bluuebunny/crossref_metadata_2025_split huggingface dataset:
Foliar application of diethyl aminoethyl hexanoate (DA‐6) alleviated summer bentgrass decline and heat damage to creeping bentgrass
Authors: Li Zhou , Zhou Min , Qi Hongyin , Cheng Bizhen , Hassan Muhammad Jawad 
Published: January 2024

AbstractCreeping bentgrass (Agrostis stolonifera) is sensitive to supra‐optimal temperature, which makes summer bentgrass decline (SBD) a main conundrum troubling turf manager. Diethyl aminoethyl hexanoate (DA‐6) is an artificial and bioactive plant growth regulator affecting tolerance to various abiotic stresses. It is commercially available for field application due to multiple advantages such as low cost, environmentally friendly compound, and sustainable effect. However, the positive effect and mechanism of DA‐6‐mediated heat tolerance in cool‐season grass species and SBD are not yet been explored. Objectives of the study were to screen the optimal dose of DA‐6 for improvement in thermotolerance and to investigate roles of DA‐6 in regulating photosynthesis, osmotic balance, and antioxidant homeostasis in two creeping bentgrass cultivars (heat‐tolerant 13 M and heat‐sensitive Seaside II) in controlled heat condition. Summer heat tolerance induced by the DA‐6 was further evaluated for 2 years under field conditions in a subtropical zone. Results demonstrated that the optimal dose of DA‐6 was screened as 0.1 mM based on analyses of chlorophyll content, photochemical efficiency, and cell membrane stability under heat stress. Foliar application of DA‐6 significantly alleviated heat‐induced leaf senescence by improving photosynthetic performance, accumulation of sugars (sucrose, fructose, and glucose) for osmotic homeostasis, and total antioxidant capacity for reactive oxygen species scavenging in the two cultivars. A 2‐year field test was further carried out to demonstrate that turf quality of the two cultivars was significantly improved after being treated by foliar DA‐6 during hot summer months in 2020 and 2021. Current findings suggested that DA‐6‐mediated thermo‐resistant mechanism was associated with photosynthesis, osmotic adjustment, and antioxidant in cool‐season grass species. Foliar application of DA‐6 could be a cheap, effective, and environmentally friendly strategy to alleviate SBD.
Structure‐Property Relationships of Hydrogel‐based Atmospheric Water Harvesting Systems
Authors: Feng An , Shi Yihan , Onggowarsito Casey , Zhang Xin Stella , Mao Shudi , Johir Muhammed A.H. , Fu Qiang , Nghiem Long D. 
Published: January 2024

AbstractAtmospheric water harvesting (AWH) is considered one of the promising technologies to alleviate the uneven‐distribution of water resources and water scarcity in arid regions of the world. Hydrogel‐based AWH materials are currently attracting increasing attention due to their low cost, high energy efficiency and simple preparation. However, there is a knowledge gap in the screening of hydrogel‐based AWH materials in terms of structure‐property relationships, which may increase the cost of trial and error in research and fabrication. In this study, we synthesised a variety of hydrogel‐based AWH materials, characterized their physochemcial properties visualized the electrostatic potential of polymer chains, and ultimately established the structure‐property‐application relationships of polymeric AWH materials. Poly(2‐acrylamido‐2‐methyl‐1‐propanesulfonic acid) (PAMPS) hydrogel is able to achieve an excellent water adsorption capacity of 0.62 g g−1 and a high water desorption efficiency of more than 90 % in relatively low‐moderate humidity environments, which is regarded as one of the polymer materials with potential for future AWH applications.
First‐order universal shadow filter designs with scaled time constants
Authors: Nako Julia , Psychalinos Costas , Minaei Shahram 
Published: January 2024

