Miracle-dz/UniFAR-FTUs huggingface dataset:
The Draw of Home: How Teachers' Preferences for Proximity Disadvantage Urban Schools

This paper explores a little understood aspect of labor markets, their spatial geography. Using data from New York State, we find teacher labor markets to be geographically very small. Teachers express preferences to teach close to where they grew up and, controlling for proximity, they prefer areas with characteristics similar to their hometown. We discuss implications of these preferences for the successful recruitment of teachers, including the potential benefits of local recruiting and training. We also discuss implications for the modeling of teacher labor markets, including the possible biases that arise in estimates of compensating differentials when distance is omitted from the analyses. This study contributes to the literature on the geography of labor markets more generally by employing data on residential location during childhood instead of current residence, which may be endogenous to job choice.
NDT_A_230278 3519..3529

1Department of Neurology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 2Department of Orthopedics, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 3Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 4Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 5Department of Nursing, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China; 6Department of Medical Administration, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan Province, People’s Republic of China Purpose: This study aims to explore the mediating role of sense of coherence in the relationship
Spin-orbit torque-induced switching of in-plane magnetized elliptic nanodot arrays with various easy-axis directions measured by differential planar Hall resistance

Spin-orbit torque-induced switching of an elliptical nanomagnet with an in-plane easy axis allows sub-ns and field-free operation. Since its properties crucially depend on the design of the nanomagnet such as the easy-axis direction, it is of high importance to systematically elucidate the dependence of performance on various parameters of the nanomagnet towards magnetoresistive random access memory applications. Here, we show a scheme to statistically evaluate the switching properties of in-plane nanomagnets in a short turnaround time. We use devices with an array of CoFeB/MgO nanomagnets formed on a cross-shaped Ta/W Hall bar, and the differential planar Hall resistance is measured to study the magnetization switching. Using the scheme, we investigate the easy-axis angle dependence of switching properties at zero magnetic fields for various current pulse widths from 100 ms to 1.7 ns. We show that the dependence of threshold switching current on the easy-axis direction significantly varies with the pulse width.
A case-crossover study to investigate the effects of atmospheric particulate matter concentrations, season and air temperature on accident and emergency presentations for cardiovascular events CURRENT STATUS:

ABSTRACT Background: Atmospheric particulate matter (PM) has multiple adverse effects on human health; are also associated outcomes; and the cardiovascular events (CVEs) varies with season. We investigated a hypothesized increase in PM-related accident and emergency (A&E) presentations for CVE with temperature, season, days of high influenza incidence, and in persons with a cancer diagnosis. Methods: This was a time-stratified case-crossover study in which patients served as their own controls on days without A&E presentation. Outcomes were associations of A&E presentation for CVE with atmospheric PM ≤10μm (PM10), season, air temperature and influenza incidence. PM10 in municipality of residence (exposure variable) were estimated by modelling data from local monitoring stations. Conditional logistic regression models estimated odds ratios (OR) with 95% confidence intervals (CI) for presentations in relation to supposed influencers, adjusting for confounders. Separate analyses were performed on persons with a cancer diagnosis. Study participants were all who presented at the A&E of a large hospital near Milan, Italy, for a CVE (ICD-9: 390-459) from 1st January 2014 to 31st December 2015. Results: There were 1349 A&E presentations for CVE in 2014-2015 and 5390 control days. Risk of A&E presentation was significantly increased (OR 1.34, 95%CI 1.05-1.71) when PM10 was high (as mean PM10 on day of presentation, and 1 and 2 days before lags 0-2) on hot days and (for lag 0) in autumn (OR 1.23, 95%CI 1.09-1.37) and winter (OR 1.18, 95%CI 1.01-1.38). Risks were also significantly increased when PM10 was on lag 1, in people with a cancer diagnosis in the spring and summer months (1.88, 95%CI 1.05-3.37), and on days (lags 0-2) of high influenza incidence (OR 2.34, 95%CI 1.01-5.43). Conclusions: Greater risk of A&E presentation for CVE in periods of high PM10 and high temperature suggests that “safe” thresholds for
A probabilistic similarity metric for Medline records: A model for author name disambiguation

