Miracle-dz/UniFAR-FTUs huggingface dataset:
A mutual-information based power allocation algorithm for multi-layer rate splitting scheme in tri-sectored wireless networks

Cell-edge users inevitably suffer from strong interference from adjacent cells, and consequently their throughput will decrease. Recent investigations show that the Han-Kobayashi (HK) rate splitting scheme is the best known strategy to mitigate the interference for a two-user interference channel. However, its receiver is too complicated to implement in practical systems. This paper takes the multi-layer rate splitting (MLRS) scheme as an alternative and proposes a new mutual-information based power allocation algorithm for the MLRS scheme. Simulation results for the scenarios of two cell-edge users show that the proposed power allocation algorithm brings two advantages. First, it can reduce the complexity of receivers for the MLRS scheme. Second, it can achieve performance comparable to the simple HK scheme in a two-user fading interference channel and provide about 39% gains in terms of average throughput, compared with a fixed frequency reuse 2 scheme, in a realistic tri-sectored wireless network.
Design dimensions of ambient information systems to assist elderly with their activities of daily living

To identify the design issues that should be addressed for developing Ambient Information Systems (AIS) that effectively assist elderly with their ADLs (i.e. medicating), a case study was carried out to identify the kind of support that elderly may need for medicating. The proposed AIS provides the elderly with ambient aids to: remind them to medicate (Remind-Me system); guide the medication (GUIDE-Me system), and encourage elders to medicate (CARe-Me system). These AIS will be evaluated to determine their utility and the users' acceptance, which will enable us to conclude whether the identified design dimensions of AIS are appropriate to assist elderly.
Freewrite: creating (almost) zero-cost writes to SSD in applications

While flash-based SSDs have much higher access speed than hard disks, they have an Achilles heel, which is the service of write requests. Not only is writing slower than reading, but also it can incur expensive garbage collection operations and reduce SSDs' lifetime. The deduplication technique can help to avoid writing data objects whose contents have been on the disk. A typical object is the disk block, for which a block-level deduplication scheme can help identify duplicate ones and avoid their writing. For the technique to be effective, data written to the disk must not only be the same as those currently on the disk but also be block-aligned. In this work, we will show that many deduplication opportunities are lost due to block misalignment, leading to a substantially large number of unnecessary writes. As case studies, we develop a scheme to retain alignments of the data that are read from the disk in the file modifications by using small additional spaces for two important applications, a log-based key-value store (e.g., FAWN) and an LSM-tree based key-value store (e.g., LevelDB). Our experiments show that the proposed scheme can achieve up to 4.5X and 26% of throughput improvement for FAWN and LevelDB systems, respectively, with a less than 5% space overhead.
Interactions between color plane interpolation and other image processing functions in electronic photography

Electronic cameras using a single CCD detector acquire scene color by subsampling in three, color planes and subsequently interpolating the information to reconstruct three, full-resolution color planes. The nature and size of the interpolation errors are a function of the algorithm used. When interpolation errors are propagated through the rest of the imaging chain, it becomes evident that synergistic effects among image processing operations must be considered when selecting and tuning an interpolation algorithm. This presentation demonstrates and comments on these image processing interactions.
Video Highlight Prediction Using Audience Chat Reactions

Sports channel video portals offer an exciting domain for research on multimodal, multilingual analysis. We present methods addressing the problem of automatic video highlight prediction based on joint visual features and textual analysis of the real-world audience discourse with complex slang, in both English and traditional Chinese. We present a novel dataset based on League of Legends championships recorded from North American and Taiwanese Twitch.tv channels (will be released for further research), and demonstrate strong results on these using multimodal, character-level CNN-RNN model architectures.
Positive Time-Frequency Distributions : Applications Development and 6

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Efficient Computation of Simplicial Homology through Acyclic Matching

We consider the problem of efficiently computing homology with Z coefficients as well as homology generators for simplicial complexes of arbitrary dimension. We analyze, compare and discuss the equivalence of different methods based on combining reductions, co reductions and discrete Morse theory. We show that the combination of these methods produces theoretically sound approaches which are mutually equivalent. One of these methods has been implemented for simplicial complexes by using a compact data structure for representing the complex and a compact encoding of the discrete Morse gradient. We present experimental results and discuss further developments.
Novel 600 V low reverse recovery loss vertical PiN diode with hole pockets by Bosch deep trench

