Miracle-dz/UniFAR-FTUs huggingface dataset:
IRAS 16293–2422B: A Compact, Possibly Isolated Protoplanetary Disk in a Class 0 Object

Theoretical arguments suggest that protoplanetary disks around young stars should start small and grow with the addition of high angular momentum material to reach the radii of several hundred AU that characterize the disks around optically visible T Tauri stars. Examples of much more compact disks, with radii much less than 100 AU, have been found around some very young stars, but in all cases tidal truncation from a near binary companion provides a ready explanation for the small disk size. We report here an example of a compact, possibly isolated disk around the Class 0 object IRAS 16293-2422B, which is thought to be among the youngest protostars known. This disk has a Gaussian half-power radius of only ~8 AU, and a detailed, self-consistent accretion disk model indicates an outer radius of only 26 AU. This discovery supports the notion that protoplanetary disks start small and grow with time, although other explanations for the compact size cannot be ruled out, including gravitational instability in its outer parts and tidal truncation from the close approach of a now distant stellar companion.
Sequential Summarization: A Full View of Twitter Trending Topics

As an information delivering platform, Twitter collects millions of tweets every day. However, some users, especially new users, often find it difficult to understand trending topics in Twitter when confronting the overwhelming and unorganized tweets. Existing work has attempted to provide a short snippet to explain a topic, but this only provides limited benefits and cannot satisfy the users' expectations. In this paper, we propose a new summarization task, namely sequential summarization, which aims to provide a serial of chronologically ordered short sub-summaries for a trending topic in order to provide a complete story about the development of the topic while retaining the order of information presentation. Different from the traditional summarization task, the numbers of sub-summaries for different topics are not fixed. Two approaches, i.e., stream-based and semantic-based approaches, are developed to detect the important subtopics within a trending topic. Then a short sub-summary is generated for each subtopic. In addition, we propose three new measures to evaluate the position-aware coverage, sequential novelty and sequence correlation of the system-generated summaries. The experimental results based on the proposed evaluation criteria have demonstrated the effectiveness of the proposed approaches.
Arterial oxygen saturation, COPD, and cerebral small vessel disease

Objective: To study whether lower arterial oxygen saturation (SaO2) and chronic obstructive pulmonary disease (COPD) are associated with cerebral white matter lesions and lacunar infarcts. Methods: We measured SaO2 twice with a pulse oximeter, assessed the presence of COPD, and performed MRI in 1077 non-demented people from a general population (aged 60–90 years). We rated periventricular white matter lesions (on a scale of 0–9) and approximated a total subcortical white matter lesion volume (range 0–29.5 ml). All analyses were adjusted for age and sex and additionally for hypertension, diabetes, body mass index, pack years smoked, cholesterol, haemoglobin, myocardial infarction, and left ventricular hypertrophy. Results: Lower SaO2 was independent of potential confounders associated with more severe periventricular white matter lesions (score increased by 0.12 per 1% decrease in SaO2 (95% confidence interval 0.01 to 0.23)). Participants with COPD had more severe periventricular white matter lesions than those without (adjusted mean difference in score 0.70 (95% confidence interval 0.23 to 1.16)). Lower SaO2 and COPD were not associated with subcortical white matter lesions or lacunar infarcts. Conclusion: Lower SaO2 and COPD are associated with more severe periventricular white matter lesions.
The Effects of Conditioning Three-Dimensional Stimuli on Identity Matching and Imitative Responses in Young Children With Autism Spectrum Disorder

We tested the effects of conditioning 3-dimensional objects as reinforcers on imitation and match to sample responses of young children with autism. Three children between the ages of 2 and 4.8 years who attended a center-based Early Intervention or preschool program participated in the study. The 3-dimensional object conditioning procedure involved the participants visually tracking preferred and nonpreferred items that were placed under transparent and opaque cups. The cups were then rotated a set number of times per phase. Results showed that for all 3 participants, the 3-dimensional conditioning procedure was functionally related to increases in generalized 3-dimensional matching and object use imitation. Decreases in instructional trials to criterion were noted for 2 of the 3 participants as well. The results are discussed in terms of observing and attending and the effects on reliable assessment and programmatic planning.
Flexible Modular Robotic Simulation Environment For Research And Education

In this paper a novel GUI for a modular robots simulation environment is introduced. The GUI is intended to be used by unexperienced users that take part in an educational workshop as well as by experienced researchers who want to work on the topic of control algorithms of modular robots with the help of a framework. It offers two modes for the two kinds of users. Each mode makes it possible to configure everything needed with a graphical interface and stores configurations in XML files. Furthermore, the GUI not only supports importing the user’s control algorithms, but also provides online modulation for these algorithms. Some learning techniques such as genetic algorithms and reinforcement learning are also integrated into the GUI for locomotion optimization. Thus, its easy to use, and its scalability makes it suitable for research and education.
Virtualization in Intrusion Detection Systems: A Study on Different Approaches for Cloud Computing Environments