We present a model for automatically generating training sets and estimating the probability that a pair of Medline records sharing a last and first name initial are authored by the same individual, based on shared title words, journal name, co-authors, medical subject headings, language, and affiliation, as well as distinctive features of the name itself (i.e., presence of middle initial, suffix, and prevalence in Medline).
Comparing model performance of the HBV and VIC models in the rhine basin

The general idea exists among hydrologists that physically-based distributed modelling better represents observed discharges as compared to lumped model approaches. In this paper, the hydrological models HBV and VIC were compared for the Rhine basin by testing their performance for simulating discharge. Overall, the semi-distributed lumped conceptual HBV model performed much better than the distributed physically-based VIC model. It is argued here that, even for a well documented river basin, such as the Rhine, the available approaches are still far from providing a satisfactory representation of the rainfall-runoff transformation and that more complex modelling does not always lead to better results. Moreover, it is concluded that deviations between observed and simulated discharge in many cases seem not to result from a structural problem in model definition, but from errors or deviations in forcing data.
The association of maternal diabetes with attention deficit and hyperactivity disorder in offspring: a meta-analysis

Objective: Recent controversial evidence suggests that maternal diabetes may increase the risk of attention deficit and hyperactivity disorder (ADHD) in offspring. To examine this potential association, a systematic literature search and meta-analysis was performed. Methods: OR or risk ratio (RR) from each study was obtained and combined for evaluating the risk. Six cohort studies and three case-control studies were included in the present study. Results: The meta-analysis of the highly heterogeneous case-control studies did not find significant association between maternal diabetes and ADHD risk (OR: 1.20, 95% CI: 0.96–1.49). The combining of the cohort studies demonstrated that offspring of diabetic mothers were at higher risk of ADHD (RR: 1.40, 95% CI: 1.27–1.54); however, publication bias was identified. When exposure was specified as gestational diabetes mellitus (GDM), GDM exposure increased the risk of ADHD for children by 164% (95% CI: 1.25–5.56) in a Caucasian population. Neither heterogeneity nor publication bias was detected. Conclusion: Maternal diabetes, especially GDM, is probably a risk factor for ADHD in the Caucasian population. More studies based on large sample size and different ethnicities are needed to confirm this association.
Implementing person-centered communication in diabetes care: a new tool for diabetes care professionals

Purpose: This study tested the clinical implementation of the CoMac Communication System, an empirically validated tool for individualized Diabetes Self-Management Education and Support (DSMES). This system provides immediate feedback and guidance to health care providers (HCPs) to facilitate speaking with persons with type 2 diabetes mellitus in language re ﬂ ecting patients ’ own worldviews and health beliefs. Patients and methods: This 6-month implementation science study at an accredited diabetes care clinic in a Midwestern US hospital was conducted in two phases. Phase I consisted of CoMac implementation, qualitative interviews with HCPs, and evaluation of clinic ﬂ ow among the diabetes education team. Seventy-two participants received CoMac ’ s linguistically tailored patient-centric communication; a control group of 48 did not receive this intervention. In Phase II, glycosylated hemoglobin A1c (HbA1c) levels from the ﬁ rst visit to the follow-up visit for each group were compared. Results: Interviews conducted during Phase I suggested that the system can be successfully implemented into DSMES practice. Knowing individual psychosocial pro ﬁ les and participants ’ language use allowed for more effective patient counseling. In Phase II, multiple regression analysis with HbA1c change as the dependent variable showed that the key variable of interest, treated with the CoMac intervention, had a one-tailed t -value of − 1.81, with a statistically signi ﬁ cant probability value of 0.037. Conclusion: Findings suggest that use of the CoMac System by diabetes care professionals has the potential for improved patient health outcomes. Patients receiving the CoMac intervention showed signi ﬁ cantly improved HbA1c levels, suggesting that this approach has great promise for effective DSMES management. patients with diabetes in our study who received the CoMac intervention when compared to those patients in our study who did not receive the CoMac treatment. Our ﬁ ndings suggest that the patient-centered CoMac approach has great promise for better adherence and health outcomes in patients with type 2 diabetes.
IN GLOBAL SERVICES AND RETAIL MANAGEMENT: VOLUME 2

