Miracle-dz/UniFAR-FTUs huggingface dataset:
GOLD NANOPARTICLE TRIGGERED SILOXANE POLYMERIZATION FOR ENZYME FREE IMMUNOASSAY PLATFORMS

Development of affordable biodiagnostic platforms is of enormous importance to address global health challenges, especially for low resource settings [1]. Rapid, reliable and sensitive detection of bioanalytes plays a pivotal role in successful treatment of any disease [2]. In this regard, enzyme linked immunosorbent assay (ELISA), based on antigen-antibody recognition and bio-catalytic property of enzyme for amplification has become one of the most popular methods for laboratory and clinical analysis [3]–[5]. However, there remain some major stumbling blocks for wide acceptance of ELISA. For instance, problematical conjugation of enzyme resulting in unstable and cross linked molecules, loss of binding affinity of protein and enzyme activity during conjugation, production cost of enzymes, poor resistance of chromogenic and fluorogenic organic substrates under action of light constraint its broad use and applications [6]–[9]. Recently, significant nanotechnology based approaches have been proposed to overcome these drawbacks. Nanomaterial based signal amplification has aroused attention because of ease of nanoparticle-protien conjugation, ultrasensitivity, rapidness and easy storage over enzymes [10]–[12]. Many of such methods show good sensitivity, but many of them rely on bulky and complex instruments.
Action of Marker Enzymes of Rheum emodi in Alloxan Induced Diabetic Rats

The present study investigated the possible therapeutic effects of Rheum emodi rhizome extract on certain biochemical markers in alloxan - induced diabetes mellitus in rats. The effects of an 75 % ethanolic extract of R.emodi rhizome extract on the activities of diagnostic marker enzymes aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase and lactate dehydrogenase were examined in the serum, liver and kidney tissues of control and experimental groups. Oral administration of R.emodi rhizome extract (250 mg/kg) 75% ethanolic extract to diabetic rats for 30 days restored all marker enzymes to near control levels. The present results shown that R.emodi rhizome extract consequently may alleviate liver and renal damage associated with alloxan induced diabetes mellitus in rats.
A Geostatistical Framework for Heterogeneous Spatial Data Fusion

This paper proposes a geostatistical framework of spatial data fusion for spatial prediction and uncertainty modeling, while accounting for varieties of spatial heterogeneities and complex spatial dependencies. Within this proposed framework, spatial variables are characterized via spatial covariance functions, which measure the spatial dependencies of pair-wise locations and project heterogeneous spatial data into a unified space of similarity (or kernel space). The representation of spatial covariance thus provides a convenient venue to integrate heterogeneous data source while taking into account spatial dependencies. We show that the probability distribution at target locations given the neighboring observations can be represented as a generalized linear combination of spatial covariance functions between the target and observed locations. For parameter estimation, a recently proposed group LASSO (Least Absolute Shrinkage and Selection Operator)) approach is adopted to prevent the model from over-fitting. Case studies are conducted to showcase the advantages of the proposed framework.
Effective Factors on Project Success in Malaysian Construction Industry

Abstract Although success is a word that encapsulates a general and wide idea and it is challenging to provide a definite and a consensus definition from all individuals concerned, for many years, there has been a growing interest in identification of the success factors and the relationship with project success. In this research, the main objective investigates the relationship between top management, project mission, personnel, communication and Schedule/Plan and project success in construction industry in Malaysia. A survey was conducted among Managers and Employees of construction companies registered with Construction Industry Development Board (CIDB) of Malaysia and the correlation and regression analysis was carried out in order to test the hypotheses of the study. Key areas are now offered that practitioners and academics should further explore to contribute to the knowledge body on project success and to explore in more details which factors affect project success in construction industry in Malaysia.
Research on Current Curative Expenditure among Lung Cancer Patients Based on the “System of Health Accounts 2011”: Insights into Influencing Factors

