Miracle-dz/UniFAR-FTUs huggingface dataset:
Difference Expressions CD34 in Acute Myeloid Leukemia Cell Culture in the Administration of Cytarabine-Daunorubicine Dose Standards

The cure rate for patients with Acute Myeloid Leukemia (AML) is 20-75%. Standard-dose cytarabine + (SDAC)-daunorubicine gives a remission rate of ± 60%, and the case of relapse is frequently found. In-vivo CD34 expression is a reliable and straightforward test that must evaluate AML patients' response to predict the response of chemotherapy + induction phase accurately. Differences in in-vitro CD34 expression are expected to be able to predict chemosensitivity in AML patients. An experimental post-test-only control group study was conducted from May to December 2019, and 8 AML subjects were found. Peripheral Blood Mononuclear Cells (PBMC) were isolated from peripheral blood samples of patients with AML collected in EDTA tubes. The PBMC isolated from peripheral blood were divided into two groups, and each group contained 106 PBMC cells in culture media. The control group (without treatment) and the SDAC-daunorubicine group were 0 + incubated for 4 hours at 37 C with a 5% CO2 atmosphere. The expression of CD34 was measured using FACSCalibur™, while + CD34+ percentage was calculated with CellQuest™ software. The percentage of CD34 in the control, SDAC + DNR, showed a significant difference with p < 0.001. This study showed a significant difference between the control group and the group + administered with the standard dose of cytarabine-daunorubicine with p < 0.001. The average CD34 expression in the + SDAC-DNR treatment group was higher than in the control group. CD34 markers cannot be used as predictors of chemosensitivity in the administration of chemotherapy.
The Role of NT-proBNP as Prognostic Biomarker for Preeclampsia Complications: A Systematic Review Protocol

Background There are two central dogmas between the pathophysiology of preeclampsia, the placental origin and the extra-placental origin. Recent findings found that women with a history of preeclampsia are at higher risk of cardiovascular disease and death because of cardiovascular disease. This finding leads to the extra-placental origin. During normal pregnancy, the maternal cardiovascular system undergoes modification. However, hemodynamic and vascular modification are disrupted in women who develop preeclampsia. NT-proBNP is a biomarker that indicates the disruption of the cardiovascular system and can predict the complication of preeclampsia. Based on that information, we would like to investigate the roles of NT-proBNP plasma levels in predicting maternal and fetal complications of preeclampsia women. Besides, we also investigate the roles of NT-proBNP plasma levels in predicting the severity and onset of preeclampsia women and the sensitivity and specificity of NT-proBNP plasma levels in preeclamptic women.MethodsWe designed and registered a study protocol for a systematic review. This study aims to investigate the roles of NT-proBNP plasma levels in predicting maternal and fetal complications of preeclampsia women. The Cochrane Handbook for Systematic Reviews of Diagnostic Test Accuracy was used to structure our methodological approach and the Preferred Reporting Items for a Systematic Review and Meta-Analysis Protocols guidelines in reporting the findings of this review. We will search literature in Hinari, Cochrane Library, ScienceDirect, and Scopus database. Then, we will search the grey literature in OCLC’s OAISTER. Randomized controlled trials and observational studies will be included in the analysis. Three reviewers will independently screen articles, extract data, and evaluate for quality and bias using Newcastle-Ottawa Scale. Studies were included according to the following procedures: (1) Identification, Duplication of articles and non-original research articles will be excluded; (2) Title and Abstract Screening, RCT and observational studies and focused on NT-proBNP levels in preeclampsia; (3) Full-text availability; and (4) Full-text screening based on PICO criteria. Each outcome is synthesized by a qualitative or narrative approach. The results will be divided into certain points, namely (a) Selection of the studies, (b) Characteristics of the Eligible Studies, (c) Data Extraction of the Eligible Studies, and (d) Risk of Bias Analysis Results.Discussion A systematic review of the role of NT-proBNP as predicting biomarkers for preeclampsia complications will be conducted. This study can help predict the severity, onset, and complication of a pregnant woman with preeclampsia.
The Contribution of Syndromic Diagnostic Tests to Pertussis Epidemiology

