Miracle-dz/UniFAR-FTUs huggingface dataset:
Nutritional Care in Iranian Intensive Care Units

Intensive care units (ICUs) provides intensive treatment medicine to avoid complications such as malnutrition, infection and even death. As very little is currently known about the nutritional practices in Iranian ICUs, this study attempted to assess the various aspects of current nutrition support practices in Iranian ICUs. We conducted a cross-sectional study on 150 critically ill patients at 18 ICUs in 12 hospitals located in 2 provinces of Iran from February 2015 to March 2016. Data were collected through interview with supervisors of ICUs, medical record reviews and direct observation of patients during feeding. Our study showed that hospital-prepared enteral tube feeding formulas are the main formulas used in Iranian hospitals. None of the dietitians worked exclusively an ICU and only 30% of patients received diet counselling. Regular monitoring of nutritional status, daily energy and protein intake were not recorded in any of the participating ICUs. Patients were not monitored for anthropometric measurements such as mid-arm circumference (MAC) and electrolyte status. The nasogastric tube was not switched to percutaneous endoscopic gastrostomy or jejunostomy (PEG/PEGJ) in approximately 85% of patients receiving long-term enteral nutrition (EN) support. Our findings demonstrated that the quality of nutritional care was inappropriate in Iranian ICUs and improvement of nutritional care services within Iranian ICUs is necessary.
HABITAT CORRELATES OF THE DEL NORTE SALAMANDER, PLETHODON ELONGATUS (CAUDATA: PLETHODONTIDAE), IN NORTHWESTERN CALIFORNIA

A stratified systematic sampling design was used to quantify the habitat relationships of the Del Norte salamander (Plethodon elongatus) in northwestern California. We sampled 57 sites, each within at least 5-7 ha of relatively homogeneous forest or post-forest habitat, where we measured 83 characteristics of the environment. Salamander sampling consisted of area-constrained sampling of 7 x 7 m plots with at least 25% rock cover at each site. A subset of 43 variables was used in a hierarchical analysis of habitat associations using discriminant analysis and regression. Variables included attributes at the landscape, macrohabitat, and microhabitat scales. Results indicate a significant association of the Del Norte salamander with older forests with closed, multi-storied canopy (composed of both conifers and hard- woods), with a cool, moist microclimate, and rocky substrates dominated by cobble-sized pieces. These habitat attributes appear optimal for survival and reproductive success throughout most of the range of this species. The Del Norte salamander may require ecological conditions found primarily in late seral stage forests.
Clustering lightened deep representation for large scale face identification

On specific face dataset, such as the LFW benchmark, recent face recognition methods have achieved near perfect accuracy. However, the face identification is still a challenging task for a super large scale dataset, where a real application is urgently needed, thus Microsoft challenge of recognizing one million celebrities (MS-Celeb-1M) has attracted an increasing attention. In this paper, we propose a three-step strategy to address this problem. Firstly, based on a corss-domain face dataset, i.e., the CASIA-Web dataset, an efficient and deliberate face representation model with a Max-Feature-Map (MFM) activation function is trained to map raw images into the feature space quickly. Secondly, face representations with the same MID in MS-Celeb-1M are clustered into three subsets: a pure set, a hard set and a mess set. The cluster centers are used as gallery representations of the corresponding MID and this scheme reduces the impact of noisy images and the number of comparisons during the face matching. Finally, locality sensitive hashing (LSH) algorithm is applied to speed up the search of the nearest centroid. Experimental results show that our face CNN model can extract stable and discriminative face representations, and the proposed three-step strategy achieves a promising performance without any manual selection for the MS-Celeb-1M dataset. Furthermore, we find that via clustering a relatively pure set is kept by many MIDs in MS-Celeb-1M, which indicats this scheme is effective for cleaning a huge but mess dataset.
OSEK Based Embedded Networked Controller Handling Communication Delays

The paper presents a new embedded networked controller designed for vehicle driveline oscillations damping. To benefit of increased safety and predictability, the controller's algorithm is developed under OSEK/VDX real-time operating system. The implementation is tailored to fit available embedded architecture's resources. Main challenge refers to the configuration of accepted delays, taking into account the required memory consumption and execution times. The controller supports asynchronous exchanges of data, being able to handle certain communication delays. The discrete-time model of the closed-loop controller area network (CAN) based system is obtained by means of polytopic approximation techniques. The suggested embedded controller is designed according to one step ahead predictive control algorithm with flexible control Lyapunov function, assuming that the model admits polytopic uncertainty and hard constraints. If the Lyapunov function is appropriately chosen, the command computation involves solving a single linear program at each sampling period. The proposed approach is experimentally verified using an industrial test-bench setup consisting of a Freescale based electronic control unit (which implements the controller) linked via a CAN bus with a dSPACE MicroAutoBox plant simulator.
Compact plasma source for removal of hydrocarbons for surface analysis

