Miracle-dz/UniFAR-FTUs huggingface dataset:
Particle size and zeta potential investigation of synthetic peptide-protein conjugates

: Objective: Synthetic peptides are not sufficiently large or complex by themselves to induce immune system because of their small size. Synthetic peptides are usually conjugated to different carriers such as proteins and poly-electrolytes to enhance their immunogenic properties and antigen-specific antibody production (Abs) rate. Thus, the aim of this study is synthesis of peptide-protein covalent conjugates, and size and zeta potential analysis of these conjugates. Methods: In this study, synthetic peptide antigen of the 135-161 amino acids sequence of immunogenic VP1 capsid protein of “A” type foot-and-mouth disease virus (FMDV) was covalently conjugated to bovine serum albumin (BSA) with the carbodiimide method by using 1-ethyl-3-(3-dime-thylaminopropyl) carbodiimide hydrochloride (EDC) at different molar ratios of peptide ( γ = n Peptide / n BSA ). Particle size and zeta potential analysis of peptide-protein bioconjugates have been performed by using dynamic and electrophoretic light-scattering methods. Results: The size and surface charge of bioconjugates are important factors in a synthetic peptide vaccine. Never-theless, there virtually no research has been conducted on zeta potential and the size of peptide-protein bioconjugates detailed. Conclusion: Dynamic and electrophoretic light scattering analyses clearly demonstrated that zeta potential of the FMDV 135-161 synthetic peptide-BSA conjugates shifts to less negative potentials and particle sizes increase as the amount of peptide increased in conjugates. The data about peptide-carrier protein conjugates obtained by using these methods are very important for developing peptide-based vaccines.
SOME PROBLEMS CONCERNING THE SOLVABILITY OF THE NONLINEAR STATIONARY BOLTZMANN EQUATION IN THE FRAMEWORK OF THE BGK MODEL

In the framework of the BGK (Bhatnagar–Gross–Krook) model, we derive a system of nonlinear integral equations for the macroscopic variables both in a ﬁnite plane channel Π r of thickness r ( r < + ∞ ) and in the subspace Π ∞ ( r = + ∞ ) from the nonlinear integro-diﬀerential Boltzmann equation. Solvability problems are discussed and solution methods are suggested for these systems of nonlinear integral equations. Theorems on the existence of bounded positive solutions are proved and two-sided estimates of these solutions are obtained for the resulting nonlinear integral equations of the Urysohn type describing the temperature (Theorems 1 and 3). A theorem on the existence of a unique solution in the space L 1 [0 ,r ] is proved for the linear integral equations describing the velocity and density. Integral estimates for the solutions are obtained (see Theorem 2 and the Corollary). The nonlinear system of integral equations in the subspace obtained for the macro- scopic variables in the framework of the nonlinear BGK model of the Boltzmann equation is shown to have no bounded solutions with ﬁnite limit at inﬁnity other than a constant solution. The solution of the linear problem obtained by linearizing the corresponding non- linear system is proved to be O ( x ) as x → + ∞ (Theorem 3).
IN VITRO MICROPROPAGATION ON SHOOT TIP EXPLANTS OF GLORIOSA SUPERBA L. – AN ENDANGERED MEDICINAL PLANT

The in vitro cultivation of mature plant shoot tip explants was used to construct an in vitro micropropagation strategy for the annual medicinally Gloriosa superba L. Shoot tips from 30-35-day-old field-grown plants were employed for in vitro micropropagation shoot tip explants culture. Surface sterilizing of shoot tips was found to be most effective after three minutes in 0.1% HgCl 2 solution. For the main establishment of isolated shoot tips on MS medium supplemented with (BAP/Kn/TDZ) (0.5-3.0mg/L), IAA (0.5 mg/L) + (BAP /Kn/ TDZ) (0.5-3.0 mg/L), and (BAP/Kn/TDZ) (0.5-3.0 mg/L) for multiple shoot induction. Within four weeks of culture, multiple shoot bud proliferation was seen at IAA (0.5 mg/L) + (2.0 mg/L) TDZ from shoot explants. The number of shoots per explant varied between 2 and 6. Several shoots were under aseptic conditions removed and subcultures in the same medium to extend the shoot. For root induction, the possibly resulting were transplanted to IAA/IBA (0.0mg/L-2.0mg/L). Within two weeks of culture, rooting was seen. Rooted plantlets were successfully toughened under culture conditions before being planted in the field. The recorded plant survival percentage was 86%. The plants appeared to be in good condition, with no visible phenotypic differences. With an 87% survival rate, the plantlets (12-16 weeks old) were successfully acclimatized to soil.
Tensor-Train Kernel Learning for Gaussian Processes

