bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of glyphosate on the growth and survival of rhizobia isolated from root nodules of grass pea (Lathyrus sativus L.)
Authors: Asrat Atrsaw , Sitotaw Baye , Dawoud Turki M. , Nafidi Hiba-Allah , Bourhia Mohammed , Mekuriaw Animut , Wondmie Gezahign Fentahun 
Published: December 2023

AbstractGrass pea (L. sativus L.) is a widely cultivated crop worldwide, forming a symbiotic relationship with nitrogen-fixing rhizobia. Glyphosate is commonly used by farmers for weed control during agricultural processes. However, the application of this chemical herbicide negatively impacts soil fertility by affecting the nitrogen-fixing rhizobia. This study aimed to assess the effects of glyphosate on rhizobia isolated from healthy and robust Grass pea plants. Specifically, Grass pea plants exhibiting vigorous growth and a healthy appearance were intentionally selected to isolate rhizobia from their root nodules. The isolated rhizobia were then characterized based on their morphological features, biochemical properties, and resistance to abiotic traits. Rhizobial isolates from grass peas exhibited Gram-negative, rod-shaped morphology, milky colony color, and variable colony sizes. Additionally, the majority displayed smooth colony surfaces on yeast extract mannitol agar medium. Based on morphological and biochemical characteristics, the isolates could be grouped under the genus Rhizobium. Optimum growth conditions for these isolates were observed at temperatures between 28 and 38 °C, pH levels ranging from 5 to 8, and salt (NaCl) concentrations of 0.5% and 1%. At a concentration of 20 mL L−1, glyphosate inhibited 5.52–47% of the Rhizobium population. The inhibition percentage increased to 17.1–53.38% at a concentration of 40 mL L−1. However, when exposed to a higher concentration (60 mL/L) of glyphosate, 87% of the isolates were inhibited. The number of colonies after glyphosate exposure was significantly dependent on concentration, and there were notable differences between treatments with varying glyphosate concentrations (p < 0.05). Glyphosate negatively impacted the survival of grass pea rhizobia, leading to a reduction in the Rhizobium population (CFU). However, the effect varied between Rhizobium isolated from grass pea root nodules.
Detection and persistence of Zika virus in body fluids and associated factors: a prospective cohort study
Authors: Calvet Guilherme Amaral , Kara Edna Oliveira , Bôtto-Menezes Camila Helena Aguiar , da Costa Castilho Marcia , de Oliveira Franca Rafael Freitas , Habib Ndema , Neto Armando Menezes , Pereira Gerson Fernando Mendes , Giozza Silvana Pereira , Bermúdez Ximena Pamela Díaz , Fernandes Tatiana Jorge , Modjarrad Kayvon , Brasil Patrícia , Broutet Nathalie Jeanne Nicole , de Filippis Ana Maria Bispo ,   ZIKABRA Study Team, Lima Morganna Costa 
Published: December 2023

AbstractThis study aimed to analyze the detection and duration of the Zika virus (ZIKV) in plasma, urine, saliva, sweat, rectal swabs, vaginal secretions, breast milk, and semen and to explore risk factors associated with prolonged viral persistence. A prospective cohort study of symptomatic patients and their household contacts was conducted in Brazil from July 2017 to June 2019. A total of 260 individuals (184 women and 76 men) with confirmed ZIKV infection were enrolled and followed up for 12 months. ZIKV RNA was present in all body fluid specimens and detectable for extended periods in urine, sweat, rectal swabs, and semen. The longest detection duration was found in semen, with high viral loads in the specimens. ZIKV RNA clearance was associated with several factors, including age, sex, education level, body mass index, non-purulent conjunctivitis, joint pain, and whether the participant had a history of yellow fever vaccination. The influence of each of these factors on the low or fast viral clearance varied according to the specific body fluid under investigation. Recurrent ZIKV detection events after total viral clearance were observed in the cohort. Our findings provide valuable insights into the persistence and potential recurrence of ZIKV infection, highlighting the need for continued monitoring and follow-up of individuals infected with ZIKV and for effective prevention measures to reduce the risk of transmission.
Correlation transfer function analysis as a biomarker for Alzheimer brain plasticity using longitudinal resting-state fMRI data
Authors: Mousa Doaa , Zayed Nourhan , Yassine Inas A. 
Published: December 2023

