Miracle-dz/UniFAR-FTUs huggingface dataset:
A Digital Communication Twin for Performance Prediction and Management of Bluetooth Mesh Networks

Bluetooth Mesh technology can be used to realize heterogeneous IoT networks, consisting of a smart lighting backbone augmented with sensor-based applications. It offers many configuration options to adhere to the diverse application requirements and limit the overhead. Finding an optimal configuration of the network is a complex issue which leads to numerous performance-related questions. In this paper, Digital Twin technology is used to provide continuous and diverse insights into the network's behavior, under monitored or artificial network conditions. The twin is constantly connected to the physical network and combines selective simulation, graph algorithms and a data driven link model into a single toolbox. We evaluated its usage for smart lighting applications on a real-life testbed. The results indicate that the twin can produce end-to-end (E2E) latencies, E2E path distributions and a packet delivery ratio comparable to experiment outcomes in the physical network and in compliance with application requirements. Statistical validation of the similarity between measured and predicted E2E latency distributions indicates a Mean Absolute Error < 10 % and a positive discrete Kolmogorov-Smirnov test for all results.
Modeling of Shape Memory Alloy Based on Hysteretic Nonlinear Theory

In this paper, a kind of SMA model based on hysteretic nonlinear theory was developed. Von del Pol nonlinear difference item was introduced to interpret the hysteresis phenomenon of strain-stress curve of SMA. The coupling relationship between strain and temperature was obtained in partial least-square regression method to describe the variation of stiffness with temperature. Based on above, the final relationship among strain, stress and temperature was set up. The result of significance test shows that the final model can describe the characteristics of SMA in different temperature well. The new SMA model broadens the region of temperature, and is easy to be analyzed in theory, which is helpful to application of SMA in engineering fields.
Evaluating Students' Behavioral Intentions Towards Ecotourism: an Extended Theory Of Planned Behavior Perspective

From an environmental standpoint, ecotourism has been drawn to attention by diverse communities all around the world. This empirical study aims to evaluate the behavioral intention of students by adopting an extended theory of planned behavior model by incorporating environmental concern and environmental knowledge from a developing country perspective. To get realistic output, structural equation modeling has been incorporated for systematic statistical analysis through using SMARTPLS 3.0, where data have been collected from 393 university students through a survey method. From an ecotourism point of view, a number of findings have been revealed in this study, such as students' attitude and perceived behavioral control have significant positive impacts on the behavioral intention towards ecotourism; results further proponed that environmental concerns have a significant effect on attitude, subjective norm, perceived behavioral control, and behavioral intention towards ecotourism, environmental knowledge had no significant effect on the behavioral intention towards ecotourism. Finally, it had a positive impact on attitude towards ecotourism, subjective norm, and perceived behavioral control. On the basis of constructive analysis, theoretical and practical implications are depicted in the form of a contribution of knowledge, which will add value to the decision-making process of various stakeholders.
The Effect of an Upstream Compressor on a Non-Axisymmetric S-Duct

This paper considers the effect of an upstream compressor stage on a compressor inter-spool duct. The duct geometry must be fixed early in the engine design process, well before the design of the upstream stages. It is therefore important that the designer has a good physical insight into how engine representative inlet conditions affect the limits of the duct design space. An experimental and computational investigation of two strutted inter-spool S-ducts was undertaken. Both were tested with and without an upstream stage present. The first duct is of a conventional axisymmetric design with a radius change to length ratio ΔR/L = 0.50. This duct is characteristic of the most extreme ducts considered in modern engine design. The second duct is of a non-axisymmetric design and is 20% shorter, ΔR/L = 0.625. This is well beyond the design limit of axi-symmetric strutted ducts. The paper shows that the presence of the upstream stage increases the duct loss by 54%. The rise in loss occurs on the hub wall and is the result of the incoming stator wakes pooling onto the hub wall, forming a row of contra-rotating streamwise vortex pairs adjacent to the hub wall. These vortices pump boundary layer fluid into the free stream, thus raising the mixing loss. In the non-axisymmetric duct an extra mechanism was observed. The streamwise vortex pairs act to ‘re-energise’ the boundary layer. This reduces strut secondary losses caused by the endwall contouring. The net result is that on the non-axisymmetric duct the presence of an upstream stage only increases the duct loss by 28%. Comparing the two ducts, it is shown that with engine representative inlet conditions, the conventional symmetric duct and 20% shorter non-axisymmetric duct have identical performance. This shows that low loss ducts can be designed which are significantly more extreme than current design limits.Copyright © 2010 by ASME
TWO-YEAR STORAGE STUDY WITH METHYL AND ETHYL ESTERS OF RAPESEED

