Miracle-dz/UniFAR-FTUs huggingface dataset:
Pentacene and CuO Nanocomposite Based Self-Powered Broadband Photodetector

This work proposes an Al/Pentacene:CuO/ PEDOT:PSS/ITO structure based photodetector fabricated on an indium-tin oxide (ITO) coated glass substrate by low-cost solution method. The device uses Pentacene:CuO nanocomposite as the active layer and PEDOT:PSS as the hole transport layer (HTL). The proposed device shows a broadband photodetection properties with responsivities of ~35.25 A/W, ~8.74 A/W and ~2.75 A/W at wavelengths of ~380 nm (UV), ~600 nm (visible) and ~980 nm (NIR) under 1 V reverse bias voltage, respectively. The device also shows the self-biased property with the maximum responsivity of ~14.4 mA/W at ~600 nm under zero bias operation. The repeatability and stability of the device have been observed through repetitive device fabrication with subsequent measurements.
Modeling of Nonlinear Dynamics and Temperature Stability of Doped Silicon Microresonators

Silicon is widely used as the device material for many micro resonators applied in timing and frequency referencing. One key disadvantage of silicon resonators compared to quartz resonators is their high thermal sensitivities. Doping silicon is a promising approach for temperature stability. Doped resonators operating at large deformation and finite strain amplitude often go to nonlinear regimes; therefore, nonlinear dynamics must be considered for adequately predicting the system behavior. In this article, the nonlinear vibration analysis is given for rectangular resonators operating in the Lamé mode, incorporating both the second- and third-order elastic constant (SOEC and TOEC) components. This article presents an analytic demonstration for the linear and nonlinear lumped mass system equivalent spring constants explicitly in terms of SOEC and TOEC. We show that, for a rectangular resonator in the Lamé mode, the first-order nonlinear spring constant would be an explicit expression in terms of TOEC components, which, for a square resonator, will be nullified. We show that there exist optimal doping levels where the anharmonic stiffness coefficient is minimized, implying the most dynamic stable vibrations. Furthermore, this article shows that there exists a tradeoff between dynamical and temperature–frequency stability in terms of the doping level.
Hypothesis Testing and Identification Systems

We study hypothesis testing problems with fixed compression mappings and with user-dependent compression mappings to decide whether or not an observation sequence is related to one of the users in a database, which contains compressed versions of previously enrolled users’ data. We first provide the optimal characterization of the exponent of the probability of the second type of error for the fixed compression mappings scenario when the number of users in the database grows exponentially. We then establish operational equivalence relations between the Wyner-Ahlswede-Körner network, the single-user hypothesis testing problem, the multi-user hypothesis testing problem with user-dependent compression mappings and the identification systems with user-dependent compression mappings. These equivalence relations imply the strong converse and exponentially strong converse for the multi-user hypothesis testing and the identification systems both with user-dependent compression mappings. Finally they also show how an identification scheme can be turned into a multi-user hypothesis testing scheme with an explicit transfer of rate and error probability conditions and vice versa.
Design and Performance of ScAlN/AlN Trapezoidal Cantilever-Based MEMS Piezoelectric Energy Harvesters

In this work, we report a method to enlarge the trapezoidal cantilever-based harvester power by using the high-performance Sc<sub>0.2</sub>Al<sub>0.8</sub>N/aluminum nitride (AlN) composite film and introducing symmetrical corners to both sides of the beam. Energy harvesters with variable beam structure and piezoelectric film are designed and evaluated by simulations and experiments. The trapezoid with corners (TWCs) cantilever is verified to improve the output power by a factor of five times when compared with the conventional trapezoidal cantilever without corners. The maximum power density of the ScAlN/AlN-based TWC cantilever harvester is about twice that of the AlN-based harvester, reaching 2.054 mW<inline-formula> <tex-math notation="LaTeX">$\cdot \text{g}^{-2}\cdot $ </tex-math></inline-formula>cm<sup>−3</sup> at a frequency of 330.25 Hz. The optimization of piezoelectric film and structure can give an inspiration for further improving the performance of cantilever-based energy harvesters.
Development of Digital Twin for Robotic Arm

