bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interferons as Neoadjuvant Chemotherapy for Giant Cell Tumor: A Hospital-Based Prospective Pilot Study
Authors: Sah Saroj Prasad , Regmi Anil , Niraula Bishwa Bandhu , Sehrawat Amit , Bhagat Saroj Kumar , Dhingra Mohit 
Published: January 2024

Abstract
Introduction Neoadjuvant chemotherapy is now considered an effective way to treat Campanacci grade 2 and 3 giant cell tumors (GCTs). Assessment of these drugs is essential clinically, radiologically, and pathologically. This study analyzes the early results of angiogenesis inhibitors (interferons) in the aggressive GCT of bone.
Methodology A prospective pilot study was conducted from January 2021 to July 2022 including eight biopsy-proven GCT patients subjected to interferon therapy. Radiological assessment was done with changes on plain radiograph, computerized tomography scan, and magnetic resonance imaging. Histopathological examination was done by changes in the biopsy and resected segment.
Results Out of the eight patients included in the study, 26% (n = 3) were males and 62% (n = 5) were females, with mean age of the patients being 24.6 ± 8.48 years (range: 22–38). There was significant reduction of the size of swelling (p-value: 0.049), significant reduction in Visual Analog Scale score (p-value: 0.011), significant decrease in swelling size on radiograph (p-value: 0.012), significant marginal sclerosis (p-value: 0.001), significant neocortex formation on radiographs (p-value: 0.001), significant result in and osteoid formation (p-value: 0.001) on histology. Whereas Campanacci grade on plain radiographs, number of viable cells, and number of viable stromal cell were not statistically different in comparison with pretherapy and posttherapy status.
Conclusion Interferon therapy in a GCT has potential beneficiary effect in terms of clinical, radiological, and pathological outcomes. It might prove to be an effective alternative to standard neoadjuvant chemotherapy in the management of aggressive GCT of bones.
Level of Evidence III.
An Individualized Educational Package for Improving Knowledge and Practices of Caregivers of Patients with Spinal Cord Injury: A Quasiexperimental Study
Authors: Punia Indu , Rajora Manju A. K. , Khakha Deepika Cecil , Agarwal Deepak 
Published: January 2024

Abstract
Introduction Globally, traumatic spinal cord injury occurs at a rate of 13 to 53 cases per million populations. These patients tend to get dependent on hospital staff as well as caregivers for their activities of daily living. There are insufficient data available on whether the caregivers have adequate knowledge and required skills to perform the same.
Aim Our aim was to evaluate the impact of an individualized educational package on the knowledge and practices of caregivers of patients with spinal cord injury.
Methods The caregivers (n = 30) were recruited in the quasi-experimental study by using a nonequivalent, control group design using the TREND checklist. Study subjects were divided into two groups, that is, control and experimental. The intervention was delivered through an educational package in the experimental group, and no intervention was given to the control group. The educational package was delivered by dedicated registered nurse. Ethical approval was taken from the ethical committee, and informed consent was obtained from the study participants. Data were analyzed using STATA version 16 and SPSS version 20.
Result The mean age of patients was 34.6 + 2.7 years, and majority (90%) were males. The most common cause of spinal cord injury was fall from height in 53.3% patients followed by road traffic accidents in 36.6% patients. The mean posttest knowledge score (30.7 + 8.6) of subjects in the experimental group was significantly higher than the control group (18.4 + 5.3). Also, the mean posttest practice score (54.3 + 9) of subjects in the experimental group was significantly higher than the control group (35.9 + 6.8).
Conclusion Educating caregivers (relatives) can dramatically improve the quality of life of patients as well as prevent complications and rehospitalizations. A dedicated nurse educator should be posted in spinal cord injury wards to deliver such educational packages.
Journal Metrics of Orthopaedic Journals between 2016 and 2021: Trends and Comparisons with Other Specialties
Authors: Cedeno Edgar , Pasqualini Ignacio , Emara Ahmed K. , Ibaseta Alvaro , Oyem Precious C. , Deren Matthew , Krebs Viktor E. , Molloy Robert , Piuzzi Nicolas S. 
Published: January 2024

