Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Some Antinutritional Factors on the Bioavailability of Minerals along with the Study of Chemical Constituents & Antioxidant Property in Typhonium trilobatum & Spinacia oleracea

The bioavailability of nutrients like Fe and Ca in food materials are often minimized owing to the presence of certain antinutritional factors like oxalate, phytate etc. resulting severe deficiencies leading to anaemia, osteoporosis. Thus, the authors searched for cheap, easily available vegetables having less antinutritional components like oxalate, phytate to combat anaemia & osteoporosis amongst the vulnerable section of the society and studied Typhonium trilobatum (Tt), commonly known as Bengal arum/Ghatkanchu and Spinacia oleracea (So)(spinach) leafy vegetables having similar components and analysed the chemical constituents w.r. t. proximate constituents, minerals, vitamin C, phytochemicals, antinutritionals & antioxidant activity. Investigation revealed So leaves to be rich in minerals like Na, K and Ca but Fe in comparison to Tt leaves. As the Fe (58.40±0.50 mg%) and Vit C (108.08±1.70 mg%) contents of Tt are very higher than So (Fe:1.91±0.56 & Vit C:27.01±1.50 mg%) and the two antinutritional factors, oxalate (Tt:7.19±0.58 & So:658.07±0.45 mg%) and phytate (Tt:0.35±0.01 & So:B.D.L.μg%) contents are fairly lower, so it can be said that the former is a better bioavailable source of iron and calcium than spinach, as binding actions of oxalates & phytates are appreciably lesser. Study further depicted Tt leaves to be higher in crude fibre and protein; equivalent content of carbohydrates; lower contents of lipids and total ash in comparison with So leaves. The polyphenols, total hydrolysable tannins & flavonoids contents (21.19±0.07, 22.17±0.15 & 11.25±0.06 mg/gm) of Tt are comparable with So leaves (18.70±0.21, 20.45±0.33 & 14.81±0.12 mg/gm). Antioxidant activity of Tt leaves w.r. t. DPPH free radicals is higher than So (Tt:432.90±1.90 & So:455.13±2.05 μg/ml) and equivalent w.r. t. the ABTS radicals (Tt:155.31±0.90 & So:150.20±2.08 μg/ml).
Databases and ontologies RiboD : a comprehensive database for prokaryotic riboswitches

Summary: Riboswitches are cis-regulatory non-coding genomic segments that control the expression of downstream genes by undergoing conformational change upon ligand binding. We present a comprehensive database of prokaryotic riboswitches that allows the user to search for riboswitches using multiple criteria, extract information about riboswitch location and gene/operon it regulates. RiboD provides a very useful resource that can be utilized for the better understanding of riboswitch-based gene regulation in bacteria and archaea. Availability and implementation: RiboD can be freely accessed on the web at http://ribod.iiserkol. ac.in/. Contact: mukherjee.sumit89@gmail.com or supratim.sen@iiserkol.ac.in
TOWARD TO BUILD STRONG IMAGE INTEGRITY SCHEME IN CLOUD COMPUTING ENVIRONMENT

Cloud computing aims to assist users in remotely preserving their data in a cloud server and protect them from malicious attacks, such as an impersonation attack. In addition, cloud computing gives users the ability to store and process their data in an outsource cloud’s storage. With the rapidly increasing use of medical images with a growing level of detail due to advances in diagnostic medical images, cloud computing is used to store large amounts of medical images. Although the cloud has considerable potential, it has many security challenges, such as data integrity and unauthorised access of entities to cloud resources. This paper aims to solve the issue of ensuring the integrity of medical image data stored in cloud servers. Thus, we propose a robust scheme that uses cryptohash function and k-nearest neighbour (KNN) to obtain the metadata of images stored in the cloud, thereby protecting the medical images owned by users against any editing, deleting or inserting operations performed by an attacker. Our proposed scheme uses KNN to retrieve medical images to ensure their integrity and has robust security and high performance .
HIV infection induces age-related changes to monocytes and innate immune activation in young males which persist despite cART

