bluuebunny/crossref_metadata_2025_split huggingface dataset:
ДОСЛІДЖЕННЯ МАЄТКОВОЇ КУЛЬТУРИ УКРАЇНИ У РАДЯНСЬКИЙ ПЕРІОД
Authors: Казьмирчук М. Г. 
Published: October 2021

Метою статті є вивчення радянського періоду дослідження маєтків на українських землях як культурно-історичного феномену, створення детальної періодизації, визначення особливостей, притаманних кожному етапу. Методологія дослідження ґрунтується на загальнонаукових та спеціальних історичних методах. Зокрема, використано такі базові принципи: історизм, об’єктивність, всебічність, а також загальні історичні методи: проблемно-хронологічний, порівняльний, ретроспективний тощо, спеціальні методи історіографічного аналізу та синтезу. Накопичення великого фактичного матеріалу в радянський період сприяло глибшій розробці питань, пов’язаних з тією або іншою стороною маєткового життя. Незважаючи на ідеологічний тиск, дослідження маєткової культури України майже не припинялося, тому вивчення цієї проблеми за радянських часів поділяється на чотири етапи.
Ключові слова: маєток, садиба, маєткова культура України, дослідження, історіографія, радянський період.
MATHEMATICAL PENDULUM MODEL WITH MOBILE SUSPENSION POINT
Authors: Legeza Viktor P. 
Published: October 2021

Background. The new dynamic problem, which is posed and solved in this article, is a theoretical generalization of the well-known classical problem of free oscillations of a mathematical pendulum. In the proposed setting, it is new and relevant, and can be successfully used in such fields of technology as vibration protection, vibration isolation and seismic protection of high-rise flexible structures, long power lines, long-span bridges and other large-sized supporting objects.
Objective. The aim of the work is to derive the equations of own oscillations of a new mathematical pendulum-absorber, to find a formula for determining the frequency of its small own oscillations and to establish those control parameters that allow you to tune the single-mass pendulum absorber to the frequency of the fundamental tone of the carrier object.
Methods. To achieve this goal, we used the methods of analytical mechanics, namely, the Appel’s formalism, as well as the linearization of the obtained differential equations.
Results. A mathematical model is constructed in the work that describes the own oscillations of a new-design mathematical pendulum with a movable (spring-loaded) suspension point with length L. The model is a system of differential equations obtained using the Appel’s formalism. Based on them, after linearization of nonlinear equations, a formula is established for the frequency of small own oscillations of a pendulum with a mobile suspension point.
Conclusions. It is shown that the frequency of own oscillations of the new mathematical pendulum coincides with the frequency of own oscillations of the classical mathematical pendulum with an equivalent suspension length, which is equal to . In the case where the suspension point is fixed (k ® ¥), the frequency formula turns into a well-known formula for the frequency of small own oscillations of a classical mathematical pendulum . If the stiffness coefficient of elastic elements tends to zero (k ® 0), then the frequency w of the damper also tends to zero. An important structural feature of the proposed pendulum is noted, consisting in the fact that due to the appropriate choice of the three control parameters of the pendulum (k, L, m), its frequency in magnitude can be made any in the range from zero to .
Quantifying medical histories with the Kaplan-Meier (KM) estimator for feature extraction of electronic health records in machine learning
Authors: Sufriyana Herdiantri , Wu Yu Wei , Su Emily Chia-Yu 
Published: October 2021

Abstract
This protocol aimed to describe data transformation procedure of medical histories from electronic health records (EHRs) to historical rates by Kaplan-Meier (KM) estimation. The applicability is to extract features from real-world, time-varying data of EHRs, for developing but not limited to a machine learning prediction model. By this extraction technique, machine can learn medical history of a condition in each healthcare provider, as a differential quantity through time in term of affecting a future health state, without a need to access EHRs of other healthcare providers. However, this protocol needs a sufficient amount of longitudinal data from the most subjects in EHRs. The key stages consisted of time interval computation, historical rate derivation, and data transformation into historical rates.
Resampled dimensional reduction for feature representation in machine learning
Authors: Sufriyana Herdiantri , Wu Yu Wei , Su Emily Chia-Yu 
Published: October 2021

