bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theoretical and observational prescription of warm-inflation in FLRW universe with torsion
Authors: Chakraborty Madhukrishna , Sardar Gopal , Bose Akash , Chakraborty Subenoy 
Published: September 2023

AbstractThe paper deals with Warm Inflationary scenario in FLRW with torsion both from theoretical and observational point of view. In the background of flat FLRW model the Hubble parameter is found to be proportional to the torsion function and warm inflation is examined both in weak and strong dissipation regimes for the power law choice of potential using slow-roll approximation with quasi-stable criteria for radiation. The slow-roll parameters, no.of e-folds, scalar spectral index, and tensor-to-scalar ratio are determined in the present model for mainly three choices of the dissipation coefficient $$\Gamma $$
Γ
using the Planck data set. Finally, we focus on single-field chaotic quartic potential with the above choices of the dissipation coefficient to confront the warm inflation observational predictions directly with the latest observational data set.
Spatial and temporal characteristics of spontaneous parametric down-conversion with varying focal planes of interacting beams
Authors: Bernecker Richard , Baghdasaryan Baghdasar , Fritzsche Stephan 
Published: September 2023

Abstract
Spontaneous parametric down-conversion (SPDC) is a widely used process to prepare entangled photon pairs. In SPDC, a second-order nonlinear crystal is pumped by a coherent laser beam to generate photon pairs. The photon pairs are usually detected by single-mode fibers (SMF), where only photons in a Gaussian mode can be collected. The collection modes possess typical Gaussian parameters, namely a beam waist and a focal plane position. The collection efficiency of photons highly depends on the choice of both parameters. The exact focal plane position of the pump beam relative to those of the detection modes is difficult to determine in a real experiment. Usually, theoretical and experimental studies assume that the focal plane positions of the pump and the generated beams are positioned in the center of the crystal. The displacement of beam focal planes can lead to deviations from expected results and the coupling efficiency into SMF can decrease. In this study, we theoretically examine variable positions of focal planes in the Laguerre–Gaussian basis, a popular experimental modal decomposition of the spatial biphoton state. We explore how the choice of focal plane positions affects the spatial and temporal properties and the purity of the photon pairs. We present SPDC setups where precise knowledge of the focal plane position is essential and scenarios where focal plane displacements have negligible impact on experimental outcomes.

Graphical Abstract
SG-Float: Achieving Memory Access and Computing Power Reduction Using Self-Gating Float in CNNs
Authors: Wu Jun-Shen , Hsu Tsen-Wei , Liu Ren-Shuo 
Published: September 2023

Convolutional neural networks (CNNs) are essential for advancing the field of artificial intelligence. However, since these networks are highly demanding in terms of memory and computation, implementing CNNs can be challenging. To make CNNs more accessible to energy-constrained devices, researchers are exploring new algorithmic techniques and hardware designs that can reduce memory and computation requirements.
In this work, we present self-gating float (SG-Float), algorithm hardware co-design of a novel binary number format, which can significantly reduce memory access and computing power requirements in CNNs. SG-Float is a self-gating format that uses the exponent to self-gate the mantissa to zero, exploiting the characteristic of floating-point that the exponent determines the magnitude of a floating-point value and the error tolerance property of CNNs. SG-Float represents relatively small values using only the exponent, which increases the proportion of ineffective mantissas, corresponding to reducing mantissa multiplications of floating-point numbers. To minimize the accuracy loss caused by the approximation error introduced by SG-Float, we propose a fine-tuning process to determine the exponent thresholds of SG-Float and reclaim the accuracy loss. We also develop a hardware optimization technique, called the SG-Float buffering strategy, to best match SG-Float with CNN accelerators and further reduce memory access. We apply the SG-Float buffering strategy to vector-vector multiplication processing elements (PEs), which NVDLA adopts, in TSMC 40nm technology. Our evaluation results demonstrate that SG-Float can achieve up to 35% reduction in memory access power and up to 54% reduction in computing power compared with AdaptivFloat, a state-of-the-art format, with negligible power and area overhead. Additionally, we show that SG-Float can be combined with neural network pruning methods to further reduce memory access and mantissa multiplications in pruned CNN models. Overall, our work shows that SG-Float is a promising solution to the problem of CNN memory access and computing power.
Annotations as Knowledge Practices in Image Archives: Application of Linked Open Usable Data and Machine Learning
Authors: Cornut Murielle , Raemy Julien Antoine , Spiess Florian 
Published: September 2023

