Miracle-dz/UniFAR-FTUs huggingface dataset:
Calculating Dryformer leakage reactance using analytical and finite element methods

Dryformer is an oil-free power transformer that its windings are made of high voltage cross-linked polyethylene (XLPE) cables. Leakage reactance calculation is a key step in transformer design process. Special structure of Dryformer makes conventional analytical methods useless for leakage reactance calculation in this type of transformer. In this paper, an analytical method is proposed for calculating leakage reactance of Dryformer based on its winding structure. The validity of proposed model is verified by means of 3D and 2D finite element models.
Growth of human small cell (oat cell) carcinoma of the lung in serum-free growth factor-supplemented medium.

Abstract A cell culture line of human small cell (oat cell) carcinoma of the lung (NCI-H69) was studied for growth factor requirements for replication in serum-free medium. By a series of addition experiments, the combination of selenium (3 × 10 -8 m), hydrocortisone (10 -8 m), insulin (5 µg/ml), transferrin (100 µg/ml), and 17β-estradiol (10 -8 m) (SHITE) added to Roswell Park Memorial Institute Medium 1640 without serum was found to allow optimum replication when cells were transferred from serum-containing medium. NCI-H69 cells have replicated continuously in SHITE-supplemented Roswell Park Memorial Institute Medium 1640 for periods of more than 12 months. The cells replicate with approximately the same doubling times as in medium supplemented with 10% fetal calf serum, but they exhibited a lower saturation density and longer lag phase in SHITE-supplemented medium compared to serum-supplemented medium. When individual components of SHITE were deleted, immediate and dramatic differences in growth were seen only with deletion of transferrin while minimal decreases were noted with deletion of the other factors. After 6 months of growth in SHITE, deletion of insulin or transferrin from the formula resulted in cessation of cell growth in serum-free medium while deletion of hydrocortisone or estradiol (alone or together) did not. A variety of other hormones and growth factors did not add significantly to SHITE in promoting replication. In addition, a series of hormones was found to inhibit replication or saturation density achieved in serum-free, hormone-supplemented medium including epidermal growth factor, luteinizing hormone-releasing factor, parathyroid hormone, blood meal, and the tripeptide glycyl-l-histidyl-l-lysine acetate. Six other small cell carcinoma lines were tested and also were able to replicate in SHITE-supplemented serum-free medium indicating the generality of this formula for small cell carcinoma, NCI-H69 cells cultured for 4 months in SHITE medium retained their amine precursor uptake and decarboxylation properties, characteristic small cell carcinoma histology by light microscopy, dense core (neurosecretory) granules by electron microscopy, and tumorigenicity in nude mice. The identification of this growth formula should allow selection of tumor cells directly from patient samples, study of hormone production and regulation by these cell lines, and identification of new growth and therapeutic agents, and it should provide a way of selecting for normal amine handling cells related histogenetically to small cell carcinoma.
Physical layer network coding: An outage analysis in cellular network

Physical layer network coding (PLNC) has been proposed to improve throughput of the two-way relay channel, where two nodes communicate with each other, being assisted by a relay node. Most of the works related to PLNC are focused on a simple three-node model and they do not take into account the impact of interference from other transmissions. Unlike these conventional studies, in this paper, we apply PLNC to a large-scale cellular network in the presence of intercell interference (ICI). In cellular networks, a terminal and a Base Station (BS) have different transmission power, which causes different impact of ICI on downlink (DL) and uplink (UL) phase. We theoretically derive outage probability with a tractable approach based on stochastic geometry which accurately models ICI. Moreover, we compare the performance of PLNC with Direct and conventional Relay scheme. With the obtained numerical results, we discuss how the interference and the difference of transmission power affect outage probability achieved by PLNC.
Same organization, same electronic health records (EHRs) system, different use: exploring the linkage between practice member communication patterns and EHR use patterns in an ambulatory care setting

