University of Southern California

This study investigated how corporate social responsibility, adherence to social missions, organisation–public relationships outcomes, and corporate reputation influence the purchase intentions for social enterprises’ products. Through a survey of Taiwanese consumers (N = 507) in online channels, results suggested that corporate social responsibility and adherence to social missions indirectly influenced purchase intentions through organisation−public relationships and corporate reputation. However, the direct effect of corporate social responsibility on organisation–public relationship outcomes was nonsignificant. Adherence to social missions acted as a more important factor than corporate social responsibility in generating purchase intentions, indicating the importance of social missions in the social enterprise context.

Electronic design automation solutions are being developed to support the synthesis and physical design optimization of Rapid Single Flux Quantum (RSFQ) logic circuits with hundreds of thousands of logic cells. The clocked feature of synchronous RSFQ cells results in gate-level pipelined designs, requiring a large number of path-balancing D-flipflops (DFFs). In addition, one also faces the challenge of maintaining high throughput for RSFQ circuits containing feedback loops. To enforce the coincidence of the input and feedback patterns, one can apply a new input pattern every $L$ cycles, where $L$ is the length of the feedback loop. Consequently, the throughput of circuits with feedback loops is only $1/L$ of the clock frequency. In this paper, we present two methods to improve the performance and area of RSFQ circuits, especially targeting circuits with feedback loops: (i) An area-oriented optimization method that removes the path-balancing DFFs by capturing and repeating input patterns. (ii) A throughput-oriented optimization method that enables an RSFQ circuit to receive and correctly process an input pattern every clock cycle. For a large circuit such as S526 in the ISCAS89 benchmark circuits, the circuit can initially receive an input pattern only every 9 cycles. As a result of applying our area-oriented optimization, the circuit admits 33% fewer logic cells while receiving input patterns every 11 cycles. Alternatively, our throughput-oriented optimization yields a circuit that can receive new input patterns on every cycle with nearly the same cell count.

The main challenge for the hardware implementation of spiking neural networks is the design of a reliable neuron. Soma, which is the nucleus of the neuron, is a key part of such a design. More precisely, the soma design must accurately capture the excitatory/inhibitory interactions, intrinsic charge dynamics, refractory period, spike encoding, neuronal action potential, and output spike firing processes in order to mimic the corresponding biological processes. This work presents the design of an artificial soma cell with excitatory and inhibitory inputs, called $\alpha$ -Soma. The key idea is to design and employ a new interconnect cell, named $\alpha$ -cell, and integrate this cell within the proposed soma cell design. The design implementation utilizes the Rapid Single Flux Quantum (RSFQ) logic circuit technology. We demonstrate the correct functionality, high performance, and energy efficiency of the proposed $\alpha$ -Soma cell with detailed circuit simulations under different spiking conditions.

Logical equivalence checking is one of the most effective verification steps in the entire design process of integrated circuits. However, it faces challenges in emerging technologies due to differences between its logic models and those of the standard complementary metal oxide semiconductor (CMOS). This paper presents qSC, an equivalence checking framework targeting sequential circuits mapped to rapid superconducting single-flux-quantum (RSFQ) logic circuits. In addition to a logical checking module, qSC also includes several structural checking modules. The structural checking modules are used to check whether the circuit meets the design rules of superconducting RSFQ logic circuits. The main difficulty of verifying nonlinear sequential circuits is in finding the levels of logic cells in the circuit for full-path-balancing checking for which the conventional topological sorting algorithm of acyclic digraphs is not applicable. The key is to define and calculate levels for nodes in a cyclic graph and to avoid any loop trap. Hence, a new algorithm is presented for full-path-balancing checking of the cyclic digraph that satisfies all of these desirable features. The experimental results show the feasibility of qSC on sequential circuits implemented in RSFQ technologies.