Nowadays digital twin technology is a powerful tool for describing, controlling, and displaying the behavior of a real object of robotic systems. This technology is currently planned for widespread application in the Industry 4.0. And one of the important tasks in this area is the creation of a dynamic model of the object in the simulation program. The article describes the basic principles of digital twins’ design of the manipulator, taking into account its dynamic and mass-dimensional characteristics. It was shown that the use of polynomial algorithms in the control system provides the best solution for the quality of technological operations and provides standard tolerance grades and limit deviations within IT7.
Impacts of Program/Erase Cycling on the Low-Frequency Noise Characteristics of Reconfigurable Gated Schottky Diodes

In this work, the low-frequency noise (LFN) characteristics of reconfigurable field-effect-transistor (RFET), gated Schottky Diode (GSD), are investigated. The GSD has a different 1/<inline-formula> <tex-math notation="LaTeX">${f}$ </tex-math></inline-formula> noise origin depending on the operation mode (<inline-formula> <tex-math notation="LaTeX">${p}$ </tex-math></inline-formula>- or <inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula>-type FET mode) and current (<inline-formula> <tex-math notation="LaTeX">${I} _{\mathbf {O}}$ </tex-math></inline-formula>) region (low or high <inline-formula> <tex-math notation="LaTeX">${I} _{\mathbf {O}}$ </tex-math></inline-formula> region). Depending on the 1/<inline-formula> <tex-math notation="LaTeX">${f}$ </tex-math></inline-formula> noise origin, the effects of the program/erase (P/E) cycling differs. The <inline-formula> <tex-math notation="LaTeX">${n}$ </tex-math></inline-formula>-type mode GSD operating in the high <inline-formula> <tex-math notation="LaTeX">${I} _{\mathbf {O}}$ </tex-math></inline-formula> region whose 1/<inline-formula> <tex-math notation="LaTeX">${f}$ </tex-math></inline-formula> noise is originated from the carrier number fluctuation (CNF) shows the largest noise increase after the 10<sup>4</sup> P/E cycling.
Low-Temperature Electrical Performance of PureB Photodiodes Revealing Al-Metallization-Related Degradation of Dark Currents

Pure boron (PureB) deposition as the anode region of Si photodiodes creates negative fixed charge at the boron/silicon interface, which is responsible for effective suppression of electron injection from the bulk, thus ensuring low saturation/dark current densities. This mechanism is shown here to remain effective when PureB diodes, fabricated at 700 °C, are operated at cryogenic temperatures down to 100 K. Although the PureB junctions were only a few nanometers deep, they displayed the same current–voltage (<inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">${V}$ </tex-math></inline-formula>) characteristics as conventional deep diffused p<sup>+</sup>-n junction diodes in the whole temperature range and also maintained ideality factors close to <inline-formula> <tex-math notation="LaTeX">${n} = 1$ </tex-math></inline-formula>. Al-contacting was found to reveal process-related defects in the form of anomalous high current regions giving kinks in the <inline-formula> <tex-math notation="LaTeX">${I}$ </tex-math></inline-formula>–<inline-formula> <tex-math notation="LaTeX">${V}$ </tex-math></inline-formula> characteristics, often only visible at low temperatures. They were identified as minute Al–Si Schottky junctions with an effective barrier height of ~0.65 ± 0.05 eV. In PureB single-photon avalanche diodes (SPADs), Al–Si perimeter defects appeared but did not affect the breakdown voltage characteristics set by implicit guard rings. Low series resistance required thin B-layers that promoted tunneling. In particular, for such thin layers, avoiding Al-related degradation puts stringent requirements on wafer cleaning and window etch procedures.
Traction Mode of an Electric Vehicle based on a Delta Inverter feeding a Split Stator Windings PMSM

