Miracle-dz/UniFAR-FTUs huggingface dataset:
Energy-Efficient Full-Swing Logic Circuits With Unipolar TFTs on Flexible Substrates

Thin-film transistor (TFT) technologies often have only n-type conductivity, and therefore, the realization of CMOS-like logic gates becomes a challenge. Conventional approaches to realize logic gates in such technologies result in limited swing and excessive direct-path current. In this article, we propose logic gates that mitigate these problems. As a proof of concept, a three-to-eight decoder and a column of pixel circuits with n-type only a-Si:H TFTs have been fabricated on flexible plastic substrates. Simulation and measurement results demonstrate that the decoder maintains unity stage-to-stage gain, while its static leakage current is reduced by 85% compared with the conventional implementation. The layout area is reduced by 20% compared with prior implementations. In addition, the circuit performance under applied mechanical strain was also consistent with the theory.
COMPACT TRIPLE-BAND CPW-FED SQUARE SLOT ANTENNA WITH DUAL-POLARIZATION CHARACTERISTICS FOR WIRELESS APPLICATIONS

In this paper, a compact triple-band coplanar waveguide (CPW)-fed patch antenna with dual-polarization characteristics for wireless applications is proposed. The antenna is composed of an F-shaped patch, a grounded-C strip, a rectangular strip, and a horizontal rectangular grounded slot. The first circular polarized band is obtained by the F-shaped feed-line, and the second is achieved by the left C-shaped strip, while the right rectangle strip is responsible for the lower linearly polarized band. By inserting a slot at the right of the square slot, a notched band centered at 5.5 GHz is achieved. Both simulated and experimental results show that the antenna can generate three separate impedance bandwidths to cover frequency bands of 2.4/5.2/5.8-GHz WLAN band and X band. And the antenna is circularly polarized in the 5.8 GHz and 10 GHz band. Furthermore, the antenna structure is extremely simple and occupies small space. The proposed antenna has its applications in compact and portable devices operating at multiple frequency bands like cellular phones, Tablets, Wi-Fi devices, etc.
Cadherin switch marks germ layer formation in the diploblastic sea anemone Nematostella vectensis

Morphogenesis is a shape-building process during development of multicellular organisms. During this process the establishment and modulation of cell-cell contacts play an important role. Cadherins, the major cell adhesion molecules, form adherens junctions connecting ephithelial cells. Numerous studies in Bilateria have shown that cadherins are associated with the regulation of cell differentiation, cell shape changes, cell migration and tissue morphogenesis. To date, the role of Cadherins in non-bilaterians is unknown. Here, we study the expression and the function of two paralogous classical cadherins, cadherin1 and cadherin3, in the diploblastic animal, the sea anemone Nematostella vectensis. We show that a cadherin switch is accompanying the formation of germ layers. Using specific antibodies, we show that both cadherins are localized to adherens junctions at apical and basal positions in ectoderm and endoderm. During gastrulation, partial EMT of endodermal cells is marked by a step-wise downregulation of cadherin3 and upregulation of cadherin1. Knockdown experiments show that both cadherins are required for maintenance of tissue integrity and tissue morphogenesis. This demonstrates that cnidarians convergently use cadherins to differentially control morphogenetic events during development.
Surrogate-Assisted Quasi-Newton Enhanced Global Optimization of Antennas Based on a Heuristic Hypersphere Sampling

This communication presents a novel surrogate-assisted quasi-Newton enhanced global optimization (SA-QNEGO) algorithm. In this proposed method, the heuristic hypersphere sampling (HHS) method is used to obtain representative samples. The surrogate model is built based on the low-fidelity model. The quasi-Newton enhanced differential evolution (DE) method is designed to optimize the surrogate model. Finally, the optimal design of a high-fidelity model is obtained through a space mapping procedure. The proposed algorithm is verified through two antenna design examples including a dipole antenna with balun and an SIW cavity-backed slot antenna. The results show that the proposed algorithm finds a more accurate minimum value with less computational time than direct optimization using DE.
Improving Semantic Search in the German Legal Domain with Word Embeddings (Verbesserung der Semantischen Suche für die deutsche juristische Suche mit Word Embeddings)