Summary This article presents an overview of some of the major works that focus on the use of virtualization in intrusion detection systems to protect against threats in cloud computing environments. The elasticity and abundant availability of computational resources are attractive to attackers in order to exploit vulnerabilities of the cloud, and launch attacks against legitimate users to gain access to private and privileged data. To effectively protect the cloud users, an IDS should have the ability to expand, increase or rapidly decrease the quantity of sensors according to the quantity of resources, as well as the ability to isolate access to the system levels and infrastructures. For this purpose, characteristics of virtual machines as quick startup, fast recovery, stop, migration between different hosts and execution across multiple platforms can be exploited in VM-based IDS, making it a great alternative for monitoring intrusions in cloud computing environments.
PENGALAMAN COPING TERHADAP DIAGNOSIS KANKER PADA PENDERITA USIA KERJA DI RUMAH SAKIT MARGONO SOEKARJO PURWOKERTO

Penelitianinibertujuan untuk mendeskripsikan pengalaman koping terhadap diagnosis pasien penderita kanker yang berada pada usia kerja. Penelitian ini menggunakan pendekatan kualitatif fenomenologis dengan metode analisis IPA ( Interpretative Phenomenological Analysis ). Subjek dalam penelitian ini berjumlah empat orang yakni pasien penderita kanker yang sedang menjalani Radioterapi di Rumah Sakit Margono Soekarjo Purwokerto dengan rentang umur 35 sampai 50 tahun (usia produktif). Subjek dipilih menggunakan teknik purposive sampling. Hasil penelitian menemukan bahwa pengalaman yang dialami dan pemaknaan yang dibentuk oleh masing-masing subjek akan berbeda dikarenakan beberapa faktor yang mempengaruhi situasi dan kondisi yang dialami subjek, yaitu a) perasaan kaget dan stres menjadi faktor yang muncul ketika subjek didiagnosis penyakit kanker, dan memiliki anggapan bahwa kanker merupakan penyakit yang parah dan sulit menemui kesembuhan dan akan berujung pada kematian; b) pemilihan strategi coping dimunculkan subjek untuk menghadapi kondisi stres tersebut, seperti mengisi kesibukan dan memperbanyak kegiatan spiritual; c) dukungan sosial serta penerimaan dirimenjadi titik penting bagi subjek dalam memaknai penyakit kanker yang diderita, dukungan dari keluarga dianggap sebagai bentuk dukungan yang paling berpengaruh bagi subjek; d) subjek yang bekerja sebagai buruh dan guru kursus swasta, kendala biaya pengobatan merupakan masalah yang muncul dibandingkan dengan subjek dengan pekerjaan sebagai PNS, biaya pengobatan yang dikeluarkan dirasa cukup banyak sehingga memerlukan biaya tambahan untuk mencukupi biaya pengobatan tersebut. Keempatsubjek menunjukkan pemaknaan dan memiliki pengalaman yang beragam di aspek kehidupannya.
Interaction Between Auditory and Visual Information Sources in Word Identification

An independence model of interaction of auditory and visual word presentation for word identification was examined. In general, the obtained word identification scores were consistently higher than the scores predicted by the independence model, but the overall differences between obtained and predicted scores was small, and easily accounted for by partially correct solutions. The effect of pooling across scores over subjects and over test conditions is to reduce slightly the magnitude and consistency of the difference between the predicted and obtained scores.
Spreadable Spectacle in Digital Culture: Civic Expression, Fake News, and the Role of Media Literacies in “Post-Fact” Society

This article explores the phenomenon of spectacle in the lead up and immediate aftermath of the 2016 U.S. presidential election. Through the spread of misinformation, the appropriation of cultural iconography, and the willing engagement of mainstream media to perpetuate partisan and polarizing information, the proliferation of populist rhetoric, polarizing views, and vitriolic opinions spread. Revisiting the world of critical theorist Guy Debord, this article argues that the proliferation of citizen-drive spectacle is unique in its origination and perpetuation, and a direct result of an increasingly polarized and distrustful public spending an increasing amount of time in homophilous networks where contrarian views are few and far between. We apply the frame of spreadable media to explore how citizen expression online initiated, sustained, and expanded the media spectacle that pervaded the 2016 U.S. presidential election. The conclusion of this work argues that media literacies, as a popular response mechanism to help cultivate more critical consumers of media, must be repositioned to respond to an era of partisanship and distrust. We present a set of considerations for repositioning the literacies to focus on critique and creation of media in support of a common good, and that can respond meaningfully in an era of spreadability, connectivity, and spectacle.
An innovative robotic gripper for grasping and handling research

