Miracle-dz/UniFAR-FTUs huggingface dataset:
A STUDY OF BUILDING PERFORMANCE INSPECTION BASED ON A COMBINATION OF SITE-SPECIFIC RESPONSE ANALYSIS AND STRUCTURAL ANALYSIS (A CASE STUDY OF THE LIGHTHOUSE VIEW TOWER IN BENGKULU CITY, INDONESIA)

This paper presents the implementation of site-specific analysis in observing the performance of a monumental building in Bengkulu City, Indonesia that is called the Lighthouse View Tower. This building was inaugurated in 2012. So far, it is still necessary to present the issue related to the performance of the building after 10 years. The objective of this study is to observe the performance of the building after the strong earthquake occurred. This study is first conducted by performing a site investigation. The information related to the soil profile; ground motion of the strong earthquake that occurred in Bengkulu City is collected. Furthermore, the site-specific response analysis is conducted on the site where the building stands. The results from site-specific response analysis, i.e. the actual spectral acceleration is obtained. The spectral acceleration is then used as the input parameter for finite element analysis to observe the performance of the building. The main goal of this study is to observe the structure health condition. The results show that during the strong earthquake, the structure of the view tower is still reliable and in good condition. Concern regarding the building maintenance should be emphasized. In general, the method implemented in this study could be used as the method to assess the performance of structures in other areas.
Surface Preparation and Treatment for Large-Scale 3D-Printed Composite Tooling Coating Adhesion

Recent advances in large-scale thermoplastic additive manufacturing (AM), using fused deposition modelling (FDM), have shown that the technology can effectively produce large aerospace tools with common feed stocks, costing 2.3 $/kg, such as a 20% carbon-filled acrylonitrile butadiene styrene (ABS). Large-scale additive manufacturing machines have build-volumes in the range of cubic meters and use commercially available pellet feedstock thermoplastics, which are significantly cheaper (5–10 $/kg) than the filament feedstocks for desktop 3D printers (20–50 $/kg). Additionally, large-scale AM machines have a higher material throughput on the order of 50 kg/h. This enables the cost-efficient tool production for several industries. Large-scale 3D-printed tooling will be computerized numerical control (CNC)-machined and -coated, to provide a surface suitable for demolding the composite parts. This paper outlines research undertaken to review and improve the adhesion of the coating systems to large, low-cost AM composite tooling, for marine or infrastructure composite applications. Lower cost tooling systems typically have a lower dimensional accuracy and thermal operating requirements than might be required for aerospace tooling. As such, they can use lower cost commodity grade thermoplastics. The polymer systems explored in the study included polypropylene (PP), styrene-maleic anhydride (SMA), and polylactic acid (PLA). Bio-based filler materials were used to reduce cost and increase the strength and stiffness of the material. Fillers used in the study included wood flour, at 30% by weight and spray-dried cellulose nano-fibrils, at 20% by weight. Applicable adhesion of the coating was achieved with PP, after surface treatment, and untreated SMA and PLA showed desirable coating adhesion results. PLA wood-filled composites offered the best properties for the desired application and, furthermore, they have environment-friendly advantages.
A two-dimensional method for a family of dispersive shallow water models

We propose a numerical method for a family of two-dimensional dispersive shallow water systems with topography. The considered models consist in shallow water approximations without the hydrostatic assumption-of the incompressible Euler system with free surface. Hence, the studied models appear as extensions of the classical shallow water system enriched with dispersive terms. The model formulation motivates to use a prediction-correction scheme for its numerical approximation. The prediction part leads to solving a classical shallow water system with topography while the correction part leads to solving an elliptic-type problem. The numerical approximation of the considered dispersive models in the two-dimensional case over unstructured meshes is described, it requires to combine finite volume and finite element techniques. A special emphasis is given to the formulation and the numerical resolution of the correction step (variational formulation, inf-sup condition, boundary conditions,. .). The numerical procedure is confronted with analytical and experimental test cases. Finally, an application to a real tsunami case is given.
Do domestic firms benefit from geographic proximity with FDI? Evidence from the privatization of the Czech glass industry

This paper analyzes the effects of geographical proximity and agglomeration of FDIs (foreign direct investments) on domestic firms in the privatized glass sector in the Czech Republic. The motivation for this research is based on the scant evidence in Central and Eastern Europe of the effects of geographical proximity and agglomeration on the productivity of domestic firms. This study aims to explain how spillovers are transferred from FDIs to domestic firms. The econometrical analysis, using original panel data from 1990 to 2006, provides evidence that the agglomeration of FDIs has a negative and significant effect on the productivity of domestic firms in the glass sector at a 5% level. The effect of geographical proximity to FDIs is significant at a 10% level but not in all models. The results support the importance of geographic proximity and agglomeration of FDIs and conform with the evidence that shows that FDIs have produced negative spillovers on domestic firms in transition countries.
Response to Reviewers Comments on “ Nonlinear effects in 4 D-Var ” by

