Miracle-dz/UniFAR-FTUs huggingface dataset:
Screening with Multitasking

What happens when employers screen their employees but only observe a subset of output? We specify a model with heterogeneous employees and show that their response to the screening affects output in both the probationary period and the post-probationary period. The post-probationary impact is due to their heterogeneous responses affecting which individuals are retained and hence the screening efficiency. We show that the impact of the endogenous response on both the unobserved outcome and screening efficiency depends on whether increased effort on one task increases or decreases the marginal cost of effort on the other task. If the response decreases unobserved output in the probationary period then it increases the screening efficiency, and vice versa. We then assess these predictions empirically by studying a change to teacher tenure policy in New York City, which increased the role that a single measure – test score valueadded – played in tenure decisions. We show that in response to the policy teachers increased test score value-added and decreased output that did not enter the tenure decision. The increase in test score value-added was largest for the teachers with more ability to improve students’ untargeted outcomes, increasing their likelihood of getting tenure. We estimate that the endogenous response to the policy announcement reduced the screening efficiency gap – defined as the reduction of screening efficiency stemming from the partial observability of output – by 28%, effectively shifting some of the cost of partial observability from the post-tenure period to the pre-tenure period. ∗We thank Ran Abramitzky, Timothy Bresnahan, Raj Chetty, Liran Einav, Caroline Hoxby, Susanna Loeb, and Derek Neal for their early comments on the paper. We also thank conference participants at 2017 APPAM and 2017 AEFP and seminar participants at Brown University, the New York Federal Reserve, University of California Irvine, and the University of Chicago Committee on Education for their helpful comments. We also thank Andrew McEachin, Christine Mulhern, and Lisa Abraham for their helpful feedback. We thank Terry Culpepper, Yiren Ding, Elena Istomina, Jora Li, and Jasper Snowden for research assistance. The research reported here was supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305A190148. The opinions expressed are those of the authors and do not represent views of the Institute or the U.S. Department of Education. † Kenneth C. Griffin Department of Economics, University of Chicago, NBER, and CESifo. Email: mdinerstein@uchicago.edu. ‡ RAND Corporation. Email: iopper@rand.org. Dinerstein and Opper
The renormalisation group for the truncated conformal space approach on the cylinder

In this paper we continue the study of the truncated conformal space approach to perturbed conformal field theories, this time applied to bulk perturbations and focusing on the leading truncation-dependent corrections to the spectrum. We find expressions for the leading terms in the ground state energy divergence, the coupling constant renormalisation and the energy rescaling. We apply these methods to problems treated in two seminal papers and show how these RG improvements greatly increase the predictive power of the TCSA approach. One important outcome is that the TCSA spectrum of excitations is predicted not to converge for perturbations of conformal weight greater than 3/4, but the ratios of excitation energies should converge.
Effect of silver on structural, optical, and electrical properties of ZnO:Al/Ag/ZnO:Al thin films

In this work, thin films with a ZnO:Al/Ag/ZnO:Al multilayer structure were deposited by radio frequency (RF) and pulsed DC sources in a magnetron sputtering system on glass substrates at 50 °C with different deposition times of the Ag layer. The results showed that the thin films' properties improved with increasing the deposition time of the silver metallic interlayer and with thermal treatment at 300 °C for one hour. The highest average transmittance in the visible range was 89 %. The best values of resistivity and conductivity were 10-4 Ω·cm and 103 Ω-1cm-1, respectively. Finally, the XRD patterns showed that with an increase in the Ag layer's deposition time, the plane's peak (111) belonging to the Ag plane was observed.
A critique of building a developmental state in the EPRDF's Ethiopia

ABSTRACT This article explores the main features of Ethiopia's ‘developmental state’ and takes a critical look at how the model is applied in practice, capturing parallels and contradictions through comparative evidence with that of the East Asia model. Accordingly, it notes that the East Asian model has a strong ideological influence on the Ethiopian People's Revolutionary Democratic Front (EPRDF) regime, allowing it to formulate a strong vision of development, but this, although it contributed to economic growth, failed to ensure democracy and stability in the country. It argues that land grabbing and political instability are the biggest threats to Ethiopia's development prospects.
Diversifying Representations of Female Scientists on Social Media: A Case Study From the Women Doing Science Instagram

