Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping AES Cryptography and Whirlpool Hashing onto the Cell BE architecture

The impressive computational power of the Cell Broadband Engine, coupled with its advanced security architecture, make it a perspective platform to implement cryptograpphic algorithms. This paper deals with mapping the AES symmetric-key cryptography and Whirlpool hash function onto the Cell Broadband Engine architecture. Based on the analysis of possible approaches to mapping AES onto Cell BE architecture, we finally focus on two schemes. The first of them is based on using the efficient implementation of simultaneous table lookups in a 256-entry byte table stored in 16 vector registers, to perform the SubBytes transformations. In the second scheme, we merge SubBytes, ShiftRows, and MixColumns into a single shorter sequence of operations, which is implemented using table lookups in four 1KB tables stored in memory. During the Conference, the performance results of the AES implementation on the Cell BE processor will be presented. In particular, we will report result of performance comparison of the first scheme, which is characterized by the extensive vectorization of operations on data stored entirely in registers, with the second scheme, which allows to decrease the number of operations at the cost of a lower degree of parallelism and longer time of access to data stored in the local memory of SPE. Another topic of research carried out in this work is related to the efficient implementation of the cryptographic hash algorithms on the Cell BE. One of potential alternatives to the traditional solutions is a hash function called Whirlpool. The block cipher used by Whirlpool is very similar to the AES algorithm. This allows us to adopt for the Whirlpool algorithm the both of schemes employed for the AES algorithm. At the same time, the important difference between these algorithms is that AES operates of data viewed as 4-by-4 matrices of bytes, while in Whirpool two parallel datapaths operate on input data and key material, each viewed as 8-by-8 matrices of bytes. It gives us much wider possibilities for parallelizing the Whrilpool algorithm on the Cell BE processor, even for compressing a single block of data. In the paper, for the first time, we propose how to decompose each datapath to provide its parallel execution on up to 4 SPEs. Such an approach would allow us to exploit efficiently the computing resources of all 8 SPEs in one Cell BE processor, even when processing a single stream of data. 2 Roman Wyrzykowski, Lukasz Kuczynski, and Krzysztof Rojek
A BEHAVIORAL APPROACH TO ESTIMATE AREA OF EXPERTISE FOR COOPERATIVE Q-LEARNING: A SELF REFERENCED STRATEGY

In this paper, a new method is proposed for controlling the processes including TimeDelay (TD). The method is based on the concept of dominant gain and its effect on the dynamics of irrational structured transfer function models. In this method, a minimum phase transfer function, which is almost required to be a first order one, is used for establishing the dominant gain requirement in control loop. This function is used as a secondary inner loop feedback from the controller output signal to the input such that establishment of the dominant gain constraint in the characteristic equation becomes possible. In this way, the RHP zeros of the open loop transfer function will be removed perfectly and the input signal to the controller will become free of the effect of such zeros. Among the important capabilities of this method is its much minor sensitivity to the model error and also its straight applicability for controlling QRDS processes.
Videos as an Instructional Tool in Pre-Service Science Teacher Education.

Problem Statement: Student teaching is an integral part of teacher education. While it provides pre-service teachers with real classroom experience, though, it is limited in that it does not provide shared experience. Used as instructional tools, videos provide a shared common experience in a controlled environment to pre-service teachers in teacher education. Video use as a part of teacher education requires that student teachers be skilled in observation and ability to notice. However, in many cases, pre-service teachers’ observation skills and ability to discern the effects of different strategies are neither questioned nor investigated. Purpose of Study: The purpose of this study was to investigate the effects of video use on pre-service teachers’ ability to observe and evaluate teaching practices and explore how that ability develops. Methods: This study was conducted with the participation of 26 senior preservice science and technology teachers who were enrolled in a teacher practice course during the fall semester of their fourth-year undergraduate education program. Three different videos were used as instructional tools; participating pre-service teachers were asked to evaluate the teaching practice in each video. A three-item questionnaire was used for data collection purposes. Findings and Results: The findings of the study suggest that, initially, preservice teachers failed to notice details and were only partially able to recognize the main features of a teaching practice. Most participant comments focused on what the teacher was doing rather than on students. As time progressed, participants’ ability to notice instructional strategies was found to be developed through use of videos. * Corresponding Author:PhD, Hacettepe University, Faculty of Education, dsonmez@hacettepe.edu. tr **Ph.D. Hacettepe University, Faculty of Education, meralh@hacettepe.edu. tr 142 Duygu Sonmez, &Meral Hakverdi-Can Conclusions and Recommendations: Through use of videos, pre-service teachers’ selective attention and ability to perceive details of a teaching practice was found to be improved. Since the ability to notice is an important skill for novice teachers, based on the finding of this study, video use is recommended as a part of teacher education.
NF-AT5 is a critical regulator of inflammatory arthritis.

