Miracle-dz/UniFAR-FTUs huggingface dataset:
Practicing the Awareness of Embodiment in Qualitative Health Research: Methodological Reflections

Although the importance of the researcher’s embodiment has been noted in health and social sciences research, in many instances, more attention has been paid to the embodiment of the researched. Thus, more in-depth analysis of the embodied researcher can illuminate qualitative inquiry. The influence of the embodied researcher became visible in a recent critical ethnographic study examining the negotiation of religious, spiritual, and cultural plurality in health care. In this article, we do not present research findings per se, but rather methodological reflections. As researchers, we highlight emotional and bodily ways of knowing and experiences of difference such as culture, race, and religion as embodied and a part of researcher—participant encounters. We aim to elucidate the awareness of being embodied researchers, and with this elucidation, we consider implications for knowledge generation for health and social sciences.
Modeling Malware Propagation in Networks

The paper proposes to study spreading characteristics of malware using a stochastic model, based on the Interactive Markov Chains, that belongs to the special case called \in∞uence model. " We generalize in∞uence model so that the status of a node and the in∞uences a node exerts from neighbors depend on the current status of the node and the statuses of its neighbors. Such generalized model is ∞exible enough to model various phenomena including spreading of failures in power grid, malwere propagation in computer networks, and spreading of ideas in social networks. As a particular example we discuss the spreading of e-mail viruses through a network. Although we have focused on the propagation of e-mail viruses, the approach proposed here is general enough to be adapted to describe other malware propagation. Our model is numerically and analytically tractable. We consider three stochastic models: susceptible-infective-removed (SIR), susceptible-infective-immune (SIM), and susceptible-infective-immune-susceptible (SIMS). For SIMS model and arbitrary network topology closed expressions for average number of infected and immune nodes when time goes to inflnity are found. We show that epidemic threshold for SIMS model does not depend on the network topology.
Firm's Attributes and Corporate Governance Disclosure Practices: An Empirical Investigation

The foundation of any structure of corporate governance is disclosure. Various committees constituted in different countries, in the wake of major corporate failures, scandals and financial irregularities in different parts of world have resulted in codes of best practices and corporate governance guidelines. The present paper studies relationship between company attributes and extent of corporate governance disclosures. The study is based on secondary data from 100 selected BSE listed companies. An ‘Index of corporate governance disclosure’ consisting of 85 items was constructed. Linear Regression Equation has been used for each independent Variable separately and Multiple Regression Analysis for all variables done. Findings exhibit a positive relationship between selected company attributes and extent of corporate governance disclosure. The companies which disclose greater items of corporate governance nature are likely to be(a) Large in size as measured by Share-Holders Funds (b) More profitable as measured by PAT as % of Sales (c) Liberal in distributing profits by issue of bonus shares. (d) Their shares being included in active stocks (A type) listing on Bombay Stock Exchange. The proportion of independent directors in board does not have clear relationship with disclosure practices.
Job Market Signaling: An Active Learning Approach for Teaching Education and Employment

Economics classrooms are typically teacher-centered, textbook-driven, and often dominated by chalk-and-talk methodology. This paper advocates for an active learning approach and offers a lesson plan for key concepts. More specifically this lesson uses the economic concept of job market signaling to teach important economic content. Job market signaling is a process that matches workers and employers within labor markets. It occurs when potential employees convey information about their productivity to employers through academic credentials. An academic credential—for example, a college degree—conveys information valuable to both parties. It benefits the employer by indicating job skills and productivity; it benefits the employee because it increases the likelihood of gaining employment at higher wages. Earning academic credentials, thus, is important for success in the labor market. For this reason, it is a useful concept to teach students. By participating in a simulated competitive labor market as employers and potential employees, students learn about the links between education, productivity, income, and employment. As potential employees in this exercise have varying levels of education, this lesson also conveys important information for students concerning their own decisions about pursuing post-secondary education.
366-kS/s 1.09-nJ 0.0013-${\rm mm}^{2}$ Frequency-to-Digital Converter Based CMOS Temperature Sensor Utilizing Multiphase Clock