1 Clinic of Pediatric Infectious Diseases, Marmara University Pendik Training and Research Hospital, İstanbul, Turkey 2 Department of Medical Microbiology, Marmara University School of Medicine, İstanbul, Turkey 3 Clinic of Medical Microbiology, Marmara University Pendik Training and Research Hospital, İstanbul, Turkey DOI: 10.5578/ced.20219919 • J Pediatr Inf 2021;15(1):e7-e11 Original Investigation / Özgün Araştırma
Review of: "Low cigarette consumption and risk of coronary heart disease and stroke: meta-analysis of 141 cohort studies in 55 study reports"

However, this nonlinear curve is attributable to three basic oversights rather than a true effect: 1. The curve represents brackets of cigarette consumption plotted by their midpoints. However, in normal distributions, prevalence is higher at values closer to the mean. Thus, within consumption brackets spanning below the mean, the distribution of smokers will be skewed upwards (towards the mean). Consequently, midpoints will understate exposure in below-mean brackets. The inverse is true for above-mean brackets: the distribution of smokers will be skewed downwards and concentrated below the bracket midpoint. Consequently, midpoints will exaggerate exposure within above-mean brackets. This will manifest in a trendline exaggerating outcomes at lower exposures and understating outcomes at higher exposures. 2. Regression towards the mean: Light smoking tends to increase over the course of follow-up: Among 1-4 CPD smokers at baseline, continuing smokers mostly moved to higher consumption brackets within a decade. [2] Regression to the mean also entails that outlier smokers tend to have a history of smoking at levels that are closer to the mean than measured. While Hackshaw et al cite one study reporting a large cardiovascular disease risk for continuous <1 CPD smokers, that same study also shows an anomalous tenfold increase in lung cancer at the same dose,[3] contradicting the broad evidence for a linear relationship between smoking and lung cancer (or a quadratic curve climbing at a steeper rate with greater exposures). [4][5] Regression to the mean is less evident in relation to lung cancer because of the decades lag between smoking and resultant lung cancer. [6] 3. Compensatory inhalation: Light smokers inhale much more smoke per cigarette than do heavier smokers. The 2010 Surgeon General's Report on smoking states:[7] "As use exceeds 10 to 15 cigarettes per day, a progressively smaller increment in serum cotinine for each increment in the number of cigarettes smoked per day is observed (Caraballo et al. 1998; O'Connor et al. 2006). This flattening of the relationship between exposure and cigarettes smoked per day was similar to flattening of Qeios, CC-BY 4.0 · Review, May 20, 2021
Sulphate supergene minerals: An intuitive indicator for deep deposit in plateau regions

The world‐class Rongna Cu(Au) deposit, located in the Duolong mining district, is the first epithermal‐porphyry deposit along the Bangong–Nujiang metallogenic belt. The acidic spring developed in the centre of the Rongna Deposit and its basin has a high amount of heavy metals. Therefore, metal elements (Cu, Pb, Zn, Cd, As, Cr and Hg), pH, SO42− of the Rongna River and the composition of its supergene minerals are studied to discuss the environmental influence and provide a theoretical basis for the comprehensive utilization and environmental management of the Rongna Deposit. The result shows that there are eight kinds of supergene minerals: natrojarosite, hexahydrite, tamarugite, anhydrite, pickeringite, bloedite, gypsum and naujakasite, among which, naujakasite is discovered for the first time in China. The material sources of these sulphate minerals and acidic water are from the sulphate in the ores that experience the leaching process and oxidation. The spring is severely acidified, whose pH values are 2.70–3.08, the single pollution index of Cr, Cd, Pb, Hg and As are less than 1, but the index of Cu and Zn exceed the Class III National Water Standard by about twice, showing a mild pollution, its comprehensive pollution index values 0.8 ~ (<2.5), showing good quality. The pH of Rongna River water values are 7.70–7.92, the single pollution index is less than 1, indicating no pollution, and the comprehensive pollution index is less than 0.8, indicating good quality. However, considering the vulnerable ecological environment in Tibet, the acidic spring still needs manual intervention. An open‐air reservoir can be built upstream of the acidic spring, and the pollutants can precipitate by natural evaporation and then be recycled.
Scale of operations of MNCs and heterogeneity: a multi-country analysis

