Miracle-dz/UniFAR-FTUs huggingface dataset:
Temporal Changes of Transit-Induced Gentrification: A Forty-Year Experience in Tokyo, Japan

This article proposes an inverted U-curve theory to represent the changes in transit-induced gentrification with increases in mass rapid transit (MRT) station density over time. A forty-year experience on the associations of proximity to MRT stations with college graduate ratios in Tokyo, Japan, was applied to test this theory using the spatial data of MRT stations and population censuses from 1970 to 2010. The college graduate ratio in a neighborhood was adopted to measure gentrification outcome and denoted a phenomenon of early-stage gentrification. Applying a geographic information system and regression methods, empirical results provide long-term evidence of transit-induced gentrification, indicate the critical role of MRT station density in gentrification, and support the inverted U-curve theory. The transit-induced gentrification levels initially increase and then decrease as MRT station densities increase over time. This trend is affected by the MRT station density, macroeconomic environment, and state policy. This research helps to further the understanding of temporal changes in transit-induced gentrification. The inverted U-curve theory needs further tests in cities operating historical MRT systems to verify its global applicability.
Solar Dryer with Integrated Energy Unit

The work is devoted to the issue of the rational use of the solar energy in the technological process of fruit drying based on the use of solar drying devices, which are applied in various sections of the agro-industrial centers of Ukraine. The aim of this research was intensification of the fruits drying process using the solar energy by combining an air collector and drying chamber into a single power unit. To achieve the aim the heat exchange diagnostic techniques with alternative potentials of diffusion and moisture transfer was developed. This technique differs from those existing for the heat exchange research in that it allows the intensity of the moisture evaporation from a unit of the material surface to be calculated, based on the synthesis of the moisture content and the irreversible major laws of processes of the heat exchange characteristics of the fruits drying using the solar dryer. The above model makes it possible to diagnose the heat exchange processes and analyze the mathematical model of the heat exchange processes. It also allows modeling the changeable diffusion and moisture transfer potentials based on the dependences obtained and for the purpose of a further application in the methods and devices development to control the strain-deformed state of the fruits during the drying process. The method is offered for the calculation of diffusion and moisture transfer during drying fruits in the solar dryer.
Continuous digital zooming using generative adversarial networks for dual camera system

This paper presents a generative adversarial network (GAN) with patch match algorithm to realize a high-quality digital zooming using two camera modules with different focal lengths. In dual camera system, shorter focal length module produces the wide-view image with the low resolution. On the other hand, the longer focal length module produces the tele-view image via optical zooming. The long-focal image contains more details than short-focal image and can be used to guide short-focal image to reconstruct high frequency part. Firstly, a feature extraction block (FEB) is advanced to extract feature of long-focal image and short focal-image to reconstruct a wide-view image with different resolutions. Next, a patch match algorithm is integrated into convolution neural networks (CNN) to fuse information of long-focal with short-focal image and generate a new fused image. Finally, the fused image and short-focal image are merged with a feature fusion block (FFB) to predict high-resolution images. In addition, generative adversarial networks are used for ﬁltering information integrated by previous network and output the zoomed image. Extensive experiments on benchmark datasets show that our algorithm achieves favorable performance against state-of-the-art methods.
Determination of deviatoric elastic strain and lattice orientation by applying digital image correlation to Laue microdiffraction images: the enhanced Laue-DIC method

A new method of determining the deviatoric elastic strain and lattice orientation from Laue microdiffraction images is presented. Standard data treatment methods can suffer from the difficulty of precisely pinpointing the positions of diffraction peaks on two-dimensional Laue images. In a previous article, digital image correlation (DIC) was introduced for the treatment of Laue images, leading to the so-called Laue-DIC method. This performed better than the standard method in terms of the deviatoric elastic strain increment and relative rotation from one lattice to another, particularly when the shape of the Laue spots departs from regular ellipsoids. The present work intends to push forward the Laue-DIC method, aiming to determine the deviatoric elastic strain and lattice orientation, as well as the calibration parameters. The performance of this new method, named enhanced Laue-DIC, is assessed by modeling the spot displacements and accounting for random fluctuations relevant for typical experimental conditions. When the enhanced Laue-DIC method is applied to the case of an in situ deformed Si crystal, the obtained standard deviation of local stress is of the order of 1-2 MPa, while the calibration parameters are optimized to high accuracy.
Raman spectroscopy of nickel molybdate and its modifications

