bluuebunny/crossref_metadata_2025_split huggingface dataset:
Homeopathic Treatment in Patients with COVID-19: Analysis of Clinical Evolution and Comparison between Cases in 2020 and 2021
Authors: Fujino Fernanda Maria Simões da Costa , Olandim Ana Amélia Campos Claro , Coggan Jennifer Anne , Carvalho Junior Antonio Deusany de , Bufalo Adriana de Queiroz Soares , Takeyama Eduardo Nishimiya , Sant'Ana Soraya Cristina , Barnabé Vagner Doja , Benites Nilson Roberti 
Published: September 2022

Abstract
Background The manifestations of coronavirus disease 2019 (COVID-19) can result in several prognoses and lead patients to look for appropriate complementary or alternative treatment options according to their personal situation and available health care. Patients with mild symptoms or those who have not yet reached the maximum severity of their condition are those who seek outpatient care, where homeopathic treatment might be considered, given the well documented history of this medical system in several epidemics in the past.
Objective The aim of this study was to compare the homeopathic treatment used for symptomatic cases of COVID-19 in March and April 2020 with cases treated in March and April 2021.
Method This is a retrospective observational study based on the analysis of the medical records of symptomatic COVID-19 patients treated on an outpatient basis with homeopathy at the Hahnemanniano George Galvão Institute in São Paulo, Brazil. We analyzed 54 cases, divided into two samples (27 cases in each year), similar in relation to age, gender and origin of the patients.
Results The development was distinct in the 2 years, with improvement of symptoms after 3 days of the first homeopathic prescription in 2020 whilst in 2021 the improvement occurred from the sixth day onward. The most frequently prescribed homeopathic medicine also differed in the two samples (Antimonium tartaricum in 2020; Arsenicum album in 2021), which indicates the different disease characteristics at these two moments of the epidemic.
Conclusion In 2020, the symptomatology of the cases was mainly acute and the main medicine was Antimonium tartaricum. By comparison, in 2021 a greater interference from individuals' previous chronic miasmatic disease may explain the change in the main medicines used that year, with Arsenicum album being the most prescribed in the cases studied.
Venture of a Tertiary Care Neurosurgical Center in Course of COVID-19 Lockdown without RT-PCR
Authors: Rajbhandari Pravesh , Gurung Pritam , Shrestha Resha , Dhakal Sudan , Shrestha Janam , Sharma Upama , Shrestha Dinuj , Nepal Gopi , Shrestha Bishal , Sah Kailash , Acharya Samir , Shrestha Pranaya , Rajbhandari Reema , Chandra Avinash , Mali Shani , Dabadi Sambardhan , Dhungel Raju Raj , Shrestha Jitesh , Palikhe Anusha , Karki Shambhu Bahadur , Pant Basant 
Published: September 2022

Abstract“I will not permit considerations of age, disease or disability, creed, ethnic origin, gender, nationality, political affiliation, race, sexual orientation, social standing or any other factor to intervene between my duty and my patient.” Obliged by the aforementioned oath, no medical practitioner shall sit in a moral judgment on any patient but will treat their illness to the best of their ability whatever the circumstances. A clear concord was yet to be authorized after the World Health Organization (WHO) declared the global pandemic of severe acute respiratory syndrome coronavirus 2infection. As a diagnostic modality, WHO recommended real-time reverse transcription–polymerase chain reaction (RT-PCR) as a reliable test; however, its availability in a deprived nation like ours became a major restraining factor. Despite an asset of having high specificity, RT-PCR for coronavirus disease 2019has its own liability of having low sensitivity. Henceforth, as time passed by, the validity of the rapid diagnostic tests was put into question. In later months, a few centers around our periphery started conducting RT-PCR, but the time taken to obtain the result was long-drawn-out process and the patient who needed urgent neurosurgical intervention at Annapurna Neurological Institute and Allied Sciences had to wait. We would like to share our expedition through peaks and valleys of managing 215 patients during the vicious circle of lockdown and global pandemic.
Transthoracic Migration of a Foreign Body into the Diaphragm from the Gunshot Injury and Its Management in a Child: A Case Report
Authors: Dantis Klein , Mehsare Pranay Suresh , Singha Subrata Kumar , Gupta Nilesh 
Published: September 2022

