bluuebunny/crossref_metadata_2025_split huggingface dataset:
Contiguous Lumbar Vertebral Involvement with Vertebral Collapse in Giant Cell Tumor: A Usual Tumor with an Unusual Presentation
Authors: Soni Ankita , Dhanota Devinderpal Singh , Tyagi Ruchita , Chaudhary Ashwani Kumar , Kaur Harpreet , Sood Neena 
Published: July 2022

AbstractGiant cell tumor (GCT) is a primary bone tumor of long bones, which can rarely involve the vertebrae. Contiguous vertebral involvement by GCT is a rare presentation and poses a diagnostic dilemma on imaging. We report a case of GCT involving three contiguous lumbar vertebrae causing vertebral collapse along with a large soft tissue component. Considering the site and clinical presentation, possibilities of a round cell tumor with large extraosseous soft tissue component and malignant neurogenic tumor were suggested on initial radiological examination but histopathology confirmed the diagnosis of GCT. It is important to diagnose this entity correctly because of totally different lines of management. In our case, initial surgical management was excluded in view of high surgical morbidity and, thereby, adjuvant therapy with denosumab was planned.
Vancomycin-Induced Maturation Arrest with Reactive Promyelocyte Proliferation: A Diagnostic and Therapeutic Challenge
Authors: Jamal Iffat , Shuchismita Shuchismita , Choudhary Vijayanand 
Published: July 2022

AbstractDrug-induced leukopenia is a diagnostic and therapeutic challenge. A detailed clinical history is a must to come to a right diagnosis. Certain drugs are known to cause bone marrow suppression, leukopenia, myeloid maturation arrest, and reactive promyelocyte proliferation. Here, we report an unusual case of vancomycin-induced maturation arrest with marked promyelocyte proliferation in a 47-year-old male patient who was being treated for novel coronavirus disease 2019 (COVID-19) infection. Most times, this reactive promyelocyte proliferation is confused with neoplastic promyelocytes, leading to incorrect diagnosis and management.
Southern brown bandicoots,
Authors: Bruce Matthew J. , Bryant David B. , Kohout Michele , Macak Phoebe V. , Batpurev Khorloo , Sinclair Steve J. 
Published: July 2022

Context Many threatened species persist in modified landscapes. Species in these landscapes often inhabit vegetation strips adjacent to linear structures such as roads, railways and artificial waterways. These vegetation strips may act as refugia or provide resources, but the associated structures (e.g. roads) may also act as barriers to movement. The southern brown bandicoot (eastern subspecies) is listed as Endangered in Australia and is known to inhabit modified landscapes. Aim We aim to determine the extent of occupancy of southern brown bandicoots and the relative importance of different habitat types. Our data are intended to provide a baseline for future monitoring of changes to bandicoot populations, and to further our understanding of the relative importance of different habitat types for management and conservation. Methods We conducted a remote-camera survey of southern brown bandicoots, at 98 locations across a 60 000 ha region south-east of Melbourne. Bandicoots in this area inhabit patches of remnant habitat in reserves and remnant, modified or non-native vegetation strips along roadsides and artificial waterways created in the 19th century to drain swampland. These habitat fragments sit within a matrix of agricultural, residential and commercial land. Key results Our results suggest that bandicoot occupancy is higher along artificial waterways (0.76) than along roadsides (0.35) or within reserves (0.39). Implications Habitat along waterways is often different from remnants, with a mix of weedy and native vegetation. The implication of this is a potential conflict between habitat and vegetation management for bandicoots, weed control and maintenance of drains and associated levees.
A missense mutation in
Kcnc3
causes hippocampal learning deficits in mice
Authors: Xu Pin , Shimomura Kazuhiro , Lee Changhoon , Gao Xiaofei , Simpson Eleanor H. , Huang Guocun , Joseph Chryshanthi M. , Kumar Vivek , Ge Woo-Ping , Pawlowski Karen S. , Frye Mitchell D. , Kourrich Saïd , Kandel Eric R. , Takahashi Joseph S. 
Published: July 2022

