Miracle-dz/UniFAR-FTUs huggingface dataset:
Epidemiology and Drug Resistance of Neonatal Bloodstream Infection Pathogens in East China Children’s Medical Center From 2016 to 2020

Introduction To analyze the pathogen distribution and drug resistance of newborns with bloodstream infection (BSI) to help clinicians choose the appropriate empirical antibiotic therapy for clinical infection control. Methods A total of 707 neonatal BSI cases were retrospectively analyzed. The bacteria in blood culture-positive samples were cultured, identified, and analyzed for drug sensitivity by routine methods. Statistical software was used to compare and analyze the basic data, pathogenic information, and drug resistance of the main bacteria. Results The 5-year average positive rate of neonatal blood culture was 2.50%. The number of specimens submitted for inspection in 2020 significantly decreased. The top five infectious pathogens with the highest proportion were coagulase-negative Staphylococcus (67.35%), of which Staphylococcus epidermidis had the highest proportion (31.26%), followed by Escherichia coli (12.87%), Klebsiella pneumoniae (9.05%), Streptococcus agalactiae (8.63%), and Staphylococcus aureus (3.25%). Gram-positive (G+) bacteria were dominant, accounting for 69.45%. The main G+ bacteria had a higher rate of resistance to erythromycin and penicillin G. The main Gram-negative (G–) bacteria had a high resistance rate to a variety of antibacterial drugs, especially cephalosporin antibiotics. The overall resistance of K. pneumoniae was higher than that of E. coli. The top two fungi detected were Candida parapsilosis and Candida albicans. C. parapsilosis did not appear to be resistant to antibiotics, while C. albicans was resistant to multiple antibiotics. The type of microbial infection had a statistically significant difference in the positive rate among the age at delivery and wards (p < 0.05). There were significant differences in the detection of fungi among these groups (p < 0.05). The positive rate of G+ bacteria in the term newborns was significantly higher than that in the preterm newborns (p < 0.05). Preterm newborns are more susceptible to pneumonia. Conclusion G+ bacteria are the main pathogens of neonatal BSI. Preterm newborns are more likely to be infected with G– bacteria. E. coli and K. pneumoniae are the most common G– bacteria, and both have a high resistance rate to a variety of antibacterial drugs. According to the distribution characteristics and drug resistance, it is very important to select antibiotics reasonably.
Alterations of the miR-126-3p/POU2AF1/Spi-B Axis and JCPyV Reactivation in Multiple Sclerosis Patients Receiving Natalizumab

Natalizumab (NTZ) can reactivate human polyomavirus John Cunningham polyomavirus (JCPyV) latent infection and lead to progressive multifocal leukoencephalopathy (PML). NTZ modulates the expression of microRNA-126-3p (miR-126-3p) and its target genes, Spi-B, POU2AF1, and vascular cell adhesion molecule-1 (VCAM-1); Spi-B protein binds the JCPyV regulatory region, initiating early gene transcription. This paper is aimed to evaluate the miR-126-3p and soluble (s)VCAM-1 concentration, Spi-B/POU2AF1 gene expression, and JCPyV activity in patients with multiple sclerosis (MS) before and during 2-years NTZ. Serum miR-126-3p and sVCAM-1 concentration was measured before NTZ and after 1, 12, and 24 months of treatment in 22 MS subjects, 1 patient who developed PML, and 29 healthy controls (HCs). The Spi-B and POU2AF1 expression in blood was analyzed at baseline and at month 24 in 13 patients with MS; results were clusterized based on JCPyV activity. miR-126-3p was significantly downregulated in MS before and during NTZ but was greatly increased in the PML patient. sVCAM-1 concentration was comparable in MS and HCs, and was reduced by NTZ in MS and PML. Spi-B/POU2AF1 expression was significantly increased in MS at baseline and was upregulated by NTZ, particularly in JCPyV-infected patients in whom JCPyV reactivation was detected. Taken together, the results suggest that the modulation of the miR-126-3p/POU2AF1/Spi-B axis associates with JCPyV activity in NTZ-treated patients with MS.
HIV Co-infection Augments EBV-Induced Tumorigenesis in vivo

