bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling and analysis of three-phase grid-tied photovoltaic systems
Authors: Dandoussou Abraham , Kenfack Pierre 
Published: May 2023

AbstractThe global warming of the planet is as a result of human activities. Fossil fuel depletion and its high prices have caused a worldwide economic instability; governments around the world turn to alternative energy sources that are pollution-free. Solar photovoltaic system is one of the biggest renewable energy resources to generate electrical power and the fastest growing power generation in the world. The objectives of this work are: to ensure the maximum power point tracking (MPPT) in the side of the PV panels, to ensure the DC–DC boost converter boosts DC voltage by using the MPPT algorithm and pulse width modulation (PWM) technique, to invert the boosted DC voltage to three-phase AC voltages by using sine PWM technique to five-level VSI, to synchronize the PV-generated power to the grid power aided by the synchronous reference frame (SRF) controller. The step of modelling the photovoltaic system with MATLAB/Simulink was performed with RL-load and L-load and %THD got through FFT analysis. The results show that the DC voltage generated by the PVA produces an AC current sinusoidal at the output of the inverter. The contribution of the PV system to the grid consequently reduces the power fluctuation of the grid.
A deep learning-based brain-computer interaction system for speech and motor impairment
Authors: Mohamed Nader A. Rahman 
Published: May 2023

Abstract
Some people may experience accidents, strokes, or diseases that lead to both motor and speech disabilities, making it difficult to communicate with others. Those with paralysis face daily challenges in meeting their basic needs, particularly if they have difficulty speaking. Individuals with dysarthria, amyotrophic lateral sclerosis, and similar conditions may find it challenging to understand speech.The proposed system for automatic recognition of daily basic needs aims to improve the quality of life for individuals suffering from dysarthria and quadriplegic paralysis. The system achieves this by recognizing and analyzing brain signals and converting them to either audible voice commands or texts that can be sent to a healthcare provider's mobile phone based on the system settings.The proposed system uses a convolutional neural network (CNN) model to detect event-related potentials (ERPs) within the EEG signal to select one of six basic daily needs while displaying their images randomly. Ten volunteers participated in this study, contributing to the creation of the dataset used for training, testing, and validation. The proposed approach achieved an accuracy of 78.41%.
The Maine Cancer Genomics Initiative: Implementing a Community Cancer Genomics Program Across an Entire Rural State
Authors: Rueter Jens , Anderson Eric C. , Graham Leah C. , Antov Andrey , Helbig Petra , Gaitor Lory , Bourne Jennifer , Edelman Emily , Reed E. Kate , Reddi Honey V. , Mockus Susan , DiPalazzo John , Lu-Emerson Christine , Inhorn Roger , Sinclair Sarah J. , Thomas Christian A. , Brooks Philip L. , Rasmussen Karen , Han Paul , Liu Edison T. ,   MCGI Working Group
Published: May 2023

PURPOSE
The Maine Cancer Genomics Initiative (MCGI) aimed to overcome patient- and provider-level barriers to using genomic tumor testing (GTT) in rural practices by providing genomic tumor boards (GTBs), clinician education, and access to comprehensive large-panel next-generation sequencing to all patients with cancer in Maine. This paper describes the successful implementation of the initiative and three key services made operative between 2016 and 2020.

METHODS
A community-inclusive, hub-and-spoke approach was taken to implement the three program components: (1) a centralized GTB program; (2) a modular online education program, designed using an iterative approach with broad clinical stakeholders; and (3) GTT free of charge to clinicians and patients. Implementation timelines, participation metrics, and survey data were used to describe the rollout.

RESULTS
The MCGI was launched over an 18-month period at all 19 oncology practices in the State. Seventy-nine physicians (66 medical oncologists, 5 gynecologic oncologists, 1 neuro-oncologist, and 7 pediatric oncologists) enrolled on the study, representing 100% of all practicing oncologists in Maine. Between July 2017 and September 2020, 1610 patients were enrolled. A total of 515 cases were discussed by 47 (73%) clinicians in 196 GTBs. Clinicians who participated in the GTBs enrolled significantly more patients on the study, stayed in Maine, and reported less time spent in clinical patient care.

