Miracle-dz/UniFAR-FTUs huggingface dataset:
About the origin oC the northern hemisphere

We present here a new hypothesis that relates the timing of global plate tectonics and the formation of the marginal basins, island ares, spreading ridges and arc-shaped mountain belts located at the northern hemisphere Pacific ocean. According to our model, the ellipsoidal-shaped Paleogene basins of South China Sea, Parece-Vela, Shikoku, Japan, Kuril and even North American Cordillera (the Paleogene extensional phase) formed due to the termination of oceanic subduction beneath the India-Eurasia collision zone. This "lock-up" produced a net increase in horizontal stress trasmitted tbroughout the entire northern hemisphere Pacific ocean, which resulted in widespread extension adjacent to the eastern margin of Eurasia and western margin of North America. Both margins are linked by a maximum circ1e parallel to the Indian-Eurasian direction of convergence.
Investigation of the Two-Dimensional Harmonically Confined Bose Gase

We begin by the introduction of 2D systems and their properties in the general sense. Focus then turns to the interacting trapped 2D regime in the context of the ultra-cold Bose gas. Details for the ideal cases and interacting homogenous case are investigated, and these results are discussed in terms of their possible implications to the interacting trapped system. We pose the question of the behaviour of the BKT transition. We outline the motivation and numerical implementation of classical field simulations, followed by a discussion of the classical field energy cutoff. We present numerical results that show how the properties of macroscopic parameters vary across the BKT transition, these parameters are momentum bimodality, vortex distribution and peak position density. Acknowledgements Many thanks go to my supervisor Dr Blair Blakie, who is exceptional at explaining difficult concepts and has taught me so much. Also, thanks to those who live in room 509 for the awesome year.
Revista de Toxicología 24 (1) 2007

Acrylamide formation in foods: A review Acrylamide, “probable carcinogenic for humans”, mutagenic type 2 and toxic for reproduction type 3 for the European Union, produces neurotoxicity after acute expositions. Although recommendations are given to minimize the exposition levels to this compound, smoking and occupational and dietary exposures are important acrylamide sources. Among foods, those rich in carbohydrates and those cooked at high temperatures present the highest acrylamide concentrations. The present revision points out the acrylamide formation in foods, its toxic effects and the analytical methods used in its determination. Moreover, data are given about acrylamide levels in foods and dietary intakes in different populations.
Gene expression profiling of HepG2 cells after treatment with black tea polyphenols

This study aimed to determine the effects of black tea polyphenols on gene expression in hepatocellular cancer cells. The total RNA from HepG2 hepatocellular cancer cells treated with black tea polyphenols was subjected to Human 14K cDNA microarray analysis. Real-time PCR and Western blot analysis were conducted to verify microarray data. Black tea polyphenols treatment at the dose of 20 mg/L, 40 mg/L or 80 mg/L for one to three days inhibited the growth of HepG2 cells in a dose and time dependent manner. A total of 48 genes showed more than two-fold change after black tea polyphenols treatment, including 17 upregulated genes and 31 downregulated genes, and they were involved in the regulation of cell growth, cell cycle, apoptosis, signaling, angiogenesis, tumor invasion and metastasis. Real-time PCR analysis of the selected genes showed that their mRNA expression changes were consistent with the microarray data. In addition, Western blot analysis of the selected genes showed that their protein expression changes were consistent with mRNA expression. In conclusion, gene expression profiles provide comprehensive molecular mechanisms by which black tea polyphenols exerts growth inhibition effects on cancer cells. The novel molecular targets identified in this study may be further exploited as therapeutic strategies for hepatocellular cancer.
Relationship among MJO, westerly wind bursts, tropical cyclones and mid-latitude baroclinic waves observed in an idealistic aqua-planet NICAM simulation

