Miracle-dz/UniFAR-FTUs huggingface dataset:
The BBG HIBE Has Limited Delegation

At Eurocrypt 2005, Boneh, Boyen, and Goh presented a hierarchical IBE for which they claimed a novel property, called limited delegation: it is possible to give an entity a private key that restricts it from generating descendant private keys beyond some depth d; in particular, with d equal to the entity’s depth, such a key allows decryption only. In this paper, we argue that this claim is nonobvious and requires proof, provide a precise model for arguing about limited delegation, and prove that the Boneh-Boyen-Goh system does, in fact, have limited delegation. Whereas Boneh, Boyen, and Goh prove their system semantically secure under the BDHI assumption, our proof of limited delegation requires the stronger BDHE assumption.
the Synthetic Retinoid CD 437 in Human Lung Cancer Cells Implication of p 53 in Growth Arrest and Apoptosis Induced by Updated

CD437 is a novel retinoid that can induce apoptosis in a variety of tumor cell types by an unknown mechanism. We found that CD437 up-regulated the expression ofp21, Bax, and Killer/DR5 and induced G1 arrest and rapid apoptosis in three human non-small cell lung carcinoma cell lines with wild-type p53 but not in five cell lines with mutant p53, suggesting a role for p53 in the effects of CD437. Using H460 cells in which wild-type p53 protein was degraded by transfection of the human papillomavirus 16 E6 (HPV-16 E6) gene and H460 cells transfected with a control plasmid only, we found that CD437 increased p53, p21, Bax, and Killer/DR5 in the control transfectants. In contrast, the constitutive p53 protein level was suppressed, and the ability of CD437 to increase p53 and its downstream genes was compromised in E6 transfectants. In addition, CD437 induced G1 arrest and apoptosis in the control transfectants but not in the E6-transfected cells. These results indicate that p53 plays a role in CD437-induced growth inhibition and apoptosis in human non-small cell lung carcinoma cells.
Pains and gains of working in Chinese universities: an academic returnee's journey

ABSTRACT Over the past decade, an increasing number of overseas Chinese PhD graduates have returned to China to develop their career. For these academic returnees, one of the challenges is to (re)construct an academic identity in a familiar context that is also strange because they have been absent for a few years. In this autobiographical paper, the researcher describes and reflects upon the pains and gains experienced when re-entering and working in Chinese universities as a PhD returnee, revealing the process of his academic identity (re)construction when adjusting to different academic assessment policies. This writing offers an individual perspective on the challenges to returnees’ academic identity (re)construction and argues for the need to set up in-between spaces for inter/cross-disciplinary academic discourse between returnees and local scholars at Chinese universities. This paper aims to contribute to pedagogic debate on the development of more open research practices in Chinese universities.
Identifying the Types of Ion Channel-Targeted Conotoxins by Incorporating New Properties of Residues into Pseudo Amino Acid Composition

Conotoxins are a kind of neurotoxin which can specifically interact with potassium, sodium type, and calcium channels. They have become potential drug candidates to treat diseases such as chronic pain, epilepsy, and cardiovascular diseases. Thus, correctly identifying the types of ion channel-targeted conotoxins will provide important clue to understand their function and find potential drugs. Based on this consideration, we developed a new computational method to rapidly and accurately predict the types of ion-targeted conotoxins. Three kinds of new properties of residues were proposed to use in pseudo amino acid composition to formulate conotoxins samples. The support vector machine was utilized as classifier. A feature selection technique based on F-score was used to optimize features. Jackknife cross-validated results showed that the overall accuracy of 94.6% was achieved, which is higher than other published results, demonstrating that the proposed method is superior to published methods. Hence the current method may play a complementary role to other existing methods for recognizing the types of ion-target conotoxins.
Factoring using $2n+2$ qubits with Toffoli based modular multiplication

