Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing Thermoelectric Energy Recovery Via Modulations of Source Temperature for Cyclical Heat Loadings

Very recent thermoelectric (TE) device materials improvements have pushed this technology to the cusp of usefulness in converting waste heat to electricity in a variety of applications — from automotive to aerospace. For applications where the heat loading is cyclical or non-constant, the effect of active control to maintain the source temperature at or near the peak allowable temperature while maximizing the temperature difference across a TE temporally on the overall thermoelectric efficiency is investigated. Efficiencies for constant heat loading applications that are not at near peak allowable temperatures are also investigated. The modulation of the source temperature would be achieved through the use of a ‘thermal switch’ or ‘active thermal potentiometer’ between the heat source and the thermoelectric device. Two methods are used to model the thermoelectric energy recovery system. First, an RC equivalent model is used to define the controlling factors for efficiency on a first order basis. Second, a numerical model is created to investigate the system in more detail. Both models demonstrate that maximizing the exergy of the source by maximizing its temperature during off-peak heat loadings is capable of improving the time-averaged efficiency of a thermoelectric device. For some conditions, improved time averaged efficiencies of more than 4 times are realized. Criteria defining the operation space where efficiency improvements are realized are also developed.Copyright © 2005 by ASME
Enhancing DFIG wind turbine during three-phase fault using parallel interleaved converters and dynamic resistor

Transient operations are very crucial for high power insulated-gate bipolar transistor modules, because high current and voltage are applied during this period for several microseconds. Therefore, the ability for doubly fed induction generator (DFIG) variable speed wind turbine power converters to withstand abnormal conditions is strictly imperative in order to achieve its lifetime specifications and also fulfil the grid codes. This study presents a new control scheme for DFIG wind turbine having parallel interleaved converters (PIC) configuration and a series dynamic braking resistor (SDBR) connected at its stator side. Interleaving the wind turbine converters in parallel configuration could help to increase the current capability, while the SDBR helps in post fault recovery of the wind turbine. The coordinated control analysis of the scheme was implemented in power system computer aided design and electromagnetic transient including DC simulation environment for a severe three-phase to ground fault. Results obtained were compared with the conventional DC chopper and crowbar rotor circuit protection scheme for the wind turbine. A better performance of the wind turbine variables were achieved using the proposed control scheme of the PIC and SDBR because the space vector modulation of the PIC results in maximum value of the change in common mode voltage, leading to improved switched output voltage of the voltage source converter leg.
Exploring the Online EFL Classroom Ecology of Middle Schools During the COVID-19 Lockdown

The outbreak of COVID-19 has induced an abrupt shift from face-to-face instruction to online delivery mode for academic continuity. This research aims to explore the ecology of the pandemic-induced online English as foreign language (EFL) classrooms in Chinese middle schools and perceptions held by the English teachers, students, and parents. By analyzing data collected from 10, 576 questionnaires and eleven interviews, this study revealed how these participants played their respective parts in online EFL classroom ecology. Also, it was found that teachers’ evaluations of students’ learning performance (learning engagement and outcomes) and teacher-student interactions (in-class interaction, after-class interaction, and teachers’ feedback about homework) and their overall satisfaction of the online EFL classrooms were lower than that of the other two groups. In addition, major concerns of the participants about online EFL teaching and learning were identified, such as students’ vision damage and inadequate self-discipline, lack of face-to-face communication, and unstable Internet connection. Through presenting and discussing the research findings, this study is expected to provide implications and insights for foreign language educators, learners, and parents worldwide in adapting to online classrooms during public crises.
The Role of Early Maladaptive Schemas on Coping Styles and Fear of Recurrence in Women With Breast Cancer: A Cross-Sectional Study

using a simple random sampling technique. The criteria were radiotherapy, one ago, and at a questions independently. The exclusion criteria were being a widow and/or suffering from other specific physical and mental health problems in addition to cancer. The participants the Schema Questionnaire - Short Form the Coping Inventory for Stressful Situations and of Cancer Recurrence Inventory (FCRI). The collected data were analyzed; using the Pearson correlation coefficient and multiple linear regression analysis. Results: Data analysis demonstrated that emotional inhibition, entitlement/grandiosity, enmeshment/undeveloped self, unrelenting standards/hyper criticalness, and insufficient self-control/self-discipline were positively correlated with fear of cancer recurrence (FCR). The strongest correlations with fear of recurrence were related to the emotional inhibition (r=0.35), unrelenting standards/hyper criticalness, and entitlement/grandiosity (r=0.28) (P<0.001). Emotional and avoidance coping styles were also associated with the fear of recurrence (r=0.50 and r=0.20). Furthermore, the independent variables could explain 41% of the variances in FCR (P<0,001). Conclusions: Understanding the role of dysfunctional cognitive schemas on coping mechanisms and FCR can help clinicians and mental health professionals to form treatment interventions for patients.
Customer Relationship Marketing and The Challenge of System Trust in the Nigerian Retail Banking Context

