Miracle-dz/UniFAR-FTUs huggingface dataset:
MARE: Mobile Augmented Reality BasedExperiments in Science, Technology and Engineering

The average learner today, being quite exposed to information and communication technologytools, is less inclined to read books or manuals and prefers to carry out most of thecommunications on-line using new/modern electronic devices or gadgets. The traditionalteaching styles built around using only face-to-face classroom based lessons no longer suit thelearning styles of the average learner; introducing multimedia or other on-line content intoteaching results in improved performance by the learners. Blended e-learning or other on-lineteaching strategies tend to focus on the delivery of theoretical material; however thepedagogy/training of engineers, technologists and scientists involves a strong hands-onpractical/laboratory training component as they are expected to create new things/technologiesand not just repeat what previous generations did. The benefits of this hands-on or practicalcomponent include stimulating deep and reflective learning, thereby improving the creativeproblem solving capabilities while also providing exposure/insight into real world problemsand challenges. This chapter introduces mobile augmented reality (semi-immersive 3D virtualreality) as a vehicle for the delivery of practical laboratory experiments in science, technologyand engineering. Mobile augmented reality delivers multi-sensorial interactions with acomputing platform over commodity hardware technology that is already widely accepted.Two illustrated examples in the fields of micro-electronics and communications engineeringare presented to highlight the innovative features such as the ability to closely replicate anexisting laboratory based hands-on experiment and use of the mobile augmented realityexperiment as a blended learning aid for laboratory experiments or stand-alone off-lineexperiment for distance learning.
Peripheral benzodiazepine receptor TSPO needs to be reconsidered before using as a drug target for a pigmentary disorder

The peripheral benzodiazepine receptor (TSPO/PBR) is highly conserved among different species but with perplexing biochemical functions. Multiple ligands of TSPO show commendable regulatory activities in lots of biological functions, such as neuro‐protection, cholesterol transport, and so on. These researches support that TSPO may be a potential target for disease treatment and drug development. Previous studies have shown that its ligands benzodiazepines show a satisfactory effect on melanogenic promotion. However, the potential application of TSPO in drug development for pigmentary disorder needs further investigation. In this study, we confirmed the melanogenesis induction of TSPO ligand, Ro5‐4864 in mouse melanoma cell lines, human skin tissue, and zebrafish embryos by inducing melanin synthesis and melanosome transport. Molecular genetics and pharmacological studies showed that TSPO deficiency did not affect melanin production in B16F10 cells and zebrafish embryos, nor did it affect the melanin promotion effect of Ro5‐4864. Whether or not TSPO exists, the expression of lots of melanogenesis‐related proteins, such as TYR, TRP‐1, DCT, Mlph, and Rab27 was upregulated with the Ro5‐4864 administration. These results indicated that Ro5‐4864 induces melanogenesis in a TSPO‐independent manner, which is inconsistent with previous research. This research is a reminder that we need to be very careful during target validation in drug development.
Association of Access to Crisis Intervention Teams With County Sociodemographic Characteristics and State Medicaid Policies and Its Implications for a New Mental Health Crisis Lifeline

Key Points Question How did county-level access to crisis intervention team (CIT) services change in 2020 compared with 2015, and was CIT access associated with area and state policy characteristics in 2020? Findings In this study of more than 10 000 facilities in 3142 US counties, most US residents lived in counties with access to at least 1 mental health facility offering CIT services; however, fewer than half of US counties had such access. Counties without CIT access tended to have populations that were older and more likely to be uninsured, and they were more likely to be rural. Meaning Encouraging facilities in rural counties to offer CIT may help realize the potential of policies to address behavioral health crises, such as the new mental health crisis lifeline.
Multiple chikungunya virus introductions in Lao PDR from 2014 to 2020

