Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review on Durability Enhancement of Fly Ash Based Geopolymer Concrete at Different Curing Temperatures-LCA

In the Production of cement heating of limestone releases CO2 into atmosphere as well as the large amount of waste coming out from thermal power plants in the form of Fly ash, which contain minerals (aluminosilicate) and creates ecological problems. In early years, it has been found that utilization of fly ash for making of Geopolymer Resin is considered as an Ecofriendly and alternative to OPC (Ordinary Portland Cement). This paper reviews summary on geopolymer Resin concrete like mixing process of all materials is carried, as well as chemical composition for the alkali activator to calculate the optimum composition ratio based on the suggested molarity ratio and Properties of mortars/concrete made from geopolymer binders. The potential of Alkali activated fly ash binder to produce geopolymer concrete durability studies such as high temperature and curing conditions of geopolymer concrete is referred as LCA (Life Cycle Analysis) are examined. Index Terms Geopolymer, Fly Ash, Ordinary Portland cement, Durability, Life Cycle Analysis.
Tobacco and Smoking Cessation

Smoking cessation is essential for COPD patients. It mitigates the progression of the disease and the loss of ventilatory capacity, thus improving the overall prognosis. Overall mortality can be reduced effectively including mortality from respiratory diseases as well as lung can - cer and cardiovascular diseases. Its main goal must be to initiate tobacco cessation as early as possible after diagnosing COPD so as to enable the patient to influence the course of this disease in the most effective way possible. Depending on the degree of tobacco addiction, the application of behavioural therapy combined with pharmaceutical support has shown to be the most reliable therapy with highest long-term abstinence rates. Particular consid eration is needed for patients with psychiatric comorbidity mainly represented by depres - sion. The setting of tobacco cessation measures in outpatient clinics or practices embedded in long-term therapy of the underlying respiratory disease appears to be crucial for long- time abstinence.
Case Report: Sodium Valproate-Induced Neutropenia in a Patient with Bipolar Disorder

Background: There are sporadic case-reports suggesting an association between sodium valproate and neutropenia, though the majority of these are in cases of paediatrics and epilepsy. There are a few cases of psychiatric patients developing neutropenia after newly being started on sodium valproate. We present a patient, previously on long-term sodium valproate therapy, who developed neutropenia after being restarted on sodium valproate. Case report: A 52-year-old Chinese man with bipolar disorder, previous well on a combination of sodium valproate and risperidone, was re-admitted for a manic relapse after a period of non-compliance. He developed neutropenia that coincided with increases in sodium valproate dose, and only resolved upon discontinuation of sodium valproate, despite continued increases in risperidone dose. Other investigations for neutropenia, including physical examination and blood tests, were unremarkable. He was eventually stabilized on a combination of risperidone and aripiprazole. Conclusions: This report adds to the growing evidence for sodium valproate-induced neutropenia. Given the frequency of prescription of sodium valproate in bipolar disorder, and the potential serious consequences of neutropenia, this is an area that merits large-scale research.
Experimental Investigation on Mechanical Behaviour of Hybrid Composite

The use of composite material is very wide and is increasing at rapid pace in all fields of science and technology due to its desirable properties. The importance of materials in modern world can be realized from the fact that much of the research is being done to apply new materials to different components. The composite material with a composition of Kevlar, basalt and carbon fibers with a suitable epoxy resin as matrix, the composite sheet was hybridized with vacuum resin infusion technique with different composition. Various mechanical properties such as tensile strength (TS), compressive strength (CS), Flexural strength (FS), Impact Strength (IS),Which make it suitable for many applications to various fields such as in the construction, cryogenics, and bullet proofing, high energy absorbing equipment. The water absorption and soil degradation test confirm its environmental effects with the % of water absorbed whereas alkali test conducted with 50% concentrated H2SO4 makes it clear the behavior of composite material from any chemical degradation.
Medical Management of Type 2 Diabetes

Type 1 diabetes is a complex disease that affects every aspect of a patient's life, often beginning from a very young age. Health-care professionals are tasked with creating individualized, flexible treatment plans to optimize blood glucose control while accounting for diabetes complications, psychosocial factors, and the developmental state of each patient. This updated edition presents the latest guidelines for the comprehensive management of this disease and practical strategies to improve patient outcomes.
Nature‐based marine tourism in the Gulf of California and Baja California Peninsula: Economic benefits and key species

Nippon Foundation Ocean Nexus Program, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, British Columbia, Canada Irvine Science Communications, Rancho Santa Fe, California Blue Latitudes, La Jolla, San Diego, California Independent Researcher, Melbourne, Victoria, Australia BIG BLUE Freediving For The Ocean, La Paz, Mexico Turismo Alternativo, Universidad Autónoma de Baja California Sur, LaPaz, BCS, Mexico MarFishEco Fisheries Consultants, Institute of Life and Earth Sciences, Heriot Watt University, Edinburgh, UK
Analysis of the Early Pleistocene Elephants from Buia (Eritrea)

