Miracle-dz/UniFAR-FTUs huggingface dataset:
NBER WORKING PAPER SERIES MEASURING THE IMPACTS OF TEACHERS II: TEACHER VALUE-ADDED AND STUDENT OUTCOMES IN ADULTHOOD

Are teachers' impacts on students' test scores ("value-added") a good measure of their quality? This question has sparked debate partly because of a lack of evidence on whether high value-added (VA) teachers who raise students' test scores improve students' long-term outcomes. Using school district and tax records for more than one million children, we find that students assigned to high-VA teachers in primary school are more likely to attend college, earn higher salaries, live in higher SES neighborhoods, and have higher savings rates. They are also less likely to have children as teenagers. Teachers have substantial impacts in all grades from 4 to 8. On average, a one standard deviation improvement in teacher VA in a single grade raises earnings by 1.3% at age 28. Replacing a teacher whose VA is in the bottom 5% with an average teacher would increase the present value of students' lifetime income by approximately $250,000 per classroom. Raj Chetty Department of Economics Harvard University 1805 Cambridge St. Cambridge, MA 02138 and NBER chetty@fas.harvard.edu John N. Friedman Harvard Kennedy School Taubman 356 79 JFK St. Cambridge, MA 02138 john_friedman@harvard.edu Jonah E. Rockoff Columbia University Graduate School of Business 3022 Broadway #603 New York, NY 10027-6903 and NBER jonah.rockoff@columbia.edu
Early Outcomes of Using Radial Artery in Coronary Artery Bypass Surgery in Cairo University Hospitals

Background: Using arterial grafts is commonly associated with good outcome. Using left internal mammary artery and radial artery can achieve complete arterial revascularization of left coronary system by using sequential grafting or multiple Y Technique. Objective: We present our experience in using internal mammary artery and radial artery (RA) Y-graft in 100 patients. Patients and Methods: Between February 2016 and January 2019, 100 patients (aged 45-60 years) with the diagnosis of multi-vessel disease underwent complete arterial revascularization using left internal mammary artery (LIMA) and RA. We used the technique of RA (Y) or (T) graft on LIMA to revascularize left coronary system; we did multiple (Y) or (T) graft or sequential grafts. Results The operating time was 220±20 minutes in average, the bypass time was (92.5 ± 16.7) minutes, and cross-clamp time was (70.6 ± 20.6 minutes). LIMA was anastomosed to the left anterior descending coronary artery (LAD) system in all patients. RA Y-graft was anastomosed to LIMA in all patients. Sequential grating using RA was done in 20 patients. The mean ICU stay of the patients was (2.2 ± 0.5 days). Mean hours of mechanical ventilation was (14.3 ± 2.9). Four patients required re-exploration for bleeding. 66 patients needed blood transfusion. 45 patients required inotropes. Conclusions: RA can be used safely with LIMA to revascularize left coronary territory using sequential grafts or multiple (Y) grafts. This method allows for complete arterial grafting in multi-vessel disease using only single IMA and RA grafts with good early results.
Discussing the Relationships between Consumer Experiential Value, Celebrity Endorsement and Brand Resonance – Case Study of the STAYREAL Brand

Based on the perspective of concert experience marketing, this research explores whether consumers resonate with the brand STAYREAL through celebrity endorsements while using the P-O-X theory as the research’s structure. Research subjects are audiences who have participated in the Mayday concerts. Mall-intercepts method with intentional sampling is used and questionnaires were distributed at the “Super Slippa– part 9” and “The Great Nobody” of 831 rock band in 2018 at the Taipei Arena. 422 valid questionnaires were returned from the 469 distributed. Data were analyzed using the statistical software SPSS19.0 and it was found that: 1. Experience value has a significant positive impact on celebrity endorsements; 2. Experience value has a significant positive impact on brand resonance. 3. Celebrity endorsements have a significant positive impact on brand resonance; 4. Celebrity endorsements have a partial intermediary effect between experience value and brand resonance, which proves that P-O-X is in a balanced state. In order to reach a stage of consumers’ resonance with the brand, future research can examine the utility factors such as brand attributes in price, design, fabric, comfort, color, etc. at the same time.
Introduction of a Novel MoM Solution for 2-D Source-type EFIE in MI Problems