The hospitality industry is a significant contributor to environment degradation and over the last years has started to implement voluntary instruments to manage environmental sustainability of its operations. The main goal of this research is to examine guest perception of these practices with respect to other hotel service quality attributes. The first objective is to identify the existence of a specific environmental dimension among hotel service quality dimensions. Taking as baseline for the analysis the three-factor theory of customer satisfaction, the second objective of the study is to evaluate if green attributes are considered by guest as basic, performance, or excitement attributes. As these attributes are not generally recognized as essential in the provision of hotel service, our hypothesis is that they may be perceived by guest as excitement factors. If the hypothesis is confirmed, when these attributes are delivered properly, they surprise and generate delight. Through a survey, targeted to hotel customers, the paper investigates how they evaluate green attributes implemented by hotels awarded with an Eco-label. Results show that customers identify environmental practices as specific dimension of eco-label hotel. Additionally, the analysis shows that most of environmental practices implemented by hotel are identified by customers as excitement factors.
Study on Density Discontinuous Layers of the Kunsan Basin in the Yellow Sea Using Satellite Altimetry Gravity Data

To better understand the subsurface geological structure of the Kunsan Basin in the Yellow Sea, the mean depths of the density discontinuous layers (DDLs) of the Kunsan Basin were calculated by power spectrum analysis using satellite altimetry gravity data. The calculated mean depths of DDLs were -1.1km, -3.4km, -9.1km and -31.0km. The mean depth of -1.1km DDL was interpreted as regional unconformity shown in about 1 second in two way travel time (TWTT) in the seismic reflection profiles, and the mean depth of -3.4km DDL was also interpreted as top of the acoustic basement in the seismic reflection profiles. Comparing with well data, seismic reflection profiles and regional geology in the study area, the mean depth of -9.1km DDL was interpreted as top of the igneous origin basement. This means that the acoustic basement of the study area is composed mainly of sediments which are disregarded in previous study. The mean depth of -31.0km DDL was interpreted as the Moho discontinuity because this mean depth is similar to one of the normal continental crust thickness. The detection of top of the igneous origin basement suggests that oil gas potential analysis in Kunsan Basin needs to be extended to the deeper part of sediments (acoustic basement).
Inverse Radon transform scaling via spin rate estimation for resident space object size assessment

The population of resident space objects (RSOs) has increased drastically during the past years. These objects became a great threat for active satellites. The consequences of a collision with orbital debris strictly depend on the size and velocity of the debris. Typical collision velocities range from seven to fifteen kilometres per second, depending on the collision angle. Such debris must be detected, tracked, and catalogued in order to avoid collisions. Here, object size-related parameters will be estimated by making use of a scaled inverse Radon transform (IRT). The scaled IRT is obtained by estimating the object spin rate.
SURVEY: PRIVACY-PRESERVING VERIFIABLE SET OPERATION IN BIG DATA FOR CLOUD-ASSISTED MOBILE CROWDSOURCING

: The usage of smartphone made possible for many real-time applications such as mobile crowdsourcing, by which the task owner can crowdsource the data from the smartphone users. There are many challenging problems such as data aggregation, data analysis and data collection faced by the resource constrained requester, when the data volume is extremely large i.e., Big Data (BD). The process of filtering redundant data and preprocessing raw data from the Big Data Analysis (BDA) by using set operations such as union, complementation and intersection. The most promising way for solving the BDA issues is the cloud-assisted approaches in terms of limited number of resources like computation and storage resources. If the privacy of the smartphone user's sensing data and identity are preserved well, the users will be ready to participate in the untrusted cloud. But due to the security issues faced by the cloud, the smartphone users are not willing to share their private data with the task owner. This review paper evaluates the researches done on the BDA and also auditing the major issues face by several techniques. The researchers can give the better solution for the current problems faced by using this procedure in the BDA
An Outbreak of Epidemic Keratoconjunctivitis Caused by Human Adenovirus Type 8 in Primary School, Southwest China

