Miracle-dz/UniFAR-FTUs huggingface dataset:
Hemostatic Spray; A Rescue to Severe Post-pancreaticoduodenectomy Hemorrhage - A Novel Technique to use

Pancreaticoduodenectomy (Whipple’s Procedure) being an immensely intricate procedure, is accompanied by morbidities out of which some can pose a considerable threat to human life. A morbidity worth discussing is post-pancreaticoduodenectomy hemorrhage. Being classified as early or late and mild, moderate or severe, PPH can be life threatening leading to hypovolemic shock and death if untreated. We describe a case of a 52 year old South-Asian female, who underwent pancreaticoduodenectomy with pancreatico-gastrostomy for a non metastatic periampullary tumor, experienced an intraluminal post pancreaticoduodenectomy hemorrhage on fourth postoperative day leading to hypovolemic shock, with no evidence of extraluminal bleed. Urgent upper gastrointestinal endoscopy showed ulcerated pancreaticogastric anastomosis and marginal ulcer at the site of anastomosis of small intestine and stomach. Hemostatic spray was applied and hemostasis was secured. After meticulous literature review, it became evident that hemostatic spray has been used for a variety of cases of upper gastrointestinal bleeding but has never been utilized for the postpancreaticoduodenectomy hemorrhage as delineated in the concise discussion of the article.
Topology selection of switch‐type phase shifter units for wideband Ka‐band 5‐bit phase shifter with low RMS errors

This article discusses different topologies of switch‐type phase shifter units and the effects of such units on phase accuracy and loss variation for wideband operation. It is observed that the optimal selection of topology depends on the value of phase shift. This article discusses a Ka‐band 5‐bit switch‐type phase shifter MMIC with T‐type high‐pass topology, T‐type low‐pass topology, and high‐pass/low‐pass switched‐path‐type topology. This circuit was implemented through a 65‐nm CMOS process. This phase shifter has low RMS phase error of 2.4°–6.2° and low RMS amplitude error of 0.48–0.66 dB over the 32–41 GHz.
Vehicle design for elderly Chinese drivers: a culture-specific travel needs model

This research explores the current and future travel needs of older Chinese drivers. A methodological triangulation consisting of interviews, logbook and co-discovery was used to collect multiple forms of data and explore the research question. This study developed an initial concept model to identify older drivers’ travel needs. Vehicle meaning reflects users’ needs and gives a tangible expression about users’ experiences. The model demonstrates that the Chinese culture acts as a dynamic link among travel need factors. It is envisaged that the proposed model can play an important role in the design process to help designers to better understand the relationship between culture and design. The application of the model will focuses on concept vehicle design as a representative example.
Experience design and artefacts after the fact

In this paper the authors discuss a new interdisciplinary project which integrates product design innovations from IDEO, in particular experience prototyping, and touches upon aspects of Eddie Obeng's design paradigms such as fog and quest. The project, ‘Artefact after the Fact’ weaves experience design directly into a New York study trip, which is then further developed by interdisciplinary student teams within a neutral studio space. The authors describe this process, involving 120 students from 5 design disciplines with a staff team with expertise ranging from Product to Interiors, and with contextual input from the School of Architecture, Design History Theory & Practice. Mediating artefacts (convenient shorthand for ‘product’ objects, as experiential metaphors for process and product) are explored, which may be relevant to engineering students, or other ‘non’ product disciplines. As educators, there is much we can learn from industry, but much we need to be wary of within design education; modular inflexibility, reduced teaching time, and a growing obsession with grades collectively threaten the kind of ‘connected’, ‘holistic’ and experimental ‘experiential learning’ which institutions exist to foster, industry demands, and learners need. Interdisciplinary learning echoes those types of product innovations and collaborative and critical team working valued in the creative industries, and in this context, is a means of exploring the changing nature of product design (the experience economy rather than just the object economy). Interdisciplinarity lets us tentatively cross, and challenge, imaginary disciplinary boundaries, and in sharing our imaginations we transform our horizons.
Open Loop Fiber Optic Gyroscope : A Technical Note

