Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust Sum MSE Optimization for Downlink Multiuser MIMO Systems With Arbitrary Power Constraint: Generalized Duality Approach

This paper considers linear minimum mean-square-error (MMSE) transceiver design problems for downlink multiuser multiple-input multiple-output (MIMO) systems where imperfect channel state information is available at the base station (BS) and mobile stations (MSs). We examine robust sum mean-square-error (MSE) minimization problems. The problems are examined for the generalized scenario where the power constraint is per BS, per BS antenna, per user or per symbol, and the noise vector of each MS is a zero-mean circularly symmetric complex Gaussian random variable with arbitrary covariance matrix. For each of these problems, we propose a novel duality based iterative solution. Each of these problems is solved as follows. First, we establish a novel sum average mean-square-error (AMSE) duality. Second, we formulate the power allocation part of the problem in the downlink channel as a Geometric Program (GP). Third, using the duality result and the solution of GP, we utilize alternating optimization technique to solve the original downlink problem. To solve robust sum MSE minimization constrained with per BS antenna and per BS power problems, we have established novel downlink-uplink duality. On the other hand, to solve robust sum MSE minimization constrained with per user and per symbol power problems, we have established novel downlink-interference duality. For the total BS power constrained robust sum MSE minimization problem, the current duality is established by modifying the constraint function of the dual uplink channel problem. And, for the robust sum MSE minimization with per BS antenna and per user (symbol) power constraint problems, our duality are established by formulating the noise covariance matrices of the uplink and interference channels as fixed point functions, respectively. We also show that our sum AMSE duality are able to solve other sum MSE-based robust design problems. Computer simulations verify the robustness of the proposed robust designs compared to the nonrobust/naive designs.
Encyclopedia of Condensed Matter Physics

The work provides solid coverage in the fundamental theoretical aspects of the subject, with carefully planned cross-linking and structuring to give the user the potential to gain a solid grounding in the theoretical aspects of quantum mechanics, mechanics, electrodynamics, relativity, statistical mechanics, and elementary particles that form the core physics background for the field. These core areas form the background for coverage of such areas as crystallography, transport phenomena, various theoretical models (electronic, band structure, materials property models, etc), and physical properties of materials (electrical, magnetic, optical, thermal, etc). Coverage of experimental techniques will include, among others, the full range of scattering, microscopy, and spectroscopy techniques. Other entries do cover a range of materials processing (solidification, crystal growth, molecular beam epitaxy, sputtering, sintering, etc) and include coverage of key materials systems (macromolecules, nanostructures, polymers, ceramics, and alloys). Special materials systems that have had and continue to have a major impact on society such as semiconductors, laser materials, and superconductors are covered. The encyclopedia also includes a wide range of applied topics, device-oriented topics, developments in biomaterials, soft condensed matter, complex fluids, etc. Also available online via ScienceDirect featuring extensive browsing, searching, and internal cross-referencing between articles in the work, plus dynamic linking to journal articles and abstract databases, making navigation flexible and easy.
Mobility prediction's influence on QoS in wireless networks: a study on a call admission algorithm

Several mechanisms increase the QoS level of mobile networks thanks to an underlying mobility prediction method (i.e. a means to predict a mobile's next access router). This paper aims at studying how the accuracy of the prediction method can influence the network QoS in the particular context of call admission control. It shows that (a) the mobiles behaviour must be adapted according to the prediction scheme accuracy in order to achieve good performance and (b) the admission algorithm can be modified to increase its fairness and to give mobiles an incentive to do such an adaptation.
Stratified random walks on the n-cube

In this paper we present a method for analyzing a general class of random . walks on the n-cube and certain subgraphs of it . These walks all have the property that the transition probabilities depend only on the level of the point at which the walk is. For these walks, we derive sharp bounds on their mixing rates, i.e., the number of steps required to .
State-dependent photon blockade via quantum-reservoir engineering

