Miracle-dz/UniFAR-FTUs huggingface dataset:
Quantitative subsurface spatial frequency‐domain fluorescence imaging for enhanced glioma resection

The rate of complete resection of glioma has improved with the introduction of 5‐aminolevulinic acid‐induced protoporphyrin IX (PpIX) fluorescence image guidance. Surgical outcomes are further enhanced when the fluorescence signal is decoupled from the intrinsic tissue optical absorption and scattering obtained from diffuse reflectance measurements, yielding the absolute PpIX concentration, [PpIX]. Spatial frequency domain imaging was used previously to measure [PpIX] in near‐surface tumors under blue fluorescence excitation. Here, we extend this to subsurface [PpIX] fluorescence under red‐light excitation. The decay rate of the modulation amplitude of the fluorescence signal was used to calculate the PpIX depth, which was then applied in a forward diffusion model to estimate [PpIX] at depth. For brain‐like optical properties in phantoms with PpIX fluorescent inclusions, the depth can be recovered up to depths of 9.5 mm ± 0.4 mm, with [PpIX] ranging from 5 to 15 μg/mL within an average deviation of 15% from the true [PpIX] value.
Social support networks and psychological wellbeing in community-dwelling older Ghanaian cohorts

ABSTRACT Background: Social support networks for older persons have been related to health outcomes including differences in psychological wellbeing (PWB). However, the specifics of this relationship remain unclear especially in sub-Saharan Africa. This study investigates the (1) relationship between aspects of social support and PWB among older persons in Ghana and (2) the extent to which this relationship is moderated by their education levels and locational characteristics. Method: The study included 1,200 community-residing individuals aged 50 years and older who participated in an Aging, Health, Psychological Wellbeing and Health-seeking Behavior Study (AHPWHB) conducted between July 2016 and February 2017. Logistic regression models evaluated the associations of social support and their interactions with education and locational variables in PWB. Results: Several aspects of meaningful social support: family/friends contacts ( β = 0.958, p < 0.05), couple focused ( β = 0.887, p < 0.001), emotional bonds ( β = 0.658, p < 0.005), attending social events ( β = 0.519, p < 0.001) and remittances from children ( β = 0.394, p < 0.005) significantly related to improved PWB in later life. These associations remained robust and largely strengthened after accounting for respondents’ background and health-related factors. Education and locational characteristics substantially influenced the associations between social support and PWB. Conclusion: These findings suggest that especially in terms of PWB, aspects of meaningful social support networks are critical elements in later life. Strengthening opportunities for closer interpersonal relations with older persons may enhance their mental health, quality of life and independence.
Huntingtin-Associated Protein 1A Regulates Store-Operated Calcium Entry in Medium Spiny Neurons From Transgenic YAC128 Mice, a Model of Huntington’s Disease

Huntington’s disease (HD) is a hereditary neurodegenerative disease that is caused by polyglutamine expansion within the huntingtin (HTT) gene. One of the cellular activities that is dysregulated in HD is store-operated calcium entry (SOCE), a process by which Ca2+ release from the endoplasmic reticulum (ER) induces Ca2+ influx from the extracellular space. HTT-associated protein-1 (HAP1) is a binding partner of HTT. The aim of the present study was to examine the role of HAP1A protein in regulating SOCE in YAC128 mice, a transgenic model of HD. After Ca2+ depletion from the ER by the activation of inositol-(1,4,5)triphosphate receptor type 1 (IP3R1), we detected an increase in the activity of SOC channels when HAP1 protein isoform HAP1A was overexpressed in medium spiny neurons (MSNs) from YAC128 mice. A decrease in the activity of SOC channels in YAC128 MSNs was observed when HAP1 protein was silenced. In YAC128 MSNs that overexpressed HAP1A, an increase in activity of IP3R1 was detected while the ionomycin-sensitive ER Ca2+ pool decreased. 6-Bromo-N-(2-phenylethyl)-2,3,4,9-tetrahydro-1H-carbazol-1-amine hydrochloride (C20H22BrClN2), identified in our previous studies as a SOCE inhibitor, restored the elevation of SOCE in YAC128 MSN cultures that overexpressed HAP1A. The IP3 sponge also restored the elevation of SOCE and increased the release of Ca2+ from the ER in YAC128 MSN cultures that overexpressed HAP1A. The overexpression of HAP1A in the human neuroblastoma cell line SK-N-SH (i.e., a cellular model of HD (SK-N-SH HTT138Q)) led to the appearance of a pool of constitutively active SOC channels and an increase in the expression of STIM2 protein. Our results showed that HAP1A causes the activation of SOC channels in HD models by affecting IP3R1 activity.
Effect of Ischemic Preconditioning on the Recovery of Cardiac Autonomic Control From Repeated Sprint Exercise

