Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Heart Rate Variability in Children with Cancer after Elevated Cumulative Anthracycline Dose: A Prospective Study

Objective: Anthracyclines which are the main drug of chemotherapy protocols had cardiotoxicity as the most frequent and well-known side effect. We aimed to evaluate prospectively the heart rate variability with 24-hour Holter electrocardiography (ECG) in children with cancer who treated with anthracycline drugs. Material and Methods: The 24-hour Holter ECG monitoring was performed at the baseline, at time of 120 mg/m 2 and ≥240 mg/m 2 of cumulative anthracycline dose in patients with cancer who treated with anthracycline. The time-domain and frequency-domain measurements of heart rate variability (HRV) were obtained. The patients were classified into three groups as Group1:at baseline(n=54), Group 2:≥120mg/m 2 (n=54), Group 3:≥240mg/m 2 (n=54). Results: The median age was 48 months (range 9-192 months). All types of cancer were 38 patients (70.4%) of acute leukemia, two patients (3.8%) of T lymphoblastic lymphoma, and 14patients (25.8%) of other childhood cancer who treated with anthracycline. However, all heart rate variability parameters were decreased after each increased cumulative anthracycline dose, especially time-domain parameters such as nSDNN index, rMSSD, pNN50, frequency parameters such as LF, HF, and Total power were significantly altered among Group1 and Group 3. LF/HF ratio was also statistically significantly increased in Group 3. According the heart rate parameters, the mean average heart rate, mean minimum heart rate and mean RR were statistically significantly prolonged from Group1 to Group 3. Conclusion: Heart rate variability parameters are a noninvasive technique to demonstrate cardiac autonomic neural dysfunction and early myocardial injury. The 24-hour Holter ECG may be used for detecting early cardiac dysautonomia effect during anthracycline treatment with each elevated 120mg/m 2 anthracycline of cumulative dose. were obtained: minimum, maximum, and mean HRs, ventricular or supraventricular ectopic beats, ventricular tachycardia (VT) or supraventricular tachycardia (SVT) episodes, atrioventricular block or sinus pause. data, heart rate variability parameters as SDNN, SDANN, SDNN index, rMSSD, pNN50, LF, HF, VLF, and Total power shortened, while LH/HF increased with elevated cumulative anthracycline dose. Our study showed decreased parasympathetic and increased sympathetic activity. However, decreased HRV is a predictor of adverse outcomes in myocardial infarction, sudden cardiac death, and congestive heart failure (12). In our study, decreased HRV was detected associated with cardiac dysfunction as similar to given clinical scenarios. SDNN significantly correlated with poor survival (13). early ischemia with the result of lower SDNN index, rMSSD, pNN50 parameters in our study.
Radiative Channeling of Nanowire Frenkel Exciton Polaritons through Surface Plasmons

