bluuebunny/crossref_metadata_2025_split huggingface dataset:
Die Pflanzengesellschaften der Stehenden Gewässer im Norden der DDR Teil I. Die Gesellschaften des offenen Wassers (Characeen‐Gesellschaften)
Authors: Doll R. 
Published: August 2024

ZusammenfassungIn dieser Arbeit werden die Characeen‐Gesellschaften des nördlichen Teils der Deutschen Demokratischen Republik erfaßt und diskutiert.Es wurden die folgenden Gesellschaften unterschieden: Nitelletum flexilis Corill, 57, Nitelletum opacac Corill. 57, Nitelletum mucronatae Doll. ass. nov., Nitello‐Vaucherietum dichotomae (Pass. 04) Krausch 64, Charetum asperae Corill. 57, Charetum contrariae Corill. 57, Charetum ‘macrotelis’. Schmidt 81, Charetum delicatulae Doll ass. nov., Charetum intermediae A. Melzkr 77, Charetum tomentosac (Sauer 37) Corill. 57, Charetum polyacanthae Dambska 66, Charetum fragilis Fijalk. 60, Charetum jubatae Krausch 64, Charetum rudis Dambska 66, Charetum hispidae Corill. 57, Charetum equisetinae Schmidt 81, Nitellopsidetum obtusae Damuska 61, Charetum vulgaris Krause 69, Nitelletum gracilis Corill. 57, Nitelletum capillaris Corill. 57, Charetum canescentis Corill. 57, Chara baltica‐Gesellschaft ss. Lindner 78.Außerdem werden vorgestellt:Najadetum intermediae (Koch 26) Lang 73, Potamogeto‐Najadetum marinae Horv. et Mic. in Horv. 63, Najadetum minoris Ubriszy (48) 61.
Friendship stings: Jealousy behind a close friend's extraordinary experiences
Authors: Wang Liangyan , Nie Xinyu , Chan Eugene Y. 
Published: August 2024

AbstractPeople believe that close friends will naturally share their positive feelings, such as the pleasure of extraordinary experiences. But is that true? We find that people are more likely to be jealous of close friends' extraordinary experiences than those of acquaintances (Study 1). This is because close friends (vs. acquaintances) are more likely to make comparisons, which ultimately leads to jealousy (Studies 2, 5). But this does not mean that keeping secrets from close friends is a better choice. The secrecy of our close friends' extraordinary experiences actually amplifies jealousy (Studies 3, 5), with implications for consumer purchase intentions (Study 4). These studies suggest that close friendships may sting you in some unexpected situations (i.e., extraordinary experiences).
Idiopathic Subglottic Stenosis in Non‐Caucasian Women
Authors: Suk Amber , Dehom Salem , Punjabi Nihal , Young VyVy N. , Krishna Priya D. , Reder Lindsay , O'Dell Karla , Gochman Grant E. , Simmons Ethan , Verma Sunil P. , Harmon Matthew , Weissbrod Philip A. , Yang Jin , Tamares Shanalee , Crawley Brianna K. 
Published: August 2024

AbstractObjectiveTo characterize presentation, disease course, and treatment of idiopathic subglottic stenosis (iSGS) in non‐Caucasian women and compare this cohort to the predominantly female, Caucasian patient cohorts identified in the literature.Study DesignRetrospective review. Results are compared to systematic review of demographics.SettingMultiple California institutions from 2008 to 2021.MethodsPatients with intubation within 2 years of disease or who met exclusion criteria listed in prior publications were excluded. A systematic review of iSGS patient demographics was also completed for comparison.ResultsOf 421 patients with iSGS, 58 self‐identified as non‐Caucasian women, with 50 ultimately included. Mean age of onset was 45.1 years old (95% confidence interval [CI], 41.5‐48.8), and mean age at diagnosis was 47.2 years (95% CI, 43.6‐50.7). Mean Charlson comorbidity index was 1.06 (n = 49, 95% CI, 0.69‐1.44). At diagnosis, Cotton‐Meyer severity scores (documented in n = 45) were Cotton‐Myer (CM) I (28.9%), CM II (40%), and CM III (31.1%). Mean age at first endoscopic surgery was 47.7 (95% CI, 44.2‐51.3) years. 64% experienced disease recurrence with a median of 11 months between their first and second surgery. Our systematic review identified 60 studies that reported demographic features in patients with iSGS. 95% of pooled patients were Caucasian, while other demographic features were similar to the current cohort.ConclusionThe non‐Caucasian population, almost 14% of this Californian cohort, does not differ from the majority Caucasian population detailed in contemporary literature. This cohort supports the presence of some racial and ethnic heterogeneity in this disease population.
Impact resistance optimization of composite laminates based on variable‐fidelity surrogate model
Authors: Liu Yuchi , Lu Jing , Zhang Haowei , Wang Haijin , Wang Han , Bi Yunbo 
Published: August 2024