Repeated sprint exercise (RSE) acutely impairs post-exercise heart rate (HR) recovery (HRR) and time-domain heart rate variability (i. e., RMSSD), likely in part, due to lactic acidosis-induced reduction of cardiac vagal reactivation. In contrast, ischemic preconditioning (IPC) mediates cardiac vagal activation and augments energy metabolism efficiency during prolonged ischemia followed by reperfusion. Therefore, we investigated whether IPC could improve recovery of cardiac autonomic control from RSE partially via improved energy metabolism responses to RSE. Fifteen men team-sport practitioners (mean ± SD: 25 ± 5 years) were randomly exposed to IPC in the legs (3 × 5 min at 220 mmHg) or control (CT; 3 × 5 min at 20 mmHg) 48 h, 24 h, and 35 min before performing 3 sets of 6 shuttle running sprints (15 + 15 m with 180° change of direction and 20 s of active recovery). Sets 1 and 2 were followed by 180 s and set 3 by 360 s of inactive recovery. Short-term HRR was analyzed after all sets via linear regression of HR decay within the first 30 s of recovery (T30) and delta from peak HR to 60 s of recovery (HRR60s). Long-term HRR was analyzed throughout recovery from set 3 via first-order exponential regression of HR decay. Moreover, RMSSD was calculated using 30-s data segments throughout recovery from set 3. Energy metabolism responses were inferred via peak pulmonary oxygen uptake (V˙O2peak), peak carbon dioxide output (V˙O2peak), peak respiratory exchange ratio (RERpeak), first-order exponential regression of V˙O2 decay within 360 s of recovery and blood lactate concentration ([Lac-]). IPC did not change T30, but increased HRR60s after all sets (condition main effect: P = 0.03; partial eta square (η2p) = 0.27, i.e., large effect size). IPC did not change long-term HRR and RMSSD throughout recovery, nor did IPC change any energy metabolism parameter. In conclusion, IPC accelerated to some extent the short-term recovery, but did not change the long-term recovery of cardiac autonomic control from RSE, and such accelerator effect was not accompanied by any IPC effect on surrogates of energy metabolism responses to RSE.
Human Action Recognition on Cellphone Using Compositional Bidir-LSTM-CNN Networks

Recently, the multimoal and high dimensional sensor data are prone to problems such as artificial error and timeconsuming acquisition processes, especially in supervised human activity recognition. Therefore, this study proposes an activity recognition framework called compositional Bidir-LSTM-CNN Networks, which automatically extracts features from raw data using the optimized Convolutional Neural Network and further capture dynamic temporal features through the Bidirectional Lone Short Term Memory Network. Finally, this study paves the way for accurate recognition of human activities using the proposed framework with significantly improve 8% recognition accuracy along with additional features such as robustness and generalization.
Towards “Smarter” Vehicles Through Cloud-Backed Swarm Cognition

We consider an exciting new computing paradigm called cloud-backed swarm cognition. It refers to an envisioned future where (mobile) edge devices work together collaboratively to provide intelligent services. The cloud provides a resilient back-up cover and supervision for such services. A specific example domain is that of smart, connected autonomous vehicles (e.g., cars, buses, trucks, or drones). In this computational paradigm, the cloud serves as the (relatively) stable repository of reference knowledge that is less frequently accessed than in non-swarm computation. The “vehicle swarm on the other hand, serves as a (relatively) dynamic cache of knowledge at the “edge. ” Leveraging the collaborative swarm mode reduces real-time deadline pressures at the individual node level, while improving edge resilience through redundancy. Overall, this leads to smarter vehicles through: (a) improved edge inferential accuracy and (b) improved system-level energy efficiency. In this paper, we consider the system architecture represented by the cloud-backed swarm cognition apparatus. We provide a visionary perspective of the fundamental trade-offs that one must model and interpret in tuning the parameters of this new architecture in a scenario where a swarm of connected cars conducts real-time traffic sign recognition.
A data fusion approach for business partners selection