In most individuals, EBV maintains a life-long asymptomatic latent infection. However, EBV can induce the formation of B cell lymphomas in immune suppressed individuals including people living with HIV (PLWH). Most individuals who acquire HIV are already infected with EBV as EBV infection is primarily acquired during childhood and adolescence. Although antiretroviral therapy (ART) has substantially reduced the incidence of AIDS-associated malignancies, EBV positive PLWH are at an increased risk of developing lymphomas compared to the general population. The direct effect of HIV co-infection on EBV replication and EBV-induced tumorigenesis has not been experimentally examined. Using a humanized mouse model of EBV infection, we demonstrate that HIV co-infection enhances systemic EBV replication and immune activation. Importantly, EBV-induced tumorigenesis was augmented in EBV/HIV co-infected mice. Collectively, these results demonstrate a direct effect of HIV co-infection on EBV pathogenesis and disease progression and will facilitate future studies to address why the incidence of certain types of EBV-associated malignancies are stable or increasing in ART treated PLWH.
Understanding Sleep-Wake Behavior in Late Chronotype Adolescents: The Role of Circadian Phase, Sleep Timing, and Sleep Propensity

Background Adolescents with a late chronotype are at greater risk for mood disorders, risk-taking behaviors, school absenteeism, and lower academic achievement. As there are multiple causes for late chronotype, the field lacks studies on the relationship between mood, circadian phase, and phase angle of entrainment in late chronotype adolescents. Three objectives guide this explorative study: (1) to describe sleep, circadian phase, and phase angle of entrainment in late chronotype adolescents, (2) to explore how different levels of lateness are associated with sleep quality, sleep propensity, and mood, and (3) to investigate the influence of circadian phase on bedtime choice and sleep duration. Methods Baseline data from 19 male adolescents (M = 16.4 ± 1.0 yrs), who were part of a larger intervention trial, were analyzed. Chronotype was measured with the Munich Chronotype Questionnaire, circadian timing via dim light melatonin onset (DLMO), and sleep habits with a 7-day sleep log. Further questionnaires assessed daytime sleepiness, sleep quality, and mood. Evening sleepiness and sustained attention were used as a proxy for evening sleep propensity. Results On school nights, sleep duration averaged 7.78 h (±1.65), and 9.00 h (±1.42) on weekend nights. Mean DLMO was observed at 23.13 h (± 1.65), with a weekend phase angle of entrainment of 2.48 h. Regression fittings revealed a tendency for shorter phase angles with delayed DLMOs. Further analysis with chronotype subgroups revealed that this was only true for light and moderate late types, whereas extreme late types showed wide phase angles. Even though daytime sleepiness and sleep duration did not differ between subgroups, mood and sleep quality declined as lateness increased. Extreme late chronotypes experienced higher evening sleepiness, while slight late chronotypes showed higher evening attention. Chronotype but not DLMO predicted bedtime on school- and particularly weekend-nights. Conclusions Our findings suggest that with increasing lateness, the likelihood of experiencing poor sleep quality and mood disorders increases. As DLMO did not predict bedtime, our data indicate that the factors contributing to a late chronotype are versatile and complex, particularly for extreme late types. Further studies involving a larger and gender-balanced sample are needed to confirm findings.
Reliability of Rating Visible Landscape Qualities

