Miracle-dz/UniFAR-FTUs huggingface dataset:
Radiopurity of ZnWO4Crystal Scintillators

Radiopurity of ZnWO4 Crystal Scintillators P. Belli, R. Bernabeia,∗, F. Cappella, R. Cerulli, F.A. Danevich, A.M. Dubovik, S. d’Angelo, E.N. Galashov , B.V. Grinyov, A. Incicchitti, V.V. Kobychev, L.L. Nagornaya, S. Nisi, F. Nozzoli, D.V. Poda, R.B. Podviyanuk, D. Prosperi, V.N. Shlegel , V.I. Tretyak, Ya.V. Vasiliev and Yu.Ya. Vostretsov Dipartimento di Fisica, Università di Roma “Tor Vergata” and INFN, Sezione di Roma, I-00133 Rome, Italy Dipartimento di Fisica, Università di Roma “La Sapienza” and INFN, Sezione di Roma, I-00185 Rome, Italy INFN, Laboratori Nazionali del Gran Sasso, 67010 Assergi (AQ), Italy Institute for Nuclear Research, MSP 03680 Kyiv, Ukraine Institute for Scintillation Materials, 61001 Kharkiv, Ukraine Nikolaev Institute of Inorganic Chemistry, 630090 Novosibirsk, Russia
HPMC (hydroxypropyl methylcellulose) as a fat replacer improves the physical properties of low-fat tofu.

BACKGROUND The effect of the addition of hydroxypropyl methylcellulose (HPMC) on the textural properties of low-fat tofu was investigated. Three fat levels (240, 100 and 30 g kg-1 ) were used to make tofu, which were identified as C (full-fat tofu), L1 and L2. HPMC (5 g kg-1 ) was added to soymilk to prepare control and low-fat tofu, designated as CH, L1H and L2H. RESULTS Soymilk with a lower fat level had a lower viscosity: 143 (C), 100 (L1) and 42 (L2) cP. The addition of HPMC increased the viscosity of all types of soymilk, particularly in L2H (107 cP). With fat reduction, tofu syneresis increased from 19% (C) to 29% (L2), although syneresis of L2H recovered to 19%, which is similar to high-fat control tofu. Decreased fat resulted in a lower firmness in L2 (0.67 N) compared to control (0.78 N). Firmness increased to 1.08 N in L2H tofu, whereas the firmness of CH tofu was 0.63 N. All types of tofu showed a denser, well-connected and cross-linking structure when HPMC was added, especially in L2H tofu. CONCLUSION HPMC improved the texture of the low-fat tofu by creating a harder texture and reducing syneresis. HPMC is an effective fat replacer for lower fat soymilk. © 2017 Society of Chemical Industry.
Influence of melatonin associated with the Bio-Gide® membrane on osteoblast activity: an in vitro Study

ABSTRACT Melatonin (MLT) is a hormone responsible for regulating several physiological processes. It has been shown that MLT can be an important mediator in bone formation and stimulation, promoting osteoblast differentiation. In clinical practice, in tissue regeneration procedures, it is necessary to use membranes or barriers, associated with biomaterials, or not. The aim of this in vitro study was to assess the effect of melatonin on the activity of osteoblastic cells, associated, or not, with a resorbable collagen membrane (Bio-Gideä). For this, mice-derived pre-osteoblastic cells MC3T3 obtained from the ATCC (American Type Culture Collection) were used. Cultured cells were subject to the following treatments: MLT with a concentration of 1mM, a Bio-Gideä membrane and a membrane associated with MLT (Bio-Gideä + MLT). Proliferation and cell viability assays and protein lysate (ELISA test) quantification for the BMP-2 protein were carried out, in periods of 72 hours, 7 days and 10 days. After analyzing the data (one-way ANOVA, alpha=5%) it was observed that when MLT was used in isolation, there was an increase in cell proliferation and viability in osteoblastic cells (p<0.05). But, when MLT was associated with resorbable membranes, there was an inverse behavior, both in terms of proliferation and viability (p<0.05). In the case of the ELISA test, no secretion of BMP-2 was detected in any of the analyzed groups. It is concluded that MLT has a stimulatory effect on osteoblasts, but, when associated with Bio-Gideä resorbable membranes, it does not show any viable action in osteoblastic cell stimulation.
Overview of Lettuce Production Systems and Cultivars Used in Hydroponics and Protected Culture in Florida

