Miracle-dz/UniFAR-FTUs huggingface dataset:
On-Site Architectural Drawing with Hand-held Mobile Instructions

The advances in computer-aided design tools have enabled design visualization and realization to become more efficient and effective. However, these fast-growing digital technologies are also gradually reducing the presence of hand drawings in architectural education. This leads to a reduction in the ability to be inspired from the direct observation of the architectural environment through on-site freehand sketching. This study aims to implement digital technology as a teaching aid to retrieve these lost abilities. Analytical drawing is a method that encourages thinking before drawing, laying out the invisible underlying structure, and finalizing it with a visible appearance. This method remains an effective way of three-dimensional visual thinking. Accordingly, this study presents an interactive smartphone application that brings computer-assisted instructions into mobile learning. Promising responses from students revealed that using digital technology as a teaching aid can help to retrieve the lost abilities of visual thinking through on-site sketching.
Deep Learning for Predicting Gamma-Ray Interaction Positions in LYSO Detector

Positron Emission Tomography (PET) is among the most commonly used medical imaging modalities in clinical practice, especially for oncological applications. In contrast to conventional imaging modalities like X-ray Computed Tomography (CT) or Magnetic Resonance Imaging (MRI), PET retrieves in vivo information about biochemical processes rather than just anatomical structures. However, physical limitations and detector constraints lead to an order of magnitude lower spatial resolution in PET images. In recent years, the use of monolithic detector crystals has been investigated to overcome some of the factors limiting spatial resolution. The key to increasing PET systems’ resolution is to estimate the gamma-ray interaction position in the detector as precisely as possible.In this work, we evaluate a Convolutional Neural Network (CNN) based reconstruction algorithm that predicts the gamma-ray interaction position using light patterns recorded with Silicon photomultipliers (SiPMs) on the crystal’s surfaces. The algorithm is trained on data from a Monte Carlo Simulation (MCS) that models a gamma point source and a detector consisting of Lutetium–yttrium oxyorthosilicate (LYSO) crystals and SiPMs added to five surfaces. The final Mean Absolute Error (MAE) on the test dataset is 1.48 mm.
Improvements in the sensibility of MSA-GA tool using COFFEE objective function

The sequence alignment is one of the most important tasks in Bioinformatics, playing an important role in the sequences analysis. There are many strategies to perform sequence alignment, since those use deterministic algorithms, as dynamic programming, until those ones, which use heuristic algorithms, as Progressive, Ant Colony (ACO), Genetic Algorithms (GA), Simulated Annealing (SA), among others. In this work, we have implemented the objective function COFFEE in the MSA-GA tool, in substitution of Weighted Sum-of-Pairs (WSP), to improve the final results. In the tests, we were able to verify the approach using COFFEE function achieved better results in 81% of the lower similarity alignments when compared with WSP approach. Moreover, even in the tests with more similar sets, the approach using COFFEE was better in 43% of the times.
Neue objektorientierte hygrothermische Modellbibliothek zur Ermittlung des hygrothermischen und hygienischen Komforts in Räumen

Die Entwicklung energetisch optimierter Lüftungsstrategien für feuchtebedingte Probleme bzw. die Planung und die Sanierung energiesparender Gebäude benötigt eine genaue Kenntnis über das hygrothermische Bauteil‐ und Gebäudeverhalten. Diese Fragestellungen können vor der eigentlichen messtechnischen Ausführung mit Hilfe von Simulationstools beantwortet werden. Die Komplexität solcher Fragestellungen führt zu komplexen Modellen, die schnell unüberschaubar werden können, wenn nicht geeignete Beschreibungsmittel verwendet werden. Modellierungssprachstandards wie Modelica ermöglichen aufgrund ihrer generischen Konzepte, wie z. B. Klassenprinzip, Vererbungsprinzip, Aggregationsprinzip und Polymorphie, solche komplexen Systeme in einfache Teil systeme zu zerlegen, diese zu verifizieren und dann wieder zusammenzuführen. In der Forschung existieren bisher keine generischen Simulationstools zur Bauteil‐ und Gebäudesimulation, die eine hygrothermische Analyse mit starken Wechselwirkungen zwischen Bauteilverhalten, Gebäudehülle, Gebäudenutzung sowie Raumklima ermöglichen.
Serum from Patients with Severe Alcoholic Liver Cirrhosis Inhibits Proliferation and Migration of Human Coronary Artery Smooth Muscle Cells