Methyl and ethyl esters, prepared from various vegetable oils by the process of transesterification, have shown much promise as fuels for all types of diesel engines. Very limited information is available on possible deterioration of biodiesel in storage. This project was designed to determine the extent of deterioration of Rape Methyl Ester (RME) and Rape Ethyl Ester (REE) in storage. The study involved triplicate samples of RME and REE stored in glass and steel containers at room temperature (inside) and at the local ambient outdoor temperatures (outside). The study was conducted for 24 months. At the beginning of the study and at three-month intervals, samples were taken for measurement of peroxide value, acid value, density, viscosity, and heat of combustion. At the conclusion of the study, engine performance tests were conducted with the two year stored REE and RME, new REE and RME, and low sulfur diesel reference fuel. On the average, the esters increased over time in all of the previously mentioned properties with the exception of heat of combustion, which decreased. Regression models are presented to predict the deterioration with time. Engine power varied less than 2% for both Biodiesel fuels compared to the stored counterparts while smoke density decreased 3.2% for the stored RME and increased 17.5% for stored REE.
ADS-B System Failure Modes and Models

Automatic Dependent Surveillance Broadcast (ADS-B) is envisioned to support seamless aircraft surveillance and enhanced air-to-air and air-to-ground applications. ADS-B is an integrated system, dependent on on board navigation systems to obtain aircraft state information as well as a communication data link to broadcast this information to Air Traffic Control (ATC) on the ground and other ADS-B equipped aircraft. To quantify system safety, a good understanding of the potential failure modes of the system is vital. ADS-B system failure modes include those from the communication and navigation systems and human and environmental factors, as well as ADS-B-specific components. In this paper, potential failure modes of the ADS-B system are identified using an approach developed in this paper. The end output of the approach is an ADS-B failure mode register. However, the approach is transferable to other ATC surveillance systems. The paper further provides the failure classification and modelling, and also analyses the failure modes' impact on ATC operations and finally proposes potential mitigations. It is important to note that the work carried out in this paper is based on the assumption that the ADS-B operates as the primary surveillance source for the ATC.
The Various Effects of Technology Trade on the Sustainable Market Value of Firms in OECD Countries

This study explores the various effects of technology trade on the sustainable market value of firms in 36 OECD member countries using panel data estimations. To proxy technology trade activities, our study uses the technology export and import growths of intellectual property rights (IPRs). We suggest that technology imports, proxied by IPR imports, increase the market value of firms in our sample countries. The net technology imports (exports) are also positively (negatively) associated with the sustainable value of the firms. We use panel data regression to analyze the specific effects of the trade (i.e., imports and exports) of technology assets, proxied by IPRs, on the market value of firms proxied by country benchmark composite stock returns in 36 OECD member countries. For robustness, our study uses an instrumental variable estimation to check for the possible effects of endogeneity biases for the baseline results. System dynamic panel regressions further examine the effect of the dependent variable’s persistence. We find evidence of nonlinear effects for IPR exports and net IPR trade on the sustainable market value of firms. The positive effect of technology imports on the market value of firms is stronger at the lower and middle levels of the distribution of the firm value of stock returns, and this suggest heterogenous effects of technology trade across the quantiles. Overall, the empirical findings from our panel study suggest that the positive effects of technology trade for the market value of firms are due to the effect of its imports rather than exports.
Covert Information Mapped Spatial and Directional Modulation toward Secure Wireless Transmission

