bluuebunny/crossref_metadata_2025_split huggingface dataset:
Why are these publications missing? Uncovering the reasons behind the exclusion of documents in free‐access scholarly databases
Authors: Delgado‐Quirós Lorena , Aguillo Isidro F. , Martín‐Martín Alberto , López‐Cózar Emilio Delgado , Orduña‐Malea Enrique , Ortega José Luis 
Published: October 2023

AbstractThis study analyses the coverage of seven free‐access bibliographic databases (Crossref, Dimensions—non‐subscription version, Google Scholar, Lens, Microsoft Academic, Scilit, and Semantic Scholar) to identify the potential reasons that might cause the exclusion of scholarly documents and how they could influence coverage. To do this, 116 k randomly selected bibliographic records from Crossref were used as a baseline. API endpoints and web scraping were used to query each database. The results show that coverage differences are mainly caused by the way each service builds their databases. While classic bibliographic databases ingest almost the exact same content from Crossref (Lens and Scilit miss 0.1% and 0.2% of the records, respectively), academic search engines present lower coverage (Google Scholar does not find: 9.8%, Semantic Scholar: 10%, and Microsoft Academic: 12%). Coverage differences are mainly attributed to external factors, such as web accessibility and robot exclusion policies (39.2%–46%), and internal requirements that exclude secondary content (6.5%–11.6%). In the case of Dimensions, the only classic bibliographic database with the lowest coverage (7.6%), internal selection criteria such as the indexation of full books instead of book chapters (65%) and the exclusion of secondary content (15%) are the main motives of missing publications.
Yawing stability and manipulative approach design for maglev car based on active disturbance rejection control
Authors: Zhang Baojian , Ke Zhihao , Li Zhengyan , Shi Hongfu , Liang Le , Deng Zigang 
Published: October 2023

AbstractIn the present work, to realize the stable static suspension of a new type of electrodynamic wheel (EDW) magnetic levitation (maglev) car without track constraints on the conductor plate. Design and analysis of the active disturbance rejection control and explicit complementary filter (ADRC‐ECF) have been presented to solve the maglev car's yaw angle disturbance rejection under low lateral damping characteristics. Simple and efficient ECF helps to filter the high and low frequency noise generated by EDWs when rotating at high speed, to obtain accurate data in real‐time. Design and build the hardware control system for maglev car, and conduct experimental comparisons with PID controller to verify the effectiveness of suppressing yaw angle disturbances. Based on simulation and experimental results, it is shown that both PID and ADRC‐ECF can improve the stable yaw angle convergence of maglev car under external disturbances. However, ADRC performs better in resisting disturbances than PID and can achieve more accurate fixed angle steering. This paper is the first attempt to control maglev car on a trackless conductor plate for precise steering and anti‐disturbance, which is anticipated to have some reference significance in this field.
The bellwether of community: The influence of lead users' characteristics on ordinary users' participation in online brand communities
Authors: Wang Shu , Hu Fei , Yang Zhiyong , Gao Libei , Wang Li 
Published: October 2023

AbstractThe traditional lead user theory proposes that lead users are an important source of innovation. However, little is known about how lead users influence other users in online brand communities. Based on the uses and gratifications theory, we introduce ordinary user‐perceived benefits—including cognitive benefits, social integrative benefits, personal integrative benefits, and hedonic benefits—as mediators to explain the relationship between lead users' characteristics and ordinary users' participation in an online brand community. Furthermore, we introduce the hosting type of the brand community (consumer‐run vs. company‐managed brand community) and explain its moderating effect on the relationship between lead users' characteristics and ordinary users' participation. The finding reveals that lead users' characteristics have a significant positive effect on ordinary users' participation, and that the effect is partially mediated by cognitive benefits, social integrative benefits, and personal integrative benefits. Besides, the relationship between lead users' characteristics and ordinary users' participation is stronger for consumer‐run brand communities than for company‐managed brand communities.
Prognostic significance of tumor microenvironment assessed by machine learning algorithm in surgically resected non‐small cell lung cancer
Authors: Terada Yukihiro , Isaka Mitsuhiro , Ono Akira , Kawata Takuya , Serizawa Masakuni , Mori Keita , Muramatsu Koji , Tone Kiyoshi , Kenmotsu Hirotsugu , Ohshima Keiichi , Urakami Kenichi , Nagashima Takeshi , Kusuhara Masatoshi , Akiyama Yasuto , Sugino Takashi , Takahashi Toshiaki , Ohde Yasuhisa 
Published: October 2023