OBJECTIVE To investigate the role of NF-AT5, an osmoprotective transcription factor, in synovial hyperplasia and angiogenesis in patients with rheumatoid arthritis (RA). METHODS The expression of NF-AT5 in synovial tissue and synoviocytes from RA patients was examined by immunohistochemistry and Western blot analysis, respectively. Messenger RNA (mRNA) in RA synoviocytes and human umbilical vein endothelial cells (HUVECs) transfected with dummy small interfering RNA (siRNA) or NF-AT5 siRNA were profiled using microarray technology. Assays to determine synoviocyte apoptosis and proliferation were performed in the presence of NF-AT5 siRNA. VEGF₁₆₅-induced angiogenesis was assessed by measuring the proliferation, tube formation, and wound migration of HUVECs. Experimental arthritis was induced in mice by injection of anti-type II collagen antibody. RESULTS NF-AT5 was highly expressed in rheumatoid synovium, and its activity was increased by proinflammatory cytokines, such as interleukin-1β and tumor necrosis factor α. The mRNA profiling of synoviocytes and HUVECs transfected with NF-AT5-targeted siRNA revealed 3 major changes in cellular processes associated with the pathogenesis of RA: cell cycle and survival, angiogenesis, and cell migration. Consistent with these results, NF-AT5 knockdown in RA synoviocytes and HUVECs inhibited their proliferation/survival and impeded angiogenic processes in HUVECs. Mice with NF-AT5 haploinsufficiency (NF-AT5(+/-)) developed a very limited degree of synovial proliferation, as seen on histologic analysis, and decreased angiogenesis, and they exhibited a nearly complete suppression of experimentally induced arthritis. CONCLUSION NF-AT5 regulates synovial proliferation and angiogenesis in chronic arthritis.
A survey of uncertainty handling in frequent subgraph mining algorithms

Frequent subgraph mining is useful in most knowledge discovery tasks such as classification, clustering and indexing. Many algorithms and methods have been developed to mine frequent subgraphs. To have an understanding of several mining frequent subgraph algorithms, it is advantageous to establish a common framework for their study. In this paper, we propose a comparative study of several approaches by focusing on the intrinsic characteristics of these algorithms. A set of existing approaches in literature are reviewed and categorized according to the certainty nature of input which can be exact or uncertain graphs.
An adaptive P&O MPPT using a sectionalized piece-wise linear P-V curve

This paper describes the adaptive perturb and observe (P&O) MPPT controller based on a sectionalized piece-wise linearization of the P-V curve. The algorithm divides the curve into three non-uniform sections, depending on the location of the maximum power point (MPP). Furthermore, the step size (M) is varied linearly according to the slope of the P-V curve. This results in high tracking speed and reduced steady state oscillations, along with rapid adjustment for the change in weather conditions. The proposed algorithm is implemented using a unidirectional buck-boost DC/DC converter. The model is simulated in MATLAB® Simulink environment for validation. Its efficiency is found to be higher than the conventional P&O MPPT with the fixed step size.
Increased extracellular matrix and proangiogenic factor transcription in endothelial cells after cocultivation with primary human osteoblasts

The most promising strategies in bone engineering have concentrated on providing sufficient vascularization to support the newly forming tissue. In this context, recent research in the field has focused on studying the complex interactions between bone forming and endothelial cells. Our previous work has demonstrated that direct contact cocultivation of human umbilical vein endothelial cells (HUVECs) with primary human osteoblasts (hOBs) induces the osteogenic phenotype and survival of hOBs. In order to investigate the mechanisms that lead to this effect, we performed microarray gene expression profiling on HUVECs following cocultivation with hOBs. Our data reveal profound transcriptomic changes that are dependent on direct cell contact between these cell populations. Pathway analysis using the MetaCore™ platform and literature research suggested a striking upregulation of transcripts related to extracellular matrix and cell‐matrix interactions. Upregulation of a number of major angiogenetic factors confirms previous observations that HUVECs enter a proangiogenic state upon cocultivation with osteoblasts. Interestingly, the downregulated transcripts clustered predominantly around cell cycle‐related processes. The microarray data were confirmed by quantitative real‐time RT‐PCR on selected genes. Taken together, this study provides a platform for further inquiries in complex interactions between endothelial cells and osteoblasts. J. Cell. Biochem. 114: 1584–1594, 2013. © 2013 Wiley Periodicals, Inc.
Privacy-Preserving Wireless Medical Sensor Network