Purpose – This study explores how system trust affects customer relationships management in the Nigerian retail-banking context, a country with weak institutions and infrastructure. Design/methodology/approach – this is an exploratory study based on qualitative research using semi-structured interviews with 27 managers, and a review of documents on the Nigerian retail banking system. Findings – The major findings of the study is that weak system trust - due to the weak legal framework, low literacy level and ineffective policing, has an influence on technology-dominated relationship marketing and reinforces interpersonal trust in the Nigerian retail banking context. Practical implication-the findings are significant to research and practice concerning how system trust affects the relationship management strategy of retail banks in the Sub-Saharan African market, and how banks mitigate the effect of system trust through staffs’ interpersonal trust-building effort. Originality/value – This study is among the very few studies that link CRM implementation and system trust in the retail banking context that operate in the Sub-Saharan African market.
Remote Activity Monitoring of the Elderly Using a Two-Axis Accelerometer

This paper presents a design and experimental study of a remote posture monitoring system. The monitoring system aims for applications in activity analysis of the elderly. We propose a wearable sensor system, which consists of a two-axis accelerometer and RF wireless communication modules. The acquired body motion signals from accelerometers are transmitted to a host computer via RF link for feature extraction and pattern recognition. Wavelet transform techniques are adopted for feature extraction of human body postures. The signal is decomposed into five levels and low-frequency components are extracted to obtain useful features. Pattern recognition techniques are then applied to distinguish five basic postures: up stairs, down stairs, walking, standing, and sitting. Experimental results are presented to show the effectiveness of the proposed method.
Real, compared to what? Insertability of constrained realemes in Dave Eggers’ What is the What

The paper examines Eggers’ What is the What (2006) that has problematically been called an autobiographical novel and memoire, narrating Valentino’s chequered past as one of Sudanese Lost Boys. The text yields potential perspectives that demand scrutiny for understanding of the fascinating reciprocity between fictionality and historicity. The article engages theorizations of the complex coalescence offered by Zohar (1980) and McHale (1987) to benchmark the thematic dimensions of the selected text against the cutting-edge postulates. In addition, Valentino’s preface to the “novel”, engaging with the purpose of his collaborative working with Eggers, and Eggers’ essay “It was just boys walking” (2004), negotiating the genesis of the project, have also been used as a methodological touchstone. The analysis vindicates the correspondence between the fictional and the historical versions, albeit the author has fictionalized gaps of Valentino’s historicized life. Thus, Eggers’ text consummates blurring by encompassing both the thematic dimensions, fusing fiction and fact, and the structural schemas, mixing the techniques of different genre traditions, inasmuch as his work exhibits a hermeneutic playfulness found at the heart of the aesthetics of postmodern and 9/11 fiction.
Patent Map Analysis of Measurement Technology

According to World Intellectual Property Indicators 2014, growth rate of measurement technique was the leader of the top five fields of technology. Professional tool-ISI Web of Knowledge System Derwent World Patents Index database (DWPI) was used to acquire and study patent data. Thomson's patent analyses software TDA was used in measurement technology patents map analysis, paying attention to the technical focus and hot spots. In this paper, searching patent status of measurement from 2010 to 2014 by using professional tool DWPI and TDA, hot spots of patent application in measurement field were found. Considering multi parameters, such as patent application year, patent application country/region and measurement subdivisions, the development trends and hot spots of world patents of measurement analyzed, several proposals were put forward to improve the quality of China measurement patents.
Monitoring and Modeling of Urban Trail Traffic: Validation of Direct Demand Models in Minneapolis, Minnesota, and Columbus, Ohio

Transportation planners and engineers need estimates of nonmotorized traffic volumes and analytical tools to plan and manage infrastructure for bicycling and walking. Direct demand models are useful, comparatively simple tools for the estimation of volumes from nonmotorized traffic counts and do not require detailed information from travel behavior inventories. However, few demand models for bicycling and walking have been validated. This paper extends the practice of nonmotorized traffic monitoring and modeling in three ways. First, procedures recommended in the FHWA Traffic Monitoring Guide are followed to present estimates of annual average daily traffic (AADT) for each segment of the urban trail networks in two major U.S. cities: Minneapolis, Minnesota, and Columbus, Ohio. Second, independent variables constructed from nationally available data sets and the local characteristics of each trail system are used to estimate and validate direct demand models for AADT. Third, to assess the potential for the general application of the models, the results of cross-city validations are presented. Our results confirm that FHWA monitoring procedures can be used to characterize the variation in traffic flows on urban trail networks. Direct demand models for each city have reasonably good fits, but the predicted traffic volumes for more than one-third of the segments exceed the actual volumes by more than 60%. Cross validation results indicate that these models cannot yet be applied as predictive tools across cities. More experimentation is needed to assess the feasibility of developing generalized direct demand models for trails and other nonmotorized transportation networks.
The Design of an Automatic Flight Control System and Dynamic Simulation for Fixed-Wing Unmanned Aerial Vehicle (UAV) using X-Plane and LabVIEW