With correct variety selection and protected culture strategies, lettuce is a crop that can present even the novice grower with a fast-growing commodity for market sale. This 6-page fact sheet includes brief descriptions of hydroponic lettuce production systems, cultivars, and a table summarizing the lettuce types successfully grown in Florida using protected agriculture and hydroponic techniques. It was written by Natalie B. Parkell, Robert C. Hochmuth, and Wanda L. Laughlin, and published by the UF Department of Horticultural Sciences, March 2015. (Photo: UF/IFAS) HS1258/HS1258: An Overview of Lettuce Production Systems and Cultivars Used in Hydroponics and Protected Culture in Florida (ufl.edu)
Cervical Cancer Diagnosis Using an Integrated System of Principal Component Analysis, Genetic Algorithm, and Multilayer Perceptron

Cervical cancer is one of the most dangerous diseases that affect women worldwide. The diagnosis of cervical cancer is challenging, costly, and time-consuming. Existing literature has focused on traditional machine learning techniques and deep learning to identify and predict cervical cancer. This research proposes an integrated system of Genetic Algorithm (GA), Multilayer Perceptron (MLP), and Principal Component Analysis (PCA) that accurately predicts cervical cancer. GA is used to optimize the MLP hyperparameters, and the MLPs act as simulators within the GA to provide the prediction accuracy of the solutions. The proposed method uses PCA to transform the available factors; the transformed features are subsequently used as inputs to the MLP for model training. To contrast with the PCA method, different subsets of the original factors are selected. The performance of the integrated system of PCA–GA–MLP is compared with nine different classification algorithms. The results indicate that the proposed method outperforms the studied classification algorithms. The PCA–GA–MLP model achieves the best accuracy in diagnosing Hinselmann, Biopsy, and Cytology when compared to existing approaches in the literature that were implemented on the same dataset. This study introduces a robust tool that allows medical teams to predict cervical cancer in its early stage.
Influence of the cosmic repulsion on the MOND model of the Magellanic Cloud motion in the field of Milky Way

It has been recently shown that the cosmic repulsion can have a highly significant influence on the motion of Magellanic Clouds (MC) in the gravitational field of Milky Way, treated in the framework of the Cold Dark Matter (CDM) halo model. However, there is an alternative to the CDM halo explanation of the rotation curves in the periphery of spiral galaxies, based on MOdified Newtonian Dynamics (MOND). Therefore, we study the role of the cosmic repulsion in the framework of the MOND theory applied to determine the MC motion. Our results demonstrate that in the MOND framework the influence of the cosmic repulsion on the motion of both Small and Large MC is also highly significant, but it is of a different character than in the framework of the CDM halo model. Moreover, we demonstrate that the MC motion in the framework of the CDM halo and MOND models is subtantially different and can serve as a test of these fundamentally different approaches to the explanation of the phenomena related to galaxies and the motion of satellite galaxies.
FATSS: Filter-Assisted Tuple Space Search for Packet Classification

Packet Classification is a key part of supporting lots of network functions. Various algorithms have been proposed over the years to meet the increasing performance requirements of packet classification. Tuple space search (TSS) is one of the most popular algorithms and well-suited to scenarios requiring efficient online updates. However, the huge number of tuples in the algorithm leads to numerous memory accesses during packet classification, which limits the classification performance. This paper proposes a novel model named FATSS, which uses Filters to Assist the Tuple Space Search algorithm and reduces the number of tuple accesses. We first create the ImCuckoo Filter by improving the Cuckoo Filter from its structure, capacity and hash calculation. Then, we embed ImCuckoo Filter into TSS in two ways (online and offline) to adapt to diverse scenarios and requirements. By the experiments, it can be found that the ImCuckoo Filter can reduce more than 80% of tuple accesses. Furthermore, the access time of the filter is no more than 60% compared with that of the hash table. The experimental results show that the classification time of FATSS is 17%–19% faster than that of existing widely used algorithms.
P014 Go to bed! A Systematic Review and Meta-analysis of Bedtime Procrastination Correlates and Sleep Outcomes

