Miracle-dz/UniFAR-FTUs huggingface dataset:
Anisotropic shock response of 1,3,5-triamino-2,4,6-trinitrobenzene (TATB)

The thermo-mechanical response of shock-induced pore collapse has been studied using non-reactive all-atom molecular dynamics (MD) and Eulerian continuum simulations for the molecular crystal 1,3,5-triamino-2,4,6-trinitrobenzene (TATB). Three crystal orientations, bracketed by the limiting cases with respect to the crystal structure anisotropy in TATB, are considered in the MD simulations, while an isotropic constitutive model is used for the continuum simulations. Simulations with three impact speeds from 0.5 km s[superscript -1] to 2.0 km s[superscript -1] are investigated. Results from MD and continuum simulations are in agreement in terms of shock wave speeds, temperature distributions, and pore-collapse mechanisms. However, differences arise for other quantities that are also important in hotspot ignition and growth, for example, the skewness of high-temperature distributions and the local temperature field around the post-collapse hotspot, indicating the urgent need to incorporate anisotropic crystal plasticity and strength models into the continuum descriptions. The deformation mechanisms of TATB crystals in the shock-induced pore collapse MD simulations were studied using Strain Functional Analysis. This new approach maps discrete quantities from atomistic simulations onto continuous fields via a Gaussian kernel, from which a unique and complete set of rotationally invariant Strain Functional Descriptors (SFD) is obtained from the high-order central moments of local configurations, expressed in a Solid Harmonics polynomial basis by SO(3) decomposition. Coupled with unsupervised machine learning techniques, the SFD successfully identifies and distinguishes the deformations presented in the MD simulations of shock-compressed TATB crystals. It enables automated detection of disordered structures in the system and can be readily applied to materials with any symmetry class.
SAR – OPTICAL REMOTE SENSING BASED FOREST COVER AND GREENNESS ESTI-MATION OVER INDIA

Abstract. Indian natural forest has a high ecological significance as it holds much biodiversity and is primarily affected due to deforestation. The present study exhibits the forest cover change on Global Forest Non-Forest (FNF) data for India and greenness trend using MOD15A2H LAI product, which is the best product available till date. JAXA uses of SAR datasets for forest classification based on FAO definitions. Later, Forest Survey of India (FSI) used different definitions for forest classification from FAO and was to compare with JAXA based forest cover. The global FNF study exhibited that total forest cover was reduced from 568249 Km2 to 534958 Km2 during 2007–17 in India. The significant loss of forest cover (33291.59 Km2; by −5.85% change) was primarily evident in Eastern Himalayas followed by Western Himalayas. Whereas forest cover increase was observed in Eastern and the Western Ghats from 2007 to 2017. The state of forest report by FSI states an increase in the forest cover from 690889 Km2 to 708273 Km2 during 2007–17 by 2.51%. The difference in forest cover as estimated by JAXA global FNF datasets and FSI report is attributed to differences in forest cover mapping definitions by both the agencies and use of varied datasets (SAR datasets by JAXA and optical datasets by FSI). It is to note that SAR is highly sensitive to forest cover and vegetation’s as compare to optical datasets. Recent satellite-based (2000–2018) LAI product reveals the increase in leaf area of vegetation during 2000–18. It may be attributed to proper human land use management and implications of green revolutions in the region. The greening in India is most evident from the croplands with insignificant contribution from forest cover.
GREEN SOLVENTLESS SYNTHESIS OF RUTHENIUM(0) NANOPARTICLES

A different method of synthesis of zero-valent ruthenium nanoparticles is informed throughout the present investigation: a mechanochemical approach. This technique allowed the production of high amount of zero-valent ruthenium in less time, without the employ of large quantities of solvent, and it made possible to obtain the mentioned nanoparticles free of by-products. To optimize the proposed technique, the effect of amount of reducing salt on a determined quantity of precursor over the average particles size was investigated. The freshly synthesized nanoparticles were characterized via UV-visible, absorption electron spectroscopy, powder X-ray diffraction (powder XRD), high-resolution transmission electron spectroscopy (HR-TEM) and X-ray photoelectron spectroscopy (XPS).
Environmental Sustainability Scale for Children 60-72 Months Old: A Validity and Reliability Study