This technical note describes the design and fabrication of a prototype open-loop interferometric fiber-optic gyroscope (IFOG). The gyro transfer function is transposed from that of a raised-cosine to a sine function using AC modulation, giving maximum sensitivity at rest. Among various signal processing methods, lock-in principle is used to detect the Sagnac phase shift due to rotation. Initial work is done with bulk-optic components. Finally, all-fiber gyroscope is built using laser diode (1300 nm), PINFET detector, fiber couplers and PZT phase modulator. An effort is made to develop compact IFOG with sensing coil diameter of 10 cm and signal processing card of size 10 x 6.5 sq cm. The present set-up is able to detect the direction of rotation at a rotation rate of 5 x 10/sup -4/ radian per second. Presently, the performance of the set-up is limited by the difficulty in achieving complete reciprocity.
Damping of subsynchronous resonance using self‐tuning PID and wavelet neural network

Purpose – Subsynchronous resonance (SSR) problem is often created in generator rotor systems with long shafts (non‐rigid shaft) and large inertias constituting a weakly damped mechanical system. When the electrical network resonance frequency (in which the transmission line is compensated by series capacitors) approaches shaft natural frequencies, the electrical system increases torsional torques amplitude on the shaft. The purpose of this paper is to propose a self‐tuning proportional, integral, derivative (PID) controller to damp the SSR oscillations in the power system with series compensated transmission lines.Design/methodology/approach – To accommodate the PID controller in all power system loading conditions, the gradient descent (GD) method and a wavelet neural network (WNN) are used to update the PID gains on‐line. All parameters of the WNN are trained by the gradient descent method using adaptive learning rates (ALRs). The ALRs are derived from discrete Lyapunov stability theorem, which are appl.
Temporal distribution of rainfall in the Far West region of Santa Catarina, Brazil

In the definition of design rainfall, one must determine the temporal distribution of rainfall. In Brazil there are few studies on the temporal distribution of heavy rainfall. This work aimed to characterize the temporal distribution of intense rainfall for the Far West region of Santa Catarina. Data from four rainfall stations were used. The rainfall was individualized and classified into four types according to the quartile with the highest intensity. With the total of 3212 rainfall events it was observed that the most frequent rains are of type I (37.6%) followed by types II (32.3%). The time variation curves of the four rainfall stations show differences of less than 5% in relation to the regional average. No significant seasonal differences were observed, however significant differences were found with respect to rainfall duration. The values of the temporal distribution with a probability of 50% were necessary for the rains of the four quartiles, as well as for the duration ranges, allowing the designer to adopt the most appropriate values according to the characteristics of the project.
Monitoring of physiological sounds with wearable device based on piezoelectric MEMS acoustic sensor

Physiological mechano-acoustic signals play a pivotal role in medical diagnosis and fitness monitoring. Mechanical waves generated by natural physiological activities such as myocardial contraction, and vocal fold vibration, propagate through the tissues and fluids of the body and reveal characteristic signals of these events. Conventional methods such as stethoscope and electrocardiography (ECG) are not suitable for wearable mode and continuous monitoring. In this paper, we propose a wearable physiological sounds sensing device to monitor heart sound and detect speech and voice with high accuracy. The device consists of a MEMS (microelectromechanical systems) acoustic sensor and a low-noise amplification circuit, and both of them are packaged by silicone polymers with an air cavity to achieve conformal contact with human skin. The proposed device has advantages of light weight, sweatproof capability, resistant to noise and good stability. The wearable device has great potential in clinical diagnosis, healthcare, human-machine interaction and many other applications.
Implementation of a ROV navigation system using acoustic/Doppler sensors and Kalman filtering

