Miracle-dz/UniFAR-FTUs huggingface dataset:
Further from the Truth: The Impact of In-Person, Online, and Mturk on Dishonest Behavior

Recent policies require some interactions previously conducted in close social proximity (e.g., school, workplace) to take place remotely, which motivates our investigation of how in-person versus online environments impact honesty. We modify a well-known coin-flip task and examine the influence of going from the physical laboratory environment, to online with identifiable participants (same lab subject pool), to online with anonymous participants using mTurk. Surprisingly, while a simple move from in-lab to online (using the same subject pool) appears to increase "fake effort" – those who likely never flip the coin - it does not predict more dishonest behavior when there is a monetary incentive to cheat. The most socially distant and anonymous participants (mTurk) are more likely to be deemed cheaters in our analysis—these individuals report coin flip outcomes consistent with cheating for monetary gain. Implications of our findings indicate the greatest risk of potentially costly dishonest behavior results when anonymity, not just social distance, is high.
Essential Oils From Wild and Micropropagated Plants of Origanum minutiflorum O. Schwarz et Davis

Abstract Water-distilled essential oil of Origanum minutiflorum, an endemic species in Turkey was analyzed by gas chromatography and gas chromatography/mass spectrometry. Carvacrol (78.6%), p-cymene (7.7%) and γ-terpinene (2.2%) were identified as major constituents. The oil of micropropagated O. minutiflorum was also investigated and the results were compared with those from wild plants. Phytochemical studies of the plants indicated that in vitro propagation method increased the phenolic monoterpene (carvacrol) content, with a similar profile of other constituents.
Investigation of Novel Fractional Slot Nonoverlapping Winding Hybrid Excited Machines With Different Rotor Topologies

This article investigates novel fractional slot nonoverlapping winding hybrid excited (HE) machines with consequent-pole permanent magnet (PM) rotors. The proposed machines accommodate the rotor PM and stator field winding separately, which has solved the spatial confliction of double excitations. Different consequent-pole interior PM rotor configurations are extended to retain the PMs and utilize the flux-concentrating effect. Then, the relationship of field and armature current ratio with the PM and wound field fluxes is identified theoretically, which provides design and optimization guidelines for the HE machines. Furthermore, the HE machines are optimized and compared with conventional PM machines. It is revealed that the HE machines exhibit enhanced torque density with flux-enhancing field excitation, and extended operation range with flux-weakening field excitation. Besides, the HE machine utilizing flux-concentrating effect exhibits the highest PM torque but sacrificed flux regulation capability due to magnetic saturation. Finally, the HE prototypes with different rotor configurations are fabricated and tested to validate the analyses.
Conductance Sensors for Multiphase Flow Measurement: A Review

Multiphase flow is a commonly seen transient and complex dynamic system in many industrial processes. The phase fraction and velocity are two of the most important parameters for flow monitoring and measurement. Due to the advantages of simplicity in sensor structure, low fabrication costs and fast response, conductance sensors have received broad attentions in horizontal, vertical and inclined multiphase pipe flow measurement. A conductance sensor measures the multiphase mixture conductivity between two electrodes in contact with the fluid to determine the phase fraction. Combined with cross-correlation technique, the velocity can also be acquired. This paper presents a review on the basic sensing principle, different types of conductance sensors and their applications in flow monitoring, flow pattern identification, phase fraction determination and velocity measurement of multiphase flow. Finally, based on the conclusion of the disadvantages, advantages and limitations of this technique, the insight into trends for future development are given.
Increased frequency of severe diabetic ketoacidosis at type 1 diabetes onset among children during COVID-19 pandemic lockdown: an observational cohort study.

