Miracle-dz/UniFAR-FTUs huggingface dataset:
Sibling gender and wage differences

ABSTRACT Family influences on economic performance are investigated. In particular, sibship sex composition is related to hourly wages using data from the National Longitudinal Survey of Youth 1979. The wages of men are increasing in the proportion of siblings who are brothers, but the wages of women are insensitive to sibling gender. Nonwage outcomes are generally unaffected. Contrasts by age structure and demographic group are also presented. The analysis addresses econometric challenges like the endogeneity of fertility and selection into the workforce. In addition, mechanisms such as labour market interactions, human capital investment and role model effects are documented. A questionnaire on job search indicates a same-gender bias in the use of brothers and sisters in obtaining employment. Developmental and psychological assessments suggest that brothers may be associated with worse childhood home environments and more traditional family attitudes among women. The findings are policy relevant and contribute to an understanding of gender differences and earnings inequality.
Glomerular filtration rates in healthy Asians without kidney disease

The Chronic Kidney Disease Collaboration – Epidemiology (CKD‐EPI) glomerular filtration rates (GFR) estimation equation is believed to estimate GFR more accurately in healthy people but this has not been validated in Asians. We studied the distribution of GFR in a multi‐ethnic Asian population without CKD, and compared the performance of measures of GFR estimation, including the CKD‐EPI equation, Cockroft‐Gault equation, and 24‐hour urine creatinine clearances.
Bone Brittleness Varies with Genetic Background in A/J and C57BL/6J Inbred Mice

The contribution of genetic and environmental factors to variations in bone quality are understood poorly. We tested whether bone brittleness varies with genetic background using the A/J and C57BL/6J inbred mouse strains. Whole bone four‐point bending tests revealed a 70% decrease in postyield deflection of A/J femurs compared with C57BL/6J, indicating that A/J femurs failed in a significantly more brittle manner. Cyclic loading studies indicated that A/J femurs accumulated damage differently than C57BL/6J femurs, consistent with their increased brittleness. Differences in matrix composition also were observed between the two mouse strains. A/J femurs had a 4.5% increase in ash content and an 11.8% decrease in collagen content. Interestingly, a reciprocal relationship was observed between femoral geometry and material stiffness; this relationship may have contributed to the brittle phenotype of A/J femurs. A/J femurs are more slender than those of C57BL/6J femurs; however, their 47% smaller moment of inertia appeared to be compensated by an increased tissue stiffness at the expense of altered tissue damageability. Importantly, these differences in whole bone mechanical properties between A/J and C57BL/6J femurs could not have been predicted from bone mass or density measures alone. The results indicated that bone brittleness is a genetically influenced trait and that it is associated with genetically determined differences in whole bone architecture, bone matrix composition, and mechanisms of cyclical damage accumulation.
Assessing overall duration of cardiovascular medicines in veterans with established cardiovascular disease

Background This study aimed to determine persistence, adherence, and time without therapy with cardiovascular medicines over all episodes of use among veterans following hospitalization for ischemic heart disease. Methods Retrospective cohort study using Department of Veterans’ Affairs database including 9635 veterans with a hospitalization for acute myocardial infarction, angina, or ischemic heart disease, and who had been dispensed cardiovascular medicines in the 3 months posthospitalization. The main outcome measures were duration of first treatment episode, duration of overall treatment episode, and adherence with recommended therapies: angiotensin-converting enzyme (ACE) inhibitors, angiotensin II receptor blockers (ARBs), lipid-lowering therapy, calcium channel blockers (CCBs), β-blockers, and antiplatelet therapy. Results The median duration of overall treatment was 6.2 years [95% confidence interval (CI): 6.0-6.4] for lipid-lowering therapy, 5.4 years (95% CI: 5.1-5.5) for ACE inhibitors/ARBs, 5.0 years (95% CI: 4.8-5.1) for antiplatelets, 3.4 years (95% CI: 3.3-3.6) for β-blockers, and 2.8 years (95% CI: 2.6-3.0) for CCBs. Adherence was 72% for CCBs, 75% for ACE inhibitors/ARBs, 84% for lipid-lowering therapy, and 84% for antiplatelets other than aspirin. The median time without therapy was 4.5 months or less for ACE inhibitors/ARBs, antiplatelets, and lipid-lowering therapy. Conclusion Problems with medication adherence can relate to either persistence or compliance during treatment. This novel method provides a way to determine which of these factors is most problematic when considering chronic therapies. We found that Australian veterans with established cardiovascular disease are persistent with their cardiovascular therapy, with only small gaps in therapy.
Development of a School Nursing Research Agenda in Florida: A Delphi Study

