Miracle-dz/UniFAR-FTUs huggingface dataset:
On-chip dynamic programming networks using 3D-TSV integration

Recent technological advances in three-dimensional (3D) semiconductor fabrication have provided a promising platform for realizing densely interconnected multicore, multiprocessor, and networks-on-chip (NoC) based systems. As the on-chip complexity grows significantly with the number of computational, control, and communication units, design considerations and the provision for efficient run-time resources management in large-scale system becomes critical. We have developed an on-chip distributed dynamic-programming (DP) network [3] [5] for a range of applications including optimal paths planning [6], dynamic routing [5] and deadlock detection [2]. This paper presents a design of DP-network, implemented in a fully stacked 3-layer three-dimensional (3D) through-silicon via (TSV) 150 nm CMOS technology through MIT Lincoln Lab [1]. The vertical inter-unit communication is achieved by means of TSV, and the mesh interconnection provides a natural minimal area overhead associated with this communication. The prototype circuit measures 2mm×2mm. Test results demonstrated the effectiveness of such a DP-network for deadlock detection and the computational delay is less than 9 ns for detecting deadlock from a large-scale network. This work provides promising results for future networks-on-chip application using 3D embedded DP-network.
The Chromosomal Proteins JIL-1 and Z4/Putzig Regulate the Telomeric Chromatin in Drosophila melanogaster

Drosophila telomere maintenance depends on the transposition of the specialized retrotransposons HeT-A, TART, and TAHRE. Controlling the activation and silencing of these elements is crucial for a precise telomere function without compromising genomic integrity. Here we describe two chromosomal proteins, JIL-1 and Z4 (also known as Putzig), which are necessary for establishing a fine-tuned regulation of the transcription of the major component of Drosophila telomeres, the HeT-A retrotransposon, thus guaranteeing genome stability. We found that mutant alleles of JIL-1 have decreased HeT-A transcription, putting forward this kinase as the first positive regulator of telomere transcription in Drosophila described to date. We describe how the decrease in HeT-A transcription in JIL-1 alleles correlates with an increase in silencing chromatin marks such as H3K9me3 and HP1a at the HeT-A promoter. Moreover, we have detected that Z4 mutant alleles show moderate telomere instability, suggesting an important role of the JIL-1-Z4 complex in establishing and maintaining an appropriate chromatin environment at Drosophila telomeres. Interestingly, we have detected a biochemical interaction between Z4 and the HeT-A Gag protein, which could explain how the Z4-JIL-1 complex is targeted to the telomeres. Accordingly, we demonstrate that a phenotype of telomere instability similar to that observed for Z4 mutant alleles is found when the gene that encodes the HeT-A Gag protein is knocked down. We propose a model to explain the observed transcriptional and stability changes in relation to other heterochromatin components characteristic of Drosophila telomeres, such as HP1a.
Bin Encoding: A User-Centric Secure Full-Text Searching Scheme for the Cloud

Permitting users to search encrypted documents presents cloud storage providers with interesting challenges. Existing solutions target large corporations rather than individual users of the cloud. In order to serve all users, we propose a way of shifting most of the computational complexity from the client to the cloud by building and managing the index there, while ensuring that only the client can access the plaintext. This allows more sophisticated indexing and search ranking schemes to be implemented, including approximate search with multiple errors. Our method uses a many-to-one encoding scheme called "Bin Encoding", and this paper analyses its cryptographic strength against letter-frequency and dictionary attacks.
Howe duality and the trace formula

In [H], Howe conjectured a correspondence between the automorphic representations of SO2n+1 and these of S̃pn. The local and global theory of the Howe correspondence has been established by the works of Furusawa [F], Howe [H2], Piatetski-Shapiro and Soudry [PS-S], Rallis [R], Waldspurger [W], etc. In this paper, we study the correspondence from a new angle, using the method of trace formula. We state two families of trace formulas that yield the Howe correspondence. The local Howe duality play an essential role in our trace formula. Let Fv be a non-Archimedean field with odd residue characteristics. We consider the Weil representation ωψ of the group S̃pn(2n+1)(Fv) (the twofold cover of Spn(2n+1)(Fv)), which is determined by an additive character ψ of Fv. We restrict ωψ to the dual pair SO2n+1 × S̃pn in S̃pn(2n+1), (where the symplectic form is given by the tensor product Q ⊗ A, Q being a symmetric nondegenerate bilinear form in 2n + 1 variables, A being an alternate nondegenerate bilinear form in 2n variables). One version of the (local) Howe duality conjecture is: there exists a surjective homomorphism
Recommendation agents in intelligent query answering systems

