Miracle-dz/UniFAR-FTUs huggingface dataset:
Sustainable and Functional Architecture in Rural Areas: Case studies of Abyaneh and Masouleh in Iran

Environmental and natural restrictions affect economic growth and show themselves as either shortages in the sources of natural resources or lack of sufficient and appropriate facilities to absorb wastes and industrial pollution. Therefore, shortages of raw materials and increasing damages to natural environment has made many scientific fields to think of the ways decreasing such a risk. Accordingly, sustainability concepts and sustainable development has come to agenda in diverse fields as well as architecture in recent decades. Although sustainability seems to be a new concern in diverse fields as well as architecture, by analyzing some of historical constructions constructed by our predecessors many centuries ago, we can see that such a concept has a long history and a rich background in vernacular and traditional architecture. Studying the valuable achievements of predecessors, which are the result of accumulated experience based on elaborately knowing their nature, can be guiding in deciding for appropriate usage of technology in a sustainable way. In this research, values of sustainable design is handled regarding Iranian traditional and vernacular architecture focusing on two popular rural areas with a rich historical and architectural background called Abyaneh village located in central part of Iran with a hot and arid climate and Masouleh located in northern part of Iran. Both of these case studies can be considered as significant examples of vernacular sustainable design with adaptation to nature. Firstly climatic and geographic characteristics of both areas are introduced and then the appropriate architecture compatible with those conditions are analyzed to put it in context of sustainability concepts being more of concern in today’s world. The objective of this research is to demonstrate the sustainable methods used in vernacular architecture of these two rural areas which can be inspiring in today designs as well and tries to demonstrate that appropriate integration of today’s technology with achievements of the vernacular architecture, not only will result in less consumption of energy and natural resources but also will insure more healthy and sustainable future.
Contribution of Dual-Energy X-Ray Absorptiometry in Paediatrics, and Suggestions for the Analysis of the Exams

Citation: PM. Braillon, Phd, MD. “Contribution of Dual-Energy X-Ray Absorptiometry in Paediatrics, and Suggestions for the Analysis of the Exams”. EC Paediatrics SI.01 (2017): 21-24. The development of X-ray absorptiometry (DXA) has been an important contribution to quantitative radiological exploration of the spine and hip [1]. A second important step was the use of this new technique to make total-body measurements of the entire skeleton and soft tissues [2]. In more recent years, with the evolution of computers, whole body exams can be done fast enough to be used in Paediatrics, and DXA is now a very useful tool for monitoring growth as well as treatment in almost all paediatric specialties. The technique is indeed very reproducible. Moreover, the radiation dose delivered to the patient is low [3]. However, there are two aspects to consider: the reference values to be used to interpret the results and the possible differences in these values between devices of different brands or series. The most common reference values are generally given according to age. However, in children and adolescents significant differences in morphology can be seen at the same age. It is therefore better to refer to the size (H) and/or weight (W) of the patient to analyze the exams. To best solve the second point, phantom measurements are usually done. However, it is necessary to use phantoms whose shape and distribution of X-ray absorbing materials are as close as possible to anatomical reality [4].
Cariogram – A Multi-factorial Risk Assessment Software for Risk Prediction of Dental Caries

model. The risk model is used to deter mine the causative caries factors called risk factors but it cannot predict the caries outcome. The pre diction model estimates the risk of car ies progression in the future. Risk models counting multiple variables result in better predictions as the disease process is multifactorial. The most commonly used statis tical methods for caries risk assessment are multiple regression analyses. 4 Caries preventive measures must be integrated based on knowledge and understanding of the predicted risk. Caries risk assessments during treatment aids as a monitor for the success of the treatment. They may also be very valuable for screening populations in community preventive programs. In ignite of today’s prominence on health care reform, dental insurers may eventually use risk assessment to determine a patient’s bene ﬁ t package. For
Persistence of ‘Survival Skills’ as a Risk Factor for Suicide in Severely Traumatised Individuals

Although suicidality is not a diagnostic criterion for PTSD, in clinical practice this condition is often present in particular with those patients who had experienced prolonged or repeated traumatisation. Severely traumatised patients might find suicide as an ‘emergency solution’ in order to escape from the ‘persistence of trauma environment’ that continues into the post-trauma time. Chronic trauma causes identity diffusion, fragility and a feeling of discontinuity, with severely disrupted/shattered self-cohesion, interpersonal relationships and existence. In this study among 24 severely traumatised patients (prisoners of war) it was found evidence of the persistence of five ‘survival skills’: betrayal/detachment, untrustworthiness of perception, traumatic moment, mobilisation for danger, and non-aliveness/vitality which could be a risk factor for the suicidality.
Food Sci Nutr Technol 2018, 3(1): 000140