Recently, the concept of spatial and direction modulation (SDM) has been developed to reap the advantages of both spatial modulation (SM) and directional modulation (DM). On the one hand, DM ensures the transmission security at the expected direction. On the other hand, the structure of SM-aided distributed receivers can enhance the security even if the eavesdropper is located in the same direction as the legitimate receiver. However, the above advantages are achieved based on the assumption that the eavesdropper is not equipped with distributed receivers. On the other hand, the information security can no longer be guaranteed when the eavesdropper is also equipped with distributed receivers. To alleviate this problem, we considered a joint design of SDM and covert information mapping (CIM) in order to conceive of a more robust structure of CIM-SDM. Furthermore, both the detection performances at the eavesdropper and the legitimate user were quantified through theoretical derivation. In general, both the analysis and simulation results supported that the proposed CIM-SDM structure provides more robust secure performance compared to the original SDM, even if the extreme condition of distributed receivers at the eavesdropper is considered, at the cost of moderate performance loss at the legitimate user.
Clinicopathologic Presentation and Management of Malignant Orbito-ocular Tumors at a Tertiary Care Hospital in Nepal.

INTRODUCTION This study was conducted to evaluate the clinical presentations and management of various Orbito-ocular malignancies in Nepal. MATERIALS AND METHODS This is a prospective study of ocular malignant cases conducted at a tertiary care eye hospital in Kathmandu, Nepal. One hundred and seventeen newly diagnosed eyes with ocular malignancy of 106 patients presenting to the clinic in a year from September 2018 to August 2019 were included for analysis. Patients' demography, clinical features, various types of malignancies seen in eyes and their management were evaluated. RESULTS The mean age of patients was 30.35 years with a range from 1 month to 84 years and standard deviation of 26.63. 56% of the total were male. Red eyes and visible mass were the most common symptoms in 23% with intraocular contents in 48% being the most common site involved. Different types of ocular malignancies were detected, among which retinoblastoma was the most common in 38% of patients. Diagnosis in most patients was clinical and/or radiological; incision biopsy was required in 1.7% patients only. Surgical excision of the tumor was the most common treatment done in 29% followed by enucleation in 27% of eyes. Bilateral involvement of the eyes was seen in 10% of the patients. CONCLUSION Malignant orbito-ocular tumors can be seen in any age group. Retinoblastoma is the commonest malignancy seen. With the help of imaging, diagnosis is near accurate; hence biopsy is not required in most cases before commencing treatment.
Hybrid rhyolitic eruption at Big Glass Mountain, CA, USA

Eruptive dynamics of the 1060 CE rhyolitic eruption of Big Glass Mountain (BGM), USA, are investigated with field observations, hydrogen isotope and H2O content analysis of pyroclastic obsidian chips and lavas. Field relations at BGM reveal evidence for hybrid eruption, defined as synchronous explosive venting and effusive emplacement of vast obsidian lava flows. This activity is particularly well manifested by extensive breccia zones implanted within the BGM obsidian lavas, which may represent rafted tephra cones, in addition to remnants of airfall tephra on the lava. Rhyolitic obsidians collected from a 2.5-m-thick fall deposit and co-eruptive lava flow were studied by FTIR and TCEA methods to elucidate the eruption’s degassing history. The data, along with VolcDeGas program simulations, demonstrate a correlation between H2O content and H-isotopic composition (δD) that likely reflects ever-increasing amounts of volatile loss via repetitive close-system steps, best described as batched degassing.
EVALUATING USER SATISFACTION IN AN E-GOVERNMENT INITIATIVE: RESULTS OF STRUCTURAL EQUATION MODELING AND FOCUS GROUP DISCUSSIONS

