bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of estimated late toxicities between IMPT and IMRT based on multivariable NTCP models for high-risk prostate cancers treated with pelvic nodal radiation
Authors: Chilukuri Srinivas , Sundar Sham , Patro Kartikeswar , Sawant Mayur , Sivaraman Rangasamy , Arjunan Manikandan , Panda Pankaj Kumar , Sharma Dayananda S , Jalali Rakesh 
Published: March 2022

Abstract
PurposeTo compare the late gastrointestinal (GI) and genitourinary toxicities (GU) estimated using multivariable NTCP models, between pencil beam scanning proton bream therapy (PBT) and helical tomotherapy (HT) in patients of high-risk prostate cancers requiring pelvic nodal irradiation (PNI) using moderately hypo-fractionated regimen.Materials and MethodsTwelve consecutive patients treated with PBT at our centre were replanned with HT using the same planning goals. Six late GI and GU toxicity domains (stool frequency, rectal bleeding, fecal incontinence, dysuria, urinary incontinence and hematuria) were estimated based on the published multivariable NTCP models. ΔNTCP (difference in absolute NTCP between HT and PBT plans) for each of the toxicity domains was calculated. One-Sample Kolmogorov-Smirnov test was used to analyze distribution of data and either a Paired T-test or a Wilcoxon matched-pair signed rank test was used to test statistical significance. ResultsPBT and HT plans achieved adequate target coverage. PBT plans led to significantly better sparing of bladder, rectum and bowel bag especially in the intermediate range of 15-40Gy; whereas doses to penile bulb and femoral heads were higher with PBT plans. The average ΔNTCP for grade(G)2-rectal bleeding, fecal incontinence, stool frequency, dysuria, urinary incontinence and G1-hematuria were 12.17%, 1.67%, 2%, 5.83%, 2.42% and 3.91% respectively favoring PBT plans. The average cumulative ΔNTCP for GI and GU toxicities (ΣΔNTCP) was 16.58% and 11.41% respectively favoring PBT. Using a model-based selection threshold of any G2 ΔNTCP >10%, 67% (8 patients) would be eligible for PBT.ConclusionPBT plans led to superior OAR sparing compared to HT which translated to lower NTCP for late moderate GI and GU toxicities in patients of prostate cancer treated with PNI. For two-thirds of our patients, the difference in estimated absolute NTCP values between PBT and HT, crossed the accepted threshold for minimal clinically important difference.
Big Data for Specific Emotion Detection Model: Any Position and Representative Emotion Hashtag Approach
Authors: Sanghyub John Lee , Lim JongYoon , Paas Leo , Ahn Ho Seok 
Published: March 2022

Abstract
Background/ introduction: We propose the large emotion-labelled dataset consisted of tweets labelling representative emotions hashtags posted over 12 years to train a specific emotion detection model. The dataset is available at https://github.com/ EmotionDetection/6H-AP_emotion_labelled_tweets. Prediction of human emotion has been and remains a major challenge in many research fields such as psychology, neuroscience, and computer science. Tweets are considered as a suitable source for collecting big data using emotion hashtags as reliable emotion annotations. However, little is known about data collection criteria on how to apply emotion hashtags (i.e., type and position of emotion hashtags). Methods: To elucidate unclear criteria, this paper collected over five million tweets that were divided into six datasets. Five traditional ML algorithms trained on six different datasets were evaluated on both internal test sets (30 analyses) of six datasets and external test set (30 analyses). Results: We propose the emotion labelled dataset ( n =1,478,116; any position of representative emotions hashtags) that achieved the highest F1 score. Furthermore, this paper compared the model trained on the proposed dataset with the model trained on a small dataset. We find that this large dataset further improved the model performance in deep learning (18 analyses) than in traditional ML algorithms (30 analyses). Conclusions: Finally, we share the proposed dataset with other researchers to contribute to future specific emotion detection model studies, provide reliable baseline results for this data set.
Development of empirical mode decomposition based neural network for power quality disturbances classification
Authors: Rofii Faqih , Naba Agus , Dharmawan Hari Arief , Hunaini Fachrudin 
Published: March 2022

