Miracle-dz/UniFAR-FTUs huggingface dataset:
Fermentation of Sugarcane Molasses Using Zymomonas Mobilis for Enhanced Bioethanol Production

Article history: Received 9 February 2018 Received in revised form 15 March 2018 Accepted 4 April 2018 Available online 11 April 2018 Bioethanol is one of the leading alternative biofuel to fossil fuels and can be use in existing gasoline engines without any major modification. Bioethanol can be produced from sugar containing biomass fermentation using different potential strains. In this study, the gram negative, facultative anaerobic, rod shaped strain ‘Zymomonas mobilis’ was used as microorganism to produce bioethanol from sugar cane molasses using anaerobic fermentation. The study was conducted to investigate the optimized conditions for production of bioethanol through batch fermentation process. The fermentation unit was designed to determine the effect of process parameters such as fermentation temperature, pH, sugar concentration and supply of nutrients. The Zymomonas mobilis produced 9.3% (v/v) bioethanol by utilizing 16 g/100mL sugar with the fermentation efficiency 92.5%. The fertilized based nutrients were supplied to enhance the production of bioethanol yield. The bioethanol yield produced by using this strain in optimized conditions is in good compromise with previous study and also compared with commercially available yeast strain.
Evaluation Report on the ESIGN signature scheme

This document is an evaluation of the ESIGN signature scheme. Our work is based on the analysis of various documents [12, 13, 14, 23], which provide the specification of the scheme, as well as on various research papers related to the scheme. Among these research papers are the original work [24, 22], proposing the design and the subsequent cryptanalytic work [28, 16] of Vallée and al. The present report is organized as follows: firstly, we review the ESIGN primitive, and we discuss its relation to the so-called approximate e-th root problem (AERP). Next, we recall the strongest security notion that is now mandatory for signature schemes: security against existential forgery under adaptive chosen-message attacks. This allows us to provide a proof of the security of ESIGN against a slight variant of adaptive chosen-message attacks, in the random oracle model. This proof is based on the assumption that AERP is intractable. We then analyze the security of the proposed ESIGN signature in view of the previous proofs. In particular, we discuss whether one can derive practical implications, notably in terms of key sizes. This is as requested by IPA.
Reconfiguration of Clustered NoSQL Databases for Time-Varying Workload

Reconfiguring NoSQL databases under changing workload patterns is crucial for maximizing database throughput. This is challenging because of the large configuration parameter search space with complex interdependencies among the parameters. While state-of-the-art systems can automatically identify close-to-optimal configurations for static workloads, they suffer for dynamic workloads as they overlook three fundamental challenges: (1) Estimating performance degradation during the reconfiguration process (such as due to database restart). (2) Predicting how transient the new workload pattern will be. (3) Respecting the application’s availability requirements during reconfiguration. Our solution, SOPHIA, addresses all these shortcomings using an optimization technique that combines workload prediction with a cost-benefit analyzer. SOPHIA computes the relative cost and benefit of each reconfiguration step, and determines an optimal reconfiguration for a future time window. This plan specifies when to change configurations and to what, to achieve the best performance without degrading data availability. We demonstrate its effectiveness for three different workloads: a multi-tenant, global-scale metagenomics repository (MG-RAST), a bus-tracking application (Tiramisu), and an HPC data-analytics system, all with varying levels of workload complexity and demonstrating dynamic workload changes. We compare SOPHIA’s performance in throughput and tail-latency over various baselines for two popular NoSQL databases, Cassandra and Redis.
1 Decomposition of Average Propagation Length

s Dietzenbacher proposed the concept of Average Propagation Length (APL) (Dietzenbacher et al (2005) and Dietzenbacher et al (2007)). APL has been used as length of production process or length of supply chain. On the other hand, international division of labor in the production process is getting focused in face to globalization. The phenomenon of increasing cross-border transaction of intermediate inputs is called the fragmentation of production process. APL is used as index of fragmentation of production process (Romero et al (2009), Escaith et al (2013)). However, APL includes both propagation in domestic transaction and that in cross-border transaction. To capture fragmentation, two propagations should be separated. In this paper, new concept of cross-border APL (APLxB) and the method of APL decomposition in general are proposed. Finally, we show increase of APLxB.
CASENET : ONE YEAR LATER Computer Aided solutions to SEcure electroNic commercE Transactions

This paper presents CASENET, a Fifth European Framework research project whose objectives are to develop and implement a tool-supported framework for the systematic specification, design and analysis of ecommerce and e-government transactions to produce protocols with proven security properties, and to assist in code generation for these protocols. The methodologies and tools developed by the project will enable the designer of an e-commerce or e-government application to generate a formal protocol specification with the desired security properties and be usable for the security analysis of protocols. After successful analysis, the methodologies and tools will assist in transforming the formal protocol specification into final code, provide test cases for testing the code with respect to the initial requirements and services for real-time auditing in order to check that the participants of a protocol act according to the description.
Supplementary material to “ Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges ” 1

