bluuebunny/crossref_metadata_2025_split huggingface dataset:
Front Matter
Authors: Taşar Mehmet Fatih , Heron Paula R. L. 
Published: March 2023

The International Handbook of Physics Education Research: Special Topics covers the topics of equity and inclusion; history and philosophy of physics; textbooks; mathematics; research history, methodologies, and themes. As the field of physics education research grows, it is increasingly difficult for newcomers to gain an appreciation of the major findings across all sub-domains, discern global themes, and recognize gaps in the literature. The International Handbook of Physics Education Research: Special Topics incorporates the understanding of both physics and education concepts and provides an extensive review of the literature in a wide range of important topics.
The International Handbook of Physics Education Research: Special Topics includes:The history and philosophy of physics teaching, including a review of physics textbooks.Teaching mathematics for physics students.Methodologies in physics education research and the future of physics departments.
Readers will find this comprehensive treatment of the literature useful in understanding physics education research and extending to all the physical sciences including chemistry, mathematics, astronomy, and other related disciplines.
Index
Authors: Taşar Mehmet Fatih , Heron Paula R. L. 
Published: March 2023

The International Handbook of Physics Education Research: Special Topics covers the topics of equity and inclusion; history and philosophy of physics; textbooks; mathematics; research history, methodologies, and themes. As the field of physics education research grows, it is increasingly difficult for newcomers to gain an appreciation of the major findings across all sub-domains, discern global themes, and recognize gaps in the literature. The International Handbook of Physics Education Research: Special Topics incorporates the understanding of both physics and education concepts and provides an extensive review of the literature in a wide range of important topics.
The International Handbook of Physics Education Research: Special Topics includes:The history and philosophy of physics teaching, including a review of physics textbooks.Teaching mathematics for physics students.Methodologies in physics education research and the future of physics departments.
Readers will find this comprehensive treatment of the literature useful in understanding physics education research and extending to all the physical sciences including chemistry, mathematics, astronomy, and other related disciplines.
The capsid lattice engages a bipartite NUP153 motif to mediate nuclear entry of HIV-1 cores
Authors: Shen Qi , Kumari Sushila , Xu Chaoyi , Jang Sooin , Shi Jiong , Burdick Ryan C. , Levintov Lev , Xiong Qiancheng , Wu Chunxiang , Devarkar Swapnil C. , Tian Taoran , Tripler Therese N. , Hu Yingxia , Yuan Shuai , Temple Joshua , Feng Qingzhou , Lusk C. Patrick , Aiken Christopher , Engelman Alan N. , Perilla Juan R. , Pathak Vinay K. , Lin Chenxiang , Xiong Yong 
Published: March 2023

Increasing evidence has suggested that the HIV-1 capsid enters the nucleus in a largely assembled, intact form. However, not much is known about how the cone-shaped capsid interacts with the nucleoporins (NUPs) in the nuclear pore for crossing the nuclear pore complex. Here, we elucidate how NUP153 binds HIV-1 capsid by engaging the assembled capsid protein (CA) lattice. A bipartite motif containing both canonical and noncanonical interaction modules was identified at the C-terminal tail region of NUP153. The canonical cargo-targeting phenylalanine-glycine (FG) motif engaged the CA hexamer. By contrast, a previously unidentified triple-arginine (RRR) motif in NUP153 targeted HIV-1 capsid at the CA tri-hexamer interface in the capsid. HIV-1 infection studies indicated that both FG- and RRR-motifs were important for the nuclear import of HIV-1 cores. Moreover, the presence of NUP153 stabilized tubular CA assemblies in vitro. Our results provide molecular-level mechanistic evidence that NUP153 contributes to the entry of the intact capsid into the nucleus.
Global dynamics for a collisionless charged plasma in Bianchi spacetimes in Eddington-inspired-Born–Infeld gravity
Authors: Djiodjo Seugmo Guichard , Tadmon Calvin 
Published: March 2023

Abstract
We consider a Bianchi type I–IX physical metric g, an auxiliary metric q with a collisionless charged relativistic plasma in Eddington-inspired-Born–Infeld theory. We first derive a governing system of second order nonlinear partial differential equations. Then, by the characteristics method applied to the Vlasov equation whose solution is the distribution function f, we manage to construct an iterated sequence. This leads to the existence and uniqueness of a local solution on an interval