AbstractBackgroundA methodology to assess the immune microenvironment (IME) of non‐small cell lung cancer (NSCLC) has not been established, and the prognostic impact of IME factors is not yet clear.AimsThis study aimed to assess the IME factors and evaluate their prognostic values.Methods and ResultsWe assessed CD8+ tumor‐infiltrating lymphocyte (TIL) density, forkhead box protein P3+ (Foxp3+) TIL density, and programmed death receptor ligand‐1 (PD‐L1) tumor proportion score (TPS) using a machine‐learning algorithm in whole‐slide imaging (WSI). We dichotomized patients according to TIL density or TPS and compared their clinical outcomes. Between September 2014 and September 2015, 165 patients with NSCLC were enrolled in the study. We assessed IME factors in the epithelium, stroma, and their combination. An improvement in disease‐free survival (DFS) was observed in the high CD8+TIL density group in the epithelium, stroma, and the combination of both. Moreover, the group with high PD‐L1 TPS in the epithelium showed better DFS than that with low PD‐L1 TPS. In the multivariate analysis, the CD8+TIL density in the combination of epithelium and stroma and PD‐L1 TPS in the epithelium were independent prognostic factors (hazard ratio [HR] = 0.43; 95% confidence interval [CI] = 0.26–0.72; p = .001, HR = 0.49; 95% CI = 0.30–0.81; p = .005, respectively).ConclusionOur approach demonstrated that the IME factors are related to survival in patients with NSCLC. The quantitative assessment of IME factors enables to discriminate patients with high risk of recurrence, who can be the candidates for adjuvant therapy. Assessing the CD8+TIL density in the combination of epithelium and stroma might be more useful than their individual assessment because it is a simple and time‐saving analysis of TILs in WSI.
Occupancy of the Ethiopian endemic Moorland Francolin in pristine and degraded Afroalpine biome using a camera trap approach
Authors: Abrha Abadi Mehari , Gedeon Kai , Podsiadlowski Lars , Weldesilasie Demis Mamo , Töpfer Till 
Published: October 2023

AbstractOccupancy modeling is an essential tool for understanding species‐habitat associations, thereby helping to plan the conservation of rare and threatened wildlife species. The conservation status and ecology of several avian species, particularly ground‐dwelling birds, are poorly known in Ethiopia. We used camera trap‐based occupancy modeling to investigate habitat covariate influence on occupancy (Ψ) and detection probability (ρ) estimates of Moorland Francolins Scleroptila psilolaema from spatially replicated surveys across both relatively pristine and disturbed landscapes in the Afroalpine biome of Ethiopia. Model‐averaged estimate of across all sites was 0.76 (SD = 0.28) and was 0.77 (SD = 0.13) in the pristine landscape. The of the species in the disturbed landscape was 0.56 (SD = 0.19) and was 0.48 (SD = 0.06). As hypothesized, based on our model‐averaged beta coefficient estimates (βmean ± SE), predators significantly negatively influenced the occupancy of Moorland Francolins in pristine habitat. We also found a significant positive association of occupancy with herb species richness. Contrary to our prediction, distance to road significantly negatively influence the occupancy of the species, suggesting that occupancy probability was highest in proximity to roadsides and trails in the pristine habitat. There was no significant influence of habitat covariates on the occupancy of the species in the disturbed habitat. The most important covariates that significantly influence the detectability of the species in pristine habitat included sampling occasion and precipitation. The greater occupancy and detectability of this endemic species in the pristine habitat could be linked with the particular conservation status and management of this biodiversity hotspot in the central highlands of Ethiopia. Our results suggest that strict legal enforcement is required to sustainably preserve Moorland Francolins and the ecological integrity of the entire Afroalpine biome. We recommend using camera traps in order to develop realistic and effective conservation and management strategies for rare, sensitive, cryptic, and ground‐dwelling animals in the region.
Pollination crisis Down‐Under: Has Australasia dodged the bullet?
Authors: Pyke Graham H. , Prendergast Kit S. , Ren Zong‐Xin 
Published: October 2023