The complexity of the electric power network causes a lot of distortion, such as a decrease in power quality (PQ) in the form of voltage variations, harmonics, and frequency fluctuations. Monitoring the distortion source is important to ensure the availability of clean and quality electric power. Therefore, this study aims to classify power quality using a neural network with empirical mode decomposition-based feature extraction. The proposed method consists of 2 main steps, namely feature extraction, and classification. Empirical Mode Decomposition (EMD) was also applied to categorize the PQ disturbances into several intrinsic mode functions (IMF) components, which were extracted using statistical parameters and the Hilbert transformation. The statistical parameters consist of mean, root mean squared, range, standard deviation, kurtosis, crest factor, energy, and skewness, while the Hilbert transformation consists of instantaneous frequency and amplitude. The feature extraction results from both parameters were combined into a set of PQ disturbances and classified using Multi-Layer Feedforward Neural Networks (MLFNN). Training and testing were carried out on 3 feature datasets, namely statistical parameters, Hilbert transforms, and a combination of both as inputs from 3 different MLFNN architectures. The best results were obtained from the combined feature input on the network architecture with 2 layers of ten neurons, by 98.4 %, 97.75, and 97.4 % for precision, recall, and overall accuracy, respectively. The implemented method is used to classify PQ signals reliably for pure sinusoids, harmonics with sag and swell, as well as flicker with 100 % precision
Developing an algorithm for monitoring gas generators of hydrogen storage and supply systems
Authors: Abramov Yuriy , Basmanov Oleksii , Krivtsova Valentina , Mikhayluk Andrey , Mikhayluk Oleksandra 
Published: March 2022

In relation to the main element of the hydrogen storage and supply system based on the hydro-reacting composition – the gas generator – an algorithm for its control has been developed. The development of such an algorithm is carried out in three stages. At the first stage, the problem of formalizing the hydrogen generation process is solved. Formalization of this process is carried out using the transfer function of the gas generator. The use of the criterion for the minimum error of the mismatch of the given amplitude-frequency characteristics of the gas generator allows to represent its transfer function in the form of a transfer function of the inertial link. At the second stage, the problem of determining the conditions for the occurrence of self-oscillations in the pressure stabilization subsystem is solved. A prerequisite for the emergence of a self-oscillating mode of operation of the hydrogen storage and supply system is the presence of a relay static characteristic of the pressure sensor. For the characteristic parameters of such a system, the ranges of values of the parameters of self-oscillations, frequencies and amplitudes, are determined. For these parameters, analytical expressions are obtained, which include the main parameters of the pressure stabilization subsystem in the hydrogen storage and supply system.
At the third stage, the problem of forming a gas generator control algorithm is solved. As a test action in the implementation of the control algorithm, self-oscillations in the pressure stabilization subsystem are used. The control algorithm for the gas generator of the hydrogen storage and supply system includes determining the parameters of self-oscillations and comparing their values with the values obtained a priori.
A typical diagram of a hydrogen storage and supply system is presented, in which the developed gas generator control algorithm is implemented
Enhancement efficiency of Michell-Banki turbine using NACA 6512 modified blade profile via CFD
Authors: Galvis-Holguin Steven , Rio Jorge Sierra-Del , Hincapié-Zuluaga D. 
Published: March 2022

The small hydroelectric power plants (SHPP) are implemented in non-interconnected zones (NIZ) of developing countries. In which, the provision of electrical energy from the national interconnected system is not economically feasible. Therefore, in the literature, hydroelectric generation technologies have been implemented taking advantage of the energy available in the rivers. One of these technologies is the Michell-Banki type cross-flow turbines (MBT), which, despite having lower efficiencies than turbines such as Pelton and Francis, maintain their efficiency although fluctuations in site conditions. For this reason, different studies have been made to increase the efficiency of the MBT by making geometric modifications to both the nozzle and the rotor.
The purpose of this study is to determine numerically the effect of the geometry of the blades that form the runner on the efficiency of Michell-Banki Turbine (MBT). For this, two (2) geometries were studied corresponding to a circular sector of a standard tubular profile and an airfoil NACA 6512 modified in curvature profile and chord length, according to the profile of the standard tubular blade. For this study, transient simulations for multiphase water-air flow were implemented using a k-ε turbulence model in the Ansys 2020R1® CFX software. The two (2) turbine models were configured to the same hydraulic conditions of head and volumetric flow corresponding to 0.5 m and 16.27 L/s, respectively. Variations in rotational speed were configured between 100 and 200 RPM with 20 RPM steps. It was found that using the modified 6512 hydrodynamic profile, at 140 RPM increased efficiency by 6 %, compared to the conventional tubular type blade geometry
Gravitational wave induced baryon acoustic oscillations
Authors: Döring Christian , Centelles Chuliá Salvador , Lindner Manfred , Schaefer Bjoern Malte , Bartelmann Matthias 
Published: March 2022

