bluuebunny/crossref_metadata_2025_split huggingface dataset:
Damage and failure evaluation of diamond wire for multi-wire sawing of hard stone blocks through modelling and numerical simulation
Authors: Gomes Daniel , Araujo Andreia , Marques Rui , Patricio José , Lopez Vítor , Santos Raquel M. 
Published: November 2021

Diamond wires are high-speed, efficient and cost-effective stone cutting tools used both in quarries, to obtain large stone blocks, and in block-processing plants, to shape ornamental stones. Diamond wires are generally composed by a wire rope with evenly spaced diamond beads fixed by a polymer or rubber coating. A numerical model of the diamond wire was developed in Abaqus™ software aiming to study the damage and failure of the steel wire during the cutting process. The model is intended to support the development of this component with enhanced durability and damage resistance.
Previously in this work, a detailed three-dimensional (3D) and numerical model of a 7x7 wire rope was created, followed by experimental validation. The diamond wire model was then based on the wire rope model, with the addition of the polymer coating and the diamond beads. The developed diamond wire model presents an error smaller than 6% relative to the experimental tensile test, corresponding to a valid representation of the component. This model has practical significance for the mechanical evaluation of the diamond wire, supporting further developments, with special focus on its design and manufacturing, to achieve longer service life.
Vorschlag einer Basisdokumentation für die Kinder-, Jugend-
und Familienpsychosomatik auf Basis einer Synopsis von Basisdokumentationen
für Kinder, Jugendliche und Erwachsene
Authors: Ertl Sebastian , Vogt Michael , Loew Thomas , Hinterberger Thilo 
Published: November 2021

Zusammenfassung
Hintergrund  In Psychiatrie, Psychosomatik und Psychotherapie
werden Basisdokumentationen (BaDo) als Instrument zur Qualitätssicherung
eingesetzt. Für den Bereich der Kinder-, Jugend- und
Familienpsychosomatik gibt es bisher keine einheitliche einrichtungs- und
sektorenübergreifende Basisdokumentation. Das Ziel der Studie war es,
auf Basis eines synoptischen Vergleichs etablierter BaDo’s einen
Merkmalskatalog für den Kontext kinder- und jugendpsychosomatischer
Behandlungen vorzuschlagen.
Methodik Im Rahmen einer qualitativen Dokumentenanalyse wurden BaDo-Items
aus dem Kinder-/Jugend- und Erwachsenenbereich entlang eines
Kategoriensystems inhaltsanalytisch ausgewertet. Die herausgearbeiteten Aspekte
wurden anschließend nach alters- und fachübergreifenden Inhalten
klassifiziert und nach ihrer Kinder-/Jugendspezifität
eingeschätzt. Die Ergebnisse wurden deskriptiv statistisch
ausgewertet.
Ergebnisse Aspekte der Kategorien Familienanamnese und Biografische
Anamnese spezifizierten eine BaDo für Kinder und Jugendliche. Eine
Erfassung von Vorbehandlungen wurde altersübergreifend in BaDo’s
aus dem psychosomatischen Bereich akzentuiert. Die Erhebung soziodemografischer
Daten musste konzeptuell an die altersabhängigen Anforderungen des
Kinder- und Jugendbereichs angepasst werden.
Schlussfolgerung Auf Grundlage eines empirischen Zugangs konnte eine
modular aufgebaute BaDo für die Kinder-, Jugend- und
Familienpsychosomatik formuliert werden, die einrichtungs-, sektoren- und
berufsgruppenübergreifende Auswertungen ermöglicht. Das
Instrument sollte in einem nächsten Schritt in einer Anwendungsstudie
evaluiert und im Anschluss auf breiter Ebene konsentiert werden.
Genotypic and seasonal variation in root depth development during establishment of C
Authors: Huot Chanthy , Philp Joshua N. M. , Zhou Yi , Denton Matthew D. 
Published: November 2021