[
0
,
T
)

, with

T
<
∞

. Then under certain assumptions of smallness on the mean curvatures in both directions, the Eddington parameter k and the dimensionless parameter λ, we show that this solution is global in time.
Omnidirectional wind piezoelectric energy harvesting
Authors: Zhang Lanbin , He Yixiang , Meng Bo , Dai Huliang , Abdelkefi Abdessattar , Wang Lin 
Published: March 2023

Abstract
A novel energy harvester based on vortex-induced vibration of the sphere and piezoelectric effect is proposed to efficiently gather wind energy from all horizontal directions. An elastically-supported foam sphere is vertically arranged and considerably oscillates in the cross-flow direction when the wind speed is in the lock-in region. A piezoelectric beam is attached to the supported sphere by a spring and deforms periodically around the original buckling state, thereby converting kinetic energy into electrical energy. Experimental studies are performed to assess the power output of the harvester when exposed to wind flows with varying directions and speeds. The omnidirectional wind flow is divided to 12 orientations with the interval angle of 30°, and the wind speeds range from 1.17 m s−1 to 7.87 m s−1. The testing findings indicate that the harvester has excellent consistency in both lock-in region and average power for various wind azimuths. When the wind direction is changed from 0° to 360°, the peak average power changes from 179.8 μW to 247.5 μW, and the wind speed region where the sphere undergoes vibration changes from 2.58 m s−1

∼

7.05 m s−1 to 2.58 m s−1

∼

7.87 m s−1. Following that, the effects of the length of the supporting spring and the diameter of the sphere on the output average power and lock-in region are investigated experimentally. Finally, a demonstration of powering a wireless sensing node is performed to show applications of the designed energy harvester in windy conditions.
Electronic signatures of successive itinerant, antiferromagnetic transitions in hexagonal La2Ni7
Authors: Lee Kyungchan , Hyun Jo Na , Wang Lin-Lin , Ribeiro R A , Kushnirenko Yevhen , Schrunk Ben , Canfield Paul C , Kaminski Adam 
Published: March 2023

Abstract
We use high-resolution angle-resolved photoemission spectroscopy (ARPES) and density functional theory (DFT) calculations to study the electronic and magnetic properties of La2Ni7, an itinerant magnetic system with a series of three magnetic transition temperatures upon cooling, which end in a weak antiferromagnetic ground state. Our APRES data reveal several electron and hole pockets that have hexagonal symmetry near the Γ point. We observe significant reconstruction of the band structure upon successive magnetic transitions at T
1 ∼ 61 K, T
2 ∼ 57 K and T
3 ∼ 42 K. Several features observed in ARPES data were reasonably well reproduced by DFT calculations, while others were not. In particular, the flat band near E

F
predicted by DFT in antiferromagnet (AFM) state, was seemingly absent in ARPES data. Our results detail the effects of magnetic ordering on the electronic structure in a Ni-based weak AFM and highlight challenges of current computational methods.
Silicon nanoparticles encapsulated in Si3N4/carbon sheaths as an anode material for lithium-ion batteries
Authors: K Brijesh , Ikhe Amol Bhairuba , Pyo Myoungho 
Published: March 2023

Abstract
Novel composite materials comprising of silicon nanoparticles (SiNPs) encapsulated with thin layers of silicon nitride and reduced graphene oxide shells (Si@Si3N4@rGO) are prepared using a simple and scalable method. The composite exhibits significantly improved cycling stability and rate capability compared to bare SiNPs. The presence of inactive α and β phases of Si3N4 increases the mechanical endurance of SiNPs. Amorphous SiN
x
, which is possibly present with Si3N4, also contributes to high capacity and Li-ion migration. The rGO sheath enhances the electronic conduction and improves the rate capability. 15-Si@Si3N4@rGO, which is prepared by sintering SiNPs for 15 min at 1300 °C, spontaneous-coating GO on Si@Si3N4, and reducing GO to rGO, delivers the highest specific capacity of 1396 mAh g−1 after 100 cycles at a current density of 0.5 A g−1. The improved electrochemical performance of 15-Si@Si3N4@rGO is attributed to the unique combination of positive effects by Si3N4 and rGO shells, in which Si3N4 mitigates the issue of large volume changes of Si during charge/discharge, and rGO provides efficient electron conduction pathways. Si@Si3N4@rGO composites are likely to have great potential for a high-performance anode in lithium-ion batteries.
A stochastic control approach to intrafraction motion management in intensity-modulated radiotherapy
Authors: Salari Ehsan , Mazur Thomas , Sharp Gregory 
Published: March 2023

