Miracle-dz/UniFAR-FTUs huggingface dataset:
Engineering Design Methods for Service Life Prediction

These two methods exhibit heavy drawbacks. The probabilistic methods and most other tailor made techniques applied are mostly based on probabilistic s and are too elaborate to be used on standard applications such as office buildings or ordinary road bridges. The factor method on the other hand is fairly simple, but identifies the main parameters influencing service life. The result however, is only a single figure for service life and does not take into account at all the variability of the processes involved. Thus within the CIB/RILEM Working Commission 175-SLM: "Service Life Methodologies", three subtask groups were set up under the heading "Performance based methods of service life prediction", one of them with the goal of setting up gene rally applicable "Engineering Design Methods" fitting in between the two methods described above. This was thought to be done either by simplifying scientific models or by expanding the factor method towards the more sophisticated models. The subtask groups have produced state of the art reports to be published in 2002 as a basis document for further developments. As engineering design method, a principle solution is proposed in this paper which can be applied to the factorial method for standard cases as well as to other setups employing mathematical relations for service life. This is achieved by not using plain factors but only, probability density functions instead. These are established using reliable and understandable engineering techniques. Three Examples are shown to illustrate the proposed procedure.
From Short to Medium Range Order in Glasses and Melts by Diffraction and Raman Spectroscopy

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. From Short to Medium Range Order in Glasses and Melts by Diffraction and Raman Spectroscopy James Drewitt, Louis Hennet, Daniel Neuville
Optimal sizing of a stand-alone hybrid photovoltaic/wind system using new grey wolf optimizer considering reliability

In this paper, a methodology of sizing optimization of a stand-alone hybrid PV/wind/battery power generation system (HPWGS) is proposed. The main objective of this optimization is to minimize the total annual cost (TAC) of the hybrid system considering power balanced constraint and determination of the optimal number of wind turbines, PV panels, and batteries. For this purpose, a new meta-heuristic nature-inspired algorithm, called Grey Wolf Optimizer is utilized. The obtained results show that the proposed methodology finds optimal sizing of the HPWGS easily with fast convergence and lower cost. Comparing the results of this new method with the well-known published works in the literature, the superior capabilities of this proposed method are demonstrated. Moreover, the results show that the reliability characteristics are weakened with decreasing the component availability, and the supply reliability of the HPWGS is improved by increasing the inverter efficiency while the TAC is decreased. Furthermore, the HPWGS can cover the load demand variations with high reliability.
Evaluation of the protective effect of melatonin on histological changes in the liver of adult male rats treated with gemcitabine

Melatonin is an endocrine hormone, produced by the pineal gland from the amino acid tryptophan. Melatonin level in the body according to a predetermined cycle and are affected by light received. Gemcitabine is an anti-cancer drug. The mechanism of action of gemcitabine affects the properties of the cellular phase and mainly destroys the cells that are making DNA (phase-s). Nephrotoxic side effects of gemcitabine have been reported in patients receiving this drug medication. Melatonin is a potent free radical scavenger and antioxidant and has protective effects against ischemic damage. The aim of the present study was to investigate the protective effect of melatonin on histological changes in the liver of adult male rats treated with gemcitabine and to evaluate the effects of different doses of melatonin on the protection of adult liver cells treated with gemcitabine. This experimental study was performed on male Wistar rats weighing approximately 250±20g and aged 8 weeks. Mice were randomly divided into 3 main groups. The first group (G1); the control group, received only normal saline. The second group (G2); the treated groups, divided into 2 subgroups T1 and T2, This group received melatonin at doses of 10 and 20 mg/kg and intraperitoneal (IP) with gemcitabine at a dose of 50 mg/kg, respectively. The third group (G3); negative control group, divided into 3 subgroups T3, T4 and T5. Subgroup T3, gemcitabine at 50 mg/kg, and T4 and T5, they received melatonin at doses of 10 and 20 mg/kg, intraperitoneally (IP) respectively. The number of mice in each group was 6 mice. The results obtained from the injection of gemcitabine in groups clearly showed the side and cytotoxic effects in the liver tissue that the most lesions were observed in the subgroup (T3). In the groups receiving melatonin, the amount of these lesions was significantly reduced and the reduction of injuries was directly related to the dose of melatonin. The results of this study show that melatonin is effective in reducing the side effects of gemcitabine.
How Teachers and Leaders Facilitate Integration in a Two-Way Dual Language Immersion Program