Context Perennial forage grass species are often grown with limited water following establishment and rely on accessing water deep in the soil profile to survive. Aim This study aimed to characterise bermudagrass (Cynodon spp.) genotypes with rapid vertical root growth associated with post-establishment survival. Methods Twelve bermudagrasses representing genotypes from diverse climate zones in Australia were established in rhizotrons to analyse the stability in genotypic variation in root and shoot growth in winter and summer experiments. Genotypic rank of root length, leaf area, and root dry weight were consistent in both seasons. Key results Bermudagrass genotypes exhibited different traits correlated with root vertical growth rate and inconsistency of genotypic rank of shoot growth. During winter establishment, the rate of root depth development (RRDD) (r = −0.64) was correlated with the proportion of root length that became inactive, that was likely due to seasonal root death in winter conditions; during summer establishment, RRDD was correlated with tiller appearance rate (r = 0.45) and root distribution to 10 cm depth (r = −0.62). Shoot dry weight was correlated with photosynthesis (r = 0.85) and transpiration (r = 0.79) in summer, but not in winter. RRDD (r = 0.75, winter and r = 0.77, summer) was correlated with drought resistance index, previously analysed under field conditions. Conclusions and implications Genotypes from the Mediterranean climates in Australia showed rapid growth of roots and shoots in both seasons and have the greatest potential for broader application for forage production in variable environments.
The K63 deubiquitinase CYLD modulates autism-like behaviors and hippocampal plasticity by regulating autophagy and mTOR signaling
Authors: Colombo Elisa , Horta Guilherme , Roesler Mona K. , Ihbe Natascha , Chhabra Stuti , Radyushkin Konstantin , Di Liberto Giovanni , Kreutzfeldt Mario , Schumann Sven , von Engelhardt Jakob , Merkler Doron , Behl Christian , Mittmann Thomas , Clement Albrecht M. , Waisman Ari , Schmeisser Michael J. 
Published: November 2021

SignificanceThe deubiquitinating enzyme CYLD specifically removes Lysine 63 (K63)–linked polyubiquitin chains from several substrates. Although it is highly expressed in the brain, its role in the central nervous system is far from being understood. A thorough behavioral, physiological, and morphological analysis revealed that CYLD-deficient mice exhibit major autism-like behaviors accompanied by deficits in the structure and function of hippocampal synapses. In addition, we show that CYLD is a modulator of mechanistic target of rapamycin (mTOR) signaling, synaptic α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA) receptor subunits, and autophagy in the hippocampus. We thereby introduce CYLD and K63-linked polyubiquitination processes at the synapse as molecular targets for both a better understanding of the pathomechanisms underlying autism spectrum disorder and the development of novel autism therapies.
Through space, relations, and thoughts
Authors: Guerrero-Beltran David Felipe , Wojtylak Katarzyna I. 
Published: November 2021

AbstractThis paper aims to describe the morphosyntax and semantics of postpositions in Karijona, a Cariban language from Northwest Amazonia. The data, collected in the Karijona settlement of Puerto Nare (Colombia), were analyzed according to Basic Linguistic Theory and Cognitive Semantics. Like other Cariban languages, Karijona has a typologically unusual system of postpositions, which can cross-reference person and number, and form complex stems consisting of locative roots and locative suffixes. In terms of their semantics, the system distinguishes among spatial, relational, and ‘mental state’ postpositions. The first type encodes noun classification, orientation, and distance. While the second type has prototypical relational meanings, the third refers to cognitive and emotional states. This paper presents the first systematic description of the Karijona postpositions.
Graph-based prior and forward models for inverse problems on manifolds with boundaries
Authors: Harlim John , Jiang Shixiao W , Kim Hwanwoo , Sanz-Alonso Daniel 
Published: November 2021

Abstract
This paper develops manifold learning techniques for the numerical solution of PDE-constrained Bayesian inverse problems on manifolds with boundaries. We introduce graphical Matérn-type Gaussian field priors that enable flexible modeling near the boundaries, representing boundary values by superposition of harmonic functions with appropriate Dirichlet boundary conditions. We also investigate the graph-based approximation of forward models from PDE parameters to observed quantities. In the construction of graph-based prior and forward models, we leverage the ghost point diffusion map algorithm to approximate second-order elliptic operators with classical boundary conditions. Numerical results validate our graph-based approach and demonstrate the need to design prior covariance models that account for boundary conditions.
Machine-learned dark matter subhalo candidates in the 4FGL-DR2: search for the perturber of the GD-1 stream
Authors: Mirabal Nestor , Bonaca Ana 
Published: November 2021