In this paper, after the introduction of ontology-based knowledge bases and user models, a model of recommendation agents that can query over distributed knowledge bases with heterogeneity for web-based intelligent query answering systems is proposed, and the query answering process of these agents is analyzed. Ontologies are introduced to describe the semantic information of knowledge bases in order to express fully the semantics of queries in our web-based intelligent query answering system. This model improves the relevance of the query results. At the same time, it reflects the dynamic change of the information in the knowledge bases and reduces the consistency and efficiency problem caused by using globe ontology.
LEARNING DISABILITIES EVIDENCES AMONG CONVICTS WITH CRIMINAL BEHAVIOUR IN IBADAN PRISON

Learning disabilities impacts on the functional abilities of persons presenting with it, as their academic performance come with unexpected products which results into shame, frustration, and social skills deficit which could prompt anti- social behaviour, and graduate into unlawful activities such as crime and criminal behaviour. This study examined the prevalence of learning disabilities among convicts so as to determine the relationship between learning disabilities and criminal behaviour. Purposive sampling technique was used to select the 70 literate convicts who formed the participants for the study. The Crime Behaviour Factor Battery (CBFB- α= .95) and the Wechsler Adult Intelligence Scale Revised fourth edition (WAIS- IV- α= .81) to test for learning disabilities were used as research instruments. Three research hypotheses were generated in the study, which were then analysed with the use of frequency count and percentages. Convicted criminals with learning disabilities were found among the prison inmates 9 (18%); the specific learning disabilities of the participants with criminal behavior could not be determined, and the participants were of average intelligence (67 < FSIQ,< 82); (P< 0.05). Thus, the curriculum needs of persons with education- related special needs should be adequately met, while the judge definition of crime should be upheld in criminal hearing.
Charge recycling for power reduction in FPGA interconnect

We propose charge recycling (CR) to reduce power consumption in FPGAs. We take advantage of the property that many routing conductors are left unused in any FPGA implementation of an application. Charge recycling via the unused conductors reduces the amount of charge drawn from the supply, lowering energy consumption. We present a routing switch that operates in two modes: normal and CR, and describe the CAD tool changes needed to support CR at the routing and post-routing stages of the flow. Results show that dynamic power in the FPGA interconnect can be reduced by up to ~15-18.4% by the proposed techniques, depending on the performance constraints.
Programming macro tree transducers

A tree transducer is a set of mutually recursive functions transforming an input tree into an output tree. Macro tree transducers extend this recursion scheme by allowing each function to be defined in terms of an arbitrary number of accumulation parameters. In this paper, we show how macro tree transducers can be concisely represented in Haskell, and demonstrate the benefits of utilising such an approach with a number of examples. In particular, tree transducers afford a modular programming style as they can be easily composed and manipulated. Our Haskell representation generalises the original definition of (macro) tree transducers, abolishing a restriction on finite state spaces. However, as we demonstrate, this generalisation does not affect compositionality.
Experimental Study of an underwater Acoustic communication system with Pseudonoise signals

Abstrac.t-An experimental study of underwater communications systems with a large ensemble of pseud-onoi_s_e_signals js described. Experiments were.performed in shadow antl "onuergence zones (at distancejof 40, 90' 525, and 694 km) in deep-water ocean regions and in a shallow sea (at a disiance of r72 i.rni, Transmission was accompanied by multipath propagation, fading, and scattering of signals-. Adaptive reception with delay diversity was used. Dependence of communication quality upon thJ numd". of delayed signali ana tne ur"rug-ing interval used to estimate pa.rameters of the acoustic channel was analyzed. Fading and scattering of signals accompany acoustic transmissions through acoustic channels in the ocean. Along with multipath propagation, these properties of a channel restrict the effrciency of underwater communications systems [l, 2]. A well-known way to control signal fading is multichannel reception with spatial, frequency, or time diversity, or with a combination of these techniques [3]. Spatial diversity is highly efficient for nnderwater channels [4] but requires complex antenna arrays. Because of its simplicity, frequency dive-rsit1, ir; wiclely usecl [-5, 6], trrrt this results in inelficient rrse <ll' a restrictcrl frequelrcv bltrrd rn arr underwater clrannel. Multipath propagation allows signal reception with separation in arrival times for different paths. Unlike thc rnajority of other reception methods, time diversity implies that signals from other channels form additive noise, which interferes with signals in the reception channel. Therefore, general statements concerning the advantages of transmission through parallel channels ire nol directly applicable to this type ol reception. For example, a maximum outpLlt selection schenre, that is, demodulation of signals amving along the mosr inrense path, has low efficiency in the case at hand, though it is known as an efficient method to control fading [3]. In multipatir reception, one has to add signals propagating along parallel channels. Coherent addition offers higher noise immunity. However, such addition requires that the gains of parallel channels and phases be known, which is not always possible. If the phases are not known, incoherent addition is the optimal method. For incoherent addition, amplitudes and delays of components of a multipath signal must be measured. Therefore, pseudonoise signals with high values of the duration product and frequency band-width are advantageous [7]. To increase the data transmission rate in the case of strong scattering, which is characteristic of underwater channels, one must usr: large ensembles of signals [8, 91. ^ The present paper is devoted to an experimental study of an acoustic …
A memory-adaptive sort (MASORT) for database systems