Abstract Introduction Bedtime procrastination is defined as the volitional delay of going to bed, without any external circumstances causing the delay, and is associated with inadequate sleep. Alleviating bedtime procrastination may be an important target for interventions promoting adequate sleep, yet the correlates of bedtime procrastination are poorly understood. This study examined (1) correlates of bedtime procrastination, and (2) strength and direction of the association between bedtime procrastination and sleep outcomes. Methods Six databases (CINAHL, EMBASE, PsychINFO, PubMed, Scopus, Web of Science) were searched from inception to September 2021 against pre-determined eligibility criteria. Results Forty-three studies were included (GRADE = low). Meta-analysis revealed that bedtime procrastination had a moderate negative association with self-control (z = -0.39; CI: -0.45, -0.29) and a moderate positive association with evening chronotype (z = 0.43; CI: 0.32, 0.48). Furthermore, bedtime procrastination was moderately negatively associated with sleep duration (z = -0.31; CI: -0.37, -0.24), sleep quality (z = -0.35; CI: -0.42, -0.27) and moderately positively associated with daytime fatigue (z = 0.32; CI: 0.25, 0.38). Conclusion Further high-quality studies are needed to identify causal relationships between bedtime procrastination and correlates, as well as bedtime procrastination and sleep. Future work will guide the development of interventions targeting bedtime procrastination for improved sleep outcomes.
Exploring the implications of changing census output geographies for the measurement of residential segregation: the example of Northern Ireland 1991–2001

Summary. One problem in analysing social and demographic change through time by using census data arises from differences in the size and shape of the geographical units that are used to output data between different years. Failure to correct for changing output geographies may lead to unknown and possibly large biases when comparing results through time between different censuses. The paper addresses this issue by using the example of residential segregation in Northern Ireland. It has two main objectives. Firstly, by compiling 2001 Northern Ireland census data on 1991 census output geographies it assesses the sensitivity of indices of residential segregation to these changes in geographical units. Secondly, it suggests a method by which census analysts can assess how sensitive their results are to changing output geographies when they cannot correct for these changes and must work with the data ‘as they are’. A subsidiary aim is to contribute to the evidence base on residential segregation in Northern Ireland. The paper finds that indices of residential segregation are insensitive to changes in output geographies between 1991 and 2001. The reason suggested for this is that the units in each zonal geography are smaller than the spatial scale over which population counts are positively auto‐correlated. The use of spatially weighted segregation indices is advanced as a generalizable means of learning about the geographical patterning of population in different censuses. It is argued that these insights combined with knowledge of the size of geographical units used in each census can help researchers elsewhere to judge how sensitive their results might be to changing census output geographies through time.
In search of soft power: mapping the expert community with a bibliometric network analysis

ABSTRACT Soft power is one of the most influential concepts in the discipline of international relations, yet it is highly criticized for ambiguity and analytical weakness. Thus, through thoughtful literature reviews, scholars continue with clarifying and mapping the theory within a broader political power research programme. It is in this scholarly context that this article offers tools from a bibliometric network analysis that could be useful in understanding scholarly approaches to soft power. The constructed network of authors with edges representing connections set on keywords allows us to demonstrate the place of the soft power expert community and the proximity of corresponding research interests.
Magneto-Plasmonic Nanoantennas: Basics and Applications (Review)

Plasmonic nanoantennas is a hot and rapidly expanding research field. Here we overview basic operating principles and applications of novel magneto-plasmonic nanoantennas, which are made of ferromagnetic metals and driven not only by light, but also by external magnetic fields. We demonstrate that magneto-plasmonic nanoantennas enhance the magneto-optical effects, which introduces additional degrees of freedom in the control of light at the nano-scale. This property is used in conceptually new devices such as magneto-plasmonic rulers, ultra-sensitive biosensors, one-way subwavelength waveguides and extraordinary optical transmission structures, as well as in novel biomedical imaging modalities. We also point out that in certain cases 'non-optical' ferromagnetic nanostructures may operate as magneto-plasmonic nanoantennas. This undesigned extra functionality capitalises on established optical characterisation techniques of magnetic nanomaterials and it may be useful for the integration of nanophotonics and nanomagnetism on a single chip.
On the interpretation of raw fundamental frequency tracings

