Wireless Kick Pedal

The goal of the project is to build a wireless kick pedal that allows accessibility to drummers that have leg or foot disabilities and add versatility to multi-instrumentalists looking to add percussion while playing another instrument. The proposed pedal is designed in two main parts, a wearable band that tracks the player’s movement, and a hammer mechanism that receives actuation commands from the wearable band to move the hammer and deliver a drumbeat. The band is designed to be worn on several parts of the body, including the ankle, knee, thigh, or even the arm depending on the user’s situation. This is to allow compatibility for musicians of differing ability. The team plans to communicate from the band to the hammer mechanism over a short-range wireless communication protocol, so that the response time to deliver a beat is as close to human response time as possible. The hammer mechanism for physically delivering the drumbeat is to be designed such that the hammer strikes the drum similarly to how a commercial pedal would. With this pedal design, the team hopes to invite more people to play the drums and spark new ideas in the future of instrument innovations

Utility of Multi-Theory Model (MTM) to Explain the Intention for PAP Adherence in Newly Diagnosed Sleep Apnea Patients

Purpose: The objective of this study was to assess the utility of a fourth-generation multi-theory model (MTM) in explaining the intention for initiation and sustenance of PAP adherence among newly diagnosed sleep apnea patients.Patients and Methods: For this cross-sectional study, data were collected at a private sleep center located in the Southeastern United States. A total of 138 newly diagnosed patients with sleep apnea who had been prescribed PAP therapy completed a valid and reliable 41-item MTM instrument. Stepwise multiple regression modeling was conducted to assess MTM based explanatory variables of PAP adherence in this study sample.Results: MTM constructs namely participatory dialogue (β = 0.17, p = 0.014), behavioral confidence (β = 0.48, p \u3c 0.001), and changes in the physical environment (β = 0.26, p = 0.001) were statistically significant predictors of the intention for initiation of PAP therapy and accounted for 53.5% of the variance. Emotional transformation (β = 0.57, p \u3c 0.001), changes in the social environment (β = 0.16, p = 0.016), and practice for change (β = 0.16, p = 0.047) were statistically significant predictors of the intention for sustenance of PAP therapy and accounted for 60.6% of the variance.Conclusion: The MTM was found to be a promising theoretical model in explaining the intention for initiation and sustenance of PAP therapy

Phosphorylation regulates cellulose biosynthesis regulation.

Plants comprise over 82% of all biomass on Earth, a third of which is cellulose, making it the most abundant organic compound¹. Cellulose is also essential for plant development and defense against multiple stresses. But, despite its relevance, there remains much to be discovered about its biosynthetic regulation to improve crop’s tolerance to biotic and abiotic stresses. We have described the Tetratricopeptide Thioredoxin‐Like (TTL² proteins as regulators of the cellulose synthase complex (CSC) under cellulose‐deficient conditions³. We found that TTLs are required to maintain cellulose synthesis under salt stress by relocalising from the cytosol to the CSCs, promoting the polymerization of microtubules to form a stress‐resilient cortical microtubule array, and interacting with the CSCs to stabilize them at the plasma membrane. We are currently investigating how TTLs are targeted to the CSCs. We have found that TTL3 is a substrate for a kinase that when mutated show cellulose‐defective phenotypes under stresses that affect cell wall integrity. We are currently analysing how the CSCs and microtubules behave under abiotic stress in mutants for this kinase. This will provide new insights into how changes in phosphorylation status regulate the activity and dynamic localization of these proteins.This work was funded by the Spanish Ministry for Science and Innovation (PID2020-114419RB-I00MCIN/AEI/10.13039/501100011033 ) to MAB. The Andalusian Research Plan co-financed by the European Union (PAIDI 2020- PY20_00084 and UMA20-FEDERJA-023) to MAB. FP was supported by FPU19/02219 fellowships and EMBO Scientific Exchange Grant 10026 and VAS was supported by an Emerging Investigator research project (UMA20-FEDERJA -007) and co-financed by the “Programa Operativo FEDER 2014-2020” and by the “Consejería de Economía y Conocimiento de la Junta de Andalucía”. Funding from the University of Zürich, and the Swiss National Science Foundation grants no. 31003A_182625 and no. 310030_212382 (to CZ). Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Automatic memory processes in normal ageing and Alzheimer’s disease

