bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Clinicopathological Profile of Breast Cancer in Young Women from a Tertiary Care Center
Authors: Shet Dinesh , Gatty Rohan Chandra , Shetty Arpitha , Baliga Manjeshwar Shrinath 
Published: July 2022

Abstract
Background Increasing number of young breast cancer patients are seen in India and many of these young breast cancer patients are considered to have more aggressive disease biology.
Aim The aim of this article was to study the clinicopathological profile of breast cancer patients in the young and older patients to understand the difference between these two groups.
Methods This was a retrospective study conducted on 421 breast cancer patients.
Results Total of 421 breast cancer patients were studied, out of which 158 patients were less than or equal to 40 years age group and 263 patients were in more than or equal to 50 years age group. Commonest T stage on presentation was T2, which was seen 56.32% of young breast cancer patients and in 64.64% of older patients. Higher nodal spread was seen in younger patients when compared with older patients (p-value = 0.00001). Older group patients had significant decline from anatomical to pathological prognostic stage group compared with younger group (29 vs. 13.29%; p-value = 0.00001). Grade 3 tumors were seen in 58.23% of younger patients and 22.05% of older patients (p-value = 0.00001). Triple-negative breast cancer was seen more commonly in younger group compared with older group (p-value = 0.0088).
Conclusions Significant number of breast cancer patients present in younger age group in India. Younger breast cancer patients tend to have higher grade tumors and triple-negative breast cancer is common in younger age groups. Pathological prognostic stage grouping appears clinically more relevant than anatomical stage groups.
Catheter Lock Anchor Technique for Placement of Retrogradely Tunneled Implantable Ports
Authors: Lingegowda Dayananda , Gupta Bharat , Gehani Anisha , Sen Saugata , Ghosh Priya 
Published: July 2022

Abstract
Purpose Groshong valved catheters require retrograde tunneling and a port chamber needs to be attached to the catheter after trimming. During this process, working space constraints are generally faced by operators. We describe a novel technique to improve the comfort of the operator while working in a constrained space.
Materials and Methods The port catheter with the distal valve is retrogradely tunneled and trimmed. Thread from absorbable surgical suture is used to anchor the catheter lock. Anchored catheter lock is comfortably pushed over the catheter into the subcutaneous tunnel without it being migrated proximally. Once the port chamber is attached to the catheter, the catheter lock is retrieved back and moved to the locking position. We retrospectively analyzed implantable ports for smoothness of curves and outcomes in terms of catheter days.
Results Technical success was achieved in all patients. There were no periprocedural complications. Clinical success was achieved in 27/29 cases. Early port removal was done due to infection in one patient and for nonhealing of the wound in one patient.
Conclusion The catheter lock anchor is a safe and useful technique for the placement of valved ports. A satisfactory catheter-nut angle can be achieved with this technique.
Is Percutaneous Screw Fixation with 6.5 mm Cannulated Cancellous Screws a Viable Option in Pelvic Ring Fractures?
Authors: Vidyarthi Ashok , Gulati Yash 
Published: July 2022

Background
Historically, internal fixation in pelvic ring fractures has been proven to be better in outcome than both external fixation and conservative management. In an attempt to overcome the morbidity of extensile surgical approaches, percutaneous fixation of the pelvis has been receiving increasing attention. The aim of the study was to assess the functional outcome in patients with pelvic ring fractures treated with percutaneous screw fixation.

Methods
The study included 12 patients of pelvic ring fracture admitted at NSCB medical college, Jabalpur (Madhya Pradesh) from December 2019 to October 2021, all treated percutaneously with cannulated cancellous screw fixation. Four patients had Tiles type C1 injury, 4 patients with type C2, 2 with type B1 and 2 with type A2 injury. Functional assessment was done using the Majeed Scoring system at preoperative, at 3 weeks, 6 weeks, and 3 months postoperatively.

Results
Functional outcome score at 3-month follow-up was poor in 8% patients, fair in 8% patients, good in 33.3% patients, and excellent in 50% patients. Pain was the most frequent complaint on follow-up.

