Miracle-dz/UniFAR-FTUs huggingface dataset:
Practicing versus None Practicing Self-Monitoring of Blood Glucose among Newly Diagnosed Type II Diabetes Mellitus

Background: Diabetes is a worldwide growing serious health problem and causes significant morbidity and mortality. Self-monitoring of blood glucose has been accepted as an important instrument that empowers diabetic patients to maintain and achieve therapeutic goals. Aim of this study was to compare practicing and none practicing Self-Monitoring of Blood Glucose among newly Diagnosed Type II Diabetes Mellitus as regard; patients' attitude, knowledge and compliance. Design: A descriptive design was used in this study. Setting: This study was conducted at the medicine outpatient clinics of Menoufia University Hospital and Shebien El-Kom teaching Hospital, Menoufia Governorate, Egypt. Sample: A purposive sample of 180 adult patients newly diagnosed with type II diabetes mellitus was included in this study. Tools: I. Structured questionnaire was designed by researchers to collect patients' Sociodemographic data and medical history such as: age, gender, marital status, educational level occupation, family history, past medical history and Knowledge assessment was designed by to assess patients' basic knowledge about diabetes mellitus. II. Attitude scale; it is a Likert scale was developed to assess diabetic patients' attitude regarding their general health and disease progress. III. Compliance Assessment Questionnaire was designed to assess degree of diabetic patients' compliance regarding diet, exercise, medication, foot care and selfmonitoring of blood glucose. Results: The current study revealed that70% of blood glucose self-monitoring practicing group and only 45.6% of nonpracticing group had satisfactory knowledge while 68.9% of practicing group and only 41.1% of nonpracticing group had positive attitude and 66.7% of practicing group and only 23.3% of non-practicing group had good compliance for diabetes mellitus. Conclusion: Practicing group of blood glucose self-monitoring resulted in increased knowledge satisfaction, positive attitude and good compliance toward diabetes mellitus than none practicing group. Recommendations: Self-monitoring of blood glucose was an effective tool that implicated change in diabetic patients' knowledge, attitude and compliance toward diabetes. More awareness and education programs are needed for diabetic patients about the important role of blood glucose selfmonitoring to achieve the desired therapeutic goals.
Satellite Image Classification By Neural Networks And Fuzzy Inference Systems

:- This paper studies the performance and efficiency of the classification approaches on the satellite images. In this work, two methods will be used for image classification: the neural network and fuzzy inference methods. Also, this study displays the comparison between the previous approaches for explaining the amount of the efficiency and accuracy of these approaches in the image classification. The performance of two satellite image classification approaches has been examined.The experimental results prove that the neural network approach (NN) has the high efficiency and efficacy in the satellite image classification than the other classification approaches
Opposing of Necrotic Enteritis by Phytonutrients and/or Acidifiers in Broiler Chickens

The protective effect of orally supplemented plant-derived microencapsulated phytonutrients [Capsicum oleoresin (Capsicum annuum) and Turmeric oleoresin (Curcuma longa)] and/or a protected acidifiers blend on experimentally induced NE, intestinal and caecal colonization of C. perfringens and TAB, immune status assessment, growth performance and carcass yield of broiler chickens was elucidated in the present investigation. Broiler chicken groups were continuously fed with a standard diet or supplemented standard diet from hatch up to slaughter (d 35 of age). Obtained results clarified that broiler diets supplemented with microencapsulated phytonutrients and/or dietary acidifiers blend significantly improved BW and BWG (P<0.05), numerically improved FCR, decreased feed consumption and mortality rate, increased production number vs. PC group. They improved carcass characteristics, reduced macroscopic and microscopic lesion scores associated with C. perfringens infection. They reduced intestinal and cecal colonization of both C. perfringens and TAB and improved the immune status assay. It could be assumed that they can make a valuable contribution to flock health and safety of food and could help in sustaining the GIT integrity damaged by C. perfringins infection and could be a tool for impedance of NE in broiler chickens.
ENERGY HARVESTING SYSTEMS: THEORY AND PRACTICAL DESIGN

Energy harvesting emerges as a promising technology for the development of future digital communications regarding the paradigm of green communications. In this scenario, the most relevant characteristic is the use of renewable energy to power wirelessly electronics devices in a microwatt scale. By means of this technology several advantages are achieved in the field of wireless communications. Self-powered systems are developed to increase battery lifetime and to achieve lower operating cost. The main applications are reported in the fields of wireless sensor networks, cellular network, as a key component for the deployment of 5G, in radio frequency identification (RFID) systems to asset tracking, and in cognitive radio paradigm. The major problem is that energy sources are time-variant and unpredictable, which in turn causes several constrains in the processing capability of these devices. RF sources are presented as an attractive solution since it does not depend on nature and it provides relatively predictable energy supply. In this sense, the current article is addressed to model theoretically RF energy harvesting systems and describe the main limitations and practical issues. Several solutions are analyzed with the objective to improve performance and reliability. The mainly components of harvesting nodes and the practical considerations of circuits design are also described. Open challenges are presented as guideline of future researches.
Analysis of DNA Sequence Information and Complexity

