bluuebunny/crossref_metadata_2025_split huggingface dataset:
A machine learning model for prediction of successful extubation in patients admitted to the intensive care unit
Authors: Huang Kuo-Yang , Xu Jia-Lang , Chen Huang-Chi , Horng Ming-Hwarng , Chung Che-Liang , Hsu Ying-Lin , Lin Ching-Hsiung 
Published: August 2022

Abstract
Background and objective:
Successful weaning from mechanical ventilation is important for patients admitted to intensive care units (ICUs); however, models for predicting real-time weaning outcomes remain inadequate. Therefore, this study was designed to develop a machine learning model using time series ventilator-derived parameters with good accuracy for predicting successful extubation.
Methods
Patients with mechanical ventilation between August 2015 and November 2020 admitted Yuanlin Christian Hospital in Taiwan were retrospectively included. The ventilator-derived parameter time series dataset was collected before extubation. Recursive Feature Elimination (RFE) was applied to choose the most important features. Machine learning models of logistic regression, random forest (RF), and support vector machine were adopted for predicting extubation outcomes. In addition, the synthetic minority oversampling technique (SMOTE) was employed to address the data imbalance problem. Area under receiver operating characteristic (AUC), F1 score, and accuracy along with 10-fold cross-validation were used to evaluate prediction performance.
Results
In this study, 233 patients were included, of whom 28 (12.0%) failed extubation. Moreover, the six ventilatory variables per 180-s dataset had the optimal feature importance. The RF exhibited better performance than others with an AUC of 0.976 (95% confidence interval [CI], 0.975–0.976), an accuracy of 94.0% (95% CI, 93.8–94.3%), and an F1 score of 95.8% (95% CI, 95.7–96.0%). The difference in performance between the RF with original and SMOTE dataset was small.
Conclusion
The RF model demonstrated good performance for predicting successful extubation of mechanically ventilated patients. This algorithm makes a precise real-time extubation outcome prediction for a patient at different time points.
ACY1-mediated deacetylation of GSTP1 at lysine 30 suppresses cisplatin resistance in epithelial ovarian cancer
Authors: Zheng Min , Zheng Xiaojing , Hou Zhenlin , Zhou Yun , Huang Shuting , Zhang Lan , Liu Pingping , Jiang Yinan , Pan Baoyue , Xiang Huiling , Ju Mingxiu , Luo Rong-Zhen , Jia Wei-Hua 
Published: August 2022

AbstractResistance to platinum-based chemotherapy is the major limitation to the improvement of epithelial ovarian cancer (EOC) prognosis. Aminoacylase-1 (ACY1) hydrolyzes acylated l-amino acids andN-acetylated proteins; however, the roles of ACY1 in EOC and platinum resistance remain unknown. Accordingly, this study explored the biological functions and clinical significance of ACY1 in the resistance of EOC to cisplatin therapy. We found that lower levels of ACY1 were associated with worse prognosis and platinum-based chemoresistance in EOC. Moreover, ACY1 significantly sensitized EOC cells to cisplatinin vitroandin vivo. Mechanistically, ACY1 deacetylated glutathioneS-transferase P1 (GSTP1) at lysine 30, which triggered its degradation and thereby reduced GSTP1 stability. Thus, ACY1 attenuated the intracellular reactive oxygen species (ROS) elimination and DNA damage repair. Finally, histone deacetylase 4 (HDAC4) downregulatedACY1transcription by suppressing histone H3 lysine 27 acetylation on theACY1promoter, and inhibiting HDAC4 reversed cisplatin resistance in EOC cells. Collectively, these results revealed an HDAC4–ACY1–GSTP1 axis as vital signaling for cisplatin resistance in EOC. This suggested that ACY1 might be a novel mediator in EOC chemoresistance and HDAC4 inhibitors could be used to overcome platinum resistance in patients with low expression of ACY1.
Early maternal risk factor profiles and their relationship to toxic stress response in infants across the first year of life
Authors: Gateau Kameelah , Schlueter Lisa , Pierce Lara , Thompson Barbara , Gharib Alma , Durazo-Arvizu Ramon , Nelson Charles , Levitt Pat 
Published: August 2022