Objective Despite efforts made by ambulatory care organizations to standardize the use of electronic health records (EHRs), practices often incorporate these systems into their work differently from each other. One potential factor contributing to these differences is within-practice communication patterns. The authors explore the linkage between within-practice communication patterns and practice-level EHR use patterns. Design Qualitative study of six practices operating within the same multi-specialty ambulatory care organization using the same EHR system. Semistructured interviews and direct observation were conducted with all physicians, nurses, medical assistants, practice managers, and non-clinical staff from each practice. Measurements An existing model of practice relationships was used to analyze communication patterns within the practices. Practice-level EHR use was defined and analyzed as the ways in which a practice uses an EHR as a collective or a group—including the degree of feature use, level of EHR-enabled communication, and frequency that EHR use changes in a practice. Interview and observation data were analyzed for themes. Based on these themes, within-practice communication patterns were categorized as fragmented or cohesive, and practice-level EHR use patterns were categorized as heterogeneous or homogeneous. Practices where EHR use was uniformly high across all users were further categorized as having standardized EHR use. Communication patterns and EHR use patterns were compared across the six practices. Results Within-practice communication patterns were associated with practice-level EHR use patterns. In practices where communication patterns were fragmented, EHR use was heterogeneous. In practices where communication patterns were cohesive, EHR use was homogeneous. Additional analysis revealed that practices that had achieved standardized EHR use (uniformly high EHR use across all users) exhibited high levels of mindfulness and respectful interaction, whereas practices that were furthest from achieving standardized EHR use exhibited low levels of mindfulness and respectful interaction. Conclusion Within-practice communication patterns provide a unique perspective for exploring the issue of standardization in EHR use. A major fallacy of setting homogeneous EHR use as the goal for practice-level EHR use is that practices with uniformly low EHR use could be considered successful. Achieving uniformly high EHR use across all users in a practice is more consistent with the goals of current EHR adoption and use efforts. It was found that some communication patterns among practice members may enable more standardized EHR use than others. Understanding the linkage between communication patterns and EHR use can inform understanding of the human element in EHR use and may provide key lessons for the implementation of EHRs and other health information technologies.
1 A STATISTICAL ANALYSIS OF ROAD TRAFFIC ACCIDENTS IN DIBRUGARH CITY , ASSAM , INDIA

Background: Road traffic accidents (RTAs) have turned out to be a huge global public health and development problem. Assam one of the federal states in North East India has a high rate of accidents and deaths in relation to number of vehicles on the road. Realizing the need to establish baseline information on RTAs, the present study was conducted in Dibrugarh city under the jurisdiction of Dibrugarh Police Station, Assam, India. Methods: Complete RTA data of the year 2009 from case dairies and police records of Dibrugarh Police station were studied. SPSS (13.0) and Ky-plot software with bivariate comparisons were used. Data interpretation was done using Degree of freedom, Chi–square test for goodness of fit, 2 χ – test for independence of attributes and Kruskal-Wallis test. Results: Human characteristics (rush and negligence) make 95.38% of the total RTAs. 60% of the accidents were recorded during day time (6 AM to 6 PM). The peak time was between 12 PM to 6 PM (38.46%). The highest numbers of accidents (32.30%) were observed in the heavy rainy season during the months of July – September. Conclusion: The fewer data on accident reports at police stations are an indicative of lack of awareness of accidents reporting. RTAs are preventable and in order to combat the problem there needs to be close coordination and collaboration, using a holistic and integrated approach, across many sectors and many disciplines.
Fusion and Fission Events in the Endocytic Pathway of Dictyostelium

The endocytic pathway in Dictyostelium appears as a short circuit between endocytosis and exocytosis. Within the hour that elapses between internalization of nutrients and release of remnants, digestion by lysosomal enzymes occurs. Meanwhile, the maturing endosome undergoes a complex series of fusion and fission events, which change its character profoundly and which are far from being fully understood. This review attempts to order the dynamic events into a sequence of stages that is most consistent with present knowledge.
Frugal Mobile Objects