Although a wide variety of genetic tools has been developed to study learning and memory, the molecular basis of memory encoding remains incompletely understood. Here, we undertook an unbiased approach to identify novel genes critical for memory encoding. From a large-scale, in vivo mutagenesis screen using contextual fear conditioning, we isolated in mice a mutant, named
Clueless
, with spatial learning deficits. A causative missense mutation (G434V) was found in the voltage-gated potassium channel, subfamily C member 3 (
Kcnc3)
gene in a region that encodes a transmembrane voltage sensor. Generation of a Kcnc3
G434V
CRISPR mutant mouse confirmed this mutation as the cause of the learning defects. While G434V had no effect on transcription, translation, or trafficking of the channel, electrophysiological analysis of the G434V mutant channel revealed a complete loss of voltage-gated conductance, a broadening of the action potential, and decreased neuronal firing. Together, our findings have revealed a role for
Kcnc3
in learning and memory.
Applying systemic functional linguistics in translation studies
Authors: Chen Shukun , Xuan Winfred Wenhui , Yu Hailing 
Published: July 2022

AbstractThis paper takes a meta-analysis and synthesis approach to emphasize systemic functional linguistics’ contribution to translation studies. A coding book was designed to analyze 123 studies collected through email inquiry, database search, and manual examination. The paper reports on the substantive features and methodological features of the studies. Content analysis was presented on four major research themes: general translation, genre translation, interpreting, and translation training. After discussing the synthesis results, the paper is concluded with implications for future research.
Reliable InAs quantum dot lasers grown on patterned Si (001) substrate with embedded hollow structures assisted thermal stress relaxation
Authors: Wei Wenqi , Huang Jingzhi , Ji Zitao , Han Dong , Yang Bo , Chen Jiajian , Qin Jiale , Cui Yiou , Wang Zihao , Wang Ting , Zhang Jianjun 
Published: July 2022

Abstract
Direct epitaxial growth of III–V quantum dot (QD) lasers on Si (001) substrates is recognized as a promising and low-cost method for realizing high-performance on-chip light sources in silicon photonic integrated circuits (PICs). Recently, the CMOS-compatible patterned Si (001) substrates with sawtooth structures have been widely implemented to suppress the lattice mismatch induced defects and antiphase boundaries for heteroepitaxial growth of high-quality III–V materials on Si. Considerable progresses have been made on high-performance 1300 nm InAs/GaAs QD lasers on Si (001). Here, we report a thermal stress-relaxed (111)-faceted silicon hollow structures by homoepitaxial method for reliable InAs/GaAs QD lasers growing on Si (001) substrates. Both simulation analysis and experimental results indicate that the voids buried below the sawtooth structures can release about 9% of the accumulative thermal stress of the III–V/Si system during the cooling process. Furthermore, electrically pumped InAs/GaAs QD narrow ridge lasers are grown and fabricated on the specially designed Si (001) platforms with a maximum operation temperature up to 90 °C under continuous-wave operation mode. Additionally, an extrapolated lifetime of over 5300 h is calculated from the reliability test at 65 °C. These results lead toward high-yield, scalable, and reliable III–V lasers on Si (001) substrates for PICs.
Enhanced performance of p-type SnO
x
thin film transistors through defect compensation
Authors: Zhang Wei , Hong Ruohao , Qin Wenjing , Lv Yawei , Ma Jianmin , Liao Lei , Li Kenli , Jiang Changzhong 
Published: July 2022

Abstract
Due to the unique outermost orbitals of Sn, hole carriers in tin monoxide (SnO) possess small effective mass and high mobility among oxide semiconductors, making it a promising p-channel material for thin film field-effect transistors (TFTs). However, the Sn vacancy induced field-effect mobility deterioration and threshold voltage (V
th) shift in experiments greatly limit its application in complementary metal-oxide-semiconductor (CMOS) transistors. In this study, the internal mechanism of vacancy defect compensation by aluminum (Al) doping in SnO
x
film is studied combining experiments with the density functional theory (DFT). The doping is achieved by an argon (Ar) plasma treatment of Al2O3 deposited onto the SnO
x
film, in which the Al2O3 provides both the surface passivation and Al doping source. Experimental results show a wide V
th modulation range (6.08 to −19.77 V) and notable mobility enhancement (11.56 cm2V−1s−1) in the SnO
x
TFTs after the Al doping by Ar plasma. DFT results reveal that the most possible positions of Al in SnO and SnO2 segments are the compensation to Sn vacancy and interstitial. The compensation will create an n-type doping effect and improve the hole carrier transport by reducing the hole effective mass (m
h*), which is responsible for the device performance variation, while the interstitial in the SnO2 segment can hardly affect the valence transport of the film. The defect compensation is suitable for the electronic property modulation of SnO towards the high-performance CMOS application.
Non-intrusive ultrasonic measurement of tie-bar stress for molding equipment
Authors: Zhuo Chaojie , Ji Kaipeng , Xie Jun , Cheng Xuewen , Jiao Xiaolong , Ye Sheng , Fu Jianzhong , Zhao Peng 
Published: July 2022

