Miracle-dz/UniFAR-FTUs huggingface dataset:
Neural Correlates of Empathy in Boys With Early Onset Conduct Disorder

Background: A deficit in empathy has repeatedly been described in individuals with conduct disorder (CD), and in particular in those with callous unemotional traits. Until now, little is known about the neural basis of empathy in children and adolescents with early onset conduct disorder. The aim of this study was to examine neural responses during empathizing in children and adolescents with CD with a task that allowed to differentiate between the judgment of the emotional states of other people and the own emotional response to other people's emotional state. Moreover, we investigated associations of callous-unemotional traits and neural activations during empathizing. Methods: Using functional magnetic resonance imaging (fMRI) we investigated 14 boys with early onset CD and 15 typically developing (TDC) age matched controls between 8 and 16 years of age. Happy and sad faces were presented, and participants were asked to either infer the emotional state from the face (other-task) or to judge their own emotional response (self-task). A perceptual decision on faces was used as a control task. Individual empathic abilities and callous unemotional traits were assessed. Results: During the other task, TDC boys showed significantly larger right amygdala responses than CD boys. Higher empathic abilities (as assessed with the Bryant Index of Empathy) were associated with higher responses in the right amygdala within the CD boys and across the entire sample. Moreover, across the entire sample, callous-unemotional traits were negatively related to the BOLD-response in the right amygdala. CD boys showed larger responses in the dorsal and ventral medial prefrontal cortex across tasks and increased activation in dorsal medial prefrontal cortex specifically during the self-conditions, which were also related to empathic abilities within the CD boys. Conclusions: The data emphasize the important role of the amygdala in empathy related emotional processing. Diminished amygdala responses and their association with low empathy suggest a pivotal influence of impaired amygdala processing in early-onset CD, in particular for deficits in empathic behavior and related callous-unemotional-traits. Elevated response in the medial prefrontal cortex in boys with CD point toward increased involvement of brain areas related to self-referential processing and cognitive empathy during empathizing.
The Interactive Effect of Board Monitoring and Chief Information Officer Presence on Information Technology Investment

ABSTRACT We investigate the impact of board monitoring on information technology (IT) investment, and the chief information officer (CIO) presence’ role on this relationship. We argue that firms with a vigilant board of directors will devote greater funds to IT. The results indicate that the outside directors’ ratio positively influences IT investment, but the chief executive officer duality negatively influences it. Further, the CIO presence weakens the relationship between the outside directors’ ratio and IT investment.
Domesticating algorithms: An exploratory study of Facebook users in Myanmar

Abstract This exploratory study investigates the encounters and everyday experiences with the Facebook algorithm of 18 informants in Yangon, Myanmar. It draws on domestication theory and research on algorithms to understand how users come to use and respond to Facebook. Findings showed that their particular perception of Facebook algorithm—Friends funnel information—informs their domestication process, wherein they add strangers as Friends to draw more information flows to their News Feeds.
Linking Excessive SNS Use, Technological Friction, Strain, and Discontinuance: The Moderating Role of Guilt

ABSTRACT The study investigates how the excessive use of social networking sites (SNSs) on smartphones for social, hedonic, and cognitive purposes leads to three types of technological friction; namely, friction between technology and family, technology and work, and technology and personal health (T-FWP friction), with moderating role of guilt feelings, results in strain and consequently intention to discontinue the use of SNSs. Time-lagged data collected from 505 smartphone-based SNS users provide general support to our hypotheses.
An Integrative Framework on Mobile Banking Success

ABSTRACT This paper explores mobile banking (MB) acceptance and use through subjective measures (self-reported data) and objective measures (computer-recorded log data) with an integrative behavioral framework that combines UTAUT and IS Success models. The purpose of this framework is to determine the influence of both system-oriented and non-system-oriented factors on user behavior with MB use. SEM regression results are contrasted with both subjective and objective system use. Study’s contributions are communicated to the theory and practice.
Design of functional interval observers for nonlinear fractional-order interconnected systems

