Miracle-dz/UniFAR-FTUs huggingface dataset:
Figure search by text in large scale digital document collections

Digital document collections have been created with the transfer of a large number of documents to digital media. These digital archives have provided many benefits to users. As the diversity and size of digital image collections have grown exponentially, it has become increasingly important and difficult to obtain the desired image from them. The images on the document might contain critical information about the subject of it. In this study, an architecture is developed that can work on large‐scale data by creating regular expressions together with full‐text search approaches. The performance of the system has been tested on different academic documents and Elasticsearch and Apache Solr insert times are compared. Compared to Elasticsearch, Apache Solr achieved faster and more successful results.
First-Principles Study of the Effect of Al and Hf Impurities on Co 3W Antiphase Boundary Energies

Abstract The effects of Al and Hf impurities on the (111) antiphase boundary (APB) energy of metastable FCC Co 3 W are investigated via ab initio calculations. Cluster expansions are used to predict the total energies of supercells containing non-dilute concentrations of impurities using Monte Carlo simulations at relevant temperatures, giving APB energies as a function of impurity concentration and temperature for each ternary system. The cluster expansions are validated by comparing with direct energy calculations of supercells of pure L1 2 Co 3 W and the effects of each impurity are compared. Two sets of compositions are explored for each system — constant ratio (constant ratio between Co and W) and sacrificial W (constant Co). It is found that sacrificial W compositions stabilize the L1 2 structure over a wider range of compositions than constant ratio compositions (given the restriction to the FCC lattice) in both systems and should be preferred. In sacrificial W compositions, Hf increases the APB energy far more than Al, particularly at higher concentrations of the impurity, and both systems exhibit little variation with respect to temperature. It is further shown that at higher concentrations of Hf, and most noticeably for Co 3 (W 0.5 Hf 0.5 ), Hf and W tend to segregate into alternating planes, unlike the corresponding Co 3 (W 0.5 Al 0.5 ), which explains the different impacts of the two impurities on the APB energy. Finally, the ratio of (111) to (100) APB energies is studied for sacrificial W compositions to understand cross slip behavior in both ternary systems.
Molecular and morphological analyses reveal pseudocryptic diversity in Micromelo undatus (Bruguière, 1792) (Gastropoda: Heterobranchia: Aplustridae)

The genus Micromelo (family Aplustridae) occurs in almost all tropical and subtropical waters across the globe, with the exception of the Eastern Pacific. Most authors consider Micromelo undatus (Bruguière, 1792) as the only valid species in this genus. This study examines populations of specimens identified as M. undatus across its geographic range, using morphological and genetic data from two mitochondrial genes (16S and CO1) and one nuclear gene (Histone H3). The results reveal that M. undatus is a complex of four species with consistent genetic and anatomical differences. A literature review and evaluation of type material indicates that available names exist for three of the four species. Micromelo guamensis, M. undatus and M. scriptus are resurrected for species found in the Western Pacific, the Atlantic Ocean, and widespread in the Indo-Pacific, respectively. A new name is introduced for another species found in the Western Pacific, namely Micromelo barbarae sp. nov. and a neotype is designated for the type species of the genus M. undatus. http://zoobank.org/urn:lsid:zoobank.org:act:02091D97-0AE1-4AE4-9910-726C4F0ABE2F
An Evaluation of Urban Resilience to Flooding

Flooding has become the natural disaster that causes the greatest losses, with urban flooding restricting the healthy development of cities. The ability to assess a city’s resilience to flooding is very important and would contribute to improving resilience and also help to inform planning and development. The aim of this study was to determine the key urban flood resilience indicators for three different Chinese cities (Wuhan, Nanjing, and Hefei) and to prioritize these for each city. A combined interpretive structure and network analysis method (ISM-ANP) model was used to evaluate and analyze the selected evaluation indicators. A four-level urban flood resilience evaluation network model was constructed to determine the interdependence between indicators and to calculate the priorities of the flood resilience indicators for the three cities. Overall, rescue capacity was found to be extremely important and was defined as the most important index. For Wuhan, indicators related to the distribution of waters were found to be more important, while for Nanjing, spatial planning and spatial structure of land use were found to be key priorities. In Hefei, the level of investment in infrastructure and the level of public resources occupy a more important position. The framework presented in this study contributes to the understanding of urban flood resilience and has the potential to be extended to other natural hazards.
The Treasury Chest of Text Mining: Piling Available Resources for Powerful Biomedical Text Mining