We reflect on some of the preliminary findings of the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) research project around annotations of photographic archives from the Swiss Society for Folklore Studies (SSFS) as knowledge practices, the underlying technological decisions, and their impact. The aim is not only to seek more information but to find new approaches of understanding the way in which people’s memory relate to the collective, public form of archival memory and ultimately how users figure in and shape the digital archive.
We provide a proof-of-concept workflow based on automatically generated annotations comprising 53,481 photos that were subjected to object detection using Faster R-CNN Inception ResNet V2. Of the detected objects, 184,609 have a detection score greater than 0.5, 123,529 have a score greater than 0.75, and 88,442 have a score greater than 0.9. A threshold of 0.75 was set for the dissemination of our annotations, compatible with the W3C Web Annotation Data Model (WADM) and embedded in our IIIF Manifests.
In the near future, the workflow will be upgraded to allow for the co-existence of various, and occasionally conflicting, assertions made by both human and machine users. We believe that Linked Open Usable Data (LOUD) standards should be used to improve the sustainability of such an ecosystem and to foster collaboration between actors in cultural heritage.
Machine learning based cascaded ANN MPPT controller for erratic PV shading circumstances
Authors: Sreedhar R. , Karunanithi Kandasamy , Ramesh Subramanian 
Published: September 2023

Power generation is challenged to meet energy demand during peak hours. As a result of limited non-renewable energy resources, power utilities heavily rely on fossil fuels. Therefore, scientists and researchers are looking for some distributed generators to provide additional power during peak hours. During such period, load demand is solved using solar power. As a consequence, grid-connected solar Photovoltaic (PV) systems are catching the attention owing to their ability to significantly reduce the use of fossil fuels. Under Partial Shading Condition (PSC), this paper utilizes Luo Converter along with Cascaded Artificial Neural Network (ANN), which is a Machine Learning Based Maximum Power Point Tracking (ML-MPPT) approach for tracking optimal power from PV system. The gained DC supply is converted into AC voltage using VSI attached to the system. In addition, PI controller engaged controls the voltage at grid side and results in effective grid synchronization. Furthermore, MATLAB Simulink analysis is carried out and the outcomes reveal the effectiveness of proposed system with 98% efficiency under different PV circumstances.
Impact of New Cardiovascular Events on Quality of Life and Hospital Costs in People With Cardiovascular Disease in the United Kingdom and United States
Authors: Lui Juliana Nga Man , Williams Claire , Keng Mi Jun , Hopewell Jemma C. , Sammons Emily , Chen Fang , Gray Alastair , Bowman Louise , Landray Sir Martin J. , Mihaylova Borislava ,   the REVEAL Collaborative Group
Published: September 2023

Background
Despite optimized risk factor control, people with prior cardiovascular disease remain at high cardiovascular disease risk. We assess the immediate‐ and longer‐term impacts of new vascular and nonvascular events on quality of life (QoL) and hospital costs among participants in the REVEAL (Randomized Evaluation of the Effects of Anacetrapib Through Lipid Modification) trial in secondary prevention.