AbstractSince mid‐1990s, concerns have increased about a human‐induced “pollination crisis.” Threats have been identified to animals that act as plant pollinators, plants pollinated by these animals, and consequently human well‐being. Threatening processes include loss of natural habitat, climate change, pesticide use, pathogen spread, and introduced species. However, concern has mostly been during last 10–15 years and from Europe and North America, with Australasia, known as Down‐Under, receiving little attention. So perhaps Australasia has “dodged the bullet”? We systematically reviewed the published literature relating to the “pollination crisis” via Web of Science, focusing on issues amenable to this approach. Across these issues, we found a steep increase in publications over the last few decades and a major geographic bias towards Europe and North America, with relatively little attention in Australasia. While publications from Australasia are underrepresented, factors responsible elsewhere for causing the “pollination crisis” commonly occur in Australasia, so this lack of coverage probably reflects a lack of awareness rather than the absence of a problem. In other words, Australasia has not “dodged the bullet” and should take immediate action to address and mitigate its own “pollination crisis.” Sensible steps would include increased taxonomic work on suspected plant pollinators, protection for pollinator populations threatened with extinction, establishing long‐term monitoring of plant–pollinator relationships, incorporating pollination into sustainable agriculture, restricting the use of various pesticides, adopting an Integrated Pest and Pollinator Management approach, and developing partnerships with First Nations peoples for research, conservation and management of plants and their pollinators. Appropriate Government policy, funding and regulation could help.
Interaction of heart failure and stroke: A clinical consensus statement of the ESC Council on Stroke, the Heart Failure Association (HFA) and the ESC Working Group on Thrombosis
Authors: Doehner Wolfram , Böhm Michael , Boriani Giuseppe , Christersson Christina , Coats Andrew J.S. , Haeusler Karl Georg , Jones Ian D. , Lip Gregory Y.H. , Metra Marco , Ntaios George , Savarese Gianluigi , Shantsila Eduard , Vilahur Gemma , Rosano Giuseppe 
Published: October 2023

ABSTRACTHeart failure (HF) is a major disease in our society that often presents with multiple comorbidities with mutual interaction and aggravation. The comorbidity of HF and stroke is a high risk condition that requires particular attention to ensure early detection of complications, efficient diagnostic workup, close monitoring, and consequent treatment of the patient. The bi‐directional interaction between the heart and the brain is inherent in the pathophysiology of HF where HF may be causal for acute cerebral injury, and – in turn – acute cerebral injury may induce or aggravate HF via imbalanced neural and neurovegetative control of cardiovascular regulation. The present document represents the consensus view of the ESC Council on Stroke, the Heart Failure Association and the ESC Working Group on Thrombosis to summarize current insights on pathophysiological interactions of the heart and the brain in the comorbidity of HF and stroke. Principal aspects of diagnostic workup, pathophysiological mechanisms, complications, clinical management in acute conditions and in long‐term care of patients with the comorbidity are presented and state‐of‐the‐art clinical management and current evidence from clinical trials is discussed. Beside the physicians perspective, also the patients values and preferences are taken into account. Interdisciplinary cooperation of cardiologists, stroke specialists, other specialists and primary care physicians is pivotal to ensure optimal treatment in acute events and in continued long‐term treatment of these patients. Key consensus statements are presented in a concise overview on mechanistic insights, diagnostic workup, prevention and treatment to inform clinical acute and continued care of patients with the comorbidity of HF and stroke.
Characteristics and outcomes of patients with atrial versus ventricular secondary tricuspid regurgitation undergoing tricuspid transcatheter edge‐to‐edge repair – Results from the TriValve registry
Authors: Russo Giulio , Badano Luigi P , Adamo Marianna , Alessandrini Hannes , Andreas Martin , Braun Daniel , Connelly Kim A. , Denti Paolo , Estevez‐Loureiro Rodrigo , Fam Neil , Gavazzoni Mara , Hahn Rebecca T. , Harr Claudia , Hausleiter Joerg , Himbert Dominique , Kalbacher Daniel , Ho Edwin , Latib Azeem , Lubos Edith , Ludwig Sebastian , Lurz Philipp , Monivas Vanessa , Nickenig Georg , Pedicino Daniela , Pedrazzini Giovanni , Pozzoli Alberto , Pires Marafon Denise , Pastorino Roberta , Praz Fabien , Rodes‐Cabau Joseph , Besler Christian , Schofer Joachim , Scotti Andrea , Piayda Kerstin , Sievert Horst , Tang Gilbert H.L. , Thiele Holger , Schlotter Florian , von Bardeleben Ralph Stephan , Webb John , Windecker Stephan , Leon Martin , Maisano Francesco , Metra Marco , Taramasso Maurizio 
Published: October 2023