In the absence of real-life role models, women scientists portrayed in the media enable young women to imagine themselves as future scientists. Both traditional media and social media have the potential to provide role models, but their representations of scientists reinforce, rather than challenge, long-standing gendered stereotypes. Women Doing Science, a social media effort, was founded by the authors to address this representation gap by sharing daily photos of diverse women in science, technology, engineering, and math (STEM) with accompanying research descriptions in English and in other languages. To date, Women Doing Science has highlighted over 800 scientists to an audience of ~100,000 followers from around the world, who are primarily women in undergraduate and graduate STEM degree programs. Here, we evaluate the success of the Women Doing Science Instagram page in portraying women scientists with diverse racial and national identities. Furthermore, we explore which aspects of posts drive higher engagement from the audience. We find that our Instagram audience has higher engagement with posts featuring Women of Color, multiple languages, and posts that challenge stereotypes associated with women in STEM. In addition, we find that Women of Color are more likely to include additional aspects of their identity in their biographies, and that a primary reason our audience follows the page is because of the diversity portrayed in the posts. These results imply the powerful potential for social media platforms like Instagram to source diverse role models that expand conventional images of STEM professionals and allow international audiences to develop their STEM identities.
Influence of Guide Vane Profile Change on Draft Tube Flow Characteristics of Water Pump Turbine

In order to study the influence of the change of the guide vane airfoil on the flow characteristics in the draft tube of a reversible hydraulic turbine, a reversible hydraulic turbine was used as the object of study, and the effect of the change on the flow pattern, energy loss, and pressure pulsation in the draft tube area was studied based on the SST k-ω turbulence model. The results show that under low flow conditions, the modified movable guide vane directly affects the direction and speed of water entering the draft tube, reduces the density of vortex in the draft tube area, reduces the impact on the near wall of the draft tube during the rotation of the vortex belt, and improves the stability of the unit operation. The turbulent energy comparison graph shows that the energy loss in the bent elbow section and the diffusion section of the draft tube is reduced, and the energy return coefficient of the draft tube is improved by calculating that the energy recovery level of the draft tube is improved under different operating conditions. A comparative analysis of the pressure pulsation in the draft tube area before and after the modification in combination with the development of the vortex belt shows that the modified movable guide vane effectively reduces the vibration intensity in the draft tube area and improves the stable operation threshold of the unit.
Machine Learning and Deep Learning Techniques For Genre Classification of Bangla Music

Music genre classification is extremely important for both music recommendation and acquisition of music data, as well as for music discovery. There have already been a vast amount of researches conducted on the classification of music genres using various machine learning algorithms. Despite the fact that Bangla music is extremely diverse in terms of its own style, there has been little notable work done to date to categorize song genres in Bangla music using machine learning approaches. There are numerous varieties and modes of Bangla music, all of which may be categorised into different classes by their musical compositions. The dataset we use contains six different Bangla music genres. There are several unique attributes for each song which is included in the dataset, including zero crossing value, delta, chroma frequency, spectral roll-off, spectral bandwidth, and many others. Several machine learning models, as well as a deep learning technique, are proposed in this paper for classi-fying Bangla musics into multi-class classification. To train the supervised learning models, we used dimentionality reduction and feature scaling to increase the performance. Finally, our models are evaluated using f'l-score, recall, accuracy and precision. As can be observed, the implemented deep neural network model was able to reach an accuracy of 77.68 percent.
Low-Computation Tracking Control of Nonlinear Systems With Asymmetric Full-State Constraints and Unknown Control Directions

This article considers the tracking control problem for an uncertain feedback nonlinear system with asymmetric time-varying full-state constraints and unknown control directions. We propose a new low-computation full-state constrained robust control algorithm, that removes the feasibility conditions of virtual controllers and solves the unknown control direction problem without using the Nussbaum gain technique. By introducing nonlinear transformation functions, the original constrained systems are converted into new unconstrained tracking error systems, and the new systems eliminate the limitation of the initial conditions. Then, to seek the correct control directions, an orientation function with error conversion is constructed, which avoids introducing Nussbaum-type functions and logic switching rules. The proposed method possesses inherent robustness against model uncertainties and disturbances, and guarantees that the full-state constraints and the tracking error of systems enter into a prescribed set in a fixed time. Finally, simulation examples are presented to demonstrate the superiority and effectiveness of the developed control algorithm.
Peptide nucleic acids (PNAs) and locked nucleic acids (LNAs) application in bacterial gene editing and biosensor production

Nucleic acid analogues are used in protein synthesis, as their effects on gene expression are confirmed, and play a crucial and important role during transcriptional and posttranscriptional processes in the cell. Due to the many remaining challenges associated with genetic engineering, current research mainly focuses on new materials such as peptide nucleic acids [PNA] and locked nucleic acids [LNA]. PNAs and LNAs have been developed to mimic the chemical characteristics of DNA and RNA and to show improved properties. They represent synthetic DN/RNA analogues in which the phosphodiester backbone is replaced with unchanged aminoethylglycine units, being very resistant to enzymatic degradation by proteases and nucleases. This review summarizes the application of nucleic acid analogues in the inhibition of gene expression in bacterial genomes, as well as the usage in the development of high-performance affinity biosensors.
Mechanical characteristics of laminated film vibrator using an ultra-thin MEMS actuator