AbstractBibliometric analysis plays a crucial role in elucidating publication trends and aids scholars in gauging the reach of prospective journals for their research dissemination. Concerns with impact factor (IF) have led us to examine the trends in IF, corrected IF (cIF), and Citescore in orthopaedic journals from 2016 to 2021 and compare them with internal medicine and general surgery journals. Journal IF and cIF were obtained from Journal Citation Reports and Citescore data from the Elsevier Scopus database for the years 2016 to 2021. Orthopaedic journals were categorized, and 10 medicine and surgery journals were selected for comparison. Mean values were analyzed to identify trends. The study included 52 orthopaedic journals, evenly split between the United States and the rest of the world, predominantly publishing in English. Mean IF in orthopaedic journals increased from 1.93 (2016) to 2.78 (2021), with similar rises in cIF and Citescore. These trends were consistent in specialty and general orthopaedic journals. No significant differences were found in mean IF between these categories. Medicine and surgery journals also experienced significant IF increases. Orthopaedic journals have experienced growing esteem and extent from 2016 to 2021. Specialty and general orthopaedic journals showed parallel growth. Researchers can utilize this analysis for informed publishing decisions, potentially expanding their readership.
A multifunctional frequency selective rasorber based on hybrid microfluidic-electronic control
Authors: Yuan Hang , Brizi Danilo , Mishra Varsha , Fang Xiaoxing , Li Huangyan , Cao Qunsheng , Monorchio Agostino 
Published: January 2024

Abstract
In this paper, a multifunctional frequency selective rasorber (FSR) based on hybrid microfluidic-electronic control is presented. The proposed FSR consists of a photosensitive resin-based microfluidic channel and an active frequency selective surface. The lossy layer utilizes the special properties of water (dispersion characteristics, fluidity), and has great advantages in low profile, multifunction, and low costs. Four different responses are realized by the combination of two independent control systems, which provide more degrees of freedom for manipulating electromagnetic waves. In addition, the distribution of electric fields and power loss densities are thoroughly analyzed to derive the physical properties of the proposed structure. Finally, a multifunctional FSR is fabricated and measured, and the simulated and tested results are in good agreement. The proposed structure performs under different polarizations and incident angles (up to 30°), which ensures the stability and security of the communication system in complex environments.
A highly tunable biosensor in graphene-vanadium dioxide hyperbolic metamaterial based on surface plasmon resonance
Authors: Zhang Jing , Zhou Xiang , Ding Yiping , Yang Chenfei , Yue Qinxin , Deng Dongmei , Ouyang Shigen , Yang Xiangbo 
Published: January 2024

Abstract
We investigate the Goos-Hänchen

GH

shift in a hyperbolic metamaterial comprising graphene

GHMM

and vanadium dioxide

V
O

2

as the dielectric. Our study reveals that the dispersion type of GHMM can be controlled via the Fermi energy of graphene and temperature, modulating wavelength intervals. Notably, the GH shift in type I dispersion surpasses that in elliptical and type II dispersions. This suggests GH shift control by altering dispersion in GHMM. Thickness variations in

V
O

2

and the number of graphene/

V
O

2

layers minimally affect GH shift. In contrast, graphene thickness significantly impacts GH shift, with thicker graphene yielding minor shifts. Meanwhile, we discover that substantial GH shift enhancement by surface plasmon resonance

SPR

excitation, with sensitivity to refractive index changes in the sensing layer. Based on the above conclusions, we theoretically propose a highly tunable biosensor uniting GHMM with SPR and use it to distinguish normal cells from cancer cells. This work advances optical biosensors and precise physical quantity measurements.
Dimensional scaling effects on critical current density and magnetization switching in CoFeB-based magnetic tunnel junction
Authors: Phoomatna R , Sampan-a-pai S , Meo A , Chantrell R W , Chureemart J , Chureemart P 
Published: January 2024

Abstract
In this work, we theoretically investigate the size dependence of the magnetization reversal behavior in CoFeB-MgO-CoFeB magnetic tunnel junctions (MTJs) by employing an atomistic spin model coupled with the spin accumulation model. The former and the latter are used to construct the magnetic structure and to model the spin transport behavior, respectively. The accuracy of the approach is confirmed by investigating the dependence of the magnetic properties on the size of the MTJ. Perpendicular magnetic anisotropy (PMA) is observed for thickness less than 1.3 nm, which is in an excellent agreement with experiment. To investigate the magnetization dynamics induced by spin-polarized current, a charge current is injected into the MTJ structure perpendicular to the stack leading to a spin-transfer torque acting on the magnetization of the CoFeB layer. The results show that the critical current density to reverse the magnetization is lower for PMA-MTJ and in addition for the same injected current density the time required to switch the magnetization is shorter than for an in-plane MTJ. The results can be used as a guideline to optimize the design of high performance MTJs for STT-MRAM applications.
Properties of the single-particle spectrum generated by the mixed fractional rotation group
Authors: Budaca R 
Published: January 2024

