Miracle-dz/UniFAR-FTUs huggingface dataset:
Ethanol Thymus serpyllum extracts: evaluation of extraction conditions via total polyphenol content and radical scavenging activity

The aim of the present study was the optimization of the extraction conditions (particle size, solidto-solvent ratio, extraction time and procedure) via total polyphenol content and radical scavenging activity, using wild thyme (Thymus serpyllum L.) as a natural source of polyphenols. According to the total polyphenols yield, particle size, solvent-to-solid ratio, and extraction technique have shown statistically significant influence, whereas the exposure time has not been a relevant factor. In all three extraction procedures (maceration, heatand ultrasound-assisted extraction), the highest polyphenols yield was reached using the smallest plant particles and the highest solvent-to-solid ratio. Moreover, polyphenols content was significantly higher after ultrasound-assisted extraction, in comparison to the extraction at room and high temperature. According to the antioxidant recovery, the influence of different extraction parameters varied depending on the applied antioxidant tests and extraction procedures. 2,2’-azino-bis-(3-ethylbenzothiazoline-6-sulfonic acid) ABTS radical scavenging capacity of extracts followed the next trend: maceration and ultrasound-assisted extraction > heat-assisted extraction, while in 2,2-diphenyl-1-picrylhydrazyl DPPH neutralization: ultrasound-assisted extraction > heat-assisted extraction >> maceration. The study represents an important step in the formulation of antioxidant-rich extracts with potential use in food, pharmaceutical, and cosmetic industry.
Android oS Security: riSkS And Limit AtionS A PrActicAL ev ALuAtion

The number of Android-based smartphones is growing rapidly. They are increasingly used for security-critical private and business applications, such as online banking or to access corporate networks. This makes them a very valuable target for an adversary. Up to date, signiﬁcant or large-scale attacks have failed, but attacks are becoming more sophisticated and successful. Thus, security is of paramount importance for both private and corporate users. In this paper, we give an overview of the current state of the art of Android security and present our extensible automated exploit execution framework. First, we provide a sum-mary of the Android platform, current attack techniques, and publicly known exploits. Then, we introduce our extensible exploit execution framework which is capable of performing automated vulnerability tests of Android smartphones. It incorporates currently known exploits, but can be easily extended to integrate future exploits. Finally, we discuss how malware can propagate to Android smart-phones today and in the future, and which possible threats arise. For example, device-to-device infections are possible if physical access is given.
Stock Market Movements Using Twitter Sentiment Analysis

: in modern era, the utilization of social media has reached unprecedented levels. Among all social media, Twitter is such a well-liked micro-blogging service, that permits users to share short messages in real time concerning events or categorical own opinion. During this paper, we have a tendency to examine the effectiveness of varied machine learning techniques on retrieved tweet corpus. We have a tendency to apply machine learning model to predict tweet sentiment likewise as notice the correlation between twitter sentiment and stock costs. We have a tendency to accomplish this by mining tweets mistreatment Twitter’s search API and method it for additional analysis. To work out tweet sentiment, we have a tendency to check the effective 2 machine learning techniques: Naïve mathematic ian classification and Support vector machines. By evaluating every model, we have a tendency to discovered that support vector machine provides higher accuracy tho' cross validation. When predicting tweet sentiment, we've got mined stock historical information mistreatment Yahoo finance API. We’ve got designed feature matrix for exchange prediction mistreatment positive, negative, neutral and total sentiment score and stock worth for every day. We’ve got applied same machine learning rule to work out correlation between tweet sentiments and exchange costs and analyzed however tweet sentiments directly correlates with exchange costs
Study of the Relationship between Blood Lead Level and Complete Blood Counts in Pregnant Women

Background: Lead exposure is one of the global health problems, especially among pregnant women. Objectives: In this regard, the present study aimed to investigate the correlation between blood lead and blood indicators in healthy pregnant women. Methods: This correlational study was conducted on 80 pregnant women hospitalized in Ayatollah Mousavi Hospital in Zanjan during 2015. After receiving informed consent, 3.5 mL of their blood samples were taken for measuring the blood lead and indicators. Then, Symex was used to analyze hematologic indicators, followed by utilizing the potentiometric method and Ion3 to measure the blood lead level. Finally, data were analyzed by SPSS software, (version 22) applying a Pearson correlation coefficient and linear regression. A P-value of less than 0.05 was considered statistically significant. Results: The mean blood lead of the subjects was 6.24±1.74 μg/dL. Based on the results, a significant correlation was found between blood lead and hemoglobin (Hb: r=-0.39, P<0.001), mean corpuscular volume (MCV: r=-0.26, P=0.02), mean corpuscular hemoglobin (MCH: r=0.27, P=0.013), mean corpuscular hemoglobin concentration (MCHC: r=-0.327, P=0.003), and platelet number (Plt: r=0.359, P= 0.001). However, no significant correlation was observed between blood lead and other platelet and blood indicators. Conclusion: Overall, blood lead affects blood indicators. Therefore, it is suggested to plan and implement strategies to reduce exposure to lead in the environment, especially for pregnant women.
Conservation decision‐making under uncertainty: Identifying when to reintroduce tiger Panthera tigris to Cambodia

