bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multiplex detection and identification of viral, bacterial, and protozoan pathogens in human blood and plasma using an expanded high-density resequencing microarray platform
Authors: Kourout Moussa , Espich Scott , Fisher Carolyn , Tiper Irina , Purkayastha Anjan , Smith Sean , Santana-Quintero Luis , Duncan Robert 
Published: June 2024

Introduction: Nucleic acid tests for blood donor screening have improved the safety of the blood supply; however, increasing numbers of emerging pathogen tests are burdensome. Multiplex testing platforms are a potential solution.Methods: The Blood Borne Pathogen Resequencing Microarray Expanded (BBP-RMAv.2) can perform multiplex detection and identification of 80 viruses, bacteria and parasites. This study evaluated pathogen detection in human blood or plasma. Samples spiked with selected pathogens, each with one of 6 viruses, 2 bacteria and 5 protozoans were tested on this platform. The nucleic acids were extracted, amplified using multiplexed sets of primers, and hybridized to a microarray. The reported sequences were aligned to a database to identify the pathogen. To directly compare the microarray to an emerging molecular approach, the amplified nucleic acids were also submitted to nanopore next generation sequencing (NGS).Results: The BBP-RMAv.2 detected viral pathogens at a concentration as low as 100 copies/ml and a range of concentrations from 1,000 to 100,000 copies/ml for all the spiked pathogens. Coded specimens were identified correctly demonstrating the effectiveness of the platform. The nanopore sequencing correctly identified most samples and the results of the two platforms were compared.Discussion: These results indicated that the BBP-RMAv.2 could be employed for multiplex detection with potential for use in blood safety or disease diagnosis. The NGS was nearly as effective at identifying pathogens in blood and performed better than BBP-RMAv.2 at identifying pathogen-negative samples.
Dietary patterns and the risk of tuberculosis-drug-induced liver injury: a cohort study
Authors: Wang Jinyu , Zhou Yarui , Zhao Cong , Xiong Ke , Liu Yufeng , Zhao Shanliang , Ma Aiguo 
Published: June 2024

Background and purposeNutrition is associated with tuberculosis drug-induced liver injury (TBLI). How dietary patterns relate to tuberculosis drug-induced liver injury is still unknown. The objective of this study is to explore the relation between dietary patterns and the risk of tuberculosis drug-induced liver injury.MethodsThis cohort study was conducted at two hospitals in Shandong Province, China, between 2011 and 2013. A total of 605 tuberculosis patients were included in the final analysis. The blood aspartate aminotransferase or alanine aminotransferase level was monitored through the 6-month tuberculosis treatment. The semi-quantitative food frequency questionnaires were used to survey dietary intake in the second month of the tuberculosis treatment. The China Healthy Diet Index (CHDI), which was previously validated in the Chinese population, was used as an a priori dietary pattern. A posteriori dietary patterns were extracted by principal component analysis (PCA).ResultsThe CHDI was negatively associated with the risk of liver injury [adjusted odds ratio (aOR) per standard deviation (SD) (95% CI): 0.61 (0.40–0.94)] and liver dysfunction [aOR per SD (95% CI): 0.47 (0.35–0.64)] in the multivariate logistic model. A positive association between “Organ meat, poultry, and vegetable oil” dietary pattern scores (extracted by PCA) and the risk of liver injury [aOR (95% CI): 3.02 (1.42–6.41)] and liver dysfunction [aOR (95% CI): 1.83 (1.09–3.05)] was observed.ConclusionIn conclusion, a high CHDI score was a protective factor for tuberculosis drug-induced liver injury, while the “Organ meat, poultry, and vegetable oil” dietary pattern, which was rich in organ meat, poultry, and vegetable oil and low in vegetables, was an independent risk factor for tuberculosis drug-induced liver injury.
Gaussian filter facilitated deep learning-based architecture for accurate and efficient liver tumor segmentation for radiation therapy
Authors: Lin Hongyu , Zhao Min , Zhu Lingling , Pei Xi , Wu Haotian , Zhang Lian , Li Ying 
Published: June 2024

