Miracle-dz/UniFAR-FTUs huggingface dataset:
User scheduling algorithm for mmWave FDMA Massive MU-MIMO system with hybrid beamforming

In millimeter wave (mmWave) cellular system, the multipath nature of wireless channels and large bandwidth ensure the existence of frequency selective channels. This paper proposes user scheduling for downlink orthogonal frequency division multiple access (OFDMA) massive multi-user multiple input multiple output (MU-MIMO) system with hybrid beamforming (HB) algorithm. The analog beamforming is implemented by employing same phase shifters in the entire frequency band. Therefore the optimization of the wideband analog beamforming should consider the beam direction of multiple OFDMA users scheduled in different frequency resources. For user scheduling, firstly the users with correlated channels constitute an OFDMA user group. For a same OFDMA user group, BS allocates these frequency resources to the user with the best channel gain. Finally, spatial multiplexing users are selected to adequately utilize multiple RF chains. The proposed user scheduling algorithm can adapt to various HB algorithms. Simulation results show that the proposed user scheduling with HB can highly improve the performance of mmWave OFDMA massive MU-MIMO system. CCS Concepts • Computer systems organization➝Heterogeneous (hybrid) systems • Networks➝Mobile networks.
G-Cloud: A Highly Reliable and Secure IaaS Platform

Cloud computing has good prospects in many application fields, because it dramatically reduces the construction cost, brings data integration capability, and has efficient and flexible working models. One core layer of cloud platform is the IaaS layer. In this paper, an instance of IaaS platform is proposed, called G-Cloud, which is a cloud operating system and supports the virtualization and unified management of large-scale computing resources, storage resources, and network resources. We describe the design and implementation of this platform, focusing on its reliability and security. Experimental results of real applications show that its availability and throughput fulfill users' requirements. We hope this platform will be promoted in more fields.
Illumination Renderer http : / / lucille . sourceforge . net

This paper introduces a multi-platform and open source global illumination renderer called lucille. lucille implements recent global illumination algorithms such as Monte Carlo ray tracing, and photon mapping. It also includes a lot of functionality, for example, various BRDF models, HDRI lighting, parallel rendering, SIMDoptimized ray tracing, and so on. lucille inputs the scene data in the RIB format which is standard in the computer graphics community.
A comparative study of coronally advanced flaps with and without the addition of enamel matrix derivative in the treatment of marginal tissue recession.

BACKGROUND The primary aim of this randomized, controlled, clinical investigation was to evaluate the differences in clinical parameters of root coverage procedures utilizing coronally advanced flaps (CAF) with and without enamel matrix derivative (EMD). Another aim was to evaluate if EMD can influence keratinization of tissues utilizing these procedures. METHODS Fifty-eight contralateral sites in 17 patients with > or = 2 mm of Miller Class I, II, and III buccal marginal tissue recession were treated. Test sites received CAF plus EMD while control sites were treated with CAF only, with each patient serving as his own control. Patients were followed for 3 and 6 months. All data were analyzed using the method of generalized estimating equations. A P value <0.05 was considered significant (alpha = 0.05). RESULTS There was a mean increase in keratinized tissue of 0.60 mm for test sites and a mean decrease of 0.05 mm for control sites. Test sites demonstrated significantly better root coverage (P<0.001), 89.7% and 92.9% root coverage after 3 months and 6 months, respectively, while control sites had 56.6% and 66.8% root coverage after 3 months and 6 months, respectively. There was significantly more root coverage among test sites compared to control sites, regardless of arch or Miller classification. CONCLUSIONS Based on the results of this study, the application of enamel matrix derivative to denuded root surfaces receiving coronally advanced flaps significantly increased the percentage of root coverage compared to CAF without EMD. In addition, EMD application was accompanied by a significant increase in keratinized tissue 6 months after surgery.
Distortive effects of initial‐based name disambiguation on measurements of large‐scale coauthorship networks

