Miracle-dz/UniFAR-FTUs huggingface dataset:
More than Professional Competence - The Karlsruhe Education Model for Product Development (KaLep)

The development of products is one of the most complex and important stages in the value creation chain. Besides professional competence and competence in methods, key abilities like social competence, the capability to make decisions and realize them are essential for future engineers to launch successful products in the market. The basis for the Karlsruhe Education Model for Product Development (KaLeP), started in 1999, is the above mentioned holistic understanding of product development. For an education oriented on the demand of later professionals the courses are divided into three parts: the theoretical knowledge is imparted in lectures, in tutorials where the students train the practical appliance and implement it in a workshop with a complex project work. The courses are embedded in a realistic and industry-near development environment and in addition to the professional competence, method and process knowledge is taught in different competence fields. The KaLep is part of an integrated education which is closely associated with materials science, manufacturing technology, engineering mechanics, etc. To ensure a methodical row the KaLep is separated into three education phases which are characterized through different fields of product development-specific knowledge: systems, methods and processes. The first phase consists of the courses “Mechanical Design I, II and III”. Its focus is set on technical systems in product development. The students learn basic considerations of complex machine elements by means of the Element Model C&CM (Contact & Channel Model), process steps of product design, teamwork and elaboration capability as well as design and dimensioning regulations supported by engineering-specific software. In the second phase, in the course “Product Design”, students learn the basics of development structures und development processes in mechanical engineering and the appliance of product-neutral methods for support. In the third phase knowledge is deepened in the course “Integrated Product Development”, the core of the KaLep. In the lecture students are taught the field of product development processes in enterprises. Systematic planning, controlling and regulation of the developmentand innovation process, the appliance of effective methods, strategy and team management are the main tees of this phase. The whole process is connected to a product development project with an industrial partner which generates a competition character between the student teams. For gaining very important international experiences the students have the possibility to attend exchange programs with Purdue-University (Indiana) in the USA and Shanghai in China within the Global Engineering Alliance for Research and Education (GEARE).
HiLT@IECSIL-FIRE-2018: A Named Entity Recognition System for Indian Languages

In this paper, we describe our submission for FIRE 2018 Shared Task on Named Entity Recognition in Indian Languages[3]. Iden-tiﬁcation of Named Entities is important in several higher language technology systems such as Information Extraction systems, Machine Translation systems, and Cross-Lingual Information Access systems. The system makes use of the diﬀerent contextual information of the words along with the Word-Level and Character-Level features that are helpful in predicting the various Named Entity Classes. This model is an end to end Language Independent Deep Learning Model for Named Entity Recognition to support all Indian Languages. Our model uses no domain-speciﬁc knowledge and no handcrafted rules of any sort to attain good results. The model solely relies on semantic information in form of word level embedding and character level embedding learned by unsupervised learning algorithms so that this model can be replicated across other languages.We have used 2CNN+LSTM model consisting of CNN as character-level encoder, CNN as word-level encoder and BiLSTM as the Tag Decoder.
Variational Latent Dependency Learning

In this work, we propose a method for learning dependency structures in latent variable models. We discuss a variational end-to-end approach for learning arbitrary directed graph structures introducing minimal complexity overhead. In particular, we introduce a set of binary global variables to gate the latent dependencies. The whole model (including its structure) is jointly optimized with a single stochastic variational inference objective. In our experimental validation, we show that the learned dependency structures contribute to a more accurate representation of the true generative distribution, outperforming several other variants of variational autoencoders.
Output Force Enhancement of Finger-type Manipulator by Adopting Brushless DC Motors for Sliding Actuation

In this paper, we newly develop a finger-type manipulator driven by the slidingactuation with min iaturized brushless DC(BLDC) motors. The mechanism allows the usage of the maximalcapacity of actuators by employing the distributed actuation principle while maintaining thesmall size. Thanks to the high thrust force of the BLDC motors, the maximu m fingertipforce of the developed robot finger is remarkab ly enhanced. Through experimentation, thefingertip force of the proposed robot finger is assessed and compared with the former versionwith the ultrasonic motors.
PRESSURIZED WATER TEMPERATURE CONTROL OF A FRESNEL COLLECTOR FIELD-TYPE SOLAR COOLING SYSTEM USING EXPLICIT MODEL PREDICTIVE CONTROL

