Miracle-dz/UniFAR-FTUs huggingface dataset:
Building Political Participation: The Role of Family Policy and Political Science Courses

ABSTRACT This mixed-methods study examined the long-term associations between two kinds of politics courses—required political science courses and required family policy courses—and the political participation, knowledge, skill, efficacy, and politically engaged identity of child and family studies alumni. Two special cases were examined: those who remembered their required political science and policy courses compared with the other groups. Additionally, open-ended responses were coded and analyzed. Together, the quantitative and qualitative data suggest that college courses impacted alumni political awareness in college but political awareness did not translate as strongly into later political participation as previous literature has assumed. Findings highlight the importance of postcollege personal connections and work experience in shaping political participation. Educators and researchers should consider this complex relationship between what students learn in college and what they may later experience in adulthood when developing curriculum for students who are not political science majors.
Using in-flight chains to build a scalable cache coherence protocol

As microprocessor designs integrate more cores, scalability of cache coherence protocols becomes a challenging problem. Most directory-based protocols avoid races by using blocking tag directories that can impact the performance of parallel applications. In this article, we first quantitatively demonstrate that state-of-the-art blocking protocols significantly constrain throughput at large core counts for several parallel applications. Nonblocking protocols address this throughput concern at the expense of scalability in the interconnection network or in the required resource overheads. To address this concern, we enhance nonblocking directory protocols by migrating the point of service of responses. Our approach uses in-flight chains of cores making parallel memory requests to incorporate scalability while maintaining high-throughput. The proposed cache coherence protocol called chained cache coherence, can outperform blocking protocols by up to 20% on scientific and 12% on commercial applications. It also has low resource overheads and simple address ordering requirements making it both a high-performance and scalable protocol. Furthermore, in-flight chains provide a scalable solution to building hierarchical and nonblocking tag directories as well as optimize communication latencies.
Characterization of key transcription factors as molecular signatures of HPV‐positive and HPV‐negative oral cancers

Prior studies established constitutively active AP‐1, NF‐κB, and STAT3 signaling in oral cancer. Differential expression/activation of specific members of these transcription factors has been documented in HPV‐positive oral lesions that respond better to therapy. We performed a comprehensive analysis of differentially expressed, transcriptionally active members of these pivotal signaling mediators to develop specific signatures of HPV‐positive and HPV‐negative oral lesions by immunohistochemical method that is applicable in low‐resource settings. We examined a total of 31 prospective and 30 formalin‐fixed, paraffin‐embedded tissues from treatment‐naïve, histopathologically and clinically confirmed cases diagnosed as oral or oropharyngeal squamous cell carcinoma (OSCC/OPSCC). Following determination of their HPV status by GP5 + /GP6 + PCR, the sequential sections of the tissues were evaluated for expression of JunB, JunD, c‐Fos, p50, p65, STAT3, and pSTAT3(Y705), along with two key regulatory proteins pEGFR and p16 by IHC. Independent analysis of JunB and p65 showed direct correlation with HPV positivity, whereas STAT3 and pSTAT3 were inversely correlated. A combined analysis of transcription factors revealed a more restrictive combination, characterized by the presence of AP‐1 and NF‐κB lacking involvement of STAT3 that strongly correlated with HPV‐positive tumors. Presence of STAT3/pSTAT3 with NF‐κB irrespective of the presence or absence of AP‐1 members was present in HPV‐negative lesions. Expression of pSTAT3 strongly correlated with all the AP‐1/NF‐κB members (except JunD), its upstream activator pEGFRY1092, and HPV infection‐related negative regulator p16. Overall, we show a simple combination of AP‐1, NF‐κB, and STAT3 members’ expression that may serve as molecular signature of HPV‐positive lesions or more broadly the tumors that show better prognosis.
Redox state regulates HIF-1α and its DNA binding and phosphorylation in salmonid cells