Strategies of market diversification push companies to provide novel products and services to customers, belonging to new geographic and demographic segments. Additionally, market development strategies targeting non-buying customers in selected segments or new buyers in new segments may be paired with increased product diversification and improved business agility. To fulfil the requirements associated with manufacturing, a wider range of products and increased customised demands imply having a wider set of competences available. Most companies find it increasingly difficult to have all required competences in their internal structures; therefore, they need to rely on strategic business partnerships and suppliers to be successful. In this paper, we discuss a data fusion decision approach for supplier and business partner evaluation, which includes past, current and forecast information about business partners. This approach may prove vital for companies to establish strong collaborative business networks.
Spanish version of the Phubbing Scale: Internet addiction, Facebook intrusion, and fear of missing out as correlates

Background: Phubbing is an increasingly common behavior that involves using a smartphone in a social setting of two or more people and interacting with the phone rather than with the other people. Research to date on phubbing has measured it using different scales or single questions, and therefore standard measures with appropriate psychometric properties are needed to improve its assessment. The aim of our study was to develop a Spanish version of the Phubbing Scale and to examine its psychometric properties: factor structure, reliability, and concurrent validity. Method: Participants were 759 Spanish adults between 18 and 68 years of age. They completed an online survey. Results: The results support a structure that is consistent with the original validation study, with two factors: Communication Disturbance and Phone Obsession. Internal consistency was found to be adequate. Evidence of concurrent validity was provided via a hierarchical regression model that showed positive associations with measures of internet addiction, Facebook intrusion, and fear of missing out. Conclusions: These results indicate that the Spanish version of the Phubbing Scale exhibits appropriate psychometric properties. &NA; Versión española de la Escala de Phubbing: adicción a Internet, intrusión de Facebook y miedo a perderse algo como correlatos. Antecedentes: el incremento del uso de los teléfonos móviles ha derivado en el incremento del phubbing, que se define como la conducta de ignorar a otras personas durante una interacción social por el uso del teléfono móvil. El objetivo de este estudio es desarrollar y validar la escala de Phubbing en su versión española y examinar sus propiedades psicométricas: estructura factorial, fiabilidad y validez concurrente. Método: se administró una batería de tests a 759 adultos españoles entre 18 y 68 años. Resultados: los resultados mostraron una estructura de dos factores consistente con la versión original: Disrupción de la comunicación y Obsesión con el teléfono móvil. La consistencia interna fue adecuada y las evidencias de validez concurrente, mediante regresión jerárquica, mostraron correlaciones positivas con medidas de adicción a Internet, adicción a Facebook y miedo a perderse algo (FoMO). Conclusiones: la escala de Phubbing en su versión española muestra adecuadas propiedades psicométricas.
Personalisation in Cyber Physical and Social Systems: the Case of Recommendations in Cultural Heritage Spaces

Providing recommendations to users evolving in physical spaces has been a research trend since a few years now, especially with the rise of recommending engines dedicated to cultural heritage spaces like museums or tourism. The evolution of our civilisation towards more and more pervasiveness of technology in our environment leads to define the spaces in which human-being evolve as Cyber-Physical-Social Systems (CPSS), in which humans cohabit with sensors, actuators, IT devices or robots, all of these entities interacting together. In this position paper, we formalised the recommendation problem in physical spaces from the general perspective of CPSS, introducing its multiple dimensions.
Persistently Elevated Microvascular Resistance Postrecanalization: A Clinical Marker of No-Reflow Phenomenon

