Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of dynamics, structures and agent relationships in Regional Innovation Systems

This paper analyzes the regional innovation system of the department of Antioquia in Colombia, from a complex systems perspective and using an agent-based simulation model. Among the results is a model with significant variables and indicators for generating new knowledge and innovation on a regional scale. This provides evidence that more favorable conditions exist, insofar as a significant number of explorers encourages greater reciprocal actions with other agents in the regional structure. The number of patents and publications being generated will increase significantly and better network clustering becomes evident as a result. Finally, the model explores the dynamics, structures and relationships among agents in the system, paying special attention to the conditions within which innovation processes unfold at a regional level.
An enhanced hybrid image encryption algorithm using Rubik’s cube and dynamic DNA encoding techniques

Image encryption is among the most active solutions to protect confidential pictorial information. However, to design a strong image encryption algorithm with no recognizable pattern, the researchers in this field have to enrich the confusion and diffusion properties. This study proposes an efficient hybrid system that combines two techniques. First, we propose a modified version of Rubik's Cube technique for scrambling colored image pixels to achieve fast confusion. This technique not only scrambles the position of image pixels but also scrambles the color channels. Then, dynamic DNA encoding algorithm is used to encrypt the pixel’s values. DNA encoding rules are used in conjunction with a secret key. We propose to select the DNA rules dynamically to enhance the security level. Five fidelity metrics are employed to assess the capability of this system. These are PSNR, SSIM, NPCR, Entropy, and CCA. The results indicate that the proposed system enhances the general security requirements with enriched confusion and diffusion properties of the encrypted image.
Evaluation of endocrine disruptors in the environment of Eket Metropolis in Nigeria: an insight into public health and risk assessment

The adverse effect of some environmental contaminants on the endocrine system was investigated using the Risk Analysis Framework. The aim was to ascertain the level of EDCs in fish species and potable water. The research employed ecological examination approach. The samples from the environmental media with serious threat and links to humans and animals exposed to endocrine disruptors were water and fish. Twelve boreholes water samples were disproportionately and purposefully collected, while another twelve water samples were collected from Qua Iboe River one kilometer stretched forth. Also, six species of fresh fish including - Atlantic croaker ( Micropogonias undulates ), Catfish ( Clarias gariepinus ), African red snapper ( Lutjanus agennes ), Tilapia ( Oreochromis niloticus ), Yellowtail ( Seriola lalandi ), and Great barracuda ( Sphyraena barracuda ) were used. Both the water and fish samples were screened for endocrine disrupting substances with gas chromatography linking mass spectroscopy. The analysis (results) detected 8% phenol dichloro-4-nitro-, 1, 3, 5-Triazine, and 3% Triazine 2-chloro-4-, 6-bis-methylthio, octadecenamide in borehole water. Butyl ethyl, hexyl phthalate, indolizine 6%, 4-methyl phenyl, cyclohexane, 3-dione 27%, 2-allylamine methylene 5, 5-hydroxyphenyl 8%, and menazon 17% were discovered in all the species of fish. Phthalate, butyl undecyl esters, 2-ethyl hexyl was 4%, and 7% of isohexyl propyl in Qua Iboe River. The results call for the attention of the regulatory body to put in place measures that will stem the impending disaster this may create in the reproductive capacity of the exposed population.
Au th or ' s pe rs on al co py The performance analysis of linux networking – Packet receiving q

