Analog Tasks Research Articles

Scalable photonic reservoir computing based on pulse propagation in parallel passive dispersive links

We propose and demonstrate a scalable photonic reservoir computing system based on pulse propagation in parallel passive dispersive links. The approach features a simple structure and is composed of passive components, such as dispersive elements and ring resonators. The system utilizes a pulsed laser and employs a multi-channel architecture with dispersive elements for pulse broadening and ring resonators for delay stacking. It is verified for its capability to handle both digital tasks (2-bit Boolean logic operations, header recognition) and analog tasks (Mackey-Glass time-series prediction, Lorenz 63 time-series prediction). A major advantage of the approach lies in its scalability. It has been confirmed that more complex tasks can be processed by using a system with more channels, along with dispersive elements and ring resonators with larger dispersion amounts and delays, respectively.

Enabling of CMOS Circuit using Dual Material Gate Germanium Pocket Induced FDSOI MOSFET

This research presents a comparison of the electrical performance of a double-side induced germanium-pocket (IGP) FD-SOI MOSFET and a dual material gate IGPFDSOI (DIGPFDSOI). The electrical performance is reviewed by comparing the device parameters like drain current, band diagram, lateral electric field, surface potential, and work function of the gate material. The proposed structure exhibits excellent characteristics compared to the IGPFDSOI MOSFET. The proposed structure has a greater Ion/Ioff ratio, a lower subthreshold slope, reduced capacitance, and an elevated cut-off frequency. The implementation of a dual metal gate is considered a superior method in comparison to FD-SOI technology because it effectively reduces the negative effects of scaling. A study is being done to analyze the differences in the work functions of metal gates to evaluate the effectiveness of the proposed construction. The comparison evaluation shows that the suggested design can be used for both digital and analog tasks because it has a higher switching frequency and a better cut-off frequency. Apart from this, the proposed structure can also be implemented without making substantial changes to the conventional FD-SOI MOSFET fabrication process flow. Here, we are using n-type and p-type DIGPFDSOI MOSFETs to make a CMOS converter circuit. Sentaurus TCAD is used to simulate and analyze the performance of the proposed structure.

Validation of new tablet-based problem-solving tasks in primary school students.

Problem-solving is an important skill that is associated with reasoning abilities, action control and academic success. Nevertheless, empirical evidence on cognitive correlates of problem-solving performance in childhood is limited. Appropriate assessment tools are scarce and existing analog tasks require extensive coding. Thus, we developed and validated new tablet-based versions of existing analog tasks assessing technical problem-solving with gear construction tasks. To validate these tasks, 215 children (6-8 years) performed the problem-solving tasks in both modalities (analog, digital). To investigate whether performances in both modalities were correlated with other cognitive abilities, participants performed three additional tasks assessing language, reasoning and problem-solving. Structural equation modelling showed that performance was substantially correlated across modalities and also correlated with language, reasoning and another problem-solving task, showing the convergent validity of the digital tasks. We also found scalar measurement invariance across task modalities indicating that both task versions can be used interchangeably. We conclude that both versions (analog and digital) draw on similar cognitive resources and abilities. The analog tasks were thus successfully transferred to a digital platform. The new tasks offer the immense benefits of digital data collection, provide a valid measuring tool advancing problem-solving research in childhood and facilitate the application in the field, e.g., in the classroom.

An array of microresonators as a photonic extreme learning machine

Machine learning technologies have found fertile ground in optics due to their promising features based on speed and parallelism. Feed-forward neural networks are one of the most widely used machine learning algorithms due to their simplicity and universal approximation capability. However, the typical training procedure, where all weights are optimized, can be time and energy consuming. An alternative approach is the Extreme Learning Machine, a feed-forward neural network in which only the output weights are trained, while the internal connections are random. Here we present an experimental implementation of a photonic extreme learning machine (PELM) in an integrated silicon chip. The PELM is based on the processing of the image of the scattered light by an array of 18 gratings coupled to microresonators. Light propagation in the microresonator array is a linear process while light detection by the video camera is a nonlinear process. Training is done offline by analyzing the recorded scattered light image with a linear classifier. We provide a proof-of-concept demonstration of the PELM by solving both binary and analog tasks, and show how the performance depends on the number of microresonators used in the readout procedure.

