BACKGROUND: Named entity recognition (NER) is a task of detecting named entities in documents and categorizing them to predefined classes, such as person, location, and organization. This paper focuses on tweets posted on Twitter. Since tweets are noisy, irregular, brief, and include acronyms and spelling errors, NER in those tweets is a challenging task. Many approaches have been proposed to deal with this problem in tweets written in English, Germany, Chinese, etc., but none for Vietnamese tweets. METHODS: We propose a method that normalizes a tweet before taking as an input of a learning model for NER in Vietnamese tweets. The normalization step detects spelling errors in a tweet and corrects them using an improved Dice's coefficient or n-grams. A Support Vector Machine learning algorithm is employed to learn a classifier using six different types of features. RESULTS AND CONCLUSION: We train our method on a training set consisting of more than 40,000 named entities and evaluate it on a testing set consisting of 3,186 named entities. The experimental results showed that our system achieves state-of-the-art performance with F1 score of 82.13%.

• Klíčová slova
• Named entity recognition, Spelling error detection and correction, Text normalization,
• Publikační typ
• časopisecké články MeSH

The merit of RNASeq data relies heavily on correct normalization. However, most methods assume that the majority of transcripts show no differential expression between conditions. This assumption may not always be correct, especially when one condition results in overexpression. We present a new method (NormQ) to normalize the RNASeq library size, using the relative proportion observed from RT-qPCR of selected marker genes. The method was compared against the popular median-of-ratios method, using simulated and real-datasets. NormQ produced more matches to differentially expressed genes in the simulated dataset and more distribution profile matches for both simulated and real datasets.

• Klíčová slova
• DESeq, Median-of-ratios, Normalization, RNASeq, TOMOSeq, Transcriptomics,
• Publikační typ
• časopisecké články MeSH

Previous resting-state functional magnetic resonance imaging (rs-fMRI) studies frequently applied the spatial normalization on fMRI time series before the calculation of temporal features (here referred to as "Prenorm"). We hypothesized that calculating the rs-fMRI features, for example, functional connectivity (FC), regional homogeneity (ReHo), or amplitude of low-frequency fluctuation (ALFF) in individual space, before the spatial normalization (referred to as "Postnorm") can be an improvement to avoid artifacts and increase the results' reliability. We utilized two datasets: (1) simulated images where temporal signal-to-noise ratio (tSNR) is kept a constant and (2) an empirical fMRI dataset with 50 healthy young subjects. For simulated images, the tSNR is constant as generated in individual space but increased after Prenorm and intersubject variability of tSNR was induced. In contrast, tSNR was kept constant after Postnorm. Consistently, for empirical images, higher tSNR, ReHo, and FC (default mode network, seed in precuneus) and lower ALFF were found after Prenorm compared to those of Postnorm. Coefficient of variability of tSNR and ALFF was higher after Prenorm compared to those of Postnorm. Moreover, the significant correlation was found between simulated tSNR after Prenorm and empirical tSNR, ALFF, and ReHo after Prenorm, indicating algorithmic variation in empirical rs-fMRI features. Furthermore, comparing to Prenorm, ALFF and ReHo showed higher intraclass correlation coefficients between two serial scans after Postnorm. Our results indicated that Prenorm may induce algorithmic intersubject variability on tSNR and reduce its reliability, which also significantly affected ALFF and ReHo. We suggest using Postnorm instead of Prenorm for future rs-fMRI studies using ALFF/ReHo.

