Miracle-dz/UniFAR-FTUs huggingface dataset:
Environmental detection of Fasciola hepatica by loop-mediated isothermal amplification

Fasciola hepatica, commonly referred to as liver flukes, is a substantial zoonotic parasitic disease of humans and livestock globally. While infection is readily controlled by anthelmintics, namely triclabendazole, the heavy reliance on triclabendazole has resulted in drug resistance appearing worldwide. Due to drug resistance, it is imperative to adopt an integrated parasite management program to preserve the efficacy of currently available anthelmintics. A integrated liver fluke management plan would benefit from a simple rapid, field-deployable diagnostic for detection of F. hepatica in environment and the host. Therefore, a rapid DNA test using loop-mediated isothermal amplification was developed and optimised for the detection of F. hepatica from faecal and water samples to enable the detection of parasites both within the host and from the environment. The assay presented here is fast, with amplification in ≤20 min, and highly sensitive, with a detection limit of 5 × 10−4 ng/µL. The workflow presented here provides a time to result of ≤60 min without requiring a commercial kit for the extraction of DNA from faecal and water samples, and pending further validation from field-samples, could potentially be used to enable real-time decision making to mitigate parasite prevalence on a farming property and with no requirement for sample transportation.
Analyzing the Mechanism of Zinc Oxide Nanowires Bending and Bundling Induced by Electron Beam under Scanning Electron Microscope Using Numerical and Simulation Analysis

The bending effect of self-catalyst zinc oxide nanowires on a photoconducting behavior has been investigated by in-situ scanning electron microscope method and interpreted by analytical modeling. Zinc oxide NWs tend to incline due to geometric instability and because of the piezoelectric properties, which was confirmed by scanning electron microscope images. A cantilever bending model adequately describes the bending and bundling events, which are linked to the electrostatic interaction between nanowires. The light absorption of zinc oxide nanowires in the visible and near infrared bands has been modelled using the finite difference time domain method. The influence of the density of nanowires (25%, 50%, 75%) and the integration of plasmonic nanoparticles distributed on the seed layer (with varied radii) on the light absorption of zinc oxide nanowires was studied using simulation analysis. We have shown that the geometry of zinc oxide nanowires in terms of length, separation distance, and surface charge density affects the process of zinc oxide nanowires bending and bundling and that absorption will be maximized by integrating Au plasmonic nanoparticles with a radius of 10 nm.
Courbes de Weil semi-stables de discriminant une puissance m-ième.

Soit E une courbe elliptique semi-stable sur Q. Notons Δ son discriminant minimal. Soit m un entier ^1. Supposons que E soit une courbe de Weil (ce qui est conjecturalement toujours le cas) et que \A\ soit la puissance w-ieme d'un nombre entier. Nous demontrons en utilisant un theoreme de Ribet que Γόη a alors m ̂ 5 et que E possede un point d'ordre m rationnel sur Q (cf. theoreme 1). On en deduit qu'une courbe elliptique de Weil de conducteur premier p a en general pour discriminant ±p (la liste des exceptions est decrite dans le theoreme 2).
Deterministic and Entanglement-Efficient Preparation of Amplitude-Encoded Quantum Registers

Quantum computing promises to provide exponential speed-ups to certain classes of problems. In many such algorithms, a classical vector $\mathbf{b}$ is encoded in the amplitudes of a quantum state $\left |b \right>$. However, efficiently preparing $\left |b \right>$ is known to be a difficult problem because an arbitrary state of $Q$ qubits generally requires approximately $2^Q$ entangling gates, which results in significant decoherence on today's Noisy Intermediate Scale Quantum (NISQ) computers. We present a deterministic (nonvariational) algorithm that allows one to flexibly reduce the quantum resources required for state preparation in an entanglement efficient manner. Although this comes at the expense of reduced theoretical fidelity, actual fidelities on current NISQ computers might actually be higher due to reduced decoherence. We show this to be true for various cases of interest such as the normal and log-normal distributions. For low entanglement states, our algorithm can prepare states with more than an order of magnitude fewer entangling gates as compared to isometric decomposition.
Strawberry Receptacle Growth and Endogenous IAA Content as Affected by Growth Regulator Application and Achene Removal