Abstract
The deformation-related properties of the single-particle spectrum generated by a fractional rotational group with mixed derivative definitions are investigated in order to ascertain the spectrum's suitability as a viable microscopic model. A new parametrization is proposed based on fits on experimental single-particle levels. The performance of the resulting model is judged by calculating the microscopic contribution to the masses and the ground state deformation of even–even nuclei.
Studying lepton flavor violating μ decays with vector leptoquark
Authors: Nayak Lopamudra , Brahma Barnali , Giri Anjan 
Published: January 2024

Abstract
We study the charged LFV μ decays such as μ → e
γ, μ → eee, and

μ
−
e

Ti

with a vector leptoquark (U
3) by considering the constraints from non-standard neutrino interaction (NSI) sector parameter ϵ

e
μ
. We consider that these NSIs are attributed to the presence of leptoquarks to account for the difference in the experimental observations of δ

CP
measurement by NOvA and T2K. In our study, we obtained the branching ratios with uncertainties for three decay modes:

B
(
μ
→
e
γ
)

≤

4.6

−
2.6

+
3.8

×

10

−
18

,

B
(
μ
→
eee
)

≤

9.57

−
5.37

+
7.43

×

10

−
21

,

B

μ
→
e

Ti

≤

6.89

−
3.89

+
5.61

×

10

−
19

.

Our results show an improvement in the current limits, which can be explored in future experiments.
Application of bioinspired geomagnetic sensor measurements and geomagnetic map modeling based on neural networks in simulated navigation
Authors: Shi Hongkai , Tang Ruiqi , Wang Qingmeng , Song Tao 
Published: January 2024

Abstract
A geomagnetic field is a vector field in which the strength and direction are related to geographical location. Geomagnetic navigation technology, which uses collected geomagnetic field information to achieve positioning and navigation, has the advantages of reliability, stability, accuracy, and concealment. With the deepening research on geomagnetic navigation, bioinspired geomagnetic navigation technology has also been developed, which mainly studies and imitates the magnetic sensing mechanism and navigation behavior of animals, providing new research ideas for geomagnetic navigation technology. The magnetic particle hypothesis and free radical pair hypothesis are two mainstream mechanisms of biological sensing using the geomagnetic field, and studies have shown that these two mechanisms may be coupled within organisms. In this study, we propose a bioinspired weak magnetic vector (BWMV) sensor based on the joint sensing mechanism of magnetic particles and free radicals. It consists of a magnetic rod made of soft magnetic material and a tunnel magnetoresistance (TMR) sensor array. A magnetic rod was used to simulate magnetic particles to convert magnetic field angle information into magnetic field intensity distribution information, and the TMR sensor array was used to simulate the perception of the magnetic field distribution by free radicals. In addition, artificial neural networks (ANNs) were used for BWMV sensors to obtain the mapping relationship between the magnetic field distribution and parameters, which can be used for geomagnetic navigation. To verify the navigation effect of the BWMV sensor in the laboratory, a simulated geomagnetic navigation device was built, and the high-precision mapping relationship from geomagnetic parameters to latitude and longitude information of the selected navigation area was obtained through another ANN. Finally, the effectiveness of the BWMV sensor based on ANNs for geomagnetic navigation is verified using simulated navigation experiments.
Compound fault diagnosis of rolling bearings with few-shot based on DCGAN-RepLKNet
Authors: Zhu Hongze , Fang Ting 
Published: January 2024

