Miracle-dz/UniFAR-FTUs huggingface dataset:
Key features of teacher identity: a systematic meta-review study with special focus on teachers of science or science-related subjects

ABSTRACT Since 2010, a remarkable number of literature reviews on teacher identity has been published. These literature reviews address a wide range of different foci, e.g., school teachers’ identity, higher education teachers’ identity, or the identity of teachers teaching a specific subject such as science. So far, these literature reviews have not been systematically compared for similarities and differences to gain a deeper understanding of what key features characterise teachers’ identities in general and what key features are specific for the identity of teachers teaching science or science-related subjects. To address this research gap, we conducted a meta-review of 24 literature reviews on teacher identity, which we identified in ERIC and the Web of Science databases. From the 24 reviews we extracted 30 key features of teacher identity. In addition, several of these key features are notably prevalent in literature reviews addressing the identity of teachers teaching science or science-related subjects, while others are less prevalent. Above all, these results strongly indicate that the identity of science teachers significantly differs from the identity of teachers of other subjects or of generalist teachers. Implications of this finding for future research in science education are outlined at the end of this paper.
Classification and Total Carbon Determination of the Soils Using RGB Digital Images Combined with Machine Learning

ABSTRACT An alternative approach for soil characterization is proposed, using digital images and machine learning. The present work investigated the Red, Green, and Blue (RGB) pattern with Artificial Neural Network (ANN) and Random Forest (RF) in the classification of Oxisol and Inceptisol collected in South Brazil. Furthermore, we also built ANN, RF, Partial Least Squares (PLS), and Support Vector Machine (SVM) models from digital images to quantify Total Carbon (TC) content in soil samples. Preliminary evaluations considered the hypothesis that alternative methods of classification and quantification of soil properties might provide results comparable to traditional methods. The TC content of 91 soil samples, 40 from Oxisol and 51 from Inceptisol were determined by dry combustion. ANN and RF as machine learning algorithms were applied to classify the two kinds of soils. The classification quality was assessed by the percentage of correctly classified instances. The results suggest using digital images and machine learning algorithms as a new methodology to soil classification. The best machine learning method was RF which can be used to classify soil types by the RGB channel colors of the soil images. The use of digital images and RF is a clean (eco-friendly), rapid, and affordable strategy analysis for TC quantification in soils. Therefore, the proposed methods represent an advancement in soil classification, such as the determination of the TC content of soils.
Cytotoxic activity and antioxidant effects of Origanum onites essential oil and its two major contents, carvacrol and p-cymene on human colorectal (HCT116) and hepatocelluler carcinoma (HepG2) cell lines

ABSTRACT Origanum onites L. (O. onites) is one of the cultivated Origanum species in Turkey. The aim of this study was to determine the cytotoxicity and cellular antioxidant effects of O. onites essential oil, carvacrol and p-cymene on HCT116 and HepG2 cells. O. onites essential oil components were analyzed by GC/MS and GC/FID. Cytotoxicity was analyzed via the MTT assay in HCT116 and HepG2 cells. Cellular antioxidant activities of O. onites essential oil, carvacrol and p-cymene were determined with DCFH-DA method. GC/MS analysis identified carvacrol (%78.4) as the main constituent of O. onites essential oil. 400 µg/ml concentration of O. onites essential oil, carvacrol and p-cymene were found to be active against HCT116 and HepG2 cells. Also, carvacrol showed higher cellular antioxidant activity than O. onites essential oil and p-cymene. We conclude that O. onites essential oil and carvacrol may be a candidate for pharmaceutical products in treatment of cancer.
Effect of Wall Slide and Ground-Based Push Up Exercises on Scapular Alignment and Shoulder Range of Motion in A Greater Tubercle Fracture of Humerus with Brachial Plexus Injury: A Case Report