This paper presents a novel formulation and consequently a new solution for two dimensional TM electromagnetic integral equations by the method of moments in polar coordination. The main idea is the reformulation of the 2-D problem according to addition theorem for Hankel functions that appear in Green function of 2-D homogeneous media. In this regard, recursive formulas in spatial frequency domain are derived and the scattering field is rewritten into inward and outward components and, then, the primary 2-D problem can be solved using 1D FFT in the stabilized biconjugate-gradient fast Fourier transform BCGS-FFT algorithm. Because the emerging method obtains 1D FFT over a circle, there is no need to expand an object region by zero padding, whereas it is necessary for conventional 2D FFT approach. Therefore, the method saves lots of memory and time over the conventional approach. other interesting aspect of the proposed method is that the field on a circle outside a scattering object, can be calculated efficiently using an analytical formula. This is, particularly, attractive in electromagnetic inverse scattering problems and microwave imaging. The numerical examples for 2-D TM problems demonstrate merits of proposed technique in terms of the accuracy and computational efficiency.
Missense Variation in TPP1 Gene causes Neuronal Ceroid Lipofuscinosis Type 2 in a Family from Jammu and Kashmir-India

We report diagnosis of Neuronal Ceroid Lipofuscinosis Type 2 (CLN2), a rare, hereditary neurodegenerative disease of childhood, in a four and a half year old girl, the first child of nonconsanguineous parents with no family history. Despite extensive efforts by the parents, her clinical condition remained undiagnosed and without management, until recently. Our published “Bottom-up Approach”, based on comprehensive and multidisciplinary clinical, pathological, radiographical and genetic evaluations, played key role in diagnosis of the disease. Detailed analyses involving Next Generation Sequencing confirmed a missense variation NC_00011. 10:g.6616374C>T (NP_000382.3:p.Arg339Gln; rs765380155) in exon 8 of TPP1 gene. In silico analyses predicted it to be highly pathogenic. Further family screening (including her both unaffected parents and asymptomatic, one year old younger sister) of the identified variation through Sanger Sequencing, revealed a perfect autosomal recessive segregation in the family. This study is the first case report on classic CLN2 from Jammu and Kashmir-India. This study is also indicating the effectiveness of our “Bottom-up Approach” in understanding rare disorders in low resource regions and the importance of timely diagnosis. Like in the proband, had diagnosis been established a bit early, the family might have benefitted at least with reference to their second child through counselling programmes.
Pendekatan Integratif terhadap Faktor yang Mempengaruhi Intensi Buruh untuk Mengikuti Aksi Kolektif

This research attempts to build a structural model based on an integrative approach to explain labor i ntention to participate in collective action. This research is relevant as most of the existing theories and appro aches explain the collective action phenomena partially. The main obj ective of this research is to analyze the integrati ve approach of psychological social psychology (individual factors ), ociological social psychology (inter-group rela tion factors) and social constructionism (societal factor) in explain ing labor intention to participate in collective ac tion, such as demonstrations and labor strikes. This integrative approach research tested a theoretically derived pa ttern of specific relationship between individual level of analysis, inter-group relation and societal or ideological le vel of analysis where each level of analysis was represented by one or mo re theories. The research model proposes three exog enous latent variables namely: social representation, organizati on l commitment and union commitment, and four endo gen us latent variables that are: social identity, relative depri vation, expectancy-value motives and intention to p articipate in collective action. These research findings proved t hat an integrative approach model which was represe nt d by expectancy-value motives (individual level), both r elative deprivation and social identity (inter-grou p level) and social representation (societal level) explain the labor i ntention participating in collective action was sig nificant in non participant sample. On the other hand, in participa nt s mple there were only two factors namely intergroup relation and societal context which explain the emerging of the labor intention participating in collective action.
Spell corrector for Bangla language using Norvig’s algorithm and Jaro-Winkler distance

