Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust Beamforming and Power Allocation for Secrecy in DF Relay Networks With Imperfect Channel State Information

We address a robust beamforming design and power allocation problem for a one-way multi-antenna relay network, where the multi-antenna source implements communication with the multi-antenna destination via a decode-and-forward (DF) relay in the presence of the multiple single-antenna eavesdroppers. The eavesdroppers can only overhear the information flowed from the relay to the destination in the second hop. We aim to maximize the worst-case secrecy rate in the condition that the global channel state information (CSI) is imperfect. To this end, we propose the joint beamforming and power allocation design for the worst-case secrecy rate maximization. However, our proposed design constitutes a non-convex problem, which involves an infinite number of constraints because of the imperfect CSI. To make the problem more tractable, we approximate the problem into several tractablesemidefinite programs by semidefinite relaxation, successive convex approximation, and S-procedure techniques, and we propose an iterative algorithm to solve the problem. Furthermore, we show that the proposed algorithm is also applicable for the case the Gaussian wiretap model, where only the eavesdroppers’ CSI is imperfect. Simulation results validate the effectiveness of the proposed algorithm.
Illness Shocks, Implicit Contracts and Labor Outcomes in Mexico

Acute morbidity is one of the most frequent productivity shocks in developing countries. Despite the numerous studies on consumption smoothing, little is known about the role of labor contracts in helping workers cope with it. This paper implements a new test for an implicit contract equilibrium against a spot labor market equilibrium to analyze to what extent labor contracts are used as a form of insurance against health shocks. Results consistently indicate that contractual arrangements in Mexico insure wage workers against idiosyncratic productivity fluctuations associated with illness episodes. To validate the methodology, the test is also implemented on a sample of self-employed workers. In this case, it correctly rejects the contract market. Results of the paper are important to better understand how health shocks affect wages, and workers choose occupations in developing countries. JEL: O120, O170, J410, J240
Analytical Models for Multi-RED Queues Serving as Droppers in DiffServ Networks

The paper proposes analytical models of two types of multi-RED queues, WRED and RIO-C, serving as droppers in DiffServ networks. Both are scrutinized under two types of configuration of threshold parameters: staggered and overlapped. The proposed analysis uses the M(n)/M/1/K and M(n)/D/1/K queuing models (queuing systems with balking). Additionally, in the case of RIO-C, a Bernoulli scheme is adopted in the model. The models are validated under two types of traffic: ftp-like and web-like. Recommendations on the selection of the most appropriate model are provided.
The Rowland Universal Dementia Assessment Scale (RUDAS) as a reliable screening tool for dementia when administered via videoconferencing in elderly post-acute hospital patients

The Rowland Universal Dementia Assessment Scale (RUDAS) is a six-domain screening tool for dementia. We measured the practicality and reliability of administering the RUDAS in a telemedicine setting. Inpatients were recruited from a Geriatric and Rehabilitation Unit. Each patient was administered the RUDAS both face-to-face (FTF) and via videoconferencing (VC). The assessment format (FTF or VC) and the allocation of doctor (Doctor 1 or Doctor 2) to format were randomized. Scores from each assessment format were compared. The outcome of no difference was decided based on a difference in mean of no more than ± one point. Percentage agreement (agreement being ±2 points) was calculated on individual test scores. Forty-two patients (average age 75 years) completed the two assessments. Their mean Mini-Mental State Examination (MMSE) score was 24.7 (range 10–30). The mean RUDAS score for both FTF and VC assessment was 24.9 (difference between the means 0.04), i.e. there was no significant difference. The results suggest that the RUDAS can be reliably administered via VC in post acute patients as an alternative to FTF administration.
Mining Telecommunication Networks to Enhance Customer Lifetime Predictions

Customer retention has become a necessity in many markets, including mobile telecommunications. As it becomes easier for customers to switch providers, the providers seek to improve prediction models in an effort to intervene with potential churners. Many studies have evaluated different models seeking any improvement to prediction accuracy. This study proposes that the attributes, not the model, need to be reconsidered. By representing call detail records as a social network of customers, network attributes can be extracted for use in various traditional prediction models. The use of network attributes exhibits a significant increase in the area under the receiver operating curve (AUC) when compared to using just individual customer attributes.
Nonlinear state space modeling of a variable speed wind power generation system

New problems emerging from the increased production of power from renewable resources are becoming a good challenge. To face the new challenges, accurate modeling of such systems is required. For example, to be able to apply advanced control strategies, usually a linearized state space representation of the system is needed. Taking a variable speed cage machine wind generation system as the case study, in this paper a nonlinear state space model is developed first and then linearized. As the wind speed changes randomly, the parameters of the equivalent linear model also change to track these changes. Results of simulation studies show that the linearized model matches well with the original nonlinear state space model. The nonlinear and linear state space models derived in this paper can be used in the development of advanced control strategies
Prosody of Scrambling *