ABSTRACT In this paper, we address problem of distributed functional interval observers for a class of nonlinear fractional-order interconnected systems with bounded uncertainties. The system under consideration is formed by N () interconnected subsystems. We first design N stand-alone distributed functional interval observers for the system. The designed interval observer for each subsystem is based on the local outputs, known bounds of the local uncertainty and additional outputs from other subsystems but without the need to exchange the state estimates among the observers. Then, conditions for the existence of such distributed functional interval observers are derived and an effective algorithm for computing unknown observer matrices is provided. Finally, two numerical examples and simulation results are given to illustrate the effectiveness of the proposed design method.
Stable variation in multidimensional competition

The Fundamental Theorem of Language Change (Yang, 2000) implies the impossibility of stable variation in the Variational Learning framework, but only in the special case where two, and not more, grammatical variants compete. Introducing the notion of an advantage matrix, I generalize Variational Learning to situations where the learner receives input generated by more than two grammars, and show that diachronically stable variation is an intrinsic feature of several types of such multiple-grammar systems. This invites experimentalists to take the possibility of stable variation seriously and identifies one possible place where to look for it: situations of complex language contact.
Social support for patients with type 2 diabetes and metabolic control of the disease

Objectives. To achieve normoglycaemia and maintain correct parameters of disease compensation, as well as analysis of the impact of social support on the values of metabolic control parameters of type 2 diabetes. Materials and method. The study involved 79 patients with type 2 diabetes staying in a diabetology clinic. To collect the research material, the Social Support Scale (S4-MAD) and the results of patient measurements and tests were used, such as blood pressure, weight, height, and laboratory test results: glycated haemoglobin, full lipidogram (triglycerides, total cholesterol, LDL and HDL). Results. Patients received the most support in the field of nutrition (S = 46.9/100 points), the least in the field of foot care (S = 25.3/100 points). With the increase in social support in 4 sub-scales of the MAD-4 scale, a decrease in diastolic blood pressure was demonstrated. Greater support in the area of self-control resulted in lowering the total cholesterol value, in the area of cigarette smoking, in lowering systolic and diastolic pressure. Conclusions. Patients who receiving higher social support have better metabolic control results. Due to the low level of social support for patients with diabetes, healthcare professionals should include family members in education and care whenever possible to provide more support to patients and pay more attention to non-clinical factors in addressing diabetes-related problems. They should also remember that interventions based on psychosocial approaches may not necessarily improve the metabolic control assessed by the values of clinical indicators, but they can affect the quality of life of patients.
The association between maternal employment and child survival in India, 1998–99 and 2005–06

ABSTRACT While many studies contend that a mother's economic activity may generate positive outcomes for both mother and children, empirical results from less developed countries actually indicate higher mortality rates among children of working mothers. This article examines the association between maternal employment and child survival using India's National Family Health Survey. Using propensity score matching, the study compares working with matched nonworking mothers in child's risk of death. To address the heterogeneous nature of working mothers, the employment-survival relationship is analysed across various occupational categories. A supplementary analysis examines gaps between children of working and nonworking mothers in nutritional status and low birth weight (LBW). Our results show that high risk of mortality and low nutritional status are more pronounced among children of mothers working in low-status occupations. The results indicate insignificant differences in LBW, a finding that favours the explanation that the mortality disadvantage of children of working mothers emerges primarily after birth most likely because of inadequate childcare. The article discusses these findings in relation to various potential mechanisms mediating the negative association between maternal employment and child survival.
Microphysiological Systems: A Pathologist’s Perspective

