Miracle-dz/UniFAR-FTUs huggingface dataset:
Growing but Not Grown: Adolescent Black Girls’ Reasoning About a Hypothetical and Challenging Social Situation

In this study, we take a situationally specific approach to understanding how Black girls perceive, process, and respond to a hypothetical social situation. Through this approach, we aim to contribute to developmental inquiry that resists deficit thinking by foregrounding the voices of Black girls. The current study took place within the participatory culture-specific intervention model and involved 22 early adolescent Black girls (fifth–seventh grade). We conducted semi-structured interviews, asking them to respond to a potentially risky hypothetical situation with a male peer they have just met. Thematic analysis revealed three organizing themes: the overall goal of preserving safety and dignity, a growing ability to handle high-stakes interpersonal interactions, and the expectation of empathy and protection from the community around them. These findings challenge stereotypical portrayals of Black girls as hypersexual and aggressive and add to our understanding of the psychology of Black girls by illustrating their adaptive social decision-making.
Characteristic Scales of Tropical Convection Based on the Japanese Advanced Himawari-8 Imager Observations

Convective activities play an important role in tropical weather systems. To investigate the characteristic scales of convection, a method combining a principal component (PC) analysis with Fourier decomposition is applied to brightness temperature observations from Advanced Himawari-8 Imager (AHI). Characteristic scales of different modes in tropical convective systems are obtained. The explained variance reduces rapidly from the first to the 60th PC mode by two magnitudes; the horizontal scale decreases from over 2000 km to about 100 km, and the timescale changes from more than 4 days to around 5 h. By a detailed comparison of the first, 20th, 40th, and 60th PC modes, it is found that large-scale (over 2000 km in wavelength) convective activities usually have significant nocturnal enhancement, whereas meso-scale (about 100 km in wavelength) convective activities feature short period and fast change with more intense development in regions of active large-scale convection. This study may be of some importance for the choice of AHI data assimilation cycling interval, the horizontal resolution as well as data thinning for geostationary satellite observations.
Accessibility of educational virtual reality for children during the COVID-19 pandemic.

This article provides an exploratory inquiry into children's use of educational virtual reality (VR) at home, thereby complementing prior experimental research about the effects of VR on children. In order to assess the potentially innovative role that VR can play in remote instruction, this study collected data from parents and legal guardians reporting on their children's VR use at home during the first wave of the shelter-in-place measures resulting from the coronavirus disease (COVID-19) pandemic. From April to July 2020, parents and legal guardians who own VR devices participated in a survey (n = 311), longitudinal follow-up surveys (n = 60), and in-depth interviews (n = 20). The results indicate how VR can function as an innovative tool for socioemotional learning in a situation of remote instruction by (a) enhancing school materials and (b) sparking conversations about current affairs. Additionally, the results highlight two main barriers obstructing children's learning with VR. First, VR technology is gendered and may hinder the usage of both women and girls. Second, educational content is hard to find and lacks contextualizing complementary materials. With regard to the first barrier, the authors argue that the gender issue should be addressed in order to make VR more accessible to all children. This article addresses the second barrier by providing a database of educational VR applications. Ultimately, educational VR applications should be complemented with contextualizing materials to reach VR's potential as an innovative learning tool. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
Music instrument teachers in higher education: an investigation of the key influences on how they teach in the studio

In higher education music instrument teaching, there is a strong tradition of high-level performers being recruited to teach advanced students within the private studio despite the fact these educators often have no training in pedagogy. The studio environment also continues to be dominated by the one-to-one lesson format and the master-apprentice tradition. While the literature overviews a long history of the master-apprentice tradition in various fields, there is to date minimal empirical research that specifically evidences the extent to which it is cyclical in nature. This paper reports on survey data from 54 current tertiary educators across four countries who were asked to identify the key influences on how they work within the music studio. The data point not only to the influence of the master-apprentice tradition, but also to the fact that most current educators rely on previous teachers and experiences of teaching to inform their pedagogy.
Magnetoresistance sensor-based rotor fault detection in induction motor using non-decimated wavelet and streaming data

In this paper, the giant magnetoresistance broken rotor (GBR) method is used to diagnose the induction motor (IM) rotor bar fault at an early stage from outward magnetic flux developed by IM.The outward magnetic field signal has anti-clockwise radiation due to broken rotor bar current.In this paper, the outward magnetic signal is acquired using a giant magnetoresistance (GMR) sensor. In the GBR method, IM rotor fault is analysed with a non-decimated wavelet transform (NDWT)-based outward magnetic signal. Experimental result shows the difference in statistical features and energy levels of sub-bands of NDWT for healthy and faulty IM. Least square-support vector machine(LS-SVM)-based classification results are verified by confusion matrix based on 150 outward magnetic signals from a healthy and damaged rotor (broken rotor). The proposed method identifies IM rotor faults with 95% sensitivity, 90% specificity and 92.5% classification accuracy. Furthermore, run-time IM condition monitoring is performed through the ThinkSpeak internet of things (IoT) platform for collecting outer magnetic signal data. ThinkSpeak streaming data of outward magnetic field help detect rotor fault at the initial stage and understand the growth of rotor fault in the motor. The proposed GBR method overcomes sensitivity, translation-invariance limitations of existing IM rotor fault diagnosis methods.
PUF-Assisted Lightweight Group Authentication and Key Agreement Protocol in Smart Home

