Miracle-dz/UniFAR-FTUs huggingface dataset:
The Behaviour and Effects of Laminar Separation Bubbles on Aerofoils in Incompressible Flow

Summary A survey of information on laminar separation bubbles and their effect on the stalling characteristics of aerofoils is presented. It is shown that there are two principal kinds of bubbles and that their existence can be predicted. It is believed that their behaviour may be related to the kind of boundary layer transition process present. It is intended that a second part of this paper will describe the characteristics of aerofoils at Reynolds numbers typical of model aircraft and show how the observed phenomena are related to the behaviour of laminar separation bubbles.
Spot mode excitation for multimode fiber

Data centers are referred to as the brain of the Internet.In data centers, multimode fiber is typically used to ensure scalability and reliability. Due to the continuous growth of Internet users which demands increasing data capacity, mode division multiplexing (MDM) presents itself as a potential candidate for providing an additional degree of multiplexing freedom through the propagation of distinct channels on different fiber modes.This paper investigates the effects of launching a spot mode with different vortex orders using a vertical-cavity surface-emitting laser (VCSEL) array and a vortex lens.A transmission of 12Gbit/s over distance of 1km is achieved at a wavelength of 1550.12nm
Between autonomy and embeddedness: project interfaces and institutional change in environmental governance

ABSTRACT Our analysis addresses innovation processes that shape public policy and the engagement of state and non-state actors in environmental management. Public sector organizations increasingly invest resources in collaborative temporary endeavors – i.e. projects – to explore new ideas and exploit the results. We analyze the environmental project portfolio of the European Commission LIFE program in Estonia for the period 2008-2018 from the viewpoint of interfaces between project teams and permanent organizations. Our analysis of project design, administration, and practices reveals that project interfaces structure opportunities for achieving technical and institutional change through temporary organizations. Adaptive strategies of actors inside projects and in the established organizational fields producse shifts in interfaces across the project life cycle. These shifts enable and constrain knowledge production and application.
Chip Design of an All-Digital Frequency Synthesizer with Reference Spur Reduction Technique for Radar Sensing

5.2-GHz all-digital frequency synthesizer implemented proposed reference spur reducing with the tsmc 0.18 µm CMOS technology is proposed. It can be used for radar equipped applications and radar-communication control. It provides one ration frequency ranged from 4.68 GHz to 5.36 GHz for the local oscillator in RF frontend circuits. Adopting a phase detector that only delivers phase error raw data when phase error is investigated and reduces the updating frequency for DCO handling code achieves a decreased reference spur. Since an all-digital phase-locked loop is designed, the prototype not only optimized the chip dimensions, but also precludes the influence of process shrinks and has the advantage of noise immunity. The elements of novelties of this article are low phase noise and low power consumption. With 1.8 V supply voltage and locking at 5.22 GHz, measured results find that the output signal power is −8.03 dBm, the phase noise is −110.74 dBc/Hz at 1 MHz offset frequency and the power dissipation is 16.2 mW, while the die dimensions are 0.901 × 0.935 mm2.
Pattern Reconfigurable Back-to-Back Microstrip Patch Antenna

A back-to-back microstrip patch antenna with a switchable pattern is proposed for WLAN applications. The patch elements, printed on FR-4 substrates with a common ground plane, are switched with a single-pole double-throw PIN diode circuit. Switching the feed selects either of two identical radiation patterns in the opposing hemispheres for spatial diversity that would benefit a distributed network.
Methanolic extract of Crotalaria longirostrata: Identification of secondary metabolites and insecticidal effect