INTRODUCTION On March 11, 2020 the WHO announced a coronavirus disease 2019 (COVID-19) pandemic. Lockdown restrictions, compromised access to medical care and fear of potential exposure to SARS-CoV-2 have forced patients with non-COVID-19 illnesses such as type 1 diabetes (T1D) to stay home. This situation can lead to delay in T1D diagnosis and insulin treatment resulting in rapid progression to diabetic ketoacidosis (DKA) and therefore increased risk of complications and death. AIM The aim of this study was to evaluate the frequency and severity of DKA at the onset of T1D in children diagnosed in our department during COVID-19 pandemic lockdown from March 2020 till May 2020 in comparison to corresponding period of the previous year. MATERIAL AND METHODS We collected data of children with newly diagnosed T1D. DKA was defined according to ISPAD guidelines. RESULTS The study cohort comprised 34 children in group 2020 and 52 in group 2019 with an average age 9.90 ±4.9 vs. 9.59±4.7 years with mean HbA1c 12.9 ±2.4 vs. 11.5 ±2.2%, respectively. The incidence of DKA was higher by 12% in group 2020 vs. 2019 (52.94% vs 40.38%; p = 0.276). Regarding the DKA severity (2020 vs. 2019) 32.35% vs. 11.54% were severe (p = 0.026), 17.65 vs. 13% were moderate (p = 0.759), and 2.94 vs. 15.38% were mild (p = 0.081). None of the analyzed patients were COVID-19 positive. CONCLUSIONS During the COVID-19 pandemic lockdown changes in society and health care system, the DKA rate has increased by 12 percentage points with more severe cases noted in children with newly diagnosed T1D. Regular education of the whole society about the symptoms of diabetes could contribute to faster diagnosis of T1D and reduction of DKA prevalence.
Synthesis of Lawsone as Dye

In this paper, a viable route was adopted for the synthesis of lawsone. The chemical structure of the product was confirmed by UV–Vis, IR, NMR, 1H NMR and 13C NMR. The obtained 2-hydroxy-1,4-naphthoquinone was applied to dye wool fiber by pre-mordanting method with various dyeing conditions and exhibited good washing fastness, dry and wet rubbing fastness and good light fastness. These results may be helpful for the further application investigations into its commercial prospects in textile dyeing industry.
pM Level and Large Dynamic Range Glucose Detection Based on a Sandwich Type Plasmonic Fiber Sensor

A sandwich type titled fiber Bragg grating (TFBG) plasmonic sensor based on self-assembled p-mercaptophenylboronic acid (PMBA) monolayer and Au nanoparticles (AuNPs), has been demonstrated and successfully applied for sensitive and stable low-concentration glucose detection. The sensor was immobilized with PMBA monolayer acting as the highly sensitive and stable glucose recognition molecule instead of a traditional unstable enzyme. In the experiments, the high sensitivity for glucose detection is achieved, establishing a competitive limit of detection (LOD) of 295 pM and large dynamic measurement range from 1 nM to 10 mM simultaneously. Moreover, due to the unique two-set diol configurations of glucose, the combination of TFBG-SPR with AuNPs and PMBA exhibit a good selectivity over fructose and galactose, which both possess only one set of diol configurations. Non-invasive saliva glucose detection, as a better alternative to blood, has emerged and attracted many researchers’ attention. Therefore, the practicality of this method was successfully validated by detecting glucose in a simulated human saliva sample. We believe that this method represents an appealing solution for flexible, temperature-insensitive, high-sensitivity, and high-stability detection of ultra-low concentration glucose in modern non-invasive point-of-care testing as well as tumor micro-environment (TME) related cancer research.
Rewarding Social Recommendation in OSNs: Empirical Evidences, Modeling and Optimization

In the past few years, many companies are considering “social recommendation” for their businesses, e.g., firms are offering rewards to customers who recommend the firms’ products/services in online social networks (OSNs). However, the pros and cons of such social recommendation scheme are still unclear. Thus, it is difficult for firms to design rewarding schemes, and for OSN platforms to design regulating policies. By analyzing real data from Weixin and Yelp, we first identify key factors that affect the spreading of products/services in OSNs. These findings enable us to develop an accurate (i.e., with a high validation accuracy) mathematical model on social recommendations. Our model captures how users decide whether to recommend an item, which is a key factor but often ignored by previous social recommendation models such as the “Independent Cascade model”. We also design algorithms to infer model parameters. Using our model, we uncover conditions when social recommendation improves a firm’s profit and users’ utilities, as well as when it cannot improve the profit or hurts users’ utilities. These conditions help the design of both rewarding schemes and regulating policies. Moreover, we extend our model to a dynamic setting, so that a firm can improve its profit by dynamically optimizing its rewarding schemes.
Big Data and development of smart city: System architecture and practical public safety example

