Miracle-dz/UniFAR-FTUs huggingface dataset:
Arithmetic Statistics for Elliptic Curves

The Mordell-Weil theorem states that any elliptic curve E defined over a number fieldK is a finitely generated abelian group, so that E (K) is isomorphic to a direct product of a finite torsion subgroup and a free abelian group of finite rank. Over the rationals, while the torsion subgroup is fully understood from a result by Mazur, the Mordell-Weil rank is much less understood. For instance, it remains an open question if it is bounded above, with a historical belief that it is not, due to much empirical evidence. A recent probabilistic model proposed by Poonen et al provides theoretical evidence to refute this claim, namely that all but finitely many rational elliptic curves have rank at most 21. Their proposed heuristic is based on modelling Tate-Shafarevich groups using random alternating matrices, and has its grounds in a theorem that a p-Selmer group is almost always the intersection of two Lagrangian direct summands of a metabolic quadratic Z/p-module of infinite rank, a consequence of standard arithmetic duality theorems. This project aims to serve as an introduction to the style of arguments in arithmetic statistics by providing a full proof of this result, as well as verifying desired properties of a heuristic that models this result. As a consequence, important predictions on Selmer groups, Tate-Shafarevich groups, and Mordell-Weil ranks can be made, including the conjecture that n-Selmer groups have average size equal to the sum of divisors of n, as well as the folklore conjecture that there are finitely many rational elliptic curves of rank greater than 21.
Perception of gender equity and work-family balance in workers belonging to public and private companies in Chile Percepción de equidad de género y equilibrio trabajo-familia en trabajadores

It is analyzed whether there are significant differences in the Perception of Gender Equity and Work-Family Balance in workers belonging to public and private companies. The instruments Work-Family Balance (Moreno, Sanz, Rodríguez & Geurts, 2009) and Gender Equity Perception (Gómez & Jiménez, 2015) were applied to 300 workers from public and private companies. It is observed that there are statistically significant differences between workers belonging to public and private companies in the levels of Gender Equity Perception and Work-Family Balance, where workers in private companies have a higher Gender Equity Perception. Likewise, they have a higher perception of Work-Family Balance. There are significant and positive correlations between the perception of gender equity and work-family balance. It is concluded that the companies present differences in their actions in favor of establishing good reconciliation practices that have an impact on the perception of equity.
The effects of exogenous methyl jasmonate on FaNES1 gene expression and the biosynthesis of volatile terpenes in strawberry (Fragaria × ananassa Duch.) fruit

Summary The volatile terpenoid profiles of cultivated strawberry (Fragaria × ananassa Duch.) fruit are dominated by the monoterpene, linalool, and the sesquiterpene, nerolidol. These terpenoids, generated by the product of the F. × ananassa nerolidol synthase1 (FaNES1) gene, are important for the aroma of strawberry fruit. FaNES1 gene transcript levels and emissions of linalool and nerolidol were measured at various developmental stages in two strawberry cultivars (‘Yan Xiang’ and ‘Shu Xiang’). Up-regulation of FaNES1 gene expression increased the emission of both terpenoids, depending on the degree of fruit ripeness. Terpenoid emissions were highest in red-mature (R) fruit. In addition, exogenous application of methyl jasmonate (MeJA) resulted in cultivar-dependent changes in the level of FaNES1 gene expression and terpenoid emissions. ‘Yan Xiang’ was sensitive to high concentrations of MeJA (i.e., 10.0 or 100.0 µM), while ‘Shu Xiang’ responded to low MeJA concentrations (1.0 µM). These results suggest that there might be a positive relationship between the emission of volatile aroma terpenoids and levels of FaNES1 gene transcripts. Furthermore, the effect of MeJA on increasing the emission of volatiles might be mediated by the induction of FaNES1 gene expression.
Sources of income differences across Chinese provinces during the reform period: a development accounting exercise

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Sources of income differences across Chinese provinces during the reform period: a development accounting exercise Rui Hao
Secured Biometric Identification: Hybrid Fusion of Fingerprint and Finger Veins