This paper addresses the design of an explicit model predictive controller for the outlet water temperature control of a solar cooling plant system that uses a field of Fresnel collectors. Solving multi-parametric quadratic programs (mpQP) to obtain explicit solutions to constrained model predictive control (MPC) problems enables the offline design before the MPC controller is implemented, e.g., on a standard programmable logic controller. The simulation result shows the feasibility of the proposed control design for such a system. This is implementable on industrial application-based hardware platforms where computational and memory resources are limited.
Biochemical fingerprint of colorectal cancer cell lines using label‐free live single‐cell Raman spectroscopy

Abstract Label‐free live single‐cell Raman spectroscopy was used to obtain a chemical fingerprint of colorectal cancer cells including the classification of the SW480 and SW620 cell line model system, derived from primary and secondary tumour cells from the same patient. High‐quality Raman spectra were acquired from hundreds of live cells, showing high reproducibility between experiments. Principal component analysis with linear discriminant analysis yielded the best cell classification, with an accuracy of 98.7 ± 0.3% (standard error) when compared with discrimination trees or support vector machines. SW480 showed higher content of the disordered secondary protein structure Amide III band, whereas SW620 showed larger α‐helix and β‐sheet band content. The SW620 cell line also displayed higher nucleic acid, phosphates, saccharide, and CH2 content. HL60, HT29, HCT116, SW620, and SW480 live single‐cell spectra were classified using principal component analysis or linear discriminant analysis with an accuracy of 92.4 ± 0.4% (standard error), showing differences mainly in the β‐sheet content, the cytochrome C bands, the CH‐stretching regions, the lactate contributions, and the DNA content. The lipids contributions above 2,900 cm−1 and the lactate contributions at 1,785 cm−1 appeared to be dependent on the colorectal adenocarcinoma stage, the advanced stage cell lines showing lower lipid, and higher lactate content. The results demonstrate that these cell lines can be distinguished with high confidence, suggesting that Raman spectroscopy on live cells can distinguish between different disease stages, and could play an important role clinically as a diagnostic tool for cell phenotyping.
Illumination response of CdZnTe

CdZnTe (CZT) semiconducting crystals are of interest for use as room temperature X- and γ-ray spectrometers. Several studies have focused on understanding the various electronic properties of these materials, such as the surface and bulk resistivities and the distribution of the electric field within the crystal. Specifically of interest is how these properties are influenced by a variety of factors including structural heterogeneities, such as secondary phases (SPs) and line defects as well as environmental effects. Herein, we report the bulk current, surface current, electric field distribution and performance of a spectrometer-grade CZT crystal exposed to above band-gap energy illumination.
Quantum distribution of Gaussian keys using squeezed states

A continuous key-distribution scheme is proposed that relies on a pair of conjugate quantum variables. It allows two remote parties to share a secret Gaussian key by encoding it into one of the two quadrature components of a single-mode electromagnetic field. The resulting quantum cryptographic information versus disturbance trade-off is investigated for an individual attack based on the optimal continuous cloning machine. It is shown that the information gained by the eavesdropper then simply equals the information lost by the receiver.
Filtering methods for finite-time normal modes and atmospheric error growth

Krylov subspace methods are employed to generate the leading normal modes (NMs) and dominant finite-time normal modes (FTNMs) for atmospheric flows. The filtering techniques that play essential roles in our applications are described. The statistics of 100 evolved error fields are studied and compared with the growth and structures of fast growing NMs and FTNMs in a barotropic tangent linear model, with time-dependent basic states taken from observations.
An Exploration of Contemplative Practice in the Life of the Art Therapist

A six week self-study was conducted to explore the use of regular contemplative practice and art-making to examine effects on the life of an art therapy graduate student. This study examined a three-fold inquiry regarding the use of contemplative practices, namely Buddhist meditation, as well as weekly reflective art making to broaden self-knowledge and enhance general wellbeing. Further implications of the use of contemplative practice and reflective art making were reviewed for clinical application in the field of art therapy, both for the client and art therapist.
Assessment of the toxicity of crude oil in Sinonovacula constricta clams

This study is aimed at investigating the toxic effects on clams (Sinonovacula constricta ) exposed to selected concentrations of individual crude oil: water accommodated fraction (WAF) and chemically enhanced (or dispersed) WAF (CEWAF). For this purpose, a study was performed on clams exposed to 0.04 mg L-1 and 0.01 mg L-1 WAF and CEWAF for 15 days, using parameters of antioxidant defense and oxidative damage. The accumulation of total petroleum hydrocarbon (TPH) in the gills of clams was dependent on time and dose, and CEWAF accumulation was higher than WAF accumulation. Exposure of clams to CEWAF oil resulted in significantly (p < 0.05) elevated ethoxyresorufin-O-deethylase (EROD) activity compared with exposure to controls. The level of EROD induction was concentration-related, as indicated by the induction observed in clams exposed to higher concentrations of CEWAF. Oxidative damage indicators (DNA strand breaks) were also measured in gills to assess the effects of the selected crude oil by alkaline unwinding assay. Results showed that DNA damage was significantly induced, except in the low-level groups of WAF, and different trends were detected with time of exposure. Significant correlations between TPH uptake and both EROD activity and DNA damage can be used as suitable tools for integrated levels of study on the biomarkers of crude oil exposure.
Out-of-gap Bose-Einstein solitons in optical lattices