An arbitrary initial state of an optical or microwave field in a lossy driven nonlinear cavity can be changed into a partially incoherent superposition of only the vacuum and the single-photon states. This effect is known as single-photon blockade, which is usually analyzed for a Kerr-type nonlinear cavity parametrically driven by a single-photon process assuming single-photon loss mechanisms. We study photon blockade engineering via a nonlinear reservoir, i.e., a quantum reservoir, where only two-photon absorption is allowed. Namely, we analyze a lossy nonlinear cavity parametrically driven by a two-photon process and allowing two-photon loss mechanisms, as described by the master equation derived for a two-photon absorbing reservoir. The nonlinear cavity engineering can be realized by a linear cavity with a tunable two-level system via the Jaynes-Cummings interaction in the dispersive limit. We show that by tuning properly the frequencies of the driving field and the two-level system, the steady state of the cavity field can be the single-photon Fock state or a partially incoherent superposition of several Fock states with photon numbers, e.g., (0,2), (1,3), (0,1,2), or (0,2,4). At the right (now fixed) frequencies, we observe that an arbitrary initial coherent or incoherent superposition of Fock states with an even (odd) number of photons is changed into a partially incoherent superposition of a few Fock states of the same photon-number parity. We find analytically approximate formulas for these two kinds of solutions for several differently-tuned systems. A general solution for an arbitrary initial state is a weighted mixture of the above two solutions with even and odd photon numbers, where the weights are given by the probabilities of measuring the even and odd numbers of photons of the initial cavity field, respectively. This can be interpreted as two separate evolution-dissipation channels for even and odd-number states. Thus, in contrast to the standard predictions of photon blockade, we prove that the steady state of the cavity field, in the engineered photon blockade, can depend on its initial state. To make our results more explicit, we analyze photon blockades for some initial infinite-dimensional quantum and classical states via the Wigner and photon-number distributions
A Critical Review of Pro-Cognitive Drug Targets in Psychosis: Convergence on Myelination and Inflammation

Antipsychotic drugs have thus far focused on dopaminergic antagonism at the D2 receptors, as counteracting the hyperdopaminergia in nigrostriatal and mesolimbic projections has been considered mandatory for the antipsychotic action of the drugs. Current drugs effectively target the positive symptoms of psychosis such as hallucinations and delusions in the majority of patients, whereas effect sizes are smaller for negative symptoms and cognitive dysfunctions. With the understanding that neurocognitive dysfunction associated with schizophrenia have a greater impact on functional outcome than the positive symptoms, the focus in pharmacotherapy for schizophrenia has shifted to the potential effect of future drugs on cognitive enhancement. A major obstacle is, however, that the biological underpinnings of cognitive dysfunction remain largely unknown. With the availability of increasingly sophisticated techniques in molecular biology and brain imaging, this situation is about to change with major advances being made in identifying the neuronal substrates underlying schizophrenia, and putative pro-cognitive drug targets may be revealed. In relation to cognitive effects, this review focuses on evidence from basic neuroscience and clinical studies, taking two separate perspectives. One perspective is the identification of previously under-recognized treatment targets for existing antipsychotic drugs, including myelination and mediators of inflammation. A second perspective is the development of new drugs or novel treatment targets for well-known drugs, which act on recently discovered treatment targets for cognitive enhancement, and which may complement the existing drugs. This might pave the way for personalized treatment regimens for patients with schizophrenia aimed at improved functional outcome. The review also aims at identifying major current constraints for pro-cognitive drug development for patients with schizophrenia.
Autism as a disorder of prediction