--- Lempel-Ziv (LZ) complexity of a DNA sequence can be used in modern structural analysis of complete genomes. The low complexity is corresponding to the strong inequality in nucleotide content (e.g. tandem or dispersed repeats or palindrome-hairpin structures, etc). Shannon's information entropy is simply the "amount of information" in a source of data, which is used to study the amount of information in a sequence (e.g. DNA). In this paper, we utilize two different methods to analyze the same DNA sequence. The special structure patterns of the studied DNA would have a great significance for the clinic diagnosis and treatment of some diseases such as the Alzheimer's disease.
Reproducibility Report for ACM SIGMOD 2020 Paper: ``Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks''

The authors provided concise and sufficiently clear instructions where to find code and data, and how to repeat the main experiments from the paper. The structure of the code repository is generally self-explanatory, and together with the included README file, other researchers should be able to navigate it easily. Running the code mostly requires setting parameters in configuration files that control execution. The authors provided ready-to-run scripts with parameter settings that made it easy to reproduce the most important results from the original paper. However, due to an algorithm and code update after publication of the original paper, a few of the algorithm-quality-related numbers changed significantly. Trying to repeat experiments not covered by the provided scripts would require a reasonable additional effort to map settings discussed in the paper to the parameter values in the configuration files.
Effect of Back Massage on Nausea, Vomiting, Anxiety and Fatigue among Breast Cancer WomenWhoReceiveChemotherapy: Supportive care in Oncology Nursing

Chemotherapy is one of the breast cancer treatment modalities. But it hasvarious side effects which affect quality of life and patients' compliance as nausea, vomiting, fatigue and anxiety.There are many studieswhich indicated that the massage therapy help in reducing these effects. Aim of the study: toevaluate effect of back massage on nausea, vomiting, anxiety and fatigue among breast cancer womenwho Receive chemotherapy. Subjects and Method:Design; A quasi-experimental research design was used in the current study. Setting: the study was conducted in chemotherapy unit, Oncology Institute, Menoufia University Hospitals, Egypt. Sample: purposive sample of 98 women had breast cancer and receiving chemotherapy were taken from the above-mentioned settingand divided into two equal groups; intervention (study) and control groups. Tools:(1) An interviewing questionnaire sheet for demographic and medical data, (2) Rhodes Index of Nausea andVomiting (RINV), (3) Beck Anxiety Inventory (BAI), and (4) The Brief Fatigue Inventory (BFI). Results: No statistically significant differences were found between both study and control groups concerning to the scores of RINV, BAI and BFI before back massage intervention. But after back massage intervention there were significant reduction in the scores of RINV, BAI and BFI in the study group as compared to control group. Conclusion:implementing of back massage during chemotherapy session in breast cancer women reducedthe anxiety, fatigue, nausea and vomiting significantly in the study group. Recommendations:Increase awareness of oncology nurses about the positive effects of back massage during chemotherapyand encourage the nurses to apply this intervention. Key wards:Chemotherapy Breast Cancer – Nausea – Vomiting – Anxiety – Fatigue -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 13-05-2019 Date of acceptance: 30-05-2019 -------------------------------------------------------------------------------------------------------------------------------------
Distribution and Habitat Suitability for Small Mammals in Need of Conservation from Louisiana

Managing species with small population sizes is challenging without current knowledge of where they occur and where suitable habitat is located. A literature and museum database search for distributional records of eight species of small mammals that are imperiled in Louisiana was conducted. Using that data, we generated habitat suitability models for each species. The most contemporary distribution for each of these species in the state is provided and two critical regions in Louisiana where suitable habitat for multiple species overlaps is identified.
Psychol Mark

Funding information Social Sciences and Humanities Research Council of Canada, Grant/Award Number: 430‐2019‐00218 Abstract Premature disposal of functional products is a global problem adding to waste and feeding a consumer culture. Contrary to this, frugal consumers take care and extend the life of their products, elongating the usage and value obtained from their possessions. Despite this, little is known about frugal consumers and the factors that eventually initiate their actions towards the end‐stages of consumption (e.g., declined usage). The present research explores one such psychological factor that may dictate frugal consumers’ willingness to discontinue usage of their products; impression management. Three studies demonstrate that when the marketplace’s opinion of an owned product is negative (e.g., inferior value), then the well‐accepted frugality‐usage intentions relationship diminishes. This effect is due in part to the undesirable image that owning such a product portrays, that of a consumer who makes poor choices. By examining what can initiate the end‐stages of consumption for frugal consumers, this study broadens our understanding of anticonsumption lifestyles postpurchase, exploring factors beyond functionality, and obsolescence that influence decisions to continue or discontinue using products consumers already own.
17 Ceramic Nanocomposites_chapter 17 548..581

