Miracle-dz/UniFAR-FTUs huggingface dataset:
CommonLang: A DSL for Defining Robot Tasks

Robots are becoming more and more complex and heterogeneous; their abilities and domains of usage are increasing exponentially. Programming these robots requires special skills and usually does not follow standard software engineering methodologies. Adhering to modeldriven software engineering principles, definition of robot behaviour is abstracted and represented in models while robot-specific code is generated from these models using code generation. With a robot modelling framework, we can work on a higher abstraction level making the task of programming complex heterogeneous robots more efficient. In this paper, we present such a modelling framework and evaluate its flexibility by extending it with wireless communication functionalities.
Manual of Diseases of the Ear

in the head," " nasal and post nasal catarrh," " affections of the naso-pharynx," "adenoid conditions of the pharynx," are all closely related to morbid states of the middle and internal ear. On each of these subjects separate essays have appeared. All this but proves the rapid strides which aural surgery has made during the past decade. The publication, therefore, of a new Manual has induced us critically to examine the work before
Artificial Intelligence in Simple Command: Miposaur Product in Indonesia

Artificial intelligence is not far method from our everyday lives. In Indonesia, artificial intelligence is still used from complex until simple command and for this paper we would like to give analytical review for Miposaur robot product in Indonesia. To analyze its artificial intelligence, this paper is using the basic definition of artificial intelligence from Leon [7], Banerjee, and Allen [2]. In Indonesia, we have Sistem Pertahanan Republik Indonesia (Sishanneg/ Indonesian National Defense System) that clearly puts artificial intelligence as one of tools to gain fully Indonesian purpose, mandated in 1945 Indonesian Constutional Law. Hereby the government has budget and satuan kerja/ work unit to support the using of artificial intelligence, both in military or non-military and we are still ongoing to gain the perfect regulation to manage the existence ofAI.
Small-Cell Networks With Fractal Coverage Characteristics

To meet massive wireless traffic demand in the future fifth generation (5G) cellular networks, small-cell networks are emerging as an attractive solution for 5G network deployments. The cellular coverage characteristic is a key issue for the deployment of the small-cell networks. Considering the anisotropic path loss in wireless channels of real cellular scenarios, in this paper the fractal coverage characteristic is first used to evaluate the performance of the small-cell networks. Moreover, the coverage probability, average achievable rate, and the area spectral efficiency are derived for fractal small-cell networks. Compared with the average achievable rate and area spectral efficiency with isotropic path loss models, the average achievable rate and area spectral efficiency with anisotropic path loss models have been underestimated in the fractal small-cell networks. Considering the impact of the anisotropic path loss on wireless channels, most of performances of wireless cellular networks need to be re-evaluated. This paper provides a tractable method to investigate the performance of the small-cell networks with fractal coverage characteristics.
A Review on the Role of Water Diffusion Modeling in Magnetic Resonance Imaging of Prostate Cancer

Prostate Cancer (PCa) is among of the tumors with highest incidence in men. Diagnosis of PCa is usually based on different techniques as digital rectal examination, prostate-specific antigen (PSA), transrectal ultrasonography, Magnetic Resonance Imaging (MRI) and transrectal biopsy. Thanks to its intrinsic ability to obtain anatomical, functional and molecular information, MRI is one of the most spread and powerful tools to diagnosis and staging of PCa. In particular, Diffusion-Weighted Imaging (DWI) MRI technique allows to obtain images with contrast depending on the microscopic mobility of water molecules in tissue, probing the microscopic structure. Moreover, from DWI images is possible to quantify the Apparent Diffusion Coefficient of water (ADC) using different diffusion models, as “Mono-exponential”, “Bi-exponential”, “Kurtosis”, “Gamma distribution” and “Stretched exponential”, all of them based on different assumptions on the water mobility in the tissue microenvironment. Despite that the diagnostic and prognostic power of some of these models be known, a clear connection with the physical, biological and physiological underlying features is lacking. In this work we will review all these models, showing results for patients suffering PCa, for which we have a complete clinical picture thanks to transrectal biopsy and other examinations.
Directed Differentiation of Human Mesenchymal Stem Cells into Chondrocytes Using Micropatterning Method