We describe an implementation of Shor's quantum algorithm to factor n-bit integers using only 2n+2 qubits. In contrast to previous space-optimized implementations, ours features a purely Toffoli based modular multiplication circuit. The circuit depth and the overall gate count are in O(n3) and O(n3 logn), respectively. We thus achieve the same space and time costs as Takahashi et al. [1], while using a purely classical modular multiplication circuit. As a consequence, our approach evades most of the cost overheads originating from rotation synthesis and enables testing and localization of some faults in both, the logical level circuit and an actual quantum hardware implementation. Our new (in-place) constant-adder, which is used to construct the modular multiplication circuit, uses only dirty ancilla qubits and features a circuit size and depth in O(nlogn) and O(n), respectively.
Epoch Extraction From Telephone Quality Speech Using Single Pole Filter

Epoch extraction from speech involves the suppression of vocal tract resonances, either by linear prediction based inverse filtering or filtering at very low frequency. Degradations due to channel effect and significant attenuation of low frequency components ($<$300 Hz) create challenges for the epoch extraction from telephone quality speech. An epoch extraction method is proposed that considers the vertical striations present in the time-frequency representation of voiced speech as the representative candidates for the epochs. Time-frequency representation with better localized vertical striations is estimated using single pole filter based filter bank. The time marginal of time-frequency representation is computed to locate the epochs. The proposed algorithm is evaluated on the database of five speakers, which provide simultaneous speech and electroglottographic recordings. Telephone quality speech is simulated using G.191 software tools. The identification rate of the state-of-the-art methods degrades substantially for the telephone quality speech whereas that of the proposed method remains the same, comparable to that of clean speech.
Next photo please: towards visually consistent sequential photo browsing

Sequential photo browsing has become the most important function in the desktop and online image repository management systems, where existing systems typically display the photos in default orders such as the lexicographic order of the photo filename or the chronological order of the photo taken time. However, these browsing orders, especially when the browsing speed is fast, ignore the vision persistency characteristic of human visual systems, which results in inconsistent visual experience for photo viewers. To address this issue, we construct a photo relationship graph based on various kinds of visual features that complementarily reflect human visual perception. Then the seeking of visually consistent photo browsing sequence is cast into a traveling salesman problem which seeks an optimal path with minimum visual distance within the graph structure. Experiment results on sequential browsing of Flickr photo groups indicate that the proposed method clearly beats the other sequential photo browsing methods in terms of visual consistency.
Semantic Framework for Rudder Middleware Infrastructure

Rudder is a generative agent-based middleware with intelligent deductive capabilities and effective coordination services for Grid autonomic applications. It provides a coordination environment to develop and enable self-managing systems, adopting multi-agent based management and reactive tuple space coordination technology. Rudder employs context-aware agent mechanism and tuple space coordination technology to enable system context and self awareness, monitor and analyze, police definition and distributed execution. This paper provides the semantic framework for Rudder operational semantics and system behavior, in which the reactive tuple space is considered as fucus design abstraction. The goal of the framework is to provide a precise specification of the system transition and run time state to help understand the system design and implementation, opening the possibility of using verification techniques to analysis the system run time behavior.
Abstraction in Control Learning

ARRAY(0x8475700) to induce abstract classes of state tasks. The second approach seeks to learn such state classes by constructing hierarchical connectionist networks whose units act as abstract features or concepts. Both approaches are designed to facilitate control over memory resources, allowing learning to accelerate from early rote memorization to more globally-scaled generalization.
A Five-Country Evaluation of a Point-of-Care Circulating Cathodic Antigen Urine Assay for the Prevalence of Schistosoma mansoni

