Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple Source Detection Based on Spatial Clustering and Its Applications on Wearable OPM-MEG

Objective: Magnetoencephalography (MEG) is a non-invasive technique that measures the magnetic fields of brain activity. In particular, a new type of optically pumped magnetometer (OPM)-based wearable MEG system has been developed in recent years. Source localization in MEG can provide signals and locations of brain activity. However, conventional source localization methods face the difficulty of accurately estimating multiple sources. The present study presented a new parametric method to estimate the number of sources and localize multiple sources. In addition, we applied the proposed method to a constructed wearable OPM-MEG system. Methods: We used spatial clustering of the dipole spatial distribution to detect sources. The spatial distribution of dipoles was obtained by segmenting the MEG data temporally into slices and then estimating the parameters of the dipoles on each data slice using the particle swarm optimization algorithm. Spatial clustering was performed using the spatial-temporal density-based spatial clustering of applications with a noise algorithm. The performance of our approach for detecting multiple sources was compared with that of four typical benchmark algorithms using the OPM-MEG sensor configuration. Results: The simulation results showed that the proposed method had the best performance for detecting multiple sources. Moreover, the effectiveness of the method was verified by a multimodel sensory stimuli experiment on a real constructed 31-channel OPM-MEG. Conclusion: Our study provides an effective method for the detection of multiple sources. Significance: With the improvement of the source localization methods, MEG may have a wider range of applications in neuroscience and clinical research.
Evaluation of multiple perceptual qualities of transcutaneous electrical nerve stimulation for evoked tactile sensation in forearm amputees

Objective. Evoked tactile sensation (ETS) elicited by transcutaneous electrical nerve stimulation (TENS) is promising to convey digit-specific sensory information to amputees naturally and non-invasively. Fitting ETS-based sensory feedback to amputees entails customizing coding of multiple sensory information for each stimulation site. This study was to elucidate the consistency of percepts and qualities by TENS at multiple stimulation sites in amputees retaining ETS. Approach. Five transradial amputees with ETS and fourteen able-bodied subjects participated in this study. Surface electrodes with small size (10 mm in diameter) were adopted to fit the restricted projected finger map on the forearm stump of amputees. Effects of stimulus frequency on sensory types were assessed, and the map of perceptual threshold for each sensation was characterized. Sensitivity for vibration and buzz sensations was measured using distinguishable difference in stimulus pulse width. Rapid assessments for modulation ranges of pulse width at fixed amplitude and frequency were developed for coding sensory information. Buzz sensation was demonstrated for location discrimination relating to prosthetic fingers. Main results. Vibration and buzz sensations were consistently evoked at 20 Hz and 50 Hz as dominant sensation types in all amputees and able-bodied subjects. Perceptual thresholds of different sensations followed a similar strength-duration curve relating stimulus amplitude to pulse width. The averaged distinguishable difference in pulse width was 12.84 ± 7.23 μs for vibration and 15.21 ± 6.47 μs for buzz in able-bodied subjects, and 14.91 ± 10.54 μs for vibration and 11.30 ± 3.42 μs for buzz in amputees. Buzz coding strategy enabled five amputees to discriminate contact of individual fingers with an overall accuracy of 77.85%. Significance. The consistency in perceptual qualities of dominant sensations can be exploited for coding multi-modality sensory feedback. A fast protocol of sensory coding is possible for fitting ETS-based, non-invasive sensory feedback to amputees.
Adopting the day surgery default in the provision of lumbar discectomy and decompressive surgery

Introduction Provision of day case spinal procedures in the UK is below expected standards and there is a need for the creation of guidance and patient pathways to address this. Here we present a day case lumbar discectomy protocol and evaluate its impact at our institution. Methods A new pathway (incorporating defined selection criteria, patient education, anaesthetic protocol and discharge prescriptions) was implemented for all suitable patients within a single surgeon’s cohort. Day case rates for lumbar discectomy were compared before and after implementation. Patient feedback was collated using a patient-reported experience measure. Results Eighteen of 23 patients selected as suitable via the pathway successfully underwent day surgery, leading to an increase in lumbar discectomy day case rates from 25% to 69% at our institution. Nearly all patients were satisfied with their experience, although a significant proportion felt provision of postoperative analgesia could be improved. Conclusion We present a day surgery pathway for lumbar discectomy that is safe and effective. This could be more widely implemented to increase day case rates.
The Capsule of Acinetobacter baumannii Protects against the Innate Immune Response

