bluuebunny/crossref_metadata_2025_split huggingface dataset:
Landscape context affects patch habitat contributions to biodiversity in agroecosystems
Authors: Duff Hannah , Debinski Diane , Maxwell Bruce D. 
Published: June 2024

AbstractEffective conservation schemes are needed to advance the dual objectives of biodiversity conservation and agronomic production in agricultural landscapes. Understanding how plant and arthropod taxa respond to both local habitat patch characteristics and landscape complexity is crucial for planning effective agri‐environment schemes. This study investigated the relative effects of local variables (plant and insect diversity ≤100 m from patch habitat center) and landscape variables (landscape composition and configuration metrics ≤5 km from patch habitat center) on the diversity of plants and arthropods within noncrop habitat patches (1) at different spatial extents ranging from 0.1 to 5 km, while (2) quantifying differential effects of local and landscape variables on particular components of diversity (i.e., species richness and abundance), and accounting for (3) particular components of landscape extent (0.1‐, 0.5‐, 1‐, 2‐, and 5‐km radii) and complexity (i.e., landscape composition and configuration). Landscape variables were significantly correlated with local plant and arthropod species richness and abundance at all spatial extents. Biodiversity responses to landscape variables were largely scale‐dependent, as pairwise comparisons were significantly different between all spatial extents except between 1‐ and 2‐km extents, and correlations were lowest at the 5‐km extent. Partial R2 values for predicting local biodiversity were highest when both local and landscape variables were included as predictors of species richness and abundance, increasing from 0.163 to 0.469 when landscape variables were included, underscoring the importance of considering both local and landscape effects on local diversity. Landscape configuration variables accounted for more variation in plant and arthropod species richness than composition variables. However, models performed best when composition and configuration were considered together rather than alone, suggesting that both components of landscape complexity should be considered for identifying and managing conservation areas in crop fields. Existing conservation schemes that incentivize farmers to create or conserve seminatural patch habitat within crop fields may be more effective when combined with landscape‐scale designs that enhance landscape complexity across the Northern Great Plains. Local conservation efforts should be coordinated with landscape‐level efforts to ultimately enhance biodiversity and desired ecosystem service outcomes across agricultural landscapes.
Understanding the Role of Internal Lewis Acids in the Catalytic Activity of Urea‐Based Hydrogen Donors
Authors: Portela Susana , Fernández Israel 
Published: June 2024

AbstractDetailed quantum‐chemical calculations have been carried out to understand both the origin of the catalysis in the urea‐catalyzed nucleophilic ring‐opening of nitrocyclopropanes and the acceleration induced by the presence of an internal Lewis acid in the catalyst. To this end, the mode of activation of these ureas is quantitatively analyzed in detail by means of the Activation Strain Model of reactivity in combination with the Energy Decomposition Analysis method. It is found that the presence of the Lewis acid in the urea further enhances the interaction between the reactants, by increasing both the electrostatic and orbital attractions, which translates into a reduced activation barrier. This insight is also used to assess the impact of the nature of the Lewis acid on the transformation, facilitating the rational design of more active catalysts.
A comprehensive review of the aging mechanism and degradation costs of fresh and second‐life batteries based on analytical and deterministic methods
Authors: Terkes Musa , Demirci Alpaslan , Gokalp Erdin 
Published: June 2024

AbstractBatteries' aging evolution and degradation functions may vary depending on the application area and various stress factors. Studies on its aging characteristics are ongoing, considering the unpredictable tendency of battery degradation during first and secondary usage periods. Battery degradation directly affects operating costs and prevents many stakeholders from making reliable short‐ or long‐term investment plans. Thus, this review study first introduces the battery models commonly used by researchers and provides an overview of the aging mechanism and estimation methods for health status and remaining capacity. Analytical and deterministic aging/degradation functions/models proposed by the researchers are discussed in detail, and cost equations based on degradation are reviewed. This approach was followed for the fresh and second‐life batteries by further investigating the impact of stress factors on the aging process and cost. The details of aging prediction approaches based on traditional methods, machine learning, and artificial intelligence are out of the scope of this review article. Discussing the shortcomings of aging analyses/functions and introducing different perspectives on the degradation characteristics will help researchers and provide a roadmap for many stakeholders.
Reducing transaction costs using intraday forecasts of limit order book slopes
Authors: Ahabchane Chahid , Cenesizoglu Tolga , Grass Gunnar , Jena Sanjay Dominik 
Published: June 2024