A memory-adaptive sort is able to dynamically change the amount of memory used during sorting. The method described in this paper adjusts memory usage according to input size and memory requirements of other sorts running in a database system. It saves memory space for small sorts, reduces sort time for large sorts, and balances memory usage among concurrent sorts. Overall system performance is improved when several sorts are running concurrently.
Selective Sensitization by Nitric Oxide of Sympathetic Baroreflex in Rostral Ventrolateral Medulla of Conscious Rabbits

Nitric oxide (NO) deficiency in the rostral ventrolateral medulla (RVLM) has been implicated in impaired baroreflex control in hypertensive and heart failure animals. However, the role of local NO in normal baroreflex regulation remains unclear. This study aimed to examine the role of NO in tonic and baroreflex control of blood pressure (BP) in the RVLM of conscious rabbits. Microinjections of NO donors, S-nitroso-N-acetylpenicillamine and sodium nitroprusside (5 to 20 nmol), or NO itself (20 to 200 pmol) into the RVLM dose-dependently increased BP. Bilateral microinjections of an NO synthase (NOS) inhibitor NG-nitro-l-arginine methyl ester (l-NAME; 10 nmol), its inactive enantiomer d-NAME, or soluble guanylate cyclase (sGC) inhibitors, 1-H-[1,2,4]oxadiaolo[4,3-a]quinoxalin-1-one (ODQ, 250 pmol) and methylene blue (10 nmol), into the RVLM did not affect resting BP, heart rate, or renal sympathetic nerve activity (RSNA). However, l-NAME, methylene blue, and ODQ decreased RSNA baroreflex gain by 42% to 55%, whereas d-NAME did not affect this reflex. Co-microinjections of l-NAME and superoxide scavenger tempol (20 nmol) decreased RSNA baroreflex gain by 37±8%. Microinjections of a neuronal NOS (nNOS) inhibitor, 7-nitroindazole (500 pmol), into the RVLM decreased RSNA baroreflex gain by 42±12%, without altering resting BP, heart rate, or RSNA. Local administration of inducible NOS (iNOS) inhibitors, S-methylisothiourea (0.25 nmol) and aminoguanidine (0.25 and 2.5 nmol), affected neither resting nor baroreflex parameters. These results suggest that nNOS-derived NO facilitates sympathetic baroreflex transmission in the RVLM at least in part via a sGC-dependent, superoxide-independent mechanism. However, local nNOS and iNOS play little role in the tonic support of BP in conscious rabbits.
Emulation of Learning and Memory Behaviors by Memristor Based on Ag Migration on 2D MoS2 Surface

Electrochemical metallization memories (ECM)‐based memristors are widely regarded as potential electronic devices for neuromorphic computing. However, in ECM‐based memristors, the formation of metallic conducting filament in insulating layer will cause an abrupt current increase, making it hard for analog neuromorphic emulation. Here, a memristor fabricated by using two‐dimensional (2D) semiconductor MoS2 that can provide atomically smooth and semi‐insulating surface as the medium for electric‐field‐driven migration of conducting filaments is proposed. This memristor based on the Ag ions migration on 2D MoS2 surface exhibits gradual conductance change behavior. Microstructure characterization shows that such gradual conductance change behavior can be attributed to the formation of conducting filament composed of a chain of metallic Ag nanoparticles of ≈5 nm at ON‐state device. By comparing with biological experimental data, it is found that our device can well mimic the learning behavior of Drosophila. Finding shows the potential to realize stable analog ECM‐based memristors and paves the way for fabricating large‐scale memristor network.
Commentary: Social capital, social class, and the slow progress of psychosocial epidemiology.

