bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consensus statement on renal denervation by the Joint Committee of Japanese Society of Hypertension (JSH), Japanese Association of Cardiovascular Intervention and Therapeutics (CVIT), and the Japanese Circulation Society (JCS)
Authors: Kario Kazuomi , Kai Hisashi , Rakugi Hiromi , Hoshide Satoshi , Node Koichi , Maekawa Yuichiro , Tsutsui Hiroyuki , Sakata Yasushi , Aoki Jiro , Nanto Shinsuke , Yokoi Hiroyoshi 
Published: July 2024

Abstract
This is the first consensus statement of the Joint Committee on Renal Denervation of the Japanese Society of Hypertension (JSH)/Japanese Association of Cardiovascular Intervention and Therapeutics (CVIT)/Japanese Circulation Society (JCS). The consensus is that the indication for renal denervation (RDN) is resistant hypertension or “conditioned” uncontrolled hypertension, with high office and out-of-office blood pressure (BP) readings despite appropriate lifestyle modification and antihypertensive drug therapy. “Conditioned” uncontrolled hypertension is defined as having one of the following: 1) inability to up-titrate antihypertensive medication due to side effects, the presence of complications, or reduced quality of life. This includes patients who are intolerant of antihypertensive drugs; or 2) comorbidity at high cardiovascular risk due to increased sympathetic nerve activity, such as orthostatic hypertension, morning hypertension, nocturnal hypertension, or sleep apnea (unable to use continuous positive airway pressure), atrial fibrillation, ventricular arrythmia, or heart failure. RDN should be performed by the multidisciplinary Hypertension Renal Denervation Treatment (HRT) team, led by specialists in hypertension, cardiovascular intervention and cardiology, in specialized centers validated by JSH, CVIT, and JCS. The HRT team reviews lifestyle modifications and medication, and the patient profile, then determines the presence of an indication of RDN based on shared decision making with each patient. Once approval for real-world clinical use in Japan, however, the joint RDN committee will update the indication and treatment implementation guidance as appropriate (annually if necessary) based on future real-world evidence.

Graphical Abstract
Functional properties of food packaging solutions alternative to conventional multilayer systems
Authors: Mengozzi Anna , Carullo Daniele , Bot Francesca , Farris Stefano , Chiavaro Emma 
Published: July 2024

Abstract
This study aimed to investigate the most important functional properties of multilayer and alternative packaging with improved sustainability specifically used for modified atmosphere (MAP) and chilled food products. A multilayer material with a thickness reduction, mono-PET, paper/PE-EVOH-PE, and a biopolymer for trays, together with a SiOx-coated PET, and a cellulose/PLA-based for lids were analyzed for their optical, tensile, and gas-vapor barrier properties, which were compared to those of conventional trays/lids (PET-EVOH-PE multilayer structures). All the alternative solutions showed good UV-light screening ability, together with high transparency in the visible range, and tensile properties greater than those displayed by conventional configurations. Lid alternative materials exhibited a significantly higher performance in terms of oxygen and water vapor barrier properties as compared to that displayed by conventional counterparts. The tray alternative solutions performed better than the conventional ones against CO2 and O2 permeation, with values lower than the detection limit of the instrument (0.01 cm3 m− 2 day− 1 and 0.25 cm3 m− 2 day− 1 for O2 and CO2, respectively). This study demonstrated the high potential of alternative packaging in replacing the current materials intended for storing highly perishable foods stored under MAP and cold storage.
LCC-based approach for design and requirement specification for railway track system
Authors: Famurewa Stephen , Kirilmaz Elias , Chamkhorami Khosro Soleimani , Kasraei Ahmad , Garmabaki A. H. S. 
Published: July 2024