Parthenocarpy was induced in emasculated strawberry (Fragaria × ananassa Duch.) flowers with aqueous solutions of 10−3M NAA, GA3 or GA4+7 in 2% DMSO plus 0.1% Tween 80. All fruit except those treated with NAA stopped growing within 12 days of treatment. Repeat application with NAA or GA4+7 20 days after initial treatment stimulated continued growth of NAA-induced fruit, but had little or no effect on growth of GA4+7-induced fruit. The diameters of mature parthenocarpic fruit ranged from 70% to 90% of that of pollinated fruit. Achene removal 12 days after pollination greatly reduced subsequent growth of receptacle tissue, complete removal being more effective than partial removal. Following achene removal 16 days after pollination, treatment with aqueous solutions of NAA in 2% DMSO and 0.1% Tween 80 produced receptacles 75% the size of controls with intact achenes, but neither GA3 nor GA4+7 stimulated growth. Achene removal 24 days after pollination did not influence further receptacle enlargement. Concentration of free indoleacetic acid (IAA) in NAA-treated fruit was 5-times that in controls and 3-times that in GA4+7-treated fruit 6 days after treatment. By 14 days after treatment, the levels had declined in all treated fruit. Free IAA concentration in the receptacle tissue of intact fruit was nearly equal to or greater than that in achenes 14 days after pollination. The growth rates of receptacles were positively correlated with numbers of intact achenes and free IAA content of the receptacle. Chemical names used: naphthaleneacetic acid (NAA); gibberellins (GA3 or GA4+7); dimethylsulfoxide (DMSO)
Research on the Investment Strategy of Quantitative Trading Based on Random Forest and Genetic Algorithm

Gold and Bitcoin are two common investments in the market. Investors profit from the capital market through specific trading strategies. Based on previous price data, this paper established a prediction-decision model, which provides investors with an optimal trading strategy and effectively improves the return on investment. To begin with, we use the past daily price of gold and bitcoin to calculate the Bollinger band, DMA, and MACD characteristics. We used the Random Forest algorithm to predict the next day's price and established a loop to predict all price data. Finally, we got the prediction data with the goodness of fit ( ) as high as 0.98. We intuitively see that the prediction effect is pretty good from the predictive value-real value-line chart. Then, we established the transaction decision-making objective model, used the Genetic Algorithm to select the daily transaction amount, obtained the optimal transaction strategy, and then established a loop to obtain all the optimal strategies. The final total assets were 243,424.76, and the annual return rate reached 6085.62%.
Molecular detection of anaplasmataceae agents on dogs from the departament of Piura, Peru

This study aimed to study the prevalence of Anaplasmataceae organisms through the nested-PCR and phylogenetic analysis on domestic dogs in the Department of Piura, Peru. Two hundred and twelve canine blood samples were randomly collected on dogs from the central urban areas at the Piura Department in Peru. The extracted DNAs were tested, by nested-PCR based on 16SrRNA gene, to identify agents from Anaplasmataceae family. These results show that there was a prevalence of 18.5% (40/216) of positive dogs, 13.8% (30/216) for Ehrlichia canis, 7.4% (16/216) for Anaplasma platys and 0.1% (2/216) for Ehrlichia sp. confirmed by sequencing analysis. Co-positivity among Anaplasmataceae family species was present in 25% (10/40) of positive samples. There was a significant association among Anaplasmataceae family infection in dogs and the following variables: sex (p=0.034), presence of ticks (p=0.0001), and socio-economic status (p=0.001). There was no statistical association on the variables “living with other animals” and “age group” (p=0.1074). The partial sequences on the portion of the 16S rRNA gene, from positive samples for agents of Anaplasmataceae family demonstrated an identity of 97-100% with the isolated E. canis and A. platys obtained from the GenBank. This is the first study on infection by agents of Anaplasmataceae family in dogs in the Department of Piura, through molecular analysis.KEY WORDS: Anaplasmosis; Canis lupus; ehrlichiosis; molecular analysis; South America
Production and Properties of Liquefied Oil-palm Stem Adhesive