AbstractFirst‐order generalized filter designs which simultaneously offer implementation of the low‐pass, high‐pass, and all‐pass filters basic functions with scaling of the associated time constant are presented in this work. These have been achieved thanks to the employment of the shadow filtering technique, which enables the utilization of a “hidden filter” for performing scaling of the time constant. The resulting filters offer also a high‐impedance input, and as the outputs are also taken from low‐impedance nodes, there is not any imposed restriction concerning their cascadability. The provided simulation and experimental results confirm the validity of the proposed concept.
High PSR external capacitor‐less LDO with adaptive supply‐ripple cancellation technique
Authors: Xu Siqiu , Xie Chenchen , Chen Houpeng , Li Xi , Song Zhitang 
Published: January 2024

AbstractThis work presents an external capacitor‐less low‐dropout regulator (CL‐LDO) with high power supply rejection (PSR) over a wide frequency and load current (
) range. The high PSR is implemented with an adaptive supply‐ripple cancellation (ASRC) technique. The proposed ASRC circuit consists of a buffer with diode‐connected structure and an adjusting unit. The novel buffer introduces the supply ripple through the diode‐connected transistor to the gate of the pass transistor, enhancing the PSR in the range of 1 MHz. Additionally, the adjusting unit trims the current of the buffer continuously according to the magnitude of
to optimize the PSR adaptively. Designed in a 55 nm CMOS process with an input voltage of 1.4 V, the proposed LDO achieves −69 dB and −55 dB PSR at 100 KHz and 1 MHz for 50 mA of
, respectively. Moreover, the maximum current efficiency of the LDO is 99.8% at a full
of 50 mA.
A quality of service‐aware routing protocol for FANETs
Authors: Malhotra Atul , Kaur Sanmeet 
Published: January 2024

SummaryFlying ad hoc networks (FANETs) are a class of highly dynamic mobile ad hoc networks in which flying UAVs coordinate among themselves for delivering the data to the applications. Data routing in FANETs has been a challenge due to the inherent mobile and unpredictable movement of UAV nodes. This paper proposes a quality of service‐aware routing protocol (QARP) for FANETs which incorporates hybrid nature‐inspired heuristics to identify optimized routes to the destination UAVs. The routing mechanism operates in two phases. In the first phase, the neighbour discovery initializes the adapted firefly algorithm to identify nodes with least packet delivery delay to the destination. In the second phase, the Gaussian quantum‐behaved particle swarm optimization meta‐heuristic algorithm is utilized to identify the most optimal nodes to create a route for data delivery to destination. The proposed protocol has been tested to perform better in terms of delay, routing overhead, throughput and packet delivery ratio in comparison to MA‐DP‐AODV, MDA‐AODV and MDRMA routing protocols.
Genomic data reveal unexpected relatedness between a brown female Eastern Bluebird and her brood
Authors: Schroeder Joseph L. , Worm Alexander J. , Sweet Andrew D. , Rolland Virginie 
Published: January 2024

AbstractBecause plumage coloration is frequently involved in sexual selection, for both male and female mate choice, birds with aberrant plumage should have fewer mating opportunities and thus lower reproductive output. Here we report an Eastern Bluebird (Sialia sialis) female with a brown phenotype that raised a brood of four chicks to fledging. The brown female and her mate were only related to their social offspring to the second degree and one of the offspring was a half‐sibling. We propose four family tree scenarios and discuss their implications (e.g., extra‐pair paternity, conspecific brood parasitism). Regardless of the tree, the brown female was able to find a mate, which may have been facilitated by the bottleneck created by the severe snowstorms in February 2021.
Twelve‐month follow‐up results from the SIRONA 2 clinical trial
Authors: Sharif Faisal , Rosenkranz Stephen , Bartunek Jozef , Kempf Tibor , Aßmus Birgit , Mahon Niall G. , Hiivala Nicholas J. , Mullens Wilfried 
Published: January 2024