In recent years, the importance of sustainability has been realized with ever-increasing environmental issues. The preschool period is the most appropriate time for developing an awareness of sustainability as children acquire basic habits during this period and maintain these habits throughout their lives. This study was aimed at developing a scale to evaluate environmental sustainability behaviors in children aged 60-72 months. The validity and reliability study of the scale was limited to 60-72-month-old preschool children, the 2017-2018 academic year and Istanbul (Kadikoy and Besiktas districts), Kutahya and Yalova provinces. The total number of participants was 426. The 41 scale items developed by the researchers were submitted to six field specialists for review, and the scale was finalized in accordance with the Lawshe method prior to commencing validity and reliability studies. The study data were gathered with the Environmental Sustainability Scale for Children aged 60-72 Months that comprised 2 factors and 20 items. The factor structure of the scale was determined after a theoretical literature review and peer-debriefing. First and second order confirmatory factor analyses were performed for the construct finalized after peer-debriefing. In the reliability study, internal consistency was examined, and the Cronbach’s alpha was computed as . 92. In conclusion, the study results indicated that the scale was a valid and reliable evaluation instrument.
MODELLING AND OPTIMISATION OF OIL EXTRACTION FROM LOOFAH (Luffa cylindrica) SEEDS USING BINARY SOLVENT MIXTURE

Toxicity and safety concern coupled with the recent increase in its price has necessitated the need for finding alternative solvents to n-hexane. In this study, the effect of binary solvent (ethanol/n-hexane) composition at various extraction temperatures and times on the oil yield was investigated using response surface methodology (RSM). Artificial neural network (ANN) was used as a modelling tool for predicting the oil yield and the performance of both ANN and RSM models was compared. The optimum oil yield (27.67%) was obtained at extraction temperature (40 °C), extraction time (151.9 min) and binary solvent composition (98% ethanol /2% n-hexane). The predicted oil yield values from ANN model was more accurate than that of RSM when compared with experimental values. The fatty acid profile revealed that the refining process promoted saturation of the extracted oil with 67.75% of palmitic acid present in refined loofah seed oil (RLSO). This study demonstrated the feasibility of using a binary mixture of ethanol and n-hexane as a suitable replacement to the commonly used toxic n-hexane solvent for the extraction of oil from loofah seeds.
Exploring the challenges of professional identity formation in clinical education environment: A qualitative study

Introduction: This study aimed to explore the challenges of professional identity formation at clinical education environments from the faculty members’ viewpoints. Methods: This is a qualitative study. The population consisted of clinical faculty members of Tehran University of Medical Sciences. In this study, 39 faculty members participated in an in-depth semi-structured interview. To analyze the data, conventional content analysis approach was used. Open coding was extracted from the participants’ statements that represented their experiences. Then, based on their similarities, the codes were classified. Subcategories were emerged and after arranging, they were classified into categories based on their relationships Results: Instability of professional commitment, patient-centeredness as the missing loop care and treatment, and inappropriate conductive context were explored as the challenges of professional identity in clinical educational environment. Conclusion: According to the results of the study, the formation of professional identity among the providers is not an easy task because many factors affect the formation of professional identity. Therefore, a comprehensive shift towards forming the professional identity at individual and organizational level should be planned.
Effects of non-ideal webs on roll winding

In typical winding processes, webs are rarely (if ever) ideal but instead thickness nonuniformity and distortions (two examples) are the norm. These deviations from ideal have significant ramifications to both predictive model development and to winding equipment design configurations. This paper will present methods for quantitative measurement of some of the important non-ideal web characteristics. Typical results will be presented for film and paper webs. Also presented will be examples of modeling enhancements needed to generate predictions of the winding behavior in systems comprised of non-ideal webs. Finally, examples will be given of hardware modifications that are driven, to a large extent, by the reality that webs are not perfect. The objective of this paper will be to enlighten the winding process development community regarding a very challenging and relevant area for future research.
Entrepreneurial marketing effects on sport club manager performance (Conceptual Model)