Background Two outbreaks of acute conjunctivitis occurred successively with an interval of �ve days in two boarding primary schools in autonomous county, autonomous prefecture, Yunnan. The aims of this study were to determine the intensity of and characteristics of outbreaks, as well as the clinical manifestation of patients and risk factors infected, and the pathogen causing two outbreaks. Methods An outbreak investigation and a case-control study were conducted in two primary schools. The relevant specimens were collected by case de�nition, Next generation sequencing was adopted to identify the pathogen, and the epidemiological investigation method was used to analyze the related epidemiological characteristics such as risk factors. The phylogenetic tree was constructed by MEGA 7.0. Results A total of 331 acute conjunctivitis cases, as acute hemorrhagic conjunctivitis probable cases, were reported in two schools and the attack rates were 30.59% (171/559, 95%CI: 26.76-34.42) and 20.41% (160/784, 95%CI: 17.58-23.24), respectively. Cases occurred in all grades and classes in both schools, and only one staff was ill in each school. Epidemic situations lasted for 54 days and 45 days, respectively. Epidemic curve of two breaks appearing two peaks indicated the mode of person-to-person transmission for two outbreaks. The patients had typical manifestations of epidemic keratoconjunctivitis (EKC) such as acute onset, follicular hyperplasia, pseudomembrane formation, preauricular lymphadenopathy, corneal involvement and blurred vision, and the longer course of the disease (average 9.40 days, longest 23 days and shortest 7 days). The risk factor in infection was close contact with the patient or personal items contaminated by the patient. The pathogen caused the outbreaks is HAdV-8. The virus was highly homologous to the 2016 HAdV-8 strain in Tibet, China. Conclusions This study strongly suggests that HAdV-8 could lead to serious consequences. This is the second report of a HAdV-8 associated EKC outbreak in mainland of China. Tibetan HAdV-8 might be circulating in southwest China, it is necessary to monitor the pathogen of acute conjunctivitis
(2019). Nociceptor subtypes and their incidence in rat lumbar dorsal root ganglia (DRGs): focussing on C-polymodal nociceptors, A-nociceptors, moderate pressure receptors and their receptive field depths. Current Opinion in Physiology , 11 , 125-146.

ArecentstudywithCa ++ -sensitive-dyesinneuronsinwholeDRGs (Table 5) found that much lower percentages of nociceptors were polymodal-nociceptors (PMNs) (Emery et al. , 2016), than the 50– 80% values in many electrophysiological ﬁber studies. Thisconﬂicthighlightedthelackofknowledgeaboutpercentages of nociceptor-subtypes in the DRG. This was analysed from intracellularly-recorded neurons in rat lumbar DRGs stimulated from outside the skin. Polymodal nociceptors (PMNs) were 11% of all neurons and 19% of all nociceptors. Most PMNs had C-ﬁbers(CPMNs). PercentagesofC-nociceptorsthatwereCPMNs varied with receptive ﬁeld (RF) depths, whether superﬁcial ( (cid:1) 80%), dermal (25%), deep (0%) or cutaneous (superﬁcial + dermal) (40%). This explains CPMN percentages 40–90%, being highest, in electrophysiological studies using cutaneous nerves,andlowestinstudiesthatalsoincludedeepRFs,including ours, and the recent Ca ++ [1100_TD$DIFF] -imaging studies in whole DRGs. Despite having been originally described in 1967 (Burgess and Perl), both A b -nociceptors and A b -moderate pressure receptors (MPRs) remain overlooked. Most A-ﬁber nociceptors in rodents have A b -ﬁbers. Of rat lumbar A b -nociceptors with superﬁcial RFs,50%wereMPRswithvariablemedium-lowtrkA-expression. Despite having conduction velocities at the two extremes for nociceptors, both CPMNs and MPRs have relatively low thresholds, superﬁcial/epidermal RFs and low trkA-expression. For abbreviations Table 5. This on Ca ++ imaging in on DRG neurons activated sensory provides important tests of the level of detection of neuronal activity in a Usefully, cross-sectional areas activated provided. This paper shows that in the acutely ex vivo skin/nerve/DRG/spinal cord preparation, C-ﬁber polymodal nociceptors are mainly IB4-positive and MrgprD-positive. They show that b -alanine can act via its receptor MrgprD, to increase the sensitivity of CPMNs to noxious mechanical and thermal stimuli. This is a key paper for understanding PMNs.
A comparison between the Disposcope endoscope and fiberoptic bronchoscope for nasotracheal intubation-A randomized controlled trial

