Miracle-dz/UniFAR-FTUs huggingface dataset:
Synthetic evaluation of maintenance accessibility for complex equipment based on QFD and D-S theory

Definition of maintenance accessibility for complex equipment was presented because the existing definition could not reflect the characteristics of complex equipment.Based on the definition,the comprehensive evaluation method was established.Firstly,the evaluation index system for each component was set up by analyzing the relationships among accessibility requirements,the concrete accessibility requirements and technical measures based on Quality Function Deployment(QFD). Secondly,the evaluation level for each component was calculated by QFD,D-S theory and the degree of facilitation.Finally,the evaluation level of complex equipment was calculated after comprehensive analysis on the degree of importance and the maintenance frequency for each component.Feasibility of the proposed method was verified by a case study.
Determinants of Technological Innovation Adoption and Banking Operations of Selected Deposit Money Banks in Nigeria

Banks are one the most important financial institutions that contribute efficiently to the growth of any economy. The banking institutions have contributed significantly to the effectiveness of the entire financial system as they offer an efficient institutional mechanism through which resources can be mobilized and directed from less essential uses to more productive investment; yet, there have been challenges confronting deposit money banks in Nigeria in form of governance process control, risk management, compliance and consulting, financial reporting and fraud audit. Therefore, the study examined the determinants of technological innovation adoptions and their effects on banking operations of deposit money banks in Lagos, Nigeria.The research designs adopted for this study was survey research design. The target population used for this study was employees of the selected deposit money banks in Lagos State, Nigeria. The sample size for the study is 397 and simple random sampling technique was adopted for the study. The research instrument was questionnaire which was validated by the supervisor and the reliability was 0.843. The data for the study was analyzed using simple regression analysis.The study showed that technological innovations have significant effects on banking operations in selected deposit money banks in Lagos State, Nigeria. The finding also revealed that ease of use has significant effect on operational efficiency of deposit money banks in Lagos, Nigeria with Adj R2 = 0.698; F-Statistic (df = 4, 432) = 190.224 and p-value = 0.000. The study revealed that compatibility has significant effect on operational structure of deposit money banks in Lagos, Nigeria with Adj R2 = 0. 556; F-Statistics (df = 4, 432). = 499.656 and p-value = 0.000. The study concludes that investment in technology will bring an improvement in the operations of deposit money banks in Nigeria. It is however recommended that the government through CBN should provide adequate security measures towards the various e-banking products in Nigeria. This will aid in reducing the rate of fraud and forgery in the banking industry and encourage investors which in turn will increase the banks’ cash inflow cum use of available fund for granting of credit facilities.
We are MLA: a qualitative case study on the Medical Library Association's 2019 Communities Transition

Objective: In 2019, the Medical Library Association (MLA) adopted a new model of community governance and participation, referred to as the MLA Communities Transition. The Communities Transition was the culmination of long-ranging plans by MLA to support two of its strategic goals: diversity and inclusion, and communities. The reorganization aimed to strengthen MLA member communities, better support programming, reduce administrative overhead, and attract new members. The 2019–2020 MLA Rising Stars cohort was tasked to study the Communities Transition and identify lessons that might be applicable to any major future change proposed for the organization. Methods: A qualitative study was designed and conducted to investigate MLA member and leader perceptions of the change process, using John Kotter's eight steps for organizational change model as a framework. A set of fifteen open-ended questions was developed based on Kotter's model, and seventeen semistructured interviews were conducted to gather perceptions and feedback. Interview transcripts were analyzed using a grounded theory approach to explore and identify several themes across all discussions. Results: Four major themes were identified: communication between leadership and membership, leadership during the change process, membership investment in change, and instituting change and future recommendations. The study revealed strengths in the overall implementation and execution of the transition, but it also highlighted several perceived issues with communication and information sharing. Conclusions: Study findings were used to develop recommendations for improved communication strategies and for handling large-scale changes within the organization in the future.
Integration of Virtual Learning Environnements: the Impact of Students’ Trainings

Information and Communication Technologies (ICT) have widely spread during the last years. There are a huge number of tools available in everyday life as well as in the professional world. Everybody is now concerned by the use of these new tools. The educational community needs to adapt to this new context to become an active contributor in the expanding knowledge society. Moreover institutions have to adapt to meet expectations of the present generation of students, the net generation (Oblinger, 2005). These students have grown up with Information Technologies and use them on a daily basis. Higher Education institutions have to evolve to deal with this new challenge. In this paper we will focus on the policies for students. First we will briefly present the concept of ENT. In a second time, we shall describe the certification called C2i©. Finally, we will determine the way students' training may facilitate the integration of a VLE.
Depression and Metabolic Syndrome: A Narrative Review

