Miracle-dz/UniFAR-FTUs huggingface dataset:
Super Enhancer Driven Hyaluronan Synthase 3 Promotes Malignant Progression of Nasopharyngeal Carcinoma

Nasopharyngeal carcinoma (NPC) is a malignant tumor of the head and neck with high metastatic and invasive nature. Super enhancers (SEs) control the expression of cell identity genes and oncogenes during tumorigenesis. As a glycosaminoglycan in the tumor microenvironment, hyaluronan (HA) is associated with cancer development. High expression of hyaluronan synthase 3 (HAS3) resulted in HA deposition, which promoted the growth of cancer cell. However, its role in NPC development remains elusive. We demonstrated that the levels of HAS3 mRNA or protein were increased in NPC cell lines. Transcription of HAS3 is associated with SE. Disruption of SE by bromodomain containing 4 (BRD4) inhibitor JQ1 resulted in downregulation of HAS3 and inhibition of cell proliferation and invasiveness in NPC cells. Inhibition of HA synthesis by HAS inhibitor 4-MU suppressed cell growth and invasion of NPC cells, whereas HA treatment exerted opposite effects. Genetically silencing HAS3 in HK1 and FaDu NPC cells attenuated cell proliferation and mobility, while re-expression of HAS3 enhanced malignant potential of CNE1 and CNE2 NPC cells. Furthermore, loss of HAS3 impaired metastatic potential of HK1 cells in nude mice. Mechanistically, inhibition of HA synthesis by chemical inhibitor or silencing HAS3 led to reduction of the levels of phosphorylation of EGFR, AKT, and ERK proteins. In contrast, exogenous HA treatment or forced expression of HAS3 activated EGFR/AKT/ERK signaling cascade. This study suggested that HAS3 is driven by SE and overexpressed in NPC. High expression of HAS3 promotes the malignant features of NPC via activation of EGFR/AKT/ERK signaling pathway.
Significance of Ziprasidone Nanoparticles in Psychotic Disorders

: Nanotechnology is used today in a wide range of industries. Weakly water-soluble medications have better solubility and bioavailability when delivered by nano-speciﬁc drug delivery methods, such as nanocrystals. Another name for ziprasidone is 5-[2-[4-(1,2-benzisothiazol-3-yl)-1-piperazinyl]ethyl]-6-chloro-1,3-dihydro-2H-indol-2-one, and it is a brand-new “atypical” or “second-generation” antipsychotic drug. Its multipotent G-protein-coupled (GPCR) receptor binding proﬁle is distinctive. It is used to treat bipolar-disorder-related acute manic or mixed episodes as well as schizophrenia. Schizophrenia is a serious mental condition in which a person can experience reality in a strange or different way. Ziprasidone is a highly lipophilic and unstable drug. Ziprasidone nanoparticles, another incarnation of this drug, are used to treat diseases. When ziprasidone is present in the form of particles with an effective average crystal size of less than or equal to 100 nm, the term “nanoparticle” is frequently used to characterize them. A colloidal submicron dispersion of ziprasidone particles is what ziprasidone nanosuspensions and nanoemulsions are made of. One formulation that makes use of solubilization technology is a nanosuspension of a crystalline ziprasidone free base. In order to get around the drug’s solubility issue and investigate its potential for nose-to-brain delivery, a buffered nanoemulsion of ziprasidone HCl has been created. We discuss numerous ziprasidone nanoformulations used to treat psychotic illnesses in this review.
Velocity measurements in complex flows of non-Newtonian fluids

Experimental methods for making quantitative measurements of velocity fields in non-Newtonian fluids are reviewed. Techniques based on light scattering spectroscopy - laser Doppler velocimetry and homodyne light scattering spectroscopy, techniques based on imaging the displacement of markers - including particle image velocimetry and molecular tagging velocimetry, and techniques based on nuclear magnetic resonance imaging are discussed. The special advantages and disadvantages of each method are summarized, and their applications to non-Newtonian flows are briefly reviewed. Example data from each technique are also included.
Mean-shift tracking algorithm based on adaptive fusion of multi-feature

