Miracle-dz/UniFAR-FTUs huggingface dataset:
Surface Quality Experimental Study on Rotary Ultrasonic Machining of Honeycomb Composites with a Circular Knife Cutting Tool

Honeycomb composites (HCs) are diversely employed in aerospace, national defense and other fields owing to their remarkable spatial geometry and excellent mechanical properties. Their complex hexagonal cell structure and heterogeneous material properties cause major problems when implementing high-quality processing. Surface defects generated by processing will reduce the capability and service lifespan of the honeycomb sandwich structure. Therefore, the high quality of HCs is a topic of close attention for researchers. In this paper, the consequences of different cutting parameters of rotary ultrasonic machining (RUM) on surface quality with an ultrasonic circular knife (UCK) were studied through multiple groups of single-factor and orthogonal experiments with two-factors/four-levels and one-factor/three-levels. The single factor experiment was used to explain the effect that the degree of cutting parameters has on surface quality, and the orthogonal experiments were applied to explain the interaction between the processing parameters and the influence law of each factor on surface quality. Therefore, the reasonable cutting parameters of HCs were determined through experimental results to provide guidance for the realization of the precise and efficient machining of HCs. This study can provide a basis for the subsequent comprehensive consideration of various factors to achieve high-quality machining of HCs.
Adolescents’ Family Socioeconomic Status, Teacher–Student Interactions, and Career Ambivalence/Adaptability: A Three-Wave Longitudinal Study

Using three-wave longitudinal data, this study tested the potential mediating roles of teacher–student relationship quality and teachers’ career support efficacy in the association between Chinese adolescents’ family socioeconomic status (SES) and career development (N = 1410). Results showed that adolescents’ family SES at Wave 1 was negatively associated with their career ambivalence at Wave 3 via positive associations with both teacher–student relationship quality and teachers’ career support efficacy at Wave 2. Moreover, adolescents’ family SES at Wave 1 was positively related to career adaptability at Wave 3 via its positive association with teachers’ career support efficacy at Wave 2. This study highlighted the important role of teacher–student interaction in adolescents’ career development.
Weak fault feature extraction using adaptive chirp mode decomposition with sparsity index regrouping scheme and time-delayed feedback stochastic resonance

The failure features of rolling bearings are often weak due to the influence of strong background noise. In addition, the vibration signals of faulty rolling bearing often show nonlinear and non-stationary characteristics, and the conventional time-frequency method is no longer suitable for extracting effective fault features. In order to extract the early weak fault characteristics of rolling bearing accurately, a weak fault feature extraction method for rolling bearing by combining adaptive chirp mode decomposition (ACMD) based on sparsity index regrouping scheme with time-delayed feedback stochastic resonance (TDSR) is proposed in the paper. The proposed method comprehensively utilizes the adaptive decomposition characteristics of ACMD for multi-component non-stationary signals and the enhancement effect of TDFSR on low-frequency signals in the fast Fourier transform (FFT) result. Firstly, ACMD is used to decompose the early weak fault signal of rolling bearing into a series of mode signals, then the proposed signal regrouping scheme based on sparsity index is utilized to regroup the obtained series of modes. Secondly, the optimal reconstructed component containing the main fault information is input into the calculation model of TDSR. Finally, FFT is performed on the output signal of TDSR to extract the fault characteristics effectively.
Biodiesel Production from Alkali-Catalyzed Transesterification of Tamarindus indica Seed Oil and Optimization of Process Conditions

Biodiesel is considered a sustainable alternative to petro-diesel owing to several favorable characteristics. However, higher production costs, primarily due to the use of costly edible oils as raw materials, are a chief impediment to its pecuniary feasibility. Exploring non-edible oils as raw material for biodiesel is an attractive strategy that would address the economic constraints associated with biodiesel production. This research aims to optimize the reaction conditions for the production of biodiesel through an alkali-catalyzed transesterification of Tamarindus indica seed oil. The Taguchi method was applied to optimize performance parameters such as alcohol-to-oil molar ratio, catalyst amount, and reaction time. The fatty acid content of both oil and biodiesel was determined using gas chromatography. The optimized conditions of alcohol-to-oil molar ratio (6:1), catalyst (1.5% w/w), and reaction time 1 h afforded biodiesel with 93.5% yield. The most considerable contribution came from the molar ratio of alcohol to oil (75.9%) followed by the amount of catalyst (20.7%). In another case, alcohol to oil molar ratio (9:1), catalyst (1.5% w/w) and reaction time 1.5 h afforded biodiesel 82.5% yield. The fuel properties of Tamarindus indica methyl esters produced under ideal conditions were within ASTM D6751 biodiesel specified limits. Findings of the study indicate that Tamarindus indica may be chosen as a prospective and viable option for large-scale production of biodiesel, making it a substitute for petro-diesel.
Learning Relationship-Based Access Control Policies from Black-Box Systems