Rainbow trout (Oncorhynchus mykiss) hypoxia-inducible factor-1 (HIF-1) is a heterodimeric transcription factor structurally similar to mammalian HIF-1. It consists of HIF-1α and HIF-1β subunits, of which the HIF-1α subunit confers the hypoxia sensitivity. HIF-1α is rapidly degraded by a proteasome under normal oxygen (21% O2) conditions, mainly as a result of prolyl hydroxylation needed for protein destabilization. Although prolyl hydroxylation at conserved proline residues is a major factor controlling HIF-1α stability, the redox state of the cells may, in addition, influence the function of HIF-1α like proteins by influencing their stability, DNA binding and phosphorylation. Sensitivity of the protein to oxidation/reduction may be due to cysteine residues at critical positions. The predicted amino acid sequence of rainbow trout HIF-1α contains several unique cysteine residues, notably in the DNA-binding area at position 28 and in the transactivation domain of the molecule in the vicinity of the conserved proline residue at position 564 of mammalian HIF-1α. In the present studies we have investigated if the redox state influences HIF-1α stability, DNA binding and phosphorylation in two established salmonid cell lines RTG-2 and CHSE-214. The results indicate that reducing conditions, achieved using N-propylgallate (nPG) or N-acetylcysteine (NAC), stabilize HIF-1α, facilitate its DNA binding, and increase its phosphorylation even under normal oxygen conditions. On the other hand, oxidizing conditions, achieved using L-buthionine sulfoximine (BSO) dampen the hypoxia response. Furthermore, the hypoxia-like effect of cobalt is increased in the presence of the reducing agent. On the basis of these results, we suggest that redox state influences the accessibility of the conserved prolyl residues to oxygen-dependent hydroxylation and the accessibility of the residues involved in the phosphorylation of HIF-1α.
Effect of Verbal Coach Encouragement on Small Sided Games Intensity and Perceived Enjoyment in Youth Soccer Players

Objective: The purpose of this study was to compare the effects of coach encouragement during small-sided games (SSG) on physical enjoyment (PE) and exercise intensity in youth soccer players. Methods: Fourteen U-16 male soccer players (mean ± SD: age=15.7 ± 0.7 years, height=176.5 ± 6.1 cm, body mass=67.2 ± 4.9 kg, and body fat=10.7 ± 0.7 %) took part in this study. Testing of players was conducted on separate days (each training session: 25-min: 4x4-min work with 3-min of passive recovery in-between) under two conditions with and without verbal encouragement during 4vs. 4 SSG on a 40×30-m pitch size. PE was measured using the Physical 18-item Physical Activity Enjoyment Scale. The players ’heart rate (HR) was continuously measured, whereas ratings of perceived exertion (RPE) were collected after each bouts of SSG. Results: The comparison between the two forms of SSG (with and without verbal encouragement) resulted in: a main effect for “condition” on RPE was observed (p<0.001), an increase of percent of HRmax (%HRmax) (p<0.001) and PE (p<0.001). Conclusion: Coach Encouragement improves the SSG intensity and PE. Our findings emphasize the effectiveness of verbal encouragement coach in motor learning, commitment and the smooth running of a training session.
The Social Fabric and Innovation Diffusion: Symbolic Adoption of Food.

This study used a longitudinal, panel design to examine the effects of negative information acquisition, compliance with opinion leader endorsements, and social demographic characteristics on consumers' symbolic adoption of food irradiation. Data collection coincided with the first market test of irradiated food conducted by a commercial firm, which took place in Minneapolis, Minnesota, in 2000. Approximately half the subjects (N ¼ 116) received a packet containing information from pro- ponents and opponents of food irradiation. The remaining subjects (N ¼ 107) were provided with no information about the technology. The results indicated that, initially, negative information acquisition, even when accompanied by positive endorsements from opinion leaders, decreased symbolic adoption. Over time, however, this negative effect was mitigated by compliance with endorsements from opinion leaders. The results suggest that confidence in social institutions might be a determinant as well as an outcome of adoption decisions. Implications are suggested for risk communication strategies regarding controversial agricultural technologies.
Evolutionary‐based heuristic generators for checkers and give‐away checkers