Methods: Age-related changes to monocyte phenotype and function were measured in whole blood assays ex vivo on both CD14þþCD16 (CD14þ) and CD14variableCD16þ(CD16þ) subsets. Plasma markers relevant to innate immune activation were measured by ELISA. Results: Monocytes from young viremic HIVþ males resemble those from elderly controls and show increased expression of CD11b (p<0.0001 on CD14þ and CD16þsubsets), and decreased expression of CD62L and CD115 (p1⁄40.04 and 0.001 respectively on CD14þ monocytes) when compared to young uninfected controls. These changes were also present in young virologically suppressed HIVþ males. Innate immune activation markers neopterin, sCD163 and CXCL10 were elevated in both young viremic (p<0.0001 for all) and virologically suppressed (p1⁄40.0005, 0.003 and 0.002 respectively) HIVþ males with levels in suppressed individuals resembling those observed in elderly controls. Like the elderly, CD14þ monocytes from young HIVþ males exhibited impaired phagocytic function (p1⁄40.007) and telomere shortening (p1⁄40.03) as compared to young uninfected controls.
Chapter 2 Machine Learning Using K-Nearest Neighbor for Library Resources Classi fi cation in Agent-Based Library Recommender System

Agent-based library recommender system is proposed with the objective to provide effective and intelligent use of library resources such as finding right book(s), relevant research journal papers, and articles. It is composed of profile agent and library recommender agent. Library recommender agent performs the main task of filtering and providing recommendations. Library resources include book records having table of contents and journal articles including abstract and keywords. This provides availability of rich set of keywords to compute similarity. The library resources are classified into fourteen categories specified in ACM computing classification system 2012. The identified category provides a way to obtain semantically related keywords for the library resources. The results of k-Nearest Neighbor (k-NN) for library recommender system are encouraging as there is improvement in the existing results. Use of ACM CCS 2012 as ontology, semantic similarity computation, implicit auto update of user profiles, and variety of users in evaluation are the features of the complete recommender system which makes it useful and novel. This paper details classification of library resources performed by library recommender agent.
Is Open Always Better ?-A Taxonomy-based Analysis of Platform Ecosystems for Fitness Trackers

The wearable fitness technology sector is growing steadily as a result of the increasing miniaturization of sensors and the rapid rise of the mobile internet. In this context the use of fitness trackers promises the consumer the provision of personalized health services. This additional value cannot be achieved by a single company but is realized by a multitude of different actors that collectively create value within platform ecosystems. In order to understand their structure and properties and get a current market overview, a taxonomy to analyze wearable fitness technology platform ecosystems is developed following the methodology by Nickerson et al. [1]. The empirical-to-conceptual approach is conducted by applying the flagship fitness tracker of the ten highest rated manufacturers as a fundamental platform technology. Using the taxonomy four clusters could be identified that primarily distinguish the fitness tracker companies regarding their openness to consumers and developers.
Exopolysaccharide Production by Root Nodule Bacteria of Wild Lathyrus cassius Boiss. Yabani Lathyrus cassius Boiss. Kök Nodül Bakterileri Tarafından Ekzopolisakkarit Üretimi Çiğdem KÜÇÜK*

In this study, it was investigated that producing ability of extracellular polysaccharides (EPS) of the Rhizobium strains isolated from root nodules of wild Lathyrus cassius. The results provided that when isolates were grown in a chemically defined medium carbon and nitrogen sources itested in this study influced EPS synthesis. Maximum EPS production (1778 μg/ml and 1762.6 μg/ml, respectively) was obtained when the chemically defined medium was supplemented with mannitol and potassium nitrate, respectively which was accompanied a great increase in the production compared to the control. In all isolates, the maximum EPS production was 72 h, 150 rpm at mannitol and potassium nitrate containing medium.
Predicting Perceived Dissonance of Piano Chords Using a Chord-Class Invariant CNN and Deep Layered Learning