AbstractAimFunctional or secondary tricuspid regurgitation (STR) is the most common phenotype of tricuspid regurgitation (TR) with atrial STR (ASTR) and ventricular STR (VSTR) being recently identified as two distinct entities. Data on tricuspid transcatheter edge‐to‐edge repair (T‐TEER) in patients with STR according to phenotype (i.e. ASTR vs. VSTR) are lacking. The aim of this study was to assess characteristics and outcomes of patients with ASTR versus VSTR undergoing T‐TEER.Methods and resultsPatients with STR undergoing T‐TEER were selected from the Transcatheter Tricuspid Valve Therapies (TriValve) registry. ASTR was defined by (i) left ventricular ejection fraction ≥50%, (ii) atrial fibrillation, and (iii) systolic pulmonary artery pressure <50 mmHg. Patients not matching these criteria were classified as VSTR. Patients with primary TR and cardiac implantable electronic device were excluded. Key endpoints included procedural success and survival at follow‐up. A total of 298 patients were enrolled in the study: 65 (22%) with ASTR and 233 (78%) with VSTR. Procedural success was similar in the two groups (80% vs. 83% for ASTR vs. VSTR, p = 0.56) and TEER was effective in reducing TR in both groups (from 97% of patients with baseline TR ≥3+ to 23% in ASTR and to 15% in VSTR, all p = 0.001). At 12‐month follow‐up, survival was significantly higher in the ASTR versus VSTR cohort (91% vs.
72%, log‐rank p = 0.02), with VSTR being an independent predictor of mortality at multivariable analysis (hazard ratio 4.75).ConclusionsIn a real‐world, multicentre registry, T‐TEER was effective in reducing TR grade in both ASTR and VSTR. At 12‐month follow‐up, ASTR showed better survival than VSTR.
Multiscale ultra‐short‐term wind power prediction model based on GD‐IFEM‐PSO and VMD‐BP
Authors: Zhang Zhe , Wang Yongsheng , Xu Zhiwei , Gao Jing , Liu Limin 
Published: October 2023

AbstractWind power prediction enables advance prediction of the future capacity of wind farms to improve production, increase capacity and reduce costs, however, wind power generation data are highly unstable, making it difficult to achieve high‐precision prediction. Signal decomposition methods and optimization algorithms allow for data smoothing and optimization of parameter settings, but the limitations of parameter dependency and the slow optimization search process prevent existing research from being applied in a practical setting. To address these issues, this article proposes a multiscale ultra‐short‐term wind power prediction model based on particle swarm optimization based on greedy dynamic and integrated fitness evaluation method (GD‐IFEM‐PSO) and variational mode decomposition and back propagation network (VMD‐BP). First, this article improves the velocity update formula in the particle swarm optimization algorithm by the proposed GD weight and sets up a fitness function using multiple evaluation metrics by the proposed integrated fitness evaluation method (IFEM), so that the improved particle swarm optimization algorithm achieves high efficiency in the optimization search while ensuring the comprehensiveness of the evaluation. Second, the variable mode decomposition (VMD) decomposition algorithm is used to decompose the historical wind power data to achieve smoothing of the wind power data, and the improved particle swarm optimization algorithm is used to optimize the K and ⍺ values in the VMD decomposition algorithm to improve the comprehensive performance of the decomposition. Then, to achieve data reduction and fast model training, the components are divided into trend components, low‐frequency vibration components, high‐frequency vibration components, and random noise components according to the central frequency, so that the model can better grasp the data trend while reducing the number of components and achieving high prediction accuracy. Finally, the different components are predicted by the BP neural network and the predicted values of the different categories of components are reconstructed into the final wind power prediction values. To demonstrate the rationality and progressiveness of the proposed model, several models are compared on several data sets, and the results show that the proposed model has faster prediction speed and higher prediction performance, and is more suitable for application in real‐world environments.
Electrochemical charge storage properties of novel inverse spinel (CuNiZnAlFe)3O4 type high entropy oxide
Authors: Gupta Amit K. , Shubham Kumar , Giri Neeraj K. , Shahi Rohit R. 
Published: October 2023