Two vertices Xi and Xj are adjacent if there is an edge between them. A path between Xi and Xj is a sequence (Xi, . . . , Xj) of distinct vertices in which all pairs of successive vertices are adjacent. A directed path is a path between Xi and Xj where all edges are directed towards Xj , i.e., Xi → · · · → Xj . A directed path from Xi to Xj together with the edge Xj → Xi forms a directed cycle. If Xi → Xj ← Xk is part of a path, then Xj is a collider on this path.
Process Modif icat ions to Improve HAZ Toughness in High Deposit ion Arc Welds

Wi th the purpose of improving heat-affected zone toughness, several modifications of highdeposition submerged-arc welding procedures were examined to determine techniques of depositing equivalent amounts of filler metal at faster cooling rates. The fo l lowing modifications produced the desired results: multiple-head submerged-arc welding (SAW), long-stickout SAW, smalldiameter twin-electrode SAW, SAW using cored electrodes and a process util izing a gas metal-arc welding (GMAW) head and a SAW head spaced 12 in. (305 mm) apart.
Combining Optimization and Data Science : A Metaheuristic Development Framework

Metaheuristic algorithms come in all shapes and sizes, and are (successfully) applied to a multitude of optimization problems. In their development process, the focus should be on designing new (types of) operators, rather than proposing “novel” frameworks. Unfortunately, it is often difficult to determine exactly where the added value of a metaheuristic comes from, due to vague descriptions and a lack of proper component analysis. This makes it difficult to improve our understanding and gain insights into the performance of metaheuristic operators. In this paper, we propose a metaheuristic development framework, which aims to combine optimization and data science. The framework suggests meaningful guidelines regarding component development, data generation, algorithm configuration and evaluation & comparison. To demonstrate the framework’s added value, we apply parts of it to an existing problem from project scheduling literature.
Goldsmiths University of London Accelerometer-Based Gesture Recognition with the iPhone

The growing number of small sensors built into consumer electronic devices, such as mobile phones, allow experiments with alternative interaction methods in favour of more physical, intuitive and pervasive human computer interaction. This paper examines hand gestures as an alternative or supplementary input modality for mobile devices. The iPhone is chosen as sensing and processing device. Based on its built-in accelerometer, hand movements are detected and classified into previously trained gestures. A software library for accelerometer-based gesture recognition and a demonstration iPhone application have been developed. The system allows the training and recognition of free-from hand gestures. Discrete hidden Markov models form the core part of the gesture recognition apparatus. Five test gestures have been defined and used to evaluate the performance of the application. The evaluation shows that with 10 training repetitions, an average recognition rate of over 90 percent can be achieved.
A molecular dynamics investigation of the kinetic bottlenecks of the hPin 1 WW domain . I : simulations with the Sorenson / Head-Gordon model

The availability of a large amount of experimental data makes the Pin1 WW domain an ideal benchmark to test computational methods. The purpose of the present work is to identify the kinetic bottlenecks of the folding/unfolding pathway through Molecular Dynamics simulations. In this paper, the first of the series, we use the Sorenson/Head-Gordon model, based on the hydrophobicity properties of the chain residues. The unfolding simulation shows a highly cooperative mechanism that correctly identifies the contacts of loop I as the kinetic bottlenecks, in agreement with the Φ-value analysis performed by Gruebele et al. The folding simulation, on the other hand, proves to be able to capture the essential topological features of the native fold even if the Kabsch distance from the PDB structure is still rather high. In the second paper of the series we report on simulations within the frame of the Go model, and the performances of the two models are compared and discussed. Key-Words: WW domains, Pin1 protein, kinetic bottlenecks, Go model, Sorenson/Head-Gordon model, Molecular Dynamics
A New Compressed Sensing Algorithm Design Based on Wavelet Frame and Dictionary

Compressed sensing has been paid a lot of attention for its contribution for image restoration, image reconstruction and image representation. Two most common research orientations are the basic theory research and the application research respec- tively. A novel design for compressed sensing frame based on the wavelet frame and dictionary is proposed in this paper. It belongs to the basic theory research and the good performance in the experiments show its efficiency.
Influence of Physiological Response and Monotonous Work by Body Sensory Vibration Stimulus