The performance of a novel diode with characteristic trench shape is predicted by TCAD simulation. A novel 600 V vertical PiN diode with hole pockets by the Bosch deep trench process is proposed for a better trade-off curve between reverse recovery loss and forward voltage. The reverse recovery loss is reduced to a half. In addition, the active chip size of the novel diode is reduced to two-thirds that of the conventional PiN diode in the same forward voltage. The novel diode structure is a strong candidate when the simple fabrication process under development is established.
Ionized magnesium levels and the ratio of ionized calcium to magnesium in asthma patients before and after treatment with magnesium

Objective. Prior studies have been equivocal about the efficacy of magnesium therapy in acute asthma exacerbations. We hypothesize that pretreatment ionized magnesium (Mg2+) levels and/or the ratio of ionized calcium to ionized magnesium (Ca2+/Mg2+) may have been confounding variables in these previous studies. Here, we report on the incidence of abnormal divalent ion levels in our asthma population. Material and methods. The study was designed as a randomized, double‐blind, placebo‐controlled trial of intravenous magnesium. Inclusion criteria were: age >18 years, percentage predicted forced expiratory volume (FEV1) <75 % after an initial beta‐agonist. African–American patients (AA) at an urban university hospital were randomized to 2 g IV Mg or placebo. Mg2+ and Ca2+/Mg2+ levels were measured pre‐ and post‐infusion. Data were reported as means±SD. Student's t‐test and Fisher's exact test were used where appropriate (α = 0.05, two tailed) Results. Fifty‐five AA patients (mean age of 42.7 years±15.6 years, range18–75 years) were studied. A significantly (p<0.05) lower level of Mg2+ was found in asthma (AS) patients compared with that in the AA group, by 0.03 mmol/L (95 % CI, 0.007–0.053 mmol/L). The AS group had a mean increase in Ca2+/Mg2+ ratios over the AA group, of 0.27 (95 % CI, 0.16–0.38); 100 % of patients with abnormal divalent ion levels were corrected with IV magnesium. Conclusions. We identified a subgroup of asthmatic patients with significant abnormalities in their divalent ion concentrations, which was corrected with IV magnesium.
Optimal Allocation of Multichannel Measurement Devices for Distribution State Estimation

This paper proposes an optimization algorithm that is suitable for choosing the optimal number and position of the measurement devices in distribution state estimation (DSE) procedures used in modern electric distribution networks. The algorithm is based on the techniques of dynamic programming, and its goal is to guarantee both the minimum cost and the accuracy required for the measured data needed to operate management and control issues, such as energy dispatch and protection coordination. Both the uncertainty introduced by the measurement devices and the tolerance in the knowledge of the network parameters (line impedances) are taken into account in the proposed approach. The aggregation of the quantities to be measured in a few measurement points has been favored to reduce the overall cost of the measurement system. Random changes in the loads are considered to establish adequate reference conditions for the tests. Tests relevant to real distribution networks are presented to show the validity of the proposed approach. The results emphasize how both the influence of the tolerance on the network parameters and the cost of the measurement system can dramatically be minimized by suitably choosing the algorithm to be implemented to solve the DSE problem.
Microsoft Cambridge at TREC 2002: Filtering Track

Six runs were submitted for the Adaptive Filtering track, four on the adaptive filtering task (ok11af? ), and two on the routing task (msPUM? ). The adaptive filtering system has been somewhat modified from the one used for TREC–10, largely for efficiency and flexibility reasons; the basic filtering algorithms remain similar to those used in recent TRECs. For the routing task, a completely new system based on perceptrons with uneven margins was used.
Functional aggregation for nonparametric regression

We consider the problem of estimating an unknown function f from N noisy observations on a random grid. In this paper we address the following aggregation problem: given M functions f 1 , . , f M find an aggregated estimator which approximates f nearly as well as the best convex combination f * of f 1 ,. , f M . We propose algorithms which provide approximations of f * with expected L 2 accuracy O(N -1/4 In 1/4 M). We show that this approximation rate cannot be significantly improved. We discuss two specific applications: nonparametric prediction for a dynamic system with output nonlinearity and reconstruction in the Jones-Barron class.
A Validated Model of Serum Anti-Müllerian Hormone from Conception to Menopause

Background Anti-Müllerian hormone (AMH) is a product of growing ovarian follicles. The concentration of AMH in blood may also reflect the non-growing follicle (NGF) population, i.e. the ovarian reserve, and be of value in predicting reproductive lifespan. A full description of AMH production up to the menopause has not been previously reported. Methodology/Principal Findings By searching the published literature for AMH concentrations in healthy pre-menopausal females, and using our own data (combined ) we have generated and robustly validated the first model of AMH concentration from conception to menopause. This model shows that 34% of the variation in AMH is due to age alone. We have shown that AMH peaks at age 24.5 years, followed by a decline to the menopause. We have also shown that there is a neonatal peak and a potential pre-pubertal peak. Our model allows us to generate normative data at all ages. Conclusions/Significance These data highlight key inflection points in ovarian follicle dynamics. This first validated model of circulating AMH in healthy females describes a transition period in early adulthood, after which AMH reflects the progressive loss of the NGF pool. The existence of a neonatal increase in gonadal activity is confirmed for females. An improved understanding of the relationship between circulating AMH and age will lead to more accurate assessment of ovarian reserve for the individual woman.
Prospective randomized, controlled trial of sinus grafting using Escherichia-coli-produced rhBMP-2 with a biphasic calcium phosphate carrier compared to deproteinized bovine bone.

