bluuebunny/crossref_metadata_2025_split huggingface dataset:
A chromosome-level genome assembly of the European green toad (Bufotes viridis)
Authors: Rödin-Mörch Patrik , Bunikis Ignas , Choi Eunkyoung , Ciofi Claudio , Diedericks Genevieve , Diroma Maria Angela , Einarsdóttir Elísabet , Försäter Kristofer , Heintz Julia , Jonsäll Linnea , Lantz Henrik , Laurila Anssi , Leitão Henrique G , Mosbech Mai-Britt , Natali Chiara , Olsen Remi-André , Vinnere Pettersson Olga , Soler Lucile , Svardal Hannes , Proux-Wéra Estelle , Höglund Jacob 
Published: February 2025

Abstract
The European green toad (Bufotes viridis) is geographically widely distributed. While the species global conservation status is labeled as of least concern by the IUCN, it is declining in many parts of its range where populations are fragmented and isolated. A high-quality reference genome is an important resource for conservation genomic researchers who are trying to understand and interpret the genomic signals of population decline, inbreeding, and the accumulation of deleterious mutations. Here, we assembled and annotated a chromosome-level reference genome for B. viridis as part of the European Reference Genome Atlas pilot project. The genome assembly, with a size of ∼3.89 Gb consists of 11 chromosomes and an additional 2,096 unplaced scaffolds. The final assembly had a scaffold N50 value of 478.39 Mb and covered 90.4% single copy tetrapod orthologs, and 46.7% repetitive elements. Finally, a total of 23,830 protein-coding genes matching a known gene, together with 56,974 mRNAs were predicted. This high-quality reference genome will benefit amphibian evolutionary genomics research and enable conservation genetic studies to inform practical conservation work on this species.
Integrating Machine Learning and Environmental and Genetic Risk Factors for the Early Detection of Preclinical Alzheimer's Disease
Authors: Al-Hammadi Noor , Abouelyazid Mahmoud , Brown David C , Lalwani Pooja , Devos Hannes , Carr David B , Babulal Ganesh M 
Published: February 2025

Abstract

Objective
This study classified preclinical Alzheimer’s disease (AD) using cognitive screening, neighborhood deprivation via the Area Deprivation Index (ADI), and sociodemographic and genetic risk factors. Additionally, it compared the predictive accuracy of multiple machine learning algorithms and examined model performance with two bootstrapping procedures.

Methods
Data were drawn from a longitudinal cohort that required participants to be age 65 or older, cognitively normal at baseline, and active drivers, defined as taking at least one trip a week. Naturalistic driving data were collected using a commercial datalogger. Biomarker positivity was determined via amyloid pathology using cerebrospinal fluid and positron emission tomography imaging. ADI was captured based on geocoding latitude and longitude to derive a national ranking for the specific location (home or unique destination). Machine learning algorithms classified preclinical AD. Each individual model’s predictive ability was confirmed in a 20% testing dataset with 100 rounds of resampling with and without replacement.

Results
Among 292 participants (n = 2,792 observations), including ADI of trip destinations, participants’ home ADI, and frequency of trips to the same ADI led to a slight but notable improvement in predicting preclinical AD. The ensemble model demonstrated superior predictive performance, highlighting the potential of integrating multiple models for early AD detection.

Discussion
Our findings underscore the importance of incorporating socioeconomic and environmental variables, such as neighborhood deprivation, in predicting preclinical AD. Addressing socioeconomic disparities through public health strategies is crucial for mitigating AD risk and enhancing the quality of life for older adults.
Overconfidence and Financial Risk Tolerance in Older Age
Authors: Frank Colleen C , Mottola Gary R , Chen Meiru , Yu Lei , Boyle Patricia A , Samanez-Larkin Gregory R , Seaman Kendra L 
Published: February 2025

Abstract

Objectives
Excessive financial risk taking in older age can have harmful consequences as opportunities to recover lost wealth are limited. Understanding financial risk taking in older age is important for identifying vulnerabilities and developing interventions to empower aging investors to make wise financial choices. In this paper, we explore how overconfidence in financial knowledge affects financial risk-taking among older adults.