AbstractNeural plasticity is the ability of the brain to alter itself functionally and structurally as a result of its experience. However, longitudinal changes in functional connectivity of the brain are still unrevealed in Alzheimer’s disease (AD). This study aims to discover the significant connections (SCs) between brain regions for AD stages longitudinally using correlation transfer function (CorrTF) as a new biomarker for the disease progression. The dataset consists of: 29 normal controls (NC), and 23, 24, and 23 for early, late mild cognitive impairments (EMCI, LMCI), and ADs, respectively, along three distant visits. The brain was divided into 116 regions using the automated anatomical labeling atlas, where the intensity time series is calculated, and the CorrTF connections are extracted for each region. Finally, the standard t-test and ANOVA test were employed to investigate the SCs for each subject’s visit. No SCs, along three visits, were found For NC subjects. The most SCs were mainly directed from cerebellum in case of EMCI and LMCI. Furthermore, the hippocampus connectivity increased in LMCI compared to EMCI whereas missed in AD. Additionally, the patterns of longitudinal changes among the different AD stages compared to Pearson Correlation were similar, for SMC, VC, DMN, and Cereb networks, while differed for EAN and SN networks. Our findings define how brain changes over time, which could help detect functional changes linked to each AD stage and better understand the disease behavior.
Magnetic field evolution in $$\mathrm{Au+Au}$$ collisions at $$\sqrt{s_{NN}} = {200}\;{\text{GeV}}$$
Authors: Zhang Chun-Hui , Feng Qi-Chun , Ren Yan-Yu , Hua Li-Ming , Huo Lei 
Published: December 2023

AbstractIn high energy heavy-ion collisions, the high speed valence charges will produce intense electromagnetic fields within the resulting quark-gluon plasma. Utilizing the AMPT model, this paper presents a comprehensive analysis of the magnetic field distribution generated from non-central collisions between $$\mathrm{Au+Au}$$

Au
+
Au

nuclei at $$\sqrt{s_{\text{NN}}}={200}\;{\text{GeV}}$$

s
NN

=
200

GeV

. The initial geometric parameters of the collision and the electric conductivity of the quark-gluon plasma have a dominant influence on the evolution of the magnetic field, while the plasma diffusion and the CME effect have a lesser impact and only slightly involve the original magnetic field by inducing new magnetic fields. This finding suggests that the dynamics of the quark-gluon plasma can be roughly decoupled from the effect of the electromagnetic field.
Cornification of keratinocytes is associated with differential changes in the catalytic activity and the immunoreactivity of transglutaminase-1
Authors: Surbek Marta , Van de Steene Tessa , Sachslehner Attila Placido , Golabi Bahar , Griss Johannes , Eyckerman Sven , Gevaert Kris , Eckhart Leopold 
Published: December 2023

AbstractTransglutaminase 1 (TGM1) plays an essential role in skin barrier formation by cross-linking proteins in differentiated keratinocytes. Here, we established a protocol for the antibody-dependent detection of TGM1 protein and the parallel detection of TGM activity. TGM1 immunoreactivity initially increased and co-localized with membrane-associated TGM activity during keratinocyte differentiation. TGM activity persisted upon further differentiation of keratinocytes, whereas TGM1 immunoreactivity was lost under standard assay conditions. Pretreatment of tissue sections with the proteases trypsin or proteinase K enabled immunodetection of TGM1 in cornified keratinocytes, indicating that removal of other proteins was a prerequisite for TGM1 immunolabeling after cornification. The increase of TGM activity and subsequent loss of TGM1 immunoreactivity could be replicated in HEK293T cells transfected with TGM1, suggesting that protein cross-linking mediated by TGM1 itself may lead to reduced recognition of TGM1 by antibodies. To screen for proteins potentially regulating TGM1, we performed Virotrap experiments and identified the CAPNS1 subunit of calpain as an interaction partner of TGM1. Treatment of keratinocytes and TGM1-transfected HEK293T cells with chemical inhibitors of calpain suppressed transglutamination. Our findings suggest that calpain contributes to the control of TGM1-mediated transglutamination and proteins cross-linked by transglutamination mask epitopes of TGM1.
Enhancing the image quality of blue light cystoscopy through green-hue correction and fogginess removal
Authors: Chang Shuang , Bermoy Micha E. , Chang Sam S. , Scarpato Kristen R. , Luckenbaugh Amy N. , Kolouri Soheil , Bowden Audrey K. 
Published: December 2023