A planar robotic gripper suitable for research in the grasping and handling of a wide variety of objects has been developed. The design has two fingers, four links, and two actuators but can be directly extended to more links while keeping the number of actuators unchanged. This robotic end effector exhibits two distinctive features. First, it utilizes a fewer number of actuators than it has degrees of freedom, thus providing quantifiable savings in weight, size, complexity and cost. Second, it is capable of conforming to different shapes and sizes of objects through autonomous, sequential switching of the actuator drives between links. The design, construction and research applications of the hand are described. Experimental results with the robotic hand show close agreement with computer simulations. <<ETX>>
Cybercrime profiling: Text mining techniques to detect and predict criminal activities in microblog posts

The exponential development in online social media allows users around the globe the possibility to share and communicate information and ideas freely in different formats of data via internet. This emerging media has become a dominant communication tool and it has been used as a communication channel in several events, especially “The Arab Spring” and BOSTON'S attack etc. In order to develop useful profiles of different cybercriminals, text mining techniques is an effective way to detect and predict criminal activities in microblog posts taking account the problems of data sparseness and semantic gap. The hashtags used on Twitter (e.g., #arabspring, #BostonAttack) contains outstanding indicators to detect events and trending topics especially to target and detect suspicious topics and eventual illegal events. Similarity approach is used in text analysis to detect suspicious posts in microblog publications. The evaluation of our proposed approach is done within real posts.
DECENTRALIZED ROBUST CONTROL DESIGN FOR SPATIALLY INTERCONNECTED SYSTEMS WITH UNCERTAINTIES

This paper presents a novel decentralized control design method for spatially interconnected systems with external disturbances and model uncertainties. The uncertainties in both local subsystems and their interconnections are considered. Sufficient conditions are presented for the stability of spatially interconnected systems with guaranteed performance. The condition for the existence of decentralized robust controllers is also proposed. The main advantage is that the resulting decentralized controllers have the cooperative control capability, which is required in many applications of spatially interconnected systems. Another advantage lies in low computation cost, for the conditions are expressed as linear matrix inequalities (LMIs) which only contain the parameters of the local subsystem. Simulation results are provided to demonstrate the effectiveness of the proposed approaches.
Inhaled L-arginine improves exhaled nitric oxide and pulmonary function in patients with cystic fibrosis.

RATIONALE Nitric oxide formation is deficient in airways of patients with cystic fibrosis (CF). Since nitric oxide has bronchodilatory effects, nitric oxide deficiency may contribute to airway obstruction in CF. OBJECTIVES We reasoned that inhalation of l-arginine, the precursor of enzymatic nitric oxide formation, could improve airway nitric oxide formation and pulmonary function in patients with CF. MEASUREMENTS Exhaled nitric oxide, pulmonary function, and peripheral oxygen saturation were measured before and after a single inhalation of nebulized l-arginine solution in patients with CF and in healthy subjects. A saline solution of similar osmolarity (1.7%) was used as control. RESULTS Nebulized l-arginine not only significantly increased exhaled nitric oxide concentrations but also resulted in a sustained improvement of FEV(1) in patients with CF. Oxygen saturation also increased significantly after the inhalation of l-arginine. Nebulized saline resulted in a small but significant increase in exhaled nitric oxide but a decrease in FEV(1) in patients with CF. In control subjects inhalation of l-arginine increased exhaled nitric oxide concentrations, but FEV(1) decreased. No effect of saline on exhaled nitric oxide, pulmonary function, or oxygen saturation was observed in healthy subjects. CONCLUSIONS These data suggest that a single inhalation of l-arginine acutely and transiently improves pulmonary function in CF through the formation of nitric oxide. Augmentation of airway nitric oxide formation by inhalation of l-arginine is a promising therapeutic approach in patients with CF.
A chronological transformation of data center project management

Different standards of process planning and control of data integration is always happening in all organizations which rely on paper works or electronic transactions. Since implementation of utility facility infrastructures and hardware/software applications is deployed on a different period. It can cause of service interruptions from many reasons for example, hardware failure or incompatibility, software failure or incompatibility, human error, upgrading system, and incompatible functions of system integration. To understand of ecological system malfunctions and system failures, we need to realize on each level of user requirements, application design, utility facility design, system configurations, system integration, system operations, system maintenance, and service quality management to increase the system reliability and robust system operations. This research proposes ecosystem model of data center project management (DCPM) in terms of total integrated system from user requirements, design and planning, implementation, monitoring and controlling, throughout the system operations and delivering service quality. Primary investigations via data processing and interview with data center experts and secondary literature reviews were conducted. The result findings revealed the critical factors that affect on DCPM success e.g., technology, consultant, contractor or implementer, marketing strategy, and operation and service team. These are the vital bases for delivering the project success.
Deformable Registration for Re-Contouring and Phase Prediction in 4D CT¹