Acinetobacter baumannii is an opportunistic pathogen that has recently emerged as a global threat associated with high morbidity, mortality, and antibiotic resistance. We determined the role of type I interferon (IFN) signaling in A. baumannii infection. We report that A. baumannii can induce a type I IFN response that is dependent upon TLR4-TRIF-IRF3 and phagocytosis of the bacterium. Phase variants of A. baumannii that have a reduced capsule, lead to enhanced TLR4-dependent type I IFN induction. This was also observed in a capsule-deficient strain. However, we did not observe a role for this pathway in vivo. The enhanced signaling could be accounted for by increased phagocytosis in capsule-deficient strains that also lead to enhanced host cell-mediated killing. The increased cytokine response in the absence of the capsule was not exclusive to type I IFN signaling. Several cytokines, including the proinflammatory IL-6, were increased in cells stimulated with the capsule-deficient strain, also observed in vivo. After 4 h in our acute pneumonia model, the burden of a capsule-null strain was significantly reduced, yet we observed increases in innate immune cells and inflammatory markers compared to wild-type A. baumannii. This study underscores the role of phase variation in the modulation of host immune responses and indicates that the capsule of A. baumannii plays an important role in protection against host cell killing and evasion from activation of the innate immune response.
The sexual and reproductive health of female psychiatric inpatients: An area needing more attention?

Objective Trauma-informed care and physical (including sexual and reproductive) health screening is standard in Western Australian mental health settings. We sought to determine the rates of reported sexual trauma and domestic violence (DV), the rates of sexual and reproductive health screening, and associations between sexual trauma and reproductive health screening in a sample of women of child-bearing age (WOCBA), that is, 18–49 years, admitted to an inpatient psychiatric unit (IPU). Methods A retrospective study on 12 months of admissions to an outer metropolitan IPU (2017–2018), using descriptive analysis. Results Review of 160 admissions demonstrated high rates of reported sexual trauma (49.4%) and DV (38.8%). Rates of screening for pregnancy (56.9%) and sexually-transmitted infection risk (18.8%) were low. 5 out of 25 (20.0%) patients prescribed a mood stabiliser had documented discussions regarding reproductive risks of their medication. An overall lack of effect (p > .6) was found between sexual trauma history and reproductive health screening. Conclusions WOCBA admitted to an IPU are vulnerable to having experienced sexual trauma and DV, with low rates of documented reproductive health screening despite existing clinical guidelines.
Prevalence of E-Cigarette Use and Its Associated Factors Among Youths Aged 12 to 16 Years in 68 Countries and Territories: Global Youth Tobacco Survey, 2012‒2019.

Objectives. To describe the recent global prevalence of e-cigarette use and to investigate its associated factors among youths aged 12 to 16 years in 68 countries and territories (hereafter "countries"). Methods. We analyzed 485 746 youths aged 12 to 16 years from the population-based cross-sectional Global Youth Tobacco Survey conducted in 67 countries between 2012 and 2019 and the 2019 National Youth Tobacco Survey in the United States. We defined past-30-day e-cigarette use as using e-cigarettes on 1 or more days during the past 30 days. Results. The global prevalence of past-30-day e-cigarette use among youths was 9.2%, ranging from 1.9% in Kazakhstan to 33.2% in Guam. Maternal smoking (adjusted odds ratio [AOR] = 1.40; 95% confidence interval [CI] = 1.29, 1.52), paternal smoking (AOR = 1.13; 95% CI = 1.07, 1.19), secondhand smoke exposure (AOR = 1.74; 95% CI = 1.64, 1.84), youth cigarette smoking (AOR = 7.18; 95% CI = 6.84, 7.54), and youth other tobacco use (AOR = 3.88; 95% CI = 3.62, 4.15) were positively associated with e-cigarette use. Conclusions. E-cigarette use was moderately frequent among youths aged 12 to 16 years globally. Several important factors were associated with youth e-cigarette use. Public Health Implications. Our findings highlight the need for countries worldwide to develop policies to address e-cigarette use among youths. (Am J Public Health. 2022;112(4):650-661. https://doi.org/10.2105/AJPH.2021. 306686).
Safety and Efficacy of a Third Dose of BNT162b2 Covid-19 Vaccine