We study the existence and the spectral and collisional properties of bright and dark solitons in a Bose-Einstein condensate (BEC) in optical lattices. Both types of these solitons are located on the background of a matter wave of finite amplitude with characteristic frequency lying outside the forbidden gap. Thus we term our solitons out-of-gap solitons. We discuss feasibility of practical preparation of the background wave to observe these solitons and make connections with recent experiments studying BEC in optical lattices. We prove that the dark out-of-gap solitons are robust against perturbations and numerically verify the possibility of their excitation using a phase imprinting technique.
Efficient single pixel imaging in Fourier space

Single pixel imaging (SPI) is a novel technique capturing 2D images using a bucket detector with a high signal-to-noise ratio, wide spectrum range and low cost. Conventional SPI projects random illumination patterns to randomly and uniformly sample the entire scene’s information. Determined by Nyquist sampling theory, SPI needs either numerous projections or high computation cost to reconstruct the target scene, especially for high-resolution cases. To address this issue, we propose an efficient single pixel imaging technique (eSPI), which instead projects sinusoidal patterns for importance sampling of the target scene’s spatial spectrum in Fourier space. Specifically, utilizing the centrosymmetric conjugation and sparsity priors of natural images’ spatial spectra, eSPI sequentially projects two π 2 -phase-shifted sinusoidal patterns to obtain each Fourier coefficient in the most informative spatial frequency bands. eSPI can reduce requisite patterns by two orders of magnitude compared to conventional SPI, which helps a lot for fast and high-resolution SPI.
Quantile Sieve Estimates For Time Series

We consider the problem of estimating the conditional quantile of a time series at time t given observations of the same and perhaps other time series available at time t - 1. We discuss sieve estimates which are a nonparametric versions of the Koenker-Bassett regression quantiles and do not require the specification of the innovation law. We prove consistency of those estimates and illustrate their good performance for light- and heavy-tailed distributions of the innovations with a small simulation study. As an economic application, we use the estimates for calculating the value at risk of some stock price series.
Characterisation and role of Isoamylase1 (Meisa1 ) gene in cassava

The current concept for starch biosynthesis in plants is that amylopectin, the major fraction of starch, is synthesised by the concerted actions of ADP-Glc pyrophosphorylase (AGPase), soluble starch synthase (SS), starch-branching enzyme (BE), and starch-debranching enzyme (DBE). We have isolated a cDNA clone of Isoamylase1 gene, a member of DBE family from cassava (Manihot esculenta Crantz) storage root. The cloned cDNA fragment sequence (764 bp) showed high identity of 90% to Rcisa1, and 81% identity to Psisa1, Stisa1 and Atisa1. The deduced protein sequence showed highest (92%) identity with RCISA1. The comparative sequence analysis confirmed the cloned fragment to be M. esculenta isoamylase1 gene (Meisa1; accession number GU229751). Genomic analysis revealed occurrence of at least two copies of the Meisa1 gene. Highest Meisa1 transcript expression levels were detected in fibrous root followed by in the stem and least detected in the leaf and petiole. Analysis of the temporal expression pattern in the storage root showed initial and maximum expression at 90 days after planting (DAP), and declined thereafter to undetectable levels by 180 DAP. The results implicate a major role of Meisa1 in storage root differentiation and early starch granule initiation.
Evolution of the Natural Transformation Protein, ComEC, in Bacteria