The ability of a data assimilation system to deal effectively with nonlinearities arising from the prognostic model or 5 the relationship between the control variables and the available observations has received a lot of attention in theoretical studies based on very simplified test models. Less work has been done to quantify the importance of nonlinearities in operational, state-of-the-art global data assimilation systems. In this paper we analyse the nonlinear effects present in ECMWF 4D-Var and evaluate the ability of the incremental formulation to solve the nonlinear assimilation problem in a realistic NWP environment. We find that nonlinearities have increased over the years due to a combination of increased model resolution and the ever10 growing importance of observations that are nonlinearly related to the state. Incremental 4D-Var is well suited for dealing with these nonlinear effects, but at the cost of increasing the number of outer loop relinearisations. We then discuss strategies for accommodating the increasing number of sequential outer loops in the tight schedules of operational global NWP.
The testing of common risk factors toward portfolio’s excess return

This study aims to examine common risk factors' effects in the Fama and French Five-Factor Model plus Momentum Factor on The Bisnis-27 Index Stocks component during the 2016-2020 period. This research's common risk factors include market risk premium, firm size, book-to-market equity ratio, profitability, investment, and momentum. A quantitative approach will be used in this study by using multiple linear regression. The regression in this study was generated by the common effects model method. This study reveals that a portfolio's excess return is simultaneously affected by common risk factors that are in place this study. The findings in this study show that market risk premium, book-to-market ratio, company size, and momentum positively affect portfolios' excess returns. The greater the market risk premium, the smaller the size of the company, the larger the book-to-market ratio, and the stock's past performance, as reflected by the momentum, has implications for the acquisition of a larger excess return on the portfolio. Meanwhile, there is no significant influence between profitability and investment factor on portfolios' excess returns.
Transcription Free LSTM OCR Model Evaluation Anonymous

In recent years there has been significant progress in the field of Optical Character Recognition (OCR), mainly due to the use of various LSTM-based architectures. In the classic supervised training setup for LSTM-based OCR, the available image data and corresponding transcription is split into a training, a validation and a test set. Especially in the context of historical documents generating these transcriptions can be very costly, therefore minimizing the required transcribed data or maximizing the size of the training set to generate better models are desirable. We propose a novel method to evaluate LSTM OCR-models without requiring transcription ground truth data. For this we employ a second LSTM in an encoder-decoder setup to recreate the image data from the OCR output and evaluate the model based on its difference to the original input. We show that this approach performs similar to traditional transcription based evaluation on a historical document from the 16th century.
Precise Identification of Coal Thickness by Channel Wave Based on a Hybrid Algorithm

Precise prediction of coal thickness is of the utmost importance in realizing intelligent and unmanned mining. As the channel wave is characterized by an easily recognizable waveform, a long propagation distance, and strong energy, it is widely used for coal thickness inversion. However, most traditional inversion methods are local in nature, and the inversion result is probably not optimal in the global scope. This paper introduces the GA-SIRT hybrid approach, which combines Genetic Algorithms (GA) and Simultaneous Iterative Reconstructive Techniques (SIRT) in order to deal with the above problem and to improve the accuracy of coal thickness inversion. The proposed model takes full advantage of the strong global search capability of GA and of the fast local convergence rate of the SIRT. Moreover, it inhibits the poor local search ability and the local optimal value effect of the GA and the SIRT respectively. The application of the GA-SIRT in the Guoerzhuang coal mine has significantly enhanced its accuracy, stability, and overall computational efficiency. Hence, the introduced novel hybrid model can precisely resolve and identify the coal thickness according to the channel wave. It can also be extended to other geophysical tomographic inversion problems towards the reduction of potential local optimal solutions.
Sensor-Based Prototype of a Smart Assistant for Visually Impaired People—Preliminary Results