Hydro-Que/spl acute/bec developed a new underwater ROV which is use to inspect its dams. Since 2000, the ROV has allowed Hydro-Que/spl acute/bec to save 5M$ in inspection costs. This paper presents the study of a Kalman filter and its performances. Kalman filtering is used to merge data from fiber gyros, DVL, accelerometers and global positioning system in order to have a better estimation of the position and orientation of the ROV. In real systems, sensors do not send data at the same rate and data acquisition is often intermittent. One innovative aspect of this approach is that it accepts asynchronous information and delay from the sensors. Experimental results in a real environment are presented.
Future of Grid-Tied PV Business Models: What Will Happen When PV Penetration on the Distribution Grid is Significant? Preprint

Eventually, distributed PV will become a more significant part of the generation mix. When this happens, it is expected that utilities will have to take on a more active role in the placement, operation and control of these systems. There are operational complexities and concerns of revenue erosion that will drive utilities into greater involvement of distributed PV and will create new business models. This report summarizes work done by Navigant Consulting Inc. for the National Renewable Energy Laboratory as part of the Department of Energy's work on Renewable System Integration. The objective of the work was to better understand the structure of these future business models and the research, development and demonstration (RD&D) required to support their deployment. This report describes potential future PV business models in terms of combinations of utility ownership and control of the PV assets, and the various relationships between end-users and third-party owners.
Congenital Diaphragmatic Hernia: An Update on Management Strategies and Outcomes

Ourania Kaltsogianni1, Theodore Dassios1,2, Anne Greenough2,3,4* 1Neonatal Intensive Care Centre, King’s College Hospital NHS Foundation Trust, London, UK 2Department of Women and Children’s Health, School of Life Course Sciences, Faculty of Life Sciences and Medicine, King’s College London, London, United Kingdom 3Asthma UK Centre for Allergic Mechanisms in Asthma, King’s College London, London, United Kingdom 4NIHR Biomedical Centre at Guy’s and St Thomas NHS Foundation Trust and King’s College London, London, United Kingdom
Rapid ecological and evolutionary divergence during a poleward range expansion

Anthropogenic climate change is rapidly altering ecosystems, driving range shifts, range contractions, dwindling population sizes and local extinctions in many species. Some species, however, are expanding their ranges and seem to benefit from warming temperatures. This is the case for the wasp spider, Argiope bruennichi, which has undergone a range expansion from its historic range in the Mediterranean (“core”), now reaching as far as the Baltic states and Scandinavia (“edge”). The rate of this range expansion cannot be attributed to climate change alone, and it has been hypothesized that adaptive introgression lent the genetic variation upon which selection could act, enabling the rapid range expansion. In the present study, we first quantify the degree of local adaptation and phenotypic plasticity in cold tolerance in edge relative to core populations, and secondly investigate genomic and phenotypic turnover across the proposed introgression zone. With a reciprocal transplant common garden experiment, we provide strong support for the hypothesis that edge populations are locally adapted to colder winter conditions. We also find evidence of seasonal plasticity in the core populations, while edge populations have lost this plasticity. Our genome-wide analysis, using a combination of FST outlier and genetic-environment association tests, supports the hypothesis that adaptive introgression played a role in environmental adaptation.
Halogen-Furan-2(5H)-One Derivatives Decrease Biofilm Production in Pseudomonas aeruginosa.

Clinical evidence has shown that bacterial infections are more difficult to eradicate when form-ing a biofilm aggregate than when are produced by bacteria in planktonic form. Therefore, com-pounds that inhibit biofilm formation could be used against severe infections. It has been re-ported that bromo 2-(5H) furanones inhibited biofilm formation by their anti-quorum sensing properties. To determine if the 2-(5H) furanone moiety is essential to induce inhibition of biofilm formation, we evaluated ten halogen 2-(5H) furanones derivates previously synthesized. Besides evaluating the inhibition of biofilm formation, we assessed pyocyanin production, swarming motility, and transcription of essential QS genes: rsaL, rhlA, pqsA and phz1 genes. Our results showed that although three bromo-furan-2(5H)-one-type derivatives (A1-A3) and two bromo-4-(phenylamino)-furan-2(5H)-one-type compounds (B2 and B6) inhibited the biofilm formation in both P. aeruginosa PA14 (reference) and PA64 (drug-resistant) strains only the furanones A1-A3 were efficient to inhibit QSS.
Neural control for a semi-active suspension of a half-vehicle model