This study examined the contribution of automatic and controlled uses of memory to stem completion in young, middle-aged and older adults, and compared these data with a study involving patients with Alzheimer’s disease (AD) who performed the same task (Hudson and Robertson, 2007). In an inclusion task participants aimed to complete three-letter word stems with a previously studied word, in an exclusion task the aim was to avoid using studied words to complete stems. Performances under inclusion and exclusion conditions were contrasted to obtain estimates of controlled and automatic memory processes using process-dissociation calculations (Jacoby, 1991). An age-related decline, evident from middle age was observed for the estimate of controlled processing, whereas the estimate of automatic processing remained invariant across the age groups. This pattern stands in contrast to what is observed in AD, where both controlled and automatic processes have been shown to be impaired. Therefore, the impairment in memory processing on stem completion that is found in AD is qualitatively different from that observed in normal ageing

Functionally distinct PI 3-kinase pathways regulate myelination in the peripheral nervous system

Functionally and spatially distinct PI 3-K pathways act either early to promote myelination downstream of axonal Neuregulin1 or late to inhibit myelination downstream of α6β4 integrin and Sgk1

The Latest Lessons Learned from Retrieval Analyses of Ultra-High Molecular Weight Polyethylene, Metal-on-Metal, and Alternative Bearing Total Disc Replacements

Knowledge regarding the in vivo performance and periprosthetic tissue response of cervical and lumbar total disc replacements (TDRs) continues to expand. This review addresses the following 4 main questions: (1) What are the latest lessons learned from using polyethylene in large joints and how are they relevant to current TDRs? (2) What are the latest lessons learned regarding adverse local tissue reactions from metal-on-metal cobalt-chrome bearings in large joints and how are they relevant to current TDRs? (3) What advancements have been made in understanding the in vivo performance of alternative biomaterials, such as stainless steel and polycarbonate urethane, for TDRs in the past 5 years? (4) How has retrieval analysis of all these various artificial disc bearing technologies advanced the state-of-the-art in preclinical testing of TDRs? The study of explanted artificial discs and their associated tissues can help inform bearing selection as well as the design of future generations of disc arthroplasty. Analyzing retrieved artificial discs is also essential for validating preclinical test methods

Severity Index for Suspected Arbovirus (SISA) : machine learning for accurate prediction of hospitalization in subjects suspected of arboviral infection