The first documented chikungunya virus (CHIKV) outbreak in Lao People’s Democratic Republic (Lao PDR) occurred in 2012–2013. Since then, several imported and a few autochthonous cases were identified by the national arbovirus surveillance network. The present study aimed to summarize the main genetic features of the CHIKV strains detected in Lao PDR between 2014 and 2020. Samples from Lao patients presenting symptoms compatible with a CHIKV infection were centralized in Vientiane Capital city for real-time RT-PCR screening. Molecular epidemiology was performed by sequencing the E2-6K-E1 region. From 2014 to 2020, two Asian lineage isolates (e.g. French Polynesia; Indonesia), one ECSA-IOL lineage isolate (e.g. Thailand) and one unclassified (e.g. Myanmar) were imported in Vientiane Capital city. Sequences from the autochthonous cases recorded in the Central and Southern parts of the country between July and September 2020 belonged to the ECSA-IOL lineage and clustered with CHIKV strains recently detected in neighboring countries. These results demonstrate the multiple CHIKV introductions in Lao PDR since 2014 and provide evidence for sporadic and time-limited circulation of CHIKV in the country. Even if the circulation of CHIKV seems to be geographically and temporally limited in Lao PDR, the development of international tourism and trade may cause future outbreaks of CHIKV in the country and at the regional level.
Imaging-based deep learning in liver diseases

Liver disease is a collective term for hepatic damage caused by heterogeneous etiologies and poses a heavy health burden worldwide. Modern medical imaging, such as computed tomography (CT), magnetic resonance imaging (MRI), and ultrasonography, plays an essential role in the diagnosis and management of liver diseases. Imaging-based deep learning (DL) is one of the most actively investigated techniques in recent decade. It enables high-dimensional features extraction through the layered structures and can be used in a variety of clinical scenarios, especially with the convolutional neural network in computer vision.
Pediatric Critical Care Nursing Research Priorities in Asia: An eDelphi Study*

Objectives: To identify nursing research priorities in pediatric critical care in Asia. Design: We conducted a modified three-round eDelphi survey with pediatric critical care nurses in Asia. The eDelphi technique has been extensively used within health research to achieve a common viewpoint from experts using questionnaires to gather research priorities. In round 1, participants were asked to list three to five research topics that they deemed important. These topics were thematically analyzed and categorized into a questionnaire. Participants rated the research topics in round 2 on a 6-point scale (1 = not important to 6 = extremely important). In round 3, the same questionnaire was used with addition of the calculated mean scores from round 2 for each topic. Research topics ranked among the top 10 were considered extremely important. Settings: Twenty-two PICUs in eight Asian countries. SUBJECTS: Clinical nurses, managers, educators, and researchers. Interventions: None. Measurements and Main Results: In round 1, 146 PICU nurses across eight countries provided 520 research topics. Topics from round 1 were categorized into seven domains with 52 research topics. Prioritized research topics included early recognition of patient deterioration (mean 5.58 ± 0.61), prevention of healthcare-associated infections (mean 5.47 ± 0.70), and interventions to reduce compassion fatigue (mean 5.45 ± 0.80). The top three research domains were end-of-life care (mean 5.34 ± 0.68), professionalism (mean 5.34 ± 0.69), and management of pain, sedation, and delirium (5.32 ± 0.72). Conclusions: This first PICU nursing research prioritization exercise within Asia identified key nursing research themes that should be prioritized and provide a framework for future collaborative studies.
Single-Domain Antibody Theranostics on the Horizon

Single-domain antibody (sdAb) is among the most promising vectors for developing molecular imaging tracers. Several sdAb tracers targeting human epidermal growth factor receptor 2 or programmed death ligand 1 have entered clinical practice. However, radiolabeled single-valent sdAbs generally have high kidney retention, limiting their therapeutic applications. Therefore, engineering strategies such as PEGylation or incorporation of renal cleavable linkers can be adapted to improve pharmacokinetics and reduce kidney retention. In this Focus on Molecular Imaging review, we try to summarize the latest developments in sdAb-derived agents and propose potential strategies that can be used to improve the theranostic value of radiolabeled sdAbs.
The accelerated design of the nanoantenna arrays by deep learning