Turmeric and clove are considered to be rich sources of phenolic compounds that can be used to replace synthetic antioxidants in fatty foods. Therefore the use of clove and turmeric extracts as natural antioxidants in peanut butter has future prospects. The main objective of this study was to preserve peanut butter with turmeric and clove ethanol extracts as natural antioxidants. The prepared peanut butter (PB) was preserved at 25°C with 100 ppm each of turmeric and clove extracts; mixtures of turmeric and clove in ratios 1:1, 1:3 and 3:1 respectively. Butylated hydroxyl anisole (BHA) was used as a control in another sample. Peroxide values (PV) and antioxidant effectiveness (AE) of extracts on the samples were determined on the first day and every 7 days for 28 days. Sensory analysis was carried out on various samples of peanut butter before and at the end of storage period using a 9-point hedonic scale. Peroxide values for all samples at the beginning of storage were 0. At the end of the storage period, untreated peanut butter showed the highest peroxide value (23.33 meq/kg). The PB sample treated with clove extract gave the least PV (8.33meq/kg); however there was no significant difference (p≤0.05) between this value and those obtained for peanut butter preserved with turmeric extract (11.67meq/kg) Butylated hydroxyl anisole (10.00meq/kg) and sample containing turmeric and clove in ratio 1:3 (15.00meq/kg). Similarly antioxidant effectiveness was highest in peanut butter sample containing 100ppm clove extract (66.68%) and least for peanut butter containing mixtures of turmeric and clove in ratio 1:1 (13.32%). In terms of general acceptability sample with BHA received the highest score and there were no significant differences (p≤0.05) among the peanut butter samples containing clove extract at 100 ppm and samples with BHA and one with mixture of turmeric and clove extracts in ratio 1:3. It can be concluded that 100ppm clove ethanol extract was the most suitable natural antioxidant and exhibited maximum score in terms of sensory attributes compared to others with added clove and
Health-Promoting Effects of a Job Creation Project for the Elderly: The Case of Korea

Korea has become an “aged society” with the elderly population (persons 65 years old and over) accounting for 11% of the total as of 2011. Furthermore, the proportion of the old is predicted to increase to 14.4% in 2019 and 20% in 2026, driving Korea into a “super aged society” (Korean Statistical Information Service Database, accessed on March 8, 2012). This rapid aging trend is expected to have a significant influence on various economic quantities and characteristics such as economic growth, capital and labor markets, industrial structures and especially national finance in terms of both revenue and expenditure. Government revenues would shrink as tax and nontax revenues and social security contributions decrease due to the decline in the workingage population and slower economic growth. On the other hand, agerelated government expenditures would greatly increase on account of the growing number of pension recipients along with rising medical and other social welfare costs for the elderly. As the aged population holds far higher prevalence rates than the average and is likely to include more chronic disease patients, medical costs per elderly person are three to five times larger than those of the non-aged [1]. Thus, the total medical costs increased by the rise in the elderly population will exceed what would normally be caused by simple population growth.
Accelerating Biomedical Imaging using parallel Fuzzy C-Means Algorithm

: The focus is mainly on the development, acquisition and image reconstruction strategies, using MRI, to accurately and quantitatively image physiology. Primary applications include functional brain imaging, structural brain imaging, and neuromuscular. The software used is OpenACC, to accelerate their advanced imaging model. OpenACC is a directive based programming model designed for scientists and researchers looking to tap into the computational power of accelerators without significant programming effort. This software provides the significant speed-ups using the new PGI compiled software on the NVIDIA GPU. Hence it is now able to develop some other application software that reduced the time it would normally take to reconstruct the MRI scan from 40 days down to a couple of hours, OpenACC also allowed to run on one of the fastest supercomputers in the world.
A Dynamic Threshold Approach For Video Object Extraction

- This paper proposes efficient motion detection and people counting based on background subtraction using dynamic threshold. Here three different methods are used effectively for object detection and compare these performance based on accurate detection. The techniques frame differences, dynamic threshold based detection and mixture of Gaussian model will be used. After the object foreground detection, the parameters like sensitivity, correlation, speed, velocity and angle of motion will be determined. In dynamic threshold based object detection, morphological process and filtering also used effectively for unwanted pixel removal from the background. Along with this dynamic threshold, we introduce a background subtraction algorithm for temporally dynamic texture scenes using a mixture of Gaussian, which has an ability of greatly attenuating color variations generated by background motions while still highlighting moving objects. Finally the proposed method will be proved that effective for background subtraction in dynamic texture scenes compared to several competitive methods and parameter of moving object will be evaluated for all methods.
A Comparative Study on Secured Image Transmission Using Steganography Techniques