Access control policies are crucial in securing data in information systems. Unfortunately, often times, such policies are poorly documented, and gaps between their specification and implementation prevent the system users, and even its developers, from understanding the overall enforced policy of a system. To tackle this problem, we propose the first of its kind systematic approach for learning the enforced authorizations from a target system by interacting with and observing it as a black box. The black-box view of the target system provides the advantage of learning its overall access control policy without dealing with its internal design complexities. Furthermore, compared to the previous literature on policy mining and policy inference, we avoid exhaustive exploration of the authorization space by minimizing our observations. We focus on learning relationship-based access control (ReBAC) policy, and show how we can construct a deterministic finite automaton (DFA) to formally characterize such an enforced policy. We theoretically analyze our proposed learning approach by studying its termination, correctness, and complexity. Furthermore, we conduct extensive experimental analysis based on realistic application scenarios to establish its cost, quality of learning, and scalability in practice.
ENHANCEMENT OF HEAT TRANSFER FROM PLATE FIN HEAT SINKS

Heat Sinks are an extremely useful component used to lower the maximum temperature of various electronic devices during operation so as to increase their thermal efficiency and performance. Fins constitute an important and integral component of sinks. It is a passive cooling technique. Plate fin heat sinks are used in varied applications owing to its low manufacturing cost, ease of manufacture and its economical way to dissipate unwanted heat. Steady state natural convection is experimentally investigated for 03 sets of vertically mounted fin heat sinks.Aluminium is used because of its high conductivity. Length and fin thickness is kept constant at 100 mm and 05 mm respectively. Fin height is successively increased as 05mm, 15mm, 25mm.Aspect Ratio for above three sets is thus 0.05, 0.15 and 0.25 respectively. Effect of varying height, heat input and aspect ratio, keeping length constant is investigated on heat transfer through the sinks.
Interfacially Enhanced Stability and Electrochemical Properties of C/SiOx Nanocomposite Lithium‐Ion Battery Anodes

Silica is a promising anode material for high‐energy lithium‐ion batteries (LIBs), but it suffers from several problems. The main issue is low electrical conductivity, which limits its practical applications. Fabricating silica–carbon nanocomposites (C/SiO2) can significantly enhance the electrochemical performance of these materials. In this work, the authors perform first principles calculations to investigate the interfacial properties and electronic structure between carbon and small Si‐based molecules. The simulations suggest that C/SiO2 and C/SiO interfaces facilitate the lithiation process, providing additional lithium storage pathways in addition to the typical phase transitions of SiO2 and SiO. In addition, a simple production and ready to scale‐up method is proposed to fabricate a nanocomposite possessing rich C/SiOx (1 ≤ x ≤ 2) interfaces. The resulting nanocomposite anode has a stable capacity of ~650 mAh g‐1 at a current density of 1 A g‐1 after 1500 cycles with >95% capacity retention. This work provides a better understanding of the Li ion storage mechanisms of C/SiOx. Adding carbon not only increases electrical conductivity and strength, but also provides new pathways for Li‐ion transport through their interfaces contributing to the enhanced stability and electrochemical properties of inexpensive non‐conducting/oxide‐based energy storage materials.
The Effectiveness of Educational Media in Controlling Ergonomic and Psychological Hazards during Work from Home for Lecturers

Introduction: The number of confirmed cases of COVID-19 continues to increase, so most of the workers in all work sectors are changing to a WFH system. WFH has several impacts related to mental health and musculoskeletal complaints. Therefore, it is necessary to develop educational media for workers who carry out working from home including lecturers. Therefore, this research was conducted with the aim of knowing the relationship between the assessment of the effectiveness of educational media and the increase in knowledge about the ergonomic and psychological hazards during working from home and their control. Methods: This research was an observational study with a cross-sectional study design. The data analysis method used was descriptive semi-quantitative. The population of this research was lecturers in Indonesia. The number of samples using accidental sampling and total sampling was 111 respondents. This research used valid and reliable pre-test and post-test to assess the effectiveness of educational media. Data were analyzed using a paired samples correlation test and Spearman test. Results: There was a significant difference between the results of the pre-test and post-test. In addition, there was a relationship between the assessment of the effectiveness of educational media and changes in post-test scores where for booklet media there was a strong relationship and for video educational media, there was a medium relationship. Conclusion: Based on the results, it can be concluded that there was a relationship between the assessment of the effectiveness of educational media on ergonomic and psychological hazards control during WFH and the increase in knowledge of lecturers in 2021. Keywords: ergonomic hazard, psychology hazard, educational media
State Higher Education Funding During COVID-19: Lessons From Prior Recessions and Implications for Equity

