bluuebunny/crossref_metadata_2025_split huggingface dataset:
Short‐term photovoltaic prediction based on CNN‐GRU optimized by improved similar day extraction, decomposition noise reduction and SSA optimization
Authors: Li Rui , Wang Mingtao , Li Xingyu , Qu Jian , Dong Yuhan 
Published: January 2024

AbstractThe accuracy of short‐term photovoltaic (PV) power prediction is crucial for maintaining power system stability and grid scheduling. Here, a short‐term PV power prediction framework is proposed considering combined weather similarity day screening, signal decomposition noise reduction and hybrid deep learning to realize PV power prediction. First, a combined meteorological similar day screening model is constructed to screen out historical days similar to the day, which reduces the number of training sets; Second, Synchrosqueezing Wavelet Transform is utilized to eliminate data noise. Third, a Convolution Neural Network‐Gate Recurrent Unit (CNN‐GRU) network is constructed to extract periodic and nonlinear features in the PV power generation data series and to capture the relationship features between PV power generation and meteorological factors to improve the prediction accuracy. Fourth, the Sparrow Search Algorithm is introduced to perform hyper‐parameter optimization of the CNN‐GRU network to accelerate the model convergence and improve the model training efficiency. Finally, this paper conducts simulation experiments and the experimental results show that the prediction method proposed in this paper can effectively improve the prediction accuracy of short‐term PV power compared to the baseline model, and the method proposed in this paper is superior to other conventional methods.
An artificial intelligence‐based non‐intrusive load monitoring of energy consumption in an electrical energy system using a modified K‐Nearest Neighbour algorithm
Authors: Kommey Benjamin , Tamakloe Elvis , Kponyo Jerry John , Tchao Eric Tutu , Agbemenu Andrew Selasi , Nunoo‐Mensah Henry 
Published: January 2024

AbstractEnergy profligacy and appliance degradation are the apex reasons accounting for the continuous rise in power wastage and high energy bills. The decline in energy conservation and management in residences has been largely attributed to the financial implications of using intrusive methods. This work aimed to resolve the challenges of intrusive load monitoring by introducing artificial intelligence and machine learning to optimise load monitoring. To solve this challenge, a non‐intrusive approach was proposed where modalities for load prediction and classification were achieved with a Bagging regressor and a modified multiclass K‐Nearest Neighbour algorithms. This developed supervised learning models produced a 0.9624 R2 score and 78.24% accuracy for prediction and classification, respectively, when trained and tested on a Dutch Residential Energy Dataset. This work seeks to provide a cost‐effective approach to the optimisation of energy using steady state active power features. Essentially, the adoption of this non‐intrusive technique for load monitoring would effectively aid customers on the distribution network save cost on energy bills, facilitate the detection of faulty appliances, provide recommendations for smart homes and buildings with the required information for efficient decision making and planning of energy needs. In the long term, easing the pressure on power generation to meet demand would translate to reduction in carbon emissions based on a wide‐scale implementation of this proposed system. Hence, these are important parameters in realising the development of smart sustainable cities and sustainable energy systems in this current industrial revolution.
Évaluation à six mois de l’impact d’une formation multimodale et séquentielle à l’empathie des étudiants de second cycle d’études médicales
Authors: Retornaz Chloé , Buffel du Vaure Céline , Piot Marie Aude , Jaunay Louis-Baptiste , Jaury Philippe 
Published: January 2024