The computing models for high-energy physics experiments are becoming ever more globally distributed and grid-based, both for technical reasons (e.g., to place computational and data resources near each other and the demand) and for strategic reasons (e.g., to leverage equipment investments). To support such computing models, the network and end systems, computing and storage, face unprecedented challenges. One of the biggest challenges is to transfer scientific data sets – now in the multi-petabyte (10 bytes) range and expected to grow to exabytes within a decade – reliably and efficiently among facilities and computation centers scattered around the world. Both the network and end systems should be able to provide the capabilities to support high bandwidth, sustained, end-toend data transmission. Recent trends in technology are showing that although the raw transmission speeds used in networks are increasing rapidly, the rate of advancement of microprocessor technology has slowed down. Therefore, network protocol-processing overheads have risen sharply in comparison with the time spent in packet transmission, resulting in degraded throughput for networked applications. More and more, it is the network end system, instead of the network, that is responsible for degraded performance of network applications. In this paper, the Linux system’s packet receive process is studied from NIC to application. We develop a mathematical model to characterize the Linux packet receiving process. Key factors that affect Linux systems’ network performance are analyzed. 2006 Elsevier B.V. All rights reserved.
Interactive comment on “Parameterization of Single Scattering Albedo (SSA) and Absorption Angstrom Exponent (AAE) with EC/OC for Aerosol Emissions from Biomass Burning” by Rudra P. Pokhrel et al

The authors present measurements of aerosol optical properties for particles produced from biomass combustion. The confirm that there is a relationship between the SSA and AAE and the MCE, as has been shown before. But they importantly extend this to think about the relationship with the EC/OC ratio (and the EC/(EC+OC) ratio), finding a stronger relationship with these variables. These results may be useful for global modeling (although it should be noted that global models tend to calculate optical properties based on particle size distribution and composition and do not simply specify SSA as
Code-Switching and Identity: A Sociolinguistic Study of Hanif’s

The present research explores the features of code-switching in Hanif’s (2011) English fictional novel Our Lady of Alice Bhatti. The research explores code-switching by applying the Whorfian Hypothesis (Linguistic Relativity and Determinism) through textual analysis of Hanif’s novel (2011). One of the distinguishing features of the novel is the use of two distinct languages (English and Urdu) which majorly cause the implementation of various features of code-switching and code-mixing. The researchers have employed the qualitative research approach during data analysis. The study examines how language influences ideas and identity with the use of code-switching. A comprehensive study or analysis of the relevant literature has also presented in a comprehensive way leading towards a theoretical framework of preferred Whorfian Hypothesis (Sapir-Whorf Hypothesis) in the field of sociolinguistics. The results and findings of the also proves that the writer of the novel consciously/unconsciously utilizes the technique of code-switching of code-mixing to highlight/promote the native/local identity (ies) and cultural values through the code-mixed language. The study would be helpful for the reader to develop an appropriate understanding of code-switching in language varieties.
CORAL REEF CONDITION IN RELATION TO CORAL REEF FISH ABUNDANCES BEFORE MASS BLEACHING EVENT IN SIMEULUE ISLANDS, ACEH

Bordered with the Indian Ocean, Simeulue Islands is one of the outermost islands in Indonesia located in the west part of Aceh Province. Simeulue waters are productive areas due to the unpolluted condition yet and great of biomass. Three regions were particularly observed, those are Simeuluecut, Ganting, and Labuhan Bajau. In those areas, the existing marine tourism activities might influence the coral reef ecosystem studied. This study aimed to evaluate the condition of coral and coral reef fish in those three particular regions before mass bleaching event in 2016 triggered by ENSO. Point Intercept Transect (PIT) method was employed to record the percentage cover of coral, species diversity, and coral reef fish. Ganting waters was a moderate ecosystem area whith the percentage coverage was up to 45.62%. However, in Simeuluecut and Labuhan Bajau waters, the coral reef communities were excellent with coral percentage coverage reached 83.12% and 81.25 %, respectively. The highest abundance genera of coral reef fish was observed in Simueluecut waters. This condition was changed oppositely in 2016 when mass bleaching threatened Simeulue waters due to temperature anomaly triggered by ENSO phenomenon. The temperature increases almost 3oC for 6 months that undoubtedly induced bleaching that about 50% of coral colonies were dramatically declined in coral coverage and coral recruitment.
IJSRD-International Journal for Scientific Research & Development| Vol. 4, Issue 03, 2016 | ISSN (online): 2321-0613

