Miracle-dz/UniFAR-FTUs huggingface dataset:
STUDY ON PRESSURE CONTROL OF AUTOMATED FIBER PLACEMENT PROCESS

Automated Fiber Placement (AFP) technique is now widely applied to many fields, such as aerospace and military. The automatic process can significantly save labor and reduce material scrap, especially during large-scaled composite components manufacturing. Additionally, it offers the means to form composite products of exceptional quality with higher accuracy and repeatability [1]. Obviously, the processing variables, such as temperature, pressure, rate, can greatly influence the products’ properties. Thereby, the parameter control is a critical factor and is worth studying. Compaction pressure is one of the major parameters of a final part quality [2] and the control studies have been conducted by several groups of researchers. A. B. Hulcher et al. [3] performed Optimization studies in with peel specimens. The specimens were fabricated at various compaction loads. The resulting data were fitted with quadratic response surfaces and quantitatively showed that the compaction force affects the quality of the parts significantly. M. Lee [4] studied the pressure with the pneumatic compaction mechanism, and analyzed its possible effect on the composite quality for a towpreg consolidation process. In addition, the accuracy of the compaction force was identified when a pneumatic tool of a robotic machine moving on a rigid worktable. D. H. J. A. Lukaszewicz et al. [5] established process models of mechanical properties of thermoset prepreg in the uncured state for automated layup, and found a simple plastic material law with strain hardening can be used to accurately model the material response under the pressure during automated layup of toughened epoxy prepreg. The purpose of the study was to investigate how the roller pressure affects on the prepreg when laying up and how to manufacture composite products in uniformity by pressure controlling.
Comparing Graph Layouts for Vertex Selection Tasks

Different graph layouts can affect a user's ability to complete both passive understanding and active interaction tasks. While most research exploring the effects of graph layout looks at a user's ability to accomplish a passive understanding task, this paper's novel contribution is looking at their ability to complete a selection task. Specifically we compare two graph layout algorithms with respect to their suitability for free-form multi-selection. The two layout algorithms are drawn from our previous work which established that they have significantly different understandability metric scores. A motivation for this choice was to explore whether graphs with significantly different metric scores will also have significantly different performance for selection tasks. We carried out our comparison by means of a user experiment that followed a within-subjects design, where 74 users were given a PlayStation Move controller to select vertices in 20 pairs of graphs. We found that while there was no difference in the speed of interaction there was a difference in the number of errors users made between the two layout algorithms.
Moduli Spaces of Lie Algebroid Connections

We shall prove that the moduli space of irreducible Lie algebroid connections over a connected compact manifold has a natural structure of a locally Hausdorff Hilbert manifold. This generalizes some known results for the moduli space of simple semi-connections on a complex vector bundle over a compact complex manifold. Introduction Moduli spaces have many applications in mathematics and physics. In geometry, they make it possible to construct invariants of manifolds, for example, Seiberg-Witten invariants, Gromow-Witten invariants and others, they are closely related to the subject of deformation theory. In particular, they form an indispensable tool in the study of four-manifolds (Donaldson theory, see [2]), Yang-Mills theory in physics, etc. A basic motivation for the study of moduli spaces of flat Lie algebroid connections over a compact manifold is a description of the well known results for some moduli spaces of this type in a unified treatment. Two cornerstones of this general construction consist of the moduli space of holomorphic structures on a complex vector bundle over a compact complex manifold (more about this and the related Hitchin-Kobayashi correspondence can be found in [12], [11] and [13]) and the moduli space of Higgs bundles on a compact Riemann surface, see [9]. More recent examples of this phenomenon involve the moduli space of complex B-branes and the moduli space of symplectic A-branes, based on generalized complex geometry. They play a very important role in mirror symmetry and geometric Langlands program, see [10], [8]. In the paper, we study the space of Lie algebroid connections on a vector bundle on a compact manifold M and the action of the gauge group on this space. The purpose of the paper is to demonstrate that certain moduli spaces of Lie algebroid connections on real or complex vector bundles over compact manifolds carry natural structure of a locally Hausdorff Hilbert manifold. Let L be a real or complex transitive Lie algebroid over a compact manifold M and E be a real or complex vector bundle over M . Let Â(E,L) denote the space of 2000 Mathematics Subject Classification: primary 32G13.
A Study on Lightweight Block Cryptographic Algorithm Applicable to IoT Environment