PurposeAddressing the challenges of unclear tumor boundaries and the confusion between cysts and tumors in liver tumor segmentation, this study aims to develop an auto-segmentation method utilizing Gaussian filter with the nnUNet architecture to effectively distinguish between tumors and cysts, enhancing the accuracy of liver tumor auto-segmentation.MethodsFirstly, 130 cases of liver tumorsegmentation challenge 2017 (LiTS2017) were used for training and validating nnU-Net-based auto-segmentation model. Then, 14 cases of 3D-IRCADb dataset and 25 liver cancer cases retrospectively collected in our hospital were used for testing. The dice similarity coefficient (DSC) was used to evaluate the accuracy of auto-segmentation model by comparing with manual contours. ResultsThe nnU-Net achieved an average DSC value of 0.86 for validation set (20 LiTS cases) and 0.82 for public testing set (14 3D-IRCADb cases). For clinical testing set, the standalone nnU-Net model achieved an average DSC value of 0.75, which increased to 0.81 after post-processing with the Gaussian filter (P&lt;0.05), demonstrating its effectiveness in mitigating the influence of liver cysts on liver tumor segmentation. ConclusionExperiments show that Gaussian filter is beneficial to improve the accuracy of liver tumor segmentation in clinic.
Systematic studies on the kinetic process of 20(S)-protopanaxadiol in rats and dogs: absorption, distribution, metabolism and excretion
Authors: Li Pengfei , Zhang Min , Chen Meng , Liu Guangxu , Meng Linghui , Zhang Dan 
Published: June 2024

Background and ObjectiveGinseng has been regarded as a precious medicinal herb with miraculous effects in Eastern culture. The primary chemical constituents of ginseng are saponins, and the physiological activities of ginsenosides determine their edible and medicinal value. The aim of this study is to comprehensively and systematically investigate the kinetic processes of 20(S)—protopanaxadiol (PPD) in rats and dogs, in order to promote the rational combination of ginseng as a drug and dietary ingredient.MethodsPPD was administered, and drug concentration in different biological samples were detected by liquid chromatography tandem mass spectrometry (LC/MS/MS) and radioactive tracer methods. Pharmacokinetic parameters such as absorption, bioavailability, tissue distribution, plasma protein binding rate, excretion rate, and cumulative excretion were calculated, along with inference of major metabolites.ResultsThis study systematically investigated the absorption, distribution, metabolism, excretion (ADME) of PPD in rats and dogs for the first time. The bioavailabilities of PPD were relatively low, with oral absorption nearly complete, and the majority underwent first-pass metabolism. PPD had a high plasma protein binding rate and was relatively evenly distributed in the body. Following oral administration, PPD underwent extensive metabolism, potentially involving one structural transformation and three hydroxylation reactions. The metabolites were primarily excreted through feces and urine, indicating the presence of enterohepatic circulation. The pharmacokinetic processes of PPD following intravenous administration aligned well with a three-compartment model. In contrast, after gastric administration, it fitted better with a two-compartment model, conforming to linear pharmacokinetics and proportional elimination. There were evident interspecies differences between rats and dogs regarding PPD, but individual variations of this drug were minimal within the same species.ConclusionThis study systematically studied the kinetic process of PPD in rats and also investigated the kinetic characteristics of PPD in dogs for the first time. These findings lay the foundation for further research on the dietary nutrition and pharmacological effects of PPD.
Large field-of-view pine wilt disease tree detection based on improved YOLO v4 model with UAV images
Authors: Zhang Zhenbang , Han Chongyang , Wang Xinrong , Li Haoxin , Li Jie , Zeng Jinbin , Sun Si , Wu Weibin 
Published: June 2024

IntroductionPine wilt disease spreads rapidly, leading to the death of a large number of pine trees. Exploring the corresponding prevention and control measures for different stages of pine wilt disease is of great significance for its prevention and control.MethodsTo address the issue of rapid detection of pine wilt in a large field of view, we used a drone to collect multiple sets of diseased tree samples at different times of the year, which made the model trained by deep learning more generalizable. This research improved the YOLO v4(You Only Look Once version 4) network for detecting pine wilt disease, and the channel attention mechanism module was used to improve the learning ability of the neural network.ResultsThe ablation experiment found that adding the attention mechanism SENet module combined with the self-designed feature enhancement module based on the feature pyramid had the best improvement effect, and the mAP of the improved model was 79.91%.DiscussionComparing the improved YOLO v4 model with SSD, Faster RCNN, YOLO v3, and YOLO v5, it was found that the mAP of the improved YOLO v4 model was significantly higher than the other four models, which provided an efficient solution for intelligent diagnosis of pine wood nematode disease. The improved YOLO v4 model enables precise location and identification of pine wilt trees under changing light conditions. Deployment of the model on a UAV enables large-scale detection of pine wilt disease and helps to solve the challenges of rapid detection and prevention of pine wilt disease.
Protective effectiveness of previous infection against subsequent SARS-Cov-2 infection: systematic review and meta-analysis
Authors: Hu Wei-Hua , Cai Huan-Le , Yan Huan-Chang , Wang Han , Sun Hui-Min , Wei Yong-Yue , Hao Yuan-Tao 
Published: June 2024

