bluuebunny/crossref_metadata_2025_split huggingface dataset:
The role of insect vector Pentalonia nigronervosa in spreading banana bunchy top disease in South Sumatera
Authors: Arsi  , Pujiastuti Y , Suparman  , Irsan C 
Published: May 2024

Abstract
Banana (Musa spp.) is widely cultivated by the people of South Sumatra. Banana Bunchy Top disease is caused by Banana bunchy top virus (BBTV), which is transmitted by the vector Pentalonia nigronervosa Coquerel (Hemiptera: Aphididae) and asymptomatic banana used for propagation. This study aimed to investigate the role of P. nigronervosa. in determining the distribution pattern of this disease in South Sumatra. The research used survey methods in several districts and cities in South Sumatra, namely Ogan Ilir, Ogan Komering Ilir, OKU East, OKU South, OKU Induk, Palembamg, Prabumulih, Banyuasin, Musi Banyuasin, and Lubuk Linggau. Samples were taken using purposive sampling method if BBTV-infected bananas in an area. The results showed P. nigronervosa was only found in Ogan Ilir and OKU Induk districts, but in fact this disease was spread in 10 districts and cities. A total of 14 banana cultivars in South Sumatera were infected by BBTV transmitted by P. nigronervosa, namely Mas, Cavendish, Putri, Lilin, Nangka, Ambon, Udang, Barangan, Kepok, Gedah, Rottan, Raja, Kapas and Raja Nangka. The highest banana population and percentage of banana plants infested by BBTV was found in the Ogan Ilir district in Mas and Lilin cultivars.
Aphid species found on citrus in Ogan Komering Ilir District, South Sumatra, Indonesia
Authors: Irsan C , Riana N , Anggraini E , Mawarni A , Setiawan I T , Hamidson H , Harun M U 
Published: May 2024

Abstract
Citrus is an economically valuable plantation crop and has high market opportunities. In Southeast Asia, Indonesia is the second largest citrus importer after Malaysia, with an import volume of 160,254 tons; however, various obstacles limiting the cultivation of citrus plants cannot be separated from pests that can affect citrus quality and reduce citrus production. One of the obstacles is insect attacks such as aphids. Therefore, this study aims to determine the species of aphids in citrus. This research was conducted from May to June 2023 in Ogan Komering Ilir Regency using a direct observation method in the field. Observations were made on the parts attacked by aphids and symptoms of attack. The results showed that three species from 1 family of aphids were found. The species found were Toxoptera aurantii, Toxoptera citricidus, and Toxoptera citricola from the Aphididae family. The highest species found in the study was T. aurantii, with 861 individuals, and the lowest species found was T. citricola, with 29 individuals. Aphid species were found mainly on Citrus microcarpa and least on Citrus grandis.
Food preference of the Calliteara cerigoides Walker on several species of Shorea sp. leaves
Authors: Haneda N F , Rambe R A , Anggarawati S H 
Published: May 2024

Abstract

Shorea sp. (meranti) is a wood-producing tree from Indonesia that has many benefits in world trade. Meranti cultivation is carried out to rehabilitate and develop plantation forests. However, meranti cultivation is susceptible to various pest attacks, including Calliteara cerigoides. This study aimed to determine the food preferences of C. cerigoides and to analyze the phytochemical compounds in meranti leaves. Pest food preferences were tested by testing three meranti leaf species on C. cerigoides larvae. Three species of meranti were Shorea selanica, S. pinanga, and Shorea sp. Phytochemical tests were carried out by identifying seven secondary metabolic compounds in meranti leaves. The results showed that C. cerigoides larvae preferred S. selanica leaves and survived until the seventh instar. The content of tannin and hydroquinone phenolic compounds in the leaves of S. pinanga is thought to be an obstacle in the pest’s food preference, causing the larvae to die in the third instar. The content of alkaloid and flavonoid compounds in the leaves of Shorea sp. was suspected to be the cause of the larvae not surviving until the instar phase and only until the fourth instar. Morphological factors and the content of chemical compounds in meranti leaves affect the eating preferences of larvae.
Compatibility of Crown Flower Extract (Calotropis gigantea L.) and Aspergillus sp. to control Spodoptera exigua Hubner on Shallot Crops
Authors: Husain F , Saleh S , Umrah  , Anshary A , Pasaru F 
Published: May 2024