Contexte : L’empathie du médecin influence positivement la santé des patients mais un déclin au début des stages cliniques a été constaté dans la majorité des études. Des interventions spécifiques sont mises au point pour y remédier. Objectif : Cette étude longitudinale a pour but d’évaluer l’évolution de l’empathie d’étudiants français en quatrième année des études médicales après une formation intégrative à la relation thérapeutique comprenant des cours théoriques, des groupes Balint, des jeux de rôle et des examens cliniques objectifs structurés avec patients standardisés. Méthodes : Les niveaux d’empathie ont été mesurés avec la version française de la Jefferson Scale of Physician Empathy − Medical Student (JSPE-MS) au début et à la fin de l’enseignement, puis six mois plus tard. L’étude a été effectuée sur les données appariées de 110 étudiants. Le critère de jugement principal est la différence des scores moyens obtenus à la JSPE-MS entre les trois temps d’évaluation. Les analyses ont été faites par tests de Student pour données appariées. Résultats : Les résultats sur la cohorte appariée indiquent que l’empathie des étudiants en médecine ayant suivi la formation et répondu à l’étude n’a pas changé de manière significative pendant la quatrième année et les six mois qui ont suivi. Conclusion : Une formation intégrative à la relation thérapeutique, dispensée en même temps que les premiers stages cliniques, peut contribuer à préserver l’empathie clinique. Ces résultats viennent renforcer l’intérêt d’une formation multimodale et séquentielle pour l’apprentissage de l’empathie des étudiants en médecine.
Liver-Directed Therapy Combined with Systemic Therapy: Current Status and Future Directions
Authors: Young Shamar , Hannallah Jack , Goldberg Dan , Khreiss Mohammad , Shroff Rachna , Arshad Junaid , Scott Aaron , Woodhead Gregory 
Published: January 2024

AbstractIn the past several decades, major advances in both systemic and locoregional therapies have been made for many cancer patients. This has led to modern cancer treatment algorithms frequently calling for active interventions by multiple subspecialists at the same time. One of the areas where this can be clearly seen is the concomitant use of locoregional and systemic therapies in patients with primary or secondary cancers of the liver. These combined algorithms have gained favor over the last decade and are largely focused on the allure of the combined ability to control systemic disease while at the same time addressing refractory/resistant clonal populations. While the general concept has gained favor and is likely to only increase in popularity with the continued establishment of viable immunotherapy treatments, for many patients questions remain. Lingering concerns over the increase in toxicity when combining treatment methods, patient selection, and sequencing remain for multiple cancer patient populations. While further work remains, some of these questions have been addressed in the literature. This article reviews the available data on three commonly treated primary and secondary cancers of the liver, namely, hepatocellular carcinoma, cholangiocarcinoma, and metastatic colorectal cancer. Furthermore, strengths and weaknesses are reviewed and future directions are discussed.
Chemoembolization Plus Ablation: Current Status
Authors: Dadrass Farnaz , Acree Pascal , Kim Edward 
Published: January 2024

AbstractHepatocellular carcinoma (HCC) is a leading cause of cancer-related death worldwide. The treatment landscape for HCC has evolved significantly over the past decade, with several modalities available to treat various stages of disease. The Barcelona Clinic Liver Cancer (BCLC) system provides a foundation for treatment guidance. However, given the complex nature of HCC, a more nuanced approach is often required, especially for lesions sized between 3 and 5 cm. This review aims to analyze the available treatments for early-stage HCC lesions between 3 and 5 cm, with a focus on the therapeutic potential and efficacy of transarterial chemoembolization (TACE)–ablation. Additional therapies including TACE, ablation, transarterial radioembolization, and surgical resection are also reviewed and compared with TACE–ablation. TACE–ablation is a viable therapeutic option for early-stage HCC lesions between 3 and 5 cm. Surgical resection remains the gold standard. Although recent studies suggest radiation segmentectomy may be a curative approach for this patient population, further studies are needed to compare the relative efficacies between TACE–ablation and radiation segmentectomy.
Thermal Ablation in the Liver: Heat versus Cold—What Is the Role of Cryoablation?
Authors: D'Souza Donna L. , Ragulojan Ranjan , Guo Chunxiao , Dale Connie M. , Jones Christopher J. , Talaie Reza 
Published: January 2024