ABSTRACT This paper examines the relationship between the productivity of parent firms and the scale of their subsidiaries in foreign markets. The empirical exam is based on a large sample of firms from 32 different countries. The average elasticity estimated for the baseline sample is 0.34; i.e. a 1% increase in labour productivity increases the scale of subsidiaries by 0.34%. For TFP, the elasticity is slightly lower, 0.23. The relationship is much stronger for manufacturing firms than for firms in the service sector. The paper also analyzes the degree of heterogeneity of elasticities estimated across countries. We find differences in the magnitude of elasticities but confirm the positive relationship between scale and parent firm productivities for a large fraction of countries. It also addresses the issue of potential endogeneity of productivity. The positive relationship between scale and productivity is confirmed when controlling for this.
Investigation of the Effect of Aerosolized TiO2 Nanoparticles on the NO2 Concentrations under UVA Exposure

ABSTRACT Nanoparticles are utilized and produced in many engineering processes. Engineered nanomaterials (ENM) may become airborne during different phases of their life cycle. TiO2 is one of the most produced ENM which is known for its photocatalytic properties, especially in the degradation of NO2. Ambient NO2 stems mainly from combustion processes in traffic and industry and can be harmful to human health upon inhalation. The aim of the work presented here was to study the effect of airborne TiO2 nanoparticles on the NO2 concentrations under UVA exposure. In this study, the effect of UVA exposure, TiO2 concentration, as well as of different relative humidity levels on the reduction of NO2 concentrations were investigated. Our results show that the reduction of NO2 depends on the TiO2 concentration, as well as on the UVA exposure. At high particle concentrations (in this study >3.23E+06 cm-3), the reduction of the NO2 concentration was nearly independent of the UVA exposure. On the other hand, for high UVA exposure, the influence of the TiO2 nanoparticle concentration is small. The results further show that by increasing the exposure time, the effect of UVA exposure on the reduction of the NO2 became dominant in comparison with the TiO2 concentration. The effect of humidity was also investigated for relative humidity levels of 5%, 35%, and 70%. Our results show that under high UVA exposure (6328 W s m -2) the effect of relative humidity is negligible.
Comprehensive Corporate Governance Mechanism and Disclosure Quality: Evidence from the United Kingdom

Our study empirically examines the relationship between corporate governance and disclosure quality from the context of the United Kingdom. While studies on corporate governance and disclosure quality are extensive, we argue that only limited studies have utilised analyst forecast accuracy as a proxy for disclosure quality. We concentrateon the analyst forecast accuracy since we value the credibility of financial analysts in forecasting the firm’s earnings. Analyst are the expert users of the firm’s information and they rely on their analysis to predict firm’s earnings as well as to make a recommendation. We derived our sample from the analyst perception on the firms with high quality of disclosure that is the Investor Relation (IR) Magazine Award. Specifically we used 127 match-paired sample (i.e., winners and non-winners) of IR Magazine Award during the year 2005-2008. We measure corporate governance using board characteristics, audit committee characteristics, chairman and audit committee multiple directorships, chairman tenure and institutional ownership. Our findings report that multiple directorship by audit committee consistently increases disclosure quality. This suggest that the multiple directorships held by audit committee in other firms potentially improve their knowledge and experience in improving the quality of disclosure.Moreover, the result also shows a negative association between audit committee financial expertiseand board independent on the extent of quality of disclosure. These findings imply that the appointment of audit committee with financial expertise as well as an independent directors are merely a ticking the box activities, thus it appears in the letter form, but not in spirit. Our results are robust across various estimation, alternative measurement as well as endogeneity test that we have conducted.
Comparing HO and Travis Criteria in Acute Severe Ulcerative Colitis – In a Tertiary Care Centre, South India