Abstract

Objective. The goal of this research is to demonstrate proof-of-principle for managing intrafraction motion via feedback control of delivered dose to achieve dosimetry comparable to respiratory gating without compromising delivery efficiency. Approach. We develop a stochastic control approach for step-and-shoot intensity-modulated radiotherapy (IMRT) in which the cumulative delivered dose and future trajectory of intrafraction motion are dynamically estimated by combining pre-treatment four-dimensional computed tomography imaging and intrafraction respiratory-motion surrogates. The IMRT plan is then re-optimized in real time to ensure delivery of the planned dose in the presence of free-breathing motion. We compare the performance of the proposed approach against traditional motion-management techniques, namely, respiratory gating and internal target volume (ITV) planning, using the four-dimensional extended cardiac-torso computational phantom. Main results. We simulate the delivery of treatment plans for a lung tumor in the presence of variable breathing amplitude, tumor size, and location. Results show that the proposed method reduces irradiated tissue volume compared to ITV treatment. Additionally, it significantly reduces treatment time compared to traditional respiratory-gated treatment, without compromising the dosimetric quality. Significance. Respiratory gating is a common technique to manage intrafraction motion. While gating supports reduced treatment volumes, it also prolongs the treatment delivery time. The proposed stochastic control approach can help improve the delivery efficiency of respiratory gating without compromising the dose quality.
Design and development of type-1 FBG based high temperature sensor
Authors: Khan R Y M , Ullah R , Faisal M 
Published: March 2023

Abstract
Thermal metrology is critical in many high-energy industrial processes to optimize the process efficiency, energy consumption and quality of end product. Here, we present the design and development of a double thimble type standard type-1 fiber Bragg grating (FBG) high temperature sensing probes. Two different probes named probe-1 and probe-2 are developed by encapsulating type-1 FBGs in two stainless steel thimbles with ceramic filling. The probes are experimentally tested in a high temperature box furnace and their responses are interrogated by an optical spectrum analyzer. FBGs encapsulated in both probe-1 and probe-2 exhibited a linear red-shift in their Bragg wavelength with increase in temperature from 30 °C to 700 °C with sensitivities of 13.86 ± 0.1 pm/°C and 14.10 ± 0.2 pm/°C which are 4.8% and 3.16% lower than temperature sensitivity of bare FBG, respectively. A deformation in the Bragg spectrum of probe-1 is observed at temperatures above 500 °C however, probe-2 is found to be thermally stable up to 700 °C. An estimated life-time of about 6 years is offered by the optimized probe-2 with a negligible hysteresis and repeatability of 1°C–5°C.
Classification of Parkinson’s disease with dementia using phase locking factor of event-related oscillations to visual and auditory stimuli
Authors: Tülay Emine Elif , Yıldırım Ebru , Aktürk Tuba , Güntekin Bahar 
Published: March 2023