A smart temperature sensor in 65-nm CMOS, utilizing CMOS ring oscillators, consumes 1.09 nJ at a conversion rate of 366 kS/s. This is achieved by the direct temperature-to-digital conversion method implemented in the frequency-to-digital converter. The algorithm utilized in the fine code generator makes it possible to increase the resolution of the sensor efficiently. Compared to previous work, this brief shows lower VDD operation. After one point calibration, the chip-to-chip spread is +2.7 ~ -2.9°C over the temperature range of -40°C to 110°C.
Free radical scavenging and antioxidant activity of leaves from Agathi (Sesbania grandiflora) (L.) Pers.

2 Abstract: Sesbania grandiflora (L.) Pers. is a soft-wooded tree belonging to the family Leguminoseae. Leaves are considered to be excellent sources of vitamin C and calcium The antioxidant activity of 70% acetone and 50% ethanol extracts of leaves of Sesbania grandiflora were determined by DPPH radical scavenging method. Among the two different extracts acetone extract was found to be more efficient.
An Average Case Time Complexity Estimator for Black-box Functions

Average case time complexity is widely used to evaluate the efficiency of an algorithm [2]. Given a blackbox function, if a tester wants to know the average case time complexity, he/she has to analyze the source code and make input assumption so as to know the average case of the function. Although that is feasible, it is time consuming and that makes the testing process no longer automatic. In this paper, we propose an approach for estimating the average case time complexity of a given black-box function without analyzing source codes. Experimental results show that our approach can accurately estimate the average case time complexity without reading the source code.
Relative quantification based on logistic models for individual polymerase chain reactions

The quantitative real‐time reverse transcription polymerase chain reaction (RT‐PCR) technology measures molecular variations in specific biomarkers. Relative quantification determines the target expression relative to an external standard or reference sample and should be adjusted for the PCR efficiencies actually achieved. More accurate methods of estimating PCR efficiency require a number of serial dilutions of the target sample, which is not generally feasible for clinical specimens. Alternatively, the efficiency of a single reaction may be estimated by considering kinetic data from this reaction. The current methods of estimating individual reaction efficiency require finding its exponential phase, which may affect the accuracy and precision of efficiency estimates. Thus, a model adequately representing all available kinetic RT‐PCR data is preferable, but no such model is currently in use for relative quantification. In this work, we use a logistic model for all kinetic data from each RT‐PCR and propose a new method of efficiency‐adjusted relative quantification based on the estimates from the fitted logistic models. This method allows incorporating multiple replicates and possibly multiple reference (‘housekeeping’) genes for estimating relative expression and corresponding confidence interval. Real kinetic RT‐PCR data are used to compare the proposed and standard methods. The methods are applied to the clinical data from the ongoing study of guanylyl cyclase C as a biomarker for colorectal cancer. Copyright © 2007 John Wiley & Sons, Ltd.
Genetic association analysis of N‐methyl‐d‐aspartate receptor subunit gene GRIN2B and clinical response to clozapine

Approximately 30% of patients with schizophrenia fail to respond to antipsychotic therapy and are classified as having treatment‐resistant schizophrenia. Clozapine is the most efficacious drug for treatment‐resistant schizophrenia and may deliver superior therapeutic effects partly by modulating glutamate neurotransmission. Response to clozapine is highly variable and may depend on genetic factors as indicated by twin studies. We investigated eight polymorphisms in the N‐methyl‐d‐aspartate glutamate receptor subunit gene GRIN2B with response to clozapine.
Ultra-low-voltage gyroscopes based on piezoresistive NEMS for drive-motion and coriolis-motion sensing