— The goal of this work is the improvement of the performance of a multimodal biometric identification system based on fingerprints and finger vein recognition. This system has to authenticate the person identity using features extracted from his fingerprints and finger veins by multimodal fusion. It is already proved that multimodal fusion improves the performance of biometric recognition, basically the fusion at feature level and score level. However, both of them showed some limits and in order to enhance the overall performance, a new fusion method has been proposed in this work; it consists on using both features and scores fusion at the same time. The main contribution of investigation this technique of fusion is the reduction of the template size after fusion without influencing the overall performance of recognition. Experiments were performed on a real multimodal database SDUMLA-HMT and obtained results showed that as expected multimodal fusion strategies achieved the best performances versus uni-modal ones, and the fusion at feature level was better than fusion at score level in recognition rate (100%, 95.54% respectively) but using more amounts of data for identification. The proposed hybrid fusion strategy has overcome this limit and clearly preserved the best performance (100% as recognition rate) and in the same time it has reduced the proportion of essential data necessary for identification.
The effectiveness of RENAL nephrometry score in ablated renal tumors via radiofrequency ablation or cryoablation

Background/aim This study aimed to evaluate the clinical efficacy of radiofrequency ablation (RFA) and cryotherapy and to scrutinize the therapeutic success of the RENAL (radius, exophytic/endophytic, nearness to collecting system, anterior/posterior, and location) nephrometry score in terms of possible complications and the predictive status of oncological results. Materials and methods Forty-five patients with biopsy-proven renal cell carcinomas (32 males, 13 females) treated with RFA and cryotherapy were included. Patients were 22–90 years old (average: 59.2 years). Statistical analyses were performed using SPSS for Windows. Results A total of 79 lesions with dimensions varying between 0.9 and 4.5 cm (average: 2.2 cm) were ablated. Complete ablation was achieved for 72 (91.1%) lesions. Six repeat RFA sessions were applied for 4 (5%) lesions with residue/recurrence. The average RENAL nephrometry scores of lesions that underwent complete ablation and those that developed residue/recurrence were 6.3 and 7.7, respectively. The average recurrence-free survival time was 34.8 months (range: 3–55 months), while it was 44.6 months (range: 6–55 months) for cryotherapy and 28.6 months (range: 3–50 months) for RFA. Conclusions Ablative therapies are minimally invasive and effective methods for treating small renal tumors. RENAL nephrometry scoring is a valuable system for standardizing renal tumors and evaluating the success of ablative therapies, possible complications, and oncological results.
Storage of fiber-guided light in a nanofiber-trapped ensemble of cold cesium atoms

To store a classical light pulse is an important capability for the realization of all-optical signal processing schemes. Optical buffers that allow storing optical pulses can be extended to work as optical quantum memories, in which quantum states of light can be stored. Those optical quantum memories are crucial elements of large-scale quantum optical networks. The storage of light has been achieved with several systems, such as cold or ultracold atoms. Despite this, the realization of efficient and long-lived fiber-integrated optical memories is still subject to active research. In this thesis, I report on the progress towards a novel implementation of an optical quantum memory. Here, a nanofiber-based experimental platform for trapping and optically interfacing laser-cooled Cesium atoms is used, where the nanofiber is realized as the waist of a tapered optical fiber. Despite the atoms being trapped close to the nanofiber surface, the system offers a long ground state coherence time. This, in combination with the good coupling of the trapped atoms to fiber-guided light fields, renders this system a promising candidate for the realization of a fiber-coupled quantum memory. I demonstrate the realization of an optical memory for weak optical pulses, using the effect of electromagnetically induced transparency. This effect allows to drastically reduce the group velocity of a fiber-coupled light pulse when propagating through the medium. Eventually, the light pulse can be brought to a halt. In this context, I experimentally show storage and retrieval of fiber-guided light at the single-photon level, while featuring a competitive characteristic memory lifetime. The presented results are an important step towards realizing fully fiber-based quantum networks. For further improvement of the lifetime of the presented optical memory, it is of advantage to gain better control over the trapped atom’s motional degree of freedom. One possibility to achieve this goal utilizes the trapping light field-induced fictitious magnetic fields. It allows the coupling between the external motional state and the internal hyperfine state of the atom. As shown in this thesis, this coupling can be used to implement microwave sideband cooling, allowing the preparation of the majority of the nanofiber-coupled Cesium atoms in the motional ground state. Furthermore, the coupling can be utilized as a tool to probe specific parameters of the trapped atoms, such as the trap frequency, the mean motional excitation number or the heating rate.
Phase II enzyme genotypes and their toxicologically relevant phenotypes.