Background: Nasotracheal intubation (NTI) is frequently performed in oral and maxillofacial surgeries. This study evaluated whether NTI is easier when guided by Disposcope endoscopy or fibreoptic bronchoscopy. Methods: Sixty patients (30 per group) requiring NTI were randomly assigned to undergo fibreoptic bronchoscopy-guided (fibreoptic group) or Disposcope endoscope-guided (Disposcope group) NTI. Then, the NTI time, which was deﬁned as the time from when the fibreoptic bronchoscope or aseptic suction catheter was inserted into the nasal cavity to the time at which the tracheal tube was correctly inserted through the glottis, was recorded. Epistaxis was recorded using direct laryngoscopy ﬁve minutes after completing NTI and was scored as one of four grades according to the following modiﬁed criteria: no epistaxis, mild epistaxis, moderate epistaxis, and severe epistaxis. Results: The time to complete NTI was significantly longer in the fibreoptic group than that in the Disposcope group (38.4 sec vs 24.1 sec; mean difference, 14.2 sec; 95% confidence interval (CI), 10.4 to 18.1). In addition, mild epistaxis was observed in 8 patients in the fibreoptic group and in 7 patients in the Disposcope group (26.7% vs 23.3%, respectively; relative risk, 1.2; 95% CI, 0.4 to 3.9). No moderate or severe epistaxis occurred in either group. Furthermore, no obvious nasal pain was reported at any time point after extubation in the two groups (P = 0.74). Conclusion: NTI can be completed successfully using either fibreoptic bronchoscopy or a Disposcope endoscope as a guide without any severe complications. However, compared to fibreoptic bronchoscopy, the Disposcope endoscope requires less execution time (the NTI time).
A spectral heuristic for bisecting random graphs

The minimum bisection problem is to partition the vertices of a graph into two classes of equal size so as to minimize the number of crossing edges. Computing a minimum bisection is NP‐hard in the worst case. In this paper we study a spectral heuristic for bisecting random graphs Gn(p,p′) with a planted bisection obtained as follows: partition n vertices into two classes of equal size randomly, and then insert edges inside the two classes with probability p′ and edges crossing the partition with probability p independently. If $n(p'-p)\geq c_0\sqrt{np'\ln(np')}$, where c0 is a suitable constant, then with probability 1 − o(1) the heuristic finds a minimum bisection of Gn(p,p′) along with a certificate of optimality. Furthermore, we show that the structure of the set of all minimum bisections of Gn(p,p′) undergoes a phase transition as $n(p'-p)=\Theta(\sqrt{np'\ln n})$. The spectral heuristic solves instances in the subcritical, the critical, and the supercritical phases of the phase transition optimally with probability 1 − o(1). These results extend previous work of Boppana Proc. 28th FOCS (1987) 280–285 . © 2005 Wiley Periodicals, Inc. Random Struct. Alg. , 2006