Purpose: To investigate the total current curative expenditure (CCE) of lung cancer in Hunan Province, China under the framework of the System of Health Accounts 2011 (SHA 2011) and explore the effect of insurance status, surgery and length of stay on the hospitalization expenses of patients with lung cancer. Methods: Through multistage stratified cluster random sampling, a total of 46,214 patients with lung cancer were enrolled from 1,072 medical institutions in Hunan Province in 2016. Under the SHA 2011 framework, the lung cancer CCE was analyzed. The relationships between hospitalization expenditure and the following factors (surgery, type of hospital, insurance status, length of stay, institution level, age and sex) were analyzed using Spearman's correlation analyses, and how these factors influenced hospital expenditure was explored through multiple stepwise regression analysis and structural equation modelling. Results: The CCE for lung cancer patients was 8063.75 million CNY. In total, 96.03% of the CCE for lung cancer occurred in hospitals and 58.88% of the expenditure flowed to general hospitals. The highest expenditures were incurred in the group aged 55-74 y, which accounted for 61.58% of the CCE. Drugs accounted for the greatest share expenditure to lung cancer patients at 34.31% of the CCE. Surgery, insurance status, institution level, sex and hospital type explained 57.5% of the variance in hospital expenses. The hospitalization expenses were related to surgery, insurance status, institution level and sex (rs = 0.033-0.688, p < 0.001). Surgery, insurance status and length of stay had direct effects on hospitalization expenses. Length of stay mediated the relationship between surgery and hospitalization expenses for lung cancer patients. Surgery mediated the relationship between insurance status and hospitalization expenses. All of these variables can explain 45% of the variance in hospitalization expenses. Conclusions: The CCE of lung cancer is extremely high. The problems related to treatment efficiency and equity are serious for lung cancer patients in China. It is essential to expand health insurance coverage and reduce the curative expenditure of lung cancer.
A systematic review and Meta-analysis on the association between Hand-Foot Syndrome (HFS) and Cancer Chemothe- rapy Efficacy

AOU Policlinico S. Orsola-Malpighi Bologna; Department of Public Health, Experimental and Forensic Medicine, Section of Hygiene, University of Pavia; Health Professions Research and Development Unit, IRCCS Policlinico San Donato, San Donato Milanese (Mi); Istituto Nazionale Tumori IRCCS Giovanni Pascale, Napoli; Scientific Directorate, IRCCS Policlinico San Donato, San Donato Milanese (Mi); Department of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy Systematic review Clin Ter 2019; 170 (5):e388-395. doi: 10.7417/CT.2019. 2165
SJTU at MRP 2019: A Transition-Based Multi-Task Parser for Cross-Framework Meaning Representation Parsing

This paper describes the system of our team SJTU for our participation in the CoNLL 2019 Shared Task: Cross-Framework Meaning Representation Parsing. The goal of the task is to advance data-driven parsing into graph-structured representations of sentence meaning. This task includes five meaning representation frameworks: DM, PSD, EDS, UCCA, and AMR. These frameworks have different properties and structures. To tackle all the frameworks in one model, it is needed to find out the commonality of them. In our work, we define a set of the transition actions to once-for-all tackle all the frameworks and train a transition-based model to parse the meaning representation. The adopted multi-task model also can allow learning for one framework to benefit the others. In the final official evaluation of the shared task, our system achieves 42% F1 unified MRP metric score.
Automatic Multi-class Classification of Indonesian Traditional Food using Convolutional Neural Networks

The culinary industry in Indonesia is growing fast in this era of globalization. With the increasing trend in fast food and other foreign culinary, Indonesia is threatening its local culinary existential. A lack of database about local culinary causing a lack of information in its people. Therefore, there is a need for a system model that can identify a local culinary. Hence, it can provide easy access to information to Indonesian and provide a database. This database can also help the government to promote Indonesian food and a chance to keep their existence. This research proposes to make a model that can identify Indonesian food with deep learning techniques. Convolutional Neural Network is chosen as a deep learning technique to recognize ten types of Indonesian food, namely kue rangi, kue putu, bika ambon, ayam taliwang, putu mayang, kerak telor, kue ape, papeda, gudeg, and sate bandeng. We used ResNet50 architecture to classify multi-class labeling. Datasets will consist of 200 images and will be duplicated into three models of separating datasets. In the first model, the dataset has a composition of 75% training dataset and a 25% testing dataset. Similarly, the second model, the dataset has 80:20 of composition, and the third model has 85:15 of composition for training and testing dataset. The experimental results show the third model has the best accuracy of 100%, with 30/30 images predicted correctly.
Comparison of Chemical and Agronomic Characteristics of Two Brassica napus L. Cultivars, Bronowski and Target 1,2

