Miracle-dz/UniFAR-FTUs huggingface dataset:
Partial Coupling and Earthquake Potential Along the Xianshuihe Fault, China

The left‐lateral Xianshuihe Fault is located at the eastern boundary of the Tibetan Plateau and is one of the most active faults in China. It is associated with substantial seismic potential, with more than 20 Mw > 6 earthquakes since 1700. The fault has been documented to be creeping at the surface for decades; however, the spatial and temporal distributions of shallow creep along the fault are not well resolved. In this study, we obtain high‐resolution interseismic velocity maps along the 350‐km‐long central Xianshuihe Fault and Interferometric Synthetic Aperture Radar (InSAR) time series along the Kangding segment using ascending and descending Sentinel‐1 data. The InSAR data reveal multiple creeping sections and the estimated surface creep rates show high along‐strike variability. A coupling model characterizes the distribution of creep with depth. The seismic potential of apparent rupture asperities along the Xianshuihe Fault is further refined by considering fault‐crossing baseline data and the distribution of historical ruptures and microseismicity. Moreover, a stress‐driven afterslip model of the observed accelerated creep around the Mw 5.9 2014 Kangding rupture indicates substantial shallow afterslip, which provides further constraints on the distribution of locked and creeping patches along this section of the Xianshuihe Fault.
Soft Bio-Integrated Multifunctional Devices Using an Intrinsically Stretchable Conducting Nanomembrane

Soft bioelectronic systems with a unique mechanical property, namely modulus matching between human skin (or tissue) and the device, have gained widespread attention. This is because of their closed-loop strain-insensitive electrical performance ranging from application in the long-term stable measurements of physiological signals and feedback modulation to human skin (or organs). Various materials and integration/fabrication strategies such as buckled, rigid islands, and wavy designs addressed for soft bioelectronic systems require complex device fabrication with time-consuming packaging and integration processes. In this study, we developed a soft bio-integrated multifunctional device (SBMD) fabricated through the simple thermal evaporation and transfer processes. The intrinsically stretchable Au–SEBS film composed of thermally evaporated gold (Au) nanomembranes and an elastomeric substrate was applied to various functional modules that are capable of sensing the strain (up to ~300%), temperature (with a thermal sensitivity of ~0.6 Ω/°C), chemicals (at a concentration of NaCl of ~0.5 wt%), and even electrophysiological cardiac/muscle signals and showing thermal actuations (80 °C at 9 V). Specifically, such multifunctions of the SBMD were stably performed even on skin. Thus, we believe the SBMD would be a promising candidate for realizing soft bioelectronic systems.
Micro, Small, and Medium Enterprises’ Business Vulnerability Cluster in Indonesia: An Analysis Using Optimized Fuzzy Geodemographic Clustering

The COVID-19 pandemic has caused effects in many sectors, including in businesses and enterprises. The most vulnerable businesses to COVID-19 are micro, small, and medium enterprises (MSMEs). Therefore, this paper aims to analyze the business vulnerability of MSMEs in Indonesia using the fuzzy spatial clustering approach. The fuzzy spatial clustering approach had been implemented to analyze the social vulnerability to natural hazards in Indonesia. Moreover, this study proposes the Flower Pollination Algorithm (FPA) to optimize the Fuzzy Geographically Weighted Clustering (FGWC) in order to cluster the business vulnerability in Indonesia. We performed the data analysis with the dataset from Indonesia’s national socioeconomic and labor force survey (SUSENAS and SAKERNAS). We first compared the performance of FPA with traditional FGWC, as well as several known optimization algorithms in FGWC such as Artificial Bee Colony, Intelligent Firefly Algorithm, Particle Swarm Optimization, and Gravitational Search Algorithm. Our results showed that FPAFGWC has the best performance in optimizing the FGWC clustering result in the business vulnerability context. We found that almost all of the regions in Indonesia outside Java Island have vulnerable businesses. Meanwhile, in most of Java Island, particularly the JABODETABEK area that is the national economic backbone, businesses are not vulnerable. Based on the results of the study, we provide the recommendation to handle the gap between the number of micro and small enterprises (MSMEs) in Indonesia.
Identification of miR397a and Its Functional Characterization in Callus Growth and Development by Regulating Its Target in Liriodendron