Text mining (TM) is a semi-automatized, multi-step process, able to turn unstructured into structured data. TM relevance has increased upon machine learning (ML) and deep learning (DL) algorithms’ application in its various steps. When applied to biomedical literature, text mining is named biomedical text mining and its specificity lies in both the type of analyzed documents and the language and concepts retrieved. The array of documents that can be used ranges from scientific literature to patents or clinical data, and the biomedical concepts often include, despite not being limited to genes, proteins, drugs, and diseases. This review aims to gather the leading tools for biomedical TM, summarily describing and systematizing them. We also surveyed several resources to compile the most valuable ones for each category.
Method for Localizing and Differentiating Bacteria within Biofilms Grown on Indium Tin Oxide: Spatial Distribution of Exoelectrogenic Bacteria within Intact ITO Biofilms via FISH

With a limited supply of fossil fuel, there has been great interest in the development of new technologies that can take advantage of renewable fuel sources or convert energy stored in waste to usable energy. One such class of technologies are microbial fuel cells (MFCs), which can convert various carbohydrate rich sources as well as wastewater into electricity via biological catalysts. However, electrical current generation in these microbial driven systems is typically low making these technologies unsuitable for widespread use. In order for MFCs to become a viable alternative energy source, methods are needed to better understand the relationship between microbes and electron transfer. This work outlines a method for spatially differentiating exoelectrogenic bacteria within intact biofilms grown on a conductive surface. The technique involves the rapid generation of biofilms by using a drip flow bioreactor (DFR) on indium tin oxide (ITO)coated slides, in situ fixation of bacteria within the biofilms on the ITO surface, and determining species differentiation and location by probing with fluorescence in situ hybridization (FISH). This method was shown to effectively distinguish two exoelectrogens within biofilms on a conductive surface, which could serve as a novel means to study MFCs in greater detail. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents. DESTROY THIS REPORT WHEN NO LONGER NEEDED. DO NOT RETURN IT TO THE ORIGINATOR. ERDC/CERL TR-17-42 iii
Direct Cu-mediated aromatic 18F-labeling of highly reactive tetrazines for pretargeted bioorthogonal PET imaging

Pretargeted imaging can be used to visualize and quantify slow-accumulating targeting vectors with short-lived radionuclides such as fluorine-18 – the most popular clinically applied Positron Emission Tomography (PET) radionuclide. Pretargeting results in higher target-to-background ratios compared to conventional imaging approaches using long-lived radionuclides. Currently, the tetrazine ligation is the most popular bioorthogonal reaction for pretargeted imaging, but a direct 18F-labeling strategy for highly reactive tetrazines, which would be highly beneficial if not essential for clinical translation, has thus far not been reported. In this work, a simple, scalable and reliable direct 18F-labeling procedure has been developed. We initially studied the applicability of different leaving groups and labeling methods to develop this procedure. The copper-mediated 18F-labeling exploiting stannane precursors showed the most promising results. This approach was then successfully applied to a set of tetrazines, including highly reactive H-tetrazines, suitable for pretargeted PET imaging. The labeling succeeded in radiochemical yields (RCYs) of up to approx. 25%. The new procedure was then applied to develop a pretargeting tetrazine-based imaging agent. The tracer was synthesized in a satisfactory RCY of ca. 10%, with a molar activity of 134 ± 22 GBq μmol−1 and a radiochemical purity of >99%. Further evaluation showed that the tracer displayed favorable characteristics (target-to-background ratios and clearance) that may qualify it for future clinical translation.
A Robust Vector Current Controller with Negative-Sequence Current Capability for Grid-Connected Inverters

This paper presents a vector current controller (in the synchronous reference, or the dq, frame) with negative-sequence current injection capability for three-phase grid-connected converters. This capability is desired for the operation of the converter during unbalanced conditions and also for a certain type of islanding detection. The proposed controller first determines the double-frequency current references and then uses a sixth-order two-input two-output proportional-integral-resonance (PIR) structure, which is optimally designed. Compared with the existing similar approaches, the proposed controller has a simpler structure and more robust performance, e.g., against system parameter uncertainties and weak grid conditions. The proposed controller is developed for converters with both the L-type and LCL-type filters. For the LCL-type converter, a suboptimal partial state feedback control is also proposed to achieve robust stability and active damping of resonance poles without requiring additional sensors. Detailed experimental results are presented to illustrate the properties and performances of the proposed controller.
Teaching-Learning Based Optimization of Nonlinear Isolation Systems under Far Fault Earthquakes