Abstract
Objective: To generate a cumulative early risk score for the perinatal maternal environment and examine the association of the maternal cumulative risk score with infant development and maternal and infant oxidative stress.Study Design: This was a two-center longitudinal study of mother-infant dyads born >36 weeks’ gestation. Maternal demographic information and mental health assessments were utilized to generate cumulative risk scores. Infants’ development was assessed at 6 and 12 months. Mothers and infants were assayed for F2-isoprostanes, a biomarker of oxidative stress.Results: Cumulative risk scores predicted higher maternal (p=0.01) and infant (p=0.05) oxidative stress levels at 6 months. Early infant oxidative stress at 2 months predicted developmental scores 12 months (p=0.04). Conclusions: Perinatal risk predicted both mother and infant outcomes at six months possibly informing a sensitive period in which prospective, reliable measures reveal the physiological impact of early environmental risk.
Assessment of iodine status of lactating women and infants in Shanghai, China
Authors: Yan Wenqing , Bao Chunling , Tian Wenxia , Wang Xin-Yun , Sun Wenguang 
Published: August 2022

Abstract
There is a risk of iodine deficiency in pregnant women in China. However, currently, little research is available on the iodine status of lactating women and infants. This study aimed to evaluate the iodine status of lactating women and their infants and explore the relationship between breast milk iodine concentration (BMIC) and urinary iodine concentration (UIC). 257 lactating women and their infants were recruited from the Shanghai Sixth People’s Hospital East campus between May 2018 and May 2019. BMIC and UIC were measured by inductively coupled plasma mass spectrometry (ICP-MS). One-day 24-hour dietary recall was used to determine the dietary intake of iodine. The mean dietary intake of iodine of the lactating women was 145.1 µg/day. The dietary iodine intake of 97.83% (n=225) of lactating women was lower than 240 µg/day. The median BMIC and UIC of the lactating women and UIC of the infants were 150.7 µg/L (Interquartile Range, IQR 102.9, 205.5), 110.0 µg/L (IQR 65.8, 171.4) and 212.7 µg/L (IQR 142.1, 320.6), respectively. The BMIC of lactating women who ate iodized salt was significantly higher than that without iodized salt (p = 0.015). The infants’ UIC values were significantly correlated with the BMIC values (r = 0.597**, p < 0.001). The iodine nutritional status of lactating women and infants in Shanghai was generally sufficient according to the WHO's iodine nutritional status. The use of iodized salt was related to increasing dietary iodine intake and BMIC. The improvement of BMIC has a positive effect on the iodine nutrition level of infants. Compared with the level of urinary iodine of mothers, BMIC was a more sensitive and stable index to evaluate the iodine nutritional status of infants.
Establishing Veranoside-A2 as a Potential Antiretroviral Agent for the Treatment of HIV-AIDS: A Computational Analysis
Authors: Agrawal Ayan , Rani Isha , Shah Kamal , Mujwar Somdutt 
Published: August 2022

Abstract
Immunocompromised human ailment commonly acknowledged as acquired immunodeficiency syndrome (AIDS) is instigated on by human immunodeficiency virus (HIV). HIV infection spreads through the exchange of bodily fluids including blood, sperm, vaginal fluid, and breast milk because these fluids include both free virus particles and virus that has already infected immune cells. It has been one of the most widely communicable human diseases by sexual transmission. HIV directly affects the human immune system resulting in the gradual loss of immunity in response to the pathogenic invasion responsible for life-threatening infections and malignancies to proliferate. HIV infect vital immune cells like CD4 T-cells and macrophages in the human body in a number of ways, including by pyroptosizing infected T-cells, which causes a slow decline in their population. Herbal plants are used for the therapy of HIV infection since the traditional time. Some of the commonly used herbs for the treatment of HIV infection are Vernonia amygdalina, Rheum officinale, Hypoxis hemerocallidea, Rheum palmatum, Cinnamomum tamala, Cassia abbreviata, Cinnamomum zeylanicum, Sutherlandia frutescens, Artemisia annua, Calendula officinalis, etc. These plants are supposed to be investigated further for isolation of anti-viral agents against HIV.
Machine Learning Based-Models for the Qualitative Classification of Potassium Ferrocyanide using Electrochemical Methods
Authors: Kayali Devrim , Shama Nemah Abu , Aşır Süleyman , Dimililer Kamil 
Published: August 2022