Abstract: Two methods of genetic evolution of linear and non‐linear heuristic evaluation functions for the game of checkers and give‐away checkers are presented in the paper. The first method is based on the simplistic assumption that a relation ‘close’ to partial order can be defined over the set of evaluation functions. Hence an explicit fitness function is not necessary in this case and direct comparison between heuristics (a tournament) can be used instead. In the other approach a heuristic is developed step‐by‐step based on the set of training games. First, the end‐game positions are considered and then the method gradually moves ‘backwards’ in the game tree up to the starting position and at each step the best fitted specimen from the previous step (previous game tree depth) is used as the heuristic evaluation function in the alpha‐beta search for the current step. Experimental results confirm that both approaches lead to quite strong heuristics and give hope that a more sophisticated and more problem‐oriented evolutionary process might ultimately provide heuristics of quality comparable to those of commercial programs.
Annulus Fibrosus Can Strip Hyaline Cartilage End Plate from Subchondral Bone: A Study of the Intervertebral Disk in Tension

Study Design Biomechanical study on cadaveric spines. Objective Spinal bending causes the annulus to pull vertically (axially) on the end plate, but failure mechanisms in response to this type of loading are poorly understood. Therefore, the objective of this study was to identify the weak point of the intervertebral disk in tension. Methods Cadaveric motion segments (aged 79 to 88 years) were dissected to create midsagittal blocks of tissue, with ∼10 mm of bone superior and inferior to the disk. From these blocks, 14 bone–disk–bone slices (average 4.8 mm thick) were cut in the frontal plane. Each slice was gripped by its bony ends and stretched to failure at 1 mm/s. Mode of failure was recorded using a digital camera. Results Of the 14 slices, 10 failed by the hyaline cartilage being peeled off the subchondral bone, with the failure starting opposite the lateral annulus and proceeding medially. Two slices failed by rupturing of the trabecular bone, and a further two failed in the annulus. Conclusions The hyaline cartilage–bone junction is the disk's weak link in tension. These findings provide a plausible mechanism for the appearance of bone and cartilage fragments in herniated material. Stripping cartilage from the bony end plate would result in the herniated mass containing relatively stiff cartilage that does not easily resorb.
Adaptive Mobile Robot Navigation and Mapping

The task of building a map of an unknown environment and concurrently using that map to navigate is a central problem in mobile robotics research. This paper addresses the problem of how to perform concurrent mapping and localization (CML) adaptively using sonar. Stochastic mapping is a feature-based approach to CML that generalizes the extended Kalman filter to incorporate vehicle localization and environmental mapping. The authors describe an implementation of stochastic mapping that uses a delayed nearest neighbor data association strategy to initialize new features into the map, match measurements to map features, and delete out-of-date features. The authors introduce a metric for adaptive sensing that is defined in terms of Fisher information and represents the sum of the areas of the error ellipses of the vehicle and feature estimates in the map. Predicted sensor readings and expected dead-reckoning errors are used to estimate the metric for each potential action of the robot, and the action that yields the lowest cost (i.e., the maximum information) is selected. This technique is demonstrated via simulations, in-air sonar experiments, and underwater sonar experiments. Results are shown for (1) adaptive control of motion and (2) adaptive control of motion and scanning. The vehicle tends to explore selectively different objects in the environment. The performance of this adaptive algorithm is shown to be superior to straight-line motion and random motion.
A CBF-Based Event-Related Brain Activation Paradigm: Characterization of Impulse–Response Function and Comparison to BOLD