Scholars have often relied on name initials to resolve name ambiguities in large‐scale coauthorship network research. This approach bears the risk of incorrectly merging or splitting author identities. The use of initial‐based disambiguation has been justified by the assumption that such errors would not affect research findings too much. This paper tests that assumption by analyzing coauthorship networks from five academic fields—biology, computer science, nanoscience, neuroscience, and physics—and an interdisciplinary journal, PNAS. Name instances in data sets of this study were disambiguated based on heuristics gained from previous algorithmic disambiguation solutions. We use disambiguated data as a proxy of ground‐truth to test the performance of three types of initial‐based disambiguation. Our results show that initial‐based disambiguation can misrepresent statistical properties of coauthorship networks: It deflates the number of unique authors, number of components, average shortest paths, clustering coefficient, and assortativity, while it inflates average productivity, density, average coauthor number per author, and largest component size. Also, on average, more than half of top 10 productive or collaborative authors drop off the lists. Asian names were found to account for the majority of misidentification by initial‐based disambiguation due to their common surname and given name initials.
Neuromarkers of anxiety and depression in a patient after neuro-ophthalmic surgery of the meningioma - effect of individually-tailored tDCS and neurofeedback.

UNLABELLED The aim of the study was to evaluate the effectiveness of individually tailored anodal tDCs/ neurofeedback protocol for the reduction of post-operative depression after a neuroophtalmological operation of the meningioma. The neuromarkers in Quantitative EEG (QEEG) and Event-related potentials (ERPs) were utilized in the construction of protocol and evaluation. CASE DESCRIPTION A 45-year-old female after successful neuro-ophthalmic surgery of the meningioma, complained of severe pain and anxiety, difficulties with sleeping, attention and memory problems, as well as inability to continue working in her given profession. Neuropsychological testing showed lack of cognitive disturbances and post-operative depression. Two working hypotheses were tested to find neuromarkers of depression and anxiety. In line with the 'depression hypothesis' a frontal alpha asymmetry pattern was found in the patient, and in line with the 'anxiety' hypothesis an increased left temporal P1 wave in response to visual stimuli was found in ERPs. A specific alpha asymmetry neurofeedback protocol combined with an anodal tDCS was suggested. Twenty sessions of individually-tailored anodal tDCs/ neurofeedback protocol were performed. The QEEG frontal asymmetry pattern and the excessive temporal P1 wave were normalized after the intervention. CONCLUSIONS The patient recovered from post-operative depression and returned to work after 20 sessions of the combined neurofeedback/tDCS protocol. Specific patterns of QEEG and ERPs serve as neuromarkers for constructing the protocol and for monitoring the results of intervention.
Participatory GIS — a people's GIS?

Recent years have witnessed a burgeoning of applications of GIS which grant legitimacy to indigenous geographical knowledge as well as to `official' spatial data. By incorporating various forms of community participation these newer framings of Geographical Information Systems as `Participatory GIS' (PGIS) offer a response to the critiques of GIS which were prevalent in the 1990s. This paper reviews PGIS in the context of the `democratization of GIS'. It explores aspects of the control and ownership of geographical information, representations of local and indigenous knowledge, scale and scaling up, web-based approaches and some potential future technical and academic directions.
Beta Adrenergic Signaling: A Targetable Regulator of Angiosarcoma and Hemangiosarcoma