The classic mean-shift tracking algorithm has achieved success in the field of computer vision because of its speediness and efficiency. However, classic mean-shift tracking algorithm would fail to track in some complicated conditions such as some parts of the target are occluded, little color difference between the target and background exists, or sudden change of illumination and so on. In order to solve the problems, an improved algorithm is proposed based on the mean-shift tracking algorithm and adaptive fusion of features. Color, edges and corners of the target are used to describe the target in the feature space, and a method for measuring the discrimination of various features is presented to make feature selection adaptive. Then the improved mean-shift tracking algorithm is introduced based on the fusion of various features. For the purpose of solving the problem that mean-shift tracking algorithm with the single color feature is vulnerable to sudden change of illumination, we eliminate the effects by the fusion of affine illumination model and color feature space which ensures the correctness and stability of target tracking in that condition. Using a group of videos to test the proposed algorithm, the results show that the tracking correctness and stability of this algorithm are better than the mean-shift tracking algorithm with single feature space. Furthermore the proposed algorithm is more robust than the classic algorithm in the conditions of occlusion, target similar with background or illumination change.
Killers 2.0: NK cell therapies at the forefront of cancer control

Here, we review the evidence for NK cells’ critical role in combating transformed and malignant cells, and how cancer immunotherapies potentiate NK cell responses for therapeutic purposes. We highlight cutting-edge immunotherapeutic strategies in preclinical and clinical development such as adoptive NK cell transfer, chimeric antigen receptor–expressing NK cells (CAR-NKs), bispecific and trispecific killer cell engagers (BiKEs and TriKEs), checkpoint blockade, and oncolytic virotherapy. Further, we describe the challenges that NK cells face (e.g
Aspect ratio histograms of 3D ellipsoids and 2D ellipses — Analytical relations and numerical examples

ABSTRACTA typical way of characterizing rocks, composite materials, or human tissue is to extract aspect ratio histograms. A common assumption for this type of analysis is that the sample is composed of several grains or building elements that have a similar shape. Among various shapes, the ellipsoid is very common. In practice, such detailed analysis is performed on 2D cuts or slices through the material. It is intuitive that there is a difference between a 2D aspect ratio histogram and the corresponding 3D histogram. I have derived simple equations that can be used to transform from 3D to 2D and also from 2D to 3D, assuming that the two shortest axes in the ellipsoid were equal. For the general case, when all axes were different, an approximate equation was derived. All equations were compared with stochastic numerical simulations of cutting a 3D ellipsoid by an arbitrary random number of planes. It was determined that in the general case, the shortest aspect ratio would dominate the 2D histograms and t.
Development of Hydrodynamic Models Suitable for Air Pollution and Other Mesometerological Studies

Abstract We describe the development of a general, predictive, hydrostatic meteorological model. The model is three-dimensional and is suitable for a wide variety of problems, ranging from the synoptic scale to the small end of the mesoscale. The model contains provisions for variable terrain, a moisture cycle, sensible heat addition at the earth's interface, and high- and low-resolution boundary layer physics. This paper presents the mathematical and numerical formulation used in the various options of the model. First we write the basic equations on a Lambert conformal projection. Then we describe the horizontal and vertical grid structure, the finite-difference equations, and the energetics of the three-dimensional model and its two-dimensional analog. We consider the role of the lateral boundary conditions for limited area forecasts, with emphasis on their effect on the mean motion over the domain. Two options for including the frictional and diabatic effects at the earth's surface are presented. Thes.
Improved extracellular vesicle-based mRNA delivery for familial hypercholesterolemia treatment