Research is important to the image, visibility, and viability of school nursing. Each state school nursing association should evaluate member commitment to school nursing research based on their unique set of financial, educational, and organizational resources. A 3-round Delphi study was conducted in which Florida school nurses identified research priorities. The 10 priority research topics were (a) obesity/nutrition, (b) role of the school nurse, (c) legal/ethical issues, (d) emergencies, (e) health education, (f) absenteeism/attendance, (g) diabetes and insulin, (h) injuries, (i) health services, and (j) asthma. These topics form the state research agenda and will be used to guide the development of multisite school nursing studies.
Extracellular neural stimulation and recording with a Thin-Film-Transistor (TFT) array device

Success has been achieved for the first time in stimulating and recording primary cortical neurons using a Thin-Film-Transistor (TFT) array substrate. The originality resides in the TFT technology used to fabricate the substrates. Unlike Multi-Electrode-Arrays (MEAs) substrates, usually used for neurons activity recording, TFT array substrates allow the recording of large-scale neurons culture, by means of thousands of high density microelectrodes. In-situ voltage and external current pulses were used for stimulation and neurons response spikes in both case could be measured. The related circuit and system description as well as process aspects are discussed, which prove full functionality and supercilious of the developed system.
Inverse deduction of parameters of slip of bridge plug based on RBF neural network model

According to the demand of exploitating the poor-thin oil layer in Daqing oilfield, bridge plug is designed. The clamping function which is respectively accomplished through the slip is the key techniques of bridge plug. For the aim of designing the clamping function, firstly, the slip structure of Slip is introduced. Then in order to calculate contact stress of test model with combinations of different levels of parameters corresponding to different compactions of slip strcture, FEM model of slip was established and analyzed.At the same time with normalized different levels of parameters of slip structure for input targets and simultaneously normalized results of model test for output variables, parameters of slip structure were inversely deducted with RBF neural network model; With the use of these parameters were carried out with ANSYS software in this paper, shows that it is feasible that unsaturated parameters are inversely deduced with RBF neural network mode.
Graphene oxide reduced and modified by environmentally friendly glycylglycine and its excellent catalytic performance

An environmentally friendly new approach to prepare reduced graphene oxide (RGO) was developed by using glycylglycine (gly-gly) as both a reducing and stabilizing agent. Graphene oxide (GO) was transformed to RGO with the appropriate pH, temperature and reducing agent/GO ratio. The RGO was characterized by ultraviolet–visible spectroscopy, Fourier transform infrared spectroscopy, Raman spectroscopy, thermo-gravimetric analysis, x-ray diffraction, x-ray photoelectron spectroscopy (XPS), and transmission electron microscopy. The RGO aqueous suspension showed extraordinary stability in the absence of any external stabilizing reagents. The XPS analysis showed that this excellent stability is due to modifications of the RGO nanosheets by the gly-gly molecules. The modified RGO complex with copper shows good catalytic performance for reduction of 4-nitrophenol to 4-aminophenol.
Pineal Gland: Influence on Gonads of Male Hamsters

Exposure of male hamsters to cycles of 1 hour of light and 23 hours of darkness causes atrophy of the gonads. Pinealectomy prevents this atrophy, but has no effect on animals exposed to light-dark cycles of 16 : 8. Likewise, removal of both eyes induces gonad atrophy which is prevented by pinealectomy. These data emphasize the importance of the pineal gland in the regulation of photoperiodic influences on the gonads.
Physically secure mutual authentication for IoT

Many devices in the Internet of things (IoT) have special and challenging design requirements including limited size, energy, storage, and processing capabilities. Moreover, many IoT devices may be deployed in the open and in public places, making them vulnerable to physical and cloning attacks. These characteristics dictate that any security protocol designed for IoT devices should not only be efficient but should also provide security even if an IoT device is captured by an adversary. To solve this issue, we present mutual authentication protocols for IoT devices that are not only efficient but also secure against physical and cloning attacks. To provide security to physically unprotected devices, the proposed protocols use physical unclonable functions (PUFs) and avoid storing sensitive information on the device. A security and performance analysis of the proposed protocols is presented.
Optimization of ceramic packages including thermal via-hole for light emitting diode