Methods
We examine this research question in older adults aged 58-101 (N = 1242) using data from the Rush Memory and Aging Project (MAP).

Results
After controlling for demographics, overconfidence was associated with self-reported financial risk tolerance such that those who were more overconfident reported tolerating more financial risks. Moreover, this relationship emerged for both healthy older adults and those diagnosed with mild cognitive impairment (MCI). However, overconfidence did not predict performance on a behavioral measure of risk aversion.

Discussion
The present results suggest that overconfidence may partially contribute to financial risk-taking in older adults, regardless of cognitive status. Thus, interventions aimed at calibrating confidence to actual levels of financial knowledge could be an impactful target for intervention.
The Updated Genome Warehouse: Enhancing Data Value, Security, and Usability to Address Data Expansion
Authors: Ma Yingke , Zhao Xuetong , Jia Yaokai , Han Zhenxian , Yu Caixia , Fan Zhuojing , Zhang Zhang , Xiao Jingfa , Zhao Wenming , Bao Yiming , Chen Meili 
Published: February 2025

Abstract
The Genome Warehouse (GWH), accessible at https://ngdc.cncb.ac.cn/gwh, is an extensively utilized public repository dedicated to the deposition, management and sharing of genome assembly sequences, annotations, and metadata. This paper highlights noteworthy enhancements to the GWH since the 2021 version, emphasizing substantial advancements in web interfaces for data submission, database functionality updates, and resource integration. Key updates include the reannotation of released prokaryotic genomes, mirroring of genome resources from National Center for Biotechnology Information (NCBI) GenBank and Reference Sequence Database (RefSeq), integration of Poxviridae sequences, implementation of an online batch submission system, enhancements to the quality control system, advanced search capabilities, and the introduction of a controlled-access mechanism for human genome data. These improvements collectively augment the ease and security of data submission and access as well as genome data value, thereby fostering heightened convenience and utility for researchers in the genomics field.
Research on detection of new energy power line based on computer vision
Authors: Qi Weiqiang , Yuan Zonghui , Tan Lei , Wang Zhi 
Published: February 2025

Abstract
In this paper, an anomaly detection method for transmission lines based on computer vision is proposed. Firstly, the original image is transformed into gray level, then the image quality is optimized by Gamma correction strategy, the line edge information is extracted by Canny algorithm, and the detection target image is obtained by introducing two-dimensional Otsu threshold segmentation technology. Finally, the image to be measured is compared with the image in the knowledge base by computer vision technology, and the similarity is calculated to determine whether the transmission line conductor has broken strands.
Influence of Cellular Aging on Liver Stiffness in HCV Patients Achieving Sustained Viral Response
Authors: Gonzalez-Serna Alejandro , Corma-Gomez Anaïs , Cano Mercedes , Ricardo Rubio-Sánchez , Martín-Sierra Carmen , Rincón Pilar , Martín-Carmona Jesica , Pérez Margarita , Pineda Juan Antonio , Real Luis Miguel , Macias Juan 
Published: February 2025

Abstract

Background
Liver stiffness (LS) is not reduced in 10-30% of patients who achieve sustained viral response (SVR) after HCV elimination with direct-acting antivirals (DAA). Our aim was to analyze whether the parameters associated with cellular aging measured at the DAA initiation date are related to LS reduction upon achieving SVR.

Methods
Prospective cohort study (GEHEP-011; clinicaltrials.gov ID: NCT04460157). We measured several parameters associated with cellular aging, such as telomere attrition, mitochondrial alterations, and soluble biomarkers associated with Senescence-Associated Secretory Phenotype (SASP) at the DAA initiation date, and examined their associations with a significant (≥20%) LS decrease at the SVR time point.

Results
In total, 175 individuals were included in this study. In 101 (57.7%) patients, the LS reduction was ≥20% at SVR. In the multivariate analysis adjusted for sex, age, CXCL10, hsPCR, and CCL11 levels, greater relative telomere length (RTL) emerged as the sole variable independently associated with a significant LS decrease in SVR (95% CI, 1.102 (1.001-1.1214), p=0.047). Furthermore, changes in LS, including significant decreases and decreases of &lt;20% or increases, were congruently associated with RTL (p=0.011).