AbstractTo improve the impact resistance of composite materials, this study introduces an efficient global optimization framework based on a multi‐fidelity surrogate model to optimize the layup sequence of laminates. Numerical simulation models are constructed utilizing Hashin and Puck failure criteria to provide a few time‐consuming high‐fidelity samples and a multitude of inexpensive low‐fidelity samples. The traditional genetic algorithm has been improved in terms of encoding mechanisms, genetic operators, genetic probabilities, algorithm structure, and the recognition of constraint conditions. The translation propagation algorithm based on optimal Latin hypercube sampling is used to generate initial sample points and improve the quality of space filling. An efficient global optimization framework for time‐consuming simulation problems is established by combining the Hierarchical Kriging surrogate model and multi‐fidelity expectation improved addition criterion to seek the optimal layup sequence of composites when the impact resistance of unconventional layup laminates is maximized. The optimized laminate shows a significant increase in impact resistance, evidenced by a 32.5% increase in peak impact contact force and an 18.01% decrease in the total delamination damage area. Analysis of the impact damage area reveals that post‐optimization, the laminate deforms less under impact load, exhibiting more directions of damage spread and an enhanced load‐bearing capacity.Highlights
An improved DNA genetic algorithm is proposed in terms of encoding mechanisms, genetic operators, and algorithm structure.
Numerical simulation models are constructed utilizing Hashin and Puck failure criteria to provide high‐fidelity samples.
An efficient global optimization framework for time‐consuming simulation problems is established by combining the Hierarchical Kriging surrogate model.
The mechanical response and damage mechanism of the original and optimized laminates under low‐velocity impact are analyzed.
Metal‐Organic Frameworks as a Thermal Emitter for High‐Performance Passive Radiative Cooling
Authors: Lam Do Van , Dung Dao Thi , Nguyen Uyen Nhat Trieu , Kang Hyun Seok , Bae Byeong‐Soo , Kim Hyeon‐Don , Lim Mikyung , Kim Duckjong , Kim Jae‐Hyun , Lee Seung‐Mo 
Published: August 2024

AbstractPassive radiative cooling represents a transformative approach to achieving sustainable cooling on Earth without relying on energy consumption. In this research, the optical characteristics of five readily accessible metal‐organic frameworks (MOFs): ZIF‐67(Co), MOF‐74(Ni), HKUST‐1(Cu), MOF‐801(Zr), and UiO‐66(Zr) are meticulously explored. The objective is to identify the pivotal factors that influence their ability to facilitate radiative cooling. Through an in‐depth analysis encompassing spectroscopic features, surface texture, and porosity, it is found that the MOFs' cooling efficacy is largely influenced by their optical bandgaps and functional groups, although other factors like chemical composition and structural characteristics remain to be considered. Notably, UiO‐66(Zr) emerged as the standout performer, boasting an impressive solar reflectance of 91% and a mid‐infrared emissivity of 96.8%. Remarkably, a fabric treated with UiO‐66(Zr) achieved a substantial sub‐ambient cooling effect, lowering temperatures by up to 5 °C and delivering a cooling power of 26 W m−2 at 300 K. The findings underscore the vast potential of MOFs in offering new opportunities to advance passive radiative cooling technologies, paving the way for their extensive application in this field.
Improving Web Element Localization by Using a Large Language Model
Authors: Nass Michel , Alégroth Emil , Feldt Robert 
Published: August 2024