The concept of Smart City started its development path around two to three decades ago; it has been mainly influenced and driven by radical changes in technological, social and business environments. Big Data, Internet of Things and Networked Cyber-Physical Systems, together with the concepts of Cloud, Fog and Edge Computing, have tremendous impact on the development of Smart City, reforming its frame and tasks and redefining its requirements and challenges. We consider feasible architectures of the IT infrastructure and signal processing, taking into account aspects of Big Data, followed by summary of benefits and main challenges, like security of infrastructure and private data. As a practical example we present a public safety application of multi-sensor imaging system: a smart device with target detection subsystem based on artificial intelligence used for activation of target tracking. The experiments have been performed in the cities of Abu Dhabi and Belgrade, which have very different environment. The experiments have shown the effects of videostreaming compression on thermal imagers and the importance of distributed processing power that optimizes requirements for amount of transmitted data and delay.
Grid-Connected Induction Motor Using a Floating DC-Link Converter Under Unbalanced Voltage Sag

This article proposes a series compensator with unbalanced voltage sag ride-through capability applied to grid-connected induction motors. A conventional three-phase voltage source inverter (VSI) is intended to regulate the motor voltages. The VSI is connected in series with the grid and a three-phase machine with open-ended windings. The proposed system is suitable for applications in which no frequency variation is required, like large pumps or fans. The VSI dc-link voltage operates as a floating capacitor through the energy minimized compensation (EMC) technique, in which there is no dc source or injection transformer. The motor load condition determines the minimum grid voltage positive component (sag severity) to keep EMC operation. Meanwhile, a voltage unbalance may increase the dc-link voltage requirements. A 1.5-hp four-pole induction motor has been used to verify the ride-through capability of the proposed compensator under grid voltage disturbances. A total harmonic distortion (THD) analysis of grid currents demonstrates that the proposed system provides low THD even if no passive filter is used. The operating principle, converter output voltage analysis, pulsewidth modulation technique, control strategy, and components ratings are discussed as well. Simulation and experimental results are presented to demonstrate the feasibility of the system.
Autoxidation and Photooxidation of 1,3-Diphenylisobenzofuran: A Kinetic and Product Study

Photooxidation of 1,3-diphenylisobenzofuran (DPBF) in aromatic solvents at 30° gives a monomeric peroxide along with minor amounts of o-benzylphenyl benzoate, whereas in CCl4o-dibenzoylbenzene is t.
Peak-Based Philips Fingerprint Robust to Pitch-Shift for Audio Identification

An ideal audio retrieval system identifies a short query snippet from a massive audio database with both robustness and efficiency. Unfortunately, none of the existing systems could robustly handle all distortions while being efficient. Enhanced sampling and counting (eSC), the state-of-the-art audio retrieval method proposed for Philips-like fingerprints, has achieved both high efficiency and strong robustness, featuring time-stretch resistance, however, suffers from pitch-shift attacks. This article proposes a peak-point-based energy bands computation method to enhance Philips fingerprint with resistance to pitch-shift, and the resulting fingerprint is called peak-point based Philips fingerprint (PPF). Experimental results show that PPF can resist pitch-shift ranging from 70% to 130%, which enhances eSC with pitch-shift resistance while retaining all its benefits.
The Influential Factors on Antibacterial Behaviour of Copper and Silver Nanoparticles