Reliability is measured by whether an investigation will obtain similar results when it is repeated by another party. It is argued that reliability is important at the level of individuals. While all landscape assessments are based on individual judgments, they are frequently aggregated to form composite judgments. The use of inter-group, intra-group and interrater measures of reliability in the landscape perception literature is reviewed. This paper investigates the reliability of assessing various visible landscape qualities using data primarily from previously published studies. The results indicate that there is reason for concern about the reliability of rating scales used in this field, and suggest actions for both research and practice. Landscape studies have joined the shifting sands of scholarly inquiry. The empirical positivist tradition continues to hold that there is an objective landscape that can be studied through the careful application of scientific principles. Post-positivists, among whom I include myself, stand back from the stranglehold that science recently held on legitimate knowledge. They acknowledge other ways of knowing, but favor empirical methods of discovery. In response to positivism, post-modern landscape scholars with diverse viewpoints are investigating new ways to explore the personal meaning that landscapes hold for us. For instance, Norberg-Schulz (1979) has contributed to the rising importance of genius loci, Potteiger and Purinton (1998) are exploring landscape narratives, and Brook (1998) is adapting Goethe's approach to scientific inquiry through direct experience. In this flurry of activity some foundational attributes of applied everyday experience are lost or ignored. One such attribute is reliability, which is the subject of this paper.
Persian Natural Language Inference: A Meta-learning Approach

Incorporating information from other languages can improve the results of tasks in low-resource languages. A powerful method of building functional natural language processing systems for low-resource languages is to combine multilingual pre-trained representations with cross-lingual transfer learning. In general, however, shared representations are learned separately, either across tasks or across languages. This paper proposes a meta-learning approach for inferring natural language in Persian. Alternately, meta-learning uses different task information (such as QA in Persian) or other language information (such as natural language inference in English). Also, we investigate the role of task augmentation strategy for forming additional high-quality tasks. We evaluate the proposed method using four languages and an auxiliary task. Compared to the baseline approach, the proposed model consistently outperforms it, improving accuracy by roughly six percent. We also examine the effect of finding appropriate initial parameters using zero-shot evaluation and CCA similarity.
Understanding Residents' Opinions and Support Toward Sustainable Tourism Development in the Caribbean: The Case of Saint Kitts and Nevis

Saint Kitts and Nevis are two islands forming one nation in the Caribbean. This paper examines differences in the perceived economic, socio-cultural, and environmental impacts of tourism between residents of Saint Kitts and Nevis and the residents’ attitudes about the pace and direction of tourism development. A self-administered household survey was used to assess perceptions of these impacts from tourism among residents. After excluding 53 non-residents, effective sample size was 269. ANOVA was used to analyze differences between the two islands. Residents of both islands shared similar perceptions about the pace and direction of tourism development in their islands. However, there were significant differences in their perceptions of the impacts of tourism. Nevis residents, more so than Saint Kitts residents, had more favorable perceptions about the economic benefits of tourism and looked at land-based tourism more favorably than cruise tourism. Negative impacts on the environment were not salient and residents had favorable perceptions of positive socio-cultural impact from tourism. The results emphasize the importance of understanding and allows views of local community members for sustainable tourism development. Local community support for tourism is vital for effective tourism planning and management.
Core Noise Diagnostics of Turbofan Engine Noise Using Correlation and Coherence Functions

function of the cutoff frequency of the low-pass filter used to create the generalized cross-correlation function and engine operating condition. The filtering procedure used produces no phase distortion. As the low-pass-filter frequency is decreased, the travel time increases. The indirect combustion noise signal travels more slowly, because the entropy in the combustor moves with the flow, which has a low velocity. The indirect combustion noise signal travels at acoustic velocities after reaching the turbine and being converted into an acoustic signal. The direct combustion noise is always propagating at acoustic velocities. This is in agreement with previous investigations of delay times using a cross-spectrum phase-angle method with unfiltered signals that found indirect combustion noise to be in the 0–200 Hz frequency range and the direct combustion noise to be in the 200–400 Hz frequency range. Similar results obtained using the cross-spectrum phase-angle method with filtered signals are also shown. These results show that the low-pass filtering can be used with the cross-correlation function to separate this type of dependentsourceandconfirmthecross-spectrumresults.Althoughtheresultsarebasedonasetofstaticenginetests conducted for one specific dual-spool turbofan engine configuration, they may lead to a better idea about the acoustics in the combustor turbine-tailpipe system and may help develop and validate improved reduced-order physics-based methods for predicting turbofan engine core noise.
Transfer Learning for ASR to Deal with Low-Resource Data Problem