Extracellular vesicle (EV)-based low-density lipoprotein receptor (Ldlr) mRNA delivery showed excellent therapeutic effects in treating familial hypercholesterolemia (FH). Nevertheless, the loading inefficiency of EV-based mRNA delivery presents a significant challenge. Recently, RNA-binding proteins (RBPs) have been fused to EV membrane proteins for selectively encapsulating targeted RNAs to promote loading efficiency. However, the strong interaction between therapeutic RNAs and RBPs prevents RNA release from endosomes to the cytosol in the recipient cells. In this study, an improved strategy was developed for efficient encapsulation of Ldlr mRNA into EVs in donor cells and controllable release in recipient cells. Methods: The MS2 bacteriophage coat protein (CD9-MCP) fusion protein, Ldlr mRNA, and a customized MS2 containing RNA aptamer base-pair matched with Ldlr mRNA were expressed in donor cells. Cells receiving the above therapeutic EVs were simultaneously treated with EVs containing “Ldlr releaser” with a sequence similar to the recognition sites in Ldlr mRNA. Therapeutic effects were analyzed in Ldlr-/- mice receiving EV treatments via the tail vein. Results: In vitro experiments demonstrated improved loading efficiency of Ldlr mRNA in EVs via MS2-MCP interaction. Treatment of “Ldlr releaser” competitively interacted with MS2 aptamer with higher affinity and released Ldlr mRNA from CD9-MCP for efficient translation. When the combinatory EVs were delivered into recipient hepatocytes, the robust LDLR expression afforded therapeutic benefits in Ldlr-/- mice. Conclusion: We proposed an EV-based mRNA delivery strategy for enhanced encapsulation of therapeutic mRNAs in EVs and RNA release into the cytosol for translation in recipient cells with great potential for gene therapy.
Constructing mathematical meaning of a trigonometric function through the use of an artefact

Abstract Many studies argue that dynamic features of the artefact Cabri may function as instruments of semiotic mediation. Our study is situated in this perspective and aims to observe the impact of the use of the technological artefact Cabri in a teaching experiment that introduces the notion of a trigonometry function, through the articulation of the geometric and functions domains. This paper focuses on the potentialities provided by the Dragging tool, Measurement tool and Trace tool as semiotic mediators. The paper also explores the role of the situation “a rope on a wheel” in students' meaning making processes of trigonometric functions. Student-teacher discourse is used to identify target concept related teacher and student verbal signs, both simple signs and complex signs, including characterisations, definitions, interpretations and instantiations. The use of these signs illustrates that if conceptual development stagnates the teacher recurs to simple signs and guides the discourse to the whole spectrum of complex signs. The artefact Cabri supports such conceptual discourse because of its dynamic features as compared to paper-and-pencil methods.
Multi-functional dielectric elastomer artificial muscles for soft and smart machines

Dielectric elastomer (DE) actuators are popularly referred to as artificial muscles because their impressive actuation strain and speed, low density, compliant nature, and silent operation capture many of the desirable physical properties of muscle. Unlike conventional robots and machines, whose mechanisms and drive systems rapidly become very complex as the number of degrees of freedom increases, groups of DE artificial muscles have the potential to generate rich motions combining many translational and rotational degrees of freedom. These artificial muscle systems can mimic the agonist-antagonist approach found in nature, so that active expansion of one artificial muscle is taken up by passive contraction in the other. They can also vary their stiffness. In addition, they have the ability to produce electricity from movement. But departing from the high stiffness paradigm of electromagnetic motors and gearboxes leads to new control challenges, and for soft machines to be truly dexterous like their biolo.
Behavior of Collective Cooperation Yielded by Two Update Rules in Social Dilemmas: Combining Fermi and Moran Rules

We combine the Fermi and Moran update rules in the spatial prisoner's dilemma and snowdrift games to investigate the behavior of collective cooperation among agents on the regular lattice. Large-scale simulations indicate that, compared to the model with only one update rule, the cooperation behavior exhibits the richer phenomena, and the role of update dynamics should be paid more attention in the evolutionary game theory. Meanwhile, we also observe that the introduction of Moran rule, which needs to consider all neighbor's information, can markedly promote the aggregate cooperation level, that is, randomly selecting the neighbor proportional to its payoff to imitate will facilitate the cooperation among agents. Current results will contribute to further understand the cooperation dynamics and evolutionary behaviors within many biological, economic and social systems.
POSITION CONTROL OF ROBOT UNDER ENDPOINT CONSTRAINTS

In this contribution we study PD-control of the robot endpoint that is constrained to move on a given surface described by a scalar function. This function depends on the Cartesian coordinates which are expressed in the inertial reference frame. The contact friction force arises in the direction against the motion velocity. The discussion of this contribution leads to formulate a theorem about asymptotic stability in a neighborhood of desired position.
Antioxidant Intake and Biomarkers of Asthma in Relation to Smoking Status—A Review