AbstractCryoablation is commonly used in the kidney, lung, breast, and soft tissue, but is an uncommon choice in the liver where radiofrequency ablation (RFA) and microwave ablation (MWA) predominate. This is in part for historical reasons due to serious complications that occurred with open hepatic cryoablation using early technology. More current technology combined with image-guided percutaneous approaches has ameliorated these issues and allowed cryoablation to become a safe and effective thermal ablation modality for treating liver tumors. Cryoablation has several advantages over RFA and MWA including the ability to visualize the ice ball, minimal procedural pain, and strong immunomodulatory effects. This article will review the current literature on cryoablation of primary and secondary liver tumors, with a focus on efficacy, safety, and immunogenic potential. Clinical scenarios when it may be more beneficial to use cryoablation over heat-based ablation in the liver, as well as directions for future research, will also be discussed.
Outcomes after Embolization in Pediatric Abdominal Solid Organ Injury: A Trauma Center Experience
Authors: Gowda Samarth , Ghosh Tushar , Rajagopal Rengarajan , Garg Pawan , Khera Pushpinder , Sinha Arvind , Yadav Taruna 
Published: January 2024

Abstract
Background Trauma is a significant cause of morbidity and mortality worldwide among children. Nonoperative management is the standard of care in hemodynamically stable children with blunt abdominal solid organ injury. Embolization is a potential pathway, which has shown increasing evidence for benefit in adult trauma patients. However, the data in children is limited.
Materials and Methods A retrospective analysis of hospital data of all children (<18 years of age), presenting to a tertiary-care trauma center in India, with history of blunt trauma from January 2021 to June 2023, was performed. Preprocedural imaging, angiographic and embolization details, number of blood transfusions, and length of hospital stay were assessed.
Results Two hundred and sixteen children (average age: 11.65 years) presented with a history of abdominal trauma during the study period. Eighty four children were FAST positive, out of whom, 67 patients had abdominal solid organ injury on computed tomography. Liver was the most commonly injured solid organ (n = 45), followed by the spleen and kidney. Ten children had solid abdominal organ arterial injuries for which eight children underwent embolization. The average length of hospital stay in embolization group (n = 8) was 4 days, as compared to 11 days in children undergoing operative management (n = 2). At 6 months follow-up, all children were asymptomatic.
Conclusion Superselective embolization is a safe and feasible procedure in appropriately selected children with abdominal injury.
Development of a large flow electro-hydrostatic actuator equipped with four magnetostrictive-actuated pumps
Authors: Zhang Mingming , Zhu Yuchuan , Ge Shenghong , Ling Jie 
Published: January 2024

With the advantages of high energy density, high accuracy, and fast response, smart material-driven electro-hydrostatic actuators (SMEHAs) have attracted significant attention in recent years. However, the low flow rate of SMEHAs constrains their application. One potential solution to enhance the flow rate is to increase the number of smart material-actuated pumps. In view of this, this paper proposes a new configuration of an electro-hydrostatic actuator equipped with four magnetostrictive-actuated pumps (FMEHA) to achieve a large flow rate. The mathematical model of the FMEHA is established to investigate the driving phase matching between pumps and the active flow distribution valve. The physical prototype of FMEHA is fabricated. Simulations and experiments are conducted to assess its performance under various driving parameters, including the number of pumps, driving phase, frequency, and amplitude. The optimal driving parameters for the FMEHA are determined based on the results obtained. Experimental findings demonstrate that with a driving phase of 340°, a frequency of 250 Hz, and an amplitude of 20 A, the FMEHA achieves a maximum flow rate of 6.2 l/min.
Vibrational mode-specificity in the dynamics of the OH− + CH3I multi-channel reaction
Authors: Tasi Domonkos A. , Czakó Gábor 
Published: January 2024