• Klíčová slova
• fMRI methods, fMRI preprocessing, reliability, resting-state fMRI, spatial normalization,
• Publikační typ
• časopisecké články MeSH

Pulmonary hypertension (PH) is an established risk factor in patients with atrial septal defect (ASD), and its persistence after ASD closure is associated with increased mortality. Therefore, predictors for PH normalization after defect closure are needed. Multiple hemodynamic types of PH exist, but little is known about their prevalence and prognostic value for PH normalization after ASD closure. We carried out a retrospective study on 97 patients (76% female, median age at ASD closure 58 years) with four types of PH determined predominantly by right heart catheterization: hyperkinetic, pulmonary arterial hypertension, isolated post-capillary, and combined pre- and post-capillary. We investigated the frequency of the PH types and their prognostic significance for PH normalization after ASD closure. Frequency of PH types before ASD closure in our study was: hyperkinetic 55%, pulmonary arterial hypertension 10%, isolated post-capillary PH 24%, and combined PH 11%. Hyperkinetic PH type was positively associated with PH normalization after ASD closure (78% patients normalized), remaining a significant independent predictor when adjusted for age at closure, sex, heart failure, and NYHA. Hyperkinetic PH patients also had significantly better survival prognosis versus patients with other PH types (p = 0.04). Combined PH was negatively associated with PH normalization, with no patients normalizing. Pulmonary arterial hypertension and isolated post-capillary PH had intermediate rates of normalization (60 and 52%, respectively). In summary, all four hemodynamic types of PH are found in adult patients with ASD, and they can be used to stratify patients by their likelihood of PH normalization and survival after ASD closure.

• Klíčová slova
• atrial septal defect, hemodynamic type of pulmonary hypertension, mortality, normalization, pulmonary hypertension, reversibility,
• Publikační typ
• časopisecké články MeSH

Algal test using chlorococcal algae Desmodesmus subspicatus was used to determine single acute toxicity of either diclofenac or cadmium and to assess acute toxicity of their binary mixtures. The test confirmed significant acute toxicity of both diclofenac and cadmium; diclofenac with acute toxicity ErC50 60.44 ± 0.20 mg/L and cadmium with acute toxicity ErC50 2.14 ± 0.02 mg/L. This study of acute toxicity of binary cadmium-diclofenac mixtures confirmed their negative effects on aquatic producers and it also proved influence of the above substances on acute toxicity of their mixtures. Normalization method was applied to predict acute toxicity of binary mixtures composed of chemicals with significantly different acute toxicities. Normalization method used molar ratio (R) of chemicals in binary mixtures as their composition descriptor.

• Klíčová slova
• Binary mixtures, Cadmium, Desmodesmus subspicatus, Diclofenac, Normalization method,
• MeSH
• antiflogistika nesteroidní toxicita   MeSH
• Chlorophyta účinky léků   MeSH
• diklofenak toxicita   MeSH
• kadmium toxicita   MeSH
• lékové interakce MeSH
• Publikační typ
• časopisecké články MeSH
• Názvy látek
• antiflogistika nesteroidní MeSH
• diklofenak MeSH
• kadmium MeSH

BACKGROUND: Treatment options for people with haemophilia are evolving at a rapid pace and a range of prophylactic treatment options using various technologies are currently available, each with their own distinct safety and efficacy profile. TREATMENT GOALS: The access to replacement therapy and prophylaxis has driven a dramatic reduction in mortality and resultant increase in life expectancy. Beyond this, the abolition of bleeds and preservation of joint health represent the expected, but rarely attained, goals of haemophilia treatment and care. These outcomes also do not address the complexity of health-related quality of life impacted by haemophilia and its treatment. CONCLUSION: Capitalizing on the major potential of therapeutic innovations, 'Normalization' of haemostasis, as a concept, should include the aspiration of enabling individuals to live as normal a life as possible, free from haemophilia-imposed limitations. To achieve this-being supported by the data reviewed in this manuscript-the concept of haemostatic and life Normalization needs to be explored and debated within the wider multidisciplinary teams and haemophilia community.