States provide substantial support for higher education through appropriations to public colleges and universities that can be used to maintain relatively low tuition levels and funds for financial aid. Higher education often receives disproportionate cuts during recessionary periods, and it faces potentially unprecedented reductions in coming years amid a pandemic that has left some states with revenue shortfalls. How states approach higher education cuts has the potential to exacerbate existing inequities among racially minoritized and low-income students and historically underfunded institution types. In this study, we document trends in higher education funding over time and use latent profile analysis to identify distinct approaches states have taken to higher education funding. We then examine the trajectories of higher education funding within each approach over time, particularly during prior recessions. We conclude by discussing the implications of each approach for equity, particularly in light of states’ early responses to the current economic downturn.
Agility Areas of Action in Finance IT - A Memorandum

Getting an organization to a sustainable level of agility in order to cope better with digitization is a transformation in its own right, which touches upon many areas. From the viewpoint of an IT department, we regard these five dimensions as paramount to improve towards increased agility: stakeholders, culture, spaces, IT architecture & processes, and employees. Typically IT departments place a high priority on IT architecture and processes. This is displayed in initiatives such as establishing "agile" delivery process models like Scrum or the evaluation of cloud computing architecture. But organizational infrastructure is equally important, of which physical spaces are direct manifestations. In many organizations we observed how effective it is to design working spaces consciously - despite a proliferation of outsourcing. Regarding any change initiative through the lens of the organization's cultural fabric helps in tailoring and setting realistic roadmaps. Finally, with an increase of digital touchpoints, customers and value chain partners come into direct contact with a financial organization's IT assets and capabilities, which also mandates different skills than in previous times. In summary, we develop the following four overarching ideas within this report: 1. Agility is more than Scrum: An agile company habitually scans the environment, interprets incoming signals, acts upon decisions, and moves faster than the competition. While Scrum, XP, and other "agile" delivery approaches incorporate these four defining components of agility, there is much more that IT departments can do to become agile. We regard stakeholders, culture, spaces, IT architecture & processes, and employees as crucial agility areas of action. 2. Engage with your stakeholders: Companies increasingly rely on external value chain partners to offer great services and to run their business processes efficiently. What is more, employees demand consumergrade simplicity for the tools they use. And finally, your customers expect powerful software and capabilities that previously were confined to a select few. Truly engage with your stakeholders and open up your IT systems to cope with this new reality. 3. Any change runs deep and needs space: Putting desks on wheels does not make your workforce more agile. To instil sustainable agility - that is, to become more outside-oriented and structurally flexible - you need to understand the organizational culture and tackle strategies, goals, norms, and rules associated with it. Still, networked businesses that draw from constantly changing resources from within and outside, need effective physical working spaces more than ever. 4. Invest in infrastructure and people: Systems delivery and operations is the home turf of any IT department. Shamelessly copy from leading cloud providers when streamlining your IT architecture, and confidently capitalize on the wisdom of your employees when redesigning your technology stack and processes for increased agility. Also, invest in your people and listen to their needs.
Thermo-Hydro-Mechanical modeling of EGS using COMSOL Multiphysics

We investigated the occurrence of induced seismicity during operations of EGS (Enhanced Geothermal Systems) with a focus on the thermal effects. To this end we employed a finite element model with a full coupling of mechanics, flow and temperature. It became clear that the thermal effects play a crucial role in the development of injectivity, and thus should be taken into account in the operational design. The thermal effects are not limited to the time of injection but persist during shutin. Especially boundaries with large permeability contrasts are important as they generate large temperature gradients which slowly level due to thermal diffusion. Furthermore, our work focused on the incorporation of seismicity. We derived a seismicity model starting from basic physical processes and we developed a fully coupled thermo-hydro-mechanical model for seismicity from the fundamental physics. The seismic model includes frictional weakening and healing, inspired by current rate-and-state-friction models. With our model the estimated seismicity is realistic and that the events of larger magnitudes are included. A quantitative comparison with field test results is still beyond the reach of our simplified model.
Control of stick-slip vibrations in drilling systems