The IoT environment provides an infinite variety of services using many different devices and networks. The development of the IoT environment is directly proportional to the level of security that can be provided. In some ways, lightweight cryptography is suitable for IoT environments, because it provides security, higher throughput, low power consumption and compactness. However, it has the limitation that it must form a new cryptosystem and be used within a limited resource range. Therefore, it is not the best solution for the IoT environment that requires diversification. Therefore, in order to overcome these disadvantages, this paper proposes a method suitable for the IoT environment, while using the existing block cipher algorithm, viz. the lightweight cipher algorithm, and keeping the existing system (viz. the sensing part and the server) almost unchanged. The proposed BCL architecture can perform encryption for various sensor devices in existing wire/wireless USNs (using) lightweight encryption. The proposed BCL architecture includes a pre/post-processing part in the existing block cipher algorithm, which allows various scattered devices to operate in a daisy chain network environment. This characteristic is optimal for the information security of distributed sensor systems and does not affect the neighboring network environment, even if hacking and cracking occur. Therefore, the BCL architecture proposed in the IoT environment can provide an optimal solution for the diversified IoT environment, because the existing block cryptographic algorithm, viz. the lightweight cryptographic algorithm, can be used.
A Research Study Review of Effectiveness of Treatments for Psychiatric Conditions Common to End-Stage Cancer Patients: Needs Assessment for Future Research and an Impassioned Plea - A Commentary and Controversy

End stage cancer involves particular psychiatric conditions and their treatments that have varying degrees of effectiveness. This Commentary article covers a recent comprehensive and detailed literature review research study report centered on treatment effectiveness that also includes a methodological controversy and its resolution in which the study was involved. The resolution of this methodological controversy and mixed-method approach has far reaching implications for how these kind of studies are conducted in the future, which have substantial power to inform mental health administration and policy making. This commentary also reviews important highlights from the studies’ conclusions.
Relativity and Fundamental Physics

Laser ranging has had a long and significant role in testing general relativity and it continues to make advance in this field. It is important to understand the relation of the laser ranging to other branches of fundamental gravitational physics and their mutual interaction. The talk overviews the basic theoretical principles underlying experimental tests of general relativity and the recent major achievements in this field.
Effects of kwashiorkor on cortical and trabecular bone.

During the normal growth and development of man and animals the bones grow in length and width and undergo progressive changes in their architecture, a process known as maturation. These normal processes are governed by numerous and complex forces but one of them, the plane of nutrition during the growing period, is of major importance. Undernourished children are small in stature and have bones which are at an earlier stage of development than normal (Berridge and Prior, 1954; Jones and Dean, 1956). These disturbances of skeletal growth and maturation are found in children deprived of calories (marasmus) and protein (kwashiorkor); experimental studies have confirmed these clinical observations. When animals are subjected to severe and prolonged undernutrition from early in their development, growth is retarded and the bones are abnormal in structure and composition; this happens with experimentally-induced deficiencies of calories (Dickerson and McCance, 1961; and ofprotein (Platt and Stewart, 1962; El-Maraghi, Platt, and Stewart, 1965), though the changes produced are not identical in the 2 conditions (Adams, 1969). Children with kwashiorkor have small bones which are less mature than normal (Jones and Dean, 1956) and which commonly show transverse lines of arrested growth visible at x-ray (Jones and Dean, 1956; Platt, Stewart, and Platt, 1963); a deficiency of cortical bone has also been found (Gain et al., 1964). Wayburne (1968) has reported a loss of trabecular bone in South African children with kwashiorkor; but many of them have rickets, and this complicates the precise interpretation of bony changes and of the role of protein deficiency in their production. In contrast to other findings, Reichman and Stein (1968) reported few abnormalities in the bones of Bantu children with protein deficiency.
Sensor Information Learning : A Comparison of Statistical Learning Approaches