A-211 The Impact of Task Novelty on a Virtual Reality-Based Procedural Learning Task

Abstract Objective: Psychologists have long used nonsensical information in the study of learning and memory (Ebbinghaus, 1885). Nonsensical information makes it difficult to rely on previous learning and thus increases task novelty (Quent et al., 2021). Little extant research has investigated the impact of task novelty in everyday activities, which are often overlearned. The purpose of this study was to investigate the impact of task novelty on a procedural learning and memory task in virtual reality. Method: Healthy young adults (N = 41; ages 18–25, M = 18.73, SD = 1.38) completed the Virtual Kitchen Protocol (VKP; Barnett, Parsons, & Childers, 2021), a virtual reality-based measure of learning and memory for meal preparation of both regular (e.g., cooking an egg) and nonsensical (e.g., placing a menu in a toaster) dishes. Results: Results of a Wilcoxon signed-rank test found that in immediate recall, participants demonstrated better recall for preparing regular dishes (M = 31.51, SD = 3.33) than nonsensical dishes (M = 26.68, SD = 4.75); z = 4.699. p < 0.001.; after a 20-minute delay, participants still had better recall for preparing regular dishes (M = 32.81, SD = 2.44) than the nonsensical ones (M = 27.32, SD = 4.38); z = 5.288, p < 0.001. Conclusions: Task novelty had a negative impact on recall for everyday procedural tasks in virtual reality. Overlearned behaviors may affect performance on measures of everyday activities, but the use of nonsensical analog tasks may provide a means of controlling for task familiarity.

Thin liquid film as an optical nonlinear-nonlocal medium and memory element in integrated optofluidic reservoir computer

Understanding light–matter interaction lies at the core of our ability to harness physical effects and to translate them into new capabilities realized in modern integrated photonics platforms. Here, we present the design and characterization of optofluidic components in an integrated photonics platform and computationally predict a series of physical effects that rely on thermocapillary-driven interaction between waveguide modes and topography changes of optically thin liquid dielectric film. Our results indicate that this coupling introduces substantial self-induced phase change and transmittance change in a single channel waveguide, transmittance through the Bragg grating waveguide, and nonlocal interaction between adjacent waveguides. We then employ the self-induced effects together with the inherent built-in finite relaxation time of the liquid film, to demonstrate that the light-driven deformation can serve as a reservoir computer capable of performing digital and analog tasks, where the gas–liquid interface operates both as a nonlinear actuator and as an optical memory element.

Psychometric Evidence for Indirect Assessment of Child Abuse Risk in Child Welfare-Involved Mothers.

Most research on factors related to physical child abuse risk rely heavily on direct self-report measures, which is a methodological strategy susceptible to participant response distortions. Such methodological reliance obfuscates the interpretations rendered about the risk factors predictive of child abuse. Efforts to develop alternative indirect assessment approaches, such as analog tasks, show promise, although most of those studies have applied these methods to community samples rather than with child welfare-involved samples. The present study evaluated the psychometric evidence for four separate analog tasks that have not yet been considered with mothers identified for child maltreatment by child welfare services, also contrasted to a sociodemographically matched sample of mothers. The results indicate acceptable reliability for the analog tasks, with additional evidence of validity. However, the two groups of mothers did not substantively differ across measures, suggesting that identification for abuse through child protective services does not differentiate from those closely matched on critical sociodemographic characteristics. The promising preliminary results of these analog tasks in the current study suggest that indirect analog assessment approaches to estimate child abuse risk could be useful in efforts to minimize dependence on self-report methods.

Development and psychometric characteristics of analog measures of parental empathy.