ABSTRACTWeb‐based test automation heavily relies on accurately finding web elements. Traditional methods compare attributes but do not grasp the context and meaning of elements and words. The emergence of large language models (LLMs) like GPT‐4, which can show human‐like reasoning abilities on some tasks, offers new opportunities for software engineering and web element localization. This paper introduces and evaluates VON Similo LLM, an enhanced web element localization approach. Using an LLM, it selects the most likely web element from the top‐ranked ones identified by the existing VON Similo method, ideally aiming to get closer to human‐like selection accuracy. An experimental study was conducted using 804 web element pairs from 48 real‐world web applications. We measured the number of correctly identified elements as well as the execution times, comparing the effectiveness and efficiency of VON Similo LLM against the baseline algorithm. In addition, motivations from the LLM were recorded and analysed for 140 instances. VON Similo LLM demonstrated improved performance, reducing failed localizations from 70 to 40 (out of 804), a 43% reduction. Despite its slower execution time and additional costs of using the GPT‐4 model, the LLM's human‐like reasoning showed promise in enhancing web element localization. LLM technology can enhance web element localization in GUI test automation, reducing false positives and potentially lowering maintenance costs. However, further research is necessary to fully understand LLMs' capabilities, limitations and practical use in GUI testing.
Multifaceted Characteristics of Biochar and Its Implementation in Environmental Management in a Sustainable Way
Authors: Rao Deepak , Rajput Priyadarshani , Choudhary Ravish , Yadav Sangita , Yadav S. K. , Rajput Vishnu D. , Minkina Tatiana , Ercisli Sezai , Matić Slavica 
Published: August 2024

ABSTRACTBiochar (BC), a carbon‐dense substance created through the pyrolysis of organic biomass, has garnered considerable interest as a promising option for sustainable mitigation methods. A comprehensive examination of the diverse attributes of BC and its implications for addressing contemporary environmental issues while fostering sustainable practices is compiled in this review. The synthesis techniques and structural attributes of BC are scrutinized initially, emphasizing its remarkable features such as broad surface area, porosity, and active sites. These characteristics of BC are conducive to myriad environmental applications, including pollutant remediation, soil health enhancement, and carbon sequestration. Subsequently, this review delves into the mechanisms underlying BC's effectiveness in environmental remediation. BC exhibits augmented adsorption capacities, catalytic functionalities, and interactions with microorganisms, facilitating the removal of contaminants from different matrices of the environment. Recently, BC and their products such as nano‐BC have gained widespread recognition as a feasible option for sustainable carbon material. Fabrication, characterization, modification, and diverse applications of BC were also discussed in detail. Its integration into agriculture holds promise for enhancing soil organic matter, augmenting production, and mitigating gas emissions, thereby contributing to food security and climate change mitigation. In conclusion, BC and nano‐BC emerge as a promising avenue for addressing environmental challenges and advancing sustainable development objectives. However, further research is warranted to optimize synthesis methodologies, elucidate long‐term environmental implications, and facilitate scalable production for widespread adoption.
Bluetongue virus serotype 3 in ruminants in the Netherlands: Clinical signs, seroprevalence and pathological findings
Authors: van den Brink Katrien M. J. A. , Santman‐Berends Inge M. G. A. , Harkema Liesbeth , Scherpenzeel Christian G. M. , Dijkstra Eveline , Bisschop Petra I. H. , Peterson Karianne , van de Burgwal Nienke Snijders , Waldeck Hubert W. F. , Dijkstra Thomas , Holwerda Melle , Spierenburg Marcel A. H. , van den Brom René 
Published: August 2024

AbstractBackgroundThe bluetongue virus serotype 3 (BTV‐3) outbreak in the Netherlands in 2023 caused severe clinical signs in ruminants. The clinical and pathological signs in ruminants and their spread during the outbreak in 2023 are described.MethodsData from the Dutch monitoring and surveillance system were available to describe clinical signs and pathological findings related to BTV‐3 in sheep, cattle and goats. During the outbreak, 13 farms (five sheep, five cattle and three dairy goats) were closely monitored.ResultsIn 2023, BTV‐3 infections were confirmed by real‐time polymerase chain reaction in sheep flocks (n = 1807), cattle herds (n = 1864), goat herds (n = 62), alpaca and/or llama herds (n = 15) and one dog. Sheep exhibited the most severe clinical signs and had the highest mortality. In other animal species, a large variation in both occurrence and severity of clinical signs was observed.LimitationOnly 13 farms were closely monitored.ConclusionsThe clinical signs observed in affected animals during the 2023 BTV‐3 outbreak seem to be more severe than those observed during the BTV‐8 outbreak between 2006 and 2008. It seems likely that BTV‐3 will overwinter, similar to BTV‐8. Therefore, the availability of an effective and safe vaccine is crucial to limit the future impact of BTV‐3.
Early sterile splenic abscess following vehicular trauma in a dog
Authors: O'Connor Courtney D. , Flores Rebecca 
Published: August 2024