Despite the recent success of Deep Reinforcement Learning (DRL) in self-driving cars, robotics and surveillance, training DRL agents takes tremendous amount of time and computation resources. In this paper, we aim to accelerate DRL with Prioritized Replay Buffer due to its state-of-the-art performance on various benchmarks. The computation primitives of DRL with Prioritized Replay Buffer include environment emulation, neural network inference, sampling from Prioritized Replay Buffer, updating Prioritized Replay Buffer and neural network training. The speed of running these primitives varies for various DRL algorithms such as Deep Q Network and Deep Deterministic Policy Gradient. This makes a fixed mapping of DRL algorithms inefficient. In this work, we propose a framework for mapping DRL algorithms onto heterogeneous platforms consisting of a multi-core CPU, a GPU and a FPGA. First, we develop specific accelerators for each primitive on CPU, FPGA and GPU. Second, we relax the data dependency between priority update and sampling performed in the Prioritized Replay Buffer. By doing so, the latency caused by data transfer between GPU, FPGA and CPU can be completely hidden without sacrificing the rewards achieved by agents learned using the target DRL algorithms. Finally, given a DRL algorithm specification, our design space exploration automatically chooses the optimal mapping of various primitives based on an analytical performance model. On widely used benchmark environments, our experimental results demonstrate up to 997.3× improvement in training throughput compared with baseline mappings on the same heterogeneous platform. Compared with the state-of-the-art distributed Reinforcement Learning framework RLlib, we achieve 1.06 $\times \sim$ 1005× improvement in training throughput.

Modern coral reefs and associated biodiversity are severely threatened by increasing terrestrial runoff. Similar scenarios could be suspected for geological times, but reef coral resilience is still an enigma. In late Visean-Serpukhovian (Mississippian foraminiferal zones/MFZ 14-16) times, a major glaciation phase of the late Palaeozoic Ice Age (LPIA) associated with enhanced terrestrial weathering and runoff coincides with a biodiversity crisis and coral reef decline. In this study, the impact of enhanced terrestrial runoff is tested on size variations of colonial corals Aulina rotiformis and Lithostrotion decipiens along a gradient of contemporaneous (Serpukhovian) open marine carbonate to near-shore siliciclastic facies in South China. Along this gradient, their sizes decrease from carbonate, through intermediate carbonate-siliciclastic, to siliciclastic facies. This is consistent with increasing abundance of terrestrial materials of high silicon, aluminium and phosphorus values. On a larger million-year-long interval (MFZ14-16) and for several palaeocontinents, size data of Lithostrotion decipiens and Siphonodendron pauciradiale show a distinct decline in late Visean, when enhanced terrestrial weathering occurred commonly with palaeosols developed during regression. This suggests that terrestrial sediment and nutrient input may have mainly controlled phenotypic plasticity in Mississippian reef corals, with a decrease in size as a component of resilience across the LPIA onset.

The development of future quantum devices such as the maser, i.e., the microwave analog of the laser, could be well-served by the exploration of chemically tunable organic materials. Current iterations of room-temperature organic solid-state masers are composed of an inert host material that is doped with a spin-active molecule. In this work, we systematically modulated the structure of three nitrogen-substituted tetracene derivatives to augment their photoexcited spin dynamics and then evaluated their potential as novel maser gain media by optical, computational, and electronic paramagnetic resonance (EPR) spectroscopy. To facilitate these investigations, we adopted an organic glass former, 1,3,5-tri(1-naphthyl)benzene to act as a universal host. These chemical modifications impacted the rates of intersystem crossing, triplet spin polarization, triplet decay, and spin−lattice relaxation, leading to significant consequences on the conditions required to surpass the maser threshold.

Background: A Mass Casualty Incident response (MCI) full scale exercise (FSEx) assures MCI first responder (FR) competencies. Simulation and serious gaming platforms (Simulation) have been considered to achieve and maintain FR competencies. The translational science (TS) T0 question was asked: how can FRs achieve similar MCI competencies as a FSEx through the use of MCI simulation exercises? Methods: T1 stage (Scoping Review): PRISMA-ScR was conducted to develop statements for the T2 stage modified Delphi (mD) study. 1320 reference titles and abstracts were reviewed with 215 full articles progressing for full review leading to 97 undergoing data extraction.T2 stage (mD study): Selected experts were presented with 27 statements derived from T1 data with instruction to rank each statement on a 7-point linear numeric scale, where 1 = disagree and 7 = agree. Consensus amongst experts was defined as a standard deviation ≤ 1.0. Results: After 3 mD rounds, 19 statements attained consensus and 8 did not attain consensus. Conclusions: MCI simulation exercises can be developed to achieve similar competencies as FSEx by incorporating the 19 statements that attained consensus through the TS stages of a scoping review (T1) and mD study (T2), and continuing to T3 implementation, and then T4 evaluation stages.