AIM This study compared the effects of Escherichia-coli-produced recombinant human bone morphogenetic protein 2 (ErhBMP-2) with a biphasic calcium phosphate (BCP) carrier to those of deproteinized bovine bone in human maxillary sinus floor augmentation. MATERIAL AND METHODS Screening for this clinical trial selected 56 sites that provided informed consent to participate, of which 46 were ultimately enrolled and 41 were finally included in the study. The sites were divided into two groups using a random-number table, and the material was applied. A trephine biopsy was performed after 24 weeks, and implants wider than the biopsy site were inserted. Computed tomography and plain panoramic images were obtained immediately and then again at 24 weeks after the surgery. Radiographic images were reconstructed to allow measurement of the linear and volumetric changes. The biopsy samples were processed for histologic and histometric analyzes. RESULTS All sites healed uneventfully with no complications. Radiographic analysis revealed a tendency for the volume to increase, but the difference was not statistically significant in either group. Comparison of volumetric changes between the two groups also revealed no significant difference. Moreover, none of the histometric parameters differed significantly between the groups, although different healing patterns were observed on histologic analysis. CONCLUSIONS AND CLINICAL IMPLICATIONS It can be concluded that sinus augmentation with ErhBMP-2 carrying BCP carrier did not enhance bone regeneration compared to the conventional treatment using deproteinized bovine bone at 24 weeks after the surgery.
Constrained subspace estimation via convex optimization

Given a collection of M experimentally measured subspaces, and a model-based subspace, this paper addresses the problem of finding a subspace that approximates the collection, under the constraint that it intersects the model-based subspace in a predetermined number of dimensions. This constrained subspace estimation (CSE) problem arises in applications such as beamforming, where the model-based subspace encodes prior information about the direction-of-arrival of some sources impinging on the array. In this paper, we formulate the constrained subspace estimation (CSE) problem, and present an approximation based on a semidefinite relaxation (SDR) of this non-convex problem. The performance of the proposed CSE algorithm is demonstrated via numerical simulation, and its application to beamforming is also discussed.
Static analysis of active XML systems

Active XML is a high-level specification language tailored to data-intensive, distributed, dynamic Web services. Active XML is based on XML documents with embedded function calls. The state of a document evolves depending on the result of internal function calls (local computations) or external ones (interactions with users or other services). Function calls return documents that may be active, so may activate new subtasks. The focus of the paper is on the verification of temporal properties of runs of Active XML systems, specified in a tree-pattern based temporal logic, Tree-LTL, that allows expressing a rich class of semantic properties of the application. The main results establish the boundary of decidability and the complexity of automatic verification of Tree-LTL properties.
Neural mechanisms of binding in the hippocampus and neocortex: insights from computational models

An account of the neurological mechanisms that underlie binding is given which is characterized by the decomposition of the binding problem into three distinct subproblems. Each subproblem is then supported by anatomically specialized brain regions. The posterior cortex employs coarse-coded distributed representations of low-order conjunctions to resolve binding ambiguities, while also supporting systematic generalization to novel stimuli and situations. These representations are slowly acquired over experience. The hippocampus can more rapidly bind higher-order conjunctions of information such as episodes or locations. Finally, the prefrontal cortex supports transient, actively maintained bindings that are used in the service of working memory. We argue that this approach to the binding problem compares favorably with those based on temporal synchrony binding.
An International Comparison of Individual Tree Detection and Extraction Using Airborne Laser Scanning