Despite substantial literature on the effect of empathy on parenting, empathy research has historically suffered from definitional and methodological limitations. Parental empathy can be characterized as parents’ ability to recognize, take the perspective of, and appropriately react to children’s emotions. Current parental empathy assessment largely relies on self-report measures of dispositional empathy, but many argue parental empathy is distinct from dispositional empathy. Despite efforts to measure parental empathy implicitly, such analog approaches are labor intensive. The current report describes the preliminary development of the Empathy Measure for Parents Analog Task (EMPAT), two novel analog measures of parental empathy: one EMPAT analog uses audio stimuli and a second version uses written evocative scripts. After piloting with a sample of undergraduate students (Study 1), the measures were then administered to a sample of 212 parents (Study 2). For each study, the accuracy of the audio and script stimuli were first confirmed by examination of frequency distributions, then exploratory factor analyses were conducted to determine factor structure for each emotion subscale (i.e., Happy, Mad, Sad, Scared), and finally the composition of each emotion subscale was confirmed with scale reliability analyses. Correlations between each EMPAT version and measures of dispositional empathy, parental empathy, and positive parenting indicators were examined to assess the initial validity of the EMPAT measures. The new analog tasks demonstrated good reliability as well as preliminary evidence of validity, with potential utility in assessing cognitive elements of empathy in particular. With continued efforts to examine measure validity, the implications of these studies suggest the EMPAT tasks show promise in providing improved implicit, efficient assessments of child-directed empathy, which may be important for understanding positive and problematic parenting.

A low-power 10-bit 0.01-to-12-MS/s asynchronous SAR ADC in 65-nm CMOS

During the last decades we have witnessed the performance improvement and the aggressive growth of the complexity of integrated circuits (ICs). The progressive size reduction of transistors in recent technological nodes has allowed and even compelled IC designers to perform analog tasks in the digital domain, increasing the demand for analog-to-digital converters (ADCs). This work presents the design and implementation of a low power, differential, asynchronous successive approximation register analog-to-digital converter (SAR ADC) in a 65-nm CMOS technology. The ADC works in a flexible range of sampling rates, from a few kS/s up to 12.0 MS/s, being suitable for application in a wide spectrum of low power systems and subsystems, such as biosignal recorder interfaces and frontend of wireless receivers. At maximum sampling rate, the post-layout simulated circuit achieved an effective number of bits (ENOB) of 9.65 and a power consumption of 151.4 µW, leading to a Figure of Merit of 15.8 fJ/Conversion-step; at 10.0 kS/s sampling rate, the ENOB is almost the same, 9.63, but the power consumption is reduced to only 0.26 µW. The occupied area of the implemented ADC is 0.074 mm2.

Using Analog Tasks to Assess Children's Social Communication Skills

Purpose This tutorial addresses the use of analog tasks to assess social communication abilities in toddlers through adolescents. In analog tasks, clinicians manufacture situations that give rise to naturalistic social dilemmas (or dilemmas “analogous” to ones encountered in everyday interactions); the result is a sample of children's spontaneous, real-time, social communication performance, targeting specific behaviors of interest. Method/Results Potential social communication behaviors to be assessed and the critical impact of contextual factors on those behaviors are discussed. Next, analog tasks are defined, and their clinical benefits relative to other types of informal assessments are described. Several research-developed analog tasks, along with their key characteristics, are presented to illustrate these benefits and provide a starting place for clinicians to add analog tasks to their clinical toolbox. Finally, the process of developing analog tasks is described and applied in an example and associated case study, which together highlight the utility of analog tasks in identifying social communication deficits and potential strategies to facilitate intervention. Conclusions Improving clinicians' understanding, access to, and use of analog tasks will offer new ecologically valid assessment tools that efficiently capture representative and generalizable social communication performance and highlight specific strengths and weaknesses in context. Such results can provide a strong foundation for clinical decision making and improve the services provided to children with social communication disorders.

