Miracle-dz/UniFAR-FTUs huggingface dataset:
Molecular insights into the axon guidance molecules Sidestep and Beaten path

The transmembrane protein Sidestep (Side) functions as a substrate-bound attractant for motor axons in Drosophila. Outgrowing motor axons recognize Side via Beaten path Ia (Beat) and migrate along Side-expressing tissues. Here, we report a structure-function analysis of these guidance molecules using a variety of mutant lines and transgenic constructs. Investigation of Side mutants shows that the exchange of a single amino acid (L241H) in the second immunoglobulin domain disturbs Side function and subcellular localization. Overexpression of Side and Beat deletion constructs in S2 cells and muscles demonstrate that the first Ig domains of both proteins are necessary for their interaction. Furthermore, subcellular distributions of several Beat constructs identify functional domains and suggest a potential posttranslational processing step in ER compartments. In fact, fusing full-length Beat at both the N- and C-terminus with GFP and mCherry, respectively, shows that the N-terminal domain is transported to the plasma membrane and exposed on the cell surface, while the C-terminal domain accumulated in the nucleus. Taken together, these results give insights into the interaction of Side and Beat and imply that Beat might be subject to proteolytic cleavage during maturation.
Learning Audio-Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

This work addresses the problem of matching musical audio directly to sheet music, without any higher-level abstract representation. We propose a method that learns joint embedding spaces for short excerpts of audio and their respective counterparts in sheet music images, using multimodal convolutional neural networks. Given the learned representations, we show how to utilize them for two sheet-music-related tasks: (1) piece/score identification from audio queries and (2) retrieving relevant performances given a score as a search query. All retrieval models are trained and evaluated on a new, large scale multimodal audio–sheet music dataset which is made publicly available along with this article. The dataset comprises 479 precisely annotated solo piano pieces by 53 composers, for a total of 1,129 pages of music and about 15 hours of aligned audio, which was synthesized from these scores. Going beyond this synthetic training data, we carry out first retrieval experiments using scans of real sheet music of high complexity (e.g., nearly the complete solo piano works by Frederic Chopin) and commercial recordings by famous concert pianists. Our results suggest that the proposed method, in combination with the large-scale dataset, yields retrieval models that successfully generalize to data way beyond the synthetic training data used for model building.
A Big Data Platform for Enhancing Life Imaging Activities

The field of life imaging spans a large spectrum of scientific study from mathematics and computer science to medical, passing by physics, biology, etc. The challenge of IDV project is to enrich a multi-parametrized, quantitative, qualitative, integrative, and correlative life imaging in health. It deals with linking the current research developments and applications of life imaging in medicine and biology to develop computational models and methods for imaging and quantitative image analysis and validate the added diagnostic and therapeutic value of new imaging methods and biomarkers.
Interaction of haemin with albumin-based macroporous cryogel: Adsorption isotherm and fluorescence quenching studies

Albumin-based cryogels for capturing haemin were synthesised by crosslinking different biomolecules, bovine serum albumin (BSA) and ovalbumin (OVA). The impact of the protein and coupling agent concentrations on cryogel’s mechanical properties, swelling ratios and polymerisation yields, as well as autoclaving as a post-treatment on the cryogel, were studied. We found that BSA (50 mg/ml) and the crosslinker (N-(3-dimethylaminopropyl)-N′-ethylcarbodiimide hydrochloride, 46 mg/ml) formed a cryogel with optimum physical characteristics at a comparatively low protein concentration. The cryogel’s mechanical stability was increased using a double-layer cryogel approach by crosslinking the BSA proteins at subzero temperature inside an acrylamide and hydroxyethyl methacrylate premade cryogels. Batch binding and kinetic adsorption isotherms of haemin on the cryogels were assessed to evaluate their binding capacity toward the porphyrin molecule. The results showed that single-layer cryogels (BSA and OVA) had a higher capacity (∼0.68 mg/ml gel) and higher reaction rate constant towards haemin adsorption than double-layer gels. In contrast, the double-layer cryogels had higher mechanical strength than single-layer gels. The experimental results suggested that the cryogels followed the Freundlich model and the pseudo-second-order isotherm for batch adsorption and kinetics, respectively. The interaction between haemin and the gels was studied by fluorescence quenching. We found between 1.1 and 1.6 binding sites for different cryogels.
PSO-ANFIS and ANN Modeling of Propane/Propylene Separation using Cu-BTC Adsorbent