Abstract Background Active immunization with the BNT162b2 vaccine (Pfizer–BioNTech) has been a critical mitigation tool against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection during the coronavirus disease 2019 (Covid-19) pandemic. In light of reports of waning protection occurring 6 months after the primary two-dose vaccine series, data are needed on the safety and efficacy of offering a third (booster) dose in persons 16 years of age or older. Methods In this ongoing, placebo-controlled, randomized, phase 3 trial, we assigned participants who had received two 30-μg doses of the BNT162b2 vaccine at least 6 months earlier to be injected with a third dose of the BNT162b2 vaccine or with placebo. We assessed vaccine safety and efficacy against Covid-19 starting 7 days after the third dose. Results A total of 5081 participants received a third BNT162b2 dose and 5044 received placebo. The median interval between dose 2 and dose 3 was 10.8 months in the vaccine group and 10.7 months in the placebo group; the median follow-up was 2.5 months. Local and systemic reactogenicity events from the third dose were generally of low grade. No new safety signals were identified, and no cases of myocarditis or pericarditis were reported. Among the participants without evidence of previous SARS-CoV-2 infection who could be evaluated, Covid-19 with onset at least 7 days after dose 3 was observed in 6 participants in the vaccine group and in 123 participants in the placebo group, which corresponded to a relative vaccine efficacy of 95.3% (95% confidence interval, 89.5 to 98.3). Conclusions A third dose of the BNT162b2 vaccine administered a median of 10.8 months after the second dose provided 95.3% efficacy against Covid-19 as compared with two doses of the BNT162b2 vaccine during a median follow-up of 2.5 months. (Funded by BioNTech and Pfizer; C4591031 ClinicalTrials.gov number, NCT04955626.)
Associations between Impulsivity and Exercise Addiction, Disordered Eating, and Alcohol Use Behaviors: A Latent Profile Analysis

Abstract BackgroundDespite the known negative consequences of exercise addiction and preliminary evidence suggesting that it may co-occur with other health risk behaviors, no studies to date have examined exercise addiction among college students in conjunction with disordered eating behaviors and alcohol use. The aim of this study was to describe which college students are most at-risk for co-occurring health risk behaviors to enhance the efficiency of health risk prevention efforts. Method: Guided by multidimensional theories of impulsivity and substance use models of comorbidity, this study used latent profile analysis to examine whether separate, conceptually meaningful profiles of risk for exercise addiction, disordered eating behaviors, and alcohol use would emerge among 503 college students from a large public university. Results: The best-fitting model supported three profiles. MANOVA results revealed significant profile differences based on exercise addiction, binge eating, purging, laxative/pill/diuretic use, exercising longer than 60 minutes, negative urgency, and problematic alcohol use. Profile 3 students (n = 29), labeled the Affect Driven Health Risk-Takers, demonstrated the highest levels of impulsivity (i.e., negative urgency, lack of premeditation, lack of perseverance, and sensation seeking) and the most risk behaviors compared to the other two profiles. Profile membership was associated with distinct levels of negative urgency, exercise addiction, disordered eating behaviors, and problematic alcohol use. A small proportion of undergraduates demonstrated co-occurring exercise addiction, disordered eating behaviors, and problematic alcohol use. Profile membership also predicted the health outcomes of clinically significant exercise addiction and hazardous alcohol use. Conclusions: Findings illuminated how patterns of risk behavior engagement were associated with clinically significant exercise addiction and hazardous alcohol use and will inform prevention efforts and clinical interventions with at-risk college students.
Evaluating functional dispersal and its eco-epidemiological implications in a nest ectoparasite