The management of Electric Vehicle (EV) charging infrastructure requires both to optimize the location of the various charge stations composing the underlying network and to provide relevant predictions to the EV drivers and to the utilities managing the charge stations. In this article, we focus on the second task which relies on the capacity to access and manage online information. The article is replaced in a more general framework of information learning for sensor network. Under such an assumption the charge station is associated with a sensor providing information through periodic data measurements about a California freeway occupancy rates. The objective is to compare the performances of 4 learning approaches either supervised or based on reinforcement learning techniques, to predict the road occupancy rates over a week using a public PEMS database available online on the machine learning repository [2].
Timing acquisition for low-SNR data storage channels

In this paper, motivated by digital zero phase start (DZPS) method, a new digital zero frequency/phase start (DZFS/PS) technique is proposed for initial joint phase and frequency estimation. DZFS/PS is followed by a Kalman filter with delay to fine-tune frequency acquisition based on the buffered preamble signal.
A Multicenter Prospective Study of Surgery Versus Conventional Radiotherapy for the Treatment of Spinal Metastasis

Background: Conventional radiotherapy is most widely used in the management of symptomatic spinal metastasis; however, it has been suggested that some patients benefit from surgery in addition to radiotherapy. The purpose of this study was to address the potential reasons for recommending surgery or radiotherapy to patients with spinal metastasis. Methods: We prospectively registered 60 patients who underwent radiotherapy alone (Rx group; N=35) or surgery (Op group; N=25) for symptomatic spinal metastasis between July 2015 and August 2017 at our institutions. Results: The patients in the Op group showed a higher rate of recovery for ambulatory function (Op: 77% vs. Rx: 50%) as well as Frankel grade (FG) C for neurological deficit (Op: 73% vs. Rx: 50%), but neither reached statistical significance. Patients in the Op group experienced statistically significant pain relief as assessed by both the numerical rating scale (Op: 56% vs. Rx: 10%) and the proportion of patients not requiring opioid treatment (Op: 76% vs. Rx: 40%) one month after treatment. Conclusions: Although radiotherapy was less effective for immediate pain relief, it was effective for a neurological deficit of up to FG D. Surgery seemed to be more effective for spinal cord compression-induced severe dysfunctions including those leading to difficulty in ambulation and corresponding to a neurological deficit of FG C. In a palliative setting, however, invasive treatment should be avoided to reduce complications. Therefore, radiotherapy is still an important option for this patient group as half of these patients benefit from radiotherapy alone without serious complications.
Analysis of the Genotype X Environment Interaction of Barley Grain Yield ( Hordeum Vulgare L . ) Under Semi Arid Conditions

Barley (Hordeum vulgare L.) trials were conducted with 13 cultivars and breeding lines at two locations over 5 growing seasons under semi arid conditions to assess the magnitude of the genotype x environment (GxE) for grain yield and to determine yield stability. Joint regression and AMMI models were used to interpret GxE pattern, and stability was approached through the scores on the first two principal component axes, the slope, the deviation from regression, the Shukla variance and the reliability index. Results indicated significant GxE interaction, 26.8% of which was explained by the joint regression while the AMMI model accounted for 84.7%. Soufara and Rahma were classified as unstable according to Shukla’s stability variance, had intermediate reliability index; and showed specific adaptation to high yielding environments. Tichedrett, Saida and Acsad176, were classified as stable according to Shukla’s stability variance, were highly reliable and showed specific adaptation to low yielding environments. The GxE pattern revealed by the AMMI analysis indicated that the set of barley genotypes had narrow adaptability as no genotype was found to have high performances in all environments.
Constant single valued neutrosophic graphs with applications