This research focuses on developing an automatic flight control system for a fixed-wing unmanned aerial vehicle (UAV) using a software-in-the-loop method in which the PID controller is implemented in National Instruments LabVIEW software and the flight dynamics of the fixed-wing UAV are simulated using the X-Plane flight simulator. The fixed-wing UAV model is created using the Plane Maker software and is based on existing geometry and propulsion data from the literature. Gain tuning for the PID controller is accomplished using the pole placement technique. In this approach, the controller gain can be calculated using the dynamic parameters in the transfer function model and the desired characteristic equation. The proposed controller designs' performance is validated using attitude, altitude, and velocity hold simulations. The results demonstrate that the technique can be an effective tool for researchers to validate their UAV control algorithms by utilising the realistic UAV or manned aircraft models available in the X-Plane flight simulator.
Modern Paradigm Towards Potential Target Identification for Antiviral (SARS-nCoV-2) and Anticancer Lipopeptides: A Pharmacophore-Based Approach

Background: Lipopeptides are potential microbial metabolites that are abandoned with broad spectrum biopharmaceutical properties ranging from antimicrobial, antiviral and anticancer, etc. Clinical studies are not much explored beyond the experimental methods to understand drug mechanisms on target proteins at the molecular level for large molecules. Due to the less available studies on potential target proteins of lipopeptide based drugs, their potential inhibitory role for more obvious treatment on disease have not been explored in the direction of lead optimization. However, Computational approaches need to be utilized to explore drug discovery aspects on lipopeptide based drugs, which are time saving and cost-effective techniques. Methods: Here a ligand-based drug discovery approach is coupled with reverse pharmacophore-mapping for the prediction of potential targets for antiviral (SARS-nCoV-2) and anticancer lipopeptides. Web-based servers PharmMapper and Swiss Target Prediction are used for the identification of target proteins for lipopeptides surfactin and iturin produced by Bacillus subtilis. Results: The studies have given the insight to treat the diseases with next-generation large molecule therapeutics. Results also indicate the affinity for Angiotensin-Converting Enzymes (ACE) and proteases as the potential viral targets for these categories of peptide therapeutics. A target protein for the Human Papilloma Virus (HPV) has also been mapped. Conclusion: The work will further help in exploring computer-aided drug designing of novel compounds with greater efficiency where the structure of the target proteins and lead compounds are known.
AWE-Inspiring Electrically Small Antennas

Anytime-wireless-everywhere (AWE) aspirations for Internet-of-Things (IoT) applications to be enabled through current 5G and evolving 6G and beyond ecosystems necessitate the development of innovative electrically small antennas (ESAs). While a variety of ESA systems are reviewed, those realized from the near-field resonant parasitic (NFRP) antenna paradigm are emphasized. Efficiency, bandwidth and directivity issues are highlighted. Multifunctional, reconfigurable, passive and active systems that have been achieved are discussed and illustrated; their performance characteristics and advantages described. This overview finalizes by going back to the future and considers enterprising research areas of current and forward-looking interest.
Investigating neurotrophin genetics and hippocampal volume

As individuals get older, the structural integrity of brain regions becomes progressively diminished. Neurotrophic function might aid in preventing such losses through increased synaptogenesis and neurogenesis, particularly in the hippocampus, a brain structure relevant for cognitive function. However, the carriage of certain genetic alleles for genes involved in neurotrophic function might restrain the effectiveness of neurotrophin signalling, hindering neuroprotection. Yet, research on the contribution of single nucleotide polymorphisms (SNPs) within genes coding for neurotrophins and their receptors to hippocampal volumes is scarce, with the exception of rs6265 within the brain-derived neurotrophic factor gene. Therefore, the aim of this study was to identify SNPs within genes involved neurotrophic function that are associated with hippocampal volume in a sample of 23,776 cognitively normal older adults from the UK Biobank. We found that, in individuals older than 50, homozygote carriage of the major alleles rs4839435-A within nerve growth factor gene and rs56405676-T within the neurotrophic receptor tyrosine kinase 2 gene, were associated with increase hippocampal volumes, compared to carriage of 1 or 2 copies of the minor alleles. However, only rs56405676-T was significantly associated with greater hippocampal volumes in individuals older than 60. Hence this study might serve to identify populations at higher risk of hippocampal attrition and cognitive decline.
Virtual Assembly System and the Enabling Technologies