Conclusion
Fixation of acute pelvic ring injuries with 6.5 mm cc screws using percutaneous technique offers favorable functional outcome and can be performed in hemodynamically unstable patients.
The Optimal Choice of Technique for Stereotactic Radiosurgery—A LINAC-Based Dosimetric Study between DCA, DCA-SSO, DCA-SSO-VDR, and VMAT
Authors: Venugopal Ramya , S. Sowmya Narayanan , Tiwari Richa , Narayanan Geeta S. , Vishwanathan Bhaskar 
Published: July 2022

Abstract
Introduction Advanced radiation therapy delivery techniques require greater understanding of various planning sequences and methods. The aim of this study is to determine a class solution that finds the best possible technique to deliver for stereotactic radiosurgery between dynamic conformal arc (DCA) techniques using various options such as DCA, DCA + SSO (segment shape optimization), and DCA + SSO + VDR (variable dose rate) using noncoplanar beam arrangement and volumetric modulated arc therapy (VMAT) using coplanar beams.
Materials and Methods In this dosimetric study, 11 brain cases were retrospectively planned for various techniques and analyzed for the Paddick conformity index (CI), Radiation Therapy Oncology Group homogeneity index (HI), Paddick gradient index (GI), treatment time in terms of monitor units (MU) and normal brain dose (V12Gy). The paired t-test was performed to know the statistical significance between the techniques.
Results In terms of CI, GI, and control of the normal brain dose, the VMAT plan was superior to other techniques. But, HI was found to be better with DCA. Above all, VMAT delivered higher MU than any other technique. The p-values between DCA + SSO and DCA, DCA + SSO + VDR and DCA + SSO, and VMAT and DCA + SSO + VDR are as follows: CI: 0.0004, 0.015, and 0.03; GI: 0.03, 0.33, and 0.29; HI: 0.008, 0.04, and 0.06; V12 Gy of normal brain: 0.1, 0.01, 0.38. VMAT requires approximately 41 ± 17% more MU than DCA + SSO + VDR.
Conclusion VMAT using coplanar beams is preferable among all the techniques, considering the dosimetric parameters studied. If VMAT is not available in the facility, DCA + SSO + VDR technique using non coplanar beams can be used to deliver SRS treatment.
A Study to Evaluate Risk of Ovarian Malignancy Algorithm (ROMA) in Patients with Ovarian Masses
Authors: Aafreen Asna , Pankaj Aprajita , Pankaj Apoorv 
Published: July 2022

Abstract
Objective The aim of this study was to evaluate risk of ovarian malignancy algorithm (ROMA) in premenopausal patients with ovarian masses.
Materials and Methods A mixed observational study was conducted in the Department of Obstetrics and Gynecology at Lilavati Hospital and Research Centre, Mumbai, from the month of June 2017 to March 2018. In this study, premenopausal females with ovarian masses, satisfying the inclusion criteria, were evaluated for the purpose of preoperative analysis.
Results In premenopausal females, ROMA less than 11.4% is normal and more than or equal to 1.4% is increased. Considering histopathology reports as the gold standard, significant association was present between ROMA score and premenopausal status.
Conclusion ROMA includes two recognized markers that are being used in the current scenario for the purpose of preoperative risk assessment of ovarian cancer, cancer antigen 125 (CA125), and human epididymis protein 4 (HE4). CA125 has been shown to be elevated in most ovarian cancer cells but has a low specificity for ovarian malignancies. HE4 is a recently developed biomarker that is elevated in ovarian cancers, as well as few other cancers, and has been shown to have higher specificity than CA125. Combining CA125 and HE4 provides a relatively more accurate prediction of malignancy than either test alone. ROMA culminates the benefits of the combined CA125 and HE4 biomarkers along with menopausal status to help assign a numeric risk stratification of malignancy in cases of ovarian tumors.
On the reconstruction of contrastive secondary palatalization in Common Slavic
Authors: Wandl Florian , Kavitskaya Darya 
Published: July 2022