The complications caused by the generation of resistance in the psyllid Bactericera cockerelli by chemical pesticides, raise the need for the alternative use of products that reduce resistance and ensure better control. The species Crotalaria longirostrata is a source of secondary metabolites, which show possible activity against insect pests. The objective of the research was to identify the compounds of the crude methanolic extract of C. longirostrata leaves, as well as to evaluate their biological activity on B. cockerelli nymphs. Twenty-five compounds were identified by Gas Chromatography coupled to Mass Spectrometry (GC-MS) analysis; the most abundant was 1β,2β-epoxy-1α-methoxymethyl-8α-pyrrolizidine; an alkaloid of the iminosugar group, reported for the first time in C. longirostrata, of which concentrations from 2 to 30 mg/mL of the methanolic extract had to be prepared to evaluate on B. cockerelli nymphs. It showed that at 48 h, there was a mortality of 73.2%-100% in the treatments of 8, 12, 16, 20, and 30 mg/mL. The mean lethal concentration (LC50) was 4.78 mg/mL and LC95 14,52 mg/mL. The results obtained with the methanolic extract of C. longirostrata leaves for controlling the insect B. cockerelli suggest that it can potentially be used as an alternative insecticide of botanical origin to manage the insect.
Acceptor traps as the source of holes in p-type N-polar GaN/(AlN/AlGaN) superlattices

This study experimentally shows the existence of acceptor traps at positive polarization interfaces (PPIs) acting as the source of holes in N-polar p-type modulation doped GaN/(AlN/AlGaN) superlattices (SLs) with low Mg doping. The observation of measured hole concentration higher than the dopants (here, Mg) put in the samples during growth can be explained by the ionization of acceptor traps, which are placed 0.8 eV above the valence band of GaN at the PPI. All samples were epitaxially grown using metal organic chemical vapor deposition and were characterized using x-ray diffraction and room-temperature Hall measurements. The measured hole concentrations are compared against calculated values from STR FETIS®, and the measured mobility trends are explained using the separation of the positive polarization interfaces from the two-dimensional hole gas in the systems, strengthening the hypothesis. A second study is also presented where acceptor traps were ionized in a p-type modulation doped GaN/AlGaN SL without an AlN layer—by keeping the superlattice period thickness constant and increasing the AlGaN composition. Following the hypothesis of the existence of an acceptor trap, these experimental studies demonstrate the charge-balance in systems that show p-type behavior without sufficient doping.
Multidrug-resistant and enterotoxigenic methicillin-resistant Staphylococcus aureus isolated from raw milk of cows at small-scale production units

Objective: Staphylococcus aureus (S. aureus) has evolved as one of the most significant bacteria causing food poisoning outbreaks worldwide. This study was carried out to investigate the prevalence, antibiotic sensitivity, virulence, and enterotoxin production of S. aureus in raw milk of cow from small-scale production units and house-raised animals in Damietta governorate, Egypt. Material and Methods: The samples were examined bacteriologically, and antimicrobial sensitivity testing was carried out. Moreover, isolates were characterized by the molecular detection of antimicrobial resistance, virulence, and enterotoxin genes. Results: Out of 300 milk samples examined, S. aureus was isolated from 50 samples (16.7%). Antibiotic sensitivity testing revealed that isolates were resistant to β-lactams (32%), tetracycline (16%), and norfloxacin (16%); however, they showed considerable sensitivity to ceftaroline and amikacin (72%). Multidrug-resistance (MDR) has been observed in eight isolates (16%), with a MDR index (0.5) in all of them. Of the total S. aureus isolates obtained, methicillin-resistant S. aureus (MRSA) has been confirmed molecularly in 16/50 (32%) and was found to carry mecA and coa genes, while virulence genes; hlg (11/16, 68.75%) and tsst (6/16, 37.5%) were amplified at a lower percentage, and they showed a significant moderate negative correlation (r = −0.59, p-value > 0.05). Antibiotic resistance genes have been detected in resistant isolates relevant to their phenotypic resistance: blaZ (100%), tetK (50%), and norA (50%). Fifty percent of MRSA isolates carried the seb enterotoxin gene. Conclusion: High detection rate of MRSA and MDR isolates from milk necessitates the prompt implementation of efficient antimicrobial stewardship guidelines, especially at neglected small-scale production units.
Comparative Assessment of Data Mining Techniques for Flash Flood Prediction

