bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of different symmetry indices for the quantification of dynamic joint angles
Authors: Siebers Hannah Lena , Alrawashdeh Waleed , Betsch Marcel , Migliorini Filippo , Hildebrand Frank , Eschweiler Jörg 
Published: October 2021

Abstract
Background
Symmetry is a sign of physiological and healthy movements, as pathologies are often described by increased asymmetries. Nevertheless, based on precisely measured data, even healthy individuals will show small asymmetries in their movements. However, so far there do not exist commonly accepted methods and reference values for gait symmetry in a healthy collective. Therefore, a comparison and presentation of reference values calculated by 3 different methods of symmetry indices for lower limb joint angles during walking, ascending, and descending stairs were shown.

Methods
Thirty-five healthy participants were analyzed during walking, ascending, and descending stairs with the help of the inertial measurement system MyoMotion. Using the normalized symmetry index (SInorm), the symmetry index (SI) as the integral of the symmetry function, and another normalized symmetry index (NSI), the symmetry of joint angles was evaluated. For statistical evaluation of differences, repeated measurement models and Bland–Altman-Plots were used.

Results
Apart from a bias between the symmetry indices, they were comparable in the predefined limits of 5%. For all parameters, significantly higher asymmetry was found for ankle dorsi/-plantarflexion, compared with the hip and knee flexion. Moreover, the interaction effect of the joint and movement factors was significant, with an increased asymmetry of the hip and knee during descending stairs greater than while ascending stairs or walking, but a reduced symmetry of the ankle during walking when compared to descending. The movement only showed significant effects when analyzing the SInorm.

Conclusion
Even for healthy individuals, small asymmetries of movements were found and presented as reference values using 3 different symmetry indices for dynamic lower limb joint angles during 3 different movements. For the quantification of symmetrical movements differences between the joints, movements, and especially their interaction, are necessary to be taken into account. Moreover, a bias between the methods should be noted. The potential for each presented symmetry index to identify pathological movements or track a rehabilitation process was shown but has to be proven in further research.
Trial registration: DRKS00025878.
Intraindividual comparison of [68 Ga]-Ga-PSMA-11 and [18F]-F-PSMA-1007 in prostate cancer patients: a retrospective single-center analysis
Authors: Hoberück Sebastian , Löck Steffen , Borkowetz Angelika , Sommer Ulrich , Winzer Robert , Zöphel Klaus , Fedders Dieter , Michler Enrico , Kotzerke Jörg , Kopka Klaus , Hölscher Tobias , Braune Anja 
Published: October 2021

Abstract
Background
The analysis aimed to compare the radiotracers [68Ga]-Ga-PSMA-11 and [18F]-F-PSMA-1007 intraindividually in terms of malignant lesions, mi(molecular-imaging)TNM staging and presumable unspecific lesions retrospectively as used in routine clinical practice.

Methods
A retrospective analysis of 46 prostate cancer patients (median age: 71 years) who underwent consecutive [68Ga]-Ga-PSMA-11- and [18F]-F-PSMA-1007-PET/CT or PET/MRI within a mean of 12 ± 8.0 days was performed. MiTNM staging was performed in both studies by two nuclear medicine physicians who were blinded to the results of the other tracer. After intradisciplinary and interdisciplinary consensus with two radiologists was reached, differences in both malignant and presumable nonspecific tracer accumulation were analyzed.

Results
Differences in terms of miTNM stages in both studies occurred in nine of the 46 patients (19.6%). The miT stages differed in five patients (10.9%), the miN stages differed in three patients (6.5%), and different miM stages occurred only in one patient who was upstaged in [18F]-F-PSMA-1007 PET. Concordant miTNM stages were obtained in 37 patients (80.4%). There was no significant difference between [18F]-F-PSMA-1007 and [68Ga]-Ga-PSMA-11 in the SUVmax locally (31.5 vs. 32.7; p = 0.658), in lymph node metastases (28.9 vs. 24.9; p = 0.30) or in bone metastases (22.9 vs. 27.6; p = 0.286). In [18F]-F-PSMA-1007 PET, more patients featured presumable unspecific uptake in the lymph nodes (52.2% vs. 28.3%; p: < 0.001), bones (71.7% vs. 23.9%; p < 0.001) and ganglia (71.7% vs. 43.5%; p < 0.001). Probable unspecific, exclusively [18F]-F-PSMA-1007-positive lesions mainly occurred in the ribs (58.7%), axillary lymph nodes (39.1%) and cervical ganglia (28.3%).

