bluuebunny/crossref_metadata_2025_split huggingface dataset:
Percepção dos pacientes em lista de espera para artroplastia total do quadril sobre a retomada das cirurgias eletivas durante a pandemia COVID-19
Authors: Pedrozo Vitor Bernardes , Schuroff Guilherme Zeni , Zaniolo Francisco José , Deeke Mark , Pedroni Marco Antônio , Schuroff Ademir Antônio 
Published: June 2023

Resumo
Objetivo Analisar o perfil e a percepção dos pacientes em lista de espera para artroplastia total do quadril (ATQ) sobre a realização das cirurgias eletivas durante a pandemia pela COVID-19.
Métodos De julho a novembro de 2021, foram entrevistados pacientes em lista de espera para ATQ durante consultas ambulatoriais. Para comparar os grupos com relação às variáveis categóricas foi aplicado o Teste Qui-quadrado ou Teste exato de Fisher e para as variáveis quantitativas foi aplicado o teste de Mann-Whitney. Os resultados foram calculados utilizando o programa Statistica versão 7.
Resultados 39 pacientes responderam ao questionário. A média de idade foi de 58,95 anos, sendo 53,85% do sexo masculino. Aproximadamente, 60% manifestaram preocupação em contrair ou transmitir COVID-19 aos seus familiares após internação hospitalar para ATQ. 58,9% dos pacientes sentiram-se prejudicados pelo atraso no agendamento das cirurgias eletivas durante a pandemia. 23% perderam ou tiveram algum familiar que perdeu o emprego durante a pandemia, havendo diferença estatística para o grupo com menos de 60 anos (p = 0,04).
Conclusão A maioria dos pacientes sentiram preocupação em infectar-se e expor familiares à COVID-19 após a cirurgia e notaram prejuízo pelas suspensões e atraso no agendamento de cirurgias eletivas. O impacto econômico da pandemia revelou-se pela taxa de 23% de entrevistados que perderam ou tiveram algum familiar que perdeu seu emprego durante a pandemia, sendo maior nos pacientes menores de 60 anos (p = 0,04).
Impacts of wild pigs on acorn availability as a food source for native wildlife
Authors: Fay Arielle S. , Zenas Stephen J. , Smith Mark D. , Ditchkoff Stephen S. 
Published: June 2023

Context Wild pigs (Sus scrofa) are a non-native invasive species that causes millions of dollars in damage each year to agriculture in the United States of America, destroys native plant communities, and competes with native wildlife for seasonally available pulse resources such as acorns. Despite many anecdotal observations and diet studies suggesting wild pigs reduce acorn availability for other wildlife species, no studies have comparatively examined acorn consumption among species in a natural environment (i.e. competition). Aims Our objective was to estimate the consumption of acorns by wild pigs relative to that of other native wildlife species. Methods We established 40 monitoring stations beneath acorn-producing trees in a 3406-ha study area in eastern Alabama with an approximate density of 9 pigs/km2. At each monitoring station, we placed five acorns on a 1-m × 1-m sand pad and positioned a game camera to record acorn fate during 2-week intervals once a month from September to February 2018–2019 and 2019–2020. Cameras were set to capture images once every minute continuously during the survey period. Additionally, we constructed acorn traps from 18.9-L plastic buckets to estimate the timing and relative amounts of acorns that were potentially available for consumption at each monitoring station. Key results From approximately 7.3 million camera images, we observed 15 wildlife species consuming 707 acorns over the 2 years. Aside from animal consumption, acorn fate was categorised as lost due to flooding (n = 153), remaining on the sand pad at time of camera failure (n = 720), or not consumed during the sampling period (n = 536). Key conclusions Top acorn consumers were squirrel (Sciurus spp.), white-tailed deer (Odocoileus virginianus), raccoon (Procyon lotor), and wild pig. In the 2018–2019 sampling period, wild pigs consumption accounted for 23.4% (n = 87) of the total consumed acorns. After wild pig removal efforts were initiated in the summer and autumn of 2019, wild pigs consumed only 7.2% (n = 24) of consumed acorns. Implications Wild pigs consume a significant number of acorns and likely reduce the availability of this pulse resource for other native wildlife species and may potentially influence oak regeneration.
Crystal plasticity based homogenized model for lamellar colonies of near-α and
α+β
titanium alloys
Authors: Kazim Syed Mustafa , Prasad Kartik , Chakraborty Pritam 
Published: June 2023