This paper describes fabrication of a laminated film vibrator that uses an ultra-thin micro-electric mechanical system (MEMS) and the effect of lamination on the actuator. The thickness of the ultra-thin MEMS actuator fabricated by ultra-thin MEMS technology was 7.26 µm, making it especially flexible. The vibrator was actuated by applying voltage on a lead zirconate titanate (PZT) thin film. Then, we applied a lamination method to package the actuator. However, the lamination structure influenced the mechanical characteristics of the vibrator. Therefore, we evaluated the effect of the lamination structure on the static and dynamic characteristics of the laminated film vibrator. Four types of laminated film vibrators with different layer structures were prepared, and their displacements and velocity were measured when DC and AC voltages were applied. The maximum displacement of the cantilevers constructed from the laminated film vibrator (PZT: 11 mm × 11 mm) was 113.3 µm at 40 V DC. This result is in good agreement with the calculated result. Furthermore, the dynamic characteristics from both the experimental and simulated results confirmed that the resonant frequency of the laminated film vibrator depends on the film structure. This means the dynamic characteristics can be adjusted to suit the application. Applications of this laminated film actuator include use as a flexible hybrid electronics haptic device for monitoring vital signs.
Multiview clustering via nonnegative matrix factorization based on graph agreement

Abstract. With the rapid development of information technology, one object can usually be described by multiple views. Intuitively, the diversity and complementarity of different views provide a more comprehensive data description, which can lead to better performance on multiview clustering tasks. Motivated by the fact that how to fully discover diversity and complementary information across views is the key point to deal with multiview clustering, we propose a multiview learning method, termed as graph-agreement nonnegative matrix factorization (GANMF). GANMF attempts to implement this goal based on matrix factorization technology while exploiting the rich multiview information based on the intra- and interview aspects. Specifically, the graph agreement between representation space and raw space is maximized to preserve the intrinsic geometric property in individual view for the intraview case. Similarly, the graph structures in different views are expected to keep consistent with each other by minimizing the divergence between pairwise views. To this end, the intrinsic information and geometric structure information in the intraview case and complementary and compatibility information in the interview case can be simultaneously formulated into one framework. To solve the proposed GANMF, we correspondingly develop an effective algorithm based on iterative alternating strategy. Extensive experimental results on seven multiview datasets demonstrate the superiority and effectiveness of our proposed method.
Generalized Accelerated Failure Time Models for Recurrent Events

For analyzing recurrent event data, we consider a generalization of the classical accelerated failure time model. In the proposed approach, the general function is no longer assumed to be a singleton but allowed to be time-varying. This is in the same spirit as in quantile regression and the counting process techniques can be utilized. Theoretical properties such as consistency and asymptotic normality are obtained. The illustration of the methodology using simulation studies and then the application to the bladder cancer data is also given.
3D Measurement Method for Saturated Highlight Characteristics on Surface of Fuel Nozzle

Saturated highlights on metal surfaces reduce the detection accuracy of fuel nozzles. In this paper, we propose an image inpainting method with a saturated highlight based on the statistics of similar patches used in prior segmentation of the subregion. The sequence image acquisition is based on the shape from focus in the five-axis platform. By our method, the focus measure (FM) operator and the window size are evaluated using the sharpness evaluation curve and calculating time. We observe that the detection accuracy is improved when the highlight area is filled by the highlight-free area within the same segmentation region. There are fewer deviation points in the three-dimensional (3D) point cloud that are extracted from the sequence images. The inlet circle and the outlet circle of the fuel nozzle are both detected by the two-dimensional (2D) Hough Transform (HT) method. Our experiments show that the method yields better results in 3D detection of the key parameters of fuel nozzles with the saturated highlight characteristics.
The Significance of the Thermal Number in Metal Machining

The theoretical analysis of heat flow in conjunction with cutting data in high-speed orthogonal metal-machining operations reveals that, for a given tool rake, the temperature distribution along the shear plane is solely dependent on the thermal number, Vct/k. An explanation is offered for the difference in chip curvature as the cutting conditions are changed. Further significance of the thermal number in metal machining is presented.
Effectiveness of high- and low-fidelity simulation-based medical education in teaching cardiac auscultation: a systematic review and meta-analysis