ECNIS is a Network of Excellence within the European Union’s Sixth Framework Programme, Priority 5: Food Quality and Safety. It brings together some of the best European research groups in a concerted effort to achieve improved understanding of the environmental causes of cancer, of the potential of diet to prevent cancer, and of the ways by which heredity can affect individual susceptibility to carcinogens, with the ultimate aim of reducing the cancer burden in Europe. ECNIS is coordinated by Prof. Konrad Rydzynski, The Nofer Institute of Occupational Medicine, św. Teresy 8, 91‑348 Łodź, Poland This review has been prepared as part of ECNIS Work Package 7: Development and Validation of Biomarkers of Individual Susceptibility.
Succession of Abundance and Community Structure of Ammonia-Oxidizing Archaea in Paddy Soil During Flooding

Ammonia-oxidizing archaea(AOA)play an important role in ammonium oxidation in soil ecosystem, and predominate among ammonia-oxidizing prokaryotes in paddy soils. In this study, dynamic changes of abundance and community structures of ammonia-oxidizing archaea were investigated in paddy soils that were flooded for 1 h, 1 d, 5 d, 10 d, 20 d, 30 d, 40 d and 60 d, using sequential analysis and real-time PCR. The abundance of bacteria was 29 times that of crenarchaeota, while AOA was 4 times ammonia-oxidizing bacteria(AOB). Based-on arch-amoA gene, OTU analysis showed that the AOA community structures shifted at different flooding times:T12, a type of AOA and r-strategist organism, was present only at the early flooding time. T4, T5 and T9, k-strategist organisms, existed at the late flooding time. T1, T8 and T16, r-k-strategist symbiotic organisms, appeared during whole flooding period. AOA predominated at the late flooding time. The diversity index of dominant groups was larger at the early flooding than at the middle and late flooding times. Sequencing results showed that all 16 dominant OTU types belonged to crenarchaeota, and had a close relationship with AOA from paddy soil, dry highland soil, red soil and sediments in different regions.
LONG TIME QUANTUM EVOLUTION OF OBSERVABLES ON CUSP SURFACES

