Miracle-dz/UniFAR-FTUs huggingface dataset:
Controlled Population of Floquet-Bloch States via Coupling to Bose and Fermi Baths

External driving is emerging as a promising tool for exploring new phases in quantum systems. The intrinsically non-equilibrium states that result, however, are challenging to describe and control. We study the steady states of a periodically driven one-dimensional electronic system, including the effects of radiative recombination, electron-phonon interactions, and the coupling to an external fermionic reservoir. Using a kinetic equation for the populations of the Floquet eigenstates, we show that the steady-state distribution can be controlled using the momentum and energy relaxation pathways provided by the coupling to phonon and Fermi reservoirs. In order to utilize the latter, we propose to couple the system and reservoir via an energy filter which suppresses photon-assisted tunneling. Importantly, coupling to these reservoirs yields a steady state resembling a band insulator in the Floquet basis. The system exhibits incompressible behavior, while hosting a small density of excitations. We discuss transport signatures, and describe the regimes where insulating behavior is obtained. Our results give promise for realizing Floquet topological insulators.
Privacy Preserving Data Aggregation and Proficient in Mobile Sensing

Mobile sensing exploits information contributed by mobile users to create subtle inferences regarding folks and their close and therefore is often applied to environmental observation, traffic observation and attention. However, the large-scale preparation of mobile sensing applications is hindered by the shortage of incentives for users to participate and therefore the issues on doable privacy outflow. Also, they are doing not contemplate the Min combination, that is kind of helpful in mobile sensing. to deal with these issues, we have a tendency to propose Associate in Nursing economical protocol to get the total combination, that employs Associate in Nursing additive homomorphic encoding and a unique key management technique to support massive plaintext area.
Characterization of bacteria isolated from rumen substrates of goat (Capra aegagrus hircus)

Studies on microorganisms associated with rumen substrates of goat (Capra aegagrus hircus) were done through aerobic and anaerobic fermentation for a period of 12 days. Microscopic, biochemical and molecular identification were carried out. Also proximate values of the substrates over the period of fermentation were analyzed. Seven (7) aerobic bacteria species were isolated, viz.; Bacillus spp, Escherichia coli, Lactobacillus spp, Proteus spp, Pseudomonas spp, Staphylococcus spp, and Serratia spp, with Pseudomonas spp having the highest percentage of occurrence of 30.7%, followed by Bacillus spp (23.7%), followed by Lactobacillus spp, Shigella spp, Proteus spp, Staphylococcus spp, having occurrence of 7.6% each. Also, five (5) anaerobic bacteria were also isolated of which Pseudomonas spp was dominant with 33.3%, Bacillus spp and Lactobacillus spp had occurrence of 25%, Serratia spp, Escherichia spp had least occurrence of 8.3% each. There was increase in some vital proximate values due to the biodegradability nature of the rumen normal flora for the period of fermentation. As a result of this, two bacterial isolates (aerobic and anaerobic) which recorded the highest microbial load and mineral level on the 12th day were characterized by sequence analysis of 16S ribosomal RNA gene. The aerobic isolate was discovered to be 99% identical to Bacillus anthracis CGS1strain while the anaerobic isolate was identified as Pseudomonas aeruginosa N17.35strain. The importance of the characterized microbes in improving the proximate value of utilized fermented rumen content is discussed.
Modelling Evolution of Regulatory Networks in Artificial Bacteria

Studying the evolutive and adaptative mechanisms of prokaryotes is a complicated task. As these mechanisms cannot be easily studied ``in vivo'', it is necessary to consider other methods. We have therefore developed the RAevol model, a model designed to study the evolution of bacteria and their adaptation to the environment. Our model simulates the evolution of a population of artificial bacteria in a changing environment, providing us with an insight into the strategies that digital organisms develop to adapt to new conditions. In this paper we describe the principles and architecture of the model, focusing on the mechanisms of the regulatory networks of artificial organisms. Experiments were conducted on populations of artificial bacteria under conditions of stress. We study the ways in which organisms adapt to environmental changes and examine the strategies they adopt. An analysis of these adaptation strategies is presented and a brief overview was proposed concerning the patterns and topological characteristics of the evolved regulatory networks.
π Rate: A Task-oriented Monolingual Quality Estimation System