CONCLUSION
The MCGI was able to engage geographically and culturally disparate cancer care practices in a precision oncology program using a hub-and-spoke model. By facilitating access to GTT, structured education, and GTBs, we narrowed the gap in the implementation of precision oncology in one of the most rural states in the country.
Unravelling the nonlinear ideal density response of many-body systems
Authors: Tolias Panagiotis , Dornheim Tobias , Moldabekov Zhandos A. , Vorberger Jan 
Published: May 2023

Abstract
Nonlinear density response theory is revisited focusing on the harmonically perturbed finite temperature uniform electron gas. Within the non-interacting limit, brute force quantum kinetic theory calculations for the quadratic, cubic, quartic and quintic responses reveal a deep connection with the linear response. Careful analysis of the static long wavelength limit led us to conjecture a canonical non-interacting form that expresses arbitrary order nonlinear responses as the weighted sum of the linear responses evaluated at all multiple harmonics. This harmonic expansion is successfully validated against ab initio path integral Monte Carlo simulations.
Political Plants
Authors: Chatterjee Sria 
Published: May 2023

AbstractThis essay considers a series of examples of contemporary and early twentieth-century artistic projects done in collaboration and conversation with plant scientists around the theme of plant sentience. In particular, it zooms in on the work of the Indian biophysicist Jadagish Chandra Bose and the Indian artist Gaganendranath Tagore in the 1920s and the Italian plant scientist Stephano Mancuso and German artist Carsten Höller in the 2020s. The essay has four interconnected aims. The first is to investigate how and why plant sentience is visually and spatially represented by artists. The second is to show through two broad examples how plant science can be and has been co-opted to serve different political, economic, and ideological positions. The third and broader aim of this essay is to counter a widespread ethical assertion in environmental humanities and animal studies that destabilizing human-nonhuman binaries intrinsically lends itself to projects of environmental justice by encouraging humans to coexist more equitably with other species. In other words, we should not assume that artistic production is spontaneously aligned to ethics of multispecies justice. The fourth and concluding aim is to make the related argument that plant sentience and other ways of knowing and relating across species need to be understood within the context of colonial and extractive histories.
Can MRI biomarkers for hearing loss in enlarged vestibular aqueduct be measured reproducibly?
Authors: Saeed Haroon S , Rajai Azita , Dixon Rachel , Kapadia Tejas , Bruce Iain A , Stivaros Stavros 
Published: May 2023

Objective: Morphological features of an enlarged endolymphatic duct (ED) and sac (ES) are imaging biomarkers for genotype and hearing loss phenotype. We determine which biomarkers can be measured in a reproducible manner, facilitating further clinical prediction studies in enlarged vestibular aqueduct hearing loss. Methods: A rater reproducibility study. Three consultant radiologists independently measured previously reported MRI ED & ES biomarkers (ED midpoint width, maximal ED diameter closest to the vestibule, ES length, ES width and presence of ES signal heterogeneity) and presence of incomplete partition Type 2 from 80 ears (T2 weighted axial MRI). Interclass correlation coefficients (ICC) and Gwet’s Agreement Coefficients (AC) were generated to give a measure of reproducibility for both continuous and categorical feature measures respectively. Results: ES length, width and sac signal heterogeneity showed adequate reproducibility (ICC 95% confidence intervals 0.77–0.95, Gwet’s AC for sac heterogeneity 0.64). When determining ED midpoint width, measurements from multiple raters are required for “good” reliability (ICC 95% CI 0.75–0.89). Agreement on the presence of incomplete partition Type 2 ranged from “moderate” to “substantial”. Conclusions: Regarding MR imaging, the opinion of multiple expert raters should be sought when determining the presence of an enlarged ED defined by midpoint width. ED midpoint, ES length, width and signal heterogeneity have adequate reproducibility to be further explored as clinical predictors for audiological phenotype. Advances in knowledge: We report which ED & ES biomarkers are reproducibly measured. Researchers can confidently utilise these specific biomarkers when modelling progressive hearing loss associated with enlarged vestibular aqueduct.
Algorithms for Competitive Division of Chores
Authors: Brânzei Simina , Sandomirskiy Fedor 
Published: May 2023