This thesis investigates the use of word embeddings (word2vec, FastText, GloVe) to improve semantic search in legal documents. Word embeddings are successfully applied to find potential synonyms. Word embeddings also allow to perform query expansion for small text segments without maintaining a thesaurus which leads to better performance than traditional TF-IDF. A user study shows that a natural language search can be used as a complementary search method to traditional keyword search.
Industrialization and Thermal Performance of a New Unitized Water Flow Glazing Facade

New light envelopes for buildings need a holistic vision based on the integration of architectural design, building simulation, energy management, and the curtain wall industry. Water flow glazing (WFG)-unitized facades work as transparent and translucent facades with new features, such as heat absorption and renewable energy production. The main objective of this paper was to assess the performance of a new WFG-unitized facade as a high-performance envelope with dynamic thermal properties. Outdoor temperature, variable mass flow rate, and solar radiation were considered as transient boundary conditions at the simulation stage. The thermal performance of different WFGs was carried out using simulation tools and real data. The test facility included temperature sensors and pyranometers to validate simulation results. The dynamic thermal transmittance ranged from 1 W/m2K when the mass flow rate is stopped to 0.06 W/m2K when the mass flow rate is above 2 L/min m2. Selecting the right glazing in each orientation had an impact on energy savings, renewable energy production, and CO2 emissions. Energy savings ranged from 5.43 to 6.46 KWh/m2 day in non-renewable energy consumption, whereas the renewable primary energy production ranged from 3 to 3.42 KWh/m2 day. The CO2 emissions were reduced at a rate of 1 Kg/m2 day. The disadvantages of WFG are the high up-front cost and more demanding assembly process.
Impacts on CPUE from vessel fleet composition changes in an Australian lobster (Jasus edwardsii) fishery

ABSTRACT The Australian Victorian Western Zone rock lobster fishery is assessed using standardised catch-per-unit-effort (CPUE). Nominal CPUE declined over 1978–2009, but this underrepresents the estimated decline in abundance, and since 2009 standardised CPUE rose notably less than nominal CPUE. This study identified vessel as a key factor that explains the discrepancy between nominal and standardised CPUE. The composition of the fleet changed since 2009, under the pressure of constraining total allowable catch quotas, with vessels exiting the fishery having substantially lower estimated catchability, which increased the average catchability of the remaining fleet. New diagnostic indices were constructed to quantify discrepancies between trends in nominal and standardised CPUE that assisted in identifying periods during which both catchability and fleet composition changed.
Battery Parameter Identification Based on Wireless Power Transfer System With Rectifier Load

This article presents battery parameter identification methods considering a rectifier and battery load in wireless power transfer (WPT) systems. In order to reduce the cost and complexity brought by the wireless communication, the load parameters are usually identified through WPT primary side measurement to control the system. Compared with the conventional methods, battery state estimation and load parameter identification are achieved in this article based on only one measured WPT primary side variable. First, the WPT equivalent load is quantitatively expressed, which contains both resistance and inductance components. Then, identification methods for the battery voltage and equivalent resistance are proposed. Meanwhile, selection criteria for the primary side variables are studied to achieve a simple process and high accuracy. Furthermore, a WPT prototype is developed, and the experimental results prove the effectiveness of the equivalent load analysis and the proposed identification methods under the conditions of both battery voltage change and phase shift angle variation. Additionally, the robustness of the proposed methods is studied, considering compensation parameter changes and coil misalignment. Finally, the proposed methods are applied to battery state-of-charge estimation, and the results suggest that the battery power shortage and full charge states can be estimated with high accuracy.
Risk control of the cascading failure of multimodal transport network considering uncertain disturbance factors