Abstract
The microstructure of near α and

α
+
β

Ti-alloys consists of globular α grains, and transformed β colonies, which have a lamellar structure with alternating α hexagonal close packed and β body centered cubic laths. Due to the disparate length scales between the laths of the colonies and the globular α grains, a homogenized representation of the lath microstructure is necessary for computationally feasible and efficient crystal plasticity (CP) based full-field simulations of polycrystalline aggregates of these alloys. Thus, equivalent models of the lath microstructure based on iso-strain and virtual crystal (consisting of both α and β slip systems) assumptions were developed. However, these models fail to capture the response of the lath aggregate (colony), the individual phases (α and β laths), and slip systems, accurately. The deficiencies in the earlier models have been overcome in the equivalent model developed in this work in which the individual laths are allowed independent iso-stress and iso-strain conditions, while strain compatibility and stress equilibrium of the lath aggregate is ensured by enforcing periodic motion of the laths and traction balance at the interface. Additionally, an anisotropic size dependent CP constitutive model, due to the semi-coherent nature of the lath interfaces, is also developed for the α and β laths in the colony. The improvements of the present model are elucidated by comparing its response with the existing equivalent models and periodic CP finite element method simulations of a

α
+
β

lath representative volume element for two different sets of Euler angles and four different deformation histories. The comparisons clearly show that the present model is significantly more accurate than the existing models in predicting the stress–strain response of the lath aggregate and the individual phases, as well as the slip activities on the various systems. The formulation of the developed model is generic and can also be applied to other materials with lamellar microstructure.
A deep-learning assisted bioluminescence tomography method to enable radiation targeting in rat glioblastoma
Authors: Rezaeifar Behzad , Wolfs Cecile J A , Lieuwes Natasja G , Biemans Rianne , Reniers Brigitte , Dubois Ludwig J , Verhaegen Frank 
Published: June 2023

Abstract

Objective. A novel solution is required for accurate 3D bioluminescence tomography (BLT) based glioblastoma (GBM) targeting. The provided solution should be computationally efficient to support real-time treatment planning, thus reducing the x-ray imaging dose imposed by high-resolution micro cone-beam CT. Approach. A novel deep-learning approach is developed to enable BLT-based tumor targeting and treatment planning for orthotopic rat GBM models. The proposed framework is trained and validated on a set of realistic Monte Carlo simulations. Finally, the trained deep learning model is tested on a limited set of BLI measurements of real rat GBM models. Significance. Bioluminescence imaging (BLI) is a 2D non-invasive optical imaging modality geared toward preclinical cancer research. It can be used to monitor tumor growth in small animal tumor models effectively and without radiation burden. However, the current state-of-the-art does not allow accurate radiation treatment planning using BLI, hence limiting BLI’s value in preclinical radiobiology research. Results. The proposed solution can achieve sub-millimeter targeting accuracy on the simulated dataset, with a median dice similarity coefficient (DSC) of 61%. The provided BLT-based planning volume achieves a median encapsulation of more than 97% of the tumor while keeping the median geometrical brain coverage below 4.2%. For the real BLI measurements, the proposed solution provided median geometrical tumor coverage of 95% and a median DSC of 42%. Dose planning using a dedicated small animal treatment planning system indicated good BLT-based treatment planning accuracy compared to ground-truth CT-based planning, where dose-volume metrics for the tumor fall within the limit of agreement for more than 95% of cases. Conclusion. The combination of flexibility, accuracy, and speed of the deep learning solutions make them a viable option for the BLT reconstruction problem and can provide BLT-based tumor targeting for the rat GBM models.
Optimisation of stacked, bulk high temperature superconductors for trapped-field magnet applications
Authors: Shi Yunhua , Ainslie Mark D , Dennis Anthony R , Durrell John H , Cardwell David A 
Published: June 2023