In 1995 a new paleoanthropological site was discovered in the northern Danakil (Afar) depression neat the village of Buia, 110 km south of Massawa, Eritrea. Field work in the area assigned to the project – delimitated by Derawle Stream (to the North) and Wadi Mahabale (to the South) – is conducted under a joint collaborative research between the National Museum of Eritrea (NME), the Eritrea Department of Mines (DMA), the Dipartimento di Scienze della Terra (DSTF), and Museo di Geologia e Paleontologia (MGPF) of the Università degli Studi di Firenze. The Buia project has been definitely approved by the Eritrea University Research Committee and is currently fully operative. The field surveys by the project components lead to the discovery of an almost complete Homo cranium associated with a rich early Pleistocene vertebrate fauna and with artefacts of both Oldowan and Acheullean character abundant and widespread in the area (Abbate et al. 1998; Rook et al. 1999). The Homo-bearing level was dated at about 1 million years on magnetostratigraphic and faunal evidence. Among mammals, elephant remains are abundant and were recovered from many sites within the studied area.
Development of progressive hearing loss and tinnitus in a patient with myasthenia gravis: an overlooked comorbidity?

Abstract Purpose: There is evidence of progressive antibody-mediated loss of acetylcholine receptors on outer hair cells in the inner ear that underlies hearing dysfunction in myasthenia gravis patients. In this paper, we present the case of a 35-year-old patient with adult-onset myasthenia gravis and thymoma who experienced progressive hearing loss and bilateral high-pitched tone tinnitus worsening over time. Materials and methods: Patient underwent pure tone audiometry, acoustic immittance test, decay test, transient-evoked and distortion product otoacustic emissions with and without contralateral acoustic stimulation, somatosensory tinnitus screening maneuvers and self-assessment questionnaires for tinnitus, hearing loss and hyperacusis, in addition to anamnestic interview and complete ENT visit. Questionnaires for psychiatric comorbidities (SCL90R – Symptom Checklist 90 Revisited) were also administered to the patient. The patient was studied in baseline conditions and 1 h after administration of the acetylcholinesterase inhibitor pyridostigmine bromide, a drug that has been reported to have a temporary effect on outer hair cell electromotility in myasthenia gravis patients. Results: Pure-tone audiometry showed a progressive hearing loss for high frequencies. Consistently, transient-evoked and distortion product otoacoustic emission amplitudes were significantly reduced for mid and, especially, high frequencies; after drug administration, a significant otoacoustic emission amplitude increase was recorded. Conclusions: Our findings documented a chronic dysfunction of outer hair cells consistent with acetylcholine receptor loss; these alterations could represent a basis for development of hearing loss and tinnitus.
Thermal Property Studies of In Situ Blended Graphene/Nature Rubber Nanocomposites

In this work, graphene/nature rubber (GE/NR) composites with filler content from 0 wt% to 1 wt% were prepared by an in situ reduction process. Thermal properties of the nanocomposites were studied by thermogravimetric (TG) analysis and thermogravimetric difference (ΔTG). Composites with higher GE content evidenced stronger thermal stability-enhancing effect. Kinetic analysis showed that the activation energies ( ) during degradation of composites were always higher than pure NR. However, reached its maximum at 0.1 wt% GE content and started to decrease with further increase in GE loading. The changes in the thermal properties were attributed to the chemical structure and heat transfer properties of graphene sheets.
Convergence andConsistency of RecursiveLeast SquareswithVariable-RateForgetting

A recursive least squares algorithm with variable rate forgetting (VRF) is derived by minimizing a quadratic cost function. Under persistent excitation and boundedness of the forgetting factor, the minimizer given by VRF is shown to converge to the true parameters. In addition, under persistent excitation and with noisy measurements, where the noise is uncorrelated with the regressor, conditions are given under which the minimizer given by VRF is a consistent estimator of the true parameters. The results are illustrated by a numerical example involving abruptly changing parameters.
Populist Constitutions

This Essay draws on recent academic definitions of populism and recent examples of its use in order to show that there is an affinity between populism and widespread constitutional change. It argues that populists use constitutional change to carry out three functions: deconstructing the old institutional order, developing a substantive project rooted in a critique of that order, and consolidating power in the hands of populists. Thus, access to the tools of constitutional change may accentuate both the promise of populism as a corrective to stagnating liberal democracies and the threat that it poses to those constitutional orders. I also argue that there is a trajectory to populist constitutionalism: populist constitutions begin by emphasizing their promise to improve on existing liberal-democratic constitutional orders and obscuring their underlying consolidation of power, but if populists are able to maintain power for long periods of time, they will likely become overtly illiberal, arguing that their substantive goals cannot be met within the confines of liberal democracy. This suggests at least two separate agendas: one that prevents the forms of constitutional change that allow populists to mold the constitutional order so that they become difficult to dislodge and a second that makes a stronger affirmative case for the virtues of liberal democracy.
The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective

The first-hand house price in Beijing, the capital of China, has skyrocketed with 43 percent annual growth from 2005 to 2017, exerting tremendous adverse effects on people’s livelihood and the development of real estate. Thus, exploring the behavioral mechanism and accurate forecasts of house prices is a critical element in making decisions under uncertain conditions and is of great practical significance for both participants and policymakers in real estate. According to the complex features of house price, including nonlinear, nonstationary, and multiscale, and considering the remarkable time and frequency discrimination capability of multiscale analysis in dealing with house price problems, we develop an ensemble empirical mode decomposition- (EEMD-) based multiscale analysis paradigm to investigate the behavioral mechanism and then obtain accurate forecasts of house prices. Specifically, the monthly house price in Beijing over the period January 2005 to November 2018 is first decomposed into several different time-scale intrinsic-mode functions (IMFs) and a residual via EEMD, revealing some interesting characteristics in house price volatility. Then, we compose the IMFs and residual into three components caused by normal market disequilibrium, extreme events, and the economic environment using the fine-to-coarse reconstruction algorithm. Finally, we propose an improved hybrid prediction model for forecasting house prices. Our experimental results show that the proposed multiscale analysis paradigm is able to clearly reveal the behavioral mechanism hidden in the original house price. More importantly, the mean absolute percentage errors (MAPEs) of the proposed EEMD-based hybrid approach are 5.62%, 7.24%, and 8.63% for one-, three-, and six-step-ahead prediction, respectively, consistently lower than the MAPE of the three competitors.
BIFURCATION ANALYSIS FOR A QUASI-LINEAR CENTRIFUGAL

A vibrational pendulum absorber with trapezoidal suspension is a modification of the classical pendulum absorber, which allows not only its translational motion but some complex 2D-motion of the pendulum. It provides not only higher performances of the absorber, but also some new interesting features. About them it is a possibility for partial compensation of non-linearity. It allows avoiding the parasite super-harmonical respond of the pendulum. The bifurcation analysis of such a pendulum make possible to estimate effectiveness of a new type pendulum absorber. This paper is a continuation of previous investigations [1,2] devoted to a pendulum absorber problem. Main methods used here are methods based on the bifurcation theory [3-11] of nonlinear dynamical systems. Among them are the method of complete bifurcation groups with parameter (orbit) continuation, concepts of periodic skeletons with passports of stable and unstable orbits, unstable periodic infinitiums, determined chaotic regions and rare attractors. For numerical realization of the bifurcation theory for pendulum absorber problem, original software is used. Eugen B. Kremer, Mikhail V. Zakrzhevsky, Igor T. Schukin, Alexey V. Klokov 2
Example-Based Face-Image Restoration for Block-Noise Reduction

—Highly compressed images from surveillance-camera systems suffer from block noise. We propose two methods to restore such degraded face images based on an example-based Super-Resolution (SR) method. The base method preliminarily generates a database of patches from a training set of face-image examples and reconstructs a High-Resolution (HR) image from a given Low-Resolution (LR) image by using the patches and taking the positions of facial parts into consideration. The proposed methods aim to restore highly-compressed degraded images instead of LR images. One of the proposed methods named as the Direct method, synthesizes a restored texture directly with a given degraded image. The other method, named as the Smooth method, synthesizes a restored texture with a filtered image generated from a given degraded image. The Direct method results in a 3.2 dB improvement in terms of Peak Signal-to-Noise Ratio (PSNR) on average for the lowest quality rate i.e. 1% (around 120:1 compression rate), while the conventional Gaussian-filtering method results in a 2.5 dB improvement. Although the Direct method results in better quality for highly-compressed images compared to the conventional Gaussian-filtering method and Smooth method, unnatural block noise is still observed in the restored images. The Smooth method yields more natural images and better PSNRs for images when the quality rate is around 5%. 
A Review on Future of Smart City Wireless Charging of Electric Vehicles

This paper presents an overview of current wireless power transfer (WPT) technologies for the application of electric vehicles (EV) wireless charging. The basic principles of each technology are introduced. Followed by classification, the advantages and limitations of each technology for EV charging are discussed. Making use of inductive charging MEDs can act as mobile charging stations, thus improving the overall energy consumption of a fleet of vehicles. The latest development, key technical issues, challenges and state-of-art researches are introduced. The research trends are also been given.
Role of Stereotactic Radiotherapy in Cranial Metastases of Small Cell Lung Cancer