AbstractLife cycle cost (LCC) analysis is an important tool for effective infrastructure management. It is an essential decision support methodology for selection, design, development, construction, maintenance and renewal of railway infrastructure system. Effective implementation of LCC analysis will assure cost-effective operation of railways from both investment and life-cycle perspectives. A major setback in the successful implementation of LCC analysis by infrastructure managers is the availability of relevant, reliable, and structured data. Different cost estimation methods and prediction models have been developed to deal with this challenge. However, there is a need to include condition degradation models as an integral part of LCC model to account for possible changes in the model variables. This article presents an approach for integrating degradation models with LCC model to study the impact of change in design speed on key decision criteria such as track possession time, service life of track system, and LCC. The methodology is applied to an ongoing railway investment project in Sweden to investigate and quantify the impact of design speed change from 250 to 320 km/h. The results of the studied degradation models show that the intended change in speed corresponds to correction factor values between 0.79 and 0.96. Using this correction factor to compensate for changes in design speed, the service life of ballasted track system is estimated to decrease by an average of 15%. Further, the expected value of LCC for the route under consideration will increase by 30%. The outcome of this study will be used to support the design and requirement specification of railway track system for the project under consideration.
Photoplethysmography-based non-invasive blood pressure monitoring via ensemble model and imbalanced dataset processing
Authors: Liu Qianyu , Yang Chaojie , Yang Sen , Kwong Chiew Foong , Wang Jing , Zhou Ning 
Published: July 2024

AbstractPhotoplethysmography, a widely embraced tool for non-invasive blood pressure (BP) monitoring, has demonstrated potential in BP prediction, especially when machine learning techniques are involved. However, predictions with a singular model often fall short in terms of accuracy. In order to counter this issue, we propose an innovative ensemble model that utilizes Light Gradient Boosting Machine (LightGBM) as the base estimator for predicting systolic and diastolic BP. This study included 115 women and 104 men, with experimental results indicating mean absolute errors of 5.63 mmHg and 9.36 mmHg for diastolic and systolic BP, in line with level B and C standards set by the British Hypertension Society. Additionally, our research confronts data imbalance in medical research which can detrimentally affect classification. Here we demonstrate an effective use for the Synthetic Minority Over-sampling Technique (SMOTE) with three nearest neighbors for handling moderate imbalanced datasets. The application of this method outperformed other methods in the field, achieving an F1 score of 81.6% and an AUC value of 0.895, emphasizing the potential value of SMOTE for addressing imbalanced datasets in medical research.
Modified Vector-Controlled DFIG Wind Energy System Using Robust Model Predictive Rotor Current Control
Authors: Achar Abdelkader , Djeriri Youcef , Benbouhenni Habib , Bouddou Riyadh , Elbarbary Z. M. S. 
Published: July 2024

AbstractAs wind energy (WE) technologies become more prevalent, there are significant concerns about the electrical grid’s stability. Despite their many advantages, a WE system based on a doubly fed induction generator is vulnerable to power grid disruptions. Due to being built on traditional controllers, the generator systems with standard vector control (VC) cannot resist disturbances. This paper seeks to provide a novel VC that is resistant to outer perturbations. For this purpose, a finite state space model predictive control (FS-MPC) is utilized instead of the internal current loop of the standard VC. The objective of the proposed system is to minimize the error between the measured currents and their reference values and, also, reduces the total harmonic distortion (THD) of the current. The cost function can optimize this requirement, which reduces the computation time. The VC-FS-MPC was implemented using the MATLAB, where a 1.5-MW generator operating under different conditions was used. The necessary graphical and numerical results were extracted to show the efficiency, effectiveness, and ability of the VC-FS-MPC to improve the characteristics of the studied energy system. The results show the flexibility and distinctive performance of the VC-FS-MPC in the various tests used, as the THD of stator current was reduced in the second test compared to the first test by an estimated percentage of 61.79%. Moreover, the THD of rotor current was reduced compared to the first test by an estimated percentage of 23.56%. These ratios confirm the effectiveness of the VC-FS-MPC in improving the characteristics of the proposed system.
Supporting students with English as an additional language during emergency remote teaching: a Q methodology study
Authors: Bonar Gary , Slaughter Yvette , Keary Anne , Davies Tanya 
Published: July 2024