We study the impact of gravitational waves originating from a first
order phase transition on structure formation. To do so, we perform a
second order perturbation analysis in the 1+31+3
covariant framework and derive a wave equation in which second order,
adiabatic density perturbations of the photon-baryon fluid are sourced
by the gravitational wave energy density during radiation domination and
on sub-horizon scales. The scale on which such waves affect the energy
density perturbation spectrum is found to be proportional to the horizon
size at the time of the phase transition times its inverse duration.
Consequently, structure of the size of galaxies and bigger can only be
affected in this way by relatively late phase transitions at
\ge 10^{6}\,\text{s}≥106s.
Using cosmic variance as a bound we derive limits on the strength
\alphaα
and the relative duration (\beta/H_*)^{-1}(β/H*)−1
of phase transitions as functions of the time of their occurrence which
results in a new exclusion region for the energy density in
gravitational waves today. We find that the cosmic variance bound
forbids only relative long lasting phase transitions,
e.g. \beta/H_*\lesssim 6.8β/H*≲6.8
for t_*\approx 5\times10^{11}\,\text{s}t*≈5×1011s,
which exhibit a substantial amount of supercooling
\alpha>20α>20
to affect the matter power spectrum.
Experimental investigation of automotive component in hybrid fibre reinforced thermoplastic design
Authors: Maier Andreas , Kroll Lothar 
Published: March 2022

A tailored use of continuous fibre reinforced plastics enables application in high volume car body structures. The combination of pultruded, load carrying, unidirectional, continuous fibre reinforced thermoplastic (FRTP) profiles and injection moulds, named “skeleton design”, is a promising approach to meet structural requirements and economical needs. This design offers the advantages of FRTP such as short cycle times of approx. 75 s and functional integration via injection moulding. A pre-serial BMW iX geometry of a windshield panel is used to analyse the impact of different fibre configurations in the profiles on the mechanical properties of the part. Therefore, different pultruded profiles with a cross-section of 10 mm x 10 mm made of polyamide 6 (PA6) with carbon fibres (CF) and glass fibres (GF) as well as a CF/GF hybrid were used. Furthermore, an optimized part using different materials within one part was investigated. Therefore, quasi-static and dynamic compression tests were performed on part level. It could be shown that the optimized parts meet mechanical requirements while decreasing material costs significantly.
The Role of Influential Actors in Fostering the Polarized COVID-19 Vaccine Discourse on Twitter: Mixed Methods of Machine Learning and Inductive Coding
Authors: Hagen Loni , Fox Ashley , O'Leary Heather , Dyson DeAndre , Walker Kimberly , Lengacher Cecile A , Hernandez Raquel 
Published: March 2022