Asthma is considered a chronic inflammatory disorder associated with airway hyperresponsiveness (AHR). Increased oxidative stress (OS) is a clinical feature of asthma, which promotes the inflammatory responses in bronchial/airway epithelial cells. Smokers and nonsmokers with asthma have been shown to have increases in several OS and inflammatory biomarkers. However, studies suggest significant differences in OS and inflammation biomarkers between smokers and nonsmokers. A few studies suggest associations between antioxidant intake from diet/supplements and asthma in patients with different smoking status. Evidence is lacking on the protective role of antioxidant vitamin and/or mineral consumption against asthma by smoking status with respect to inflammation and OS biomarkers. Therefore, the aim of this review is to highlight current knowledge regarding the relations between antioxidant intake, asthma, and its associated biomarkers, according to smoking status. This paper can be used to guide future research directions towards the health consequences of antioxidant intake in smoking and nonsmoking asthmatics.
The Genetic Diversity and Antimicrobial Resistance of Pyogenic Pathogens Isolated from Porcine Lymph Nodes

According to the Food and Agriculture Organization of the United Nations, pork remains the most consumed meat in the world. Consequently, it is very important to ensure that it is of the highest microbiological quality. Many of the pathogens that cause lymph node lesions in pigs are zoonotic agents, and the most commonly isolated bacteria are Mycobacterium spp. , Streptococcus spp. , Staphylococcus aureus and Rhodococcus equi (synonymous with Prescottella equi). The prevention and treatment of zoonotic infections caused by these bacteria are mainly based on antimicrobials. However, an overuse of antimicrobials contributes to the emergence and high prevalence of antimicrobial-resistant strains, which are becoming a serious challenge in many countries. The aim of this study was to evaluate the genetic diversity and antimicrobial resistance of the Streptococcus spp. (n = 48), S. aureus (n = 5) and R. equi (n = 17) strains isolated from swine lymph nodes with and without lesions. All isolates of S. dysgalactiae, S. aureus and R. equi were subjected to PFGE analysis, which showed the genetic relatedness of the tested bacteria in the studied pig populations. Additionally, selected tetracycline and macrolide resistance genes in the streptococcal strains were also studied. The results obtained in the present study provide valuable data on the prevalence, diversity, and antimicrobial resistance of the studied bacteria. Numerous isolated bacterial Streptococcus spp. strains presented resistance to doxycycline, and almost half of them carried tetracycline resistance genes. In addition, R. equi and S. aureus bacteria presented a high level of resistance to beta-lactam antibiotics and to cefotaxime, respectively.
Alternative Tests of Independence in Two-Way Categorical Tables

The chi-squared test for independence in two-way categorical tables depends on the assumptions that the data follow the multinomial distribution. Thus, we suggest alternatives when the assumptions of multi- nomial distribution do not hold. First, we consider the Bayes factor which is used for hypothesis testing in Bayesian statistics. Unfortunately, this has the problem that it is sensitive to the choice of prior distributions. We note here that the intrinsic Bayes factor is not appropriate because the prior distribu- tions under consideration are all proper. Thus, we propose using Bayesian estimation which is generally not as sensitive to prior specifications as the Bayes factor. Our approach is to construct a 95% simultaneous credible re- gion (i.e., a hyper-rectangle) for the interactions. A test that all interactions are zero is equivalent to a test of independence in two-way categorical tables. Thus, a 95% simultaneous credible region of the interactions provides a test of independence by inversion.
Bounded Surjective Quadratic Functions over Fnp for MPC-/ZK-/FHE-Friendly Symmetric Primitives