Background/Context: Public school enrollment in the United States is becoming increasingly racially and linguistically diverse; however, school segregation continues to intensify across the nation. Within this context, two-way dual language immersion (TWI) programs, which intentionally strive to balance English learners and English speakers, may create a natural opportunity for integration. Research Question: How do teachers and leaders facilitate integrative interactions among students of different racial and linguistic groups in a TWI program? Research Design: This qualitative, holistic, single case study explores the TWI program at Silverthorne Elementary School (pseudonym), a K-5 traditional public school in the southeastern United States. Silverthorne is in a rural community on the outskirts of a large metropolitan area that is a new immigrant destination. At the time of data collection, Silverthorne’s TWI program was in its seventh year of implementation. Participants include 12 teachers, one guidance counselor, and one school leader. We conducted semi-structured individual interviews with all participants, observed eight classrooms, and analyzed supplemental documents. We used inductive coding and ultimately generated four themes to describe how TWI teachers and leaders facilitate integration. Findings: Silverthorne’s TWI program provides an opportunity to facilitate integration among students from different racial and linguistic backgrounds. The nature of these integrative experiences is shaped by the structure of the TWI program, the teachers’ conceptualizations of diversity, the teachers’ pedagogical and curricular decisions, and the school leader’s support of the TWI program. Conclusion: Although teachers and leaders in the Silverthorne TWI program have promoted integration in numerous ways, they also have missed important opportunities to facilitate greater integration. Nonetheless, this TWI program illustrates the potential of TWI to provide opportunities for students from different racial and linguistic backgrounds to learn together in a truly integrated environment. Findings suggest the need for enhanced professional development regarding how to facilitate integration in diverse classrooms as well as future research to understand how, if at all, integration is considered when districts and schools are designing and implementing TWI programs.
Classification of pancreatic tumors using colored two-dimensional histograms from ultrasound endoscopic images

The diagnosis using a time-intensity curve (TIC) is considered to be useful in the differentiation of pancreatic tumors. TIC is a graph that shows a contrast intensity of contrast-enhanced endoscopic ultrasonography over time. We propose a method to classify pancreatic tumors, which generates and uses two types of images representing a contrast effect from ultrasound endoscopic images. The first type is a two-dimensional histogram that adds information about a distribution of luminance values per frame to TIC which features a contrast effect over time. The second type is a frame with the highest average luminance value among all frames of each case. The frame featured a contrast enhancement pattern of the tumor. The features of the two images were extracted using deep learning. The two extracted features were combined by a concatenate layer. The combined feature outputs by a fully connected layer as the probability of pancreatic cancer. In this study, 131 cases with pancreatic tumors (pancreatic cancer: 86 cases, non-pancreatic cancer: 45 cases) were used. As a result of receiver operating characteristic analysis of the output probability, the area under the curve was 0.82, the sensitivity was 80.2%, and the specificity was 71.1%.
Biodegradation of Low-Density Polyethylene (LDPE) Bags by Fungi Isolated from Waste Disposal Soil

Plastics are available in different shapes nowadays in order to enhance the living standard. But unfortunately, most of these plastics are synthetic in nature that is why they show resistance to physical and chemical degradation processes and enhance environmental hazards. The aim of the present research study was to isolate and identify beneficial fungal species from soil that have the capability to degrade plastic. Soil samples from a waste disposal site at Peshawar district were diluted and inoculated on sabouraud dextrose agar (SDA) and potato dextrose agar (PDA) for fungus isolation. After isolation, the identifications of fungal species were done using standard identification techniques such as colony morphology and microscopic examination. The isolated fungal species that were identified were Aspergillus Niger, Aspergillus flavus, Penicillium, white rot, and brown rot fungi. After isolation, a degradation experiment was conducted to evaluate the capability of fungal isolates towards degradation of plastic. For this purpose, a 2 cm2 plastic piece was treated with fungal isolates for one month in a liquid culture system. The weight loss percentage was estimated at 22.9%, 16.1%, 18.4%, and 22.7% by Aspergillus Niger, Aspergillus flavus, brown rot, and white rot, respectively, which was confirmed by the Fourier transform analysis. The obtained FTIR peaks revealed the C–H bond deformation in alkenes, ketones, and esters. It has been concluded from the study that fungal species play a significant role in the degradation of synthetic plastic which can be used in bioreactors in future studies for the degradation of complex plastic materials.
Developing an effective mathematical model for leadership styles selection by using fuzzy logic: a case on RIPI HR characteristics

Different groups of employees are managed differently and may require different leadership styles based on human resource characteristics, including uniqueness and strategic value of human capital. Choosing concurrent leadership style is one of the most important phases of the strategic human resource management (SHRM), which attracted increasing attention of many researchers. Literature review reveals that there are four leadership styles consisting of transformational, empowering, directive and transactional. In this paper, an effective mathematic model is developed to determine the appropriate leadership styles for organisations according to human resource characteristics. This model is based on a fuzzy logic with data from Research Institute Petroleum Industry (RIPI) HR characteristics to show how it can be employed in reality.
A Low-Profile Microstrip Vertically Polarized Endfire Antenna With 360° Beam-Scanning and High Beam-Shaping Capability