In the Online World, especially in the social media platform most of us write without much regard to correct spelling and grammar. The spelling mistakes are much larger in proportion when it comes to Bangla language. In our paper, we presented a method for error detection and correction in Bangla words' spellings. Our system could detect a misspelled Bangla word and provide two following services- suggesting correct spellings for the word and correcting the word. We had used Norvig's Algorithm for the purpose but instead of using probabilities of the words to prepare the suggestions and corrections, we had used Jaro-Winkler distance. The previous works done in this field for Bangla language are either very slow or offers less accuracy. Our system successfully achieved a 97% accuracy when evaluated with 1000 Bangla words.
Privacy Preserving Collaborative Machine Learning

Collaborative machine learning is a promising paradigm that allows multiple participants to jointly train a machine learning model without exposing their private datasets to other parties. Although collaborative machine learning is more privacy-friendly compared with conventional machine learning methods, the intermediate model parameters exchanged among di ﬀ erent participants in the training process may still reveal sensitive information about participants’ local datasets. In this paper, we introduce a novel privacy-preserving collaborative machine learning mechanism by utilizing two non-colluding servers to perform secure aggregation of the intermediate parameters from participants. Compared with other existing solutions, our solution can achieve the same level of accuracy while incurring signiﬁcantly lower computational cost.
Multi-agent System based on Blackboard System for Soccer Robot Implementation

: This paper reveals the utilization of the multi–agent system that based on the Blackboard system basis as the controller of Soccer Robot. This system is a portion of developing the Soccer Robot team for Robocup 2004 Competition. In this development, the intelligent control system was initiated by the combination of parallel and distributed blackboard structures with the principle design that generated from human body structures, which consists of the combination of two main systems, the organs system and the brain system. The system is designed using the control system theory based on Blackboard basis. Modification of the initial structures to corroborate the Soccer Robot and the structure’s constituents are clarified accordingly. To demonstrate the idea, ITE–Gold team is given as a case study.
Design of Sliding-mode Observer for Robust Speed Sensorless Induction MotorDrive

In this paper, the design of a speed sensorless vector control system for induction motor is performed by using a new sliding mode technique based on current model flux observer. A current and flux observer based on the current estimation error is constructed. The proposed current observer includes a sliding mode function, which is derivative of the flux. That is, sliding mode observer which allows the estimation of both the rotor speed and flux based on the measurement of motor terminal quantities, would be proposed. And, a synergetic speed controller using the estimated speed signal is designed to stabilize the speed loop. Simulation results are presented to confirm the theoretical analysis, and to show the system performance with different observer gains and the influence of the motor parameter.
Allogeneic stem cell transplantation remains an effective therapeutic approach for patients with therapy-related acute myeloid leukemia

Introduction: Therapy-related acute myeloid leukemia (t-AML) remains a late consequence of exposure to cytotoxic chemo- and/or radiotherapy for prior malignant or non-malignant disorders. The prognosis of t-AML is extremely poor, and allogeneic stem cell transplantation (allo-SCT) seems to be the most effective therapeutic approach.We evaluated the efficacy and safety of allo-SCT for t-AML preceded by solid tumors and lymphomas. Material and methods: Study patients were retrospectively identified using our institutional database. Nineteen patients (12 female, 7 male), median age 53 years, underwent allo-SCT for t-AML between 2006 and 2018. Results: Prior malignancy was diagnosed at median age of 43.9 years. Among 19 patients included in the study, 6 (32%) had prior breast cancer, 2 (11%) were diagnosed with papillary thyroid cancer, and 2 (11%) were treated for lymphoma. A variety of other cancers were diagnosed in the remaining 9 patients. Median time from previous malignancy to devel­opment of t-AML was 4.9 years. Fourteen patients (74%) were transplanted in first complete remission (CR1), 4 patients (21%) were in CR2, and 1 patient received graft being in active disease. 10 patients (53%) are alive at last contact in CR. Patients died mainly from infectious complications. Median follow-up from prior malignancy and from transplanta­tion was 9.5 years and 1.82 years, respectively. The 2-year overall survival (OS) was 57%. Median OS for survivors is 4.08 years. Grafts from unrelated donors and the presence of acute graft-versus-host disease affected OS. Conclusions: Allo-SCT remains an effective therapy for t-AML
Vanessa Homsy Thesis