Conclusion
In terms of miTNM staging, both tracers appeared widely exchangeable, as no tracer relevantly outperformed the other. The differences between the two tracers were far more common in presumable unspecific lesions than in malignant spots. A routinely performed two-tracer study could not be shown to be superior. Since it seems at least challenging for most nuclear medicine departments to provide both [18F]-F-PSMA-1007 and [68Ga]-Ga-PSMA-11, it appears reasonable to choose the PSMA radiotracer depending on local availability with attention to the greater occurrence of nonspecific bone findings with [18F]-F-PSMA-1007.
Impact of the fear and Allee effect on a Holling type II prey–predator model
Authors: Xie Binfeng 
Published: October 2021

AbstractIn this paper, we propose and investigate a prey–predator model with Holling type II response function incorporating Allee and fear effect in the prey. First of all, we obtain all possible equilibria of the model and discuss their stability by analyzing the eigenvalues of Jacobian matrix around the equilibria. Secondly, it can be observed that the model undergoes Hopf bifurcation at the positive equilibrium by taking the level of fear as bifurcation parameter. Moreover, through the analysis of Allee and fear effect, we find that: (i) the fear effect can enhance the stability of the positive equilibrium of the system by excluding periodic solutions; (ii) increasing the level of fear and Allee can reduce the final number of predators; (iii) the Allee effect also has important influence on the permanence of the predator. Finally, numerical simulations are provided to check the validity of the theoretical results.
On highly efficient derivative-free family of numerical methods for solving polynomial equation simultaneously
Authors: Shams Mudassir , Rafiq Naila , Kausar Nasreen , Agarwal Praveen , Park Choonkil , Mir Nazir Ahmad 
Published: October 2021

AbstractA highly efficient new three-step derivative-free family of numerical iterative schemes for estimating all roots of polynomial equations is presented. Convergence analysis proved that the proposed simultaneous iterative method possesses 12th-order convergence locally. Numerical examples and computational cost are given to demonstrate the capability of the method presented.
Modeling long-term volcanic deformation at Kusatsu-Shirane and Asama volcanoes, Japan, using the GNSS coordinate time series
Authors: Munekane Hiroshi 
Published: October 2021

AbstractLong-term deformation of Kusatsu-Shirane and Asama volcanoes in central Japan were investigated using Global Navigation Satellite System (GNSS) measurements. Large postseismic deformation caused by the 2011 Tohoku earthquake—which obscures the long-term volcanic deformation—was effectively removed by approximating the postseismic and other recent tectonic deformation in terms of quadrature of the geographical eastings/northings. Subsequently, deformation source parameters were estimated by the Markov Chain Monte Carlo (MCMC) method and linear inversion, employing an analytical model that calculates the deformation from an arbitrary oriented prolate/oblate spheroid. The deformation source of Kusatsu-Shirane volcano was found to be a sill-like oblate spheroid located a few kilometers northwest of the Yugama crater at a depth of approximately 4 $$\text {km}$$
km
, while that of Asama was also estimated to be a sill-like oblate spheroid beneath the western flank of the edifice at a depth of approximately 12 $$\text {km}$$
km
, along with the previously reported shallow east–west striking dike at a depth of approximately 1 $$\text {km}$$
km
. It was revealed that (1) volume changes of the Kusatsu-Shirane deformation source and the shallow deformation source of Asama were correlated with the volcanic activities of the corresponding volcanoes, and (2) the Asama deep source has been steadily losing volume, which may indicate that the volcano will experience fewer eruptions in the near future.
A review of unusual VLF bursty-patches observed in Northern Finland for Earth, Planets and Space
Authors: Martinez-Calderon Claudia , Manninen Jyrki K. , Manninen Jemina T. , Turunen Tauno 
Published: October 2021