AbstractA dog presented 24 hours following vehicular trauma. The dog presented in hypovolaemic shock and developed a progressive haemoperitoneum and anaemia over the following 2 days. Initial ultrasonography was concerning for a splenic mass, suspected to be a haematoma. The dog developed a waxing and waning fever despite broad‐spectrum antimicrobials, intermittent anorexia and abdominal pain. Exploratory celiotomy 10 days following trauma revealed a sterile splenic abscess, with complete resolution of clinical signs following splenectomy. Histopathology yielded a diagnosis of a sterile necropurulent abscess with no bacterial growth. This report suggests that a splenic abscess should be considered in post‐trauma patients with a fever, leukocytosis or abdominal pain.
Neutrophilic dermatosis resembling pyoderma gangrenosum in a dog with multicentric lymphoma
Authors: Lange Anja , Mayer Ursula , Apostolopoulos Neoklis 
Published: August 2024

AbstractAn 8‐year‐old, female, neutered small Munsterlander presented with multiple ulcerative lesions. Some of these wounds had undermined violaceous borders, indicating lesions of pyoderma gangrenosum. Furthermore, a multicentric lymphoma was identified. The administration of chemotherapy and both systemic and topical immunosuppressive treatments resulted in the complete remission of all symptoms for approximately 6 months. However, the dog had to be euthanased due to a possible recurrence of both diseases, characterised by the reappearance of comparable skin lesions, swollen lymph nodes in the peripheral areas and a decline in overall health.
Successful treatment of perianal canine papillomavirus type‐1‐associated viral epidermal plaques and squamous cell carcinoma in situ by electrochemotherapy
Authors: Boncea Ana Maria , Cristea Anca , Ramsauer Anna Sophie , Gal Claudiu , Taulescu Marian 
Published: August 2024

AbstractA 2‐year‐old, female labrador retriever developed multiple pruritic perianal viral epidermal plaques and squamous cell carcinomas in situ. Molecular tests confirmed the infection with canine papilloma virus type 1. Electrochemotherapy was chosen as a first‐line treatment, and proved beneficial.
Thermal analysis of MHD unsteady Darcy‐Forchheimer thin film flow in a porous system
Authors: G Gomathy , Kumar B. Rushi 
Published: August 2024

AbstractThis study has investigated a Darcy‐Forchheimer thin film flow over an extended horizontal surface with thermal radiation and chemical reaction effects. The governing time‐dependent equations have been non‐dimensionalized using similarity transformations and solved numerically using the fourth‐order Runge‐Kutta method and the shooting technique. The influence of magnetohydrodynamics, non‐uniform heat sourcing, viscous heat radiation, and chemical reactions on temperature, velocity, skin friction, Nusselt, and Sherwood numbers has been examined. Results have shown that porous media, magnetic field, and transient effects decrease the velocity profile, while thermal radiation and variable thermal properties enhance temperature distributions. Findings have indicated that the magnetic field and porosity enhance the skin friction coefficient whereas the heat transfer rate increases with Eckert number and Prandtl number. Rising the chemical reaction parameter from 0.2 to 0.5 rises the mass transfer rate by approximately 9.85%. The thermal analysis of MHD Darcy‐Forchheimer thin film flow in a porous system has been crucial for understanding heat transfer and fluid dynamics in complex environments. It helped in optimizing various engineering processes, such as cooling systems, filtration, and energy conversion, by providing insights into temperature distribution, convective heat transfer, and fluid behavior. This analysis has aided in designing efficient and reliable systems with improved performance and reduced energy consumption.
The secret lives of wedgefish: first insights into fine-scale behaviour and movement ecology of a globally imperilled ray
Authors: Lear Karissa O. , Estrabeau Carlos , Morgan David L. , Whitney Nicholas M. , Gleiss Adrian C. , Bignell Colby , Pillans Richard D. , Bateman Rebecca L. 
Published: August 2024