The multimodal transport network in the region with complex environment and being easily affected by disturbance factors is used as the research object in our work. The characteristics of the cascading failure of such multimodal transport network were analyzed. From the perspective of network load redistribution, the risk control methods for the cascading failure of the multimodal transport network were investigated. This research aims to solve the problem that traditional load redistribution methods usually ignore the original-destination (OD) constraint and uncertain risks. The conditional value-at-risk (CVaR) was improved based on the Bureau of Public Roads (BPR) road impedance function to quantify the uncertainty of the disturbance factors. A nonlinear programming model was established with the generalized travel time as the objective function. A parallelly-running cellular ant colony algorithm was designed to solve the model. Empirical analysis was conducted on the multimodal transport network in Sichuan-Tibet region of China. The results of the empirical analysis verified the applicability of the proposed load redistribution method to such kind of regions and the effectiveness of the algorithm. This research provides theoretical basis and practical reference for the risk control of the cascading failure of multimodal transport networks in some regions.
Modélisation thermodynamique de mélanges symétriques et asymétriques de composés polaires oxygénés et/ou aromatiques par GC-SAFT

L’objectif principal de cette etude est la modelisation, aussi predictive que possible, des equilibres de phases liquide-vapeur et/ou liquide-liquide de melanges contenant des composes polaires plus ou moins complexes et d'interet pour l'industrie petroliere. Le modele utilise se base sur l’equation d’etat SAFT combinee avec la methode contribution de groupe proposee par Tamouza (GC-SAFT). GC-SAFT a ete ici etendu aux composes polaires (theorie de Gubbins et Twu modifiee par l'approche segment de Jog et Chapman) et testee systematiquement sur un grand nombre de melanges comprenant des aromatiques, alcools, esters, ethers, aldehydes, cetones et divers hydrocarbures en pure prediction (kij = lij = 0). Une nouvelle methode de contribution de groupes a egalement ete proposee pour evaluer le parametre d’interaction binaire kij dans le cas des melanges contenant un compose specifique: CO2, CH4, C2H6, H2S, N2, CO, CH4O et O2. Cette methode est basee sur la theorie London et n'utilise que des parametres de corps purs. GC-SAFT polaire a enfin ete testee sur des systemes contenant des composes multi-fonctionnels: diesters, esters aromatiques, et alkyl-phenols. Plus de 650 melanges ont ete ainsi consideres. Les ecarts moyens sur la pression de bulle sont d'environ 5% ce qui est tout a fait acceptable pour une methode predictive.
Trust and trustworthiness after negative random shocks

We investigate experimentally the effect of a negative endowment shock in a trust game to assess whether different causes of inequality have different effects on trust and trustworthiness. In our trust game there may be inequality in favor of the second mover and this may (or may not) be the result of a negative random shock (i.e., the outcome of a die roll) that decreases the endowment of the first-mover. Our findings suggest that inequality leads to differences in behavior. First-movers send more of their endowment and second-movers return more when there is inequality. However, we do not find support for the hypothesis that the cause of the inequality matters. Behavior after the occurrence of a random shock is not significantly different from the behavior when the inequality exists from the outset. Our results highlight that we have to be cautious when interpreting the effects on trust and trustworthiness of negative random shocks that occur in the field (e.g., natural disasters). Our results suggest that these effects are largely driven by the inequality caused by the shock and not by any of the additional characteristics of the shock like saliency or uncertainty.
A Novel Integrated Point Detection Based Feature Extraction Technique for Early Diagnosis of Alzheimer’s Disease from MRI Brain Images

