Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive estimates of egocentric distance from vergence in telestereoscopic viewing: Von Hofsten's model revisited

von Hofsten proposed a model for explaining how the perception of egocentric distance is affected by vergence angle. According to his model, binocular distance estimation relies on the difference between vergence response and rest vergence, rather than on absolute vergence angle. We applied this model to the data obtained in a study on adaptation to telestereoscopic viewing. Such an optical distortion, found in some novel stereo displays, calls for a change in the relationship between vergence and perceived distance, as well as in the level of rest vergence. We sought to investigate any changes in the model coefficients during and after exposure. The model testing corroborated the observation of distinct visual adaptive mechanisms, for the two different exposure conditions of the study.
Joint Resource Allocation for Multicasting in HetNets

Both heterogeneous networks (HetNets) and multicasting are key technologies for 5G wireless systems. In this paper, we investigate the joint resource allocation scheme for multicasting in HetNets. The objective is to maximize the system throughput achieved by multicast users subject to the transmit power budgets of BSs. We mathematically formulate the resource allocation scheme to an optimization problem with nonsmooth objective. We first transfer the nonsmooth objective function to an equivalent constraint, and then decompose the problem to subchannel assignment as well as power allocation subproblems to reduce the complexity. Algorithms with lower complexity are developed to find suboptimal solutions of these subproblems. Simulation results verify that our resource allocation scheme achieves higher multicast throughput than existing schemes and the iterative algorithms converge rapidly.
Hodgkin lymphoma risk: Role of genetic polymorphisms and gene–gene interactions in DNA repair pathways

DNA repair variants may play a potentially important role in an individual's susceptibility to developing cancer. Numerous studies have reported the association between genetic single nucleotide polymorphisms (SNPs) in DNA repair genes and different types of hematologic cancers. However, to date, the effects of such SNPs on modulating Hodgkin lymphoma (HL) risk have not yet been investigated. We hypothesized that gene–gene interaction between candidate genes in direct reversal, nucleotide excision repair (NER), base excision repair (BER) and double strand break (DSB) pathways may contribute to susceptibility to HL. To test this hypothesis, we conducted a study on 200 HL cases and 220 controls to assess associations between HL risk and 21 functional SNPs in DNA repair genes. We evaluated potential gene–gene interactions and the association of multiple polymorphisms in a chromosome region using a multi‐analytic strategy combining logistic regression, multi‐factor dimensionality reduction and classification and regression tree approaches. We observed that, in combination, allelic variants in the XPC Ala499Val, NBN Glu185Gln, XRCC3 Thr241Me, XRCC1 Arg194Trp, and XRCC1 399Gln polymorphisms modify the risk for developing HL. Moreover, the cumulative genetic risk score revealed a significant trend where the risk for developing HL increases as the number of adverse alleles in BER and DSB genes increase. These findings suggest that DNA repair variants in BER and DSB pathways may play an important role in the development of HL. © 2011 Wiley Periodicals, Inc.
Attenuation of microRNA-1 derepresses the cytoskeleton regulatory protein twinfilin-1 to provoke cardiac hypertrophy

MicroRNAs are involved in several aspects of cardiac hypertrophy, including cardiac growth, conduction, and fibrosis. However, their effects on the regulation of the cardiomyocyte cytoskeleton in this pathological process are not known. Here, with microRNA microarray and small RNA library sequencing, we show that microRNA-1 (miR-1) is the most abundant microRNA in the human heart. By applying bioinformatic target prediction, a cytoskeleton regulatory protein twinfilin-1 was identified as a potential target of miR-1. Overexpression of miR-1 not only reduced the luciferase activity of the reporter containing the 3′ untranslated region of twinfilin-1 mRNA, but also suppressed the endogenous protein expression of twinfilin-1, indicating that twinfilin-1 is a direct target of miR-1. miR-1 was substantially downregulated in the rat hypertrophic left ventricle and phenylephrine-induced hypertrophic cardiomyocytes, and accordingly, the protein level of twinfilin-1 was increased. Furthermore, overexpression of miR-1 in hypertrophic cardiomyocytes reduced the cell size and attenuated the expression of hypertrophic markers, whereas silencing of miR-1 in cardiomyocytes resulted in the hypertrophic phenotype. In accordance, twinfilin-1 overexpression promoted cardiomyocyte hypertrophy. Taken together, our results demonstrate that the cytoskeleton regulatory protein twinfilin-1 is a novel target of miR-1, and that reduction of miR-1 by hypertrophic stimuli induces the upregulation of twinfilin-1, which in turn evokes hypertrophy through the regulation of cardiac cytoskeleton.
Influence of shape and texture features on facial expression recognition