Abstract
We aimed to provide a resampling protocol for dimensional reduction resulting a few latent variables. The applicability focuses on but not limited for developing a machine learning prediction model in order to improve the number of sample size in relative to the number of candidate predictors. By this feature representation technique, one can improve generalization by preventing latent variables to overfit data used to conduct the dimensional reduction. However, this technique may warrant more computational capacity and time to conduct the procedure. The key stages consisted of derivation of latent variables from multiple resampling subsets, parameter estimation of latent variables in population, and selection of latent variables transformed by the estimated parameters.
Choriocarcinoma Syndrome of Primary Pulmonary Choriocarcinoma After Lung Lobe Resection: a Case Report and Review of the Literature
Authors: Chen Chen , Zhao Pei , Liu Zhenjun , Lu Song , Ji Juan , Li Xiuli , Zhao Qian 
Published: October 2021

Abstract
Introduction: Primary pulmonary choriocarcinoma (PPC) is extremely rare, especially in males. It is characterized by a poor response to therapy and shortened survival times. Here, we report a PPC case that was complicated by choriocarcinoma syndrome (CS) and present a review of the literature.Case presentation: A 59-year-old man with a 30-pack-year smoking history was referred to our hospital because of haemoptysis and chest pain. Positron emission tomography-computed tomography (PET-CT) showed multiple bilateral pulmonary nodules and multiple metastases throughout the body. The patient underwent single-port thoracoscopic wedge resection of the right lung upper lobe. Histological examinations verified the diagnosis of choriocarcinoma. Three days after the operation, the patient developed massive haemoptysis. A bronchoscopic examination showed bleeding from the bilateral main bronchus. Despite management in the intensive care unit (ICU), the patient died two weeks after surgery.Conclusions: A rapid and correct diagnosis of PPC is necessary. When the patient has massive haemoptysis, we should be alert to the occurrence of CS. Surgery and modified chemotherapy, based on the physical condition of the patient, may currently be the best therapy for PPC.
GhD14 Regulates Plant Architecture and Fiber Development in Cotton
Authors: Zhu Liping , Dou Lingling , Tian Zailong , Zhang Huizhi , Zhang Li , Liu Cuixia , Yu Jianing , Xiao Guanghui 
Published: October 2021

Abstract
Background: Strigolactone (SL) signaling is essential in regulating plant development. DWARF14 (D14), the SL receptor, interacts with the F-box in MORE AXILLARY GROWTH (MAX2) to modulate SL signaling. However, the biological function of D14 protein is still unknown in cotton.Results: Here, we identified GhD14s in Gossypium hirsutum and resolved its function in cotton plant architecture and fiber development. Subcellular location results revealed that the GhD14D protein was localized to both the cytoplasm and nucleus. GUS staining assay showed that GhD14D was mainly expressed in leaf primordium, inflorescence, axillary bud and stem and expression analysis revealed that GhD14A/D was highly expressed in stem, flower and fiber cells at 20 days post-anthesis (DPA). Silencing GhD14A/D gene expression in upland cotton signiﬁcantly increased branch angle. Meanwhile, the ﬁber length and the transcripts of secondary cell wall biosynthesis related genes were also reduced after GhD14A/D gene silencing. In addition, overexpression of GhD14D in Atd14 mutant successfully rescued the phenotype of the d14 mutant with much shoot-branching and short plant height.Conclusions: Our findings suggest that the GhD14 gene contributes to shoot branch development and fiber cell development in cotton. This study deepens our understanding of the biological role of SL signaling in cotton and providing guidance for modifying cotton plant architecture and improving fiber development using genetic engineering to help us breed better cotton varieties in the future.
Local community response to mass asymptomatic COVID-19 testing in Liverpool, England: a social media analysis
Authors: Robin Charlotte , Symons Charles , Carter Holly 
Published: October 2021