This paper presents a convolutional neural network (CNN) able to predict the perceived dissonance of piano chords. Ratings of dissonance for short audio excerpts were combined from two different datasets and groups of listeners. The CNN uses two branches in a directed acyclic graph (DAG). The ﬁrst branch receives input from a pitch estimation algorithm, restructured into a pitch chroma. The second branch analyses interactions between close partials, known to affect our perception of dissonance and roughness. The analysis is pitch invariant in both branches, facilitated by convolution across log-frequency and octave-wide max-pooling. Ensemble learning was used to improve the accuracy of the predictions. The coefﬁcient of determination ( R 2 ) between rating and predictions are close to 0.7 in a cross-validation test of the combined dataset. The system signiﬁcantly outperforms recent computational models. An ablation study tested the impact of the pitch chroma and partial analysis branches separately, concluding that the deep layered learning approach with a pitch chroma was driving the high performance.
The Mystery of Evaporation

Our job as hydrologists is to understand and predict the water cycle. Historically, prediction of river flow has been at the centre of our attention. This is not surprising: rivers form a crucial resource, shape our environment, cause natural hazards, and are “easy” to observe. In future, study of river flow will obviously remain important. However, in this blog post we argue that shifting focus towards another part of the hydrological cycle can provide significant opportunities. Inspired by the ‘meet the expert in hydrology – the mystery of evaporation’ session held at the 2015 EGU General Assembly in Vienna, we discuss the role of evaporation in hydrological research and how evaporation affects our ability to understand the water cycle (including river flow predictions! ). We do this by exploring (a simplified view on) what we know about evaporation, what key limitations exist in evaporation research, and what the implications are for how we currently do our science. To conclude we provide suggestions on how to better consider evaporation in hydrological research.
Current Perspectives on the Use of the Linear Non-Threshold ( LNT ) Model in Radiation Protection

The increasing use of radiation in medical imaging and radiation therapy has raised concerns about the biological effects of radiation exposure, such as the stochastic and deterministic effects. Various dose-response models have been developed to address these concerns. One such popular model is the linear non-threshold (LNT). The LNT model developed from studies of catastrophic events to humans including the Hiroshima and Nagasaki atomic bombs, demonstrates the stochastic risks of radiation exposure. Many organisations have adopted the LNT model to form the basis of their radiation protection standards. However, with increasing biological and epidemiological studies have raised doubts on the validity of the model especially at low levels of radiation (<100mSv), whereby no definitive effects have been demonstrated in humans. A review of literature was conducted using Ovid Medline and Scopus databases to evaluate the controversy surrounding the use of the LNT model and the current perspective of radiation protection organisations on its use. The literature debate consists of arguments against the data obtained from epidemiological studies as well as the consequence effects of the LNT model on the public. In response, alternative dose response models that contradict the accepted LNT model, especially at low doses, have been suggested. These include hormesis, hypersensitivity and threshold models. However, there remains a need for continued research on the effects of low doses radiation on specific organs and tissues to further quantify risk estimates. Further knowledge and understanding of these effects will allow for improved radiation protection for patients. Current Perspectives on the Use of the Linear Non-Threshold (LNT) Model in Radiation Protection Publication History: Received: November 02, 2017 Accepted: December 27, 2017 Published: December 29, 2017
A Chameleon hash-and-sign paradigm based dynamic group key agreement protocol

We proposed an efficient and provable secure dynamic authenticated group key agreement protocol with two communication round. The security is proven in random oracle model under decision bilinear Deffie-Hellman (DBDH) assumption. The protocol also provides desirable security attributes like forward security and resistant to key control attack. Additionally, Chameleon hash-and-sign paradigm is employed for authentication process which considerably decreases the computation cost. AMS subject classification: Primary: 94A60; Secondary: 94A62.
THE COMPUTATION DYNAMICS OF ELECTROMAGNETIC RADIATION IN 3 D DISPERSIVE METAMATERIALS

We numerically investigated the complex dynamics of the electromagnetic radiation generated by the charged particles crossing 3D dispersive nano metamaterials. In our theory only parameters of a medium are fixed, while the frequency spectrum of the internal excitations is left to be defined as a result of numerical calculations. Accurate numerical simulations (with the use of 3D Drude model) show that the periodic field structure coupled to plasmonic excitations is arisen when the dispersive refractive index of such a system becomes negative. In this case the reversed Cherenkov radiation can be observed. The specific resonant field interferences in the frequency range with the negative refractive index of a metamaterial is registered. The results of numerical simulations show that the frequency spectra (resonances) of the plasmonic excitations are formed due to the nonlinear fields interplay in the frequency domain. The application of photonic crystals and the parallel schemes for numerical simulations in such a coupled problem is also discussed.
Sifting out Erroneous Observations in COADS-The Trimming Problem