Methods and Results
Data on demographic and clinical characteristics, health‐related quality of life (QoL: EuroQoL 5‐Dimension‐5‐Level), adverse events, and hospital admissions during the 4‐year follow‐up of the 21 820 participants recruited in Europe and North America informed assessments of the impacts of new adverse events on QoL and hospital costs from the UK and US health systems' perspectives using generalized linear regression models. Reductions in QoL were estimated in the years of event occurrence for nonhemorrhagic stroke (−0.067 [United Kingdom], −0.069 [US]), heart failure admission (−0.072 [United Kingdom], −0.103 [US]), incident cancer (−0.064 [United Kingdom], −0.068 [US]), and noncoronary revascularization (−0.071 [United Kingdom], −0.061 [US]), as well as in subsequent years following these events. Myocardial infarction and coronary revascularization (CRV) procedures were not found to affect QoL. All adverse events were associated with additional hospital costs in the years of events and in subsequent years, with the highest additional costs in the years of noncoronary revascularization (£5830 [United Kingdom], $14 133 [US Medicare]), of myocardial infarction with urgent CRV procedure (£5614, $24722), and of urgent/nonurgent CRV procedure without myocardial infarction (£4674/£4651 and $15 251/$17 539).

Conclusions
Stroke, heart failure, and noncoronary revascularization procedures substantially reduce QoL, and all cardiovascular disease events increase hospital costs. These estimates are useful in informing cost‐effectiveness of interventions to reduce cardiovascular disease risk in secondary prevention.

Registration

URL:
https://www.clinicaltrials.gov
; Unique identifier: NCT01252953;
https://www.Isrctn.com
. Unique identifier: ISRCTN48678192;
https://www.clinicaltrialsregister.eu
. Unique identifier: 2010‐023467‐18.
Synthetic Observations of the Planetary Boundary Layer from Space: A Retrieval Observing System Simulation Experiment Framework
Authors: Kurowski Marcin J. , Teixeira Joao , Ao Chi , Brown Shannon , Davis Anthony B. , Forster Linda , Wang Kuo-Nung , Lebsock Matthew , Morris Mary , Payne Vivienne , Richardson Mark T. , Roy Richard , Thompson David R. , Wilson Robert C. 
Published: September 2023

Abstract
To address critical gaps identified by the National Academies of Sciences, Engineering, and Medicine in the current Earth system observation strategy, the 2017–27 Decadal Survey for Earth Science and Applications from Space recommended incubating concepts for future targeted observables including the atmospheric planetary boundary layer (PBL). A subsequent NASA PBL Incubation Study Team Report identified measurement requirements and activities for advancing the maturity of the technologies applicable to the PBL targeted observables and their associated science and applications priorities. While the PBL is the critical layer where humans live and surface energy, moisture, and mass exchanges drive the Earth system, it is also the farthest and most inaccessible layer for spaceborne instruments. Here we document a PBL retrieval observing system simulation experiment (OSSE) framework suitable for assessing existing and new measurement techniques and determining their accuracy and improvements needed for addressing the elevated Decadal Survey requirements. In particular, the benefits of large-eddy simulation (LES) are emphasized as a key source of high-resolution synthetic observations for key PBL regimes: from the tropics, through subtropics and midlatitudes, to subpolar and polar regions. The potential of LES-based PBL retrieval OSSEs is explored using six instrument simulators: Global Navigation Satellite System–Radio Occultation, differential absorption radar, visible to shortwave infrared spectrometer, infrared sounder, Multi-angle Imaging SpectroRadiometer, and microwave sounder. The crucial role of LES in PBL retrieval OSSEs and some perspectives for instrument developments are discussed.
Evaluation of the SmartClip™ Nonradioactive Seed, a Novel Wireless Localization Method for the Breast: Initial Clinical Experience and Surgical Outcome
Authors: Hefelfinger Leah , Doherty Alexander , Wahab Rifat , Rosen Lauren , Shaughnessy Elizabeth A. , Lewis Jaime D. 
Published: September 2023