Nanoantenna fusion photonics and nanotechnology can manipulate light through the ultra-thin structure composed of sub-wavelength antennas, and meet the important requirements for miniaturized optical components, completely changing the field of optics. However, the device design process is still time-consuming and consumes computing resources. Besides, the professional knowledge requirements of engineers are also high. Relying on the algorithm’s inference ability and excellent computing ability, artificial intelligence has great potential in the fields of material design, material screening, and device performance prediction. However, the deep learning (DL) requires a mass of data. Therefore, this article proposes a method for the forward and inverse design of nanoantenna based on DL. Compared with the previous work, the network uses a two-dimensional matrix as input, which has a simple structure and is more suitable for the advantages of deep netural network. Simultaneously, the small datasets can be used to achieve higher accuracy. In the forward prediction, 100% of the data error is less than 0.007; in the inverse prediction, the data with error less than 0.05 accounted for 90%, 99.8% and 100% of the length, height, and width’s datasets. It demonstrates that the method can improve the automation of the design process and reduce the consumption of computer resources.
Uniting genetic and geographic databases to understand the relationship between latitude and population demography

It was not known that phylogenetic analysis of population genetic data would show geographic structure when Avise et al. (1979) introduced the unnamed field of phylogeography. Since then, the field has grown from using single gene fragments to whole genomes resulting in more than 22,000 publications. This seemingly simple relationship between geography and genetic variation has provided the foundation for studying speciation, species delimitation, hybrid zone dynamics, adaptation, conservation genetics, community assembly, and historical demography to name a few (see Burbrink & Ruane, 2021; Edwards et al., 2016). As with many burgeoning fields, there is often little consideration of how to make data sets accessible for future researchers addressing more comprehensive questions under a common framework. For example, it is important in biogeography to examine how shared environments or barriers affect population structure across communities of species, or test if range size or latitude are correlated with genetic diversity across taxa (Myers et al., 2019; Smith et al., 2017). However, addressing these types of questions using existing data requires researchers to assemble large databases manually. Genetic and geographic databases used to store this information like NCBI Genbank (National Center for Biotechnology Information) and GBIF (Global Biodiversity Information Facility) are disconnected, and often of limited general use for conducting multitaxon studies. In this issue of Molecular Ecology Resources, Pelletier et al. (2022) have automated the process of connecting geography to DNA sequences via the phylogatR (phylogeographic data aggregation and repurposing) database.
Patient Outcomes After Minimally Invasive Excision of Lumbar Synovial Cysts, With and Without a Spondylolisthesis, in an Ambulatory Care Center Setting

Background Lumbar synovial cysts are thought to signal facet joint degeneration and possible instability, leading some surgeons to routinely add a fusion to the decompressive procedure. These recommendations were formulated before the minimally invasive surgery (MIS) era. Here we describe our outcomes in surgical treatment of lumbar synovial cysts using MIS techniques. Methods The charts of 117 patients who underwent MIS resection of a synovial cyst were retrospectively reviewed. All surgeries were carried out in an ambulatory surgery center (ASC). The preoperative and postoperative visual analog scale (VAS) and Oswestry Disability Index (ODI) were collected prospectively. Surgical variables and complications were also reviewed. The subset of 48 patients followed for over 1 year was analyzed, and the outcome of patients with and without a spondylolisthesis was compared. Results A total of 117 patients underwent MIS decompression of a synovial cyst. Postoperative follow-up ranged from 3 to 12 months. There were no perioperative complications or 30-day readmissions. Preoperative mean VAS and ODI were 6.2 and 46.7. The postoperative VAS and ODI declined by 3.0 and 22.0 over a mean of 125 days. There were 48 patients with a mean follow-up of 15 months, where the VAS and ODI declined by 2.8 and 22.5, respectively. In this subset, the 23 patients with a spondylolisthesis (all grade 1), were compared to the 25 patients without. The spondylolisthesis group VAS and ODI, preoperatively and postoperatively, declined by 3.3 and 26.1, respectively, while the nonspondylolisthesis group declined by 2.6 and 19.2. These results for each group in this study surpass the standard for a minimal clinically important difference. Conclusions Patients with lumbar synovial cysts may safely undergo MIS decompression in an ASC setting, with a low risk of perioperative complications. The reduction in pain and disability is meaningful in the short term and sustained over the next 15 months. The presence of a grade 1 spondylolisthesis did not adversely impact patient outcomes over this time period. For patients undergoing MIS resection of a lumbar synovial cyst, with either the presence or absence of a grade 1 spondylolisthesis, the mandatory inclusion of a concomitant spinal fusion is brought into question. Clinical Relevance This work is among the largest series of synovial cysts published in which the MIS technique is applied. It demonstrates the efficacy of the procedure, along with its safety and appropriateness for performance in an ambulatory care setting. Moreover, it describes the outcomes using the patient-reported outcome measures VAS and ODI. Finally, the long-term outcomes of patients with and without spondylolisthesis are compared, further supporting the position that when performing a decompression of a synovial cyst with an associated grade 1 spondylolisthesis, a concomitant fusion may not always be necessary. Level of Evidence 4.
The spatio-temporal features of perceived-as-genuine and deliberate expressions