Abstract
Iron is one of the trace elements that plays a vital role in the human immune system, especially against variants of SARS-CoV-2 virus. Electrochemical methods are convenient for the detection due to the simplicity of instrumentation available for different analysis. The square wave voltammetry (SQWV) and differential pulse voltammetry (DPV), are useful electrochemical voltametric techniques for diverse types of compounds such as heavy metals. The basic reason is the increased sensitivity by lowering the capacitive current. In this study, machine learning models were improved to classify concentrations of an analyte depending on the voltammograms obtained alone. SQWV and DPV were used to quantify the concentrations of ferrous ions (Fe+2) in potassium ferrocyanide (K4Fe(CN)6), validated by machine learning models for the data classifications. The greatest classifier algorithms models Back-propagation Neural Networks, Gaussian Naive Bayes, Logistic Regression, K-Nearest Neighbors Algorithm, K-Means clustering, and Random Forest were used as data classifiers, based on the data sets obtained from the measured chemical. Once competed to other algorithms models, used previously for the data classification, ours depend on the neural networks get greater specificity and sensitivity, maximum accuracy of 100% was obtained for each analyte in 25 seconds for the datasets.
Barriers in Cancer Risk Reduction in Community in Indonesia: A Qualitative Study
Authors: Tiranda Yulius , Nuntaboot Khanitta 
Published: August 2022

Abstract
Background: Posbindu Penyakit Tidak Menular/PTM (Integrated Development Post of Non-Communicable Diseases) is one of the strategies implemented by the MOH of Indonesia for prevention, screening, and early detection through community empowerment and community involvement in reducing the number of NCDs, including cancer. The aim of this study was to explore the barriers in reducing the risk of cancer. Methods: Twelve participants were involved in this study using in-depth interviews and participant observations. All the interviews and discussions were recorded using an audio tape recorder and also using field notes, and then a transcript was transcribed verbatim. Results: Five themes emerged namely providing funding for the program, obtaining appropriate support from the government based on the community’s needs and a health workforce shortage, sharing and discussing the health information, and cultural practices of the community as barriers to reducing the risk of cancer in the community. Conclusions: The study results can be used as evidence to develop and to sustain effective strategies to address the barriers to reducing the risk of cancer in communities in Indonesia.
Comparative Performance Analysis Under Dynamic Enviornment in Semantic Communication Systems
Authors: Nair Anamica. S. , Joseph George M , M Libish T 
Published: August 2022

Abstract
Natural language processing, which is guided by deep learning, has made amazing strides in the analysis and comprehension of a vast array of linguistic documents. To deal for channel noise and semantic distortion, DeepSC employs a hybrid semantic-channel coding. Implementing DeepSC, a deep learning system for semantic correspondence in text transmission. Semantic encoders, channel encoders, channel decoders, and semantic decoders make up the DeepSC transceiver, Cross-entropy and mutual-information are the two loss functions that are used to optimize the receiver in order to comprehend the semantic meaning and increase system capacity simultaneously. Additionally, a new statistic is put forth to truly reflect how well the DeepSC performs there at semantic level. According to the Transformer, the DeepSC goals increase the framework limit and reduce semantic errors by regaining the significance of phrases rather than identifying or correcting typos in conventional correspondences. Transfer learning is used to expedite the model training process and ensure that the DeepSC is relevant to diverse correspondence settings. Another measurement called sentence similarity is provided in order to justify the accurate portrayal of semantic correspondences. The system’s robustness is next evaluated by analyzing the findings with certain conventional communication systems (combinations of various source and channel codes). These channels include AWGN, Rayleigh, and Nagakami.
On the basis of sex: male vs female rat adenosine A1/A2A receptor affinity
Authors: Rensburg Helena D. Janse van , Terre’Blanche Gisella , Walt Mietha M. Van der 
Published: August 2022