In this work, an artificial neural network (ANN) model along with a combination of adaptive neuro-fuzzy inference system (ANFIS) and particle swarm optimization (PSO) i.e. (PSO-ANFIS) are proposed for modeling and prediction of the propylene/propane adsorption under various conditions. Using these computational intelligence (CI) approaches, the input parameters such as adsorbent shape (SA), temperature (T), and pressure (P) were related to the output parameter which is propylene or propane adsorption. A thorough comparison between the experimental, artificial neural network and particle swarm optimization-adaptive neuro-fuzzy inference system models was carried out to prove its efficiency in accurate prediction and computation time. The obtained results show that both investigated methods have good agreements in comparison with the experimental data, but the proposed artificial neural network structure is more precise than our proposed PSO-ANFIS structure. Mean absolute error (MAE) for ANN and ANFIS models were 0.111 and 0.421, respectively.
Tailored Gold Nanoparticles for Cancer Imaging and Therapy

In recent years, nanomedicine focused on the development of functional AuNPs for biomedical imaging, attributed to the intriguing optical properties of these nanoparticles, which are discussed in this review. Moreover, are presented the most important in vivo diagnostic techniques which have benefited from the development of engineered AuNPs, such as computed tomography and photothermal/photoacoustic imaging. Another important advantage related to these nanoparticles refers to their excellent performance in recent in vivo studies and clinical trials. Also, side effects of conventional drugs have been minimized by conjugation of AuNPs.
Practical Approach Design Piezoresistive Pressure Sensor in Circular Diaphragm

This paper presents a methodology for analytical calculation and computational simulation using the finite element method for piezoresistive graphite sensor element on flexible polymer substrate, A4 paper. The computer simulation aims to find the region of greatest mechanical tension and deflection of the circular diaphragm set in the circumference edges. The steps for simulation are geometry definition, mesh generation, inclusion of material physical properties and simulation execution. The mathematical modeling of maximum mechanical stress and deflection is described analytically and computationally. The analytical calculations were compared with the computer simulation and presented a relative percentage error of 3.38% for the maximum deflection. The results show that the piezoresistor should be positioned at the edges of the circular diaphragm to take advantage of maximum mechanical stress by defining the best location for graphite film deposition for sensor device designs and fabrications.
Optimisation of hybrid tandem metal active gas welding using Gaussian process regression

In this paper, an additional filler wire with opposite polarity was inserted in tandem flux cored arc welding process to increase the welding speed and deposition rate. In this hybrid welding, the optimisation of welding parameters is required to improve the bead geometry which directly indicates the welding quality. However, the correlation between the parameters and the bead geometry is hard to identify, so the process parameters are usually selected intuitively by the experienced engineers. Therefore, welding process modelling is constructed with the Gaussian process regression model, and parameter optimisation is performed with sequential quadratic programming optimisation algorithm. The proposed modelling optimisation process is verified by performing the welding experiment using the parameters that are optimised by the proposed process.
The Extract Transform Load (ETL) Process and Optimization using Ab Initio

: Data is everything! In the technological world, this statement holds true. Technology all over the world produces a huge amount of data every day every minute every second. What do we do with this data? This data is used to produce more data that can help businesses all over the world to innovate more and grow. In this process, an ETL tool is used to extract the data from different RDBMS systems and then that data is transformed by applying some calculations etc, and then load the transformed data into the Data Warehouse. The purpose of this study is to present the structure of ETL process in a structured manner along with optimization of ETL in details. We will be covering how the process of Extraction of data from various sources, transform that data by performing various calculations on it, and loading/storing the data into warehouse for further use takes place and how various tools helped to optimize the ETL process. It is the base of every data warehouse systems, data mining and business intelligence.
Degradation of 17α-Etinylestradiol by Nano-sized Zero Valent Iron

