Miracle-dz/UniFAR-FTUs huggingface dataset:
Bilayer Elasticity at the Nanoscale: The Need for New Terms

Continuum elastic models that account for membrane thickness variations are especially useful in the description of nanoscale deformations due to the presence of membrane proteins with hydrophobic mismatch. We show that terms involving the gradient and the Laplacian of the area per lipid are significant and must be retained in the effective Hamiltonian of the membrane. We reanalyze recent numerical data, as well as experimental data on gramicidin channels, in light of our model. This analysis yields consistent results for the term stemming from the gradient of the area per molecule. The order of magnitude we find for the associated amplitude, namely 13–60 mN/m, is in good agreement with the 25 mN/m contribution of the interfacial tension between water and the hydrophobic part of the membrane. The presence of this term explains a systematic variation in previously published numerical data.
Oblivious Lookup-Tables

Abstract Evaluating arbitrary functions on encrypted data is one of the holy grails of cryptography, with Fully Homomorphic Encryption (FHE) being probably the most prominent and powerful example. FHE, in its current state is, however, not efficient enough for practical applications. On the other hand, simple homomorphic and somewhat homomorphic approaches are not powerful enough to support arbitrary computations. We propose a new approach towards a practicable system for evaluating functions on encrypted data. Our approach allows to chain an arbitrary number of computations, which makes it more powerful than existing efficient schemes. As with basic FHE we do not encrypt or in any way hide the function, that is evaluated on the encrypted data. It is, however, sufficient that the function description is known only to the evaluator. This situation arises in practice for software as a Software as a Service (SaaS)-scenarios, where an evaluator provides a function only known to him and the user wants to protect his data. Another application might be the analysis of sensitive data, such as medical records. In this paper we restrict ourselves to functions with only one input parameter, which allow arbitrary transformations on encrypted data.
A Study of the Reliability and Validity of Millon Clinical Multiaxial Inventory III (MCMI-III)

Objective: To translate Millon Clinical Multiaxial Inventory Ⅲ (MCMI-Ⅲ) into Chinese, and then test its reliability and validity. Methods: MCMI-Ⅲ was administered to patients with mental disorders and normal people. Some subjects completed SAS, SDS, HAMA and HAMD simultaneously. 7-14 days later, some subjects completed the Chinese version of MCMI-Ⅲ again. Results: Cronbach’s alpha and the split-half reliability of MCMI-Ⅲ was 0.957 and 0.919, respectively. The mean Cronbach’s alpha, split -half and test -retest reliability of the subscales were 0.72, 0.70, 0.71 respectively. Most of the items correlated significantly (P 0.05,P 0.01) with corresponding subscales. Most of the subscales correlated significantly (P0.05,P0.01) with each other; SAS, SDS, HAMA and HAMD correlated significantly (P 0.05,P 0.01) with corresponding subscales. Most of the subscales’ scores of the patient group were significantly different (P 0.05,P 0.01) from the control group (n =45). Conclusion: The Chinese version of MCMI -Ⅲ meets psychometric criterions, and it has good reliability and validity.
Energy Consumption and Garbage Collection in Low-Powered Computing ; CU-CS-930-02

We have measured the energy efficiency of different memory management strategies on a high performance pocket computer. We conducted our study by measuring the energy consumption of eight C programs with four different memory management strategies each. The memory management strategies are: no deallocation, explicit deallocation, conservative mark-and-sweep garbage collection, and conservative mark-and-sweep incremental garbage collection. Our measurements show that different memory management strategies have very different energy requirements. In the most extreme case, one program consumed 40 times as much energy with incremental garbage collection than with explicit deallocation. We demonstrate that, although overall energy use is strongly correlated with execution time, the processor and peripheral energies separately do not correlate well with execution time.
Assimilation of surface NO 2 and O 3 observations into the SILAM chemistry transport model

Abstract. This paper describes the assimilation of trace gas observations into the chemistry transport model SILAM (System for Integrated modeLling of Atmospheric coMposition) using the 3D-Var method. Assimilation results for the year 2012 are presented for the prominent photochemical pollutants ozone (O3) and nitrogen dioxide (NO2). Both species are covered by the AirBase observation database, which provides the observational data set used in this study. Attention was paid to the background and observation error covariance matrices, which were obtained primarily by the iterative application of a posteriori diagnostics. The diagnostics were computed separately for 2 months representing summer and winter conditions, and further disaggregated by time of day. This enabled the derivation of background and observation error covariance definitions, which included both seasonal and diurnal variation. The consistency of the obtained covariance matrices was verified using χ2 diagnostics. The analysis scores were computed for a control set of observation stations withheld from assimilation. Compared to a free-running model simulation, the correlation coefficient for daily maximum values was improved from 0.8 to 0.9 for O3 and from 0.53 to 0.63 for NO2.
A Novel Approach of Steganography using Hill Cipher