Shape and texture features provide a novel framework for expression recognition by using salient landmarks based triangle initialisation and identification of texture regions. Detection of effective landmarks is achieved by well-known appearance-based model to form a grid. Accordingly, several triangles are identified within the grid with respect to the nose landmark reference point. These salient landmarks are also used to find the texture regions. Normalised shape and texture signatures are derived from triangles and texture regions. Stability indices are determined from shape and texture signatures which are also exploited as significant features for recognition of facial expressions. Statistical measures such as range, moment, skewness, kurtosis, and entropy are used to supplement the feature set. Individual and combined features are fed into multilayer perceptron and deep belief network (DBN) network to classify different expression categories encompassing anger, sadness, fear, disgust, surprise, and happiness. The authors investigated the performance of their proposed system on Cohn-Kanade, JAFFE, MMI, MUG, and Wild face benchmark databases. Thorough experimentation establishes the performance superiority of the proposed methodology over other existing competitors. Combining features is also validated through extensive results and analyses.
GC/MS Based Metabolite Profiling and Antioxidant Activity of Balkan and Bulgarian Endemic Plants

Balkan and Bulgarian endemic plants Viola rhodopaea Becker (Violaceae), Veronica rhodopaea (Velen.) Degen ex Stoj. & Stefanov (Plantaginaceae), Silene roemeri Friv. (Caryophyllaceae), Jasione bulgarica Stoj. & Stef and Campanula lanata Friv. (Campanulaceae) were examined. Metabolite profiles of methanolic extracts of studied species were analyzed by GC/MS and HPTLC. Total flavonoid and phenol contents were determined by aluminum chloride (AlCl3) and Folin-Ciocalteu’s reagent, respectively. Antioxidant potential of the extracts was assayed by DPPH test. Fatty acids and alcohols, phenolic and organic acids, flavonoid aglycones and glycosides, sterols and carbohydrates were identified. Jasione bulgarica and Viola rhodopaea extracts were determined to have the highest flavonoid and phenol content. Significant radical scavenging activity was estimated for the extracts of J. bulgarica , Veronica rhodopaea and Viola rhodopaea . The present information of chemical composition and antiradical potential of studied species are reported for the first time. 120 Normal 0 21 false false false HR X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Obicna tablica"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:8.0pt; mso-para-margin-left:0cm; line-height:107%; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri",sans-serif; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} Normal 0 21 false false false BG X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:. 0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;}
Understanding the prospects for transformation

Introduction In 2005 the Scottish Funding Council (SFC), then SHEFC, launched the e-Learning Transformation Programme (hereafter, ELTP). The authors of the present paper are part of one of the six successful project teams (Re-engineering Assessment Project). The SFC based the programme on a report (Tripp et al. 2003), and both they and the report's authors were clearly influenced by the Pew programme in the USA and by the vision that the sector could be transformed by the application of ICT (information and communications technology) to learning and teaching.
Pengujian Kualitas Daging Sapi dan Daging Ayam