The work presents first gyroscopes based on NEMS gauges used both for sense-motion detection and for drive-motion detection. In such a configuration, no structural element is biased at voltages larger than 1 V, so 1 to 2 orders of magnitude lower than the DC voltage conventionally applied to the rotor of capacitive gyroscopes. Following the mechanical design, also the electronics is adapted, here relying on resistive sensing also in the drive loop, which guarantees an optimal rejection of feedthrough issues. Within an area of about 1.1 (mm)2 per axis, with drive mode Q factors of about 35000 at 0.3 mbar, 1.4 dphWHz angle random walk (ARW) is obtained. Bias stability given by NEMS 1/f noise becomes well visible.
Approximation Lower Bounds in Online LIB Bin Packing and Covering

We consider the NP Hard problems of online Bin Packing and online Bin Covering while requiring that larger (or longer, in the one dimensional case) items be placed at the bottom of the bins, below smaller (or shorter) items - we call such a version, the LIB version of problems. All bins are of unit size. In online LIB uniform-sized Bin Packing (USBP), we prove a lower bound of two on the approximation ratio for two popular heuristics belonging to the any fit class as well as the bounded space Harmonic Fit heuristic. In online LIB uniform-sized Bin Covering (USBC), it gets worse: We prove a lower bound of Θ(n) on the approximation ratio for all the heuristics mentioned above, lending credibility to a conjecture on the online USBC problem with the LIB constraint that no polynomial-time (deterministic) approximation algorithm for this problem with LIB can guarantee an AAR that is a constant, unless P = NP.
A Scalable Dual-Field Elliptic Curve Cryptographic Processor

We propose an elliptic curve (EC) cryptographic processor architecture that can support Galois fields GF(p) and GF(2/sup n/) for arbitrary prime numbers and irreducible polynomials by introducing a dual field multiplier. A Montgomery multiplier with an optimized data bus and an on-the-fly redundant binary converter boost the throughput of the EC scalar multiplication. All popular cryptographic functions such as DSA, EC-DSA, RSA, CRT, and prime generation are also supported. All commands are organized in a hierarchical structure according to their complexity. Our processor has high scalability and flexibility between speed, hardware area, and operand size. In the hardware evaluation using a 0.13-/spl mu/m CMOS standard cell library, the high-speed design using 117.5 Kgates with a 64-bit multiplier achieved operation times of 1.21 ms and 0.19 ms for a 160-bit EC scalar multiplication in GF(p) and GF(2/sup n/), respectively. A compact version with an 8-bit multiplier requires only 28.3 K gates and executes the operations in 7.47 ms and 2.79 ms. Not only 160-bit operations, but any bit length can be supported by any hardware configuration so long as the memory capacity is sufficient.
Molecular Basis of Transcriptional Antiactivation

Conjugative transfer of Agrobacterium Ti plasmids is regulated by TraR, a quorum-sensing activator. Quorum dependence requires TraM, which binds to and inactivates TraR. In this study, we showed that TraR and TraM form a 151-kDa stable complex composed of two TraR and two TraM dimers both in vitro and in vivo. When interacted with TraR bound to tra box DNA, wild-type TraM formed a nucleoprotein complex of 77 kDa composed of one dimer of each protein and DNA. The complex converted to the 151-kDa species with concomitant release of DNA with a half-life of 1.6 h. TraR in the complex still retained tightly bound autoinducer. From these results, we conclude that TraM interacts in a two-step process with DNA-TraR to form a large, stable antiactivation complex. Mutagenesis identified residues of TraR important for interacting with TraM. These residues form two patches, possibly defining the binding interfaces. Consistent with this interpretation, comparison of the trypsin-digested polypeptides of TraR and of TraM with that of the TraR-TraM complex revealed that a tryptic site at position 177 of TraR around these patches is accessible on free TraR but is blocked by TraM in the complex. From these genetic and structural considerations, we constructed three-dimensional models of the complex that shed light on the mechanism of TraM-mediated inhibition of TraR and on TraM-mediated destabilization of the TraR-DNA complex.
Neuropsychological functioning in stimulant-naive boys with hyperkinetic disorder