Background and Purpose— Impaired microvascular reperfusion despite complete recanalization (no-reflow) represents a potential therapeutic target to improve outcomes after recanalization therapies. Although well documented in animal models, this phenomenon has not been demonstrated clinically. We investigated whether transcranial Doppler can detect acute microvascular changes postrecanalization as a biomarker of the no-reflow phenomenon in stroke patients. Methods— Consecutive patients with recanalized (Thrombolysis in Cerebral Infarction grade IIb/III) acute middle cerebral artery occlusion by thrombectomy at a Comprehensive Stroke Centre with a high-volume neurovascular laboratory were retrospectively identified. Sonographic measures of middle cerebral artery territory microvascular resistance (pulsatility index and resistive index) on days 1 to 3 follow-up transcranial Doppler were compared between patients and age/gender-matched controls. Results— In 53 patients, middle cerebral artery pulsatility index was significantly more likely to be asymmetrically increased on interside comparison (27.9% versus 4.9%; P=0.007) and abnormally elevated beyond normal reference ranges (46.7% versus 22.0%; P=0.016) in the symptomatic hemisphere. Middle cerebral artery pulsatility index elevation was associated with less hemorrhagic infarction (9.5% versus 45.8%; P=0.009) but worse functional outcome irrespective of infarct volume as assessed on 90-day modified Rankin Scale (score of ⩽1, 18.2% versus 58.1%; P=0.035). Conclusions— Elevated microvascular resistance within the ischemic territory is commonly present after successful recanalization as measured by pulsatility index on transcranial Doppler and may be a readily available and clinically relevant biomarker of the no-reflow phenomenon.
Complex Effects of Cytochrome P450 Monooxygenase on Purple Membrane and Bacterioruberin Production in an Extremely Halophilic Archaeon: Genetic, Phenotypic, and Transcriptomic Analyses

Halophilic archaea are known to produce a diverse array of pigments for phototrophy and photoprotection. The aim of this paper was to determine the role of a Halobacterium gene encoding the predicted cytochrome P450 monooxygenase (CYP174A1) in pigment synthesis through a combined genetic, phenotypic, and transcriptomic approach. We report on the observed phenotype changes [increased bacterioruberin levels and the loss of purple membrane (PM)] between the Halobacterium salinarum R1 and its CYP174A1-deletion mutant. In addition, we report on the whole-genome DNA microarray analysis, which supports the phenotype of PM loss. This work expands our understanding of the bop-gene regulon, and its relation to carotenoid biosynthesis, and sheds light on our broader understanding of the role (s) of CYP174A1 in archaeal pigment synthesis. To date, this is the first study in which the physiological role of any cytochrome P450 monooxygenase (CYP450) in extremely halophilic archaea has been reported.
Involvement of caveolin-1 in neurovascular unit remodeling after stroke: Effects on neovascularization and astrogliosis

Complex cellular and molecular events occur in the neurovascular unit after stroke, such as blood–brain barrier (BBB) dysfunction and inflammation that contribute to neuronal death, neurological deterioration and mortality. Caveolin-1 (Cav-1) has distinct physiological functions such as caveolae formation associated with endocytosis and transcytosis as well as in signaling pathways. Cav-1 has been proposed to be involved in BBB dysfunction after brain injury; however, its precise role is poorly understood. The goal of this study was to characterize the expression and effect of Cav-1 deletion on outcome in the first week in a transient Middle Cerebral Artery Occlusion stroke model. We found increased Cav-1 expression in new blood vessels in the lesion and in reactive astrocytes in the peri-lesion areas. In Cav-1 KO mice, the lesion volume was larger and the behavioral outcome worse than in WT mice. Cav-1 KO mice exhibited reduced neovascularization and modified astrogliosis, without formation of a proper glial scar around the lesion at three days post injury, coinciding with aggravated outcomes. Altogether, these results point towards a potential protective role of endogenous Cav-1 in the first days after ischemia by promoting neovascularization, astrogliosis and scar formation.
USP20 (Ubiquitin-Specific Protease 20) Inhibits TNF (Tumor Necrosis Factor)-Triggered Smooth Muscle Cell Inflammation and Attenuates Atherosclerosis

