen events several months after implementation. Employing a dynamic capabilities perspective and using the institutionalisation of planned change framework, we empirically examine this relationship via a field study of 65 Kaizen events in eight manufacturing organisations. In short, we find that the extent to which work area employees exhibit peer learning, as well as awareness and responsibility both inside and outside of their work area, and the extent to which changes are accepted are significantly related to the perceived impact of Kaizen events several months after implementation. This research adds to current understanding of Kaizen events and kaizen, providing evidence to guide the use of Kaizen events and to inform areas for future research.
Reliability of MEMS : testing of materials and devices

Evaluation of Mechanical Properties of MEMS Materials and Their Standardization Elastoplastic Indentation Contact Mechanics of Homogeneous Materials and Coating-Substrate Systems Thin film Characterization Using the Bulge Test Uniaxial Tensile Test for MEMS Materials On-chip Testing of MEMS Reliability of a Capacitive Pressure Sensor Inertial Sensors High-Accuracy, High-Reliability MEMS Accelerometer Reliability of MEMS Variable Optical Attenuator Reliability of MEMS Variable Optical Attenuator (pages 239-266) Eco Scan MEMS Resonant Mirror
Detection of Crosstalk Faults in Digital Circuits by Testability Evaluation

The increase in dense interconnect as well as the clock frequency of digital circuits has led to an increasing number of crosstalk faults. A new test approach for crosstalk faults in digital circuits is presented in this paper, the approach aims at the faults of crosstalk induced pulse, uses controllability and observability measures of the signal lines to produce the test vectors of crosstalk faults. Choose a lot of paths from the fault site to the primary outputs of circuit, and carry out forward tracing and backward tracing, until every signal line is assigned a logic value and no conflict arises. Experimental results on a lot of digital circuits show that the test approach proposed in this paper can generate the test vectors of crosstalk faults, and can obtain high fault coverage.
Inherent Irreversibility of Mixed Convection within Concentric Pipes in a Porous Medium with Thermal Radiation

This work investigated the thermal putrefaction and inherent irreversibility in a steady flow of an incompressible inconstant viscosity radiating fluid within two concentric pipes filled with a porous medium. Following the Brinkmann-Darcy-Forchheimer approach, the nonlinear differential equations governing the model were obtained. The model boundary value problem was addressed numerically via a shooting quadrature with the Runge-Kutta-Fehlberg integration scheme. The effects of diverse emerging parameters on the fluid velocity, temperature, skin friction, Nusselt number, entropy generation rate and the Bejan number are provided in graphs and discussed in this paper.
Power distribution planning: a review of models and issues

Power distribution planning is a complex task in which planners must ensure that there is adequate substation capacity (transformer capacity) and feeder capacity (distribution capacity) to meet the load demands. Decisions such as allocation of power flow, installation of feeders and substations, and procurement of transformers are costly ones which must be evaluated carefully. This paper provides a review of research problems as well as models related to the planning of substations and/or distribution feeders. Following a general discussion, we review existing research work under two major groups: planning under normal conditions, and planning for emergency. A discussion on relevant research opportunities is included.