AbstractBlue light cystoscopy (BLC) is a guideline-recommended endoscopic tool to detect bladder cancer with high sensitivity. Having clear, high-quality images during cystoscopy is crucial to the sensitive, efficient detection of bladder tumors; yet, important diagnostic information is often missed or poorly visualized in images containing illumination artifacts or impacted by impurities in the bladder. In this study, we introduce computational methods to remove two common artifacts in images from BLC videos: green hue and fogginess. We also evaluate the effect of artifact removal on the perceptual quality of the BLC images through a survey study and computation of Blind/Referenceless Image Spatial Quality Evaluator scores on the original and enhanced images. We show that corrections and enhancements made to cystoscopy images resulted in a better viewing experience for clinicians during BLC imaging and reliably restored lost tissue features that were important for diagnostics. Incorporating these enhancements during clinical and OR procedures may lead to more comprehensive tumor detection, fewer missed tumors during TURBT procedures, more complete tumor resection and shorter procedure time. When used in off-line review of cystoscopy videos, it may also better guide surgical planning and allow more accurate assessment and diagnosis.
A new method for predicting SIRS after percutaneous transhepatic gallbladder drainage
Authors: Zhang Xuanfeng , Yang Lulu , Cui Long , Li Huansong , Wang Xiaochuan 
Published: December 2023

AbstractThe occurrence of systemic inflammatory response after percutaneous transhepatic gallbladder drainage brings great risks to patients and is one of the challenges faced by clinicians. Therefore, it is of great significance to find a suitable prediction method for clinicians to intervene early and reduce the transformation of serious complications. Easy-to-obtain and objectively measured clinical features were screened, and logistic regression was used to construct a prediction model. The predictive ability of the model was evaluated by using the receiver operating characteristic curve and the decision curve in the validation set and the training set, respectively. Nine clinical features (CRP, Fever, DBIL, Obstruction, Bile properties, PCT, Length, Width, and Volume factor) were used to construct the prediction model, and the validation results showed that the prediction model had good performance in the training set (AUC = 0.83) and the validation set (AUC = 0.81). The decision curve also showed that the predictive ability of the model incorporating nine clinical features is better than that of a single clinical feature. The model we constructed can accurately predict the occurrence of SIRS, which can guide clinicians to take treatment measures and avoid the deterioration of complications.
Effects of three personal resources interventions on employees’ burnout
Authors: Pérez-Marqués Mariola , Letona-Ibañez Onintze , Amillano Alejandro , Carrasco María , Martínez-Rodríguez Silvia 
Published: December 2023

AbstractPersonal resources are related to positive psychological states that can translate into lower burnout among employees. However, although these personal resources can be promoted through ad hoc interventions, there are few studies that analyze this type of interventions in workers. The aim of this study was to assess the effectiveness of three interventions on personal resources on reducing employees' burnout. To this end, it was hypothesized that a positive psychological capital intervention (PsyCap), a job crafting intervention and a combined intervention would have a positive impact on burnout levels. This research used a quasi-experimental, longitudinal, pretest–posttest design, with repeated measures and a waiting list control group. Study participants (N = 144) were all workers divided into three interventions and a control group. A noteworthy aspect of the study design is that the intervention was implemented as a voluntary online training activity. This study showed that personal resources interventions were effective in reducing burnout among employees. The PsyCap intervention and the combined intervention showed the greatest efficacy. Contrary to expectations, the combined intervention did not show significantly greater efficacy than the other two experimental groups. The study concludes with a discussion of its limitations and practical implications for future personal resources intervention studies.
Machine learning for predicting hepatitis B or C virus infection in diabetic patients
Authors: Kim Sun–Hwa , Park So–Hyeon , Lee Heeyoung 
Published: December 2023