Psycholinguistically motivated natural parsing is a new, human-oriented computational language processing approach. This complex real-time model has several parallel threads to analyze the input words, phrases or sentences. One of the main threads can be the quality estimation module, which informs, controls and ﬁlters the noisy or erroneous input. To build this quality controller module we implemented the quality estimation method that is traditionally used in the ﬁeld of machine translation evaluation. To tailor the quality estimation model to the monolingual natural parsing system, we optimized the architecture with task-oriented approach. In our research, a quality estimation sys-tem is built for monolingual text input. Using this system we can provide quality indicators for the input with an accuracy of ∼ 72%. The system is created for the AnaGramma Hungarian natural parsing system, but it can be used for other languages as well. Our method can incrementally estimate the quality of input in real time while it is generated.
www.econstor.eu Paradise Postponed: Future Tense and Religiosity

This paper identifies a new source of differences in religiosity: the presence of future tense marking in language. We argue that the rewards and punishments that incentivise religious behaviour are less effective for speakers of languages that contain future tense marking. Consistent with this prediction, we show that speakers of future-tensed languages are less likely to be religious and to take up the short-term costs associated with religiosity. What is likely to drive this behaviour, according to our results, is the relatively lower appeal of the religious rewards for these individuals. Our analysis is based on within country regressions comparing individuals with identical observable characteristics who speak a different language. JEL classification: D83, Z12, Z13.
Some Environmental Factors Affecting Germination and Survival of Resting Spores of Plasmodioprora brassicae

Effect of temperature on resting spore germination of Plasmodioprora brassicae was indirectly estimated based on examining temporal change of number of inactive resting spores. Resting spore germination was the highest at reaching 55.6% and 82.5%, 24hr and 132hr after treatment, respectively. Optimum pH for resting spore germination was pH6, following pH7 and pH8, and the germination was inhibited at pH 4, and pH9. termination of resting spores was stimulated by root extracts of radish, Chinese cabbage and kidney bean, but inhibited by that of lettuce. Number of inactive resting spores was increased as temperature increases and time prolongs after temperature treatment. However, degree of inactivation of resting spores after 1hr at was similar with , but rapidly increased to 91.5% at . When root galls were submerged in water, density of inactive resting spores was increased rapidly and reached 60.3% 9 days after treatment. Flooding of infested soil resulted in 30% reduction of survived resting spores 5 months later. Among the two registered fungicides, fluazinam was better for inactivation of resting spores than flusulfamide, but both fungicides were inferior to phosphoric acid.
Shrinkage of Dutch clay soil aggregates.

Shrinkage characteristics and COLE and PLE values of undisturbed natural aggregates of clay soils from the Netherlands were measured. The course of the shrinkage process upon drying varied strongly between soils, and very often the measured characteristics diverged from the theoretical curve. Some Dutch clay soils are amongst the strongest swelling and shrinking soils in the world, with volume decreases of aggregates up to 49% between saturation and oven-dryness, and 42% between saturation and a pressure head of -16 000 cm. Potential subsidence of a Dutch field soil due to shrinkage is up to 15 cm. In some Netherlands clay soil, as a result of normal shrinkage, the aggregates remain saturated throughout the whole year; only inter-aggregate pores such as shrinkage cracks, contain air. (Abstract retrieved from CAB Abstracts by CABI’s permission)
Changes in the Physicochemical Property, Angiotensin Converting Enzyme Inhibitory Effect and Antimutagenicity During the Fermentation of Korean Traditional Soy Paste (Doenjang)