Conservationists need to present biological monitoring data to decision makers in a way which clearly represents uncertainty. Providing results in terms of the probability of a hypothesis being true may have greater utility for decision‐making than traditionally used frequentist statistical approaches. Here, we demonstrate such an approach with regard to assessing the suitability of the Cardamom Rainforest Landscape, Cambodia for Panthera tigris (tiger) reintroduction. We estimated the density of tiger prey in the core of the landscape using the Random Encounter Model from camera‐trap data and used Monte Carlo simulation to prorogate uncertainty around our model parameter estimates. This suggests there is currently a low probability that the core area of the landscape supports sufficient prey for a population of 25 adult tigers and that significant prey recovery is thus required prior to any reintroduction into the landscape. The Random Encounter Model contains a number of assumptions and we stress our main purpose is to illustrate an approach to incorporating uncertainty into conservation decision‐making rather than providing robust estimation of current tiger prey densities in the Cardamom Rainforest Landscape. Our approach has wide utility for conveying species monitoring information to conservation planners in a simple to understand fashion.
Beyond Traditional SMS – Can Resilience Engineering and Deep Learning Neural Networks Be Used to Anticipate Disruptions in the NAS?

Air Traffic Management organizations are part of a complex socio-technical system. In a tightly coupled, intractable system like ATM, it is not possible to identify many incident and accident causes or system risks by using the safety management methodologies in place today. This paper explores how using resilience engineering and deep learning neural networks together could help an air navigation service provider develop its resilient performance potential to recognize and manage unexpected situations when they present themselves.
Integration of Virtual Reality (VR) in Architectural Design Education: Exploring Student Experience

The architecture industry significantly relies on visual communication. Virtual reality helps designers create a greater sense of realism and a better understanding of a project by designing while immersed in them. That technological advancement has the potential to improve the design process. Therefore, the demand for adapting the use of virtual reality environments in the architecture industry has increased over the past two decades. If academia is aligned with industry, students will be better prepared for integration into the workplace. As a result, the integration of virtual reality into the architectural curriculum is an educational imperative. The long term goal of this project is to incorporate VR into design studios and build a virtual reality lab for architecture students at Western Kentucky University. This study describes the overview of the ongoing integration of virtual reality (VR) environments within the Architectural Science program. A pilot study was conducted prior to incorporating VR into the classroom to investigate the value and the challenges of integration of virtual reality system in design education. This research details and analyzes the experience of a junior student by applying VR to facilitate learning in the context of architectural design. The student applied VR to become immersed in the designed building through the use of a headset and hand controllers. Based on the collected experimental data, the authors investigated the practical application of VR in the learning environment and demonstrated the effectiveness of this advanced technology in pedagogical practice.
Haplotypes-based genetic analysis: benefits and challenges

The increasing availability of Single Nucleotide Polymorphisms (SNPs) discovered by Next Generation Sequencing will enable a range of new genetic analyses in crops, which was not possible before. Concomitantly, researchers will face the challenge of handling large data sets at the whole-genome level. By grouping thousands of SNPs into a few hundred haplotype blocks, complexity of the data can be reduced with fewer statistical tests and a lower probability of spurious associations. Owing to the strong genome structure present in breeding lines of most crops, the deployment of haplotypes could be a powerful complement to improve efficiency of marker-assisted and genomic selection. This review describes in brief the commonly used approaches to construct haplotype blocks and some examples in animals and crops are cited where haplotype-based dissection of traits were proven beneficial. Some important considerations and facts while working with haplotypes in crops are reviewed at the end.
Collaborative Encyclopedia of Algorithms - Algpedia

The process of building and sharing knowledge gained ground in academic research in the last decade, as more participative ways of learning became feasible. Difﬁcult learning tasks, like learning how to program, can now count with technological support for more democratic ways of learning. In this article we present AlgPedia, a free encyclopedia about algorithms and programs in a wiki format. Algpedia’s goal is to serve information not only to humans but also to other programs. Regarding human usage, AlgPedia’s intent is to support and encourage the creation of collaborative content, besides helping the software developers’ community to ﬁnd the best algorithmic solutions and the best suited implementations for their problems. Behind the wiki interface, the AlgPedia web platform supports a semantic database that can be accessed by intelligent non-human agents.
ANALYSIS OF CONTAMINANTS OF EMERGING CONCERN WITHIN ON-SITE WASTEWATER TREATMENT SYSTEMS: YEAR ONE DATA