BackgroundSince COVID-19 vaccines became broadly available to the adult population, sharp divergences in uptake have emerged along partisan lines. Researchers have indicated a polarized social media presence contributing to the spread of mis- or disinformation as being responsible for these growing partisan gaps in uptake.ObjectiveThe major aim of this study was to investigate the role of influential actors in the context of the community structures and discourse related to COVID-19 vaccine conversations on Twitter that emerged prior to the vaccine rollout to the general population and discuss implications for vaccine promotion and policy.MethodsWe collected tweets on COVID-19 between July 1, 2020, and July 31, 2020, a time when attitudes toward the vaccines were forming but before the vaccines were widely available to the public. Using network analysis, we identified different naturally emerging Twitter communities based on their internal information sharing. A PageRank algorithm was used to quantitively measure the level of “influentialness” of Twitter accounts and identifying the “influencers,” followed by coding them into different actor categories. Inductive coding was conducted to describe discourses shared in each of the 7 communities.ResultsTwitter vaccine conversations were highly polarized, with different actors occupying separate “clusters.” The antivaccine cluster was the most densely connected group. Among the 100 most influential actors, medical experts were outnumbered both by partisan actors and by activist vaccine skeptics or conspiracy theorists. Scientists and medical actors were largely absent from the conservative network, and antivaccine sentiment was especially salient among actors on the political right. Conversations related to COVID-19 vaccines were highly polarized along partisan lines, with “trust” in vaccines being manipulated to the political advantage of partisan actors.ConclusionsThese findings are informative for designing improved vaccine information communication strategies to be delivered on social media especially by incorporating influential actors. Although polarization and echo chamber effect are not new in political conversations in social media, it was concerning to observe these in health conversations on COVID-19 vaccines during the vaccine development process.
Implementation Outcomes Assessment of a Digital Clinical Support Tool for Intrapartum Care in Rural Kenya: Observational Analysis
Authors: Dinh Nhi , Agarwal Smisha , Avery Lisa , Ponnappan Priya , Chelangat Judith , Amendola Paul , Labrique Alain , Bartlett Linda 
Published: March 2022

Background
iDeliver, a digital clinical support system for maternal and neonatal care, was developed to support quality of care improvements in Kenya.

Objective
Taking an implementation research approach, we evaluated the adoption and fidelity of iDeliver over time and assessed the feasibility of its use to provide routine Ministry of Health (MOH) reports.

Methods
We analyzed routinely collected data from iDeliver, which was implemented at the Transmara West Sub-County Hospital from December 2018 to September 2020. To evaluate its adoption, we assessed the proportion of actual facility deliveries that was recorded in iDeliver over time. We evaluated the fidelity of iDeliver use by studying the completeness of data entry by care providers during each stage of the labor and delivery workflow and whether the use reflected iDeliver’s envisioned function. We also examined the data completeness of the maternal and neonatal indicators prioritized by the Kenya MOH.

Results
A total of 1164 deliveries were registered in iDeliver, capturing 45.31% (1164/2569) of the facility’s deliveries over 22 months. This uptake of registration improved significantly over time by 6.7% (SE 2.1) on average in each quarter-year (P=.005), from 9.6% (15/157) in the fourth quarter of 2018 to 64% (235/367) in the third quarter of 2020. Across iDeliver’s workflow, the overall completion rate of all variables improved significantly by 2.9% (SE 0.4) on average in each quarter-year (P<.001), from 22.25% (257/1155) in the fourth quarter of 2018 to 49.21% (8905/18,095) in the third quarter of 2020. Data completion was highest for the discharge-labor summary stage (16,796/23,280, 72.15%) and lowest for the labor signs stage (848/5820, 14.57%). The completion rate of the key MOH indicators also improved significantly by 4.6% (SE 0.5) on average in each quarter-year (P<.001), from 27.1% (69/255) in the fourth quarter of 2018 to 83.75% (3346/3995) in the third quarter of 2020.

Conclusions
iDeliver’s adoption and data completeness improved significantly over time. The assessment of iDeliver’ use fidelity suggested that some features were more easily used because providers had time to enter data; however, there was low use during active childbirth, which is when providers are necessarily engaged with the woman and newborn. These insights on the adoption and fidelity of iDeliver use prompted the team to adapt the application to reflect the users’ culture of use and further improve the implementation of iDeliver.
Umbilical cord blood transplantation for MYH9-related disorders: a case report and systematic review of the literature
Authors: li jian , wang Jun , Fang Yongjun , Rong Liucheng 
Published: March 2022