This longitudinal study compared infant temperament rated at 3 months postpartum by 263 United-States-based women who gave birth during the COVID-19 pandemic and 72 who gave birth prior to the pandemic. All women completed questionnaires assessing perinatal mental health, social contact, and infant temperament. Mothers whose infants were born during the pandemic reported higher levels of infant negative affectivity as compared with mothers whose infants were born earlier (F(1, 324) = 18.28, p < .001), but did not differ in their ratings of surgency or effortful control. Maternal prenatal depressive symptoms, prenatal stress, and postpartum stress mediated differences in infant negative affectivity between pandemic and pre-pandemic groups. Within the pandemic group, decreased postpartum social contact was associated with higher ratings of infant negative affectivity. These findings suggest that the pandemic has affected maternal perceptions of infant temperament, perinatal mental health, and social contact.

Little is known about the impact of sociocultural stressors such as acculturative stress on self-rated health among Hispanics. We aimed to examine (a) associations between acculturative stress and self-rated health, and (b) the moderating effects of the community of settlement (i.e., Maricopa County, AZ and Miami-Dade County, FL) and social support on the association between acculturative stress and self-rated health. A hierarchical multiple regression model and moderation analyses were conducted using a cross-sectional sample of 200 Hispanic emerging adults from Arizona and Florida. Findings indicate that higher levels of pressure to acculturate are associated with lower levels of self-rated health. Community of settlement functioned as a moderator whereby pressure to acculturate was only associated with lower levels of self-rated health in Maricopa County. Lastly, a three-way interaction indicated that emotional social support mitigated the association between pressure to acculturate and self-rated health in Maricopa County. This study highlights the importance of accounting for community of settlement when examining associations between acculturative stress and health-related outcomes. A finding that may have implications for interventions is that social support may help to counteract the effects of acculturative stress.

The etiology of anorexia nervosa (AN) remains elusive. Recent genome-wide association studies identified the first genes liked to AN which reached genome-wide significance, although our understanding of how these genes confer risk remains preliminary. Here, we leverage the Allen Human Brain Atlas to characterize the spatially distributed gene expression patterns of genes linked to AN in the non-disordered human brain, developing whole-brain maps of AN gene expression. We found that genes associated with AN are most expressed in the brain, relative to all other body tissue types, and demonstrate gene-specific expression patterns which extend to cerebellar, temporal and basal ganglia structures in particular. fMRI meta-analyses reveal that AN gene expression maps correspond with functional brain activity involved in processing and anticipating appetitive and aversive cues. Findings offer novel insights around putative mechanisms through which genes associated with AN may confer risk.

Carrying the apolipoprotein E (ApoE) Ɛ4 allele is associated with an increased risk of cerebral amyloidosis and late-onset Alzheimer’s disease, but the degree to which apoE glycosylation affects its development is not clear. In a previous pilot study, we identified distinct total and secondary isoform-specific cerebral spinal fluid (CSF) apoE glycosylation profiles, with the E4 isoform having the lowest glycosylation percentage (E2 > E3 > E4). In this work, we extend the analysis to a larger cohort of individuals (n = 106), utilizing matched plasma and CSF samples with clinical measures of AD biomarkers. The results confirm the isoform-specific glycosylation of apoE in CSF, resulting from secondary CSF apoE glycosylation patterns. CSF apoE glycosylation percentages positively correlated with CSF Aβ42 levels (r = 0.53, p < 0.0001). These correlations were not observed for plasma apoE glycosylation. CSF total and secondary apoE glycosylation percentages also correlated with the concentration of CSF small high-density lipoprotein particles (s-HDL-P), which we have previously shown to be correlated with CSF Aβ42 levels and measures of cognitive function. Desialylation of apoE purified from CSF showed reduced Aβ42 degradation in microglia with E4 > E3 and increased binding affinity to heparin. These results indicate that apoE glycosylation has a new and important role in influencing brain Aβ metabolism and can be a potential target of treatment.