Contaminants of emerging concern (CEC), including pharmaceuticals and personal care products, are being found in increasing concentrations throughout the environment (EPA, 2016). The deposition of human waste into septic systems has created a mechanism for CEC concentration and dispersal. The consequences on human health from CECs are unknown (Schwab et al., 2005). There is a precedent for concern as some pharmaceuticals, even at low concentrations, have been found to harm aquatic biota (Fono & McDonald, 2008). The full ability for septic systems to disperse CECs in still in question. This study seeks to understand the preponderance of CEC distribution surrounding five rest area septic systems owned and operated by the Minnesota Department of Transportation (MnDOT) and one domestic septage land application site. These public systems likely have increased CEC deposition due to a larger user population as compared to a system servicing a single-family home. Soil and groundwater samples were taken from each site and compared against their respective waste source. A broad list of CECs was chosen based on current literature. Waste sources had the most detections and highest concentrations. Groundwater had fewer detections but similar concentration levels to that of the waste source. Soil had few detections and very low concentrations. It seems likely that on-site treatment systems are able to break down CECs but, when they get through, they can enter the environment along hydraulic flows paths at concentrations similar to their waste source.
Electricity Access, Community Healthcare Service Delivery, and Rural Development Nexus: Analysis of 3 Solar Electrified CHPS in Off-Grid Communities in Ghana

Over 600 million people living in sub-Saharan Africa do not have access to electricity. Modern healthcare services, including vaccine refrigeration, which require electricity are therefore lacking in such energy-deprived communities. In this work, analysis has been conducted on how electricity access can help improve healthcare service delivery and rural development, with a case study on 3 different off-grid solar photovoltaic (PV) systems in community-based health planning and services (CHPS) in Ghana. Analysis from this study showed that for the 3.0 kWp solar PV systems installed at the various sites, the in-house electricity consumptions are between 4.30 and 7.58 kWh per day. It was found out that excess electricity generation of 148–304 kWh per month is available and can be used to provide other economic services including phone charging, torchlight battery charging, and small-sized cold storage services to generate income for the maintenance of the systems, which is critical for sustainability of solar PV installations in rural poor communities. The study results also showed that electrified health facilities which are able to provide basic healthcare services have potential impact on community health outcomes and rural development. Assessment conducted at the CHPS compounds revealed that, generally, there is improvement in healthcare service delivery resulting in time savings of 15-43 hours per month for the inhabitants which can potentially be used for productive work. The time savings were more significant in females and children than in males. In many rural agro-based communities in developing countries, female and children are usually the workforce engaged in various farming activities. This paper concludes that access to electricity in CHPS compounds helps to improve community health outcomes and increases time availability for women to engage in productive work that can potentially result in significant socioeconomic activities and rural development.
Commercial Deltametrin: Its (Sublethal) Impact on Carbohydrate Metabolism of Labeo rohita

The present study aimed to evaluate the effect of sublethal concentration of a synthetic pyrethroid pesticide, i.e., deltamethrin (DM) on enzymological responses in an Indian major carp, Labeo rohita. In this study, the LC50 values of DM for 96 h were found to be 0.09 ppb. Effect of sub-lethal dose of delamethrin was evaluated 1/10 of 96 h LC50 value, 0.009 ppb concentration of deltamethrin was evaluated on carbohydrate metabolism of L. rohita. The significant (p<0.001) decrease in glycogen levels were observed in liver as well as in muscles during the 24 h of incubation and gradual increase were observed when compared with control group. The increase of lactate dehydrogenase was progressive in all the tissues, i.e., gills, brain, liver, and kidney and reached highest at 96 h of exposure in gills. However, the significant decrease in succinate dehydrogenase and malate dehydrogenase was observed in collected tissues and decrease is less at 24 h and it was increased along the exposure period. These results suggest that the tested concentrations of DM could have significant adverse effects on the hormonal and enzymologicalparameters of fish L. rohita. The alterations of these parameters can be effectively used to monitor the impact of DM in aquatic ecosystem.
The advantages of NCP Electronic in nutrition care documentation at Saiful Anwar Hospital Malang, Indonesia

