Online Protocols Research Articles

COVID-19 impact on neurology training program in Italy.

The ongoing COVID-19 pandemic is having a huge impact on clinical activity of all hospitals, including the ones involved in training of residents. In addition, neurology residents underwent substantial modifications of their training program. Aim of our investigation was to evaluate the impact of COVID-19 pandemic on the educational activities of Italian neurology residents through an online questionnaire delivered to neurology residents. The results obtained showed that almost 30% of the respondents were redistributed to COVID-19 units. Neurology departments underwent substantial modifications of their organization influencing clinical educational activities; lessons and seminars were rescheduled online and research protocols were stopped and transferred to remote working, when feasible. There was a relevant use of telemedicine approach even if most of the respondents had never been trained before. Some of the changes had a North-South gradient, following the epidemiology of the pandemic. The data obtained from our survey highlight those points to address to be prepared for possible future emergencies.Supplementary InformationThe online version contains supplementary material available at 10.1007/s10072-020-04991-5.

IMPACT OF CYBERCRIME ON SELECTED DEPOSIT MONEY BANKS (DMBs) IN THE FEDERAL CAPITAL TERTIARY (FCT)

Banking activities have become more complex with the introduction of Information and Communication Technology (ICT), which has changed the mode of bank crimes and fraudulent practices, therefore, this study is to examine the impact of cybercrimes on selected Deposit Money Banks (DMBs) in the Federal Capital Banks (FCT). The study used structured questionnaires and the population of the study is the staff and management of the selected Deposit Money Banks (DMBs) in the Federal Capital Banks (FCT). The sample size of the study was determined using population mean or average values with assumed Z corresponding value of 1 percent level of significance to be 2.58 and 0.56 as population standard deviation for a true value of the population mean. The study used the mean of descriptive analysis and Statistical Package for Social Science (SPSS) for the estimation of the mean values of the banking activities indicators which are Automated Teller Machine (ATM) usage by bank customers and online banking transactions by bank customers. The study revealed that cybercrimes have a negative impact on online banking transactions and Automated Teller Machine (ATM) usage by bank customers in Federal Capital Tertiary (FCT). The study also found that there is a high level of banking cybercrime activities in the (FCT), banks online protocols against banking cybercrime activities in (FCT) is adequate, fight against banking cybercrimes in the FCT by the related agencies is below expectation, poor financial literacy and low knowledge of internet operation are the major causes of banking cybercrimes and the awareness creation on banking cybercrimes by all the related agencies are adequate. Therefore, the study recommended that there should be more awareness creation on banking cybercrimes by all the related agencies to reduce the rate of online banking transactions and Automated Teller Machine (ATM) cybercrimes in the Federal Capital Tertiary (FCT).

Whole-mount staining of neuromuscular junctions in adult mouse diaphragms with a sandwich-like apparatus

BackgroundInvestigation of neuromuscular junction (NMJ) morphology by immunochemistry can provide important insights into the physiological and pathological status of neuromuscular disorders. Sectioning and muscle fiber tearing are commonly required to prepare experimentally accessible samples, while muscles that are flat and thin can be investigated with whole-mount immunohistochemistry for a comprehensive overview of the entire innervation pattern. The diaphragm is important for respiratory function and one of the flat muscles frequently used for studying neuromuscular development as well as neuromuscular pathology. Nevertheless, techniques for reliable whole-mount immunolabeling of adult diaphragms are lacking, mainly due to the poor tissue permeability of labeling reagents. An effective approach for researchers to be able to comprehensively visualize and characterize NMJ defects of the adult diaphragm in mouse models is therefore of clear importance. New MethodThis protocol demonstrates that the diaphragm can be thinned and spread out under even pressure using two Perspex boards for better whole-mount immunostaining. ResultsThe expanded mouse diaphragm allows the comprehensive assessment of a number of NMJ phenotypes. Comparison with existing methodsMost peer-reviewed and online protocols can be applied to the embryonic diaphragm but fail to show the entire innervation pattern in the adult diaphragm. Our method provides a convenient approach and present a clear innervation pattern that increases the reliability of the assessment of NMJ phenotypes in the diaphragm. ConclusionsThis simple method for whole-mount immunostaining of the adult diaphragm will allow researchers to perform a detailed analysis of the neuromuscular system in mouse models.