BackgroundThe protective effectiveness provided by naturally acquired immunity against SARS-CoV-2 reinfection remain controversial.ObjectiveTo systematically evaluate the protective effect of natural immunity against subsequent SARS-CoV-2 infection with different variants.MethodsWe searched for related studies published in seven databases before March 5, 2023. Eligible studies included in the analysis reported the risk of subsequent infection for groups with or without a prior SARS-CoV-2 infection. The primary outcome was the overall pooled incidence rate ratio (IRR) of SARS-CoV-2 reinfection/infection between the two groups. We also focused on the protective effectiveness of natural immunity against reinfection/infection with different SARS-CoV-2 variants. We used a random-effects model to pool the data, and obtained the bias-adjusted results using the trim-and-fill method. Meta-regression and subgroup analyses were conducted to explore the sources of heterogeneity. Sensitivity analysis was performed by excluding included studies one by one to evaluate the stability of the results.ResultsWe identified 40 eligible articles including more than 20 million individuals without the history of SARS-CoV-2 vaccination. The bias-adjusted efficacy of naturally acquired antibodies against reinfection was estimated at 65% (pooled IRR = 0.35, 95% CI = 0.26–0.47), with higher efficacy against symptomatic COVID-19 cases (pooled IRR = 0.15, 95% CI = 0.08–0.26) than asymptomatic infection (pooled IRR = 0.40, 95% CI = 0.29–0.54). Meta-regression revealed that SARS-CoV-2 variant was a statistically significant effect modifier, which explaining 46.40% of the variation in IRRs. For different SARS-CoV-2 variant, the pooled IRRs for the Alpha (pooled IRR = 0.11, 95% CI = 0.06–0.19), Delta (pooled IRR = 0.19, 95% CI = 0.15–0.24) and Omicron (pooled IRR = 0.61, 95% CI = 0.42–0.87) variant were higher and higher. In other subgroup analyses, the pooled IRRs of SARS-CoV-2 infection were statistically various in different countries, publication year and the inclusion end time of population, with a significant difference (p = 0.02, p &lt; 0.010 and p &lt; 0.010), respectively. The risk of subsequent infection in the seropositive population appeared to increase slowly over time. Despite the heterogeneity in included studies, sensitivity analyses showed stable results.ConclusionPrevious SARS-CoV-2 infection provides protection against pre-omicron reinfection, but less against omicron. Ongoing viral mutation requires attention and prevention strategies, such as vaccine catch-up, in conjunction with multiple factors.
التضخم وأثره على البيانات المالية المنشورة للشركات الكويتية المساهمة.
Authors: محمد أحمد العظمة  , يوسف عوض العادلي  
Published: June 2024

تلقي الدراسة الضوء على التضخم و أثره على البيانات المالية للشركات الكويتية المساهمة. بذلت جهود مكثفة من قبل العديد من الجهات و المنظمات لدراسة التضخم و أثره على فاعلية البيانات المالية بغية التوصل إلى النظام الأمثل للمعلومات التي تصلح لاتخاذ قرارات رشيدة. انه من المؤسف ألا نجد في الكويت اهتماما كافياً للتصدي لموضوع التضخم و تحليل آثاره على المستويين الأكاديمي أو المهني. يتناول هذا البحث عرضاّ تحليلاً للنماذج المحاسبية المقترحة لمعرفة أثر التضخم على البيانات المالية المشورة. تم أخذ عينة لبيانات إحدى الشركات المساهمة الكويتية. و الهدف من ذلك هو تبان مدى تأثر تلك البيانات بالتعديل المحاسبي لآثار التضخم، والتوصل إلى بعض الاستنتاجات المبدئية التي قد تصلح كأساس لمزيد من البحوث في هذا المجال.
تناقش الدراسة ما يلي:
1.	النماذج المحاسبي المقترحة لإعداد القوائم المالية في ظل تقلبات مستويات الأسعار
2.	ملامح مشكلة التضخم في الاقتصاد الكويتي
3.	دراسة حالة عملية لأثر التضخم على البيانات المالية المنشورة لإحدى الشركات المساهمة الصناعية الكويتية
4.	خلاصة و توصيات
MARKERS OF INFLAMMATION WITH DECREASED FUNCTIONALITY IN THE COGNITIVE AND PSYCHOLOGICAL DOMAINS OF INDIVIDUAL VITALITY IN MIDDLE-AGED AND ELDERLY PATIENTS WITH METABOLIC SYNDROME
Authors: Чупаха М.В. , Белоусова О.Н. , Прощаев К.И. , Ильницкий А.Н. , Фесенко Э.В. , Ключникова А.А. , Фомченкова Н.В. 
Published: June 2024