理想化された水温分布の強制のもとでNICAMによる数値実験の結果を用いて、解析を行った。 南北にハドレー循 環、東西にウォーカー循環を強制するように、水温分布を与えた。 熱帯域ではマッデン・ジュリアン振動(MJO) のような東進するじょう乱が見られ、熱帯低気圧(TC)もしばしば発生した。 そこでは、少なくとも二つの方法(熱 源によるロスビー応答とTC)によって強い西風域(西風バースト:WWB)が形成された。 また、TC発生に関して WWBと中緯度帯に現れる傾圧不安定波による高気圧性循環との関係を調べた。 その結果、多くの場合、まず高気圧 性循環がWWBに近づいて、それから弱い低気圧性の渦が現れ、中にはTCまで発達することが分かった。 ここで与 えた東西方向のSSTの大きさや中緯度帯の傾圧不安定波が果たしてTCを形成するのかについて議論した。 キーワード:NICAM, マッデン・ジュリアン振動、西風バースト、熱帯低気圧、傾圧不安定波 地球環境研究,Vol.22(2020)
Body Dysmorphic Disorders Among Adults Attending Plastic Surgery Hospitals

Background: Body dysmorphic disorder is characterized by persistent preoccupations about defects or flaws in one's appearance. The defects or flaws appear slight or are not observable to others. Objectives:Estimation of the prevalence and determinants of body dysmorphic disorder among patients attending plastic surgery hospitals. Methodology: A cross-sectional study was conducted in two plastic surgery hospitals in Baghdad governorate. Participants were interviewed and data filled using a questionnaire for sociodemographic variables, and body dysmorphic disorder questionnaire. Results: A total of 100 plastic surgery hospital attendees were approached. Female (70%), male (30%), age was 28.26±8.48 years, 56% were single, 37% were married, 70% were unemployed and 30% were employed. The prevalence of body dysmorphic disorder was 60%. Significant statistical association of body dysmorphic disorder were; gender (P=0.026), marital status (P=0.001), occupation (P=0.008). Conclusion: Body dysmorphic disorder was high prevalent among attendees to plastic surgery hospitals. Preoperative psychiatric assessment is mandatory.
EVALUATION OF A MODIFIED MATRIX AND THE SYNTHESIS OF THERMALLY REVERSIBLE SELF-HEALING MATRIX POLYMERS

A modified epoxy matrix (with dissolved linear polymer) has been evaluated for thermal healing performance. The dissolved polymer healing agent is thought to dissolve through a matrix to a fracture surface at 140 oC, this has been visualized with scanning electron microscopy (SEM). Furthermore the healing ability of the samples cast from the modified matrix resin have shown to significantly reduce in performance on multiple healing cycles, in particular with high molecular weight healing agents. This is suggested to be due to the reduction in free volume within the matrix after thermal aging. In order to address this a new healing agent is required and the first precursor to a variety of thermally repairable cross-linked network polymers has been synthesized
WEED CHEMICAL CONTROL IN THE WINTER WHEAT PLANTING AFTER NON FALLOW PREDECESSORS IN THE NORTHERN STEPPE OF UKRAINE

The use of alfalfa as predecessors for winter wheat leads to the increase of weed infestation of its cultivation in the result of frequent cutting out of the culture during three years of use. It was shown that of winter wheat yields have had a higher level of weed infestation after non fallow predecessors with inadequate coverage of soil surface. Therefore they demand high-priority protection from weed sprouts. None of the studied herbicides was able to provide reliable protection of wheat crops from bromes (Bromus tectorum L.), as well as a sticky weed (Galium aparine L.). The tank mix of herbicides (Esteron – 0.8 l/ha + Puma Super – 0.8 l/ha) provides a reliable protection for winter wheat crops from many types of short-lasting weeds including the cattail grass (Setaria pumila L.), water grass (Echinochloa crusgalli L.). A significant suppressive effect on cereal weeds Super was registered for the herbicide Ellay.
Genetic Diversity Analysis of 53 Indonesian Rice Genotypes using 6K Single Nucleotide Polymorphism Markers