Abstract While using hydrothermal method we obtained nanocrystal nickel molybdate hydrate (NiMoO4). Its further calcination at 400 °C enabled us to obtain α-phase of NiMoO4 hydrate. The modification of physical and chemical properties of prepared NiMoO4 hydrate was being done with the aid of powerful laser radiation with the further composite formation on its basis. We have established the interconnection of vibrational modes of triclinic and monoclinic structures of nickel molybdates with corresponding bands in Raman spectra. We established that registered intensive bands with maximum 947, 870, 828, and 354 cm−1 correspond to vibrational modes of МоО4 tetrahedrons of NiMoO4 hydrates, while intensive bands with maximum 960, 912, and 706 cm−1 in α-NiMoO4 correspond to stretching vibrational modes in Мo–О and О–Мo–О, bending modes О–Мo–О connections in MoO6 octahedron.
A first exploration of perceived pros and cons of quantitative gait analysis in equine clinical practice

Summary Background: Quantitative gait analysis is rapidly gaining ground in equine practice, and pros and cons are regularly discussed within the scienti ﬁ c literature. However, no data exist on the appreciation of the technique by equine clinicians, their motivation to use it or not, and their perception of its value in daily practice. Objectives: To make a ﬁ rst inventory of opinions, expectances and experiences of equine veterinarians concerning the use of quantitative gait analysis in their daily general practice. Study design: Survey. Methods: A questionnaire was sent out to a group of equine orthopaedic clinicians working in an equine clinic or practice. Respondents were classi ﬁ ed as users (having clinical experience with quantitative gait analysis) or not (nonusers). Data were analysed using descriptive statistics. Results: Within the sample population, users were more positive about the usefulness of quantitative gait analysis than nonusers. Veterinarians who purchased a system were motivated by better objectivity, transparency, documentation and client service. Main reasons not to purchase a system were costs and complexity of data interpretation. A minority of both users and nonusers deemed quantitative gait analysis also suitable for equine professionals other than veterinarians. allow for generalisation of results. Conclusions: Users of quantitative gait analysis were more positive about the technology than nonusers. More data are needed to allow for generalisation of the results. Regularly repeating this survey may help in monitoring, and eventually guiding the process of integration of gait analysis technology within equine clinical practice by providing valuable information for individual clinics, educational institutions and the industry producing this technology.
Petroleum endowment and economic growth: examination of the resource curse phenomenon

ABSTRACT This paper examines the impact of oil resources endowment, measured by proven reserves and oil rents, on the economic growth in the presence of quality of governance factors. To address this issue, we first summarize the previous research by reviewing, from the economic literature, the main explanations of what many regard as ‘curse’ of petroleum resource and, in a larger context, evoke the different relationships between natural resources and economic growth. Then, a panel data econometric model is fitted to a dataset consisting of 40 countries and sampled over a period of 17 years. The empirical results confirm, on one hand, the main hypothesis that proven oil resources negatively explain the economic growth. On the other hand, it is shown that oils rents are slightly positively correlated to the economic growth. The manipulation of the set of explanatory variables in the model does not change this overall negative correlation between growth and petroleum endowment, thus proving the counter-intuitive assumption that oil wealth limits the opportunities for economic growth. The results also confirm the old hypothesis that natural resources are negatively correlated to the countries’ GDP through the quality of their economic and financial institutions.
The dynamics of households’ adoption behaviour of solar home systems (SHSS) in Ashongman Estate in the Greater Accra Region of Ghana

Ghana heavily relies on hydrogenated and thermal electricity. For the past thirteen years, the dynamics of climate change and increasing fuel prices have engendered an electricity crisis since the supply of electricity cannot match the ever-burgeoning demand from households and industries. While this is so, the uptake of renewable energy sources has been abysmal in Ghana. This study thus seeks to assess the adoption behaviour of solar home systems, an environmentally friendly and convenient alternative electricity source by households in Ashongman Estate, a suburb of Accra, Ghana. Using a mixed research approach including binary logistic regression analysis, the study found that education, income levels, the performance expectation and housing tenure arrangements were crucial factors that determine the willingness of households to adopt the solar energy sources. We recommend that to encourage the uptake of Solar Home Systems (SHSs) which are environmentally sustainable, it is expedient that government collaborates with relevant stakeholders to provide solar home systems (SHSs)for households with the necessary technical capacity while putting financial policy measures in place to ensure their affordability regardless of socio-economic status. In addition, we recommend further studies to explore the role of incentives in solar home systems adoption to inform policies that will encourage their uptake.
Drought monitoring in Ceyhan Basin, Turkey

Various drought indices are utilized to monitor and detect drought and its probable effects. Hydro-climate parameters, including rainfall, temperature and soil moisture, are important in identifying drought phenomena. In this study, 10 notable indices (SPI, SPEI, scPDSI, CZI, MCZI, RAI, RDI, DI, PNI and ZI) have been employed to monitor drought events in the Ceyhan Basin, Turkey. The applicability of these indices and their performances corresponding to historical droughts were examined by employing eight meteorological stations. Apart from the scPDSI, other indices have shown a strong correlation for 1-month time scale, and at different time scales of 3, 6, 9 and 12 months, only the correlation between the SPI, SPEI and RDI was observed to be high. While the SPI, SPEI and RDI have demonstrated a strong correlation in perceiving drought severity categories for 1-month time scale, for longer time scales the correlation of the SPEI with the other two indices was low.
VIRTUAL LEARNING PLATFORM IN ARCHITECTURE DESIGN STUDIO FOR MAINTAINING AUTONOMY AND AUTHORITY