AbstractMarket participants who need to trade a significant number of securities within a given period can face high transaction costs. In this paper, we document how improvements in intraday liquidity forecasts can help reduce total transaction costs. We compare various approaches for forecasting intraday transaction costs, including autoregressive and machine learning models, using comprehensive ultra‐high‐frequency limit order book data for a sample of NYSE stocks from 2002 to 2012. Our results indicate that improved liquidity forecasts can significantly decrease total transaction costs. Simple models capturing seasonality in market liquidity tend to outperform alternative models.
The ethanolic extract of Osmanthus fragrans var. thunbergii flowers ameliorates depressive‐like behaviors of mice by modulating the serotonin system and suppressing neuroinflammation
Authors: Luo Lu‐yao , Xue Rui , Wang Ting‐ge , Zhang Jing‐wen , Li Shuo , Li Jin‐cao , Fan Qiong‐yin , Dong Hua‐jin , Zhang Yang , Zhang You‐zhi 
Published: June 2024

AbstractIt is crucial to explore the impact of dietary interventions on depression and develop functional antidepressant foods, due to the significant side effects and poor treatment compliance of antidepressant drugs. Osmanthus fragrans flowers are edible and medicinal materials owing to their delightful floral aroma and significant health benefits. Here, we evaluated the antidepressant effects of the ethanolic extract of O. fragrans var. thunbergii flowers (OFE) and investigated the mechanisms of action on the serotonin system and neuroinflammation, and analyzed the main chemical components of OFE. A single administration of OFE significantly reduced the immobility duration in the forced swimming and tail suspension tests in mice without affecting locomotor activity. OFE exhibited selective enhancing effects on 5‐HTergic function in vivo, as demonstrated by its potentiating effects on 5‐hydroxytryptophan (5‐HTP)‐induced head‐twitch behavior and alleviation effects on reserpine‐induced ptosis deficits. In addition, OFE increased 5‐hydroxytryptamine (5‐HT) concentration and upregulated 5‐HT1A expression in reserpine‐treated mice, further validating its effects on 5‐HT transmission. Interestingly, OFE significantly alleviated microglia activation and the production of inflammatory mediators, both in reserpine‐treated mice in vivo and lipopolysaccharide (LPS)‐stimulated BV‐2 cells in vitro. Additionally, 62 components in OFE were identified using ultra‐performance liquid chromatography quadrupole time‐of‐flight high‐resolution mass spectrometry, and glycoside derivatives were shown to be the major constituents of OFE. The present study showed that OFE can alleviate depressive‐like behaviors by modulating the serotonin system and reducing neuroinflammation. These results suggest that OFE can be valuable dietary supplements with therapeutic effects on depression.
Severity and mortality of acute respiratory failure in pediatrics: A prospective multicenter cohort in Bogotá, Colombia
Authors: Vargas‐Acevedo Catalina , Botero Marín Mónica , Jaime Trujillo Catalina , Hernández Laura Jimena , Vanegas Melisa Naranjo , Moreno Sergio Mauricio , Rueda‐Guevara Paola , Baquero Olga , Bonilla Carolina , Mesa María L. , Restrepo Sonia , Barrera Pedro , Mejía Luz M. , Piñeros Juan G. , Ramírez Varela Andrea ,   FARA Group
Published: June 2024

