Miracle-dz/UniFAR-FTUs huggingface dataset:
Relational Framing Theory and Coming-Out Narratives: A Data Analysis Activity

Courses: This single class activity would be most useful in interpersonal, family, gender/sexuality communication, or research methods courses. This activity facilitates better discussion in a small or seminar-style class with students who have had pervious exposure to or who are in the process of learning about interpersonal communication theory or research methods. Objectives: The goals for this activity are to (a) practice data analysis utilizing a specific theory, (b) identify the presence of relational frames and judgments to become more familiar with the interpersonal dimensions of coming-out interactions, (c) appreciate a multiplicity of data interpretations through the practice of group coding, and (d) practice evaluating the quality of data interpretations.
Professionalizing the role of appropriate adults

Abstract The role of an appropriate adult (AA) is to facilitate communication, to ensure an understanding of legal rights, and to provide support for an individual with a mental disorder at police interview. Such schemes differ significantly throughout the UK in terms of legal basis, requirements to be an AA, and client group. This study provides the first description of AA schemes in Scotland, and makes recommendations relevant to Scotland and wider jurisdictions. By 2002 all of Scotland had access to the services of appropriate adults via 16 schemes. This study identified problems with lack of record-keeping, performance indicators, standardized procedures, and management structures, and also with under-utilization and knowledge gaps in AAs and related professions. Police interviews have been ruled inadmissible because of lack of an AA, and also failure of an AA to explain legal rights. Recommendations are made: to create standardized reporting and training systems under the control of an umbrella organization; to develop the role of AAs through a mandatory professional background related to mental health and specific training in relevant legal matters; to develop a more realistic definition of mental disorder requiring the services of an AA with established procedures to assist police officers in their identification; to place the AA schemes in Scotland on a statutory basis; and to establish a framework for AAs to fulfil their role within a court setting.
Applying the Electronic Commerce Technology Acceptance (ECTA) Framework to Overcome Challenges Facing Governmental Institutions' E-mailing Systems Technology Adoption in Jordan

Insight into the reasons why people adopt or reject technology is one of the most challenging issues in information technology research. This paper draws on the Electronic Commerce Technology Acceptance (ECTA) framework [1], which is in turn based on Technology Acceptance Model (TAM) [2–3], and examines Jordan government's employees' attitudes towards adopting and use Electronic Mailing systems within their job. A quantitative survey is used to establish and illustrates employee's behavioural intention and decision to e-mailing systems. The main influencing issues that are discussed in this paper affect these employees imply perceived usefulness, perceived ease of use, employees' attitudes towards new technologies, and behavioural intention to use. These various issues suggested in the Technology Acceptance Model (TAM) [3–4]. Whereas the extended Technology Acceptance Model (TAM) has been made to include the external social factors proposed in this paper such as trust, cultural beliefs, and sociology of technology. Eventually, the significant insight emanated from the findings identifies ways of assisting and spurring employees to make use of technology effectively.
A High-Efficiency, Auto Mode-Hop, Variable-Voltage, Ripple Control Buck Converter

In this paper, a simple yet efficient auto mode-hop ripple control structure for buck converters with light load operation enhancement is proposed. The converter, which operates under a wide range of input and output voltages, makes use of a statedependent hysteretic comparator. Depending on the output current, the converter automatically changes the operating mode. This improves the efficiency and reduces the output voltage ripple for a wide range of output currents for given input and output voltages. The sensitivity of the output voltage to the circuit elements is less than 14%, which is seven times lower than that for conventional converters. To assess the efficiency of the proposed converter, it is designed and implemented with commercially available components. The converter provides an output voltage in the range of 0.9V to 31V for load currents of up to 3A when the input voltage is in the range of 5V to 32V. Analytical design expressions which model the operation of the converter are also presented. This circuit can be implemented easily in a single chip with an external inductor and capacitor for both fixed and variable output voltage applications.
Design and Analysis of CMOS LNAs with Transformer Feedback for Wideband Input Matching and Noise Cancellation