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RESEARCH ON SOLAR SINTERING FOR ELECTRICAL CONTACTS

Solar sintering is a promising method based on clean energy that could be used for obtaining electrical contacts. As shown in this paper, in terms of thermal stability, it is better than other modern sintering technologies like microwave and spark plasma sintering that have applications in the electrical field. This paper analyzes the possibility to sinter the copper alloy in order to improve its properties without decreasing the electrical conductivity of the copper material. The compacted pellets of Cu-TiC-graphite were sintered in a solar furnace by heating and maintaining the pellets at a precise temperature in a controlled environment (Argon) at temperatures around 700-850°C for a maintain time of 20-30 minutes. This configuration was performed by using the MSSF Solar Furnace of the PROMES-CNRS facility in France. Initial tests have shown that electrical conductivity does not suffer a significant reduction while wear rate and friction coefficient are better or similar to those for pure copper
The Use of Chitooligosaccharides in Cryopreservation: Discussion of Concept and First Answers from DSC Thermal Analysis

The use of dimethyl sulfoxide (Me 2 SO) as a cryoprotectant agent (CPA) is controversial. Indeed, this cryoprotectant agent (CPA) is cytotoxic and potentially mutagenic. Therefore, other cryoprotectants must be used to reduce the proportion of Me 2 SO in slow-freezing solutions. In this chapter, we propose to present the first evaluation of new non-penetrating cryoprotectants: the chitooligosaccharides (COS). These molecules are chitosan oligomers, which are biocompatible, antioxi-dant, and bacteriostatic. We first review the use of saccharides through cryopreser-vation processes. We question the possibility to reduce penetrating CPA during slow-freezing procedures. We propose to use COS as extracellular CPA to reduce the use of Me 2 SO. We question the biocompatibility of COS on mouse embryos through the analysis of the cells' development. Next, we evaluate these molecules in slow-freezing solutions with a reduced quantity of Me 2 SO. Our experimental approach is a physical method often used to characterize slow-freezing solutions. Differential scanning calorimetry (DSC) allows to evaluate the crystallization and melting processes, the amount of crystallized water, and the equilibrium temperature and consequently to evaluate the impact of different cryoprotectants. This study gives a better understanding on how slow-freezing protocols could be improved with extracellular CPA.
Urdu Writing Rules for Online Input in PDA’s

For online input, stroke sequence based recognition is generally employed. For this method, the stroke sequence must be uniquely defined for every character/Ligature. Normally, every language has unique writing rules, which are followed by experienced users and recognition engines. However, there are variations in writing style from person to person and place to place. Languages which are written from right to left e.g. Urdu, Arabic, and Persian etc. are complex and have a lot of variations due to fonts and writing style. If rules are not followed properly, the recognition engine is bound to fail. Therefore, proper writing rules are necessary for online recognition of any language based on stroke sequence. There are no published and acknowledged rules available so far for Urdu language. This paper is an effort in accumulating writing rules for ̳ Nastalique‘ font for online Urdu recognition engine
Implementation Strategies for the Cuckoo Search and the African Buffalo Optimization for the Benchmark Rosenbrock Function