We build a semi-classical quantization procedure for finite volume manifolds with hyperbolic cusps, adapted to a geometrical class of symbols. We prove an Egorov Lemma until Ehrenfest times on such manifolds. Then we give a version of Quantum Unique Ergodicity for the Eisenstein series for values of s converging slowly to the unitary axis. In this paper, we work with non-compact complete manifolds (M, g) of finite volume with hyperbolic ends. Such manifolds are called cusp manifolds. They decompose into a compact manifold with boundary and a finite number of cusp-ends Z1, . Zm; that is, of the type: Z a = [a,+∞)y × Tθ with the metric ds = dy + dθ y2 where dθ is the canonical flat metric on the d-dimensionnal torus T = R/Λ. The Laplacian on compactly supported smooth functions on M is essentially self-adjoint, so it has a unique self-adjoint extension ∆ to L(M). Here, we take the analyst’s convention that ∆ is a non-positive operator. In [CdV83], Yves Colin de Verdière proved that for cusp surfaces, the resolvent of the Laplacian has a meromorphic continuation through the continuous spectrum. Another proof was given in any dimension with a more general definition of cusps by Müller in [Mül83]. It gives the following. The operator defined on L for <s > d/2 and s / ∈ [d/2, d], R(s) = (−∆− s(d− s))−1 has a meromorphic continuation to the whole complex plane, as an operator C∞ c (M)→ C∞(M). The poles are called resonances. Those on the vertical line <s = d/2 (called the unitary axis), and on the segment [0, d] correspond to discrete L eigenvalues. However the others are associated to continuous spectrum. The way to prove this uses a meromorphic family of eigenfunctions, the so-called Eisenstein series {Ei(s)}s∈C,i=1.m. Those are smooth, not L, and satisfy −∆Ei(s) = s(d− s)Ei(s), s ∈ C. The E(s) naturally replace the L eigenfunctions as spectral data for the continuous spectrum. Actually, the data can be alternatively considered to be the values of E for s on the unitary axis, the full family {E(s)}s∈C, or the poles and the residues at the ar X iv :1 41 1. 50 83 v1 [ m at h. SP ] 1 9 N ov 2 01 4 2 YANNICK BONTHONNEAU poles of the family — a.k. a the resonant states. Observe that it is not always easy to translate results between those formulations. We are trying to determine whether properties of L eigenfunctions for compact manifolds remain true for this spectral data in the non-compact case; we also seek to know if new behavior arise.
Central Venous Catheter-related Blood Stream Infections: Incidence, Risk Factors and Associated Pathogens in a University Hospital ICU

Central Venous Catheters (CVCs) are indispensable in current intensive care treatment; also pose a greater risk of device related infections in comparison to any other type of medical device and are major cause of morbidity, mortality and increased expense. A cross sectional prospective study of one year duration was conducted in the tertiary care University Hospital ICU located in the rural region of Haryana, India, to determine the incidence of the central venous catheter related bloodstream infection (CRBSI), rate of catheter colonization and to identify the associated risk factors and the microbial spectrum of CRBSI along with the antimicrobial sensitivity pattern of microbial isolates. Sixty patients with central venous catheter inserted and admitted under ICU having signs and symptoms of septicaemia post 48 hours of central venous catheter insertion were included. The rate of CRBSI was assessed by paired quantitative blood culture method in the CVC and peripheral vein. The CRBSI incidence was 16.67% and catheter colonization was found to be 53.3%. Methicillin-resistant staphylococcus aureus and Acinetobacter baumanni were the predominant isolates. A statistically significant association of duration of catheterization with CRBSI was found. It is concluded that CRBSI incidence is high, with significant association of prolonged duration of catheterization with CRBSI. By knowing the changing trends of microbial flora, empirical therapy can be formulated for early and effective management of CRBSI.
Studying the Complex Inter-relationships amongst various SNA Metrics and SEA Metrics using ISM Methodology

Social Network Analysis is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures in terms of nodes which includes individual actors, people, or things within the network and the ties, edges, or links which include relationships or interactions that connect them. Examples include friendship and acquaintance networks , business networks , difficult working relationships, knowledge networks , diseases transmissions , sexual relationships etc. On the other hand, sentiment analysis helps in determining the emotional temperament of reviewers and writers and helps to identify, extract or portray intuitive information, such as opinions, which may be expressed in a certain given piece of text or topic. Present research work attempts to explore the various metrics associated with the success of social media network analysis as well as sentiment analysis and thereafter it tries to establish the inter-relationships between the various sentiment analysis metrics through ISM methodology.
Estimating pressure and flow at the glottis in a vocal tract-like duct from microphone measurements at the mouth

We describe a method to deduce pressure and flow at the glottis from acoustic measurements near or downstream from the lips, using phonation into a cylindrical duct with three microphones. In this paper this method is tested on hard one-dimensional ducts, also reporting the precision of using 3D printed models of vocal tract area functions. Combining all the approximations yields results that are poor for the frequency range needed for phonetics, but they perform better at the frequencies of the first few voice harmonics.
Blockchain Technology in Health Inusrance – Integration of 8 Stake Holders