The Comprehensive Ocean-Atmosphere Data Set (COADS; Slutz et al., 1985; Woodruff 1987) is currently the most complete marine surface data set available. While a variety of fo is offered, monthlytrimmed 2°x2° summaries are the most widely used data. Trimming refers the process of eliminating statistical outliers from the data. Such outliers are currently de with respect to sextiles based on all observations within a calendar month and during the de within a trimming period (1950-79) for the presented results). For a given 2 °x2° square and calendar month, upper/lower standard deviations ( σu/σl) are defined as the difference between t 5th/1st sextile and the median (G) of all observations (Woodruff et al., 1987). Sextile were sli modified in order to yield standard σ for normal distributions. If an observation falls abov G+3.5*σu or below G-3.5*σl, it is removed from the trimmed product. Thus, even asymme observational distributions are screened in a seemingly robust manner. Note that interim 19 products have been trimmed using the 1950-79 limits.
Acceptance of Multicultural Society on the Hudud Bill Implementation in Malaysia

Recently, the Hudud Bill implementation in Kelantan has generated tension among the multicultural society in Malaysia. A countless number of populace has given different points of view regarding on this matter. The Islamic law issue has continued to create a major gap between the ruling and opposition parties as they struggle to accept the Hudud Bill practice in Malaysia which was proposed by the Pan-Malaysian Islamic Party. Indeed, Malaysia is a developing Islamic country and mostly inhabited by the Malay race. However, the issue has also flourished among the Journal of Media and Information Warfare Vol. 9, 63-100, June 2017
Computational Argumentation Synthesis as a Language Modeling Task

Synthesis approaches in computational argumentation so far are restricted to generating claim-like argument units or short summaries of debates. Ultimately, however, we expect computers to generate whole new arguments for a given stance towards some topic, backing up claims following argumentative and rhetorical considerations. In this paper, we approach such an argumentation synthesis as a language modeling task. In our language model, argumentative discourse units are the “words”, and arguments represent the “sentences”. Given a pool of units for any unseen topic-stance pair, the model selects a set of unit types according to a basic rhetorical strategy (logos vs. pathos), arranges the structure of the types based on the units’ argumentative roles, and finally “phrases” an argument by instantiating the structure with semantically coherent units from the pool. Our evaluation suggests that the model can, to some extent, mimic the human synthesis of strategy-specific arguments.
FACULTY MEMBERS' VIEWPOINTS TOWARDS TEACHER EVALUATION PROCESS IN ISFAHAN UNIVERSITY OF MEDICAL SCIENCE

Introduction: There are limited studies regarding teacher evaluation process. The goal of this study was to determine faculty members’ viewpoints regarding teacher evaluation process and its relationship with their characteristics in Isfahan University of Medical Sciences. Methods: In a descriptive study, 185 faculty members were selected by stratified random sampling method. The data collection tool was a valid and reliable questionnaire which asked faculty members’ demographic characteristics and their viewpoints about evaluation process using a 5 point Likert scale. The data was analyzed by SPSS software using t-test, ANOVA and Pearson Correlation Coefficient. Results: The mean and standard deviation of the given scores to evaluation process were 2.6±. 45 out of the total score 5. The most positive view was about performing the evaluation at least once a year, and the most negative view was about not paying attention to the nature of the courses and also to other activities of faculty members during the evaluation process. Faculty members had a negative view towards the content of evaluation forms and the evaluation process. The viewpoints of faculty members had a significant relation-ship with the number of course units, work experience, satisfaction from evaluation and fairness of evalua-tion. Conclusion: Faculty members were not so satisfied from evaluation forms and evaluation process. Preparing valid and reliable tools which includes all educational fields and apply to different levels of students, close supervision on evaluation process and using peer evaluation method are suggested.
Can EU-WFD be Applied to Former Lignite Mining Districts ? A Case Study for the Lausitz Mining District ( Germany )