Abstract
Background: Mass asymptomatic testing for COVID-19 was piloted for the first time in the UK in Liverpool in November 2020. There is limited evidence on uptake of mass testing and previously where surge testing has been deployed, uptake has been low. Objective: There was an urgent need to rapidly evaluate acceptance of asymptomatic testing, specifically identifying barriers and motivators to taking part. Methods: As part of the wider evaluation, we conducted a rapid thematic analysis of local community narratives on social media to provide insights from people unlikely to engage in testing or other standard evaluation techniques, such as surveys or interviews. Three publicly available data sources were identified; the comments section of a local online newspaper, the city council Facebook page and Twitter. Data were collected between 2 and 8 November 2020, to cover the period between announcement of mass testing in Liverpool and the first week of testing. Overall 1096 comments were sampled; 219 newspaper comments, 472 Facebook comments and 405 Tweets. Data were analysed using an inductive thematic approach. Results: Key barriers were accessibility, including site access and concerns over queuing. Queues were also highlighted as a concern due to risk of transmission. Consequences of testing, including an increase in cases leading to further restrictions and financial impact of the requirement to self-isolation were also identified as barriers. In addition, a lack of trust in authorities and the test (including test accuracy and purpose of testing) was identified. Lack of trust was particularly apparent in those with a strong sense of collective identity with the city of Liverpool, which led to a feeling of marginalisation and feeling like test subjects. However, this sense of identity with Liverpool had a dual role and also acted a motivator to engage in testing and encourage others to do so; for this group being part of a pilot was seen as a positive experience and an opportunity to demonstrate the city could successfully manage the virus. Conclusions: Our analysis highlights the importance of promoting honest and open communication to encourage and harness existing community identities to enhance the legitimacy of asymptomatic testing as a policy. In addition, adequate and accessible financial support needs to be in place prior to the implementation of community asymptomatic testing to mitigate any concerns surrounding financial hardship. Rapid thematic analysis of social media is a pragmatic method to gather insights from communities around acceptability of public health interventions, such as mass testing or vaccination uptake.
DNA methylation in peripheral tissues and Left-handedness
Authors: Odintsova Veronika , Sudermann Matthew , Hagenbeek Fiona , Caramaschi Doretta , Hottenga Jouke-Jan , Pool Rene , BIOS Biobank-based Integrative Omics Study Consortium , Dolan Conor , Ligthart Lannie , Beijsterveldt Catharina van , Willemsen Gonneke , de Geus Eco , Beck Jeffrey , Ehli Erik , Cuellar-Partida Gabriel , Evans David , Medland Sarah , Relton Caroline , Boomsma Dorret , Dongen Jenny van 
Published: October 2021

Abstract
Handedness has low heritability and epigenetic mechanisms have been proposed as an etiological mechanism. To examine this hypothesis, we performed an epigenome-wide association study (EWAS) of left-handedness. In a meta-analysis of 3,914 adults of whole-blood DNA methylation, we observed that CpG sites located in proximity of handedness-associated genetic variants were more strongly associated with left-handedness than other CpG sites (P = 0.04), but did not identify any differentially methylated positions. We identified differentially methylated regions at 20q11.23 (P = 0.00004) and 2p25.1 (P = 0.03), which were less methylated in left-handed adults. In longitudinal analyses of DNA methylation in peripheral blood and buccal cells from children (N = 1,737), we observed moderately stable associations across age (correlation range [0.355–0.578]) but inconsistent across tissues (correlation range [-0.384-0.318]). We conclude that DNA methylation in peripheral tissues captures little of the variance in handedness. Future investigations should consider other more targeted sources of tissue, such as the brain.
Anomaly Detection and Classification of Physiological Signals in IoT- Based Healthcare Framework
Authors: Nawaz Menaa , Ahmed Jameel 
Published: October 2021