We propose a new kernel learning approach based on efficient low-rank tensor compression for Gaussian process (GP) regression. The central idea is to compose a low-rank function represented in a hierarchical tensor format with a GP covariance function. Compared to similar deep neural network architectures, this approach facilitates to learn significantly more expressive features at lower computational costs as illustrated in the examples. Additionally, over-fitting is avoided with this compositional model by taking advantage of its inherent regularisation properties. Estimates of the generalisation error are compared to five baseline models on three synthetic and six real-world data sets. The experimental results show that the incorporated tensor network enables a highly accurate GP regression with a comparatively low number of trainable parameters. The observed performance is clearly superior (usually by an order of magnitude in mean squared error) to all examined standard models, in particular to deep neural networks with more than 1000 times as many parameters.
Smart And Secure Storage System Based On Nosql Databases

— Cloud Computing which is emerging as one of the trends in computer world. Nowadays each and every organization is migrating to cloud at a principle “Data Any Where ,At Any Time”. However when data grows large in size it needs to stored in an optimized way . When Optimization is considered the data should be converted into table form for easy access and retrieval . While Storing on table form it can be done in Relational Database System. When the data grows exponentially the RDBMS is not suitable. To resolve this problem the NoSQL arises with Document Object Model where we can store any amount of huge data in the form of objects . However some of the cloud functionalities involves the usage of cloud storage without secure due to cost effective. Inorder to Protect the data we have proposed an idea to implement a storage of encrypted data from client side to cloud storage by using Android application as an interface.
Prediction of Mortality and Intervention in COVID-19 Patients Using Generative Adversarial Networks

The COVID-19 pandemic hits worldwide with a signiﬁcant number of deaths and poses a major threat to public health. Accurate predictions of the risk of death and medical interventions are crucial for the survival of infected patients and the distribution of limited medical resources. Although machine learning classiﬁers can be used to predict mortality and medical interventions, it is problematic to employ the methods because training data are limited whose attributes may be missing and classes may be imbalanced. To effectively cope with these problems, we construct HexaGAN with a hint mechanism to predict the survival of the patients and medical interventions such as intubation and supplemental oxygen. In experiments, our method outperforms combinations of existing techniques for limited data problems. Notably, our method showed about twice higher performance than benchmarks in predicting deceased patients correctly. We anticipate that our approach could help provide appropriate treatments on time, allocate limited medical resources efﬁciently, and ultimately reduce the mortality rate of COVID-19 patients.
An analytical algorithm for 3D magnetic field mapping of a watt balance magnet

A yoke-based permanent magnet, which has been employed in many watt balances at national metrology institutes, is supposed to generate strong and uniform magnetic field in an air gap in the radial direction. However, in reality the fringe effect due to the finite height of the air gap will introduce an undesired vertical magnetic component to the air gap, which should either be measured or modeled towards some optimizations of the watt balance. A recent publication, i.e. Li et al (2015 Metrologia 52 445), presented a full field mapping method, which in theory will supply useful information for profile characterization and misalignment analysis. This article is an additional material of Li et al (2015 Metrologia 52 445), which develops a different analytical algorithm to represent the 3D magnetic field of a watt balance magnet based on only one measurement for the radial magnetic flux density along the vertical direction, Br(z). The new algorithm is based on the electromagnetic nature of the magnet, which has a much better accuracy.
Gravitational interaction of antimatter