Various IoT-based applications such as smart home, intelligent medical, and VANETs have been put into practical utilization. The smart home is one of the most concerned environments, allowing users to access and control smart devices via the public network remotely. The smart home can provide many intelligent services for users through these smart devices. To securely access devices and obtain collected data over the public network, multifactor authentication protocols for smart home have gained wide attention. However, most of these protocols cannot withstand impersonation attack, smart device lost attack, privileged-insider attack, smart card lost attack, and so on. Besides, high communication and computational costs weaken the system performance, which leads to most authentication protocols are not suitable for resource-constrained smart devices. To mitigate the aforementioned drawbacks, we proposed a PUF-assisted lightweight group authentication and key agreement protocol to implement secure access to multiple devices in the smart home simultaneously using the Chinese Remainder Theorem and secret sharing technique. Our protocol also utilizes physical unclonable function (PUF) and fuzzy extractor technique to extract the digital fingerprint of the smart devices, which can uniquely validate smart devices and protect the secrets stored in their memory. Our protocol can support various security features and withstand the many well-known attacks in the smart home. The performance analysis indicates that the proposed protocol can efficiently reduce communication/computational costs when the user simultaneously accesses multiple devices.
Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks

Humans learn movements naturally, but it takes a lot of time and training to achieve expert performance in motor skills. In this review, we show how modern technologies can support people in learning new motor skills. First, we introduce important concepts in motor control, motor learning and motor skill learning. We also give an overview about the rapid expansion of machine learning algorithms and sensor technologies for human motion analysis. The integration between motor learning principles, machine learning algorithms and recent sensor technologies has the potential to develop AI-guided assistance systems for motor skill training. We give our perspective on this integration of different fields to transition from motor learning research in laboratory settings to real world environments and real world motor tasks and propose a stepwise approach to facilitate this transition.
The Natural Rate of Interest Through a Hall of Mirrors

Prevailing explanations of persistently low interest rates appeal to a secular decline in the natural interest rate, or r-star, due to factors outside monetary policy's control. We propose informational feedback via learning as an alternative explanation for persistently low rates, where monetary policy plays a crucial role. We extend the canonical New Keynesian model to an incomplete information setting where the central bank and the private sector learn about r-star and infer each other's information from observed macroeconomic outcomes. An informational feedback loop emerges when each side underestimates the effect of its own action on the other's inference, possibly leading to large and persistent changes in perceived r-star disconnected from fundamentals. Monetary policy, through its influence on the private sector's beliefs, endogenously determines r-star as a result. We simulate a calibrated model and show that this `hall-of-mirrors' effect can explain much of the decline in real interest rates since 2008.
The other ISL: analysing the finances of the Indian Super League (football) and its franchisees

ABSTRACT Rationale: This paper conducts a holistic performance analysis of the Indian Super League (ISL) football competition and its member franchisees between 2014–2015 and 2019–2020 with a particular focus on financial and sporting performance metrics. Methodology: The study utilises the PAM for professional football teams which consists of eight financial indicators and three sporting indicators. The data for this research were obtained by dissecting the annual accounts of ten ISL franchisees between 2014–2015 and 2019–2020 season. Findings: The results (at both franchisee and league level) show financial problems that have, in some ways, stunted growth of the ISL. Many franchisees have reported poor financial performance for the period of the study and there are problems with debt and profitability. As a result, our findings show that for this study, there is also no statistical evidence that having better financial health leads to superior sporting performance in the ISL to date. Practical implications: The ISL face challenges at governance level due to its peculiar structure and arrangements between the league, franchisees, and broadcasters. Financial performance has been an issue since the inception of the league and franchisees have cost control issues that have been commonplace in other major sporting leagues around the globe. Despite being in its infancy stage, the warning signs can lead to stagnation and regression of the league in the future, if not addressed properly.
Evaluation of the Functional Treatment of Patients With Skeletal Class II Malocclusion Using Low-Level Laser Therapy-Assisted Twin-Block Appliance: A Three-Arm Randomized Controlled Trial