Human angiosarcomas and canine hemangiosarcomas are highly aggressive cancers thought to arise from cells of vascular origin. The pathological features, morphological organization, and clinical behavior of canine hemangiosarcomas are virtually indistinct from those of human angiosarcomas. Overall survival with current standard-of-care approaches remains dismal for both humans and dogs, and each is likely to succumb to their disease within a short duration. While angiosarcomas in humans are extremely rare, limiting their study and treatment options, canine hemangiosarcomas occur frequently. Therefore, studies of these sarcomas in dogs can be used to advance treatment approaches for both patient groups. Emerging data suggest that angiosarcomas and hemangiosarcomas utilize beta adrenergic signaling to drive their progression by regulating the tumor cell niche and fine-tuning cellular responses within the tumor microenvironment. These discoveries indicate that inhibition of beta adrenergic signaling could serve as an Achilles heel for these tumors and emphasize the need to design therapeutic strategies that target tumor cell and stromal cell constituents. In this review, we summarize recent discoveries and present new hypotheses regarding the roles of beta adrenergic signaling in angiosarcomas and hemangiosarcomas. Because the use of beta adrenergic receptor antagonists is well established in human and veterinary medicine, beta blockade could provide an immediate adjunct therapy for treatment along with a tangible opportunity to improve upon the outcomes of both humans and dogs with these diseases.
Setting standards for effectiveness: a comparison of expert panels and decision analysis.

OBJECTIVE To compare criteria for coronary revascularization developed by the expert panel process and by decision analysis. METHOD We reviewed the medical records of 3080 chronic stable angina patients who either underwent coronary artery bypass graft surgery (CABG) or percutaneous transluminal coronary angioplasty (PTCA) and determined the agreement between appropriateness ratings made by two expert physician panels, one from the United States and the second from The Netherlands. We also evaluated the agreement between these panels' appropriateness ratings and a decision analytic model's effectiveness categories. RESULTS There was poor agreement between U.S. and Dutch panel appropriateness ratings for PTCA (kappa = 0.03) and slight agreement for bypass surgery (kappa = 0.18). Dutch ratings had substantial agreement with the decision analytic models effectiveness categories for both PTCA and CABG (kappa = 0.83 and 0.79, respectively) whereas there was no systematic agreement between U.S. ratings and the decision analytic model for PTCA and poor agreement for CABG (kappa = 0.00 and 0.18, respectively). CONCLUSIONS Although the level of agreement between expert panels and decision analysis on when a procedure is appropriate or effective may vary by procedure and the strength of the scientific evidence, we found that Dutch physicians agree much more strongly with decision analysis than U.S. physicians.
A Qualitative Analysis of Parent Observations of Children Diagnosed with a Developmental Speech Delay

The present study used qualitative (phenomenological) research methodology to obtain and analyze the “personal stories” of mothers of children with had received a diagnosis of either developmental apraxia of speech (DAS) or developmental phonological disorder (DPD). Using a semi-structured interview, six mothers of children with DAS and five mothers of children with DPD were asked to reflect on specific aspects of the development of their child over time, with emphasis on communication development and communication challenges. In addition to providing rich descriptions of performance, the present study addressed the proposition that DPD and DAS are separate disorders by examining the distinctiveness of the narratives obtained from the two parent groups. Developmental “threads” (e.g., motor development, behavior, characteristics of verbal output) were followed across three early developmental stages: the baby stage (infancy to age 2;0), the toddler stage (ages 2;1 to 3;11), and the preschool stage (ages 4;0 to 6;11). The results of the present study provide support for the perspective that the two diagnoses describe different sets of children. This difference can best be captured as additional deficits more commonly reported in DAS rather than problems that are unique to each subtype. That is, children who receive these diagnoses share many characteristics, particularly when young. However, for children considered to have DAS, additional problems, many outside of speech, are reported more frequently by mothers.
Near perfect solar absorption in ultra-thin-film GaAs photonic crystals