Liver cirrhosis has been associated with an increased risk of coronary artery disease and clinical complications following percutaneous coronary revascularization. The present study is based on the hypothesis that cirrhosis may influence intimal hyperplasia following PCI. Sera from 10 patients with alcoholic liver cirrhosis and 10 age-matched healthy controls were used to stimulate cultured human coronary artery smooth muscle cells (HCASMC) for 48 h. HCASMC proliferation, migration, gene expression and apoptosis were investigated. Serum concentrations of growth factors and markers of liver function were also determined in patients and healthy controls. Treatment of HCASMC with patient sera reduced cell proliferation and migration (p < 0.05 vs. healthy controls), whereas apoptosis was unaffected (p = 0.160). Expression of genes associated with a synthetic vascular smooth muscle cell phenotype was decreased in cells stimulated with serum from cirrhotic patients (RBP1, p = 0.001; SPP1, p = 0.003; KLF4, p = 0.004). Platelet-derived growth factor-BB serum concentrations were lower in patients (p = 0.001 vs. controls). The results suggest the presence of circulating factors in patients with alcoholic liver cirrhosis affecting coronary smooth muscle cell growth. These findings may have implications for clinical outcomes following percutaneous coronary revascularization in these patients.
Investigation of high-speed pulse transmission in MCM-D

Experimental investigation of high-speed pulse transmission in an MCM-D modules has been carried out. By using advanced CMOS dice (74AC240) and a fast comparator (SP93 808), and high frequency MCM-D technology, it is demonstrated that a long aluminum lossy line (8.0 cm) can limit the maximum frequency of an MCM-D module. On the other hand, the maximum frequency is limited by the CMOS circuits when the line length is equal or shorter than 6.0 cm. For a 5.0-cm line, best pulse integrity is obtained when a 40- Omega series resistor termination is utilized. From the half fall time measured with the comparator, the estimated maximum clock frequency in the module is about 1 GHz for a 5.0-cm stripline with impedance matched termination. Crosstalk is negligible between parallel striplines with a 75- mu m pitch in the module. On the other hand, crosstalk in the module package is observed. >
THE CHANGING OF THE BOARDS: THE VALUE EFFECT OF A MASSIVE EXOGENOUS SHOCK ⋆

In 2003, the Norwegian Parliament passed a law requiring that women comprise at least 40 percent of the board of directors of all public limited firms – at the time women only accounted for 9 percent of directors. We exploit this exogenous transformation of corporate boards to investigate if board structure affects firm value and if so, what board characteristics have the largest impact. We find that the constraint imposed by the law resulted in a significantly negative impact on firm value, consistent with the idea that firms choose boards to maximize value. The value loss was not, however, caused by the sex of the new board members, but rather by their younger age and lack of high-level work experience. This is consistent with an advisory and monitoring role for the board.
Vocational School Students’ Aspirations for Higher Education and Selected Social Background Characteristics