Conclusions
Greater RTL was independently associated with a significant LS reduction in SVR. Thus, increased cellular aging may be responsible for the absence of liver regeneration after HCV eradication. Further studies are required to assess the long-term effects of cellular aging after SVR.
Wetland pesticide exposure in agricultural regions: A case study from Uruguay
Authors: Nion Camila Fernández , Díaz Isasa Ismael 
Published: February 2025

Abstract
The intensification of agricultural practices has led to an increased reliance on pesticides, which has become a significant environmental concern due to their adverse effects on ecosystems and human health. In Uruguay, the escalation of pesticide use has been accompanied by detrimental effects on ecosystems critical for conservation. Understanding the dynamics of these widespread pollutants necessitates an in-depth comprehension of the application of active ingredients, their spatial distribution, and their environmental fate. This study aims to assess the exposure of wetland ecosystems in Uruguay’s primary agricultural zone to pesticides. The research integrates remote sensing techniques to identify crop rotations, determining the predominant active ingredients and their rates of use in agricultural cycles, estimating pesticide distribution patterns and environmental mobility, and evaluating wetland exposure. The study reveals widespread use of active chemicals such as glyphosate, 24-D, flumioxazin, S-metolachlor, clethodim, flumetsulam, triflumuron, chlorantraniliprole, and fipronil, with 27.4% of wetland areas experiencing significant exposure. This study provides a comprehensive method for georeferencing pesticide applications, estimating spatial distribution, and assessing wetland vulnerability to agricultural chemicals, offering valuable insights for environmental management and policy-making.
Assessing the impact of using a patient counselling prompt—the TARGET antibiotic checklist in England’s community pharmacies
Authors: Parekh Sejal , Xu Lingqian , Hayes Catherine V , Hand Kieran , Ashiru-Oredope Diane , Lecky Donna M 
Published: February 2025

Abstract

Background
An estimated 1.27 million deaths globally were caused by antibiotic-resistant infections in 2019. Outcome 2 of the UK national action plan to combat antimicrobial resistance is improved public engagement and education with a specific and measurable target.

Objectives
To evaluate and compare 2 years of the use of the TARGET antibiotic checklist in England’s community pharmacies via the Pharmacy Quality Scheme (PQS).

Methods
The use of the TARGET antibiotic checklist was incentivized in the PQS for 2021–22 and 2023–24 for patients presenting with antibiotic prescription in community pharmacy during a 4 week period each year.

Results
A total of 406 333 patients were counselled using the TARGET antibiotic checklist, with 10 081 community pharmacies participating in either year and 6209 community pharmacies participating in both years. The most common indications for both years were chest and urinary tract infections with amoxicillin and nitrofurantoin, respectively, being the most frequently prescribed antibiotics for both PQS years examined. A total of 27 898 influenza vaccinations were delivered by community pharmacies prompted by discussions whilst using the antibiotic checklist. In addition, 140 473 patient information leaflets were provided to patients to improve knowledge about their condition and treatment and to support future self-care.

Discussion
The investment in training and resources for community pharmacies through the PQS has provided opportunities for strengthening antimicrobial stewardship by equipping them with the tools to improve patient knowledge of antibiotic use, symptom resolution and antimicrobial resistance using the TARGET antibiotic checklist, as well as other resources from the TARGET Antibiotics Toolkit.
Evaluation of a Novel Capillary Blood Collection System for Blood Sampling in Nontraditional Settings as Compared with Currently Marketed Capillary and Venous Blood Collection Systems for Selected General Chemistry Analytes
Authors: Parikh Monisha , Wimmer Cathy , DiPasquale Christopher , Barr Roy L , Jacobson James W 
Published: February 2025

Abstract

Background
Nontraditional sites for blood collection, including retail pharmacies, can expand access to laboratory testing. Three studies assessed the BD® MiniDraw™ Capillary Blood Collection System (BD MiniDraw) along with the BD MiniDraw SST™ Capillary Blood Collection Tube (BD MiniDraw SST tube). This system allows trained healthcare workers to collect capillary blood without requiring phlebotomy experience, in accordance with state laws.

