Miracle-dz/UniFAR-FTUs huggingface dataset:
Antenna apparatus and communication terminal equipment

Provided are a frequency stabilization circuit, a frequency stabilization device, an antenna device, and a communication terminal apparatus capable of stabilizing frequency characteristics of a high-frequency signal without being affected by radiating elements, shape of housing, or placement of neighboring components. Also provided is an impedance transformation element with minimal insertion loss. The disclosed antenna device is provided with first and second radiating elements (11 and 21), a feed circuit (30) connected to each of the radiating elements (11 and 21), and a frequency stabilization circuit (35) provided between the feed circuit (30) and the first radiating element (11). The frequency stabilization circuit (35) includes a primary side series circuit (36) connected to the feed circuit (30), and a secondary side series circuit (37) coupled with the primary side series circuit (36) across an electric field or a magnetic field. First and second inductance elements (L1 and L2) are serially connected, and third and fourth inductance elements (L3 and L4) are serially connected. The first and third inductance elements (L1 and L3) are mutually coupled, and the second and fourth inductance elements (L2 and L4) are mutually coupled.
Coloring, Embedding, Compression and Data Structure Problems on Uniform Hypergraphs

DECLARATION This thesis is a presentation of my original research work. Wherever contributions of others are involved, every effort is made to indicate this clearly, with due reference to the literature, and acknowledgement of collaborative research and discussions. [Candidate's name and signature] In my capacity as supervisor of the candidate's thesis, I certify that the above statements are true to the best of my knowledge. Jaikumar Radhakrishnan [Guide's name and signature] Date: To My Parents Acknowledgements I am deeply indebted to my advisor, Jaikumar Radhakrishan, for his support and guidance during the course of this thesis. He has been my friend and mentor throughout my stay at TIFR. I want to thank him for all the opportunities and privileges he provided me during my Ph.D. life. The work presented in this thesis is done in collaboration with Jaikumar Rad-hakrishnan, Uli Wagner, Sudebkumar Prasant Pal and Smit Shah. I thank each of them. I thank Vivek Borkar and Pranab Sen for supporting me in various stages of my stay here. I thank external thesis examiners Sambudhha Roy and Aravind Srinivasan for carefully reading my thesis and suggesting corrections.
A microarray-based transcriptomic time-course of hyper- and hypo-osmotic stress signaling events in the euryhaline fish Gillichthys mirabilis: osmosensors to effectors

SUMMARY Cells respond to changes in osmolality with compensatory adaptations that re-establish ion homeostasis and repair disturbed aspects of cell structure and function. These physiological processes are highly complex, and require the coordinated activities of osmosensing, signal transducing and effector molecules. Although the critical role of effector proteins such as Na+, K+-ATPases and Na+/K+/Cl– co-transporters during osmotic stress are well established, comparatively little information is available regarding the identity or expression of the osmosensing and signal transduction genes that may govern their activities. To better resolve this issue, a cDNA microarray consisting of 9207 cDNA clones was used to monitor gene expression changes in the gill of the euryhaline fish Gillichthys mirabilis exposed to hyper- and hypo-osmotic stress. We successfully annotated 168 transcripts differentially expressed during the first 12 h of osmotic stress exposure. Functional classifications of genes encoding these transcripts reveal that a variety of biological processes are affected. However, genes participating in cell signaling events were the dominant class of genes differentially expressed during both hyper- and hypo-osmotic stress. Many of these genes have had no previously reported role in osmotic stress adaptation. Subsequent analyses used the novel expression patterns generated in this study to place genes within the context of osmotic stress sensing, signaling and effector events. Our data indicate multiple major signaling pathways work in concert to modify diverse effectors, and that these molecules operate within a framework of regulatory proteins.
Refixations gather new visual information rationally

The standard model is that word identification in reading is a holistic process, most efficient when words are centered in the visual field. In contrast, rational models of reading predict word identification to be a constructive process, where readers efficiently gather visual information about a word, and may combine visual information about different parts of the word obtained across multiple fixations to identify it. We tease apart these accounts by arguing that rational models should predict that the most efficient place in a word to make a second fixation (refixation) depends on the visual information the reader has already obtained. We present evidence supporting this prediction from an eye movement corpus. Computational model simulations confirm that a rational model predicts this finding, but a model implementing holistic identification does not. These results suggest that refixations can be well understood as rationally gathering visual information, and that word identification works constructively.
Reram, resistive random access memory