Abstract The synthesis of metallic nanoparticles (NPs) is of high interest due to their wide range of applications in various fields. Among various types of NPs, copper and silver NPs have received considerable attention because of their unique chemical, physical and antibacterial properties and also their vast applications in various fields including electronics, optics and medicine. The antibacterial properties of these NPs are the main reason for their application in medicine, textile, water treatment and food industry. Previous studies have shown that several factors like size, shape, type of coating, the concentration of a solution containing silver and copper NPs, type of microorganisms, stability of the solution and also environmental conditions like: pH, the presence of ligand (molecule or ion to bond with the central metal and compound-complex) and the bivalent cations are effective factors in antibacterial properties of these NPs. The main purpose of this paper is to review the previous studies in order to determine the mechanism of antibacterial properties of these NPs and their influential factors due to the increasing use of these metal NPs in various fields.
NUMERICAL APPROXIMATION OF THE GROUND REACTION AND SUPPORT REACTION CURVES FOR UNDERGROUND LIMESTONE MINES

OF THESIS NUMERICAL APPROXIMATION OF THE GROUND REACTION AND SUPPORT REACTION CURVES FOR UNDERGROUND LIMESTONE MINES Pillar stability has been a matter of study for the last 70 years. The determination of pillar strength had taken different solutions and approaches over that time. This research has led to numerous empirical formulations that have reduced the number of pillar failures worldwide. However, new numerical approaches are being studied. In the last 20 years, the Ground Reaction Curve concept has been examined as a way of understanding the convergence of the rock-mass. Although the Ground Reaction Curve was first introduced in the civil tunneling industry, several authors have introduced the Ground Reaction Curve concept as an approach for an integrated pillar design methodology. Furthermore, the intersection of the Ground Reaction Curve and Support Reaction Curves can be used to determine the appropriate support systems for underground excavations. The man-made support structures (i.e., pumpable cribs, concrete cribs, and wood cribs) in a mine will have a unique Support Reaction Curve. Literature suggests that the pillar structures in underground mines can also be regarded as support structures and their reaction to tributary and or abutment stress can be viewed with respect to the ground reaction curve at the pillar location. In this study, an underground limestone mine was instrumented with borehole pressure cells and roof extensometers. This thesis presents a series of two-dimensional and three-dimensional finite element numerical models that were used to estimate the Ground Reaction Curve and the Support Reaction Curve for a pillar. The numerical models consider the stages of development and benching around the pillar. Numerical results are compared with field measurements of the study case located in northern Kentucky.
Translational aspects in neurodevelopmental disorders

© The Author(s) 2020. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Translational aspects in neurodevelopmental disorders
A 10-Gb/s 180-GHz Phase-Locked-Loop Minimum Shift Keying Receiver

A 180-GHz minimum shift keying (MSK) receiver (RX) using a phase-locked loop (PLL), which self-synchronizes the carrier frequency, is demonstrated. The mixer-first RX is fabricated in a 65-nm CMOS process. A double-balanced anti-parallel-diode-pair sub-harmonic mixer performs the phase detection, reducing the frequency of local oscillator (LO) by half. Tunable zeros realized by series inductors are used to improve the stability and to increase the data rate handling capability. Without external LO synchronization, the RX demodulates MSK signals at 10 Gb/s with a bit error rate (BER) < 10<sup>−12</sup> and at the maximum data rate of 12.5 Gb/s with a BER of 3.8 <inline-formula> <tex-math notation="LaTeX">$\times $ </tex-math></inline-formula> 10<sup>−5</sup>. The BER at 10 Gb/s is the lowest and the data rate of 12.5 Gb/s is the highest for PLL RXs.
Alkylpyridinium Alkylsulfate Ionic Liquids as Solvents for the Deterpenation of Citrus Essential Oil

The ionic liquids 1-methylpyridinium methylsulfate and 1-ethylpyridinium ethylsulfate were tested as solvents for the deterpenation by liquid-liquid extraction of citrus essential oil, simulated as a mixture of limonene and linalool. Liquid-liquid equilibrium data for the ternary systems limonene + linalool + 1-alkylpyridinium alkylsulfate (with the alkyl chain being methyl or ethyl) were determined at 298.15 K and atmospheric pressure, and suitably correlated with the UNIQUAC thermodynamic model. A comparison was established between the performance of these ionic liquids, as well as with others previously reported in the literature, to evaluate the influence of different structural features of the ionic liquids on their deterpenation ability.
National Resilience to Protracted Violence in Ukraine