Abstract
Objective: To ensure reproducibility in biomedical research, the biological variable sex must be reported; yet a reason for using male (instead of female) rodents is seldom given. In our search for novel adenosine receptor ligands, our research group routinely determines a test compound’s binding affinities at male rat (r) adenosine A1 and A2A receptors. This pilot study compared the binding affinities of four adenosine receptor ligands (frequently used as reference standards) at male and female adenosine rA1 and rA2A receptors. Results: The inhibition constant (Ki) values determined using female rats correspond well to the values obtained using male rats and no markable difference could be observed in affinity and selectivity of reference standards. For example, DPCPX the selective adenosine A1 receptor antagonist: male rA1Ki: 0.5 ± 0.1 nM versus female rA1Ki: 0.5 ± 0.03 nM; male rA2AKi: 149 ± 23 nM versus female rA2AKi: 135 ± 29 nM. From the limited data at hand, we conclude that even when using female rats for in vitro studies without regard for the oestrous cycle, the obtained data did not vary much from their male counterparts.
Using Automatic Speckle Tracking Imaging to Measure Diaphragm Excursion and Predict the Outcome of Mechanical Ventilation Weaning
Authors: Huang Daozheng , Song Feier , Luo Bangjun , Wang Shouhong , Qin Tiehe , Lin Zhuandi , Hou Tieying , Ma Huan 
Published: August 2022

Abstract
IntroductionThe speckle tracking ultrasound is an innovative technology enabling distinct assessment of diaphragmatic movement yet the relative data are scarce. In this pilot study, we sought to evaluate the predictive value for the weaning outcome of automatic speckle tracking in assessing diaphragm movement.MethodsThis prospective, multi-center, observational study. A total of 160 critically ill subjects underwent speckle tracking ultrasonography of the right/left hemidiaphragm before the spontaneous breathing trial. Meanwhile, the diaphragm excursion and velocity values were measured manually by M-mode ultrasound. Patients were divided into weaning-failure and weaning-success groups. The correlation was assessed between automatic and manual measurement and the diagnostic efficacy of automatic measured excursion and velocity for predicting weaning outcome was analyzed.Results88 patients completed the follow-up of the weaning outcome. The overall incidence of weaning failure was 43.18%. There was a strong association between automatic measurement of mean excursion and velocity assessed by speckle tracking imaging and manual measurement (R2 0.81 and 0.99, respectively). Receiver operating characteristic (ROC) curve analysis showed that the mean excursion and diaphragmatic velocity exhibited high diagnostic values for prolonged weaning (area under the ROC curve(AUROC) 0.824 and 0.786, respectively). The diaphragmatic excursion showed moderate diagnostic value for predicting both weaning failure and in-hospital death/withdrawing treatment ((AUROC 0.659 and 0.653, respectively). ConclusionAutomatic speckle tracking analysis of the diaphragm showed high consistency with conventional manual ultrasound measures. Diaphragmatic excursion and its excursion velocity helped predict mechanical ventilation weaning failure, prolonged weaning, as well as in-hospital adverse outcomes, which served as a reliable tool in guiding clinical weaning strategy.
TOP2A is a potential biomarker and promotes platinum drug resistance in ovarian cancer: a bioinformatics and experimental analysis
Authors: Zheng Xingyu , Liu Wenlu , Zhang Kaiwen , Chen Lingli , Zhao Shuangshuang , Yan Ye , Tian Wenyan , Xue Fengxia , Wang Yingmei 
Published: August 2022

AbstractBackground Ovarian cancer is a malignant tumour of the female genital system with a high lethality rate. Among which, serous ovarian cancer is the most prevalent type of ovarian cancer diagnosed. Many patients benefit from standard treatment, but some relapse due to chemotherapy resistance, resulting in increased mortality. TOP2A (topoisomerase DNA II alpha) as an oncogene has been reported to promote tumorigenesis in many publications. However, the role of TOP2A in tumorigenesis and chemotherapy resistance in ovarian cancer remains unclear. Results In our study, we demonstrated that TOP2A expression was increased in ovarian cancer. High TOP2A expression was linked to poor prognosis in ovarian cancer patients. We also constructed a potential lncRNA/circRNA-miRNA-TOP2A regulatory network. Additionally, we found that alterations in TOP2A were associated with ovarian cancer prognosis and affected some genetic alterations, mRNA expressions and phosphorylation site level expressions of related proteins. KEGG and GO analyses revealed that TOP2A-related genes were mainly enriched in DNA repair and platinum resistance. We also explored the relationship between TOP2A expression and immunity in ovarian cancer. Additionally, we demonstrated that the proliferation, migration and invasion of ovarian cancer cells were markedly diminished after TOP2A knockdown. TOP2A knockdown can increase the expression of p-H2AX and limit the Akt/mTOR and ERK/P38/JNK signalling pathways. We also demonstrated that TOP2A knockdown increase the sensitivity of ovarian cancer to platinum. Conclusions Collectively, TOP2A might be a promising diagnostic biomarker and therapeutic target in ovarian cancer. Inhibitors of TOP2A combined with platinum drugs might be a good strategy for the treatment of ovarian cancer
Metaphase Cells Enrichment for Efficient Use in the Dicentric Chromosome Assay
Authors: Platkov Max , Hadad Uzi , Burg Ariela , Levitsky Inna , Zagatzki Michael , Damri Omer , Weiss Aryeh , Lauber Yair , Amar Shirly , Carmel Lior , Gonen Raphael 
Published: August 2022