Thermal via holes must be designed to emit the high heat flux generated from high power light emitting diodes (HP LEDs) that are 1000 times smaller than conventional electronics devices such as central processing unit (CPU). Therefore, it is important to layout via holes in accordance with the kinds of the devices. In this paper, we compare the performance of the packages with the three classes of via holes by verifying thermal resistance by using MicRed T3Ster and FLIR IR Camera. It is demonstrated that the large via hole beneath high power light emitting diode is superior to many scattered via holes under condition of the similar amount of silver paste for via filling. Detailed thermal performance is analyzed using CFD (computational fluid dynamics) technology and then verified with thermal resistance and heat distribution in printed circuit board (PCB) where light emitting diode (LED) packaging without the encapsulating material is implemented and then, the evaluation and the compensation of the errors for the process factor of the simulation are simultaneously accomplished. Thermal resistance of the packages with HEP (heat emission pole) is 5 ~ 13.8 times smaller than the others. The calculation formula of thermal conductivity is improved into a new equivalent formula with the device size, package size and the overlap area. The optimized via hole decreases the manufacturing cost while it increases the efficiency of the heat emission.
Adaptive fuzzy control of three-phase active power filter using dynamic surface control

This paper proposes a dynamic surface adaptive fuzzy controller for a three-phase active power filter (APF). In order to deal with the nonlinearity of the active power filter, a fuzzy strategy combining an adaptive backstepping method is proposed where fuzzy controller is mainly responsible for the elimination of nonlinearities. Moreover, by adopting the dynamic surface method, the number of input variables of fuzzy system in modeling could be reduced, therefore the controller and design parameters can be implemented without complex calculation. The Lyapunov stability of closed-loop system with the fuzzy control, sliding control and dynamic surface control could be assured. The simulation results prove that the dynamic surface adaptive fuzzy method has excellent performance in stability, robustness, adaptability and Total Harmonic Distortion (THD), confirming its effectiveness to suppress harmonics.
Democratic and Republican physicians provide different care on politicized health issues

Significance Political beliefs have been shown to spill over into nonpolitical domains, such as consumer spending, choice of romantic partner, and job hiring. Our evidence suggests that political beliefs predict the professional decisions of primary care physicians. On politicized health issues, like marijuana and abortion, physicians' partisan identity is highly correlated with their treatment decisions. Because physicians regularly interact with patients on politically sensitive health issues and because the medical profession is increasingly politicized (e.g., state governments are regulating politicized aspects of medicine), it is necessary to understand how doctors’ own political worldviews may impact their actions in the medical examination room. Physicians frequently interact with patients about politically salient health issues, such as drug use, firearm safety, and sexual behavior. We investigate whether physicians’ own political views affect their treatment decisions on these issues. We linked the records of over 20,000 primary care physicians in 29 US states to a voter registration database, obtaining the physicians’ political party affiliations. We then surveyed a sample of Democratic and Republican primary care physicians. Respondents evaluated nine patient vignettes, three of which addressed especially politicized health issues (marijuana, abortion, and firearm storage). Physicians rated the seriousness of the issue presented in each vignette and their likelihood of engaging in specific management options. On the politicized health issues—and only on such issues—Democratic and Republican physicians differed substantially in their expressed concern and their recommended treatment plan. We control for physician demographics (like age, gender, and religiosity), patient population, and geography. Physician partisan bias can lead to unwarranted variation in patient care. Awareness of how a physician’s political attitudes might affect patient care is important to physicians and patients alike.
Effects of Core Resource and Competence Characteristics of Sharing Economy Business on Shared Value, Distinctive Competitive Advantage, and Behavior Intention

Sharing economy businesses need to increase the value of service effectiveness through the efficiency of their core resources and capabilities, and the effectiveness and efficiency-based services can achieve high results through business competitive advantage. Therefore, this study identifies the need for core resource and competence characteristics, both concepts are approachable from the competitive advantage and resource-based perspectives of the sharing economy business, and it also presents a comprehensive structural model of the shared value creation, distinctive competitive advantage, and behavior intention of the sharing economy business through these concepts. For this purpose, data were collected by survey questionnaires, and a preliminary survey (50 persons) as a pretest and the main survey (550 persons) were conducted and 534 experienced consumers were finally used for data analysis. For the data analysis method, frequency, reliability/validity, model-fit, and path analyses were conducted. The results of the study are the following. First, visibility, inimitability, and asymmetry of the core resources of sharing economy business have a significant effect on shared value. Additionally, while inimitability and asymmetry have a significant effect on distinctive competitive advantage. Second, the integration and internalization of core abilities of sharing economy services have a significant effect on shared value. However, externalization and internalization have a significant effect on distinctive competitive advantage. Finally, the shared values of sharing economy business have a significant effect on distinctive competitive advantage, shared value has a significant effect on behavior intention, and distinctive competitive advantage has a significant effect on behavior intention. Through the importance of managing strategic factors for these shared values and distinctive competitive advantages, this study is aimed at the development of core resources and dynamic ability leading to achievement that is expected to be a systematic academic basis for environmental impact information of sharing economy business.
Tracking multiple agents in an intelligent space with probabilistic algorithms and a camera ring