: The objective of this study was to evaluate production and properties of liquefied oil-palm stem adhesive. Method for production of this adhesive was inspired by bio-refinery concept. In this context, vascular bundle of oil-palm stem was liquefied through liquefaction process involving thermo-chemical reaction using chemicals of H 2 SO 4 , phenol, and NaOH at 90  C. Properties of the adhesive were compared to Indonesian Standard for phenol-formaldehyde (PF) resins. Results of the examinations showed color of the liquefied adhesive was brown-blackish, specific gravity was 1.26, solid content was 86%, viscosity was 111 cP, pH was 7.8, gel time was 98 minutes, and free formaldehyde was not detected. Even though the properties of the liquefied adhesive made of vascular bundles’ oil-palm stem were slightly differ from PF resin, application of this adhesive as binder of wood product should be recommended because of its feasibility as the adhesive.
Green Human Resource Management: A Bibliometric Analysis

Despite the growing attention which green human resource management (GHRM) has been gaining, the field is still remarkably young, and conceptual clarity is yet to be attained. A bibliometric review of GHRM from 2010 to 2020 was conducted on the Web of Science and analyzed using the VOSviewer software package, version 1.6. 16 developed by Van Eck and Waltman (Leiden, The Netherlands). The results show the exponential growth of this topic, although there seems to be no consensus regarding its definition, conceptualization and measurement. Concerning its conceptual development, GHRM seems to currently fit the second stage of development (evaluation and augmentation) of Reichers and Schneider’s three-stage model of the evolution of constructs. Future research seems to point in the direction of establishing the barriers separating GHRM from other human resource management topics, defining green practices and determining the antecedents and consequences of GHRM.
Anti-Inflammatory microRNAs for Treating Inflammatory Skin Diseases

Skin inflammation occurs due to immune dysregulation because of internal disorders, infections, and allergic reactions. The inflammation of the skin is a major sign of chronic autoimmune inflammatory diseases, such as psoriasis, atopic dermatitis (AD), and lupus erythematosus. Although there are many therapies for treating these cutaneous inflammation diseases, their recurrence rates are high due to incomplete resolution. MicroRNA (miRNA) plays a critical role in skin inflammation by regulating the expression of protein-coding genes at the posttranscriptional level during pathogenesis and homeostasis maintenance. Some miRNAs possess anti-inflammatory features, which are beneficial for mitigating the inflammatory response. miRNAs that are reduced in inflammatory skin diseases can be supplied transiently using miRNA mimics and agomir. miRNA-based therapies that can target multiple genes in a given pathway are potential candidates for the treatment of skin inflammation. This review article offers an overview of the function of miRNA in skin inflammation regulation, with a focus on psoriasis, AD, and cutaneous wounds. Some bioactive molecules can target and modulate miRNAs to achieve the objective of inflammation suppression. This review also reports the anti-inflammatory efficacy of these molecules through modulating miRNA expression. The main limitations of miRNA-based therapies are rapid biodegradation and poor skin and cell penetration. Consideration was given to improving these drawbacks using the approaches of cell-penetrating peptides (CPPs), nanocarriers, exosomes, and low-frequency ultrasound. A formulation design for successful miRNA delivery into skin and target cells is also described in this review. The possible use of miRNAs as biomarkers and therapeutic modalities could open a novel opportunity for the diagnosis and treatment of inflammation-associated skin diseases.
Assessment of a Vision-Based Technique for an Automatic Van Herick Measurement System

The adoption of artificial intelligence (AI) methods within the instrumentation and measurements field is nowadays an attractive research area. On the one hand, making machines learn from data how to perform an activity, rather than hard code sequential instructions, is a convenient and effective solution in many modern research areas. On the other hand, AI allows for the compensation of inaccurate or not complete models of specific phenomena or systems. In this context, this article investigates the possibility to exploit suitable machine learning (ML) techniques in a vision-based ophthalmic instrument to perform automatic anterior chamber angle (ACA) measurements. In particular, two convolutional neural network (CNN)-based networks have been identified to automatically classify acquired images and select the ones suitable for the Van Herick procedure. Extensive clinical trials have been conducted by clinicians, from which a realistic and heterogeneous image dataset has been collected. The measurement accuracy of the proposed instrument is derived by extracting measures from the images of the aforementioned dataset, as well as the system performances have been assessed with respect to differences in patients’ eye color. Currently, the ACA measurement procedure is performed manually by appropriately trained medical personnel. For this reason, ML and vision-based techniques may greatly improve both test objectiveness and diagnostic accessibility, by enabling an automatic measurement procedure.
On the Image of Certain Extension Maps. I