The introduction of five benchmark global optimization test functions by De Jong has remained prominent in Mathematics and Computer Science for over three decades now. This paper examines the effect of the search population and the number of iterations of the Cuckoo Search and the African Buffalo Optimization in providing solutions to one of Dejong function, the Rosenbrock function, sometimes called Dejong2 function which is a unimodal non-separable function. The Rosenbrock function because of its deceptive flat landscape has proven to be a good test case for optimization algorithms since the flat surface provides very misleading information to search agents. After a number of experimental investigations using different iteration numbers and population, this study concludes that the CS provides better solutions but at a cost of more computer resources than the ABO. As a result, this study in harmony with the No Free Lunch Theorem concludes that if speed is the main consideration, the ABO is a better algorithm in solving the Rosenbrock (or a similar function), otherwise, the CS is a better choice.
Synthesis of MWCNTs/x%TiO2 nanocomposites via Evaporation Method for Decontamination of some Local Textile Dyes

: Multi-walled carbon nanotubes/titanium dioxide nanocomposites MWCNTs/x%TiO 2 with different weight ratios of TiO 2 (x = 3, 6 and 10%) have been synthesized using a simple modified evaporation method. The structure of the synthesized nanocomposite photocatalysts were characterized using XRD, SEM, N 2 adsorption-desorption and diffused reflectance UV-Vis spectroscopic techniques. The photocatalytic activity of the synthesized photocatalysts toward decontamination of two local textile dyes (Dianix Blue and Vat Green 1 Dyes) as an industrial organic pollutants commonly used in dyeing factories in Egypt. Moreover, the suggested possible mechanism of the photodegradation processes was studied. Also optical band gap was estimated by Kubelka-Munk equation for MWCNTs and MWCNTs/x%TiO 2 (x = 3, 6 and 10%) giving rises values 3.51, 2.89, 2.80, 2.69 eV respectively. The photodegradation of the two textile dyes after complete degradation were measured using chemical oxygen demand processes. analyzed using a UV-Vis spectrophotometer (Schimadzu) by measuring the change in their maximum absorbance values at 625 nm for Dianix Blue dye and at 626 nm for Vat Green 1 dye. Also the mineralization of the dyes was confirmed by COD analysis.
Diseño de un amplificador distribuido en tecnología SiGe 0.35 µm para Ultra Wide Band

A fully-integrated Distributed Amplifier was implemented in a standard 0.35 μm CMOS process up to 10 dB of gain and a bandwidth of 8.6 GHz. Octagonal inductors with no ground shield were implemented in top available metal. Design guidelines for optimizing amplifier gain are presented. Chip dimensions are 0.75 × 1 mm and power dissipation is 107 mW, drawn from a 3.3 V supply.
Study on preparation and tribological properties of as-sprayed 8YSZ/Graphite coating

The mechanical and tribological properties of the metal components can be improved by spraying ceramic coatings, but the ceramic coatings are not anti-friction. Thus we mixed nickel cladded graphite into 8YSZ (ZrO2 + 8wt-%Y2O3) powders, hoping to improve the tribological characteristics of the as-deposited 8YSZ coating. Meanwhile, the 8YSZ-Ni/Graphite coating is deposited at a substrate temperature of 500°C to tune its microstructure and mechanical properties. The results demonstrate that the graphite uniformly distributed in the composite coatings and was hardly oxidized during spraying. The friction coefficient of 8YSZ-Ni/Graphite-RT coating is lower than that of 8YSZ coating due to the formation of graphite lubricating layer. The increase of defects leads to a decreasing tendency in the hardness and wear resistance. As the substrate temperature rises to 500°C, the mechanical and anti-wear properties of 8YSZ-Ni/Graphite coating are significantly improved.
Analysis and Rerouting of Nets for Partial Reconfigurable FPGA Designs using RapidSmith2

This work analyses the routing of partial reconfigurable modules and how this can be changed using the open-source tool RapidSmith2. This tool provides an important interface for projects created in Vivado. Furthermore, RapidSmith2 provides data structures that allow for the modification of individual cells and routes in the FPGA design. Using this tooling, it is possible to interfere in the normal design flow in order to analyse the interfaces of partial reconfigurable modules. Moreover, the tooling can be applied to identify nets crossing the border of these partial reconfigurable modules and re-route them using a simple algorithm. This has been performed and tested on a simple VHDL design to verify its operation. With this analysis, the paper provides a basic framework for the analysis of partial reconfigurable FPGA designs using RapidSmith2.
Performance Analysis of Axial Field Permanent Magnet Generator