Abstract
The detection of dark matter subhalos without a stellar component in the Galactic halo remains
a challenge.
We use supervised machine learning to identify high-latitude
gamma-ray sources with dark matter-like spectra
among unassociated gamma-ray sources in the 4FGL-DR2. Out
of 843 4FGL-DR2 unassociated sources at |b| ≥ 10°, we select 73
dark matter subhalo candidates. Of the 69 covered by the Neil Gehrels Swift
Observatory (Swift), 17 show at least one X-ray source within the 95% LAT error ellipse and 52 where we identify
no new sources.
This latest inventory of dark subhalos candidates
allows us to investigate
the possible dark matter substructure responsible for the perturbation
in the GD-1 stellar stream.
In particular, we examine the possibility that the alleged GD-1 dark subhalo
may appear as a 4FGL-DR2 gamma-ray source from dark matter
annihilation into Standard Model particles.
Constraints on heavy decaying dark matter with current gamma-ray measurements
Authors: Chianese Marco , Fiorillo Damiano F.G. , Hajjar Rasmi , Miele Gennaro , Saviano Ninetta 
Published: November 2021

Abstract
Among the several strategies for indirect searches of dark matter, a very promising one is to look for the gamma-rays from decaying dark matter. Here we use the most up-to-date upper bounds on the gamma-ray flux from 105 to 1011 GeV, obtained from CASA-MIA, KASCADE, KASCADE-Grande, Pierre Auger Observatory, Telescope Array and EAS-MSU. We obtain global limits on dark matter lifetime in the range of masses m
DM = [107-1015] GeV. We provide the bounds for a set of decay channels chosen as representatives. The constraints derived here are new and cover a region of the parameter space not yet explored. We compare our results with the projected constraints from future neutrino telescopes, in order to quantify the improvement that will be obtained by the complementary high-energy neutrino searches.
Development and evaluation of a low cost 8-electrode Electrical Impedance Tomography system
Authors: Castillo C E , Álvarez A E 
Published: November 2021

Abstract
Electrical impedance tomography (EIT) is a medical imaging modality that considers the electrical properties of tissues to obtain a conductivity distribution of a region of interest using the level of resistance it presents to the passage of a small electrical current. This work describes the design of an 8-electrode EIT prototype that offers the possibility of changing the excitation parameters and freedom of movement of the demodulation synchrony by means of conventional electronics. The image reconstruction obtained can locate disturbances in the study medium using the adjacent electrode method. A comparison of the voltage measurements acquired on a homogeneous test medium in two different collection cycles was implemented to determine the precision of the system. The data obtained indicate a maximum error percentage of 2.6% between measurements, which represents an acceptable first approach towards the design of a device with greater stability and precision.
Glucose detection of ringer-lactate solution using electrical bioimpedance: preliminary results
Authors: Pedro B G , Bertemes-Filho P 
Published: November 2021

Abstract
Continuous glucose monitoring is essential to reduce the damages caused by diabetes and for choosing the right treatment approach. In most cases, non-invasive glucose measurement devices generate their results through statistical tools (e.g., artificial neural networks) with an error that increases the further away from the training sample the measurement is. An analytical model would contain only propagated errors. Impedance measurements of lactate ringer’s solutions with egg albumin containing different concentrations of sugar were performed to validate the model proposed for measuring glycemia in human blood using the electrical bioimpedance meter AD5933. The curve fitting showed errors lower than 1.5%. Chemical phenomena, such as reduced sugar, fructosamine and solvation, might explain the behaviors observed in the experiments. The results suggest that the relaxation coefficient has significant changes with the increase of sugar in the solutions. The findings encourage future research with bovine blood for a more realistic analytical model.
Fish quality investigations using electrical impedance spectroscopy: preliminary results
Authors: Teixeira L G , Bertemes-Filho P , Keith Cox M. 
Published: November 2021

Abstract
The consumption of seafood has increased over the last 10 years. This article analyses impedance changes of tilapia (Oreochromis niloticus) sample measured over 36 hours by using electrical impedance spectroscopy (EIS). It was also investigated the correlations between variables in order to predictive models to degradation studies. Measurements were collected every 12 hours in order to verify any change due to deterioration. The results show that measurements in both longitudinal and transverse axes are equivalent and that the sample undergoes gradual variations in the impedance. The first set of data collected in the frequency range from 0.1 to 1,000 kHz showed that resistance varied from 310.9 (@ 0.1 kHz) to 86.8 Ω (@1 MHz) and capacitive reactance varied from -8.6 to 11.5 Ω, respectively. The forth set of data showed a decrease of 79.3% (@0.1 kHz) in the resistance part of the impedance, whereas 98.8% in capacitive reactance at 0.1 kHz. These results might suggest that there was a nutritional loss of the sample over time. Further experiments must be done over a long period of time in order to fully understand the process. EIS might be pointed out as a potential technique for fish shelf live quality control.
Dimensionality reduction methods for Impedance Spectroscopy data of biological materials
Authors: Cavalieri R , Bertemes-Filho P 
Published: November 2021