A-181 Comparing Virtual Reality and Analog Prospective Memory Performance

Abstract Objective A virtual reality-based prospective memory task was designed to examine whether a virtual environment would allow for a deeper level of processing and aid prospective memory performance. The purpose of this study was to compare young adults’ performance on analog and virtual reality-based prospective memory tasks. Method Young adult college students (N = 40; ages 18–26) completed both analog and virtual reality prospective memory tasks in the Virtual Kitchen Protocol. Results A within-subjects analysis of variance found that participants performed better on the analog prospective memory task than in virtual reality, F(1,39) = 12.46, p = .001. Conclusions Results suggest that the virtual environment served as a source of distraction rather than a memory aid for young adults’ prospective memory ability. However, this added level of distraction may mimic everyday prospective memory settings better than traditional analog tasks, suggesting that virtual prospective memory tasks may be able to better assess everyday prospective memory abilities.

A-183 A Preliminary Study of Comfort with Computers and Analog Tasks in Relation to Older Adults’ Performance in Virtual Reality

Abstract Objective Neuropsychologists are using virtual reality to simulate everyday activities in order to increase ecological validity in neuropsychological assessments (Kane & Parsons, 2017). However, relatively little is known about the extent to which comfort with computers and analog tasks influences older adults’ performance on virtual reality-based tasks. Methods Healthy older adults (N = 42) rated how comfortable they are with computers and cooking meals in daily life and completed the Virtual Kitchen Protocol, a measure of procedural learning and memory for meal preparation tasks. Results Both higher comfort with cooking meals in a real kitchen and higher comfort with computers were associated with better learning, immediate recall, and delayed recall of the procedural task in virtual reality. However, comfort with computers did not explain a significant amount of variance in performance beyond comfort cooking in a real kitchen. Conclusion While both comfort with computers and analog versions of tasks may relate to older adults’ learning and memory in virtual reality, performance may be primarily related to analog abilities.

Testosterone Associations With Parents' Child Abuse Risk and At-Risk Parenting: A Multimethod Longitudinal Examination.

The current investigation considered salivary testosterone as a potential biomarker of physical child abuse risk. Parents enrolled in a prospective, longitudinal, multimethod study beginning prenatally provided saliva when their toddlers were 18 months old. Mothers and fathers self-reported on their empathy, frustration tolerance, and child abuse risk, as well as completing analog tasks of frustration intolerance and child abuse risk and participating in structured parent-child interactions. In contrast to mothers, fathers' higher testosterone levels were associated with increased child abuse risk, less observed positive parenting, more observed negative parenting, and an analog task of frustration intolerance; such findings were reflected across time. Further, fathers' socioeconomic status moderated the association between testosterone levels and abuse risk. No evidence of partner effects was observed in dyadic analyses. The current findings suggest that higher testosterone levels reflect an increased likelihood that paternal physically abusive behavior may be expressed.

4104 Development and validation of parental empathy analog tasks

OBJECTIVES/GOALS: Parents’ empathy toward their children affects their parenting, which can in turn impact child outcomes. Although parental empathy is theoretically distinct from trait empathy, current literature relies on largely self-report measures of parents’ trait empathy. Thus, the current study evaluated new analog assessments of parental empathy. METHODS/STUDY POPULATION: One parental empathy analog measure (Empathy Measure for Parents Analog Task, Emotion Script; EMPAT-ES) was created based on parents’ responses to open ended prompts describing scenarios that elicit different emotions (e.g., happy, mad, sad, scared) in children. These responses were used to create short scripts. A second analog task (EMPAT, Emotion Audio) was created using 20 sec audio clips of children expressing the different emotions wherein participants respond with how they feel hearing the emotions and separately, how they believe the child feels. After an initial pilot, both versions of the EMPAT-E were administered to 120 families enrolled in a prospective longitudinal study. Parents completed self-report measures of trait empathy and parental empathy, as well as the EMPAT-ES and EMPAT-EA analog tasks. RESULTS/ANTICIPATED RESULTS: Internal consistency of both the EMPAT-ES and EMPAT-EA tasks are expected to be robust, demonstrating the reliability of these novel assessments of parental empathy. Results are also expected to demonstrate the construct and convergent validity of both analog tasks. These new measures of parental empathy are expected to be significantly associated with measures of trait empathy. Specifically, parents’ responses indicating how they believe the child feels in the analog are expected to be strongly related to their reported emotion recognition abilities and responses indicating how analog items made parents feel are expected to be related to parents’ empathic concern. Finally, parents’ responses to the analog tasks are anticipated to be strongly associated with parents’ self-reported parental empathy. DISCUSSION/SIGNIFICANCE OF IMPACT: Valid, novel assessments of parental empathy can impact the parenting literature as well as community intervention and prevention efforts with parents. Such analog tasks can bolster parenting research but they may also be translated to the community setting as a training tool wherein parents are taught new skills that promote more positive parenting.