Kebutuhan masyarakat akan daging sapi dan daging ayam yang semakin meningkat menyebabkan produsen daging sapi dan daging ayam harus memperhatikan kualitas daging yang siap dipasarkan sehingga daging menjadi aman, sehat, utuh, dan halal saat dikonsumsi. Penelitian ini bertujuan untuk mengetahui bagaimana kualitas daging sapi dan daging ayam yang dijual di pasar Dukuh Kupang Barat kota Surabaya. Pengambilan sampel dilakukan secara acak sebanyak 4 sampel daging sapi dan 4 sampel daging ayam dan segera dibawa ke laboratorium Kesehatan Masyarakat Veteriner Fakultas Kedokteran Hewan Universitas Wijaya Kusuma Surabaya untuk dilakukan pengujian kualitas daging yaitu pemeriksaan organoleptik (uji warna, bau, dan konsistensi), pengukuran nilai pH, pemeriksaan cooking loss, serta pemeriksaan awal pembusukan daging dengan uji eber dan uji postma. Hasil dari pemeriksaan kualitas daging ayam maupun daging sapi pada penelitian ini menunjukkan bahwa daging ayam maupun daging sapi adalah daging segar dan belum terdapat tanda kebusukan, meskipun sudah terdapat tanda awal proses pembusukan, hal ini menunjukkan bahwa daging tersebut merupakan daging yang memiliki kualitas yang cukup bagus sehingga daging tersebut aman untuk dikonsumsi.
High-Gain Dual-Band Transmitarray

We propose a novel linearly polarized, dual-band, and high-gain transmitarray based on multilayer frequency-selective surface structures. This is the first time for actualizing a dual-band transmitarray with more than 50% aperture efficiency. The unit cell is composed of four metallic layers without dielectric substrates between every two layers, which results in good match, low insertion loss, and high radiation efficiency. We introduce two kinds of rectangular slots in the design to control the magnitude and phase range of transmission coefficients in the two designed frequency bands through changing the slot length. The isolation between two bands is excellent and the interference can be ignored. The induced electric fields of the cell are also investigated in order to elucidate the working principle intuitionally. The proposed dual-band transmitarray with a square aperture ( $240 \times 240$ mm $^{2}$ ) is designed, fabricated, and measured. A linearly polarized corrugated horn antenna is adopted to improve the aperture efficiency and ensure the similarity of the radiation patterns on E-plane and H-plane. Full-wave simulation and experimental results have very good agreements. It is demonstrated that the dual-band transmitarray works in two frequency bands 11.8–12.2 and 17.5–18.1 GHz simultaneously, and the peak gains in the designed central frequencies 12 and 18 GHz are 27.8 and 31.4 dB, respectively, which correspond to the aperture efficiencies (global efficiencies) of 52% and 53%. The proposed design has advantages of simple structure, small weight, low cost, and high performance, making it possible for real applications.
A new species of Bolitoglossa (Amphibia, Caudata) from the Sierra de Juárez, Oaxaca, Mexico

Abstract We describe a new species of Bolitoglossa (Nanotriton) from the Sierra de Juárez and Sierra Mixe of Oaxaca, Mexico. Bolitoglossa chinanteca sp. n. is distinguished from the three other species in the subgenus Nanotriton by its more robust body, by having substantial numbers of maxillary teeth and differences in relative head width, foot width, and limb length. The new species occurs in sympatry with Bolitoglossa (Nanotriton) rufescens at the type locality. The description of another species of salamander from the Sierra de Juárez is noteworthy, given the already high plethodontid salamander species richness of the region.
Design and Simulation of Automatic Temperature Control and Alert System Based PIC16F887