AbstractHighly prevalent hepatitis B and hepatitis C virus (HBV and HCV) infections have been reported among individuals with diabetes. Given the frequently asymptomatic nature of hepatitis and the challenges associated with screening in some vulnerable populations such as diabetes patients, we conducted an investigation into the performance of various machine learning models for the identification of hepatitis in diabetic patients while also evaluating the significance of features. Analyzing NHANES data from 2013 to 2018, machine learning models were evaluated; random forest (RF), support vector machine (SVM), eXtreme Gradient Boosting (XGBoost), and least absolute shrinkage and selection operator (LASSO) along with stacked ensemble model. We performed hyperparameter tuning to improve the performance of the model, and selected important predictors using the best performance model. LASSO showed the highest predictive performance (AUC-ROC = 0.810) rather than other models. Illicit drug use, poverty, and race were highly ranked as predictive factors for developing hepatitis in diabetes patients. Our study demonstrated that a machine-learning-based model performed optimally in the detection of hepatitis among diabetes patients, achieving high performance. Furthermore, models and predictors evaluated from the current study, we expect, could be supportive information for developing screening or treatment methods for hepatitis care in diabetes patients.
MRI can help differentiate Ménière’s disease from other menieriform diseases
Authors: Li Jinye , Li Long , Jin Xianwen , Hu Na , Kong Xiao , Wang Linsheng , Li Xiaoqin , Dou Weiqiang , Sun Lixin , Li Chuanting , Gong Ruozhen 
Published: December 2023

AbstractIt is difficult to distinguish other pathologies mimicking Ménière’s disease (MD) clinically. This study aims to investigate the differences of imaging findings and features between MD and other menieriform diseases via intravenous gadolinium-enhanced magnetic resonance imaging (MRI). 426 patients with menieriform symptoms, including MD, vestibular migraine (VM), and vestibular schwannoma (VS), underwent 3D-FLAIR and 3D-T2WI MRI 6 h after the intravenous gadolinium injection. MR images were analyzed for inner ear morphology, perilymphatic enhancement (PE), EH and other abnormalities. EH was observed at a higher rate in MD patients (85.71%) than patients with other menieriform diseases (VM group = 14.75%, VS group = 37.50%). The prevalence of unilateral EH as well as both cochlear and vestibular EH showed significant differences between MD and VM groups. The prevalence of cochlear EH (I and II) and vestibular EH (II and III) was different between MD and VM groups. The prevalence of PE was higher in MD than VM group. The degrees of cochlear and vestibular hydrops were higher in the definite than probable MD group (P < 0.05). Using these imaging features, MRI can be used to help differentiate MD from other menieriform diseases.
Double-stranded RNA prevents and cures infection by rust fungi
Authors: Degnan Rebecca M. , Shuey Louise S. , Radford-Smith Julian , Gardiner Donald M. , Carroll Bernard J. , Mitter Neena , McTaggart Alistair R. , Sawyer Anne 
Published: December 2023

AbstractFungal pathogens that impact perennial plants or natural ecosystems require management strategies beyond fungicides and breeding for resistance. Rust fungi, some of the most economically and environmentally important plant pathogens, have shown amenability to double-stranded RNA (dsRNA) mediated control. To date, dsRNA treatments have been applied prior to infection or together with the inoculum. Here we show that a dsRNA spray can effectively prevent and cure infection by Austropuccinia psidii (cause of myrtle rust) at different stages of the disease cycle. Significant reductions in disease coverage were observed in plants treated with dsRNA targeting essential fungal genes 48 h pre-infection through to 14 days post-infection. For curative treatments, improvements in plant health and photosynthetic capacity were seen 2–6 weeks post-infection. Two-photon microscopy suggests inhibitory activity of dsRNA on intercellular hyphae or haustoria. Our results show that dsRNA acts both preventively and curatively against myrtle rust disease, with treated plants recovering from severe infection. These findings have immediate potential in the management of the more than 10-year epidemic of myrtle rust in Australia.
In operando NMR investigations of the aqueous electrolyte chemistry during electrolytic CO2 reduction
Authors: Jovanovic Sven , Jakes Peter , Merz Steffen , Daniel Davis Thomas , Eichel Rüdiger-A. , Granwehr Josef 
Published: December 2023