The purpose of the study was to see the effect of wall slide and ground-based push up exercises on scapular alignment and shoulder range of motion in a greater tubercle fracture of humerus with brachial plexus injury. Patient complaints of pain on shoulder, difficulty in shoulder movements, loss of movement and strength in wrist and elbow. Clinical findings include reduction in shoulder mobility, increase in scapular alignment has been done with lateral scapular slide test. Rationale: static push-up and ball push-up exercise, upper limb and abdominal muscles largely contribute to maintaining balance without any instability. This study showed improvements in range, strength, and Functions with the use of wall slide and ground-based push up exercises. KEY WORDS: Greater Tuberosity, wall slide, scapular downward rotation, push-up exercise.
Taper Design of Vivaldi Antenna by Butterworth Method

In this paper a method to design tapered slot antenna (TSA), a member of ultra-wideband (UWB) antenna, is presented. The proposed method is related to impedance matching of input and free space intrinsic impedance by Butterworth method. By this method, curve fitting converts step impedance to optimized curve and this optimized curve and its symmetry create Vivaldi antenna. The fractional bandwidth (FBW) of the antenna by the proposed method is 155% which is more than the methods of Chebyshev and attenuation. A prototype of this antenna is fabricated and simulation and measurement results are in good agreement.
The Weihai Observatory Search for Close-in Planets Orbiting Giant Stars

Planets are known to orbit giant stars, yet there is a shortage of planets orbiting within ∼0.5 AU (P ≲ 100 days). First-ascent giants have not expanded enough to engulf such planets, but tidal forces can bring planets to the surface of the star far beyond the stellar radius. So the question remains: Are tidal forces strong enough in these stars to engulf all the missing planets? We describe a high-cadence observational program to obtain precise radial velocities of bright giants from Weihai Observatory of Shandong University. We present data on the planet host Beta Gem (HD 62509), confirming our ability to derive accurate and precise velocities; our data achieve an rms of 7.3 m s-1 about the Keplerian orbit fit. This planet-search program currently receives ∼100 nights per year, allowing us to aggressively pursue short-period planets to determine whether they are truly absent.
Harmonics-Controlled Frequency Division Multiple Access without Harmonics and Sidebands Interference in Backscatter Communications

In backscatter communications, data is transmitted with up to 1/1000 of the power consumption, instead of the typical several tens of milliwatts. However, if there are multiple nodes for backscatter communication in the same space, harmonics and sidebands limit the number of multiplexing nodes. Both are suppressed by switching the impedance in multiple steps or generating the signal with opposite phases; however, these methods increase the hardware cost of the backscatter tag. This paper proposes harmonics-controlled frequency division multiple access (HC-FDMA), which allows multiple access interference in backscatter communications without hardware modification. HC-FDMA consists of two modules: a modulation scheme and a channel selection algorithm. The modulation scheme controls the harmonics to an arbitrary channel using ∆Σ modulation. The channel selection algorithm optimizes the frequencies of the signal component, harmonics, and sidebands. Targeting IEEE 802.15. 4-compatible backscatter, backscatter communication using HC-FDMA achieves 1.45 times multiplexing compared to the case without HC-FDMA. In addition, the analysis results characterize the capability of HC-FDMA.
Spatial Feature Aided Optimal Compressive Phase Training and Channel Estimation in Massive MIMO Systems with RIS

Accurate channel state information (CSI) acquisition with low pilot overhead has always been a problem for RIS-assisted massive MIMO systems. The design of phase shifts at RIS plays a key role in channel estimation (CE). In this paper, we incorporate the spatial feature of RIS into the design of a variational Bayesian inference-based CE algorithm, which is computational efficient and can exploit the sparse structure of cascaded channel. To optimally configure the phase shifts of RIS for CE, an optimal phase training algorithm and a simplified version are proposed by formulating the CE performance metric in terms of the RIS phases. The numerical simulations show that the proposed spatial feature aided optimal phase training of RIS as well as the compressive CE algorithm achieve superior CE performance with very low pilot overhead compared to the state-of-art baselines.
Ancylostoma ceylanicum Hookworms in Dogs, Grenada, West Indies