We reviewed the literature to investigate the relationship between depression and metabolic syndrome. Major depressive disorder is characterized by a low mood or a loss of interest for longer than two weeks. Metabolic syndrome describes multiple metabolic risk factors including obesity, insulin resistance, dyslipidemia, and hypertension. We divided our findings into environmental, genetic, epigenetic, and biological pathway links between depression and the different aspects of metabolic syndrome. We found various sources linking obesity and metabolic syndrome genetically, environmentally, biological pathway-wise, and, while not fully explored, epigenetically. Diabetes and depression were also found to be linked environmentally with both conditions increasing the risk of the other. Depression was also shown to be linked to cardiovascular complications as it increased the risk of occurrence of such complications in healthy people. These findings have led us to believe that there is a link between depression and metabolic syndrome on various levels, especially obesity.
New Opportunity: Machine Learning for Polymer Materials Design and Discovery

Under the guidance of the material genome initiative (MGI), the use of data‐driven methods to discover new materials has become an innovation of materials science. The polymer materials have been one of the most important parts in materials science for the excellent physical and chemical properties as well as corresponding complex structures. Machine learning, as the core of data‐driven methods, has taken an important place in polymer materials design and discovery. In this review, the authors have introduced the applications of machine learning in the design and discovery of polymer materials. The development tendency of published papers about machine learning in polymer materials, the commonly used algorithms, the polymer descriptors, the workflow of machine learning in polymer materials, and recent progresses of machine learning in materials are summarized. Then, the detail of how to use machine learning to assist design and discovery of polymer materials is fully discussed combined with two cases. Finally, the opportunities and challenges on the future development prospects of machine learning in the field of polymer materials are proposed.
Optimum Generation Mix Possibilities for Malaysia Power Sector in 2030

This paper presents findings from optimization of a long-term generation mix for Malaysia electricity power supply using Dynamic Programming (DP) technique. The optimization is modelled to minimize the total costs as the objective function subjects to demand and policy constraints. Several technologies have been used for generation candidates such as coal, gas and nuclear. The model has been tested on a generation portfolio based on Malaysia power system. Result shows that a balance generation mix for Malaysia in 2030 will be 30% is from coal, 31.6% from gas, 17.5% from nuclear, 6.8% from hydro and 14% from RE.
Abortion, Science, and Morality in the Turnaway Study: New Perspectives for the Helping Professions

Among its guarantees of physical and mental well-being, a just and healthy society provides its people self-determination in reproduction. For women, control over reproduction is key to attaining well-being and equality with men, but the United States falls woefully below that ideal today, and the flashpoint of struggle for improvement is the availability of induced abortion. Despite the commonality of abortion in today’s America – at least one in four women will have had one in her lifetime (Jones & Jerman, 2017) – arguments about the procedure are as bitter as ever, and an ideological fog obscures crucial facts and concepts concerning abortion’s significance for women and their families.
Secure key issuing scheme in ID-based cryptography with revocable ID

ABSTRACT Recently security plays a crucial part throughout the communication framework. In the most recent decade, organizations have endeavored to move from a paper-concentrated environment to a sans paper environment where data security is one of the essential issues, and any weakness in this respect can have crushing impacts. Security implies the assurance of the data from any unauthorized access or manipulation through spying or scientific or probabilistic calculations and different strategies. For the security of information, researchers are doing more work on ID-based Cryptography (IDC). However, it has two limitations: one suffers from an inherent key escrow problem, and the second is how to revoke the misbehavior/compromised user. Tseng and Tsai have proposed a novel Revocable ID-Based Encryption (RIBE). Yet, they have not considered the key escrow problem. This paper proposed an approach in which secure key issuance is done only for non-revocable ID. This will reduce the key escrow problem as multiple entities rather than one Private Key Generator (PKG) issue the key. It will reduce the possibility of compromised PKG as the private key is cooperatively issued by PKG and multiple Key Privacy Authorities (KPAs).
Towards an Understanding of Grasping using a Multi-Sensing Approach

To gain a deeper understanding of human manual dexterity, we investigate an everyday manual interaction, recording hand kinematics, the involved forces and eyemovements. Using a multi-sensing approach we hope to develop a more complete understanding of what we have termed manual intelligence, with a view to enabling robots carry out complex tasks that we take for granted. A preliminary experiment was carried out which illuminated important aspects of manual intelligence such as where to look to find suitable grasping points, as well investigating differences in hand kinematics and the applied forces while carrying out a simple manual interaction.
Taking Love and Care Seriously: An Emergent Research Agenda for Remaking Worlds in the Wake of Violence