This study examines the association between vocational school students’ aspirations for higher education and different factors that may be related to their social background. Using cultural reproduction and relative risk aversion (RRA) theories, the study draws on data from 7060 students of four-year vocational upper secondary school programmes in Croatia. A multinomial logistic model with a random intercept was applied, in which students’ aspirations for pursuing higher education served as the outcome variable. Apart from indicators of socio-economic status (SES), vocational school students’ characteristics related to cultural habits and behaviours, as well as their concerns with downward mobility, were used as regressor variables in the analysis. All three constructs showed independent effects on aspirations for higher education, controlling for vocational sector, gender, school achievement, and school year. Further, a moderation effect was identified, indicating that the association between cultural capital and aspirations for higher education was stronger among students with more educated parents. In contrast to previous studies, the findings point to the potential complementarity of cultural capital and RRA concerning educational aspirations. We discuss the implications of the study and directions for future research. keywords: aspirations for higher education, cultural capital, relative risk aversion, socio-economic status, vocational education Sociologický časopis/Czech Sociological Review, 2021, Vol. 57, No. 6: https://doi.org/10.13060/csr.2021. 039 * Direct all correspondence to Saša Puzić, email: puzic@idi.hr; Josip Šabić, email: josip@ idi.hr; Iva Odak, email: iva@idi.hr , Institute for Social Research in Zagreb, Centre for Educational Research and Development. Sociologický časopis / Czech Sociological Review, 2021, Vol. 57, No. 6
Description and performance of Bulgarian Emergency Response System in casе of nuclear accident (BERS)

A PC-oriented Emergency Response System in case of nuclear accident (BERS) is developed and works operationally in the National Institute of Meteorology and Hydrology (NIMH) with the Bulgarian Academy of Sciences. The creation and development of BERS was highly stimulated by the ETEX (European Tracer Experiment) project, followed by the European RTMOD (Real-Time Modelling) project. BERS comprises two main parts - the operational and the accidental one, which are applied both to region 'Europe' and region 'Northern Hemisphere' (versions E and NH). The operational part runs automatically. It makes search for the necessary meteorological data received in NIMH via the Global Telecommunication System (GTS) of the World Meteorological Organization (WMO), prepares the input meteorological file used by both trajectory and dispersion models, creates archives with meteorological data base, runs the trajectory models, visualises the results obtained and uploads the maps of trajectories for specified nuclear power plants (NPP) to the web site of NIMH. The operational part runs every 12 hours, after the new meteorological information is received. The accidental part is activated manually when a real radioactive releases in the environment occur or during emergency exercises. Two Bulgarian dispersion models - LED and EMAP are the cores of the accidental part. The concentration and accumulated deposition fields are output by these models. After visualisation the concentration and deposition maps are uploaded to the ftp-server of NIMH for use by the interested institutions. In the paper, the BERS overall structure is described and a number of applications are shown including several runs in the frame of the European 5th Framework Programme Project ENSEMBLE.
Functional Characterization of a Trehalose-6-Phosphate Synthase in Diaphorina citri Revealed by RNA Interference and Transcriptome Sequencing

Simple Summary Trehalose-6-phosphate synthase (TPS) is a key enzyme in regulating trehalose content in the insect hemolymph. The loss or dysfunction significantly affects the growth and development of insects. Diaphorina citri is a notorious phloem sap-sucking pest that can spread huanglongbing between the diseased tree and the healthy tree. The control of huanglongbing mainly depends the management of D. citri. So far, the management of D. citri populations has depended on using chemical pesticides, though pesticide abuse has caused serious problems. Therefore, it necessary to find new targets for D. citri control. In this paper, we identified a TPS gene from Diaphorina citri, and named it DcTPS1. Silencing of DcTPS1 induced an abnormal phenotype, and inhibited chitin metabolism and fatty acid metabolism. Moreover, the mortality and malformation rate significantly increased, and the molting rate decreased after inhibition of DcTPS1. KEGG analysis revealed that upregulated DEGs were mainly responsible for oxidative phosphorylation, whereas downregulated DEGs were mainly related to lysosome and ribosome. Overall, our data suggested that DcTPS1 might play a crucial role for the growth and development of D. citri. Abstract Trehalose-6-phosphate synthase (TPS) plays an important role in the synthesis of trehalose. In the current study, a TPS gene was obtained from Diaphorina citri, and named as DcTPS1 which encoded a protein of 833 amino acid residues. Real-time quantitative PCR (qPCR) analysis revealed that DcTPS1 had the highest expression level in the midgut and fifth-instar nymph stage. Knockdown of DcTPS1 by RNA interference (RNAi) induced an abnormal phenotype and increased mortality and malformation rate with a decreased molting rate. In addition, silencing of DcTPS1 significantly inhibited D. citri chitin metabolism and fatty acid metabolism, while the expression levels of fatty acid decomposition-related genes were downregulated. Furthermore, comparative transcriptomics analysis revealed that 791 differentially expressed genes (DEGs) were upregulated and 678 DEGs were downregulated when comparing dsDcTPS1 groups with dsGFP groups. Bioinformatics analysis showed that upregulated DEGs were mainly involved in oxidative phosphorylation, whereas downregulated DEGs were mainly attributed to the lysosome and ribosome. These results indicated that DcTPS1 played an important role in the growth and development of D. citri.
Learning from Video Games (and Everything Else)