Ancylostoma ceylanicum hookworms are recognized agents of human infection in the Asia–Pacific region. We investigated prevalence of zoonotic hookworm infections in dogs in Grenada in 2021; 40.8% were infected by hookworms, including Ancylostoma ceylanicum. Surveillance of this parasite in dogs and humans is needed in tropical/subtropical countries in the Americas.
Perceived insider status and employees' innovative behavior: the role of knowledge sharing and organizational innovation climate

PurposeThis study aims to investigate the effect of perceived insider status to employees' innovative behavior, the mediating role of knowledge sharing and the moderating role of organizational innovation climate in the relationship between knowledge sharing and employees' innovative behavior.Design/methodology/approachThis study adopted questionnaires to gather data. The sample of 341 employees working in diverse organizations in China was applied to examine the hypotheses.FindingsThe results indicate that perceived insider status is positively related to employees' innovative behavior and knowledge sharing mediates the relationship between perceived insider status and employees' innovative behavior. In addition, organizational innovation climate enhances the relationship of knowledge sharing and employees' innovative behavior.Originality/valueThis study builds a system from psychological aspect to behavior, which includes the mechanism of the influence of perceived insider status on employees' innovative behavior and a cross-level analysis of the influence of organizational innovation climate on employees' innovative behavior, breaking through the previous research paradigm of a single level of climate and employee behavior.
Inhibition effect of Tantum Rosa drug on the corrosion of copper in 3.5 wt.% NaCl solution

In the present paper, the inhibition performance of benzydamine hydrochloride drug, commercially named Tantum Rosa on copper was investigated in 3.5 wt. % NaCl solution. Potentiodynamic polarization, electrochemical impedance spectroscopy, scanning electron microscopy and energy dispersive X-ray spectroscopy were employed. The electrochemical results revealed that Tantum Rosa acts as a mixed-type inhibitor on the copper corrosion and its protective effectiveness is concentration and time-dependent. The inhibiting efficiency of Tantum Rosa was improved with the increase in the drug concentration and reached the maximum value of 91.5% at 5 mM. The inhibitive effect of Tantum Rosa was afforded to its spontaneous adsorption on the copper surface, through combined physical and chemical processes, according to Langmuir adsorption isotherm. The time-weakening of the inhibitor film stability leaded to a progressive decay of the inhibition ability of Tantum Rosa at prolonged exposure. SEM-EDX analysis confirmed that the surface morphology of copper was significantly improved in the presence of the inhibitor.
Emotional rhythms of power: reframing emotion rules through aesthetic modes of embodied interaction

ABSTRACT This paper examines how emotion rules are socially constructed and how and why they are enacted and challenged through specific modes of embodiment in face-to-face interactions. The paper broadens the understanding of emotion rules by connecting them to aesthetics to explore face-to-face interactions. This paper is based on ethnographic data gathered from a two-year study of a micro-sized service company. It explores the structure, function, and meaning of three emotion rules: (1) the emotionality rule, (2) the enthusiasm rule, and (3) the nice way rule as enacted by the company’s chief executive officer (CEO) and employees. This paper enhances the understanding of the role of emotion rules in establishing an innovative and democratic organisation. It offers insight into how emotion rules were enacted, challenged, and broken in an unexpected situation when the CEO announces her non-consultative decision that affected the company’s employees.
Cortical Gyrification Morphology in Adult Males with Mild Traumatic Brain Injury