Abstract Let $X$ be a smooth complex projective curve of genus $g\ge 1$ . Let $\xi \in {{J}^{1}}\left( X \right)$ be a line bundle on $X$ of degree 1. Let $W=\text{Ex}{{\text{t}}^{1}}\left( {{\xi }^{n}},{{\xi }^{-1}} \right)$ be the space of extensions of ${{\xi }^{n}}$ by ${{\xi }^{-1}}$ . There is a rational map ${{D}_{\xi }}:G\left( n,W \right)\to S{{U}_{X}}\left( n+1 \right)$ , where $G\left( n,W \right)$ is the Grassmannian variety of $n$ -linear subspaces of $W$ and $S{{U}_{X}}\left( n+1 \right)$ is the moduli space of rank $n+1$ semi-stable vector bundles on $X$ with trivial determinant. We prove that if $n=2$ , then ${{D}_{\xi }}$ is everywhere defined and is injective.
Novel Identification of Symmetric and Anti-Symmetric Quantum Functions

Procedures are given below to construct symmetric and anti-symmetric quantum functions. If hidden in an oracle, such functions can be identified exactly, without iterative interrogation. This is another example of quantum search. The resulting positive (or negative) functions also serve to uniquely reorganize a superposition of states to give a basis state for testing purposes.
Robbing Peter to Pay Paul: Chlorhexidine gluconate demonstrates short‐term efficacy and long‐term cytotoxicity

Wound cleansing agents are routine in wound care and preoperative preparation. Antiseptic activity intends to prevent contaminating microbes from establishing an infection while also raising concerns of cytotoxicity and delayed wound healing. We evaluated the cytotoxicity of five clinically used wound cleaning agents (saline, povidone iodine, Dove® and Dial® soaps, and chlorhexidine gluconate [CHG]) using both an ex vivo and in vivo human skin xenograft mouse model, in contrast to classical in vitro models that lack the structural and compositional heterogeneity of human skin. We further established an ex vivo wound contamination model inoculated with ~100 cells of Pseudomonas aeruginosa or Staphylococcus aureus to evaluate antimicrobial efficacy. Scanning electron microscopy and confocal microscopy were used to evaluate phenotypic and spatial characteristics of bacterial cells in wound tissue. CHG significantly reduced metabolic activity of the skin explants, while all treatments except saline affected local cellular viability. CHG cytotoxicity persisted and progressed over 14 days, impairing wound healing in vivo. Within the contamination model, CHG treatment resulted in a significant reduction of P. aeruginosa wound surface counts at 24 h post‐treatment. However, this effect was transient and serial application of CHG had no effect on both P. aeruginosa or S. aureus microbial growth. Microscopy revealed that viable cells of P. aeruginosa reside deep within wound tissue post‐CHG application, likely serving as a reservoir to re‐populate the tissue to a high bioburden. We reveal concerning cytotoxicity and limited antimicrobial activity of CHG in human skin using clinically relevant models, with the ability to resolve spatial localization and temporal dynamics of tissue viability and microbial growth.
Reconstruction of electromagnetic minimum energy sources in a prolate spheroid

The inverse problem of reconstructing time‐harmonic minimum energy current distributions in a spheroidal volume from given data of far‐field radiation is addressed. Following the procedure outlined by Marengo and Devaney [1999] , we formulate, upon deriving a spherical harmonics expansion of the electromagnetic field radiated by a current inside a prolate spheroid, the inverse problem in terms of linear operator theory. Owing to the lack of orthogonality of spheroidal vector wave functions, every eigenfunction will couple with several spherical radiation modes at a time, making the solution rather involved. Simplification is achieved in the special case of rotationally symmetric fields, for which numerical examples are given. As an application, the use of minimum energy currents for identifying distributions of nonradiating current in a spheroidal volume is pointed out.
Practical Attacks of Round-Reduced SIMON Based on Deep Learning