People with visual impairment are the second largest affected category with limited access to assistive products. A complete, portable, and affordable smart assistant for helping visually impaired people to navigate indoors, outdoors, and interact with the environment is presented in this paper. The prototype of the smart assistant consists of a smart cane and a central unit; communication between user and the assistant is carried out through voice messages, making the system suitable for any user, regardless of their IT skills. The assistant is equipped with GPS, electronic compass, Wi-Fi, ultrasonic sensors, an optical sensor, and an RFID reader, to help the user navigate safely. Navigation functionalities work offline, which is especially important in areas where Internet coverage is weak or missing altogether. Physical condition monitoring, medication, shopping, and weather information, facilitate the interaction between the user and the environment, supporting daily activities. The proposed system uses different components for navigation, provides independent navigation systems for indoors and outdoors, both day and night, regardless of weather conditions. Preliminary tests provide encouraging results, indicating that the prototype has the potential to help visually impaired people to achieve a high level of independence in daily activities.
Erratum Simulation and experimental study of texture in domains in lipid bilayers

Lateral organization of the cellular plasma membrane is of great importance because it plays a vital role in the function of biological cells. In vivo studies of cellular membranes are very difficult and the study of supported model membranes and important first step towards understand similar processes in real biological cell membranes. In this master thesis the lateral organization of lipids within the membrane is studied as it goes through an Lα → Lβ′ phase transition induced by cooling of the membrane. Previous studies of this have found that lipid bilayer consisting of two different species of lipids exhibit formation of solid gel domains and that these gel domains contain orientational texture in form of the lipids tilting with respect to the membrane normal. Qualitative and quantitative studies of shape and texture of the gel domains exist, but none of them try to model how they come into being. In this thesis a model for the growth of the domains is presented which qualitatively reproduces both texture and shape of the domains. The model is based on a number of experimental observations made. The growth of the domains is recognized to be limited by diffusion in them membrane and based on that a diffusion limited aggregation model is proposed to model the growth of the domains. Experimentally it is also found that there is no coupling between englishthe texture and the shape of the domains. The question of whether the domains are stable structures in equilibrium is answered. On a time scale of hours the intrinsic shapes they form during growth is stable but on a time scale of days they are not stable and relax into more rounded shapes with more uniform texture. A number of interesting questions for future simulation studies are raised.
In Silico Sequence Analysis and Homology Modeling of Dihydropteroate Synthase in Pneumocystis Pneumonia

Pneumocystis pneumonia (PCP) remains a leading opportunistic infection in patients with weakened immune system. The fungus causing the infection belongs to the genus, Pneumocystis, and its members are found in a large variety of mammals. Although Pneumocystis carinii pneumonia is one of the leading causes of morbidity and mortality among patients with the acquired immunodeficiency syndrome, many questions about its epidemiology and transmission remain unanswered. Pneumocystis is classified as a fungus and is host-species specific, but an understanding of its reservoir, mode of transmission, and pathogenesis is incomplete. dihydropteroate synthase has been targeted in Pneumocystis pneumonia (PCP) disease DHPS is part of a trifunctional protein along with dihydroneopterin aldolase and hydroxyl methyl dihydro pterinpyrophospho kinase, two other enzymes in the folic acid biosynthesis pathway Sulfa resistance has evolved in numerous bacterial pathogens as well as in the malaria parasite, Plasmodium falciparum.In this present study, Structural characterization carried out the by various In silico tools. The predicted three dimensional structure depicts the structure based drug design.
Innovative Solutions for Renewable Energy and Energy Efficiency in 
Jordan

The aim of this paper is to specify people’s awareness, acceptance and needs for the Renewable Energy (RE) and Energy efficiency (EE) innovations in Jordan. This took place after having studied the most influential innovations on RE and EE in Germany, Spain and Turkey. Then, two suitable innovations were selected; in particular, PV mobile charger and sodium light unit regulator. Our research was based on the analysis of qualitative interviews and a questionnaire. The results showed that (53%) are willing to buy PV mobile charger depending on its life cycle and efficiency even if it is expensive. About (89%) of respondents realized that it is important to develop and support the EE innovative solution of using sodium regulator in lighting the streets by the municipalities, and about (49%) would like to take practical steps for the RE and EE developments if they could. The results also show that all respondents are willing to pay extra cost to obtain green energy; (20%) want the cheapest possible solution in this regard. the study results indicate that Jordanian people do expect more from the public sector about renewable energy production; whereas a large percentage (63%) thinks that public sector should take the first step towards renewable energy production. The acceptance and awareness of the society on RE and EE innovations is one of the most important drivers towards the transition to RE and EE in Jordan.
A RELATIONSHIP BETWEEN AGN JET POWER AND RADIO POWER