The Brassica napus cultivar, Bronowski, has a low glucosinolate content in the seed and thus has considerable potential as a parent stock for the production of low glucosinolate rapeseed. I t also differs from other B. napus cultivars in fat ty acid composition, but the meal amino acid analysis is similar to that of the standard cultivar, Target. The physical and chemical properties of the Bronowski seed storage proteins are similar to those from Target. While the results permit no definite conclusions about the origin of Bronowski, they show that a cross between i t and Target does not change greatly the amino acid composit ion of meal or the protein composition in the progeny. Crosses between Bronowski and other B. napus cultivars have produced progeny with a glucosinolate content lower than Target and an improved agronomic performance.
1 Mechanistic interrogation of combination Bevacizumab / dual PI 3 K / mTOR inhibitor 1 response in Glioblastoma implementing novel MR and PET imaging biomarkers . 2 3

response in Glioblastoma implementing novel MR and PET imaging biomarkers. 2 3 Philip J O’Halloran, Thomas Viel, David W Murray, Lydia Wachsmuth, Katrin 4 Schwegmann, Stefan Wagner, Klaus Kopka,, Monika A Jarzabek, Patrick Dicker, 5 Sven Hermann, Cornelius Faber, Tim Klasen, Michael Schäfers, David O’Brien, 6 Jochen HM Prehn, Andreas H Jacobs and Annette T. Byrne *** 7 8 Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, 9 Dublin 2, Ireland, National Neurosurgical Department, Beaumont Hospital, Dublin 9, 10 Ireland, European Institute for Molecular Imaging (EIMI), Westfälische Wilhelms11 Universität (WWU) Münster, Germany, PARCC, INSERM U970, Université Paris 12 Descartes, Paris France, Department of Clinical Radiology, University Hospital Münster, 13 Germany, Department of Nuclear Medicine, Münster University Hospital, Münster, 14 Germany, Radiopharmaceutical Chemistry, German Cancer Research Centre (dkfz), 15 Heidelberg, Germany, Department of Epidemiology & Public Health, Royal College of 16 Surgeons, Dublin 2, Ireland, Interdisciplinary Centre of Clinical Research (IZKF), all at 17 the Westfälische Wilhelms-Universität (WWU) Münster, Germany, Department of 18
Hybrid approach: naive bayes and sentiment VADER for analyzing sentiment of mobile unboxing video comments

Revolution in social media has attracted the users towards video sharing sites like YouTube. It is the most popular social media site where people view, share and interact by commenting on the videos. There are various types of videos that are shared by the users like songs, movie trailers, news, entertainment etc. Nowadays the most trending videos is the unboxing videos and in particular unboxing of mobile phones which gets more views, likes/dislikes and comments. Analyzing the comments of the mobile unboxing videos provides the opinion of the viewers towards the mobile phone. Studying the sentiment expressed in these comments show if the mobile phone is getting positive or negative feedback. A Hybrid approach combining the lexicon approach Sentiment VADER and machine learning algorithm Naive Bayes is applied on the comments to predict the sentiment. Sentiment VADER has a good impact on the Naive Bayes classifier in predicting the sentiment of the comment. The classifier achieves an accuracy of 79.78% and F1 score of 83.72%.
Reviewing the Efficiency of Current Power-Saving Approaches Used Among Different Stages of an Android-Application Lifecycle

A common issue that is shared among android smartphones users was and still related to saving their batteries power and to avoid the need of using any recharging resources. A big number of researches were conducted in the general field of "Saving Energy in Android Smartphones". Another big number of researches were also conducted in the subfield of "Saving Energy in Android Smartphones at the Application Layer". Both fields did generate a good amount of proposed methodologies, models, frameworks and algorithms that were provided as market products or approaches. However, this review will focus only on the applications layer and the main role of this layer in saving the power of an android smartphone’s battery. A review of the relevant existing literature is provided herein specifically covering various energy-saving techniques and tools proposed by various authors for Android smartphones.
Enhancing Ontology by Integrating Facts from Unstructured Data and Mapping with Linguistic Knowledge