Significance Autism is characterized by diverse behavioral traits. Guided by theoretical considerations and empirical data, this paper develops the hypothesis that many of autism's salient traits may be manifestations of an underlying impairment in predictive abilities. This impairment renders an otherwise orderly world to be experienced as a capriciously “magical” one. The hypothesis elucidates the information-processing roots of autism and, thereby, can aid the identification of neural structures likely to be differentially affected. Behavioral and neural measures of prediction might serve as early assays of predictive abilities in infants, and serve as useful tools in intervention design and in monitoring their effectiveness. The hypothesis also points to avenues for further research to determine molecular and circuit-level causal underpinnings of predictive impairments. A rich collection of empirical findings accumulated over the past three decades attests to the diversity of traits that constitute the autism phenotypes. It is unclear whether subsets of these traits share any underlying causality. This lack of a cohesive conceptualization of the disorder has complicated the search for broadly effective therapies, diagnostic markers, and neural/genetic correlates. In this paper, we describe how theoretical considerations and a review of empirical data lead to the hypothesis that some salient aspects of the autism phenotype may be manifestations of an underlying impairment in predictive abilities. With compromised prediction skills, an individual with autism inhabits a seemingly “magical” world wherein events occur unexpectedly and without cause. Immersion in such a capricious environment can prove overwhelming and compromise one’s ability to effectively interact with it. If validated, this hypothesis has the potential of providing unifying insights into multiple aspects of autism, with attendant benefits for improving diagnosis and therapy.
Enhancement of CD8+ T Cell Responses by ICOS/B7h Costimulation1

Although the recently identified ICOS/B7h costimulatory counterreceptors are critical regulators of CD4+ T cell responses, their ability to regulate CD8+ responses is unclear. Here we report using a tumor-rejection model that ectopic B7h expression can costimulate rejection by CD8+ T cells in the absence of CD4+ T cells. Although responses of naive T cells were significantly augmented by priming with B7h, B7h was surprisingly effective in mobilizing recall responses of adoptively transferred T cells. To explore why secondary responses of CD8+ T cells were particularly enhanced by B7h, kinetics of ICOS up-regulation, proliferative responses, and cytokine production were compared from both naive and rechallenged 2C-transgenic T cells costimulated in vitro. Although B7h costimulated proliferative responses from both CD8+ populations, rechallenged cells were preferentially costimulated for IL-2 and IFN-γ production. These results indicate that ICOS/B7h counterreceptors likely function in vivo to enhance secondary responses by CD8+ T cells.
A systematic review of the use of hydrocolloids in the treatment of pressure ulcers.

AIMS AND OBJECTIVES The aim of this systematic literature review was to describe the current evidence in the field of pressure ulcer treatment with hydrocolloids and to give recommendations for clinical practice and further research. BACKGROUND Pressure ulcers are a common problem in clinical practice and generate substantial expense. A wide range of dressings is available but little is known about the effect on pressure ulcer healing. METHODS A Cochrane-based search strategy was used in four databases (PubMed, Embase, the Cochrane Central Register of Controlled Trials and the Cumulative Index to Nursing and Allied Health Literature), manuals and reference lists. Randomised controlled trials on the treatment of pressure ulcers with hydrocolloids, as defined by the British National Formulary, were systematically included and analysed. RESULTS Twenty-nine publications, dealing with 28 different studies, met the inclusion criteria and were included in the review. Hydrocolloids were most frequently used on pressure ulcers grade 2-3. Concerning the healing of the pressure ulcer, hydrocolloids are more effective than gauze dressings for the reduction of the wound dimensions. The absorption capacity, the time needed for dressing changes, the pain during dressing changes and the side-effects were significantly in favour of hydrocolloids if compared to gauze dressings. Based on the available cost-effectiveness data, hydrocolloids seemed to be less expensive compared with collagen-, saline- and povidine-soaked gauze but more expensive compared to hydrogel, polyurethane foam and collagenase. CONCLUSIONS This review demonstrates that hydrocolloids are to be preferred to gauze dressings in the treatment of pressure ulcers. Additional research is needed to confirm these results. RELEVANCE TO CLINICAL PRACTICE Based on the studies included in this review, hydrocolloids are frequently used in the treatment of grade 2 and 3 pressure ulcers and are more effective and less expensive than gauze dressings. Compared with alginates, polyurethane dressings, less-contact layers, topical enzymes and biosynthetic dressings, hydrocolloids are less effective.
The effect of interactive engagement teaching on student understanding of introductory physics at the faculty of engineering, University of Surabaya, Indonesia