AbstractBackground and AimsAcute respiratory failure (ARF) is the most frequent cause of cardiorespiratory arrest and subsequent death in children worldwide. There have been limited studies regarding ARF in high altitude settings. The aim of this study was to calculate mortality and describe associated factors for severity and mortality in children with ARF.MethodsThe study was conducted within a prospective multicentric cohort that evaluated the natural history of pediatric ARF. For this analysis three primary outcomes were studied: mortality, invasive mechanical ventilation, and pediatric intensive care unit (PICU) length of stay. Eligible patients were children older than 1 month and younger than 18 years of age with respiratory difficulty at the time of admission. Patients who developed ARF were followed at the time of ARF, 48 h later, at the time of discharge, and at 30 and 60 days after discharge. It was conducted in the pediatric emergency, in‐hospital, and critical‐care services in three hospitals in Bogotá, Colombia, from April 2020 to June 2021.ResultsOut of a total of 685 eligible patients, 296 developed ARF for a calculated incidence of ARF of 43.2%. Of the ARF group, 90 patients (30.4%) needed orotracheal intubation, for a mean of 9.57 days of ventilation (interquartile range = 3.00–11.5). Incidence of mortality was 6.1% (n = 18). The associated factors for mortality in ARF were a history of a neurologic comorbidity and a higher fraction of inspired oxygen at ARF diagnosis. For PICU length of stay, the associated factors were age between 2 and 5 years of age, exposure to smokers, and respiratory comorbidity. Finally, for mechanical ventilation, the risk factors were obesity and being unstable at admission.ConclusionsARF is a common cause of morbidity and mortality in children. Understanding the factors associated with greater mortality and severity of ARF might allow earlier recognition and initiation of prompt treatment strategies.
tRNA‐derived fragments: Unveiling new roles and molecular mechanisms in cancer progression
Authors: Lu Jingjing , Zhu Ping , Zhang Xiufen , Zeng Linzi , Xu Bujie , Zhou Ping 
Published: June 2024

AbstracttRNA‐derived fragments (tRFs) are novel small noncoding RNAs (sncRNAs) that range from approximately 14 to 50 nt. They are generated by the cleavage of mature tRNAs or precursor tRNAs (pre‐tRNAs) at specific sites. Based on their origin and length, tRFs can be classified into three categories: (1) tRF‐1 s; (2) tRF‐3 s, tRF‐5 s, and internal tRFs (i‐tRFs); and (3) tRNA halves. They play important roles in stress response, signal transduction, and gene expression processes. Recent studies have identified differential expression of tRFs in various tumors. Aberrantly expressed tRFs have critical clinical value and show promise as new biomarkers for tumor diagnosis and prognosis and as therapeutic targets. tRFs regulate the malignant progression of tumors via various mechanisms, primarily including modulation of noncoding RNA biogenesis, global chromatin organization, gene expression regulation, modulation of protein translation, regulation of epigenetic modification, and alternative splicing regulation. In conclusion, tRF‐mediated regulatory pathways could present new avenues for tumor treatment, and tRFs could serve as promising therapeutic targets for cancer therapy.
Degradation of dairy wastewater using sustainable nanotechnology composed of a‐Fe2O3/TiO2 rod‐shaped material and photocatalytic process: a complementary treatment approach for industrial wastewater
Authors: Espinoza‐Villalobos Nicole , Rojas Susana , Barrientos Lorena , Salazar‐González Ricardo , Luna Damari , Flores Caetano , Escalona Néstor 
Published: June 2024

AbstractBACKGROUNDHigh water consumption and the toxic pollutants found in industrial wastewater are key challenges in achieving a more sustainable development. In this sense, it is crucial to develop sustainable ways to reduce the organic pollutants found in wastewater and to promote its reuse.RESULTSIn this study, a simple, low‐cost, and environmentally friendly path for dairy wastewater decontamination through photocatalysis using rod‐shaped α‐Fe2O3/TiO2 type II heterojunctions is reported. The photoreaction of the model solution was evaluated under UVA‐visible irradiation with different amounts of α‐Fe2O3 over TiO2, lactose as pollutant concentrations, Cl− and SO42− anions effects, and oxidant ambient showing up to 42% lactose degradation without the addition of oxidant ambient. Optimized parameters (1.0%wt α‐Fe2O3/TiO2, [catalyst] = 0.5 g L−1, [lactose] = 0.7 g L−1, [H2O2] = 10 mM, [O2] = constant) were used on dairy wastewater, which showed a 63% total organic carbon reduction and a 56% chemical oxygen demand reduction. The composite was easily recovered by decantation with a turbidity reduction of ~ 99%. The photocatalyst reusability was assessed over three successive uses and it maintained its activity with a loss of only 10%.CONCLUSIONThis study offers a promising approach for the development of innovative sustainable nanotechnology to efficiently degrade organic pollutants commonly found in dairy wastewater and improve its quality within a shorter timeframe. Our approach could contribute to the development of efficient and cost‐effective complementary technologies for the Sequencing Batch Reactor in the treatment of dairy wastewater, thus contributing to the sustainability of the dairy industry. © 2024 Society of Chemical Industry (SCI).
Long‐term outcomes of ventricular tachycardia ablation in repaired tetralogy of Fallot: Systematic review and meta‐analysis
Authors: Prana Jagannatha Gusti Ngurah , Mendel Brian , Labi Nikita Pratama Toding , Aji Wingga Chrisna , Kosasih Anastasya Maria , Adrian Jonathan , de Liyis Bryan Gervais , Pertiwi Putu Febry Krisna , Antara I Made Putra Swi 
Published: June 2024