While research on armed conflict focuses primarily on violence and suffering, this article explores the practices of love and care that sit alongside these experiences of harm. Motivated by our omissions to pay sufficient attention to love and care in our research to date, we ask: How can centering practices of love and care illuminate different pathways for understanding the remaking of worlds in the wake of violence? Building on interdisciplinary literature, we conceptualize love and care as practices and potential sites of politics that shape how people survive and make sense of violence as well as imagine and enact lives in its wake. Drawing from our respective research in Colombia and Uganda, we argue that paying attention to love and care expands scholarly understandings of the sites associated with remaking a world, draws attention to the simultaneity of harms and care, sheds light on the textured meanings of politics and political work, and highlights ethical and narrative dilemmas regarding how to capture these political meanings without reducing their intricacies. For each of the pillars of our argument, we propose a set of questions and avenues that can shape emergent research agendas on taking love and care seriously in contexts of armed conflict.
Nano-Forensics a Comprehensive Review

Nanotechnology is making a valuable contribution in every field. It is a widely used technique because of its ability to manipulate and characterize the matter at a level of single atoms and small atoms [1]. The word “nano” is derived from the ancient Greek “Nanos,” meaning “dwarf,” which refers to the “billionth” or a factor of 10-9. In general, to understand 1nm is about 3-10 atoms wide. It is very tiny when compared with the standard size encountered day-to-day. E.g., 1nm is 1/1000th the width of human hair. Nanotechnology described the study aspect concerning the science, engineering, and technology conducted at a scale that ranges between 1 to 100 nanometers [2]. The potential of nanotechnology in electronics, diagnostics, biosensing, imaging, optical devices, and drug delivery due to their small size, large surface area, and enhanced reactivity [3-7]. Its multi-purpose application in almost every field has made it a universal purpose technology [2]. Therefore this universal technology has a plentiful of applications in the field of forensic science. Nano-Forensic, an exquisite blend of nanotechnology and forensic science, is entirely a novel discipline in forensic science. Nano-Forensic helps identify and examine evidence at the nanoscale level as earlier, it is impossible to analyze the critical evidence because of the instrument’s detection limit. With advancements in the techniques, Nano analysis is transforming the investigation process by making them more accurate, faster, and more sensitive [8,9]. Nano forensic and other technologies have significant fingerprint analysis applications, explosive detection, drug screening, toxic substance analysis, and DNA analysis [10,11]. This review would briefly update how nanotechnology is widely used in forensic analysis of evidence.
Rock Abundance on the Lunar Mare on Surfaces of Different Age: Implications for Regolith Evolution and Thickness

The growth of lunar regolith over time affects surface rock abundance, because larger, less frequent impacts are needed to penetrate thicker regolith developed on older surfaces and excavate rocks. On younger surfaces with thinner regolith, smaller, more frequent impacts are sufficient to excavate rocks. We quantify the correlation between observed rock abundances and age on the lunar surface by comparing Diviner rock abundance data to the surface ages of intercrater parts on the maria. Our observations show the expected negative correlation between age and rock abundance. The commonality of nonzero rock abundance values on ancient surfaces, combined with a simple Monte Carlo model of the rock excavation process, suggest that rocks reexcavated from the regolith volume contribute to the presently observed rock population on the lunar surface. The half‐life of meter‐scale surface rocks most consistent with our observations is 80 ± 20 Myr.
Automatic Detection of Java Cryptographic API Misuses: Are We There Yet?

The Java platform provides various cryptographic APIs to facilitate secure coding. However, correctly using these APIs is challenging for developers who lack cybersecurity training. Prior work shows that many developers misused APIs and consequently introduced vulnerabilities into their software. To eliminate such vulnerabilities, people created tools to detect and/or fix cryptographic API misuses. However, it is still unknown (1) how current tools are designed to detect cryptographic API misuses, (2) how effectively the tools work to locate API misuses, and (3) how developers perceive the usefulness of tools’ outputs. For this paper, we conducted an empirical study to investigate the research questions mentioned above. Specifically, we first conducted a literature survey on existing tools and compared their approach design from different angles. Then we applied six of the tools to three popularly used benchmarks to measure tools’ effectiveness of API-misuse detection. Next, we applied the tools to 200 Apache projects and sent 57 vulnerability reports to developers for their feedback. Our study revealed interesting phenomena. For instance, none of the six tools was found universally better than the others; however, CogniCrypt, CogniGuard, and Xanitizer outperformed SonarQube. More developers rejected tools’ reports than those who accepted reports (30 versus 9) due to their concerns on tools’ capabilities, the correctness of suggested fixes, and the exploitability of reported issues. This study reveals a significant gap between the state-of-the-art tools and developers’ expectations; it sheds light on future research in vulnerability detection.
A REVIEW ON THE CONSTITUTIVE MODEL FOR STATIC AND DYNAMIC DAMAGE OF CONCRETE