Introduction Wire localization has been the gold standard for breast localization of non-palpable lesions for decades. This technique remains robust but has disadvantages relative to scheduling, complications of vasovagal reactions in placement, wire migration, or transection. With more modern technologies available, several implantable markers have been developed to allow uncoupling of localization by radiology and the surgical procedure on the same day. This study summarizes our experience with the EnVisio Navigation System™ utilizing SmartClip™ as the implantable tissue localization marker. Methods An IRB-approved retrospective database of benign and malignant breast disease was used to perform a review of 100 consecutive patients who underwent SmartClip™ localized breast and axillary procedures in 2021. Demographic information, localization accuracy, associated surgical procedure(s) with resultant pathology findings, margin status for malignancies, and re-excision rate were collected. Results The localized breast lesion or lymph node was excised and SmartClip™ retrieved in all cases, confirmed by intraoperative specimen radiograph. The distribution of gender and race/ethnicity among the patients who underwent surgery reflects the community population and frequency of breast cancer development among men versus women. 45.1% of the cases involved malignancy, as determined pre-operatively. Positive margins requiring re-excision constituted 18.2% of cases. In twenty-six patients, two or three SmartClips™ were placed per case for either a bracketed lesion, two separate breast lesions, and/or a breast lesion and lymph node. Conclusion Although this study is limited in patient number, it demonstrates safety of this technique and its reliability in guiding the surgeon directly to the lesion(s) of concern.
Acral Lentiginous Melanoma: A Clinicoprognostic Study of 149 Cases at a Single Institution
Authors: Zheng Xuejing , Wu Wence , Yu Shengji 
Published: September 2023

Objective The objective of this study is to investigate the epidemiological features, clinical characteristics, and pathological characteristics of acral lentiginous melanoma (ALM) and identify prognostic factors. Methods A total of 149 patients diagnosed with ALM between August 2008 and December 2019 at the National Cancer Center (NCC) of China were retrospectively analyzed. Follow-up data on patient survival status were collected. Survival curves were generated using the Kaplan-Meier method, and statistical significance was assessed using the log-rank test. Additionally, a Cox proportional hazards model was constructed to identify prognostic factors. Results All patients included in this study were of Chinese ethnicity, with an average age of 52.4 ± 14.8 years (range, 15-80 years) at the time of diagnosis. No gender predilection or genetic susceptibility was observed. The plantar region was the most frequently affected site among primary lesions. Notably, only 17 (11.4%) patients reported a history of trauma. Statistical analysis revealed that a lesion duration of ≤2.5 years, Breslow thickness >4.0 mm, high mitotic rate (>6 mm−2), presence of vascular invasion, and regional lymph node metastasis were identified as independent prognostic factors. Conclusion Our findings indicate that a lesion duration of ≤2.5 years, Breslow thickness >4.0 mm, high mitotic rate (>6 mm−2), presence of vascular invasion, and regional lymph node metastasis are significantly associated with a poorer prognosis for patients with ALM.
Impact of COVID-19 Induced Economic Hardships on Women Participation in MGNREGA Works During the Financial Year 2020–2021
Authors: Abhishek  
Published: September 2023

Impact of COVID-19 induced lockdown has been massive for the Indian economy; it witnessed a contraction in gross domestic product and massive employment loss. India being a poor country and a huge population having insignificant to no social security, a large number of those workers who lost employment were not having option to remain unemployed. Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) which is a job-guarantee programme launched a decade earlier and that has been instrumental in providing employment opportunities to rural women casual workers witnessed a huge increase in demand as both men and women flocked to it. For the financial year 2020–2021 the share of women in the person-days worked under MGNREGA fell. The article using data from MGNREGA public data portal and the Centre for Monitoring Indian Economy seeks to explain the reasons behind this fall and suggest that MGNREGA needs to be expanded and modified in favour of women casual workers till the recovery on the employment front does not happen. JEL Codes: H53, I38, J08, J16, J23, J30, J48, J71, J78
How Should Doctors Frame the Risk of a Vaccine’s Adverse Side Effects? It Depends on How Trustworthy They Are
Authors: Juanchich Marie , Sirota Miroslav , Holford Dawn Liu 
Published: September 2023