The necessity of chondrocytes can be obtained by inducing Mesenchymal Stem Cells (MSCs) using internal and external stimuli. In this research, MSC was directed to be differentiated on modified substrate and L-ascorbic acid addition. The objective of this research is to direct human MSCs (hMSCs) to become chondrocytes on modified substrates by qualitative and quantitative evaluation using several spesific markers. Mesenchymal stem cells were obtained from adipose tissue (ADMSC). Cell stemness was evaluated using flow cytometry and multipotency analysis. Micropatterned substrate was developed using Parafilm™ by doing mechanical method and pith size was measured after getting Scanning Electron Microscope (SEM) image and analyzedusing imageJ. The cells were seeded in 2.4× 104 cells/mL and incubated for 12 days. The expression of Collagen II was observed by immunocytochemistry method and sulphated-GAG using Alcian Blue Staining on day 6 and day 12. Cell morphology was observed using SEM imaging. ADMSCs were successfully obtained from adipose tissue and complied the mesenchymal stem cellscriteria. The micropatterned substrate was well developed using Parafilm™ and could be used to modify the substrate because ADMSCs were only attached on pith (P) that was not covered by Parafilm™. ADMSCs expressed Collagen II and GAG on day 6 and 12 of observation.The cells morphology also confirmed that chondrogenicdifferentiation was affected by seeding density because ADMSCs were found in more rounded shape and also expressed more Collagen II in narrow pith than in widepith.
Intraductal patient‐derived xenografts of estrogen receptor α‐positive breast cancer recapitulate the histopathological spectrum and metastatic potential of human lesions

Estrogen receptor α‐positive (ER‐positive) or ‘luminal’ breast cancers were notoriously difficult to establish as patient‐derived xenografts (PDXs). We and others recently demonstrated that the microenvironment is critical for ER‐positive tumor cells; when grafted as single cells into milk ducts of NOD Scid gamma females, >90% of ER‐positive tumors can be established as xenografts and recapitulate many features of the human disease in vivo. This intraductal approach holds promise for personalized medicine, yet human and murine stroma are organized differently and this and other species specificities may limit the value of this model. Here, we analyzed 21 ER‐positive intraductal PDXs histopathologically. We found that intraductal PDXs vary in extent and define four histopathological patterns: flat, lobular, in situ and invasive, which occur in pure and combined forms. The intraductal PDXs replicate earlier stages of tumor development than their clinical counterparts. Micrometastases are already detected when lesions appear in situ. Tumor extent, histopathological patterns and micrometastatic load correlate with biological properties of their tumors of origin. Our findings add evidence to the validity of the intraductal model for in vivo studies of ER‐positive breast cancer and raise the intriguing possibility that tumor cell dissemination may occur earlier than currently thought. © 2018 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland.
Impact of Piracy on Music Sales in Digital Music Transformation - A Systematic Literature Review

In the transformation of music from analog to digital, there are a lot changes on how music can be obtained, driven by technological advancement. Sadly, with the many feature and easiness of use in digital music bestowed by new technology, also comes with the rampart of music piracy. Whether unknowingly or intentional, this piracy has raised concern the declining of music sales in the recent years. Many researches have studied about the relation of piracy and its impact on music sales, but those studies some has a contradictory result. This research tries to study on those phenomena by making a comprehensive systematic literature review on research that studies on the impact of piracy on music sales in digital music transformation in hope to find a more clear and thorough knowledge regarding this matter.
New Insights Into Soft-Faults Induced Cardiac Pacemakers Malfunctions Analyzed at System-Level via Model Checking