AbstractAimsIn the SIRONA 2 trial, the safety and efficacy of pulmonary artery (PA) pressure (PAP)‐guided heart failure (HF) management using a novel PAP sensor were assessed at 30 and 90 days, respectively, and both endpoints were met. The current study examines the prespecified secondary endpoints of safety and accuracy of the PA sensor along with HF hospitalizations and mortality, HF symptoms, functional capacity, quality of life, and patient compliance through 12 months.Methods and resultsSIRONA 2 is a prospective, multi‐centre, open‐label, single‐arm trial evaluating the Cordella™ PA Sensor System in 70 patients with New York Heart Association (NYHA) functional class III HF with a prior HF hospitalization and/or increase of N‐terminal pro‐brain natriuretic peptide within 12 months of enrolment. Sensor accuracy was assessed and compared with measurements obtained by standard right heart catheterization (RHC). Safety was defined as freedom from prespecified adverse events associated with use of the Cordella PA Sensor System and was assessed in all patients who entered the cath lab for PA sensor implant. HF hospitalizations and mortality, HF symptoms, functional capacity, quality of life, and patient compliance were also assessed. At 12 months, there was good agreement between the Cordella PA Sensor System and RHC, with the average difference for mean PAP being 2.9 ± 7.3 mmHg. The device safety profile was excellent with 98.4% freedom from device/system‐related complications. There were no pressure sensor failures. HF hospitalizations and mortality were low with a rate of 0.33 event per patient year. Symptoms as assessed by NYHA (P < 0.0001) and functional capacity as measured by 6 min walk test (P = 0.02) were significantly improved. Patients' adherence to daily transmissions of PAP and vital signs measurements was 95%.ConclusionsLong‐term follow‐up of the SIRONA 2 trial supports the safety and accuracy of the Cordella PA Sensor System in enabling comprehensive HF management in NYHA class III HF patients.
Efficacy and safety of CDR132L in patients with reduced left ventricular ejection fraction after myocardial infarction: Rationale and design of the HF‐REVERT trial
Authors: Bauersachs Johann , Solomon Scott D. , Anker Stefan D. , Antorrena‐Miranda Isabel , Batkai Sandor , Viereck Janika , Rump Steffen , Filippatos Gerasimos , Granzer Ulrich , Ponikowski Piotr , de Boer Rudolf A. , Vardeny Orly , Hauke Wilfried , Thum Thomas 
Published: January 2024

AimInhibition of microRNA (miR)‐132 effectively prevents and reverses adverse cardiac remodelling, making it an attractive heart failure (HF) target. CDR132L, a synthetic antisense oligonucleotide selectively blocking pathologically elevated miR‐132, demonstrated beneficial effects on left ventricular (LV) structure and function in relevant preclinical models, and was safe and well tolerated in a Phase 1b study in stable chronic HF patients. Patients with acute myocardial infarction (MI) and subsequent LV dysfunction and remodelling have limited therapeutic options, and may profit from early CDR132L treatment.MethodsThe HF‐REVERT (Phase 2, multicenter, randomized, parallel, 3‐arm, placebo‐controlled Study to Assess Efficacy and Safety of CDR132L in Patients with Reduced Left Ventricular Ejection Fraction after Myocardial Infarction) evaluates the efficacy and safety of CDR132L in HF patients post‐acute MI (n = 280), comparing the effect of 5 and 10 mg/kg CDR132L, administered as three single intravenous doses 28 days apart, in addition to standard of care. Key inclusion criteria are the diagnosis of acute MI, the development of systolic dysfunction (LV ejection fraction ≤45%) and elevated N‐terminal pro‐B‐type natriuretic peptide. The study consists of a 6‐month double‐blinded treatment period with the primary endpoint LV end‐systolic volume index and relevant secondary endpoints, followed by a 6‐month open‐label observation period.ConclusionThe HF‐REVERT trial may underpin the concept of miR‐132 inhibition to prevent or reverse cardiac remodelling in post‐MI HF. The results will inform the design of subsequent outcome trials to test CDR132L in HF.
Original sin or natural order: Dialogical construction of social knowledge of animal production
Authors: Häkli Timo , Hakoköngäs Eemeli 
Published: January 2024