Abstract Data mining techniques have recently drawn considerable attention from the research community for their ability to predict flash flood phenomena. These techniques can bring large-scale flood data into real practice and have become the necessary tools for impact assessment, societal resilience, and disaster control. Although numerous studies have been conducted on data mining techniques and flash flood predictions, domain-specific flash flood prediction models based on existing data mining techniques are still lacking. Notably, this study has focused on the performance of four data mining techniques, namely, logistic regression (LR), artificial neural networks (ANN), k-nearest neighbour (kNN), and support vector machine (SVM) in a comparative assessment as prediction models. The area under the curve (AUC) was utilised to validate these models. The value of AUC was higher than 0.9 for all models. Accordingly, the outcomes outlined in this study can contribute to Halim et al. the current literature by boosting the performance of data mining techniques for predicting flash floods through a comparison of the most recent data mining techniques. Keywords: Artificial neural networks (ANN), Flash flood, k-nearest neighbor (kNN), Logistic regression (LR), Support vector machine (SVM)
Role of Biomarkers for the Diagnosis of Prion Diseases: A Narrative Review

Prion diseases are progressive and irreversible neurodegenerative disorders with a low incidence (1.5–2 cases per million per year). Genetic (10–15%), acquired (anecdotal) and sporadic (85%) forms of the disease have been described. The clinical spectrum of prion diseases is very varied, although the most common symptoms are rapidly progressive dementia, cerebellar ataxia and myoclonus. Mean life expectancy from the onset of symptoms is 6 months. There are currently diagnostic criteria based on clinical phenotype, as well as neuroimaging biomarkers (magnetic resonance imaging), neurophysiological tests (electroencephalogram and polysomnogram), and cerebrospinal fluid biomarkers (14-3-3 protein and real-time quaking-induced conversion (RT-QuIC)). The sensitivity and specificity of some of these tests (electroencephalogram and 14-3-3 protein) is under debate and the applicability of other tests, such as RT-QuIC, is not universal. However, the usefulness of these biomarkers beyond the most frequent prion disease, sporadic Creutzfeldt–Jakob disease, remains unclear. Therefore, research is being carried out on new, more efficient cerebrospinal fluid biomarkers (total tau, ratio total tau/phosphorylated tau and neurofilament light chain) and potential blood biomarkers (neurofilament light chain, among others) to try to universalize access to early diagnosis in the case of prion diseases.
Bridging the Understanding of Sustainability Accounting and Organizational Change

The role of sustainability accounting in promoting organizational change toward more sustainable practices is a relevant area of research for both accounting and organization studies. Despite the interdisciplinary nature of this topic, while accounting research was imagining and exploring the transformative potential of social and environmental accounting practices since the inception of this activity, scholars in organization studies have recently developed a more general interest in this matter. This article aims to review how the association between sustainability accounting and reporting and sustainable organizational change has been examined in both disciplines to elaborate on some potential bridges to foster the creation of an interdisciplinary research field around this association, where a fertile conversation could develop. The mapping of this literature prompts us to propose five bridges around: how accounting and reporting are conceived; the direction of causality between sustainability accounting and organizational change; the assemblage of explanatory factors; theoretical foundations; and research methods.
Comparison and analysis of supervised machine learning algorithms

When investigating a network for signs of infiltration, intrusion detection is used. An intrusion detection system is designed to prevent unwanted access to the system. Data mining techniques have been employed by a number of researchers to detect infiltrations in this field. Based on distance measurements, this study proposes algorithms for supervised machine learning. In terms of detection rate, accuracy, false alarm rate, and Matthews correlation coefficient, supervised machine learning techniques surpass other algorithms. When it comes to serial execution time, the supervised machine learning algorithms surpassed all other Actions in terms of serial execution performance.
Industrially Relevant Enzyme Cascades for Drug Synthesis and Their Ecological Assessment