Progressive shrinking of CMOS device sizes has permitted reductions in power consumption and miniaturization of electronic devices. In parallel, modern pacemakers implemented with advanced technologies have proved to be more sensitive than earlier models to soft errors induced notably by external radiations. Traditionally, the analysis of the impact of soft faults (SFs), such as those induced by single-event upsets, on the behavior of pacemaker devices, has been carried out by dynamic radiation ground testing and clinical observations. However, these techniques are expensive. They can only be done very late in the design cycle, after the design is manufactured and in part after it is implanted. This paper presents a new model-based analysis of the impact of SFs on the behavior of cardiac pacemakers at a system level. It is performed by: 1) introducing a new probabilistic timed automata (PTA) model; 2) verifying this model against a set of functional properties to ensure it meets its specifications under normal conditions; 3) applying a new methodology to inject SFs at a certain time in the PTA model of the pacemaker and to verify their impact on the pacemaker’s behavior is introduced; and 4) identifying different scenarios for SFs that may lead to malfunction, including oversensing, undersensing, and output failure. The reported formal modeling is done in PRISM and the analysis is done with the Storm model checker.
A Storage-level Detection Mechanism against Crypto-Ransomware

Ransomware represents a significant threat to both individuals and organizations. Moreover, the emergence of ransomware that exploits kernel vulnerabilities poses a serious detection challenge. In this paper, we propose a novel ransomware detection mechanism at a storage device, especially a flash-based storage device. To this end, we design a new buffer management policy that allows our detector to identify ransomware behaviors. Our mechanism detects a realistic ransomware sample with little negative impacts on the hit ratios of the buffers internally located in a storage device.
Projection-Based AR: Effective Visual Feedback in Gait Rehabilitation

Effective real-time feedback is crucial to enhance motor learning in physical and cognitive rehabilitation. Although monitor-based (MB) platforms are widely used to provide visual feedback for users, the discrepancy between where the feedback is presented and where the actual movement occurs can negatively affect the use of feedback. In this paper, we propose a novel visual feedback system using projection-based augmented reality (AR) to provide a better understanding of the relationship between body perception and movement kinematics. A set of experiments were performed to assess and compare the ability of unimpaired and impaired participants to detect real-time feedback and make modifications to gait using this feedback in MB and AR platforms. The results showed a significant improvement in participants’ ability to better adapt the changes in projection-based AR than MB. This improvement represents the efficacy of this system in enabling users to better synchronize their foot–eye coordination.
Managing AAA in NFV/SDN-enabled IoT scenarios

This paper proposes a novel policy-based framework to manage Authentication, Authorization and Accounting (AAA) and Channel Protection security functions in IoT networks enabled with Software defined Networks (SDN) and Network Function Virtualization (NFV) technologies. The virtual AAA, including network authenticators, are deployed as VNF dynamically at the edge, facilitating the devices’ bootstrapping and ruling the access control of IoT devices to the network. The enforcement of network authorization decisions in the virtual switches is carried out through SDN. Moreover, the proposed softwarized and centralized channel protection management solution allows distributing dynamically the necessary cryptokeys for IoT M2M communications, in order to establishing DTLs tunnels among IoT devices, whenever demanded by the cybersecurity framework.
On transfer learning using a MAC model variant

We introduce a variant of the MAC model (Hudson and Manning, ICLR 2018) with a simplified set of equations that achieves comparable accuracy, while training faster. We evaluate both models on CLEVR and CoGenT, and show that, transfer learning with fine-tuning results in a 15 point increase in accuracy, matching the state of the art. Finally, in contrast, we demonstrate that improper fine-tuning can actually reduce a model's accuracy as well.
56-Gb/s Silicon Optical Receiver Using a Low-Noise Fully-Differential Transimpedance Amplifier in SiGe SiCMOS

We present a silicon optical receiver consisting of a low-noise fully-differential transimpedance amplifier with on-chip biasing for a SiPh Ge PD. Error-free $(BER < 10^{-12})$ 56Gb/s NRZ operation is demonstrated with a record OMA sensitivity of −10.2dBm at 170mW.
Super-resolution based on a new approach for thoracic motions correction in cardiac PET