At CRYPTO’19, Gohr built a bridge between deep learning and cryptanalysis. Based on deep neural networks, he trained neural distinguishers of SPECK32/64. Besides, with the help of neural distinguishers, he attacked 11-round SPECK32/64 using Bayesian optimization. Compared with the traditional attack, its complexity was reduced. Although his work opened a new direction of machine learning aided cryptanalysis, there are still two research gaps that researchers are eager to fill in. (i) Can the attack using neural distinguishers be used to other block ciphers? (ii) Are there effective key recovery attacks on large-size block ciphers adopting neural distinguishers? In this paper, our core target is to propose an effective neural-aided key recovery policy to attack large-size block ciphers. For large-size block ciphers, it costs too much time in pre-computation, especially in wrong key response profile, which is the main reason why there are almost no neural aided attacks on large-size block ciphers. Fortunately, we find that there is a fatal flaw in the wrong key profile. In the some experiments of SIMON32/64 and SIMON48/96, there is a regular of change in response profiles, which implies that we can use partial response instead of the complete response. Based on this, we propose a generic key recovery attack scheme which can attack large-size block ciphers. As an application, we perform a key recovery attack on 13-round SIMON64/128, which is the first practical attack using neural distinguishers to large-size ciphers. In addition, we also attack 13-round SIMON32/64 and SIMON48/96, which also shows that the neural distinguishers can be used to other block ciphers.
Fruiting Affects Photosynthesis and Senescence of Pecan Leaves

Seasonal measurements of net photosynthesis (Pn), stomatal conductance (Cs), and endogenous senescence-related chemicals were made on pecan [Carya illinoensis (Wang.) C. Koch] trees growing in the orchard environment. Leaves from terminal shoots of mature, 75-year-old ‘Moneymaker’ trees in the “on” alternately bearing phase maintained 10% to 40% higher Pn rates than did those of “off” phase trees. These “on” leaves also maintained higher levels of chlorophyll, protein, amino acids, and RNA, but less K. than “off” leaves. The presence of developing fruit suppressed the rate of late summer and autumnal leaf senescence, with “on” trees retaining their leaves in a higher state of vigor than those of “off” trees. Pn and Cs rates between leaflets of adjacent fruiting and nonfruiting shoots of 7-year-old ‘Desirable’ trees were also 10% to 15% higher for the fruiting shoots throughout the season. Pn and Cs rates were influenced such that gas exchange of leaves increased as sink demand increased. These data provide evidence that this sink-demand associated stimulus operates in a localized rather than a generalized manner and that it retards the rate of leaf senescence.
Abundance Gradients and the Role of Supernovae in M87

We make a detailed measurement of the metal abundance profiles and metal abundance ratios of the inner core of M87/Virgo observed by XMM-Newton during the performance verification phase. We use multitemperature models for the inner regions, and we compare the plasma codes APEC and MEKAL. We confirm the strong heavy-element gradient previously found by ASCA and BeppoSAX, but also find a significant increase in light elements, in particular O. This fact, together with the constant O/Fe ratio in the inner 9', indicates an enhancement of contribution in the core of the cluster, not only by Type Ia supernovae but also by Type II supernovae.
Comparison of haemodynamics in carotid endarterectomy: primary closure versus patch angioplasty

We investigated differences in haemodynamic forces between carotid arteries that underwent primary closure (PC) or patch angioplasty (PA) using computational fluid dynamics (CFD). A total of 30 subjects were enrolled in this study, consisting of 10 subjects who underwent PC, 10 who underwent PA and 10 healthy subjects. Three-dimensional models of carotid arteries were reconstructed using patient-specific computed tomography angiography images. The conventional Navier-Stokes, continuity equation and constitutive stress-strain law with a stabilized Petrov-Galerkin scheme were solved with Newtonian and incompressible assumptions. The boundary conditions employed patient-specific velocity profiles as the inflow and lumped parameters of the three-element Windkessel model as the outflow with a rigid wall assumption. Thus, the CFD results exhibited good agreement with measurements from the subjects (r = .78). The carotid arteries of the PC group were exposed to abnormal haemodynamic forces related to building atherosclerosis in a smaller (p .05) to healthy arteries. The morphological characteristics of the carotid artery were significantly associated with the area exposed to abnormal haemodynamic forces. We identified that abnormal haemodynamic forces could be avoided by selecting appropriate surgical techniques that produce less bifurcation expansion.