AbstractWedgefishes have recently been recognised as one of the most imperilled marine fish families worldwide. However, many knowledge gaps about their biology and ecology hinder conservation efforts. Here we used a combination of acoustic telemetry and acceleration datalogger technology to gain fundamental insights into the fine-scale behaviour, habitat use, size of activity spaces, and residency of adult female bottlenose wedgefish (Rhynchobatus australiae) in the Ningaloo region of northwestern Australia. Acoustic tracking data over one year demonstrated that female bottlenose wedgefish continuously resided in a relatively small area of a productive coral reef lagoon. Acceleration data revealed that bottlenose wedgefish were nocturnal, with time of day having a greater influence on activity than tidal patterns. Bottlenose wedgefish also increased activity with seasonally increasing temperatures. We identified several discrete behavioural signatures in the acceleration data, inferred to correspond to chafing, settling/burying behaviour, foraging behaviour, and escape behaviour, based on their kinematics. Further observations are required to confirm these behaviours with certainty. Additionally, according to datalogger and acoustic data, tagged bottlenose wedgefish rarely inhabited areas greater than 2 m deep. Together, these first insights into behaviour and habitat use of adult female bottlenose wedgefish highlight the importance of nearshore habitats for this species and indicate that they may be highly resident to specific areas. Our findings provide important insight into the conservation of bottlenose wedgefish in northwestern Australia, including potential effectiveness of protected areas and interactions with specific anthropogenic threats such as shoreline development and recreational beach fishing.
A proposed framework for crop yield prediction using hybrid feature selection approach and optimized machine learning
Authors: Abdel-salam Mahmoud , Kumar Neeraj , Mahajan Shubham 
Published: August 2024

AbstractAccurately predicting crop yield is essential for optimizing agricultural practices and ensuring food security. However, existing approaches often struggle to capture the complex interactions between various environmental factors and crop growth, leading to suboptimal predictions. Consequently, identifying the most important feature is vital when leveraging Support Vector Regressor (SVR) for crop yield prediction. In addition, the manual tuning of SVR hyperparameters may not always offer high accuracy. In this paper, we introduce a novel framework for predicting crop yields that address these challenges. Our framework integrates a new hybrid feature selection approach with an optimized SVR model to enhance prediction accuracy efficiently. The proposed framework comprises three phases: preprocessing, hybrid feature selection, and prediction phases. In preprocessing phase, data normalization is conducted, followed by an application of K-means clustering in conjunction with the correlation-based filter (CFS) to generate a reduced dataset. Subsequently, in the hybrid feature selection phase, a novel hybrid FMIG-RFE feature selection approach is proposed. Finally, the prediction phase introduces an improved variant of Crayfish Optimization Algorithm (COA), named ICOA, which is utilized to optimize the hyperparameters of SVR model thereby achieving superior prediction accuracy along with the novel hybrid feature selection approach. Several experiments are conducted to assess and evaluate the performance of the proposed framework. The results demonstrated the superior performance of the proposed framework over state-of-art approaches. Furthermore, experimental findings regarding the ICOA optimization algorithm affirm its efficacy in optimizing the hyperparameters of SVR model, thereby enhancing both prediction accuracy and computational efficiency, surpassing existing algorithms.
The cutting-edge roles of lasers in endodontics: A bibliometric and scientometric analysis of the 100 most-cited articles
Authors: Usta Sıla Nur , Betancourt Pablo , Ceylan Alper , Keskin Cangül 
Published: August 2024

Abstract
Purpose: This bibliometric and scientometric analysis aimed to delve into the forefront roles of lasers in endodontics from 1990 to 2024. Methods: A comprehensive electronic search was conducted using “Clarivate Analytics Web of Science, All Databases” to retrieve the most-cited articles pertaining to the topic. These articles were then ranked in descending order according to their citation counts and the top 100 were selected for further analysis. Parameters including citation density, publication year, journal, journal impact factor (IF), country, institution, author, study design, study field, evidence level, laser type, and keywords were meticulously analyzed. Results: The mean and standard deviations of total citation and citation density were 106.47 ± 65.76 and 7.61 ± 5.13, respectively. Positive and negative correlations were found between the number of citations and citation density and age of publication. While the mean number of citations was significantly higher in the period 2001–2010 compared to the other periods (P < 0.05), values were similar between the periods 1990–2000 and 2011–2014 (P > 0.05). Articles were mainly published in the Journal of Endodontics. The most productive country, institutions, and author were the United States, the University of Showa, and Koukichi Matsumoto. Diode and Er: YAG lasers were commonly investigated. Ex vivo studies were mainly performed followed by in vitro ones. The main study field was “antimicrobial effect”. Among keywords, “photodynamic therapy” was used more frequently. Conclusion: Lasers are predominantly utilized to leverage their antimicrobial efficacy. Advancements in technology will lead to improvements in the properties of lasers, thereby enhancing the disinfection of the root canal system.