Reading the genuineness of facial expressions is important for increasing the credibility of information conveyed by faces. However, it remains unclear which spatio-temporal characteristics of facial movements serve as critical cues to the perceived genuineness of facial expressions. This study focused on observable spatio-temporal differences between perceived-as-genuine and deliberate expressions of happiness and anger expressions. In this experiment, 89 Japanese participants were asked to judge the perceived genuineness of faces in videos showing happiness or anger expressions. To identify diagnostic facial cues to the perceived genuineness of the facial expressions, we analyzed a total of 128 face videos using an automated facial action detection system; thereby, moment-to-moment activations in facial action units were annotated, and nonnegative matrix factorization extracted sparse and meaningful components from all action units data. The results showed that genuineness judgments reduced when more spatial patterns were observed in facial expressions. As for the temporal features, the perceived-as-deliberate expressions of happiness generally had faster onsets to the peak than the perceived-as-genuine expressions of happiness. Moreover, opening the mouth negatively contributed to the perceived-as-genuine expressions, irrespective of the type of facial expressions. These findings provide the first evidence for dynamic facial cues to the perceived genuineness of happiness and anger expressions.
Content validity of the International Classification of Functioning, Disability and Health core set for knee dysfunction: a Delphi study

ABSTRACT Objective To assess the content validity of the preliminary core set for knee dysfunction based on the opinion of experts. Design A panel of 180 experts in knee disorders or on the use of the International Classification of Functioning, Disability, and Health for musculoskeletal conditions was invited for this Delphi study. The experts gave their opinion on whether to include the categories of the preliminary core set for knee dysfunction in a more comprehensive core set, using a six-item Likert scale. Kappa coefficient was used to analyze the agreement between the experts, and a consensus of 75% among responses was considered acceptable. Results Nineteen experts participated in all rounds. Of the 24 categories from the preliminary core set for knee dysfunction, 15 remained in the comprehensive core set and one category was further detailed into three new categories. Seven new categories were included. Thus, the comprehensive core set for knee dysfunction was composed of 25 categories with an agreement of 81.5% among responses and a Kappa value of 0.63. Conclusion After validation by experts, the comprehensive core set for knee dysfunction was composed of 25 categories that can be used to assess the functioning of patients with knee dysfunction.
Treatment-Monitoring Capabilities of Serum and Urine Biomarkers for Meniscal Allograft Transplantation in a Preclinical Canine Model