Current research trends on nanocomposite materials for tissue engineering, including strategies for the fabrication of nanocomposite scaffolds with highly porous and interconnected pores are presented. The results of in-vitro cell culture, used to analyzed the cell–scaffold interaction considering the colonization of mesenchymal stem cells and degradation of the scaffolds in-vitro, are also discussed.
Leveraging Blockchain technology on bitcoin from Cyber-Security Issues

: With the enhanced iteration of technological innovation, blockchain has rapidly become one of the hottest Internet technologies in recent years. As a decentralized and distributed data management solution, blockchain has restored the definition of trust by the embedded cryptography and consensus mechanism, thus providing security, anonymity and data integrity without the need of any third party. But there still exists some technical challenges and limitations in blockchain. Bitcoin is a popular cryptocurrency that records all transactions in a distributed append-only public ledger called blockchain. In this paper, we present a systematic survey that covers the security and privacy aspects of Bitcoin. We start by presenting an overview of the Bitcoin protocol and its major components along with their functionality and interactions within the system. We review the existing vulnerabilities in Bitcoin and its underlying major technologies such as blockchain. This paper has conducted a systematic research on current blockchain application in cybersecurity. In order to solve the security issues, the paper analyzes the advantages that blockchain has brought to cybersecurity and summarizes current research and application of blockchain in cybersecurity related areas. Through in-depth analysis and summary of the existing work, the paper summarizes four major security issues of blockchain and performs a more granular analysis of each problem. Finally, we summarize the critical open challenges and suggest directions for future research towards provisioning stringent security and privacy techniques for Bitcoin.
1 Billion Citation Dataset and Deep Learning Citation Extraction

Citation or reference parsing involves extracting machine readable metadata from a citation string. This paper details the work carried out in creating a large, diverse and labelled citation dataset which can be used to train ML citation parsing tools. The dataset was created by adapting the citation styles within CSL, collecting citation metadata from CrossRef and using the opensource citation processor, citeproc-js. It contains 991,411,100 XML labelled citation strings in over 1,500 different citation styles. These are composed of a diverse range of citation types from a wide range of academic fields. When the granularity of the training data is the same the 1 Billion Citation Dataset was shown to be on a par with the state-of-the-art hand-labelled training datasets (Hand-labelled Training Data Macro-Average F1 0.74 vs Synthetic Training Data Macro-Average F1 0.74). These results indicate that the 1 Billion Citation Dataset has a lot of potential for training a deeplearning based citation parsing model and that this may lead to significant improvements in the accuracy of citation parsing.
Detection of Edwardsiella tarda Infection of Catfish (Clarias gariepinus) in Central Tapanuli Regency, North Sumatra, Indonesia

Edwardsiella tarda is one of zoonotic bacteria being able to colonize and infect across biological organisms. The species is regarded as important pathogenic bacteria in the field of aquaculture which is needed to be monitored and prevented for disease incidence. Recent investigation in Central Tapanuli as aquaculture site for catfish (Clarias gariepnius) revealed that there was a high incidence (25-30%) of detected E. tarda based on culture-based method following the methodology of Indonesian National Standard. The study sites namely Site I, II, III, and IV showed a differences in proportion of E. tarda while mud pond showed a higher incidence than tarp pond. Infected C. gariepinus showed a morphological sign of lesions on body surface indicating the infection of E. tarda. Based on target organ infection, the highest detection (%) was obtained from kidney followed with muscle, lymph, and liver with the percentage of 47.62, 44.76, 5.71, and 1.90%, respectively. Confirmation of E. tarda was further performed by testing co-agglutination method on catfish samples. By comparing the proportion of detection with serological test, there was no significant differences between culture-based technique and immunological test (P>0.05).
Exploring Expertise through Visualizing Agent Policies and Human Strategies in Open-Ended Games

In this research, we explore the problem solving strategies of both humans and AI agents in the open-ended domain of video games. We utilize data collected from several human-level performing AI agents, that follow a given policy, and data from expert human players, that follow a set of strategies, for two Atari 2600 console games. We compare both types of data streams using a visualization technique to gain insights about how each player type, AI or expert human, go about solving the given games. Analyzing the action sequences of the two, we demonstrate how closely the agent policies resemble the real-world problem solving of a human player, and explore how we might extract human-level strategies for agent policies. We reflect on the benefits of using data from both AI agents and expert humans to instruct learners, model their behaviour, and how strategies may be more apparent and easier to adopt from human play. Finally, we hypothesize the benefits of combining both types of data for learning these complex tasks within open-ended domains.
Matchmaker Paxos: A Reconfigurable Consensus Protocol [Technical Report]