Predicting Maternal and Paternal Parent-Child Aggression Risk: Longitudinal Multimethod Investigation using Social Information Processing Theory.

Given the costly outcomes associated with the physical abuse and harsh discipline of children, identifying pathways leading parents to engage in parent-child aggression (PCA) are critical to prevention and intervention efforts. One model that attempts to identify the processes involved in increasing parents' risk is an adaptation of Social Information Processing (SIP) theory. The current study investigated whether elements of SIP theory assessed prenatally can predict later PCA risk in a diverse sample of mothers and fathers. This evaluation controlled for parents' current level of personal vulnerabilities (psychopathology, substance use, domestic violence) or resiliencies (social support, partner satisfaction, coping) to determine the predictive value of the SIP processes in particular. This study used a multimethod approach that included several analog tasks. Dyadic analyses were conducted to contrast 196 mothers and their partners who were enrolled prenatally and then re-assessed when their infants were 6 months old. Findings indicate that poor empathy assessed prenatally was associated with greater overreactivity and more negative attributions regarding children's behavior which in turn predicted later PCA risk. Moreover, attitudes approving the use of PCA predicted later PCA risk largely due to its connection with negative child attributions, less knowledge of non-physical discipline alternatives, and higher compliance expectations. The results suggest that elements of the SIP theory can be identified prenatally to estimate later risk of PCA, with some differences in profiles between mothers and fathers. Future directions for evaluating the SIP model and its implications for prevention and intervention are discussed.

Creating computerized experimental analogs for behavior analytic research.

Experimental analogs take defining features of socially important contexts and recreate them in controlled laboratory settings in order to identify cause–effect environment–behavior relations. Computerized experimental analog tasks allow researchers to investigate issues that are difficult to study

Multimethod prediction of child abuse risk in an at-risk sample of male intimate partner violence offenders

The vast majority of research on child abuse potential has concentrated on women demonstrating varying levels of risk of perpetrating physical child abuse. In contrast, the current study considered factors predictive of physical child abuse potential in a group of 70 male intimate partner violence offenders, a group that would represent a likely high risk group. Elements of Social Information Processing theory were evaluated, including pre-existing schemas of empathy, anger, and attitudes approving of parent-child aggression considered as potential moderators of negative attributions of child behavior. To lend methodological rigor, the study also utilized multiple measures and multiple methods, including analog tasks, to predict child abuse risk. Contrary to expectations, findings did not support the role of anger independently predicting child abuse risk in this sample of men. However, preexisting beliefs approving of parent-child aggression, lower empathy, and more negative child behavior attributions independently predicted abuse potential; in addition, greater anger, poorer empathy, and more favorable attitudes toward parent-child aggression also exacerbated men’s negative child attributions to further elevate their child abuse risk. Future work is encouraged to consider how factors commonly considered in women parallel or diverge from those observed to elevate child abuse risk in men of varying levels of risk.

Parent-Child Aggression Risk in Expectant Mothers and Fathers: A Multimethod Theoretical Approach.