The virtual assembly environment (VAE) based on constraint recognition and mixed data model was presented. VAE is a virtual reality based engineering application system, Constructed Solid Geometry(CSG) solid model and polygon model are both used to express the parts. The system architecture and the function modules of VAE were analyzed and its UML (united modeling language) model was established. Several enabling technologies such as constraint recognition, real time collision detection and mixed modeling were explored. According to these technologies, a prototype system of VAE was developed, which is based on PowerWall hardware system. In VAE prototype system, engineers can analyze and plan the assembly of mechanical system and operators can complete their operation training. Some primary parameterized modeling functions are also presented in VAE.
Importance of small diameter woody plants and treelet species in tropical wet evergreen forest of southern western ghats, india

Tropical forests have long been accepted for their productivity and ecosystem services on account of their high diversity and stand structural attributes. In spite of their significance, tropical forests, and especially those of Asia, remain understudied. Until recently, most forest inventories in Asia have concentrated on trees 10 cm in diameter. Floristic composition, plant species diversity, above ground biomass, basal area and diversity were investigated across different life form and two-diameter classes in a large scale 10-ha plot, in the undisturbed tropical seasonal rain forest of Southern Western Ghats, Kerala, India. Regeneration pattern of the study area was examined by evaluating fisher’s alpha and IVI (Important Value Index) across three layer of vegetation (seedling, sapling, and tree). Within the plot, we recorded 25,390 woody plant species ≥1 cm dbh from 45 families, 91 genera, and 106 species. Plant density was 2539 woody individuals per hectare, with a basal area of 47.72 m2/ha and an above-ground biomass of 421.77 Mg/ha. By basal area, density, and frequency, the Rubiaceae, Sapotaceae, and Malvaceae families were the most important. Small-diameter trees (1 cm ≤ dbh ≤10 cm) found to be 78 percent of the total tree population, 20.2 percent of the basal area, and 1.4 percent of the aboveground biomass. They also possessed 6 percent more diversity at the family level, 10% more diversity at the genus level, and 12% more diversity at the species level than woody individuals under 10 cm dbh. Woody individuals of treelets life form and small-diameter classes were much more diverse and dense than the other groups, indicating that results based only on larger canopy trees and larger diameter class may be not an appropriate representation of the diversity status of a particular tropical forest type. Lower density of individuals in initial girth class indicates the vulnerability of the forest system to anthropogenic, natural disturbance and a changing climate. Reduce the minimum diameter limit down to 1 cm, in contrast to 10 cm limit used in most of the evergreen forest inventories, revealed a high density and diversity in thelower stories.
INDOOR LIGHT ENERGY HARVESTING DEVICE

In recent years, the design and development of energy-saving green buildings is an active area of research. Among various potential techniques, the utilization of a wireless sensor network (WSN) is widely used for intelligent building management applications. Typically, an intelligent building management system is used to monitor indoor environment parameters such as illumination, temperature, humidity and air quality. It has been reported that such an intelligent building monitor can save up to 20% of the energy usage, a considerable step toward the realization of smart building management. In conventional WSNs, the battery is used to energize these micro-scale sensors. However, frequent battery replacement poses big problem. In this paper, we construct of a WSN system for intelligent building environment monitoring in green high performance buildings powered through harvesting the indoor ambient light energy. A temperature sensor array was installed to demonstrate the feasibility of an infinite lifetime operation of a WSN system by harvesting the indoor light energy as the power source.
The association between postoperative corneal edema and phacoemulsification level

Aim: To evaluate the effect of phacoemulsification level on postoperative central corneal thickness (CCT) differences and to assess the effects of demographic characteristics, biometric values and surgical parameters of patients on postoperative corneal edema. Methods: This prospective study included 232 eyes of 232 patients who underwent phacoemulsification surgery. Biometric values, phacoemulsification time, phacoemulsification power and effective phacoemulsification time (EPT) were evaluated. CCT measurements were repeated at follow-ups on days 1, 7 and 30 after surgery. Phaco-chop technique was performed in all patients and phacoemulsification level changes that occurred during surgery were recorded. Patients were grouped as Group 1: >75% of lens nucleus emulsified in capsular bag; Group 2: >75% of lens nucleus emulsified in iris plane; and Group 3: >50% of lens nucleus emulsified in anterior chamber. Results: Increase in the mean CCT values on the first day (incCCT1) and at the first week after surgery were more pronounced in Group 3 as compared with both Groups 1 and 2 (p < 0.05 for all). In addition, incCCT1 was higher in Group 2 than Group 1 (p=0.040). In the final model of multiple linear regression (R=0.31), it was determined that EPT, aqueous depth (AD) and phacoemulsification level significantly affected incCCT1 (p range: <0.001 to 0.009). Conclusions: The present study showed that more anterior phacoemulsification levels than the capsular bag caused higher CCT increase postoperatively. In addition, AD, EPT and phacoemulsification level were found as the most significant factors that influence postoperative corneal edema.