Methods
Studies 1 and 2 evaluated clinical equivalence for selected serum chemistry analytes in the BD MiniDraw compared with currently marketed capillary and venous comparators. Study 3 evaluated within-tube stability for selected analytes up to 48 h in BD MiniDraw SST tubes following storage (2°–8°C). Contrived specimens were prepared to cover medically relevant ranges. Testing was performed on one general chemistry core laboratory analyzer in each study. Clinical equivalence was demonstrated if the biases and 95% limits were within a predefined clinical acceptance limit at all medical decision levels and time points for stability.

Results
Clinical equivalence was demonstrated for all analytes for BD MiniDraw vs capillary and venous comparators except alanine aminotransferase and chloride for the venous comparator in study 1. Both showed clinical equivalence at the upper limit of the reference range; the confidence interval exceeded the clinical acceptance limit at the lower limit. Within-tube stability was demonstrated in BD MiniDraw SST tubes up to 48 h for all selected analytes.

Conclusions
The BD MiniDraw presents an option for blood collection in nontraditional settings that is clinically equivalent to conventional capillary and venous collection for the specified analytes.
Accurate ripening stage classification of pineapple based on visible and near-infrared hyperspectral imaging system
Authors: Chang Hongjuan , Qinghua Meng , Wu Zhefeng , Tang Liu , Qiu Zouquan , Ni Chunyu , Chu Jiahui , Fang Juncheng , Huang Yuqing , Li Yu 
Published: February 2025

Abstract

Background
Pineapples are a popular tropical fruit with economic value, and determining the optimum ripeness of pineapples to assess their quality is crucial for harvesting, marketing, production and processing.

Objective
In this study, spectral information and soluble solid content (SSC) of pineapple ripening stages (unripe, ripe and overripe) were analyzed by 400–1000 nm hyperspectral imaging in order to determine the best classification model of pineapple ripening.

Method
Four different preprocessing methods, i.e., standard normal variate (SNV), multiplicative scatter correction (MSC), normalization, and Savitzky-Golay (SG) smoothing, in combination with successive projection algorithms (SPA) and bootstrapping soft shrinkage (BOSS) for feature wavelength extraction, were used to compare the full-wavelength and the two types of feature extraction support vector machine (SVM), extreme learning machine (ELM), K-nearest neighbor (KNN), and random forest (RF), four supervised machine learning classifiers for maturity classification.

Results
For pineapple ripeness classification, SNV preprocessing RF showed the best results with 94.44% accuracy at both full wavelength and 28 wavelengths selected in SPA. A total of 33 wavelengths selected from BOSS achieved a test accuracy of 97.22% by RF.

Conclusions
These results demonstrate the potential of NIR-HSI as a non-destructive, fast and correct tool for pineapple ripeness identification. The method can be applied to classify and grade marketed pineapple fruits to address pineapple quality issues related to uneven ripeness.

Highlights
The visible and near-infrared hyperspectral imaging (VIS-NIR-HSI) system combining machine learning and wavelength selection successfully classified pineapple ripening stages, an approach that could improve the ability to classify pineapples at the ripening stage in large packaging companies. In addition, finding key wavelengths or features that can be classified corresponding to pineapple ripening stages has the advantage of developing a low-cost, fast, and effective multispectral imaging system compared to the NIR-HSI system.
Improving genetic gain in postpartum cows: A modified ovarian superstimulation protocol for ovum pick-up-in vitro embryo production during the voluntary waiting period
Authors: Xiao Jinbang , Tian Manyuan , Yuan Haojie , Ren Hongyu , Li Heiqiang , Xie Chengyun , Huang Cong , Wang Bingke , Wang Yongsheng , Jin Yaping , Lin Peifeng 
Published: February 2025