AbstractThe novel (CuNiZnAlFe)3O4 type nanocrystalline High Entropy Oxide (HEO) was synthesized through the sol‐gel method with combustion at 350°C for 1 h duration. The XRD analysis reveals the formation of inverse spinel [B(AB)O4] type phase indexed with the space group of Fd‐3 m confirmed through the Rietveld Refinement of the XRD data. The lattice constant for the synthesized spinel phase was found to be 8.2453°A. The Scanning Electron Microscope of the synthesized HEO confirms the flakes‐like morphology with porous microstructure. The Energy Dispersive X‐ray (EDX) analysis and elemental mapping confirm the homogeneous distribution of the cations over the selected region. It was found that Fe and Ni are in the +3 and +2 states, other cations, Cu and Zn, are in the +2 states, and Al is in the +3 confirmed through the X‐ray photoelectron Spectroscopy. The electrochemical performance was studied in three electrodes in a 2 M KOH aqueous electrolyte. The specific capacitance value was 2.02, 1.58, 1.24, 1.06, 0.87, 0.71, and 0.65 F/g at scan rates of 5, 10, 20, 30, 50, 80, and 100 mV/s, respectively. The low value of specific capacitance was observed due to the stable ionic structure of the inverse spinel phase. The magnetization behavior of the sample is also investigated. The M‐H loop of the (CuNiZnAlFe)3O4 HEO sample exhibits a ferrimagnetic nature.
Perceived plausibility modulates hippocampal activity in episodic counterfactual thinking
Authors: Miceli Kaylee , Morales‐Torres Ricardo , Khoudary Ari , Faul Leonard , Parikh Natasha , De Brigard Felipe 
Published: October 2023

AbstractEpisodic counterfactual thinking (ECT) consists of imagining alternative outcomes to past personal events. Previous research has shown that ECT shares common neural substrates with episodic future thinking (EFT): our ability to imagine possible future events. Both ECT and EFT have been shown to critically depend on the hippocampus, and past research has explored hippocampal engagement as a function of the perceived plausibility of an imagined future event. However, the extent to which the hippocampus is modulated by perceived plausibility during ECT is unknown. In this study, we combine two functional magnetic resonance imaging datasets to investigate whether perceived plausibility modulates hippocampal activity during ECT. Our results indicate that plausibility parametrically modulates hippocampal activity during ECT, and that such modulation is confined to the left anterior portion of the hippocampus. Moreover, our results indicate that this modulation is positive, such that increased activity in the left anterior hippocampus is associated with higher ratings of ECT plausibility. We suggest that neither effort nor difficulty alone can account for these results, and instead suggest possible alternatives to explain the role of the hippocampus during the construction of plausible and implausible ECT.
Application of artificial neural networks for time series rainfall forecasting in the Loktak lift irrigation command area of Manipur, India
Authors: Yumkhaibam Satish , Kusre Bharat C. 
Published: October 2023

AbstractThe primary source of water for irrigation and other agricultural activities is rainfall. It has an immediate effect on crop growth and productivity. Forecasting this rainfall in advance allows farmers to effectively plan their cropping pattern. In recent years, forecasting rainfall has become very popular due to the availability of the latest computation techniques. Artificial neural networks (ANNs) are one such technique widely used for rainfall prediction by a number of researchers. These models are more reliable as they make better predictions because of their nonlinear data learning method. In the present study, an ANN model was developed to predict the annual, monsoon and postmonsoon season rainfall. The model was developed using 34 years of data from 1985 to 2018 in the command area of the Loktak Lift Irrigation Project in Manipur, India. The ANN model was trained using the rectified linear unit (ReLU) activation function. The 3‐year input model excelled in all seasons, with the best model achieving a 0.36 coefficient of determination (R2), 75.7 root mean square error, 0.60 correlation coefficient and 62.5 mean absolute error. These performance indicators were comparable with studies performed by other researchers. Thus, the model can be adopted for the study area.