AbstractBackgroundVentricular tachycardia (VT) remains a risk in repaired Tetralogy of Fallot (rTOF); however, long‐term benefits of VT ablation have not been established. This study compares the outcomes of rTOF patients with and without VT ablation.MethodsWe searched multiple databases examining the outcomes of rTOF patients who had undergone VT ablation compared to those without ablation. Primary outcomes were VT recurrence, sudden cardiac death (SCD), and all‐cause mortality. Subgroup analysis was conducted based on the type of ablation (catheter and surgical). Slow‐conducting anatomical isthmus (SCAI)‐based catheter ablation (CA) was also analyzed separately. The secondary outcome was the risk factors for the pre‐ablation history of VT.ResultsFifteen cohort studies with 1459 patients were included, 21.4% exhibited VTs. SCAI was found in 30.4% of the population, with 3.7% of non‐inducible VT. Factors significantly associated with VT before ablation included a history of ventriculostomy, QRS duration ≥180 ms, fragmented QRS, moderate to severe pulmonary regurgitation, high premature ventricular contractions burden, late gadolinium enhancement, and SCAI. Ablation was only beneficial in reducing VTs recurrence in SCAI‐based CA (risk ratio (RR) 0.11; 95% CI 0.03 to 0.33. p < 0.001; I2 = 0%) with no recurrence in patients with preventive ablation (mean follow‐up time 91.14 ± 77.81 months). The outcomes of VT ablation indicated a favorable trend concerning SCD and all‐cause mortality (RR 0.49 and 0.44, respectively); however, they were statistically insignificant.ConclusionsSCAI‐based CA has significant advantages in reducing VT recurrence in rTOF patients. Risk stratification plays a key role in determining the decision to perform ablation.
Unveiling the power of storytelling and co‐design: Enhancing customer value in cultural boutique hotels
Authors: Piriyakul Intaka , Piriyakul Rapepun 
Published: June 2024

AbstractCultural heritage tourism has created opportunities for small and medium‐sized enterprises in the hospitality industry, including cultural boutique hotels that offer visitors personalized experiences around local arts and culture. To identify effective marketing strategies for these hotels, a study surveyed 300 tourists who stayed at Thai cultural boutique hotels. The study used a synthesis model with two antecedent factors (storytelling and co‐design) and one impact factor (customer value), with hedonism ties as an intervention factor. The results indicated that both antecedent factors positively affected hedonism ties, which positively impacted customer value. The study also found that two target segments played a crucial role in determining the relationship between co‐design and hedonism ties. By adopting marketing strategies based on these findings, cultural boutique hotels can attract and retain customers while contributing to the growth of cultural heritage tourism.
Refining quality measures for electrodiagnostic testing in suspected carpal tunnel syndrome to account for acceptable variations in practice: Expert review process
Authors: Shetty Kanaka D. , Basu Aashna R. , Nuckols Teryl K. ,   the Multi‐Society Working Group for Electrodiagnosis Quality Measures in CTS
Published: June 2024