Until now, there is no experimental evidence on the gravitational behaviour of antimatter. While we may be confident that antimatter attracts antimatter, we do not know anything on the interaction between matter and antimatter. We investigate this issue on theoretical grounds. Starting from the CPT invariance of physical laws, we transform matter into antimatter in the equations of both electrodynamics and gravitation. In the former case, the result is the well-known change of sign of the electric charge. In the latter, we find that the gravitational interaction between matter and antimatter is a mutual repulsion. This result supports cosmological models attempting to explain the Universe accelerated expansion in terms of a matter-antimatter symmetry.
How likely is an inflation disaster?⇤

The prices of long-dated inflation swap contracts provide a much-used estimate of expected inflation at far horizons. This paper develops the methods to estimate complementary tail probabilities for persistently very high or very low inflation using the prices of inflation options. For the object of interest—inflation disasters at long horizons—we show that three adjustments to conventional measures are crucial: for real payoffs, risk, and horizon. Applying the method to the United States (US) and the Eurozone (EZ) we find that (i) the probability of US deflation in 2011-14 was not very high, (ii) the tail probability of a deflation trap in the EZ post 2015 has been high throughout in spite of varying policies meant to address this issue, as well as shocks, and (iii) there was a significant steady rise in 2021 in the risk of persistent high US inflation, and a sharp rise in 2022 in the EZ. JEL codes: E31, E44, G13.
Distinguishing Invasive from Chronic Pulmonary Infections: Host Pentraxin 3 and Fungal Siderophores in Bronchoalveolar Lavage Fluids

The multiple forms of pulmonary aspergillosis caused by Aspergillus species are the most common respiratory mycoses. Although invasive, the analysis of diagnostic biomarkers in bronchoalveolar lavage fluid (BALF) is a clinical standard for diagnosing these conditions. The BALF samples from 22 patients with proven or probable aspergillosis were assayed for human pentraxin 3 (Ptx3), fungal ferricrocin (Fc), and triacetylfusarinine C (TafC) in a retrospective study. The infected group included patients with invasive pulmonary aspergillosis (IPA) and chronic aspergillosis (CPA). The BALF data were compared to a control cohort of 67 patients with invasive pulmonary mucormycosis (IPM), non-Aspergillus colonization, or bacterial infections. The median Ptx3 concentrations in patients with and without aspergillosis were 4545.5 and 242.0 pg/mL, respectively (95% CI, p < 0.05). The optimum Ptx3 cutoff for IPA was 2545 pg/mL, giving a sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of 100, 98, 95, and 100%, respectively. The median Ptx3 concentration for IPM was high at 4326 pg/mL. Pentraxin 3 assay alone can distinguish IPA from CPA and invasive fungal disease from colonization. Combining Ptx3 and TafC assays enabled the diagnostic discrimination of IPM and IPA, giving a specificity and PPV of 100%.
Axion cooling of white dwarfs

The cooling rate of the white dwarf star G117-B15A has been recently measured using asteroseismological techniques. It has been found that it is higher than predicted from current theoretical models. As the modifications introduced into the standard models to accomodate such a result are not satisfactory, we propose to interpret this phenomenon in terms of axion cooling. We show in this paper that in order to account for the properties of G117-B15A, the mass of the axions should be 0.008 eV, a quantity that is compatible with all the other astrophysical bounds.
THE PHOTOMETRIC PROPERTIES OF A VAST STELLAR SUBSTRUCTURE IN THE OUTSKIRTS OF M33