Video games can have many effects on players, some of which could be intentional effects (e.g., games designed to train health compliance behaviors), and most of which are unintentional (e.g., violent games, stereotypes, gaming disorder). Some of these areas of research have been seen as controversial, but many of the controversies can be at least partially resolved by considering the learning mechanisms underlying the effects. We describe the General Learning Model in greater detail than has been provided elsewhere, including short-term and long-term mechanisms, processes of learning and forgetting, and moderators of learning. Video games use many of the best practices to train for both mastery and for transfer of learning. The implications for re-interpreting the literature on violent video games and gaming disorder, as well as for applied social psychology broadly defined, are discussed.
The Forgotten Tool: The Design and Use of Molecular Models

Since the inception of the modern atomic theory, chemists have used physical models to represent the structure of molecules. The goal of this paper is to bring molecular modelling into focus as a constitutive yet overlooked element of chemical practices. It begins with a short technical introduction to molecular models, and then moves into a participant-centred analysis of molecular modelling. Central points of this analysis include, first, a discussion of the dichotomy between graphical and material forms of representation, with suggestions about its consequences for a semiotically-centred view of scientific activity; and, second, a look at the problem of the interpretation of molecular models, as discussed in the chemical literature. The last section focuses on the design of modelling systems through two related historical case studies — namely, the production of two space-filling modelling kits developed in the United States between the late 1930s and the late 1960s.
Effect of Vitamin E Supplement on Bone Turnover Markers in Postmenopausal Osteopenic Women: A Double-Blind, Randomized, Placebo-Controlled Trial

Vitamin E is a strong anti-oxidative stress agent that affects the bone remodeling process. This study evaluates the effect of mixed-tocopherol supplements on bone remodeling in postmenopausal osteopenic women. A double-blinded, randomized, placebo-controlled trial study was designed to measure the effect of mixed-tocopherol on the bone turnover marker after 12 weeks of supplementation. All 52 osteopenic postmenopausal women were enrolled and allocated into two groups. The intervention group received mixed-tocopherol 400 IU/day, while the control group received placebo tablets. Fifty-two participants completed 12 weeks of follow-up. Under an intention-to-treat analysis, vitamin E produced a significant difference in the mean bone resorption marker (serum C-terminal telopeptide of type I collagen (CTX)) compared with the placebo group (−0.003 ± 0.09 and 0.121 ± 0.15, respectively (p < 0.001)). In the placebo group, the CTX had increased by 35.3% at 12 weeks of supplementation versus baseline (p < 0.001), while, in the vitamin E group, there was no significant change of bone resorption marker (p < 0.898). In conclusion, vitamin E (mixed-tocopherol) supplementation in postmenopausal osteopenic women may have a preventive effect on bone loss through anti-resorptive activity.
Identifying, Categorising and Exploring ‘Ælfrician’ Vocabulary Using the Dictionary of Old English, A Thesaurus of Old English and Evoke