Monkeypox virus (MPXV) outbreaks have been reported in various countries worldwide; however, there is no specific vaccine against MPXV. In this study, therefore, we employed computational approaches to design a multi-epitope vaccine against MPXV. Initially, cytotoxic T lymphocyte (CTL), helper T lymphocyte (HTL), linear B lymphocytes (LBL) epitopes were predicted from the cell surface-binding protein and envelope protein A28 homolog, both of which play essential roles in MPXV pathogenesis. All of the predicted epitopes were evaluated using key parameters. A total of 7 CTL, 4 HTL, and 5 LBL epitopes were chosen and combined with appropriate linkers and adjuvant to construct a multi-epitope vaccine. The CTL and HTL epitopes of the vaccine construct cover 95.57% of the worldwide population. The designed vaccine construct was found to be highly antigenic, non-allergenic, soluble, and to have acceptable physicochemical properties. The 3D structure of the vaccine and its potential interaction with Toll-Like receptor-4 (TLR4) were predicted. Molecular dynamics (MD) simulation confirmed the vaccine's high stability in complex with TLR4. Finally, codon adaptation and in silico cloning confirmed the high expression rate of the vaccine constructs in strain K12 of Escherichia coli (E. coli). These findings are very encouraging; however, in vitro and animal studies are needed to ensure the potency and safety of this vaccine candidate.

Designing new polymer semiconductors for intrinsically stretchable polymer solar cells (IS-PSCs) with high power conversion efficiency (PCE) and durability is critical for wearable electronics applications. Nearly all high-performance PSCs are constructed using fully conjugated polymer donors (PD) and small-molecule acceptors (SMA). However, a successful molecular design of PDs for high-performance and mechanically durable IS-PSCs without sacrificing conjugation has not been realized. In this study, we design a novel thymine side chain terminated 6,7-difluoro-quinoxaline (Q-Thy) monomer and synthesize a series of fully conjugated PDs (PM7-Thy5, PM7-Thy10, PM7-Thy20) featuring Q-Thy. The Q-Thy units capable of inducing dimerizable hydrogen bonding enable strong intermolecular PD assembly and highly efficient and mechanically robust PSCs. The PM7-Thy10:SMA blend demonstrates a combination of high PCE (>17%) in rigid devices and excellent stretchability (crack-onset value >13.5%). More importantly, PM7-Thy10-based IS-PSCs show an unprecedented combination of PCE (13.7%) and ultrahigh mechanical durability (maintaining 80% of initial PCE after 43% strain), illustrating the promising potential for commercialization in wearable applications.