A low–energy, constricted‐anode Anders‐type plasma source was built and tested for the chemical removal of adventitious carbon on surfaces. Oxygen plasma, generated in the source, extends to the sample surface through an aperture in the anode. This plasma reacts with surface hydrocarbons and removes them in less than a minute without influencing the intrinsic surface stoichiometry of nonoxidizing samples such as minerals, glasses, and metal oxides. Adventitious carbon removal is critical for accurate binding energy determination and quantitative measurements in XPS and AES, particularly in multicomponent materials. We measure the plasma to be composed primarily of O+ and O2+, with minor H+, H2+, and O++ components. Ion energy distributions were measured for O+ and O++ and show all emitted ions have energies less than 50 eV, confirming chemical desorption as the primary removal mechanism. The plasma source, easily built ‘in house’, is compact and can be mounted on a 2.75‐in flange for in situ specimen cleaning prior to surface analysis. Copyright © 2009 John Wiley & Sons, Ltd.
A literature review on recent multi-object tracking methods based on HMM and particle filter

Tracking of the object movement in the input frame of video is an important process for various real time application such as video-conferencing, human robotics or human computer interface or in the analysis of social interaction. The important step is to determine the path of the object. The various techniques to track the multiple moving objects in a input frame of video have been proposed. This paper gives a brief analysis of recent multi-object trackers algorithms based on markov model and particle filtering
Recycling Test Cases to Detect Security Vulnerabilities

The design of new protocols and features, e.g., in the context of organizations such as the IETF, produces a flow of novel standards and amendments that lead to ever changing implementations. These implementations can be difficult to test for security vulnerabilities because existing tools often lag behind. In the paper, we propose a new methodology that addresses this issue by recycling test cases from several sources, even if aimed at distinct protocols. It resorts to protocol reverse engineering techniques to build parsers that are capable of extracting the relevant payloads from the test cases, and then applies them to new test cases tailored to the particular features that need to be checked. An evaluation with 10 commercial and open-source testing tools and a large set of FTP vulnerabilities shows that our approach is able to get better or equal vulnerability coverage than the original tools. In a more detailed experiment with two fuzzers, our solution showed an improvement of 19% on vulnerability coverage when compared with the two combined fuzzers, being capable of finding 25 additional vulnerabilities.
High-level Petri Nets for a Model of Organizational Decision Making

This paper introduces a new direction in formalizing sociological models. Sociological theories are a field of application for computer science, hence sociologists describe a theory in informal ways. These theories are transformed into computational models which can be studied and investigated with formal methods. We have chosen to formalize a common model of sociological theory, the Garbage Can Model of Organizational Choice. This model refers to organizations as organized anarchies. Bounded rationality leads to ambiguous decision situations. Colored Petri nets offer formal semantics, graphical representation, means to model concurrency, and immediate executability and, thus, seem to be well suited to present complex sociological dependencies. Our approach uses a special formalism of high-level Petri nets, called Reference nets, which is applicable to present the individual parts of the model. By the executable Petri net model of the Garbage Can theory, central notions like concurrency, conflict, and confusion – known in the Petri net theory – could be directly expressed and presented to sociologists and lead to new insights to some underlying concepts of this sociological theory.
Simulation-based Planning For Multi-agent Environments

One of the key issues in reasoning with multiple interacting intelligent agents is how to model and code the decision making process of the agents. In Artificial Intelligence (AI), the major focus has been on modeling individual intelligence and a common ap proach has been to use operator or rule-based models to represent the decision making intelligence of an agent. If the purpose of the simulation is to precisely emulate a particular agent’s intelligence, then such rule-based models may often be most appropriate. However, when the goal is to win the engagement in the battlefield, where the overall outcome may depend on individual execution of each task, the level of detail must be extended to the level of simulating individual task execution. In these cases, we have created a methodology, Simulation-Based Planning (SBP), that embeds one simulation inside another. The embedded simulation simulates the actions of agents before committing to a plan so that it may evaluate the desiredness of the actions. Plan alternatives are generated based on discrete paths through spatial regions of a domain, while specific optimal plans are generated through the use of experimental design and simulation. We have found that, through simulation-based planning, near-optimal plans can be selected by using simulation, in addition to using simulation once a plan has been adopted.
Wireless power transfer to underground sensors using resonant magnetic induction