------------------------------------------------------------------- ABSTRACT ---------------------------------------------------- Due to the advancements in latest network technology, security of data transformation is a big problem in this society. The need for a secure data handling method for the transmission and storage of text and digital media, comprising patient’s diagnostic history, imaging, scans, etc., are indispensable. To secure above mentioned data, steganography plays a vital role in network communication. Steganography means hiding a secret message (the embedded message) within a larger one (source cover) in such a way that an observer cannot detect the presence of contents of the hidden message. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret information in images, there exists a large variety of Steganography techniques some are more complex than others and all of them have respective strong and weak points. Different applications have different requirements of the Steganography technique used. This paper intends to give an overview of image Steganography, its uses and techniques. It also attempts to identify the requirements of a good Steganography algorithm and briefly reflects on which Steganography techniques are more suitable for which applications.
Comparative Study on the Mg Doped Hydroxyapatite through Sol-gel and Hydrothermal Techniques

The aim of this study was to compare the sol-gel and hydrothermally synthesized pure and magnesium doped hydroxyapatite. Calcium nitrate tetrahydrate, magnesium nitrate hexahydrate and ammonium dihydrogen phosphate were used as a precursuor for Ca, Mg and P in both methods. The synthesized powder was sintered at 800oC. The samples were characterized by Fourier Transform Infrared Spectroscopy for functional group analysis, X-Ray Diffraction for crystalinity and phase purity analysis, Scanning Electron Microscopy coupled with Energy dispersive X-Ray for morphological analysis and (Ca+Mg)/P ratio. Simulated Body Fluid is prepared by using chlorides, carbonates, oxides and sulphates of alkali metals at 37oC. The bioresorbability of sol-gel and hydrothermally synthesized materials has been examined in vitro by immersing in simulated body fluid and measuring the variation of pH. The results obtained shows that Hydroxyapatite synthesized by both methods are bioresorbable. However, the hydrothermally synthesized pure and Magnesium doped hydroxyapatite revealed a higher resorbablity. The FTIR shows the influence of Mg and XRD results confirmed presence of Mg in the lattice structure of HAP. The crystal size is found to be in the range of 10nm-40nm. Scanning Electron Micrographs confirms the influence of Mg on the morphology and particle size.
Neighbourhood Countries Text Translation by Help of Mathematical Rules (Independent of Any Electronic Devices

: As interest in human logical translating, since visiting neighbor countries has increased in the world and inability of people to memorize huge number of foreign words. We have developed a logical way for translation Azerbaijani, Turkmen, Uzbek, Qashqai, Turkmen Crimean Tatar and neighbor languages of Turkish to Turkish. In this way people instead of memorizing huge number of words, just by memorizing a few rules, they can transfer their own language words to other languages. Many known languages have the same roots and do originate form a few base languages. Because of this, the languages that have originated from the same root(s) may be translated to each other without using a dictionary, such as, translating neighbours’ languages. Neighbours’ languages words to Turkish words. Detection of the suffix of the word in neighbours’ languages to separate main words and its suffixes, is the first step. Then we applied morphological issues as well . In the same manner, both of the languages have same position of verbs nouns adverbs in the sentences. With this in mind, text translation, is as easy as word Translation. In this paper we propose a new method for analysis and finding exact translation of a word by applying algorithmic rules. The use of this research is to present ten rules to toursits from neighbor countries of Turkey, when they are coming to visit Turkey, such that during visiting they can use their own mother tongue for comminucation, just they apply the easy rules to their own mother tongue words, to make Turkish word for comminucation. In future this idea can be used for other countries.
Task Scheduling with Parallel Genetic Environment using Stepping Stone Method

In multiprocessor system Task scheduling is essential operation. The main objective of task scheduling is to shorten the length of schedule. The effectiveness by doing so is beneficial for large number of calculations having some constraints like time constraints etc. The proposed algorithm has the efficient execution of the schedule on parallel system that takes the structure of the application and the performance characteristics. Number of appriximation and heuristics algorithms have been proposed to fulfill the task scheduling problem. It is well known NP-Hard problemt. Here the study proposes a genetic based techniques to schedule parallel tasks on hetrogeneous parallel system. In this paper the scheduling problem considered includes a new heuristic algorithm for task scheduling, based on evolutionary method which embeds a new fast technique named Stepping Stone into Genetic Algorithm (GA). By comparing the proposed algorithm with an existing GA based algorithm, it is found that the computation time of the new algorithm to find a sub-optimal schedule is decreased; however, the length of schedule or the finish time is decreased too.
Path Designing of Known Complex Environment by Using Hybrid of GA & PSO