Abstract
Biopesticides are strongly recommended in pest management to mitigate the harmful effects of the chemicals. This study aimed to evaluate the combined effect of the crown flower extracts (CFE) and Aspergillus sp. in controlling Spodoftera exigua, a major pest of shallot. Three level concentrations of CFE (g/l) i.e. 0 (C0), 2.42 (C1), and 4.84 (C2), as well as Aspergillus sp., i.e. 0 % (A1), 0.5% (A1), and 1.0% (A2), were combined and set up in a Randomized Complete Block. Pest infestation and shallot yields were observed to assess the effectiveness of those biopesticides. The results showed that the application of CFE or Aspergillus sp. was more effective in suppressing the infestation of S. exigua than without biopesticides. However, the highest concentration of the combination of both biopesticides results in the best treatment, possibly suppressing the beet armyworm infestation by about 31,09 % compared to the control. It has the lowest values of the Area Under Pest Damage Curve (AUDPC) and the highest yield of shallots (5.50 t/ha). The study confirmed that a combination of CFE and Aspergillus sp. was suitable for managing S. exigua on shallot crops and supporting the integrated pest management of beet armyworms.
Application effect of rhizobacteria Bacillus strain on plant growth and pest insects in shallot plantation (Allium ascalonicum L.)
Authors: Hamid H , Yanti Y , Haryanda F , Yaherwandi  , Nurbailis  , Hidrayani  
Published: May 2024

Abstract
Rhizobacteria can enhance plant growth, yield, and resistance to pests. This study aimed to determine the effect of rhizobacteria Bacillus strain application on shallot plant growth and its effect on insect pests in the field. The research, conducted from September 2022 to January 2023, took place at the Microbiology Laboratory, Faculty of Agriculture, Universitas Andalas, and on the farm in Nagari Sungai Nanam, District of Lembah Gumanti, Solok Regency, West Sumatra. The research utilized a randomized group design with 12 treatments and three replicates. The treatments comprised ten rhizobacteria Bacillus strains, insecticide treatment (Siantraniliprol 20 g/L), and control (without Bacillus spp. and insecticide treatment). The results showed that shallot treated with Bacillus strain can increase plant growth. B. subtilis strain MRPLE3.1 enhanced plant height, B. welhenstephaenensis strain MRRDE3.4 increased leaf count, and B. cereus strain MRSNE5.1 effectively suppressed pest insect populations. Moreover, B. mycoides strain MRRZLL2.2 demonstrated the highest shallot production, particularly in dry weight. Overall, this research shows the promising potential of the rhizobacteria Bacillus spp. in increasing shallot yields and pest management. This research also offers a natural and sustainable approach to improving agricultural practices, especially shallot cultivation.
Variation of plant species as feed sources in honey beekeeping in Jambi and South Sumatera Indonesia
Authors: Pujiastuti Y , Herlin W , Meilin A 
Published: May 2024

Abstract
Plant species as a feed source for honey bees are an important factor in their survival. In addition to supporting the production process of honey bees, plants also affect the quality of honey produced. This study aimed to study plant species’ presence in honey bees’ lives and behaviors. The research used a survey method with honey beekeepers as respondents in Jambi and South Sumatra, asking about various plants grown around rearing boxes. Beekeepers have planted various plants producing pollen, resin, and nectar. Plants can also be categorized into three major groups: annual fruit, ornamental, and industrial plants. The distance between plants and rearing boxes will affect the different behaviors of honey bees. In honeybees such as Apis cerana, planting was done at a radius of 5–100 meters, while Apis mellifera in Jambi was mostly farmed around acacia and oil palm trees. For stingless bees, such as Heterotrigona itama, the presence of plants must be closer, considering their ability to fly was more limited than that of honey bees. Ornamental plants such as Antigonon flavescens were visited by honey bees in the morning (7–9 am) and afternoon (3–5 pm), while annual fruit plants were visited in the morning (7–9 am).
Austen’s Persuasion
Authors: Johns Alessa 
Published: May 2024