In this paper, a traction mode of an electric vehicle based on a delta inverter feeding a split stator windings permanent magnet synchronous machine (PMSM) is proposed. The use of reduced inverter topologies such as the delta inverter allows the cost-effectiveness and the compactness of the electric propulsion systems. The PMSM with split stator windings is adopted in the integrated battery charger of hybrid electric vehicles as a motor with reconfigured stator windings for all different modes: traction/charge operation. This paper develops the traction mode operation of these motor/inverter association under a vector control strategy. Simulation results of the proposed association under the dedicated strategy are registered.
Active Damping in Series Connected Power Converters with Continuous Output Voltage

This paper illustrates the implementation of series connected hardware modules as part of a scalable and modular power electronics device, which is ideally suited in the field of electric vehicles using wide bandgap semiconductor devices. The main benefit of the modular concept is that different current or voltage requirements can be satisfied based on the appropriate series or parallel connection of single modules. The particular design is based on the fact that the single modules generate a continuous and specified output voltage from a given dc voltage. The current work focuses on a brief classification of this work in different series connected concepts of power converters and in particular on an active damping approach for the series connected LC output filters based on inductor current feedback.
CoBot Studio VR: A Virtual Reality Game Environment for Transdisciplinary Research on Interpretability and Trust in Human-Robot Collaboration

With the rise of collaborative robots (cobots) in industrial workplaces, designing these robots to meet the needs of their human co-workers is becoming increasingly important. Psychological theories and recent results from HRI research suggest interpretability and predictability of cobot behavior as key factors for the establishment of trust and collaborative task success. However, it is not yet clear which robotic intention signals are easily interpretable for whom and how they might impact user experience in varying situations. Therefore, the transdisciplinary team of the research project CoBot Studio created an innovative virtual reality (VR) environment in which the effectiveness of different light-and motion-based cobot signals can be systematically evaluated (i) in various collaborative mini-games, (ii) without safety concerns, (iii) under randomized controlled conditions, and (iiii) without the need to make actual hardware adjustments to a robot. This paper introduces functionalities and the system architecture of the highly versatile CoBot Studio research environment, presents an initial application, and discusses methodological benefits of using immersive VR games for research into human-robot collaboration
Deriving de re blocking effects

This paper presents and attempts to account for novel empirical data from English in which the de re blocking effect–that an obligatorily de se anaphor cannot be c-commanded by its de re counterpart–is attested. I argue that at least some instances of the de re blocking effect cannot be accounted for via syntactic accounts, contra Percus and Sauerland (2003b) and Anand (2006). Via experimental evidence, it is shown that the de re blocking effect takes place with passives and across clause boundaries with certain predicates but not with others, and in a completely local conﬁguration with PRO. Given the difference between blocking with PRO and the other kinds, I argue that there are at least two different kinds of de re blocking effects. I propose that some instances of blocking may involve lexical restrictions on thematic relations between de se and de re counterparts.
Contextual Bandits for Advertising Budget Allocation

When allocating budgets across different ad campaigns, advertisers confront the challenge that the payouts or returns are uncertain. In this paper, we describe a system for optimizing advertising campaign budgets to ensure long-term profitability in the face of this uncertainty. Our modified contextual bandit system 1) applies supervised learning to predict ad campaign payouts based on context features and historical performance; 2) extrapolates the payouts to out-of-sample budgets using a simple functional form for the distribution of payouts; then 3) uses Thompson Sampling from the predicted payout distributions to manage the explore-exploit trade-off when selecting budgets. Using our system, we measure an overall efficiency improvement of (22 ± 10)% in the mean Cost Per Acquisition over the previous budget allocation strategy using Markov Chain Monte-Carlo. This system is now responsible for managing hundreds of millions of dollars of annual marketing spend at Lyft.
Analysis of the Gut Microbiota of Japanese Alzheimer’s Disease Patients and Characterization of Their Butyrate-Producing Bacteria 2018, July