Axial Field Permanent Magnet (AFPM) synchronous generators are broadly connected for the little size power wind turbine this is ascribe to its powerful thickness per unit load than the conventional synchronous generator. It is a circle molded rotor and the stator structures. In this paper, examine the execution of both AFER-NS and AFIR-S generators having double side's slotted stator core is accomplished to improve the output generation characteristics. The electromagnetic plan examination was done to expand the power density. The enhancements design structure optimizations of the rotor pole-arc ratio of permanent magnet are proficient to increase output power and to decrease cogging torque. The output performances of AFER-NS and AFIR-S generators are associated with each other.
Pharmaceutical Applications of Gas Chromatography

Gas chromatography is an analytical tool for the separation of compounds in complex mixtures based on the polarity of compounds. Separation is achieved only for compounds that are volatile or that can be made volatile on derivatization of the compound using derivatizing agents. This is one of the widely accepted tools for the separation of compounds because of its simplicity, sensitivity, and effectiveness. The principle of separation of compounds depends on the partitioning behaviour difference between mobile and stationary phase, the sample is carried by a moving gas stream through a tube packed with a finely divided solid or may be coated with a film of a liquid. Different types of columns having a various composition of stationary phase are been used for the separation of different classes of compounds mixture or sample in a suitable solvent is introduced through the injector maintained at higher temperature which is capable of volatilizing the compound into the column.
Personal Data Exploration with Speech on Mobile Devices

In this article, we envision a novel way to help people explore their personal data on mobile devices by leveraging speech interaction. Supporting visual data exploration on mobile devices pertains to two constraints. First, mobile devices’ small screen cannot afford a panel of widgets. Second, exploring self-tracking data often involves entering speciﬁc date and time, or their ranges, which is tedious to do on mobile devices. These challenges can be addressed through speech because it does not require much space and is ﬂexible enough to cover different ways to specify date and time. Moreover, common personal insight types identiﬁed from prior work allow us to narrow the scope of the speech interaction needed for personal data exploration, making it more tractable with the state-of-the-art speech recognition technology.
A New Reversible Design of Adder & Subtractor Using Reversible Logic Gates

Modern VLSI design circuitry is used for low power consumption which is the requirements of ICs. Reversible logic has its tremendous applications and importance because it doesn’t lose any single bit of information of no information while performing computation bit loss during computation; it reflects the result in low power dissipation. However, we have to convert the reversible circuits into fault tolerant reversible circuits; it helps to detect the occurrence of errors and faults. Parity preserving property can be used for this. A new parity preserving reversible gate is proposed in this paper, named as P2RG. The most significant aspect of this work is that it can work as a full adder as well as full subtractor by using one P2RG and Fredkin gate only. This proposed design is very good in terms of gate count, garbage outputs, constant inputs and area than the existing similitude. The concept behind the reversible logic circuits is that the inputs and outputs are same.
Robust transferrable superhydrophobic surfaces

In this study, we present a simple and inexpensive method for enhancing the robustness of aluminium-based superhydrophobic surfaces and identify a method for reliably evaluating the degradation of such surfaces. A superhydrophobic aluminium surface was prepared by a chemical etching and hydrophobic coating. Hydrophobized aluminium particles on the surface were then transferred to adhesive strips. Scanning electron microscopy and contact angle measurements were conducted before and after water-jet and mechanical abrasion tests to evaluate the robustness of the superhydrophobic surfaces. Following the tests, the advancing contact angle remained unchanged while the receding contact angle depended on the adhesive strength of the surface. The receding contact angle on the superhydrophobic adhesive strip was found to decrease at a reduced rate, as compared to the original superhydrophobic aluminium surface. The receding contact angle was also measured to increase with the adhesive strength of the strips, demonstrating better overall superhydrophobic performance.