Motivated by new applications such as secure Multi-Party Computation (MPC), Fully Homomorphic Encryption (FHE), and Zero-Knowledge proofs (ZK), many MPC-, FHE- and ZK-friendly symmetric-key primitives that minimize the< number of multiplications over Fp for a large prime p have been recently proposed in the literature. These symmetric primitives are usually defined via invertible functions, including (i) Feistel and Lai-Massey schemes and (ii) SPN constructions instantiated with invertible non-linear S-Boxes. However, the “invertibility” property is actually never required in any of the mentioned applications.In this paper, we discuss the possibility to set up MPC-/FHE-/ZK-friendly symmetric primitives instantiated with non-invertible bounded surjective functions. In contrast to one-to-one functions, each output of a l-bounded surjective function admits at most l pre-images. The simplest example is the square map x → x2 over Fp for a prime p ≥ 3, which is (obviously) 2-bounded surjective. When working over Fnp for n ≥ 2, we set up bounded surjective functions by re-considering the recent results proposed by Grassi, Onofri, Pedicini and Sozzi at FSE/ToSC 2022 as starting points. Given a quadratic local map F : Fmp → Fp for m ∈ {1, 2, 3}, they proved that the shift-invariant non-linear function over Fnp defined as SF (x0, x1, . . . , xn−1) = y0∥y1∥ . ∥yn−1 where yi := F(xi, xi+1) is never invertible for any n ≥ 2 · m − 1. Here, we prove that • the quadratic function F : Fmp → Fp for m ∈ {1, 2} that minimizes the probability of having a collision for SF over Fnp is of the form F(x0, x1) = x20 + x1 (or equivalent);• the function SF over Fnp defined as before via F(x0, x1) = x20 +x1 (or equivalent) is 2n-bounded surjective.As concrete applications, we propose modified versions of the MPC-friendly schemes MiMC, HadesMiMC, and (partially of) Hydra, and of the FHE-friendly schemes Masta, Pasta, and Rubato. By instantiating them with the bounded surjective quadratic functions proposed in this paper, we are able to improve the security and/or the performances in the target applications/protocols.
Zero convergent solutions for a class of p-laplacian systems

We present some results about the existence of positive decaying solutions for a class of systems of two second order coupled nonlinear equations with $p$-laplacian operator, $p>1$. In addition, the generalized Emden-Fowler type systems are considered and necessary and sufficient conditions are given in order for the system to have regularly and/or strongly decaying solutions. The results here presented complete the ones in our previous paper.
Strategi Brand Affect Terhadap Brand Loyalty yang dipengaruhi Social Media Marketing dan Trust pada Bank BNI Syariah Cabang Surakarta

Penelitian ini bertujuan untuk mengetahui dan menganalisis secara empiris pengaruh Social media marketing dan trust terhadap brand affect dan brand loyalty Bank BNI Syariah Cabang Surakarta. Penelitian ini dilakukan dengan mengambil lokasi penelitian pada Bank BNI Syariah Cabang Surakarta di Kabupaten Karanganyar. Dalam penelitian ini yang menjadi objek penelitian ini adalah nasabah Asuransi BNI Life pada Bank BNI Syariah Cabang Surakarta. Variabel independen terdiri dari Social media marketing dan trust sedangkan variabel intervening adalah Brand affect dan variabel dependen adalah brand loyalty. Hasil analisis menunjukkan: Social media marketing berpengaruh positif dan tidak signifikan terhadap Brand affect di Bank BNI Syariah Cabang Surakarta. Trust berpengaruh positif dan signifikan terhadap Brand affect di Bank BNI Syariah Cabang Surakarta. Social media marketing berpengaruh positif dan signifikan terhadap Brand loyalty di Bank BNI Syariah Cabang Surakarta. Trust berpengaruh positif dan signifikan terhadap Brand loyalty di Bank BNI Syariah Cabang Surakarta. Brand affect berpengaruh positif dan signifikan terhadap Brand loyalty di Bank BNI Syariah Cabang Surakarta. Hasil uji secara serempak (Uji F) pada persamaan kedua diketahui besarnya nilai F = 40,282 signifikansi 0,000<0,05, sehingga dapat disimpulkan secara bersama-sama bahwa Social media marketing, trust dan brand affect berpengaruh signifikan terhadap Brand loyalty di Bank BNI Syariah Cabang Surakarta. Hasil R2 total varianel dependen Brand loyalty di Bank BNI Syariah Cabang Surakarta dijelaskan oleh variabel Social media marketing, trust, dan Brand affect sebesar 80,8% dan sisanya 19,2% dijelaskan variabel lain diluar model penelitian yaitu lokasi, brand image, dan sebagainya. Hasil analisis jalur menunjukkan bahwa: Pengaruh langsung Social media marketing terhadap brand loyalty lebih besar dari pengaruh tidak langsung, sehingga untuk meningkatkan brand loyalty lebih efektif melalui jalur langsung. Pengaruh langsung trust terhadap brand loyalty lebih besar dari pada pengaruh tidak langsung, sehingga untuk meningkatkan brand loyalty lebih efektif melalui jalur langsung.