This paper describes a procedure with which complex raw fundamental frequency (Fo) tracings can be dissolved into their constituent components, namely 1) the intonation contour of the sentence, 2) the Fo patterns associated with stress groups, 3) Fo movements pertaining to individual segments (vowels), 4) intrinsic Fo differences between segments (vowels), and 5) coarticulatory Fo variations. The problems inherent in such a procedure are discussed as are assumptions of underlying physiological production models of and perceptual correlates to the physical signal.
Motion Planning with Six Degrees of Freedom. Revision

Abstract : The motion planning problem is of central importance to the fields of robotics, spatial planning, and automated design. An implemented algorithm is presented for the 'classical' formulation of the three-dimensional Movers' problem: Given an arbitrary rigid polyhedral moving object 'p' with three translational and three rotational degrees of freedom, find a continuous, collision free path taking 'p' from some initial configuration to a desired goal configuration. This thesis describes the first known implementation of a complete algorithm (at a given resolution) for the full six degree of freedom Movers' problem. The algorithm transforms the six degree of freedom planning problem into a point navigation problem in a six-dimensional configuration space (called C-Space). The C-Space obstacles, which characterize the physically unachievable configurations, are directly represented by six-dimensional manifolds whose boundaries are five dimensional C-surfaces. By characterizing these surfaces and their intersection collision-free paths may be found by the closure of three operators which (i) slide along 5-dimensional level C-surfaces parallel to C-Space obstacles; (ii) slide along 1- to 4-dimensional intersections of level C-surfaces; and (iii) jump between 6-dimensional obstacles.
X-Ray Observations of the W 51 Complex with Suzaku

We present a detailed analysis of X-ray emission from the middle-aged supernova remnant W 51 C and starforming region W 51 B with Suzaku. The soft X-ray emission from W 51 C is well-represented by an optically thin thermal plasma in a non-equilibrium ionization state with a temperature of � 0.7 keV. The elemental abundance of Mg is significantly higher than the solar value. We find no significant feature of an over-ionized plasma in W 51 C. The hard X-ray emission is spatially coincident with the molecular clouds associated with W 51 B, overlapping with W 51 C. The spectrum is represented by an optically thin thermal plasma with a temperature of � 5 keV, or a powerlaw model with a photon index of � 2.2. The emission probably has a diffuse nature, since its luminosity of 1 � 10 34 erg s � 1 in the 0.5–10 keV band cannot be explained by any emission from point sources in this region. We discuss the possibility that the hard X-ray emission comes from stellar winds of OB stars in W 51 B, or accelerated
Double Power-Normal Transformation and Its Performances--An Extensive Version of Box-Cox Transformation

In this paper, we propose double power-normal transormation that can effectively be used in the analysis of linear models and also in regression analysis, where achieve ment of the normality of transformed response variable and the linearity of its expected value as a predictor are treated separately. We examine the effectiveness of our trans formation with some examples. To investigate the performances of our double power normal transformation (DPNT), we compare it with the ordinary power-normal trans formation (PNT) by Box and Cox (1964), and also with the marginal and joint power normal transformations for explanatory and response variables proposed by Goto et al. (1983). From these results, we recommend the DPNT as a complementary transforma tion of the PNT, in the view of covering a certain kind of extended situation different from those seen for the PNT.
Preparation and Characterization of Magnetic Metal–Organic Frameworks Functionalized by Ionic Liquid as Supports for Immobilization of Pancreatic Lipase

Enzymes are difficult to recycle, which limits their large-scale industrial applications. In this work, an ionic liquid-modified magnetic metal–organic framework composite, IL-Fe3O4@UiO-66-NH2, was prepared and used as a support for enzyme immobilization. The properties of the support were characterized with X-ray powder diffraction (XRD), Fourier-transform infrared (FTIR) spectra, transmission electron microscopy (TEM), scanning electronic microscopy (SEM), and so on. The catalytic performance of the immobilized enzyme was also investigated in the hydrolysis reaction of glyceryl triacetate. Compared with soluble porcine pancreatic lipase (PPL), immobilized lipase (PPL-IL-Fe3O4@UiO-66-NH2) had greater catalytic activity under reaction conditions. It also showed better thermal stability and anti-denaturant properties. The specific activity of PPL-IL-Fe3O4@UiO-66-NH2 was 2.3 times higher than that of soluble PPL. After 10 repeated catalytic cycles, the residual activity of PPL-IL-Fe3O4@UiO-66-NH2 reached 74.4%, which was higher than that of PPL-Fe3O4@UiO-66-NH2 (62.3%). In addition, kinetic parameter tests revealed that PPL-IL-Fe3O4@UiO-66-NH2 had a stronger affinity to the substrate and, thus, exhibited higher catalytic efficiency. The results demonstrated that Fe3O4@UiO-66-NH2 modified by ionic liquids has great potential for immobilized enzymes.
Outflows and mass accretion in collapsing dense cores with misaligned rotation axis and magnetic field