This paper presents a reinforcement learning algorithm using neural networks which allows a vehicle with semi-active suspension to improve continuously not only the ride comfort but also the tyre/ground contact. The proposed controller learns online, so that the system can adapt to changes produced in the environment. The neural controller has been studied using a half-vehicle model. Different road profiles have been tested to prove the robustness and reliability of the proposed semi-active suspension system. Simulation results show the effectiveness of our algorithm.
Analog Circuit Intelligent Fault Diagnosis Based on PCA and OAOSVM

Fault diagnosis of analog circuits is essential for guaranteeing the reliability and maintainability of electronic systems. Analog circuit fault diagnosis can be regarded as a pattern recognition issue and addressed by one-against-one SVM. In order to obtain a good SVM-based fault classifier, the principal component analysis technique is adopted to capture the major fault features. The extracted fault features are then used as the inputs of SVM to solve fault diagnosis problem. The effectiveness of the proposed method is verified by the experimental results.
The Distributed Engram

Neural connectionism is a common theoretical abstraction of biological neural networks (1–3) and a basis for common artificial neural networks (4). Yet, it is clear that connectionism abstracts out much of the biological phenomena significant and necessary for many cognitive-driven behaviors, in particular intra-neuronal and inter-neuronal biochemical processes (5–8). This paper presents a model which adds an abstraction of these processes to a standard connectionism-based model. Specifically, a sub-system determines the synaptic weights. The resulting network has plastic synapses during non-learning-related behavior, in sharp contrast with most common models in which synapses are fixed outside of a learning-phase. Some synapses introduce plasticity that is causally related with behavior, while in others the plasticity randomly fluctuates, in correspondence with recent data (9,10). In this model the memory engram is distributed over the biochemical system, in addition to the synapses. The model yields better performance in memory-related tasks compared to a standard recurrent neural network trained with backpropagation.
Improving Disaster Readiness and the Response of Nurses in Saudi Arabia

Introduction Nurses in Saudi Arabia face several challenges in all phases of disaster nursing, such as the infancy of the specialty and a lack of education, preparedness, research, and expertise in both the clinical field and in academics. Overcoming these challenges will help both nurses and the development of the specialty itself in aspects such as policies and procedures, education, and research. Thus, the aim of this study was to explore strategies for improving disaster nursing in Saudi Arabia. Methods A cross-sectional study with a principal component analysis (PCA) was conducted to identify the factors affecting disaster nursing in Saudi Arabia. The sample of the study was Saudi Arabian nurses, as they are first-line responders in disasters and pandemics. Results From 800 distributed questionnaires, 569 completed questionnaires were returned, for a response rate of 71%. The findings of the PCA revealed two components that can be extracted from the data. The first is preparedness, which involves 13 items related to the actions that must be taken before a disaster occurs, with a loading range of 0.82 to 0.70. The second factor is the action taken after a disaster occurs, and there are seven items with a loading range of 0.83 to 0.73. Conclusion For improved disaster nursing, it is essential to develop evaluation tools, create specific nursing legislation for disaster situations, provide personal protective equipment to nurses to minimize the risk of infection, and encourage nurses by appreciating their efforts to minimize their stress level during a disaster. It is also important to make sufficient supplies and equipment available to nurses during a disaster and provide them with psychological support while acknowledging the importance of contact with their families and friends.
Seismic response of linear accelerators

This paper is divided into two parts. The first part presents recent measurements of ground motion in the LHC tunnel at CERN. From these measurements, an update of the ground motion model currently used in accelerator simulations is presented. It contains new features like a model of the lateral motion and the technical noise. In the second part, it is shown how this model can be used to evaluate the seismic response of a linear accelerator in the frequency domain. Then, the approach is validated numerically on a regular lattice, taking the dynamic behavior of the machine alignment stage and the mechanical stabilization of the quadrupoles into account.
Dual‐band bandpass filter using multimode square ring loaded resonators