We study the problem of allocating divisible bads (chores) among multiple agents with additive utilities when monetary transfers are not allowed. The competitive rule is known for its remarkable fairness and efficiency properties in the case of goods. This rule was extended to chores by Bogomolnaia, Moulin, Sandomirskiy, and Yanovskaya. For both goods and chores, the rule produces Pareto optimal and envy-free allocations. In the case of goods, the outcome of the competitive rule can be easily computed. Competitive allocations solve the Eisenberg-Gale convex program; hence the outcome is unique and can be approximately found by standard gradient methods. An exact algorithm that runs in polynomial time in the number of agents and goods was given by Orlin. In the case of chores, the competitive rule does not solve any convex optimization problem; instead, competitive allocations correspond to local minima, local maxima, and saddle points of the Nash social welfare on the Pareto frontier of the set of feasible utilities. The Pareto frontier may contain many such points and, consequently, the outcome of the competitive rule is no longer unique. In this paper, we show that all the outcomes of the competitive rule for chores can be computed in strongly polynomial time if either the number of agents or the number of chores is fixed. The approach is based on a combination of three ideas: all consumption graphs of Pareto optimal allocations can be listed in polynomial time; for a given consumption graph, a candidate for a competitive utility profile can be constructed via an explicit formula; each candidate can be checked for competitiveness and the allocation can be reconstructed using a maximum flow computation. Our algorithm immediately gives an approximately-fair allocation of indivisible chores by the rounding technique of Barman and Krishnamurthy. Funding: This work was supported by National Science Foundation (CNS 1518941); Lady Davis Fellowship Trust, Hebrew University of Jerusalem; H2020 European Research Council (740435); Linde Institute at Caltech.
A mapping review on preoperative prognostic factors and outcome measures of revision total knee arthroplasty
Authors: Belt Maartje , Robben Bart , Smolders José M. H. , Schreurs B. W. , Hannink Gerjon , Smulders Katrijn 
Published: May 2023

AimsTo map literature on prognostic factors related to outcomes of revision total knee arthroplasty (rTKA), to identify extensively studied factors and to guide future research into what domains need further exploration.MethodsWe performed a systematic literature search in MEDLINE, Embase, and Web of Science. The search string included multiple synonyms of the following keywords: "revision TKA", "outcome" and "prognostic factor". We searched for studies assessing the association between at least one prognostic factor and at least one outcome measure after rTKA surgery. Data on sample size, study design, prognostic factors, outcomes, and the direction of the association was extracted and included in an evidence map.ResultsAfter screening of 5,660 articles, we included 166 studies reporting prognostic factors for outcomes after rTKA, with a median sample size of 319 patients (30 to 303,867). Overall, 50% of the studies reported prospectively collected data, and 61% of the studies were performed in a single centre. In some studies, multiple associations were reported; 180 different prognostic factors were reported in these studies. The three most frequently studied prognostic factors were reason for revision (213 times), sex (125 times), and BMI (117 times). Studies focusing on functional scores and patient-reported outcome measures as prognostic factor for the outcome after surgery were limited (n = 42). The studies reported 154 different outcomes. The most commonly reported outcomes after rTKA were: re-revision (155 times), readmission (88 times), and reinfection (85 times). Only five studies included costs as outcome.ConclusionOutcomes and prognostic factors that are routinely registered as part of clinical practice (e.g. BMI, sex, complications) or in (inter)national registries are studied frequently. Studies on prognostic factors, such as functional and sociodemographic status, and outcomes as healthcare costs, cognitive and mental function, and psychosocial impact are scarce, while they have been shown to be important for patients with osteoarthritis.Cite this article: Bone Jt Open 2023;4(5):338–356.
Advanced inter-spacecraft offset frequency setting strategy for the Taiji program based on a two-stage optimization algorithm
Authors: Zhang Jiafeng , Ma Xiaoshan , Zhao Mengyuan , Peng Xiaodong , Gao Chen , Yang Zhen 
Published: May 2023