Background: Meniscal allograft transplantation (MAT) has been developed as a treatment for meniscal deficiency. Despite promising outcomes, there are no real-time methods to evaluate graft survivorship and predict functional outcomes. Hypothesis: Assessment of serum and urine biomarkers could be used to develop biomarker panels—prognostic (1- and 3-month postsurgical time points) and diagnostic (6-month time point)—based on strong associations with clinically relevant outcome metrics obtained 6 months after surgery. Study Design: Descriptive laboratory study. Methods: Twelve adult purpose-bred research hounds were included and underwent medial meniscal release to induce meniscal deficiency. Three months after meniscal release surgery, medial menisci were replaced with fresh-frozen meniscus (n = 4), fresh meniscus (n = 4), or fresh meniscotibial osteochondral allograft (n = 4) such that a spectrum of pain and functional outcomes could be anticipated. Serum and urine from all dogs were collected preoperatively and at 1, 3, and 6 months after MAT surgery. Dogs were assessed for pain-related and functional outcomes at the same time points. To develop a prognostic panel of biomarkers, biomarker data from the 1- and 3-month post-MAT surgery time points were used to model 6-month clinical outcomes. A diagnostic panel of biomarkers was developed using data from the 6-month post-MAT surgery to model 6-month clinical outcomes. Primary outcomes for pain and function were visual analog scale (VAS) and operated limb percentage total pressure index (%TPI), respectively. Using random subject effects, linear mixed models were used to develop prognostic biomarker panels, and linear fixed-effect models were used to develop diagnostic biomarker panels, with variance explained for each panel reported (R2) along with individual biomarker relationships. Results: Across prognostic biomarker panels, a panel including serum IL-6, IL-8, IL-10, and IL-18 was fit for the primary functional outcome, operated limb %TPI (R2 = 0.450), whereas a panel including serum CTX-II and OPG was fit for the primary pain-related outcome, VAS (R2 = 0.516). Across diagnostic biomarker panels, a panel including serum MMP-1 and MMP-3 and urine PINP and TIMP-1 was fit for %TPI (R2 = 0.863). Separately, a panel including urine CTX-I, CTX-II, IL-8, MMP-2, and TIMP-1 was fit as diagnostic biomarkers for the VAS for pain (R2 = 0.438). Conclusion: Biomarker panels of selected serum and/or urine proteins can model clinically relevant metrics for function and pain in a preclinical model of MAT. Clinical Relevance: Biomarker panels could be used to provide real-time diagnostic and prognostic data regarding outcomes after MAT.
The evolutionary patterns of barley pericentromeric chromosome regions, as shaped by linkage disequilibrium and domestication

SUMMARY The distribution of recombination events along large cereal chromosomes is uneven and is generally restricted to gene‐rich telomeric ends. To understand how the lack of recombination affects diversity in the large pericentromeric regions, we analysed deep exome capture data from a final panel of 815 Hordeum vulgare (barley) cultivars, landraces and wild barleys, sampled from across their eco‐geographical ranges. We defined and compared variant data across the pericentromeric and non‐pericentromeric regions, observing a clear partitioning of diversity both within and between chromosomes and germplasm groups. Dramatically reduced diversity was found in the pericentromeres of both cultivars and landraces when compared with wild barley. We observed a mixture of completely and partially differentiated single‐nucleotide polymorphisms (SNPs) between domesticated and wild gene pools, suggesting that domesticated gene pools were derived from multiple wild ancestors. Patterns of genome‐wide linkage disequilibrium, haplotype block size and number, and variant frequency within blocks showed clear contrasts among individual chromosomes and between cultivars and wild barleys. Although most cultivar chromosomes shared a single major pericentromeric haplotype, chromosome 7H clearly differentiated the two‐row and six‐row types associated with different geographical origins. Within the pericentromeric regions we identified 22 387 non‐synonymous SNPs, 92 of which were fixed for alternative alleles in cultivar versus wild accessions. Surprisingly, only 29 SNPs found exclusively in the cultivars were predicted to be ‘highly deleterious’. Overall, our data reveal an unconventional pericentromeric genetic landscape among distinct barley gene pools, with different evolutionary processes driving domestication and diversification.