Seismic isolation systems exposed to far-fault earthquakes can reduce floor accelerations and story drift ratios to acceptable levels. However, they exhibit different structural performances in each earthquake due to different excitation frequency contents. By optimizing the isolation system parameters, their performance may be maintained at the best level under different far-fault earthquakes. In this study, the optimization of the parameters of the nonlinear isolation system of a 5-story benchmark building is performed by Teaching-Learning Based Optimization (TLBO) algorithm to minimize peak floor accelerations under historical far-fault earthquakes with and without exceeding a specified base displacement limit. According to the results of the analyses, it can be said that TLBO algorithm is a robust algorithm with low standard deviations for determining optimum nonlinear isolation system parameters.
A memory-dependent thermal-viscoelastic model and its application in heating-induced nonlocal response analysis of a polymer microbeam

Abstract In order to capture the memory-dependent effect and size-dependent effect, present work aims to develop a novel thermo-viscoelastic nonlocal model in micro-scale for the first time to include the simultaneous effects of the fractional order parameter, the viscous damping coefficient, the time-delay factor and the kernel function. Then, the theory is applied to studying the dynamic response of a polymer microbeam heated by a ramp-type heating. In calculation, the influences of the fractional order parameter, the viscous damping coefficient, the time-delay factor and the kernel function on the variations of the considered variables are presented and discussed in detail.
Power Spectral Density Analysis of Nanowire-Anchored Fluctuating Microbead Reveals a Double Lorentzian Distribution

In this work, we investigate the properties of a stochastic model, in which two coupled degrees of freedom are subordinated to viscous, elastic, and also additive random forces. Our model, which builds on previous progress in Brownian motion theory, is designed to describe water-immersed microparticles connected to a cantilever nanowire prepared by polymerization using two-photon direct laser writing (TPP-DLW). The model focuses on insights into nanowires exhibiting viscoelastic behavior, which defines the specific conditions of the microbead. The nanowire bending is described by a three-parameter linear model. The theoretical model is studied from the point of view of the power spectrum density of Brownian fluctuations. Our approach also focuses on the potential energy equipartition, which determines random forcing parametrization. Analytical calculations are provided that result in a double-Lorentzian power density spectrum with two corner frequencies. The proposed model explained our preliminary experimental findings as a result of the use of regression analysis. Furthermore, an a posteriori form of regression efficiency evaluation was designed and applied to three typical spectral regions. The agreement of respective moments obtained by integration of regressed dependences as well as by summing experimental data was confirmed.
“I want more than ” User-generated Icons for Better Video-mediated Communications on the Collaborative Design Process

The COVID-19 pandemic has led to the proliferation of non-face-to-face video-mediated communication such as through ZOOM or Google Meet. However, video-mediated communication has several limitations related to exchanging vocal reactions and non-verbal expressions. Consequently, although current video conferencing platforms provide visual support through icons, it remains challenging for users to express various intentions because of the limited number of icons, their uniform size, and their fixed location. In particular, these limitations challenge designers who require collaborative design processes such as brainstorming. To investigate user needs related to icons that better support video-mediated communication, we conducted a participatory design methodology. Based on the analyses of participants’ brainstorming experiences with various icons through participatory paper prototyping, we found that icons that accurately reflect diverse user needs facilitated turn-taking during the design process, and allowed participants to exchange more opinions and emotions. Thus, they created a positive atmosphere in the online meeting environment.
Reversible Stepwise Condensation Polymerization with Cyclization: Strictly Alternating Co-polymerization and Homopolymerization Based upon Two Orthogonal Reactions

In a preceding work [M. Lang, K. Kumar, A simple and general approach for reversible condensation polymerization with cyclization, Macromolecules 54 (2021) 7021], we have introduced a simple recursive scheme that allows to treat stepwise linear reversible polymerizations of any kind with cyclization. This approach is used to discuss the polymerization of linear Gaussian strands (LGS) with two different reactive groups $A$ and $B$ on either chain end that participate in two orthogonal reactions and the strictly alternating copolymerization of LGS that carry $A$ reactive groups with LGS equipped with type $B$ reactive groups. The former of these cases has not been discussed theoretically in literature, the latter only regarding some special cases. We provide either analytical expressions or exact numerical solutions for the general cases with and without cyclization. Weight distributions, averages, polydispersity, and the weight fractions of cyclic and linear species are computed. All numerical solutions were tested by Monte-Carlo simulations.
A FMEA Based Method for Analyzing and Prioritizing Performance Risk at the Conceptual Stage of Performance PSS Design

Abstract With the quest for enhancing competitive position, fulfilling customer and sustainability demands, increasing profitability, asset manufacturing companies are now adapting assets towards product service systems (PSS) offered through performance contracts. Despite several benefits, the shift to performance PSS exposes industrial asset manufacturers' to performance challenges and risks. Currently, PSS designers face a challenge to exhaustively identify potential failures during PSS development. Knowledge of Product failures is critical prior to the engineering of PSS. This paper proposes a failure modes and effects analysis (FMEA) method to support designers' prioritise critical failures in performance PSS development. A case study of an optical sorting machine is used to demonstrate the method's application.
Barriers to housing in a grass-roots support group of individuals experiencing housing instability and homelessness