Environmentally friendly and sustainable processes for the production of active pharmaceutical ingredients (APIs) gain increasing attention. Biocatalytic synthesis routes with enzyme cascades support many stated green production principles, for example, the reduced need for solvents or the biodegradability of enzymes. Multi-enzyme reactions have even more advantages such as the shift of the equilibrium towards the product side, no intermediate isolation, and the synthesis of complex molecules in one reaction pot. Despite the intriguing benefits, only a few enzyme cascades have been applied in the pharmaceutical industry so far. However, several new enzyme cascades are currently being developed in research that could be of great importance to the pharmaceutical industry. Here, we present multi-enzymatic reactions for API synthesis that are close to an industrial application. Their performances are comparable or exceed their chemical counterparts. A few enzyme cascades that are still in development are also introduced in this review. Economic and ecological considerations are made for some example cascades to assess their environmental friendliness and applicability.
Prevalence and associated factors of Smokeless Tobacco (SLT) use among adolescents in Indonesia: GYTS 2019 data analysis

Background: Smokeless tobacco (SLT) use is a new trend since the banning of smoking in many public places, including among adolescents. Many people believe that SLT is a harmful reduction method compared to cigarettes. However, there are many risks of using the SLT, such as Head and neck cancer (HNC), cancer of the mouth, and coronary heart disease. Objective: This study aimed to examine the prevalence and the factors associated with SLT use among adolescents in Indonesia. Methods: This study used the cross-sectional data from the Global Youth Tobacco Survey (GYTS) Indonesia 2019. The national school was selected by proportional random sampling. Around 8,828 students were eligible for this study. Results: This study found the prevalence of SLT use was 3.25%. The bivariate test found each independent variable was significantly associated with the SLT use. However, the adjusted test found that age, smoking parent, smoking teacher, knowledge, and attitude were significantly associated with SLT use. Conclusion: The variables mostly related to SLT use come from the family and school environment. The appropriate intervention needs to be arranged to reduce the prevalence of smokers, including SLT use.
Comparing miR-16 and miR-1228 as an optimal endogenous control for quantification of circulating microRNAs in colorectal cancer patients

Objectives: Circulating microRNAs (miRNAs) have been discovered to play a novel role in intercellular communication and cancer biology. They are emerging candidates for noninvasive molecular biomarkers of cancer and other diseases. However, current translational researches have been limited by the lack of consensus on the optimal endogenous control of circulating miRNAs quantitation. In this study, we compared two promising miRNAs, miR-1228 and miR-16, as an endogenous control. The effects of normalizers on the relative quantification of circulating miR-31 in plasma samples of colorectal cancer (CRC) were also assessed. Materials and Methods: The cel-miR-39 was a spiked-in RNA used as an external control and added to plasma samples before RNA extraction. Quantitative real-time polymerase chain reaction technology was used to analyze the expression levels of circulating miRNAs in plasma samples of 4 healthy controls and 14 CRC patients. The expression stability of the candidate controls was compared by Ct analysis and NormFinder algorithms. Results: There was no significant difference in expression level of miR-16 and miR-1228 between healthy control group and before or after therapy of CRC patient groups. The expression of miR-1228 has smaller the range Ct values (28.25-25.64) compared with those of miR-16 (24.91-20.34). The stability value of miR-1228 (0.102) is lower than that of miR-16 (0.350). The expression of miR-1228 endogenous reference candidate has lower stability value and smaller the range Ct values compared with those in miR-16. According to the range Ct values and stability value, miR-1228 is better than miR-16 as endogenous control in CRC patients. There are significant differences in circulating miR-31 expression between healthy control and CRC patients when miR-1228 was used to standardize miR-31 expression. Conclusions: miR-1228 is recommended as a better endogenous control in quantification of circulating miRNAs in CRC patients.
Integration of Adverse Outcome Pathways, Causal Networks and ‘Omics to Support Chemical Hazard Assessment