In a wireless medical sensor network, the sensitive patient data is transmitted through the open air. It is more vulnerable to eavesdropping, spoofing, altering and replaying attacks, compared with the wired network. Some work has been done to secure the wireless medical sensor network using efficient symmetric key cryptosystems. The efforts can protect the patient data during transmission, but cannot stop the inside attack where the administrator of the patient database reveals the sensitive patient data. To prevent from the inside attack, more advanced cryptographic techniques, such as attribute-based encryption, may be used. However, it is too expensive to implement the techniques in the wireless sensor networks with low-power and low-cost sensor nodes. In this paper, we propose a practical approach to prevent from the inside attack by using Sharemind system, developed by Cybernetica to perform computations on input data without compromising its privacy. This paper has two main contributions. One contribution is proposing a lightweight encryption algorithm to protect the communication between the sensor node and the Sharemind system. Another contribution is employing Sharemind system to protect patient data privacy and support medical research.
The Lewy body variant of Alzheimer's disease

Thirty-six clinically diagnosed and pathologically confirmed Alzheimer's disease (AD) patients included 13 with cortical and subcortical Lewy bodies (LBs). The patients with LBs appeared to constitute a distinct neuropathologic and clinical subset of AD, the Lewy body variant (LBV). The LBV group showed gross pallor of the substantia nigra, greater neuron loss in the locus ceruleus, substantia nigra, and substantia innominata, lower neocortical ChAT levels, and fewer midfrontal tangles than did the pure AD group, along with a high incidence of medial temporal lobe spongiform vacuolization. Analysis of neuropsychological tests from 9 LBV subjects and 9 AD patients matched for age and degree of dementia revealed greater deficits in attention, fluency, and visuospatial processing in the LBV group. Similar comparisons of neurologic examinations showed a significant increase in masked facies; in addition there was an increase in essential tremor, bradykinesia, mild neck rigidity, and slowing of rapid alternating movements in the LBV group. Extremity rigidity, flexed posture, resting tremor, or other classic parkinsonian features were not characteristic of the LBV patient. In some cases, it may be possible to diagnose LBV premortem on the basis of the clinical and neuropsychological features.
Model Teoretis Hubungan Sikap Orangtua terhadap Anak, Sikap Guru terhadap Siswa, dan Self-Regulated Learning dengan Prestasi Belajar Siswa

