Miracle-dz/UniFAR-FTUs huggingface dataset:
Simultaneous transmission of information and RF energy in multicarrier systems

In this paper, we consider simultaneous transmission of information and energy in a wireless network with channels undergoing frequency-selective fading. The receivers are capable of decoding the information as well as harvesting energy from the same received signal. The network employs orthogonal frequency division multiplexing (OFDM) for signal transmission. In this context, we address two different problems and propose suitable algorithms for transmit and receive processing. The first problem is the optimal resource allocation for maximizing weighted sum-rate of the users while guaranteeing a minimum harvested energy at each receiver. In order to achieve this target, we propose an iterative algorithm that allocates a set of subcarriers to each user, allocates power to each subcarrier, and computes the optimal ratio of the received signal power that goes to the information decoder and the energy harvester. The second problem is the optimal resource allocation for maximizing the total harvested energy under constraints on the minimum rate achieved by each user. We propose resource allocation and receive processing algorithms as in the previous case. Numerical results are provided, and the merits of the proposed design for various operating conditions and parameters are illustrated.
Managing latency in embedded streaming applications under hard-real-time scheduling

In this paper, we consider the problem of hard-real-time scheduling of embedded streaming applications, modeled using dataflow graphs, while minimizing the application latency. Recently, it has been shown that the actors in an acyclic Cyclo-Static Dataflow (CSDF) graph can be scheduled as a set of implicit-deadline periodic tasks. Such scheduling approach has been shown to yield the maximum achievable throughput for a large set of graphs, called matched I/O rates graphs. We show that scheduling the graph actors as implicit-deadline periodic tasks increases the latency significantly for a class of graphs called unbalanced graphs. To alleviate this problem, we propose a new task-set representation for the actors in which the actors are scheduled as a set of constrained-deadline periodic tasks. We prove that scheduling the actors as constrained-deadline periodic tasks delivers optimal throughput (i.e., rate) and latency for graphs with repetition vector equal to $\vec{1}$. Furthermore, we evaluate the constrained-deadline representation using a set of 19 real-life applications and show that it is capable of achieving the minimum achievable latency for more than 70% of the applications, and even if the application has a repetition vector not equal to $\vec{1}$. We show that choosing the task deadline involves a trade-off between the latency and the resources requirements. Finally, we propose a decision tree to assist the designer in choosing the appropriate real-time periodic task model for scheduling acyclic CSDF graphs.
A novel strategy for deciphering dynamic conservation of gene expression relationship.

1 School of Life Science and Biotechnology, Shanghai Jiaotong University, Shanghai 200240, China 2 Key Lab of Systems Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China 3 Shanghai Center for Bioinformation Technology, Shanghai 200235, China 4 Cardiovascular Center, Department of Internal Medicine, University of Michigan Medical Center, Ann Arbor, MI 48109, USA Drug Discovery and Design Centre, State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, 555 Zuchongzhi Road, Shanghai 201203, China National Clinical Research Base of Traditional Chinese Medicine, Zhejiang Hospital of Traditional Chinese Medicine, Zhejiang Chinese Medical University, Hangzhou 310006, China *Correspondence to: Yixue Li, E-mail: yxli@sibs.ac. cn; Tel: +86-21-54920089; Fax: +86-21-54920089; Zhe Chen, E-mail:
Performance Comparison of VOQ Selection Policies in Scalable Packet Switches

Virtual output queueing is known to overcome the head of line blocking problem of input queueing. This type of buffering is widely used in ATM networks. In order to deliver desired performance, virtual output queueing requires efficient and effective scheduling algorithm with low operating complexity. For large scale switches this might be difficult to achieve, as algorithm complexity increases together with the size of the switch fabric. It is possible to resolve this problem by using interconnection network architectures with distributed buffers. In this case, each network node is a 2×2 switching element that employs virtual output queueing and dedicated selection policy that operates locally. Thus, large scale switches can be achieved without the expense of complex scheduling algorithms. In this paper, performance characteristics of the longest queue first, oldest cell first and random selection policies in the Banyan like interconnection network are studied. Results show that the longest queue first selection policy outperforms others in terms of packet loss performance, whereas random selection policy achieves low throughput-delay ratio performance.
The Impact of Non-Isotropic Scattering and Directional Antennas on MIMO Multicarrier Mobile Communication Channels