In this paper, we introduced a new concept of single valued neutrosophic graph (SVNG) known as constant single valued neutrosophic graph (CSVNG). Basically, SVNG is a generalization of intuitionistic fuzzy graph (IFG). More specifically, we described and explored somegraph theoretic ideas related to the introduced concepts of CSVNG. An application of CSVNG in a Wi-Fi network system is discussed and a comparison of CSVNG with constant IFG is established showing the worth of the proposed work. Further, several terms like constant function and totally constant function are investigated in the frame-work of CSVNG and their characteristics are studied.
Great Habitat Expectations Genetic Structure of Northern Bluefish Populations Are Eels Climbing Back up the Slippery Slope ?

Bluefish (Pomatomus saltatrix), a highly migratory cosmopolitan predator, is the only extant representative of the family Pomatomidae. It has been the subject of many studies due to its commercial and recreational value, but much less research has been conducted on its global population structure. Here we investigate the population structure of this species and the effects of present and past oceanographic barriers to dispersal in its North Atlantic, Mediterranean, Marmara, and Black sea populations. We employed mitochondrial (cytochrome b and cytochrome oxidase subunit I genes) and nuclear (eight microsatellite loci) DNA as molecular markers. Three main genetic units of Bluefish were identified: American (West Atlantic waters), Spanish (East Atlantic–Western Mediterranean regions), and Turkish (Eastern Mediterranean, Marmara, and Black seas). Our results suggested that Bluefish is panmictic in the northwest Atlantic Ocean but not in the Mediterranean Sea. The common ancestor of the studied populations was traced back to the interglacial cycle Aftonian II, and the separation between clades was estimated to have occurred during glacial periods, likely due to migrations to refuges and the closure of the Mediterranean Sea. In conclusion, paleoclimate seems to have been fundamental for shaping the present genetic lineages of Pomatomus saltatrix.
Interaction of Mitoxantrone-Loaded Cholesterol Modified Pullulan Nanoparticles with Human Serum Albumin and Effect on Drug Release

To clarify nanoparticle-protein interaction and their action characteristics, the interactions between MTO-CHP NPs and human serum albumin (HSA) were studied by isothermal titration calorimetry (ITC), fluorescence spectroscopy, dynamic light scattering (DLS), and circular dichroism spectroscopy (CD). Hydrophobically modified pullulan (CHP) nanoparticles (NPs) loaded with mitoxantrone (MTO) were prepared (MTO-CHP NPs) with size 166.9 nm. The spherical shape was verified by transmission electron microscopy (TEM). The ITC results demonstrated an interaction between MTO-CHP NPs mainly by hydrophobic interaction force, electrostatic force, and hydrogen bonding. The mean binding constant KA was 0.832×104 M−1 and mean HSA coverage 0.939±0.302. MTO-CHP NPs could quench the fluorescence intensity of HSA, which gradually decreased to be balanced in 9 h and indicated the completion of the complexation. The size and zeta potential changes of the combined particle were dynamically detected with DLS at 0, 3, 6, 9, 12, 15, and 18 h. When the reaction was completed at 9 h, the particle size and potential remained stable, accompanied by a size change from 89.91 to about 145 nm and potential change from -15 to -3 mV, respectively. The results of CD measurement showed that the change in ellipticity of HSA at 208 nm was similar to the fluorescence spectra and DLS measurements with MTO-CHP NPs combined with HSA. At the beginning of the reaction, the proportion of α-helix was 52.3% to 43.7%, which decreased by 39.1% at compound stabilization. The release of MTO from MTO-CHP NPs at pH=5.6 was significantly accelerated, whereas that of MTO from HSA-MTO-CHP NPs was significantly reduced, and the drug release was significantly slowed down even under acidic conditions, which indicates the beneficial effect of HSA on the persistence and stability of the HSA-MTO-CHP NP compound.
Progress towards understanding the analyses of mass composition made by the Auger and Telescope Array Collaborations