Wireless communication systems play an increasingly integral role in society. Currently underground sensor networks are used in many applications for security purposes, environmental applications, infrastructure maintenance etc. The major problem, associated with sensor networks, is in providing the power supply to enable the networks to work for long durations. This paper presents a novel technique to wirelessly, supply power to the underground sensor networks using the magnetic induction principle. In addition, using the resonating principle further ensures maximum efficiency of this proposed system. Experimental results to prove the feasibility of this novel technique for supplying wireless power are presented.
Beliefs About Learning: Critical for Success in Online Courses

Adaptive learning beliefs are likely critical to achievement in online education systems. Successfully navigating online education systems requires users to exercise high levels of selfregulated learning, calibrating their attention and motivational resources and actively adjusting strategies for different online contexts. However, little research has examined this question. Online, do learning beliefs still predict meaningful differences in course experience?
New host record of five Flavobacterium species associated with tropical fresh water farmed fishes from North India

Abstract Yellow pigmented, filamentous, Gram-negative bacteria belonging to genus Flavobacterium are commonly associated with infections in stressed fish. In this study, inter-species diversity of Flavobacterium was studied in apparently healthy freshwater farmed fishes. For this, ninety one yellow pigmented bacteria were isolated from skin and gill samples (n = 38) of three farmed fish species i.e. Labeo rohita, Catla catla and Cyprinus carpio. Among them, only twelve bacterial isolates (13.18%) were identified as Flavobacterium spp. on the basis of morphological, biochemical tests, partial 16S rDNA gene sequencing and phylogenetic analysis. On the basis of 16S rDNA gene sequencing, all the 12 isolates were 97.6-100% similar to six different formally described species of genus Flavobacterium. The 16S rDNA based phylogenetic analysis grouped these strains into six different clades. Of the 12 isolates, six strains (Fl9S1-6) grouped with F. suncheonense, two strains (Fl6I2, Fl6I3) with F. indicum and the rest four strains (Fl1A1, Fl2G1, Fl3H1 and Fl10T1) clustered with F. aquaticum, F. granuli, F. hercynium and F. terrae, respectively. None of these species except, F. hercynium were previously reported from fish. All the isolated Flavobacterium species possessed the ability of adhesion and biofilm formation to colonize the external surface of healthy fish. The present study is the first record of tropical freshwater farmed fishes as hosts to five environmentally associated species of the Flavobacterium.
Examination Certificate Based on Two-Dimensional Bar Code Technology

Types and characteristics of information on examination certificates are analyzed in this paper and then the two-dimensional bar code encoding method based on GB18030 character set of information in text kind, and the method for image kind on the basis of compression using zerotree of wavelet transformation is put forward. A flowgraph for the whole procedure is given and an example of examination certificate with PDF417 bar code is shown in this paper to illustrate the whole encoding result.
Qualitative analysis of POMDPs with temporal logic specifications for robotics applications

We consider partially observable Markov decision processes (POMDPs), that are a standard framework for robotics applications to model uncertainties present in the real world, with temporal logic specifications. All temporal logic specifications in linear-time temporal logic (LTL) can be expressed as parity objectives. We study the qualitative analysis problem for POMDPs with parity objectives that asks whether there is a controller (policy) to ensure that the objective holds with probability 1 (almost-surely). While the qualitative analysis of POMDPs with parity objectives is undecidable, recent results show that when restricted to finite-memory policies the problem is EXPTIME-complete. While the problem is intractable in theory, we present a practical approach to solve the qualitative analysis problem. We designed several heuristics to deal with the exponential complexity, and have used our implementation on a number of well-known POMDP examples for robotics applications. Our results provide the first practical approach to solve the qualitative analysis of robot motion planning with LTL properties in the presence of uncertainty.
Cross-efficiency Evaluation under the Principle of Rank Priority of DMUs

Cross-efficiency evaluation has been suggested as an alternative method of efficiency evaluation and ranking in Data Envelopment Analysis (DEA) based on peer evaluation logic. A factor that possibly reduces the usefulness of the cross-efficiency evaluation is that cross-efficiency scores may not be unique due to the presence of alternative optima. As a result, it is recommended that secondary goals should be introduced in cross-efficiency evaluation. This paper seeks to improve the secondary goal proposed by Wu et al . (2009) (Determination of cross efficiency under the principle of rank priority in cross evaluation, Expert Systems with Applications, 36, 4826-4829), by introducing a Mixed Integer Linear Problem (MILP) as secondary objective function. Numerical example is provided to illustrate the model.
Can we refactor conditional compilation into aspects?