Since sport entrepreneurship has recently been proved critical to the sport industry success, herein, we tested conceptual model of entrepreneurial marketing for sport club managers in Tehran, Iran. In order to assess entrepreneurial marketing, club nature, performance scale, market orientation, and entrepreneurship orientation, standardized methods of measurements were applied. The face and content validity of the research tools were confirmed by experts of sport marketing while the construct validity was affirmed by Confirmatory Factor Analysis (CFA). Structural Equation Modelling (SME) was estimated using partial least squares method in Smart PLS software. Our results demonstrated that except for entrepreneurship orientation, there was a positive and significant relationship between all variables and organizational performance. Moreover, a positive and significant relationship was also detected between all variables, except for market orientation, and entrepreneurial marketing. According to the goodness of fit, the model fitness was good (0.621).
Characterization and Anticancer Potential of Silver Nanoparticles Biosynthesized from Olea chrysophylla and Lavandula dentata Leaf Extracts on HCT116 Colon Cancer Cells

Cancer was ranked as the second leading cause of death, and colon cancer has been reported as the third most frequent cancer worldwide. Chemotherapeutic drugs act on normal and cancerous cells similarly; therefore, they have various adverse side effects. Nanoparticles were identified to have a controlled effect on different cancer cell lines. The present study is aimed at studying biosynthesis silver nanoparticles by using aqueous Olea chrysophylla and Lavandula dentata leaf extracts, separately, and evaluating their anticancer potential. Silver nanoparticles were characterized by using SEM, XRD, FTIR, zeta potential, and size distribution mean, and their antiproliferative and apoptotic potentials were evaluated on HCT116 cells. Results show the formation of silver nanoparticles Olea-AgNPs and Lav-AgNPs due to the change of color to dark brown, and characterization revealed their crystalline shape with a mean size of 284.5 nm for Lav-AgNPs and 328.6 nm for Olea-AgNPs. Lav-AgNPs shows more stability than Olea-AgNPs due to its higher negative zeta potential (-14.3 mV) than nanoparticles biosynthesized from Olea leaves (-0.877 mV). Conversely, Lav-AgNPs shows more effective antiproliferative potential on HCT116 with (IC50 = 59.79 μg/ml) than Olea-AgNPs (IC50 = 99.35 μg/ml). However, Olea-AgNPs significantly increased the late stage of apoptotic and necrotic cells in comparison to Lav-AgNPs-treated cells in flow cytometry assay. Silver nanoparticles biosynthesized from Olea and lavender show anticancer potential with a more effective potential reported compared to Lav-AgNPs.
Recognition of inlet wet food in drying process through a deep learning approach

Smart drying is one of the newest and most promising techniques. It is a multi- and inter-disciplinary sector which has potential to guarantee high value end-products by implementing innovative and reliable sensors, resources, tools and practices. Its recent developments embrace various R&D areas, such as computer vision (CV) and deep learning, which deal with allowing computers to understand digital images and videos better than humans. Conventional machine-learning techniques suffer several limitations, mainly due to their inability to process raw data. In fact, in the last few decades, machine learning required considerable domain expertise to mine raw data and extract features from which an algorithm could identify patterns in the input. Deep learning is a novel subfield of machine learning, which embraces methods that allow to discover patterns for detection or classification purposes by using raw data. Consequently, CV in combination with deep learning has the potential to be a powerful Process Analytical Technology tool useful for enhancing the understanding and control of critical process parameters that impact on quality of the final product. Deep learning was tested for its feasibility as CV tool for the analysis of inlet wet food to drying process. In details, convolutional neural networks (CNNs) were successfully applied for addressing the following tasks: (i) the semantic image segmentation of the inlet product (i.e., recognition between background and product pixels); (ii) the inlet product classification through its segmented image; (iii) the automated selection of optimal settings of drying process parameters. Results obtained not only represent a step forward in the development of smart dryers able to recognise the inlet wet product, and to set the proper process parameters on its own or as decision support system, but also lay the foundation for further researches on using a computer vision system as PAT tool for smart drying processes.
OTT_A_233234 10931..10941