End-to-end models are the state of the art for Automatic Speech Recognition (ASR) systems. Despite all their advantages, they suffer a signiﬁcant problem: a huge amounts of training data are required to achieve a good performance. This is a serious challenge for low-resource languages such as Persian. Therefore, we need some methods and techniques to overcome this issue. Transfer learning is an effective method can address this problem. Our aim is to perform a phoneme recognition system for the Persian language and explore the effect of transfer learning. To this end, we ﬁrst train the network with English corpus. Then, we transfer the trained network and ﬁne-tune it with Persian corpus. Our experiments on FarsDat corpus indicate that transfer learning with a few hours of Persian data, can reduce (Phoneme Error Rate) PER by 7.88% against model trained from scratch. Moreover, this method attains improvements of 2.08% and 1.52% for PER compared with the DNN-HMM and DNN-HSMM powerful base-lines, respectively.
Will machines replace dermatologists in the diagnosis of skin disease?

With recent advances in artificial intelligence (AI), not a week goes by without an article with a catchy headline stating that a certain medical specialty will soon be replaced by “robots” appearing in the media. But are such claims substantiated? In this essay, I hope to explore this fascinating topic through, firstly, examining recent literature on the role of AI technologies such as deep learning convolutional neural networks in the diagnosis of dermatological disease. Secondly, I will outline some of the existing technologies that aim to complement contemporary dermatologic practices, including teledermatology, mobile dermoscopy/dermatoscopy and smartphone apps. Finally, I intend to briefly discuss patient-centred care as applicable to AI in dermatology. Throughout the essay, I will draw on some relevant personal experiences both as a student doctor and as a patient to, hopefully, provide the reader with additional context for my perspective. Due to the concerningly high rates and thus utmost public health importance of melanoma in the New Zealand realm, as well as breath of the topic, for the purposes of this entry I am going to focus on the use of AI and other technological tools in detection of melanocytic cancer specifically, while also recognizing that these may be successfully utilized to diagnose other types of skin disease, too.
Isolated Kimura Disease Presenting as a Brow Mass in a Saudi Male: A Rare Case Report

This is a case of a 36-year-old male not known to have any medical illness complaining of left upper painless swelling in the eyebrow with no systemic symptoms, and normal physical examination apart from the eyebrow mass. Computed tomography (CT) of the head showed a well-defined hyperdense subcutaneous soft tissue lesion seen at the medial aspect of the left orbit (eyelid-extra orbital). Excisional biopsy of the eyebrow mass was done and sent for histopathological evaluation which reports consistent findings with Kimura disease (KD) as a definitive diagnosis.
In Situ Experimental Study of Natural Diatomaceous Earth Slopes under Alternating Dry and Wet Conditions

Very few studies have focused on diatomaceous earth slopes along high-speed railways, and the special properties of diatomaceous earth under alternating dry and wet conditions are unknown. This paper studies diatomaceous earth in the Shengzhou area, through which the newly built Hangzhou–Taizhou high-speed railway passes, and the basic physical and hydraulic properties of diatomaceous earth are analyzed by indoor test methods. A convenient, efficient, and controllable high-speed railway slope artificial rainfall simulation system is designed, and in situ comprehensive monitoring and fissure observation are performed on site to analyze the changes in various diatomaceous soil slope parameters under rainfall infiltration, and to explore the cracking mechanisms of diatomaceous earth under alternating dry and wet conditions. The results indicate extremely poor hydrophysical properties of diatomaceous earth in the Shengzhou area; the disintegration resistance index values of natural diatomaceous earth samples subjected to dry and wet cycles are 1.8–5.6%, and the disintegration is strong. Comprehensive indoor tests and water content monitoring show that natural diatomaceous earth has no obvious influence when it contacts water, but it disintegrates and cracks under alternating dry and wet conditions. The horizontal displacement of both slope types mainly occurs within 0.75–2.75 m of the surface layer, indicating shallow surface sliding; after testing, natural slope crack widths of diatomaceous earth reach 10–25 mm, and their depths reach 40–60 cm. To guarantee safety during high-speed railway engineering construction, implementing proper protection for diatomaceous earth slopes is recommended.
The State of Play of Copper, Mineral Oil, External Nutrient Input, Anthelmintics, Antibiotics and Vitamin Usage and Available Reduction Strategies in Organic Farming across Europe