Korean traditional soy paste (Doenjang) was fermented using Meju prepared by the culture of wild microorganisms in steamed soy beans. During the fermentation, changes in the physicochemical and several functional properties were monitored. Total acidity and amino acidity increased from 0.09 to 0.96, and 2.24% to 3.28% respectively, Amylase and protease activities increased and showed the maximal level after 60 days of fermentation, which were 4.03 and 7.29 units/ml, respectively. However, both enzyme activities decreased after then. The inhibitory activities against tyrosinase and angiotensin converting enzyme increased and reached 20.57 and 38.18% respectively. Antimutagenic activities against N-methyl-N'-nitro-N-nitiosoguanidine and 4-nitro-O-phenylenediamine (NPD) increased for 90 days and roached 70.21 and 60.01% in S. enterica serovar Typhimurium TA100, respectively. Against NPD and 4-nitroquinoline-1-oxide, the antimutagenic activities also increased and reached 50.91 and 46.35% in the strain TA98, respectively.
Co-operative LEACH for efficient energy consumption in WSN

– A Wireless Sensor network has been one of the most promising sensing technologies to comfort the human living as much as possible. Routing makes a major impact in making the network running for many years, so it comes into spotlight for bringing any scope of enhanced network lifetime into ground reality. Hierarchical cluster based routing protocols are considered to be one of the most prominent protocols due to their higher energy efficiency, low cost data transmission and much flexible topology. LEACH has been experiencing various advancement in its technique to send data to the Base Station. Traditional LEACH had poor energy balancing and single hop communication had put a heavy cost for the network. In this paper, we have discussed the Co-operative LEACH protocol in the prospective of rate of energy consumption, along with that various classification of routing protocols is also being discussed.
Modulation of the JAK2/STAT3 pathway in vivo : understanding reactive astrocyte functional features and contribution to neurodegenerative diseases

Astrocyte reactivity is a hallmark of pathological conditions in the CNS including neurodegenerative diseases (ND) such as Alzheimer’s (AD) and Huntington’s (HD) diseases. Reactive astrocytes (RA) are identified by morphological changes but their functional features and influence on neurons are poorly understood, especially in ND. Therefore, we aimed at 1) identifying the signaling cascades involved in astrocyte reactivity in ND, 2) evaluating RA contribution to disease phenotype in ND models and 3) deciphering RA functional features. The JAK2/STAT3 pathway is a known trigger of astrocyte reactivity in CNS injuries. Here, we show that this pathway is a common inducer of astrocyte reactivity in AD and HD models. We developed new viral vectors to target this cascade in astrocytes and manipulate astrocyte reactivity in vivo. We used these vectors to determine the contribution of RA to neuronal dysfunction in HD mouse models. We found that RA do not primarily influence disease phenotype in HD. Last, we targeted the JAK2/STAT3 pathway in WT mice to characterize RA functional features in vivo. We show RA undergo transcriptional changes of numerous genes involved in metabolism, protein degradation pathways and immune response. Moreover, we show that astrocyte reactivity alters synaptic plasticity in the mouse hippocampus. Our results identify the JAK2/STAT3 pathway as a central cascade for astrocyte reactivity. The viral vectors developed in this project represent powerful tools to decipher the roles of RA in various ND models and to characterize RA functional features in vivo. Better understanding RA functions may lead to the identification of new therapeutic targets for ND.
Correlation of lipoprotein epoxide content to microvascular function after short‐term walnut intake (831.5)

We examined the relationship of walnut intake and walnut derived fatty acids on outcome measures of vascular health. Hypercholesterolemic postmenopausal women (n=36) were randomized to 4 weeks of 5 or 40g of daily walnut intake. Outcomes were measured after an overnight fast and 4 h after walnut intake, prior to and after the 4 week intervention. Forty g of walnut intake increased polyunsaturated fat intake, including n‐3 and n‐6 fatty acids. After 4 weeks of 40g of walnut intake, microvascular function as assessed by reactive hyperemia index (RHI) was significantly increased, while the augmentation index at a heart rate of 75, a measure of pulse wave reflection and arterial stiffness, was significantly decreased. No significant changes in vascular function were observed with 5g of walnut intake. Four weeks of 40g of walnut intake significantly reduced LDL levels, while increasing the lipoprotein content of alpha‐linolenic acid (ALA) and linoleic acid (LA). A number of ALA and LA oxylipins were increased within lipoproteins, particularly HDL. The changes in 12(13)‐epoxyoctadecamonoenoic acid (ρ = 0.78) and 15(16)‐epoxyoctadecadienoic acid (ρ=0.70) epoxides of LA and ALA, respectively, within HDL were significantly correlated to improvements in RHI. In conclusion, short‐term walnut intake increased microvascular function, possibly through changes to specific LA and ALA oxylipins within lipoproteins.
Variable Speed Drives Effect on Capacitor Banks,Their Protection and Enhancing Power Quality of the System