Background: Nowadays, the number of people diagnosed with Alzheimer’s disease is increasing rapidly due to lifestyle chang-es. The average age of Alzheimer’s patients is now in the range of 65-80 which was earlier of 75 and above. It has always been challenging to the doctors for proper diagnosis and planning of appropriate treatment of this disease. The manual identification of Alzheimer’s disease from MRI images is influenced by different factors and may vary from experts depending on their expertise in the diagnosis of the disease. There is no efficient technique so far for the accurate diagnosis of Alzheimer’s disease at the very early stage to prevent the progress of the disease. Objectives: The main aim of the study is to develop an algorithm which could detect the presence of Alzheimer’s disease from the brain MRI images by extracting the brain features so that the presence of Alzheimer’s disease can be detected at the initial stage itself and appropriate treatment could be given at the right time to prevent its progression. Methods: About 6000 MRI brain images which are used for the study is obtained from ADNI Database. The MATLAB toolbox is used for design and programming. A new algorithm is developed using combined feature extraction using SURF, FAST, BRISK, Harris and Min Eigen methods followed by HOG and feature selection using Principal Component Analysis method for early prediction of various stages of Alzheimer’s disease. An analysis of the proposed method is done by combining it with k Nearest Neighbor, Decision Tree and Naïve Bayes and Random Forests classifiers and the performance parameters are evaluated. Results: The accuracy of 98.3% is obtained when K-nearest Neighbor is used for classification of Alzheimer’s disease. This is followed by Decision Tree having an accuracy of 98.13%, Naive Bayes with an accuracy of 97.31% and Random Forests having an accuracy of 97.12%. Conclusion: The proposed algorithm is found to be superior to the methods which use only one feature extraction method which is developed for the prediction and classification of Alzheimer’s disease.
Identification of the species Parastagonospora dactylidis on poaceous plants in Iran

The purpose of this study was to identify new species of Parastagonospora in association with poaceous plants in Iran. Symptomatic leaves and ears were collected from different poaceous species in the field from provinces including Fars, Khuzestan and Kohgiluyeh and Boyerahmad. In the present research, 12 isolates based on morphological characteristics and sequencing of LSU and ITS-rDNA regions were recognized as P. dactylidis on Phalaris arundinacea (fiveisolates), Bromus hordeaceus (three isolates) and Aegilops tauschii (four isolates). The species of P. dactylidis is reported from Iran for the first time and also all of the identified hosts are new host to the world.
Switched-Capacitor Boost-Buck Ladder Converters With Extended Voltage Range in Standard CMOS

This paper presents fully integrated switched-capacitor boost-buck power converters with conversion ratios 5, 7, and 1/5. Such converters operate over a voltage range extended beyond the device ratings due to a low-voltage-stress configuration, accumulation-mode NMOS capacitors, and a circuit technique for switch bootstrapping. After modeling the simple and the symmetrical ladder converters, we determined methods for assessing the device working voltages and for optimizing the sizes of capacitors and switches. The key performance parameters were compared and the losses due to non-linear parasitic capacitances were calculated. The characterization of the prototypes in a 1.8–3.3-V, 0.18- $\mu \text{m}$ CMOS process demonstrated a 15 V range, a 5.4 mW/mm2 output power density, and good correlation between measured and predicted results.
The effect of wheat cultivars on the growth performance and energy retention of broiler chickens

The nutritive values of twelve samples of different UK wheat cultivars from two different growing years were assessedA. serieso f chicken feeding experimentsw ere conducted to examine the relationships between chemical composition, grain quality and energy content of the wheat samples and the growth performance of broiler chickens when fed these wheat samples as part of nutritionally complete diets. The efficiency of utilization of apparent metabolisable energy (AMEn) of wheat samples as a source of net energy (NE) was studied. Step-wisc multiple regression analysis indicated that the content of total starch in the wheat samples and the arnylosea: mylopectin ratio in the starch were the main predictors of growth, feed intake and FCR of the broilers. Increasing starch and arnylose content in the wheat cultivar samples gave increasing weight and feed intakes. The Hagberg falling number was also significantly (P 0.05) differences in broiler growth performance. The influence of different amylose: amylopectin ratios on the physical nature of the starch granule may therefore be more important than their effects in changing the total dietary supply of those starch components. Although the net energy concentration of a wheat sample was related (p<0.05, r2=0.42) to its determined AME, there was still unexplained variation (about 60%) in the cilicicncy of utilization of AME as a source of NE. A proportion of this variation was, however, explained (p<0.05, r2=0.40) by differences in the water-extract viscosity of the wheat samples. Different ileal viscosities, due to feeding different wheat cultivars, may result in variation in the amount of intestinal fermentation of nutrients and so altcr the NENE ratio of whcat-based diets.
Machine Learning for Competitive Grain Growth Behavior in Additive Manufacturing Ti6Al4V