Outflows and jets are intimately related to the formation of stars, and play an important role in redistributing mass, energy and angular momentum within the dense core and parent cloud. The interplay between magnetic field and rotation is responsible for launching these outflows, whose formation has been generally carried out for idealized systems where the angle α between the rotation axis and large-scale magnetic field is zero. Here we explore, through three-dimensional ideal magnetohydrodynamic simulations, the effects of a non-zero α on the formation of outflows during the collapse of dense pre-stellar cores. We find that mass ejection is less efficient for increasing angle α and that outflows are essentially suppressed for α∼ 90°. An important consequence is a corresponding increase of the mass accreted on to the adiabatic (first) core. In addition, mean flow velocities tend to increase with α, and misaligned configurations produce clumpy, heterogeneous outflows that undergo precession, and are more prone to instabilities.
Relationship between symmetry protected topological phases and boundary conformal field theories via the entanglement spectrum

Quantum phase transitions out of a symmetry-protected topological (SPT) phase in (1 + 1) dimensions into an adjacent, topologically distinct SPT phase protected by the same symmetry or a trivial gapped phase, are typically described by a conformal field theory (CFT). At the same time, the low-lying entanglement spectrum of a gapped phase close to such a quantum critical point is known (Cho et al arXiv:1603.04016), very generally, to be universal and described by (gapless) boundary conformal field theory. Using this connection we show that symmetry properties of the boundary conditions in boundary CFT can be used to characterize the symmetry-protected degeneracies of the entanglement spectrum, a hallmark of non-trivial symmetry-protected topological phases. Specifically, we show that the relevant boundary CFT is the orbifold of the quantum critical point with respect to the symmetry group defining the SPT, and that the boundary states of this orbifold carry a quantum anomaly that determines the topological class of the SPT. We illustrate this connection using various characteristic examples such as the time-reversal breaking ‘Kitaev chain’ superconductor (symmetry class D), the Haldane phase, and the Z8 classification of interacting topological superconductors in symmetry class BDI in (1 + 1) dimensions.
Aspects of finite temperature corrections in string theory

In this thesis some aspects of temperature corrections in string theory are analyzed: in particular, we study the thermal contributions to the 4 dimensional effective potential arising from string theory compactifications. String theory predicts that the spacetime has more than 4 dimensions; in particular, supersymmetric string theories are consistent only if the spacetime has 10 dimensions, 1 time plus 9 space directions. In order to describe the physics of our Universe with string theory we make 6 spatial directions very small, namely, we curl them into a 6-dimensional space. The resulting 4-dimensional theory depends on a large number of parameters which are massless scalar fields called moduli. The different values that the moduli can take represent both the possible deformations of the 6dimensional compact space and the values of the coupling constants and masses in the 4-dimensional spacetime. Allowing them to have arbitrary values leads to a lack of predictability of various 4D physical quantities, to a huge vacuum degeneracy and to unobserved long range fifth forces. In the thesis we review some methods established in the literature in order to fix the moduli values and hence to fix a particular geometry and we investigate how the inclusion of temperature corrections alter their values and affect the geometry of the compact space. The analysis seems to suggest that at least in the specific compactification scenarios considered in this thesis, temperature corrections do no alter substantially the zero temperature results. In the final part of this work, we analyze instead an example in which the inclusion of temperature corrections alters dramatically the picture at zero temperature. In particular, we study an unstable system constituted by a pair of Dirichlet (D) and anti-D brane that, although being unstable at zero temperature, it can become stable once finite temperature corrections are switched on.