A novel low-profile vertically polarized planar endfire smart antenna that can achieve 360° beam-steering and high beam-shaping capability is proposed. The microstrip antenna is printed on a single thin substrate with a vertically polarized omnidirectional driven source and 36 tunable slot-integrated microstrip vertically polarized resonators (SMVR) for shaping the endfire beams. To verify the design approach, a prototype operating at the 5 GHz WLAN band is fabricated and tested. The results show that the antenna operates from 5.55 to 5.75 GHz and is capable of scanning a single endfire beam from 0° to 360° in the full azimuth plane. The scanning resolution and the maximum realized gain are 15° and 8.2 dBi, respectively. Moreover, multiple radiation pattern shapes including omnidirectional beam, dual-beams, and tri-beams can also be generated by the antenna. The overall antenna height is only $0.06~\lambda $ at 5.6 GHz. This design provides a new antenna configuration for low-profile vertically polarized endfire beam-steering and beam-shaping antenna and is promising for future wireless communication systems with lost-cost beamforming property.
Voxel-Based Solution Approaches to the Three-Dimensional Irregular Packing Problem

Packing Three-Dimensional Irregular Objects Because of its many applications in practice, the cutting and packing literature is extensive and well established. It is mostly concerned with problems in one and two dimensions or with problems where some regularity of the pieces is assumed (e.g., packing boxes). However, the rise of applications in the realm of three-dimensional printing and additive manufacturing has created a demand for efficient packing of three-dimensional irregular objects. In “Voxel-Based Solution Approaches to the Three-Dimensional Irregular Packing Problem,” Lamas-Fernandez, Martinez-Sykora, and Bennell propose a series of tools to tackle this problem using voxels. These include geometric tools, a mathematical model, local search neighborhoods, and details on implementation of metaheuristic algorithms. These tools are tested extensively, and computational results provided show their effectiveness compared with state-of-the-art literature.
Analysis of stressed interconnected power networks. Final report

Today`s heavily loaded and stressed power transmission networks exhibit complex dynamic behavior when subjected to small or large disturbances. When subjected to small disturbances, the main concern is the power system conditions which lead to the phenomenon known as interarea mode oscillations. These modes are influenced by states of generators and associated controls which are electrically and physically far away from each other. In this project normal forms of vector fields are used to identify the nonlinear interaction among the power system natural modes of oscillation. These interactions are then quantified in terms of the modal solutions in the original system states. Second order analysis shows potentially large interactions, identifies the interacting modes and gives the machines involved in this interaction. The application of normal form analysis to power system dynamics results in a correction to the linear picture seen using Eigenanalysis. The effect of the nonlinear modal interactions on control performance is also analyzed. The normal form analysis is used to pinpoint the modes associated in the interaction and the extend to which they interact. As a result, relevant control modes which have influence on the interarea mode could be identified. Steps could then be taken to appropriately designmore » and select control parameters taking into account the nonlinear nature of the interaction. The normal form approach has been tested on two power networks: a two area, four generator system and the 50-generator IEEE test system. The results obtained demonstrate the efficacy of the technique and illustrate its potential in incorporating nonlinear effects in the design and analysis on control components. « less
PENGARUH PROMOSI KESEHATAN DENGAN MEDIA POSTER TERHADAP PENGETAHUAN IBU TENTANG KANKER PAYUDARA

According to the World Health Organization (WHO) in 2013 in Depkes RI (2015), the incidence of cancer in the year 2008 to 2012 has increased from 12.7 million cases increased to 14.2 million cases. The purpose of this study is to determine the Influence of Health Promotion By method of posters against the knowledge of mothers about breast cancer. The method in this research is queasy experimental with pre-test and post-test group design. This study was conducted in Environment II the Village of Tanjung Gusta Medan which was held in June 2019. The population of the study was 322 people, the sampling technique using random sampling with the solving formula. Methods collection data in this research use the primary data i.e. the pre-test and post-test. Data analysis was used in univariate and bivariate with the Chi-Square test. The results of this study indicate the pre-test some mothers are knowledgeable both as much as 4 people (17.4%), and post-test as many as 15 people (65.2%), knowledgeable enough at the time of the pre-test as many as 18 people (78.3%), and post-test as many as 6 people (26.1%), and less knowledgeable at the time of the pre-test as many as 1 person (4.3%), post-test as much as 2 people(8.7%). Based on this research concluded that a good knowledgeable in knowing the definition of breast cancer, the factors that cause breast cancer, how to prevent breast cancer, and how to perform a breast cancer screening
Competition between Sliding and Peeling of Graphene Nanoribbons under Horizontal Drag