Background: Children with communication disorders experience difficulty in one or more areas of articulation and speech, language, fluency, voice and social communication, and they work with speech-language pathologists (SLPs) to improve their communication. With the rise of adoption and use for mobile applications among special education and healthcare service providers, SLPs also have implemented, and for some, contributed to the design of, mobile applications (apps) during clinical practice. However, how these mobile apps are designed and implemented for clinicians to facilitate their clients' communication and learning experiences during therapy remains underinvestigated. Aims: This qualitative research study investigates how mobile apps were designed for clinicians to target assessment and intervention goals. Additionally, it focused on how clinicians adopted these apps while integrating therapy techniques to facilitate their clients' learning. Methods and procedures: Informed by the Research, Practice, and Design for iPad Apps (iRPD) framework and the Consolidated Framework for Implementation Research (CFIR), semi-structured interviews were conducted with 37 licensed pediatric SLPs, including 23 SLPs who have used apps and 14 SLPs who have contributed to the design of their own mobile apps. Two rounds of qualitative coding via template analysis and thematic analysis were then used to analyse client and clinician characteristics, clinical practice, therapy tools, app characteristics, influential factors and app design and use recommendations. Outcomes and results: Results showed SLPs utilise different genres of assistive, educational and recreational game apps to support children's communication development when working with children who have diverse disorders and therapy needs across different age groups. SLPs who have designed their own apps emphasised the importance of following evidence-based practice, well-researched teaching methods and learning theories. Additionally, multiple financial, sociocultural, political and ethical factors contributed to the design, adoption and implementation of mobile apps during services. Conclusions and implications: By understanding the clinician's app use practices situated in various therapy activities and techniques, we specified a list of design recommendations for app designers who are interested in creating mobile apps for supporting children's speech and language development. By bringing insights from both clinical practitioners as well as those with additional technical design backgrounds, this study contributes to the understanding of clinical practice needs and strategies and will lead to the most optimal app design and adoption practice to support the well-being of children with communication disorders. What this paper adds: What is already known on the subject Speech language pathologist (SLPs) implement mobile apps for clients with diverse therapy needs, and their app adoption and use are influenced by multifaceted factors. Although prior studies have reported SLPs' mobile app use, additional information is still needed. For example, the research literature does not include how specific technology is used during therapy practice, or specific details about challenges and needs in implementing and utilising the technology. Additional research also needs to include influential factors (e.g., financial, sociocultural, political, ethical) that are considered when selecting, implementing, assessing and designing an app. The lack of research in these areas directly affects the understanding of clinical mobile technology practices and further hinders clinicians' abilities to advocate for better clinical and design decisions towards identifying and implementing effective mobile apps that facilitate children's communication. What this study adds to existing knowledge This qualitative study is the first known empirical research that interviewed pediatric speech-language pathologists who have used and designed mobile apps for children who receive speech-language therapy across different clinical settings. By investigating experiences from clinician stakeholders to illustrate a holistic overview of app design and development to deployment, this study reported finding on (1) how clinicians use mobile apps to help children to participate in different therapy activities, and (2) a list of recommended design and development guidelines that informs the design and use of mobile apps that best support and motivate children to engage in therapy. What are the potential or actual clinical implications of this work? This study disseminates clinician-reported practices of app design and use with pediatric clients across different speech-language disorders, and identifies gaps and needs for clinicians and researchers who are interested in understanding the role of mobile technology in relationship to human communication and interaction. Additionally, the paper demonstrates that SLPs have instrumental roles rather than passive users in influencing the design and implementation of different genres of mobile apps through evidence-based clinical practice, and call for partnerships across clinicians, special educators and technologists to support children's communication development.

Background While folate intake has not been associated with an increased risk of ovarian cancer overall, studies of other cancer types have suggested that high folate intake may promote carcinogenesis in pre-cancerous lesions. Women with endometriosis (a potential pre-cancerous lesion) have an increased risk of developing ovarian cancer; however, whether high folate intake increases risk in this group is unknown. Methods We conducted a pooled analysis of six case-control studies from the Ovarian Cancer Association Consortium to investigate the association between folate intake and risk of ovarian cancer among women with and without self-reported endometriosis. We included 570 cases/558 controls with and 5,171/7,559 without endometriosis. We used logistic regression to estimate odds ratios (ORs) and 95% confidence intervals for the association between folate intake (dietary, supplemental, total) and ovarian cancer risk. Finally, we used Mendelian randomization (MR) to evaluate our results using genetic markers as a proxy for folate status. Results Higher dietary folate intake was associated with an increased risk of ovarian cancer for women with endometriosis (OR 1.37[1.01-1.86]) but not for women without endometriosis. There was no association between supplemental folate intake and ovarian cancer risk for women with or without endometriosis. A similar pattern was seen using MR. Conclusions High dietary folate intake may be associated with an increased risk of ovarian cancer among women with endometriosis. Impact Women with endometriosis with high folate diets may be at increased risk of ovarian cancer. Further research is needed on the potential cancer-promoting effects of folate in this group.