A Review of Methods to Determine Viability, Vitality, and Metabolic Rates in Microbiology.

Viability and metabolic assays are commonly used as proxies to assess the overall metabolism of microorganisms. The variety of these assays combined with little information provided by some assay kits or online protocols often leads to mistakes or poor interpretation of the results. In addition, the use of some of these assays is restricted to simple systems (mostly pure cultures), and care must be taken in their application to environmental samples. In this review, the necessary data are compiled to understand the reactions or measurements performed in many of the assays commonly used in various aspects of microbiology. Also, their relationships to each other, as metabolism links many of these assays, resulting in correlations between measured values and parameters, are discussed. Finally, the limitations of these assays are discussed.

Targeting cognition in schizophrenia through transcranial direct current stimulation: A systematic review and perspective

Cognitive deficits are a fundamental feature of schizophrenia for which currently no effective treatments exist. This paper examines the possibility to use transcranial direct current stimulation (tDCS) to target cognitive deficits in schizophrenia as evidence from studies in healthy participants suggests that tDCS may improve cognitive functions and associated neural processes.We carried out a systematic review with the following search terms: ‘tDCS’, ‘electric brain stimulation’, ‘schizophrenia’, ‘cognitive’, ‘cognition’ until March 2019. 659 records were identified initially, 612 of which were excluded after abstract screening. The remaining 47 articles were assessed for eligibility based on our criteria and 26 studies were excluded. In addition, we compared several variables, such as online vs. offline-stimulation protocols, stimulation type and intensity on mediating positive vs. negative study outcomes.The majority of studies (n = 21) identified significant behavioural and neural effects on a range of cognitive functions (versus n = 11 with null results), including working memory, attention and social cognition. However, we could not identify tDCS parameters (electrode montage, stimulation protocol, type and intensity) that clearly mediated effects on cognitive deficits.There is preliminary evidence for the possibility that tDCS may improve cognitive deficits in schizophrenia. We discuss the rationale and strength of evidence for using tDCS for targeting cognitive deficits in schizophrenia as well as methodological issues and potential mechanisms of action.

A Lightweight Approach to Academic Research Group Management Using Online Tools: Spend More Time on Research and Less on Management

After years of taking a trial-and-error approach to managing a moderate-size academic research group, I settled on using a set of online tools and protocols that seem effective, require relatively little effort to use and maintain, and are inexpensive. This paper discusses this approach to communication, project management, document and code management, and logistics. It is my hope that other researchers, especially new faculty and research scientists, might find this set of tools and protocols useful when determining how to manage their own research group. This paper is targeted toward research groups based in mathematics and engineering, although faculty in other disciplines may find inspiration in some of these ideas.

Utilization of computer vision and multispectral imaging techniques for classification of cowpea (Vigna unguiculata) seeds

BackgroundThe traditional methods for evaluating seeds are usually performed through destructive sampling followed by physical, physiological, biochemical and molecular determinations. Whilst proven to be effective, these approaches can be criticized as being destructive, time consuming, labor intensive and requiring experienced seed analysts. Thus, the objective of this study was to investigate the potential of computer vision and multispectral imaging systems supported with multivariate analysis for high-throughput classification of cowpea (Vigna unguiculata) seeds. An automated computer-vision germination system was utilized for uninterrupted monitoring of seeds during imbibition and germination to identify different categories of all individual seeds. By using spectral signatures of single cowpea seeds extracted from multispectral images, different multivariate analysis models based on linear discriminant analysis (LDA) were developed for classifying the seeds into different categories according to ageing, viability, seedling condition and speed of germination.ResultsThe results revealed that the LDA models had good accuracy in distinguishing ‘Aged’ and ‘Non-aged’ seeds with an overall correct classification (OCC) of 97.51, 96.76 and 97%, ‘Germinated’ and ‘Non-germinated’ seeds with OCC of 81.80, 79.05 and 81.0%, ‘Early germinated’, ‘Medium germinated’ and ‘Dead’ seeds with OCC of 77.21, 74.93 and 68.00% and among seeds that give ‘Normal’ and ‘Abnormal’ seedlings with OCC of 68.08, 64.34 and 62.00% in training, cross-validation and independent validation data sets, respectively. Image processing routines were also developed to exploit the full power of the multispectral imaging system in visualizing the difference among seed categories by applying the discriminant model in a pixel-wise manner.ConclusionThe results demonstrated the capability of the multispectral imaging system in the ultraviolet, visible and shortwave near infrared range to provide the required information necessary for the discrimination of individual cowpea seeds to different classes. Considering the short time of image acquisition and limited sample preparation, this stat-of-the art multispectral imaging method and chemometric analysis in classifying seeds could be a valuable tool for on-line classification protocols in cost-effective real-time sorting and grading processes as it provides not only morphological and physical features but also chemical information for the seeds being examined. Implementing image processing algorithms specific for seed quality assessment along with the declining cost and increasing power of computer hardware is very efficient to make the development of such computer-integrated systems more attractive in automatic inspection of seed quality.