A perfusion-based event-related functional MRI method for the study of brain activation is presented. In this method, cerebral blood flow (CBF) was measured using a recently developed multislice arterial spin-labeling (ASL) perfusion imaging method with rapid spiral scanning. Temporal resolution of the perfusion measurement was substantially improved by employing intertrial subtraction and stimulus-shifting schemes. Perfusion and blood oxygenation level-dependent (BOLD) signals were obtained simultaneously by subtracting or adding the control and labeled images, respectively, in the same data sets. The impulse response function (IRF) of perfusion during brain activation was characterized for multiple stimulus durations and compared to the simultaneously acquired BOLD response. The CBF response curve preceded the BOLD curve by 0.21 s in the rising phase and 0.64 s in the falling phase. Linear additivity of the CBF and BOLD responses was assessed with rapidly repeated stimulations within single trials, and departure from linearity was found in both responses, characterized as attenuated amplitude and delayed rising time. Event-related visual and sensorimotor activation experiments were successfully performed with the new perfusion technique.
Aggrecan Glycoforms Contribute to the Molecular Heterogeneity of Perineuronal Nets

The perineuronal net forms the extracellular matrix of many neurons in the CNS, surrounding neuron cell bodies and proximal dendrites in a mesh-like structure with open “holes” at the sites of synaptic contacts. The perineuronal net is first detected late in development, approximately coincident with the transformation of the CNS from an environment conducive to neuronal growth and motility to one that is restrictive, suggesting a role for the perineuronal net in this developmental transition. Perineuronal nets show a great degree of molecular heterogeneity. Using monoclonal antibodies Cat-301, Cat-315, and Cat-316, we have shown previously that although all antibodies recognize chondroitin sulfate proteoglycans of similar sizes, each antibody recognizes perineuronal nets on distinct but overlapping sets of neurons in the adult cat CNS. An understanding of the heterogeneity demonstrated by these antibodies is critical to understanding the organization and function of perineuronal nets. Using aggrecan knock-out mice (cmd), we have now determined that all three antibodies recognize aggrecan. Chemical and enzymatic deglycosylation show that the differences revealed by the three antibodies arise from differential glycosylation of aggrecan. We further demonstrate that aggrecan mRNA is expressed relatively late in development and that neurons themselves are likely the predominant cellular sites of aggrecan expression. This work indicates that neurons can directly regulate the composition of their extracellular matrix by regulated synthesis and differential glycosylation of aggrecan in a cell type-specific manner. These results have important implications for the role of regulated microheterogeneity of glycosylation in the CNS.
Emotional Complexity and the Neural Representation of Emotion in Motion

According to theories of emotional complexity, individuals low in emotional complexity encode and represent emotions in visceral or action-oriented terms, whereas individuals high in emotional complexity encode and represent emotions in a differentiated way, using multiple emotion concepts. During functional magnetic resonance imaging, participants viewed valenced animated scenarios of simple ball-like figures attending either to social or spatial aspects of the interactions. Participant’s emotional complexity was assessed using the Levels of Emotional Awareness Scale. We found a distributed set of brain regions previously implicated in processing emotion from facial, vocal and bodily cues, in processing social intentions, and in emotional response, were sensitive to emotion conveyed by motion alone. Attention to social meaning amplified the influence of emotion in a subset of these regions. Critically, increased emotional complexity correlated with enhanced processing in a left temporal polar region implicated in detailed semantic knowledge; with a diminished effect of social attention; and with increased differentiation of brain activity between films of differing valence. Decreased emotional complexity was associated with increased activity in regions of pre-motor cortex. Thus, neural coding of emotion in semantic vs action systems varies as a function of emotional complexity, helping reconcile puzzling inconsistencies in neuropsychological investigations of emotion recognition.
Effect of borehole stress concentration on compressional wave velocity measurements