AbstractTo guarantee the security of personnel on-site, diagnosing the malfunction of mechanical apparatus is imperative. The accomplishments within the domain of fault diagnosis have been partly attributed to the advancements in deep learning technology, which excels in feature extraction through extensive datasets. However, it is difficult to collect sufficient data to train high-precision fault diagnosis models in practice. A novel method called deep convolution generative adversarial network (DCGAN)-RepLKNet is proposed to address the challenge of gathering enough data to train high-precision fault diagnosis models in practice. This technique involves transforming a one-dimensional time series vibration signal into a two-dimensional (2D) time-frequency map via wavelet transform technology. Subsequently, DCGAN expands the 2D time–frequency map samples produced. Finally, RepLKNet is used to classify the fault samples. The proposed method has been verified in the PU compound fault data set and bearing real damage data set. The results show that the accuracy of this method has been improved by 5.70%, 6.34%, 9.08%, and 16.35% compared to 2D-CNN under different sizes datasets in case 1, and by 24.5% compared to 2D-CNN in case 2.
Online calibration method for SINS/LDV integrated navigation system based on left group error definition
Authors: Xiang Zhiyi , Wang Qi , Jin Shilong , Nie Xiaoming , Zhou Jian 
Published: January 2024

Abstract
The integration of strapdown inertial navigation system (SINS) and laser Doppler velocimeter (LDV) is a reliable technology for land vehicle positioning. To ensure the best positioning performance of the SINS/LDV integrated navigation system, it is necessary to calibrate it accurately. However, the accuracy of the error model of the traditional calibration method is seriously affected by the large misalignment angle, which in turn affects the accuracy and consistency of the filtering, and eventually leads to the decline of the calibration accuracy. Therefore, this paper introduces the Lie group theory for the first time into the calibration study of the SINS/LDV integrated navigation system. Based on the error state vector defined by the left group error definition in the Lie group, the three calibration models of the SINS/LDV integrated navigation system are derived in the Earth-centered Earth-fixed frame, using velocity, displacement increment, and dead reckoning (DR) position, which are the three common observation information. The most significant advantage of these calibration models is their ability to handle large initial misalignment angles. The calibration models proposed in this paper are comprehensively evaluated by two long-distance vehicle experiments. The test results show that under normal conditions (no large attitude misalignment angle and all sensors are working properly), the Lie group-based calibration methods have similar performance to the traditional calibration method, but they have significant advantages in the case of large initial attitude deviation. In addition, using displacement increment and DR position as observations improves calibration performance compared to velocity.
Low-temperature cluster spin glass transition in the single-domain NiCr2O4 nanoparticles
Authors: Nashaat Ahmed M , Kassem Mohamed A , Abu El-Fadl Abdulaziz , Nakamura Hiroyuki 
Published: January 2024

Abstract
NiCr2O4 nanoparticles with average particle size ∼15 nm, a single-domain size maintains the bulk canted antiferromagnetic ground state, were synthesized by a microwave combustion method. The magnetic behavior was carefully investigated by static and dynamic magnetic susceptibility measurements. In addition to a spin-glass-like behavior below paramagnetic-ferrimagnetic transition at T
C, the NiCr2O4 nanoparticles demonstrate a low-temperature cluster spin glass transition below the spin canting transition T
S, which manifests itself as a magnetic anomaly peak around ∼12 K (at 100 Oe) in the zero-field cooled magnetization with a relatively stronger field dependence in a ‘de Almeida-Thouless’ line for spin glasses. The AC susceptibility analyses in different approaches demonstrate a larger relative peak temperature variation per frequency decade and a longer characteristic relaxation time in the order of 0.04 and 10−7 s, against 0.01 and 10−9 s for the high-temperature blocking, indicating the slow spin dynamics for the low-temperature cluster glassy phase. A field-temperature magnetic phase diagram is proposed for the single-domain NiCr2O4 nanoparticles.
PdSe2/MoSe2: a promising van der Waals heterostructure for field effect transistor application
Authors: Awasthi Chetan , Khan Afzal , Islam S S 
Published: January 2024

