Modified Pure Endoscopic Approach to Pineal Region: Proof of Concept of Efficient and Inexpensive Surgical Model Based on Laboratory Dissections.

OBJECTIVE: In recent decades endoscopic techniques have been increasingly used in neurosurgery as they may offer a valuable close-up view of the working area through a minimally invasive surgical corridor. Herein, we present an inexpensive and efficient endoscopic surgical model using a borescope, which was used for a "modified pure endoscopic approach" to the pineal region. METHODS: A borescope video camera was connected to a 16-inch personal computer monitor. A standard midline suboccipital craniotomy was performed on 2 cadaveric heads in the Concorde position. Then, a "borescopic" supracerebellar infratentorial approach was executed, thus reaching the pineal region, which was exposed through an extensive arachnoid dissection. RESULTS: Using the previously described model, we were able to provide excellent exposure of the main neurovascular structures of the pineal region, as shown by the intraoperative videos. In 1 specimen we identified an incidental pineal cyst that was meticulously dissected and removed. CONCLUSIONS: Our proposed "borescopic" surgical model may represent an inexpensive and efficient alternative to conventional endoscopic techniques and could be used for training purposes, as well as even for clinical procedures, after a proper validation, particularly in economically challenging environments.

Digital Inequality and Developmental Trajectories of Low-income, Immigrant, and Minority Children.

Children growing up in the United States today are more ethnically and racially diverse than at any time in the nation's history. Because of rising income inequality, almost half of the 72 million children in the United States are also growing up in low-income families, with immigrant and children of color disproportionately likely to be within their ranks. Children in low-income households are more likely to face a number of social challenges, including constrained access to the Internet and devices that connect to it (ie, digital inequality), which can exacerbate other, more entrenched disparities between them and their more privileged counterparts. Although the American Academy of Pediatrics' new guidelines encourage clinicians to reduce children's overexposure to technology, we argue for a more nuanced approach that also considers how digital inequality can reduce low-income children's access to a range of social opportunities. We review previous research on how digital inequality affects children's learning and development and identify areas where more research is needed on how digital inequality relates to specific aspects of children's developmental trajectories, and to identify what interventions at the family, school, and community levels can mitigate the adverse effects of digital inequality as children move through their formal schooling. On the basis of the evidence to date, we conclude with guidelines for clinicians related to supporting digital connectivity and more equitable access to social opportunity for the increasingly diverse population of children growing up in the United States.

Defense Against Chip Cloning Attacks Based on Fractional Hopfield Neural Networks.

This paper presents a state-of-the-art application of fractional hopfield neural networks (FHNNs) to defend against chip cloning attacks, and provides insight into the reason that the proposed method is superior to physically unclonable functions (PUFs). In the past decade, PUFs have been evolving as one of the best types of hardware security. However, the development of the PUFs has been somewhat limited by its implementation cost, its temperature variation effect, its electromagnetic interference effect, the amount of entropy in it, etc. Therefore, it is imperative to discover, through promising mathematical methods and physical modules, some novel mechanisms to overcome the aforementioned weaknesses of the PUFs. Motivated by this need, in this paper, we propose applying the FHNNs to defend against chip cloning attacks. At first, we implement the arbitrary-order fractor of a FHNN. Secondly, we describe the implementation cost of the FHNNs. Thirdly, we propose the achievement of the constant-order performance of a FHNN when ambient temperature varies. Fourthly, we analyze the electrical performance stability of the FHNNs under electromagnetic disturbance conditions. Fifthly, we study the amount of entropy of the FHNNs. Lastly, we perform experiments to analyze the pass-band width of the fractor of an arbitrary-order FHNN and the defense against chip cloning attacks capability of the FHNNs. In particular, the capabilities of defense against chip cloning attacks, anti-electromagnetic interference, and anti-temperature variation of a FHNN are illustrated experimentally in detail. Some significant advantages of the FHNNs are that their implementation cost is considerably lower than that of the PUFs, their electrical performance is much more stable than that of the PUFs under different temperature conditions, their electrical performance stability of the FHNNs under electromagnetic disturbance conditions is much more robust than that of the PUFs, and their amount of entropy is significantly higher than that of the PUFs with the same rank circuit scale.