The objective of the “Tree Extraction” project organized by EuroSDR (European Spatial data Research) and ISPRS (International Society of Photogrammetry and Remote Sensing) was to evaluate the quality, accuracy, and feasibility of automatic tree extraction methods, mainly based on laser scanner data. In the final report of the project, Kaartinen and Hyyppa (2008) reported a high variation in the quality of the published methods under boreal forest conditions and with varying laser point densities. This paper summarizes the findings beyond the final report after analyzing the results obtained in different tree height classes. Omission/Commission statistics as well as neighborhood relations are taken into account. Additionally, four automatic tree detection and extraction techniques were added to the test. Several methods in this experiment were superior to manual processing in the dominant, co-dominant and suppressed tree storeys. In general, as expected, the taller the tree, the better the location accuracy. The accuracy of tree height, after removing gross errors, was better than 0.5 m in all tree height classes with the best methods investigated in this experiment. For forest inventory, minimum curvature-based tree detection accompanied by point cloud-based cluster detection for suppressed trees is a solution that deserves attention in the future.
Electrical balance isolation for flexible duplexing in 5G mobile devices

Exploiting new technologies will be vital in meeting the demanding requirements of 5G radio access. Flexible duplexing architectures will be a key enabling technology in 5G handsets, virtualising the radio spectrum, reducing cost, and increasing link capacity through full duplex radio communication. The tunability, low cost and small form factor of Electrical Balance (EB) duplexing technology makes it an attractive choice for flexible duplexing in small form factor devices. Circuit simulations incorporating measured antenna data have been used to investigate the performance of a dual notch EB duplexer in a full duplex mode at 1900MHz. Results show that, in general, the isolation bandwidth of a dual notch EB duplexer increases with the notch separation frequency, and that at bandwidths below 75MHz, dual notch balancing achieves transmit to receive isolation within 3dB of optimal balancing. The simulated duplexer provides a 30dB isolation bandwidth of up to 200MHz. Therefore, in addition to providing tunable frequency division duplexing functionality, EB duplexing technology can also serve as a component of a broadband full duplex transceiver, thus providing a fully integrated flexible duplexing solution.
Investigation of a PECVD silicon oxide/silicon nitride passivation system concerning process influences

In this work we investigated the properties of silicon oxide (SiOy) and silicon nitride (SiNx) layers deposited by a large area 13.56 MHz PECVD system as well as of the combined SiO-SiN "stack". The bonding nature of the layers was determined by FTIR spectroscopy. Furthermore, a characterization of the interface trap density as well as of the fixed charges in the different passivating layers was performed by pre- paring and measuring metal-insulator-semiconductor samples and supplemented by lifetime measurements. We show how temperature steps as well as x-ray and UV-radiation change the layer properties: High energetic radiation leads to a depassivation of the surface deposited with the SiO-SiN stack. The low surface recombination velocity can be fully recovered by an annealing step. In addition, rear side passivated solar cells were fabricated with a SiO-SiN stack as passivation layer and the rear surface recombination velocity of the solar cells was measured by the CELLO technique.
Energy Allocation and Soft Decoding in Noisy Binary Network Coding

Network coding is a hot research topic due to its ability to improve network throughput and robustness. Most existing research on network coding assumes that the transmission between two nodes in a network is free of errors. Accompanying with this assumption is that nodes in the network always perform hard decisions regarding the received data bits. In this paper, however, we deal with the fact that data transmission is noisy in reality. Only binary networks are considered. The communication channel between two nodes is treated as either BSC or AWGN. Two issues are addressed. First, with all network branches treated as BSC, we investigate the problem of how a transmitter node should allocate its available energy among the branches connected to it so that the intended receivers get the best result (in some sense). Secondly, by treating the branches connected to a receiver node as AWGN, we develop a soft decoding scheme for obtaining the soft decisions (in terms of probabilities) regarding the received data bits at a receiver node. We then show how these soft decisions can be exploited in some belief-propagation decoding schemes. We claim that if error correcting codes are to be incorporated into network coding, then soft decoding is either indispensable or much preferred.
Methodology and technological aspects of the flexible substrate preparation for ink-jet printing technology

The ink-jet printing technology becomes especially promising for wide volume of production of cheap sensors, consumable electronics and other dedicated applications of everyday life like smart packaging, smart textiles, smart labels, etc. To achieve this goal new materials compatible with ink-jet printing should be developed. Currently on the market there is a growing number of inks with different properties, but their use requires many tests related to its printability and their interaction with other materials. The paper presents technological problems that are encountered by people associated with fabrication of various devices with using of inkjet printing techniques. Results presented in the paper show the influence of surface preparation techniques on the quality of achieved shapes, the impact of other materials already deposited and the impact of another external factors. During carried out experiments the printer Dimatix DMP 2831 and several inks base on nanosilver or dielectric UV curable was used.
Convex Learning with Invariances

Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbitrary losses. In addition, it is a drop-in replacement for most optimization algorithms for kernels, including solvers of the SVMStruct family. The advantage of our setting is that it relies on column generation instead of modifying the underlying optimization problem directly.