AbstractThis research examines the public discussion around animal production in Finland. Applying a dialogical approach to social representations theory, we elucidate the hotly debated nature of animal production by analysing news articles (N = 50) and the related reader‐produced comments (N = 1501) in Finnish newspapers. We employed qualitative methods for analysing multivoicedness and dialogue to identify ego–alter pairs constructed in the material in relation to the object of animal production. Four prevalent ego–alter pairs were identified: advocates for animal rights–animal production defenders, producers–consumers, orthodox–unorthodox Christians and provincials–urban dwellers. The study contributes to the study of everyday knowledge by showing how various contradictory understandings of the same topic are generated in public discourse. The research also demonstrates how the theoretical concept of ego–alter embedded in the social representations theory can be empirically utilised in analysing debates in contemporary media environments and to shed light on the dialogical dynamics around the discussions.
A highly efficient n‐CdS/p‐Ag2S/p+‐SnS thin film solar cell: Design and simulation
Authors: Ahmed Tanvir , Islam Md. Choyon , Pappu Md. Alamin Hossain , Mostaque Shaikh Khaled , Mondal Bipanko Kumar , Hossain Jaker 
Published: January 2024

AbstractSilver sulfide (Ag2S) chalcogenide compound can be a viable absorber in the applications of thin film solar cells owing to its optimum bandgap of 1.1 eV and high absorption coefficient. Herein, we propose a novel Ag2S‐based n‐CdS/p‐Ag2S/p+‐SnS double‐heterojunction solar cell. The numerical analysis of the device has been performed with SCAPS‐1D (Solar Cell Capacitance Simulator). In the case of single heterojunction, n‐CdS/p‐Ag2S manifests an efficiency of 19.75%, where VOC = 0.66 V, JSC = 36.99 mA/cm2 and FF = 81.50%. However, Ag2S‐based double‐heterojunction device with optimized structure provides the efficiency of 29.51% with VOC = 0.81 V, JSC = 42.81 mA/cm2 and FF =85.24%. The noteworthy augmentation of VOC and JSC in double‐heterojunction results from the reduction in surface recombination velocity and rise in built‐in voltage in the p‐Ag2S/p+‐SnS hetero‐interfaces that promote the higher efficiency of the device. These theoretical insights indicate a path for fabrication of an efficient Ag2S based thin film solar cell.
A framework to facilitate development and testing of image‐based river velocimetry algorithms
Authors: Legleiter Carl J. , Kinzel Paul J. 
Published: January 2024

AbstractImage‐based methods have compelling, demonstrated potential for characterizing flow fields in rivers, but algorithms like particle image velocimetry (PIV) must be further tested and improved to enable more effective use of these techniques. This paper presents a framework designed for this exact purpose: Simulating Hydraulics and Images for Velocimetry Evaluation and Refinement (SHIVER). The approach involves coupling a hydrodynamic model with a synthetic particle generator to advect particles between frames, as dictated by local velocity vectors and thus construct a plausible image sequence specific to the reach of interest. The resulting time series can then be used as input to a velocimetry algorithm to compare image‐derived estimates with known (modelled) velocities to perform an exhaustive, spatially distributed accuracy assessment. As an example application of SHIVER, we examined the effects of interrogation area (IA) size, frame rate, flow velocity, and image sequence duration on the performance of a standard PIV algorithm. This analysis indicated that image‐derived velocities were generally in close agreement with those from the flow model (root mean square error <10% and mean bias <3%), except when small IAs were coupled with low frame rates. Velocity estimates were most accurate for the lowest modelled discharge (
at baseflow) and became less reliable as the mean flow velocity increased (
for an intermediate discharge and
at bankfull). Accuracy was essentially independent of image sequence duration, implying that long occupations might not be necessary. Errors were concentrated along channel margins, where PIV‐based velocities tended to be greater than those from the flow model. Small IAs led to underpredictions of velocity, while larger IAs led to overpredictions. SHIVER is highly modular and could be updated to make use of different hydrodynamic models or image simulators. The framework could also facilitate more thorough sensitivity analyses and comparison of various velocimetry algorithms.
Performance analysis of FSO communications over a generalized turbulence fading channel with pointing error
Authors: Shishter Yousef M. , Ali Falah H. , Young Rupert C. 
Published: January 2024