(1 of 6) 1600873 wave guiding[26] of light over millimeter length scale. Such long distance optical transport properties have been utilized for variety of nanophotonics applications such as optical logic gates,[27] resonators,[9,28] nanolasers,[26] photonic circuits,[12,28] etc. Interfacing organic molecular platforms with surface plasmons (SPs),[29–31] which are charge density oscillations at metal–dielectric interface, can provide excellent platform to study exciton–plasmon interaction at weak[32] and strong coupling[33,34] regimes. Interestingly, such coupling can also be harnessed for controlling light emission from organic nanostructures,[35] down to single photon limit. [36] A variety of schemes have been explored to interface excitonic systems with surface plasmons such as coupling of quantum dots with plasmonic substrate,[37] layered materials with plasmonic lattice,[38] core–shell nanoparticles,[33] molecular J-aggregates layer with plasmonic nanoparticles,[39,40] and photonic nanowire with gold nanoparticles. [36] These investigations are predominantly confined to probe energy transfer mechanism, recombination processes,[41] photoluminescence enhancement,[42] Rabi splitting,[43] generation of hybrid states,[44] biosensing applications,[45,46] and low-threshold nonlinear effects. [21] In many of these approaches, the dimensionality of the molecular material is either quasi 0D or quasi 2D in nature. So far, there are a few reports[47,48] on interfacing quasi 1D organic molecular systems, such as horizontally oriented nanowires with surface plasmons. [47,48] Alternately, we have recently introduced vertically oriented organic nanowire on a gold thin film. [49] Such a single, vertical nanowire provides a unique opportunity to study coupling of 1D propagating exciton polaritons with 2D propagating plasmon polaritons at nanoscale at a single point of contact. In this coupling scheme, an important issue to be addressed is the outcoupling of EP photoluminescence emission from a single, vertical nanowire into a specific direction through leaky plasmon channels of a gold film. Given that spontaneous emission is isotropic, there is an imperative to channel the nanowire emission, such that a majority of the light is collected and harnessed. Such directional outcoupling of emitted light has consequence on designing photovoltaic devices such as single-nanowire solar cells,[41,50,51] organic light emitting devices,[3,23] exciton-polariton lasers,[26] and nanooptical biosensors. [21,23] Here, we experimentally demonstrate directional, excitonpolariton photoluminescence emission channeled from a single, vertical organic nanowire through a plasmonic leaky channel of gold thin film. Figure 1 shows the conceptual schematic of the experiment. The tip of a vertically oriented organic semiconducting nanowire made of di-amino-anthraquinone (DAAQ) molecules is excited by a tightly focused laser beam at 532 nm wavelength. This excitation wavelength is close Radiative Channeling of Nanowire Frenkel Exciton Polaritons through Surface Plasmons
Analytic Hierarchy Process with the Correlation Effect via WordNet

The analytic hierarchy process (AHP) is a well-known approach in decision-making because of its simplicity and rationality. However, in conventional AHP, it cannot account for the correlation effect between criteria. In this paper, we use the lexical database, WordNet, to calculate the similarity between criteria set by a decision-maker. Then, we use the similarity matrix to process the factor analysis and obtain the independent factors, which are composed of their criteria. Finally, the weights of factors are derived to evaluate the alternatives. Moreover, we use a case study of online shopping to illustrate the proposed method and compare the result with the conventional AHP.
Comparison of the Analytical Profiles of Volatiles in Single-Hopped Worts and Beers as a Function of the Hop Variety

Dr. Michael Dresel, Ing. Tatiana Praet, Dr. Filip Van Opstaele, Prof. Dr. Guido Aerts, Prof. Dr. Luc De Cooman, KU Leuven @ KAHO Sint-Lieven, Faculty of Engineering Technology, Department of Microbial and Molecular Systems (M2S), Cluster Bio-Engineering Technology (CBeT), Laboratory of Enzyme, Fermentation and Brewing Technology (EFBT), Ghent, Belgium; Ann Van Holle, Dirk Naudts, R&D Department, De ’proef’brouwerij, Lochristi, Belgium; Prof. Dr. Denis De Keukeleire, Em. Prof. Ghent University, Ghent, Belgium; corresponding author: michael.dresel@hotmail.de Authors M. Dresel, T. Praet, F. Van Opstaele, A. Van Holle, D. Naudts, D. De Keukeleire, L. De Cooman and G. Aerts
Biopulping kayu mahang (Macaranga hypoleuca) menggunakan jamur Phanerochaete chrysosporium