AbstractIntrapleural foreign bodies (FB) are rare and uncommon, while diaphragmatic FB secondary to gunshot injury in a child is still rarer. We now describe a 9-year-old male with a history of self-inflicted accidental air gun injury on the right side of the midline of the sternum with transthoracic migration of FB—lead bullet—measuring 1cm x1.4cm into the diaphragm managed initially with intercostal tube drainage for right hemopneumothorax at the different center underwent thoracoscopy followed by minithoracotomy and retrieval under C-arm guidance that has not been reported in the literature.
ICU Admissions and Outcomes of Childhood Cancer Patients in Single Tertiary Hospital in the Private Sector in India
Authors: Marwah Harleen , Tripathi Rashi , Saikia Bhaskar , Anand Preeti , Arora Ramandeep Singh 
Published: September 2022

Background Modern-day treatment of childhood cancer is punctuated by the necessary need for intensive care. This study was performed to understand the intensive care unit (ICU) admission rates and factors associated with ICU admission in a cohort of newly diagnosed childhood cancer patients in India.
Materials and Methods All childhood (age <18 years) patients in the hospital-based cancer registry who had registered between March 1, 2013, and May 31, 2018, formed the cohort. ICU admissions were recorded and demographic and clinical factors associated with ICU admission were investigated. ICU admission rates were the primary outcome of interest and secondary outcomes were ICU admission rates for sick/supportive reasons, ICU admission rates for surgical/procedural reasons and mortality during ICU admission.
Results In a cohort of 258 children (66% males, 61% from India, and median age 7 years), 149 (58%) patients needed one or more ICU admission (median one with range of one to five) with total 204 ICU admission episodes. While age group, gender, and nationality were not significantly associated with ICU admission, cancer type was (highest in neuroblastoma (82%) and central nervous system (CNS) tumors (71%)). Sick/supportive care ICU admissions were significantly higher in patients of younger age, Indian origin, and certain cancers (leukemias, lymphomas). Surgical/procedural ICU admissions were significantly higher in international patients and certain cancers (CNS tumors, neuroblastomas, and soft tissue sarcomas). There were 17 ICU deaths (11% of patients admitted to ICU) and all but one were from sick/supportive care ICU admissions.
Conclusion Our study highlights higher than reported ICU admission rates and lower than reported mortality in children with cancer in low- and middle-income countries. We next plan to develop more specific ICU admission criteria, prospectively evaluating severity metrics in these patients, and explore the development of a high dependency unit.
A piezoelectric-driven resonant unit for high-viscosity-liquid injection
Authors: Hou Yi , He Lipeng , Hu Renhui , Hu Dianbin , Yu Baojun , Cheng Guangming 
Published: September 2022

In this paper, a piezoelectric-driven resonant unit for high-viscosity-liquid injection is introduced. For high-viscosity-liquid delivery in low voltage and frequency, a vibrating block is fixed under the rectangular piezoelectric actuator, to transport the vibration to the chamber, leading the unit into resonant state. The valveless chamber is designed eccentrically to promote the tendency of positive flow and diminish the backflow. Numerical simulation and analyses are carried out to optimize the chamber design, and the experiments with liquid in different viscosity, radius of the vibrating block, and the influence of gravity are conducted. The unit achieves a fast delivery speed with a relatively high liquid viscosity compared to the similar study, as the highest flow rate of 52.4, 88.4, and 103.9 ml/min at 100 V, 60 Hz with the liquid of 54.42, 21.13 cP, and water, respectively. The flow rate drops by 40.7%, while the liquid viscosity increases 157.5%.
University student understanding and reasoning on work–energy relations
Authors: Gutiérrez-Berraondo José , Zuza Kristina , Zavala Genaro , Sarriugarte Paulo , Guisasola Jenaro 
Published: September 2022