In this paper, various approaches have been discussed and implemented to prevent capacitor banks from being damaged due to harmonics present in electrical system. A complete electrical system has been modeled and simulated in MATLAB/Simulink, taking practical scenario of a paper and pulp industry where frequent failure of capacitor banks occurs. After modeling and simulation, passive filter design and its detuning effect for lower order harmonic mitigation of the system has been discussed to shift resonant frequency. Keywords--Variable Speed drives(VSD); harmonic mitigation; passive filter design; resonance; capacitor bank; Total Harmonic Distortion (THD)
LIFESTYLE AND FAT DISTRIBUTION IN ADOLESCENTS WITH AND WITHOUT ASTHMA ESTILO DE VIDA Y DISTRIBUCIÓN DE GRASA EN ADOLESCENTES ASMÁTICOS Y SANOS

Rev.int.med.cienc. act. fís. deporte vol. X número x ISSN: 1577-0354 2 Objectives: This study examines the effects of lifestyle on nutritional status, fat distribution and respiratory health in adolescents with or without asthma. Methods: This was a descriptive study including 207 subjects aged 13.20 ± 0.62 years. Lifestyle was assessed in terms of physical activity (PA) levels, Mediterranean diet, nutritional status, and respiratory health measured through FEV1 (z). Results: In the non-asthma group, boys were more active (p = 0.01) and showed a lower waist-to-height ratio (WHtR) than girls (p = 0.001). Participants without asthma were more active (p = 0.003), and had a better WHtR (p = 0.001) and FEV1 (p = 0.001) than those with asthma. Conclusions: In this Spanish population sample, non-asthmatic adolescents were more active and showed a better nutritional status, fat distribution and respiratory health than their peers with asthma.
Transposition Driven Genomic Heterogeneity in the Drosophila Brain: A Dissertation

In the Drosophila brain, memories are processed and stored in two mirrorsymmetrical structures composed of approximately 5,000 neurons called Mushroom Bodies (MB). Depending on their axonal extensions, neurons in the MB can be further classified into three different subgroups: αβ, α’β’ and γ. In addition to the morphological differences between these groups of neurons, there is evidence of functional differences too. For example, it has been previously shown that while neurotransmission from α’β’ neurons is required for consolidation of olfactory memory, output from αβ neurons is required for its later retrieval. To gain insight into the functional properties of these discrete neurons we analyzed whether they were different at the level of gene expression. We generated an intersectional genetic approach to exclusively label each population of neurons and permit their purification. Comparing expression profiles, revealed a large number of potentially interesting molecular differences between the populations. We focused on the finding that the MB αβ neurons, which are the presumed storage site for transcription-dependent long-term memory, express high levels of mRNA for transposable elements and histones suggesting that these neurons likely possess unique genomic characteristics. For decades, transposable elements (TE) were considered to be merely “selfish” DNA elements inserted at random in the genome and that they their sole function was to self-replicate. However, new studies have started to arise that indicate TE contribute more than just “junk” DNA to the genome. Although it is widely believed that mobilization of TE destabilize the genome by insertional mutagenesis, deletions and rearrangements of genes, some rearrangements might be advantageous for the organism. TE mobilization has recently been documented to occur in some somatic cells, including in neuronal precursor cells (NPCs). Moreover, mobilization in NPCs seems to favor insertions within neuronal expressed genes and in one case the insertion elevated the expression. During the last decade, the discovery of the small RNA pathways that suppress the expression and mobilization of TE throughout the animal have helped to uncover new functions that TE play. In this work, we demonstrate that proteins of the PIWI-associated RNA pathway that control TE expression in the germline are also required to suppress TE expression in the adult fly brain. Moreover, we find that they are differentially expressed in subsets of MB neurons, being under represented in the αβ neurons. This finding suggests that the αβ neurons tolerate TE mobilization. Lastly, we demonstrate by sequencing αβ neuron DNA that TE are mobile and we identify >200 de novo insertions into neurally expressed genes. We conclude that this TE generated mosaicism, likely contributes a new level of neuronal diversity making, in theory, each αβ neuron genetically different. In principle the stochastic nature of this process could also render every fly an individual.
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network