Metamemory, knowledge of one’s memory capabilities, is an important measure for learning and cognitive functioning in addition to having clinical relevance, such as being used as a diagnostic tool in cognitive diseases. There have been mixed findings on the preservation of metamemory in age, though most research suggests that it is indeed preserved. However, research has not fully broached the question of whether males and females differ in metamemory accuracy with age. The current study analyzes sex differences in metamemory through an associative memory task. Participants (Males =14, Females =8) were asked to encode 120 word-picture pairs, with pictures being either of houses or faces. Judgements of learning (JOLs) were used after each association as a measure of their metamemory. The JOLs were categorized as either confident or not confident. After a series of behavioral tests, participants went into a functional magnetic resonance imaging machine (fMRI) for the retrieval portion, where they were shown learned words and had to choose the picture associate. Due to time constraints, fMRI scans were unable to be analyzed. A multiple linear regression model for the impact of sex, confidence, and the interaction of sex and confidence on percent correct at retrieval was performed. The model revealed that all three predictor variables, including sex (p < 0.01), were accurate predictors of percent correct at retrieval, with females having worse metamemory accuracy than males. The results provide novel evidence that metamemory preservation in age differs between the sexes. Due to the COVID-19 pandemic, the sample size of this study is small and thus future studies should further look into sex as a predictor of metamemory accuracy with age, as well as potential neural correlates such as gray matter volume and functional connectivity.
Towards Accurate Estimation of Error Sensitivity in Computer Systems

Fault injection is an increasingly important method for assessing, measuring and observing the system-level impact of hardware and software faults in computer systems. This thesis presents the results of a series of experimental studies in which fault injection was used to investigate the impact of bit-ﬂip errors on program execution. The studies were motivated by the fact that transient hardware faults in microprocessors can cause bit-ﬂip errors that can propagate to the microprocessors instruction set architecture registers and main memory. As the rate of such hardware faults is expected to increase with technology scaling, there is a need to better understand how these errors (known as ‘soft errors’) inﬂuence program execution, especially in safety-critical systems. Using ISA-level fault injection, we investigate how ﬁve aspects, or factors, inﬂuence the error sensitivity of a program. We deﬁne error sensitivity as the conditional probability that a bit-ﬂip error in live data in an ISA-register or main-memory word will cause a program to produce silent data corruption (SDC; i.e., an erroneous result). We also consider the estimation of a measure called SDC count , which represents the number of ISA-level bit ﬂips that cause an SDC. The ﬁve factors addressed are (a) the inputs processed by a program, (b) the level of compiler optimization, (c) the implementation of the program in the source code, (d) the fault model (single bit ﬂips vs double bit ﬂips) and (e) the fault-injection technique (inject-on-write vs inject-on-read). Our results show that these factors aﬀect the error sensitivity in many ways; some factors strongly impact the error sensitivity or SDC count whereas others show a weaker impact. For example, our experiments show that single bit ﬂips tend to cause SDCs more than double bit ﬂips; compiler optimization positively impacts the SDC count but not necessarily the error sensitivity; the error sensitivity varies between 20% and 50% among the programs we tested; and variations in input aﬀect the error sensitivity signiﬁcantly for most of the tested programs.
Spor Bilimleri Araştırmaları Dergisi