Abstract
Physiological signals retrieve information from sensors implanted or attached to the human body. These signals are vital data sources that can assist in predicting the disease well before time; thus, proper treatment can be made possible. With the addition of the Internet of Things in healthcare, real-time data collection and preprocessing for signal analysis has reduced the burden of in-person appointments and decision making on healthcare. Recently, deep learning-based algorithms have been implemented by researchers for the recognition, realization and prediction of diseases by extracting and analyzing important features. In this research, real-time 1-D time series data of on-body noninvasive biomedical sensors were acquired, preprocessed and analysed for anomaly detection. Feature engineered parameters of large and diverse datasets have been used to train the data to make the anomaly detection system more reliable. For comprehensive real-time monitoring, the implemented system uses wavelet time scattering features for classification and a deep learning-based autoencoder for anomaly detection of time series signals to assist the clinical diagnosis of cardiovascular and muscular activity. In this research, an implementation of an IoT-based AI-edge healthcare framework using biomedical sensors was presented. This paper also aims to analyse cloud data acquired through biomedical sensors using signal analysis techniques for anomaly detection, and time series classification has been performed for disease prognosis in real time by implementing 24 AI-based techniques to find the most accurate technique for real-time raw signals. The deep learning-based LSTM method based on wavelet time scattering feature extraction has shown a classification test accuracy of 100%. Using wavelet time scattering feature extraction achieved 95% signal reduction to increase the real-time processing speed. In real-time signal anomaly detection, 98% accuracy is achieved using LSTM autoencoders. The average mean absolute error loss of 0.0072 for normal signals and 0.078 is achieved for anomalous signals.
A randomized double-blind controlled study on the efficacy and safety of Sangdantongluo granule in the treatment of post-stroke spasticity
Authors: xie le , Xie Yao , Mao Guo , Jiang Junlin , Yao Ting , Fang Rui , Yue Zenghui , Li Yingchen , Wu Dahua 
Published: October 2021

Abstract
BackgroundStroke is the first leading cause of mortality and disability worldwide, and post-stroke spasticity (PSS) is the common complication of stroke. Sangdantongluo Granule, a modern patent Traditional Chinese medicine (TCM), is widely used in clinical practice to treat PSS. Whereas, there is limited evidence of effectiveness for Sangdantongluo Granule to treat PSS. This study will evaluate the clinical efficacy and safety of Sangdantongluo granule in the treatment of PSS. MethodsThis multicenter, randomized, double-blind and placebo-controlled study will recruit 132 participants in China who develops PSS 15 days to 90 days after stroke. Participants will be randomly assigned in an equal ratio to receive either Sangdantongluo granule or placebo for 2 months twice a day orally. The primary measure is the Modified Ashworth Scale (MAS), Secondary outcome measures include Compopsite Spasticity Scale (CSS), Simplified Fugl-Meyer Motor Scale (S-FM), National Institute of Health stroke scale (NIHSS), Modified Rankin Scale (mRS), Modified Barther Index (MBI), and Surface electromyography. Adverse events will be supervised throughout the trial. DiscussionThe results of this study will present whether Sangdantongluo granule is clinical effective and safe for managing PSS.Trial registrationClinicalTrials.gov ChiCTR2100044544. Registered on 23 March 2021.
Plasma guiding using a chaperone pre-pulse for stable wakefield generation
Authors: Gupta Devki N. , Yoffe Samuel R. , Jain Arohi , Ersfeld Bernhard , Jaroszynski Dino A. 
Published: October 2021

Abstract
Achieving high quality electron beams in laser wakefield accelerators requires stable guiding of the intense driving laser pulse, which is challenging because of mode mismatching due to relativistic self-focusing. Here we show how an intense pre-pulse can be used to prepare the phase-space distribution of plasma electrons encountered by a trailing laser pulse so that it produces its own well-matched guiding channel, while minimising wakefield evolution. Controlling the propagation of high intensity laser pulses is an essential step in developing useful wakefield accelerators and compact radiation sources.
Whole exome sequencing identified a homozygous novel mutation in SUOX gene causes extremely rare autosomal recessive isolated sulfite oxidase deficiency and literature review
Authors: Zhang Rui , Hao Yajing , Xu Ying , Qin Jiale , Wang Yanfang , Dey Subrata Kumar , Li Chen , Wang Huilin , Banerjee Santasree 
Published: October 2021