ABSTRAK Yuzarion, 2014. Model Teoretis Hubungan Sikap Orangtua terhadap Anak, Sikap Guru terhadap Siswa, dan Self-Regulated Learning dengan Prestasi Belajar Siswa. Disertasi, Program Studi Psikologi Pendidikan, Pascasarjana Universitas Negeri Malang. Pembimbing (I) Prof. Dr. I Wayan Ardhana, M.A., (II) Dr. M. Ramli, M.A., (III) Prof. Dr. Hj. Nur Hidayah, M.Pd. Kata kunci: sikap orangtua, sikap guru, self-regulated learning, dan prestasi belajar Penelitian ini bertujuan untuk menjawab permasalahan pokok apakah model teoretis hubungan sikap orangtua terhadap anak, sikap guru terhadap siswa, dan self-regulated learning dengan prestasi belajar siswa, hubungan kausal ini mendapat dukungan empiris. Penelitian ini menggunakan desain korelasional eksplanatori. Sampel penelitian ini 285 siswa kelas XI SMAN Kota Malang diambil dengan teknik random sampling independen. Data dikumpulkan dengan tiga instrumen; (1) skala sikap orangtua terhadap anak, (2) skala sikap guru terhadap siswa, dan (3) skala self-regulated learning, semua skala memiliki validitas isi interater berkisar 0,93-1,00; validitas konsistensi internal koefisien korelasi per butir-total 0,304-0,797; validitas konstruk eksploratori loading faktor butir 0,504-0,842; validitas konstruk konfimatori loading faktor 0,706-1,00; dan nilai reliabilitas Cronbach's Alpha dan Construct Reliability 0,861-0,998. Data prestasi belajar berdasarkan nilai rapor. Data dianalisis dengan Structural Equation Modeling (SEM) menggunakan softwareAMOS 20. Hasil penelitian menujukkan bahwa model struktural telah layak (GFI=0,930, AGFI=0,908>0,90; CFI=0,990, TLI=0,988>0,95; dan RMSEA=0,029 0,05). Sikap orangtua terhadap anak, sikap guru terhadap siswa, dan self-regulated learning berpengaruh terhadap prestasi belajar siswa. Sikap orangtua terhadap anak, sikap guru terhadap siswa, berpengaruh langsung terhadap self-regulated learning dan berpengaruh tidak langsung terhadap prestasi belajar siswa melalui self-regulated learning. Temuan ini mendukung teori kognitif sosial. Berdasarkan temuan, penelitian ini menyarankan (1) guru agar (a) bersikap kondusif, peduli, bertanggung jawab, sensitif, dan mendorong kreativitas siswa, (b) menggali dan mengenalkan self-regulated learning dengan 6 faktor pembentuknya dan melakukan pelatihan self-regulated learning, (c) melakukan penelitian tindakan kelas (PTK) berkaitan dengan faktor-faktor yang mempengaruhi prestasi belajar,(2) orangtua agar (a) berpandangan positif terhadaap anak, (b) berdiskusi dan menggali potensi diri anak terutama yang berkaitan dengan self-regulated learning, dan (3) peneliti selanjutnya untuk melakukan penelitian tentang variabel pada penelitian ini di tingkat SD, SLTP, dan PT.
Individual Differences and Workplace Spirituality : The Homogenization of the Corporate Culture

Workplace spirituality is a growing concern for an increasing number of organizations, employees, and job seekers. In today’s tumultuous business landscape a growing number of people are looking to the workplace to fulfill their spiritual needs, while organizations are finding positive work outcomes associated with a workplace that augments workers spiritual fulfillment. There is to date, however, little research concerning the relationships between culture, individual differences, and workplace spirituality. Therefore, this paper develops propositions dealing with the spiritual homogenization of the corporate culture through the Attraction-Selection-Attrition framework, and the role of individual differences in workplace spirituality and corporate culture.
Computing All or Some Eigenvalues of Symmetric H-Matrices

We use a bisection method [B. Parlett, The Symmetric Eigenvalue Problem, Prentice-Hall, Englewood Cliffs, NJ, 1980, p. 51] to compute the eigenvalues of a symmetric $\mathcal{H}_{\ell}$-matrix $M$. The number of negative eigenvalues of $M-\mu I$ is computed via the LDL$^T$ factorization of $M-\mu I$. For dense matrices, the LDL$^T$ factorization is too expensive to yield an efficient eigenvalue algorithm in general, but not so for $\mathcal{H}_{\ell}$-matrices. In the special structure of $\mathcal{H}_{\ell}$-matrices there is an LDL$^T$ factorization with linear-polylogarithmic complexity. The bisection method requires only matrix-size independent many iterations to find an eigenvalue up to the desired accuracy, so that an eigenvalue can be found in linear-polylogarithmic time. For all $n$ eigenvalues, $\mathcal{O}(n^{2}(\log n )^{4}\log( \Vert {M}\Vert_{2}/\epsilon_{\text{ev}}))$ flops are needed to compute all eigenvalues with an accuracy $\epsilon_{\text{ev}}$. It is also possible to compute only eigenvalues in a specific interval or the $j$th smallest one. Numerical experiments demonstrate the efficiency of the algorithm, in particular for the case when some interior eigenvalues are required. (A corrected PDF is attached to this article.)
Comparison of continuously acquired resting state and extracted analogues from active tasks