This study investigates the effect of a teaching method consisting of peer instruction, worksheets utilization, constructivist classroom dialogue and in‐class demonstration. These teaching elements are intended to promote the interactive engagement of first year undergraduate students in an introductory physics course. The conceptual understanding of students in the experimental classes was better than that of students in the control classes which received traditional lecturing. The students in the experimental classes expressed positive responses towards the activities conducted to involve them actively in the learning process. It is also revealed that students still possess a traditional paradigm of teaching–learning. Several suggestions are presented to improve the implementation of this teaching method.
Change in flash visual evoked potentials in New Zealand albino rabbits after sub-tenon’s anesthesia

Abstract Context: The occurrence of amaurosis during ophthalmic anesthesia is well known. The reason for this manifestation has not been studied. Purpose: To investigate the effect of sub-tenon’s anesthesia on visual conduction in rabbit eyes. Methods: Fifteen right eyes of 15 New Zealand albino rabbits were included. 2% lidocaine hydrochloride and 0.75% bupivacaine hydrochloride (1 ml, 1:1 mixture) was injected in the sub-tenon’s space of 8 eyes while the control group (n = 7) was injected with 1 ml physiological saline. Flash visual evoked potentials (FVEP) were performed with Roland reti-scan system before and, 5 min, 15 min, and 5 days after injection. The natural pupillary diameter and minimal pupillary diameter with light reflex were recorded. Results: In the anesthesia group, N1 latency, P1 latency, and P1 amplitude were 17.13 ± 1.13 ms, 28.25 ± 1.83 ms, 13.45 ± 4.36 μv respectively before injection; 21.75 ± 3.06 ms, 29.63 ± 2.67 ms, 7.24 ± 4.64 μv at 5 min after injection; 22.25 ± 1.39 ms, 29.50 ± 2.51 ms, 7.54 ± 4.47 μv at 15 min after injection, and, 17.75 ± 0.71 ms, 28.13 ± 2.42 ms, 13.17 ± 4.08 μv 5 days after injection. When compared with baseline, N1 latency at 5 min and 15 min after injection showed prolongation (p = 0.019 and p = 0.001, respectively). Likewise, P1 amplitude decreased at 5 min and 15 min after injection (p < 0.001, p < 0.001, respectively). Both N1 latency and P1 amplitude recovered 5 days after the injection. Pupillary light reflex (PLR) constriction amplitude was 35.42% and 0.00% before and at 5 min after injection (p = 0.012). After 5 days it recovered to 33.33%. The FVEP and PLR constriction amplitude did not change significantly after injection in the control group. Discussion: Sub-tenon’s anesthesia was associated with changes in the FVEP and pupullary light reflex in rabbit eyes in our study. Conclusions: The data from this study suggested that sub-tenon’s anesthesia could reversibly block visual conduction in rabbit’s eyes.
Characterization of the oncornavirus particles in the plasma of guinea pigs with L2C leukemia

The inoculation of L2C guinea pig leukemia cells into strain 2 guinea pigs results in the death of the animals within 12 to 15 days. Death is preceded by the simultaneous appearance in the plasma of (i) elevated leukocyte levels, (ii) extracellular virus particles, and (iii) a particle-associated RNA-directed DNA polymerase. This enzyme activity has a cation preference identical to that of the type B bromodeoxyuridine-induced guinea pig virus, i.e., an Mg2+ optimum at 20 mM and no activity using Mn2+. Competitive molecular hybridization studies also revealed that the plasma of leukemic guinea pigs contained approximately 2 X 10(9) genome equivalents per ml of an RNA that is homologous to the RNA of the bromodeoxyuridine-induced guinea pig virus. Morphological observations indicate that most, but not all, of the extracellular particles observed in leukemia plasma are derived from the intracisternal particles seen in the L2C tumor cells. The possibilities that either two viral populations are present or that the in vivo morphogenesis of the type B bromodexoyuridine-inducible guinea pig virus is markedly different from its in vitro morphogenesis are discussed.
Galaxy Formation at z ~ 3: Constraints from Spatial Clustering