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A 9b Quasi-Pipeline DAC for Small-Format LCD Column Drivers

This paper proposes a 9b quasi-pipeline DACs and column multiplex techniques for small-format LCD column drivers. The DAC provides uniform channel performance, built-in gamma correction through nonlinear global resistor string values, and occupies a smaller column driver size. The maximum DNL and INL were measured as 0.25 LSB and 0.33 LSB, respectively. The averaged data conversion time is 16 ns per channel. The FoM of the proposed DAC is 0.2 pJ/bit/mm 2 , which is smaller than that of prior arts.
Prevalence of Chronic Obstructive Pulmonary Disease and Chronic Bronchitis Among Predominantly Smoking Workers in the Seafood Industry in Greenland

Introduction For decades, the prevalence of smoking has been high in Greenland. Even so, the prevalence of chronic obstructive pulmonary disease (COPD), a smoking-related disease, remains largely unexplored. This cross-sectional study aimed to estimate the prevalence of COPD and chronic bronchitis (CB) among Inuit workers in the seafood industry in Greenland. Methods A total of 355 participants, 254 males and 101 females, met the inclusion criteria. Participants had a mean age of 38 years (standard deviation 13.5; range 17–68 years). COPD was diagnosed based on post-bronchodilator ratio between forced expiratory volume within one second and forced vital capacity (FEV1/FVC) below the lower limit of normal (LLN) according to the Global Lung Function Initiative. Participants completed a questionnaire aiming to diagnose CB. Results The overall prevalence was 9.9% for COPD; 7.4% for CB. Participants were predominantly smokers; 73.2% active smokers, 91.8% active or former smokers. The prevalence of COPD was high, especially among those under 40 years of age. Both COPD and CB were associated with smoking status. Discussion This study among Greenlandic seafood workers found that smoking was a risk factor for COPD and CB among Greenlanders of Inuit origin. The high prevalence of COPD and the high prevalence of smoking underlines the importance of further initiatives to reduce smoking in Greenland.
Arabic Generation in the Framework of the Universal Networking Language

This paper describes the work done on the developing of Arabic De- conversion within the framework of the Universal Networking Language (UNL). In this paper, the architecture of the system is explained along with the strategy used for the development. We also discuss issues and problems related to the UNL representation that affect the quality of generation. Additionally, the lingware engineering is introduced as a technique to enhance the quality and in- crease the development efficiency.
The Effect of Reading & Writing Literacy Awareness Elementary Education Teachers on the Reading and Writing Literacy Ability of High-Grade Students

The background of this research is the low reading literacy ability of high grade students in Banjarmasin. The low reading ability is thought to have an effect on student achievement. This is indicated by the results of student learning achievement which is still low. The aims of the study were; 1) to determine the reading literacy ability; 2) to determine the level of learning achievement; and 3) to determine the effect of reading literacy ability on the learning achievement of high-class students in Banjarmasin. The research design used survey quantitative research with research samples of high-class students in Banjarmasin. Data analysis using simple linear regression test. The results showed that; 1) students' reading literacy ability was quite adequate at 67.53%; 2) student learning achievement was classified as very good at 81%; and 3) there was a significant effect of 5.4% between reading literacy ability and achievement student learning.
Vision-Based Nonlinear Incremental Control for a Morphing Wing With Mechanical Imperfections

Morphing structures have acquired much attention in the aerospace community because they enable an aircraft to actively adapt its shape during flight, leading to fewer emissions and fuel consumption. Researchers have designed, manufactured, and tested a morphing wing named SmartX-Alpha, which can actively alleviate loads while achieving the optimal lift distribution. However, the widely existing mechanical imperfections can degrade the performance of the morphing wing and even lead to instabilities. To tackle these issues, this article proposes a vision-based adaptive control approach to actively compensate for mechanical imperfections. In this approach, an incremental model is constructed online to identify the system dynamics using servo commands and vision measurements, and then, nonlinear dynamic inversion control is applied based on the identified model. This data-driven control approach with visual feedback has been validated by real-world experiments on the SmartX-Alpha. The results demonstrate that the vision-based system combined with the proposed control methodology can actively compensate for mechanical imperfections with minimal adjustments to the actual system design. Compared to a controller that only uses a feedforward input-output mapping, this proposed approach improves the system performance and decreases the tracking errors by more than 62% despite disturbances. The results collectively demonstrate the effectiveness of the proposed control system, which sets a foundation for realizing morphing in next-generation aircraft.