Abstract
An understanding the general principle of work and energy (GPWE) is essential to apply work and energy relations in general physics courses. In this paper, students’ reasoning about the GPWE is analysed in a social-constructivist theoretical framework of conceptual understanding and reasoning. We designed a questionnaire with open-ended questions to detect students’ difficulties with the concepts involved. The responses were analysed by defining explicative categories for student understanding. We have identified ‘intermediate frames’ for understanding GPWE. The ‘intermediate frames’ that students construct halfway between their prior knowledge and scientific understanding include reasoning, such as (a) considering superficial features and incorrectly analysing particular cases (b) not considering that the application of the GPWE is only valid in a previously chosen system.
Quantum control methods for robust entanglement of trapped ions
Authors: Valahu C H , Apostolatos I , Weidt S , Hensinger W K 
Published: September 2022

Abstract
A major obstacle in the way of practical quantum computing is achieving scalable and robust high-fidelity entangling gates. To this end, quantum control has become an essential tool, as it can make the entangling interaction resilient to sources of noise. Nevertheless, it may be difficult to identify an appropriate quantum control technique for a particular need given the breadth of work pertaining to robust entanglement. To this end, we attempt to consolidate the literature by providing a non-exhaustive summary and critical analysis. The quantum control methods are separated into two categories: schemes which extend the robustness to (i) spin or (ii) motional decoherence. We choose to focus on extensions of the σ

x
⊗ σ

x
Mølmer–Sørensen interaction using microwaves and a static magnetic field gradient. Nevertheless, some of the techniques discussed here can be relevant to other trapped ion architectures or physical qubit implementations. Finally, we experimentally realize a proof-of-concept interaction with simultaneous robustness to spin and motional decoherence by combining several quantum control methods presented in this manuscript.
Ab initio calculations of the hyperfine structure of 109Cd, 109Cd+ and reevaluation of the nuclear quadrupole moment Q(109Cd)
Authors: Lu Benquan , Lu Xiaotong , Wang Tao , Chang Hong 
Published: September 2022

Abstract
Large scale ab initio calculations of the electric contribution (i.e. the electric field gradient (EFG)) to the electric quadrupole hyperfine interaction constants B for the

5

p

2

P

3
/
2

o

state of 109Cd+ ion and the

5
s
5

p

3

P

1
,
2

o

states of neutral 109Cd atom were performed. To probe the sensitivity of B to different electron correlation effects, six sets of variational multi-configuration Dirac–Hartree–Fock and relativistic configuration interaction calculations employing different strategies were carried out. The calculated EFGs, together with experimental values of B, allow us to extract a new value of the nuclear electric quadrupole moment Q(109Cd) = 0.634(22) b which is about 5% larger than the recommended value (Stone 2016 At. Data Nucl. Data Tables
111–112 1; Pyykkö 2018 Mol. Phys.
116 1328). Efforts were made to provide a realistic theoretical uncertainty for the final Q value based on statistical principles and correlation with the magnetic dipole hyperfine interaction constant A.
A novel E-mode GaN p-MOSFET featuring charge storage layer with high current density
Authors: Chen Kuangli , Su Yuanzhang , Ruan Jiajia , Cai Yonglian , Zhu Liyang , Zhang Bo , Zhou Qi 
Published: September 2022

Abstract
In this work, a trench gate enhancement-mode GaN p-type metal oxide semiconductor field effect transistor featuring charge storage (CS) layer is proposed, which exhibits an effectively improved current density. Based on device simulations, the current density can be increased by 154% (@V
DS = −5 V, V
GS = −7 V) compared with conventional devices without CS layer. Besides, the impact of the critical parameters including AlGaN barrier thickness t, Al mole-fraction x, trench gate depth T
recess, and negative charge concentration N
CSL on device performance are studied and optimized. In this case, the p-MOSFETs show an on-current |I
ON, max| of 14 mA mm−1, V
TH of −0.47 V, I
ON
/I
OFF of >108, and on-resistance R
ON of 0.27 kΩ mm. The proposed GaN p-MOSFETs exhibit a promising method to improve the current drive capability of GaN p-channel devices.
Performance of passive daytime radiative cooling coating with CaSiO3 enhanced solar reflectivity and atmospheric window emissivity
Authors: Liu Mingrao , Zhang Shuai , Li Fuxi , Zhang Canying , Zhu Haitao , Wu Daxiong 
Published: September 2022