Abstract
It is necessary to fabricate (RE)BCO bulk high temperature superconductors in the form of individual single grains in order to maximise the length scale over which current flows, and hence the trapped magnetic field. However, inherent difficulties in the grain growth process place limitations on the diameter and height of the single grain that may be achieved by existing melt processes. A practical approach to increase the height of the sample and the trapped field at its surface is by assembling individual single grains in a stack formation with their ab planes aligned parallel, primarily to avoid the expensive process of fabricating large, individual monoliths. The trapped fields observed at the top and bottom surfaces of a single grain sample are frequently different since both the superconducting and physical properties of single grain (RE)BCO samples are generally non-uniform. This leads to challenges in determining how to spatially arrange stacks of single grain samples to generate the largest and most uniform trapped field overall. In this study, we report the optimisation of two-stack configurations involving a total of 8 individual GdBCO/Ag single grains. The samples were arranged in four pairs and configured with different surfaces in contact in the assembly of the stack. The primary superconducting properties for trapped field and total flux distributions were measured at 77 K and compared for each stack arrangement. The initial results indicate that surfaces with inferior flux trapping properties (measured in terms of the overall trapped field value) of a two-sample stack should be positioned at the middle of the assembly to achieve the best overall trapped field and higher total flux at the external, and therefore, usable surface of the stack sample. A numerical modelling method that incorporates different Jc-B characteristics for the top and bottom layers of a single grain to take account of the variability in physical properties and spatial non-uniformity confirmed the optimised experimental arrangement of the stacked bulk samples. Furthermore, the optimisation of single grains of ring geometry to achieve a longer and wider uniform magnetic field zone inside the bore was also performed.
Strong Purcell effect of magnetic quasi-BICs in the dielectric metasurface
Authors: Wu Lijuan , Huang Jing , Chen Deliang , Fan Menghui , Hu Mingzhe , Zhou Chaobiao 
Published: June 2023

Abstract
The ultra-strong light field trapped in micro- and nanostructures, and derived from optical bound states in the continuums (BICs), provides a new platform for the facilitation of light–matter interactions. In this work, the spontaneous emission enhancement of quantum emitters using magnetic quasi-BICs metasurfaces is numerically studied. It is found that ultrahigh Purcell factor (PF) (

>

10
5

) can be easily achieved when the asymmetry parameter decreases. In theory, infinite PF may emerge due to the infinite Q-factor at the BICs. In addition, the PF exhibits a strong dependence on the polarization direction of dipole emitter and the local field distribution in the metasurface. Finally, the photoluminescence enhancement for different perturbation parameters is calculated to confirm strong Purcell effect in the quasi-BICs metasurface. These results show that the magnetic dipole BICs mode holds an enormous potential in manipulating spontaneous emission.
Divertor detachment and reattachment with mixed impurity seeding on ASDEX Upgrade
Authors: Henderson S.S. , Bernert M. , Brida D. , Cavedon M. , David P. , Dux R. , Février O. , Järvinen A. , Kallenbach A. , Komm M. , McDermott R. , O’Mullane M. 
Published: June 2023

Abstract
Using newly developed spectroscopic models to measure the divertor concentration of Ne and Ar, it is shown that the experimental detachment threshold on ASDEX Upgrade with Ar-only and mixtures of Ar+N or Ne+N scales as expected in comparison with an analytical equation derived by Kallenbach et al (2016 Plasma Phys. Control. Fusion
58 045013). However, it is found that Ar radiates more efficiently and Ne less efficiently in the scrape-off layer than the model predicts. By separately increasing the neutral beam injection power and cutting the impurity gas flow, it is shown that the partially detached and strongly detached X-point radiator scenarios reattach in ≈100 ms and ≈250 ms, respectively. The former timescale is set by the core energy confinement time, whereas the latter has an additional delay caused by the time required for the ionisation front to move from the X-point to the target. A simple equation with scalable geometric terms to predict the ionisation front movement time in future machines is proposed.
Neutrino characterisation using convolutional neural networks in CHIPS water Cherenkov detectors
Authors: Tingey Josh , Bash Simeon , Cesar John , Dodwell Thomas , Germani Stefano , Kooijman Paul , Mánek Petr , Ozkaynak Mustafa , Perch Andy , Thomas Jennifer , Whitehead Leigh 
Published: June 2023