1Department of Hematology, Qilu Hospital, Shandong University, Jinan 250012, People’s Republic of China; 2Department of Pain, Qilu Hospital, Shandong University, Jinan 250012, People’s Republic of China; 3Department of Hematology, Qilu Hospital, Shandong University (Qingdao), Qingdao 266000, People’s Republic of China; 4Department of Orthopedics, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, People’s Republic of China; 5Department of Oral and Maxillofacial Surgery, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250012, People’s Republic of China; 6Department of Hematology, Tengzhou Central People’s Hospital, Tengzhou 277599, People’s Republic of China; 7Shandong Provincial Key Laboratory of Immunohematology, Qilu Hospital, Shandong University, Jinan 250012, People’s Republic of China Introduction: Progression and chemoresistance of acute myeloid leukemia (AML) contribute to most of the treatment failure. Notch pathway has been proven to be involved in many biological processes and diseases, especially AML. In this study, we aimed to explore genes correlated with Notch1 pathway in AML and determine their roles in the regulation of AML progression and chemoresistance. Methods: TCGA database was used to explore Notch1 associated genes. Kaplan–Meier survival analysis was performed to evaluate the prognostic significance of genes. Quantitative RT-PCR (qRT-PCR) and Western blot were performed to examine the expression of genes. The expression of PRKD2 was up-regulated or knocked down in AML cell lines by lentivirus or siRNAs. CCK-8 and flow cytometry were used to analyze the effect of PRKD2 on cell proliferation and chemoresistance. Results: Based on TCGA database, PRKD2 was found to be positively correlated with Notch1 expression, cytogenetic risk status and poorer prognosis in AML.Moreover, the expression level of PRKD2 was higher in AML chemo-resistant cells than in chemo-sensitive cells. Functionally, knockdown of PRKD2-induced apoptosis and increased chemosensitivity of AML cells. PRKD2 overexpression promoted proliferation and chemoresistance of AML cells. Furthermore, we found PRKD2 could regulate Notch1 pathway. Besides, high PRKD2 expression was correlated with higher risk group of AML patients which indicated that PRKD2 was an independent prognostic marker for AML. Conclusion: Taken together, our results showed that PRKD2 could promote the proliferation and chemoresistance of AML cells by regulating Notch1 pathway. The study broadened our insights into the underlying mechanisms in chemoresistance and proliferation of AML, and provided a new prognostic marker and treatment target for AML.
CIA_A_225149 2249..2259

1Department of Cardiology, Beijing Hospital, National Center of Gerontology, Beijing, People’s Republic of China; 2Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, People’s Republic of China; 3Department of Orthopedics, 4Department of Pulmonary and Critical Care Medicine, 5Department of Neurology, 6Department of General Surgery, 7Department of Urology, 8Department of Geriatrics, 9Department of Rehabilitation, 10Department of Traditional Chinese Medicine, 11Department of Cardiac Surgery, Beijing Hospital, National Center of Gerontology, Beijing, People’s Republic of China Objectives: To survey the difference of frailty prevalence in elderly inpatients amongdifferent wards; to compare the diagnostic performance of five frailty measurements (Clinical
New objective method for quantitative assessment of cut edge quality for paper and board

by E.G. Welp, E. Wolf, J. Heindl Ruhr-University Bochum GERMANY In the paper converting and finishing industry the cut edge quality is of particular importance to the manufacturing processes, e.g. the printing process. In this paper an objective method for the quantitative evaluation of the cut quality of thin, plane materials is presented. In a first part of this paper existing procedures for the evaluation of the cut quality are analyzed. Afterwards the own method, consisting of two essential elements, is presented. The first element is the measurement data logging by use of a CCD line camera and the second one, is the measuring data evaluation with a self-developed software. The capabilities of the developed method are demonstrated on evaluating cutting edges of four thin, plane materials. The results show, that the procedure is suitable to differentiate cut results sufficiently and to transfer them into quantified quality grades in reproducible manner.
Role of interleukin-18 and plasma B-type natriuretic peptide in predicting requirement of kidney replacement therapy and/or mortality in individuals with acute heart disorders