: A hybrid of Genetic Algorithm (GA) & PSO for associate optimized path designing for known atmosphere containing obstacles is conferred. The goal of our project is to seek out a best answer with best price & minimum distance to achieve destination. There are two sorts of atmosphere that are known and unknown atmosphere. Our project is based on known atmosphere. Earlier projects were supported single objective however when it involves real world,several parameters affects like temperature, humidity etc. We apply hybrid of GA with PSO. We have implemented the algorithms described in this paper and finally our approach can perform in various known environment with minimum energy and minimum distance. For the PSO parameter we have taken 500 of maximum iteration, 150 No of population (SWARM size), 1 inertia weight, 0.98 Inertia Weight Damping Ratio, c1 =1.5 Personal Learning Coefficient, c2=1.5 Global Learning Coefficient and with best cost we get result after the simulation in matlab using hybridization of GA & PSO.
An Effective Resource & Infrastructure Supervision of Result System (ERIS-RS) for QoS in Cloud Computing

- Cloud computing is a business solution based environments which supports scalable computing on demand for the end user. Here the users demanded QoS resources can be provided with the help of cloud models. Mainly the models deal with infrastructure, platform and software with distributed and parallel processing plays the multiplexer role. The system primarily uses virtualization technology to cope with the computing needs. By using virtualization dynamic resource requirements can be handled with service optimizations. Sometimes this dynamic resource handling suffers from the performance and utilization issues due to their heterogeneous environments and availability. For effectively allotting the resources to different process, they must be analyzed previously for detecting their occupancy and residual means. Servers are continuously monitored for detection of overutilization and underutilization for understanding the loads of the system. Over the last few decades the grid has evolve form Globus based system to Nephele architecture for processing the parallel and distributed jobs. This work suggests the improved QoS scheduling and job execution environments for traditional resource handling approach using ORM-DS (optimized Resource Management Decision System). It also manages and monitors the dynamic allocation and deallocation. The proposed approach is having 7 step process model starts with client request and ends with the gird based resources to the applications as per the requirements. It is based on hierarchical structure of their utilizations with a heuristics support for decision making. In future the trace driven simulations and experimental results demonstrates the good performance. [1,2]
Real Time Arduino Based Depth Sensing for Road Condition Monitoring

— This paper presents vibration based road condition detection device, which consists of an Arduino based sensing module and an Android based user interface, is designed and implemented. First, the Arduino based sensing module is designed to evaluate the road conditions in real-time and send the evaluation result to the Smartphone through wireless medium. While the Smartphone receives the data from sensing module, the designed Android user interface APP will mark the position with abnormal road condition on Google Maps utilizing GPS of Smartphone. As a result, the drives can change their route for commute and Government can use this potholes locational data for future repairing and development.
Automatic Summarization of Bug Reports and Bug Triage classification

: To help with a number of different tasks, software developers access bug reports in a projects bug repository, including understanding how previous changes have been made and understanding multiple aspects of particular defects. A substantial amount of text is often required by a developer interaction with existing bug reports. The developers can perform their tasks by consulting shorter summaries instead of entire bug reports, in this article we investigate whether it is possible to summarize bug reports automatically. The quality of generated summaries is similar to summaries produced for email threads and other conversations, we investigated whether existing conversation based automated summarizers are applicable to bug reports. A summarizer on a bug report corpus is trained by us. By existing conversation based generators, this summarizer produces summaries that are statistically better than summaries produced. We conducted a task based evaluation that considered the use of summaries for bug report duplicate detection tasks, to determine if automatically produced bug report summaries can help a developer with their work. We found that summaries helped the study participants save time, that there was no evidence that accuracy degraded when summaries were used and that most participants preferred working with summaries to working with original bug reports.
The use of sorrel (Hibiscuss sabdariffa) seed as a feed ingredient for poultry: A review

Sorrel (Hibiscuss sabdariffa) is a tropical annual herb of the family Malvaceace believed to have originated from tropical Africa but now cultivated in many parts of the world. Sorrel seeds have little food or industrial uses in Nigeria at the moment. Sorrel seeds are moderate to good sources of protein with an amino acid composition similar to soybean, but contain several toxic factors and have a highly acidic taste. Several processing methods have been employed to reduce these factors and increase the utilization of the seed by poultry but yet with some limitations. The composition of sorrel seed (nutrients and antinutritional factors), common processing methods, and the results of some poultry feeding trials were reviewed.
A Survey on Privacy Preservation in Data Publishing

— Privacy preservation is the most concentrated issue in data publishing, as the sensitive information should not be leaked. For this sake, several techniques such as generalization, bucketization are proposed, in order to deal with privacy preservation. However, generalization fails on high dimensional data because of dimensionality and it causes information loss due to uniform distribution. On the other hand, bucketization cannot achieve membership disclosure. All the above mentioned shortcomings are overcome by a technique named slicing. Slicing can handle high dimensional data too. It is proposed that slicing can be clubbed with the algorithm in order to increase the data utility and privacy.