— Blockchain is a progressive innovation technology that is impacting several domains, especially in the area of FinTech. The Health Insurance Company involves a number of stake holders for effective completion of various activities. All these stakeholders work in silo, there by data becomes dirty and may lead to errors as it moves from one stake holder to others. There are a considerable number of cases of fraud that goes undetected and measures to prevent fraud appears to be a distant goal. Insurance companies are incurring huge losses because of such errors due to unclean data and undetected frauds. Moreover consumers are loosing control over their own data. This leads to disintegration of trust between Insuree and Insured. Current system lacks transparency, takes lot of time for claim processing, settlement and underwriting process. Our framework is built using blockchain technology induces Trust and Transparency. It also provides efﬁciency and security th at enables the information to be controlled by the policy owner. Smart contracts are used for claim management there by increasing the speed of claim settlement process and decreases the administrative costs and provides an error and fraud free solution. Ethereum is used for developing the framework, which is open source premissionless blockchain framework.
Efficient and large-scale land cover classification using multiscale image analysis

While popular solutions exist for land cover mapping, they become intractable when in a large-scale context (e.g. VHR mapping at the European scale). In this paper, we consider a popular classification scheme, namely combination of Differential Attribute Profiles and Random Forest. We then introduce new developments and optimizations to make it: i) computationally efficient; ii) memory efficient ; iii) accurate at a very large scale; and given its efficiency, iv) able to cope with strong differences in the observed landscapes through fast retraining. We illustrate the relevance of our proposal by reporting computing time obtained on a VHR image.
Recurrent Point Review Models

Deep neural network models represent the state-of-the-art methodologies for natural language processing. Here we build on top of these methodologies to incorporate temporal information and model how review data changes with time. Specifically, we use the dynamic representations of recurrent point process models, which encode the history of how business or service reviews are received in time, to generate instantaneous language models with improved prediction capabilities. Simultaneously, our methodologies enhance the predictive power of our point process models by incorporating summarized review content representations. We provide recurrent network and temporal convolution solutions for modeling the review content. We deploy our methodologies in the context of recommender systems, effectively characterizing the change in preference and taste of users as time evolves. Source code is available at [1].
Quantitative Analysis Method forBacterial Cells in SEM Image using Deep Learning

In this paper we propose a method to segment, classify and quantitatively analyze bacteria from a given Scanning Electron Micro-scope (SEM) image of the bacterial sample. Thousands of bacteria lives in the human gut and recent studies have shown that the quantitative features of the microbiome, such as co-existence ratio of different bacteria, can be indicative of the health condition in humans. Therefore, to realize a system to quantitatively analyze the gut bacteria of humans, we propose a method to segment, classify and calculate the ratio of the bacteria contents for a few well-known bacteria types. Our method achieves more than 90% recall for all of original three datasets. Additionally, we also introduce a novel image processing based touching object separation algorithm which is applied within the framework of our system. Subse-quently, we show the comparison results between another state-of-the-art segmentation method and the introduced algorithm and we empirically report that our new algorithm has a better performance.
Optimized operational parameters of anaerobic cellulosic-wastewater treatment for
bioenergy recovery and effluent quality improvements

A series of standardized batch experiments were carried out to optimize the biogas production from cellulosic-rich wastewater treatment. The experimental results showed that the best result was produced under C/N ration of 20 with 80.94 % COD removal and cumulative biogas production reached 44.55 ml/g COD added. The maximum cellulose degradation was achieved at 10 g/L with a cumulative biogas production of 6.13 L/L. Based on the response surface model, the most significant operational parameter was cellulose concentration and C/N ratio with Log Worth values reached 2.112 and1.131, respectively. As for biological pretreatment, the experimental results showed that the pretreatment under shaking cultural conditions produced better results in COD removal efficiency however, the biogas production was negatively affected as well as the soluble by-products concentrations were significantly decreased. The experimental results showed that the changing in the soluble by-product concentrations could explain the effect of operational factors and the best condition was reported.