AbstractIntroduction/AimsUsing a set of process‐of‐care quality measures for electrodiagnostic testing in suspected carpal tunnel syndrome (CTS), the research team previously documented large variations in electrodiagnostic testing practices and adherence to quality measures. This study sought to enhance the applicability and validity of the quality measures by integrating acceptable variations in testing practices.MethodsWe recruited 13 expert electrodiagnostic medicine specialists from five specialty societies. The experts iteratively refined five quality measures, and then rated the validity of the refined quality measures (1–9 scale). During this process, the experts reviewed data on adherence to existing quality measures and variations in electrodiagnostic testing practices, and considered recently published quality measures from the American Association of Neuromuscular and Electrodiagnostic Medicine.ResultsThree quality measures (electrodiagnostic testing before surgery for CTS, temperature assessment during electrodiagnostic testing, and electrodiagnostic criteria for severe median neuropathy) underwent few refinements and were rated valid (medians 8–9). Two measures (essential components of electrodiagnosis, criteria for interpreting electrodiagnostic tests as median neuropathy) were judged valid (medians 8) after revisions. For these measures, experts' ratings on the recommended components of sensory or mixed nerve conduction studies varied: agreement among the experts about the use of sensory peak latency was greater than for onset latency or sensory velocity.DiscussionThis study produced quality measures that provide minimum standards for electrodiagnostic testing for suspected CTS that are more comprehensive and nuanced than prior versions. Future work can assess the feasibility, reliability, and validity of these refined measures in diverse physician practices.
Home care for patients with opioid use disorders: A qualitative study of registered nurses' experiences of pain management
Authors: Jakobsen Mari Asalie Skrenes , Tørmoen Tone Løvås , Klarare Anna , Steindal Simen A. 
Published: June 2024

AbstractAimTo explore registered nurses' experiences with pain management in patients with opioid use disorder (OUD) in home care.DesignQualitative explorative‐descriptive design.MethodsData were collected via nine individual semi‐structured interviews with registered nurses working in home care meeting patients with OUD. Data were analysed using systematic text condensation.ResultsThree categories were identified: Reciprocity in relationships and a professional approach enhance pain management; Discrepancies between guidelines, patient‐reported pain and RNs' observations challenge pain management; and Interprofessional collaboration makes or breaks pain management.
Quantification of the effect of GLP‐1R agonists on body weight using in vitro efficacy information: An extension of the Hall body composition model
Authors: Bosch Rolien , Sijbrands Eric J. G. , Snelder Nelleke 
Published: June 2024

AbstractObesity has become a major public health concern worldwide. Pharmacological interventions with the glucagon‐like peptide‐1 receptor agonists (GLP‐1RAs) have shown promising results in facilitating weight loss and improving metabolic outcomes in individuals with obesity. Quantifying drug effects of GLP‐1RAs on energy intake (EI) and body weight (BW) using a QSP modeling approach can further increase the mechanistic understanding of these effects, and support obesity drug development. An extensive literature‐based dataset was created, including data from several diet, liraglutide and semaglutide studies and their effects on BW and related parameters. The Hall body composition model was used to quantify and predict effects on EI. The model was extended with (1) a lifestyle change/placebo effect on EI, (2) a weight loss effect on activity for the studies that included weight management support, and (3) a GLP‐1R agonistic effect using in vitro potency efficacy information. The estimated reduction in EI of clinically relevant dosages of semaglutide (2.4 mg) and liraglutide (3.0 mg) was 34.5% and 13.0%, respectively. The model adequately described the resulting change in BW over time. At 20 weeks the change in BW was estimated to be −17% for 2.4 mg semaglutide and −8% for 3 mg liraglutide, respectively. External validation showed the model was able to predict the effect of semaglutide on BW in the STEP 1 study. The GLP‐1RA body composition model can be used to quantify and predict the effect of novel GLP‐1R agonists on BW and changes in underlying processes using early in vitro efficacy information.
Computing degree based topological indices for bulky and normal polymers
Authors: Naz Kiran , Ahmad Sarfraz , Bilal Hafiz Muhammad , Siddiqui Muhammad Kamran 
Published: June 2024

AbstractA polymer is a substance or material consisting of very large molecules called macromolecules, composed of many repeating subunits. The bulky and normal polymers are graphs of aromatic organic compounds. The main idea of this article is to elaborate the expected results of Zagreb connection, sombor and reduced sombor indices in bulky and normal polymers. The generalized expected results with the help of probability technique for all the chains like polyonino, pentachain, polyphenyl, cyclooctane cyclodecane and so on different chains for Alkanes have been determined which are connected with and without any bond (edge). The Sombor topological index is named after the city of Sombor in Serbia, where it was introduced by a group of researchers in the field of chemoinformatics and mathematical chemistry. At the end, we have find the meta, ortho and para polymers to define the average values of Zagreb connection, Sombor and reduced Sombor indices.