In several studies applying super-resolution to the field of thoracic motions correction in PET imaging, the estimation of the inter-frame motions are based on noisy PET images resulting from the gating process. Consequently, this leads to inaccurate motion estimation. The usage of 4D CT images for the motion estimation is unacceptable either due to increase of radiation exposure. The New Approach for simultaneous respiratory and cardiac Motion Correction (NAMC) is a method recently introduced as gating alternative. Motivated by its high SNR, and contrast, super-resolution algorithm based NAMC approach is proposed (NAMC-SR). The NAMC-SR method is evaluated in comparison to standard Gating-Based Super-resolution using realistic PET imaging using GATE simulation of the thorax with respiratory and cardiac motions simulated the thorax digital phantom (XCAT). The comparison between the NAMC-SR and Gating-Based Super-resolution approaches showed that the NAMC-SR is far better in terms of resolution, SNR and the motion compensation accuracy. Therefore, this new approach will have its positive impact on solving the problem of respiratory and cardiac motions in thoracic PET imaging and the improvement of its quality.
Action Recognition by 3D Convolutional Network

In this paper we focused on sport action recognition with 3D convolutional network. We executed two different experiments. In the first experiment we distinguished two similar activities: running and walking. The experiment proved that 3D convolutional network is able to learn spatio-temporal features of video sequence. We compared three different 3D convolutional networks and the best accuracy was achieved by architecture Al reached 85%. The second experiment was performed on subset of UCF101 dataset. We selected 15 activities. Architecture A1 achieved accuracy 80.7%. Our results show that it is possible to achieve relatively high accuracy using subtile architecture of 3D convolutional network.
$In~Situ$  High-Resolution Measurement of HFR Nuclear Fuel Plates’ Spacing

Most of the high-performance research reactors are made of plates undergoing limited structural modifications during irradiation. Measuring the fuel thickness or the interplate distance is then a promising way to obtain information on the fuel element irradiation history. The experimental constraints are, however, quite heavy due to the aimed resolution and the element geometry. In order to perform such measurements, a high-resolution ultrasonic device was designed. It was thinned down to a 1 mm thickness in order to be inserted into the reactor water channel. The system was then excited with a 120-MHz central frequency burst and distance measurements were carried out through ultrasonic waves’ time-of-flight estimations. A series of experiments was performed on a full-size irradiated fuel element of the “Institut Laue–Langevin” reactor proving the feasibility of real-time in situ measurements.
Real Experiments in a MOOC Through Remote Lab VISIR: Challenges, Successes and Limits

Online Education has proven that can provide rich learning environments and stimulating experiences. However, the inherent physical distance in online education/learning complicates the learning process in some educational areas. This is the case of subjects related to technical aspects, in which the knowledge cannot be attained only through ideal models. Traditionally, this disadvantage has been alleviated by the substitution of real labs by simulators, however, simulators still obey a model. More recently, remote labs -real instruments and equipment, performing experiments in real environments, which are controllable remotely- grant the opportunity to provide real labs in online courses. The availability -both, temporal (24/7) and geographical- is the key feature in which remote laboratories lie. This aspect makes remote lab an ideal tool for online education/learning and, in most cases, the unique way to provide a contact with real devices in a 100% online educational model. This is nevertheless false in courses in which scalability is a requirement. Massive Open Online Courses (MOOCs) inherit the advantages and disadvantages of online education/learning approach. However, scalability is a must in MOOCs and remote labs, as any other real system, have physical limitations. In this paper, we will show the integration of a remote lab in a MOOC and how the physical limitations of a real environment have been overcome.
Mining for Psycho-Social Dimensions through Sociolinguistics