AbstractUsing numerical filtering techniques allowing us to reduce noise from sferics, we are able to clearly study a new type of differently structured very low frequency (VLF) radio waves above f = 4 kHz at the ground station of Kannuslehto in northern Finland (KAN, MLAT = 64.4°N, L = 5.5). These emissions are intriguing, since they are detected at frequencies above half the electron gyrofrequency in the equatorial plane (fce) for the L-shell of Kannuslehto (fce ~ 5–6 kHz). They are commonly observed at Kannuslehto, but have also been infrequently reported at other stations, sometimes under different names. Their possible common origin and manner of propagation is still under investigation. This paper unifies the nomenclature by regrouping all these waves detected at frequencies higher than the local equatorial 0.5 fce at the L-shell of observation under the name of VLF bursty-patches. While these waves have different spectral features, they appeared mostly composed of hiss bursts with durations of a few seconds to several minutes. They also show periodic features with varying periodicity and shape. They are sometimes characterized by single bursts covering very large frequency ranges of several kHz. We also give a review of the different characteristics of VLF bursty-patches observed at Kannuslehto, which at the moment, is the station with the highest observation rate. We present recent observations between 2019 and 2021.
Targeting PPARα in low ambient temperature exposure-induced cardiac dysfunction and remodeling
Authors: Chen Xi-Yao , Jiao Yang , Zhang Fu-Yang 
Published: October 2021

AbstractThe present study demonstrates that the down-regulation of peroxisome proliferator-activated receptor-α (PPARα) results in chronic low ambient temperature (LT) exposure-induced cardiac dysfunction and remodeling, emphasizing the therapeutic potential of PPARα activation strategies (e.g. fenofibrate treatment) in LT-associated cardiac injury.
Realization of a polarization-insensitive optical frequency-domain reflectometer using an I/Q homodyne detection
Authors: Jderu Alin , Soto Marcelo A. , Enachescu Marius , Ziegler Dominik 
Published: October 2021

AbstractWe report on the development and implementation of an optical frequency-domain reflectometer (OFDR) sensing platform. OFDR allows to measure changes in strain and temperature using optical fibers with a length of several tens of meters with very high spatial resolution. We discuss the operation principles and challenges to implement an OFDR system using optical homodyne detection based on a dual-polarization 90° optical hybrid. Our setup exhibits polarization and phase diversity, fully automated data acquisition and data processing using a LabVIEW-based implemented software environment. Using an optical hybrid enables to discriminate phase, amplitude and polarization by interfering the Rayleigh scatter signal and a local oscillator with four 90° phase stepped interferences between the two signals. Without averaging and a fast acquisition time of 230 ms, our preliminary results show a spatial resolution of 5 cm and a temperature resolution of about 0.1 Kelvin on a 3 m-long fiber.
Southern corn rust caused by Puccinia polysora Underw: a review
Authors: Sun Qiuyu , Li Leifu , Guo Fangfang , Zhang Keyu , Dong Jiayu , Luo Yong , Ma Zhanhong 
Published: October 2021

AbstractSouthern corn rust (SCR) caused by Puccinia polysora Underw is one of the most devastating maize diseases, resulting in substantial yield losses worldwide. The pathogen is an obligate biotrophic parasite that is difficult to culture on artificial media. In recent years, the disease has become prevalent—both globally and in China—and increasing difficult to control because of its wide distribution, long-distance migration, multiple physiological races and fast evolution, all of which have contributed to a considerable increase in the risks of associated epidemics. In this review, we summarize the current knowledge of P. polysora, with emphasis on its global distribution (particularly in China), life and disease cycle, population genetics, migration, physiological races, resistance genes in maize and management. Understanding the underlying factors and processes in SCR epidemics should facilitate management of the disease and breeding for resistant maize varieties.
Variable demand model for periodically reviewing with allowing refunding parts of the orders
Authors: Hollah O. M. 
Published: October 2021

AbstractDepending on a field study for one of the largest iron and paints warehouses in Egypt, this paper presents a new multi-item periodic review inventory model considering the refunding quantity cost. Through this field study, we found that the inventory level is monitored periodically at equal time intervals. Returning a part of the goods that were previously ordered is permitted. Also, a shortage is permissible to occur despite having orders, and it is a combination of the backorder and lost sales. This model has been applied in both crisp and fuzzy environments since the fuzzy case is more suitable for real-life than crisp. The Lagrange multiplier technique is used for solving the restricted mathematical model. Here, the demand is a random variable that follows the normal distribution with zero lead-time. Finally, the model is followed by a real application to clarify the model and prove its efficiency.
Barriers to Cancer Care in Northern Tanzania: Patient and Health-System Predictors for Delayed Presentation
Authors: Rick Tara J. , Aagard Magdeline , Erwin Erica , Leintz Caara , Danik Elizabeth , Serventi Furaha , Henke Oliver , Yeates Karen 
Published: October 2021