Natural transformation enables the incorporation of exogenous DNA into host genomes and plays a fundamental role in the evolution of microbial populations. At the center of the natural transformation machinery, the ComEC protein mediates DNA import and serves potential functions in DNA recognition and single strand degradation. Despite its importance, the evolution of ComEC is not fully understood. Here, we aim to fill this knowledge gap by surveying putative ComEC proteins across 5,574 bacteria that span diverse phyla. We first derived the presence of a universal, core Competence domain through the analysis of ComEC proteins from known naturally competent species. Then, we followed this observation to identify Competence domain containing proteins (CDCPs) from all bacteria and used CDCPs as putative ComEC proteins for evolutionary analysis. A near universal presence of CDCPs was revealed, with 89% of the proteomes and 96% of the genomes encoding a single CDCP or a CDCP-like fragment. Two domains, DUF4131 and Lactamase_B, were found to commonly co-occur with the Competence domain. Ancestral state reconstruction of CDCPs over the bacterial species phylogeny suggested an origin of a Competence-only domain profile, while multiple gains and losses of the DUF4131 and Lactamase_B domains were observed among diverse bacterial lineages.
Generic Lossless Visible Watermarking

For generic visible watermarking with a capability of lossless image recovery, a novel method is proposed. This method is based on the deterministic one-to-one compound mappings of image pixel values for covering a variety of visible watermarks of arbitrary sizes on the host images. The compound mappings are proved to be reversible, that means it allows lossless recovery of original images from watermarked images, so that recovered image and the host image should be the same. The mappings may be adjusted to yield pixel values close to those of desired visible watermarks. Including opaque monochrome and translucent full color ones, different types of visible watermarks are embedded as applications of the proposed generic approach. To produce more distinctive visible watermarks in the watermarked image, a two-fold monotonically increasing compound mapping is created and proved. Security protection measures by parameter and mapping randomizations and also by using the HASH algorithm have also been proposed to prevent attackers from illegitimate image recoveries. Experimental results representing the convenience of the proposed approach are also included.
My lawfully wedded workplace: identifying relational similarities of marriage and employment

Purpose – The purpose of this paper is to introduce a novel direction of enquiry into predictions of employee turnover through the application of a qualitative method adapted from marital research. This method focuses on diagnosing the relationship, and has been able to predict divorce with an accuracy of over 90 per cent, as opposed to existing turnover prediction methods’ modest success of about 30 per cent. By demonstrating that the method can be applied to turnover research, this study completes a seminal step in developing this promising direction of enquiry. Design/methodology/approach – The Oral History Interview method for predicting divorce is adapted to employment settings, and tested on Australian legal and healthcare employees. A qualitative analysis of their responses maps the results from this inquiry onto separation-predicting processes identified in marital research. The results are compared to turnover data collected two years later. Findings – Similar relational processes exist in marita.
Integration and Testing of the Nanosatellite Optical Downlink Experiment

Free space optical (FSO) communications have the potential to outperform traditional radio frequency data rates by orders of magnitude using comparable mass, volume, and power. The Nanosatellite Optical Downlink Experiment (NODE) is a 1.2U, 1 kg, 15 W, 1550 nm CubeSat downlink transmitter that uses a master-oscillator power amplifier configuration with a modest 1.3 mrad half-power beamwidth (HPBW) enabled by a microelectromechanical system (MEMS) Fast Steering Mirror (FSM) [1],[4]. NODE is designed to be compatible with the Portable Telescope for Lasercom (PorTeL) ground station [3],[6],[19], which has successfully demonstrated tracking of low Earth orbit objects to better than 5 arcseconds RMS. The flight-like opto-mechanical NODE engineering model has successfully passed vibration testing at qualification levels specified by NASA GEVS [9]. The engineering model has also passed thermal testing in vacuum under worstcase expected environmental loads, and component operational temperatures remained within limits. Tests of the optomechanical alignment and control algorithms meet +/0.05 mrad (3-sigma) for the space and ground terminals. We present results from the NODE engineering unit and flight unit development, integration, and testing, as well as interface test results with PorTeL.
Determination of 17α-Methyltestosterone in Freshwater Samples of Tilapia Farming by High Performance Liquid Chromatography

17α-methyltestosterone is used to induce the sex reversal of Tilapia sp. to obtain cultures mono-sex to an economically viable. This practice may lead to environmental contamination and problems in human health. Therefore methods need to be developed to detect residues of 17α-methyltestosterone in aqueous matrices. A simple high-performance liquid chromatographic method using ultraviolet detection (245 nm) and testosterone as internal standard has been developed for the monitoring 17α-methyltestosterone in freshwater samples of tilapia aquaculture. The method described involves limited sample preparation as it includes a filtration followed by a single solid-phase extraction step using C18 cartridge. Validation data indicated that the HPLC-UV method for 17α-methyltestosterone determination in the concentration range of 50 - 2000 μg/L provided good linearity, sensitivity, accuracy and precision. Method performance was efficiently applied to monitoring the freshwater samples of fish ponds and the surrounding aquatic channels.