Simulation-based medical education (SBME) is an evolving method of teaching cardiac examination skills to healthcare learners. It has been deliberated how effective this teaching modality is and whether high-fidelity methods are more effective than low-fidelity methods. This systematic review aimed to assess the effectiveness of high-fidelity SBME in teaching cardiac auscultation compared with no intervention or another active teaching intervention (low-fidelity SBME) using evidence from randomized controlled trials (RCTs). Literature searches were performed on Medline, Embase, PsychInfo and Cinahl. RCTs that compared the effectiveness of high-fidelity simulation against no intervention or high-fidelity simulation against low-fidelity simulation in teaching cardiac auscultation to healthcare learners were included. Outcomes were knowledge, skills and satisfaction relating to cardiac auscultation education. Data were analyzed using Review Manager 5.3 software. Seventeen RCTs (n = 1055) were included. Twelve RCTs (n = 692) compared high-fidelity simulation with no intervention. The pooled effect sizes for knowledge and skills were 1.39 (95% confidence interval [CI], 0.39–2.38; This review’s findings suggest that high-fidelity SBME is an effective teaching method for cardiac auscultation education. Interestingly, there was no significant difference in knowledge or skills among learners when comparing high-fidelity simulation with low-fidelity simulation. Further research is needed to establish the effectiveness of different forms of SBME as educational interventions.
Anti-melanoma effect and action mechanism of a novel chitosan-based composite hydrogel containing hydroxyapatite nanoparticles

Abstract Hydroxyapatite nanoparticles (HANPs) have been increasingly regarded and reported due to their potential anti-tumor ability. Previously, we found that the rod-like HANPs had good application potential for cutaneous melanoma (CMM). To satisfy the actual requirements in repairing post-operative skin defects and inhibiting CMM recurrence after tumorectomy, we constructed a novel chitosan/alginate (CS/Alg) hydrogel containing the aforementioned HANPs. The in vitro cell experiments confirmed that activated mitochondrial-dependent apoptosis was tightly related to the anti-tumor ability of HANPs. Specifically, we further discovered several target proteins might be involved in abnormal activating Wnt, proteoglycans in cancer, oxidative phosphorylation and p53 signaling pathways. The in vivo animal experiments demonstrated that the HANPs-loaded CS/Alg hydrogel (CS/Alg/HANPs) had a similar effect on inhibiting tumor growth as HANPs, and CS/Alg hydrogel as well as phosphate buffered saline (PBS) group (control) not showed any effect, proving the key role of HANPs. The immunohistochemical staining demonstrated a tumor inhibition via the mitochondria-mediated apoptosis pathway, consistent with the in vitro evaluation. Moreover, CS/Alg/HANPs exhibited no additional biosafety risk to the functions of major organs. Overall, this CS/Alg/HANPs hydrogel has substantial application potential for treating CMM.
Focus on High School: Factors Associated with Creating Harmony between the Educational Transition and Adolescents’ Well-Being

The transition from online to on-site education was difficult due to a lack of standardized school guidance for school reopening. Even though schools have reopened, uncertainty about the COVID-19 situation and the capacity of the school to maintain safe school operations to mitigate risks may increase hesitancy among students and parents to participate in on-site studying. Rapid-response surveys of students and parents can provide information to stakeholders on how learning and well-being can best be supported during the educational transition in each context. The aim of this study was to explore the hesitancy of high-school students and the factors that influenced their hesitancy to return to school on site. An online cross-sectional survey was distributed to high-school students in an urban district of Chiang Mai, Thailand, during the fourth wave of the pandemic from 17 November to 13 December 2021. A multivariable logistic regression was performed to explore factors related to the students’ hesitancy to attend on-site education. With a response rate of 10.2% of the targeted study population, the 1266 participants revealed that 15.9% of them had very-high- and extremely high-level hesitancy to study on site, which was associated with less negative moods while studying online (aOR, 1.69; p, 0.016) and a greater fear of infection after returning to school (aOR, 2.95; p, 0.001). Increased readiness to return to school on site (aOR, 0.28; p, 0.001) and discussing COVID-19 prevention with family or friends (aOR, 0.71; p, 0.016) were also associated with a lower hesitancy of students. Only 5.6% of the students reported being hesitant to receive the COVID-19 vaccination. However, no significant associations were found between schooling hesitancy and their willingness to get vaccinated, nor the frequency of students’ outside activities. High-school students who experience negative moods during online studying should be monitored and receive additional support if the reopening is postponed. More opportunities to discuss COVID-19 prevention with family or friends, as well as a higher level of readiness, may increase the willingness to return to school on site. Local authorities and schools need to strengthen communication and coordination mechanisms to reduce parents’ and students’ schooling hesitancy by providing explicit information about the COVID-19 situation and risk-mitigation measures, along with normalizing messages about fear and anxiety.