Deformable image registration is currently widely used in four-dimensional (4D) radiotherapy applications including internal anatomy motion tracking, delineating and dose tracking. In this work, two optical flow based deformable registration algorithm are studied, and we have designed two experiments to evaluate their efficiency. In the first study, deformation fields are calculated between reference phases and other phases in 4D CT images, and the contours on the reference phase are deformed to corresponding phases. In the second study, motion fields between distinct phases: end-inspiration and end-expiration are interpolated to generate images in other phases. The algorithms are validated by quantitative comparison, and visual inspections of the positions and shapes of these deformed contours agree well with human judgment. Furthermore, the deformable registration methods have significant potential for phase prediction to reduce the amount of cine data acquisition in 4D CT.
Preformed portals facilitate dendritic cell entry into afferent lymphatic vessels

Although both processes occur at similar rates, leukocyte extravasation from the blood circulation is well investigated, whereas intravasation into lymphatic vessels has hardly been studied. In contrast to a common assumption—that intra- and extravasation follow similar molecular principles—we previously showed that lymphatic entry of dendritic cells (DCs) does not require integrin-mediated adhesive interactions. In this study, we demonstrate that DC-entry is also independent of pericellular proteolysis, raising the question of whether lymphatic vessels offer preexisting entry routes. We find that the perilymphatic basement membrane of initial lymphatic vessels is discontinuous and therefore leaves gaps for entering cells. Using a newly developed in situ live cell imaging approach that allows us to dynamically visualize the cells and their extracellular environment, we demonstrate that DCs enter through these discontinuities, which are transiently mechanically dilated by the passaging cells. We further show that penetration of the underlying lymphatic endothelial layer occurs through flap valves lacking continuous intercellular junctions. Together, we demonstrate free cellular communication between interstitium and lymphatic lumen.
Arterial Ageing

Arterial ageing is characterized by age associated degeneration and sclerosis of the media layer of the large arteries. However, besides ageing, clinical conditions, which enhance oxidative stress and inflammation act to accelerate the degree of arterial ageing. In this review, we summarized the pathophysiology and contributing factors that accelerate arterial ageing. Among them, we focused on hypertension, the renin-angiotensin-aldosterone system and vascular inflammation which are modifiable causes of the arterial ageing process. Also, novel treatment targets derived from the disease models such as the Hutchinson Gilford Progeria Syndrome were reviewed.
The upv-unige-CIAOSENSO WSD system

The CIAOSENSO WSD system is based on Conceptual Density, WordNet Domains and frequences of WordNet senses. This paper describes the upv-unige-CIAOSENSO WSD system, we participated in the english all-word task with, and its versions used for the english lexical sample and the Word-Net gloss disambiguation tasks. In the last an additional goal was to check if the disambiguation of glosses, that has been performed during our tests on the SemCor corpus, was done properly or not.
PTZ visibility detection based on image luminance changing tendency

Due to the fact that the existing shortage of visibility detection methods, a novel algorithm is presented to measure atmospheric visibility base on image luminance changing tendency using PTZ (Pan/Tilt/Zoom) video cameras. First, the background of image was used to remove the interference from cars and passengers, and the region of interest was figured out to ensure the height constancy of the selected pixels. Then the homogeneous road surface, without roadbed or lane marks, to ensure the luminance constancy of the selected pixels. From the selected road region, combined with camera calibration algorithm, the luminance curve which reflect that road luminance vary with the distance, was extracted to search the feature point, and then the extinction coefficient is calculated, finally, the maximum visibility distance was obtained. The experimental results show that the algorithm is consistent with observation characteristic of human eyes, and the accuracy is up to 96% while the inspection error within 10 meters. Compared with other visibility detection methods, this algorithm is more effective, robust and precise.
Polysaccharides: The “Click” Chemistry Impact

Polysaccharides are complex but essential compounds utilized in many areas such as biomaterials, drug delivery, cosmetics, food chemistry or renewable energy. Modifications and functionalizations of such polymers are often necessary to achieve molecular structures of interest. In this area, the emergence of the "click" chemistry concept, and particularly the copper-catalyzed version of the Huisgen 1,3-dipolar cycloaddition reaction between terminal acetylenes and azides, had an impact on the polysaccharides chemistry. The present review summarizes the contribution of "click" chemistry in the world of polysaccharides.
Deep Learning Embeddings for Discontinuous Linguistic Units

Deep learning embeddings have been successfully used for many natural language processing problems. Embeddings are mostly computed for word forms although a number of recent papers have extended this to other linguistic units like morphemes and phrases. In this paper, we argue that learning embeddings for discontinuous linguistic units should also be considered. In an experimental evaluation on coreference resolution, we show that such embeddings perform better than word form embeddings.