The present invention relates to a resistive random access memory and, particularly, to technology about a resistive random access memory device using a resistive switch device. The present invention reduces sensing time by including a first amplifier which amplifies a sensing current corresponding to data sensed in the memory cell and a second amplifier which stores the sensing current amplified by the first amplifier and amplifies a charge when the amplified sensing current is stored.
Brain tumor segmentation by integrating symmetric property with region growing approach

Brain tumor segmentation is an important procedure for early diagnosis of brain tumor and planning of its treatment. However it is still a difficult task due to variations in size, shape and location of tumor. In this paper, we propose a novel brain tumor segmentation method using T2-weighted brain MR images by integrating symmetry property of brain with region growing approach. Bilateral symmetry property of brain is used in our method to identify various regions having probability of presence of the tumor. Identification of exact tumor location and its segmentation is then performed by using region growing technique. Qualitative and quantitative evaluation of proposed approach was performed and promising results have been demonstrated when compared with ground truth and other state of art method. The segmented tumor region obtained in our work can assist the doctors and radiologist in the diagnosis of brain tumor and treatment planning.
Chemogenomic Profiling of Antileishmanial Efficacy and Resistance in the Related Kinetoplastid Parasite Trypanosoma brucei

The arsenal of drugs used to treat leishmaniasis, caused by Leishmania spp. , is limited and beset by toxicity and emergent resistance. Furthermore, our understanding of drug mode of action and potential routes to resistance is limited. Forward genetic approaches have revolutionized our understanding of drug mode of action in the related kinetoplastid parasite Trypanosoma brucei. ABSTRACT The arsenal of drugs used to treat leishmaniasis, caused by Leishmania spp. , is limited and beset by toxicity and emergent resistance. Furthermore, our understanding of drug mode of action and potential routes to resistance is limited. Forward genetic approaches have revolutionized our understanding of drug mode of action in the related kinetoplastid parasite Trypanosoma brucei. Therefore, we screened our genome-scale T. brucei RNA interference (RNAi) library against the current antileishmanial drugs sodium stibogluconate (antimonial), paromomycin, miltefosine, and amphotericin B. Identification of T. brucei orthologues of the known Leishmania antimonial and miltefosine plasma membrane transporters effectively validated our approach, while a cohort of 42 novel drug efficacy determinants provides new insights and serves as a resource. Follow-up analyses revealed the antimonial selectivity of the aquaglyceroporin TbAQP3. A lysosomal major facilitator superfamily transporter contributes to paromomycin-aminoglycoside efficacy. The vesicle-associated membrane protein TbVAMP7B and a flippase contribute to amphotericin B and miltefosine action and are potential cross-resistance determinants. Finally, multiple phospholipid-transporting flippases, including the T. brucei orthologue of the Leishmania miltefosine transporter, a putative β-subunit/CDC50 cofactor, and additional membrane-associated hits, affect amphotericin B efficacy, providing new insights into mechanisms of drug uptake and action. The findings from this orthology-based chemogenomic profiling approach substantially advance our understanding of antileishmanial drug action and potential resistance mechanisms and should facilitate the development of improved therapies as well as surveillance for drug-resistant parasites.
Mapping genetic determinants of the cell-culture growth phenotype of enterovirus 71