Abstract
Ovarian superstimulation-ovum pick-up (OPU) technology facilitates the rapid propagation of animals with excellent genetic potential, substantially shortening the interval between generations. Research regarding OPU implementation during the voluntary waiting period (VWP), a phase with potential for maximizing genetic gains in high-yield herds, is limited. We aimed to optimize the dosage and frequency of follicle-stimulating hormone (FSH) injections in postpartum cows to develop an ovarian superstimulation protocol during the VWP for OPU-IVF and assess its effect on milk production and reproductive performance. Cows with more than three parities and within the top 10% of 305-day milk yield were selected as OPU donors. Donor cows were eligible for ovarian superstimulation starting at 40 days in milk (DIM) if they had completed uterine involution and showed no signs of intrauterine infection. Two superstimulation protocols were compared: three injections of 167 IU FSH (FSH-3 group) and five injections of 100 IU FSH (FSH-5 group). Donor cows underwent OPU between DIM 40–75, followed by a 10–15-day waiting period before artificial insemination (AI). A total of 95 cows (113 OPU sessions) were assigned to the FSH-5 group and 116 cows (135 OPU sessions) to the FSH-3 group. Milk yield data during this period and subsequent reproduction records of these donor cows were compared with those of non-donor cows. The results showed that the FSH-3 group achieved better results, including more 2–6-mm follicles and 6–10-mm follicles, a greater total follicle count, and greater recovery of cumulus-oocyte complexes (p&lt;0.05). Additionally, the FSH-3 group produced more greater-grade oocytes, resulting in better production of blastocysts (p&lt;0.05). Although the application of superstimulation-OPU to donor cows during the VWP delayed the DIM of the first AI (p&lt;0.05), it significantly increased the pregnancy rate (p&lt;0.05) and did not affect the subsequent reproductive performance of the parity. Milk yield temporarily declined on the day of OPU, but it gradually recovered. In summary, the FSH-3 protocol generated an average of more than four embryos per cow during the VWP without compromising reproductive performance, including service and pregnancy rates. These results suggest that the FSH-3 protocol is an effective strategy for obtaining embryos from high-yield cows during the VWP, enhancing genetic gain and accelerating breeding programs with minimal effect on future fertility.
Stochastic ecological processes assemble soil microbial communities in degraded patches of alpine grassland in the Sanjiangyuan National Park on the Qinghai-Tibetan Plateau, China
Authors: Chen Xin , Li Qi , Chen Dongdong , Zhao Liang , Xiao Chunwang 
Published: February 2025

Abstract
Alpine meadows in Sanjiangyuan (SJY) National Park are experiencing degradation, and soil microbes play a critical role in maintaining the health and stability of these ecosystems. Soil microbes showed strong habitat specificity during meadow degradation, but we poorly understood the ecological assembly processes in soil microbial communities. This study explores the changes in ecological components across original and degraded patches of alpine meadows in SJY National Park. We examined vegetation-soil characteristics through field surveys, and soil microbial community structure by using high-throughput sequencing techniques. At the macro level, alpine meadows degradation increased vegetation species diversity, significantly reduced above-ground productivity, and made the soil more barren and alkaline. At the micro level, although the dominant phyla of soil microorganisms were similar in different degradation states of alpine meadows, degradation significantly increased the relative abundance of oligotrophic bacteria and decreased the relative abundance of dominant fungi. Additionally, microbial communities exhibited significant β-diversity. Degradation also led to an increase in microbial α-diversity, heightened microbial taxa competition, and a more complex microbial co-occurrence network. However, vegetation-soil variables explained only a small portion of the variation in soil microbes. Through the study of microbial ecological assembly processes, it was found that degradation enhanced the stochastic processes of soil microbial communities, and the changes in soil microbial communities were mainly driven by the variations inherent in the microbes themselves. These findings highlight the complex ecological interactions between above- and below-ground components, and emphasize the critical role of microbial community dynamics in ecosystem functions.
Rossinian Reiz: Strategic Musical Irritation and the Capturing of Attention
Authors: Boyle Matthew L C 
Published: February 2025

Abstract
Rossini’s contemporaries frequently described his operas as irritating. Some critics felt his music combined irritation with pleasure, while others felt it overstimulated them with disruptive sensuality. To analyze Rossini’s stylistic irritation, I propose a theory of musical irritation that finds it to be alluring. I call this strategic use of irritation Reiz. The function of Reiz is to seize audience attention through three modes of experience: the disruptive, the overwhelming, and the ecological. Reiz may affect a work’s orchestration, text setting, harmony, and counterpoint, and usually undercuts sentimental expression. These Rossinian techniques suggest models for analyzing recent media.