Abstract
Passive daytime radiative cooling (PDRC) emerges as an environmentally friendly cooling strategy for its zero demand of electricity and fossil energy. In this study, PDRC coating containing polymethylmethacrylate and CaSiO3 was prepared with a simple process at low cost. The solar reflectivity, atmospheric window emissivity and radiative cooling performance of the prepared coating were investigated. The coating exhibits an average solar reflectance of 96.4% and an average atmospheric window emittance of 97.0%. Under direct solar irradiation, the coating can achieved an average sub-ambient temperature drop of 5.5 °C and an average net radiative cooling power of 72 W m−2. The results are on par with those of the efficient radiative coolers in the literature. Experimental investigation also suggests that the coating has application prospect in dew condensation and retarding the melting process of ice. This study provides a cost-efficient and commercially feasible strategy to fabricate PDRC coating.
Nodeless superconductivity in topologically nontrivial materials HfRuP and ZrRuAs
Authors: Duan Weiyin , Nie Zhiyong , Yan Dayu , Su Hang , Chen Yuxin , Chen Ye , Shi Youguo , Song Yu , Yuan Huiqiu 
Published: September 2022

Abstract
Topologically nontrivial electronic states are recently found in a family of noncentrosymmetric transition metal pnictides TRuX (

T
=

Zr, Hf;

X
=

P, As), presenting a unique platform for superconductivity to interplay with topological electronic states and asymmetric spin–orbit coupling. Here, we investigate the superconducting order parameter of HfRuP and ZrRuAs by measuring the magnetic penetration depth change

Δ
λ
(
T
)

using a method based on the tunnel-diode oscillator. Both compounds show clear exponential temperature dependence in

Δ
λ
(
T
)

at low temperatures, suggesting fully-gapped superconductivity. Moreover, the superfluid densities in both HfRuP and ZrRuAs can be reasonably described by an s-wave superconducting model.
Earth orientation parameters prediction based on the hybrid SSA + LS + SVM model
Authors: Yang Yuguo , Nie Wenfeng , Xu Tianhe , Fang Zhenlong , Xue Huijie , Sun Zhangzhen 
Published: September 2022

Abstract
The high-precision prediction of Earth orientation parameters (EOPs) is essential for astro-geodynamics, high-precision space navigation and positioning, on-board autonomous orbits determination and deep space exploration. However, the prediction accuracy of existing models is much lower than the estimation accuracy of geodetic technical solutions, which affects certain high-precision real-time users. To improve the prediction accuracy of EOP in short- and long-term period, we propose a hybrid model by combining the singular spectrum analysis (SSA), least squares (LSs) and support vector machine (SVM) in the study. Through SSA algorithm, the deterministic time-varying signal of EOP time series can be more precisely and reasonably detected and modeled. Based on the optimization theory, we reconstruct the EOP sequences using SSA and establish the LS extrapolation model based on the reconstructed series. Then, the residuals from SSA reconstruction and those from the LS model, are used for SVM training and prediction. The results of two-year prediction experiments based on the EOP 14 C04 series show that the proposed hybrid model has significant improvements in polar motion (PM) and length of day (LOD) for different prediction intervals (1–360 d) compared with the LS + autoregression (AR) model. The prediction error for x-component of polar motion (PMX) is reduced by 40.2%, 31.0% and 51.4% while that for y-component of polar motion (PMY) is 22.1%, 23.3% and 55.6% for prediction period of 30, 90 and 180 d respectively. For LOD, the maximum prediction improvement can reach to 53.8% during the predicted 360 d. In addition, the proposed method has better accuracy in mid- and long-term PM(x, y) predictions compared to the Bulletin A, with a 360 d prediction error of 27.273 and 21.741 mas.
Dense interpolations of LPT data in the presence of generic solid objects
Authors: Cakir Bora O , Gonzalez Saiz Gabriel , Sciacchitano Andrea , van Oudheusden Bas 
Published: September 2022