Indonesia is rich in rice genetic resources, however, only a small number has been used in variety improvement programs. This study aimed to determine the genetic diversity of Indonesian rice varieties using 6K SNP markers. The study was conducted at ICABIOGRAD for DNA isolation and IRRI for SNP marker analysis. Genetic materials were 53 rice genotypes consisting of 49 varieties and 4 check genotypes. SNP markers used were 6K loci. Results showed that among the markers analyzed, only 4,606 SNPs (76.77%) were successfully read. The SNP markers covered all twelve rice chromosomes of 945,178.27 bp. The most common allele observed was GG, whereas the least allele was TG. Dendrograms of the 53 rice varieties analyzed with 4,606 SNPs demonstrated several small groups containing genotypic mixtures between indica and japonica rice, and no groups were found to contain firmly indica or japonica type. Structure analysis (K = 2) with value of 0.8 showed that the 53 rice varieties were divided into several groups and each group consisted of 4 japonica, 2 tropical japonica, 46 indica, and 1 aus rice type, respectively. IR64 and Ciherang proved to have an indica genome, while Rojolele has japonica one. Dupa and Hawara Bunar, usually grouped into tropical japonica rice, were classified as indica type, and Hawara Bunar has perfectly 100% indica type. The results of this study indicated that rice classification (indica-japonica) which is usually classified based only on morphological characters, e.g. grain and leaf shapes, is not enough and classification based on SNP markers should be considered for that purpose.
Discrepancy Bounds for a Class of Negatively Dependent Random Points Including Latin Hypercube Samples

We introduce a class of γ-negatively dependent random samples. We prove that this class includes, apart from Monte Carlo samples, in particular Latin hypercube samples and Latin hypercube samples padded by Monte Carlo. For a γ-negatively dependent N -point sample in dimension d we provide probabilistic upper bounds for its star discrepancy with explicitly stated dependence on N , d, and γ. These bounds generalize the probabilistic bounds for Monte Carlo samples from [Heinrich et al., Acta Arith. 96 (2001), 279–302] and [C. Aistleitner, J. Complexity 27 (2011), 531–540], and they are optimal for Monte Carlo and Latin hypercube samples. In the special case of Monte Carlo samples the constants that appear in our bounds improve substantially on the constants presented in the latter paper and in [C. Aistleitner, M. T. Hofer, Math. Comp. 83 (2014), 1373–1381].
Systematic identification of human SNPs affecting regulatory element activity

Most of the millions of single-nucleotide polymorphisms (SNPs) in the human genome are non-coding, and many overlap with putative regulatory elements. Genome-wide association studies have linked many of these SNPs to human traits or to gene expression levels, but rarely with sufficient resolution to identify the causal SNPs. Functional screens based on reporter assays have previously been of insufficient throughput to test the vast space of SNPs for possible effects on enhancer and promoter activity. Here, we have leveraged the throughput of the SuRE reporter technology to survey a total of 5.9 million SNPs, including 57% of the known common SNPs. We identified more than 30 thousand SNPs that alter the activity of putative regulatory elements, often in a cell-type specific manner. These data indicate that a large proportion of human non-coding SNPs may affect gene regulation. Integration of these SuRE data with genome-wide association studies may help pinpoint SNPs that underlie human traits.
DRDC Toronto CR 2008-018

This report summarizes the work completed in contract W7711-057945/A. The purpose of this contract was to conduct an experimental and theoretical investigation of the enhancement of warning signal detection with multimodal warning signals. The study involved developing from ground up a custom designed software/hardware platform that would permit the precise control of the timing between the audio and the visual signal. Three experiments were then conducted with this platform to evaluate issues of temporal synchrony and detection enhancement of co-modulated sinusoidally amplitude modulated audiovisual signals. The enhancements found with the use of audiovisual signals were small (1-3 dB of equivalent signal strength gain) but statistically significant. A theoretical and computation model was proposed to help better understand the underlying neural mechanism behind the enhancement. The model permitted us to explore the optimal settings of an audiovisual signal to maximize the benefit of the enhancement in detection.
Effects of organic and inorganic fertilization on yield and quality of processing tomato (Lycopersicon esculentum Mill.)

Abstract The demand for organically grown products is increasing because many people are concerned about the environment and believe that organic products are healthier than conventional ones. Some studies have shown that organically produced tomato fruits contain higher levels of antioxidants, polyphenols and carotenoids than those produced conventionally. The objective of this study was to evaluate the influence of organic and inorganic fertilization on agronomic and quality characteristics of the processing tomato. The 2-year experiment was laid out in a randomized complete block design, with three replications and three fertilization treatments (untreated, compost and inorganic fertilizer). The results showed that the highest fruit number per plant (98.5), average fruit weight (63.6 g) and fruit yield (168.0 t ha−1) were obtained under inorganic fertilization. The highest total soluble solids (4.39 °Brix) and total soluble solids to titratable acidity ratio (17.4), L* (43.4) and a* (35.4) values, as well as the highest lycopene content (88.5 mg kg−1 f.w). were achieved through the application of organic fertilizer. Significantly higher total soluble solids and total soluble solids to titratable acidity ratio in organically grown tomatoes are particularly important to the processing tomato industry. Finally, the highest lycopene content produced under organic fertilization as well as the non-significant difference between the organic and conventional tomatoes in terms of lycopene yield make organic processing tomatoes suitable for lycopene production.
Semantic similarity-based approach to enhance supervised classification learning accuracy