Communication is social by nature, and reveals psycho-social dimensions about an actor’s perceptions of themself and others. While grammar and spell-check can help polish the presentation of communication, it does not reflect the way that a message will be received in a particular social space. A means to analyze the communication for actor beliefs can help the author and others understand the underlying social climate and message that is being transmitted. NASA has identified the need to monitor individual behavioral health and team dynamics as crucial to ensuring high performance and mission success. We describe an application that integrates theories from sociolinguistics with natural language processing techniques to successfully detect individual moods, attitudes, and team dynamics relevant to long duration exploration class missions. The methods were used to analyze data gathered from human subject experiments at three diverse analog studies, with results showing high correlation with subject self-reports and third party observations. We discuss preliminary results and implications for the tool’s potential wide-spread use.
Brain Volumes and Developmental Outcome in Childhood Following Fetal Growth Restriction Leading to Very Preterm Birth

Background: Children born very preterm (PT) after fetal growth restriction (FGR) exhibit cognitive impairment at early school age. The relationship between neurodevelopmental impairment and attained regional brain volumes is unknown. Methods: We studied 23 preterm children with FGR (PT-FGR), 24 matched preterm children AGA (PT-AGA), and 27 matched term AGA children (T-AGA) by measuring brain volumes with magnetic resonance imaging at early school age. Cognitive and motor functions were assessed by the Wechsler Intelligence Scales for Children and the ABC-Movement score. Results: The mean (SD) full-scale IQ was 80 (17) in the PT-FGR group and 103 (12) in the PT-AGA group (p < 0.001). The PT-FGR group had lower mean total, gray matter, white matter, thalamic, cerebellar white matter, and hippocampal volumes as compared to the T-AGA group (p = 0.01, 0.04, 0.003, 0.002, 0.001, and 0.009, respectively). Brain volumes did not differ significantly between the PT groups. Reduction of hippocampal volume correlated with degree of growth restriction at birth (r = 0.46, p = 0.05). Neither the full-scale IQ nor the ABC movement score <5th percentile were related to brain volumes. Conclusion: Brain volumes as determined by MRI at early school age were primarily associated with degree of prematurity at birth and less with FGR. Regional brain volumes did not discriminate cognitive and motor function beyond that predicted by gestational age at birth.
Associations Between IL-10 Polymorphisms and Susceptibility to Melanoma, Basal Cell Carcinoma, and Squamous Cell Carcinoma: A Meta-Analysis.

BACKGROUND According to relevant reports, interleukin-10 (IL-10), as a multifunctional anti-inflammatory cytokine, has a critical influence in cancer development. A meta-analysis was carried out regarding the relationships among the -592 A/C, -1082 G/A, and -819 T/C polymorphisms as well as the susceptibility to skin squamous cell carcinoma (sSCC), melanoma, and basal cell carcinoma (BCC). MATERIALS AND METHODS A meta-analysis was carried out on the inter-relationships among the -592 A/C, IL-10-1082 G/A, and -819 T/C polymorphisms as well as the susceptibility to sSCC, melanoma, and BCC. RESULTS In this analysis, a total of 11 researches, involving 2149 controls and 2128 cases, were included. No association was found between skin cancer risk and the -592A/C or IL-10-1082G/A polymorphisms in any of the analyses. However, a moderately decreased skin cancer risk was found in the -819 TC versus CC model (odds ratio [OR] = 0.81 and 95% confidence interval [CI] = 0.67-0.99, p = 0.04). From the subgroup analysis, a decreased risk was found between the studies of nonmelanoma skin cancers and IL-10-819T/C in the dominant model (OR = 0.60, 95% CI = 0.43-0.85, p = 0.004 for TT+TC vs. CC). Egger's and Begg's tests demonstrated that there was no significant publication bias. CONCLUSION This meta-analysis showed that the -592A/C and 1082G/A IL-10 polymorphisms might not be risk factors for melanoma or for BCC and sSCC patients, but we obtained a correlation between skin cancer risk and the IL-10 -819T/C polymorphism.