Funding: This study was supported, in part, by the Department of Defense Global Emerging Infection Surveillance (https://health.mil/Military-Health-Topics/Combat-Support/Armed-Forces-Health-Surveillance-Branch/Global-Emerging-Infections-Surveillance-and-Response) grant (P0220_13_OT) and the Department of Medicine of SUNY Upstate Medical University (http://www.upstate.edu/medicine/). D.F., M.H. and P.H. were supported by the Ben Kean Fellowship from the American Society for Tropical Medicine and Hygeine (https://www.astmh.org/awards-fellowships-medals/benjamin-h-keen-travel-fellowship-in-tropical-medi). S.J.R and A.M.S-I were supported by NSF DEB EEID 1518681, NSF DEB RAPID 1641145 (https://www.nsf.gov/), A.M.S-I was additionally supported by the Prometeo program of the National Secretary of Higher Education, Science, Technology, and Innovation of Ecuador (http://prometeo.educacionsuperior.gob.ec/).Background: Dengue, chikungunya, and Zika are arboviruses of major global health concern. Decisions regarding the clinical management of suspected arboviral infection are challenging in resource-limited settings, particularly when deciding on patient hospitalization. The objective of this study was to determine if hospitalization of individuals with suspected arboviral infections could be predicted using subject intake data. Methodology/Principal findings: Two prediction models were developed using data from a surveillance study in Machala, a city in southern coastal Ecuador with a high burden of arboviral infections. Data were obtained from subjects who presented at sentinel medical centers with suspected arboviral infection (November 2013 to September 2017). The first prediction model-called the Severity Index for Suspected Arbovirus (SISA)-used only demographic and symptom data. The second prediction model-called the Severity Index for Suspected Arbovirus with Laboratory (SISAL)-incorporated laboratory data. These models were selected by comparing the prediction ability of seven machine learning algorithms; the area under the receiver operating characteristic curve from the prediction of a test dataset was used to select the final algorithm for each model. After eliminating those with missing data, the SISA dataset had 534 subjects, and the SISAL dataset had 98 subjects. For SISA, the best prediction algorithm was the generalized boosting model, with an AUC of 0.91. For SISAL, the best prediction algorithm was the elastic net with an AUC of 0.94. A sensitivity analysis revealed that SISA and SISAL are not directly comparable to one another. Conclusions/Significance: Both SISA and SISAL were able to predict arbovirus hospitalization with a high degree of accuracy in our dataset. These algorithms will need to be tested and validated on new data from future patients. Machine learning is a powerful prediction tool and provides an excellent option for new management tools and clinical assessment of arboviral infection.Publisher PDFPeer reviewe

Cold Atom Space Payload Atmospheric Drag Mission (CASPA-ADM)

To gain better understanding of the upper atmospheric dynamics requires more accurate determination of the mass density distribution in the thermosphere. Improved measurements of drag, by means of satellite accelerometery, can be used to more precisely determine this distribution. In addition, atmospheric drag in Low Earth Orbit (LEO) is particularly of interest for climate modelling, weather forecasting and satellite orbit prediction. RAL Space, Teledyne-e2v and the University of Birmingham are developing a Cold Atom Space Payload Atmospheric Drag Mission (CASPA-ADM). The aim of the project, supported by the UK Centre for Earth Observation Instrumentation (CEOI), is to develop a technology demonstrator based on Cold Atom Interferometry (CAI) to take sensitive measurements of atmospheric drag. The underlying CAI technology has been previously flown on the Chinese Space Station, the International Space Station, and in sounding rockets. However, it has not yet been used as the fundamental sensor technology in a free flight space mission. The team is producing a space-suitable accelerometer that can be embedded in small satellites such as 16U CubeSats and are addressing the engineering challenges associated with space qualification and miniaturisation, while keeping the performance level of systems with larger Size, Weight and Power (SWaP)

N-Acyl Homoserine Lactones in Diverse Pectobacterium and Dickeya Plant Pathogens: Diversity, Abundance, and Involvement in Virulence

Soft-rot bacteria Pectobacterium and Dickeya use N-acyl homoserine lactones (NAHSLs) as diffusible signals for coordinating quorum sensing communication. The production of NAHSLs was investigated in a set of reference strains and recently-collected isolates, which belong to six species and share the ability to infect the potato host plant. All the pathogens produced different NAHSLs, among which the 3-oxo-hexanoyl- and the 3-oxo-octanoyl-l-homoserine lactones represent at least 90% of total produced NAHSL-amounts. The level of NAHSLs varied from 0.6 to 2 pg/cfu. The involvement of NAHSLs in tuber maceration was investigated by electroporating a quorum quenching vector in each of the bacterial pathogen strains. All the NAHSL-lactonase expressing strains produced a lower amount of NAHSLs as compared to those harboring the empty vector. Moreover, all except Dickeya dadantii 3937 induced a lower level of symptoms in potato tuber assay. Noticeably, aggressiveness appeared to be independent of both nature and amount of produced signals. This work highlights that quorum sensing similarly contributed to virulence in most of the tested Pectobacterium and Dickeya, even the strains had been isolated recently or during the past decades. Thus, these key regulatory-molecules appear as credible targets for developing anti-virulence strategies against these plant pathogens