Data mining is used to extract the information from a large amount of data. Data mining consist of two models, they are predictive and descriptive. Classification is one of the data mining technique which comes under predictive model. Classification is used in many applications such as artificial intelligent, machine learning, statistics and database system. Data mining can be applied to these problems, to improve the efficiency of systems and the designs of machines. This paper surveyed the some algorithm gives the best result. The researchers used different classification algorithm in which are namely KNearest Neighbour classifiers, Decision tree, Bayesian network, Support Vector Machine, Artificial Neural Networks. This paper also presented the comparison of all five algorithms used in Bioinformatics Research.
The Incidence and Clinicopathologic Characteristics of Patients Who Had False-Positive Fine-Needle Aspiration Results for Papillary Thyroid Cancer

Purpose: Fine needle aspiration (FNA) is a well-established method for diagnosis of thyroid tumors. However, FNA sometimes fails to distinguish benign thyroid nodules from papillary thyroid carcinoma (PTC). The aim of this study was to evaluate the incidence and clinicopathologic characteristics of patients who had thyroidectomy due to consistent findings of PTC in FNA but turned out to bear no evidence of malignancy in surgically removed thyroids. Methods: We retrospectively reviewed 10,776 patients who underwent thyroid surgery from January 2009 to January 2019 due to suspicion for PTC, 40 of whom were diagnosed as benign in final histology. Results: We compared the clinical and pathologic characteristics of 2 groups, including subgroup analysis between Bethesda category V and VI. The false(+) rate for FNA was 0.4%. The ratio of patients aged ≥55 years was statistically higher in the false(+) group compared to the true(+) group. Age ≥55 years and Bethesda category V were risk factors for false(+) FNA in multivariate analysis. Conclusion: Although the false(+) rate is low (0.4%), surgeons should be aware of these circumstances and inform patients of the possibility of a false positive result in those with age >55 years, suspicion for malignancy on FNA (Bethesda category V), and low suspicion/benign for Korean thyroid imaging reporting and data system. To reduce unnecessary thyroidectomy, core needle biopsy or repeat FNA should be considered for a patient with these findings. Further large-scale studies are necessary to establish a firm conclusion.
THE DESIGN OF A RESEARCH TOOL FOR CONDUCTING RESEARCH WITHIN A COMPLEX SOCIO-TECHNICAL SYSTEM

This paper presents research relating to the challenges of conducting research in a complex, socio-technical system. The result of this research is that a conventional research approach is fundamentally reactive and does not always produce the desired results when applied to such a complex, socio-technical system. The literature suggests that approaching the research from a problem investigation and problem improvement point of view will provide better results. This article describes the design of a research tool using a design science research methodology that can be used for such investigations and improvement identification and evaluation activities.
PACIENTA GRIBAS ATTĪSTĪBAS SPIRĀLE THE DEVELOPMENT SPIRAL OF PATIENT’S WILL

This article is devoted to the research of the historical origin of the patient’s will institute from ancient times to nowadays, thus substantiating the necessity for the civil law’s protection of patient’s will. The expressions of the increasing or decreasing significance of patient’s will, their causes and legal consequences in the specific period of time reflect the nuances of patient’s will and their development when patient’s will as a complex institute is being formed. In general the development spiral of patient's will legal recognition was characterized in the historical development of patient's will institute.
DNA Hypermethylation Downregulates Telomerase Reverse Transcriptase (TERT) during H. pylori-Induced Chronic Inflammation