We use N-body simulations combined with semianalytic models to compute the clustering properties of modeled galaxies at z ~ 3 and confront these predictions with the clustering properties of the observed population of Lyman break galaxies (LBGs). Several scenarios for the nature of LBGs are explored, which may be broadly categorized into models in which high-redshift star formation is driven by collisional starbursts and those in which quiescent star formation dominates. For each model, we make predictions for the LBG overdensity distribution, the variance of counts in cells, the correlation length, and close pair statistics. Models that assume a one-to-one relationship between massive dark matter halos and galaxies are disfavored by close pair statistics, as are models in which colliding halos are associated with galaxies in a simplified way. However, when modeling of gas consumption and star formation is included using a semianalytic treatment, the quiescent and collisional starburst models predict similar clustering properties and none of these models can be ruled out based on the available clustering data. None of the "realistic" models predict a strong dependence of clustering amplitude on the luminosity threshold of the sample, in apparent conflict with some observational results.
The combining classifier: to train or not to train?

When more than a single classifier has been trained for the same recognition problem the question arises how this set of classifiers may be combined into a final decision rule. Several fixed combining rules are used that depend on the output values of the base classifiers only. They are almost always suboptimal. Usually, however, training sets are available. They may be used to calibrate the base classifier outputs, as well as to build a trained combining classifier using these outputs as inputs. It depends on various circumstances whether this is useful, in particular whether the training set is used for the base classifiers as well and whether they are overtrained. We present an intuitive discussion on the use of trained combiners, relating the question of the choice of the combining classifier to a similar choice in the area of dissimilarity based pattern recognition. Some simple examples are used to illustrate the discussion.
Attention allocation to familiar and unfamiliar faces in children with Autism Spectrum Disorder

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Evaluation of 16S rRNA Gene Primer Pairs for Monitoring Microbial Community Structures Showed High Reproducibility within and Low Comparability between Datasets Generated with Multiple Archaeal and Bacterial Primer Pairs

The application of next-generation sequencing technology in microbial community analysis increased our knowledge and understanding of the complexity and diversity of a variety of ecosystems. In contrast to Bacteria, the archaeal domain was often not particularly addressed in the analysis of microbial communities. Consequently, established primers specifically amplifying the archaeal 16S ribosomal gene region are scarce compared to the variety of primers targeting bacterial sequences. In this study, we aimed to validate archaeal primers suitable for high throughput next generation sequencing. Three archaeal 16S primer pairs as well as two bacterial and one general microbial 16S primer pairs were comprehensively tested by in-silico evaluation and performing an experimental analysis of a complex microbial community of a biogas reactor. The results obtained clearly demonstrate that comparability of community profiles established using different primer pairs is difficult. 16S rRNA gene data derived from a shotgun metagenome of the same reactor sample added an additional perspective on the community structure. Furthermore, in-silico evaluation of primers, especially those for amplification of archaeal 16S rRNA gene regions, does not necessarily reflect the results obtained in experimental approaches. In the latter, archaeal primer pair ArchV34 showed the highest similarity to the archaeal community structure compared to observed by the metagenomic approach and thus appears to be the appropriate for analyzing archaeal communities in biogas reactors. However, a disadvantage of this primer pair was its low specificity for the archaeal domain in the experimental application leading to high amounts of bacterial sequences within the dataset. Overall our results indicate a rather limited comparability between community structures investigated and determined using different primer pairs as well as between metagenome and 16S rRNA gene amplicon based community structure analysis. This finding, previously shown for Bacteria, was as well observed for the archaeal domain.