Verifying the correctness of a textual statement requires not only semantic reasoning about the meaning of words, but also symbolic reasoning about logical operations like count, superlative, aggregation, etc. In this work, we propose LogicalFactChecker, a neural network approach capable of leveraging logical operations for fact checking. It achieves the state-of-the-art performance on TABFACT, a large-scale, benchmark dataset built for verifying a textual statement with semi-structured tables. This is achieved by a graph module network built upon the Transformer-based architecture. With a textual statement and a table as the input, LogicalFactChecker automatically derives a program (a.k.a. logical form) of the statement in a semantic parsing manner. A heterogeneous graph is then constructed to capture not only the structures of the table and the program, but also the connections between inputs with different modalities. Such a graph reveals the related contexts of each word in the statement, the table and the program. The graph is used to obtain graph-enhanced contextual representations of words in Transformer-based architecture. After that, a program-driven module network is further introduced to exploit the hierarchical structure of the program, where semantic compositionality is dynamically modeled along the program structure with a set of function-specific modules. Ablation experiments suggest that both the heterogeneous graph and the module network are important to obtain strong results.
Automatic Cross-Replica Sharding of Weight Update in Data-Parallel Training

In data-parallel synchronous training of deep neural networks, different devices (replicas) run the same program with different partitions of the training batch, but weight update computation is repeated on all replicas, because the weights do not have a batch dimension to partition. This can be a bottleneck for performance and scalability in typical language models with large weights, and models with small per-replica batch size which is typical in large-scale training. This paper presents an approach to automatically shard the weight update computation across replicas with efficient communication primitives and data formatting, using static analysis and transformations on the training computation graph. We show this technique achieves substantial speedups on typical image and language models on Cloud TPUs, requiring no change to model code. This technique helps close the gap between traditionally expensive (ADAM) and cheap (SGD) optimizers, as they will only take a small part of training step time and have similar peak memory usage. It helped us to achieve state-of-the-art training performance in Google's MLPerf 0.6 submission.
Attention Prior for Real Image Restoration

Deep convolutional neural networks perform better on images containing spatially invariant degradations, also known as synthetic degradations; however, their performance is limited on real-degraded photographs and requires multiple-stage network modeling. To advance the practicability of restoration algorithms, this paper proposes a novel single-stage blind real image restoration network (R$^2$Net) by employing a modular architecture. We use a residual on the residual structure to ease the flow of low-frequency information and apply feature attention to exploit the channel dependencies. Furthermore, the evaluation in terms of quantitative metrics and visual quality for four restoration tasks i.e. Denoising, Super-resolution, Raindrop Removal, and JPEG Compression on 11 real degraded datasets against more than 30 state-of-the-art algorithms demonstrate the superiority of our R$^2$Net. We also present the comparison on three synthetically generated degraded datasets for denoising to showcase the capability of our method on synthetics denoising. The codes, trained models, and results are available on this https URL.
Event Extraction by Answering (Almost) Natural Questions

The problem of event extraction requires detecting the event trigger and extracting its corresponding arguments. Existing work in event argument extraction typically relies heavily on entity recognition as a preprocessing/concurrent step, causing the well-known problem of error propagation. To avoid this issue, we introduce a new paradigm for event extraction by formulating it as a question answering (QA) task, which extracts the event arguments in an end-to-end manner. Empirical results demonstrate that our framework outperforms prior methods substantially; in addition, it is capable of extracting event arguments for roles not seen at training time (zero-shot learning setting).