Enterovirus 71 (EV71) is a member of the species Human enterovirus A within the family Picornaviridae and is a major causative agent of epidemics of hand, foot and mouth disease associated with severe neurological disease. Three EV71 genogroups, designated A, B and C, have been identified, with 75–84 % nucleotide sequence similarity between them. Two strains, EV71-26M (genogroup B) and EV71-6F (genogroup C), were found to have distinct cell-culture growth (26M, rapid; 6F, slow) and plaque-formation (26M, large; 6F, small) phenotypes. To identify the genome regions responsible for the growth phenotypes of the two strains, a series of chimeric viruses was constructed by exchanging the 5′ untranslated region (UTR), P1 structural protein or P2/P3 non-structural protein gene regions plus the 3′UTR using infectious cDNA clones of both virus strains. Analysis of reciprocal virus chimeras revealed that the 5′UTRs of both strains were compatible, but not responsible for the observed phenotypes. Introduction of the EV71-6F P1 region into the EV71-26M clone resulted in a small-plaque and slow-growth phenotype similar to that of EV71-6F, whereas the reciprocal chimera displayed intermediate-growth and intermediate-sized plaque phenotypes. Introduction of the EV71-26M P2–P3–3′UTR regions into the EV71-6F clone resulted in a large-plaque and rapid-growth phenotype identical to that of strain EV71-26M, whereas the reciprocal chimera retained the background strain large-plaque phenotype. These results indicate that, although both the P1 and P2–P3–3′UTR genome regions influence the EV71 growth phenotype in cell culture, phenotype expression is dependent on specific genome-segment combinations and is not reciprocal.
On Gaussian Approximation for Density Evolution of Low-Density Parity-Check Codes

This paper is concerned with density evolution for iterative decoding of low-density parity-check (LDPC) codes. We first study the problem of density evolution computation for regular LDPC codes. For this, we propose a simple computational algorithm based on the ergodicity theory. This method is shown to match very well with explicit calculations of density functions. The second problem we study is about the approach of Gaussian approximation to density evolution. We point out that it is inappropriate to use the mean of the density only to model the iterative decoding process. Instead, both the mean and variance are needed for Gaussian approximation. Finally, we consider the problem of density evolution for irregular LDPC codes. For this, we extend the density evolution algorithm for regular LDPC codes to irregular LDPC codes. We then illustrate that Gaussian approximation is also valid provided that the degree distributions are not wide. A dynamic model is also presented based on Gaussian approximation.
Nucleocapsid Incorporation into Parainfluenza Virus Is Regulated by Specific Interaction with Matrix Protein

ABSTRACT The paramyxovirus nucleoproteins (NPs) encapsidate the genomic RNA into nucleocapsids, which are then incorporated into virus particles. We determined the protein-protein interaction between NP molecules and the molecular mechanism required for incorporating nucleocapsids into virions in two closely related viruses, human parainfluenza virus type 1 (hPIV1) and Sendai virus (SV). Expression of NP from cDNA resulted in in vivo nucleocapsid formation. Electron micrographs showed no significant difference in the morphological appearance of viral nucleocapsids obtained from lysates of transfected cells expressing SV or hPIVI NP cDNA. Coexpression of NP cDNAs from both viruses resulted in the formation of nucleocapsid composed of a mixture of NP molecules; thus, the NPs of both viruses contained regions that allowed the formation of mixed nucleocapsid. Mixed nucleocapsids were also detected in cells infected with SV and transfected with hPIV1 NP cDNA. However, when NP of SV was donated by infected virus and hPIV1 NP was from transfected cDNA, nucleocapsids composed of NPs solely from SV or solely from hPIVI were also detected. Although almost equal amounts of NP of the two viruses were found in the cytoplasm of cells infected with SV and transfected with hPIV1 NP cDNA, 90% of the NPs in the nucleocapsids of the progeny SV virions were from SV. Thus, nucleocapsids containing heterologous hPIV1 NPs were excluded during the assembly of progeny SV virions. Coexpression of hPIV1 NP and hPIV1 matrix protein (M) in SV-infected cells increased the uptake of nucleocapsids containing hPIV1 NP; thus, M appears to be responsible for the specific incorporation of the nucleocapsid into virions. Using SV-hPIV1 chimera NP cDNAs, we found that the C-terminal domain of the NP protein (amino acids 420 to 466) is responsible for the interaction with M.
The incN plasmid replicon: two pathways of DNA polymerase I-independent replication