The interaction between prosody and word order has been of significant cross-linguistic interest in generative linguistics (Vallduvi 1992, Cinque 1993, Selkirk1995, Zubizarreta 1998, Reinhart 2006, Büring 2007, i.a.). In Slavic languages, which exhibit significant freedom of word order (Bailyn 1995 and many others) the effects of prosody on word order permutations, known as scrambling, have received limited attention. Although a number of studies refer to the role of intonation, stress, or focusing on the sentence interpretation, oftentimes these claims are based on the authors‟ intuition and are not supported by experimental results. Recent advances in experimental methods have prompted emergence of research based on solid empirical data from Slavic languages (see Zybatow & Mehlhorn 2000, Kallestinova 2007, Féry, Paslawska & Fanselow 2007); nevertheless, studies directly addressing correlation of scrambling and prosody in various Slavic languages are scarce.
Variation of peak inspiratory flow through dry powder inhalers in children with stable and unstable asthma

Drug release from dry powder inhalers depends for a large part on a sufficiently high peak inspiratory flow (PIF). We determined the variation of PIF through two commonly prescribed dry powder inhalers in children with asthma. We analyzed the effect of inhaler device, age, and severity of asthma symptoms on variation of PIF. Fifty‐eight children with asthma (4–15 years old) recorded PIF values together with asthma symptoms in a diary twice daily for 4 weeks. PIF was measured with a portable PIF‐meter (In‐Check™) equipped with adapters to simulate flow resistance through the Accuhaler™ and Turbohaler™ inhalers. Children generated higher PIF values through an Accuhaler adapter than through a Turbohaler adapter (95% CI for difference, 25.7–31.7). Mean PIF values increased with age, independent of type of inhaler. The mean (SD) variation of PIF (low%high) was 72.3 (8.1)% for patients using the Accuhaler adapter, and 67.0 (14.5)% for patients using the Turbohaler adapter (mean difference, 5.2%; 95% CI, −0.9 to 11.4). Children ≤7 years of age had a significantly greater variation of PIF in addition to a lower mean PIF (P = 0.0003). PIF decreased significantly when symptoms of asthma increased (mean maximal decrease 11 l/min; P < 0.01), but the correlation between PIF and morning and evening symptoms was weak (r = −0.18 and r = −0.16, respectively). Patients who reported moderate or severe symptoms during the study period had a significantly greater variation of PIF compared to patients who remained free of symptoms or reported mild symptoms. The majority of patients generated PIF >30 l/min during the study, even when they experienced symptoms of asthma. The variation of PIF through the Accuhaler and Turbohaler adapter was significantly greater for children ≤7 years of age and for patients experiencing moderate or severe symptoms of asthma. Pediatr Pulmonol. 2004; 37:65–70. © 2004 Wiley‐Liss, Inc.
Long-term glacial erosion of active mountain belts: Example of the Chugach-St. Elias Range, Alaska

An emerging paradigm that equates glaciers to ''buzz saws'' of exceptional erosional efficiency has been strengthened by short- term (,10 2 yr) sediment yields from southern Alaska. New low- temperature cooling ages from this area, the glaciated Chugach- St. Elias Mountains, constrain long-term (10 6 yr) exhumation rates. Vertically averaged exhumation rates reach ;3 mm/yr, but are an order of magnitude lower than rates based on short-term sediment yields. Whereas these exhumation rates are not exceptional for oro- genic belts, denudation patterns are strongly correlated with the distribution of glaciers, and erosion appears to keep pace with con- vergence and uplift. These findings imply a coupling between gla- cially dominated erosion and tectonics.
A Novel Approach to the Derivation of Expressions for Geometrical MTF in Sampled Systems

A novel approach to the derivation of formul describing geometrical Modulation Transfer Funct (MTF) for sampled systems is presented. The formulae initially derived for the one dimensional case and desc performance extremes with respect to sampling p aperture and spatial frequency up to the Nyquist limit. approach is then extended to two dimensions performance with respect to array orientation evaluated. The formulae were tested against a high qua greyscale electronic stills camera (ECS). Predictions o MTF were compared with measurements made usin modified edge gradient technique, sine waves and 12233[1]. The results show correlation and suggest approach is valid within the constraints given.
Microfluidics and photonics for Bio‐System‐on‐a‐Chip: A review of advancements in technology towards a microfluidic flow cytometry chip

Microfluidics and photonics come together to form a field commonly referred to as ‘optofluidics’. Flow cytometry provides the field with a technology base from which both microfluidic and photonic components be developed and integrated into a useful device. This article reviews some of the more recent developments to familiarize a reader with the current state of the technologies and also highlights the requirements of the device and how researchers are working to meet these needs. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Operating Point Sensitivity Study to Turbo Coded Satellite Communication Systems