Ontology plays a crucial role in the growth of semantic web by providing a domainknowledge resource comprehensible to both humans as well as computers. Knowledge resources can be of two types-taxonomical knowledge supporting description logic in the form of ontology representing a particular domain and linguistic knowledge. An approach is presented in this paper for constructing a third type of knowledge resource(Hybrid) that accommodates variations in the structure as per RDF triple extracted from unstructured corpus and subsequently semantically associating ontological concepts with their linguistic counter-part. The purpose of this knowledge base is to add linguistic expressiveness to conceptual knowledge and to accommodate the dynamic nature of knowledge. Semantic similarity and term coverage are computed between terms(concepts). A case study i.e enhancing a dengue ontology by incorporating RDF triple extracted from patients’ case sheets and semantically associating concepts with WordNet by using similarity and relatedness measures is presented.
MULTIPLE SOLUTIONS OF NONLINEAR FRACTIONAL ELLIPTIC EQUATIONS VIA MORSE THEORY

This article concerns the existence and multiplicity of weak solutions of the nonlinear fractional elliptic problem. We extend some well known results of semilinear Laplacian equations to the nonlocal fractional setting. Using the variational methods based on the critical point theory, sub-supersolutions methods and Morse theory, we show that the problem has at least 6 nontrivial solutions.
Electronic Nasal Pod: A 3D Printed Device to Filter and Electrochemically Detect pollutants

The huge growth in sensors and advancement in the manufacturing process has led to in vitro recapitulation with adequate levels of functionality of human sensory organs, such as nose and ear. Such advancements have enabled us to realize various engineered sensory organs. For abatement of ambient pollutants, a huge improvement in terms of quality and ease use of masks is necessary. Even though several inexpensive and quality masks are beginning to become available, but making them more user-friendly and versatile remains a daunting task. This work describes a wearable device, Electronic Nasal Pod (ENP), which can not only prevent allergens and air pollutants but is amenable to sense them. Here, a 3D printed ENP has been fabricated by integrating suitable High-Efficiency Particulate Air (HEPA) filter for sieving pollutants at the first stage and three-electrodes for electrochemically sense oxygen using a potentiostat. The fabricated ENP showed excellent results using 3 μm HEPA filters after purging buffered oxygen for varying durations.
Annually-resolved coral skeletal dBa records: A new proxy for oceanic Ba cycling

Barium/calcium ratios in the skeletons of scleractinian shallow-water corals have been used as proxies for coastal and oceanic processes such as river discharge, oceanic upwelling and surface ocean productivity. However, the variations in Ba/Ca ratios in aragonitic coral skeletons remain difficult to interpret as an environmental proxy. This difficulty is mainly due to the influence of internal (biomineralization) and multiple external (environmental) processes on Ba incorporation into coral skeletons, and these processes are hard to constrain with Ba/Ca alone. Here we present the first annually-resolved records of the Ba isotopic compositions (dBa) in shallow-water corals (Porites) collected alive in the field, supplemented by the analysis of Ba/Ca ratios. Seven coral cores were recovered at different oceanic settings in the South China Sea, extending from the northern inner shelf to the central and southern deep basin. The annual dBa records of six corals fell within a narrow range from 0.24 ± 0.03‰ to 0.38 ± 0. 03‰ (2SD), with a mean value of 0.33 ± 0.08‰ (2SD, N = 21). One single inner-shelf coral revealed low dBa values (0.10 0.11 ± 0.03‰), which might reflect the influence of terrestrial water/sediment. In contrast, the coral Ba/Ca ratios showed a wide range of intercolony differences, from 2 to 14 lmol/mol. This variation is too large to be ascribed to the changes in the Ba concentrations of seawater or other environmental parameters. Rayleigh fractionation between corals and seawater during biomineralization was proposed to explain the anomalous variations in the Ba/ Ca ratios observed in coral skeletons. However, this result is incompatible with the relatively constant Ba isotopic compositions in coral. Instead, we suggest that the probable precipitation of witherite (BaCO3) within the domains of aragonite under oversaturated calcifying fluid could explain the large variability in the coral Ba/Ca ratios. The coral dBa records from diverse oceanic settings were largely unaffected by biomineralization processes and temperature and displayed a relatively constant negative offset from typical surface seawaters. Our results suggest that Ba isotopes in Porites could be a proxy for reconstructing the dBa of seawater and hence provide new insights into Ba cycling in the upper oceans in the past. 2018 Elsevier Ltd. All rights reserved.
Review of Agricultural and Rural Development System Models and Frameworks to Support Farming as a Business via Benchmarking: The Case of Tanzania