We present designs that enable a significant increase of solar absorption in ultra-thin (100–300 nm) layers of gallium arsenide. In the wavelength range from 400–860 nm, 90–99.5% solar absorption is demonstrated depending on the photonic crystal architecture used and the nature of the packaging. It is shown that using only two hundred nanometer equivalent bulk thickness of gallium arsenide, forming a slanted conical-pore photonic crystal (lattice constant 550 nm, pore diameter 600 nm, and pore depth 290 nm) packaged with SiO2 and deposited on a silver back-reflector, one can obtain a maximum achievable photocurrent density (MAPD) of 26.3 mA cm−2 from impinging sunlight. This corresponds to 90% absorption of all available sunlight in the wavelength range 400–860 nm. Our optimized photonic crystal design suggests that increasing the equivalent bulk thickness of GaAs beyond 200 nm leads to almost no improvement in solar absorption, while reducing it to 100 nm causes less than 10% reduction in MAPD. Light-trapping in the 200 nm conical pore photonic crystal provides solar absorption exceeding the Lambertian limit over the range of 740–840 nm. The angular dependence of the MAPD for both S- and P-polarizations is also investigated and shows no substantial degradation in the range 0–30°. More dramatic light-trapping and solar absorption is demonstrated in photonic crystals consisting of conical nanowires. Using 200 nm equivalent bulk thickness of GaAs (lattice constant 500 nm, cone base diameter 200 nm, and cone height 4.77 μm) packaged in SiO2 and deposited on a silver back-reflector, an MAPD of nearly 27 mA cm−2 is found. This corresponds to absorption of 96% of all available sunlight in the wavelength range 400–860 nm. A clear separation of the solar spectrum along the length of each nanowire is also evident. In the absence of SiO2 packaging, this MAPD increases to 28.8 mA cm−2, in excess of the corresponding Lambertian limit of 28.2 mA cm−2. Most remarkably we find that, if the equivalent bulk thickness of GaAs is increased to 300 nm, nearly 100% of relevant sunlight is absorbed by the conical nanowire photonic crystal.
Experimental evaluation of a fuzzy-set based measure of software correctness using program mutation

Experimental evaluation of software reliability models that depend on the source code of the target program is expensive due to the need for a large sample of programs. The authors have used program mutation to generate many versions of one of the more complex components comprising a hypothetical but realistic nuclear reactor safety control program. Trivial mutants were filtered by using branch and path testing. These programs were used to assess a fuzzy set based measure of program correctness. The results confirmed that the model is conservative. In addition, the experiments provided new insights into the model, including reassessment of its assumptions and directions for refining it. <<ETX>>
Dynamics of temporal anticipation in perception and action

The selective deployment of attention over time optimises our perception and action at the moments when relevant events are expected to happen. Such "temporal orienting" to moments when something is going to happen is especially useful when this information can be combined with predictions about where and what events are likely to occur. A large body of research has already established how temporal predictions dynamically influence our perception and action, but questions remain regarding the neural bases of these attentional mechanisms. In this thesis I present three magnetoencephalography (MEG) studies that I conducted to investigate anticipatory neural dynamics associated with spatial-temporal orienting of attention for perception and action. I also investigate and discuss how such anticipatory dynamics change with ageing and neurodegeneration in Parkinson's disease (PD), and how these anticipatory neural dynamics behave in situations where a complex, hidden spatial-temporal structure is present. In Chapter 1, I introduce the topic of this thesis by reviewing the literature on temporal orienting of attention and by introducing my specific research questions. In Chapter 2, I present an MEG study on anticipatory neural dynamics of joint spatial-temporal orienting of attention in the visual domain, in younger and older adults. This study shows that neural dynamics with spatial, temporal and spatial-temporal orienting are all differentially affected by ageing. In Chapter 3, I describe an MEG experiment that investigates anticipatory neural dynamics during spatial-temporal motor preparation and compares PD participants to healthy control participants. This study reveals that both behavioural and neural dynamics with temporal orienting are affected in PD. In Chapter 4, I describe an experiment that explores how an implicit spatial-temporal structure is utilised to predict and prepare for upcoming actions. This study shows that motor cortical excitability is dynamically modulated in anticipation of the location and timing of events, even when such expectations are hidden in complex visual-motor sequences that remain largely implicit. In Chapter 5, the General discussion, I place these results in their wider context and discuss limitations and future directions.
Kernel Isomap