High-throughput in vitro models lack human-relevant complexity, which undermines their ability to accurately mimic in vivo biologic and pathologic responses. The emergence of microphysiological systems (MPS) presents an opportunity to revolutionize in vitro modeling for both basic biomedical research and applied drug discovery. The MPS platform has been an area of interdisciplinary collaboration to develop new, predictive, and reliable in vitro methods for regulatory acceptance. The current MPS models have been developed to recapitulate an organ or tissue on a smaller scale. However, the complexity of these models (ie, including all cell types present in the in vivo tissue) with appropriate structural, functional, and biochemical attributes are often not fully characterized. Here, we provide an overview of the capabilities and limitations of the microfluidic MPS model (aka organs-on-chips) within the scope of drug development. We recommend the engagement of pathologists early in the MPS design, characterization, and validation phases, because this will enable development of more robust and comprehensive MPS models that can accurately replicate normal biology and pathophysiology and hence be more predictive of human responses.
A Comparison of Bone‐Targeted Exercise Strategies to Reduce Fracture Risk in Middle‐Aged and Older Men with Osteopenia and Osteoporosis: LIFTMOR‐M Semi‐Randomized Controlled Trial

The Lifting Intervention For Training Muscle and Osteoporosis Rehabilitation for Men (LIFTMOR‐M) trial examined efficacy and safety of two novel exercise programs in older men with low BMD. Men with low hip and/or LS BMD were randomized to high‐intensity progressive resistance and impact training (HiRIT) or machine‐based isometric axial compression (IAC) and compared to a nonrandomized matched control (CON). Outcomes included: hip and LS BMD; calcaneal ultrasound parameters; anthropometry; body composition; function (timed up‐and‐go [TUG], five‐times sit‐to‐stand [FTSTS]); back extensor strength (BES); leg extensor strength (LES); compliance and adverse events. Ninety‐three men (67.1 ± 7.5 years; 82.1 ± 11.6 kg; 175.2 ± 6.7 cm; FN T‐score −1.6 ± 0.6) were randomized to HiRIT (n = 34) or IAC (n = 33), or allocated to CON (n = 26). HiRIT improved trochanteric BMD (2.8 ± 0.8%; −0.1 ± 0.9%, p = .024), LS BMD (4.1 ± 0.7%; 0.9 ± 0.8%, p = .003), BUA (2.2 ± 0.7%; −0.8 ± 0.9%, p = .009), stiffness index (1.6 ± 0.9%; −2.0 ± 1.1%, p = .011), lean mass (1.5 ± 0.8%; −2.4 ± 0.9%, p = .002), TUG, FTSTS, BES, and LES (p < .05) compared with CON. IAC improved lean mass (0.8 ± 0.8%; −2.4 ± 0.9%, p = .013) and FTSTS (−4.5 ± 1.6%; 7.5 ± 2.0%, p < .001) compared with CON. HiRIT improved LS BMD (4.1 ± 0.7%; 2.0 ± 0.7%, p = .039), stiffness index (1.6 ± 0.9%; −1.3 ± 0.9%, p = .025), and FTSTS (−10.7 ± 1.6%; −4.5 ± 1.7%, p = .010) compared with IAC. Exercise compliance was high (HiRIT 77.8 ± 16.6%; IAC 78.5 ± 14.8%, p = .872). There were five minor adverse events (HiRIT, 2; IAC, 3). HiRIT was well‐tolerated and improved bone, function and fracture risk more than CON or IAC. © 2020 American Society for Bone and Mineral Research.
PTSD, but not history of mTBI, is associated with altered myelin in combat-exposed Iraq and Afghanistan Veterans

Abstract Objective To investigate the biological, cognitive, and psychological presentations of combat-exposed Veterans with a history of mild traumatic brain injury (mTBI) and/or posttraumatic stress disorder (PTSD) using a novel white matter imaging technique and comprehensive neuropsychological assessment. Method 74 Iraq and Afghanistan Veterans (mean age 33.89, 90.5% male) with history of mTBI (average 7.25 years since injury), PTSD, both, or neither underwent magnetic resonance imaging (MRI) exams including acquisition of a novel imaging technique, multicomponent-driven equilibrium single-pulse observation of T1/T2 (mcDESPOT) to quantify myelin water fraction (MWF), a surrogate measure of myelin content. Participants also underwent comprehensive neuropsychological assessment and three cognitive composite scores (memory, working memory/processing speed, and executive functioning) were created. Results There were no significant group differences on the neuropsychological composite scores. ANCOVAs revealed a main effect of PTSD across all a priori regions of interest (ROI) in which PTSD was associated with higher MWF. There was no main effect of mTBI history or TBI by PTSD interaction on any ROI. Significant positive associations were observed between myelin and PTSD symptoms, but no significant associations were found between myelin and neurobehavioral symptoms. No significant associations were found between myelin in the a priori ROIs and the cognitive composite scores. Conclusion This study did not find neuropsychological or MWF differences in combat Veterans with a remote history of mTBI but did find myelin alterations related to PTSD. Psychological trauma should be a primary target for intervention in Veterans with comorbid PTSD and mTBI reporting subjective complaints, given its salience.
Social behavioural adaptation in Autism