This paper highlights a strategy for design studio learning due to the restriction during the COVID-19 pandemic that requires an immediate change from physical, face-to-face learning to virtual, online learning. The study examines how creative design and knowledge construction could be monitored throughout the learning process in the virtual studio. The study reflects upon the autonomy and authority of students and tutors, respectively, as they utilise a particular platform for virtual learning. The virtual communication platform becomes the media to accommodate reflection, peer learning, benchmarking and constructive feedback as essential parts of design learning. The study argues that it is essential to establish a strategy to balance the tutor’s space in maintaining their authority and the students’ space in building their autonomy as a design learner in the virtual studio environment.
Simultaneous on-line FTIR measurements of multicomponent pollutants in wet gas mixtures

An on-line quantitative analysis method was developed using FTIR to simultaneously measure NO,SO2,NH3,NO2 and N2O in wet gas mixtures for simultaneous SO2 and NOx control experiments.The calibrated range for each component covers the typical concentration ranges commonly observed in laboratory-scale flue gas desulfurization and denitrification analyses.Experimental results show that accurate concentrations of NO,SO2,NH3,NO2 and N2O in wet gas mixtures can be simultaneously measured on-line by appropriately selecting the sampling parameters and the analysis parameters of this method.The accuracy of a single gas component measurement in the absence of H2O is estimated to be ±2%,with the NO measurement accuracy not reduced in gas mixtures with 5% H2O.The simultaneous measurement accuracies of NO,SO2,and NH3 are ±2%,±3%,and ±3%,respectively,in the presence of 5% H2O and 14% CO2.
Review and Analysis of Blood Glucose (BG) Models for Type 1 Diabetic Patients

Blood glucose (BG) regulation in type 1 diabetic patients has been investigated by researchers for a long time. Many mathematical models mimicking the physiological behavior of diabetic patients have been developed to predict BG variations. Models characterizing meal absorption and physical activities have also been developed in the literature, as they play a significant role in altering BG levels. Hence, existing glucose-insulin dynamic models dating back from early 1960s are reviewed along with an overview of meal absorption and exercise effect models. The available knowledge-driven BG models have been classified into different families based on their origin for development. Also, five knowledge-driven BG models (with at least one model from a family) have been analyzed by either varying basal insulin or meal ingestion. The available meal absorption models have also been simulated to compare and analyze them for different meal sizes. The major objective of the analysis is to study the BG dynamics of dif.
Ergodicity of Continuous-Time Distributed Averaging Dynamics: A Spanning Directed Rooted Tree Approach

In this article, we consider time-varying distributed averaging dynamics. Motivated by a necessary condition on the ergodicity, we provide a sufficient condition for the ergodicity of such dynamics. We show that if groups of agents are connected using a directed acyclic graph containing a spanning directed rooted tree and the averaging dynamics restricted to each group is <inline-formula><tex-math notation="LaTeX">$\mathcal {P}^*$</tex-math></inline-formula>, then the dynamics over the whole network is ergodic. In particular, this provides a general condition for convergence of consensus dynamics where <italic/>groups<italic/> of agents capable of reaching consensus follow each other on a time-varying network.
Corrosion Behavior of FeB-30 wt.% Al0.25FeNiCoCr Cermet Coating in Liquid Zinc

The corrosion of galvanizing equipment parts by liquid zinc is an urgent problem that needs solving. In this work, FeB-30 wt. % Al0.25FeNiCoCr cermet coating was deposited on the surface of 316L stainless steel by AC-HVAF to protect galvanizing equipment parts from corrosion by liquid zinc. The microstructures and phase compositions of powders and the coating were determined by SEM, EDS, and XRD in detail. Additionally, the microhardness, fracture toughness, abrasion wear resistance, and corrosion resistance of the coating to liquid zinc were also studied. The results indicate that the abrasion wear resistance and corrosion resistance of the coating are much better than that of the 316L stainless steel substrate. The failure of the coating in liquid zinc is mainly due to the penetration of liquid zinc into macro-cracks, which causes the coating to peel off.
Sisterly advice for feminists in academia when playing the game and working the cracks