This paper presents a computing model for resource-limited mobile devices. The originality of the model lies in the integration of a strongly-typed event-based communication paradigm with abstractions for frugal control, assuming a small footprint runtime. With our model, an application consists of a set of distributed reactive objects, called FROBs, that communicate through typed events and dynamically adapt their behavior reacting to notifications typically based on resource availability. FROBs have a logical time-slicing execution pattern that helps monitor resource consuming tasks and determine resource profiles in terms of CPU, memory, and bandwidth. The behavior of a FROB is represented by a set of stateless first-class objects. Both state and behavioral objects are referenced through a level of indirection within the FROB. This facilitates the dynamic changes of the set of event types a FROB can accept, say based on the available resources, without requiring a significant footprint of the underlying FROB runtime. We demonstrate the usability of the FROB model through our Java-based prototype and a peer-to-peer audio streaming scenario where an audio provider dynamically adjusts its quality of service by adapting to demand. The performance results of our prototype convey the small footprint of our FROB runtime (86 kilobytes). We also augmented the KVM to enable resource profiling with however a negligible overhead (less than 0.5%) and a decrease in speed of the virtual machine of at most 7%.
Adrenergic control of glycemia in the paraventricular nucleus of the hypothalamus in pigeons

The effects of local injections of adrenaline into the paraventricular nucleus (PVN) and into other anterior hypothalamic areas on blood glucose levels were investigated in conscious pigeons (Columba livia). Adrenaline evoked a reliable and potent increase in blood glucose levels when injected into the PVN; no glycemic change was observed after vehicle injections into the PVN or after adrenaline injections into the 3rd ventricle or hypothalamic structures adjacent to the PVN. Local pretreatment with propranolol, but not with phentolamine, abolished the adrenaline-induced hyperglycemia. The present results indicate that adrenergically mediated circuits into the avian PVN play an important role in central mechanisms of energy balance that may be equivalent to those observed in mammalian species.
An Automated Trust Negotiation Framework Based on Subjective Trust Model

In open and dynamic systems, interaction between participants suffers the problem of determining one another's trustworthiness. Automated trust negotiation is a process of establishing trust step by step between participants through the bilateral exchange of credentials and policies. However, due to the lack of credentials, negotiation is prone to fail. This paper presents an ATN framework based on subjective trust model. Representation of subjective trust in access control policies and negotiation processes of different negotiation strategies based on trust model are discussed and analyzed. Meanwhile, it presents the trust model FIRE . With the matrix representation of interaction history, it increases evaluation information effectively. It also gives out the complete method of evaluating trust.
Joint effect analysis of phase noise, carrier frequency offset, Doppler spread and nonlinear amplifier on the performance of OFDM system

In this paper, we provide an exact closed-form expression of the effective signal-to-noise ratio (SNR) for orthogonal frequency division multiplexing (OFDM) performance under the combined effect of phase noise, frequency offset, and amplifier nonlinearities of the soft envelope limiter (SEL). This formula describes explicitly the various parameters with the system performance. After deriving the effective SNR, we evaluate the bit-error-rate (BER) for slowly fading Rayleigh channel for QPSK and 16QAM modulation formats. We also obtain the minimum total degradation (TD) versus phase noise rate for different values of frequency offset rate as a criterion of performance evaluation. We show that the degradation is increased as the phase noise levels and frequency offset levels are increased. Even worse results are obtained for 16QAM modulation format compared with QPSK modulation format.
Distributed CSMA Algorithms for Link Scheduling in Multihop MIMO Networks Under SINR Model