The composition of cosmic rays at the highest energies is one of the most important problems in UHE cosmic ray physics. Recent results using fluorescence and hybrid fluorescence/surface array detectors (HiRes/Telescope Array/Auger) appear to lead to inconsistent conclusions. Comparison is not straightforward because of different acceptance and resolution of the various experiments. Here we take a 4-component mixture of protons, helium, nitrogen, and iron that varies with energy in such a way that it reproduces the Auger Xmax data (Auger Xmax data as obtained with hybrid measurements). We use this mix to simulate air showers in the TA aperture. These events are then passed through the TA detector simulation and reconstructed using TA hybrid methods and cuts. In this paper we describe the method and present the results of the simulations. The results show that the 〈Xmax〉 for the Auger mix composition would be observed by TA hybrid (after full event reconstruction) with a bias of 5.2±0.4 g/cm2, and the pure proton coposition will be observe with a bias of 11.5±0.9 g/cm2. The difference in the expected 〈Xmax〉 (reconstructed by TA-hybrid) between the pure proton and the Auger mix compositions is 20 g/cm2 at 1019 eV, and the present study shows that, given the number of events generated, the Telescope Array would be able to distinguish between these two compositions with a confidence level better than 4 sigmas.
Does Gender Matter ? A Capability Approach to Work-to-Home and Home-to-Work Conflict in a European Perspective

This paper examines gender differences in work-to-home conflict and home-towork conflict in ten European countries and considers to what extent such differences can be linked to the institutional/societal context. The study combines the conventional demandresource approach with an institutional framework on policies and norms inspired by Amartya Sen‟s capability approach. In applying this framework, I assume that individuals‟ perceptions of work–home conflict and the capability to achieve work–life balance are institutionally embedded. The study uses data from the European Social Survey. The analyses reveal that the two dimensions of conflict are gender asymmetrical and linked to patterns that result from men‟s and women‟s traditional home and work spheres. The cross-country comparative analysis shows greater gender differences in countries with weaker policy support for workfamily reconciliation and more traditional gender norms. These gendered patterns would not have been apparent if only work-to-home conflict had been analysed.
Effect of canagliflozin, a sodium glucose co‐transporter 2 inhibitor, on C‐peptide kinetics

Canagliflozin, a sodium glucose co‐transporter 2 inhibitor, improves indices of β‐cell function estimated based on circulating C‐peptide and glucose concentrations (e.g., Homeostasis Model Assessment [HOMA2‐%B], meal tolerance test‐based indices). However, use of these β‐cell function indices assumes C‐peptide kinetics are not altered by canagliflozin. This 2‐period crossover study assessed the effect of a single canagliflozin 300‐mg dose on C‐peptide kinetics in 10 healthy participants. Two hours after receiving canagliflozin or placebo, participants received intravenous somatostatin infusion to suppress endogenous C‐peptide secretion and 1 hour later received a bolus injection of synthetic human C‐peptide 150 µg. Serum C‐peptide was measured over 3 hours and urinary glucose and C‐peptide excretion were measured. C‐peptide kinetic parameters, including total clearance (CLtotal) and renal clearance (CLrenal), were calculated. Serum C‐peptide profiles were similar following canagliflozin or placebo treatment. C‐peptide CLtotal was slightly lower with canagliflozin versus placebo (mean (SD) of 190 (37) vs. 197 (30) mL/min; canagliflozin/placebo ratio [90% CI] = 96.1% [93.0%; 99.3%]). Other kinetic parameters, including CLrenal, were generally similar between treatments. Results indicate canagliflozin 300 mg does not meaningfully alter C‐peptide clearance or other kinetic parameters; therefore, C‐peptide–based measurements of insulin secretion are appropriate for assessing β‐cell function in canagliflozin‐treated participants.