Метаболический синдром представляет собой группу нарушений, тесно связанных как с риском развития сахарного диабета 2-го типа и сердечно-сосудистых заболеваний, так и в целом ведущих к феномену преждевременного старения организма. Избыточное накопление жировой ткани способствует развитию хронического иммунного воспаления, которое является предшественником различных нарушений, например инсулинорезистентности, артериальной гипертензии и дислипидемии, а также запускает процессы инфламейджинга у пациентов. Все большее число исследований подтверждает важность хронического иммунного воспаления в патогенезе метаболического синдрома, так как в адипоцитах у лиц с абдоминальным ожирением происходит активация провоспалительных маркеров, таких как TNF-α, IL-1β, IL-6, моноцитарный хемотаксический протеин-1 и фактор роста эндотелия сосудов. Среди широкого спектра цитокинов именно моноцитарный хемотаксический белок-1 считается одним из наиболее важных хемокинов, который активирует моноциты и другие иммунные клетки, активно участвующие в воспалении. Другим важным моментом хронического иммунного воспаления является его влияние на психическое и ментальное здоровье пациентов с метаболическим синдромом. Повышенный уровень тревоги и депрессии взаимосвязан с уровнем провоспалительных цитокинов, вырабатываемых жировой тканью, что в конечном итоге оказывает неблагоприятное влияние на когнитивный статус пациентов.
Metabolic syndrome is a group of disorders that are closely related to both the risk of developing type 2 diabetes mellitus and cardiovascular diseases, and generally leading to the phenomenon of premature aging of the body. Excessive accumulation of adipose tissue contributes to the development of chronic immune inflammation and oxidative stress, which are both precursors to various disorders, such as insulin resistance, arterial hypertension and dyslipidemia, but also trigger inflammatory processes in patients. An increasing number of studies support the importance of chronic immune inflammation in the pathogenesis of metabolic syndrome, as pro-inflammatory markers such as TNF-α, IL-1β, IL-6, monocyte chemotactic protein-1 and growth of vascular endothelium. Among a wide range of cytokines, monocyte chemotactic protein-1 is considered one of the most important chemokines, which activates monocytes and other immune cells actively involved in inflammation. Another important point of chronic immune inflammation is its impact on the mental health of patients with metabolic syndrome. Increased levels of anxiety and depression are associated with levels of pro-inflammatory cytokines produced by adipose tissue, which ultimately has an adverse effect on the cognitive status of patients.
Le pouvoir : du besoin vital de cramponnement à l’ouverture d’un espace potentiel
Authors: Soto Jessica Rosand 
Published: June 2024

Nous proposons dans ce travail de faire le récit d’entretiens de recherche, menés en collaboration avec Clara Maunier, psychologue clinicienne, auprès d’une adolescente âgée de 15 ans, que nous appellerons Clarisse. Accompagnée en Institut Thérapeutique Éducatif et Pédagogique, sa volonté de participer à une recherche doctorale nous a conduit à interroger la notion de pouvoir dans ses différentes acceptions : celle de la toute-puissance mais aussi celle de la découverte d’un espace potentiel. Celui-ci semble apparaître lors de la mise en récit de relations significatives passées en milieu scolaire, qui prennent alors la forme de liens intériorisés.
Relationship between dyspnea and respiratory function indicators after coronavirus pneumonia
Authors: Melekhov A. V. , Svetlakov V. I. , Bedritsky S. A. , Nikitin I. G. 
Published: June 2024