The 2,053-bp broad-host-range incompatibility group N replicon of plasmid pCU1 has two components: a region of 1,200 bp that is sufficient for its replication in Escherichia coli PolA+ and PolA- hosts and a regulatory region called the group I iteron region that contains 13 39-bp iterons. Within the 1,200-bp region, there are three replication origins, two of which, called oriB and oriS, function in PolA+ and PolA- hosts and a third, called oriV, which functions only in PolA+ hosts. The region also specifies a protein called RepA. We now show that both oriB and oriS can function in a delta polA strain but that in such a strain, only oriB has an absolute requirement for RepA. oriS can function without RepA and polymerase I provided that the iteron region is deleted and that in this circumstance, it is the only origin, the usage of which is detected. The requirements for oriB usage can thus be distinguished from those for oriS usage. The oriB region can be recovered as a plasmid only if RepA is provided in trans. These complex features of this replicon are also shown to be shared by the IncN replicons of other antibiotic resistance plasmids. Functionally distinguishable origins in a small replicon may be a way of endowing such a replicon with a broad host range.
Natural course of intracranial pressure and drainage of CSF after recovery from subarachnoid hemorrhage

Twenty‐eight patients were followed 12 months or longer after recovery from subarachnoid hemorrhage (SAH). The examination included spinal infusion test (SIT), clinical evaluation and cerebral computertomography (CT). The results indicate that when resting pressure and drainage of CSF are within normal limits 3 months after the hemorrhage there is little if any risk of developing late communicating hydrocephalus. In this study, most patients with a moderate impaired CSF drainage and/or slightly increased resting pressure 3 months after SAH did not show any increase in the ventricular size or clinical deterioration during the follow‐up period. None of the 28 patients developed late communicating hydrocephalus or the clinical picture of normal pressure hydrocephalus.
Clinical Effect Size of an Educational Intervention in the Home and Compliance With Mobile Phone-Based Reminders for People Who Suffer From Stroke: Protocol of a Randomized Controlled Trial

Background Stroke is the third-leading cause of death and the leading cause of long-term neurological disability in the world. Cognitive, communication, and physical weakness combined with environmental changes frequently cause changes in the roles, routines, and daily occupations of stroke sufferers. Educational intervention combines didactic and interactive intervention, which combines the best choices for teaching new behaviors since it involves the active participation of the patient in learning. Nowadays, there are many types of interventions or means to increase adherence to treatment. Objective The aim of this study is to enable patients who have suffered stroke and been discharged to their homes to improve the performance of the activities of daily living (ADL) in their home environment, based on advice given by the therapist. A secondary aim is that these patients continue the treatment through a reminder app installed on their mobile phones. Methods This study is a clinical randomized controlled trial. The total sample will consist of 80 adults who have suffered a stroke with moderate severity and who have been discharged to their homes in the 3 months prior to recruitment to the study. The following tests and scales will be used to measure the outcome variables: Barthel Index, the Functional Independence Measure, the Mini-Mental State Examination, the Canadian Neurological Scale, the Stroke Impact Scale-16, the Trunk Control Test, the Modified Rankin Scale, the Multidimensional Scale of Perceived Social Support, the Quality of Life Scale for Stroke, the Functional Reach Test, the Romberg Test, the Time Up and Go test, the Timed-Stands Test, a portable dynamometer, and a sociodemographic questionnaire. Descriptive analyses will include mean, standard deviation, and 95% confidence intervals of the values for each variable. The Kolmogov-Smirnov (KS) test and a 2x2 mixed-model analysis of variance (ANOVA) will be used. Intergroup effect sizes will be calculated (Cohen’s d). Results Currently, the study is in the recruitment phase and implementation of the intervention has begun. The authors anticipate that during 2015 the following processes should be completed: recruitment, intervention, and data collection. It is expected that the analysis of all data and the first results should be available in early-to-mid 2016. Conclusions An educational intervention based on therapeutic home advice and a reminder app has been developed by the authors with the intention that patients who have suffered stroke perform the ADL more easily and use their affected limbs more actively in the ADL. The use of reminders via mobile phone is proposed as an innovative tool to increase treatment adherence in this population. Trial Registration ClinicalTrials.gov NCT01980641; https://clinicaltrials.gov/ct2/show/NCT01980641 (Archived by WebCite at http://www.webcitation.org/6WRWFmY6U).
Approximate reasoning using terminological models

