Miracle-dz/UniFAR-FTUs huggingface dataset:
Diagnostic Techniques in Rotating Machine Insulation: A Diagnostic Technique for Model Stator Bars Based on the Maximum Partial Discharge Magnitude

This work proposes a method to diagnose the aging of rotating machine insulation. Experiments have been performed in model stator bars, which are close to real stator bars of high voltage rotating machines, and the maximum partial discharge has been recorded as the applied voltage increases and then decreases. The resulting “hysteresis” curve shows whether the stator bar is in a “good” or “bad” condition. It is shown that the aging of the model bar influences the hysteresis curve, i.e., the latter presents a greater surface area with an aged bar than when the stator bar is not aged. The proposed method may give information not only on a yes or no basis (i.e., aged or non-aged bar), but it can also distinguish between a stator bar with a more and a stator bar with a less serious aging problem. A discussion on the merits of the proposed method follows. It is suggested that the proposed method can be used as a diagnostic tool for assessing the quality of a stator bar and for studying its aging.
Exploring the Antecedents of Organic Food Purchase Intention: An Extension of the Theory of Planned Behavior

Worldwide organic food consumption has registered a consistent rise in recent years. Despite the relevant body of literature on the topic, it is necessary to further understand the antecedents of purchase intention. This article aims to identify the factors that influence the consumer’s intention to purchase organic food. It extends the theory of planned behavior model by including environmental concerns, health concerns, and perceived quality as determinants of attitude toward organic food products. Additionally, it considers the effect of product availability on consumers’ perceived behavioral control. This article includes a quantitative study that was conducted in Portugal in 2020 (n = 206). Structural equation modeling was used to test the proposed set of research hypotheses. In line with extant literature, this study confirmed that attitude toward organic food is the main determinant of purchase intention. Additionally, it demonstrates that health concerns and perceived quality have a significant impact on attitude toward organic food. The impact of environmental concerns on attitude was not confirmed by this study. Based on these findings, it is recommended that managers stress health benefits and quality of organic food in order to foster positive attitudes and consequently leverage purchase intention.
Deploying Wide Color Gamut and High Dynamic Range in HD and UHD

This is an extended version of the paper with the same title that has been presented at IBC 2014. 1 Twenty years ago, Poynton presented a paper at IBC 1994 entitled “Wide gamut device-independent color image interchange. ” The CCIR 709 standard had just been adopted (in 1990), and, by 1994, sRGB deployment in desktop computing was well under way. That paper anticipated commercial interest in exchange for wide-gamut imagery. As it turned out, wide gamut was not imminent: We’ve had 20 years of very stable color encoding for video in the form of BT.709 for HD (augmented recently by BT.1886, which finally standardizes gamma), and the 709-derivative sRGB that remains ubiquitous in the computer domain. Now, however, dramatic changes are under way. Wide color gamut (WCG), enabled mainly by RGB LED backlights for liquid crystal display (LCD) displays, has already seen initial deployment in consumer television. High dynamic range (HDR) cameras are commercially available; and HDR displays, mainly enabled by spatially modulated LED backlights, are on the verge of commercialization. Many industry experts agree that consumers will experience WCG and HDR as more significant than increasing spatial resolution from HD (“2K”) to “4K. ” This paper revisits the topic of the 1994 paper, but now with some urgency, to address the question: How should wide color gamut and high dynamic range video imagery be encoded? The main conclusion is that the Y’CBCR technique and its variants are perfectly adequate for moderate dynamic range, but yield less than optimum performance when combined with HDR. New encoding techniques are needed. We conclude that: ▪A new high dynamic range opto-electronic conversion function (HDR OECF) (perceptual quantizer) should replace the conventional gamma function to enable HDR. ▪HDR should be encoded with at least 10 bits per component, to suppress “banding. ” 10 bits Y”C B C R 4:2:0 is at this moment the accepted standard for encoding HDR, and Philips will support the developments deriving from that choice. ▪Going to 12 bits Y”C B C R 4:2:0 will bring too little perceived improvement on natural content; further improvement must come from other changes. ▪C B C R (chroma) subsampling performs worse in combination with the HDR OECF; we propose encoding and decoding constant luminance, with modified u'v' chromaticity components instead of C B C R . ▪Therefore, for the future, we propose going to 10 bits Y”u”v” 4:2:0.
Evidence for the Concreteness of Abstract Language: A Meta-Analysis of Neuroimaging Studies