We have surveyed approximately 40 deg2 surrounding M33 with Canada–France–Hawaii Telescope MegaCam/MegaPrime in the g and i filters out to a maximum projected radius from this galaxy of 50 kpc, as part of the Pan-Andromeda Archaeological Survey (PAndAS). Our observations are deep enough to resolve the top ∼4 mag of the red giant branch population in this galaxy. We have previously shown that the disk of M33 is surrounded by a large, irregular, low surface brightness substructure. Here, we quantify the stellar populations and structure of this feature using the PAndAS data. We show that the stellar populations of this feature are consistent with an old population with 〈[Fe/H]〉 ∼ −1.6 dex and an interquartile range in metallicity of ∼0.5 dex. We construct a surface brightness map of M33 that traces this feature to μV ≃ 33 mag arcsec−2. At these low surface brightness levels, the structure extends to projected radii of ∼40 kpc from the center of M33 in both the northwest and southeast quadrants of the galaxy. Overall, the structure has an “S-shaped” appearance that broadly aligns with the orientation of the H i disk warp. We calculate a lower limit to the integrated luminosity of the structure of −12.7 ± 0.5 mag, comparable to a bright dwarf galaxy such as Fornax or Andromeda II and slightly less than 1% of the total luminosity of M33. Further, we show that there is tentative evidence for a distortion in the distribution of young stars near the edge of the H i disk that occurs at similar azimuth to the warp in H i. The data also hint at a low-level, extended stellar component at larger radius that may be an M33 halo component. We revisit studies of M33 and its stellar populations in light of these new results and discuss possible formation scenarios for the vast stellar structure. Our favored model is that of the tidal disruption of M33 in its orbit around M31.
Unweaving the Fabric of the Universe: The Interplay between Mathematics and Physics

Our conventional understanding of space-time, as well as our notion of geometry, break down once we attempt to describe the very early stages of the evolution of our universe. The extreme physical conditions near the Big Bang necessitate an intimate interplay between physics and mathematics. The main challenge is the construction of a theory of quantum gravity, the long-sought unification of Einstein's general relativity with quantum mechanics. There are several attempts to formulate such a theory; they can be tested against experimental and observational results coming from high energy physics and astrophysics, leading to a remarkable interplay between gravity, particle physics and cosmology.
Interventions for Attention and Working Memory

Cognitive rehabilitation is broadly dei ned as a systematic intervention designed to compensate for or ameliorate the impact of cognitive and/ or behavioral dii culties following a neurologic injury or illness with the ultimate goals of maximizing safety and improving daily functioning, independence, and quality of life. 1 Intervention can involve cognitive, behavioral, or pharmacologic methods. Cognitive rehabilitation is typically delivered by specialists from a variety of disciplines, including speech pathologists, occupational therapists, psychologists, and neuropsychologists. h ese specialists provide essential input into the design and delivery of interventions. Additionally, cognitive rehabilitation interventions for children are routinely implemented by teachers and therapists as part of the child’s educational program. h is book is designed as a resource for professionals of all disciplines who are interested in better understanding the existing evidence base for cognitive rehabilitation interventions for children with neurological disorders. h e inspiration for this book was our 2014 continuing education seminar at the annual meeting of the American Academy of Clinical Neuropsychology (AACN), titled, “Cognitive Rehabilitation in Children and Adolescents with Acquired Brain Injury. ” h e focus of that seminar was evidencebased interventions in traditional acquired brain injury (ABI) rehabilitation populations, such as traumatic brain injuries, strokes, and tumors. However, the literature describing the ei cacy of cognitive rehabilitation in children has also focused on conditions such as autism, learning disabilities, and attentiondei cit hyperactivity disorder in addition to ABI. In fact, the term “neurodevelopmental disabilities” (NDD) is increasingly used in place of or synonymously with “developmental disabilities,” consistent with an increased understanding that many childhood disorders have neurological bases. 2 For the purpose of this book, a neurological condition is an insult that disrupts the trajectory of brain function at any time in the course of neurodevelopment. h us, professionals providing cognitive rehabilitation to children and adolescents with neurological conditions need to have a strong understanding of both typical and disrupted neurodevelopment. Over the past two decades, the i eld of cognitive rehabilitation has expanded signii cantly. In adults with traumatic brain injuries and strokes, the literature on the ei cacy of cognitive rehabilitation includes a growing number of studies (for review, see 3 , 4 ). A manual for clinicians has also been developed that describes many of the evidencebased interventions in detail. 1 In contrast, only a few studies have examined ei cacy of intervention techniques for children with brain injury or other types of neurological disorders 5 – 7 and most recent reviews have focused primarily on working memory training. Although the vast majority of research has focused primarily upon adults, researchers and clinicians have begun to use Introduction
Full two-photon down-conversion of a single photon