Abstract
Electrical impedance spectroscopy combined with Neural Networks can be a powerful combination to identify biological materials. This paper utilizes a data set containing two biological samples taken from different species and applies the most popular methods of dimensionality reduction. This is done in order to find out which method is able to minimize computational demand and maximize accuracy in the classification test. This paper proposes that the classic PCA method is the fastest and the most accurate under the configurations used.
Fat-free mass index in patients with chronic obstructive pulmonary disease
Authors: Díaz-Sanabria R A , González-Correa C H , Marulanda-Mejía F , Aguilar-Díaz C D , Sepúlveda-Gallego L E , Duque-González L M , Pineda Zuluaga M C 
Published: November 2021

Abstract
Chronic Obstructive Pulmonary Disease (COPD) is a public health problem because it is a major cause of death in the world. Approximately 25% of patients with moderate disease and 35% with severe disease show a reduced fat-free mass (FFM). Thus, the objective of this study is to define the correlation between fat-free mass index (FFMI), muscle function, respiratory symptoms, number of exacerbations during the last year, and degree of airflow obstruction in patients with COPD. It is a prospective and cross-sectional study. The FFMI was below 32.7% (n=18) and the strength diminished by 56.4% (n=31). In the sample, we found a direct and significant correlation between the FFMI and the FEV1 (predicted %), (p= 0.045). When analysed by sex, men had a direct correlation between FFMI and the FEV1 (predicted %), (p=0.019), an inverse correlation between FFMI and the spirometric classification of the Global Initiative Obstructive Lung Disease (GOLD) (p=0.008), and between the muscular function and the symptoms (p=0.03). In women, no significant correlation was found. In conclusion, the conditions in mass and muscular function were correlated with clinical variables and pulmonary function in men. We did not find a correlation between corporal composition and the number of exacerbations.
Skeletal Muscle Mass Index cut-offs by bioelectrical impedance analysis to determine Sarcopenia Based on healthy young or old Populations: A Comparative Study
Authors: Villada-Gómez J S , González-Correa C H , Pineda-Zuluaga M C 
Published: November 2021

Abstract
Skeletal muscle mass index (SMMI) is a component in sarcopenia. There is no universal cut-off point and therefore each population should have its own reference values. This study aimed comparing SMMI cut-off points derived from a young population with those obtained directly from an elderly population. 237 older adult community-dwelling older than 60 years were evaluated. The skeletal muscle mass (SMM) was evaluated by bioelectrical impedance analysis (BIA). SMMI was calculated as SMM/height squared. The young population consisted of 255 participants from the same locality. The cut-off points from older person for moderate low muscle mass were 6.70 (women) and 9.20 kg/m2 (men). In this case, they were higher than those estimated from the young population (6.42 and 8.40 kg/m2for women and men). A similar trend was obtained when the cut-off points were set below the 20th percentile. When two standard deviations were used to determine the cut-off points, the values for older women were lower (5.90 kg/m2) than those obtained from young adults. There were no differences in the case of men. SMMI reference values from elderly persons is an option to diagnose sarcopenia, however prospective studies are necessary to stablish the capacity to predict functional outcomes.
Prediction of Flexion and Extension Movements of 4 Fingers of the Hand Using a New Labeled Method
Authors: García Torres J A , Ibarra Fuentes A , Morales Sánchez E , Hernández Zavala A 
Published: November 2021

Abstract
This work presents a neural network classifier for identifying the flexion and extension movements for four fingers from the hand, out of the surface electromyography signals in the forearm muscles. A new labeled data method was proposed based on time segmentation to relate the sEMG signal with the corresponding finger movement. This is a different way of labeling the data for training the neural network, a llowing to reduce the amount of training gesture hand. The experiment consists of 10 sessions in which the fingers are flexed randomly, one at a time for 2 minutes with a 16ms sample time. The absolute mean value (MAV) is used as a feature extractor in the time domain to a verage 5 samples a nd the normalized data is used for the neural network. Results show that this system with the labeled data method, provides a 98.83% precision value for the index finger, 93.46% for the ring finger, 80.34% for the middle finger, and 68.46% for the little finger. The results are simila r to those found in the literature where they classify different gestures using the conventional labeling method.
Time-Domain Electrical Impedance Tomography by Numerical Analysis of the Step Response
Authors: David Marcelo , Amran Omer , Simhi Ron , Simini Franco 
Published: November 2021