Quality and Variability of Online Physical Therapy Protocols for Isolated Meniscal Repairs.

The ideal meniscal repair postoperative rehabilitation protocol has yet to be determined. Further, patients are attempting to access health care content online at a precipitously increasing rate given the efficiency of modern search engines. The purpose of this investigation was to assess the quality and variability of meniscal repair rehabilitation protocols published online with the hypothesis that there would be a high degree of variability found across available protocols. To this end, Web-based meniscal repair physical therapy protocols from U.S. academic orthopaedic programs as well as the first 10 protocols identified by the Google search engine for the term "meniscal repair physical therapy protocol" were reviewed and assessed via a custom scoring rubric. Twenty protocols were identified from 155 U.S. academic orthopaedic programs for a total of 30 protocols. Twenty-six protocols (86.6%) recommended immediate postoperative bracing. Twelve (40.0%) protocols permitted immediate weight-bearing as tolerated (WBAT) postoperatively, while the remaining protocols permitted WBAT at an average of 4.0 (range, 1-7) weeks. There was considerable variation in range of motion (ROM) goals, with most protocols (73.3%) initiating immediate passive ROM to 90°. The types and timing of strength, proprioception, agility, and pivoting exercises advised were extremely diverse. Only five protocols (16.7%) employed functional testing as a marker for return to athletics. The results of this study indicate that only a minority of academic orthopaedic programs publish meniscal repair physical therapy protocols online and that within the most readily available online protocols there are significant disparities in regards to brace use, ROM, weight-bearing, and strengthening and proprioception exercises. These discrepancies reflect the fact that the best rehabilitation practices after a meniscal repair have yet to be elucidated. This represents a significant area for improved patient care through standardization.

Pain Management in Prehospital Emergency Service: A Neglected Necessity in Iranian Healthcare System

Pain, as a complex neurophysiological and neuropsychological mechanism, is one of the most common experiences among patients in prehospital emergency service. Although, there is no accurate data regarding the prevalence of pain in prehospital settings like there is for hospital emergency departments, in developed countries, despite the contradictions in the results of the numerous studies, the evidence indicate the high prevalence of acute pain in prehospital emergency service ranging from 20% to 53%. Yet, unfortunately, in Iran there is no statistics available in this regard. The physiological (affecting cardiovascular, respiratory, endocrine and other systems) and psychological (anxiety, anger, aggression, and …) complications due to uncontrolled acute pain have many adverse effects on the clinical outcomes of medical and traumatic patients and impose immense direct and indirect financial burdens on the limited resources of healthcare systems. Therefore, effective pain management using various pharmaceutical and non-pharmaceutical methods both on the scene and during transportation has become a potentially indispensable necessity and considered as a potential key performance indicator according to the National Association of EMS Physicians. An extensive literature review also revealed remarkable improvements in the use of analgesics in prehospital emergency service of many developed countries and opioid analgesics (e.g., morphine sulfate, fentanyl and ketamine); nonsteroidal anti-inflammatory drugs (e.g., Ketorolac and ibuprofen); and Paracetamol and Nitric Oxide (inhalation gas) have been put on the list of prehospital emergency service for relieving patients’ pain, which can be used based on qualification/competencies, roles, responsibilities, and degrees (EMR, EMT, AEMT, paramedic) of the providers of prehospital care with approval of the consultant physician or through use of a combination of off-line and on-line medical protocols in this regard. The majority of recent studies in this field focus on the inadequacy of prehospital pain management as well as the comparison and combination of various analgesic drugs to enhance efficacy, effectiveness and quality of healthcare provision.