AbstractContrastive secondary palatalization is a feature typically associated with Slavic. However, this contrast is present only in some contemporary Slavic languages, such as Ukrainian, Eastern Bulgarian, Russian, and Upper and Lower Sorbian. Thus, a question arises as to whether the secondary palatalization contrast represents a Common Slavic inheritance, and how it should be reconstructed. Providing such a reconstruction is important for the field of Slavic historical phonology, as well as for the general understanding of the development of consonant inventories with palatal consonants and the development of secondary palatalization contrasts in the world’s languages. By considering several historical scenarios, we show that /r/ : /rj/ is the only secondary palatalization contrast that can be reconstructed to a pre-stage common to all of Slavic. While pursuing the reconstruction, we use supporting evidence from the typology of sound change and the typology of consonantal inventories in the world’s languages, as well as relative chronology.
Significance of a 1 °C increase in global temperature
Authors: Gagnon J S 
Published: July 2022

Abstract
The Intergovernmental Panel on Climate Change reports indicate that the global mean temperature is about 1 °C higher than pre-industrial levels, that this increase is anthropogenic, and that there is a causal relationship between this higher temperature and an increase in frequency and magnitude of extreme weather events. This causal relationship seems at odds with common sense, and may be difficult to explain to non-experts. Thus to appreciate the significance of a one degree increase in global mean temperature, we perform back-of-the-envelope calculations relying on simple physics. We estimate the excess thermal energy trapped in the climate system (oceans, land, atmosphere) from a 1 °C increase in global mean temperature, and show that it is thousands of times larger than the estimated energy required to form and maintain a hurricane. Our estimates show that global warming is forming a very large pool of excess energy that could in principle power heatwaves, heavy precipitation, droughts, and hurricanes. The arguments presented here are sufficiently simple to be presented in introductory physics classes, and can serve as plausibility arguments showing that even a seemingly small increase in global mean temperature can potentially lead to extreme weather events.
Key factors affecting contact resistance in coplanar organic thin-film transistors
Authors: Jo Sun-Woo , Cho Seongjae , Kim Chang-Hyun 
Published: July 2022

Abstract
We present a comprehensive numerical analysis of contact resistance in coplanar organic thin-film transistors. A large number of hole-transporting organic transistors are investigated through two-dimensional finite-element simulation, by deliberately changing the channel length, source/drain electrode thickness, and hole-injection energy barrier heights. Gate-field-dependent terminal contact resistances of these devices are fully estimated and electrostatic distributions inside the organic semiconductor film are visualized for the understanding of physical mechanisms. It is found that the relationship between source/drain electrode thickness and contact resistance does not follow any simple trend and is also strongly associated with the injection energy barrier. Moreover, the origin of negative contact resistance in organic transistors featuring a minimal charge-injection barrier is elaborated. Finally, a direct impact of the semiconductor charge-carrier mobility on contact resistance is addressed, revealing a linear dependence of contact resistance on inverse mobility over a broad parameter range.
Deep learning-enabled soft tissue tumor localization using spatially offset Raman spectral analysis: in-silico investigations
Authors: Jayasankar Subitcha , Bajhaiya Deepak , Narayanan Unni Sujatha 
Published: July 2022

Abstract
Raman spectroscopy and its derivatives have gained wide acceptance among optical biopsy tools for tissue discrimination. However, the identification and localization of subsurface soft tissue tumors are still challenging. Several designs for the Raman probe have been proposed to this effect, among which spatially offset Raman spectroscopy (SORS) could offer a potential solution. This paper attempts to demonstrate the simultaneous identification of subsurface adenoma depth and thickness using Convolutional Neural Networks applied on Monte Carlo simulated SORS signals. The application of transfer learning model resulted in a better root mean square error (RMSE) of 4.40% for depth prediction as compared to the 7%–25% RMSE demonstrated by previous reports. Simultaneous thickness prediction is demonstrated for the first time with 8.42% RMSE.
Current through a hybrid four-terminal Josephson junction with Majorana nanowires
Authors: Liu Long , Sun Sutao , Huo Yunchang , Li Shuang , Han Tiwen 
Published: July 2022