OBJECTIVE Brain metastasis can be seen in small cell lung cancer patients despite cranial radiotherapy. In case of intracranial recurrence after cranial radiotherapy, treatment choices are restricted. Cranial reirradiation may be an option. In our study, the role of stereotactic radiotherapy after relapse in patients undergoing whole-brain radiotherapy for prophylaxis or metastasis was investigated.
Dragnet: A Method for Tagging Bitcoin Addresses of Exchanges

Currently, there are hundreds of Bitcoin exchanges on the market, so choosing a reliable exchange is a critical issue for users. We know that the amount of Bitcoin holdings is an essential indicator for evaluating an exchange, but people have very few ways to access this information. Besides, many reports indicate that the trading volumes of most Bitcoin exchanges do not match their real situations, and the fake volume has become an unspoken rule of the whole industry. It causes the public to doubt the actual amount of Bitcoin owned by each exchange. To solve the problem of information asymmetry between users and exchanges, we propose a method for tagging Bitcoin addresses of exchanges. Through vertical, forward, and backward address mining, the method can utilize only one or several addresses of an exchange to find out all its addresses and distinguish different address types: deposit wallet, hot wallet, and cold wallet. Then the balance and transfers of the exchange can be further obtained through these addresses, helping users understand the real Bitcoin holdings of the exchange. Several experiments are conducted to evaluate the effectiveness of the proposed Bitcoin address tagging method. Our method has very little dependence on off-chain information. Only one address is needed for each exchange as a seed to find out all the other addresses. Such a seed address can be easily obtained by depositing some Bitcoin into the exchange or withdrawing some from it, which makes our method feasible for all exchanges.
Polya Counting Theory Applied to Combination of Edge Conditions for Generally Shaped Isotropic Plates

Structural behaviors of plate components, such as internal stress, deflection, buckling and dynamic response, are important in the structural design of aerospace, mechanical, civil and other industries. These behaviors are known to be affected not only by plate shapes and material properties but also by edge conditions. Any one of the three classical edge conditions in bending, namely free, simply supported and clamped edges, may be used to model the constraint along an edge of plates. Along the entre boundary with plural edges, there exist a wide variety of combinations in the entire plate boundary, each giving different values of structural responses. For counting the total number of possible combinations, the present paper considers Polya counting theory in combinatorial mathematics. For various plate shapes, formulas are derived for counting exact numbers in combination. In some examples, such combinations are confirmed in the figures by a trial and error approach.
Medium Term Expenditure Frameworks (MTEFs): an introduction

The budgeting process in low income countries tends to result in the allocation of resources on a historical incremental basis. This bears little relation to current health priorities and leads to a system which is unresponsive to changing health needs. It often involves programme managers submitting bids which are cut at the last minute, often in an arbitrary manner, by finance ministries to fit within existing resource ceilings. Overoptimistic assumptions about the amount of money to be mobilised through taxation or other sources, and weaknesses in financial management systems, also mean that budgeted allocations are rarely disbursed in full or in a timely and predictable fashion. Links between the development and recurrent budgets tend to be weak or non existent. Budget processes therefore lack credibility and provide little basis or incentive for sound planning even if the technical capacity exists to do so. Without this the scope for developing approaches based on sector or budgetary support is extremely limited.
Image Classification using HOG and LBP Feature Descriptors with SVM and CNN

— Image recognition and classification plays an important role in many applications, like driverless cars and online shopping. We present the classification of Fashion-MNIST (F-MNIST) dataset using two important classifiers SVM (Support Vector Machine) and CNN (Convolutional Neural Networks). In the first model two feature descriptors HOG (Histogram of Oriented Gradient) and Local Binary Pattern (LBP) with multiclass SVM. In this paper we explore the impact of various feature descriptors and classifiers on Fashion products classification tasks. We have used one of the most simple and effective single feature descriptor HOG. The multiclass SVM which is one of the best machine learning classifier algorithms is used in this method to train the images. In computer vision Convolutional Neural Networks (CNN or ConvNet) are the default deep learning model used for image classification problems. Selecting appropriate technique for feature extraction and choosing a best classifier algorithm remains a big challenging task for attaining good classification accuracy. However, the experimental results show that impressive results on this new benchmarking dataset F-MNIST.
Evaluation of cadmium, lead, zinc and copper levels in selected ecological cereal food products and their non-ecological counterparts

Abstract In the everyday human diet, cereal products are considered to be basics. Such food should have healthy properties and not contain harmful additives, especially heavy metals as exposure to low doses of such xenobiotics can adversely affect human health. Ecological farming is the answer to consumer expectations regarding food safety, and ecological products are recommended as a basis for proper nutrition, despite the higher cost of their purchase. The present study was carried out to evaluate the content of heavy metals in ecological cereal products and their non-ecological analogues.