AbstractThis work describes the theoretical basis of an electrical impedance tomography imaging system based on numerical analysis of the step response. Its novelty relies on the use of time domain for rendering the tomographic images. Following the injection of a Heaviside-step current through two electrodes, the voltage-response is measured on all couple of electrodes according to the neighbouring strategy; this process is repeated on every pair of consecutive electrodes. Based on the measurements, a tomographic image is reconstructed using the Gauss-Newton-Raphson algorithm. We tested the technique by simulating two representative circuits: one symmetrical pseudo-isotropic and one pseudo-anisotropic in AC, while both pseudo-isotropic at DC. The time-domain reconstructed images show the second network’s pseudo-anisotropy while allowing the system to show its tendency to pseudo-isotropy when the time elapses towards DC-steady-state. This novel technique for reconstructing electrical impedance tomographic images may shed new light on sensing slight differences in tissues while being fast and low-cost.
Synthesis, Biological Activity of Trimethoprim derivative and the Complexes
Authors: Albahadly Hassan H , Al-Haidery Nahed H , Al-Salami Bushra K 
Published: November 2021

Abstract
This study demonstrates the synthesis of new ligands derived from trimethoprim with their Iron(III) and copper (ll) complexes. At the beginning, preparing new ligands, the first namly N, N’-(5-(3,4,5-trimethoxybenzyl)pyrimidine-2,4-diyl)bis(3,4,5-trihydroxy benza mide)and the Ligand second namly N, N’-(((5-(3,4,5-trimethoxybenzyl)pyrimidine-2,4-diyl) bis(azanediyl))bis(carbonthioyl) bis(3,4,5-trihydroxybenzamide) which prepared by nucleophilic addition of trimethoprim to Gallic chloride and prepared also by nucleophilic addition of trimethoprim to the Solution of Ammonium thiocyanate and Gallic chloride. Ferric Ion (III) and Copperic Ion (ll) complexes have been prepared with molar ratio [1:2]. The synthesis ligands have been characterized by Uv-Visible, FT-IR, 1HNMR, 13CNMR and EI-mass, while the complexes have been characterized by elemental analysis, Uv-Visible, FT-IR, Conductivity measurements and thermogravemtric (TgA) analysis. The ligands acts as multiple sites coordinating with ferric ion and copper ion, Via lone pair of nitrogen atom of NHC= and phenolic oxygen. In Vitro, the ligands and complexes have been tested for their growth Inhibitory activity against Gram negative bacteria Salmonella Spp and Gram Positive Staphylococcus Spp. The results of the test indicate that the synthesized compounds possessed a high inhibition effectiveness comparative with trimethoprim.
Allocation of Relief Centre for Flood Victims Using Location Set Covering Problem (LSCP)
Authors: Hashim Nur Idayu Mah , Sarifah Radiah Shariff S , Deni Sayang Mohd 
Published: November 2021

Abstract
The frequency of natural disaster has been increasing over the years, resulting in loss of life, damage to properties and destruction of the environment. Compared to other natural disaster, floods are the most significant natural hazard in Malaysia that affect thousands of people. It becomes of great concern especially, during these recent floods, several relief centers were experiencing problems when most of the flood’s victims needed to move to the other relief centers after the existing shelters were also affected by flood water. Furthermore, the relief centers were congested due to the large number of flood evacuees that were over the capacity provided. This study attempts to adapt an advance mathematical location-allocation models in making decision to locate and allocate flood victims during flood event. The Location Set Covering Problem (LSCP), with capacitated constraint is considered and solved using Excel Solver. The determination of safe locations for relief centres with respect to prone area is proposed by adding three new constraints which are the distance from river, elevation from sea level and rainfall amount. A flood case of Kuala Kuantan, Pahang in 2013 was used as the main study area for the analysis as well as the whole Kuantan district. Two scenarios of split and non-split allowed were tested for allocation process and result showed that the percentage allocation and number of relief centers involved increases when the distance increases accordingly. Hence, the model can be considered for better evacuation plan.