Deprescribing Benzodiazepines in Older Patients: Impact of Interventions Targeting Physicians, Pharmacists, and Patients

Benzodiazepines (BZDs; including the related Z-drugs) are frequently targets for deprescribing; long-term use in older people is harmful and often not beneficial. BZDs can result in significant harms, including falls, fractures, cognitive impairment, car crashes and a significant financial and legal burden to society. Deprescribing BZDs is problematic due to a complex interaction of drug, patient, physician and systematic barriers, including concern about a potentially distressing but rarely fatal withdrawal syndrome. Multiple studies have trialled interventions to deprescribe BZDs in older people and are discussed in this narrative review. Reported success rates of deprescribing BZD interventions range between 27 and 80%, and this variability can be attributed to heterogeneity of methodological approaches and limited generalisability to cognitively impaired patients. Interventions targeting the patient and/or carer include raising awareness (direct-to-consumer education, minimal interventions, and 'one-off' geriatrician counselling) and resourcing the patient (gradual dose reduction [GDR] with or without cognitive behavioural therapy, teaching relaxation techniques, and sleep hygiene). These are effective if the patient is motivated to cease and is not significantly cognitively impaired. Interventions targeted to physicians include prescribing interventions by audit, algorithm or medication review, and providing supervised GDR in combination with medication substitution. Pharmacists have less frequently been the targets for studies, but have key roles in several multifaceted interventions. Interventions are evaluated according to the Behaviour Change Wheel. Research supports trialling a stepwise approach in the cognitively intact older person, but having a low threshold to use less-consultative methods in patients with dementia. Several resources are available to support deprescribing of BZDs in clinical practice, including online protocols.

Hybrid online protocols for source location privacy in wireless sensor networks

Wireless sensor networks (WSNs) will form the building blocks of many novel applications such as asset monitoring. These applications will have to guarantee that the location of the occurrence of specific events is kept private from attackers, in what is called the source location privacy (SLP) problem. Fake sources have been used in numerous techniques, however, the solution’s efficiency is typically achieved by fine-tuning parameters at compile time. This is undesirable as WSN conditions may change. In this paper, we first present an SLP algorithm – Dynamic – that estimates the relevant parameters at runtime and show that it provides a high level of SLP, albeit at the expense of a high number of messages. To address this, we provide a hybrid online algorithm – DynamicSPR – that uses directed random walks for the fake sources allocation strategy to reduce energy usage. We perform simulations of the various protocols we present and our results show that DynamicSPR provides a similar level of SLP as when parameters are optimised at compile-time, with a lower number of messages sent.

Exact Identification of a Quantum Change Point.

The detection of change points is a pivotal task in statistical analysis. In the quantum realm, it is a new primitive where one aims at identifying the point where a source that supposedly prepares a sequence of particles in identical quantum states starts preparing a mutated one. We obtain the optimal procedure to identify the change point with certainty-naturally at the price of having a certain probability of getting an inconclusive answer. We obtain the analytical form of the optimal probability of successful identification for any length of the particle sequence. We show that the conditional success probabilities of identifying each possible change point show an unexpected oscillatory behavior. We also discuss local (online) protocols and compare them with the optimal procedure.