This paper presents a new transformer-feedback technique for RF and millimeter-wave (mmW) low-noise amplifiers (LNAs). The working principle of conventional LNAs using transformers is analyzed to show their underlying performance trade-off between input matching and noise figure (NF). To mitigate this issue, a new feedback technique is developed by constructing a drain-to-gate feedback path around the input transistor with a transformer and then further demonstrated by two LNA prototypes. In the first LNA aiming for software-defined radio (SDR) applications, the proposed technique not only achieves wideband input matching but also enables noise cancellation through an auxiliary out-of-phase forward path. Fabricated in 0.13-<inline-formula> <tex-math notation="LaTeX">$\mu \text {m}$ </tex-math></inline-formula> CMOS, the LNA measures voltage gain >14 dB, minimum NF of 1.8 dB, IIP3 of 1.8–3.8 dBm, and S<sub>11</sub>< −10 dB over a frequency range of 1.2–6.6 GHz, while consuming 13.2 mW. The second LNA implemented in 65-nm CMOS operates from 55 to 65 GHz and achieves a 16.4-dB conversion gain and a 6.8-dB minimum NF, with power dissipation of 33.6 mW. Particularly, the measured <inline-formula> <tex-math notation="LaTeX">$\text{S}_{{11}}$ </tex-math></inline-formula> remains below −10 dB from 49.5 to 67 GHz.
A VLA Search for the Geminga Pulsar: A Bayesian Limit on a Scintillating Source

We derive an upper limit of 3 mJy (95% confidence) for the flux density at 317 MHz of the Geminga pulsar (J0633+1746). Our results are based on 7 hours of fast-sampled VLA data, which we averaged synchronously with the pulse period using a period model based on CGRO/EGRET gamma-ray data. Our limit accounts for the fact that this pulsar is most likely subject to interstellar scintillations on a timescale much shorter than our observing span. Our Bayesian method is quite general and can be applied to calculate the fluxes of other scintillated sources. We also present a Bayesian technique for calculating the flux in a pulsed signal of unknown width and phase. Comparing our upper limit of 3 mJy with the quoted flux density of Geminga at 102 MHz, we calculate a lower limit to its spectral index of α≈2.7 [F(ν)∝ν-α. We discuss some possible reasons for Geminga's weakness at radio wavelengths, and the likelihood that many of the unidentified EGRET sources are also radio-quiet or radio-weak Geminga-like pulsars.
Evaluation of Corporate Environmental Reports Using Data Mining Approach

Growing importance in corporate environmental reporting has undermined the metrics for its examination. Any such metrics are useful in measuring the effectiveness of reports. The main aim of the study in this paper is to examine and analyze the corporate environmental reports (N=539) using data mining approach. The assessment technique implemented in this study is in line with Global Reporting Initiative (GRI) disclosures. Our findings show that the data mining approach is a reliable and robust measurement. Further findings suggest that reports addressing the criteria differ from the nature of business. The study reveals the growing importance of addressing the various stakeholder groups, industrial base approach and organizational strategies in sustainable reporting.
Evolved polygenic herbicide resistance in Lolium rigidum by low-dose herbicide selection within standing genetic variation

The interaction between environment and genetic traits under selection is the basis of evolution. In this study, we have investigated the genetic basis of herbicide resistance in a highly characterized initially herbicide‐susceptible Lolium rigidum population recurrently selected with low (below recommended label) doses of the herbicide diclofop‐methyl. We report the variability in herbicide resistance levels observed in F1 families and the segregation of resistance observed in F2 and back‐cross (BC) families. The selected herbicide resistance phenotypic trait(s) appear to be under complex polygenic control. The estimation of the effective minimum number of genes (NE), depending on the herbicide dose used, reveals at least three resistance genes had been enriched. A joint scaling test indicates that an additive‐dominance model best explains gene interactions in parental, F1, F2 and BC families. The Mendelian study of six F2 and two BC segregating families confirmed involvement of more than one resistance gene. Cross‐pollinated L. rigidum under selection at low herbicide dose can rapidly evolve polygenic broad‐spectrum herbicide resistance by quantitative accumulation of additive genes of small effect. This can be minimized by using herbicides at the recommended dose which causes high mortality acting outside the normal range of phenotypic variation for herbicide susceptibility.
Slanted-Edge MTF for Digital Camera and Scanner Analysis

The development and adoption of standards for the evaluation of digital camera resolution has helped foster the widespread use of slanted-edge-based analysis. In addition, the form of these evaluation methods suggests their use in imaging system analysis and design. The standards-specific methods and algorithms, however, are not intended for direct MTF evaluation, but if care is taken to avoid bias and minimize random error, the methods can successfully be used for this purpose. In this paper the influence of several variables are discussed. Specifically, the effect of color misregistration, edge location estimation, data-record length and image noise on the measured MTF are addressed.
Determinants of Knowledge Sharing in University Academic Team

This research examines the determinants of knowledge sharing in university academic team utilizing an integrated model which posits that three sets of factors-knowledge-related, team member' motivation and personality, team climate influence knowledge sharing. Data were collected from respondent academic team members using online questionnaire. The results of the analysis demonstrate that all three aspects have a significantly influence on intention to share knowledge in academic team, mediated by attitude toward and subjective norm about knowledge sharing, and provide support for 9 of the 12 hypotheses. These research results extend, augment, and apply prior research to a seldom-discussed new domain: academic team. Our research contributes to theory and practice in academic team by focusing on knowledge sharing as the crucial aspect and integrating theory developed in other knowledge sharing contexts.
Exploiting Attributed Type Graphs to Generate Metamodel Instances Using an SMT Solver