Background Different techniques have been used to reduce functional treatment time including low-level laser therapy (LLLT), and the majority of studies have been conducted on animals. Therefore, the aim of the current study was to evaluate the effects of LLLT on improving orthodontic functional treatment using the Twin-Block (TB) appliance. Materials and methods This study was a three-arm, parallel-group randomized controlled trial. Patients were selected using the following inclusion criteria: skeletal Class II Division 1 malocclusion resulting from mandibular retrognathia (angle between the anterior cranial base and the NB plane (i.e., SNB angle): 73°-78°), the sagittal skeletal discrepancy angle (ANB angle) between 4° and 9°, and overjet between 5 and 9 mm. Forty-eight patients were randomly allocated into three equal groups. In the LLLT-TB group, the low-level laser device was used with a wavelength of 808 nm and power of 250 mW in addition to functional treatment with a Twin-Block appliance. The laser was applied on the skin at the bilateral temporomandibular joint (TMJ) regions, at five points, each point received 5 J of the laser for 20 seconds. The laser course was twice a week in the first month, every two weeks in the second month, and every three weeks up to the end of the treatment. The second group (the TB group) received functional treatment with a Twin-Block appliance, while patients in the third group (the untreated control group (UCG)) were observed for nine months without any intervention. Results There were statistically significant differences in treatment periods between the LLLT-TB group and the TB group (129 days and 235 days, respectively, P-value<0.001). The change in the effective mandibular length (Co-Gn) was the highest in the LLLT-TB group compared with the TB and the UCG groups (4.41 mm, 3.66 mm, and 1.07 mm, respectively; P-value<0.001). Conclusions The application of low-level laser therapy on the condylar regions accelerated the functional treatment in skeletal Class II malocclusion patients by approximately 45% and increased the bone growth and mandibular length. The improvement in the SNB angle was similar in both interventional groups. Irradiation of low-level laser stimulated bone growth at the condyles and did not cause anterior movement of the temporomandibular joint following functional orthopedic correction.
Analyzing Performance of Banks in India: A Robust Regression Analysis Approach

This research aims to analyze the impact of bank performance determinants on bank performance by applying robust regression analysis. For this, the relationship between return on assets and net interest margin with bank performance determinants has been discussed using robust regression. Robust regression offers a better and more realistic analysis owing to reducing the impact of outliers and influential data, and it is recommended for more precise results.
Early Change in Area Strain Detected by 3D Speckle Tracking Is Associated With Subsequent Cardiotoxicity in Patients Treated With Low Doses of Anthracyclines

Objective To evaluate the prognostic impact of the parameters of myocardial deformation using three-dimensional speckle tracking echocardiography (3DSTE) in patients with breast cancer who underwent chemotherapy with low doses of anthracyclines. Background Chemotherapy-related cardiotoxicity has an important prognostic impact on cancer survivors. Three-dimensional STE has revealed more consistent data than two-dimensional techniques and may represent a more accurate tool in the evaluation of myocardial function in patients who underwent chemotherapy. Methods We evaluated patients with breast cancer who were treated with anthracyclines (associated or not with trastuzumab) in five stages: baseline, after cumulative doses of 120 and 240 mg/m2 of doxorubicin, and then, after 6 months and at least 1 year after anthracyclines. Ultrasensitive troponin I (US-TnI) and a standard echocardiography study were performed at each stage. We analyzed left ventricular ejection fraction (LVEF) by Simpson's method, two-dimensional speckle tracking (2DSTE) with longitudinal and radial strain values, and 3DSTE with longitudinal, radial, and circumferential strain as well as twist, torsion, rotation, and three-dimensional global area strain (3DGAS). Cardiotoxicity was defined as a decrease in LVEF by more than 10 percentage points to a value lower than 53%. Results We evaluated 51 female patients who were aged 50.6 ± 11 years. After the cumulative dose of 240 mg/m2 of doxorubicin, US-TnI was increased (>34 pg/ml) in 21 patients (45%, p > 0.001), LVEF remained unchanged (p = 0.178), while 2DSTE longitudinal strain was decreased (from −17.8% to −17.1%, p < 0.001) and 3DSTE detected changes in longitudinal, radial, circumferential, and area strain. After a lower cumulative dose of doxorubicin (120 mg/m2), 3DGAS (p < 0.001) was the only parameter that was changed. In the follow-up, 7 (13%) patients presented a decrease in LVEF. Three-dimensional GAS early changed to abnormal values was the only variable associated with a subsequent decrease in LVEF (definitive cardiotoxicity). Conclusion In patients with breast cancer, 3DSTE detected early changes in area strain after very low doses of doxorubicin. The 3DGAS early changed to abnormal values was associated with a subsequent decrease in LVEF, representing a promising technique to predict chemotherapy-induced cardiomyopathy.
Greenland tidewater glacier advanced rapidly during era of Norse settlement