Cortical gyrification, as a specific measure derived from magnetic resonance imaging, remains understudied in mild traumatic brain injury (mTBI). Local gyrification index (lGI) and mean curvature are related measures indexing the patterned folding of the cortex,ml which reflect distinct properties of cortical morphology and geometry. Using both metrics, we examined cortical gyrification morphology in 59 adult males with mTBI (n = 29) versus those without (n = 30) mTBI in the subacute phase of injury (between 2 weeks and 3 months). The effect of IQ on lGI and brain-symptom relations were also examined. General linear models revealed greater lGI in mTBI versus controls in the frontal lobes bilaterally, but reduced lGI in mTBI of the left temporal lobe. An age-related decrease in lGI was found in numerous areas, with no significant group-by-age interaction effects observed. Including other factors (i.e., mTBI severity, symptoms, and IQ) in the lGI model yielded similar results with few exceptions. Mean curvature analyses depicted a significant group-by-age interaction with the absence of significant main effects of group or age. Our results suggest that cortical gyrification morphology is adversely affected by mTBI in both frontal and temporal lobes, which are thought of as highly susceptible regions to mTBI. These findings contribute to understanding the effects of mTBI on neuromorphological properties, such as alterations in cortical gyrification, which reflect underlying microstructural changes (i.e., apoptosis, neuronal number, or white matter alterations). Future studies are needed to infer causal relationships between micro- and macrostructural changes after an mTBI and investigate potential sex differences.
An Intelligent Route Guidance Strategy based on Congestion Type for ITS

Traffic congestion is a severe challenge for intelligent transportation system (ITS). So far, if traffic congestion is perceived in a route, a common solution is searching for another congestion-free route. However, it is observed that not all congestions should be tackled with rerouting, since the extra overhead (e.g., extra travel time, extra fuel consumption, and extra CO2 emission) caused by certain congestions might be lower than that of re-routing. Against this backdrop, an intelligent route guidance strategy is proposed, in which vehicles will trade off the extra overhead of re-routing and that of waiting in congestion. Firstly, the perceived congestion is divided into four basic types. Then, the prediction method about the duration of each congestion type is formulated. Finally, the intelligent route planning mechanism is developed. Simulations demonstrate that the proposed strategy can reduce the travel time, fuel consumption, and CO2 emission for vehicles.
Gender Norms Do Not Persist But Converge Across Time

Gender equality is a fundamental human right, considered essential for the creation of a just society and a key ingredient of the United Nations Sustainable Development Goals. A key determinant of gender inequality in terms of the gender wage gap and other dimensions are the attitudes and stereotypes associated with women (Blau and Kahn (2017), Fernández (2007), Klasen (2002)). Here, we investigate the evolution of gender norms for 160 years in the US. Socioeconomists have posited two fundamental and widely debated theories on the evolution of cultural norms across time. One school argues that cultural norms (including gender norms) should converge across time (Marx (1867), Bell (1976), Lerner (1958), Inglehart (1997)) as economies become more advanced and globalised and technological progress allows for easier information sharing. The other school states that cultural traits are highly persistent, passed down from generation to generation and will remain divergent across regions (Weber (1904), Huntington (1993), Huntington (1996), DiMaggio (1994)). To test these theories quantitatively, researchers need data on attitudes measured at appropriate levels of granularity, at a high frequency and over a long time series. However, no such data currently exists. Here we propose an unsupervised machine learning methodology to measure attitudes at the document level. We apply this methodology to 193 million pages of local newspaper text to produce localised attitudes towards women on four different dimensions: career vs family, attitudes towards abortion, attitudes towards feminism/suffrage, and violence against women. We establish five novel facts on the evolution of attitudes across time with these measures. (i) Attitudes are less persistent than the existing literature hypothesises. (ii) The persistence of attitudes varies considerably across different regions and dimensions. (iii) Attitudes exhibit cyclical patterns. (iv) Regional variation in attitudes decreases considerably over time and has fallen between 64% to 79%. (v) A decrease in transport costs that allows for easier information sharing is associated with a homogenisation of the norms. Our paper calls for more research on whether similar patterns exist across countries and the causal factors that make culture converge. ∗London Business School; Correspondence: ssingla@london.edu
Bystanders and their beliefs to help victims in situations of bullying