Systems software uses conditional compilation to manage crosscutting concerns in a very fine-grained and efficient way, but at the expense of tangled and scattered conditional code. Refactoring of conditional compilation into aspects gets rid of these issues, but it is not clear yet for which patterns of conditional compilation aspects make sense and whether or not current aspect technology is able to express these patterns. To investigate these two problems, this paper presents a graphical ``preprocessor blueprint'' model which offers a queryable representation of the syntactical interaction of conditional compilation and the source code. A case study on the Parrot VM shows that preprocessor blueprints are able to express and query for the four commonly known patterns of conditional compilation usage, and that they allow to discover seven additional important patterns. By correlating each pattern's potential for refactoring into advice and each pattern's evolution of the number of occurrences, we show that refactoring into advice in the Parrot VM is a good alternative for three of the eleven patterns, whereas for the other patterns trade-offs have to be considered between robustness and fine-grainedness of the advice.
Alignment between Organization Projects and Strategic Objectives

— For many organizations having strategic objectives defined means to have their business strategy completed. However, the best-laid strategies can be useless without the proper implementation. By aligning an organization’s strategic objectives with its projects, we are able to have a greater understanding of projects and their contribution to achieve strategic objectives. Enterprise Architecture (EA) provides a path between strategy and execution, by addressing stakeholder’s concerns and relating strategic and business concepts. ArchiMate is the standard language for modelling EA and enables enterprise architects to describe, analyze and visualize the relationships among business domains. In order to identify the alignment between an organization’s projects and strategic objectives, we propose a five steps solution: 1) Identify an organization’s strategic objectives, 2) Identify each outcome expected value to the organization, i.e. the importance an achieved target has to the organization, 3) Identify the organization’s projects, 4) Represent projects and their expected value and 5) Identify the alignment. By following the proposed method, organizations are able to identify which projects contribute to the achievement of their strategic objectives. The solution proposal was demonstrated in a government owned company. This master thesis was evaluated through a field study in order to apply the proposed method in practice.
A 5-GHz, 30-dBm, 0.9-dB insertion loss single-pole double-throw T/R switch in 90nm CMOS

A 5 GHz, 30-dBm CMOS T/R switch implemented in 90 nm CMOS is reported. A body isolation technique is employed and optimized for power handling capability. Inductors are employed with the transistor switches for parallel resonance to improve isolation. Thick oxide NMOS transistors are used for the switching transistors and placed inside the inductors to reduce the active chip area to approximately 0.2 mm2. 0.9-dB insertion loss for both TX and RX modes is achieved with a 5-V control voltage.
Optimization of Bloom Filter Parameters for Practical Bloom Filter Based Epidemic Forwarding in DTNs

Epidemic forwarding has been proposed as a forwarding technique to achieve opportunistic communication in Delay Tolerant Networks. Even if this technique is well known and widely referred, one has to first deal with several practical problems before using it. In particular, in order to manage the redundancy and to avoid useless transmissions, it has been proposed to ask nodes to exchange information about the buffer content prior to sending information. While Bloom filter has been proposed to transport the buffer content information, up to our knowledge no real evaluation has been provided to study the tradeoff that exists in practice. In this paper we describe an implementation of an epidemic forwarding scheme using Bloom filters. Then we propose some strategies for Bloom filter management based on windowing and describe implementation tradeoffs. By simulating our proposed strategies in ns-3 both with random waypoint mobility and realistic mobility traces coming from San Francisco taxicabs, we show that our proposed strategies alleviate the challenge of using epidemic forwarding in DTNs.
Speech-Enabled Web Services for Mobile Devices

Mobile devices offer small keyboards and displays, which are poor interfaces for the users of those devices. We have developed prototype software for a mobile device that provides a better form of interaction between the user and the mobile device. To enhance the user experience, we exploit the convenience of speech input and output, using speech recognition and synthesis technology. In addition, we incorporate context-aware capabilities, using Global Positioning System technology to provide geographical coordinates. For the applications, we exploit the powers of the Web to provide Web Services, such as stocks, maps, weather forecasts, and other services. The synergy between speech input and output, context-aware capabilities, and Web Services truly empowers a mobile device, and creates a more friendly experience for the user.