Autism is still diagnosed on the basis of subjective assessments of elusive notions such as interpersonal contact and social reciprocity. We propose to decompose reciprocal social interactions in their basic computational constituents. Specifically, we test the assumption that autistic individuals disregard information regarding the stakes of social interactions when adapting to others. We compared 24 adult autistic participants to 24 neurotypical (NT) participants engaging in a repeated dyadic competitive game against artificial agents with calibrated reciprocal adaptation capabilities. Critically, participants were framed to believe either that they were competing against somebody else or that they were playing a gambling game. Only the NT participants did alter their adaptation strategy when they held information regarding others' competitive incentives, in which case they outperformed the AS group. Computational analyses of trial-by-trial choice sequences show that the behavioural repertoire of autistic people exhibits subnormal flexibility and mentalizing sophistication, especially when information regarding opponents’ incentives was available. These two computational phenotypes yield 79% diagnosis classification accuracy and explain 62% of the severity of social symptoms in autistic participants. Such computational decomposition of the autistic social phenotype may prove relevant for drawing novel diagnostic boundaries and guiding individualized clinical interventions in autism.
Modelling the early expressive communicative trajectories of infants/toddlers with early cochlear implants

Abstract For children with normal hearing (NH), early communication skills predict vocabulary, a precursor to grammar. Growth in early communication skills of infants with cochlear implants (CIs) was investigated using the Early Communication Indicator (ECI), a play-based observation measure. Multilevel linear growth modelling on data from six ECI sessions held at three-monthly intervals revealed significant growth overall, with a non-significant slower growth rate than that of children with NH (comparison age centred at 18 months). Analyses of gesture use and of nonword vocalisations revealed the CI group used significantly more of each, with more rapid growth. In contrast, the CI group used significantly fewer single words and multiword utterances, and with slower growth. Maternal education and time to achieve consistent CI use impacted significantly on growth for the CI sample. The results indicate that progression to vocabulary by young CI users can be supported by encouraging their use of prelinguistic communication.
Associations between redox‐sensitive trace metals and microbial communities in a Proterozoic ocean analogue

Constraints on Precambrian ocean chemistry are dependent upon sediment geochemistry. However, diagenesis and metamorphism can destroy primary biosignatures, making it difficult to consider biology when interpreting geochemical data. Modern analogues for ancient ecosystems can be useful tools for identifying how sediment geochemistry records an active biosphere. The Middle Island Sinkhole (MIS) in Lake Huron is an analogue for shallow Proterozoic waters due to its low oxygen water chemistry and microbial communities that exhibit diverse metabolic functions at the sediment–water interface. This study uses sediment trace metal contents and microbial abundances in MIS sediments and an oxygenated Lake Huron control site (LH) to infer mechanisms for trace metal burial. The adsorption of trace metals to Mn‐oxyhydroxides is a critical burial pathway for metals in oxic LH sediments, but not for the MIS mat and sediments, consistent with conventional understanding of Mn cycling. Micronutrient trace metals (e.g., Zn) are associated with organic matter regardless of oxygen and sulfide availability. Although U and V are conventionally considered to be organically complexed in suboxic and anoxic conditions, U and organic covary in oxic LH sediments, and Mn‐oxyhydroxide cycling dominates V deposition in the anoxic MIS sediments. Significant correlations between Mo and organic matter across all redox regimes have major implications for our interpretations of Mo isotope systematics in the geologic record. Finally, while microbial groups vary between the sampling locales (e.g., the cyanobacteria in the MIS microbial mat are not present in LH sediments), LH and MIS ultimately have similar relationships between microbial assemblages and metal burial, making it difficult to link trace metal burial to microbial metabolisms. Together, these results indicate that bulk sediment trace metal composition does not capture microbiological processes; more robust trace metal geochemistry such as isotopes and speciation may be critical for understanding the intersections between microbiology and sediment geochemistry.
Postsynaptic effects of Aplysia cysteine-rich neurotrophic factor in the induction of activity-dependent long-term facilitation in Aplysia californica