In this paper, we study distributed scheduling in multihop multiple-input-multiple-output (MIMO) networks. We first develop a “MIMO-pipe” model that provides the upper layers a set of rates and signal-to-interference-plus-noise ratio (SINR) requirements that capture the rate-reliability tradeoff in MIMO communications. The main thrust of this paper is then dedicated to developing distributed carrier sense multiple access (CSMA) algorithms for MIMO-pipe scheduling under the SINR interference model. We choose the SINR model over the extensively studied protocol-based interference models because it more naturally captures the impact of interference in wireless networks. The coupling among the links caused by the interference under the SINR model makes the problem of devising distributed scheduling algorithms very challenging. To that end, we explore the CSMA algorithms for MIMO-pipe scheduling from two perspectives. We start with an idealized continuous-time CSMA network, where control messages can be exchanged in a collision-free manner, and devise a CSMA-based link scheduling algorithm that can achieve throughput optimality under the SINR model. Next, we consider a discrete-time CSMA network, where the message exchanges suffer from collisions. For this more challenging case, we develop a “conservative” scheduling algorithm by imposing a more stringent SINR constraint on the MIMO-pipe model. We show that the proposed conservative scheduling achieves an efficiency ratio bounded from below.
Autonomous Management of Soft Indexes

In recent years the support for index tuning as pan of physical database design has gained focus in research and product development, which resulted in index and design advisors. Nevertheless, these tools provide a one-off solution for a continuous task and are not deeply integrated with the DBMS functionality by only applying the query optimizer for index recommendation and profit estimation and decoupling the decision about and execution of index configuration changes from the core system functionality. In this paper we propose an approach that continuously collects statistics for recommended indexes and based on this, repetitively solves the Index Selection Problem (lSP). A key novelty is the on-the-fly index generation during query processing implemented by new query plan operators In-dexBuildScan and SwitchPlan. Finally, we present the implementation and evaluation of the introduced concepts as part of the PostgreSQL system.
A secure and optimally efficient multi-authority election scheme

In this paper we present a new multi-authority secret-ballot election scheme that guarantees privacy, universal verifiability, and robustness. It is the first scheme for which the performance is optimal in the sense that time and communication complexity is minimal both for the individual voters and the authorities. An interesting property of the scheme is that the time and communication complexity for the voter is independent of the number of authorities. A voter simply posts a single encrypted message accompanied by a compact proof that it contains a valid vote. Our result is complementary to the result by Cramer, Franklin, Schoenmakers, and Yung in the sense that in their scheme the work for voters is linear in the number of authorities but can be instantiated to yield information-theoretic privacy, while in our scheme the voter's effort is independent of the number of authorities but always provides computational privacy-protection. We will also point out that the majority of proposed voting schemes provide computational privacy only (often without even considering the lack of information-theoretic privacy), and that our new scheme is by far superior to those schemes.
Retention assessment of magnetic nanoparticles in rat arteries with micro-computed tomography

Magnetic nanoparticles (MNPs) may serve as carriers for pharmacological agents to the target in a magnetic-force guiding system. It is essential to achieve effective retention of MNPs through the external magnet placement. However, it is difficult to estimate the retention efficiency of MNPs and validate the experimental strategies. Micro-CT was used to identify the spatial distribution of MNP retention and image analysis is then extended to evaluate the MNP delivery efficiency. Male Sprague Dawley rats were anesthetized to expose abdominal arteries with an NdFeB magnet of 4.9 kG placed by the left iliac artery. After a 20 min equilibrium period, arteries were ligated, removed and fixed in a paraformaldehyde solution. Experiments were performed with intravenous injection in our platform with two independent groups. MNPs were used in the first group, while chemical compounds of recombinant tissue plaminogen activator were attached to MNPs as rtPA (recombinant tissue plaminogen activator)-MNPs in the second group. Image analysis of micro-CT shows the average retention volume of MNPs and rtPA-MNPs in the left iliac arteries is 9.3 and 6.3 fold of that in the right. Large local aggregation of MNPs and rtPA-MNPs in the left iliac arteries is the consequence of external magnet placement, suggesting feasibility of magnetic targeting through the intravenous administration. We also determined that on average 0.57% and 0.064% of MNPs and rtPA-MNPs respectively were retained in the left iliac artery. It was estimated that the average rtPA concentration of 60.16 µg mL−1 may be achieved with rtPA-MNPs. With the micro-CT imaging approach, we accomplished visualization of the aggregation of retained particles; reconstructed 3D distribution of relative retention; estimated the average particle number of local retention; determined efficiency of targeted delivery. In particular, our quantitative image assessment suggests that intravenous administration of rtPA-MNPs may retain local concentration of rtPA high enough to induce thrombolysis.
A Unified Framework for Metric Transfer Learning