ABSTRACT Secure housing remains unattainable for many experiencing homelessness or housing instability. Research on models like housing first and consumer choice offer options for the chronically homeless, yet evidence shows these models are insufficient for overcoming local community needs. The objective of this study was to use principles of Community-Based Participatory Research (CBPR) to frame the social and structural barriers that prevent many local homeless from finding secure and stable housing. A combination of questionnaire and semi-structured interview formats were used. Seventy-three participants completed questionnaires and 13 interviews were conducted. Participants were predominantly middle-aged, male (90%), and Black or African American (74%). Qualitative analysis yielded four major themes related to chronic homelessness and barriers to secure housing: 1) diverse contributors to homelessness, 2) psychological effects of housing instability that diminish capacity for change, 3) persisting instability despite attainment of housing, and 4) complex interpersonal connections that provide support but also contribute to a network of instability. The personal impact of homelessness coupled with highly nuanced relationships amplified the complexity of targeting supportive measures. The precarious nature of such a network calls for leveraging partnerships with individuals who have experience with homelessness to promote tailored and context-driven interventions.
Design of electrochemical sensor array utilizing metal materials and applications in sugar content analysis from mixtures

ABSTRACT In this paper, an electrochemical sensor array utilizing metal materials was designed, and its applications in sugar content analysis from mixtures were conducted. The system adopts the conventional three-electrode system. Cyclic Voltammetry (CV) and Amperometric i-t Curve (i-t) were utilized as testing methods. The curve of the relationship between current and time could be obtained by i-t scanning. The relationship between the sugar concentration and the current density of the sensor was developed. The data was analyzed using multiple linear regression (MLR). The sugar mixtures were automatically measured by using this instrument. CV and i-t methods were utilized to carry out the experiments. Different scan rates CV results showed that it was a typical diffusion controlled electrochemical process. Different sugars CV results showed that different electrodes for CV experiments with different sugars produced different anode peak potential and current. Control experiments showed that neither Na2CO3 nor NaCl had any effect on the experimental results. The developed system has good stability and repeatability. I-t fitting results indicated that there was a good linear relationship between system responses and sugar concentrations. The linear range was between 0.14 mM and 4.76 mM. A python-based MLR model was developed for sugar content determination. Results were obtained by solving the system of equations, indicating that this method presented content determination abilities for sugar mixtures. The method proposed in this paper had the advantages of easy operation, low cost, rapid analysis, and low detection limit. It provided a new idea for sugar quantitative determination in solution.
PEMANFAATAN LIMBAH CANGKANG RAJUNGAN (PORTUNUS PELAGICUS) SEBAGAI PERISA MAKANAN ALAMI

Crabshellwastefromcrabindustry cause enviromentalproblem. Someeffortswereneededtoovercometheproblem. Crabflavourwas a potentialproductwhich has createdusingcrabeggshell. Thisresearchaimedtochoosebestmethodeformakingcrabflavour and toknowtheinfluence of dextrinonitsquality. Theresearchwasdividedintotwostages (the process to make crabshell powder and crabshell flavour). Thepowderwascreatedbyusinghydrolysis and non-hydrolysis. Full randomizeddesignwaschoosenwheredextrin (1, 2, 3%) used as a single factor. According to the result, non-hydrolysis was choosen for making crab flavourer because it improved calcium content (26,82%) and aroma. Meanwhile, based on sensory evaluation, respondents clearly stated ”like” in aroma, taste, colours as well. Statistically, dextrin didn’t produce significant influence in moisture content, aroma, colour, and taste
The Structure of the Start-Up Business Model—Qualitative Analysis

The aim of the research is an in-depth and detailed knowledge of the start-up business model, which is structured according to Canvas visualization. The research sample contains 106 start-ups operating in Slovakia. Each start-up was researched by a member of the research team, who personally recorded the statements of the founder. The research results are based on qualitative analysis and synthesis of statements of the founders of start-ups. The main results of the research are a summary view of the business model of the examined start-ups, which expresses the peculiarities of the start-up business making, including priorities within its blocks, and the identification of space for variations in the business model of start-ups. A secondary result of the research is the subjective and objective circumstances of the creation of a business idea, its content, confirmation of its originality, and the peculiarity of the start-up development process. The practical use of the results consists in providing a pattern of the business model and the possibilities of its variation, which are the result of field research of real and functioning start-ups. The originality and value of the research lie in the direct collection of qualitative data, immediate knowledge of business reality, and the synthesis of results into a comprehensive and detailed picture of the start-up business model.