Abstract

Objective. In the last decades, machine learning approaches have been widely used to distinguish Parkinson’s disease (PD) and many other neuropsychiatric diseases. They also speed up the clinicians and facilitate decision-making for several conditions with similar clinical symptoms. The current study attempts to detect PD with dementia (PDD) by event-related oscillations (EROs) during cognitive processing in two modalities, i.e. auditory and visual. Approach. The study was conducted to discriminate PDD from healthy controls (HC) using event-related phase-locking factors in slow frequency ranges (delta and theta) during visual and auditory cognitive tasks. Seventeen PDD and nineteen HC were included in the study, and linear discriminant analysis was used as a classifier. During classification analysis, multiple settings were implemented by using different sets of channels (overall, fronto-central and temporo-parieto-occipital (TPO) region), frequency bands (delta-theta combined, delta, theta, and low theta), and time of interests (0.1–0.7 s, 0.1–0.5 s and 0.1–0.3 s for delta, delta-theta combined; 0.1–0.4 s for theta and low theta) for spatial-spectral-temporal searchlight procedure. Main results. The classification performance results of the current study revealed that if visual stimuli are applied to PDD, the delta and theta phase-locking factor over fronto-central region have a remarkable contribution to detecting the disease, whereas if auditory stimuli are applied, the phase-locking factor in low theta over TPO and in a wider range of frequency (1–7 Hz) over the fronto-central region classify HC and PDD with better performances. Significance. These findings show that the delta and theta phase-locking factor of EROs during visual and auditory stimuli has valuable contributions to detecting PDD.
An efficient digital pulse processing approach for identification of BGO and LSO scintillator crystals
Authors: El Tokhy Mohamed S. 
Published: March 2023

Abstract
Identification and discrimination between BGO and LSO
scintillators is a fundamental target for handling parallax error
within positron emission tomography (PET) applications by depth of
interaction. An approach is built for discrimination and
identification of BGO and LSO scintillator crystals. This approach
is tested using a simulated BGO and LSO pulses. A Matlab Simulink
model is implemented for simulation and creation of BGO and LSO
scintillation pulses. The simulated pulses depend on 22Na
radiation source. The suggested approach has two different
algorithms. The first algorithm uses both 1D-Walsh ordered fast
Walsh-Hadamard transform (1WFWHT) and fast Chebyshev transform
(FCHT) for extracting the features of crystal pulses. The optimum
features are selected from 1WFWHT and FCHT using one of three
optimization techniques that are binary dragonfly optimization
(BDA), binary atom search optimization (BASO) and binary Harris Hawk
optimization (BHHO). These optimized features are trained and tested
using one of three based classifiers. These classifiers are Naive
Bayes classifier (NBC), hierarchical prototype-based (HP) classifier
and adaptive neuro-fuzzy inference system (ANFIS)
classification. The ANFIS classifier achieves the best accuracy with
all optimum (BASO, BDF and BHH) FCHT features. However, the NB
classifier introduces the highest accuracy with all optimum (BASO,
BDF and BHH) FWHT 1D features. The second algorithm uses the
conventional neural network (CNN) for extracting the pulse
features. Then, the deep neural network (DNN) is applied for
training and testing of the captured pulses. The suggested
algorithms are verified and compared in respect of statistical
measures. The compared results confirm that the best accuracy and
identification rate is accomplished using DNN algorithm. Besides,
the DNN has better results compared to conventional classification
techniques with optimum feature selection techniques in respect of
time consumption. The proposed approach aids in the realisation of
overcoming parallax inaccuracy in PET.
Experience in using methods for monitoring the energy efficiency of hydraulic systems
Authors: Glovatskii O , Ergashev R , Rashidov J , Mirzaev M , Sultonov A , Nasyrova N 
Published: March 2023

Abstract
The purpose of this research is to improve the system of water resources management and operation of water facilities, reduce the energy consumption of irrigation pumping stations, which is one of the urgent modern problems in the Republics of Central Asia. The authors decide on the choice of such a set of subsystems and elements from the universal set, in which the value of the design parameters is provided with minimal costs. The recommendations developed by the authors use methods for monitoring the energy efficiency of hydraulic systems and are aimed at reducing electricity consumption, primarily through effective methods for regulating the operation of pumping stations. The main feature of assessing the technical condition of the units of pumping stations is the use of diagnostics of the dynamic level of elements of hydraulic units during operation. Monitoring of operating parameters of pumping stations was carried out on two pilot canals according to special tables of basic parameters. As an optimality criterion, options are accepted that differ in terms of reconstruction, duration of development of the capacity of electrical networks, interface structures of pumping stations, taking into account the time factor. By carrying out these activities, the water supply of the irrigation array will increase and crop yields will increase. After analyzing the data obtained, it will be possible to make a decision on the further use or modernization of the units of pumping units and structures. At the same time, the conditions for energy efficiency and reliability of the operation of the PS will improve.
Study on automatic water level detection process using ultrasonic sensor
Authors: Djalilov A , Sobirov E , Nazarov O , Urolov S , Gayipov I 
Published: March 2023