Abstract
We investigate the current through a hybrid four-terminal Josephson junction with semiconductor nanowires, in which the junction is connected with two superconducting electrodes and two normal electrodes. The semiconductor nanowire, which is subject to an external magnetic field with Rashba spin–orbit coupling and proximity-induced superconductivity, can host Majorana bound states. When all the nanowires lie in topological nontrivial region, a 4π-periodic current can be observed through the normal terminal and a 2π-periodic current through the superconducting terminal. When a rotating magnetic field is applied to the junction, the supercurrent through different terminals varies with the variation of the magnetic field direction. Only when the magnetic field is applied at certain angles, we find that the 4π-periodic current will appear through the normal terminal.
Interplay of magnetic states and hyperfine fields of iron dimers on MgO(001)
Authors: Shehada Sufyan , dos Santos Dias Manuel , Abusaa Muayad , Lounis Samir 
Published: July 2022

Abstract
Individual nuclear spin states can have very long lifetimes and could be useful as qubits. Progress in this direction was achieved on MgO/Ag(001) via detection of the hyperfine interaction (HFI) of Fe, Ti and Cu adatoms using scanning tunneling microscopy. Previously, we systematically quantified from first-principles the HFI for the whole series of 3d transition adatoms (Sc-Cu) deposited on various ultra-thin insulators, establishing the trends of the computed HFI with respect to the filling of the magnetic s- and d-orbitals of the adatoms and on the bonding with the substrate. Here we explore the case of dimers by investigating the correlation between the HFI and the magnetic state of free standing Fe dimers, single Fe adatoms and dimers deposited on a bilayer of MgO(001). We find that the magnitude of the HFI can be controlled by switching the magnetic state of the dimers. For short Fe-Fe distances, the antiferromagnetic state enhances the HFI with respect to that of the ferromagnetic state. By increasing the distance between the magnetic atoms, a transition toward the opposite behavior is observed. Furthermore, we demonstrate the ability to substantially modify the HFI by atomic control of the location of the adatoms on the substrate. Our results establish the limits of applicability of the usual hyperfine hamiltonian and we propose an extension based on multiple scattering processes.
Design and optimization of electromagnetic tomography and electrical resistance tomography dual-modality sensor
Authors: Wang Chao , Wang Ruichang , Liang Xiao , Ye Jiamin , Chen Xueyong 
Published: July 2022

Abstract
Electromagnetic tomography and electrical resistance tomography (EMT/ERT) dual-modality sensors can combine the advantages of single-modality sensors and detect the distribution of a three-phase medium in a gas–liquid–solid three-phase fluidized bed containing magnetic catalyst. However, the detailed design and optimization of the structure of the EMT/ERT dual-modality sensor arranged in the same cross-section are lacking. In this paper, this problem is solved from the perspective of mutual interference with both EMT and ERT. In numerical simulations, the boundary measurement data and the quality of reconstructed images are compared between single-modality and dual-modality. It is concluded that the EMT has no interference with the ERT, whereas the EMT is interfered by the ERT with the increase of duty ratio. In addition, it is determined that the position of the center of the coil facing the center of the electrodes and the electrode duty ratio of 0.5 are the optimal dual-modality structure. A dual-modality sensor experiment is carried out, and the optimal structure of dual-modality sensor is further validated.
The accelerated design of the nanoantenna arrays by deep learning
Authors: Ma Lan , Wang Shulong , Li Yuhang , Wang Guosheng , Duan Xiaoling 
Published: July 2022