In the modern technological world, where data or image transfer through the internet has gained utmost importance, security of the data has become a major issue. We use cryptography for the security of the above mentioned data. By the help of cryptography, we convert plain text into cipher text, or data that is unreadable to the attacker. Another approach is to hide data in image and then send it to the receiver. This is known as steganography. Various approaches of steganography has been discovered earlier, which includes changing of data in pixels with the data that the sender needs to send. In the discussed approach, we will also find out the pixel matrix of an image, but we will multiply the found out matrix with a cipher matrix. In this way, we will convert the original image into encrypted image and then subject it to communication. Keyword Cipher, Cipher text, Cryptography, Decryption, Encryption, Matrix, Plaintext.
On the linear stability of solitons and hairy black holes with a negative cosmological constant: the even-parity sector

Using a recently developed perturbation formalism based on curvature quantities, we complete our investigation of the linear stability of black holes and solitons with Yang–Mills hair and a negative cosmological constant. We show that those solutions which have no linear instabilities under odd- and even-parity spherically symmetric perturbations remain stable under even-parity, linear, non-spherically symmetric perturbations. Together with the result from a previous work, we have therefore established the existence of stable hairy black holes and solitons with anti-de Sitter asymptotic.
Sustainability in software engineering: A systematic literature review

Background: Supporting sustainability in software engineering is becoming an active area of research. We want to contribute the first Systematic Literature Review(SLR) in this field to aid researchers who are motivated to contribute to that topic by providing a body of knowledge as starting point, because we know from own experience, this search can be tedious and time consuming. Aim: We aim to provide an overview of different aspects of sustainability in software engineering research with regard to research activity, investigated topics, identified limitations, proposed approaches, used methods, available studies, and considered domains. Method: The applied method is a SLR in five reliable and commonly-used databases according to the (quasi-standard) protocol by Kitchenham et al. [1]. We assessed the 100 first results of each database ordered by relevance with respect to the search query. Results: Of 500 classified publications, we regard 96 as relevant for our research questions. We sketch a taxonomy of their topics and domains, and provide lists of used methods and proposed approaches. Most of the excluded publications were ruled out because of an unfitting usage of terms within the search query. Conclusions: Currently, there is little research coverage on the different aspects of sustainability in software engineering while other disciplines are already more active. Future work includes extending the study by reviewing a higher number of publications, including dedicated journal and workshop searches, and snowballing.
Minimization of Reactive Power Using Particle Swarm Optimization

This paper presents an efficient and reliable Particle Swarm Optimization (PSO) algorithm for solving Reactive power optimization including voltage deviation in Power System. Voltage deviation is the capability of a power system to maintain up to standard voltages at all buses in the system under standard conditions and under being subjected to a disturbance. Reactive power optimization is a complex combinatorial programming problem that reduces power loses and improves voltage profiles in a power system. To overcome this shortcoming, a multiobjective particle swarm optimization is proposed and applied in reactive power optimization on IEEE-30 bus, Here the RPO problem has been formulated as a constrained multi-objective optimization problem by combining of two objective functions (real power loss and voltage profile improvement) linearly shows that the particle swarm optimization more effectively solve the reactive power optimization problem in power system.
Movie Scene Classification Using Hidden Markov Model

Movie is a kind of complex video with rich content. The analysis of movie is more complicated than other types of videos like surveillance, sport games, and documentaries. In this paper, a statistical approach using hidden Markov model to classify movie scenes is proposed. Two important kinds of movie scenes, dialogue and fighting scenes, are classified. Color and motion features are extracted for each frame. Features of all frames within a scene are regarded as a time series of observations that are statistically modeled by Gaussian mixture ergodic hidden Markov model. Two movies with 41 dialogue scenes and 15 fighting scenes are experimented. The highest accuracy rate can achieve 80%.
Labeling by landscaping: classifying tokens in context by pruning and decorating trees

State-of-the-art approaches to token labeling within text documents typically cast the problem either as a classification task, without using complex structural characteristics of the input, or as a sequential labeling task, carried out by a Conditional Random Field (CRF) classifier. Here we explore principled ways for structure to be brought to bear on the task. In line with recent trends in statistical learning of structured natural language input, we use a Support Vector Machine (SVM) classification framework deploying tree kernels. We then propose tree transformations and decorations, as a methodology for modeling complex linguistic phenomena in highly multi-dimensional feature spaces. We develop a general purpose tree engineering framework, which enables us to transcend the typically complex and laborious process of feature engineering. We build kernel based classifiers for two token labeling tasks: fine-grained event recognition, and lexical answer type detection in questions. For both, we show that in comparison with a corresponding linear kernel SVM, our method of using tree kernels improves recognition, thanks to appropriately engineering tree structures for use by the tree kernel. We also observe significant improvements when comparing with a CRF-based realization of structured prediction, itself performing at levels comparable to state-of-the-art.
Uncovering analogness and digitalness in interactive media