Biopulping merupakan perlakuan awal menggunakan jamur pendegradasi lignin sebelum dilakukan pengolahan pulp. Jamur pelapuk putih (FPP) Phanerochaete chrysosporium digunakan pada proses biopulping kayu mahang (Macaranga hypoleuca). Kayu mahang cocok digunakan untuk pulp mekanis dan semi-mekanis. Tujuan penelitian ini adalah mengetahui sifat kimia dan sifat pengolahan pulp semi-mekanis kayu mahang yang telah diinokulasi jamur P. chrysosporium. Parameter yang diamati adalah sifat kimia kayu, derajat kristalinitas dan sifat pengolahan pulp. Sifat kimia kayu meliputi selulosa, lignin dan hemiselulosa. Sifat pengolahan pulp yang dikaji adalah rendemen pulp dan tingkat kecerahan pulp. Pengolahan pulp semi-mekanis menggunakan aksi kimia (NaOH 8%, b/b) dan aksi mekanis berupa penguraian serat (refining). Hasil penelitian menunjukkan bahwa biopulping dengan jamur P. chrysosporium berhasil menurunkan kadar lignin sebesar 12,05% terhadap kontrol. Derajat kristalinitas serpih kayu mahang meningkat sebesar 12,55%. Terdegradasinya komponen sel kayu mahang menyebabkan terjadinya penurunan rendemen pulp coklat dan tingkat kecerahan pulp.
A Hybrid Intelligent Approach to Predict Discharge Diagnosis in Pediatric Surgical Patients

Computer-aided diagnosis is a research area of increasing interest in third-level pediatric hospital care. The effectiveness of surgical treatments improves with accurate and timely information, and machine learning techniques have been employed to assist practitioners in making decisions. In this context, the prediction of the discharge diagnosis of new incoming patients could make a difference for successful treatments and optimal resource use. In this paper, a computer-aided diagnosis system is proposed to provide statistical information on the discharge diagnosis of a new incoming patient, based on the historical records from previously treated patients. The proposed system was trained and tested using a dataset of 1196 records; the dataset was coded according to the International Classification of Diseases, version 10 (ICD10). Among the processing steps, relevant features for classification were selected using the sequential forward selection wrapper, and outliers were removed using the density-based spatial clustering of applications with noise. Ensembles of decision trees were trained with different strategies, and the highest classification accuracy was obtained with the extreme Gradient boosting algorithm. A 10-fold cross-validation strategy was employed for system evaluation, and performance comparison was performed in terms of accuracy and F-measure. Experimental results showed an average accuracy of 84.62%, and the resulting decision tree learned from the experience in samples allowed it to visualize suitable treatments related to the historical record of patients. According to computer simulations, the proposed classification approach using XGBoost provided higher classification performance than other ensemble approaches; the resulting decision tree can be employed to inform possible paths and risks according to previous experience learned by the system. Finally, the adaptive system may learn from new cases to increase decisions’ accuracy through incremental learning.
Impact of Workplace Spirituality on Organizational Commitment – A Study in an Emerging Economy

Workplace spirituality has emerged as one of the effective mechanisms to induce organizational commitment, job involvement, creativity, innovation and to reduce employee turnover intentions This has attracted the attention of researchers worldwide, and there have been several studies on the components and effect of workplace spirituality on employee performance in Western nations The Covid 19 pandemic has led to job losses and pay cuts across industries, leading to an alarming Increase in stress, depression and alcohol and substance abuse among employees However, hardly any studies have been conducted on workplace spirituality in the Gulf Cooperation Council (GCC) region, leaving a gap in the literature This study investigates the impact of four dimensions of workplace spirituality namely, meaningful work, inner life, organizational values and sense of community on the organizational commitment of employees working in various organizations in Oman during Covid-19 The study employs survey data collected from 117 respondents across various managerial levels using a structured questionnaire having 20 items The data has been analyzed using SmartPLS 3 software The results reveal the impact of the chosen dimensions of workplace spirituality on the organizational commitment of employees The findings of the study suggest that meaningful work has the highest impact on organizational commitment, followed by inner life and sense of community Organizational values have been found not to have a significant effect on organizational commitment Workplace spirituality can have a profound impact on the mental health and wellbeing of employees in these troubled times © 2021 Karadeniz Technical University All rights reserved
A Framework of an Intelligent Education System for Higher Education Based on Deep Learning