Abstract
Nanoantenna fusion photonics and nanotechnology can manipulate light through the ultra-thin structure composed of sub-wavelength antennas, and meet the important requirements for miniaturized optical components, completely changing the field of optics. However, the device design process is still time-consuming and consumes computing resources. Besides, the professional knowledge requirements of engineers are also high. Relying on the algorithm’s inference ability and excellent computing ability, artificial intelligence has great potential in the fields of material design, material screening, and device performance prediction. However, the deep learning (DL) requires a mass of data. Therefore, this article proposes a method for the forward and inverse design of nanoantenna based on DL. Compared with the previous work, the network uses a two-dimensional matrix as input, which has a simple structure and is more suitable for the advantages of deep netural network. Simultaneously, the small datasets can be used to achieve higher accuracy. In the forward prediction, 100% of the data error is less than 0.007; in the inverse prediction, the data with error less than 0.05 accounted for 90%, 99.8% and 100% of the length, height, and width’s datasets. It demonstrates that the method can improve the automation of the design process and reduce the consumption of computer resources.
Selective gas detection of titania nanoparticles via impedance spectroscopy and capacitive measurement
Authors: Singh Aditya Kumar , Bhowmik Basanta 
Published: July 2022

Abstract
The present paper demonstrated the impedance analysis of Au/TiO2 nanoparticles/Si–Al capacitive sensor for selective detection of volatile organic compounds (VOCs) at different frequency regimes. TiO2 nanoparticles (NP) were synthesized through the solution process and characterized by field-emission scanning electron microscopy , x-ray diffraction analysis, photoluminescence spectroscopy, and atomic force microscopy. The gas sensitivity of Au/TiO2
-NP/Si–Al was investigated, with the effect of temperature modulation (25 °C–250 °C) and dielectric variation in the vicinity of nanoparticles. Impedance spectroscopy of TiO2
-NP was carried out to obtain resonant peaks over the frequency ranging from 0.05 to 225 kHz and fitted with a complex nonlinear least-squares method. The optimum sensor response of 136%, 63%, 152%, and 174% was found at resonant frequencies of 0.38 kHz, 0.22 kHz, 0.15 kHz, and 0.1 kHz for the exposure of 2-propanol, acetone, ethanol, and methanol, respectively. The fastest response time and recovery time were found to be 32/21 s, 31.2/8 s, 32.5/9 s, and 40/26 s for acetone, 2-propanol, ethanol, and methanol, respectively. Selective detection of different VOCs at various resonant frequencies has correlated with the dielectric variation of the NPs and their associated void region under gas exposure.
Probe temperature effect on the curling probe and its correction technique
Authors: Ogawa Daisuke , Kihira Yuki , Kato Shota , Nakamura Keiji , Sugai Hideo 
Published: July 2022

Abstract
This article introduces the effect of the probe temperature existing in a curling probe, which enables one to measure the electron density in plasma and the thickness of deposited film on the probe surface. We have recognized the effect appearing on the resonant frequency in previous reports, but we made measurement conditions where no temperature affected the frequency shift. The practical use of curling probes does not always allow one to have such an ideal condition, so it is necessary to have a good understanding of the probe temperature effect. Toward the understanding, we firstly measured the resonant frequency shift for five different operating powers with a curling probe having a heater and thermocouple attached to the probe surface. The frequency shift measurement showed consistent trends with plasma off and on. With some careful analyses, we found that the correction factor, which is necessary to compensate for the electron density measurement due to geometry reasons, etc for curling probe, had a regularity as a function of probe temperature; the inversed square of the correction factor was proportional to the degree of resonant frequency shift. Furthermore, the proportionality depended on the probe temperature with the regularity, so we finally were able to include the probe temperature effect on the correction factor, which realized the correction of the electron density even when the probe has a temperature variation. The electron density measurement with this correction technique worked well and followed the density measured with the Langmuir probe well. In particular, this research revealed that the correct technique is effective when probing temperature increases.
Facet effects on generation-recombination currents in semiconductor laser diodes
Authors: Fenwick W E , Deri R J , Baxamusa S H , Pope D L , Boisselle M C , Dutra D M , Allen N P , Crowley M , Thiagarajan P , Hosoda T 
Published: July 2022

Abstract
The contribution of facet defect currents to the overall generation-recombination current of laser diodes operating near 800 nm is quantified experimentally, using the dependence of current on cavity length to isolate facet effects. The results show that facet currents exhibit an ideality factor much greater than 2, while currents associated with the interior of the laser diode stripes exhibit an ideality factor of 2. These differences in behavior provide an approach to infer additional details of defect evolution in aging studies of semiconductor laser diodes.