A novel microstrip dual‐band bandpass filter (BPF) with multimode square ring loaded resonators (SRLRs) is proposed in this article. The improved SRLR is loaded by a meander ring stub and a stepped‐impedance resonator for compactness to realize the dual‐band performances. Even‐ and odd‐mode method is applied to explain mode splitting characteristics. Moreover, another mode in the second passband is generated by adding a half‐wavelength U‐shaped resonator. This resonator also introduces cross‐coupling between feed lines so that an additional transmission zero is produced, which enhance the selectivity. The dual‐band BPF operating at 2.4 and 3.5 GHz for WLAN and WIMAX applications is designed and fabricated. Measurement results agree well with the simulated results. © 2013 Wiley Periodicals, Inc. Microwave Opt Technol Lett 55:2692–2695, 2013
Essentials of Strength Training and Conditioning

Chapter 1. Structure and Function of the Muscular, Neuromuscular, Cardiovascular, and Respiratory Systems Chapter 2. Bioenergetics of Exercise and Training Chapter 3. Endocrine Responses to Resistance Exercise Chapter 4. Biomechanics of Resistance Exercise Chapter 6. Adaptations to Aerobic Training Programs Chapter 9. Performance-Enhancing Substances Chapter 10. Nutritional Factors in Health and Performance Chapter 11. Principles of Test Selection and Administration Chapter 12. Administration, Scoring, and Interpretation of Selected Tests.
Refined k-ϵ Turbulence Model Q3D-Predictions in Compressor Cascades at Design and Off-Design

The performance of two refinements (non-equilibrium and non-linear) to the Low-Reynolds-Number Launder and Sharma (1974) k-e–turbulence model in the framework of a turbomachinery Navier-Stokes code is evaluated for subsonic and transonic compressor cascades at design and off-design conditions. The non-equilibrium treatment originally developed by Rodi (1972) for extending the standard high Re-number k-e–model to account for the imbalance of production and dissipation in far-field wakes has been applied, in combination with the well-established Kato and Launder (1993) modification, to the entire flow field by extending the scaling of the eddy viscosity to the production term of turbulent kinetic energy in its transport equation. Accounting for non-equilibrium (spectral) effects such as non-local strain history in adverse pressure gradients has been found to be essential a) in predicting early separation on the DCA blade of the subsonic compressor cascade at design conditions and b) in obtaining a more accurate position of a swallowed shock in the transonic compressor cascade at off-design. The former improvement has resulted in a better prediction of the flow exit angle and the latter is essential in capturing the physics of the shock/boundary-layer interaction but further refinements are required to improve the overall flow field and hence loss predictions. The potential of the cubic two-equation non-linear stress-strain model extension developed by Suga (1995) has been investigated. This is shown to provide a better baseline for non-equilibrium modeling than the Kato and Launder modified k-e–model, since it accounts additionally for the misalignment of turbulence and strain tensor principal axes, streamline curvature and partially for non-equilibrium effects at very little additional computational cost. The non-linear model is found to demonstrate the correct trends, though it requires recalibration over a wider range of turbomachinery flows.Copyright © 1998 by ASME
Social media adoption in disaster restoration industry

Purpose – This research aims to investigate the current patterns of social media adoption for marketing in the restoration industry and analyse the strategies used by those restoration companies that have adopted social media. Social media marketing has been proven as a cost-effective way to engage new customers, and especially useful for small businesses. The disaster “restoration industry” is the special sector of general contracting that serves both commercial and residential property owners in terms of restoring their disaster-affected property. The restoration industry is characterised by small-business domination and constant need of new customers to survive in the market. Many restoration contractors have started adopting social media for marketing. However, goals and social media marketing strategies have not yet been clearly articulated. Design/methodology/approach – Data were collected through a systematic content analysis (CA) of sample restoration companies’ Facebook and Twitter posts over a 3.