In this paper we present an approach to generating instances of metamodels using a Satisfiability Modulo Theories (SMT) solver as a back-end engine. Our goal is to automatically translate a metamodel and its invariants into SMT formulas which can be investigated for satisfiability by an external SMT solver, with each satisfying assignment for SMT formulas interpreted as an instance of the original metamodel. Our automated translation works by interpreting a metamodel as a bounded Attributed Type Graph with Inheritance (ATGI) and then deriving a finite universe of all bounded attribute graphs typed over this bounded ATGI. The graph acts as an intermediate representation which we then translate into SMT formulas. The full translation process, from metamodels to SMT formulas, and then from SMT instances back to metamodel instances, has been successfully automated in our tool, with the results showing the feasibility of this approach.
HEATRING - SMART INVESTIGATION OF TEMPERATURE IMPACT ON INTEGRATED CIRCUIT DEVICES

To investigate the electrical on-chip-transistor behavior at different temperatures usually the transistor area on the wafer is heated by external heat sources to operate at a specific temperature. To avoid using external heat sources a heatring structure was developed which directly controls the temperature of the investigated transistor area on the wafer, guaranteeing very fast warming up and cooling off duration times. Testing the heatring functionality was performed by electro-thermal simulations, the results of which were verified by measurements.
The Relationship of Bowlby's Attachment Theory to the Persistent Failure of Organizational Change Initiatives

The focus of this article is to demonstrate the relationship between research that evolved out of the development of the model of an organizational loss of effectiveness (LOE) and the comprehensive research of John Bowlby in his three volume work on attachment theory. It is our position that the symptoms identified in the individuals experiencing an organizational change as a result of the loss of a ‘leaned on’ or ‘attached to’ object are the same as or are the practical equivalent of the responses described by Bowlby in individuals who are experiencing a sense of separation and/or loss. These findings constitute a significant contribution toward the explanation and mitigation of the high failure rate associated with organizational change initiatives.
Intention to Participate in Web Surveys: An Extended TPB Model

Based on TPB model, the paper proposes an extended model to explain the intentions of potential respondents' to participate in Web-based surveys. The chief objective of this paper is to obtain a more comprehensible picture of how intentions are formed. We empirically tested the research model with a sample 131 participants. Hierarchical regression and structural equation modeling were used and the results indicate that attitude of potential respondents, social norm, perceived behavioral control and PWI are determinants of unit nonresponse in Web-based surveys. The results testify the usefulness of TPB model to explain the intention of potential respondents to take part in Web-based surveys and on the other hand, the results also verify the importance role of the PWI in web-based survey.
Two Kinds of Set in Problem Solving

A number of findings suggest that there are important differences between functional fixedness (FF) and Einstellung (E), though the significance of these findings seems to have gone unrecognized. The results of the present study suggest that FF and E (a) display different forgetting curves (p < .001) and (b) respond differently to distribution of practice (p < .05). Interpretations of the results are discussed.
Keyboards and Covert Channels

This paper introduces JitterBugs, a class of inline interception mechanisms that covertly transmit data by perturbing the timing of input events likely to affect externally observable network traffic. JitterBugs positioned at input devices deep within the trusted environment (e.g., hidden in cables or connectors) can leak sensitive data without compromising the host or its software. In particular, we show a practical Keyboard JitterBug that solves the data exfiltration problem for keystroke loggers by leaking captured passwords through small variations in the precise times at which keyboard events are delivered to the host. Whenever an interactive communication application (such as SSH, Telnet, instant messaging, etc) is running, a receiver monitoring the host's network traffic can recover the leaked data, even when the session or link is encrypted. Our experiments suggest that simple Keyboard JitterBugs can be a practical technique for capturing and exfiltrating typed secrets under conventional OSes and interactive network applications, even when the receiver is many hops away on the Internet.
Interference alignment for MIMO downlink femtocell networks

Interference management in femtocell network is an important issue to achieve the network throughput gain as well as not degrading the throughput of the macrocell tier. In this paper we consider a MIMO femtocell network and propose an interference mitigation strategy using interference alignment (IA) to mitigate the interference at the macrocell users (MUEs) caused by femtocell base stations (FBSs). Since the resource of the macrocell tier is scarcer than the femtocell tier, the transceiver design algorithm is proposed to guarantee the performance of the macrocell tier. Numerical simulations are given and the results show that by introducing IA algorithm the proposed algorithm achieve better femtocell tier throughput performance especially with dense femtocell deployment, with only a small degradation in macrocell tier throughput.
Exact analysis of postdetection combining for DPSK and NFSK systems over arbitrarily correlated Nakagami channels