Abstract
For molding equipment, the accurate measurement of tie-bar stress helps improve product quality and prolong the lifespan of the machine. In our previous work, the mathematical model between the ultrasonic time difference (UTD) and the tie-bar stress was established, and this model was shown to have high accuracy with the maximum of difference square being only 1.5678 (MPa)2. Nevertheless, when calculating the UTD using the cross-correlation function (CCF) method, it is necessary to manually divide the position of the echoes. This makes it impossible to automate the stress measurement and it is ineffective when dealing with massive data. In this paper, a non-intrusive ultrasonic measurement method for tie-bar stress based on the minimum entropy blind deconvolution is firstly proposed. The results of simulation and verification experiments show that the proposed method has high precision, and the maximum relative error is only 2.44%. Hence this method has been successfully applied in the tie-bar stress measurement in molding equipment. Compared with the CCF method, accuracy is improved and the maximum relative error is reduced from 3.67% to 1.68% when the clamping force is small. In summary, the proposed method is comparable to the CCF method in terms of accuracy, and has a higher resolution during echos disturbance. Moreover, this approach does not require human intervention and is helpful to realize the automation of the tie-bar stress measurement for the molding equipment.
Simulations of energetic particle driven instabilities in CFQS
Authors: Wang Hao , Todo Yasushi , Huang Jie , Suzuki Yasuhiro , Shimizu Akihiro , Ogawa Kunihiro , Wang Xianqu , Adulsiriswad Panith 
Published: July 2022

Abstract
A nonlinear simulation of the energetic particle driven instabilities in the Chinese First Quasi-axisymmetric Stellarator (CFQS) has been conducted for the first time. MEGA, a hybrid simulation code for energetic particles interacting with a magneto-hydrodynamic fluid, was used in the present work. Both the m/n = 3/1 energetic-particle-mode (EPM) like mode and the m/n = 5/2 toroidal Alfvén eigenmode (TAE) were found, where m is the poloidal mode number and n is the toroidal mode number. Four important results were obtained as follows. First, the instability in the CFQS in three-dimensional form was shown for the first time. Second, strong toroidal mode coupling was found for the spatial profiles, and it is consistent with the theoretical prediction. Third, the resonant condition caused by the absence of axial symmetry in CFQS was demonstrated for the first time. The general resonant condition is f
mode = Nf

ϕ
− Lf

θ
, where f
mode, f

ϕ
, and f

θ
are mode frequency, particle toroidal transit frequency, and particle poloidal transit frequency, respectively; N and L are arbitrary integers, represent toroidal and poloidal resonance numbers. For EPM-like mode, the dominant and subdominant resonant conditions are f
mode = 3f

ϕ
− 7f

θ
and f
mode = f

ϕ
− f

θ
, respectively. For TAE, the dominant and subdominant resonant conditions are f
mode = 4f

ϕ
− 9f

θ
and f
mode = 2f

ϕ
− 3f

θ
, respectively. On the one hand, the toroidal resonance numbers are different from the toroidal mode numbers by 2. This indicates that the two-fold rotational symmetry affects the resonance condition. On the other hand, the subdominant resonances satisfy N = n, which is expected for the axisymmetric plasmas and most of the toroidal plasmas including stellarators. Fourth, the nonlinear frequency chirpings in CFQS were demonstrated for the first time. Hole and clump structures were formed in the pitch angle and energy phase space, and the particles comprising the hole and clump were kept resonant with the modes during the mode frequencies chirping.
Cognitive mechatronic smart system with obstacle detection using sensor-based system to avoid car accidents
Authors: Chatterjee Sumanta , Chanda Aindrila , Bhunia Pabitra Kumar , Dey Amit , Raza Md Aslam , Kundu Mainak 
Published: July 2022