Monitoring the use of anatomical teaching material using a low-cost radio frequency identification system: A comprehensive assessment.

The correct tracking and monitoring of anatomical specimens is not only imperative in any modern body donation programs but also in any universities for which teaching the next generation of health care professionals is the primary mission. This has long been an arduous process for anatomy institutions across the world, and the recent focus of new curricula on self-directed learning adds new stress on specimens which are used by students. The radio frequency identification (RFID) technology has been proposed as a very effective tracking system in healthcare considering that it enables automatic identification and data capture of multiple items at once. In this study, the feasibility of a low-cost RFID inventory system is assessed, from its design to the performance of commercially available RFID tags in a gross anatomy laboratory. The results show that ultrahigh frequency-based RFID tags successfully performed when attached to a collection of 112 plastinated and 280 wet dissected specimens. Comparison analysis of different tags reveals, however, that careful selection of RFID tags needs to be considered when wet specimens need to be tracked as preservation fluids can absorb radio waves energy. This study demonstrates that it is economically feasible to incorporate RFID technology to closely monitor the use of anatomical teaching specimens. The described RFID inventory system was not only able to preserve the integrity of the specimens being used by limiting handling and therefore human error but was also able to identify missing or misplaced specimens and to update their status.

A simple and effective method for building inexpensive infrared equipment used to monitor animal locomotion.

BACKGROUND: Infrared (IR) technology is a flexible and effective way of measuring animal locomotion. However, the cost of most commercial IR equipment can limit their availability. We have designed an inexpensive and effective replacement for commercial IR sensors that can be attached to enclosures to monitor animal locomotion. NEW METHOD: IR components were soldered to circuits connected to a single microcontroller. These IR components were housed inexpensively using plastic tubing and cork discs to further focus and extend detection of the IR beam. A standard personal computer recorded data from circuit boards connected to an inexpensive interface. This system may be used in a range of lighting conditions without requiring readjustment or recalibration. RESULTS: Validation of our equipment design was done with male Sprague Dawley rats treated with reserpine 22h prior to administration of saline or l-DOPA (125mg/kg). Data was collected in eight different measures: horizontal activity, immobile time, elevated activity, centre elevated activity, elevation time, elevation bout, and repeated and non-repeated movement while elevated. l-DOPA increased horizontal movement and all elevated activity excepting elevated movement and centre elevated movement, demonstrating selective drug effects. COMPARISON WITH EXISTING METHODS: The total cost of our complete IR system (US$517.45) was substantially less than the least expensive quote (US$19,666.90) obtained for a commercial IR system. CONCLUSIONS: We have successfully designed and constructed a flexible and inexpensive IR system to monitor at least eight measures of rodent locomotion at a significantly lesser cost than quoted by commercial suppliers.

A heuristic placement selection of live virtual machine migration for energy-saving in cloud computing environment.

The field of live VM (virtual machine) migration has been a hotspot problem in green cloud computing. Live VM migration problem is divided into two research aspects: live VM migration mechanism and live VM migration policy. In the meanwhile, with the development of energy-aware computing, we have focused on the VM placement selection of live migration, namely live VM migration policy for energy saving. In this paper, a novel heuristic approach PS-ES is presented. Its main idea includes two parts. One is that it combines the PSO (particle swarm optimization) idea with the SA (simulated annealing) idea to achieve an improved PSO-based approach with the better global search's ability. The other one is that it uses the Probability Theory and Mathematical Statistics and once again utilizes the SA idea to deal with the data obtained from the improved PSO-based process to get the final solution. And thus the whole approach achieves a long-term optimization for energy saving as it has considered not only the optimization of the current problem scenario but also that of the future problem. The experimental results demonstrate that PS-ES evidently reduces the total incremental energy consumption and better protects the performance of VM running and migrating compared with randomly migrating and optimally migrating. As a result, the proposed PS-ES approach has capabilities to make the result of live VM migration events more high-effective and valuable.