Callus growth and development, a crucial process in plant propagation, is involved in hormonal balance and abundant gene regulation. MiRNAs are key regulators in the process of cell differentiation and development. MiR397 was identified as participating in plant growth, development, and response to stress, and it was regulated by targeting the LAC gene. The regulatory function of miR397 during callus growth and development was not clear in Liriodendron. In this study, LhmiR397a and its targets were identified, and its regulatory function between LhmiR397a and LhLAC11 was shown using qRT-PCR and transient expression in protoplasts. Furthermore, to clarify the regulatory function of LhmiR397a-LhLAC11, transgenic calli overexpressing LhMIR397a, LhLAC11, and mLhLAC11 were separately obtained by Agrobacterium-mediated transfer. The results showed that overexpressing LhMIR397a might retard callus proliferation, while overexpressing LhLAC11 or mLhLAC11 could promote callus proliferation. Genes associated with the cell cycle had decreased expression when LhMIR397a was overexpressed, while increased expression was observed when LhLAC11 or mLhLAC11 was overexpressed. Additionally, the calli overexpressed with LhMIR397a could generate early cotyledons 21 days after induction, and the somatic embryo induction time was short compared with other genotypes. This study identified LhmiR397a and its targets and provided a functional characterization of LhmiR397a in callus growth and development by regulating its target in Liriodendron.
US President Joe Biden’s Administration: A New U.S. Climate Change Agenda (U.S. CCA)

The climate change issue is a key principle for Mr Joe Biden’s administration. In this paper, author conducts a Qualitative Content-Analysis (QCA) method of the elements affecting Joe Biden’s administration about the new U.S climate change agenda (U.S. CCA). Thus, the question in this research is that why climate change is one of the important issues in the Biden administration? Based on this method and data analysis the publications were identified and divided to answer the basic question of this article. I differentiated between national and international levels. Hence, paper proposes two reasons, the Economic-based approach and the Individual approach at the national level, to abovementioned research question. In addition, two specific approaches are identified at the International level: global leadership on climate change, global cooperation on the climate change. The policy implications would seem to be that national elements by Economic-based approach and the Individual approach are critical in influencing Biden's new climate agenda.
Impact of COVID-19 on frontline pharmacists’ roles and services in Canada: The INSPIRE Survey

Introduction The global COVID-19 pandemic has significantly affected the way individuals interact with the health care system, with reallocation of resources and reports of patients delaying scheduled visits with family physicians or avoiding hospitals, due to fears of contracting the COVID-19 infection. Similar attitudes were observed during the 2009 H1N1 virus pandemic, as patients sought perceived “safer” options to access health care services. Previous pandemic experiences indicated that pharmacies are considered one of these options. For example, the H1N1 pandemic experience highlighted that pharmacists are well placed to play roles and provide services in public health, education and vaccinations. Indeed, Rubin and colleagues reported that collaboration between pharmacists and local health departments during the H1N1 influenza outbreak improved community emergency response. Moreover, Watson and colleagues identified 43 roles that pharmacists could undertake to prevent, prepare for, respond to and recover from any type of disaster, such as the current global COVID-19 pandemic. Pharmacy has been recognized as a vital health care profession during the COVID-19 pandemic, as many jurisdictions categorized pharmacy as an essential service and adapted legislation to support pharmacists’ roles. Austin and Gregory explored factors that may affect the resiliency of the pharmacy workforce in Ontario community pharmacies during the early phase of COVID-19 pandemic. Those investigators reported that the degrees of resiliency were affected by staffing, pharmacy workflow, number of multitasking requirements, use of professional guidance, usability of technology and access to personal protective equipment (PPE). These findings provided insight into the way pharmacists responded to the early phase of the COVID-19 pandemic. However, such findings were limited to Ontario, and we sought to evaluate the impact of the COVID19 pandemic on Canadian pharmacists and pharmacy services and to identify frontline pharmacists’ roles and pharmacy services during the early phase of the COVID-19 pandemic.
Multi‐Season Evaluation of CO2 Weather in OCO‐2 MIP Models