2 Navarro V. A critique of social capital. Int J Health Serv 2002;32:424–32. 3 Lowi T. The state of political science: how we became what we study. Am Polit Sci Rev 1992;86. 4 Therborn G. European Modernity and Beyond. The Trajectory of European Societies. London: Sage Publishers, 1995. 5 Navarro V (ed.). The Political Economy of Social Inequalities: Consequences for Health and Quality of Life. Amityville, NY: Baywood, 2002. 6 Navarro V (ed.). The Political and Social Contexts of Health. Amityville, NY: Baywood, 2004. 7 Navarro V. The politics of health inequalities research in the United States. Int J Health Serv 2004;34:87–99.
Tensor Discriminant Analysis With Multiscale Features for Action Modeling and Categorization

This letter addresses the problem of analyzing spatio-temporal patterns for action recognition. In this letter we organize the whole training set in a single tensor, with each mode indicating one factor which influences the result of recognition, e.g., various view points. A novel method is proposed for tensor decomposition by discriminant analysis of multiscale features which represent the motion details on different scales. In addition, the nearest neighbor classifier (NNC) is employed for action classification. Experiments on the self-manufactured action database under ideal conditions showed that the proposed method was better than state-of-the-art methods under various view angles in terms of accuracy. Experiments on the commonly used KTH database also showed that the proposed method had low time complexity and was robust against changing view points.
Subramanian Nirmala and Chinnappan Sudandiradoss Immunotherapeutic approaches based on prophylactic and therapeutic vaccine development

Approximately 500,000 women worldwide develop cervical cancer and it is the most common cancer among women in underdeveloped countries (Soliman et al., 2004) with 274,000 deaths each year due to this disease. In India, it has become the leading cancer among women with an annual incidence of about 130,000 cases and 70-75,000 deaths (Agarwal et al., 2011). HPV infection is known to be one of the important causes for the development of cervical cancer in women, which also forms a major risk factor for the development of anal, penile, and vulvar
Prototype Implementation of Two Efficient Low-Complexity Digital Predistortion Algorithms

Predistortion (PD) lineariser for microwave power amplifiers (PAs) is an important topic of research. With larger and larger bandwidth as it appears today in modern WiMax standards as well as in multichannel base stations for 3GPP standards, the relatively simple nonlinear effect of a PA becomes a complex memory-including function, severely distorting the output signal. In this contribution, two digital PD algorithms are investigated for the linearisation of microwave PAs in mobile communications. The first one is an efficient and low-complexity algorithm based on a memoryless model, called the simplicial canonical piecewise linear (SCPWL) function that describes the static nonlinear characteristic of the PA. The second algorithm is more general, approximating the pre-inverse filter of a nonlinear PA iteratively using a Volterra model. The first simpler algorithm is suitable for compensation of amplitude compression and amplitude-to-phase conversion, for example, in mobile units with relatively small bandwidths. The second algorithm can be used to linearise PAs operating with larger bandwidths, thus exhibiting memory effects, for example, in multichannel base stations. A measurement testbed which includes a transmitter-receiver chain with a microwave PA is built for testing and prototyping of the proposed PD algorithms. In the testing phase, the PD algorithms are implemented using MATLAB (floating-point representation) and tested in record-and-playback mode. The iterative PD algorithm is then implemented on a Field Programmable Gate Array (FPGA) using fixed-point representation. The FPGA implementation allows the pre-inverse filter to be tested in a real-time mode. Measurement results show excellent linearisation capabilities of both the proposed algorithms in terms of adjacent channel power suppression. It is also shown that the fixed-point FPGA implementation of the iterative algorithm performs as well as the floating-point implementation.
Review of Psychological Research.

The journal Psychological Research publishes articles that contribute to a basic understanding of human perception, attention, memory and action. It is devoted to the dissemination of knowledge based on firm experimental ground, independent of any particular approach or school of thought. The contents include theoretical and historical papers as well as those of an applied nature that serve to bridge the gap between basic and applied research. 2 Year Impact Factor: 2.863 (2014) 5 Year Impact Factor: 2.760 (2014) Section "Psychology, Experimental": Rank 22 out of 85
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Emerging applications for the 60GHz spectrum include extremely high-data-rate short-range communication systems. Many of these applications are expected to enter the realm of consumer electronics where low cost and mass production are prerequisites, favoring the application of digital CMOS technology. In this paper, a highly integrated receiver front-end is demonstrated that is manufactured in a digital CMOS process using a design approach amenable to mass production. Unlike many previous attempts in CMOS, the results of the design are well predicted by the simulation results, matching the desired frequency band and the simulated gain to a very high accuracy. Low noise and high gain are demonstrated with low power consumption. These factors in unison make this front-end suitable for small footprint mobile applications such as a cell phone, PDA, or laptop computer.
The Alexander polynomial of a plane curve singularity via the ring of functions on it

We prove two formulae which express the Alexander polynomial $\Delta^C$ of several variables of a plane curve singularity $C$ in terms of the ring ${\cal O}_{C}$ of germs of analytic functions on the curve. One of them expresses $\Delta^C$ in terms of dimensions of some factors corresponding to a (multi-indexed) filtration on the ring ${\cal O}_{C}$. The other one gives the coefficients of the Alexander polynomial $\Delta^C$ as Euler characteristics of some explicitly described spaces (complements to arrangements of projective hyperplanes). The final version of this article will be published in the Duke Mathematical Journal.