Intelligent learning platforms and education information application platforms are gaining ground, owing to the wide application of modern technologies such as the Internet of Things, big data analysis, artificial intelligence, and cloud computing. However, the current platforms cannot solve specific teaching problems, and the relevant research mostly focuses on primary and secondary education. Therefore, this paper constructs and analyzes a framework of intelligent education system for higher education based on the deep learning. Firstly, the functional block diagram of the system was built up. Next, a face detection algorithm was proposed based on the multi-task convolutional neural network, a face recognition algorithm was developed based on the improved deep convolutional neural network, and the knowledge learning status of students was tracked based on the memory augmented neural network. Finally, the proposed framework was proved effective and swift through experiments. The research results expand the application scope of the deep learning in education.
On an exact solution to the nonlinear heat equation with a source

The paper is devoted to the study of a singular nonlinear second-order parabolic equation, which is called the porous medium equation or the nonlinear heat equation. One of the important classes of its solutions is heat waves propagating over a zero background with a finite velocity. This property is not typical for parabolic equations and is a consequence of singularity. The main object of study is exact solutions of mentioned type. A new way of separating variables is used to represent them. We obtain conditions when it is possible to make a reduction to the Cauchy problem for an ordinary second-order differential equation with a singularity. It is shown that the Cauchy problem describes a heat wave whose front moves exponentially. We construct a solution to the Cauchy problem as a power series and determine the cases when the series breaks off, i.e. the solution has the form of a polynomial, and the corresponding heat wave can be written explicitly. If the Cauchy problem cannot be explicitly integrated, the solution is constructed numerically. An algorithm based on the boundary element method is proposed. We perform a computational experiment and conclude the properties of the found solutions. Besides, the accuracy of the calculation results is analyzed.
On the Direct Extrusion of Solder Wire from 52In-48Sn Alloy

In this article, technology for producing wire and rod solder from 52In-48Sn alloy has been developed and investigated in the conditions of small-scale production. The use of direct extrusion of wire and rods instead of traditional technology for producing solder, which includes pressing, rolling and drawing, can significantly reduce the fleet of required equipment. Using only a melting furnace and a hydraulic press, solder wires and rods can be produced in various sizes. Shortening the production cycle allows you to quickly fulfill small orders and be competitive in sales. This article develops a mathematical model of direct extrusion, which allows you to calculate the extrusion ratio, extrusion speed and pressing force. The results of modeling the process of extrusion of wire Ø2. 00 mm and rods Ø8. 0 mm made of 52In-48Sn alloy are presented. The temperature of the solder and the tool is simulated in software QForm based on the finite element method. Experimental results of manufacturing Ø2. 0 mm solder wire and Ø8. 0 mm rods are presented. The microstructure of the direct extruded solder is a eutectic of phases γ and β. Energy-dispersive X-ray spectroscopy (EDS) mapping of the 52In-48Sn alloy showed that the solder obtained by direct extrusion has a uniform distribution of structural phases. The developed technology can be used in the manufacture of wires and rods from other low-melting alloys.
Consumer willingness-to-pay for restaurant surcharges to reduce carbon emissions: default and information effects

The agriculture and food sectors contribute significantly to greenhouse gas emissions. About 15 percent of food-related carbon emissions are channeled through restaurants. Using a contingent valuation (CV) method with double-bounded dichotomous choice (DBDC) questions, this article investigates U.S. consumers’ willingness to pay (WTP) for an optional restaurant surcharge in support of carbon emission reduction programs. The mean estimated WTP for a surcharge is 6.05 percent of an average restaurant check, while the median WTP is 3.64 percent. Our results show that individuals have a higher WTP when the surcharge is automatically added to restaurant checks. We also find that an information nudge—a short climate change script—significantly increases WTP. Additionally, our results demonstrate that there is heterogeneity in treatment effects across consumers’ age, environmental awareness, and economic views. Our findings suggest that a surcharge program could transfer a meaningful amount of the agricultural carbon reduction burden to consumers that farmers currently shoulder.
The impact of selenium administration on severe sepsis or septic shock: a meta-analysis of randomized controlled trials