Our ability to improve prognostic modeling of the Greenland Ice Sheet relies on understanding the long-term relationships between climate and mass flux (via iceberg calving) from marine-terminating tidewater glaciers (TWGs). Observations of recent TWG behavior are widely available, but long-term records of TWG advance are currently lacking. We present glacial geomorphological, sedimentological, archaeological, and modeling data to reconstruct the ~20 km advance of Kangiata Nunaata Sermia (KNS; the largest tidewater glacier in southwest Greenland) during the first half of the past millennium. The data show that KNS advanced ~15 km during the 12th and 13th centuries CE at a rate of ~115 m a–1, contemporaneous with regional climate cooling toward the Little Ice Age and comparable to rates of TWG retreat witnessed over the past ~200 years. Presence of Norse farmsteads proximal to KNS demonstrates their resilience to climate change, manifest as a rapidly advancing TWG in a cooling climate. The results place limits on the magnitude of ice-margin advance and demonstrate TWG sensitivity to climate cooling as well as warming. These data combined with our grounding-line stability analysis provide a long-term record that validates approaches to numerical modeling aiming to link calving to climate.
Interobserver Reliability of Magnetic Resonance Imaging of Sacroiliac Joints in Axial Spondyloarthritis

Introduction: Axial spondyloarthritis (axSpA) is characterized by damage to the axial skeleton and entheses, and is often associated with extra-articular manifestations, in the presence of the human leukocyte antigen (HLA) B27. The aim of our study is to assess the performance of rheumatologists in interpreting the inflammatory and structural damage to sacroiliac joints, in comparison to radiologists. Material and Methods: The present study included a total of 34 patients diagnosed with axSpA, according to the Assessment of SpondyloArthritis International Society (ASAS) criteria for axSpA, examined from January 2021 to November 2021 in the Departments of Rheumatology and Radiology and Medical Imaging of the University of Medicine and Pharmacy of Craiova. All patients underwent physical examination, laboratory tests, and magnetic resonance imaging (MRI) of the sacroiliac joints. The images were interpreted by a senior radiologist (SR), a junior radiologist (JR), a senior rheumatologist (SRh), and a junior rheumatologist (JRh), who were blinded to the clinical and paraclinical data. Results: The overall κ was 0.7 for the JR (substantial agreement), 0.707 for the SRh (substantial agreement), and 0.601 for the JRh (moderate agreement), in comparison with the SR. Regarding the overall inflammatory changes, the SRh and JR were proven to have substantial agreement (κ = 0.708 and 0.742, respectively) with the SR, while the JRh was proven to have moderate agreement (κ = 0.607). The structural damage observed by the JR showed substantial agreement (κ = 0.676) with the SR, while the SRh and JRh had substantial and moderate agreement (κ = 0.705 and 0.596, respectively) with the SR. Conclusions: Our study showed substantial agreement between the senior radiologist, senior rheumatologist, and junior radiologist, and moderate agreement with the junior rheumatologist.
Can Contrast-Enhanced Spectral Mammography (CESM) Reduce Benign Breast Biopsy?

Objectives To evaluate the potential of contrast-enhanced spectral mammography (CESM) in reducing benign breast biopsy rate, thereby improving resource utilization. To explore its potential as a value-adding modality in the management of BI-RADS 4/5 lesions. Materials and Methods This was a prospective study conducted between July 2016 and September 2018. Patients with BI-RADS 4/5 lesions detected on conventional imaging (mammogram, digital breast tomosynthesis, and ultrasound) were enrolled for adjunct CESM. Histopathologic correlation was done for all lesions. Additional suspicious lesions detected on CESM were all identified on second-look ultrasound and subsequently biopsied. Images were evaluated independently by two radiologists trained in breast imaging using BI-RADS classification. Presence of enhancement on CESM, BI-RADS score, and histopathology of each lesion were analyzed and tested with the chi-square/fisher-exact test for statistical significance. Results The study included 105 lesions in 63 participants—1 man and 62 women, an average age of 53.7 ± 10.8 years. On CESM, 22 (20.9%) of the lesions did not show enhancement. All 22 lesions had been classified as BI-RADS 4A and were subsequently proven to be benign. Of the remaining 83 enhancing lesions, 54 (65.1%) were malignant and 29 (34.9%) were benign (p < 0.05). CESM detected 6 additional lesions which were not identified on initial conventional imaging. Four of these were proven malignant and were in a different quadrant than the primary lesion investigated. Conclusion There is evidence that the absence of enhancement in CESM strongly favors benignity. It may provide the reporting radiologist with greater confidence in imaging assessment, especially in BI-RADS 4A cases, where a proportion of them are in actuality BI-RADS 3. Greater accuracy of BI-RADS grading can reduce nearly half of benign biopsies and allow better resource allocation. CESM also increases the detection rate of potentially malignant lesions, thereby changing the treatment strategies.