State machine replication protocols, like MultiPaxos and Raft, are at the heart of nearly every strongly consistent distributed database. To tolerate machine failures, these protocols must replace failed machines with live machines, a process known as reconfiguration. Reconfiguration has become increasingly important over time as the need for frequent reconfiguration has grown. Despite this, reconfiguration has largely been neglected in the literature. In this paper, we present Matchmaker Paxos and Matchmaker MultiPaxos, a reconfigurable consensus and state machine replication protocol respectively. Our protocols can perform a reconfiguration with little to no impact on the latency or throughput of command processing; they can perform a reconfiguration in one round trip (theoretically) and a few milliseconds (empirically); they provide a number of theoretical insights; and they present a framework that can be generalized to other replication protocols in a way that previous reconfiguration techniques can not. We provide proofs of correctness for the protocols and optimizations, and present empirical results from an open source implementation.
A Smart Contract Oracle for Approximating Real-World, Real Number Values

A key challenge of smart contract systems is the fact that many useful contracts require access to information that does not natively live on the blockchain. While miners can verify the value of a hash or the validity of a digital signature, they cannot determine who won an election, whether there is a flood in Paris, or even what is the price of ether in US dollars, even though this information might be necessary to execute prediction market, insurance, or financial contracts respectively. A number of promising projects and research developments have provided a better understanding of how one might construct a decentralized, binary oracle - namely an oracle that can respond by one of two possibilities, typically "yes" or "no", even while not requiring the interaction of a trusted third party. In this work, we extend these ideas to construct a general-purpose, decentralized oracle that can estimate the value of a real-world quantity that is in a dense totally ordered set, such as R. In particular, this proposal can be used to estimate real number valued quantities, such as required for a price oracle. We will establish a number of desirable properties about this proposal. Particularly, we will see that the precision of the output is tunable to users' needs.
ECOLOGY OF PALEOCENE-EOCENE VEGETATION AT KAKAHU, SOUTH CANTERBURY, NEW ZEALAND

A plant-fossil bearing sequence at Kakahu, south Canterbury, New Zealand, probably extends from the late Paleocene to the Early Eocene (palynological Zones PM3MH1). One of the leaf macrofossil assemblages previously published from this locality as Paleocene (J38/f58), is here regarded as coming from very close to, and probably just above the Paleocene – Eocene boundary. Palynology indicates there was a major change in vegetation throughout the Kakahu sequence from conifer to angiosperm (possibly Casuarinaceae) dominance, which is similar to elsewhere in New Zealand. In this study a palynological “interzone” is identified that separates these two extremes. It may correspond to rapid vegetation-climate change over the Paleocene–Eocene boundary. Fossil leaf cuticle is of low diversity, but includes locally common Podocarpaceae conifers, Gnetaceae, at least four species of Lauraceae, and a possible Aquifoliaceae. An important conclusion based on the presence of ubiquitous charcoal is that there was significant landscape burning throughout the sequence. This is likely to reflect climatic conditions but also the character of the vegetation, as controlled by soil conditions, may be implicated. It is consistent with studies in the Northern Hemisphere, which also find significant charcoal around the Paleocene-Eocene boundary. Using leaf margin relationships based on Australian rainforests, the mean annual temperature for two previously published assemblages is remarkably cool – around 4-8 °C – although leaf size suggests warmer conditions, perhaps around 12-20 °C. Mike Pole. Queensland Herbarium, Brisbane Botanic Gardens Mt Coot-tha, Mt Coot-tha Rd, Toowong QLD 4066, Australia. murihiku@yahoo.com
Gravity Interpretation of the RUW (Rendingan-Ulubelu-Waypanas) Geothermal System in Tanggamus Regency, Lampung, Indonesia

Gravity interpretations have been done in the RendinganUlubelu-Waypanas (RUW) geothermal system. A combination of both detailed data within the geothermal system and large-scale data from its surrounding, have been prepared by Pertamina, then processed and interpreted. Density determination is conducted by measuring the cores and cuttings and interpreted using the Nettleton method. The gravity model shows the groups of volcanic lavas and pyroclastics occur across the RUW geothermal system. The basalt group of the Mt. Kukusan basaltic andesite lavas (KkBAl) in the southwest part of the study area, have average thickness is about 1000 m. The Mt. Rendingan andesite lavas (RdAl) in the northern part of the area with thickness about 1600 m underneath the Mt. Rendingan area, and 300 m within the Ulubelu caldera. The Mt. Rendingan pyroclastics (RdPr) in the north central area, the thickness is between 200 m and 300 m. The Mt. Duduk dacite lavas (DdDl) which occur in the north central area underneath the Mt. Rendingan pyroclastics, the thickness is between 800 m and 1000 m. The Mt. Sulah andesite lavas (SlAl) in the western part of the study area have thickness about 150 m.