Version-sensitive mobile App recommendation

Being part and parcel of the daily life for billions of people all over the globe, the domain of mobile Applications (Apps) is the fastest growing sector of mobile market today. Users, however, are frequently overwhelmed by the vast number of released Apps and frequently updated versions. Towards this end, we propose a novel version-sensitive mobile App recommendation framework. It is able to recommend appropriate Apps to right users by jointly exploring the version progression and dual-heterogeneous data. It is helpful for alleviating the data sparsity problem caused by version division. As a byproduct, it can be utilized to solve the in-matrix and out-of-matrix cold-start problems. Considering the progression of versions within the same categories, the performance of our proposed framework can be further improved. It is worth emphasizing that our proposed version progression modeling can work as a plug-in component to be embedded into most of the existing latent factor-based algorithms. To support the online learning, we design an incremental update strategy for the framework to adapt the dynamic data in real-time. Extensive experiments on a real-world dataset have demonstrated the promising performance of our proposed approach with both offline and online protocols. Relevant data, code, and parameter settings are available at http://apprec.wixsite.com/version.

"Unfocus" on foc.us: commercial tDCS headset impairs working memory.

In this study, we tested whether the commercial transcranial direct current stimulation (tDCS) headset foc.us improves cognitive performance, as advertised in the media. A single-blind, sham-controlled, within-subject design was used to assess the effect of online and off-line foc.us tDCS—applied over the prefrontal cortex in healthy young volunteers (n = 24) on working memory (WM) updating and monitoring. WM updating and monitoring, as assessed by means of the N-back task, is a cognitive-control process that has been shown to benefit from interventions with CE-certified tDCS devices. For both online and off-line stimulation protocols, results showed that active stimulation with foc.us, compared to sham stimulation, significantly decreased accuracy performance in a well-established task tapping WM updating and monitoring. These results provide evidence for the important role of the scientific community in validating and testing far-reaching claims made by the brain training industry.

Theory and learning protocols for the material tempotron model

Neural networks are able to extract information from the timing of spikes. Here we provide new results on the behavior of the simplest neuronal model which is able to decode information embedded in temporal spike patterns, the so-called tempotron. Using statistical physics techniques we compute the capacity for the case of sparse, time-discretized input, and ‘material’ discrete synapses, showing that the device saturates the information theoretic bounds with a statistics of output spikes that is consistent with the statistics of the inputs. We also derive two simple and highly efficient learning algorithms which are able to learn a number of associations which are close to the theoretical limit. The simplest versions of these algorithms correspond to distributed online protocols of interest for neuromorphic devices, and can be adapted to address the more biologically relevant continuous-time version of the classification problem, hopefully allowing the understanding of some aspects of synaptic plasticity.

A novel robust on-line protocol for load-balancing in structured peer-to-peer systems

In this paper, we revisit the problem of load-balancing structured peer-to-peer systems with on-line protocols. Load-balancing is of major significance for large-scale decentralized networks in terms of enhanced scalability and performance. The main incentives behind balancing schemes are under-utilization of bandwidth and computer resources. Therefore, our methods focus mainly on task-skew. Specifically, we address the problem with on-line protocols on the basis of migration and enhanced availability. In particular, the cornerstones of our methods are the notions of virtual nodes, replication and Multiple realities, combined altogether with allocation techniques based on balls-in-bins games. The rationale of our dynamic protocol to depend exclusively on peer load distribution preserves intact the structural properties and search efficiency of the overlay used as an indexing infrastructure, while preserving the semantic information of the data (e.g., range partitioned network). We also propose an effective load-aware mechanism to facilitate robust operations that counteract against contingent churn failures. Finally, our work is complemented with extensive experiments using both real and synthetic data sets.