We report a comprehensive characterization of the vibrational mode-specific dynamics of the OH− + CH3I reaction. Quasi-classical trajectory simulations are performed at four different collision energies on our previously-developed full-dimensional high-level ab initio potential energy surface in order to examine the impact of four different normal-mode excitations in the reactants. Considering the 11 possible pathways of OH− + CH3I, pronounced mode-specificity is observed in reactivity: In general, the excitations of the OH− stretching and CH stretching exert the greatest influence on the channels. For the SN2 and proton-abstraction products, the reactant initial attack angle and the product scattering angle distributions do not show major mode-specific features, except for SN2 at higher collision energies, where forward scattering is promoted by the CI stretching and CH stretching excitations. The post-reaction energy flow is also examined for SN2 and proton abstraction, and it is unveiled that the excess vibrational excitation energies rather transfer into the product vibrational energy because the translational and rotational energy distributions of the products do not represent significant mode-specificity. Moreover, in the course of proton abstraction, the surplus vibrational energy in the OH− reactant mostly remains in the H2O product owing to the prevailing dominance of the direct stripping mechanism.
Long-distance dispersal of the endangered Pacific nurse shark (Ginglymostoma unami, Orectolobiformes) in Costa Rica revealed through acoustic telemetry
Authors: Madrigal-Mora Sergio , Chávez Elpis J. , Arauz Randall , Lowe Christopher G. , Espinoza Mario 
Published: January 2024

Long-distance movements associated with environmental and ecological drivers are common in a wide array of mobile marine species. Understanding such movements and associated drivers is particularly important for management and conservation of threatened species, which may be exposed to anthropogenic threats throughout their range. Pacific nurse sharks (Ginglymostoma unami) are endangered because of their interactions with fisheries and a lack of biological knowledge as a recently described species. Little is known about this species’ movements throughout its broad distribution in the tropical Pacific coast of Latin America. Using passive acoustic telemetry, we report the longest ranging movement so far observed for Pacific nurse sharks. A male individual, measuring 176-cm total length at the time of tagging, travelled over 390 km within 46 days along the North Pacific coastline of Costa Rica. These findings highlight the importance of collaboration and data exchange among researchers to enable monitoring of broader geographical ranges and provide critical insight into the movement capabilities of this endangered species. Defining marine corridors and identifying essential habitats for Pacific nurse sharks may be necessary to mitigate fishing-related impacts if these longer distance movements are common across their population.
Photoionization cross sections of Ethylene oxide
Authors: Fófano Jhenifer M H , H Ribas Mylena , Fujimoto Milton M 
Published: January 2024

Abstract
In this work a theoretical study for photoionization of Ethylene oxide is presented. The photoionization cross section (PICS) for each of the nine valence orbitals and also the summed cross sections are presented. Electronic structure calculations are done to obtain the required molecular properties and the Variational Schwinger method with Padé approximants is used to calculate the PICS. The results are shown in four different approaches: dipole-length/velocity form, static-exchange and static-exchange-polarization levels. The partial PICS for each orbital shows which symmetries of continuum states are responsible for resonance features and how the polarization effects affect the cross sections magnitudes near the threshold. PICS calculations indicate which parent ion state is generated according to the corresponding ionization energies. A correlation is proposed suggesting that the different ionic fragments can be preferentially produced by different electronic states of the parent ion, based on their ionic fragment appearance energies. The summed cross section of all valence orbitals of Ethylene oxide is compared with the results of Acetaldehyde and the analysis suggests that the PICSs, in a given energy range, can be used to identify these isomers. A comparison of our results for EtO and Acetaldehyde with available experimental results for Acetaldehyde and Ethenol demonstrated the the results of three isomers are similar in magnitude in the energy range from 9 to 12 eV. Furthermore, for acetaldehyde, we observed quantitative agreement with the experiment, indicating the reliability of our calculations.
An individual-based model to explore the impact of psychological stress on immune infiltration into tumour spheroids
Authors: Leschiera Emma , Al-Hity Gheed , Flint Melanie S , Venkataraman Chandrasekhar , Lorenzi Tommaso , Almeida Luis , Audebert Chloe 
Published: January 2024