We evaluated a commercial point-of-care circulating cathodic antigen (POC-CCA) test for assessing Schistosoma mansoni infection prevalence in areas at risk. Overall, 4,405 school-age children in Cameroon, Côte d'Ivoire, Ethiopia, Kenya, and Uganda provided urine for POC-CCA testing and stool for Kato-Katz assays. By latent class analysis, one POC-CCA test was more sensitive (86% versus 62%) but less specific (72% versus ∼100%) than multiple Kato-Katz smears from one stool. However, only 1% of POC-CCA tests in a non-endemic area were false positives, suggesting the latent class analysis underestimated the POC-CCA specificity. Multivariable modeling estimated POC-CCA as significantly more sensitive than Kato-Katz at low infection intensities (< 100 eggs/gram stool). By linear regression, 72% prevalence among 9–12 year olds by POC-CCA corresponded to 50% prevalence by Kato-Katz, whereas 46% POC-CCA prevalence corresponded to 10% Kato-Katz prevalence. We conclude that one urine POC-CCA test can replace Kato-Katz testing for community-level S. mansoni prevalence mapping.
A small gadget for user generated live streaming

Recently, many live streaming services for user generated contents (UGC) have started. The users often apply laptop computers to deliver their generated live streams via the Internet. However, to start live streaming with laptop computers, the users are required troublesome processes. Hence, in this paper, we propose a small gadget for user generated live streaming. Our proposed gadget is different from laptop computers and do not require troublesome processes to the users. Also, we developed a prototype of our proposed gadget.
Endotoxin Induces Toll-Like Receptor 4 Expression in Vascular Smooth Muscle Cells via NADPH Oxidase Activation and Mitogen-Activated Protein Kinase Signaling Pathways

Objective—Toll-like receptor 4 (TLR4) plays a major role mediating endotoxin-induced cellular inflammation and regulates vascular smooth muscle cell (VSMC) proliferation, which is related to atherogenesis and restenosis. This study was conducted to investigate the mechanisms involved in lipopolysaccharide (LPS)-induced TLR4 expression in VSMCs. Methods and Results—Stimulation of human aortic smooth muscle cells (HASMCs) with LPS significantly increased TLR4 expression. The increase was regulated by nicotinamide adenine dinucleotide phosphate (NADPH) oxidase (including the activation of subunits p47phox and Rac1), which mediates the production of reactive oxygen species and the activation of intracellular mitogen-activated protein kinase signaling pathways. Treatment with polyethylene-glycol-conjugated superoxide dismutase, N-acetylcysteine (NAC), diphenylene iodonium (DPI), or apocynin significantly decreased LPS-induced TLR4 expression. An actinomycin D chase experiment showed that LPS increased the half-life of TLR4 mRNA. Inhibition of NADPH oxidase activity by DPI, apocynin, or NAC significantly decreased TLR4 mRNA stability, as did the knock-down of RAC1 gene expression by RNA interference. We also demonstrated in an animal model that LPS administration led to a significant elevation of balloon-injury–induced neointimal hyperplasia, and of TLR4 expression, in rabbit aorta. Conclusion—These findings suggest that NADPH oxidase activation, mRNA stabilization, and MAPK signaling pathways play critical roles in LPS-enhanced TLR4 expression in HASMCs, which contributes to vascular inflammation and cardiovascular disorders.
Investigation of the Relationship between Parental Attitudes and Children's Receptive and Expressive Language Skills

The purpose of the current study is to determine the relationship between parental attitudes and children's receptive and expressive language skills. In the current study investigating the relationship between parental attitudes and children's expressive and receptive language skills, the relational survey model; one of the survey models, was employed. The universe of the study is comprised of 5-6 years old children attending pre-school education institutions in the city of Kars and their parents. The sampling of the study consists of 165 children selected by means of the convenience sampling method and their parents. According to the findings of the current study, there is no significant relationship between the children's gender and their language development. There is a significant relationship between the children's perceptive and expressive language skills and their age and the number of siblings. There is no significant relationship between parents' attitudes and both the gender of the child and the gender of parents. Yet, the relationship between the number of children and parents' attitudes is significant. A significant relationship was found between democratic and authoritarian parental attitudes and children's language development.
Stability of Diffusion Direction Based Thalamus Segmentation