In outdoor environments, waves propagate non- isotropically because of non-uniform distribution of scatterers. In addition directional antennas, which are efficient for communication applications, have considerable impact on the response of the communication channel. The impact of non-isotropic propagation and directional antennas is more significant when the system employs multiple antennas. In this paper, we propose a space-time-frequency cross-correlation function (CCF) for multiple-input multiple-output multicarrier channels in a two-dimensional (2D) random scattering medium. The expression of the CCF turns out to be a multiplication of three CCFs. Two of these terms characterize the impact of mobile station and base station, respectively and are linear Bessel expansions, where the coefficients are given by the linear convolution of the Fourier series coefficients (FSC)s of the employed antenna patterns and the FSCs of the probability density function describing 2D non-isotropic environment. The third expression characterizes the impact of the wireless channel. In the stationary case, we derive the expression of the fading channel power spectrum (CPS) in terms of the non-isotropic pdf and antenna patterns. Using the expression of the CCF, we also calculate coherence-bandwidth (CB)/coherence-time (CT) as a function of carrier-frequency/time separations. Our numerical results show a good fit to the available experimental results obtained for the CB/CT of realistic outdoor channels.
Role of IRF 4 in IFN-stimulated gene induction and maintenance of KSHV latency in primary effusion lymphoma cells

Interferon regulatory factor (IRF) 4 is a hematopoietic cell-specific transcription factor that regulates the maturation and differentiation of immune cells. Using an inducible expression system, we found that IRF4 directly induced a specific subset of interferon-stimulated genes (ISG) in a type I interferon (IFN)-independent manner in both epithelial and B cell lines. Moreover, Kaposi sarcoma-associated herpesvirus (KSHV)-encoded viral FLICE inhibitory protein (vFLIP) enhances IRF4-mediated gene induction. Co-expression of IRF4 with vFLIP significantly increased ISG60 (IFIT3) and Cig5 (RSAD2) transcription that was dependent on the ability of vFLIP to activate NF-κB. A vFLIP mutant (A57L) – defective in NF-κB activation, failed to enhance IRF4-mediated ISG induction. Thus, we provide a physiologically relevant mechanism where viral protein mediated NF-κB activation modulates specific ISG induction by IRF4. In contrast, IRF4 also acted as a negative regulator of KSHV replication and transcription activator (RTA) expression after induction of KSHV lytic reactivation in KSHV positive primary effusion lymphoma (PEL) cells. Taken together, these results suggest a dual role for IRF4 in regulating ISG induction and KSHV lytic reactivation in PEL cells.
Somatic TP53 Mutations Are Relatively Rare among Adrenocortical Cancers with the Frequent 17p13 Loss of Heterozygosity

Purpose: Allelic losses [loss of heterozygosity (LOH)] at the 17p13 locus are frequent (85%) in adrenocortical cancers. The tumor suppressor gene TP53 is located at 17p13. The aim of the study was to determine the frequency of TP53 somatic inactivating mutations in adrenocortical tumors with 17p13 LOH and their clinico-biological correlations. Experimental Design:TP53 somatic mutations, intragenic LOH (VNTR1 marker), and p53 overexpression were studied in 36 adrenocortical tumors with 17p13 LOH determined by Southern blot. Results:TP53 mutations were detected in 33% of the tumors, and VNTR1 LOH was present in 44% of the cases and did not always correlate with the presence of a TP53 mutation. Only the TP53-mutant tumors exhibit a strong nuclear immunoreactivity. TP53-mutant tumors were significantly larger than wild-type TP53 tumors (median tumor weight: 640 versus 185 g; P = 0.02), were associated with a more advanced stage of tumor progression (MacFarlane stage IV; P = 0.01), and had a shorter disease-free survival (P = 0.03). Conclusions: The finding that only a minority of adrenocortical tumors with 17p13 LOH had either a VNTR1 LOH or a TP53 mutation indicates that TP53 might not be the only or major tumor suppressor gene at 17p13 involved in adrenocortical cancer progression. We suggest that a genetic instability of the 17p13 region, occurring early in adrenocortical cancer development, involves various genes located in this region. TP53 might be only one of them, and its alteration by the occurrence of inactivating mutation is associated with the development of more aggressive tumors.
Adaptive Construction of Mental Representations in Understanding Expository Texts

Abstract Starting from the assumption that text comprehension is a flexible strategic process, this study investigated how readers with different levels of prior knowledge adapt their processing to different degrees of thematic continuity/discontinuity of text organization. A discontinuous text proved to be more difficult to understand. Subjects with higher prior knowledge, however, processed such a text more intensively, were not reduced in their comprehension scores, and recalled details even significantly better than after reading a continuous text. In contrast, readers with lower prior knowledge processed the discontinuous text rather superficially and, consequently, reached lower comprehension and recall scores than after reading a continuous text. The results are discussed in a theoretical framework which assumes that text comprehension includes both the formation of propositional representations and the construction of mental models.
Phorbol myristate acetate inhibits HeLa 229 invasion by Bordetella pertussis and other invasive bacterial pathogens