AbstractThe electrolytic reduction of CO2 in aqueous media promises a pathway for the utilization of the green house gas by converting it to base chemicals or building blocks thereof. However, the technology is currently not economically feasible, where one reason lies in insufficient reaction rates and selectivities. Current research of CO2 electrolysis is becoming aware of the importance of the local environment and reactions at the electrodes and their proximity, which can be only assessed under true catalytic conditions, i.e. by in operando techniques. In this work, multinuclear in operando NMR techniques were applied in order to investigate the evolution of the electrolyte chemistry during CO2 electrolysis. The CO2 electroreduction was performed in aqueous NaHCO3 or KHCO3 electrolytes at silver electrodes. Based on 13C and 23Na NMR studies at different magnetic fields, it was found that the dynamic equilibrium of the electrolyte salt in solution, existing as ion pairs and free ions, decelerates with increasingly negative potential. In turn, this equilibrium affects the resupply rate of CO2 to the electrolysis reaction from the electrolyte. Substantiated by relaxation measurements, a mechanism was proposed where stable ion pairs in solution catalyze the bicarbonate dehydration reaction, which may provide a new pathway for improving educt resupply during CO2 electrolysis.
Evolution of the One CGIAR’s research and innovation portfolio to 2030: approaches, tools, and insights after the reform
Authors: Meinke Holger , Ash Andrew , Barrett Christopher B. , Smith Allison Grove , Graff Zivin Joshua S. , Abera Fetien , Garcia Magali , Just David R. , Obokoh Nompumelelo H. , Kadiyala Suneetha , Negra Christine , Torrance Lesley , Beaudreault Amy R. , Boulanger Pierre 
Published: December 2023

AbstractIn this perspective, we offer insights into the evolution of CGIAR’s research and innovation portfolio from 2019 to 2023, underpinning the transformative journey towards One CGIAR. With this contribution, we aim to strengthen the social and environmental sustainability components of allied, future Research for Development (R4D) portfolios. We explore three interlinked operational frameworks—Quality of Research for Development (QoR4D), Comparative Advantage (CA) Analysis, and Inclusive Innovation—and present practical tools and lessons for enhancing the quality and impact of R4D initiatives. This work is based on insights gained by the Independent Science for Development Council (ISDC) during the review of proposals for the current One CGIAR research portfolio. QoR4D’s four dimensions (relevance, scientific credibility, legitimacy, and effectiveness) guide research strategy, portfolio development, evaluation and performance standards, fostering intentional design and transparent assessment. CA Analysis leverages organisational strengths, facilitating purposeful partnerships, and strategic resource allocation. Inclusive Innovation emphasises stakeholder inclusivity, amplifying legitimacy, relevance, and effectiveness. Insights are drawn from the application of these frameworks, highlighting the importance of collaboration, the need for a mindset shift and institutional reform, specialisation, and impact maximisation. By adopting these lessons, CGIAR and allied organisations can collectively address global food system challenges more effectively, driving sustainable agricultural innovation and societal transformation. This article aims to contribute to advancing sustainable agriculture and underscores the significance of systemic collaborations in creating more resilient and equitable food systems.
Fast histological assessment of adipose tissue inflammation by label-free mid-infrared optoacoustic microscopy
Authors: Ko Vito , Goess Marie C. , Scheel-Platz Lukas , Yuan Tao , Chmyrov Andriy , Jüstel Dominik , Ruland Jürgen , Ntziachristos Vasilis , Keppler Selina J. , Pleitez Miguel A. 
Published: December 2023

AbstractConventional histology, as well as immunohistochemistry or immunofluorescence, enables the study of morphological and phenotypical changes during tissue inflammation with single-cell accuracy. However, although highly specific, such techniques require multiple time-consuming steps to apply exogenous labels, which might result in morphological deviations from native tissue structures. Unlike these techniques, mid-infrared (mid-IR) microspectroscopy is a label-free optical imaging method that retrieves endogenous biomolecular contrast without altering the native composition of the samples. Nevertheless, due to the strong optical absorption of water in biological tissues, conventional mid-IR microspectroscopy has been limited to dried thin (5–10 µm) tissue preparations and, thus, it also requires time-consuming steps—comparable to conventional imaging techniques. Here, as a step towards label-free analytical histology of unprocessed tissues, we applied mid-IR optoacoustic microscopy (MiROM) to retrieve intrinsic molecular contrast by vibrational excitation and, simultaneously, to overcome water-tissue opacity of conventional mid-IR imaging in thick (mm range) tissues. In this proof-of-concept study, we demonstrated application of MiROM for the fast, label-free, non-destructive assessment of the hallmarks of inflammation in excised white adipose tissue; i.e., formation of crown-like structures and changes in adipocyte morphology.