The neural mechanisms subserving the processing of abstract concepts remain largely debated. Even within the embodiment theoretical framework, most authors suggest that abstract concepts are coded in a linguistic propositional format, although they do not completely deny the role of sensorimotor and emotional experiences in coding it. To our knowledge, only one recent proposal puts forward that the processing of concrete and abstract concepts relies on the same mechanisms, with the only difference being in the complexity of the underlying experiences. In this paper, we performed a meta-analysis using the Activation Likelihood Estimates (ALE) method on 33 functional neuroimaging studies that considered activations related to abstract and concrete concepts. The results suggest that (1) concrete and abstract concepts share the recruitment of the temporo-fronto-parietal circuits normally involved in the interactions with the physical world, (2) processing concrete concepts recruits fronto-parietal areas better than abstract concepts, and (3) abstract concepts recruit Broca’s region more strongly than concrete ones. Based on anatomical and physiological evidence, Broca’s region is not only a linguistic region mainly devoted to speech production, but it is endowed with complex motor representations of different biological effectors. Hence, we propose that the stronger recruitment of this region for abstract concepts is expression of the complex sensorimotor experiences underlying it, rather than evidence of a purely linguistic format of its processing.
Auditors’ response to family succession: evidence from China

ABSTRACT This study examines the association between family succession and audit pricing. Auditors are interested in the successor’s capability, and they are incentivized to include this information in their audit pricing. A unique manually gathered dataset from China shows higher audit fees paid by second-generation family firms. However, compared with top-tier auditors, non-top-tier auditors charge lower audit fees to retain their engagement with family successors. Furthermore, auditors are more sensitive to successors’ personality characteristics, such as overseas education, business-related bachelor’s degree, business career experience, political connections, and succession age.
Blockade of TMEM16A protects against renal fibrosis by reducing intracellular Cl− concentration

Renal fibrosis is the final common outcome in most forms of chronic kidney disease (CKD). However, the underlying causal mechanisms remain obscure. The present study examined whether transmembrane member 16A (TMEM16A), a Ca2+‐activated chloride channel, contributes to the progression of renal fibrosis.
Guns or Butter: Decision Support for Determining the Size and Shape of the South African National Defense Force

In January of 1994, the chief of the South African National Defense Force (SANDF) asked the question: “In the absence of a conventional military threat, what should the size and shape of the SANDF be? ” A joint SANDF and Deloitte and Touche team supported the joint strategic management process (JSMP) with OR/MS based decision support models. The team created the following models: a risk model of the probability and potential impact of various defense contingencies, a growth model of growth potential of force structure elements, a cost model (zero based), a mixed-integer-programming model of all the relationships, and a manual model allowing the user to select different tasks and strategies. The project resulted in a saving on the approved force design (size and shape) of more than 22 percent. The results indicate clear opportunities for major additional savings.
A Modified Short Kino Gun for Low Noise Operation

ABSTRACT Results obtained from the eigenvalue perturbation method and Monte Carlo calculations are discussed. It is noted that the space-charge waves experience a growth during the latter part of the beam trajectory in the first half cycloid before the beam enters the interaction region. From the formula for the diocotron gain for a beam between two conducting planes, it is shown that diocotron gain is maximum when the beam is placed symmetrically with respect to the two conducting planes and is reduced to zero value when the beam position approaches either of the two conducting planes. Some further considerations for diocotron gain reduction are discussed. These results are in agreement with the experimental results. It is shown that the growth noticed in the earlier methods is essentially due to the diocotron gain during the latter part of the beam trajectory in the gun region. For low noise operation, a virtual elimination of the latter part of the gun region in the short Kino gun and a modified short .
New modeling strategy for the fringing energy in magnetic components with air gap