Objectives: Quality of nutrition care can be accomplished by Nutrition Care Process (NCP) and International Dietetics and Nutrition Terminology (IDNT). Lack of access to resources to support easy-to-use documentation is one of the obstacles using NCP and IDNT. Information technology can be used as a tool to record nutrition care and overcome the obstacles of using NCP and IDNT. Health information technology studies often focus on information technology design and implementation without considers end user’s acceptance. Perceived advantage is one of perceived that influences user’s acceptance of information technology. Nutrition Care Process (NCP) Electronic is an application based on computer which is developed to document NCP easily. This application’s trial was conducted in Saiful Anwar Hospital Malang where it has already used NCP. This study aimed to investigate dietitian’s perceived advantages of NCP Electronic Methods: This was a qualitative study in which the design was an exploration case study. The number of informants was 8 dietitians. The data were collected through in-depth interviews and observations. Results: The dietitians considered that NCP Electronic has some advantages. The advantages were grouped by three aspects. There were data processing and documentation nutrition care, nutrition care document storage and dietitians’ job performance. The first advantage of using NCP Electronic was easier and faster to record nutrition care. Secondly, in document storage’s aspect, nutrition care could be recorded automatically because it could be saved in a storage device so that it would minimize the data loss. In job performance’s aspect, NCP Electronic could reduce the dietitians’ workload. They would not be tired to write, and also in terms of performance, dietitians felt using NCP Electronic improved dietitian’s image. Conclusion: NCP Electronic was more advantageous for dietitians than nutrition care manual documentation. The advantages were easiness and swiftness in processing the data and documenting nutrition care, nutrition care automatic record, reducing dietitians’ workload, in terms of performance dietitian felt using NCP Electronic improved dietitian’s image. Rahmah et al (2019): Use of NCP electronic December 2019 Vol. 22 (11B) ©Annals of Tropical Medicine & Public Health S356D
Vitreous Base Shaving in Diabetic Vitreous Haemorrhage

Methods: The study samples were classified into two groups. Group I underwent pars plana vitrectomy without vitreous base shaving. Group II underwent pars plana vitrectomy with vitreous base shaving. Patients sampling was done using consecutive sampling technique. Patients were examined preoperatively and postoperatively at one day, one week, one month, two months and three months intervals for assessment of visual acuity changes and incidence postoperative complications.
Delayed-acceptance approximate Bayesian computation Markov chain Monte Carlo: faster simulation using a surrogate model

The thesis introduces an innovative way of decreasing the computational cost of approximate Bayesian computation (ABC) simulations when implemented via Markov chain Monte Carlo (MCMC). Bayesian inference has enjoyed incredible success since the beginning of 1990’s thanks to the re-discovery of MCMC procedures, and the availability of performing personal computers. ABC is today the most famous strategy to perform Bayesian inference when the likelihood function is analytically un-available. However, ABC procedures can be computationally challenging to run, as they require frequent simulations from the data-generating model. In this thesis we consider learning a so-called "surrogate model", one that is cheaper to simulate from, compared to the assumed data-generating model, and in this manner save computational time. The strategy implemented is known in MCMC literature as "delayed acceptance MCMC", however to the best of our knowledge has not been previously adapted into an ABC framework. Simulation studies consider the approach on two diﬀerent models, producing Gaussian data and g-and-k distributed data, respectively. For the most challenging example we observed that our approach, consisting in a delayed-acceptance ABC algorithm, led to a 20-folds acceleration in the MCMC sampling, compared to a standard ABC-MCMC algorithm.
Equality of Opportunity in Rankings

With the ubiquity of algorithmic methods for ranking in systems like search engines, recommendations, and advertisements, it becomes essential to ensure that these systems do not impact different groups at different rates. In this work, we focus on defining the notions of fairness in such ranking scenarios in terms of the amount of exposure (opportunity) each item gets in its position while keeping in mind the protected groups. We formulate these definitions for protected groups of documents, queries as well as users.
A High-Performance VLSI Architecture for the PRESENT Lightweight Cryptography

—. In this paper, propose a high-performance and area-efficient VLSI architecture with 64-bit datapath for the PRESENT block cipher. The proposed architecture performs an integrated encryption/decryption operation for both 80-bit and 128-bit key lengths. The architecture is synthesized for the Spartan-III XCS400-5 FPGA device, available on the Xilinx platform. The results also highlight that PRESENT is well suited for high-speed and high-throughput applications. Especially its hardware efﬁciency, It has been observed that the proposed architecture utilizes 0.73% and 0.87% of FPGA slices for 80-bit and 128-bit key lengths, respectively. A throughput of 410 Mbps and power consumption is about 16 mW for both the key lengths.
EA adoption in Malaysian Maritime Industry: A Conceptual Study and Future Direction

The purpose of this conceptual paper is twofold; first to examine the factors affecting EA adoption in Malaysian Maritime Industry, second to study the effect of e-accounting adoption on firm performance. This paper proposed to investigate the factors influencing the e-accounting adoption in the technological, organizational, environmental and owner-manager contexts in order to provide wider perspective. Extending the model, this paper also perceives the importance of investigating the effect of e-accounting adoption on company performance. By applying this model in future empirical research, it is expected to reveal the determinants of the e-accounting adoption among the SMEs in the maritime industry while its effect on the firm overall performance of Malaysian maritime industry is expecting to give a clue to the industry for the role of e-accounting.