Abstract
This work presents a novel approach to water Cherenkov neutrino detector event reconstruction and classification. Three forms of a Convolutional Neural Network have been trained to reject cosmic muon events, classify beam events, and estimate neutrino energies, using only a slightly modified version of the raw detector event as input. When evaluated on a realistic selection of simulated CHIPS-5kton prototype detector events, this new approach significantly increases performance over the standard likelihood-based reconstruction and simple neural network classification.
An analytical method and practical verification for evaluating the undulator performance
Authors: Chang Cheng-Hsing , Chung Ting-Yi , Hwang Ching-Shiang 
Published: June 2023

Abstract
The mechanical performance of an undulator has a significant
effect on the on-axis magnetic field and thus a directly affect the
performance of photon flux and stable operation in a storage
ring. During the phase of mechanical design and construction, it
becomes important to develop a method to evaluate the effects of
magnetic fields caused by mechanical properties. This paper reveals
a method to predict the distribution of a magnetic field utilizing
the practice that mechanical performance combined with an ideal
magnet assembly enables identification whether the magnet array
structure is satisfactory. Moreover, the systematic errors expected
from the mechanical inspection can be confirmed in the magnetic
field measurement data. This scheme could be used to predict the
systematic effects and then to apply effective remedies before the
entire machine is completed.
Internal and external harmonics in bi-cyclide coordinates
Authors: Alexander B , Cohl H S , Volkmer H 
Published: June 2023

Abstract
The Laplace equation in three-dimensional Euclidean space is

-separable in bi-cyclide coordinates leading to harmonic functions expressed in terms of Lamé–Wangerin functions called internal and external bi-cyclide harmonics. An expansion for a fundamental solution of Laplace’s equation in products of internal and external bi-cyclide harmonics is derived. In limiting cases this expansion reduces to known expansions in bi-spherical and prolate spheroidal coordinates.
The performance of sorghum mutant lines resulting from gamma-ray mutation on main diseases
Authors: Suriani  , Djaenuddin N , Lestari E G , Nur A , Nadir F A 
Published: June 2023

Abstract
The study aimed to obtain sorghum mutant lines from the Numbu variety resistant to 3 major diseases (leaf rust, leaf spot, and anthracnose). The research was conducted at the ICERI Experimental Garden. The treatments were arranged using a Randomized Block Design with 3 replications with materials tested were five mutant lines derived from a Numbu variety (lines MM-5, MB-3. MB-5. MM-3, MM-4) and resistant comparison varieties (Kawali and Numbu) and check susceptibility lines (Super 2 and line SRN48-1) as a comparison for each disease. The results showed that the five test genotypes had high resistance to 3 main sorghum diseases. The MB-3 and MB-5 mutant lines were resistant to leaf rust and leaf spot Cercospora, and moderately resistant to anthracnose. The lowest infection rate of leaf rust disease was in the MB-5 line, which was 0.0019. This illustrates the low development of rust disease in this line. While the other 3 strains (MM-3, MM-4, and MM-5) consistently reacted moderately resistant to the 2 main diseases of sorghum (rust and anthracnose).
Early growth and genetic performance of Gelam (Melaleuca cajuputi subsp cumingiana) conservation plot: an endemic peatland species in South Sumatera
Authors: Wibisono Y , Hadiyan Y , Haryjanto L , Bastoni  , Muslimin I 
Published: June 2023

Abstract
Gelam (Melaleuca cajuputi subsp cumingiana), is one of the endemic species that is under threat. A conservation plot was developed in the Banyuasin regency. It was designed as Gelam’s genetic conservation area and seed producing area in the near future. The plot was developed in Randomised Completely Block Design and consisted of 60 families, collected from Banyuasin and Bangka regency. It was stretched for 5 tree plots, 6 blocks, and 3x3 m of spacing. A preliminary study has been taken to record and evaluate Gelam’s growth over its genetic variation. It was shown that the survival of the species might vary (23% to 90%) with the population collected from Banyuasin performing a slightly better average. Further, the growth variation did not significantly differ between the two origins while the families affect performed significantly. The family heritability of the growth was moderate for height (h2f = 0.60) and low for diameter (h2f = 0.25) while its genetic correlation was strong (0.76). Through adequate technical support and suitable development strategy, this plot can be designed to provide the improved seed to boost degraded peatland rehabilitation in the region.
Population structures of Pyricularia oryzae Cavara in South Sulawesi
Authors: Kuswinanti T , Patandjengi B , Amin N , Tuwo M 
Published: June 2023