Abstract
The dicentric chromosome assay (DCA), is considered the ‘gold standard’ for radiation biodosimetry. Yet, DCA, as currently implemented, may be impractical for emergency response applications, especially when time is of the essence, owing to its labor-intensive and time-consuming nature. The growth of a primary lymphocyte culture for 48h in-vitro is required for DCA, and manual scoring of dicentric chromosomes (DCs) requires an additional 24–48h, resulting in an overall processing time of 72–96h for dose estimation. In order to improve this timing. we introduce a protocol that will detect the metaphase cells in a population of cells, and then will harvest only those metaphase cells. Our metaphase enrichment approach is based on fixed human lymphocytes incubated with monoclonal, anti-phosphorylated H3 histone (ser 10). Antibodies against this histone have been shown to be specific for mitotic cells. Colcemid is used to arrest the mitotic cells in metaphase. Following that, a flow-cytometric sorting apparatus isolates the mitotic fraction from a large population of cells, in a few minutes. These mitotic cells are then spread onto a slide and treated with our C-Banding procedure [Gonen et al. 2022], to visualize the centromeres with DAPI. This reduces the chemical processing time to approximately 2 hours. This reduces the time required for the DCA and makes it practical for a much wider set of applications, such as emergency response following exposure of a large population to ionizing radiation.
Effıcıency And Clınıcal Results Of Bleomısın Injectıon In The Treatment Of Lymphatıc Malformatıons
Authors: Sıkı Fatma Özcan , SARIKAYA Mehmet , Gündüz Metin , Sekmenli Tamer , Koksal Yavuz , Çiftci İlhan 
Published: August 2022

AbstractINTRODUCTION: Lymphatic malformations (LM) are rare congenital anomalies. The traditional treatment is surgical excision, but intralesional sclerosing agent injection is now preferred because of frequent recurrences after surgery, poor cosmetic results, and a high complication rate. We aimed to evaluate the efficacy of sclerosing agent injection used in the treatment of LMs in children. MATERIALS AND METHODS: We retrospectively analyzed the age, gender, admission symptoms, physical examination findings, radiological imaging results, treatment methods, complications, length of hospital stay, and outcomes of children treated for LM between January 2011 and January 2022. The lesion sizes of the patients who underwent sclerosant (Bleomycin) injection under general anesthesia were recorded before and after the treatment, and the difference between them was evaluated statistically. RESULTS: Fifteen patients were retrospectively analyzed. The mean age was 45.2+- 14.1 months (min:3- median:17- max:210). Of these, 10 (66.6%) were male and 5 (33.3%) were female (F/M=1/2). The mean age of male patients was 55 +- 20.1 months (min :3- max:210 months); The mean age of the female patients was 25.8 + - 11.2 (min 3- max: 66 months). Seven patients had a single dose, two had twice and six had three and more. Three patients had LM in different localisations simultaneously. After the sclerosant injection, surgery was performed on 2 patients, and the tissue that became a mass was removed. The average lesion size before the treatment was 55.2+-28.4 mm; after treatment: 23.8+-18.2mm. With the statistical analysis, it was seen that there was a statistically significant difference between the dimensions before and after the treatment (p<0.05) and the sclerosant injection had a great effect on the treatment (R:0.89). CONCLUSION: Intralesional injection of bleomycin is less effective for microcystic or mixed type LMs, but provides effective reduction for a safe surgical procedure. It is an effective treatment for macrocystic lesions.