Introduction: The segmentation of sub-structures in deep gray matter regions, for example the thalamus, is not possible on standard T1 or T2 weighted MR images, because there, these regions have homogeneous signal intensity. In contrast diffusion tensor MR-imaging (DTI) data provides strong variations, especially within the thalamus. These variations can be used for segmentation of different thalamic sub-structures (see for example [1-3]). The methods proposed by Wiegell et al [1] and Behrens et al [2] require considerable prior knowledge, processing time, and/or manual segmentation. The method proposed by Unrath et al [3] relies solely on the evaluation of the principal diffusion direction. Even though this last method is very simple in comparison with the two other approaches the segmentation results can clearly identify several thalamic sub-structures. We evaluated this diffusion direction based method in a group study on 53 healthy volunteers to show the quality and reproducibility of the results of this simple and fast segmentation method. Methods: Segmentation: In the segmentation we did classify each voxel according to the orientation of the principal diffusion direction, which is the eigenvector corresponding to the largest eigenvalue of the diffusion tensor. Nine segmentation classes were defined to correspond with color regions that were placed symmetrically in eight quadrants on the unit sphere as shown in Figure 1 [3]. The principal diffusion direction is projected onto this color-sphere to determine the segmentation class and the corresponding coloring. Data: DTI data and T1 weighted images were acquired for 53 healthy volunteers (27 male and 26 female) between 20 and 43 years old (mean 26.49 years +/5.36; females: mean 25.31 years +/4.47) on a 1.5T MRScanner (Sonata, Siemens, Erlangen, Germany) after written informed consent. Each DTI data set did consist of twelve diffusion weighted images and an unweighted image with a b-value of 800s/mm. The resolution of
From Field Notes towards a Knowledge Base

We describe the process of converting plain text cultural heritage data to elements of a domain-specific knowledge base, using general machine learning techniques. First, digitised expedition field notes are segmented and labelled automatically. In order to obtain perfect records, we create an annotation tool that features selective sampling, allowing domain experts to validate automatically labelled text, which is then stored in a database. Next, the records are enriched with semi-automatically derived secondary metadata. Metadata enable fine-grained querying, the results of which are additionally visualised using maps and photos.
From Questions to Needs : Extracting Actionable Need Knowledge from the Web

The Web has become a source of information and knowledge accessed through search engines and various mining tools. In addition, it has become a platform on which not only software but also human users participate in and interact for various tasks. In an effort to mine actionable knowledge from the Web associated with various objects, we devised a text mining method specifically for extracting the actions often applied to various interest-triggering objects. Since the actions are extracted from how questions, they are considered needs or actions to be taken for the objects. We show that relatively simple yet powerful pattern matching techniques applied to the Web, in conjunction with the ODP taxonomy, can result in actionable need knowledge of high quality for a set of interest-triggering objects. To evaluate the quality of the extracted knowledge, we conducted two different types of testing: a controlled experiment with a small number of judges for desirability and an open experiment with the general public for comprehensibility.
Identification and developmental expression of a novel low molecular weight neuronal intermediate filament protein expressed in Xenopus laevis