The objective of this study is to monitor the changes in physiological index. We measured the Alpha Attenuation Coefficient (AAC), High Frequency Component (HF) and oxygenated hemoglobin (oxyHb) as objective parameters and RAS (Roken Arousal Scale) as subjective parameters of experimental participants while performing simple tasks related to motor skills, which is necessary for a safe driving. The oxyHb signal was monitored from the frontal association and somatosensory areas using near infrared spectroscopy (fNIRS). NIRS can measure changes in brain hemodynamics during tasks noninvasively and unconstrained. Experimental results showed the value of oxyHb and AAC increased. On the other hand, HF and tracking error decreased when experimental participants were exposed to body sensory vibration. From these findings, we suggested that body sensory vibration stimuli were valid for monotonous work for a relatively. In conclusion, we could show the usability of body sensory vibration stimuli for monotonous work such as UniMove and it influence autonomic and central nervous system.
A data-mining approach to the Parkour discipline Un approccio data-mining alla disciplina del Parkour

Parkour is a relatively new discipline. As an uncommon nexus between risk, resistance, and the philosophy of overcoming obstacles, it is continuously gaining interest and popularity. However, the “voice” of parkour practitioners has been explored only qualitatively, on small samples and from a phenomenological point of view. In this work, raw data from the official American Parkour forum (from 2005 to 2013) have been web-scraped and treated with the Meaning Extraction Method (MEM), a simple and flexible technique providing optimal dimension reduction and the identification of broader themes related to the parkour discipline, thus providing a broader vision of a phenomena which is configuring itself as a true life-style. Abstract Il parkour è uno sport piuttosto recente: come nesso tra rischio, resistenza e filosofia degli “ostacoli da superare”, è diventata una disciplina sempre più interessante e popolare. Tuttavia, la voce dei praticanti è stata esplorata solo in una ricerca qualitativa, effettuata su un piccolo campione, e solo da un punto di vista fenomenologico. In questo lavoro, per la prima volta, sono stati estratti dati provenienti dall’intero forum American Parkour (dal 2005 al 2013) e sono stati trattati con il Meaning Extraction Method (MEM), una tecnica semplice e flessibile che permette di ridurre la dimensionalità dei dati e di identificare i temi più ampi e caratteristici del parkour, una disciplina che si configura sempre più come uno stile
Influence of the variability of the elastics properties on plastic zone and fatigue crack growth

Several theoretical models have been proposed to predict the fatigue crack growth range (FCGR) process using solid mechanics, based theoretical tools and basic or fundamental mechanical properties. Moreover crack growth is linked to the existence of a plastic zone at the crack tip when the formation and intensification are accompanied by dissipation of energy. The overall objective of the present research is to develop, verify, and extend the computational efficiency of the model for fatigue crack growth range (FCGR) function by elastic properties, cyclic hardening and celebrated Paris law. The influence of the variability to elastic properties (Young’s modulus E, tensile strength σe and cyclic hardening exponent n’) is a necessary analysis in this work. The predictions of the proposed model were compared with experimental data obtained by [1].
EFFECT OF INLET AND OUTLET POSITION IN A VENTILATED CAVITY WITH A HEAT GENERATING SQUARE BLOCK

The objective of the present work is to study the performance of different inlet and outlet locations on the flow and heat transfer for the MHD mixed convection problem in a ventilated cavity containing a heat generating square block. The mathematical model of the problem is governed by the couple equations of mass, momentum and energy. A Galerkin weighted residual based finite element method is applied to obtain the numerical solutions of the governing equations. The effects of four different inlet and outlet configurations BB, BT, TB and TT with Re = 100, Pr = 0.71(air), Ha = 10 are investigated for three convective regimes of Richardson numbers, (Ri = 0.1, 1, 10). Obtained results are reported in the form of streamlines, isotherms, heat transfer rates in terms of the average Nusselt number, average fluid temperature in the cavity for each configuration. It is observed that both flow and thermal fields are strongly influenced by the position of inlet and outlet openings of the cavity.
INFLUENCE OF THE LOADING FREQUENCY ON THE FATIGUE PERFORMANCE OF SUBMERGED SMALL ‐ SCALE GROUTED

Germany’s offshore wind farms are mostly located in water depth of 30 m and deeper. Lattice substructures which can be installed in such water depths are connected to the foundation piles via grouted joints. For these submerged hybrid connections only few test results are available, dealing with the influence of the surrounding water on the connection’s fatigue performance. This paper presents results from tests focusing on the influence of the loading frequency on the fatigue performance of submerged small-scale grouted joints. A distinct proportionality between the number of endurable load cycles and the loading frequency is visible in the test results. From the results a frequency dependent correction factor for the number of endurable load cycles is developed. Moreover, this correction factor is implemented in a fatigue curve derived for small-scale grouted joints in wet ambient conditions.
Fiscal policy volatility and capital misallocation: Evidence from China