A major domain of e-government research has been the examination of information delivery to citizens. These services involve communications and transactions between government, at various levels, and citizens. The rise of these services has led to a concurrent need to develop models of citizen satisfaction with e-governmental services. This research aims to contribute to this need by devising such a model—EGOVSAT —and using it to evaluate citizen satisfaction. This model includes various performance and emotional measures. To explore its applicability, the model is applied to online Advanced Transportation Information Systems (ATIS), a form of government-to-citizen online service delivery. This paper presents results of a statistical analysis of an online survey conducted to evaluate ATIS initiatives in Los Angeles (n = 155) and Minneapolis/St. Paul (n = 246). Using structural equation modeling, a highly statistically significant goodness-of-fit was found for the EGOVSAT model, which included 11 measures capturing three constructs ( utility, efficiency, customization ) as affecting four emotional dimensions ( confidence, pleasantness, frustration, satisfaction). These quantitative results were then supplemented with qualitative findings from three focus groups that were conducted with survey participants. The overall results suggest that there is value in utilizing a robust measure of citizen satisfaction, such as measured by EGOVSAT.
Design of a 45 $^{\circ}$ -Inclined SIW Resonant Series Slot Array Antenna for $Ka$ -Band

In this letter, a new type of resonant series slot array antenna for Ka-band for 45° linear polarization (LP) is described. Sixteen radiating slots, tilted at an angle of 45°, are separated by one-half guided wavelength due to use of the alternating inductive and capacitive load slot pairs. These alternating reactance slot pairs allow this novel antenna to achieve impedance matching, uniform field excitation, and suppression of grating lobes simultaneously. The antenna is designed and fabricated using substrate integrated waveguide (SIW) technology to overcome the drawbacks associated with conventional metallic waveguide antennas. The measured impedance bandwidth, maximum gain, and sidelobe levels are 2.7%, 15.64 dBi, and 15.36 dB, respectively, at the design frequency. The measured data are in agreement with the theoretical calculations and demonstrate the validity of the design technique for the proposed antenna structure.
Sustainable work and the ageing workforce

Socioeconomic conditions: Around 40% of women and 10% of men aged 55–59 work part time, a slightly higher number than among those aged 50–54. Among those over 50, 10% of men and 15% of women have fixed-term contracts, and a quarter have less than five years’ seniority in their current organisation. Feelings of job insecurity increase among women during their 40s and among men between 45–49 and 50–54.
The micro-politics of policy enactment in a multi-academy trust

ABSTRACT This article reports on research for The Literacy Policy project. The focus is the micro-politics of policy enactment, sited in the literacy policy of a multi-academy trust (MAT). A semi-structured interview was conducted with the CEO of a MAT to ascertain what literacy policy means to them. The contribution is to add to existing literature on the practice of MAT CEOs, using theories of micro-politics and the thinking tools of Bourdieu. Findings suggest that MAT CEOs may enact policies and structure their organisation in a way that reduces the opportunity for, but also monitors and utilises, micro-political activity by teachers and headteachers. This is driven by the pressures on MATs to expand in a highly performative environment and deliver curricular in a cost-effective way. This is important because it suggests that the UK government’s academies policy for schools in England does not necessarily deliver the promised levels of autonomy; and may lead to homogenised curricular for schools in disadvantaged areas where greater criticality is required.
Morphological Asymmetries Profile and the Difference between Low- and High-Performing Road Cyclists Using 3D Scanning