This article has been submitted for recommendation by Peer Community in Ecology ABSTRACT Functional dispersal (between-site movement, with or without subsequent reproduction) is a key trait acting on the ecological and evolutionary trajectories of a species, with potential cascading effects on other members of the local community. It is often difficult to quantify, and particularly so for small organisms such as parasites. Understanding this life history trait can help us identify the drivers of population dynamics and, in the case of vectors, the circulation of associated infectious agents. In the present study, functional dispersal of the soft tick Ornithodoros maritimus was studied at small scale, within a colony of yellow-legged-gulls ( Larus michahellis ). Previous work showed a random distribution of infectious agents in this tick at the within-colony scale, suggesting frequent tick movement among nests. This observation contrasted with the presumed strong endophilic nature described for this tick group. By combining an experimental field study, where both nest success and tick origin were manipulated, with novel Capture-Mark-Recapture modeling, dispersal rates between nests were estimated taking into account both tick capture probability and survival, and considering an effect of tick sex. As expected, tick survival probability was higher in successful nests, where hosts were readily available for the blood meal, than in unsuccessful nests, but capture probability was lower. Dispersal was low overall, regardless of nest state or tick sex, and there was no evidence for tick homing behavior; ticks from foreign nests did not disperse more than ticks in their nest of origin. These results confirm the strong endophilic nature of this tick species, highlighting the importance of life cycle plasticity for adjusting to changes in host availability. However, results also raise questions with respect to the previously described within-colony distribution of infectious agents in ticks, suggesting that tick dispersal either occurs over longer temporal scales and/or that transient host movements outside the breeding period result in vector exposure to a diverse range of infectious agents.
Green extractivism and financialisation in Mozambique: the case of Gilé National Reserve

ABSTRACT With the global environmental crisis intensifying, capitalism has extended the reach of financialisation through the creation of new financial assets that rely on further commodification of nature. Using the case of a national reserve in Mozambique, the paper examines the emergence of green extractivism as a consequence of deepening financialisation, an extractivism which is building on pre-existing relations of unequal and asymmetric exchange between industrialised and extractive economies. The article focuses on the linkages between financialisation and extractivism and nature-based financial mechanisms, whose operationalisation impacts on rural social reproduction. It is argued that the emergence of green extractivism, supported by green funds and loans, is intensifying the extractive character of the Mozambican economy. The case study shows, that with the support of philanthrocapitalism, the process of financialisation led by mature economies supports the appropriation of nature through green extractivist programmes in the periphery, with adverse implications for development and for rural subsistence.
The transformation of work and employment relations: COVID-19 and beyond

first online conference, then turn to the Presidential Address delivered by Professor Andrew Stewart on the future of labour research, policy and regulation. We then introduce three papers that examine the impact of COVID-19 across key sectors and occupations – police work, domestic work and academia. This is followed by two papers examining broader gendered and generational transitions in the labour market. We conclude our Editorial Introduction with reflections on the future of work as we learn to live with COVID-19, including directions for future research in employment relations arising from this collection of papers.
Design and Analysis of FPGA-based PUFs with Enhanced Performance for Hardware-oriented Security

This article presents a thorough analysis of two distinct Physically Unclonable Functions (PUF), namely RO-PUF (Ring oscillator-based PUF) and RS-LPUF (RS Latch-based PUF), prototyped on FPGA. It is shown that the implemented PUFs possess significantly enhanced performance when compared to the state of the art. It is also identified that the enhancements are achieved through the incorporation of Programmable Delay Lines of FPGA Lookup Tables, the Temporal Majority Voting (TMV) scheme, and placed macro techniques for routing and placements of PUF units. The prototypes developed on Xilinx Artix-7 FPGAs are used for validation over the rated temperature range of 0-85°C with ±5% variation in the supply voltage. The proposed schemes when evaluated experimentally also achieve good uniformity, bit-aliasing, uniqueness, and reliability. Finally, it is shown that the proposed designs outperform the existing conventional PUFs in the area and speed tradeoff.
Integrating Behavioral, Economic, and Technical Insights to Understand and Address Algorithmic Bias: A Human-Centric Perspective