Can a demand-side macroeconomic shock be a driver of capital misallocation in China? Using cross-province data, we find a positive effect of fiscal policy volatility on the dispersion of risk-adjusted marginal revenue product of capital (MRPK), and the changes of fiscal policy volatility account for 8.9% to 27.4% of the observed reduction in capital misallocation during 1998-2007. Factors relating to capital adjustment costs, financial frictions and policy distortions are found to play an important role in shaping the nexus between fiscal policy volatility and the static measure of capital misallocation, as reflected by the vast heterogeneity among provinces and industries. The impact of fiscal policy volatility on capital misallocation can transmit to the dispersion of marginal revenue products of other factor inputs. JEL Classification: D24, E62, O23, O47
TIME-DEPENDENT UTILITY DECISION MAKING USING THE TIMDP MODEL

Time-dependent Markov Decision Process (TiMDP) is a recently and important development made for time-dependent sequential decision making. This model consists of stochastic state transitions and stochastic time-dependent action durations. However, time-dependent utility theory can be used in TiMDP to model the rewards over time. This paper presents the modeling of the rewards as time-dependent utility, solves a TiMDP basic example step by step by a proper approximation, and finally shows and solves a more complex example using normal distribution for representation of action duration. Keywords— Decision Making Theory, Utility Theory, MDP, Planning, Time-dependency.
A macrocellular radio channel model for smart antenna tracking algorithms

In order to evaluate the performance of third generation wideband mobile communication systems, radio channel models capable of handling non-stationary scenarios with dynamic evolution of multipaths are required, since stationary models with fixed number of paths and delay information will produce over-optimistic results. In this context and due to the introduction of advanced antenna systems to exploit the spatial domain, a further expansion is needed in order to also include the non-stationary spatial characteristics of the channel. In an attempt to solve these problems, this paper present a new stochastic spatio-temporal propagation model. The model is a combination of the geometrically based single reflection (GBSR) and the Gaussian wide sense stationary uncorrelated scattering (GWSSUS) models, and is further enhanced in order to be able to handle nonstationary scenarios. The probability density functions of the number of multipath components, the scatterers' lifetime and the angle of arrival are calculated for this reason.
An Efficient Approach to Detect Faulty Readings Using Fuzzy Logic and Read Vector Along The Substrate Access Wireless Long-Thin Sensor Networks

Wireless sensor networks (WSN)s consist of hundreds or thousands tiny nodes that work together and connected to each other to do some special tasks. Detecting nodes with faulty readings is one the important issues in WSNs. The existing algorithms to detect faulty readings using weighted voting and are divided in tow category; existing algorithms that using correlation of two nodes read vectors as weight and algorithms that using inverse of distance as weight. The first category algorisms are costly and second category algorithms have weaknesses in accuracy of calculations. This paper proposes a new fuzzy-based algorithm to detecting faulty readings in WSNs. We propose the new method based on LTN however, it is applied in the most of WSN structure. Using an effective fuzzy inference system can improve the decision-making algorithm, which using for detecting faulty readings in WSNs. We use of entire read vector without any additional cost to the network. The experimental results show that the proposed algorithm imposes very low cost to the network; in addition, the accuracy of the results is improved when compared to the other algorithms
Effect of Duration of Diabetes on Heart Rate Variability in Type 2 Diabetes Mellitus

Introduction: Diabetes is a metabolic disorder with debilitating complications which affects several million people worldwide. Cardiac Autonomic Neuropathy (CAN) is the most common chronic complication of type 2 diabetes mellitus (T2DM), which is concealed for long period of disease. Heart rate variability (HRV) test is the simple and sensitive test for CAN. Diagnosing CAN at subclinical stage and knowing the correlation of HRV with duration of diabetes can help to prevent the morbidity and mortality because of this neuropathy. Objective: This study aims to determine the correlation of HRV with duration of diabetes in type 2 diabetes mellitus. Materials and Methods: This cross sectional study was conducted in Department of Physiology, in collaboration with Rajeev Gandhi Centre for Diabetes and Endocrinology on patients of T2DM attending Diabetes clinic in Jawaharlal Nehru Medical college hospital (JNMCH), AMU, Aligarh, from 2014 to 2016 after approval from the ethical committee of J. N. Medical College. Total 90 subjects were taken, among whom 60 subjects were diagnosed cases of T2DM, which were divided in two groups on the basis of duration of diabetes. Rest 30 subjects were non diabetic control group. For CAN heart rate variability test was done. Statistical analysis was performed using SPSS version 21.0. Results: In shorter duration Diabetes (3.31 ± 1.72 years T2DM), significant (p value<0.05) negative correlation was seen between duration of diabetes and pNN50, RMSSD, HF power and LF/HF ratio, while in longer duration of Diabetes (12 ± 4.42 years T2DM), there was significant (p value<0.05) negative correlation between duration of diabetes and all four HRV parameters, namely, pNN50, RMSSD, HF power, LF power, LF/HF ratio. Conclusion: Chronic hyperglycemia in diabetes leads to the degeneration and damage of autonomic nerves.