In this research, the design and simulation of an automatic system for temperature control using embeddedsystem in order to automatically control of multi appliances depend on the temperature value. The appliances will becontrolled are ventilation, cooling, heating and alert. This is an order to avoid or reduce to human intervention andincrease system reliability. An important feature of this automation process is to reduce or eliminate the possibility ofrelying on the human factor operator for industries, warehouses and laboratories, and to improve working andperformance environments. The system in this paper used the microcontroller PIC16F887 as the central control unit,LM35 temperature sensor as a temperature source,16x2 liquid crystal display (LCD) as indicator to display thedifferent system working status an addition to some of drivers, relay and light emitting diodes (LED) as indicators todisplay the corresponding working appliance driver. The implementation and simulation of the system work has beenachieved by using Proteus professional software v8.0 and mikroc pro for pic v.6. 6.1 software to write the equivalentprogram and generate. Hex file for system working.
Implementation of Low-Power 6–8 b 30–90 GS/s Time-Interleaved ADCs With Optimized Input Bandwidth in 32 nm CMOS

A model for voltage-based time-interleaved sampling is introduced with two implementations of highly interleaved analog-to-digital converters (ADCs) for 100 Gb/s communication systems. The model is suitable for ADCs where the analog input bandwidth is of concern and enables a tradeoff between different architectures with respect to the analog input bandwidth, the hold time of the sampled signal, and constraints on the clock path. The two ADCs at 6 and 8 b resolution implement inline demux sampling with 32χ and 64χ interleaving to achieve 36 GS/s at 110 mW and 90 GS/s at 667 mW, respectively. The analog input bandwidth of both ADCs exceeds 20 GHz. The SNDR of the 64χ interleaved ADC is above 36 dB up to 6.1 GHz and above 33 dB up to 19.9 GHz at 90 GS/s, and the SNDR of the 32χ interleaved ADC exceeds 31.6 dB up to Nyquist at 36 GS/s. The 32χ and 64χ interleaved ADCs are optimized for area and occupy 0.048 and 0.45 mm2, respectively, in 32 nm CMOS SOI technology.
The Impact of Contextual Information on the Accuracy of Existing Recommender Systems for Web Personalization

Traditionally, recommender systems for the Web deal with applications that have two types of entities/dimensions, users and items. With these dimensions, a recommendation model can be built and used to identify a set of N items that will be of interest to a certain user. In this paper we propose a direct method that enriches the information in the access logs with new dimensions. We empirically test this method with two recommender systems, an item-based collaborative filtering technique and association rules, on three data sets. Our results show that while collaborative filtering is not able to take advantage of the new dimensions added, association rules are capable of profiting from our direct method.
Carboplatin dosing in real life: Beyond estimating glomerular filtration rate and the virtue of simplicity!

155 Sir, Several chemotherapeutic agents have a narrow therapeutic index, and accurate dosing becomes essential to avoid toxicity, such as myelosuppression or gastrointestinal toxicity. Weight‐based dosing, body surface area (BSA)‐based dosing, and area under the curve (AUC)‐based dosing are commonly employed to estimate doses of anticancer agents. [1] Of these, AUC‐based dosing (area under the plasma concentration multiplied by time) is the most relevant for drugs which are eliminated by the kidneys. For drugs which have nonrenal elimination or multiple pathways for elimination, AUC‐based dosing is not useful. In routine oncologic practice, the carboplatin dosage is usually estimated based on AUC‐based dosing since carboplatin clearance closely matches creatinine clearance. Therein lies the importance of measuring or estimating creatinine clearance.
Object-Oriented Analysis for Design of Protein Fingerprints

A new approach, based on object-oriented programming, for search and classification of protein patterns in a protein database is developed. Aiming at an improvement of the analysis of protein sequences and structures, certain basic patterns - such as motifs and fingerprints - are used. An unknown protein sequence can be classified by searching for those fingerprints from the database, assessing matches by estimating the statistical significance. The current implementation of the model algorithm for searching is a powerful tool that uses the PRINTS database as an example, however it does not support the option of adding of new features due to the conservative design of the program and the lack of publicly available code. A new version of the PRINTS database has recently been developed and this will require adding new features in the future. A novel object-oriented model for the implementation of the algorithm is proposed. This model is used to build a web application prototype, written in Python - the most widely used programming language in bioinformatics at present. The result of this study is a maintainable software with open source code that can easily be extended with new functionalities.
Various treatment techniques on signs and symptoms of delayed onset muscle soreness.