• Klíčová slova
• Normalization, haemophilia A, haemostasis, health equity, quality of life, treatment goals,
• MeSH
• cíle MeSH
• hemofilie A * farmakoterapie   terapie   MeSH
• hemostáza * účinky léků   MeSH
• kvalita života MeSH
• lidé MeSH
• rovnost ve zdraví * MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH
• přehledy MeSH

Tumors are characterized by leaky blood vessels, and by an abnormal and heterogeneous vascular network. These pathophysiological characteristics contribute to the enhanced permeability and retention (EPR) effect, which is one of the key rationales for developing tumor-targeted drug delivery systems. Vessel abnormality and heterogeneity, however, which typically result from excessive pro-angiogenic signaling, can also hinder efficient drug delivery to and into tumors. Using histidine-rich glycoprotein (HRG) knockout and wild type mice, and HRG-overexpressing and normal t241 fibrosarcoma cells, we evaluated the effect of genetically induced and macrophage-mediated vascular normalization on the tumor accumulation and penetration of 10-20 nm-sized polymeric drug carriers based on poly(N-(2-hydroxypropyl)methacrylamide). Multimodal and multiscale optical imaging was employed to show that normalizing the tumor vasculature improves the accumulation of fluorophore-labeled polymers in tumors, and promotes their penetration out of tumor blood vessels deep into the interstitium.

• Klíčová slova
• Drug delivery, EPR, HRG, Nanomedicine, Tumor targeting, Vascular normalization, pHPMA,
• MeSH
• glykoprotein bohatý na histidin MeSH
• kyseliny polymethakrylové metabolismus   farmakokinetika   MeSH
• lékové transportní systémy metody   MeSH
• myši inbrední C57BL MeSH
• myši knockoutované MeSH
• myši MeSH
• nádorové buněčné linie MeSH
• nádory krevní zásobení   genetika   metabolismus   MeSH
• nosiče léků metabolismus   farmakokinetika   MeSH
• permeabilita MeSH
• proteiny genetika   metabolismus   MeSH
• tkáňová distribuce MeSH
• up regulace MeSH
• zvířata MeSH
• Check Tag
• myši MeSH
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Názvy látek
• Duxon MeSH Prohlížeč
• glykoprotein bohatý na histidin MeSH
• kyseliny polymethakrylové MeSH
• nosiče léků MeSH
• proteiny MeSH

The recent availability of genome information greatly facilitates the fundamental research on chicken. In different organs, gene expression patterns can provide clues to understanding the biological functions. For rapid and accurate quantification of gene expression, quantitative real-time PCR (qPCR) has become one of the most widely used methods. However, the success of qPCR data normalization depends on the use of a suitable reference gene and a single reference gene is not universally suitable for all the experiments. Therefore, reference gene validation is a crucial step for different organ tissues of chicken where suitable reference genes for qPCR analysis in varieties of tissues have not been investigated exhaustively so far. In this study, we have selected 30 Gallus gallus candidate reference genes from NCBI, amplified and studied their expression profiles by qPCR in different organ tissues (breast muscle, thigh muscle, heart, liver, spleen, gizzard, and bursa) of chicken. The result showed that, for breast muscle HSP10 and RPL23, thigh muscle RPL14 and RPL13, liver ALB and HSP70, spleen ALB and GAPDH, heart CYCS and TUBA8B, gizzard RPL5 and 18S rRNA, and bursa EEF1A1 and PGK2 are most stable genes respectively. The results also showed that for different organ tissues, individual or a combination of reference genes should be selected for data normalization. In this study, we have identified and validated 30 reference genes in seven different organ tissues to provide accurate transcript normalization and quantification, which can be useful for gene expression studies in other avian species.

• Klíčová slova
• chicken, normalization, organ tissues, quantitative real-time PCR, reference gene,
• MeSH
• exprese genu MeSH
• kosterní svaly MeSH
• kur domácí * genetika   MeSH
• kvantitativní polymerázová řetězová reakce veterinární   MeSH
• referenční standardy MeSH
• stanovení celkové genové exprese * veterinární   MeSH
• zvířata MeSH
• Check Tag
• zvířata MeSH
• Publikační typ
• časopisecké články MeSH