This paper concentrates on the production of power of the Ukrainian nation, that not only deals with continuous violence within the nation, but also develops national strength to address this violence. This paper aims to explore how the Ukrainian nation develops resilience to protracted violence as a form of transformative power and what factors contribute or impede this process. The paper defines resilience as a form of power that enhances the capacity of a national community to heal from trauma, effectively resists perpetrators of violence, and positively transform intergroup relations to remove communities from contexts of chronic violence and war. Based on semi-structured interviews with twenty-six respondents and a phenomenological analysis of data, this paper shows that effective practices of resilience developed by the national community of Ukraine, including volunteerism, a critical approach to history, and dialogue, not only aid Ukrainians in the adaptation to the chronic violence but also in the transformation of the nature and the impact of the violence on the national community. At the same time, these practices not only utilize external and internal resources but shape the societal capacities and the international interventions. Finally, these practices also alter visions of the society and dynamics of relations between power agents.
Mesogenic Semicarbazones and Amino Oxadiazoles-I

Abstract Number of semicarbazones of 4(4′-n-alkoxybenzoyloxy) benzaldehydes are synthesized. They are cy-clized to respective amino-oxadiazoles. Both the series of compounds exhibit mesomorphism. However, the decomposition is a major problem for semicarbazones. Compounds of both the series are characterized by elemental analysis, UV, IR spectra and NMR spectra.
Incidence of metabolic syndrome and determinants of its progression in Southern Iran: A 5-year longitudinal follow-up study

Background: Metabolic syndrome (MetS) is a cluster of conditions increasing the risk of serious diseases. This study aimed to define the predictors of MetS incident in a community-based cohort in Southern Iran, during a mean follow-up period of 5.1 years. Materials and Methods: During the mean follow-up period of 5.1 years, a cohort study was conducted on 819 Iranian adults aged ≥18 years at baseline and followed to determine the incidence and predictors of MetS progression in Shiraz, a main urban region in the southern part of Iran. The International Diabetes Federation Guideline was used to detect the MetS. Multiple Cox's proportional hazards models were also used to estimate the predictors of new-onset MetS. Results: The prevalence of MetS was 25.9% at baseline, and the overall incidence of subsequent MetS was 5.45% (95% confidence interval [CI]: 4.47–6.59). The incidence of MetS was significantly higher in women (7.12% [95% CI: 5.52–9.05]) than in men (3.92% [95% CI: 2.80–5.34]). Moreover, it increased by 5.02 (95% CI, 3.75–6.58) among individuals who had one metabolic component and by 12.65 (95% CI, 9.72–16.18) for those who had three or more components (P < 0001). The incidence of MetS was also analyzed using the multiple Cox's proportional hazards model for potential risk factors, and it was revealed that female gender (hazard ratio [HR] 2.45; 95% CI: 1.33, 4.50; P = 0.004), higher body mass index (HR 3.13; 95% CI: 1.43.6.84; P = 0.012), increased abdominal obesity (HR 1.45; 95% CI 0.85, 2.46; P = 0.045), smoking (HR 4.79; 95% CI 2.09, 10.97; P < 0.001), and lower high-density lipoprotein (HR 0.53; 95% CI: 0.29, 1.00; P = 0.044) significantly predicted the onset of MetS at baseline; however, age, systolic and diastolic blood pressure, serum uric acid, fasting blood glucose, cholesterol, triglyceride and creatinine, estimated glomerular filtration rate, marital status, level of education, and level of physical activity did not independently predict the onset of MetS when other covariates were considered. Conclusion: This study showed the high-incidence rates of MetS in males and females residing in Southern Iran. Therefore, the prevention through community-based lifestyle modification should be implemented to reduce the burden of MetS and its complications.