AbstractStudents with English as an additional language (EAL) comprise approximately a third of the government school population in Australia’s second most populous state of Victoria. While the broad impact of the COVID-19 pandemic on teachers and students has been the focus of recent studies, there is a lack of information on how EAL educators adapted to meet the needs of this diverse cohort of students during periods of emergency remote teaching (ERT). In this mixed-methods study, eleven EAL educators from diverse educational contexts in Victoria completed a Q-sort of 49 statements followed by in-depth interviews. The by-person factor analysis resulted in a three-factor solution that revealed the transition to remote learning during the COVID-19 pandemic brought both challenges and opportunities for EAL educators. Some students who struggled in traditional classrooms engaged more effectively in remote learning, while others experienced significant anxiety. Additionally, some educators experimented with digital tools and strategies, gaining valuable insights into effective approaches for students with EAL. These findings render a nuanced picture of educators’ experiences during this time, enhancing our understanding of transformative educational practices for linguistically diverse students.
Microbial biomass production from enzymatically saccharified organic municipal waste and present microbial inhibitors
Authors: Rudnyckyj Stanislav , Chaturvedi Tanmay , Thomsen Mette Hedegaard 
Published: July 2024

AbstractThe study investigated the potential of the organic fraction of municipal solid waste (OFMSW) for microbial biomass production. The compositional analysis of OFMSW showed richness in sugars, proteins, lipids, organic acids, and ethanol, suggesting promising cheap cultivation feedstock if inhibitory compounds are sustainably detoxified. The enzymatic hydrolysis with Cellic® CTec3 and AMG® 300 L BrewQ (Novozymes A/S) demonstrated excellent saccharification of sugar polymer, reaching 92% glucan hydrolysis and 70% xylan hydrolysis. However, higher enzymatic dosages led to a rise in the total organic acids content, potentially causing increased microbial inhibition. Full hydrolysate and hydrolysate after solids removal were cultivated with seven robust microbial strains. Cultivation on hydrolysate with solids showed consumption of sugars and organic acids solely by commercial backer yeast Saccharomyces cerevisiae. Removal of solids from hydrolysate resulted in increased performance of tested strains, showing consumption of measured organic acids and ethanol by S. cerevisiae, Yarrowia lipolytica DSM 8218, and Cutaneotrichosporon oleaginosus ATCC 20509. Remarkably, the investigation of biomass production revealed superior cell mass formation and detoxification by S. cerevisiae, resulting in 18.9 g of biomass/L hydrolysate with 50% of crude protein (w/w) in shake flasks and 13.2 g/L of hydrolase with 46% of crude protein (w/w) in a 5-L bioreactor. Furthermore, bioreactor cultivation confirmed organic acids and ethanol conversion into biomass, highlighting S. cerevisiae’s suitability for utilizing OFMSW for microbial biomass production. These findings contribute to advancements in biowaste-to-fodder conversion, promoting the development of a more sustainable circular economy.
Graphical abstract
Assessing Play in Children Developing with Delays: A Scoping Review
Authors: Medeiros Haley V. , Lifter Karin , Goodwin Grace , Antonelli Robert 
Published: July 2024

AbstractResearch demonstrates children developing with delays evidence less elaborated play than children developing typically, but methodology for evaluating play is inconsistent. This scoping review reports clinical populations studied and categorical terms used categorizing object play, and compares these categories with a contemporary comprehensive analysis of children’s play. Thirty-four peer-reviewed articles were analyzed for characteristics, definitions, origins, and differentiation of play category descriptions, and comparison to the 21 categories identified in our study of children’s play from 8 to 60 months (Lifter et al., Acta Psychologica 224:103524, 2022). Findings indicated categories across studies tended to overlap with several of the 21 categories, suggesting widely used categories do not capture nuances in play development. Increased standardization and specificity in play assessment can improve interventions to benefit children developing with delays.
From Early to Recent Models: A Review of the Evolution of Road Traffic and Single Vehicles Noise Emission Modelling
Authors: Guarnaccia Claudio , Mascolo Aurora , Aumond Pierre , Can Arnaud , Rossi Domenico 
Published: July 2024

Abstract
Purpose of the Review
This paper is devoted to the review of the most popular literature Road Traffic Noise Models (RTNMs) frameworks, from the oldest ones to the recent machine learning techniques. A dedicated section is reserved to the review of Noise Emission Models (NEMs), with specific focus on approaches that allow the assessment of single vehicles’ emissions. Finally, some propagation models are also briefly presented, along with the assessment of the impact on the population of road traffic noise, in terms of time-averaged indicators and exposure descriptors.