In the process of graphene nanoribbons’ (GNRs) preparation and measurement, mechanical methods such as lifting and dragging are inevitably used to move GNRs, and manipulation of GNRs using these approaches results in intriguing responses such as peeling and sliding. Understanding the mechanical behaviors of GNRs is crucial for the effective use of mechanical deformation as a tool for the measurement and characteristics of low-dimensional material properties. Here, we explore intricate coupling behaviors of peeling and sliding of GNRs under horizontal drag. Using molecular dynamics simulation, we explore effects of lifting height, dragging velocity, length, and orientation of GNRs on mechanical behaviors. We reveal a competition between sliding and peeling of GNRs under horizontal drag and provide a phase diagram. The peeling behavior is found to be originated from the decrease of sliding velocity caused by the sinking of tail atoms. The results not only advance our insightful understanding of the underlying mechanism of different mechanical responses of GNRs but may also guide the precise manipulations of nano surfaces and interfaces.
Data-Driven Synthesis of Study Plans

A study plan for an educational course refers to the choice of concepts to be covered and the organization and sequencing of course content. While a good study plan is essential for the success of any course offering, the design of study plans currently remains largely a manual task. We present a novel data-driven method, which given a list of concepts can automatically propose candidate plans to cover all the concepts. The output of our method both identifies which concepts should be studied together and how students should move from one group of concepts to another. For our experimental validation, we use a dataset that contains a list of concept names from the field of physics. We find that our method is able to produce good plan.
Air Pollution and Ischaemic Stroke

Air pollution is a significant contributor of cardiovascular diseases, including ischaemic stroke (IS), with substantial mortality and morbidity. However, associations between air pollution and IS remain unclear. Limited data are available on the relationship between IS and individual air pollutants. In this systematic review, we present an overview of the current literature about various individual ambient air pollutants that are believed to contribute towards incidence of hospitalization and mortality related to IS.
Disputing Citizenship

ly universal statements of citizenship’s ‘essence’ and merely accumulating instances of its diversity. On the one hand, we reject the possibility of an act of theoretical purification that announces a new and better definition of citizenship. On the other hand, cataloguing as many instances of citizenship as we can find is not an attractive prospect for intellectual work and always leaves open the possibility of the undiscovered to disrupt the catalogue (and its pretensions to completeness). That is to say, if citizenship is now increasingly recognised as a contested idea, this diversity not only involves a multiplicity of views, but also entails disputes between distinct, divergent or even antagonistic meanings. Specific contexts typically contain such conflicting conceptions of citizenship – and the associated attempts to install them as the recognised, legitimated and institutionalised form. Such conflicts continue even after one conception of citizenship has been institutionalised; it remains the focus of further efforts to challenge, inflect or translate it. If this is true about citizenship in practice, it is equally true for its analysis. For us, working on citizenship means that we must always talk about: imperfect (imparfaite) citizenship . [this] is not only suggesting that citizenship is a defective, rectifiable, improvable institution, it is above all suggesting that citizenship is rather a practice and a process than a stable form. It is always ‘in the making’. (Balibar, 2001: 211; emphasis in original) We have found ourselves returning time and again to this idea of Balibar’s: thinking of citizenship as always, everywhere, unfinished/ imperfect is a powerful way of keeping the location of citizenship in practices and processes visible. This understanding of ‘imperfect/ imparfaite’ is, we think, rather different from T.H. Marshall’s (1950: 29) conception of citizenship as an ideal: ‘an image of an ideal citizenship against which achievements can be measured and towards which aspirations can be directed’. There, citizenship is the normative pole, and progress towards it can be measured along a linear scale. The proliferation of focal points of citizenship struggles – for example, cultural citizenship (Rosaldo, 1999), sexual citizenship (Richardson, 2000), intimate citizenship (Plummer, 2003), genetic citizenship (Heath et al., 2004) or environmental citizenship (Dobson, 2003) – is precisely evidence of the ‘imperfection’ of citizenship. What these adjectival qualifications reveal is the multiplication of places, people, sites and
UAV AERIAL SURVEY: ACCURACY ESTIMATION FOR AUTOMATICALLY GENERATED DENSE DIGITAL SURFACE MODEL AND ORTHOTHOTO PLAN

Abstract. A dense digital surface model is one of the products generated by using UAV aerial survey data. Today more and more specialized software are supplied with modules for generating such kind of models. The procedure for dense digital model generation can be completely or partly automated. Due to the lack of reliable criterion of accuracy estimation it is rather complicated to judge the generation validity of such models. One of such criterion can be mobile laser scanning data as a source for the detailed accuracy estimation of the dense digital surface model generation. These data may be also used to estimate the accuracy of digital orthophoto plans created by using UAV aerial survey data. The results of accuracy estimation for both kinds of products are presented in the paper.