Abstract
Jane Austen recognized that the popular new genre, the novel, was an innovative technology of persuasion. She demonstrates this not only in her last-completed novel, Persuasion, but throughout her career starting with Lady Susan. Austen’s protagonists display skill at conversation—more than at classical forms of rhetoric—which reveals the social power of talk and civil discourse. I argue that Austen favors what feminist theorists have called “conversational” and “invitational” rhetoric, using persuasion in her novels to suggest how a print genre can successfully invite readers to foster civility in its broadest sense: of moral behavior, critical commentary, and psychological and social change. Ultimately, Austen allows her bright heroines to keep talking despite their mistakes; she endorses the power of dialogue over incivility, and of true conversation over what today is termed canceling or calling out.
Romantic Persuasion in American Antislavery Poetry
Authors: Fournier Jake 
Published: May 2024

Abstract
This chapter explores the way nineteenth-century American abolitionists incorporated Romantic tropes in their reform poetry. It first argues that the radical reformer William Lloyd Garrison adopts Wordsworthian subjectivist conventions in his early sonnets. This subjectivism, which primarily champions the growth of the poet’s own mind, is in tension with the persuasive ambitions of the antislavery project. Next, the chapter contrasts Garrison’s subjectivist strategy with another prevalent, Romantically inflected abolitionist trope: the adynaton. This hyperbolic figure of inexpressibility is a prominent locus of the slave sublime in Frances Ellen Watkins Harper’s ballads. The chapter argues that sentimental abolitionist poetry falters due to reformers’ efforts to instrumentalize these Romantic aesthetic protocols. The subjectivist conventions and sublime pleasure underpinning sentimental abolitionist verse come to interfere with reformers’ persuasive goals.
A guide to prescribing systemic treatments for psoriasis during pregnancy, breastfeeding and in those trying to conceive: what does the current evidence suggest?
Authors: Hutchison Eliza , Eraifej Natalie , Moss Jake , Rolls Sophie , Wainman Hannah 
Published: May 2024

Abstract
Psoriasis is a common inflammatory skin condition with an estimated prevalence of 1.5% in the UK. Its management has evolved rapidly over the past 15 years as our understanding of its pathogenesis has progressed. Treatment initiation often overlaps with peak reproductive years, posing specific therapeutic challenges for individuals hoping to conceive. Certain systemic agents are well established to be teratogenic during pregnancy, such as methotrexate and acitretin, but data on newer drug classes for psoriasis remain limited. This literature review evaluated recent data on the systemic agents for psoriasis, explicitly considering the context of male and female fertility, pregnancy and breastfeeding. Our goal was to equip clinicians with an accessible, concise summary of up-to-date evidence to help them educate patients and facilitate informed, shared decision-making aligned with their reproductive health.
In vivo neuropil density from anatomical MRI and machine learning
Authors: Akif Adil , Staib Lawrence , Herman Peter , Rothman Douglas L , Yu Yuguo , Hyder Fahmeed 
Published: May 2024

Abstract
Brain energy budgets specify metabolic costs emerging from underlying mechanisms of cellular and synaptic activities. While current bottom–up energy budgets use prototypical values of cellular density and synaptic density, predicting metabolism from a person’s individualized neuropil density would be ideal. We hypothesize that in vivo neuropil density can be derived from magnetic resonance imaging (MRI) data, consisting of longitudinal relaxation (T1) MRI for gray/white matter distinction and diffusion MRI for tissue cellularity (apparent diffusion coefficient, ADC) and axon directionality (fractional anisotropy, FA). We present a machine learning algorithm that predicts neuropil density from in vivo MRI scans, where ex vivo Merker staining and in vivo synaptic vesicle glycoprotein 2A Positron Emission Tomography (SV2A-PET) images were reference standards for cellular and synaptic density, respectively. We used Gaussian-smoothed T1/ADC/FA data from 10 healthy subjects to train an artificial neural network, subsequently used to predict cellular and synaptic density for 54 test subjects. While excellent histogram overlaps were observed both for synaptic density (0.93) and cellular density (0.85) maps across all subjects, the lower spatial correlations both for synaptic density (0.89) and cellular density (0.58) maps are suggestive of individualized predictions. This proof-of-concept artificial neural network may pave the way for individualized energy atlas prediction, enabling microscopic interpretations of functional neuroimaging data.
Assessment of the excitation–inhibition ratio in the Fmr1 KO2 mouse using neuronal oscillation dynamics
Authors: Kat Renate , Linkenkaer-Hansen Klaus , Koopmans Marthe A , Houtman Simon J , Bruining Hilgo , Kas Martien J H 
Published: May 2024