Aim: To compare Ho score with Travis score in predicting steroid responsiveness in acute severe ulcerative colitis. Methods and Material: Our study is a prospective observational study including all patients who got admitted in Institute of medical gastroenterology, Rajiv Gandhi Government General Hospital, Chennai, between January 2019 and December 2019 with acute severe ulcerative colitis as per True love witts score. Results: Among 64, 55 were male and 9 were female. Mean age of patients is 32 years (range 16-45 years). Day 3 Travis score was high in 16 patients (25%) and low in 48 patients (75%). 48 patients (75%) were steroid responsive and 16 patients (25%) were steroid non-responsive who received second line therapy in the form of anti-TNF agents. All 4 patients with high Ho score on day 3 were steroid non-responders, 6 patients with intermediate Ho score were steroid responsive and 12 patients with intermediate Ho score on day 3 were steroid non-responders. Ho score of > 2.5 has sensitivity of 62.5% and specificity of 100% in predicting steroid responsiveness. Conclusion: We conclude that in acute severe ulcerative colitis, patients with high Travis or the Ho scores are more likely to be resistant to IV steroids. In anti-TNF era, the risk of surgery in those high risk patients is lower than previously reported.
Akuntansi Pertanggungjawaban Sosial Menggugat Keuangan Perusahaan Ditinjau Dari Konsep Going Concern

The purpose of this study is to find out the application of the going concern concept combined with financial performance to be able to encourage companies to carry out their social responsibility to remain a sustainable (future) point. In addition, this study also aims to determine the perceptions and level of satisfaction felt by stakeholders on the implementation of corporate social responsibility (CSR) programs carried out by the company to stakeholders in order to guarantee the company's business continuity in the future. This research is qualitative research with a critical approach based on pseudo sustainability through interviews with a total of 6 informants. The results showed that analyzing the company's finances in combination with the going concern concept was able to encourage companies to carry out their social responsibility to remain a concern for the future. The results of the study also show that the CSR programs carried out by the company are considered good and very beneficial for employees and the community around the company. This research also shows that the evaluation of the implementation of CSR programs is realized quite well, stakeholders both internal (employees) and external (local communities) are quite satisfied with the implementation of CSR programs carried out by the company to stakeholders.
Multi-Aircraft Trajectory Collaborative Prediction Based on Social Long Short-Term Memory Network

Aircraft trajectory prediction is the basis of approach and departure sequencing, conflict detection and resolution and other air traffic management technologies. Accurate trajectory prediction can help increase the airspace capacity and ensure the safe and orderly operation of aircraft. Current research focuses on single aircraft trajectory prediction without considering the interaction between aircraft. Therefore, this paper proposes a model based on the Social Long Short-Term Memory (S-LSTM) network to realize the multi-aircraft trajectory collaborative prediction. This model establishes an LSTM network for each aircraft and a pooling layer to integrate the hidden states of the associated aircraft, which can effectively capture the interaction between them. This paper takes the aircraft trajectories in the Northern California terminal area as the experimental data. The results show that, compared with the mainstream trajectory prediction models, the S-LSTM model in this paper has smaller prediction errors, which proves the superiority of the model’s performance. Additionally, another comparative experiment is conducted on airspace scenes with aircraft interactions, and it is found that S-LSTM has a better prediction effect than LSTM, which proves the effectiveness of the former considering aircraft interaction.
CBS-GAN: A Band Selection Based Generative Adversarial Net for Hyperspectral Sample Generation

Sample generation is an effective method to improve the performance of hyperspectral image classification by generating virtual samples for training sample expansion in the training process of classification. However, there are some defects existing in the previous sample generation methods including the lack of spatial information, the redundant generation and the damage of the original spectral components. In this paper, we propose conditional band selection generative adversarial net, named CBS-GAN, to handle this problem. Firstly, the band selection net of CBS-GAN is utilized to avoid redundant bands and keep original spectral information, then the generation net of CBS-GAN generates the spatial-spectral data blocks by selected bands for sample generation. The experiments of classification are also used to demonstrate the availability of virtual samples generated by our method.
Wireless Sensor Network routing for Life Time Maximization Using ANFIS Based Decision with Low Power Consumption