Summary Formation elastic properties near a borehole may be altered from their original state due to the stress concentration around the borehole. This could lead to a biased estimation of formation elastic properties measured from sonic logging data. To study the effect of stress concentration around a borehole on sonic logging, we first use an iterative approach, which combines a rock physics model and a finite-element method, to calculate the stress-dependent elastic properties of the rock around a borehole when it is subjected to an anisotropic stress loading. Then we use the anisotropic elastic model obtained from the first step and a finite-difference method to simulate the acoustic response in a borehole. Our numerical results are consistent with published laboratory measurements of the azimuthal velocity variations caused by borehole stress concentration. Both numerical and experimental results show that the variation of P-wave velocity versus azimuth has broad maxima and cusped minima, which is different from the presumed cosine behavior. This is caused by the preference of the wavefield to propagate through a higher velocity region.
Simple ID-Based Key Distribution Scheme

A key distribution scheme is used to distribute a session key for broadcasting systems(multicast communications). None of the existing key distribution schemes with the exception of the Jeong-Kwon-Lee key distribution scheme provide both security against session state reveal attacks and security against long-term key reveal attacks. Unfortunately, the Jeong-Kwon-Lee key distribution scheme suffers from three disadvantages in terms of efficiency unlike the existing schemes: (1) Unscalability for the dynamic user group, (2) Abuse of cryptographic algorithms, and (3) Inefficiency. In this paper, we propose an ID-based key distribution scheme which is secure against session state reveal attacks and long-term key reveal attacks. Also, our scheme offers the scalability, non-usage of additional cryptographic algorithms, and efficiency similar to those of the existing schemes.
Recursive Hybrid Cramér–Rao Bound for Discrete-Time Markovian Dynamic Systems

In statistical signal processing, hybrid parameter estimation refers to the case where the parameters vector to estimate contains both non-random and random parameters. As a contribution to the hybrid estimation framework, we introduce a recursive hybrid Cramér-Rao lower bound for discrete-time Markovian dynamic systems depending on unknown deterministic parameters. Additionally, the regularity conditions required for its existence and its use are clarified.
Operation, design and control of dual H-bridge-based isolated bidirectional DC-DC converter

The operation, design and control of an isolated bidirectional DC - DC converter for hybrid electric vehicle energy management applications are discussed. Different operation modes and boundary conditions are distinguished by phase-shift angle and load conditions. The absolute and relative output voltage ripple was derived. The dead-band effect and safe operational area are further investigated. The relations between output power and leakage inductance and switching frequency are also presented. The proposed converter was simulated and a prototype was built and tested. Experiments on the converter's steady state and transient operations validated the design and simulation.
Online Estimation of Architectural Vulnerability Factor for Soft Errors

As CMOS technology scales and more transistors are packed on to the same chip, soft error reliability has become an increasingly important design issue for processors. Prior research has shown that there is significant architecture-level masking, and many soft error solutions take advantage of this effect. Prior work has also shown that the degree of such masking can vary significantly across workloads and between individual workload phases, motivating dynamic adaptation of reliability solutions for optimal cost and benefit. For such adaptation, it is important to be able to accurately estimate the amount of masking or the architecture vulnerability factor (AVF) online, while the program is running. Unfortunately, existing solutions for estimating AVF are often based on offline simulators and hard to implement in real processors. This paper proposes a novel way of estimating AVF online, using simple modifications to the processor. The estimation method applies to both logic and storage structures on the processor. Compared to previous methods for estimating AVF, our method does not require any offline simulation or calibration for different workloads. We tested our method with a widely used simulator from industry, for four processor structures and for 100 to 200 intervals of each of eleven SPEC benchmarks. The results show that our method provides acceptably accurate AVF estimates at runtime. The absolute error rarely exceeds 0.08 across all application intervals for all structures, and the mean absolute error for a given application and structure combination is always within 0.05.
Triage and protocol recommendations for the parasitology laboratory based on an epidemiological investigation of parasite diagnostics in Ontario laboratories

Parasitic infections associated with gastroenteritis can cause considerable morbidity and mortality, and may be endemic or nonendemic in Ontario. Recently, there have been developments in laboratory protocols for identifying such parasites. The authors of this study used retrospective data from a single laboratory sector in Ontario to develop protocols for the diagnosis of parasitic infections, and also assessed risk factors associated with these infections.