SummaryQuantitatively assessing the performance of free space optical (FSO) communication systems requires an accurate description of turbulence induced fading. However, it is well known that common irradiance distributions inaccurately model intensity tail regions. Recently, a general fading model as the product of arbitrary number of Gamma with inverse Gamma was proposed and shown to accurately predict measurements, besides containing many well‐known models as special cases. This paper is concerned with analyzing the effect of discrepancies among different fading distributions on optical system performance in terms of bit error rates and capacity. Based on the general fading model a unified analysis of the channel structure effects on FSO communications in the presence of turbulence and pointing error is presented. The outage probability is investigated for both homodyne and direct detection schemes. Closed form expressions for the average probability of bit error for intensity modulation, phase shift keying and polarization shift keying, single‐input‐single‐output systems are given and verified by Monte‐Carlo simulations. Spatial diversity is also studied through single‐input‐multiple‐output systems. Also, the ergodic capacity is derived. Comparisons between the proposed distributions and other widely used distributions are carried out and show significant differences among existing fading models. This suggests possible improvements in the spectral efficiency and error performance design of optical wireless communication systems.
Embedding the weather prediction errors (WPE) into the photovoltaic (PV) forecasting method using deep learning
Authors: Bâra Adela , Oprea Simona‐Vasilica 
Published: January 2024

AbstractThe creation of features makes the difference in improving the photovoltaic forecast (PVF) for on‐grid, hybrid and off‐grid PV systems. The importance of the PVF is tremendous, and it can be essential in optimizing the home appliances to maximize the Renewable Energy Sources (RES) usage or to create performant bids for the electricity market. Several use cases are considered from the connectivity point of view. Therefore, in this paper, we propose a Weather Prediction Error (WPE)‐based method that uses a Stacking Regressor (SR) for various PV systems that coexist in the emerging Energy Communities (EC) landscape. The novelty of the research we conduct consists in proposing several features and determining the coefficients to adjust the PVF based on WPE. The forecast results of four types of PV systems from size and connectivity point of view are investigated. Compared with individual Machine Learning (ML) models, R2 increases with more than 3% with the SR and with more than 6% after applying the adjustment coefficients. Nevertheless, the major improvement is recorded for the off‐grid inverter and for the large industrial PV power plant, demonstrating that the proposed model is suitable for these types of systems. The other metrics improved as well, especially Mean Average Error (MAE) that decreases between 10% and 23%. A significant decrease is in the case of the industrial on‐grid PV, from 130 kW to 123 kW using the SR and to 107 kW after adjustments. This represents around 18% from the initial MAE. The ratio of daily deviations is also improved using the SR. For all the PV systems, the ratio stabilizes in a shorter interval, from daily values between 0.78 and 1.33 obtained with the ML models to values between 0.83 and 1.24 obtained with the SR. After the final adjustments, the interval becomes shorter, having daily values between 0.90 and 1.10.
Cutaneous fistula formation after thyroid nodule rupture: A rare complication after radiofrequency ablation
Authors: Bastien Amanda J. , Amin Luv , Moses Jeffrey , Sacks Wendy , Ho Allen S. 
Published: January 2024

AbstractBackgroundWith innovative treatment options such as radiofrequency ablation (RFA) for thyroid nodules, new complications are being identified. It is important to define and delineate complications in order to counsel patients appropriately about treatment options and their associated risks and benefits.MethodsA 46‐year‐old male presented with a left thyroid nodule (6.5 cm). Fine needle aspiration results were benign. He started to develop intermittent dyspnea and underwent one RFA procedure. Approximately 6 days post‐RFA, the neck area was raised and red with blister. The skin overlying the blister underwent eventual dehiscence with fluid spillage. Several months later, MRI imaging showed substernal extension with tracheal deviation.ResultsA left thyroid lobectomy was performed with cutaneous excision and successful closure of a fistula.ConclusionsThis is the first reported case of a thyroid nodule rupture following RFA which manifested into a thyro‐cutaneous fistula and required surgical intervention.