Abstract
In recent in vitro experiments on co-culture between breast tumour spheroids and activated immune cells, it was observed that the introduction of the stress hormone cortisol resulted in a decreased immune cell infiltration into the spheroids. Moreover, the presence of cortisol deregulated the normal levels of the pro- and anti-inflammatory cytokines IFN-γ and IL-10. We present an individual-based model to explore the interaction dynamics between tumour and immune cells under psychological stress conditions. With our model, we explore the processes underlying the emergence of different levels of immune infiltration, with particular focus on the biological mechanisms regulated by IFN-γ and IL-10. The set-up of numerical simulations is defined to mimic the scenarios considered in the experimental study. Similarly to the experimental quantitative analysis, we compute a score that quantifies the level of immune cell infiltration into the tumour. The results of numerical simulations indicate that the motility of immune cells, their capability to infiltrate through tumour cells, their growth rate and the interplay between these cell parameters can affect the level of immune cell infiltration in different ways. Ultimately, numerical simulations of this model support a deeper understanding of the impact of biological stress-induced mechanisms on immune infiltration.
A public-key quantum group blind signature scheme based on single-qubit rotations
Authors: Tian Fuyao , Lu Dianjun , Wang Chengxiang , Yao Weixin 
Published: January 2024

Abstract
With the continuous development of quantum technology, the quantum signature as an application of quantum cryptography has received great attention. In this paper, we propose a public-key quantum group blind signature scheme based on single-qubit rotations. In this scheme, the group manager generates a public key. Each group member randomly generates his own private key according to the public key. The signer uses his private key and random sequence to generate the signature. The verifier uses the public key to verify the correctness of the quantum signature. The public and private keys can be reused, which simplifies the key management of the signature system. In this scheme, the random sequence is used to enhance the security of the scheme. At the same time, the quantum efficiency is improved by using single-qubit rotations. The security analysis shows that our scheme can ensure the security of the keys, the unforgeability and the non-deniability of the signature.
What are we really decoding? Unveiling biases in EEG-based decoding of the spatial focus of auditory attention
Authors: Rotaru Iustina , Geirnaert Simon , Heintz Nicolas , Van de Ryck Iris , Bertrand Alexander , Francart Tom 
Published: January 2024

Abstract

Objective. Spatial auditory attention decoding (Sp-AAD) refers to the task of identifying the direction of the speaker to which a person is attending in a multi-talker setting, based on the listener’s neural recordings, e.g. electroencephalography (EEG). The goal of this study is to thoroughly investigate potential biases when training such Sp-AAD decoders on EEG data, particularly eye-gaze biases and latent trial-dependent confounds, which may result in Sp-AAD models that decode eye-gaze or trial-specific fingerprints rather than spatial auditory attention. Approach. We designed a two-speaker audiovisual Sp-AAD protocol in which the spatial auditory and visual attention were enforced to be either congruent or incongruent, and we recorded EEG data from sixteen participants undergoing several trials recorded at distinct timepoints. We trained a simple linear model for Sp-AAD based on common spatial patterns filters in combination with either linear discriminant analysis (LDA) or k-means clustering, and evaluated them both across- and within-trial. Main results. We found that even a simple linear Sp-AAD model is susceptible to overfitting to confounding signal patterns such as eye-gaze and trial fingerprints (e.g. due to feature shifts across trials), resulting in artificially high decoding accuracies. Furthermore, we found that changes in the EEG signal statistics across trials deteriorate the trial generalization of the classifier, even when the latter is retrained on the test trial with an unsupervised algorithm. Significance. Collectively, our findings confirm that there exist subtle biases and confounds that can strongly interfere with the decoding of spatial auditory attention from EEG. It is expected that more complicated non-linear models based on deep neural networks, which are often used for Sp-AAD, are even more vulnerable to such biases. Future work should perform experiments and model evaluations that avoid and/or control for such biases in Sp-AAD tasks.