Background How health workers frame their communication about vaccines’ probability of adverse side effects could play an important role in people’s intentions to be vaccinated (e.g., positive frame: side effects are unlikely v. negative frame: there is a chance of side effects). Based on the pragmatic account of framing as implicit advice, we expected that participants would report greater vaccination intentions when a trustworthy physician framed the risks positively (v. negatively), but we expected this effect would be reduced or reversed when the physician was untrustworthy. Design In 4 online experiments ( n = 191, snowball sampling and n = 453, 451, and 464 UK residents via Prolific; Mage≈ 34 y, 70% women, 84% White British), we manipulated the trustworthiness of a physician and how they framed the risk of adverse side effects in a scenario (i.e., a chance v. unlikely adverse side effects). Participants reported their vaccination intention, their level of distrust in health care systems, and COVID-19 conspiracy beliefs. Results Physicians who were trustworthy (v. untrustworthy) consistently led to an increase in vaccination intention, but the way they described adverse side effects mattered too. A positive framing of the risks given by a trustworthy physician consistently led to increased vaccination intention relative to a negative framing, but framing had no effect or the opposite effect when given by an untrustworthy physician. The exception to this trend occurred in unvaccinated individuals in experiment 3, following serious concerns about one of the COVID vaccines. In that study, unvaccinated participants responded more favorably to the negative framing of the trustworthy physician. Conclusions Trusted sources should use positive framing to foster vaccination acceptance. However, in a situation of heightened fears, a negative framing—attracting more attention to the risks—might be more effective. Highlights How health workers frame their communication about a vaccine’s probability of adverse side effects plays an important role in people’s intentions to be vaccinated. In 4 experiments, we manipulated the trustworthiness of a physician and how the physician framed the risk of adverse side effects of a COVID vaccine. Positive framing given by a trustworthy physician promoted vaccination intention but had null effect or did backfire when given by an untrustworthy physician. The effect occurred over and above participants’ attitude toward the health care system, risk perceptions, and beliefs in COVID misinformation.
Integration of Nanobioadhesion in Orthodontic Bonding: An In Vitro Study
Authors: Nethivalavan Mohana , Parihar Ajit Vikram , Upadhyay Chandan , Sharma Vipul Kumar , Chaturvedi T. P. , Das Arya K. 
Published: September 2023

Objectives The objective of this study was to evaluate the ability of the bioactive glass-bonds to inhibit the demineralization surrounding the orthodontic brackets and evaluate the physical and mechanical properties in order to be accepted as an orthodontic bonding agent. Materials and Methods Preparation of mesoporous bioactive glass (MBG) used an improved sol-gel method. The samples were prepared with different surfactant to oil ratio with 12 groups and one control group with six samples each. The debonding characteristics were analyzed using an Instron Universal Testing Machine (UTM). After six months of pH cycling in vitro saliva solution to simulate the oral environment, the microstructure was analyzed using a field emission gun-based scanning electron microscope (SEM). The sample, which is viable in terms of physical and mechanical properties, is converted into a single paste form by addition of resins and compared with the control group Transbond XT adhesive. Results SEM analysis showed that the prepared MBG particles possess spherical morphology. Novel orthodontic bonding material (BG) provides adequate mechanical properties with bond strength of 7.2 MPa ( p = .304) in order to be accepted as an orthodontic bonding agent since its bond strength both at the time of bonding ( p = 1) and after six months ( p = .325) in simulated salivary conditions is in par with conventional bonding resin (TBXT) with reduced demineralization potential. Conclusion This novel adhesive results in reduced demineralization surrounding orthodontic brackets and possesses optimal physical and mechanical properties to be accepted as an orthodontic adhesive.