The group of butyrate-producing bacteria within the human gut microbiome may be associated with positive effects on memory improvement, according to previous studies on dementia-associated diseases. Here, fecal samples of four elderly Japanese diagnosed with Alzheimer’s disease (AD) were used to isolate butyrate-producing bacteria. 226 isolates were randomly picked, their 16S rRNA genes were sequenced, and assigned into sixty OTUs (operational taxonomic units) based on BLASTn results. Four isolates with less than 97% homology to known sequences were considered as unique OTUs of potentially butyrate-
Universal Evolutionary Model for Periodical Species

Real-world examples of periodical species range from cicadas, whose life cycles are large prime numbers, like 13 or 17, to bamboos, whose periods are large multiples of small primes, like 40 or even 120. The periodicity is caused by interaction of species, be it a predator-prey relationship, symbiosis, commensalism, or competition exclusion principle. We propose a simple mathematical model, which explains and models all those principles, including listed extremal cases. This rather universal, qualitative model is based on the concept of a local fitness function, where a randomly chosen new period is selected if the value of the global fitness function of the species increases. Arithmetically speaking, the different interactions are related to only four principles: given a couple of integer periods either (1) their greatest common divisor is one, (2) one of the periods is prime, (3) both periods are equal, or (4) one period is an integer multiple of the other.
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity

We establish exact asymptotic expressions for the normalized mutual information and minimum mean-square-error (MMSE) of sparse linear regression in the sub-linear sparsity regime. Our result is achieved by a generalization of the adaptive interpolation method in Bayesian inference for linear regimes to sub-linear ones. A modification of the well-known approximate message passing algorithm to approach the MMSE fundamental limit is also proposed, and its state evolution is rigorously analyzed. Our results show that the traditional linear assumption between the signal dimension and number of observations in the replica and adaptive interpolation methods is not necessary for sparse signals. They also show how to modify the existing well-known AMP algorithms for linear regimes to sub-linear ones.
Modeling and Experimental Studies on Phase and Chemical Equilibria in High-Pressure Methanol Synthesis

A solution method was developed to calculate the simultaneous phase and chemical equilibria in high-pressure methanol synthesis (P = 20 MPa, 463 < T < 553 K). Algorithms were developed that explicitly consider the existence of a condensed phase and include dew point calculations. A modification of the Soave–Redlich–Kwong equation of state was used to correct for nonideal effects. Binary interaction coefficients were derived from literature data on high-pressure binary vapor–liquid equilibria. Predicted equilibrium conversions, with and without formation of a liquid phase, were successfully verified with new experimental results on high-pressure methanol synthesis obtained in a packed bed methanol synthesis reactor. Experimental data coincide very well with model predictions for the equilibrium conversion and gas composition. Remarkably, in some situations the model calculations appeared to predict condensation followed by a disappearing liquid phase (retrograde-like behavior) with increasing extent of the.
Enhancing OCR Performance with Low Supervision

Over the last decade, a tremendous emphasis has been laid on collection and digitization of a vast number of books leading to the creation of so-called ‘Digital Libraries’. Projects like Google Book and Project Gutenberg have made significant progress in digitizing over millions of books and making it available to the public. Efforts have also been made from the perspective of Indic languages where the task to identify and recognize books from several Indian languages has been undertaken by the National Digital Library of India. Advantages of digital libraries can be manifold. Digitization of ancient manuscripts ensures the preservation of knowledge and promotes research. Books in digital libraries are indexed which facilitates easy search and retrieval. They are easy to store and do not take as much effort in maintenance as their physical counterparts. One of the most important steps in the digitization effort is the recognition and conversion of physical pages into editable text using an OCR. There are commercial OCRs available like Tesseract and Abby fine reader, however, the ability of an OCR to recognize text without committing too many errors depends very much on the print quality of the pages as well as font style of the type-written text. A pre-trained OCR will invariably make errors across pages whose distribution is different in terms of fonts and print quality from the pages on which it was trained. If the domain gap is too large then the number of error words will be too high which will result in investing significant effort in the correction. Since the books need to be indexed, one cannot afford to have too many word errors in the OCR recognized pages. Thus, a major effort must be spent on correcting the error words, misclassified by the OCR. Manually correcting each isolated error word will incur a huge cost and is infeasible. In this thesis, we look at methods to improve OCR accuracy with minimum human involvement. To this effect, we propose two approaches. In the first approach, we strive to improve the OCR performance via an efficient postprocessing technique where we aim to group similar erroneous words and correct them simultaneously. We argue that since a book has a common underlying theme, it will contain many word repetitions. These word co-occurrences can be taken advantage of by grouping similar error words and correcting them in batches. We propose a novel clustering scheme which combines features from both images as well as its text transcription to group error word predictions. The grouped error predictions can then be corrected either automatically or with the help of a human annotator. We show via experimental verification that automatic correction of error word batches might not be the most efficient way to correct the error words and employing a human annotator to verify the error word clusters will be a more systematic way to address the issue.
The Adenoviral E1B-55k Protein Present in HEK293 Cells Mediates Abnormal Accumulation of Key WNT Signaling Proteins in Large Cytoplasmic Aggregates