Using Chandra X-ray and Very Large Array radio data, we investigate the scaling relationship between jet power, Pjet, and synchrotron luminosity, Pradio. We expand the sample presented in Bîrzan et al. to lower radio power by incorporating measurements for 21 giant elliptical galaxies (gEs) to determine if the Bîrzan et al. Pjet–Pradio scaling relations are continuous in form and scatter from gEs up to brightest cluster galaxies. We find a mean scaling relation of Pjet ≈ 5.8 × 1043(Pradio/1040)0.70 erg s−1 which is continuous over ∼6–8 decades in Pjet and Pradio with a scatter of ≈ 0.7 dex. Our mean scaling relationship is consistent with the model presented in Willott et al. if the typical fraction of lobe energy in non-radiating particles to that in relativistic electrons is ≳100. We identify several gEs whose radio luminosities are unusually large for their jet powers and have radio sources which extend well beyond the densest parts of their X-ray halos. We suggest that these radio sources are unusually luminous because they were unable to entrain appreciable amounts of gas.
Why Do Neighbors Fight? Proximity, Interaction, or Territoriality

Most interstate wars are fought or begin between neighbors. This relationship between contiguity and war has long been known, but ignored within peace research. The major reason for this is that it has been seen as essentially a trivial relationship, reflecting the opportunity for war rather than the real underlying cause of war. Recent work on territory and the issues over which wars are fought has begun to question that interpretation. This article maintains that the clustering of war among neighbors may be theoretically significant. It presents a territorial explanation of the relationship and juxtaposes it with the proximity and interaction explanations. Each of the three explanations is appraised in terms of explicit criteria to see which is the most adequate. Ultimately, however, each explanation must specify a set of tests that would falsify it, and this article does so for the territorial explanation. The article concludes with some implications for peace in the post-Cold War era if the theoretical explanation is correct.
Investigation of Techno-Stress Levels of Teachers Who Were Included in Technology Integration Processes.

Techno-stress is defined as a modern adaptation disorder resulting from the failure in coping with new technologies in a healthy way. Techno-stress affects many occupational groups, including teachers. FATIH project and many other previous studies conducted in Turkey in recent years have necessitated the use of technology for teachers. The present research investigates the techno-stress levels of teachers in these processes. Techno-stress scale for teachers was conducted on 370 teachers from different levels of education and branches in 2015-2016 school years. According to the findings obtained in the present research, general techno-stress levels of teachers were medium level, and in terms of sub-scales, teachers had medium level learning-teaching process oriented, technical issue oriented and social oriented techno-stress, and low level profession oriented and personal oriented techno-stress. In terms of demographic variables, general techno-stress levels of teachers didn’t vary by gender and length of service, and varied by average Internet use time variable.
Consumer Perception Towards Meat Safety: Confirmatory Factor Analysis

This study was conducted to analyze consumers’ perceptions on meat safety. The results indicate that the main determinants of consumer perceptions are government’s safety awareness, campaigns and health conscious. Therefore, from the practical standpoint, it suggests that responsible parties should focus their attention on the development of products that have attributes such as proper packaging, labelling and GMP guaranteed in order to increase positive perception of meat safety among customers.
Comparative study on DPPH free radical scavenging and alpha-glucosidase inhibitory activities of ethanolic extracts from different parts of durian plant (Durio zibethinus Murr.)

F U L L P A P E R Comparative study on DPPH free radical scavenging and alpha-glucosidase inhibitory activities of ethanolic extracts from different parts of durian plant (Durio zibethinus Murr.) Evary, Y.M. , Nugroho, A.E. and Pramono, S. Master of Pharmaceutical Science, Faculty of Pharmacy, Universitas Gadjah Mada, 55821, Indonesia Department of Pharmacognosy and Phytochemistry, Faculty of Pharmacy, Hasanuddin University, 90245, Makassar, Indonesia Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy Universitas Gadjah Mada, 55821, Yogyakarta, Indonesia Department of Biology Pharmacy, Faculty of Pharmacy, Universitas Gadjah Mada, 55821, Yogyakarta, Indonesia
TOMATO FIBRE AS POTENTIAL FUNCTIONAL FOOD INGREDIENTS

Vegetables are a very important element of the human diet due to the fact that they are carriers of many bioactive substances. Tomatoes are among them as a valuable source of dietary fibre, antioxidants (carotenoids, flavonols, vitamin C, tocopherol). Unused tomato waste resulting from the production of juice and paste can be used for making functional foods. The aim of the research was to characterise tomato fibre as a carrier of bioactive substances and assess its usefulness as a functional component of foodstuffs. Our research results showed that tomato pomace is a rich source of dietary fibre and in particular of its active fractions. However, the expected amounts of carotenoids including lycopene were not found out in them. Still it reveals an ability to bind metal cations. The tomato preparation can be regarded as a potential functional food additive. MŁÓTO POMIDOROWE JAKO POTENCJALNY FUNKCJONALNY SKŁADNIK ŻYWNOŚCI