Abstract
Nowadays the maximum number of cars have a high level of automatic safety system which help driver to maintain control of car and their safety system warn the driver of any potential danger. Car safety is increased by these types of distinctive attributes, but they are expensive and can be found only in expensive cars. Our research paper focuses on making a forward collision mitigation system that can work in all Kinds of vehicles without making any kind of differences between them because of Age, make, model or type and can be affordable at minimum price. If two vehicles are Moving on the same road and in the same direction, the system will analyse the distance Between two vehicles, then warn the driver about any potential danger in which she or He can be in by using ultrasonic sensors and a microcontroller. To alert the driver and Passengers effectively, the distance between two vehicles is calculated by an audio-Visual alarm and an ultrasonic.
Application of Fourier Transform to Study Hyers-Ulam Stability of Linear Differential Equations
Authors: Nallathambi Kandhasami , Santra Shyam Sundar , Alagesan K. , Routh Rajib , Maji Sayan , Khedher Khaled Mohamed 
Published: July 2022

Abstract
In this paper, we investigate the generalized Hyers-Ulam stabilities of the fourth-order homogeneous differential equation and the non-homogeneous linear differential equation by applying Fourier transform method.
Student’s performance evaluation according to the cognitive domain: fuzzy logic approach
Authors: Dam Mrinmoy , Majumder Debasish , Bhattacharjee Rupak , Santra Shyam Sundar 
Published: July 2022

Abstract
Teaching learning process is one of the important aspects in academic performance evaluation of students. This gives an idea of how much a student has gained the knowledge and skill in a particular subject during the entire season. In this paper, a multi criteria-based decision support system based on six levels of revised Bloom’s cognitive domain has been presented to measure the cognitive knowledge and skill acquired by a student. The fuzzy set theoretic approach has been adopted to overcome the vagueness/fuzziness present in the evaluation process and the inexact causal relationship between input and output parameters has been addressed using the Mamdani fuzzy IF-THEN rules. Finally, a comparative study has been depicted between the marks obtain by a group of students in the exam with their cognitive knowledge score.
Oscillatory Properties of Third-order Neutral Delay Difference Equations
Authors: Chitra L. , Alagesan K. , Das S. , Bhattacharjee A. , Govindan V. 
Published: July 2022

Abstract
In this paper, we are connected with oscillation of third-order linear neutral delay difference equation of the form

Δ
(

c
2

(
σ
)
Δ
(

c
1

(
σ
)
Δ
h
(
σ
)
)
)
+
p
(
σ
)
x
(
σ
−
ς
)
=
0
,

σ
≥

σ
0

>
0
,

where

h
(
σ
)
=
x
(
σ
)
+
q
(
σ
)
x
(
σ
−
η
)

. Here c
1(σ) and c
2(σ) are the sequence of positive integers, p(σ) and q(σ) are positive and real sequences such that q(σ) ≥ q
0 > 1 and p(σ) ≠ 0, ς, η are positive integers, such that ς > η.
An Ensemble Heart Disease Prediction Model Bagged with Logistic Regression, Naïve Bayes and K Nearest Neighbour.
Authors: Majumder Annwesha Banerjee , Gupta Somsubhra , Singh Dharmpal 
Published: July 2022

Abstract
Cardiovascular disease is an immense threat in today’s world. Every year lots of people died by this disease. Though medical science evolved and evaluated much extends still in many areas of the world there are lack of medical support. Early detection of cardiovascular can save lives where machine learning can help us. Advancement of artificial intelligence and machine learning are now playing an effective role in disease prediction and different health care applications. In this paper a heart disease prediction model has been proposed using ensemble learning. Single learning mechanism may not give a proper result so by combing multiple learners better performance from the model can be achieved. In this paper bagging with Logistic Regression, Gaussian Naïve Bayes and K Nearest Neighbour have applied.
Impact of diksha app as an electronic resource in english language teaching learning process in different kendriya vidyalayas’ of india
Authors: Ghosh Koushik 
Published: July 2022