The availability of spectrum at Ka-Band frequencies has become a compelling reason for communication satellite operators to develop systems using Ka-band links. A disadvantage is that the required transmit power must overcome significant propagation loss at Ka-band frequencies. Forward error correcting (FEC) codes with channel interleaving are essential to higher data rate satellite communication applications, where coding gain is necessary to achieve the desired link performance with limited transmit power. FEC codes selection is a critical decision in satellite communication system design. In this paper, we develop a methodology for evaluating code performance sensitivity to downlink transmit power variation. A typical space-to-ground link budget derives the required effective isotropic radiating power (EIRP) under the constraints of current high power amplifier and antenna technology. serial and parallel turbo codes are chosen for the analysis. The trade-offs for performance sensitivity are decoder implementation complexity and decoder power consumption. Simulated performance results are incorporated in the link analysis. A summary of the relative FEC codes sensitivities to energy-per-bit to noise-density ratio (Eb/No) variation is provided. From the performance comparison, we have characterized the satellite link operating point sensitivity
K‐ras activation and ras p21 expression in latent prostatic carcinoma in Japanese men

Twenty‐three clinically silent prostatic carcinomas discovered in Japanese men at autopsy were surveyed for ras proto‐oncogene mutations by mutation‐specific oligonucleotide probe hybridization after polymerase chain reaction (PCR) amplification from a section of formalin‐fixed, paraffin‐embedded tissue. Six of the 22 that were satisfactorily amplified contained activating point mutations in codon 12 of K‐ras, a significantly higher frequency than has been reported in patients with clinically advanced disease in the United States. Of the six cases with activating point mutations in codon 12 of K‐ras, one had a GGT → GAT transition, four had GGT → GTT trans‐versions, and one had both GGT → GAT and GGT → GTT mutations. Sections from the same tissues were immunohistochemically stained with an anti‐ras p21 antibody. Carcinoma cells stained for ras p21 to some degree in 13 cases. Immunohistochemically detectable expression of p21 was always focal and was not necessarily associated with K‐ras mutation. K‐ras oncogene activation in prostatic carcinoma appears to merit additional study as a significant event in the pathogenesis of this neoplasm.
A reduced iterative decoder for power and bandwidth efficient serially concatenated continuous phase modulation

A reduced iterative decoder for power and bandwidth efficient serially concatenated continuous phase modulation (SCCPM) based on state fusing is proposed in this paper. The proposed algorithm is based on reduced state sequence detection (RSSD) used for CPM and applied to the inner CPM with finite state machine (FSM) structure. System design criterion and performance analysis are listed. Simulation results for binary 3RC signal with h = 1/2 and quaternary 3RC signal with h = 1/2 show that quaternary system provides better performance at the equivalent normalized double-sided bandwidth. The reduced iterative decoder of inner CPM with 4 states for binary 3RC CPM with h = 1/2 is degraded by at most 0.2 dB with respect to its optimal 8 state decoder; the reduced iterative decoder of inner CPM with 16 states for quaternary 3RC CPM with h = 1/2 is degraded by at most 0.5 dB with respect to its optimal 32 state decoder.
The relationship between proximal function of the upper extremity on the paralyzed side and upper extremity skills in daily life of subacute stroke patients

Nakashima N, Miyasaka H, Kondo I, Iwata K, Uematsu H, Yamamura C, Sonoda S. The relationship between proximal function of the upper extremity on the paralyzed side and upper extremity skills in daily life of subacute stroke patients. Jpn J Compr Rehabil Sci 2017; 8: 44-50. Objectives: The effects of proximal function of the upper extremity on the paralyzed side on daily life skills were examined in stroke patients. Methods: One hundred and forty-seven stroke patients were evaluated using the Functional Skills Measure After Paralysis (FSMAP), the Finger-Function test (FF), and the Knee-Mouth test (KM) of the Stroke Impairment Assessment Set (SIAS). The FSMAP score for each subgroup of the SIAS-KM level was compared. Results: The FSMAP score was significantly higher in patients with a KM score of 2/3 compared to patients with a KM score of 0/1 when SIAS-FF was 0/1A; in patients with a KM score of 2/3 compared to patients with a KM score of 0/1 and in patients with a KM score of 4/5 compared to patients with a KM score of 2/3 when SIAS-FF was 1B, 1C, or 2; and in patients with a KM score of 4/5 compared to patients with a KM score of 2/3 when SIAS-FF was 3, 4, or 5. Conclusion: The cross-sectional study indicated that differences in the level of proximal function affect the upper extremity skills when the level of distal function is equivalent.
SENSING OF SIGNALS LINKED BY SPARSE FILTERING