The ability of current global models to simulate the transport of CO2 by mid‐latitude, synoptic‐scale weather systems (i.e., CO2 weather) is important for inverse estimates of regional and global carbon budgets but remains unclear without comparisons to targeted measurements. Here, we evaluate ten models that participated in the Orbiting Carbon Observatory‐2 model intercomparison project (OCO‐2 MIP version 9) with intensive aircraft measurements collected from the Atmospheric Carbon Transport (ACT)‐America mission. We quantify model‐data differences in the spatial variability of CO2 mole fractions, mean winds, and boundary layer depths in 27 mid‐latitude cyclones spanning four seasons over the central and eastern United States. We find that the OCO‐2 MIP models are able to simulate observed CO2 frontal differences with varying degrees of success in summer and spring, and most underestimate frontal differences in winter and autumn. The models may underestimate the observed boundary layer‐to‐free troposphere CO2 differences in spring and autumn due to model errors in boundary layer height. Attribution of the causes of model biases in other seasons remains elusive. Transport errors, prior fluxes, and/or inversion algorithms appear to be the primary cause of these biases since model performance is not highly sensitive to the CO2 data used in the inversion. The metrics presented here provide new benchmarks regarding the ability of atmospheric inversion systems to reproduce the CO2 structure of mid‐latitude weather systems. Controlled experiments are needed to link these metrics more directly to the accuracy of regional or global flux estimates.
Chondroitin in Transdermal Patch and Its Main Physical Properties

Chondroitin sulphate (CS) in oral dosage form has widely used to help manage osteoarthritis, but regret its bioavailability was very low at only 13%, It was due to the first passed effect in the liver and to avoid it CS is needed to be formulated into another forms of preparation like patch. This study was aimed to gure out in-vitro possibility of chondroitin sulphate (CS) to be formulated in a transdermal patch and characterized by its physical properties such as permeation profile through the Franz’s cell and partition coefficient studies. The study showed that 150 mg CS in transdermal patch given the constant permeation within 19 hours with the partition coefficient of 2.22. Based on the permeation profile and the partition coefficient study, the CS patch would become an effective preparation to be considered. Keyword : Chondroitin Sulphate (CS), Transdermal patch, Permeation profile, Partition coefficient
Interaction Between 7-Ethyl-10-Hydroxycamptothecin and β-Lactoglobulin Based on Molecular Docking and Molecular Dynamics Simulations

Abstract The binding mechanism of 7-ethyl-10-hydroxycamptothecin (SN38) with β-lactoglobulin (β-lg) was studied by molecular docking and molecular dynamics simulation. The docking results showed that van der Waals forces and hydrogen bonds played an important role in maintaining the stability of the β-lg/SN38 complex. The results of the molecular dynamics simulation showed that the RMSD (root-mean-square deviation) value of the complex system reached equilibrium after 38000 ps of simulation. Moreover, the calculation results also showed that SN38 was more likely to bind to the hydrophobic cavity than the other binding sites of β-lg. The results provided a new clue for the interaction mechanism of SN38 and β-lg, and proved they can form a stable complex.
A Quantitative Exploration to Directionality Among Sworn Translators and Interpreters in Colombia