Detecting, tracking and identifying different non-rigid agents in smart spaces is solved with a probabilistic filter proposed in this paper. A camera ring statically mounted in the intelligent space is used as observation system. Besides, three subsystems create the global detection and tracking algorithm: a three-dimensional reconstruction of these entities; a global tracker of all these entities made of a multimodal filter; and a deterministic classifier based on a connectivity map that obtains the individual agents in the smart space. A the end of the paper, different results and reliability statistics are presented in order to demonstrate the global functionality in real executions of the proposal presented.
The Trump Draw: Voter Personality and Support for Donald Trump in the 2016 Republican Nomination Campaign

This study explores how variation in voters’ personality traits, as represented by the Big Five framework, corresponded with variation in judgments regarding the leading presidential candidates during the 2016 nomination campaign. We argue that the context of a crowded field and an atypical candidate in the Republican nomination campaign activated personalistic criteria for candidate evaluation—voters’ own personality traits plausibly gave direction to their candidate assessments, and personality was a useful basis on which to differentiate between eventual winner Donald Trump and the other leading Republican competitors early in the primary process. Analyses make use of data from a large national survey fielded at the time of the Iowa caucuses. Results show that voters with a particular constellation of personality traits—high conscientiousness and extraversion, and low openness, agreeableness, and neuroticism—favored Donald Trump as compared with Ted Cruz, John Kasich, Marco Rubio, Jeb Bush, Ben Carson, and the remainder of the Republican field.
Framing Science: The Influence of Expertise and Jargon in Media Coverage

: The authors use an experimental pilot survey to examine the effects of message framing on a local environmental topic—urban development. Researchers focus on liberal respondents and find that scientists are considered the most credible sources of environmental information. However, some respondents appear less likely to agree that the inclusion of scientific information or jargon increases a news story’s credibility or persuasiveness. The paper then discusses the significant potential implications that the findings have for public deliberation and the role of experts in public discourse
Endoplasmic reticulum chaperone gp96 in macrophages is essential for protective immunity during Gram‐negative pneumonia

Klebsiella pneumoniae is among the most common Gram‐negative bacteria that cause pneumonia. Gp96 is an endoplasmic reticulum chaperone that is essential for the trafficking and function of Toll‐like receptors (TLRs) and integrins. To determine the role of gp96 in myeloid cells in host defence during Klebsiella pneumonia, mice homozygous for the conditional Hsp90b1 allele encoding gp96 were crossed with mice expressing Cre‐recombinase under control of the LysM promoter to generate LysMcre‐Hsp90b1‐flox mice. LysMcre‐Hsp90b1‐flox mice showed absence of gp96 protein in macrophages and partial depletion in monocytes and granulocytes. This was accompanied by almost complete absence of TLR2 and TLR4 on macrophages. Likewise, integrin subunits CD11b and CD18 were not detectable on macrophages, while being only slightly reduced on monocytes and granulocytes. Gp96‐deficient macrophages did not release pro‐inflammatory cytokines in response to Klebsiella and displayed reduced phagocytic capacity independent of CD18. LysMcre‐Hsp90b1‐flox mice were highly vulnerable to lower airway infection induced by K. pneumoniae, as reflected by enhanced bacterial growth and a higher mortality rate. The early inflammatory response in Hsp90b1‐flox mice was characterized by strongly impaired recruitment of granulocytes into the lungs, accompanied by attenuated production of pro‐inflammatory cytokines, while the inflammatory response during late‐stage pneumonia was not dependent on the presence of gp96. Blocking CD18 did not reproduce the impaired host defence of LysMcre‐Hsp90b1‐flox mice during Klebsiella pneumonia. These data indicate that macrophage gp96 is essential for protective immunity during Gram‐negative pneumonia by regulating TLR expression. Copyright © 2015 Pathological Society of Great Britain and Ireland. Published by John Wiley & Sons, Ltd.