This work presents a new modeling strategy to account for the energy stored in the volume around the air gap in gapped magnetic components. The approach is based on the Schwarz-Christoffel transformation, which has been extended to axisymmetrical magnetic components. The results have been validated by means of comparisons with analytical expressions (no fringing flux consideration), 2D FEA based models and actual measurements. It is shown that the accuracy of the proposed method is very high when the assumptions of the model are fulfilled.
Unexpected Terrain Induced Changes in Cortical Activity in Bipedal-Walking Rats

Simple Summary Most studies on cortical dynamics during walking require subjects to walk stably on specific terrain. In fact, humans or other animals are often disturbed by an abrupt change in terrains during walking. To study the impact of unexpected terrain on cortical activity, we analyzed the kinematics and electroencephalography (EEG) dynamics of bipedal-walking rats after encountering unexpected terrain. We found that the gait of rats after encountering the unexpected terrain were significantly different from normal walking. Furthermore, the activities of the left and right primary motor areas (M1), the left and right primary somatosensory areas (S1), and the retrosplenial area (RSP) are coupled to gait cycle phase and varied with the terrain conditions. These findings suggest that unexpected terrains induced changes in gait and cortical activity, and provide novel insights into cortical dynamics during walking. Abstract Humans and other animals can quickly respond to unexpected terrains during walking, but little is known about the cortical dynamics in this process. To study the impact of unexpected terrains on brain activity, we allowed rats with blocked vision to walk on a treadmill in a bipedal posture and then walk on an uneven area at a random position on the treadmill belt. Whole brain EEG signals and hind limb kinematics of bipedal-walking rats were recorded. After encountering unexpected terrain, the θ band power of the bilateral M1, the γ band power of the left S1, and the θ to γ band power of the RSP significantly decreased compared with normal walking. Furthermore, when the rats left uneven terrain, the β band power of the bilateral M1 and the α band power of the right M1 decreased, while the γ band power of the left M1 significantly increased compared with normal walking. Compared with the flat terrain, the θ to low β (3–20 Hz) band power of the bilateral S1 increased after the rats contacted the uneven terrain and then decreased in the single- or double- support phase. These results support the hypothesis that unexpected terrains induced changes in cortical activity.
Does financial inclusion enhance financial stability? Evidence from a developing economy

Abstract In response to the global 2007–2009 financial crisis, central banks and policy makers globally, have spearheaded reforms aimed at improving financial stability. At the same time, a lot of effort and resources have been devoted to access and use of quality financial services by both households and firms. Existing literature suggests both positive and negative impact of financial inclusion on financial stability, but this is yet to be empirically validated. This paper investigates the effect of financial inclusion on financial stability in Kenya. Estimation results reveals that financial inclusion enhances financial stability. Therefore, policies that promote greater financial inclusion would boost financial stability.
Contemporary Management Accounting Techniques and Organizational Performance

The study's purpose was to observe the degree of association of contemporary management accounting techniques (CMATs) with organizational performance (OP). A survey questionnaire instrument was employed to collect data and followed a descriptive research design. The populace comprised all the manufacturing companies that were functioning in Nepal and their employees. The study targeted the listed manufacturing companies in Nepal Stock Exchange and their employees as a sample. A sum of 570 respondents had partaken in the survey using a random sampling technique, and 387 responses were filled correctly up for further analysis. The survey questionnaire had two questions relating to the respondents' general information, 12 questions regarding CMATs, and five questions relating to the effect of the study variables on OP. The study uncovered a negative and significant association between the variables that indicated the Nepalese manufacturing companies (NMCs) need to focus on fitting CMATs into organizational context. Researchers and professionals may utilize this study's outcome to upturn their insights, which thusly encourages them to assist the NMCs in improving organizational efficacy.
A robust variable step-size LMS-like algorithm for a second-order adaptive IIR notch filter for frequency detection