For the research on dynamic failure of major civil structures,constitutive modeling of concrete is one of its key scientific issues.The constitutive models of concrete subjected to static action or dynamic excitation are reviewed in the present paper.The knowledge and development of constitutive models is discussed based on its historical developments and logical relations.Damage model of concrete which has been developed in recent years is summarized at macro and micro levels.The development trends of constitutive modeling for concrete are suggested on the basis of our understanding of essential physical properties of concrete,e.g.its nonlinearity and randomness.
Multi-Market Bidding Behavior Analysis of Energy Storage System Based on Inverse Reinforcement Learning

The bidding behaviors of the energy storage systems (ESS) are complicated due to time coupling and market coupling limited by their capacity states. The existing research is mainly based on optimization models and reinforcement learning (RL) models, which are idealized with analytical objective functions, rational decisions, and virtual historical data. This leads to mismatches between theoretical results and actual bidding behaviors, and the obtained results cannot be generalized to a real-world market. In recent years, the disclosure of market data has enabled data-driven analysis, while the complexity of actual data makes the analysis process challenging and calls for more suitable methods. On the basis of our investigation of ESS bidding behaviors and market data, we propose a novel inverse RL (IRL)-based framework to identify the bidding decision objective function of ESS in coupled multi-market through their historical bidding records and operation status. The identification results can be used as the model parameters to help RL-based simulation models available for a real-world market. Based on the proposed framework, we conduct an empirical analysis on the real-world data of a battery ESS in the Australian electricity market. The results show how the ESS balances its objective among different markets and maintains its state of charge (SOC) to gain more profits. This framework can help us model ESS behaviors by relying on historical data to better understand the ESS bidding decision-making mechanism, which will facilitate market equilibrium analysis and mechanism design.
LC-MS-Based Lipidomic Analysis of Serum Samples from Patients with Type 2 Diabetes Mellitus (T2DM)

Background With the development of social economy, type 2 diabetes mellitus (T2DM) is becoming a severe health problem globally. Methods To systematically understand the lipid metabolism in T2DM, we applied untargeted lipidomics to the serum of T2DM patients and control group using ultrahigh-performance liquid chromatography (UHPLC) coupled with high-resolution mass spectrometry (MS). Results Over two thousand molecular features were detected by our approach, of which 222 lipid species in positive ion mode and 145 species in negative were reliably identified based on precise molecular weights and MS/MS patterns. Multivariate analysis was adopted to differentiate T2DM patients and the control group using principal component analysis (PCA) and orthogonal partial least squares discrimination analysis (OPLS-DA). The dysregulated lipid species were found and their significance in pathophysiology was discussed. Correlation analysis of selected lipids and important clinical variables was performed and addressed. Conclusions This study unveils several new lipids and pathways considerably involved in T2DM and provides novel insights into understanding the pathogenesis underlying T2DM.
Omnidirectional Panoramic Video System with Frame-by-frame Ultrafast Viewpoint Control

This study develops an omnidirectional panoramic video system that can simultaneously observe zoom-in images at dozens of different viewpoints in a 360-degree field of view by synchronizing hundreds of frames per second video shooting, with a rotation of tens-of-rotation-per-second mirror-rotator. When video shooting a scene with a certain exposure utilizing a mirror-rotator, apparent motion in the captured images becomes too large to observe non-blurred images, owing to its high-speed rotation. To reduce motion blurs caused by the rotation of a mirror-rotator, our system introduces an ultrafast pan-tilt mirror mechanism that can cancel apparent motion in images by executing frame-by-frame viewpoint control, so that the apparent speed in images becomes zero when the camera shutter is open, and it returns to its home position when the shutter is closed. Our system can capture 40 omnidirectionally different view images at 10 fps in real time by synchronizing 400-fps video shooting with frame-by-frame ultrafast pan-tilt mirror control for motion blur reduction when a mirror-rotator rotates at 10 rps. Its performance is verified by experimental results for several omnidirectional real scenes, and our system can capture clear and bright panoramic zoom-in images without decreasing the camera exposure when omnidirectionally observing dozens-of-meters-distance outdoor scenes.
Learning from Experience: Lessons from Community-based Engagement for Improving Participatory Marine Spatial Planning

ABSTRACT Marine spatial planning (MSP) is critiqued for inadequate stakeholder engagement practices, particularly for determining community-level interests. Community engagement is foundational to community planning, a local-level process in terrestrial planning. This study compared the community engagement experiences of practitioners in local and national-level organizations in Nova Scotia, Canada, likely to participate in MSP to participatory best practice principles identified in the terrestrial planning and environmental management literature. Giving more attention to knowledge and skills of local government and community groups could strengthen participatory practices in MSP, link community and marine planning, and increase the relevance of MSP for coastal community development.