Helicobacter pylori infection causes chronic gastritis and is the major risk factor of gastric cancer. H. pylori induces a chronic inflammation-producing reactive oxygen species (ROS) which is a source of chromosome instabilities and contributes to the development of malignancy. H. pylori also promotes DNA hypermethylation, known to dysregulate essential genes that maintain genetic stability. The maintenance of telomere length by telomerase is essential for chromosome integrity. Telomerase reverse transcriptase (TERT) is the catalytic component of telomerase activity and an important target during host-pathogen interaction. We aimed to investigate the consequences of H. pylori on the regulation of TERT gene expression and telomerase activity. In vitro, hTERT mRNA levels and telomerase activity were analysed in H. pylori-infected human gastric epithelial cells. In addition, C57BL/6 and INS-GAS mice were used to investigate the influence of H. pylori-induced inflammation on TERT levels. Our data demonstrated that, in vitro, H. pylori inhibits TERT gene expression and decreases the telomerase activity. The exposure of cells to lycopene, an antioxidant compound, restores TERT levels in infected cells, indicating that ROS are implicated in this downregulation. In vivo, fewer TERT-positive cells are observed in gastric tissues of infected mice compared to uninfected, more predominantly in the vicinity of large aggregates of lymphocytes, suggesting an inflammation-mediated regulation. Furthermore, H. pylori appears to downregulate TERT gene expression through DNA hypermethylation as shown by the restoration of TERT transcript levels in cells treated with 5′-azacytidine, an inhibitor of DNA methylation. This was confirmed in infected mice, by PCR-methylation assay of the TERT gene promoter. Our data unraveled a novel way for H. pylori to promote genome instabilities through the inhibition of TERT levels and telomerase activity. This mechanism could play an important role in the early steps of gastric carcinogenesis.
Analysis of dengue disease by mathematical Model

In this paper the main purpose was to study the dynamics of dengue fever and its progression to the dengue haemorrhagic fever in order to understand the epidemic phenomenon and to suggest strategies for the control of the disease in general and the haemorrhagic form in particular. The nature of dengue epidemics is complex since it conjugates human, environmental, biological, geographical and socioeconomic factors. Our model and simulations show that the strategy based on the prevention of dengue epidemic using vector control through environmental management or chemical methods remains insufficient since it only permits to delay the outbreak of the epidemic.
Estimating distributed objects inside buildings by moving sensors

We develop a radar system with a moving sensor sc heme for localizing distributed objects hidden inside buildings. We first estimate the unknown bui lding wall parameters, using geometrical optics (ra y t cing) model and maximum likelihood approach. Time-of-arr ival information is evaluated at different location s and utilized to estimate the position and shape of the obj ct. We consider the influence of the wall on t he signal propagation. Simulations results in the 2D case ve rify the accuracy of the proposed method.
Application of Barycentric Subdivision Method for Singularity Integration in Method of Moments

─ Method of moments (MoM) is an essential tool to model electromagnetic wave interactions with three-dimensional targets. Numerical integration is a key technique in MoM. Due to the singular nature of Green's function, MoM requires special treatment in the calculation of singular integration, which is usually timeconsuming. In this study, the barycentric subdivision method is investigated to compute numerical integration in three-dimensional surface integral equations. This method allows a uniform treatment for both singular and non-singular integrals. Numerical examples show that this method could reach the same level of accuracy as the singularity extraction method for RWG basis functions, and the computational time of setting up the matrix can be reduced by half. Index Terms─ Barycentric subdivision method, method of moments (MoM), Rao-Wilton-Glisson (RWG) basis, singular integration, singularity extraction method.
Hypoglycemic Activity of Okra (Abelmoschus esculentus) in Participants with Impaired