In this paper we analyze the works of the Keio-NUS CUTE Center at the National University of Singapore in order to uncover the dispositions of "analogness" and "digitalness" in regards to the relationship between users and interfaces. By comparing concepts of embodiment from a philosophical perspective, paired with the computer science treatment of analog and digital data, we derive a contingent definition for analog-like and digital-like interaction. With case studies as reference, we outline a continuum to describe types of interfaces based on these dispositions, which could then be further analyzed using characteristics for designing analog-like, digital-like or hybrid-like interactive systems. Finally, we propose a new methodology for designing novel interactive systems that are analog in nature, called interactive analog media (IAM).
Lack of Detectable HIV-1–Specific CD8+ T Cell Responses in Zambian HIV-1–Exposed Seronegative Partners of HIV-1–Positive Individuals

Human immunodeficiency virus type 1 (HIV-1)–specific T cell responses were characterized in a blinded study involving infected individuals and their seronegative exposed uninfected (EU) partners from Lusaka, Zambia. HIV-1–specific T cell responses were detected ex vivo in all infected individuals and amplified, on average, 27-fold following in vitro expansion. In contrast, no HIV-1–specific T cell responses were detected in any of the EU partners ex vivo or following in vitro expansion. These data demonstrate that the detection of HIV-1–specific T cell immunity in EU individuals is not universal and that alternative mechanisms may account for protection in these individuals.
Area and frequency optimized 1024 point Radix-2 FFT processor on FPGA

This paper presents a Fast Fourier Transform (FFT) processor optimized for both `area' and `frequency'. The processor architecture is deeply pipelined Radix-2 butterfly unit, 1024 point, 64bit Fixed Point input with 32bit real and 32bit imaginary, Decimation In Time (DIT) FFT processor on Field Programmable Gate Array (FPGA). The proposed architecture is based on Dual RAM Ping-Pong Burst I/O with efficient addressing techniques which clocks at 385.804MHz on Xilinx Virtex-6 xc6vlx550t-2ff1759 taking 16. 376μs to calculate one set of 1024 point FFT.
Water quality and water-use conflicts in Lake Taabo (Ivory Coast)

The Lake Taabo (Ivory Coast, Africa) results of the construction of the Taabo dam on the Ban- dama River. The changes in the water level of the 69-kmÂ² lake depend on 1) the rainfall linked to alternating dry/wet seasons; 2) the extraction of water for human uses; 3) the discharge of water from the upstream dam and the volumes tur- bined by the Kossou dam; 4) the various an- thropic effects (discharge of untreated waste water from towns and industries, and leaching from agricultural land). The average concentra- tions of nutrients (NH4-N: 1.1 mg/L, NO3-N: 1.62 mg/L, PO4-P: 10 mg/L, SiO2: 15 mg/L) and chlo- rophyll a (from 4.8 to 16.5 I¼g/L, average 11.4 I¼g/L) indicates some degree of eutrophication. The cumulated effects that threaten the ecosys- tem (degradation of water quality and eutrophi- cation) are such that they are likely to interfere with various water uses. In a context of growing health and environmental concerns in Africa, this study demonstrates conflicts between dif- ferent uses of this water resource and the urgent need for an appropriate policy including specific monitoring of lake water quality, wastewater control, and a programme to reduce agricultural fertilizers.
POMP — Pervasive Object Model Project Position Paper for MOS ’ 03 ( ECOOP ’ 03 Workshop )

The focus on mobile devices is continuously increasing, and improved device connectivity enables the construction of pervasive computing systems composed of heterogeneous collections of devices. Users who employ different devices throughout their daily activities naturally expect their applications to be available in some form on whatever device they are currently using. Virtual machines for mainstream languages such as Java provide some degree of platform independence (platforms such as J2ME only provide a limited subset of the complete functionality), but do not intrinsically support application mobility. Mobile agent platforms are often based on such virtual machines [10, 16, 2, 3, 1], but typically do not provide strong mobility (the ability to migrate at any program point), and have limited support for multi-threaded applications, although there are exceptions [13]. For a virtual machine to support mobile applications, we consider it essential that a standard object-oriented style of programming can be used for those parts of the application that do not concern its mobility. This position paper describes an ongoing effort to implement a language and a virtual machine for applications that execute in a pervasive computing environment. This system, named POM (Pervasive Object Model), supports applications split into coarse-grained, strongly mobile units that communicate using method invocations through proxies. We are currently investigating efficient execution of mobile applications, scalability to suit the availability of local resources (primarily for interaction with the user), and language design issues.
Classification of emotion from EEG using hybrid radial basis function networks with elitist PSO