The best adaptive algorithm requires fast convergence speed, low variance, unbias and low steady-state mean square error (MSE) in both low and high signal-to-noise ratio (SNR) situations. We have proposed a robust variable step-size LMS-like algorithm (VS-LMS-L) for a second-order adaptive IIR notch filter for frequency detection in radar, sonar and communication systems. This algorithm is compared with the conventional LMS-like algorithm called the plain gradient algorithm (PG). The time-varying step-size /spl mu/(n) is adjusted by using the square of the time-averaged estimate of autocorrelation of the present output signal y(n) and the past one y(n-1). This technique can reject the effect of the uncorrelated noise sequence on the step-size update, resulting in a small MSE due to the small final /spl mu/(n). Moreover, this algorithm can also improve the convergence speed by comparison with the PG at the same MSE value.
Effectiveness of Learning Systems from Common Image File Types to Detect Osteosarcoma Based on Convolutional Neural Networks (CNNs) Models

Osteosarcoma is a rare bone cancer which is more common in children than in adults and has a high chance of metastasizing to the patient’s lungs. Due to initiated cases, it is difficult to diagnose and hard to detect the nodule in a lung at the early state. Convolutional Neural Networks (CNNs) are effectively applied for early state detection by considering CT-scanned images. Transferring patients from small hospitals to the cancer specialized hospital, Lerdsin Hospital, poses difficulties in information sharing because of the privacy and safety regulations. CD-ROM media was allowed for transferring patients’ data to Lerdsin Hospital. Digital Imaging and Communications in Medicine (DICOM) files cannot be stored on a CD-ROM. DICOM must be converted into other common image formats, such as BMP, JPG and PNG formats. Quality of images can affect the accuracy of the CNN models. In this research, the effect of different image formats is studied and experimented. Three popular medical CNN models, VGG-16, ResNet-50 and MobileNet-V2, are considered and used for osteosarcoma detection. The positive and negative class images are corrected from Lerdsin Hospital, and 80% of all images are used as a training dataset, while the rest are used to validate the trained models. Limited training images are simulated by reducing images in the training dataset. Each model is trained and validated by three different image formats, resulting in 54 testing cases. F1-Score and accuracy are calculated and compared for the models’ performance. VGG-16 is the most robust of all the formats. PNG format is the most preferred image format, followed by BMP and JPG formats, respectively.
Underwater radiated noise of the NOAA ship Oscar Dyson

The NOAA Ship OSCAR DYSON is the First-in-Class fisheries research vessel designed and built for the National Oceanic and Atmospheric Administration (NOAA) for fish stock assessment. One of its most important contractual requirements was to achieve an underwater noise limit established by the International Council for the Exploration of the Seas (ICES). The underwater noise limit has been specified by ICES over too large a frequency range and too small a resolution to allow for measurements with commercial grade test equipment. Modifications to the limit were made by NOAA which allowed the authors to develop a simple, deployable underwater measurement system. This system was then used to measure underwater noise from the OSCAR DYSON during sea trials in the Gulf of Mexico. The system consisted of a hydrophone array, signal conditioning and data acquisition hardware. The distance between the hydrophone array and the vessel must also be measured during the survey with the vessel in the acoustic far-field. Results from the far-field noise measurements were compiled and then compared to the ICES specification requirements. Self-noise from permanently mounted hydrophones in the hull were also measured during the survey. Finally, a comparison between the commercial system used by the authors and subsequent measurements performed by the U.S. Navy at their acoustic underwater test facility is made. These show good agreement at all but the lowest frequencies.
The monkey on your back?! Hierarchical positions and their influence on participants' behaviour within communities of learning