Abstract
Blast disease caused by Pyricularia oryzae is one of the major rice diseases affecting rice output in Indonesia causing a 90% reduction in yield. This study aimed to determine the distribution of Pyricularia oryzae virulence pathotypes (races) in several South Sulawesi regencies. The P. oryzae races were determined in the Green House using 7 rice differential varieties: Asahan, Cisokan, IR 64, Krueng Aceh, Cisadane, Cisanggarung, and Kencana Bali. A total of 72 P. oryzae isolates from Maros, Gowa, Bone, and Pinrang Regencies were tested. The IRRI evaluation standard assessed the disease intensity seven days after inoculation. There were a total of 24 race compositions of P. oryzae were discovered based on the reactions of different rice varieties. However, only two races were dominant. Race 001 was dominant among Pinrang and Maros isolates, whereas race 020 was dominant in Bone and Gowa. Based on this result, monitoring of disease severity and the dynamics of P. oryzae population race structures is important for the breeding and rational distribution of resistant rice varieties.
Estimation of greenhouse gases in rice fields and plantations in Teluk Bintuni Regency, West Papua
Authors: Dudung D , Abbas B , Martanto E A , Tjolly I , Widayati T W , Iyai D A , Supriyantono A , Bawole R 
Published: June 2023

Abstract
The study purpose was to estimate greenhouse gases produced in agricultural sector in Teluk Bintuni Regency. Data were taken from 15 farmer groups from 15 districts, and 6 families of rice farmers assisted by Tangguh LNG’ CSR. The calculation method uses IPCC 2006 Tier 2. The correction factor used in calculating Bintuni’s GHG is adjusted based on land area, soil type, type of fertilizer, and type of irrigation used. The results show that paddy farming activities by rice farmers assisted by Tangguh LNG CSR produce CH4 of 964.45 kg/year, or CO2 of 20.253,54 kg/year. Fertilization activities on paddy fields produced direct emissions of 1344.51 kg CO2, indirect emissions of 436.97kg CO2, fertilizing activities of paddy fields using NPK produced direct NO2 emissions equivalent to 456.70 kg CO2, and indirect emissions of 148.43 kg CO2. Fertilization activities on plantation land using ZA fertilizer produced direct NO2 emissions of 2969.74 kg CO2 and indirect emissions of 965.165 kg CO2, NO2 emissions from NPK fertilizer produced direct emissions of 6074.467 and indirect emissions of 1974.20 kg CO2. It is necessary to further implement low-emission agricultural activities through fertilization of the right size and selection of rice varieties and low-emission irrigation systems.
Social forestry-based conservation through eco-tourism in the village forest of Talaga Paca, North Halmahera Regency
Authors: Simanjuntak R 
Published: June 2023

Abstract
Talaga Paca used to be a community resettlement village of an isolated indigenous community o hongana ma nyawa or Tugutil in North Halmahera Regency, North Maluku Province. In 2019, the Ministry of Environment and Forestry gave approval for the management of a forest area of 865 ha for 35 years in the scheme of village forest to the Talaga Paca Village as part of the social forestry program. Through a wide and strong collaboration between parties, the community is committed to develop ecotourism to improve the community welfare and the conservation of nature. The exploration of biodiversity and ecotourism potential was carried out. There are 36 species of birds identified, some of which are endemic and protected birds. Lake tour, jungle tracking, bird watching, and caving are some ecotourism attractions in the Talaga Paca ecotourism. A total of 30 people of Talaga Paca responded very positive to the social forestry and ecotourism programs in relation with the community empowerment and conservation using the Likert scale. Currently, the people of Talaga Paca have begun to receive the economic benefits of the presence of tourists, and they have a willingness to conserve the nature voluntarily.