Article History: Received: 11 January 2021; Accepted: 27 February 2021; Published online: 5 April 2021 Astract: Wireless sensor networks (WSNs) allocate thousands of cheap micro-sensor nodes to a hundreds to more than thousands of nodes in the reserved areas. In the WSN, sensor nodes control storage resources, calculating energy of nodes, power resources of nodes, and additional resources information on a sensor network. These micro-sensor nodes are key components of the Internet of Things (IoT). WSNs are pre-arranged in clusters or groups to protect the ability for efficient data communication. Strong routing methods are required to maintain long network life and achieve high power usage. In this work, the new energy efficient ANFIS-based routing system for WSN enabled IoT to improve network performance. The proposed ANFIS-based routing involves a novel distributed clustering mechanism that activates the local configuration of local node energy equally across all sensors. A new technique for replacing clusters and rotating nodes with a centroid-based cluster head (CH) to distribute loads. The simulation results show that the proposed program will surpass conventional methods with 78% improvement over the lifetime of the network and 26% improvement in performance.
Association of Clustering of Unhealthy Lifestyle Behaviors with Perceived and Actual Weight Status of Children and Adolescents: the CASPIAN-V Study

Zusammenfassung Ziel Diese Studie wurde durchgeführt, um den Zusammenhang zwischen ungesundem Lebensstil und tatsächlichem und wahrgenommenem Gewichtsstatus in einer großen Stichprobe von Kindern und Jugendlichen zu bestimmen. Methoden Diese nationale Studie wurde in städtischen und ländlichen Gebieten in 30 Provinzen im Iran durchgeführt. Die Teilnehmer waren 14 880 Schüler im Alter von 7–18 Jahren. Die latente Klassenanalyse wurde auf der Grundlage von 11 ungesunden Verhaltensweisen in Bezug auf Ernährungs- und Bewegungsgewohnheiten durchgeführt. Ergebnisse Verglichen mit geringen ungesunden Verhaltensweisen war die Wahrscheinlichkeit mäßig ungesunder Verhaltensmuster bei Mädchen, die sich als übergewichtig/adipös empfanden, geringer als bei denen, die sich als normalgewichtig empfanden (OR, 95 %-KI: 0,76 [0,59; 0,97]). Das Risiko mäßig ungesunder Verhaltensweisen war bei Jungen, die sich von ihren Eltern als untergewichtig wahrgenommen wurden, größer als bei denen, die sich von ihren Eltern als normalgewichtig wahrgenommen wurden (OR, 95 %-KI: 1,65 [1,21; 2,24]). Schlussfolgerung Das wahrgenommene Körpergewicht korrelierte eher mit ungesunden Lebensgewohnheiten als mit dem tatsächlichen Gewichtsstatus. Die Korrelation des ungesunden Lebensstilverhaltens mit dem wahrgenommenen Gewicht war stärker als die mit dem tatsächlichen Gewichtsstatus. Eine Häufung ungesunder Lebensgewohnheiten kann zur Entwicklung von Initiativen zur Prävention von Adipositas auf individueller und öffentlicher Gesundheitsebene genutzt werden.
A novel GPR signal processing environment running on containers

Running applications and platforms as containerized services is a trending technology for either personal computers and cloud systems. It simplifies various tasks of developers such as building all-in-one, ready-to-use development environments. This paper explains how to easily prepare a stand-alone containerized signal processing environment. The container consists of a Jupyter environment, which is a web-based interactive application that allows the user to write live code and visualize. In this paper we also share a ready-to-use containerized GPR signal processing environment.
How Does User Experience Affect Network Effects of Social Media Platforms?

The success of social media platforms depends significantly on whether it is able to create large network effects such that advertisers and businesses are attracted to their platforms. The sole purpose of social media platforms is to get people to interact through different types of communication, including text chat, video chat, image, post, etc. How comfortable users are when they use a social media platform decides whether they will stay on that platform and participate. Therefore, user decision and participation in social media platforms play an important role in determining the scale of network effects. This paper mainly focuses on how user experience influences network effects of social media platforms. User experience can be affected in many aspects, and this paper discusses aspects of demographic effects, platform functionality, user privacy, distrust and misinformation, social anxiety, and platform-based advertisements and businesses. To assess how those factors affect user experience, several surveys and data are collected from the Internet.