Many important decisions are increasingly being made with the help of information systems that use artificial intelligence and machine learning models. These computational models are designed to discover useful patterns from large amounts of data, which augment human capabilities to make decisions in various application domains. However, there are growing concerns regarding the ethics challenges faced by these automated decision-making (ADM) models, most notably on the issue of algorithmic bias, in which the models systematically produce less favorable (i.e., unfair) decisions for certain groups of people. In this commentary, we argue that algorithmic bias is not just a technical (e.g., computational or statistical) problem, and its successful resolution requires deep insights into individual and organizational behavior, economic incentives, as well as complex dynamics of the sociotechnical systems in which the ADM models are embedded. We discuss a human-centric, fairness-aware ADM framework that highlights the holistic involvement of human decision makers in each step of ADM. We review the emerging literature on fairness-aware machine learning and then discuss various strategic decisions that humans need to make, such as formulating proper fairness objectives, recognizing fairness-induced trade-offs and implications, utilizing machine learning model outputs, and managing/governing the decisions of ADM models. We further illustrate how these strategic decisions are jointly informed by behavioral, economic, and design sciences. Our discussions reveal a number of future research opportunities uniquely suitable for Management Information Systems (MIS) researchers to pursue.
MemHC: An Optimized GPU Memory Management Framework for Accelerating Many-body Correlation

The many-body correlation function is a fundamental computation kernel in modern physics computing applications, e.g., Hadron Contractions in Lattice quantum chromodynamics (QCD). This kernel is both computation and memory intensive, involving a series of tensor contractions, and thus usually runs on accelerators like GPUs. Existing optimizations on many-body correlation mainly focus on individual tensor contractions (e.g., cuBLAS libraries and others). In contrast, this work discovers a new optimization dimension for many-body correlation by exploring the optimization opportunities among tensor contractions. More specifically, it targets general GPU architectures (both NVIDIA and AMD) and optimizes many-body correlation’s memory management by exploiting a set of memory allocation and communication redundancy elimination opportunities: first, GPU memory allocation redundancy: the intermediate output frequently occurs as input in the subsequent calculations; second, CPU-GPU communication redundancy: although all tensors are allocated on both CPU and GPU, many of them are used (and reused) on the GPU side only, and thus, many CPU/GPU communications (like that in existing Unified Memory designs) are unnecessary; third, GPU oversubscription: limited GPU memory size causes oversubscription issues, and existing memory management usually results in near-reuse data eviction, thus incurring extra CPU/GPU memory communications. Targeting these memory optimization opportunities, this article proposes MemHC, an optimized systematic GPU memory management framework that aims to accelerate the calculation of many-body correlation functions utilizing a series of new memory reduction designs. These designs involve optimizations for GPU memory allocation, CPU/GPU memory movement, and GPU memory oversubscription, respectively. More specifically, first, MemHC employs duplication-aware management and lazy release of GPU memories to corresponding host managing for better data reusability. Second, it implements data reorganization and on-demand synchronization to eliminate redundant (or unnecessary) data transfer. Third, MemHC exploits an optimized Least Recently Used (LRU) eviction policy called Pre-Protected LRU to reduce evictions and leverage memory hits. Additionally, MemHC is portable for various platforms including NVIDIA GPUs and AMD GPUs. The evaluation demonstrates that MemHC outperforms unified memory management by \( 2.18\times \) to \( 10.73\times \) . The proposed Pre-Protected LRU policy outperforms the original LRU policy by up to \( 1.36\times \) improvement.1