Impaired fasting glucose (IFG) is characterized by a blood glucose level higher than normalbut lower than that of diabetes level. Abelmoschus esculentus (okra) is an alternativehypoglycemic and antidiabetic plant due to its phytochemical constituents that regulateintestinal glucose absorption and prevents insulin resistance. This study determined thehypoglycemic activity of okra among IFG participants. Subjects were random subjects withimpaired fasting glucose results upon screening. Quasi-experimental pre-test post-test wasused where a standard glucose load was consumed in the control phase and powdered okraseed-peel mixed with the glucose load was consumed during the experimental phase. The bloodsugar concentration was measured again every hour until three hours after consumption of thestandard glucose load. In the experimental phase, the same group of participants was asked toconsume 75 grams of glucose load with powdered okra peel that depends on their body weight(200 mg/kg of body mass). Fasting, 1 -hour, 2-hour and 3-hour glucose concentration weremeasured the same way it was done during the control phase. Statistical analysis revealed thatAbelmoschus esculentus has its hypoglycemic effect only during the first hour while dataresults for the 2nd and 3 rd hour are considered insignificant. The results proved that okra’smechanism in lowering glucose levels is immediate yet of short duration. Based on the datagathered, the researchers conclude that the powdered peel of Abelmoschus esculentus (okra) iseffective in lowering the blood glucose levels of IFG individuals only during the first hour afterthe administration of oral glucose load. Abelmoschus esculentus may not be effective inlowering the blood glucose after the next hours due to the fact that its mechanism of action isimmediate but of short duration. The researchers recommend future researches on the study ofAbelmoschus esculentus using increased dosage of each participant and that the experimentshould be performed at the same month.
Analisis Gerombol untuk Pengelompokan Kabupaten/Kota di Sulawesi Utara

Agriculture is a human activity which includes farming, livestock, fisheries and forestry. Agricultural production is very important in everyday life. In this study using cluster analysis which is a multivariate technique that has the main objective to group district/city and compare groupings of hierarchical clustering analysis using the single lingkage method, complete lingkage, average linkage, centroid method and ward method based on agricultural production in North Sulawesi. By using Euclidian Distance, the clusters on the Single Lingkage Method, Complete Lingkage, Average Lingkage and Centroid Method there are 5 clusters, while in the Ward Method there are 6 Clusters. Based on the cluster, that will see a comparison using the CTM (Cluster Tightness Measure) formula on the Single Lingkage Method, Complete Lingkage, Average Lingkage, the Centroid Method produces the same value which is 0.054448 while the Ward Method produces a value which is 0.046549. So, it can be concluded that the selection of the best method in clustering is the Ward Method. Article Information Received : 20 June 2019 Received after revision : 23 July 2019 Available online : 25 July 2019
An Atomistic Perspective on the Effect of Strain Rate and Lithium Fraction on the Mechanical Behavior of Silicon Electrodes

The process of charging and discharging of lithium-ion batteries results in the periodic intercalation and ejection of lithium ions in the anode material. High-capacity anode materials that are of significant interest for next-generation batteries, such as silicon, undergo large deformation during this process. The ensuing electro-chemo-mechanical stresses and accompanying microstructural changes lead to a complex state of inelastic deformation and damage in the silicon electrode that causes a significant capacity loss within just a few cycles. In this study, we attempt to understand, from an atomistic viewpoint, the mechanisms underlying the plasticity behavior of Si-anode as a function of lithiation. Conventional molecular dynamics simulations are of limited use since they are restricted to loading rates in the order of 10 s. Practical charging-discharging rates are several orders of magnitude slower, thus precluding a realistic atomistic assessment of the highly ratedependent mechanical behavior of lithiated silicon anodes via conventional molecular dynamics. In this work, we use a time-scaling approach that is predicated on the combination of a potential energy surface sampling method, minimum energy pathway, kinetic Monte Carlo, and transition state theory, to achieve applied strain rates as low as 1 s. We assess and compare the atomistic mechanisms of plastic deformation in three different lithium concentration structures: LiSi2, LiSi, and Li15Si4 for various strain-rates. We find that the strain rate plays a significant role in the alteration of the deformation and damage mechanisms including the evolution of the plastic deformation, nucleation of shear transformation zone, and void nucleation. Somewhat anomalously, LiSi appears to demonstrate (comparatively) the least strain rate sensitivity. [DOI: 10.1115/1.4045545]