This paper presents a review of the current state of agricultural and rural development (ARD) system frameworks, focusing on their capabilities and limitations to support farming-as-a-business via benchmarking (FAABB). Presented and discussed include the state of system models in relation to five modelling views of the ARD systems, namely: (i) defining factors for agricultural echo systems, (ii) farm characterization and management practices, (iii) simulation systems for predictable farm data, (iv) limiting factors for agricultural optimization, and (v) performance estimation through benchmarking. Also, the paper proposes a new framework to support FAABB in Tanzania that is being tested through various use-cases in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) with a FAABB Cyber Studio hosted at the Nelson Mandela – African Institution of Science and Technology (NM-AIST) also in Tanzania. The FAABB setup at NM-AIST promises to address not only the agricultural knowledge codification problem, but also the need for cultural change among agricultural researchers to ensure that data for addressing a range of use-cases is available for future mobile application development. The proposed FAABB framework provides a useful starting point for addressing limitations of existing frameworks and considering a ubiquitous m-app development framework for targeted ARD research in developing countries.
Long-run Trend and dDeterminants ofTterms of Trade of Iran

This paper examines the trend and determinants of terms of trade of Iran. Using a Vector-Error Correction model (VECM), two models has been estimated for Iran’s economy. Terms of trade in model I is the net barter terms of trade; and in model II is the ratio of export to import unit values. Annual data of 1966-2012 and seasonal data of 1991-2011 have been used for respectively, model I and II. Four variables have been identified as main explanatory elements of variation in terms of trade over time; these variables are output, exchange rate, trade openness and oil prices. VEC model is used to capture the long-run interaction among variables. In first part of the article, the trend in terms of trade is evaluated to investigate whether there is a negative trend exists among TOT data as the Prebisch- Singer Hypothesis suggests there would be such a tendency in a commodity exporting country like Iran. Results show that there is not a significant decreasing trend in TOT data. VECM results show short-run causality from all variables to the terms of trade in. Also variables converged to their equilibrium levels. The correlation of the terms of trade is negative with exchange rate and positive with output, oil prices and trade openness in long-run.
Numerical simulation of greenhouse gases transport in a system « lake – atmospheric boundary layer »

Литература: 1. Golubeva E.N. , Platov G.A. On improving the simulation of Atlantic Water circulation in the Arctic Ocean // J.Geoph. Res. 2007. Vol. 112. C04S05 2. Голубева Е. Н. Численное моделирование динамики Атлантических вод в Арктическом бассейне с использованием схемы QUICKEST// Вычислительные технологии. 2008. Т. 13. No5. С. 11-24. 3. Платов Г. А. Численное моделирование формирования глубинных вод Северного Ледовитого океана. Часть II: Результаты региональных и глобальных расчетов// Известия РАН, Серия ФАО, 2011, т. 47, No 3, с. 409–425. 4. Gent, P. R. , J. Willebrand, T. McDougall, and J. McWilliams, 1995: Parameterizing eddy-induced tracer transports in ocean circulation models. J. Phys. Oceanogr. , 25, 463–474. 5. Rudels,B. , Jones,E.P.,Anderson,L.G. and Kattner,G. On the intermediate depth water of the Arctic Ocean// In: O.M. Johannessen, R.D. Muench and J.E. Overland (Editors), The Polar Oceans and their role in the shaping the global environment: The Nansen centennial volume. Geophysical Monograph 85. American Geophysical Union, Washington DC, USA, 1994. P.33-46. 6. Karcher, M. J., J. N. Smith, F. Kauker, R. Gerdes, and W. M. Smethie Jr: Recent changes of Arctic Ocean circulation revealed by 129 Iodine observations and modelling, J. Geophys. Res.: Oceans (19782012), 117.C8 , doi: 10.1029/2011JC007513.