Abstract
Currently, we live in a world where all fields are developing very rapidly. In particular, the field of water management is developing day by day, and the water supply system is being intelligent automated. Nevertheless, mechanical means and human labor are used to monitor the water level in many water management facilities of our region. This situation causes many problems in the automatic management of the system. In this article, we will consider the process of automating the measurement and control of water level, that is, an automated system that helps to know when the water in the tank is full or empty. In the automation of this system, an ultrasonic sensor that meets the requirements of the time was used. The working principle of ultrasonic sensors is based on the movement of ultrasonic waves over time. The analysis of the results of this experiment showed that the water level measurement and control system did not make more than 1.5% error in different values of the water level. This situation showed that the developed system can be effectively used in all water level control facilities.
Optimization of the technological process for the production of dried soursop (Annona muricata Linn) for vitamin C content by response surface methodology
Authors: Nguyen Ngoc Quy , Nguyen Van Thuy , Nguyen Minh Tien , Pham Tri Nhut , Dao Tan Phat , Tran Thi Yen Nhi 
Published: March 2023

Abstract
Soursop is a popular edible fruit in the world, because of its delicious taste as well as its pharmacological values and therapeutic uses. However, this is also a perishable fruit. To increase the value of this fruit, we conducted a study to optimize the process of creating dried soursop products by the response surface method. The optimal value was osmosis at 45 cmHg pressure and heat pump drying at 25°C, obtaining the dried soursop product with the highest vitamin C content of 0.382 ± 0.011 (mg/g DW).
Assessment of The Antropogenic Impact on Mangrove Ecosystem and Endemic Fauna in Muaragembong, Bekasi, West Java
Authors: Suryono D D , Salim H L , Solihuddin T , Husrin S , Hidayat  , Sudirman N , Heriati A 
Published: March 2023

Abstract
The Muaragembong coast is degraded by anthropogenic factors such as pollution and ponds. The area that used to be a mangrove ecosystem is now experiencing abrasion. Trash trapped in the mangrove ecosystem also affects the ecosystem and its biodiversity. This research is descriptive in nature with the aim of knowing changes in mangrove areas through analysis of Landsat satellite imagery and identifying the causes of changes and impacts on endemic species. This research was conducted with the stages of literature study, analysis of satellite imagery in 2000, 2009, 2010, 2014, 2019 and 2020. Based on the analysis of satellite imagery, it was found that changes in mangrove area were confirmed with secondary data so that the factors that caused these changes were known. The results of the analysis show that the degradation of the mangrove ecosystem in 2017 was approximately 2800 ha and affected the existence of the Lutung Jawa (Trachypithecus auratus) as an endemic fauna in Muaragembong which inhabits the mangrove ecosystem on the north coast of Bekasi. It is currently estimated that there are no more than 50 present in the area, therefore the Lutung Jawa is considered a vulnerable species as cited in CITES Annex II 2008.
The Institutional Social Role for Maritim Village’s Food Stability
Authors: Khodijah I , Lestari F , Setiawan T , Habibah S N , Zulfikar A , Lumbantoruan L H 
Published: March 2023

Abstract
This study aims to explore social networks and interactions between networks in strengthening food stability in maritime villages in coastal areas. The geographical condition of the region has become one of the triggers for food instability and food security problems in coastal areas. This study uses the method of Social Network Analysis (SNA). Data processing uses R to visualize the role of stakeholder centrality. The analysis used is the analysis of baseline network, degree, and betweenness centrality. The value of modularity is an indicator of increasing or decreasing community networks. The number of nodes and links identifies the actors in the network and the interactions between actors. The results showed that social networks have an essential role in food stability. The private sector is a key actor in food stability in maritime villages. Is indicated by the modularity value of 0.43 (>0), which connects to 30 social network nodes and 62 links to food stability in maritime villages in the coastal area of Bintan Regency.