Xenopus laevis is a valuable model system for the study of vertebrate neuroembryogenesis. However, very few well-characterized nervous system- specific molecular markers are available for studies in this organism. We screened a X. laevis adult brain cDNA library using a cDNA probe for mouse low molecular weight neurofilament protein (NF-L) in order to identify neuron-specific intermediate filament proteins. Clones for two distinct neuron-specific intermediate filament proteins were isolated and sequenced. One of these encoded for a Xenopus NF-L (XNF-L) and the other for a novel neuron-specific Xenopus intermediate filament protein (XNIF) that was present earlier and more abundantly than XNF-L during development. XNIF contained a central rod domain with multiple sequence features characteristic of IF proteins. The XNF-L was very similar to mouse NF-L, with a 77% sequence identity in the rod domain and the presence of a polyglutamic acid region in the tail domain, characteristic of type IV neurofilament proteins. In contrast, XNIF showed only 60% identity to mouse NF-L in the rod domain and lacked the glutamic acid-rich sequence in the tail domain. XNIF also had a very low (approximately 38%) sequence identity in the head and tail domains as compared to NF-L and other neurofilament proteins (45% identity to the head domain of alpha-internexin). In the adult frog, XNIF mRNA is detected by Northern blots only within the nervous system and by in situ hybridization histochemistry exclusively in neurons, particularly in the medullary reticular system and spinal cord. Antisera raised against the unique tail region of XNIF detected a single distinct 60 kDa band in Western blots of nervous system cytoskeletal preparations, and this XNIF immunoreactivity was concentrated in axons in the PNS and in small perikarya in the dorsal root ganglion. In contrast, NF-L immunoreactivity was principally in the large perikarya in the dorsal root ganglion. In development, XNIF mRNA appears more abundant than XNF- L mRNA in all premetamorphic stages examined. XNIF mRNA is first detectable at stage 24 (26 hr), whereas stable expression of XNF-L is at stage 35/36 (50 hr). XNIF immunoreactivity is detectable within the cement gland, within many neuronal cell bodies and axon tracts within the developing nervous system, and within all cellular layers of the developing retina. The availability of these two distinct neuron- specific intermediate filament proteins, with different temporal and spatial expression patterns, should provide new markers as well as targets for functional perturbation in the developing X. laevis nervous system.
Efficient Signature Schemes from R-LWE

Compared to the classical cryptography, lattice-based cryptography is more secure, flexible and simple, and it is believed to be secure against quantum computers. In this paper, an efficient signature scheme is proposed from the ring learning with errors (R-LWE), which avoids sampling from discrete Gaussians and has the characteristics of the much simpler description etc. Then, the scheme is implemented in C/C++ and makes a comparison with the RSA signature scheme in detail. Additionally, a linearly homomorphic signature scheme without trapdoor is proposed from the R-LWE assumption. The security of the above two schemes are reducible to the worst-case hardness of shortest vectors on ideal lattices. The security analyses indicate the proposed schemes are unforgeable under chosen message attack model, and the efficiency analyses also show that the above schemes are much more efficient than other correlative signature schemes.
Quantitative concentration inequalities on sample path space for mean field interaction

We consider the approximation of a mean field stochastic process by a large interacting particle system. We derive non-asymptotic large deviation bounds measuring the concentration of the empirical measure of the paths of the particles around the law of the process. The method is based on a coupling argument, strong integrability estimates on the paths in Holder norm, and a general concentration result for the empirical measure of identically distributed independent paths.
The Moose Reengineering Environment

• It supports reengineering of applications developed in different object-oriented languages, as its core model is language independent which, if needed, can be customized to incorporate language specific features. • It is extensible. New entities like measurements or special-purpose relationships can be added to the environment. • It supports reengineering by providing facilities for analysing and storing multiple models, for refactoring and by providing support for analysis methods such as metrics and the inference of properties of source code elements. • With its fully object-oriented implementation, Moose provides a complete description of the metamodel elements in terms of objects that are easily parameterised, extended or manipulated. These properties make Moose an ideal foundation for reengineering tools such as CodeCrawler [DDL99] or Supremo [KN01]. These, and other, tools are discussed in section 8.
Acoustic prepulse inhibition: One ear is better than two, but why and when?

We examined whether monaural prepulses produce more prepulse inhibition (PPI) because they might be more attention capturing (unambiguous to locate) than binaural prepulses. Monaural and binaural PPI was tested under normal and verbal and visuospatial attention manipulation conditions in 55 healthy men, including 29 meditators. Attention manipulations abolished monaural PPI superiority, similarly in meditators and meditation-naïve individuals, and this was most strongly evident for right ear PPI under visuospatial attention manipulation. Meditators performed better than meditation-naïve individuals on attention tasks (verbal: more targets detected; visuospatial: faster reaction time). Spatial attention processes contribute to monaural PPI, particularly with the right ear. Better attentional performance, with similar attentional modulation of PPI, may indicate a stronger attentional capacity in meditators, relative to meditation-naïve individuals.