For space-based gravitational wave (GW) detection, the continuity of detection data acquisition is crucial to the inversion of wave sources and the realization of scientific goals. To control the inter-spacecraft beat-note frequency in an appropriate range for continuous gravitational wave detection and to reduce the upper bound of the beat-note frequency for improving the detection capability, a two-stage optimization algorithm is proposed to solve the offset frequency setting strategy in the Taiji program. The optimization objectives are the maximum offset frequency duration and minimum upper bound of the beat-note frequency. Considering all feasible phase-locked schemes, Doppler frequency shift, and the bandwidth of the phasemeter, a series of offset frequency setting strategies satisfying the conditions was obtained. The solution results show that the upper bound can be reduced to 16 MHz and, in this case, the offset frequency changes nine times with a minimum and maximum offset frequency duration of 90 days and 713 days, respectively. If the Doppler frequency shift is constrained, the minimum upper bound can be reduced to 14 MHz. When the minimum duration is increased, the minimum upper bound is increased. These results show that, by varying the offset frequency a limited number of times, the data continuity requirements of the Taiji program can be satisfied, and the phasemeter development difficulty and detection capability can be balanced, and may provide a reference for the phasemeter design, the setting of phase-locking schemes, and inter-spacecraft offset frequency in the Taiji program.
Four-band terahertz metamaterial absorber based on Dirac semimetal for a refractive index sensing application
Authors: Jiang Jieying , Xu Wei , Wu Yangkuan , Duan Guiyuan , Xu Chongyang , Zhao Qingguo , Zhu Huaxin , Zhang Xiangyang , Wang Ben-Xin 
Published: May 2023

We design a four-band narrow-band near-perfect absorber based on bulk Dirac semimetal (BDS) metamaterial in the terahertz region. The absorber has a top-to-bottom three-layer structure of a BDS layer, an insulating dielectric slab, and a gold layer. The BDS is flexible and tunable, allowing the Fermi energy level to be adjusted by changing the applied bias voltage, thus changing the absorption characteristics of the absorber. We use the time-domain finite-difference method to simulate the absorption characteristics of the absorber, which could achieve four discrete near-perfect absorption peaks at 0.98 THz, 1.70 THz, 2.02 THz, and 2.36 THz. The absorber is polarization sensitive, and the conversion between four-band absorption and three-band absorption is achieved by changing the incident polarization angle. We also change the structure of the absorber to study the absorption characteristics and break the structural symmetry to achieve a larger number of absorption peaks. Besides, the sensing performance of four-band narrow-band absorption is analyzed, and the maximum sensitivity of the absorber is 112.78 GHz/RIU. The device should have vast application prospects for bio-detection and high-sensitivity biosensing detection.
Method of depth simulation imaging and depth image super-resolution reconstruction for a 2D/3D compatible CMOS image sensor
Authors: Guo Shijie , Chen Quanmin , Zhao Zhe , Xu Jiangtao , Nie Kaiming 
Published: May 2023

This paper presents a depth simulation imaging and depth image super-resolution (SR) method for two-dimensional/three-dimensional compatible CMOS image sensors. A depth perception model is established to analyze the effects of depth imaging parameters and evaluate the real imaging effects. We verify its validity by analyzing the depth error, imaging simulation, and auxiliary physical verification. By means of the depth simulation images, we then propose a depth SR reconstruction algorithm to recover the low-resolution depth maps to the high-resolution depth maps in two types of datasets. With the best situation in depth accuracy kept, the root mean square error (RMSE) of Middlebury dataset images are 0.0156, 0.0179, and 0.0183 m. The RMSE of RGB-D dataset images are 0.0223 and 0.0229 m. Compared with other listed conventional algorithms, our algorithm reduces the RMSE by more than 16.35%, 17.19%, and 23.90% in the Middlebury dataset images. Besides, our algorithm reduces the RMSE by more than 9.71% and 8.76% in the RGB-D dataset images. The recovery effects achieve optimized results.
Entanglement generation using cryogenic integrated four-wave mixing
Authors: Feng Lan-Tian , Cheng Yu-Jie , Qi Xiao-Zhuo , Zhou Zhi-Yuan , Zhang Ming , Dai Dao-Xin , Guo Guang-Can , Ren Xi-Feng 
Published: May 2023