The microfilament inhibitors cytochalasins B and D have been traditionally used to indirectly evaluate the requirement for actin in the uptake of invasive bacterial pathogens by nonprofessional phagocytes. Through their effects on microfilaments, both cytochalasins also impart profound alterations in cellular morphology and surface topology, which likely interfere with adherence. Alterations affecting adherence would complicate interpretation of the effect of cytochalasins on entry alone. As an alternative to cytochalasins, the effect of the tumor promoter phorbol myristate acetate (PMA) was examined for its effects on uptake of several invasive bacterial pathogens by HeLa 229 cells. In this communication, PMA was shown to induce a similar change in HeLa cell actin distribution, but, in contrast to cytochalasins B and D, PMA had no significant effect on gross cell morphology. The modified actin distribution was shown to reduce internalization of Bordetella pertussis, Yersinia pseudotuberculosis, Shigella flexneri, and Salmonella hadar in a dose-dependent manner at concentrations ranging from 1 to 1,000 ng/ml. The magnitude of reduction at a PMA concentration of 1,000 ng/ml was greater than the reduction elicited by cytochalasin B at 2.5 micrograms/ml but was less than that elicited by cytochalasin D at 2.5 micrograms/ml. Mezerein, a functional analog of PMA, caused a similar dose-dependent reduction in uptake of B. pertussis, whereas an inactive analog of PMA, alpha-4-phorbol-12,13-didecanoate was without effect on invasion. Binding studies further reveal that pretreatment of HeLa cells with PMA or mezerein did not significantly impair the ability of B. pertussis to adhere, in contrast to cytochalasins B and D, which caused a marked reduction in adherence.
Overexpression of Arabidopsis thaliana ERI, the homolog of C. elegans Enhancer of RNAinterference, leads to enhanced growth

Organisms adopt a wide range of strategies to adapt to change. Gene silencing describes the ability of organisms to modulate the expression of susceptible genes at certain times at the transcriptional or the translational level. In all known eukaryotic organisms 21-nt long short interfering RNAs (siRNAs) are the effector molecules of post-transcriptional gene silencing (PTGS), while 24-nt long siRNAs are involved in PTGS in plants. Mutant studies in Caenorhabditis elegans lead to the identification of the enzyme ERI (Enhancer of RNAinterference) with enhanced PTGS. Although the genes involved in growth vigor and growth rate are still unknown, it becomes clearer that the population of small RNAs plays a role in the very early phase of plant development. To pinpoint the link between growth and siRNAs, the expression of Arabidopsis uni-gene Enhancer of RNAi (ERI) homolog from C. elegans was modulated. Increased degradation of small RNAs was achieved by ectopic AtERI overexpression in planta. Based on global small RNA analysis, AtERI overexpression affects mainly the population of 21 mers, excluding miRNAs. To identify target genes, AtERI gain-of-function mutants were analyzed, and differentially abundant small RNAs were identified. Plants with an elevated level of AtERI were bigger in all three light intensities analyzed, indicating an inhibitory function of particular small RNAs in plant growth, with differences in relative growth rates depending on developmental stage and light intensity. Understanding the role of these siRNAs could open new avenues for enhancing plant growth.
10 Sociomateriality: Challenging the Separation of Technology, Work and Organization

Abstract We begin by juxtaposing the pervasive presence of technology in organizational work with its absence from the organization studies literature. Our analysis of four leading journals in the field confirms that over 95% of the articles published in top management research outlets do not take into account the role of technology in organizational life. We then examine the research that has been done on technology, and categorize this literature into two research streams according to their view of technology: discrete entities or mutually dependent ensembles. For each stream, we discuss three existing reviews spanning the last three decades of scholarship to highlight that while there have been many studies and approaches to studying organizational interactions and implications of technology, empirical research has produced mixed and often‐conflicting results. Going forward, we suggest that further work is needed to theorize the fusion of technology and work in organizations, and that additional perspe.
An enhanced broadcasting scheme for IEEE 802.11p according to lane traffic density

The vehicular ad-hoc network (VANET) is one form of mobile ad-hoc networks (MANETs). Vehicles in a specific area can compose VANET to provide a variety of safety-related services. Each vehicle should broadcast its beacon message periodically to form VANET. Moreover, it is a crucial task to disseminate beacon messages of each vehicle for road safety. However, if there are lots of vehicles on the road, the probability of successful reception of beacon messages would significantly decrease due to the message collision. Although conventional algorithms can achieve less collision rate, they cannot provide effective message distribution because of macroscopic perspective of the road traffic density. In this paper, we propose a broadcasting algorithm to disseminate vehicle information according to the lane traffic density as well as the road traffic density. The proposed algorithm can provide both less collision rate and effective message distribution.
Compact Modeling of High Frequency Phenomena for Onchip Spiral Inductors