The high influence of sworn translators and interpreters (sti, henceforth) on the professional context of translation in Colombia is undeniable. However, the lack of institutional support and the poor documentation and research that exist amongst sti in the country makes it difficult to read it in an informed, comprehensive, and historical manner. Considering the abovementioned, this article aims at presenting the results of a sociological case study from a quantitative research that reflects, in a diagnostic or preliminary way, on the current situation of the Colombian sti, their status, and their working conditions. This study used techniques mainly from inferential statistics on data collected from a survey conducted to 200 informants. In this paper, special emphasis is placed on the results related to directionality and its influence in the market behavior. In general, there was a large plurality in the informants’ profiles even though it was found that more than half of them were women and that English remained the main working language among translators with a particular strong presence of reverse translation/interpretation (towards a language other than Spanish). Likewise, through this research, it was concluded that several understudied professional and market-related aspects crucial for reading and understanding the work done by translators and interpreters in Colombia more judiciously were identified, described, and problematized.
Climate‐based ensemble modelling to evaluate the global distribution of Anoplophora glabripennis (Motschulsky)

Anoplophora glabripennis (Motschulsky) (Coleoptera: Cerambycidae) is a forest pest that damages a wide range of trees in areas where it has recently been introduced, demanding a proactive evaluation of its possible future distribution. This study aimed to project the potential distribution of A. glabripennis using species distribution modelling and constructed an ensemble map for evaluating global risk areas. We used CLIMEX and MaxEnt to evaluate the potential distribution of A. glabripennis as a function of current and future climates. The results showed that the models predicted a high probability of A. glabripennis distribution where this species is currently found, and the suitable climate was shifted northward due to climate change. The projected area differed between the models because of different modelling algorithm and climate change scenario; thus, an ensemble map projecting the consensus areas from two models was constructed to identify the risk areas that corresponded to the eastern United States, Europe, and native countries, Korea and China, and nearby Japan. From the perspective of ensemble modelling for evaluating species distributions with reduced uncertainties, this study will enhance the model reliability for defining areas at risk of A. glabripennis occurrence.
A New Clustering Algorithm Toward Building Segmentation From Aerial Images by Utilizing RGB‐Component Differences

For the image segmentation task, deep features‐based deep learning methods have strict data requirements on the quality and quantity, which limits their application in irregular scenes, such as the villages subjected to geological hazards in the complex mountains. However, traditional algorithms with shallow and middle features are unable to utilize the complex information of unmanned aerial vehicle (UAV) remote sensing images effectively. To address this issue, we proposed a new image segmentation algorithm by using the RGB component difference clustering (RGBCDC). In this method, after dimensionality reduction of RGB color space from three dimensions to two dimensions, the distance between similar objects would be diminished and the distance between disturbance areas would be enlarged. Two different UAV data sets (3,000 in total) have been used to compare the proposed algorithm with the traditional segmentation algorithms and the deep learning‐based methods. Results show that the average pixel accuracy is 13.11%, 11.86%, 13.84%, 8.00%, and 9.86% higher than Octree Quantization clustering algorithm, Region Growing algorithm, Watershed algorithm, K‐Means algorithm, and SLIC superpixel segmentation algorithm, respectively. When facing insufficient samples, the new method performed better than deep learning algorithms, such as Deeplabv3, PSPnet, UNET, and UISBB. In general, the proposed algorithm for building segmentation shows a better potential for use in uncommon situations, especially for rapid emergency rescue after serious mountain hazards.
Local Measures Distribution for the Estimation of the Elongation Ratio of the Typical Grain in Homogeneous Boolean Models

We introduce a particular localization of the Minkowski functionals to characterize and discriminate different random spatial structures. The aim of this paper is to present a method estimating the typical grain elongation ratio in a homogeneous Boolean model. The use of this method is demonstrated on a range of Boolean models of rectangles featuring fixed and random elongation ratio. An optimization algorithm is performed to determine the elongation ratio which maximize the likelihood function of the probability density associated with the local perimeter measure. Therefore, the elongation ratio of the typical grain can be deduced.
The cultural biography of two volute capitals at Iron Age Hazor