HEK293 cells are one of the most widely used cell lines in research and HEK293 cells are frequently used as an in vitro model for studying the WNT signaling pathway. The HEK293 cell line was originally established by transfection of human embryonic kidney cells with sheared adenovirus 5 DNA and it is known that that HEK293 cells stably express the adenoviral E1A and E1B-55k proteins. Here we show that HEK293 cells display an unexpected distribution of key components of the WNT/β-catenin signaling pathway where AXIN1, APC, DVL2 and tankyrase are all co-localized in large spherical cytoplasmic aggregates. The cytoplasmic aggregates are enclosed by a narrow layer of the adenoviral E1B-55k protein. Reduction of E1B-55k protein levels leads to disappearance of the cytoplasmic aggregates thus corroborating an essential role of the E1B-55k protein in mediating the formation of the aggregates. Furthermore, HEK293 cells with reduced E1B-55k protein levels display reduced levels of transcriptional activation of WNT/β-catenin signaling upon stimulation by the Wnt3A agonist. The demonstrated influence of the E1B-55k protein on the cellular localization of WNT/β-catenin signaling components and on transcriptional regulation of WNT/β-catenin signaling asks for caution in the interpretation of data derived from the HEK293 cell line.
Comparisons of Methods for the Determination of Anthocyanins in Red Wines

The anthocyanin contents of red wines were determined by high performance liquid chromatography (HPLC) and by classic spectrophotometric methods, introducing modifications in the expression originally used for the calculation to make the results comparable. The values obtained with HPLC were always lower than those achieved with either of the other photometric methods. The reason for this is that HPLC only determines free anthocyanins, whereas the other two methods also evaluate part of the polymers still sensitive to the effects of pH and bleaching by bisulfite. The passage of wine through a Polyclar AT column permits separation of the free anthocyanins and later specific determination by a photometric method. The values thus obtained do not differ significantly from those found with HPLC.
Consumer preference on the meat of local male duck fed with additives liquid turmeric filrate-loaded nanocapsule in ration

Consumer preference for duck meat product should be the primary consideration in production. The study aimed to investigate the effect of additional liquid turmeric filtrate (LTFN) as the phytobiotic in ration on consumer preference. The study was conducted in oneway completely randomized design. Sixty-three local male ducks aged 6-10 weeks were allotted to seven treatments, each with three repetitions to four ducks. The formulation of addition NKFCs was as follows: negative control / basal ration (BR) + LTFN 0% (P1), BR + LTFN 1% (P2), BR + LTFN 2% (P3), BR + LTFN 3% (P4), BR + LTFN 4% (P5), dan BR + LTFN 5% (P6), BR + LTFN 6% (P7). The variables of preference / organoleptic properties included color, aroma, texture, tenderness, flavor and palatability. The result of the study showed that the additional LTFN significantly affected (P<0.05) all the preference variables but did not significantly affected (P>0.05) the aroma of local male duck meat. In conclusion, 0-3% of LTFN in ration was the optimum dose to produce the quality duck meat preferred by the consumers.