Recent Findings
In recent years, many efforts have been devoted to developing methods and models to assess the impact of environmental noise. Considering the primary role of road traffic as a noise source, estimating its impact is fundamental when evaluating the acoustic environment of a specific urban area. The scope of RTNMs is to provide an assessment of the noise emitted by the source in terms of traffic flows, propagate it at any desired point, including possible corrective factors, assess the impact at the receiver, and use this information to provide maps and other useful outputs.

Summary
This review summarizes the so-far developed approaches for road traffic noise evaluation and furthermore underscores the ongoing necessity for research to develop more precise tools useful for managing road traffic noise’s adverse effects on urban environments and public well-being. Challenges and limitations of such models are discussed in the conclusions, highlighting the need for providing high quality input data and avoiding site-dependent approaches.
The Impact of Rotation and Inclined Load on a Nonlocal Fiber-Reinforced Thermoelastic Half-space via Simple-phase-lag Model
Authors: Said Samia M. 
Published: July 2024

Abstract
Purpose
The purpose of the present study is to discuss the impacts of rotation, inclined load, nonlocal parameter, and an empirical material constant on various physical variables of a fiber-reinforced thermoelastic medium.

Methods
The present problem was studied using the simple phase-lags (DPL) model. Using normal mode analysis, the precise expressions for the temperature, stress, and displacement components are found.

Results
Matlab software is used to do numerical computations. Comparisons are done between the outcomes obtained and those expected for various nonlocal parameter values, rotation, an empirical material constant, and inclined load.

Conclusion
The nonlocal parameter and rotation play a big part in how the physical fields are distributed. The distributions of the physical fields are significantly influenced by the inclined load and an empirical material constant.
Approximate rationality and ideal rationality
Authors: Zhang Snow 
Published: July 2024

Abstract
According to approximate Bayesianism, Bayesian norms are ideal norms worthy of approximation for non-ideal agents. This paper discusses one potential challenge for approximate Bayesianism: in non-transparent learning situations—situations where the agent does not learn what they have or have not learnt—it is unclear that the Bayesian norms are worth satisfying, let alone approximating. I discuss two replies to this challenge and find neither satisfactory. I suggest that what transpires is a general tension between approximate Bayesianism and the possibility of “non-ideal” epistemic situations.
Imperceptible backdoor watermarks for speech recognition model copyright protection
Authors: Liao Junpei , Yi Liang , Shi Wenxin , Yang Wenyuan , Fang Yanmei , Yang Xin 
Published: July 2024

AbstractAs the demand for shared pre-trained deep neural network models continues to rise, safeguarding the intellectual property of models is also increasingly significant. While existing studies predominantly concentrate on protecting pre-trained image recognition models, limited research covers pre-trained speech recognition models. In this paper, we propose the black-box watermark method to authenticate the ownership of speech recognition models. This method can mitigate the risk of unauthorized AI services being created by attackers who gain access to the pre-trained model. Accordingly, we present three watermarking methods: Gaussian noise watermark, extreme frequency Gaussian noise watermark, and unrelated audio watermark. These generated watermarks, embedded into models through training or fine-tuning, exhibit remarkable fidelity and effectiveness, backed by rigorous experimental validation. Furthermore, our experiments reveal that the extreme frequency noise backdoor enhances the robustness of the watermark compared to the Gaussian noise and unrelated audio watermark.
Impact of the partial substitution of cement and sand by ash from several types of wood species in cementitious materials manufacture: valorization in the industrial field
Authors: Tiegoum Wembe Japhet , Mambou Ngueyep Luc Leroy , Elat Emmanuel , Fotseu Miyo Christian Dupont , Hamadou Aboubakary , Ndjaka Jean-Marie Bienvenu , Noumowe Albert 
Published: July 2024