This paper presents a physics-based compact model for predicting high frequency performance of spiral inductors. The model accurately accounts for skin effect and proximity effect in the metal conductors as well as eddy current loss in the silicon substrate at high frequencies. Skin effect is modeled accurately up to 20 GHz using a reduced partial element equivalent circuit formulation (PEEC). Proximity effect in multi-turn inductors is modeled using an “effective width” approach. Substrate eddy current is modeled with an effective substrate image current profile, which accounts for dependence on substrate resistivity, oxide thickness, and inductor trace width. The model shows excellent agreements with measured data across a variety of inductor geometries and substrate resistivities up to 20 GHz. This model can be applied to modeling on-chip coplanar lines at high frequencies.
Learning from errors: The role of context, emotion, and personality

This research focused on the relationship between negative emotionality and learning from errors. Specifically, negative emotionality was expected to impair learning from errors by decreasing motivation to learn. Perceived managerial intolerance of errors was hypothesized to increase negative emotionality, whereas emotional stability was proposed to decrease negative emotionality. All the hypotheses were tested in a laboratory simulation. Contrary to the prediction, a positive association was found between negative emotionality and motivation to learn. The effects of perceived managerial intolerance of errors and emotional stability on negative emotionality were as predicted. Moreover, exploratory data analyses were conducted at the level of specific negative emotions and revealed differentiated effects of specific negative emotions on learning from errors. Copyright © 2010 John Wiley & Sons, Ltd.
ROUTINE ACTIVITIES AND CRIME PREVENTION IN THE DEVELOPINGMETROPOLIS

Routine activities deliver easy crime opportunities to the offender. Astute planners and managers can interfere with this delivery, diverting flows of likely offenders (such as adolescents) away from streams of suitable targets (such as television sets). They can engineer traffic to provide “natural surveillance. ” Past trends encouraged crime rate increases, but the developing metropolitan facility could reverse this, privatizing substantial portions of metropolitan turf.
Sequential cavity method for computing limits of the log-partition function for lattice models

One of the key computational problems in combinatorics/statistical physics is the problem of computing limits of the log-partition functions for various statistical mechanics models on lattices. In combinatorics this limit corresponds to the exponent of various arrangements on lattices, for example the exponents of the number of independent sets, proper colorings or matchings on a lattice. In statistical physics this limit is called free energy. We propose a new method, sequential cavity, which beats the best known existing methods, such as transfer matrix method, in obtaining sharper bounds on the limits of the log-partition function for two models: independent sets (hard-core) and matchings (monomer-dimer). Our method is based on a surprisingly simple representation of the log-partition function limit in terms of a certain marginal probability of a suitably modified lattice, and using recent deterministic approximation counting algorithms for these two models. Our method also has a provably better theoretical performance compared with the transfer matrix method.
Transfer Knowledge between Cities

The rapid urbanization has motivated extensive research on urban computing. It is critical for urban computing tasks to unlock the power of the diversity of data modalities generated by different sources in urban spaces, such as vehicles and humans. However, we are more likely to encounter the label scarcity problem and the data insufficiency problem when solving an urban computing task in a city where services and infrastructures are not ready or just built. In this paper, we propose a FLexible multimOdal tRAnsfer Learning (FLORAL) method to transfer knowledge from a city where there exist sufficient multimodal data and labels, to this kind of cities to fully alleviate the two problems. FLORAL learns semantically related dictionaries for multiple modalities from a source domain, and simultaneously transfers the dictionaries and labelled instances from the source into a target domain. We evaluate the proposed method with a case study of air quality prediction.
Getting The Right Mix: Unpacking Integration Meanings and Strategies

ABSTRACT Integration has emerged as having an increasingly significant role in public policy discourse and practice in many jurisdictions across the globe. In providing a different framework for establishing relationships between service providers and citizens and government, horizontal integration arrangements offer the prospect of delivering new ways of working and providing solutions to seemingly insolvable social problems. Ways of achieving horizontal integration have been variously described by linkage terms such as cooperation, coordination, and collaboration. These terms have been typically used interchangeably to describe the coming together of individuals to work in concerted effort to achieve common goals.We argue that each of these terms, expressed as the “3Cs,” are different and consequently achieve different objectives. This paper explores the use of the “3Cs” and examines the differences highlighted by practitioners in the human services arena to extend the understanding of constructs relating to integration mechanisms. It is contended that in focusing on the experiences of integration and unpacking the use and expectations of the related “3Cs,” public administrators and practitioners will gain an enhanced understanding of each of the processes of integration as a coherent framework. As a consequence, there will be improved ability to match appropriate integration mechanisms with contexts and strategies.