Several approaches have been used in an attempt to simplify and codify the events that lead to adverse effects of chemicals including systems biology, ‘omics, in vitro assays and frameworks such as the Adverse Outcome Pathway (AOP). However, these approaches are generally not integrated despite their complementary nature. Here we propose to integrate toxicogenomics data, systems biology information and AOPs using causal biological networks to define Key Events in AOPs. We demonstrate this by developing a causal subnetwork of 28 nodes that represents the Key Event of regenerative proliferation – a critical event in AOPs for liver cancer. We then assessed the effects of three chemicals known to cause liver injury and cell proliferation (carbon tetrachloride, aflatoxin B1, thioacetamide) and two with no known cell proliferation effects (diazepam, simvastatin) on the subnetwork using rat liver gene expression data from the toxicogenomic database Open TG-GATEs. Cyclin D1 (Ccnd1), a gene both causally linked to and sufficient to infer regenerative proliferation activity, was overexpressed after exposures to carbon tetrachloride, aflatoxin B1 and thioacetamide, but not in exposures to diazepam and simvastatin. These results were consistent with known effects on rat livers and liver pathology of exposed rats. Using these approaches, we demonstrate that transcriptomics, AOPs and systems biology can be applied to examine the presence and progression of AOPs in order to better understand the hazards of chemical exposure.
The Possibility of Using RFID System to Automate and Integrate the Attendance of Professors and Students in the Classroom

One of the most important goals followed in most systems is to increase efficiency, reduce errors and enhance ease of data entry tasks such as better services in organizations. Therefore, the use of intelligent tools is of the most important requirements for a management system in order to collect complete and accurate data and create complete information. In management, use of new technologies is recommended to have smart systems and reduce human errors. This study aimed to investigate “professors and students attendance system using RFID” and research population consists of professors and students. Findings show that, as attendance checking system in universities and schools is done through the class list and checking attendance of students needs to spend time and energy so it leads to a waste of valuable time and energy of professors to teach. Therefore, it is essential to use efficient and modern systems, because with the design and implementation of RFID attendance system and replacing the traditional system, time and energy waste could be avoided and attendance system could be promoted to an intelligent and integrated one. The designed system includes a number of hours of presence and absence, delays and rush to pay the salaries of professors at the University with its automatic identification through radio frequency. This system aims to create changes in this area and it is economic in whole.
Introduction to Organic Electronic and Optoelectronic Materials and Devices (Optical Science and Engineering Series)

Reflecting the rapid growth in research and development on organic/polymeric electronic and photonic materials and devices over the last few decades, Introduction to Organic Electronic and Optoelectronic Materials and Devices provides comprehensive coverage of the state-of-the-art in an accessible format. It presents the most widely recognized fundamentals, principles, and mechanisms along with representative examples, key experimental data, and over 200 illustrative figures. This textbook includes exercise questions for each chapter, an accompanying CD-ROM with a self-study one-semester lecture in MS PowerPoint, and a solutions manual for qualifying course adoptions.
Impact of Stress Hyperglycemia on No-Reflow Phenomenon in Patients with ST Elevation Myocardial Infarction Undergoing Primary Percutaneous Coronary Intervention

Background: Stress hyperglycemia is a common finding during acute myocardial infarction and associated with poor prognosis. To reduce the occurrence of no-reflow, prognostic factors must be identified before primary percutaneous coronary intervention (PPCI). Our objective was to investigate the impact of stress hyperglycemia in non-diabetic and diabetic patients on no-reflow phenomenon after PPCI. Methods: The study comprised 480 patients with ST elevation myocardial infarction (STEMI) who were managed by PPCI. Patients were classified into two groups according to thrombolysis in myocardial infarction (TIMI) flow grade: Group I (Patients with normal flow, TIMI 3 flow) and Group II (Patients with no-reflow, TIMI 0-2 flow). Patients were analyzed for clinical outcomes including mortality and major adverse cardiac events. Results: Incidence of stress hyperglycemia was 14.8% in non-diabetic patients and 22.2% in diabetic patients; the incidence of no-reflow phenomenon was 13.5% and no-reflow was significantly higher in patients with stress hyperglycemia. Multivariate regression analysis identified the independent predictors of no-reflow phenomenon: stress hyperglycemia OR 3.247 (CI95% 1.656–6.368, P = 0.001), Killip class >1 OR 1.893 (CI95% 1.004–3.570, P = 0.049) and cardiogenic shock OR 3.778 (CI95% 1.458–9.790, P = 0.006). Conclusion: Stress hyperglycemia was associated with higher incidence of no-reflow phenomenon. The independent predictors of no-reflow were stress hyperglycemia, Killip class >1 and cardiogenic shock.