Costs of multidisciplinary parenteral nutrition care provided at a distance via mobile tablets.

BACKGROUND: Determining the costs of healthcare delivery is a key step for providing efficient nutrition-based care. This analysis tabulates the costs of delivering home parenteral nutrition (HPN) interventions and clinical assessments through encrypted mobile technologies to increase patients' access to healthcare providers, reduce their travel expenses, and allow early detection of infection and other complications. METHODS: A traditional cost-accounting method was used to tabulate all expenses related to mobile distance HPN clinic appointments, including (1) personnel time of multidisciplinary healthcare professionals, (2) supply of HPN intervention materials, and (3) equipment, connection, and delivery expenses. RESULTS: A total of 20 mobile distance clinic appointments were conducted for an average of 56 minutes each with 45 patients who required HPN infusion care. The initial setup costs included mobile tablet devices, 4G data plans, and personnel's time as well as intervention materials. The initial costs were on average $916.64 per patient, while the follow-up clinic appointments required $361.63 a month, with these costs continuing to decline as the equipment was used by multiple patients more frequently over time. Patients reported high levels of satisfaction with cost savings in travel expenses and rated the quality of care comparable to traditional in-person examinations. CONCLUSION: This study provides important aspects of the initial cost tabulation for visual assessment for HPN appointments. These findings will be used to generate a decision algorithm for scheduling mobile distance clinic appointments intermittent with in-person visits to determine how to lower costs of nutrition assessments. To maximize the cost benefits, clinical trials must continue to collect clinical outcomes.

Limits on fundamental limits to computation.

An indispensable part of our personal and working lives, computing has also become essential to industries and governments. Steady improvements in computer hardware have been supported by periodic doubling of transistor densities in integrated circuits over the past fifty years. Such Moore scaling now requires ever-increasing efforts, stimulating research in alternative hardware and stirring controversy. To help evaluate emerging technologies and increase our understanding of integrated-circuit scaling, here I review fundamental limits to computation in the areas of manufacturing, energy, physical space, design and verification effort, and algorithms. To outline what is achievable in principle and in practice, I recapitulate how some limits were circumvented, and compare loose and tight limits. Engineering difficulties encountered by emerging technologies may indicate yet unknown limits.

Purchasing technology: a few things to consider.

Standard-form software and hardware contracts need critical review to ensure that the product meets the needs of the practice.

Application of audio computer-assisted self-interviews to collect self-reported health data: an overview.

For assessment of sensitive health behaviors (e.g., sexual behavior, violent behaviors, substance use), research is typically limited to an examination of self-reports of past behavior. Audio computer-assisted self-interviews (ACASI) may enhance the validity of self-report data in research and clinical settings by reducing measurement bias. This paper provides an introduction to ACASI for collection of self-reported health data. The potential benefits and cost-effectiveness of ACASI use in research and clinical settings are reviewed. We then review the theoretical underpinnings that may underlie differential reporting of health behaviors between assessment modalities. Next, we highlight studies that have investigated differences in self-reported health behaviors between assessment modalities. Lastly, we summarize potential applications of ACASI assessments within clinical settings.

4273π: bioinformatics education on low cost ARM hardware.

BACKGROUND: Teaching bioinformatics at universities is complicated by typical computer classroom settings. As well as running software locally and online, students should gain experience of systems administration. For a future career in biology or bioinformatics, the installation of software is a useful skill. We propose that this may be taught by running the course on GNU/Linux running on inexpensive Raspberry Pi computer hardware, for which students may be granted full administrator access. RESULTS: We release 4273π, an operating system image for Raspberry Pi based on Raspbian Linux. This includes minor customisations for classroom use and includes our Open Access bioinformatics course, 4273π Bioinformatics for Biologists. This is based on the final-year undergraduate module BL4273, run on Raspberry Pi computers at the University of St Andrews, Semester 1, academic year 2012-2013. CONCLUSIONS: 4273π is a means to teach bioinformatics, including systems administration tasks, to undergraduates at low cost.