ABSTRACT This article deals with two volute capitals discovered in secondary use at Hazor in the late 1950s and with their significance to the study of the conflicts between Israel and Aram-Damascus during the 9th and 8th centuries bce. A fresh look at the ‘cultural biography’ of these monumental artworks in light of the architectural and cultural development of the Iron Age city challenges the conventional explanation of their unique findspot as the result of squatter activity. It is suggested that the two capitals were removed from their original location and placed nearby in a highly visible context as part of an attempt to contest their previously intended meaning and to demonstrate the power of a new political entity.
Building k‐partite association graphs for finding recommendation patterns from questionnaire data

Graph‐pattern association rules have been explored for detecting frequent subgraph structures in real‐world network data, which can reveal new insights for decision‐making, recommender systems, and predictive models. However, questionnaire data have been neglected so far even though they are one of the most affordable ways to gather quantitative data. Questionnaires can cover every aspect of a topic, generating new strategies and trends for many organisations. The challenge is twofold: develop a model for handling nominal/Boolean data and ordinal data simultaneously, as well as multiple values assigned to a single item. In this article, the synergy between the well‐known Apriori algorithm and k‐partite graph modelling is proposed to discover frequent recommendation patterns from questionnaire data. Using graph centrality and similarity measures, the large number of association rules are further analysed to discover meaningful spatial structures in non‐metric spaces. Counting triangles is also used to uncover hidden thematic structures of link recommendations. We demonstrate how our proposed approach can be applied to a tourism questionnaire survey to reveal frequent patterns in k‐partite graphs, which can further be used for recommender systems.
A novel peak load shaving algorithm via real‐time battery scheduling for residential distributed energy storage systems

As population grows and energy consumption increases, generation, transmission, and energy distribution costs also increase. Sudden and unpredicted demand increase at peak periods might lead to failure and even damage the power grid. This is a challenge for stability and reliability of the grid. Peak load shaving is considered as an effective approach while transition from peak load periods. In this paper, peak load shaving is modeled mathematically through storing energy on demand side and solved using optimization method. Using the results obtained from solving the optimization problem, a simple effective algorithm is proposed for peak load shaving via real‐time scheduling of distributed battery storage systems without complicated calculations. All characteristics required for systemic design of peak load shaving for residential, commercial, and industrial loads are presented. This method can be used in the presence of photovoltaic arrays or other renewable or nonrenewable distributed energy resources simultaneously, and it can be adapted to different conditions and demands. Here, real measured data of a residential state, an office building with photovoltaics, a hotel, and a small office are used for simulation, and GAMS is used for analysis.
Disgraced of the West, Deserted of the East: Men in the Films Shame and Issız Adam (Alone)

Apart from being shot in almost the same decades, Shame (Steve McQueen, 2011) and Issız Adam (Çağan Irmak, 2008) have other analogies that require to study on. Even though both men live in different cultures and have different relationship models, they struggle in life concurrently. While Steve McQueen’s Shame focuses on uncompromising sex addiction that overthrows a man’s life, Çağan Irmak’s Issız Adam takes it on a romantic level and presents a lonely man who cannot attach women. Though it seems an ordinary attachment problem on the surface, both men have deep social, sexual, familial problems that force them to be left alone. In consideration of adult romantic attachment theory of Hazan and Shaver (1987), both male characters will be examined under the topics of adult loneliness and love, romantic incest and sex addiction to analyze the reasons and the results of the bond that both male characters cannot have built.
Performance comparison of multicarrier communication systems over doubly-selective channels

To mitigate the effect of 5G wireless channel, new multicarrier with robust features and waveform needs to replace the conventional OFDM system. In this study, three adopted multicarrier systems are employed and compared with OFDM including FBMC, FOFDM and UFMC over 5G channel. The BER performance, PAPR and PSD are compared with OFDM system. One tap frequency domain equalizer is used with all multicarrier systems and test the performance over 5G channel. The consequences show that, FBM has the best BER at high Doppler spread and has lowest PSD. In the other side, FBMC has highest PAPR comparing with other multicarrier system.