PURPOSECancer is a growing problem in Africa, and delays in receiving timely cancer care often results in poorer outcomes. The purpose of this study was to identify the patient and health-system factors associated with delayed cancer care in adults living in the Northern Zone of Tanzania.PATIENTS AND METHODSBetween July 2018 and July 2019, we surveyed adult patients presenting to an oncology clinic in Northern Tanzania. Delayed presentation was defined as 12 weeks or longer from initial symptoms to presentation for cancer care. Multivariate Poisson regression and adjusted relative risk (aRR) were used to identify factors predicting delayed presentation.RESULTSAmong 244 adult patients with cancer who completed the survey, 78% (n = 191) had delayed presentation. Patient-related factors associated with delayed presentation included lower educational attainment ( P = .03), increased travel time ( P = .05), lack of cancer knowledge ( P < .05), and fear of cancer and cancer treatments ( P < .05) on multivariate analysis. On analysis of aRR, patients without private car and those with health insurance had higher risk of delayed presentation (aRR: 1.27; 95% CI, 1.02 to 1.32 and aRR: 1.15; 95% CI, 1.01 to 1.32). There was a strong association with increased number of visits before presentation at the cancer center and delayed presentation ( P = .0009).CONCLUSIONCancer awareness and prevention efforts targeting patients and community-level health care workers are key to reduce delays in cancer care in Northern Tanzania.
The relationship between umbilical–portal–systemic venous shunt and outcome in 11 fetuses
Authors: Fang Liu , Xueyan Wang , Yangxue Xiao , Xiaohang Zhang , Suzhen Ran , Lan Zhou , Deying He 
Published: October 2021

Objective: To investigate the relationship between congenital umbilical–portal–systemic venous shunt (UPSVs) and fetal outcome. Methods: The ultrasonographic and genetic characteristics of 11 cases of UPSVS were retrospectively analyzed and followed up to postnatal. Results: Four cases of ductus venosus -- systemic shunt (DVSS), one case of extrahepatic portal -- systemic shunt (EHPSS), and one case of umbilical systemic shunt (USS) combined with intrahepatic portal-systemic shunt (IHPSS), six cases of intrahepatic portal-systemic shunt (IHPSS) were observed. chromosomal abnormalities were observed in 9.1% (1/11), other ultrasonic abnormalities in 54.5% (6/11), cardiothoracic ratio increase in 45.5% (5/11), fetal growth restriction in 36.4% (4/11), edema was in 9.1% (1/11) and live birth was in 72.7% (8/11). Conclusion: The incidence of IHPSS is the highest and the outcome is the best. Shunt of DVSS and IHPSS can be closed spontaneously after birth. When the prenatal diagnosis is congenital UPSVs, chromosomal abnormalities and other ultrasonic abnormalities should be required further examination, and the growth and development of the fetus should be closely monitored.
Pancreatic cancer grading in pathological images using deep learning convolutional neural networks
Authors: Mohamad Sehmi Muhammad Nurmahir , Ahmad Fauzi Mohammad Faizal , Wan Ahmad Wan Siti Halimatul Munirah , Wan Ling Chan Elaine 
Published: October 2021

Background: Pancreatic cancer is one of the deadliest forms of cancer. The cancer grades define how aggressively the cancer will spread and give indication for doctors to make proper prognosis and treatment. The current method of pancreatic cancer grading, by means of manual examination of the cancerous tissue following a biopsy, is time consuming and often results in misdiagnosis and thus incorrect treatment. This paper presents an automated grading system for pancreatic cancer from pathology images developed by comparing deep learning models on two different pathological stains. Methods: A transfer-learning technique was adopted by testing the method on 14 different ImageNet pre-trained models. The models were fine-tuned to be trained with our dataset. Results: From the experiment, DenseNet models appeared to be the best at classifying the validation set with up to 95.61% accuracy in grading pancreatic cancer despite the small sample set. Conclusions: To the best of our knowledge, this is the first work in grading pancreatic cancer based on pathology images. Previous works have either focused only on detection (benign or malignant), or on radiology images (computerized tomography [CT], magnetic resonance imaging [MRI] etc.). The proposed system can be very useful to pathologists in facilitating an automated or semi-automated cancer grading system, which can address the problems found in manual grading.
A patient information video for treatment under intravenous conscious sedation: considerations, challenges and prospects
Authors: Tagar Harjit , Modgill Omesh , Patel Jashme , Edwards Julie , Obisesan Olamide 
Published: October 2021