Introduction: Although many predictive tools have already been developed, efforts are still proceeding to identify a reliable biomarker to predict the prognosis of the patients with acute heart disorders. Objectives: The aim was to evaluate the role of renal injury biomarkers (serum cystatin C, serum and urine interleukin-18, IL-18) and heart failure biomarkers (plasma B-type natriuretic peptide, BNP) in the prediction of the postdischarge requirement of renal replacement therapy (RRT) and/or 6-month mortality in patients with acute heart disorders. Patients and Methods: In patients diagnosed with acute heart disorders (acute heart failure [AHF] and/or acute coronary syndrome [ACS]) and admitted to the intensive care units, baseline clinical parameters, renal and cardiac biomarkers were determined. Patients were followed up for 6 months. The composite outcome was the postdischarge requirement of RRT and/or 6-month mortality. Results: Of 120 patients, 5.8% continued RRT after discharge. The 6-month mortality was 20%. Cox logistic regression analysis showed that urine IL-18 (P=0.021), plasma BNP (P=0.046), Acute Physiology and Chronic Health Evaluation (APACHE) II score (P=0.002), and left ventricular diastolic dysfunction (P=0.045) were independent predictors of the postdischarge requirement of RRT and/or 6-month mortality. For predicting RRT and/or 6-month mortality, using urine IL-18 cutoff value of 29.1 pg/mL showed 66.7% sensitivity and 67.7% specificity (area under the curve, AUC 0.70, P=0.003), while using plasma BNP cutoff value of 881.6 pg/mL showed 66.7% sensitivity and 70.8% specificity (AUC 0.76, P<0.001). Conclusion: Urine IL-18 and plasma BNP are independently predictive for the postdischarge requirement of RRT and/or 6-month mortality in patients with acute heart disorders.
A study of small and intermediate conductance calcium-activated potassium channels in sensory neurones.

The role of small and intermediate conductance calcium-activated potassium channels (SK and IK channels) in dorsal root ganglion (DRG) neurones was examined. Sixteen antibodies raised against human or rat SK/IK channel peptide epitopes were tested for their ability to stain cells expressing channel protein. Of sixteen antibodies, 12 (6 to SKI, 1 to SK2, 2 to SK3 and 3 to IK) were deemed suitable for immunohistochemistry in human or rat tissue. Real-time quantitative PCR (qPCR) of rat DRG cDNA was performed to examine SK/IK expression levels. DRG neurones produce mRNA for all SK/IK channels and these mRNA levels were found to increase during development. Antibody staining experiments using DRG neurones cultured from different aged animals produced a positive stain with the anti-SK3 antibody only. The number of cells that stained positively and the intensity of staining for SK3 increased with age. To investigate possible functional roles for SK/IK channels sensory neurones, action potential afterhyperpolarisations (AHPs) were recorded from cultured DRG and nodose cells. The majority of these AHPs proved to be insensitive to the SK channel blocker UCL 1848. Attempts to block medium duration AHPs in DRG cells using IK and calcium channel blockers, also failed in most cases, suggesting that some other potassium conductances) are responsible. The possibility that SK3 is functional at the terminals of primary afferents was examined next. Spinal cord slices stained with SK/EK channel antibodies revealed positive SK3 staining in the outer laminae of the dorsal horn, where small and large diameter DRG fibres are expected to terminate. In vivo experiments (done by Dr Rie Suzuki, Department of Pharmacology, UCL) using UCL 1848 and l-ethyl-2- benzimidazolinone (1-EBIO an SK channel opener) showed that SK channels are likely to be active at these terminals where they have a functional role in mediating innocuous mechanical and nociceptive responses.