We demonstrate, both numerically and analytically, that it is possible to generate two photons from one and only one photon. We characterize the output two photon field and make our calculations close to reality by including losses. Our proposal relies on real or artificial three-level atoms with a cyclic transition strongly coupled to a one-dimensional waveguide. We show that close to perfect downconversion with efficiency over 99% is reachable using state-of-the-art Waveguide QED architectures such as photonic crystals or superconducting circuits. In particular, we sketch an implementation in circuit QED, where the three level atom is a transmon.
The nullity of bicyclic signed graphs

Let be a signed graph and let be the adjacency matrix of. The nullity of is the multiplicity of eigenvalue zero in the spectrum of. In this paper, we characterize the signed graphs of order with nullity or, and introduce a graph transformation which preserves the nullity. As an application we determine the unbalanced bicyclic signed graphs of order with nullity or, and signed bicyclic graphs (including simple bicyclic graphs) of order with nullity.
Best possible bounds of the von Bahr--Esseen type

The well-known von Bahr--Esseen bound on the absolute $p$th moments of martingales with $p\in(1,2]$ is extended to a large class of moment functions, and now with a best possible constant factor (which depends on the moment function). This result appears to be new even for the power moments. As an application, measure concentration inequalities for separately Lipschitz functions on product spaces are obtained. Relations with $p$-uniformly smooth and $q$-uniformly convex normed spaces are discussed.
Dose-response in modulating brain function with transcranial direct current stimulation: From local to network levels

Background: Non-invasive brain stimulation methods for modulating brain activity via transcranial technologies like transcranial direct current stimulation (tDCS) are increasingly prevalent to investigate the relationship between modulated brain regions and stimulation outcomes. However, the inter-individual variability of tDCS has made it challenging to detect intervention effects at the group level. Collecting multiple modalities of magnetic resonance imaging data (i.e., structural and functional MRI) helps to investigate how dose-response ultimately shapes brain function in response to tDCS. Method: We collected data in a randomized, triple-blind, sham-controlled trial with two parallel arms. Sixty participants with MUD were randomly assigned to sham or active tDCS (n=30 per group, 2 mA, 20 minutes, anode/cathode over F4/Fp1). Structural and functional MRI (including high-resolution T1 and T2-weighted MRI, resting-state fMRI, and methamphetamine cue-reactivity task with meth versus neutral cues) were collected immediately before and after tDCS. T1 and T2-weighted MRI data were used to generate head models for each individual to simulate electric fields. Associations between electric fields (dose) and changes in brain function (response) were investigated at four different levels: (1) voxel level, (2) regional level (atlas-based parcellation), (3) cluster level (active clusters in the contrast of interest), and (4) network level (both task-based and resting-state networks). Result: At the (1) voxel-level, (2) regional level, and (3) cluster level, our results showed no significant correlation between changes in the functional activity and electric fields. However, (4) at the network level, a significant negative correlation was found between the electric field and ReHo in the default mode network (r=-0.46 (medium effect size), p corrected=0.018). For the network-level analysis of task-based fMRI data, frontoparietal connectivity showed a positive significant correlation with the electric field in the frontal stimulation site (r=0.41 (medium effect size), p corrected=0.03). Conclusion: The proposed pipeline provides a methodological framework to analyze tDCS effects in terms of dose-response relationships at four different levels to directly link the electric field (dose) variability to the variability of the neural response to tDCS. The results suggest that network-based analysis might be a better approach to provide novel insights into the dependency of the neuromodulatory effects of tDCS on the regional current dose in each individual. Dose-response integration can be informative for dose optimization/customization or predictive/treatment-response biomarker extraction in future brain stimulation studies.