Emotion play an important role at several activities in the present world. Human decision making, cognitive process and interaction between human & machine all the activities depends on human emotions. Facial expression, musical activities and several approaches used to find the human emotions. In this paper EEG is used to find the accurate emotion. Emotion classification is the huge task. Classification of the human emotion is a process that merges the feature selection and provides the class labels for the data. The proposed work has four stages which include preprocessing, feature extraction, feature selection and classification. This paper uses a Radial Basis Function Network with trained by Evolution algorithm and particle Swarm Optimization is used to select the particular features in the feature selection process. The result of the network will classify the human emotions into arousal and valence emotion. Based on the classification, different emotion level accuracy has to be validated.
On the positivity of polynomials on the complex unit disc via LMIs

Investigating positivity of polynomials over the complex unit disc is a relevant problem in electrical and computer engineering. This paper provides two sufficient and necessary conditions for solving this problem via linear matrix inequalities (LMIs). These conditions are obtained by exploiting trigonometric transformations, a key tool for the representation of polynomials, and results from the theory of positive polynomials. Some numerical examples illustrate the proposed conditions.
The effect of chemical modifications on the thermal stability of different G-quadruplex-forming oligonucleotides

A systematic study of the thermal and conformational properties of chemically modified G-quadruplexes of different molecularities is reported. The effect of backbone charge and atom size, thymine/uracyl substitution as well as the effect of modification at the ribose 2′-position was analyzed by UV spectroscopy. Additional calorimetric studies were performed on different modified forms of the human telomeric sequence. Determination of the differential spectra allowed more insights into the conformational properties of the oligonucleotides. Lack of negative charge at the phosphate backbone yielded to a general destabilization of the G-quadruplex structure. On the other hand, substitution of thymine with uracyl resulted in a moderate or strong stabilization of the structure. Additional modification at the sugar 2′-position gave rise to different effects depending on the molecularity of the quadruplex. In particular, loss of hydrogen bond capacity at the 2′-position strongly affected the conformation of the G-quadruplex. Altogether, these results demonstrate that the effect of some modifications depends on the sequence context, thus providing helpful information for the use of chemically modified quadruplexes as therapeutic agents or as structural elements of supramolecular complexes.
A Framework for Social Network of Researchers Analysis

Abstract. Nowadays, a huge amount of data is available on the Web. One of the big challenges for Computer Science is how to help to select, organize and summarize this data. This paper presents an initiative in this direction in order to help researchers and commissions or foundations for research to access relevant information about researchers’ groups. The approach developed combines Social Network Analysis, Graph Theory and Knowledge Discovery techniques to identify, organize, manage, visualize and summarize information about a Social Network of Researchers.
PLGA nanoparticle-mediated delivery of tumor antigenic peptides elicits effective immune responses

The peptide vaccine clinical trials encountered limited success because of difficulties associated with stability and delivery, resulting in inefficient antigen presentation and low response rates in patients with cancer. The purpose of this study was to develop a novel delivery approach for tumor antigenic peptides in order to elicit enhanced immune responses using poly(DL-lactide-co-glycolide) nanoparticles (PLGA-NPs) encapsulating tumor antigenic peptides. PLGA-NPs were made using the double emulsion-solvent evaporation method. Artificial antigen-presenting cells were generated by human dendritic cells (DCs) loaded with PLGA-NPs encapsulating tumor antigenic peptide(s). The efficiency of the antigen presentation was measured by interferon-γ ELISpot assay (Vector Laboratories, Burlingame, CA). Antigen-specific cytotoxic T lymphocytes (CTLs) were generated and evaluated by CytoTox 96® Non-Radioactive Cytotoxicity Assay (Promega, Fitchburg, WI). The efficiency of the peptide delivery was compared between the methods of emulsification in incomplete Freund’s adjuvant and encapsulation in PLGA-NPs. Our results showed that most of the PLGA-NPs were from 150 nm to 500 nm in diameter, and were negatively charged at pH 7.4 with a mean zeta potential of −15.53 ± 0.71 mV; the PLGA-NPs could be colocalized in human DCs in 30 minutes of incubation. Human DCs loaded with PLGA-NPs encapsulating peptide induced significantly stronger CTL cytotoxicity than those pulsed with free peptide, while human DCs loaded with PLGA-NPs encapsulating a three-peptide cocktail induced a significantly greater CTL response than those encapsulating a two-peptide cocktail. Most importantly, the peptide dose encapsulated in PLGA-NPs was 63 times less than that emulsified in incomplete Freund’s adjuvant, but it induced a more powerful CTL response in vivo. These results demonstrate that the delivery of peptides encapsulated in PLGA-NPs is a promising approach to induce effective antitumor CTL responses in vivo.