AbstractThe main objective of this article is to evaluate the potential use of wood ash as a substitute for cement and sand in mortars. Three types of wood were selected: Ayous, Sapelli and Fraké, all of which were sourced from carpentry in Cameroon. The sawdust was dried and combusted to obtain ash, then ground and sieved. Six types of mortar were produced, with cement substitution at 0%, 5%, 10%, 15%, 20% and 25%. The physico-mechanical properties of these substitutions were determined after 7, 28 and 56 days. The results of the cement paste consistency show that it increases with the addition of ash, due to the fact that sawdust ash requires a large quantity of water. The addition of ash caused an increase in setting time due to the fact that sawdust ash is less reactive than Ordinary Portland cement, resulting in a delay in the rate of cement hydration. Apparent density values decreased with the addition of sawdust ash, probably due to the hygroscopic behavior of type of ash in mortar specimens. The highest pozzolanic index is that of 5% replacement by ash and almost identical absorption for all mortars at this substitution percentage. Acid attack results revealed a higher durability of mortar specimens with the higher percentage of ash substitution. Optimum compressive strengths for the different substitution percentages were observed at 5%, 15% and 10% respectively for Ayous, Sapelli and Fraké. The best wood ash is Sapelli because of its chemical composition and resistance to compression in mortars. At 56 days, compressive strength values exceed those of the reference composition. This may be due to pozzolanic reactions in the mortars of ash.
Volumetric and ultrasonic studies of molecular interactions in binary mixtures of N,N-dimethylacetamide with some polyethylene glycols at temperatures from 293.15 to 323.15 K
Authors: Nidhi  , Nain Anil Kumar 
Published: July 2024

AbstractThe intermolecular interactions in N,N-dimethylacetamide (DMA) + polyethylene glycol (PEG) mixtures have been examined from the measurements of the densities, ρ and speeds of sound, u of DMA + PEG 200 or PEG 300 or PEG 400 or PEG 600 mixtures over the entire mole fraction range at temperatures, T = (293.15–323.15) K and atmospheric pressure. Various excess parameters, viz., excess molar volume, excess isentropic compressibility, excess intermolecular free length, excess speed of sound, excess molar isentropic compressibility and excess acoustic impedance were evaluated using measured data. These excess properties were correlated with the Redlich–Kister equation. In addition, the partial molar volume and compressibility; excess partial molar volume and compressibility of the components over the entire composition range; and partial molar volume and compressibility and excess partial molar volume and compressibility of the components at infinite dilution have also been calculated. These evaluated parameters have been interpreted by means of prevailing intermolecular interactions in these mixtures. The presence of strong intermolecular interactions among DMA and PEG molecules have been revealed from the evaluated parameters of these mixtures. The speeds of sound were predicted theoretically using scaled particle theory and compared with experimental values. FT-IR spectra of pure DMA, PEG 200 and their equimolar mixtures were also recorded and analysed for better understanding of prevailing intermolecular interaction.
A transoceanic journey: Melanochlamys diomedea's first report in the North Atlantic
Authors: de Montety Laure , Egilsdóttir Svanhildur , Láruson Áki Jarl , Micael Joana , Gíslason Sindri 
Published: July 2024

Abstract
Egg masses from an unknown mollusc have been found in South-West Iceland since 2020, but it was not until September 2023 that the adult organism was collected. Morphological analysis of both adults and egg masses pointed towards the identification of the species as Melanochlamys diomedea. This was further confirmed through DNA analyses using COI, H3, and 16S rRNA markers, which established the presence of a new non-indigenous species in the North Atlantic. Members of the genus Melanochlamys have predominantly been found in the Indo-Pacific basin and the Pacific Ocean, with only one species known to exist across the Madeira Islands, Canary Islands, and Cape Verde in the Atlantic. The known distribution range of M. diomedea extends from Alaska to California on the Pacific side of North America, where it typically inhabits sandy-muddy areas of the littoral in the tidal zone and below. It is not known how the species arrived in Iceland. However, maritime transport through either ballast water or biofouling is being considered as the most likely mode of dispersal.