Abstract
This paper seeks to present the impact of Diksha App as an electronic resource in English Language Teaching Learning process in different Kendriya Vidyalayas’ of India. NEP-2020 Para 23.6 emphasizes on the integration of technology-based education platforms, such as Diksha across school and higher educational institutions for using e-contents in teaching learning processes and to use this platform for the professional development of the teachers. NEP-2020 also emphasizes on tech-savvy teachers. Diksha is such a platform through which training can be imparted both to the teachers and to students, not only that it can be used as a great resource of English language teaching learning process. How far Diksha app as a teaching learning tool is fruitful to put some light on that the researcher made a case study, a questionnaire was implemented through Google form and both the qualitative and quantitative analysis of the data has been done of the collected data received from different KVS English teachers from all over the India. This practical study also diagnoses the different demerits and limitations of Diksha App as an English Language Teaching Learning tool. The result and discussion shows some positive implications for different stakeholders on the usages of Diksha App in English Language teaching learning process.
Suitable model prediction based on COVID 19 Phase I data
Authors: Dutta Palash , Dutta Trina , Barman Ananya , Pal Moumita , Ray Ranjana 
Published: July 2022

Abstract
This paper integrates multiple standard regression models for prediction of COVID-19 infected data. We have taken Linear Regression, Polynomial Regression and Logistic Regression for our modelling and prediction purposes. These models are created, trialled and tested in MATLAB software with available data for Covid 19 infected cases. These models evolves as we get more and more data to show better predictions. Explanations of these models are valuable. The models’ forecasts are credible to epidemiologists and provide confidence in end-users such as policy makers and healthcare institutions as an output of this study. These models can be applied at different geographic resolutions, and in this paper, it is demonstrated for states in India. The model supplies more exact forecasts, in metrics averaged across the entire India. Lastly, we analyse the performance of our models for various datapoints and regression parameters to recommend optimized regression model.
Work Group 2 Position Paper: Experiments and Laboratory Work in Teacher Education
Authors: Bearden Ian , Dvořák Leoš , Planinšič Gorazd 
Published: July 2022

Abstract
The paper summarizes the results of discussion of the work group that focused on different aspects of experiments and laboratory work in teacher education. The discussion evolved around the following four guiding questions: What is the role of experiments in learning physics in general?; What are the labs supposed to help students learn?; How to achieve these goals in practice?; and How do we help future teachers develop skills/knowledge/competences so they will be successful in achieving these goals? About 30 participants shared their experience, views and ideas. The resulting views are summarized into general findings and recommendations.
Indicators of critical thinking and physics experiments
Authors: Trúsiková Anna , Velmovská Klára 
Published: July 2022

Abstract
Critical thinking is an important skill which people use every day, together with other abilities, to evaluate and interpret information, choose criteria, make decisions or solve problems. It is considered to be essential for the life in the 21st century. Various experts agree that critical thinking is not inherent and students should have an opportunity to learn how to think critically and to develop this skill in various classes. In order to do so, teachers need to be prepared to support students’ thinking. The article summarizes indicators of critical thinking which can be used in Physics classes. The proposal of an activity where students can explore how the conductor heats up when the electric current passes through it in relation to different parameters of conductor is presented. Activity exemplifies the connection between the indicators of critical thinking and the experiments in Physics classes.
Video making as a powerful tool in physics teacher education and in teaching and learning
Authors: Lucz I T , Milner-Bolotin M 
Published: July 2022

Abstract
This paper describes the results of an ongoing international research collaboration on educational science video making between the researchers at The University of British Columbia in Vancouver, Canada and Eötvös Loránd University in Budapest, Hungary. In this study, future physics teachers designed short YouTube-style educational videos showcasing their own physics demonstrations and experiments. We used Deliberate Pedagogical Thinking with Technology theoretical framework to examine how these future physics teachers acquire their pedagogical physics demonstration skills while also becoming amateur video producers. We also investigated how these videos can be used to deepen secondary students’ physics knowledge, stimulate their curiosity to increase their science engagement, interest, and motivation. Secondary school students’ feedback and the results of their pre- and post-tests also provide evidence that educational science videos that utilize the results of education research can be effective in supporting self-directed student learning.