This study aimed to analyze the effects of an 8-week training with the elastic resistance bands on body composition and postural control in sedentary women. Thirty-four female sedentary university students participated in the study based on voluntariness. The subjects were randomly divided into two groups: The experimental group and the control group. The experimental group performed an 8-week elastic resistance band training. Body composition measurements included the body weight, body mass index, body fat percentage, skinfold thicknesses, and circumferences. The Overall Stability Index and limit of stability were measured to evaluate postural performance using the Biodex Balance System. The overall stability index scores were evaluated for two conditions: Eye-open and eye-closed. After the training, body weight, the circumferences of waist, upper arm, and calf significantly increased (p<0.05) although there was no change in the circumferences of the hip, thigh, shoulder, and chest (p>0.05). The skinfold thicknesses and body fat percentage decreased in the experimental group (p<0.05). The training caused the overall stability index scores to reduce in eye-open and eye-closed conditions. There was no significant difference in the limit of stability scores (p>0.05). In conclusion, these results show that elastic resistance band exercise could increase postural control and body composition in sedentary women. Also, the results suggest that the training might lower sedentary women’s body fat by increasing muscle mass.
A SIMULATION STUDY OF A NETWORK WITH SIX EXCHANGES

A simulation model g1v1ng the detailed represen tation of a network with six exchanges situated in the southern part of Norway, has been under study as a pilot project of TETRASIM [1]. The exchanges are of the types 8B from ITT, and ARM 20, ARM 50 and AKK 50 from L.M. Ericsson, com prising both local, transit and combined local/ transit exchanges. The traffic flow in this net work is about 1600 Erlang. Data has been collec ted for the network and 46 surrQunding exchanges, and the model generated and run by giving this data and appropriate specifications as input to the TETRASIM program system. During the simula tions, 80K 36-bit words were allocated on a Univac 1108. The CPU-time used per call was found to be about 40-70 ms.
Title: Cryo-EM Structures of the SARS-CoV-2 Endoribonuclease Nsp15 Authors

New therapeutics are urgently needed to inhibit SARS-CoV-2, the virus responsible for the ongoing Covid-19 pandemic. Nsp15, a uridine-specific endoribonuclease found in all coronaviruses, processes viral RNA to evade detection by RNA-activated host defense systems, making it a promising drug target. Previous work with SARS-CoV-1 established that Nsp15 is active as a hexamer, yet how Nsp15 recognizes and processes viral RNA remains unknown. Here we report a series of cryo-EM reconstructions of SARS-CoV-2 Nsp15. The UTP-bound cryo-EM reconstruction at 3.36 Å resolution provides molecular details into how critical residues within the Nsp15 active site recognize uridine and facilitate catalysis of the phosphodiester bond, whereas the apo-states reveal active site conformational heterogeneity. We further demonstrate the specificity and mechanism of nuclease activity by analyzing Nsp15 products using mass spectrometry. Collectively, these findings advance understanding of how Nsp15 processes viral RNA and provide a structural framework for the development of new therapeutics. 105 and is also made available for use under a CC0 license. (which was not certified by peer review) is the author/funder. This article is a US Government work. It is not subject to copyright under 17 USC The copyright holder for this preprint this version posted August 11, 2020. ; https://doi.org/10.1101/2020.08. 11.244863 doi: bioRxiv preprint
Microsoft Word-20210308 01. pioneers_j0303

In this paper, we empirically examine how export pioneers emerge and how they are related to product creators/innovators, utilizing a rich plant-product level dataset from the Korean manufacturing sector for the period of 1990-1998. Our analysis covers the process from the appearance of product creators as well as product imitators to the emergence of export pioneers. We find, first, that product imitators are larger, more productive and older than product creators. Second, most export pioneers are nevertheless found to be product creators. This result is largely due to the fact that almost all export pioneers export the products in the same year as product creation. Third, there are similarities as well as differences between product creators and export pioneers. Plants that are more productive or larger are more likely to become product creators as well as export pioneers. However, previous exporting experience positively affects the probability of export pioneering only, while plants’ engagement in R&D positively affects the probability of product creation only. We discuss possible explanations for our main empirical results as well as their policy implications.