Isomap [4] is a manifold learning algorithm, which extends classical multidimensional scaling (MDS) by considering approximate geodesic distance instead of Euclidean distance. The approximate geodesic distance matrix can be interpreted as a kernel matrix, which implies that Isomap can be solved by a kernel eigenvalue problem. However, the geodesic distance kernel matrix is not guaranteed to be positive semideﬁnite. In this letter we employ a constant-adding method, which leads to the Mercer kernel-based Isomap algorithm. Numerical experimental results with noisy ”Swiss roll” data, conﬁrm the validity and high performance of our kernel Isomap algorithm.
Perceived injustice and its impact on job outcomes : role of jealousy and self-efficacy

Organizational injustice remains a matter of great concern due to its adverse effects on job outcomes. Extant research devoted much attention to investigate how perceptions of injustice impact employee attitudes and behaviours, but mostly through cognitive lens. However, examining the role of emotions between injustice and job outcome relationship remained a neglected area. More importantly, most of justice research has been conducted in western social context, giving rise to suspicions about validity of earlier research findings outside the social conditions of west. Therefore, this research seeks to test the validity of earlier research findings in justice-outcome relationships in the socio-cultural context of Pakistan i.e., outside the social conditions of west. It also investigates the unexplored mediating role of commonly experienced negative emotion of jealousy between the relationship of three injustice dimensions and job outcomes such as workplace deviance, turnover intentions and job performance. This study also explores the moderating role of self-efficacy in regulating the deleterious effects of jealousy on job outcomes relationships. This study surveyed 388 employees of a leading banking organization in Pakistan while using data from multiple sources to address the issue of common method variance. Using PLS-SEM, the findings of this study support majority of our hypotheses. The results of study show the validity of earlier research findings regarding injustice-job outcomes relationships and suggest importance role of distributive and interactional injustice in negatively influencing job outcomes such as workplace deviance, turnover intentions and job performance, whereas procedural injustice was found to negatively impact only job performance. The results of this research also show that jealousy can mediate the negative impact of distributive and interactional injustice on job outcomes such as workplace deviance, turnover intentions and job performance, but jealousy was not found to have a mediating role between procedural injustice-job outcome relationship such as workplace deviance, turnover intentions and job performance. The findings also demonstrate that self-efficacy can help in regulating the negative effects of jealousy on employee job performance, although self-efficacy is found to have a moderating role in regulating the effects of jealousy on workplace deviance with low to medium levels of jealousy experience. The research makes several important contributions to the justice literature: first, this study tests the validity of extant research findings regarding injustice-job outcomes relationships in the socio-cultural context of Pakistan; second, this study makes first empirical investigation of how and when jealousy explicates the effects of injustice perceptions on key job outcomes; third, it suggests a mechanism to regulate the deleterious effects of jealousy on key job outcomes. The findings are finally concluded with reference to their theoretical and managerial implications.
Neutrino-induced electroweak symmetry breaking in supersymmetric SO(10) models

The radiative electroweak symmetry breaking, the unification of third-generation Yukawa couplings, and flavor-changing rare decay are investigated in two types of supersymmetric SO(10) scenarios taking into account of the effects of neutrino physics, i.e. the observed large generation mixing and tiny mass scale. The first scenario is minimal, including right-handed neutrinos at intermediate scale with the unification of third-generation Yukawa couplings. Another is the case that the large mixing of atmospheric neutrinos originates from the charged-lepton sector. Under the SO(10)-motivated boundary conditions for supersymmetry-breaking parameters, typical low-energy particle spectrum is discussed and the parameter space is identified which satisfies the conditions for successful radiative electroweak symmetry breaking and the experimental mass bounds of superparticles. In particular, the predictions of the bottom quark mass and the b→sγ branching ratio are fully analyzed. In both two scenarios, new types of radiative electroweak symmetry breaking are achieved with the effects of neutrino couplings. The Yukawa unification becomes compatible with the bottom quark mass and the experimental constraints from flavor-violating rare processes, and the hierarchical superparticle mass spectrum is obtained.