Abstract
In vitro and ex vivo studies have shown consistent indications of hyperexcitability in the Fragile X Messenger Ribonucleoprotein 1 (Fmr1) knockout mouse model of autism spectrum disorder. We recently introduced a method to quantify network–level functional excitation–inhibition ratio from the neuronal oscillations. Here, we used this measure to study whether the implicated synaptic excitation–inhibition disturbances translate to disturbances in network physiology in the Fragile X Messenger Ribonucleoprotein 1 (Fmr1) gene knockout model. Vigilance-state scoring was used to extract segments of inactive wakefulness as an equivalent behavioral condition to the human resting-state and, subsequently, we performed high-frequency resolution analysis of the functional excitation–inhibition biomarker, long-range temporal correlations, and spectral power. We corroborated earlier studies showing increased high-frequency power in Fragile X Messenger Ribonucleoprotein 1 (Fmr1) knockout mice. Long-range temporal correlations were higher in the gamma frequency ranges. Contrary to expectations, functional excitation–inhibition was lower in the knockout mice in high frequency ranges, suggesting more inhibition-dominated networks. Exposure to the Gamma-aminobutyric acid (GABA)-agonist clonazepam decreased the functional excitation–inhibition in both genotypes, confirming that increasing inhibitory tone results in a reduction of functional excitation–inhibition. In addition, clonazepam decreased electroencephalogram power and increased long-range temporal correlations in both genotypes. These findings show applicability of these new resting–state electroencephalogram biomarkers to animal for translational studies and allow investigation of the effects of lower-level disturbances in excitation–inhibition balance.
Point-of-care Ultrasound in Infectious Diseases: Current Insights and Future Perspectives
Authors: Díez-Vidal Alejandro , Martínez-Martín Patricia , González-Muñoz Borja , Tung-Chen Yale 
Published: May 2024

Abstract
Point-of-care ultrasound (POCUS) is a safe, noninvasive technique performed at the patient's bedside, providing immediate results to the operator. It complements physical examination and facilitates clinical decision-making. In infectious diseases, POCUS is particularly valuable, offering an initial assessment in cases of suspected infection. It often leads to an early tentative diagnosis enabling the prompt initiation of antimicrobial treatment without the delay associated with traditional radiology. POCUS provides direct visualization of affected organs, assists in evaluating fluid balance, and facilitates various interventions, all while reducing patient discomfort. For infectious disease specialists, becoming proficient in POCUS is a critical future challenge, requiring dedicated training for effective utilization.
Forest practitioners’ requirements for remote sensing-based canopy height, wood-volume, tree species, and disturbance products
Authors: Fassnacht Fabian Ewald , Mager Christoph , Waser Lars T , Kanjir Urša , Schäfer Jannika , Buhvald Ana Potočnik , Shafeian Elham , Schiefer Felix , Stančič Liza , Immitzer Markus , Dalponte Michele , Stereńczak Krzysztof , Skudnik Mitja 
Published: May 2024

AbstractDespite decades of development, the uptake of remote sensing-based information products in the forestry sector is still lagging behind in central and southern Europe. This may partly relate to a mismatch of the developed remote sensing products and the requirements of potential users. Here, we present the results of a questionnaire survey in which we questioned 355 forest practitioners from eight central and southern European countries. We aimed to learn about forest practitioners' technical requirements for four remote sensing-based information products, including information on tree species, canopy height, wood volume/biomass, and forest disturbances. We asked for practitioners’ preferences with respect to thematic and spatial detail as well as the maximal acceptable error and the temporal frequency with which the information layers would be needed. We then examined whether the education, age, and professional background affect the requirements. Preferences with respect to spatial and thematic detail were comparably diverse while more homogenous patterns could be observed for demands with respect to errors and temporal frequency. Our results indicate that for some information products such as canopy height maps, existing remote sensing technology, and workflows can match all demands of practitioners. Remotely sensed information on forest disturbances partly fulfils the demands of the practitioners while for products related to tree species and wood volume/biomass the level of thematic detail and the accuracy of the products demanded by practitioners in central and southern Europe is not yet fully matched. We found no statistically significant differences between the demographic groups examined. The findings of this study improve our understanding of matches and mismatches of the technical requirements of practitioners for remote sensing-based information products.
Lack of evidence for GWAS signals of exfoliation glaucoma working via monogenic loss-of-function mutation in the nearest gene
Authors: Meyer Kacie J , Fingert John H , Anderson Michael G 
Published: May 2024