Bullying is a type of violence that manifests itself as unwanted and aggressive, intentional behavior among peers that is repeated over time. The Help Teams (EA’s) are groups of students prepared to offer strategies and solutions to the problems that afflict the daily coexistence of children and adolescents in schools. The present research is exploratory, quantitative in nature, and sought to compare the differences perceived in self-efficacy beliefs for helping in bullying situations among adolescents in schools that have implemented the EA's and those that do not. It also compared the self-efficacy beliefs to help between participants of EA's and non-participants. The study had 2,403 students distributed in two groups: 1,301 students from private schools that have the EA's and 1,102 students from schools that do not have such a proposal. The results show that the beliefs to help reached lower rates in schools that have the SAI implemented. This fact is due to the increased perception of the complexity of the phenomenon, which does not exist in schools that do not have the work developed.
Probabilistic Accumulate-then-Transmit in Covert Communications with Energy Harvesting

In this paper, we investigate a wireless-powered covert communication (WP-CC) system, where a full-duplex (FD) receiver transmits artificial noise (AN) to simultaneously charge an energy-constrained transmitter and to confuse a warden’s detection on the transmitter’s communication activity. A probabilistic accumulate-then-transmit (ATT) protocol, where the transmitter sends its information with a prior probability p conditioned on the available energy being sufficient, is proposed to maximize the communication covertness subject to a requirement on the communication quality. In order to facilitate the optimal design of the prior probability p and the information transmit power in the considered WP-CC system, we also derive the warden’s minimum detection error probability and characterize the effective covert rate from the transmitter to the receiver to quantify the communication covertness and quality, respectively. Our examination shows that the proposed probabilistic ATT protocol can achieve higher communication covertness than the traditional ATT protocol with p = 1.
Study of miniaturized E‐patch antenna loaded with novel E‐shape SRR metamaterial for RFID applications

A new design of compact micro strip antenna, based on a newly structure "E"SRR of metamaterial is proposed and designed using CST Microwave Studio. It has been found that the characteristics of new micro strip antenna with novel designed metamaterials placed in the same plane as the radiating element are comparable to the conventional patch antennas, whereas its gain, directivity, and radiating efficiency are remarkably improved. For the design and fabricated antenna, it shows that with the addition of split ring resonator, the frequency has been shifted from 2.38 GHz to 2.4 GHz. The return loss of this antenna increased from −60 dB to −70 dB. The realized gain increased from 7.1 dbi for the antenna alone to 7.31 dbi for the meta‐material antenna. Prototype for all antennas are fabricated and measured. Good agreement between the measured and simulated results is achieved.
A Scheme for Flexible-Hybrid Subtask Offloading in a Two-Tier UAV- Assisted MEC Network

As a technique to buffer the conflict between computation-intensive tasks and capability-limited devices, unmanned aerial vehicle-enabled mobile edge computing (UAV-MEC) has been witnessed as a promising approach. In this paper, we consider an optimization of dependent and independent subtasks hybrid offloading to maximize the utility, which is decided by the weighted sum of makespan gain and energy consumption gain. Firstly, we design a two-tier UAV-assisted MEC offloading architecture to obtain efficient and cooperative communication between the ground command centers and the UAVs. Secondly, we develop a flexible-hybrid subtask offloading scheme(F-HSO) to obtain the optimal solution of the problem in a parallel and sequential manner. Numerical results show that our algorithm can significantly outperform the other representative benchmarks in utility.
Development of a graphical user interface and cross manufacturer adaptation of a program for determining the pulse wave velocity in the aorta from phase-contrast magnetic resonance images

Abstract Due to the periodic contraction of the heart, a pulse-shaped course of the blood velocity is caused in the aortic system. The speed at which this pulse wave moves is called pulse wave velocity (PWV). Since it depends, among other parameters, on the elasticity of the vascular wall, it can be used clinically as an indicator of atherosclerotic changes and, above all, as a measure of the risk of stroke for hypertensive patients. PWV can be determined non-invasively if the blood flow in the aorta is measured via flow-sensitive MRI. Within the scope of this work, existing phase-contrast (PC) image analysis algorithms, resulting in the PWV, were embedded in a graphical user interface (GUI). These algorithms were only able to evaluate PC images which were acquired on a Philips tomograph. Therefore they have been extended for the analysis of PC images acquired on a Siemens tomograph.