This brief communication discusses the usefulness of semantic similarity measures for the evaluation and amelioration of the accuracy of supervised classification learning. It proposes a semantic similarity-based method to enhance the choice of adequate labels for the classification algorithm as well as two metrics (SS-Score and TD-Score) and a curve (SA-Curve) that can be coupled to statistical evaluation measures of supervised classification learning to take into consideration the impact of the semantic aspect of the labels on the classification accuracy.
Distributed Precoding Using Local CSIT for MU-MIMO Heterogeneous Cellular Networks

Cell densification is a key driver to increase area spectral efficiencies in multi-antenna cellular systems. As increasing the densities of base stations (BSs) and users that share the same spectrum, however, both inter-user-interference (IUI) and inter-cell interference (ICI) problems give rise to a significant loss in spectral efficiencies in such systems. To resolve this problem under the constraint of local channel state information per BS, in this paper, we present a novel noncooperative multi-user multiple-input multiple-output (MIMO) precoding technique, called signal-to-interference-plus-leakage-plus-noise-ratio (SILNR) maximization precoding. The key innovation of our distributed precoding method is to maximize the product of SILNRs of users per cell using local channel state information at the transmitter (CSIT). We show that our precoding technique only using local CSIT can asymptotically achieve the multi-cell cooperative bound attained by cooperative precoding using global CSIT in some cases. We also present a precoding algorithm that is robust to CSIT errors in multi-cell scenarios. By multi-cell system-level simulations, we demonstrate that our distributed precoding technique outperforms all existing noncooperative precoding methods considerably and can also achieve the multi-cell bound very tightly even with not-so-many antennas at BSs.
A Curious New Result of Resolution Strategies in Negation-Limited Inverters Problem

Generally, negation-limited inverters problem is known as a puzzle of constructing an inverter with AND gates and OR gates and a few inverters. In this paper, we introduce a curious new result about the effectiveness of two powerful ATP (Automated Theorem Proving) strategies on tackling negation limited inverter problem. Two resolution strategies are UR (Unit Resulting) resolution and hyper-resolution. In experiment, we come two kinds of automated circuit construction: 3 input/output inverters and 4 input/output BCD Counter Circuit. Both circuits are constructed with a few limited inverters. Curiously, it has been turned out that UR resolution is drastically faster than hyper-resolution in the measurement of the size of SOS (Set of Support). Besides, we discuss the syntactic and semantic criteria which might causes considerable difference of computation cost between UR resolution and hyper-resolution.
Understanding Pre-trained BERT for Aspect-based Sentiment Analysis

This paper analyzes the pre-trained hidden representations learned from reviews on BERT for tasks in aspect-based sentiment analysis (ABSA). Our work is motivated by the recent progress in BERT-based language models for ABSA. However, it is not clear how the general proxy task of (masked) language model trained on unlabeled corpus without annotations of aspects or opinions can provide important features for downstream tasks in ABSA. By leveraging the annotated datasets in ABSA, we investigate both the attentions and the learned representations of BERT pre-trained on reviews. We found that BERT uses very few self-attention heads to encode context words (such as prepositions or pronouns that indicating an aspect) and opinion words for an aspect. Most features in the representation of an aspect are dedicated to the fine-grained semantics of the domain (or product category) and the aspect itself, instead of carrying summarized opinions from its context. We hope this investigation can help future research in improving self-supervised learning, unsupervised learning and fine-tuning for ABSA. The pre-trained model and code can be found at https://github.com/howardhsu/BERT-for-RRC-ABSA.
Bracketing Encodings for 2-Planar Dependency Parsing