Eccentric activities are an important component of physical conditioning and everyday activities. Delayed onset muscle soreness (DOMS) can result from strenuous eccentric tasks and can be a limiting factor in motor performance for several days after exercise. An efficacious method of treatment for DOMS would enhance athletic performance and hasten the return to activities of daily living. The purpose of this study was to identify a treatment method which could assist in the recovery of DOMS. In the selection of treatment methods, emphasis was directed toward treatments that could be rendered independently by an individual, therefore making the treatment valuable to an athletic trainer in team setting. DOMS was induced in 70 untrained volunteers via 15 sets of 15 eccentric contractions of the forearm extensor muscles on a Lido isokinetic dynamometer. All subjects performed a pilot exercise bout for a minimum of 9 weeks before data collection to assure that DOMS would be produced. Data were collected on 15 dependent variables: active and passive wrist flexion and extension, forearm girth, limb volume, visual analogue pain scale, muscle soreness index, isometric strength, concentric and eccentric wrist total work, concentric and eccentric angle of peak torque. Data were collected on six occasions: pre- and post-induced DOMS, 20 minutes after treatment, and 24, 48, and 72 hours after treatment. Subjects were randomly assigned to 1 of 7 groups (6 treatment and 1 control). Treatments included a nonsteroidal anti-inflammatory drug, high velocity concentric muscle contractions on an upper extremity ergometer, ice massage, 10-minute static stretching, topical Amica montana ointment, and sublingual A. montana pellets. A 7 x 6 ANOVA with repeated measures on time was performed on the delta values of each of the 15 dependent variables. Significant main effects (p < .05) were found for all of the dependent variables on time only. There were no significant differences between treatments. Therefore, we conclude that none of the treatments were effective in abating the signs and symptoms of DOMS. In fact, the NSAID and A. montana treatments appeared to impede recovery of muscle function.
Leading impulse response identification via the weighted elastic net criterion

This paper deals with the problem of finding a low-complexity estimate of the impulse response of a linear time-invariant discrete-time dynamic system from noise-corrupted input-output data. To this purpose, we introduce an identification criterion formed by the average (over the input perturbations) of a standard prediction error cost, plus a weighted ℓ1 regularization term which promotes sparse solutions. While it is well known that such criteria do provide solutions with many zeros, a critical issue in our identification context is where these zeros are located, since sensible low-order models should be zero in the tail of the impulse response. The flavor of the key results in this paper is that, under quite standard assumptions (such as i.i.d. input and noise sequences and system stability), the estimate of the impulse response resulting from the proposed criterion is indeed identically zero from a certain time index nl (named the leading order) onwards, with arbitrarily high probability, for a sufficiently large data cardinality N. Numerical experiments are reported that support the theoretical results, and comparisons are made with some other state-of-the-art methodologies.
Grammar-Based and Lexicon-Based Techniques to Extract Personality Traits from Text

Language provides an important source of information to predict human personality. However, most studies that have predicted personality traits using computational linguistic meth-ods have focused on lexicon-based information. We investigate to what extent the performance of lexicon-based and grammar-based methods compare when predicting personality traits. We analyzed a corpus of student essays and their personality traits using two lexicon-based approaches, one top-down (Linguistic Inquiry and Word Count (LIWC)), one bottom-up (topic models) and one grammar-driven approach (Biber model), as well as combinations of these models. Results showed that the performance of the models and their combinations demonstrated similar performance, showing that lexicon-based top-down models and bottom-up models do not differ, and neither do lexicon-based models and grammar-based models. More-over, combination of models did not improve performance. These ﬁndings suggest that predicting personality traits from text remains difﬁcult, but that the performance from lexicon-based and grammar-based models are on par.