For all dumps of closed mining sites within the Lausitz mining district geochemical inventory was determined, considering pyrite oxidation and sulphate reduction. Based on existing groundwater flow models and geochemical inventories, the dissolved mass discharge is calculated using PHT3D. Contaminated area and amount of dissolved sulphate in groundwater is predicted to increase at least until 2025. Therefore good groundwater quality conditions and even trend reversal cannot be expected within the time frame of the EUWater Framework Directive (EU-WFD). Measures that might significantly improve conditions for the whole region are not at hand. Therefore it might be necessary to define less stringent environmental objectives in terms of the legal framework of the EU-WFD.
costs and hospital days when using oral arsenic plus TRA as the first-line treatment of acute promyelocytic leukemia

We have demonstrated that oral arsenic (Realgar-Indigo naturalis formula, RIF) plus all-trans retinoic acid (ATRA) is not inferior to intravenous arsenic trioxide (ATO) plus ATRA as the first-line treatment of acute promyelocytic leukemia (APL). To compare the cost-effectiveness of oral and intravenous arsenic, we analyzed the results of 30 patients in each group involved in a randomized controlled trial at our center. The median total medical costs were $13,183.49 in the RIF group compared with $24136.98 in the ATO group (p < 0.0001). This difference primarily resulted from the different costs of induction therapy (p = 0.016) and maintenance treatment (p < 0.0001). The length of hospitalization for the RIF group was significantly lower than that for the ATO group (24 vs. 31 days, p < 0.0001) during induction rsenic etinoic acid therapy. During maintenance treatment, the estimated medical costs were $2047.14 for each patient in the RIF group treated at home compared with $11273.81 for each patient in the ATO group treated in an outpatient setting (p < 0.0001). We conclude that oral RIF plus ATRA significantly reduced the medical costs and length of hospital stay during induction and remission therapy compared with ATO plus ATRA in APL patients. © 2015 Elsevier Ltd. All rights reserved.
SONIFICATION OF SIMULATED BLACK HOLE MERGER DATA

The field of Sonification is a subset of auditory display which human beings interface with wherein data are converted to audible signals. Sonification seeks to translate relationships in data into sounds that exploit the auditory perceptual abilities of human listeners such that the data relationships are intelligible. In 2015, the Laser Interferometer Gravitational-Wave Observatory (LIGO) recorded gravitational waves observed from a black hole merger for the first time. In this project we utilize Black Hole merger simulation data from the Center for Computational Research and Gravitation (CCRG) to create novel sonifications that accompany visualizations based upon that same data. Through experimentation, we found that convolving a random Gaussian sine wave buffer frequency modulated by object velocity with the Head-Related Transfer-Function of the appropriate azimuth, multiplied by the inverse square of the object’s radius provided the best results. This methodology holds promise for sonification of interstellar phenomena in the domain of public outreach and can further aid discovery in astronomical data.
Extraction of Digital Cardiotocographic Signals from Digital Cardiotocographic Images: Robustness of eCTG Procedure

A recently developed software application, eCTG, extracts cardiotocographic (CTG) signals from digital CTG images, possibly obtained by scanning paper CTG reports. The aim of this study was to evaluate eCTG robustness across varying image formats, resolution and screw. Using 552 digital CTG signals from the “CTU-UHB Intrapartum Cardiotocography Database” of Physionet, seven sets of digital CTG images were created, differing in format (.TIFF, .PNG and .JPEG), resolution (96 dpi, 300 dpi and 600 dpi) and screw (0.0°, 0.5°, and 1.0°). All created images were submitted to eCTG for CTG signals extraction. Quality of extracted signals was statistically evaluated based 1) on signal morphology, by computation of the correlation coefficient (ρ) and of the mean signal error percent (MSE%), and 2) on signal clinical content, by assessment of 18 standard CTG variables. For all sets of images, ρ was high (ρ ≥ 0.81) and MSE% was small (MSE% ≤ 2%). However, significant changes occurred in median values of four, four and five standard CTG variables in image sets with 96 dpi resolution, 0.5° screw and 1.0° screw, respectively. In conclusion, for an optimal eCTG performance, digital images should be saved in lossless formats, have a resolution of at least 300 dpi and not be affected by screw.