Postdetection combining is a popular means to improve the bit error performance of DPSK and noncoherent FSK (NFSK) systems over fading channels. Nevertheless, the error performance of such systems in an arbitrarily correlated Nakagami environment is not available in the literature. The difficulty arises from inherent nonlinearity in noncoherent detection and from attempts to determine explicitly the probability density function of the total signal-to-noise ratio at the combiner output. We directly determine the error probability from the characteristic function of decision variables, resulting in closed-form solutions involving matrix differentiation. The performance calculation is further simplified by developing a recursive technique. The theory is illustrated by analyzing two feasible antenna arrays used in base stations for diversity reception, ending up with some findings of interest to system design.
Renal cell carcinoma alters endothelial receptor expression responsible for leukocyte adhesion

Renal cell carcinoma (RCC) escapes immune recognition. To elaborate the escape strategy the influence of RCC cells on endothelial receptor expression and endothelial leukocyte adhesion was evaluated. Human umbilical vein endothelial cells (HUVEC) were co-cultured with the RCC cell line, Caki-1, with and without tumor necrosis factor (TNF)-alpha. Intercellular cell adhesion molecule-1 (ICAM-1), vascular cell adhesion molecule-1 (VCAM-1), endothelial (E)-selectin, standard and variants (V) of CD44 were then analysed in HUVEC, using flow cytometry and Western blot analysis. To determine which components are responsible for HUVEC-Caki-1 interaction causing receptor alteration, Caki-1 membrane fragments versus cell culture supernatant were applied to HUVECS. Adhesion of peripheral blood lymphocytes (PBL) and polymorphonuclear neutrophils (PMN) to endothelium was evaluated by co-culture adhesion assays. Relevance of endothelial receptor expression for adhesion to endothelium was determined by receptor blockage. Co-culture of RCC and HUVECs resulted in a significant increase in endothelial ICAM-1, VCAM-1, E-selectin, CD44 V3 and V7 expression. Previous stimulation of HUVECs with TNF-alpha and co-cultivation with Caki-1 resulted in further elevation of endothelial CD44 V3 and V7 expression, whereas ICAM-1, VCAM-1 and E-selectin expression were significantly diminished. Since Caki-1 membrane fragments also caused these alterations, but cell culture supernatant did not, cell-cell contact may be responsible for this process. Blocking ICAM-1, VCAM-1, E-selectin or CD44 with respective antibodies led to a significant decrease in PBL and PMN adhesion to endothelium. Thus, exposing HUVEC to Caki-1 results in significant alteration of endothelial receptor expression and subsequent endothelial attachment of PBL and PMN.
The Potential for Even Start Family Literacy Programs to Reduce School Dropouts

Don E Seaman is a professor and director at the Texas Center for Adult Literacy and Learning, and Choo Young Yo0 is a graduate student in the Department of Educational Administration and Human Resource Development, both at Texas A & A4 University. he problem of school dropouts has T existed for a long time, although attention to it has grown considerably in recent years. Some national statistics indicated that during the 198Os, between 25% and 30% of high school students dropped out before graduating (Roderick, 1993, p. 3). The losses from this occurrence are many, including the loss of revenue to the school, the loss of potential talent for the nation’s future, and most important, the loss of a productive future for millions of the nation’s youth. Programs that reduce the incidence of school dropout are being targeted for increased funding and national attention. Among the various efforts to reduce dropout rates, high priority has been given to increasing parents’ involvement in the educational activities of their children. One program that is showing promise of reducing school dropouts through parental involvement in school-related functions is Even Start Family Literacy. This program, initiated through amendments to the Elementary and Secondary Education Act (ESEA) of 1988, received initial federal funding in 1989. After 10 years of operation, have the early results from this family literacy program indicated a potential for helping reduce school dropout rates? We present information in this article in regard to the kinds of outcomes that family literacy programs produce and how those outcomes relate to the school dropout problem.
The Importance of Prebiotics in Functional Foods and Clinical Practice

Prebiotics are substances that can promote the growth of beneficial microorganisms, mainly in the intestinal tract, and will modify the colonic microbiota. The following health benefits are attributed to prebiotics: relief from poor digestion of lactose, increased resistance to bacterial infection, better immune response and possible protection against cancer, reduction of the risk of diseases such as intestinal disease, cardiovascular disease, non-insulin dependent diabetes, obesity and osteoporosis. This article presents a discussion of prebiotics, with descriptions of the concepts and its use in clinical practice, and a review of some recent research showing the benefits that these ingredients provide to human health and providing data on the recommended intakes for consumption.