MYH9-related disorders (MYH9-RD) are the leading cause of inherited
thrombocytopenia（IPD）. This autosomal-dominant macrothrombocytopenia
syndrome consisted of the May-Hegglin anomaly, Fechtner syndrome,
Sebastian syndrome, and Epstein syndromes. To date， hematopoietic stem
cell transplantation (HSCT) is the only curative therapy for congenital
thrombocytopenias, such as Wiskott-Aldrich syndrome(WAS) and Glanzmann
thrombasthenia (GT). However, no relevant literature reported on the
outcome of MYH9-related disorders. We first described a pediatric
MYH9-RD patient who underwent a successful myeloablative allogeneic HSCT
with umbilical cord blood stem cells resulting in complete resolution.
Now one year passed after HSCT. The patient’s condition remained stable
during the follow-up. This case highlights the implications of curative
therapy of HSCT in MYH9-RD patients.
THORACOSCOPIC ABLATION IN SITUS INVERSUS DEXTROCARDIA WITH INTERRUPTED INFERIOR VENA CAVA CONTINUATION IN AZYGOS VEIN
Authors: Rosati Fabrizio , F Rattenni , L Di Bacco , D'Alonzo Michele , Curnis Antonio , Muneretto Claudio , S. Benussi 
Published: March 2022

INTRODUCTION Situs inversus totalis, dextrocardia with interrupted
inferior vena cava and azygos vein continuation concomitant with
symptomatic atrial fibrillation requiring ablation. This case was deemed
not suitable for percutaneous ablation due to anatomic variations and
the lack of case reports in literature. METHODS AND RESULTS We performed
bilateral thoracoscopic epicardial ablation and epicardial left atrial
appendage exclusion. The direct vision allowed for a complete box lesion
set with bipolar radiofrequency device. Patient remained in sinus rhythm
at 12-months follow-up. CONCLUSION Surgical thoracoscopic epicardial
ablation is safe and effective also in congenital defects.
Multidisciplinary expertise can offer minimally invasive ablation
treatments.
Longitudinal Study of Metacognitive Skills and External Representation of Students in the Context of Problem-Solving
Authors: Ijirana Ijirana , Mansyur Jusman , Rizal Muh. , Aminah Sitti 
Published: March 2022

This study aims to longitudinally describe the metacognitive skills and external representation in the context of problem-solving at Chemistry Education, Tadulako University. The qualitative study respondents were selected from a number of first year students for two consecutive semesters. Two respondents were selected based on results of selection using a metacognitive skills assessment questionnaire (MCAI) and we categorized as high and medium. Three problems were resolved by respondents at intervals of one to two weeks in each semester through a one-on-one thinking aloud and it was followed by a semi-structured interview. Data collection was recorded using a video camera. Metacognitive skills and external representation data from the odd and even semesters were deeply analyzed. This analysis technique was carried out by examining the results of problem solving and semi-structured interviews in detail and matching them with the indicators of metacogni-tive skills and external representation used by both respondents. The data analysis results showed that the thinking ability of respondents with high metacognitive skills in problem solving, experienced developments over time along with the development of their cognitive regulation and external representation. On the other hand, respondents with intermediate metacognitive skills during problem solving, were relatively the same for two consecutive semesters. Therefore, teachers need to consider the use of learning strategies by taking into account the number of students who have dominant characteristics in classroom learning, in terms of metacog-nitive skills and external representation.
Interactive Android Module Development Containing Three Chemical Representation Levels on Material of Salt Hydrolysis
Authors: Zamhari Muhammad , Ridzaniyanto Pandu , Kangkamano Tawatchai 
Published: March 2022

Three chemical representation is an important aspect of chemistry learning. However, the database study shows that interactive chemistry learning media containing three levels of representation is not available. This research aims to develop and assess the feasibility of an interactive Android-based learning module for senior high school students containing three chemical representation levels on the material of salt hydrolys-is. The study was conducted using research and development (RD) method. Stages of research were con-ducted as follows, analysis, development process, product validation and assessment. The Android module was subsequently validated by media and concept experts and then limitedly assessed by five chemistry teachers and ten senior high school students. The instrument used was validated by an instrument expert. The validation results by media and concept experts indicated that the media was valid in terms of media performance and salt hydrolysis material. Based on teachers' and students' assessments, the media received a score of 87.5% and 83.0%, with very good category. It can be concluded that the interactive Android-based learning module containing three chemical representations on the material of salt hydrolysis was successful-ly developed and can be tested extensively in senior high school. The developed media closed a significant gap in the need of interactive chemistry learning media containing three levels of chemical representation, especially in the material of salt hydrolisis