Term Subsumption Systems (TSS) form a knowledge-representation scheme in AI that can express the defining characteristics of concepts through a formal language that has a well-defined semantics and incorporates a reasoning mechanism that can deduce whether one concept subsumes another. However, TSS's have very limited ability to deal with the issue of uncertainty in knowledge bases. The objective of this research is to address issues in combining approximate reasoning with term subsumption systems. To do this, we have extended an existing AI architecture (CLASP) that is built on the top of a term subsumption system (LOOM). First, the assertional component of LOOM has been extended for asserting and representing uncertain propositions. Second, we have extended the pattern matcher of CLASP for plausible rule-based inferences. Third, an approximate reasoning model has been added to facilitate various kinds of approximate reasoning. And finally, the issue of inconsistency in truth values due to inheritance is addressed using justification of those values. This architecture enhances the reasoning capabilities of expert systems by providing support for reasoning under uncertainty using knowledge captured in TSS. Also, as definitional knowledge is explicit and separate from heuristic knowledge for plausible inferences, the maintainability of expert systems could be improved.
Deficits in Endogenous Adenosine Formation by Ecto-5′-Nucleotidase/CD73 Impair Neuromuscular Transmission and Immune Competence in Experimental Autoimmune Myasthenia Gravis

AMP dephosphorylation via ecto-5′-nucleotidase/CD73 is the rate limiting step to generate extracellular adenosine (ADO) from released adenine nucleotides. ADO, via A2A receptors (A2ARs), is a potent modulator of neuromuscular and immunological responses. The pivotal role of ecto-5′-nucleotidase/CD73, in controlling extracellular ADO formation, prompted us to investigate its role in a rat model of experimental autoimmune myasthenia gravis (EAMG). Results show that CD4+CD25+FoxP3+ regulatory T cells express lower amounts of ecto-5′-nucleotidase/CD73 as compared to controls. Reduction of endogenous ADO formation might explain why proliferation of CD4+ T cells failed upon blocking A2A receptors activation with ZM241385 or adenosine deaminase in EAMG animals. Deficits in ADO also contribute to neuromuscular transmission failure in EAMG rats. Rehabilitation of A2AR-mediated immune suppression and facilitation of transmitter release were observed by incubating the cells with the nucleoside precursor, AMP. These findings, together with the characteristic increase in serum adenosine deaminase activity of MG patients, strengthen our hypothesis that the adenosinergic pathway may be dysfunctional in EAMG. Given that endogenous ADO formation is balanced by ecto-5′-nucleotidase/CD73 activity and that A2ARs exert a dual role to restore use-dependent neurocompetence and immune suppression in myasthenics, we hypothesize that stimulation of the two mechanisms may have therapeutic potential in MG.
A Neural Network (NN) Approach to Solving a Static-non-exchange Scattering of Electron-Hydrogen

In this present work is to numerically estimate via neural network the scattering elastic-collision phase shift from electron hydrogen interaction. Previous works have shown reliable results using runge-kutta 4th order (RK-4). This can be achieved by solving the 2nd Order Differential Equation (ODE) that is found commonly in physical scattering problem. A number of trial functions was tested that describe the Schrodinger Equation in which solves the static field approximation of the wave equation. Results have shown comparable but inferior results relatively to the RK-4 method. It can be said that NN approach shows promise with the advantage of continuous estimation but lack the accuracy that can be produced by RK-4.
Geometric ad-hoc routing: of theory and practice

All too often a seemingly insurmountable divide between theory and practice can be witnessed. In this paper we try to contribute to narrowing this gap in the field of ad-hoc routing. In particular we consider two aspects: We propose a new geometric routing algorithm which is outstandingly efficient on practical average-case networks, however is also in theory asymptotically worst-case optimal. On the other hand we are able to drop the formerly necessary assumption that the distance between network nodes may not fall below a constant value, an assumption that cannot be maintained for practical networks. Abandoning this assumption we identify from a theoretical point of view two fundamentamentally different classes of cost metrics for routing in ad-hoc networks.