The current investigation evaluated whether cognitive processes characteristic of the Social Information Processing model predicted parent-child aggression (PCA) risk independent of personal vulnerabilities and resiliencies. This study utilized a multimethod approach, including analog tasks, with a diverse sample of 203 primiparous expectant mothers and 151 of their partners. Factors considered in this study included PCA approval attitudes, empathy, reactivity, negative child attributions, compliance expectations, and knowledge of non-physical discipline alternatives; additionally, vulnerabilities included psychopathology symptoms, domestic violence victimization, and substance use, whereas resiliencies included perceived social support, partner relationship satisfaction, and coping efficacy. For both mothers and fathers, findings supported the role of greater approval of PCA attitudes, lower empathy, more overreactivity, more negative attributions, and higher compliance expectations in relation to elevated risk of PCA. Moreover, personal vulnerabilities and resiliencies related to PCA risk for mothers; however, fathers and mothers differed on the nature of these relationships with respect to vulnerabilities as well as aspects of empathy and PCA approval attitudes. Findings provide evidence for commonalities in many of the factors investigated between mothers and fathers with some notable distinctions. Results are discussed in terms of how findings could inform prevention programs.

DoIP Interfacer System: A Low-Cost Alternative to Computer for Basic Network Communication in LAN Environment

Problem statement: Computer, very important to human society because of its capability in performing complex task. Questions were raised on the practicality of using computer for basic network communication where cost, portability and flexibility are major concerns. Explore a low-cost alternative to computer for basic network communication in LAN environment which consumes less power and portable as well as to develop a system, namely DoIP Interfacer System (DIS) to perform basic tasks of remote controlling, serial port interfacing, message (text) communication and voice communication. The device will be able to communicate to other similar devices as well as computers within the network. Approach: A modular, pick ‘n’ mix approach of developing a system consisting of function specific boards/modules was undertaken. In total, 2 modules were created which are DoIP Interfacer-Digital (DID) to perform digital tasks such as network communication and remote control; DoIP Interfacer-Analog (DIA) to perform analog tasks such as capturing and playing out of voice signals (for voice communication). To demonstrate serial port interfacing, UART Demonstration Board (UDB) was also created to display messages received by DID. A graphical user interface (GUI) known as DoIP Interfacer GUI (DIG) was also created in C# as part of the system to enable communication between DID and computer. Results: DIS was able to perform three of the four tasks which were remote controlling, serial port interfacing and message communication. However, it was not able to perform voice communication successfully. More research, experiment and testing will need to be carried on find the solution for this problem. Conclusion: These results showed that DoIP Interfacer System (DIS) had the potential to replace computer for basic network communication. With more research, experiment and testing, the function of DIS can be increased module by module.

The minor oral surgery outcome scale: A multi-attribute patient-derived outcome measure

Purpose: The purpose of this study was to produce a clinically useful, patient-derived, minor oral surgery outcome scale. Patients and Methods: Seventy-seven consecutive patients scheduled for minor oral surgery were interviewed using semistructured interview techniques to identify those areas of life (domains) that patients believed will be affected by minor oral surgery. These interviews were analyzed by a multidisciplinary panel and a scale based on 5 domains, each with 4 outcome statements was constructed. The domains and outcome statements were weighted in terms of importance by a further consecutive sample of 100 patients using resource allocation and visual analog tasks. An additive mathematical formula was applied to the mean weights for each domain and outcome states to produce the final weighted scale. Results: Five domains were identified from the interviews and weighted according to their order of importance (0 to 100 scale; 0 = least important). These were general health and well-being (24.6); impact on home/social life (20.8); health and comfort of the mouth, teeth, and gums (20.0); appearance (18.8); and impact on job/studies (15.8). Conclusion: A clinically applicable, multi-attribute outcome scale has been produced that takes into account all determinants of health outcome as perceived by the patient in the context of minor oral surgery. It is completed by selecting a weighted statement from each domain, the sum of which constitutes the patient's health state utility score. The scale has potentially extensive application to both clinical care and research. © 2000 American Association of Oral and Maxillofacial Surgeons