Simple Summary There is a necessity to measure body asymmetries in road cycling as it can directly impact the performance level. The present study aimed to identify the morphological asymmetry profile of road cyclists. This study uses a novel 3D scanning method and electrical bioimpedance to investigate the impact of possible morphological asymmetries on performance in road cycling. The findings indicate that high-performance road cyclists are more symmetrical and have fewer morphological asymmetries than low-performance road cyclists. Abstract The aims of this study are: (1) to identify morphological asymmetries in road cycling by using a novel 3D scanning method and electrical bioimpedance, (2) to investigate possible asymmetries in road cyclists of low (LPG) and high (HPG) performance group, (3) to compare the number of morphological asymmetries between HPG and LPG of cyclists, and (4) to explore correlations between asymmetry scores and competition performance. Body composition and 3D anthropometric measurements were conducted on 48 top-level male road cyclists (178.98 ± 5.39 cm; 68.37 ± 5.31 kg) divided into high (n = 22) and low (n = 26) performance groups. Competition performance (CP) is represented through racing points gathered at the end of the competition season. The latter was used to divide road cyclists into low- and high-performing groups. One-way ANOVA was used to determine differences between groups, while paired-samples T-test and Absolute Asymmetry index (AA) were calculated (p ≤ 0.05) for paired variables inside the groups, and the Spearman correlation coefficient was used to explore correlations between AA and CP. Results showed statistically significant differences between the left and right side of different body segments (16 paired variables) among low-performing road cyclists in five paired variables of the upper body: elbow girth (4.35, p = 0.000), forearm girth (6.31, p = 0.000), arm surface area (2.54, p = 0.018), and arm volume (2.71, p = 0.012); and six paired variables of the lower body: leg lean mass (5.85, p = 0.000), leg length (3.04, p = 0.005), knee girth (4.93, p = 0.000), calf girth (5.25, p = 0.000), leg surface area (4.03, p = 0.000), and leg volume (5.3, p = 0.000). Altogether, the high-performing group of road cyclists statistically differed only in 2 out of 16 paired variables of the upper body: elbow girth (4.93, p = 0.000) and in forearm girth (5.12, p = 0.000). Low- and high-performing groups were statistically significantly different in the asymmetry of leg lean mass F(1,46) = 6.25, p = 0.016 and asymmetry of the calf girth F(1,46) = 7.44, p = 0.009. AA of calf girth on the total sample (n = 48) showed a significant correlation with CP (r = −0.461; p = 0.001). In conclusion, the study’s main finding was that high-performance road cyclists are more symmetrical than the low-performance group, for which it is significant to have a higher amount of morphological asymmetries.
Large-Scale Open Pool Experimental Data and Analysis for Fire Model Validation and Development.

Four large-scale open pool fire experiments were performed with well-characterized boundary and initial conditions. Results presented include a general description of test observations, wind measurements, fire plume topology, fuel recession and heat release rates, incident heat flux to the pool, surrounding terrain, and calorimeters. All initial and boundary condition data required as necessary inputs to computation models are also presented. The large physical scale, the experimental design, the use of independent measurement techniques, and the attention to data quality provide a unique dataset to support numerical fire model validation.
A Zero-touch Network Service Management Approach using AI-enabled CDR Analysis

The detection of cells with sub-optimal performance and the identification of the root-cause of such performance is a crucial and challenging task in Network Performance Management (NPM). The contemporary NPM approaches, being reactive, silo-based, and highly expert-reliant, are not viable options for such tasks anymore, particularly in the emerging complex heterogeneous mobile networks. The state-of-the-art research in the field of data-driven Artificial Intelligence (AI) is a ray of hope for developing innovative solutions for such NPM tasks. However, the scarcity of holistic and detailed real network data limits the potential of this approach. In this study, we present a comprehensive AI-driven framework for the auto-diagnosis of cells with sub-optimal performance in a real network. We have explored and shared insight about an untapped comprehensive Call Detail Record (CDR) dataset from a real network operator. The outcome is anonymous and annotated data made public to encourage further research in this domain. We employ a K – means clustering method that exploits CDR data and domain experts’ input for the identification of particular types of cell performances. Next, a support vector machine-based classifier is developed for real-time applications which classifies the network nodes based on their performance with an accuracy of 97.69%. Subsequently, we introduce an algorithm that uses the classification results for the root-cause analysis of sub-optimal performance by leveraging network topography and area knowledge. The method succeeds in reaching the outcomes of an expert-led root-cause analysis and beyond. At the same time, the algorithmic approach limits the manual root-cause analysis to 30 possible scenarios per hour as opposed to analysis of 759 cells, thus it reduces the workload of an expert significantly. In the broad picture, the proposed AI framework lays the foundation towards zero-touch mobile network and service management starting with automated NPM and root-cause analysis.