Abstract
The field-effect transistor (FET) is a fundamental component of semiconductors and the electronic industry. High on-current and mobility with layer-dependent features are required for outstanding FET channel material. Two-dimensional materials are advantageous over bulk materials owing to their higher mobility, high ON/OFF ratio, low tunneling current, and leakage problems. Moreover, two-dimensional heterostructures provide a better way to tune electrical properties. In this work, the two distinct possibilities of PdSe2/MoSe2 heterostructure have been employed through mechanical exfoliation and analyzed their electrical response. These diffe approaches to heterostructure formation serve as crucial components of our investigation, allowing us to explore and evaluate the unique electronic properties arising from each design. This work demonstrates that the heterostructure possesses a better ON/OFF ratio of ∼5.78 × 105, essential in switching characteristics. Moreover, MoSe2 provides a defect-free interface to PdSe2, resulting in a higher ON current of ∼10 μA and mobility of ∼63.7 cm2V−1s−1, necessary for transistor applications. In addition, comprehending the process of charge transfer occurring at the interface between transition metal dichalcogenides is fundamental for advancing next-generation technologies. This work provides insights into the interface formed between the PdSe2 and MoSe2 that can be harnessed in transistor applications.
Mini-GRID radiotherapy on the CLEAR very-high-energy electron beamline: collimator optimization, film dosimetry, and Monte Carlo simulations
Authors: Clements Nathan , Esplen Nolan , Bateman Joseph , Robertson Cameron , Dosanjh Manjit , Korysko Pierre , Farabolini Wilfrid , Corsini Roberto , Bazalova-Carter Magdalena 
Published: January 2024

Abstract

Objective. Spatially-fractionated radiotherapy (SFRT) delivered with a very-high-energy electron (VHEE) beam and a mini-GRID collimator was investigated to achieve synergistic normal tissue-sparing through spatial fractionation and the FLASH effect. Approach. A tungsten mini-GRID collimator for delivering VHEE SFRT was optimized using Monte Carlo (MC) simulations. Peak-to-valley dose ratios (PVDRs), depths of convergence (DoCs, PVDR ≤ 1.1), and peak and valley doses in a water phantom from a simulated 150 MeV VHEE source were evaluated. Collimator thickness, hole width, and septal width were varied to determine an optimal value for each parameter that maximized PVDR and DoC. The optimized collimator (20 mm thick rectangular prism with a 15 mm × 15 mm face with a 7 × 7 array of 0.5 mm holes separated by 1.1 mm septa) was 3D-printed and used for VHEE irradiations with the CERN linear electron accelerator for research beam. Open beam and mini-GRID irradiations were performed at 140, 175, and 200 MeV and dose was recorded with radiochromic films in a water tank. PVDR, central-axis (CAX) and valley dose rates and DoCs were evaluated. Main results. Films demonstrated peak and valley dose rates on the order of 100 s of MGy/s, which could promote FLASH-sparing effects. Across the three energies, PVDRs of 2–4 at 13 mm depth and DoCs between 39 and 47 mm were achieved. Open beam and mini-GRID MC simulations were run to replicate the film results at 200 MeV. For the mini-GRID irradiations, the film CAX dose was on average 15% higher, the film valley dose was 28% higher, and the film PVDR was 15% lower than calculated by MC. Significance. Ultimately, the PVDRs and DoCs were determined to be too low for a significant potential for SFRT tissue-sparing effects to be present, particularly at depth. Further beam delivery optimization and investigations of new means of spatial fractionation are warranted.
Spatial Analysis of The Human Development Index in Indonesia Before and During The Covid-19 Pandemic
Authors: Astari S , Chotib  
Published: January 2024

Abstract
In 2020 Indonesia’s HDI reached 71.94 or in a very high category, it is in 107th place out of 189. The HDI in every province in Indonesia shows varying numbers and has increased every year, but there has been a slowdown increase from 2019 to 2020, which caused by the Covid-19 pandemic. This study aims to analyze the variables which affect HDI in Indonesia before and during the Covid-19 pandemic, it also to analyze Covid-19 pandemic affect HDI in Indonesia. This research uses a quantitative method with descriptive analysis and inferential analysis by spatial regression using geoda software. The HDI before the Covid-19 pandemic is significantly affected by the percentage of poor residents and the university gross enrollment rate, while the during Covid-19 pandemic, HDI is also significantly affected by Gross Regional Domestic Product (GRDP) per capita and ratio of the number of hospital beds to 1.000 residents. Based on the spatial dependency test, it is known that there is a spatial dependency for HDI in Indoncovid-10esia during Covid-19 pandemic period. From these results, it is necessary to have a policy that is oriented to reducing poverty, increasing the scope of education services, improving macroeconomic conditions in a region and also ensure a sufficient number of hospital beds, especially during the Covid-19 pandemic.