We present a bracketing-based encoding that can be used to represent any 2-planar dependency tree over a sentence of length n as a sequence of n labels, hence providing almost total coverage of crossing arcs in sequence labeling parsing. First, we show that existing bracketing encodings for parsing as labeling can only handle a very mild extension of projective trees. Second, we overcome this limitation by taking into account the well-known property of 2-planarity, which is present in the vast majority of dependency syntactic structures in treebanks, i.e., the arcs of a dependency tree can be split into two planes such that arcs in a given plane do not cross. We take advantage of this property to design a method that balances the brackets and that encodes the arcs belonging to each of those planes, allowing for almost unrestricted non-projectivity (∼99.9% coverage) in sequence labeling parsing. The experiments show that our linearizations improve over the accuracy of the original bracketing encoding in highly non-projective treebanks (on average by 0.4 LAS), while achieving a similar speed. Also, they are especially suitable when PoS tags are not used as input parameters to the models.
Reliability of Power System Frequency on Times-Stamping Digital Recordings

Power system frequency could be captured by digital recordings and extracted to compare with a reference database for forensic time-stamp verification. It is known as the electric network frequency (ENF) criterion, enabled by the properties of random fluctuation and intra-grid consistency. In essence, this is a task of matching a short random sequence within a long reference, and the reliability of this criterion is mainly concerned with whether this match could be unique and correct. In this paper, we comprehensively analyze the factors affecting the reliability of ENF matching, including length of test recording, length of reference, temporal resolution, and signal-to-noise ratio (SNR). For synthetic analysis, we incorporate the first-order autoregressive (AR) ENF model and propose an efficient time-frequency domain (TFD) noisy ENF synthesis method. Then, the reliability analysis schemes for both synthetic and real-world data are respectively proposed. Through a comprehensive study we reveal that while the SNR is an important external factor to determine whether time-stamp verification is viable, the length of test recording is the most important inherent factor, followed by the length of reference. However, the temporal resolution has little impact on the matching process.
Genetic diversity for cold tolerance at seedling stage in rice (Oryza sativa L.) under Egyptian conditions

Breeding rice for cold tolerance is one of the important ways for climate change facing, which attacks a large amount of the cultivated areas all over the world countries. This study was conducted at Sakha during two seasons 2015 and 2016 to evaluate some rice accessions belong to different rice types for the ability of cold tolerance in seedling stage at early growing season under Egyptian conditions. The 40 rice accessions used in this study were evaluated at two early dates of sowing 1st March and 1st April as a cold condition, in addition to control sowing date at 1st May. Twenty six SSR markers related to cold tolerance at seedling stage were used in order to determine the genetic diversity and polymorphism among the studied genotypes. Low temperature degree condition significantly decreased the mean values of the all studied traits for all accessions compared with the control condition. Significant differences were observed among the studied genotypes under both different growing conditions. Japonica varieties are found to be more tolerant than Indica varieties. SSR markers RM265, RM324, RM163 and RM270 showed highly polymorphism among the studied rice accessions and more over differentiate them to different groups based on their ability for cold tolerance. Giza 177, Sakha 102 and Sakha 104 out of the Egyptian rice genotypes showed a good performance at low temperature degrees condition in early growing season. The genotypes CT6749-36-7-2-M-M, Milyang 80, PSRM1-17-4B-13, Ryong Sung 25 can be used as a donor for cold tolerance in rice breeding.
the Connection between Cryptography and Differential Privacy: a Survey

Due to the successful application of data analysis technology in many fields, various institutions have accumulated a large amount of data to improve their services. As the speed of data collection has increased dramatically over the last few years, an increasing number of users are growing concerned about their personal information. Therefore, privacy preservation has become an urgent problem to be solved. The differential privacy as a strong privacy preservation tool has attracted significant attention. In this survey, we focus on the connection between differential privacy mechanisms and cryptography methods in terms of utility improvement. In specific, we firstly analyse the utility amplification effect of anonymous communication. Then, we give the hardness results about what is impossible to achieve for differential privacy mechanisms' utility from the view of cryptography. We also investigate how to improve utility by combining differential privacy mechanisms with homomorphic encryption schemes. The differential privacy develops from cryptography and still benefits from the progress of cryptography. In order to summarize the state-of-the-art and to benefit future research, we are motivated to provide this survey.