Background. Although children with hyperkinetic disorder and/or attention deficit hyperactivity disorder (ADHD) show disordered executive neuropsychological functioning, the nature of these changes remains controversial. Additionally, impairments in non-executive neuropsychological functioning have been relatively unexplored. Here, the authors describe the neuropsychological functioning of a sample of stimulant drug-naive boys with hyperkinetic disorder on a battery of neuropsychological tasks sensitive to impairments of both executive and non-executive functions. Method. Seventy-five stimulant drug-naive boys meeting diagnostic criteria for ICD-10 hyperkinetic disorder were compared with 70 healthy developing controls matched for age but not IQ on computerized tests of neuropsychological functioning from the Cambridge Neuropsychological Test Automated Battery (CANTAB) and a Go/No-Go inhibition task. Results. Boys with hyperkinetic disorder exhibited impairments on tasks with a prominent executive component – working memory, planning, strategy formation, attentional set-shifting and on a reaction time task. However, they were also impaired on tasks without prominent executive components – pattern and spatial recognition, spatial span, delayed matching to sample and paired associates learning. Contrary to predictions, no impairment was observed on the Go/No-Go inhibition task. Conclusions. Medication-naive boys with hyperkinetic disorder displayed a broad range of neuropsychological impairments. Deficits were demonstrated on tasks with and without prominent executive components. Impairments were not confined to tasks dependent upon frontostriatal functioning, cannot wholly be explained by deficits in inhibitory control, nor can they be attributed to intelligence or previous exposure to stimulant medication.
Three-year outcomes of Straumann Bone Level SLActive dental implants in daily dental practice: a prospective non-interventional study.

OBJECTIVE The aim of this investigation was to evaluate the performance of Straumann Bone Level SLActive implants in various clinical situations in daily dental practice for up to 3 years. METHOD AND MATERIALS This was a prospective, multicenter, non-interventional study in which implants were placed within approved indications in any situation deemed suitable by the treating clinician. No implant placement or loading protocol was specified, and implants were placed according to the routine treatment protocols at each participating center. RESULTS In this analysis, data were available from 342 implants in 233 patients in three countries (USA, Canada, and Switzerland). One or two implants were placed in the majority of patients (70.8% and 19.3%, respectively), mostly in the maxilla (71.3%); almost half (47.7%) were placed in the esthetic zone. Implant placement after 4 to > 16 weeks of healing was preferred in Switzerland (92.0%), while 42.0% of implants were placed immediately in the USA and Canada. A flapless procedure was performed in 25.2% of cases in the USA and Canada, compared to 0.5% in Switzerland. Cumulative implant survival and success rates after 3 years were 97.5% and 93.5%, respectively. CONCLUSION Straumann Bone Level Implants can achieve favorable outcomes and high survival rates after 3 years in daily dental practice. The survival and success rates were comparable with those achieved in formal controlled clinical trials.
Productive replication of Malacosoma neustria nucleopolyhedrovirus (ManeNPV) in Md203 cell line.

A plaque-purified genotypic variant, derived from a field isolate of the Malacosoma neustria nucleopolyhedrovirus (ManeNPV) from Turkey was characterized based on in vitro replication properties in a cell line, Md203 derived from Malacosoma disstria. The life cycle of ManeNPV was studied based on the cytopathic effects (CPEs), polyhedral inclusion body (PIB) formation, budded virus (BV) production, viral DNA replication and polyhedrin protein expression in ManeNPV-infected Md203 cells. Infection of Md203 cells with ManeNPV resulted in cytopathic effects within 24 and 36 h post infection and most cells detachted from the bottom of the culture plate on the fourth day. Typical NPV cytopathic effects (CPE) like granulated and rounded cells, nuclear hypertrophy and impairment in cell proliferation, and lost cell shape with the extendings were observed. Budded viruses were detected at 24 h p.i. However, significant increase in BV production was observed after 48 h p.i. PIB was firstly detected at 36 h p.i. When BV's were used for reinfection of the Md203 cells, the result showed that these cells support production of viable virus progeny. We also observed a significant level of viral DNA synthesis by 24 h p. i. The results indicate that ManeNPV can be propagated at in vitro system for further studies and thus has a potential for development into an effective biotechnological and microbial insecticidal agent.
Method for Group Decision-Making of Multi-Stakeholders with Category Preference on Alternatives