Abstract
Background: Isolated sulfite oxidase deficiency (ISOD) is the rarest types of life-threatening neurometabolic disorders characterized by neonatal intractable seizures and severe developmental delay with an autosomal recessive mode of inheritance. ISOD is extremely rare and till date only 32 mutations have been identified and reported worldwide. Germline mutation in SUOX gene causes ISOD. Methods: Here, we investigated a 5-days old Chinese female child, presented with intermittent tremor or seizures of limbs, neonatal encephalopathy, subarachnoid cyst and haemorrhage, dysplasia of corpus callosum, neonatal convulsion, respiratory failure, cardiac failure, hyperlactatemia, severe metabolic acidosis, hyperglycemia, hyperkalemia, moderate anemia, atrioventricular block and complete right bundle branch block. Results: Whole exome sequencing identified a novel homozygous transition (c.1227G>A) in exon 6 of the SUOX gene in the proband. This novel homozygous variant leads to the formation of a truncated sulfite oxidase (p.Trp409*) of 408 amino acids. Hence, it is a loss-of-function variant. Proband’s father and mother is carrying this novel variant in a heterozygous state. This variant was not identified in 200 ethnically matched normal healthy control individuals. Conclusions: Our study not only expand the mutational spectrum of SUOX gene associated ISOD, but also strongly suggested the application of whole exome sequencing for identifying candidate genes and novel disease-causing mutations.
Preclinical Immunological Evaluation of an Intradermally Administered Heterologous Vaccine Against SARS-CoV-2 Variants
Authors: Li Qihan , Fan Shengtao , Xiao Kang , Li Dandan , Zhao Heng , Zhang Jingjing , Yu Li , Chang Penglan , Zhu Shuangli , Xu Xingli , Liao Yun , Ji Tianjiao , Jiang Guorun , Yan Dongmei , Zeng Fengyuan , Duan Suqin , Xia Baicheng , Wang Lichun , Yang Fengmei , He Zhanlong , Song Yang , Cui Pingfang , Li Xiaolei , Zhang Yaxing , Zheng Bangyi , Zhang Ying , Xu Wen-Bo 
Published: October 2021

Abstract
The recent emergence of new variants in the COVID-19 pandemic has led to new requirements for vaccines, with a focus on the capacity of vaccines to elicit high levels of neutralizing antibodies with specific recognition of S antigen variants based on the characterized vaccines licensed for use. A new strategy involving a heterologous vaccine composed of one or two doses of inactivated vaccine and a boost with the S1 protein with mutations (K-S) administered via the intradermal route was designed in this work and was found to improve immune efficacy by increasing neutralizing antibody titers and promoting specific T cell responses against 5 variants of the RBD peptide. A viral challenge test with the B.1.617.2 (Delta) variant confirmed that the both schedules of “1+1” and “2+1” administration ensured a clinical protective effect against this strain. All of these results not only suggested the feasibility of our strategy for protecting against new variants but also provided a technical pathway to enhance the anamnestic immune response in the immunized population.
Using The Puzzle Teaching Method To Teach Home Nursing Care Concepts: An Evaluation Study
Authors: Tayebi Zahra , harikandeie Seyede Soghra Taher , Aghabarari Maryam 
Published: October 2021

Abstract
Background: One of the participatory learning approaches is the puzzle teaching method. Depending on the nature of the subject and the type of learners, this strategy can produce a variety of outcomes. The purpose of this study was to see how well the puzzle teaching style worked in the undergraduate nursing program's home nursing care course.Methods: This is a three-year evaluation study utilizing a qualitative methodology that took place between 2016 and 2019. The teaching technique was employed for a number of sessions of a home nursing care course during the first phase, and an evaluation was conducted at the end of the course using purposive sampling and focus group interviews with 11 students. The results of the first phase's evaluation led to changes in the procedure in the second phase, and at the end of that course, the evaluation was repeated with the 13 students. Further modifications to the teaching style were made, and a re-evaluation with ten students was conducted. MAXQDA10 software was used to conduct traditional content analysis on the data. Results The benefits of the puzzle method were confirmed by participants, but the findings of the first two phases of evaluation revealed obstacles such as "ineffective involvement," "inadequate teacher supervision," "offering unnecessary content," and "lack of final summarization" by the faculty member, "ineffective involvement", "crowded classroom", "the need for evaluation “and "piece learning" . Except for "ineffective involvement," the third phase's evaluation findings suggested that all flaws and obstacles had been addressed. Conclusion: The majority of the obstacles to implementing the puzzle teaching approach can be overcome by changing a few stages and procedures. However, ineffective involvement remains a significant roadblock. To overcome this stumbling block, more research is required.