Organizational learning has been identified as a pivotal aspect in contributing to the competitive advantage of organizations (e.g. Argote & Ingram, 2000). However, despite ambiguous results on their effectiveness, traditional programs continue to dominate organizational learning initiatives. In this context, Communities of Learning (CoL) are an innovative methodological tool to stimulate knowledge creation and diffusion among members of an organization’s workforce. Previous research has shown that such (online) collaborative learning processes are significantly influenced by the hierarchical positions of individual participants within these communities (e.g. Romme, 1996). However, little is known about how exactly participants’ hierarchical positions influence individual levels of activity and performance levels within CoLs. The present study provides empirical evidence on 27 CoLs of a global training program, analyzing user statistics from asynchronous discussion forums for 235 staff members. The results of our study not only indicate that participants’ hierarchical position has a significant impact on their general level of activity, as well as their final grade. We are also able to reveal a group of “Stars” that lead their CoLs irrespective of their hierarchal position. Similarly, our findings suggest a certain duality among participants holding the lowest hierarchical positions. While the majority exhibits a “follower” mentality, a smaller subgroup appears to take on roles and behaviours usually assigned to team leaders. By considering these insights, managers of training programs can better anticipate participants’ behaviour and device collaborative learning activities that foster a vibrant learning environment, contributing to higher levels of cognitive discourse and social interaction among participants.
Demand Response Application as a Service: An SDN-Based Management Framework

With an increase in the utilization of appliances, meeting the energy demand of consumers by traditional power grids is an important issue. The success of Demand Response (DR) depends conclusively on real-time data communication between the consumers and the suppliers. Hence, a scalable and programmable communication network is required to handle the data generated. We prove that the problem of DR global load balancing includes energy and data constraints is NP-hard. So, a dynamic and self-configurable network technology known as Software-defined Networking (SDN) can be an efficient solution. In order to handle DR communication challenges, an SDN-enabled framework for DR flow management is designed in this paper. This framework is based on two-tier cloud computing and manages energy and data traffic seamlessly. We also equip this framework with Network Functions Virtualization (NFV) technology. The proposed framework is implemented on a practical testbed, which includes Open vSwitch, Floodlight controller, and OpenStack. Its performance is appraised by comprehensive experiments and scenarios. Based on the results, it achieves low delay, a high throughput, and improves Peak to Average Ratio (PAR) by balancing the energy and data on the entire DR network.
Integrated weed management in mustard

A field experiment was conducted with fourteen treatments (oxadiarzyl 0.180 kg/ha, pendimethalin 1.50 kg/ha, trifluralin 1.50 kg/ha and isoproturon 1.25 kg/ha alone and at half rate with hand weeding (HW), oxadiarzyl, pendimethalin and trifluralin each at half rate followed by (fb) isoproturon 0.75 kg/ha (post), pendimethalin fb clodinafop each at half rate, hand weeding twice and weedy check) at Palampur during Rabi 2006–2007 and 2007–08. Phalaris minor (28.2%), Avena ludoviciana (25.2%) and Lolium temulentum (19.2%) were the predominant grassy weeds. The broad-leaved weeds (Vicia sativa, Coronopus didymus and Anagallis arvensis) as a whole constituted 26.7% of the total weed flora. Hand weeding twice and pendimethalin fb isoproturon were more effective in reducing the population of P. minor. Pendimethalin + hand weeding and hand weeding twice were effective against A. ludoviciana. Similarly integration of one hand weeding with isoproturon and trifluralin and hand weeding twice effectively taken care of L. temulentum. Pendimethalin + isoproturon and hand weeding twice reduced N and S removal by weeds. Pendimethalin fb isoproturon and trifluralin fb isoproturon resulted in significantly higher yield attributes (silique/plant, seeds/silique, 1000-seed weight), seed yield and seed N per cent of mustard. Trifluralin + HW and pendimethalin fb isoproturon gave higher gross and net returns due to weed control over other treatments. Isoproturon resulted in highest net return per rupee invested on weed control (18.5).