Introduction The efficacy of selenium administration to treat severe sepsis or septic shock remains controversial. We conduct a systematic review and meta-analysis to explore the impact of selenium administration on severe sepsis or septic shock. Methods We search PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through May 2020 for randomized controlled trials (RCTs) assessing the effect of selenium administration on severe sepsis or septic shock. Meta-analysis is performed using the random-effect model. Results Five RCTs involving 1482 patients are included in the meta-analysis. Overall, compared with control group in septic patients, selenium administration is not associated with reduced 28-day mortality (RR=0.93; 95% CI=0.73 to 1.19; P=0.58), but results in substantially decreased all-cause mortality (RR=0.78; 95% CI=0.63 to 0.98; P=0.03) and length of hospital stay (MD=-3.09; 95% CI=-5.68 to -0.50; P=0.02). Conclusion Selenium administration results in notable decrease in all-cause mortality and length of hospital stay, but shows no substantial influence on the 28-day mortality, length of ICU stay, duration of vasopressor therapy, the incidence of acute renal failure, adverse events, and serious adverse events for septic patients.
E-Mail Spam Filtering Through Feature Selection Using Enriched Firefly Optimization Algorithm

Abstract: E-mail is the most common method of communication because due to its ability to obtain, the rapid modification of messages and low cost of distribution. Spam causes traffic issues and bottlenecks that limit the amount of memory and bandwidth, power and computing speed. For data filtering, various approaches exist that automatically detect and suppress these indefensible messages. A methodology based on SineCosine Algorithm (SCA) introduced which address the problem of space and time complexities are increased in E-Mail spam detection. In this method, WordNet optimized semantic ontology applies different methods based on semantics and similarity measures to reduce the large number of extracted textual features. This paper proposed the Enriched Firefly Optimization Algorithm (EFOA) method effectively selecting suitable features from an upper dimensional space using the fitness function. Once the best feature space is identified through EFOA, the spam classification is done using ANN. Intially, E-mail spam dataset is preprocessed, then the extracted textual features are Semanticbased reduction and Features weights updated using optimized semantic WordNet. The results obtained showed that the ANN classifier after selection of features using EFOA was able to classify e-mails as spam and non-spam. This EFOA demonstrates that the proposed method has led to a remarkable improvement compared to the SCA methods.
Kaplan-Meier plotter data analysis model in early prognosis of pancreatic cancer

Intelligent data analysis methods provide helpful tools for cancer researchers to detect the prognosis of patients with specific diseases. Yet, very little information is known about the features of these models used in data analysis methods. In this study, we presented a new Kaplan-Meier plotter model with a better-combination of input features for early prognosis tasks of pancreatic cancer. Our new model integrates gender, race, and follow up the threshold to get better verification of genes of interest as prognostic markers for predicting cancer at early stages. Assessment is made for the developed model to examine the important role of the oncogene RablA in early prediction of pancreatic cancer on the standard clinical datasets from The Human Protein Atlas. Our results showed that overexpression of the oncogene Rab1A in pancreatic cancer plays a vital role in its early prognosis (p<0.05). The proposed model results were also verified using an independent dataset deposited in The Human Protein Atlas. Altogether, the experimental results highlight Rab1A potential role in cancer prognosis.
Named entity recognition method of Chinese EMR based on BERT-BiLSTM-CRF

With the widespread use of Chinese electronic medical records, the extraction of medical named entities and the resolution of the polysemous term of entities are of great significance to the analysis and processing of patient information and disease diagnosis. This paper uses a BERT Chinese pre-training vector that does not rely on manual feature selection, combines BiLSTM and CRF Chinese named entity recognition algorithm model, and applies it to the processing of the CCKS2020 electronic medical record data set. This paper conducts experimental tests and comparisons between the BERT-BiLSTM-CRF model and other models. The results show that the results of this model are better than other models, and it can accurately identify multiple entity categories and has a good application prospect.