We consider the task of recovering correlated vectors at a central decoder based on fixed linear measurements obtained by distributed sensors. A general formulation of the problem is proposed, under both a universal and an almost sure reconstruction requirement. We then study a specific correlation model which involves a filter that is sparse in the time domain. While this sparsity assumption does not allow reducing the description cost in the universal case, we show that large gains can be achieved in the almost sure scenario by means of a novel distributed scheme based on annihilating filters. The robustness of the proposed method is also investigated.
Learning Objects Reusability and Retrieval through Ontological Sharing: A Hybrid Unsupervised Data Mining Approach

Ontologies add semantics and context to learning objects (LOs), enabling LO sharing and reuse in a contextual learning environment and providing better navigation and retrieval of LOs. However, the effectiveness of LO reuse from LO repositories is compromised due to the use of different ontological schemes in each LO repository. This paper presents an algorithmic framework for ontology mapping and merging, OntoDNA, which employs hybrid unsupervised data mining techniques to resolve the semantic and structural differences between ontologies to subsequently create a merged ontology to facilitate LO reuse and retrieval from the Web or from different LO repositories such as ARIADNE, MERLOT, CAREO or Educause. Experimental results on several real ontologies and comparisons with other ontology mapping and merging tools demonstrate the viability of the OntoDNA in terms of precision, recall and f-measure to interoperate LOs in the LO repositories.
CKIP at IJCNLP-2017 Task 2: Neural Valence-Arousal Prediction for Phrases

CKIP takes part in solving the Dimensional Sentiment Analysis for Chinese Phrases (DSAP) share task of IJCNLP 2017. This task calls for systems that can predict the valence and the arousal of Chinese phrases, which are real values between 1 and 9. To achieve this, functions mapping Chinese character sequences to real numbers are built by regression techniques. In addition, the CKIP phrase Valence-Arousal (VA) predictor depends on knowledge of modifier words and head words. This includes the types of known modifier words, VA of head words, and distributional semantics of both these words. The predictor took the second place out of 13 teams on phrase VA prediction, with 0.444 MAE and 0.935 PCC on valence, and 0.395 MAE and 0.904 PCC on arousal.
Hope: A further dimension for engaging family members of people with ABI.

BACKGROUND Family member engagement is increasingly recognised as an influential factor in the rehabilitation continuum following Acquired Brain Injury, including the inpatient setting and longer-term community integration phases. OBJECTIVE To explore the experiences of patients and family members about their involvement in brain injury rehabilitation. METHODS This study comprised individual and group interviews with 14 ex-patients and family members. Interviews explored effects of inpatient rehabilitation on family relationships. Interview audio recordings were analysed using an interpretive approach by two independent researchers. RESULTS Findings clearly confirmed the significance of engaging family members in inpatient rehabilitation, and specifically reinforced the importance of informational, emotional, practical and peer support. However, the key finding of the study was the importance of hope, and the need for rehabilitation professionals to foster hope. Despite not having included any questions on this topic, all interviewees noted the importance of hope, some saw it as fundamental to positive outcomes, and many were unconvinced of rehabilitation professionals' concern to avoid false hope. Various dimensions of hope are explored. CONCLUSIONS The study notes that hope has been identified as highly important in many areas beyond brain injury rehabilitation. Based on this small preliminary study, the issue of hope is seen as a key focus for future research.
Reblur2Deblur: Deblurring videos via self-supervised learning

Motion blur is a fundamental problem in computer vision as it impacts image quality and hinders inference. Traditional deblurring algorithms leverage the physics of the image formation model and use hand-crafted priors: they usually produce results that better reflect the underlying scene, but present artifacts. Recent learning-based methods implicitly extract the distribution of natural images directly from the data and use it to synthesize plausible images. Their results are impressive, but they are not always faithful to the content of the latent image. We present an approach that bridges the two. Our method fine-tunes existing deblurring neural networks in a self-supervised fashion by enforcing that the output, when blurred based on the optical flow between subsequent frames, matches the input blurry image. We show that our method significantly improves the performance of existing methods on several datasets both visually and in terms of image quality metrics.
A Review on Various IOT Analytics Techniques for Air Pollution Detection in Fog Computing

Atmospheric contamination has deteriorated the health of plants and animals all over the globe. In particular, pollutants such as benzene(C6H6) has accelerated the rate of cancer among human beings. Therefore, accurate evaluation of the pollutant in the atmosphere is necessary by traffic supervision in urban areas. To reduce atmospheric contamination, an effective mobile strategy planning must be developed. Currently, the atmospheric contamination is measured using spatially scattered networks with limited sensors. Although, these networks and sensors can evaluate the air pollution accurately, however the sensor expenses and size might limit the operational efficiency. In this paper we discuss about the various techniques of IOT and also discuss the detection of air pollution in fog computing. The overall objective of this paper is to detect the air pollution in IOT and we analyze IOT performs better than other techniques.