IBIRA – integrated bioinformatics information resource access

PurposeBioinformatics is an emerging discipline where the interdisciplinary research holds great promise for the advancement of research and development in many complex areas. The research output generates a huge amount of data and information. Because of the heterogeneous nature of bioinformatics resources, difficulty in accessing pertinent information is the biggest challenge for the bioinformatics community. The integration of bioinformatics resources in a comprehensive manner is advocated by the bioinformatics user community as well as by information scientists serving this community. There are have already been some efforts made for integration of bioinformatics resources by the discrete bioinformatics community, but these are based on the requirement of their own area and arena. This paper aims to discuss the design and development of a tool for the integration of various heterogeneous bioinformatics information resources available over the internet.Design/methodology/approachThe authors have developed a tool with the acronym “iBIRA” (Integrated Bioinformatics Information Resource Access) that associates the bioinformatics community with the bioinformatics “resourceome” (the term suggested for the “full set of bioinformatics resources” by Cannata et al.). Available over the internet. iBIRA (www.ibiranet.in) integrates bioinformatics resources in a way such that it is possible to locate, connect and communicate different categories of resources in a cohesive manner. A software engineering and database‐driven approach was used for the integration and organization of bioinformatics resources. Computational programming such as Hypertext Preprocessor (PHP), a server‐side dynamic web programming language, and MySQL as a database management system have been used. Dublin Core Metadata Standards have been used for the design of metadata for bioinformatics resources..FindingsThe term “resource” in the area of bioinformatics covers various entities such as journals, molecular biology databases, online annotation tools, patents, published documents (articles, books, etc), protocols, software tools, and web servers. It has been found that bioinformatics resources are heterogeneous in nature and available over the internet in different forms and formats. The fact that bioinformatics resources are scattered over the internet makes resource discovery difficult for the bioinformatics community, and there is need for a system that reorganizes these resources. The integration of all the resources of bioinformatics at a single platform (called “iBIRA”) provides significant “value added” to the bioinformatics community, those serving this population.Originality/valueThe iBIRA tool is a meta‐server developed to provide information service about the availability of various bioinformatics resources to the bioinformatics community. This will provide a value‐added benefit to the population in helping them to locate relevant resources for their education, research and training.

How does imaging frequency and soft tissue motion affect the PTV margin size in partial breast and boost radiotherapy?

PurposeThis study investigates (i) the effect of verification protocols on treatment accuracy and PTV margins for partial breast and boost breast radiotherapy with short fractionation schema (15 fractions), (ii) the effect of deformation of the excision cavity (EC) on PTV margin size, (iii) the imaging dose required to achieve specific PTV margins. Methods and materialsVerification images using implanted EC markers were studied in 36 patients. Target motion was estimated for a 15 fraction partial breast regimen using imaging protocols based on on-line and off-line motion correction strategies (No Action Level (NAL) and the extended NAL (eNAL) protocols). Target motion was used to estimate a PTV margin for each protocol. To evaluate treatment errors due to deformation of the excision cavity, individual marker positions were obtained from 11 patients. The mean clip displacement and daily variation in clip position during radiotherapy were determined and the contribution of these errors to PTV margin calculated. Published imaging dose data were used to estimate total dose for each protocol. Finally the number of images required to obtain a specific PTV margin was evaluated and hence, the relationship between PTV margins and imaging dose was investigated. ResultsThe PTV margin required to account for excision cavity motion, varied between 10.2 and 2.4mm depending on the correction strategy used. Average clip movement was 0.8mm and average variation in clip position during treatment was 0.4mm. The contribution to PTV margin from deformation was estimated to be small, less than 0.2mm for both off-line and on-line correction protocols. ConclusionA boost or partial breast PTV margin of ∼10mm, is possible with zero imaging dose and workload, however, patients receiving boost radiotherapy may benefit from a margin reduction of ∼4mm with imaging doses from 0.4cGy to 25cGy using an eNAL protocol. PTV margin contributions from deformation errors are likely to be small in comparison to other sources of error, i.e., set up or delineation.

Immediate detection of predicates in pervasive environments

An important problem in pervasive environments is detecting predicates on sensed variables in an asynchronous distributed setting to determine context and to respond. We do not assume the availability of synchronized physical clocks because they may not be available or may be too expensive for predicate detection in such environments with a (relatively) low event occurrence rate. We address the problem of detecting each occurrence of a global predicate, at the earliest possible instant, by proposing a suite of three on-line middleware protocols having varying degrees of accuracy. We analyze the degree of accuracy for the proposed protocols. The extent of false negatives and false positives is determined by the run-time message processing latencies.

New Method for Monitoring Programmed Cell Death and Differentiation in Submerged Streptomyces Cultures

Vital stains were used in combination with fluorimetry for the elaboration of a new method to quantify Streptomyces programmed cell death, one of the key events in Streptomyces differentiation. The experimental approach described opens the possibility of designing online protocols for automatic monitoring of industrial fermentations.