Metal additive manufacturing (MAM) technology is now changing the pattern of the high-end manufacturing industry, among which MAM fabricated Ti6Al4V has been far the most extensively investigated material and attracts a lot of research interests. This work established a deep neural network (DNN) to investigate the grain boundary in competitive grain growth for a bi-crystal system, the column β grains of Ti6Al4V as an example. Because of the limited number of experimental samples, the DNN is trained based on the data coming from the Geometrical Limited criterion. A series of direct energy deposition experiment using Ti6Al4V is carried out under the Taguchi experimental design. The grain boundary angles between the column grains are measured in the experiment and used to evaluate the accuracy of DNN.
Forage plant mixture type interacts with soil moisture to affect soil nutrient availability in the short term

Abstract Agricultural intensification within forage systems has reduced grassland floral diversity by promoting ryegrass (Lolium spp.), damaging soil functionality which underpins critical ecosystem services. Diverse forage mixtures may enhance environmental benefits of pastures by decreasing nutrient leaching, increasing soil carbon storage, and with legume inclusion, reduce nitrogen fertilizer input. This UK study reports on how species-rich forage mixtures affect soil carbon, phosphorus, and nitrogen at dry, medium and wet soil moisture sites, compared to ryegrass monoculture. Increasing forage mixture diversity (from 1 to 17 species) affected soil carbon at the dry site. No effect of forage mixture on soil phosphorus was found, while forage mixture and site did interact to affect soil nitrate/nitrite availability. Results suggest that forage mixtures could be used to improve soil function, but longer-term studies are needed to conclusively demonstrate environmental and production benefits of high-diversity forages.
Solvent fermentation from palm oil mill effluent using clostridium acetobutylicum in oscillatory flow bioreactor

Acetone-butanol-ethanol (ABE) fermentation from Palm Oil Mill Effluent (POME) by C. acetobutylicum NCIMB 13357 in an oscillatory flow bioreactor was investigated. Experimental works were conducted in a U-shaped stainless steel oscillatory flow bioreactor at oscillation frequency between 0.45-0.78 Hz and a constant amplitude of 12.5 mm. Fermentations were carried out for 72 hr at 35oC using palm oil mill effluent and reinforced clostridia medium as a growth medium in batch culture. Result of this investigation showed that POME is a viable media for ABE fermentation and oscillatory flow bioreactor has an excellent potential as an alternative fermentation device.
All Eyes on Me

Duo musicians exhibit a broad variety of bodily gestures, but it is unclear how soloists’ and accompanists’ movements differ and to what extent they attract observers’ visual attention. In Experiment 1, seven musical duos’ body movements were tracked while they performed two pieces in two different conditions. In a congruent condition, soloist and accompanist behaved according to their expected musical roles; in an incongruent condition, the soloist behaved as accompanist and vice versa. Results revealed that behaving as soloist, regardless of the condition, led to more, smoother, and faster head and shoulder movements over a larger area than behaving as accompanist. Moreover, accompanists in the incongruent condition moved more than soloists in the congruent condition. In Experiment 2, observers watched videos of the duo performances with and without audio, while eye movements were tracked. Observers looked longer at musicians behaving as soloists compared to musicians behaving as accompanists, independent of their respective musical role. This suggests that visual attention was allocated to the most salient visuo-kinematic cues (i.e., expressive bodily gestures) rather than the most salient musical cues (i.e., the solo part). Findings are discussed regarding auditory-motor couplings and theories of motor control as well as auditory-visual integration and attention.