Abstract
Purpose: Exfoliation syndrome (XFS) is a systemic disease of elastin-rich tissues involving a deposition of fibrillar exfoliative material (XFM) in the anterior chamber of the eye, which can promote glaucoma. The purpose of this study was to create mice with CRISPR/Cas9-induced variations in candidate genes identified from human genome-wide association studies (GWAS) and screen them for indices of XFS. Methods: Variants predicted to be deleterious were sought in the Agpat1, Cacna1a, Loxl1, Pomp, Rbms3, Sema6a, and Tlcd5 genes of C57BL/6J mice using CRISPR/Cas9-based gene editing. Strains were phenotyped by slit-lamp, SD-OCT imaging, and fundus exams at 1–5 mos of age. Smaller cohorts of 12-mos-old mice were also studied. Results: Deleterious variants were identified in six targets; Pomp was recalcitrant to targeting. Multiple alleles of some targets were isolated, yielding 12 strains. Across all genotypes and ages, 277 mice were assessed by 902 slit-lamp exams, 928 SD-OCT exams, and 358 fundus exams. Homozygosity for Agpat1 or Cacna1a mutations led to early lethality; homozygosity for Loxl1 mutations led to pelvic organ prolapse, preventing aging. Loxl1 homozygotes exhibited a conjunctival phenotype of potential relevance to XFS. Multiple other genotype-specific phenotypes were variously identified. XFM was not observed in any mice. Conclusions: This study did not detect XFM in any of the strains. This may have been due to species-specific differences, background dependence, or insufficient aging. Alternatively, it is possible that the current candidates, selected based on proximity to GWAS signals, are not effectors acting via monogenic loss-of-function mechanisms.
Comparing various neural network methods for temperature prediction of CRTS II slab track on transition sections
Authors: Zhou Rui , Zhang Yiyao , Xu Hongbin , Liu Hanlin , Feng Qingsong , Qi Jie 
Published: May 2024

Abstract
Based on the meteorological measuring data, the prediction of the temperature field is worthy of thermal performance evaluation of CRTS II slab tracks in bridge-subgrade transition sections. To find the best temperature prediction method, this present study shows a comparison of internal temperature predictions in CRTS II slab track by using three typical neural network methods (ANN, CNN, LSTM) subjected to different meteorological factors. Firstly, the distribution characteristics of four meteorological factors (e.g. ambient temperature, solar radiation, wind speed, and humidity) and internal temperature for the CRTS II slab track on three different foundations are analyzed. Moreover, temperature prediction effects of track slab and base plate on three foundations under five meteorological testing cases are compared by using three neural network models, respectively. The results show that the ambient temperature ranging from 15°C and 25°C accounts for about 7 percent and the solar radiation during daytime mainly ranges from 100W/m2 to 1100W/m2. The solar radiation has more effect on the temperature gradients of the CRTS II slab track on bridge and transition zone than that of the ambient temperature, and Case 5 with five different input variables has the best prediction accuracy for three predict models among five testing cases. Although the LSTM model has the best prediction accuracy among the three prediction models with R2 values of about 0.85, it costs the longest calculation time of about 180 s. In addition, the track slab on bridge has the worst prediction accuracy for the ANN and CNN models among the three foundations with RMSE values of 4.5 and 2.5 for Case 2, and the base plate on transition zone has the best prediction accuracy both for the CNN and LSTM models among the three foundations with RMSE values of 3 for Case 5.