ABSTRACT This paper introduces a set of workarounds for early-career feminist academics. Successful senior women academics in feminist and other critical disciplines were asked about their experiences within the academic system, how they thrived in the neoliberal academy while practicing feminist scholarship and activism. They revealed how they paid the price for unmasking the rules of the game and working the cracks within the system. Based on their experiences the new generation of feminist activists in academia is encouraged to B-E-L-I-E-F. Altogether, the findings reveal that gender and feminist commitment add to the complexities of academic career making, and while the suggested workarounds will not bring instant revolutionary change, they can help academic activists thrive and create change through feminist scholarship and activism.
Multi-Input Nonlinear Programming Based Deterministic Optimization Framework for Evaluating Microgrids with Optimal Renewable-Storage Energy Mix

Integration of renewable energy sources (RES) in a distribution network facilities the establishment of sustainable power systems. Concurrently, the incorporation of energy storage system (ESS) plays a pivotal role to maintain the economical significance as well as mitigates the technical liabilities associated with uncontrollable and fluctuating renewable output power. Nevertheless, ESS technologies require additional investments that imposes a techno-economic challenge of selection, allocation and sizing to ensure a reliable power system that is operationally optimized with reduced cost. In this paper, a deterministic cost-optimization framework is presented based on a multi-input nonlinear programming to optimally solve the sizing and allocation problem. The optimization is performed to obviate the demand-generation mismatch, that is violated with the introduction of variable renewable energy sources. The proposed optimization method is tested and validated on an IEEE 24-bus network integrated with solar and wind energy sources. The deterministic approach is solved using GAMS optimization software considering the system data of one year. Based on the optimization framework, the study also presents various different scenarios of renewable energy mix in combination with advanced ESS technologies to outline an technical as well as economical framework for ESS sizing, allocation, and selection. Based on the optimal results obtained, the optimal sizing and allocation were obtained for lead-acid, lithium-ion, nickel-cadmium and sodium-sulfur (NaS) battery energy storage system. While all these storage technologies mitigated the demand-generation mismatch with optimal size and location. However, the NaS storage technology was found to be the best among the given storage technologies for the given system minimum possible cost. Furthermore, it was observed that the cost of hybrid wind-solar mix system results in the lowest overall cost.
Religiosity and Immanent Justice Reasoning: A Replication Study in Japan and the U.S.

Previous studies have investigated the importance of religiosity in enhancing peopleʼs justice reasoning, yet the findings have been limited to the Western culture, where a majority of people believe in Christianity. In order to investigate the effect of cultural difference and of religiosity on immanent justice reasoning, we compared and contrasted the degree of engagement in immanent justice reasoning regarding someoneʼs misfortune among American Christians, Japanese Buddhists, and nonreligious participants in the two cultures. The analysis found that among Americans, those who believed in Christianity engaged in stronger immanent justice reasoning toward an unfortunate person with lower moral values than did participants without a particular faith. The Japanese, on the other hand, showed stronger immanent justice reasoning for people with lowermoral values, regardless of their faith. In addition, when the person had lowmoral value, the Japanese tended to engage in such reasoningmore strongly than did Americans. Our results showed that religious beliefsmay contribute to strengthening engagement in immanent justice reasoning in the Western culture, but such a generalization may not be accurate in other cultures.
Materiais de intervenção de conservação e restauro em vidro arqueológico – uma revisão bibliográfica

Conservation and restoration on archaeological objects in glass often involve the removal of materials from previous restorations and comprise a deep knowledge about present and past methodologies. This article presents a literature survey and critical analysis of the main materials used in the different stages of intervention: cleaning, consolidation, joining fragments and filling gaps. A considerable number of used products was identified, which illustrates the use of various methodologies among professionals from this area. Cleaning methods vary from mechanical methods using a brush (less invasive) to the use of various acidic solutions, some of which can endanger the integrity of objects, being the most common ethylenediamine tetra-acetic acid. We highlight the use of epoxy resins as adhesive, consolidant and filler, as well as the acrylic resin Paraloid B-72, identified as reversible, colorless, stable and inert. This survey and analysis of the bibliography reveals the need to implement common intervention methodologies dedicated to this material.
Diminished autonomy and justice in liver transplantation – The price of scarcity?

Patient autonomy and distributive justice are fundamental ethical principles that may be at risk in liver transplant units where decisions are dictated by the need to maximise the utility of scarce donor organs. The processes of patient selection, organ allocation and prioritisation on the wait list have evolved in a constrained environment, leading to high levels of complexity and low transparency. Regarding paternalism, opaque listing and allocation criteria, patient factors such as passivity, guilt, chronic illness and sub-clinical encephalopathy are cited as factors that may inhibit patient engagement. Regarding justice, established regional, gender and race based inequities are described. The paradox whereby hepatologists both advocate for individual patients and discharge their duty of stewardship to apportion organs according to larger utilitarian principles is explored. Competing subjective factors such as physicians’ perception of moral responsibility, the qualitative nature of expert medical assessment and institutional or personal loyalty to re-transplantation candidates are described. Realistic limits of self-determination and justice are discussed, and possible future directions in terms of patient involvement proposed.