Abstract
Three-dimensional Lagrangian particle tracking measurements with helium filled soap bubbles provide quantitative flow visualizations in large measurement volumes up to the cubic metre scale. However, the instantaneously available fluid information density is severely restricted by the finite spatial resolution of the measurements. Therefore, the use of experimental data assimilation approaches are utilized to exploit the temporal information of the flow measurements, along with the governing equations of the fluid motion, to increase the measurement spatial resolution. Nevertheless, only in the last years, attempts to apply data assimilation methods to enhance the Lagrangian particle tracking (LPT) resolution in proximity of solid boundaries have been performed. Thus, in order to handle generic solid body intrusions within the densely interpolated LPT data, two different approaches based on the computational fluid-structure interaction frameworks are proposed. The introduced variants of the state of the art physics-driven data assimilation methods are assessed with a high fidelity numerical test case of flow over periodic hills. The accuracy superiority of the flow field reconstructions with the proposed approaches are denoted especially in close proximity of the interaction surface. An experimental application of the introduced methods is demonstrated to compute the pressure distribution over an unsteadily moving elastic membrane surface, revealing the time-resolved interaction between the flow structures and the membrane deformations.
Diagnosis of rectal cancer based on the Xception-MS network
Authors: Yi Sanli , Wei Yanrong , Luo Xiaomao , Chen Dong 
Published: September 2022

Abstract

Objective. Accurate T staging of rectal cancer based on ultrasound images is convenient for doctors to determine the appropriate treatment. To effectively solve the problems of low efficiency and accuracy of traditional methods for T staging diagnosis of rectal cancer, a deep-learning-based Xception-MS diagnostic model is proposed in this paper. Approach. The proposed diagnostic model consists of three steps. First, the model preprocesses rectal cancer images to solve the problem of data imbalance and deficiency of sample size, and reduces the risk of model overfitting. Second, a new Xception-MS network with stronger feature extraction capability, which is a combination of the Xception network and MS module, is proposed. The MS module is a new function module that can more effectively extract multi-scale information from rectal cancer images. In addition, to solve the deficiency of the small sample size of rectal cancer, the proposed network is combined with transfer learning technology. At last, the output layer of the network is modified, in which the global average pooling and a fully connected softmax layer are employed to replace the original ones, and then the rectal cancer 4 classification (T1, T2, T3, T4 staging) is output. Main results. Experiments of rectal cancer T staging are conducted on a dataset of 1078 rectal cancer images in 4 categories collected from the Department of Colorectal Surgery of the Third Affiliated Hospital of Kunming Medical University. The experimental results show that the accuracy, precision, recall and F1 values obtained by the model are 94.66%, 94.70%, 94.65%, and 94.67%, respectively. Significance. The experimental results show that our model is superior to the existing classification models, can effectively and automatically classify ultrasound images of rectal cancer, and can better assist doctors in the diagnosis of rectal cancer.
Ensemble classification combining ResNet and handcrafted features with three-steps training
Authors: Garcia-Isla Guadalupe , Muscato Federico M. , Sansonetti Andrea , Magni Stefano , Corino Valentina D. A. , Mainardi Luca T. 
Published: September 2022

Abstract

Objective. This work presents an ECG classifier for variable leads as a contribution to the Computing in Cardiology Challenge/CinC Challenge 2021. It aims to integrate deep and classic machine learning features into a single model, exploring the proper structure and training procedure. Approach. From the initial 88 253 signals, only 84 210 were included. Low quality and unscored recordings were excluded. Three different database subsets of 40 365 recording each were created by dividing in three normal sinus rhythm and sinus bradycardia recordings. Each subset was used to train a different model with shared architecture integrated as an ensemble to provide the final classification through major voting. Models contained a deep branch composed of a modified ResNet with dilation convolutional layers and squeeze and excitation Block that took as input windowed ECG signals. This was concatenated with a wide branch that integrated 20 cardiac rhythm features into a fully connected 3-layered network. Three different training steps were studied: just the deep branch (D), wide integration and training (D+W), and a final fine tuning of the deep branch posterior to wide training (D+W+D). Main Results. Results obtained in a local test set formed by a stratified 12.5% split of the given full dataset were presented for 2-lead and 12-lead models. The best training method was the 3-step D + W + D procedure obtaining a challenge metric of 0.709 and 0.677 for 12 and 2-lead models respectively. Significance. Integration of handcrafted features and deep learning model not only may increase the generalization capacity of the network but also provide a path to add explicit information into the classification decision process. To the best of our knowledge this is the first work studying the training procedure to properly integrate both types of information for ECG signals classification.