Ælfric of Eynsham (c.955×957–c.1010) is one of the most prominent authors of the Anglo-Saxon period. Despite this fact, there has not yet been an exhaustive study into his typical vocabulary. This article employs the Dictionary of Old English and prior scholarship in order to collect and categorise the lexis that is characteristic for his works. This vocabulary is then analysed using the web application Evoke together with A Thesaurus of Old English, which provides insights into the semantic domains that predominate in Ælfric’s vocabulary, as well as the degrees of ambiguity, synonymy and specificity of his typical lexis.
Simplified Approach for Reliability-Based Design against Basal-Heave Failure in Braced Excavations Considering Spatial Effect

This paper presents a simplified approach for reliability analysis of basal heave in a braced excavation considering the spatial variability of soil parameters, The first-order reliability method (FORM) with a variance reduction technique is employed to model the spatial variability in lieu of the conventional random field modeling (RFM). The proposed approach yields results that are comparable with those obtained using the conventional RFM approach that relies on Monte Carlo simulation. The proposed approach requires much less computa- tional effort, is easy to use, and has potential as a practical tool for reliability-based design that has to deal with spatial variability of soils. DOI: 10.1061/(ASCE)GT.1943-5606.0000621. © 2012 American Society of Civil Engineers. CE Database subject headings: Excavation; Safety; Reliability; Probability; Failures; Bracing. Author keywords: Basal-heave; Excavation; Factor of safety; First-order reliability method; Probability; Random field; Spatial variability.
Study of a MOEMS XOR gate based on optical ring resonator

Based on ring resonator with Microelectromechanical systems, optical XOR logic gate is proposed in this paper to realize the optical logic gate application. The proposed gate is basically structured on an optical ring resonator with 7 μm radius and resonance wavelength of 1.55 μm which is placed on the edge of a thin SiC circular diaphragm. In order to apply input voltages to electrodes, two very thin circular gold layers with 50nm air gap spacing are deposited under the diaphragm. Input voltages are considered as logic inputs and resonance wavelength shift as logic output. When an input DC voltage is applied across the diaphragm, an attractive electrostatic force is created between two electrodes. As a result, the diaphragm is deformed and an internal stress is created. This in turn changes the resonator refractive index due to the photoelastic effect and thus shifts its resonance wavelength about 35nm. COMSOL Multiphysics and MATLAB are carried out to verify FEA and numerical analysis of the designed structure, respectively. A good agreement between the simulations and analytical results is obtained. Enhancement of the wavelength shift and FSR are resulted. The proposed structure is used as an optical XOR gate for the first time.
AN UNEQUAL DUAL-FREQUENCY WILKINSON POWER DIVIDER WITH OPTIONAL ISOLATION STRUCTURE

In this paper, we propose a generalized Wilkinson power divider operating at two arbitrary frequencies with unequal power dividing ratio. To achieve unequal power division and perfect matching at dual-frequency, a novel structure consisted of four dual-frequency transformers in two sections is proposed. For the compact power divider, the parallel and series RLC structures can be chosen to obtain effective isolation between the two outports according to different frequency ratios. Furthermore, the closed-form design equations of the unequal dual-frequency power divider are derived based on circuit theory and transmission line theory. Finally, simulation and experiment results of two examples including parallel and series RLC structures indicate that all the theoretical features of these unequal power dividers can be fulfilled at dual-frequency simultaneously.
Indoor Positioning System Based on Standardizing Waveform Tendency

Estimating the indoor position of users in commercial buildings remains a significant challenge to date. Although the WiFi-based indoor localization has been widely explored in many works by employing received signal strength (RSS) patterns as the features, they usually lead to inaccurate results as the RSS could be easily affected by the indoor environmental dynamics. Besides, existing methods are computationally intensive, which have a high time consumption that makes them unsuitable for real-life applications. In order to deal with those issues, we propose to use standardizing waveform tendency (SWT) of RSS for indoor positioning. We show that the proposed SWT is robust to the noise generated by the dynamic environment. We further develop a novel smartphone indoor positioning system by integrating SWT and kernel extreme learning machine (KELM) algorithm. Extensive real-world positioning experiments are conducted to demonstrate the superiority of our proposed model in terms of both positioning accuracy and robustness to environmental changes when comparing with state-of-the-art baselines.