The spatial and temporal coordination of growth factor signaling is critical for both presynaptic and postsynaptic plasticity underlying long-term memory formation. We investigated the spatiotemporal dynamics of Aplysia cysteine-rich neurotrophic factor (ApCRNF) signaling during the induction of activity-dependent long-term facilitation (AD-LTF) at sensory-to-motor neuron synapses that mediate defensive reflexes in Aplysia. We found that ApCRNF signaling is required for the induction of AD-LTF, and for training-induced early protein kinase activation and late forms of gene expression, exclusively in postsynaptic neurons. These results support the view that ApCRNF is critically involved in AD-LTF at least in part through postsynaptic mechanisms.
Lateral propagation–induced subduction initiation at passive continental margins controlled by preexisting lithospheric weakness

Subduction initiation at weakened passive continental margin could be induced by lateral propagation of existing subduction zones. Understanding the conditions for forming new subduction zones at passive continental margins is important for understanding plate tectonics and the Wilson cycle. Previous models of subduction initiation (SI) at passive margins generally ignore effects due to the lateral transition from oceanic to continental lithosphere. Here, we use three-dimensional numerical models to study the possibility of propagating convergent plate margins from preexisting intraoceanic subduction zones along passive margins [subduction propagation (SP)]. Three possible regimes are achieved: (i) subducting slab tearing along a STEP fault, (ii) lateral propagation–induced SI at passive margin, and (iii) aborted SI with slab break-off. Passive margin SP requires a significant preexisting lithospheric weakness and a strong slab pull from neighboring subduction zones. The Atlantic passive margin to the north of Lesser Antilles could experience SP if it has a notable lithospheric weakness. In contrast, the Scotia subduction zone in the Southern Atlantic will most likely not propagate laterally.
Predictions drive neural representations of visual events ahead of incoming sensory information

Significance Visual information takes time to travel from the retina and through the visual system, such that the sensory information available to the brain lags behind events in the present moment. Prediction has long been considered a fundamental principle in neuroscience. Using time-resolved EEG decoding, we show that predictive mechanisms are sufficient to activate sensory-like neural representations of anticipated future events, and that these representations are activated before the arrival of afferent sensory information. This reveals that predictive neural mechanisms might allow the visual system to overcome its neural processing delays and interact with our environment in real time. The transmission of sensory information through the visual system takes time. As a result of these delays, the visual information available to the brain always lags behind the timing of events in the present moment. Compensating for these delays is crucial for functioning within dynamic environments, since interacting with a moving object (e.g., catching a ball) requires real-time localization of the object. One way the brain might achieve this is via prediction of anticipated events. Using time-resolved decoding of electroencephalographic (EEG) data, we demonstrate that the visual system represents the anticipated future position of a moving object, showing that predictive mechanisms activate the same neural representations as afferent sensory input. Importantly, this activation is evident before sensory input corresponding to the stimulus position is able to arrive. Finally, we demonstrate that, when predicted events do not eventuate, sensory information arrives too late to prevent the visual system from representing what was expected but never presented. Taken together, we demonstrate how the visual system can implement predictive mechanisms to preactivate sensory representations, and argue that this might allow it to compensate for its own temporal constraints, allowing us to interact with dynamic visual environments in real time.