Transfer learning has been proven to be effective for the problems where training data from a source domain and test data from a target domain are drawn from different distributions. To reduce the distribution divergence between the source domain and the target domain, many previous studies have been focused on designing and optimizing objective functions with the Euclidean distance to measure dissimilarity between instances. However, in some real-world applications, the Euclidean distance may be inappropriate to capture the intrinsic similarity or dissimilarity between instances. To deal with this issue, in this paper, we propose a metric transfer learning framework (MTLF) to encode metric learning in transfer learning. In MTLF, instance weights are learned and exploited to bridge the distributions of different domains, while Mahalanobis distance is learned simultaneously to maximize the intra-class distances and minimize the inter-class distances for the target domain. Unlike previous work where instance weights and Mahalanobis distance are trained in a pipelined framework that potentially leads to error propagation across different components, MTLF attempts to learn instance weights and a Mahalanobis distance in a parallel framework to make knowledge transfer across domains more effective. Furthermore, we develop general solutions to both classification and regression problems on top of MTLF, respectively. We conduct extensive experiments on several real-world datasets on object recognition, handwriting recognition, and WiFi location to verify the effectiveness of MTLF compared with a number of state-of-the-art methods.
Apoptotic Cleavage of Rabaptin-5-like Proteins and a Model for Rabaptin-5 Inactivation in Apoptosis

Intracellular membrane transport from the plasma membrane is one of the processes affected in apoptotic cells. Apoptotic inhibition of endosomal transport occurs due to cleavage of Rabaptin-5, an effector of small GTPase Rab5, which results in inhibition of early endosome fusion. Recently several novel Rabaptin-5-like proteins were identified. We investigated whether Rabaptin-5-like proteins, Rabaptin-5? and Rabaptin-5? , are also cleaved in apoptosis and found that both proteins are cleaved in apoptotic cell extracts by caspase-3-related proteases. This suggests that functional inactivation of these proteins is necessary for apoptotic cell death. We also mapped a novel, N-terminal, putative Rab5 binding site in Rabaptin-5-like proteins, which becomes physically separated from the previously known C-terminal Rab5 binding site after apoptotic cleavage of these proteins. Presence of the second Rab5 binding site provides a new insight into Rabaptin-5 function in early endosome fusion and a mechanistic model for functional inactivation of Rabaptin-5 in apoptosis.
Computational Identification of Antigenicity-Associated Sites in the Hemagglutinin Protein of A/H1N1 Seasonal Influenza Virus

The antigenic variability of influenza viruses has always made influenza vaccine development challenging. The punctuated nature of antigenic drift of influenza virus suggests that a relatively small number of genetic changes or combinations of genetic changes may drive changes in antigenic phenotype. The present study aimed to identify antigenicity-associated sites in the hemagglutinin protein of A/H1N1 seasonal influenza virus using computational approaches. Random Forest Regression (RFR) and Support Vector Regression based on Recursive Feature Elimination (SVR-RFE) were applied to H1N1 seasonal influenza viruses and used to analyze the associations between amino acid changes in the HA1 polypeptide and antigenic variation based on hemagglutination-inhibition (HI) assay data. Twenty-three and twenty antigenicity-associated sites were identified by RFR and SVR-RFE, respectively, by considering the joint effects of amino acid residues on antigenic drift. Our proposed approaches were further validated with the H3N2 dataset. The prediction models developed in this study can quantitatively predict antigenic differences with high prediction accuracy based only on HA1 sequences. Application of the study results can increase understanding of H1N1 seasonal influenza virus antigenic evolution and accelerate the selection of vaccine strains.