This article describes the use of a newly developed animation for the delivery of patient information pertinent to dental treatment performed under intravenous conscious sedation, and provides an understanding of how digital health-related information impacts upon the patient experience. This article provides insight into the rationale for using animation as a means to deliver healthcare-related information, the process undertaken to develop this animation and how the themes and imagery in the animation can be used more broadly to further enhance the patient experience in primary and secondary dental care settings. CPD/Clinical Relevance: This article outlines the process of developing an animation for patient information and the impact animation can have upon patient experience locally as an aid to delivering instructions.
Development and Optimization of a Deep-Learning-Based Egg-Collecting Robot
Authors: Li Guoming , Chesser Gary D. , Huang Yanbo , Zhao Yang , Purswell Joseph L. 
Published: October 2021

HighlightsAn egg-collecting robot embedded with deep-learning-based computer vision algorithms was constructed.The retrained deep-learning detector achieved &gt;93% performance for detecting and locating eggs in images.The kernel sizes of 65 × 65 pixels for erosion and dilation in image processing assisted in extracting geometry features of eggs with the least remaining noises.The robot with soft grouting sponge on the gripper had 92% to 94% success in picking white and brown eggs.Abstract. Manual collection of floor eggs in cage-free hen housing systems is time-consuming and laborious. The objectives of this study were to (1) develop a robot to automatically collect floor eggs and (2) optimize the performance of recognizing and picking eggs with the robot. The robot consisted of a deep-learning-based egg detector, a robot arm, a two-finger gripper, and a hand-mounted camera. The deep-learning model, You Only Look Once (YOLO) V3, was embedded in the vision system to detect and locate eggs on a simulated litter floor in real-time. Image processing algorithms (e.g., cropping, erosion, etc.) were implemented for the detection and provided the robot with centroid coordinates, orientation, and axis lengths of the detected eggs, so that the gripper could be manipulated with an appropriate angle and opening width to grasp the detected eggs. For optimization, the YOLO V3 model was retrained with a dataset of floor eggs and achieved &gt;93% performance in detecting and locating eggs. The kernel size of 65 × 65 pixels for erosion and dilation in image processing assisted in extracting the geometry features of eggs with the least remaining noises. Among the tested materials, soft grouting sponge attached to the gripper had the highest success rates for egg picking. The robot achieved 92% to 94% success in picking white and brown eggs. In sum, the developed egg-collecting robot can be relied on for picking floor eggs to assist in precision management of cage-free hen housing systems. Keywords: Floor egg, Image processing, Laying hen, Robot arm, Soft gripper, YOLO V3.
Time-resolved imaging of CaF2 poly-crystal response following 355  nm nanosecond laser irradiation
Authors: Meng Jiuling , Jiang Yong , Qiu Rong , Lü Tao 
Published: October 2021

The evolution of 355 nm nanosecond laser-induced damage to

C
a
F

2

poly-crystals is investigated by using the time-resolved pump-probe shadowgraph technique. The damage morphologies of the front surface, rear surface, and interior of the

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F

2

crystal are imaged by optical microscopy. When the rear surface is focused by one laser pulse throughout the front surface, three shock waves (SWs) and one SW are observed in the air beside the front and rear surfaces, respectively. When the laser energies are 40 mJ and 60 mJ, at delay time of 1000 ns the radii of SW fronts beside the front surface are 2569.8 µm and 2831.7 µm, while those beside the rear surface are 1012.9 µm and 1078.1 µm, respectively. The filamentary channels inside the

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F

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crystal are established before the end of a laser pulse at energies of 25, 40, or 60 mJ. The average propagation velocities of SWs along the filamentary channel are approximately 8.2 µm/ns. The maximum diameters of channels can reach approximately 53 µm and 128 µm for 25 mJ energy and 40 mJ energy, respectively. The experimental results help to explore the mechanism of laser-induced

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poly-crystal damage in nanosecond regime.