Functional connectivity analysis of brain networks has become an important tool for investigation of human brain function. Although functional connectivity computations are usually based on resting‐state data, the application to task‐specific fMRI has received growing attention. Three major methods for extraction of resting‐state data from task‐related signal have been proposed (1) usage of unmanipulated task data for functional connectivity; (2) regression against task effects, subsequently using the residuals; and (3) concatenation of baseline blocks located in‐between task blocks. Despite widespread application in current research, consensus on which method best resembles resting‐state seems to be missing. We, therefore, evaluated these techniques in a sample of 26 healthy controls measured at 7 Tesla. In addition to continuous resting‐state, two different task paradigms were assessed (emotion discrimination and right finger‐tapping) and five well‐described networks were analyzed (default mode, thalamus, cuneus, sensorimotor, and auditory). Investigating the similarity to continuous resting‐state (Dice, Intraclass correlation coefficient (ICC), R2) showed that regression against task effects yields functional connectivity networks most alike to resting‐state. However, all methods exhibited significant differences when compared to continuous resting‐state and similarity metrics were lower than test‐retest of two resting‐state scans. Omitting global signal regression did not change these findings. Visually, the networks are highly similar, but through further investigation marked differences can be found. Therefore, our data does not support referring to resting‐state when extracting signals from task designs, although functional connectivity computed from task‐specific data may indeed yield interesting information. Hum Brain Mapp 36:4053–4063, 2015. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
A randomized trial comparing conventional cytology to liquid‐based cytology and computer assistance

Liquid‐based cytology (LBC) has replaced conventional cytology (CC) for cervical cancer screening in some countries. However, it remains unclear whether LBC is superior to CC. A randomized controlled trial was conducted between August 2007 and March 2009 in Germany to compare LBC, alone and in combination with computer‐assisted imaging technology (CAS), to CC in the detection of histologically confirmed cervical intraepithelial neoplasia (CIN). The main outcome measures were detection rates, relative sensitivities, positive predictive values (PPVs) and relative PPVs comparing LBC without and with CAS to CC. Primary histological outcome was CIN2 or higher. Included were 20,627 women participating in opportunistic cervical cancer screening at 20 gynecologic practices. The practices were randomized weekly to use LBC (n = 11,331) or CC (n = 9,296). Patients with positive findings were invited to expert colposcopy. The relative sensitivity of LBC versus CC using the CIN2+ cut‐off was 2.74 (95% confidence interval [CI] 1.66–4.53). The relative sensitivity of LBC/CAS versus CC for CIN2+ was 3.17 (95% CI 1.94–5.19). The PPV of LBC and CC for CIN2+ was 48% and 38%, respectively. The PPV ratio did not differ significantly from unity. Differences between LBC and CC were smaller in some sensitivity and subgroup analyses; however, relative sensitivity of LBC remained increased. LBC without and with CAS compared with CC under the field conditions of an opportunistic screening system had a significantly higher sensitivity for the detection of CIN without deterioration of PPVs. Additional use of CAS did not further improve sensitivity of LBC. © 2012 Wiley Periodicals, Inc.
A superburst from GX 3+1

I found one long X-ray flare from the X-ray burster GX 3+1 in almost 6 years of observations with the RXTE All Sky Monitor (ASM). The event had a peak flux of about 1.1 Crab (1.5-12 keV), lasted between 4.4 and 16.2 hoursand exhibited a fluence of more than about 5×10 4 1 erg for a source distance of 5 kpc. During the exponential-like decay, with an exponential decay time of 1.6 hours, spectral softening is seen. The total ASM effective exposure time on GX 3+1 is estimated to be around a year. The flare bears all the characteristics of the recently discovered so-called superbursts in other X-ray burst sources.
Proactive call drop avoidance in UMTS networks

The rapid advancement of smartphones has instigated tremendous data applications for cell phones. Supporting simultaneous voice and data services in a cellular network is not only desirable but also becoming indispensable. However, if the voice and data are serviced through the same antenna (like the 3G UMTS network), a voice call with data sessions requires better radio connection than a voice-only call. In this paper, we systematically study the coordination between the voice and data transmissions in UMTS networks. From analyzing a large carrier's UMTS network recording data, we first identify the most relevant network measurements/features indicating a potential call drop, then propose a drop-call predictor based on AdaBoost. Moreover, we develop an intelligent call management strategy to voluntarily block data sessions when the voice is predicted to be dropped. Our analysis utilizing real service provider's data sets shows that our proposed scheme can not only predict drop calls with a very high accuracy but also achieve the highest user satisfaction compared to the other existing call management strategies.