Aim. To study the relationship between the probability and severity of dyspnea following COVID-19 pneumonia with the characteristics of lung ventilatory function (LVF), lung diffusion capacity (DCL), and respiratory muscle strength (RMS) impairments.Materials and methods. A total of 108 patients (58% women, age 62 [52-66] years) who had recovered from COVID-19 pneumonia were examined. Spirometry, bodyplethysmography, DCL, and RMS assessments were conducted 75 (46-155) days after the onset of the disease. The severity of dyspnea was evaluated using the MRC (Medical Research Council Scale) and the 10-point Borg scale. Instrumental and laboratory data from the acute phase of COVID-19 were retrospectively obtained from medical records.Results. The risk of dyspnea of any severity at the time of examination was statistically significantly higher in patients with reduced (z-score < -1.645) VC, FVC, FEV1, DLCO, VA, and DLCO/VA. No correlation was found between the risk of dyspnea and acute COVID-19 indicators (maximum C-reactive protein, lactate dehydrogenase levels, lung tissue damage assessed by computed tomography, positive PCR test), sex, or body mass index. None of the patients had a Gensler index <70%; however, reduced FEV1 was found in 10.3% of patients. Restrictive LVF impairments were observed in 8.3% of patients, and mixed impairments in 11.2%. Dyspnea severity was statistically significantly higher in patients with LVF impairments, especially with mixed type, compared to patients with normal respiratory biomechanics. The correlation between the risk of dyspnea and functional parameters persisted even when the sample was limited to patients with normal LVF (n=75) and without comorbidities (n=49). In patients with normal LVF and no comorbidities who did not report dyspnea, FEV1, ITGV, DLCO, and DLCO/VA values (in % of predicted) were higher, and Raw and Rocc were lower than in those with any severity of dyspnea.Conclusion. There is a correlation between the risk and severity of dyspnea and restrictive, obstructive VFL impairments, and reduced DCL in the post-COVID-19 period. Additionally, identified patterns suggest that subclinical bronchial obstruction and reduced RMS may be possible mechanisms of dyspnea in patients with a normal respiratory biomechanics pattern.
Auriculares emisores de ruido blanco para caninos
Authors: López Molina Antonio Alexandro , Tovar Pérez Francisco Ronaldo , Ibáñez Nangüelú Christian Roberto , Nandayapa Vargas Francisco Javier 
Published: June 2024

Los perros cuentan con una audición superior a la humana, esto respecto al espectro de frecuencias que su sistema auditivo les permite percibir, por lo tanto, detectan sonidos que son imperceptibles para el oído humano y reaccionan de diferente manera a ruidos con altas frecuencias. Las personas que poseen perros son conscientes del daño que la exposición a ruidos fuertes provoca en sus mascotas, principalmente el estrés que ruidos como la detonación de fuegos artificiales les provoca. En la búsqueda de un método para contrarrestar los efectos del estrés provocados por ambientes ruidosos, surge la propuesta de emitir ruido blanco. El ruido blanco ha demostrado tener efectos relajantes tanto en humanos como en animales por lo que se presenta la idea de desarrollar un dispositivo capaz de emitir ruido blanco para mantener tranquilos a perros domésticos durante eventos estresantes, el dispositivo consta de un diseño auricular y un control por medio de un servidor web, que permite a los dueños manipular las características del ruido a generar por los auriculares.
Connecting Solar Wind Velocity Spikes Measured by Solar Orbiter and Coronal Brightenings Observed by SDO
Authors: Hou Chuanpeng , Rouillard Alexis P. , He Jiansen , Gannouni Bahaeddine , Réville Victor , Louarn Philippe , Fedorov Andrey , Přech Lubomír , Owen Christopher J. , Verscharen Daniel , D’Amicis Raffaella , Sorriso-Valvo Luca , Fargette Naïs , Coburn Jesse , Génot Vincent , Raines Jim M. , Bruno Roberto , Livi Stefano , Lavraud Benoit , André Nicolas , Fruit Gabriel , Kieokaew Rungployphan , Plotnikov Illya , Penou Emmanuel , Barthe Alain , Kataria Dhiren , Berthomier Matthieu , Allegrini Frederic , Fortunato Vito , Mele Gennaro , Horbury Timothy 
Published: June 2024

Abstract
The Parker Solar Probe's discovery that magnetic switchbacks and velocity spikes in the young solar wind are abundant has prompted intensive research into their origin(s) and formation mechanism(s) in the solar atmosphere. Recent studies, based on in situ measurements and numerical simulations, argue that velocity spikes are produced through interchange magnetic reconnection. Our work studies the relationship between interplanetary velocity spikes and coronal brightenings induced by changes in the photospheric magnetic field. Our analysis focuses on the characteristic periodicities of velocity spikes detected by the Proton Alpha Sensor on the Solar Orbiter during its fifth perihelion pass. Throughout the time period analyzed here, we estimate their origin along the boundary of a coronal hole. Around the boundary region, we identify periodic variations in coronal brightening activity observed by the Atmospheric Imaging Assembly onboard the Solar Dynamics Observatory. The spectral characteristics of the time series of in situ velocity spikes, remote coronal brightenings, and remote photospheric magnetic flux exhibit correspondence in their periodicities. Therefore, we suggest that the localized small-scale magnetic flux within coronal holes fuels a magnetic reconnection process that can be observed as slight brightness augmentations and outward fluctuations or jets. These dynamic elements may act as mediators, bonding magnetic reconnection with the genesis of velocity spikes and magnetic switchbacks.