BACKGROUND: Psychiatrization may contribute to the deterioration of public mental health observed in recent decades. The cultural aspects of psychiatrization can be understood as a form of concept creep (progressive expansion) of mental health terminology. Over time, concepts of psychopathology have expanded to encompass a broader range of human experiences, potentially diluting their meaning. Accordingly, previous research has shown a gradual decline in the semantic severity of the word trauma. However, the semantic severity of anxiety and depression has been increasing over time. OBJECTIVE: This study aims to replicate and explain the increases in semantic severity of anxiety and depression by distinguishing between disorder constructs (clinical terms) and lay emotional constructs (everyday emotional terms) and assessing how their semantic severity changes over time. Additionally, we investigate whether mental health discourse and the broader context in which these terms appear influence these changes. METHODS: We analyzed the semantic severity of anxiety, depression, and trauma using leading paragraphs from 4.7 million New York Times articles (1970-2023). We extended this analysis to broader disorder constructs (both generic terms, such as mental illness, and specific terms, such as schizophrenia) and lay emotional constructs (eg, sad and worried). A word2vec model was used to estimate the degree to which these terms appeared in mental health-related contexts, and a Mental Health Index was developed to quantify shifts in discourse. Regression analyses were conducted to assess whether changes in semantic severity were influenced by time and context. RESULTS: The semantic severity of depression increased significantly (τ=0.35; P<.001), while anxiety (τ=0.08; P=.42) and trauma (τ=0.10; P=.33) showed no significant change. However, when controlling for context, severity was consistently higher in mental health-related contexts, and the effect of time became nonsignificant. For specific mental disorder constructs (eg, schizophrenia), semantic severity decreased over time, whereas generic disorder terms (eg, mental illness) remained stable. Lay emotional constructs became increasingly associated with mental health discourse but showed no clear severity trend. CONCLUSIONS: The increasing semantic severity of depression appears to be driven by its growing presence in mental health discourse rather than an inherent shift in meaning. The declining severity of specific, but not generic disorder constructs suggests that the overall representation of mental disorders remains severe, despite its expansion to less serious experiences. Meanwhile, ordinary emotions such as sadness and fear are increasingly discussed in mental health contexts. These trends highlight the evolving cultural framing of mental health and suggest that psychiatrization is shaping public perceptions of emotional experiences.

• Klíčová slova
• anxiety, concept creep, depression, mental health discourse, normalization, pathologization, prevalence inflation, psychiatrization, semantic severity, trauma,
• MeSH
• deprese * psychologie   MeSH
• lidé MeSH
• lingvistika * MeSH
• sémantika * MeSH
• stupeň závažnosti nemoci MeSH
• úzkost * psychologie   MeSH
• Check Tag
• lidé MeSH
• Publikační typ
• časopisecké články MeSH

Internal normalization (IN) serves as a quantitative tool in gas chromatography. Nevertheless, its utilization in liquid chromatography is not widely employed, as several requirements need to be taken into account. However, IN can be used in case of relative amounts estimation when the absolute concentration is not the crucial factor. This suits very well in pharmaceutical analysis when the relative amount of active pharmaceutical ingredient (API) impurities is to be estimated with a limited knowledge of statistics, such as t-test and linear regression. The determination of three prasugrel impurities in the real sample by means of IN and the comparison of these results with external standard calibration was presented. The IN method was validated by test of population means and variances agreement and the agreement of external calibration and IN was performed by Student t-test. The influence of impurities concentration above and below is also discussed as well as the validation parameters, LOD and LOQ. It was found that the results achieved by external calibration and IN are statistically the same and, therefore, IN is a proper method for relative amount estimation of API impurities.

• Klíčová slova
• Internal normalization, Pharmaceutical substances, Quantification, Validation,
• MeSH
• farmaceutická chemie normy   MeSH
• kalibrace MeSH
• koncentrace vodíkových iontů MeSH
• léčivé přípravky chemie   MeSH
• limita detekce MeSH
• prasugrel hydrochlorid analýza   MeSH
• reprodukovatelnost výsledků MeSH
• vysokoúčinná kapalinová chromatografie metody   normy   MeSH
• Publikační typ
• časopisecké články MeSH
• validační studie MeSH
• Názvy látek
• léčivé přípravky MeSH
• prasugrel hydrochlorid MeSH