Although input use in organic agriculture is strictly regulated, and significantly less contentious inputs are applied in organic than in conventional farming systems, copper, mineral oil, external nutrient input, anthelmintics, antibiotics and vitamins are still commonly used among organic farmers in the EU, partly due to the scarce availability of alternative products and the difficulty of implementing preventive strategies. Moreover, besides the direction set by the European Commission’s organic regulation, only a handful of policy instruments exist at national levels to reduce the use of these contentious inputs. The purpose of this paper is to discuss the results of the RELACS EU-funded project about the current use of copper, mineral oils, external nutrient inputs, anthelmintics, antibiotics and vitamins in organic farming in the EU. The paper is based on six internal reports developed in RELACS which relied on international surveys, in-depth interviews, multiple case study methods, database-based calculations, secondary data sources, plus a survey independent from the reports to map existing policy instruments and voluntary initiatives in the EU aiming to reduce the use of the six input categories. As a result, the paper gives a comprehensive overview of the current consumption of the six contentious inputs within the organic sector, highlighting potential alternative strategies in the pipeline, available preventive measures and the willingness of farmers towards adopting these solutions. It also informs about specific policy instruments already in force, as well as about ongoing voluntary initiatives to reduce contentious inputs. Due to the current dependence of organic farming systems on the six categories of contentious inputs, any sudden phase-out or ban on their usage would do more harm than good to the organic sector. Therefore, gradual, data-driven reduction measures are needed, which require significant further investments in targeted research, and in policy support measures, with the active involvement of agricultural stakeholders.
The Effect of 5E-Learning Cycle Model Using Animation Media on the Learning Activity and Learning Outcomes of Students in Senior High School Class XI on Salt Hydrolysis Material

The aim of this study is to determine the effect of learning model 5E learning cycle on learning activities and student learning outcomes on salt hydrolysis material. The research was conducted at Senior High School (SMA) Negeri 10 Medan. This research used research design of Pretest-posttest control group design. The sample was taken by purposive sampling technique and the obtained sample consist of 2 class which is: XI IPA 2 as an experimental class and XI IPA I as a control class. In the experimental class was taught used learning model 5E learning cycle using animation media and in control, class was taught using direct instruction model using animation media. The research instrument used the objective test in form of multiple choice questions as many as 25 questions, which previously passed through validation test, difficulty test, the test of different power, and reliability test with reliability value 0,91. Data analysis in this study used parametric inferential statistical analysis method, which the pretest and normalized score data had to pass normality and homogeneity test. X2count the pretest and gain score in the two study classes is greater than X2table and F-count the pretest and gain score in both the research class is greater than F-table. The research hypothesis was tested using statistical right-tailed t-test. Based on the calculation of t-statistical using right-tailed t-test obtained t-count results 4.29 and t-table at the 0.05 significance level 1.99. Furthermore, by t-count> t-table implied that the results of this study indicate there is influence of learning model of learning cycle 5E using animation media to the student learning outcomes in SMA of class XI on salt hydrolysis and student learning activity taught by learning model 5E learning cycle using animation media equal to 64,88%, higher than the student learning activity taught by direct instruction model using animation media that is equal to 55,72%.