Objective Work-related discomfort is a pervasive issue among ultrasonography users. The Sonography Work Systems (SWS) framework was constructed as a means of examining relationships within and across components of the sonography work systems, work processes, and work/worker outcomes. A database of ultrasonography users was established as a foundation for a longitudinal survey study to examine worker health and well-being and explore the most salient work systems and process factors associated with work-related discomfort. Materials and Methods An estimated 100 000 unique ultrasonography users were invited to complete the online questionnaire through an e-mail campaign. Snowball sampling occurred through social media posts and encouragement for respondents to share the survey link with colleagues. The questionnaire included items that examined participant demographics, selected constructs from the SWS, and the prevalence of work-related musculoskeletal discomfort, visual discomfort, and headaches. Individual and multi-factorial regression models were conducted to examine SWS factors associated with the likelihood of experiencing the three types of work-related discomfort. Results A total of 3659 valid responses were included in the analysis, with 86% of respondents reporting that they regularly experienced musculoskeletal discomfort that they directly attributed to their work. About half (54.2%) of the respondents have engaged in sonography-related ergonomics training, and respondents indicated using adjustable equipment approximately 74% of the time. Workplace culture was rated as primarily positive, but respondents indicated that employers implement only two of seven commonly recommended ergonomic policies and procedures. Working in an organization with more policies, using adjustable equipment more frequently, taking more work breaks, engaging in a positive work culture, and minimizing interruptions to workflow were key factors associated with reduced likelihood of work-related discomfort. Conclusion This study provides a new framework for examining and addressing factors that contribute to ultrasonography users’ experience of work-related discomfort. Despite increased participation in ergonomics training and the use of adjustable equipment, the prevalence of work-related discomfort remains high among ultrasonography users. The findings highlight the need for attention to be directed at organizational factors and work processes to identify and implement evidence-based solutions to improve the health and well-being of medical ultrasound users.

Neurons exhibit a striking degree of functional diversity, each one tuned to the needs of the circuitry in which it is embedded. A fundamental functional dichotomy occurs in activity patterns, with some neurons firing at a relatively constant “tonic” rate, while others fire in bursts - a “phasic” pattern. Synapses formed by tonic vs phasic neurons are also functionally differentiated, yet the bases of their distinctive properties remain enigmatic. A major challenge towards illuminating the synaptic differences between tonic and phasic neurons is the difficulty in isolating their physiological properties. At the Drosophila neuromuscular junction (NMJ), most muscle fibers are co-innervated by two motor neurons, the tonic “MN-Ib” and phasic “MN-Is”. Here, we employed selective expression of a newly developed botulinum neurotoxin (BoNT-C) transgene to silence tonic or phasic motor neurons in Drosophila larvae of either sex. This approach highlighted major differences in their neurotransmitter release properties, including probability, short-term plasticity, and vesicle pools. Furthermore, Ca ²⁺ imaging demonstrated ∼two-fold greater Ca ²⁺ influx at phasic neuron release sites relative to tonic, along with an enhanced synaptic vesicle coupling. Finally, confocal and super-resolution imaging revealed that phasic neuron release sites are organized in a more compact arrangement, with enhanced stoichiometry of voltage-gated Ca ²⁺ channels relative to other active zone scaffolds. These data suggest that distinctions in active zone nano-architecture and Ca ²⁺ influx collaborate to differentially tune glutamate release at tonic vs phasic synaptic subtypes. SIGNIFICANCE STATEMENT: “Tonic” and “phasic” neuronal subtypes, based on differential firing properties, are common across many nervous systems. Using a recently developed approach to selectively silence transmission from one of these two neurons, we reveal specialized synaptic functional and structural properties that distinguish these specialized neurons. This study provides important insights into how the input-specific synaptic diversity is achieved, which could have significant implications for the development of therapeutic interventions for neurological disorders that involve changes in synaptic function.

With continued global change, recovery of species listed under the Endangered Species Act is increasingly challenging. One rare success was the recovery and delisting of the Channel Island fox (Urocyon littoralis) after 90%-99% population declines in the 1990s. While their demographic recovery was marked, less is known about their genetic recovery. To address genetic changes, we conducted the first multi-individual and population-level direct genetic comparison of samples collected before and after the recent bottlenecks. Using whole-exome sequencing, we found that already genetically depauperate populations were further degraded by the 1990s declines and remain low, particularly on San Miguel and Santa Rosa Islands, which underwent the most severe bottlenecks. The two other islands that experienced recent bottlenecks (Santa Cruz, and Santa Catalina islands) showed mixed results based on multiple metrics of genetic diversity. Previous island fox genomics studies showed low genetic diversity before the declines and no change after the demographic recovery, thus this is the first study to show a decrease in genetic diversity over time in U. littoralis. Additionally, we found that divergence between populations consistently increased over time, complicating prospects for using inter-island translocation as a conservation tool. The Santa Catalina subspecies is now federally listed as threatened, yet other de-listed subspecies are still recovering genetic variation which may limit their ability to adapt to changing environmental conditions. This study further demonstrates that species conservation is more complex than population size and that some island fox populations are not yet 'out of the woods'.