This paper studies the issue of decision making on some alternatives with category preference of multiple decision makers in which interest conflicts exist and the weights are unknown. It puts forward the method to firstly calculate the attribute weight in each decision maker’s circumstance through case-based learning and thus meet subjective preferences of different decision makers. Considering the interest conflicts between multiple decision makers, the fuzzy set theory is then used to optimize the weight of each decision makers to comply with objective requirements of group decision-making process. Finally, the total order relation of the alternative which does not only conform to the subjective preference information of the decision maker but also consist with the objective fact of group decision-making is obtained based on the calculation result of overall off-target distance for the alternative. The case indicates application procedures and method feasibility.
Parameterization of bent coils on curved flexible surface substrates for RFID applications

The read-range of passive inductively-coupled high frequency RFID tags is strongly dependent on the inductance of the antenna-coils. Inductance calculations, whether numerical or analytical, are significantly complicated when the antenna-coil is not planar, but used in a bent state. This latter form of application has been made possible by the development of flexible substrates. A parameterization of the inductance in terms of its geometrical parameters including the bend radius would be advantageous. Therefore, in this work, we demonstrate the possibility of using the Response Surface Method (RSM) based on a suitable Design of Experiment (DOE) to derive a closed-form expression for calculating the inductance of a bent antenna-coil for a given design space. For the regression, we apply a combined approach which could be termed “Physics plus Taylor”. In deriving the formula we exploit physical insight to reduce the number of unknown fitting coefficients. For the DOE we implement a so-called space-filling design based on a threelevel full factorial design to derive the unknown coefficients. We reach an approximation equation for the inductance with a squared correlation coefficient r2 of about 99.97% and an accuracy which is consistently better than 3%.
Detecting consumption intention based on graph ranking in social media

Consumption intention in a microblog indicates either an imminent or a future purchase, and this indicates a buying intention. Consumption-intention detection aims to determine the willingness of a user to make a purchase. The consumption intention in a microblog should contain two important elements, namely the trigger words and the consumption intention target (the product to be bought). These two elements directly indicate a users purchase intention, which is an important feature of the users consumption intention. In this paper, we propose to study the problem of detecting consumption intention in microblogs based on graph ranking. This method can be applied to cases where there is a large amount of data, the amount of labeled data is relatively small, and all data can be involved in the learning process of the graph-ranking algorithm. Experimental results show that the graph-ranking-based method is effective for detecting consumption intention.
Flow‐through imaging cytometry for characterization of Salmonella subpopulations in alfalfa sprouts, a complex food system

We recently developed an approach combining fluorescence in situ hybridization (FISH) and flow cytometry for detecting low levels of Salmonella spp. (∼103 cells/mL sprout wash) against high levels of naturally occurring sprout flora (∼107–108 CFU/g sprouts). Although this “FISH and flow” approach provided rapid presence/absence testing for Salmonella in this complex food system, it was not capable of more nuanced tasks, such as probing the phenotypic complexity of the microbes present in sprouts or determining the physical interactions of Salmonella with these microbes, or with sprout debris. In the present study, we have combined rapid FISH‐based labeling of Salmonella spp. in sprout washes with flow‐through imaging cytometry (FT‐IC), using the ImageStream® 100, a commercial FT‐IC instrument. This approach enables image‐based characterization of various subpopulations of interest occurring within these samples. Here, we demonstrate the ability of FT‐IC to unambiguously identify cells, cell aggregates and other events within these subpopulations based on both cell morphology and hybridization status after reaction with a Salmonella‐targeted probe cocktail. Our ability to directly explore the nature of these events expands the layers of information possible from cytometric analyses of these complex samples and clearly demonstrates that “a picture is worth a thousand dots”.