Cryogenic integrated nonlinear photonics can provide fundamental building blocks for scalable photonic quantum computing and optical interfacing among different platforms. Here, we investigate the spontaneous four-wave mixing effect in an integrated silicon waveguide with cryogenic operating conditions (4 K) and employ the system to generate the entangled photon-pair source, one of the key elements of photonic quantum information applications. We experimentally prove that even at cryogenic temperatures, the four-wave mixing effect in silicon waveguides is still an effective method to generate quantum photonic sources. The cryogenic photon-pair source is verified over multiple frequency channels within a bandwidth of ∼2THz. Furthermore, the source is used to generate high-quality frequency-multiplexed energy–time entangled states. Our results will advance the development of cryogenic nonlinear photonics and scalable integrated photonics for quantum information processing.
Re-thinking cluster policies: the role of shared vision and Place Leadership on the development of resilient clusters
Authors: Ganske Patricia , Carbon Claus-Christian 
Published: May 2023

AbstractFacing increasing interregional and international competition, the need for innovating economic and socio-institutional structures is virulent. One possibility is establishing clusters to promote the idea that developing a network of companies with a mix of cooperative and competitive practices leads to competitive advantages for the respective area. Organizing clusters means developing a cluster culture, a communication strategy and a selection criterion for creating the desired mix of companies. We base our opinion paper on an extensive literature review of scientific sources about clusters, cluster policy and Place Leadership. We reveal that the prevailing cluster policy often does not lead to sustainably successful clusters. We conclude that we need a shared vision among cluster members to develop resilient clusters. Shared visions create a sense of belonging, social identity, and internalization of values and attitudes. This way, it is possible that a sustainable and trust-oriented network structure can develop, and knowledge spillovers within the cluster, necessary for resilient clusters, can occur. True Place Leadership is crucial to deal with the needed diversity of actors and stakeholders, some of whom are in competition, inspiring, motivating, and guiding shared, cooperative, and collaborative ways of working. Employing Place Leadership can outperform current policy measures in other regional, industrial and structural areas and might even make them redundant.
Variability of tissue mechanical response in Sus Domesticus porcine models from in vivo to ex vivo conditions
Authors: Malik Faizan A. , Drahos Bradley A. , Safdari Amer M. , Mazzeo Mark V. , Norfleet Jack E. , Sweet Robert M. , Kowalewski Timothy M. 
Published: May 2023

Background
Healthcare simulators have been demonstrated to be a valuable resource for training several technical and nontechnical skills. A gap in the fidelity of tissues has been acknowledged as a barrier to application for current simulators; especially for interventional procedures. Inaccurate or unrealistic mechanical response of a simulated tissue to a given surgical tool motion may result in negative training transfer and/or prevents the “suspension of disbelief” necessary for a trainee to engage in the activity. Thus, where it is relevant to training outcomes, there should be an effort to create healthcare simulators with simulated tissue mechanical responses that match or represent those of biological tissues. Historically, this data is most often gathered from preserved (post mortem) tissue; however, there is a concern that the mechanical properties of preserved tissue, that lacks blood flow, may lack adequate accuracy to provide the necessary training efficacy of simulators.

Methods and findings
This work explores the effect of the “state” of the tissue testing status on liver and peritoneal tissue by using a customized handheld grasper to measure the mechanical responses of representative porcine (Sus domesticus) tissues in n = 5 animals across five test conditions: in vivo, post mortem (in-situ), ex vivo (immediately removed from fresh porcine cadaver), post-refrigeration, and post-freeze-thaw cycle spanning up to 72 hours after death. No statistically significant difference was observed in the mechanical responses due to grasping between in vivo and post-freeze conditions for porcine liver and peritoneum tissue samples (p = 0.05 for derived stiffness at grasping force values F = 5N and 6.5N). Furthermore, variance between in vivo and post-freeze conditions within each animal, was comparable to the variance of the in vivo condition between animals.

Conclusions
Results of this study further validate the use of preserved tissue in the design of medical simulators via observing tissue mechanical responses of post-freeze tissue comparable to in vivo tissue. Therefore, the use of thawed preserved tissue for the further study and emulation of mechanical perturbation of the liver and peritoneum can be considered. Further work in this area should investigate these trends further, particularly in regard to other tissues and the potential effects varying preservation methods may yield.