Objective— Signaling that activates NF&kgr;B (nuclear factor &kgr;B) in smooth muscle cells (SMCs) is integral to atherosclerosis and involves reversible ubiquitination that activates proteins downstream of proatherogenic receptors. Deubiquitination of these proteins is mediated by USP20 (ubiquitin-specific protease 20), among other deubiquitinases. We sought to determine whether USP20 activity in SMCs decreases atherosclerosis. Approach and Results— To address this question, we used male Ldlr−/− mice without (control) or with SMC-specific expression of murine USP20 (SMC-USP20-transgenic) or its dominant-negative (DN; C154S/H643Q) mutant (SMC-DN-USP20-transgenic). Before the appearance of intimal macrophages, NF&kgr;B activation in aortic medial SMCs was greater in SMC-DN-USP20-transgenic than in control mice. After 16 weeks on a Western diet, SMC-DN-USP20-transgenic mice had 46% greater brachiocephalic artery atheroma area than control mice. Congruently, aortic atherosclerosis assessed en face was 21% greater than control in SMC-DN-USP20-transgenic mice and 13% less than control in SMC-USP20-transgenic mice. In response to TNF (tumor necrosis factor), SMCs from SMC-DN-USP20-transgenic mice showed ≈3-fold greater NF&kgr;B activation than control SMCs. Silencing USP20 in SMCs with siRNA (small interfering RNA) augmented NF&kgr;B activation by ≈50% in response to either TNF or IL-1&bgr; (interleukin-1&bgr;). Coimmunoprecipitation experiments revealed that USP20 associates with several components of the TNFR1 (TNF receptor-1) signaling pathway, including RIPK1 (receptor-interacting protein kinase 1), a critical checkpoint in TNF-induced NF&kgr;B activation and inflammation. TNF evoked ≈2-fold more RIPK1 ubiquitination in SMC-DN-USP20-transgenic than in control SMCs, and RIPK1 was deubiquitinated by purified USP20 in vitro. Conclusions— USP20 attenuates TNF- and IL-1&bgr;–evoked atherogenic signaling in SMCs, by deubiquitinating RIPK1, among other signaling intermediates.
Attentional Control as a Predictor of Response to Psychological Treatment for Depression and Relapse up to 1 year After Treatment: A Pilot Cohort Study

Background: Identifying depressed patients unlikely to reach remission and those likely to relapse after reaching remission is of great importance, but there are few pre-treatment factors that can help clinicians predict prognosis and together these explain relatively little variance in treatment outcomes. Attentional control has shown promise in studies to date, but has not been investigated prospectively in routine clinical settings with depressed patients. Aims: This study aimed to pilot the use of a brief self-report measure of attentional control in routine care and investigate the associations between attentional control, psychological treatment response and relapse to depression up to 1 year post-treatment. Method: Depressed patients were recruited from two primary care psychological treatment (IAPT) services and completed the Attentional Control Scale (ACS) alongside routine symptom measures at every therapy session. Participants were tracked and followed up for 1 year post-treatment. Results: Baseline ACS scores were associated with remission and residual depressive symptoms post-treatment, and relapse within 12 months of ending treatment, all independent of pre-treatment depressive symptom severity, and the latter also independent of residual symptoms. Conclusion: A self-report measure of attentional control can potentially be used to predict levels of depressive symptoms post-treatment and can contribute to predicting risk of relapse to depression in IAPT services, without affecting rates of therapy completion/drop-out or data completion of standard IAPT measures. However, this pilot study had a small overall sample size and a very small number of observed relapses, so replication in a larger study is needed before firm conclusions can be made.
Navigating Automated Vehicle through Expressway Toll Gate

Path planning for automated driving vehicle in wide, unstructured toll gate is a difficult task while several surrounding vehicles are driving with almost random behavior. To deal with this problem, we propose a decision tree based method to control speed & acceleration of the host vehicle along a predefined path. Our proposed method is able to reach the destination without collision and with minimum changes in acceleration or deceleration. To validate the performance, we simulated the toll gate region in Nagoya Expressway, where driving area is wide with no lane markers. Simulation results show that the host vehicle is able to avoid potential collisions through acceleration or deceleration, which is determined by the proposed decision tree. Speed profiles show that host vehicle is driving in a comfortable range of acceleration/deceleration.