Miracle-dz/UniFAR-FTUs huggingface dataset:
The Evolution of Lyman α Absorbers in the Redshift Range 0 . 5 < z < 1

We investigate the evolution and the statistical propertie s of the Lyα absorbers of the intergalactic medium (IGM) in the largely unexplored redshift range z = 0.5−1.9. We use high-resolution ( R ≥ 30 000) UV (STIS) and optical (VLT /UVES and Keck/HIRES) spectra of nine bright quasars with zem < 1.94. The Lyα lines detected in the lines of sight (LOS) towards these quasars are evaluated with a software package which determi n s s multaneously the quasar continuum and the line profile s. The main results for the combined Ly α line sample are summarized as follows: 1. The evolution of the number density of the absorbers can be described by the power law dz ∝ (1 + z) . The number density of the low column density lines ( NH i = (1012.90 − 1014.00) cm−2) decreases with decreasing z with γ = 0.74± 0.31 in the intervalz = 0.7 − 1.9. A comparison with results at higher redshifts shows that it i s decelerated in the explored redshift range and turns into a flat evolution for z→ 0. The stronger absorbers ( NH i > 1013.64 cm−2) thin out faster ( γ = 1.50±0.45). The break in their evolution predicted for z = 1.5−1.7 cannot be seen down to z = 0.7. On the other hand, a comparison with values from the litera ture for the local number density gives a hint that this break occurs at lower redshift. 2. The distribution of the column densities of the absorbers is complete down toNHI = 1012.90 cm−2. It can be approximated by a single power law with the exponent β = 1.60± 0.03 over almost three orders of magnitude. β is redshift independent. 3. The Lyα lines with lower column densities as well as the higher colum n density lines show marginal clustering with a 2 σ significance over short distances ( ∆v < 200 km s−1 and∆v < 100 km s−1, respectively). We do not see any di fference in the clustering with either column density or redshift. 4. The distribution of the Doppler parameters has a mean valu e of b = (34± 22) km s−1. This value is typical for the analyzed region. It does not change significantly withz.
Moving well, being well: an intervention aimed at increasing fundamental movement skills in Irish primary school children, while also increasing teacher confidence in delivering physical activity based lessons.

Physical Activity (PA) has long been positively linked with health benefits. Recent research shows that 67% of adolescents are not getting the recommended one hour of moderate to vigorous activity (MVPA) per day. In addition, 99.5% of the same sample did not achieve the level of Fundamental Movement Skill (FMS) proficiency expected of their age. In young children FMS proficiency is hypothesised to correlate with increased PA in later life, and these skills are best developed throughout the early school going years. To address these alarming statistics, phase one of the Moving Well-Being Well project has assessed a nationwide sample (n=2148) of primary school children (5-13 years) in Ireland. The range of assessments covered all aspects of the currently accepted physical literacy model: competence, motivation, confidence, and knowledge and understanding. The results show that 77.5% of primary school children were classed as ‘very poor’ or ‘below average’ in FMS proficiency (n=2098, Male 53%). The findings also show significantly higher (p<0.001) FMS proficiency for children who achieve high levels of MVPA, over those who are less active. Confidence and motivation both saw significant increases (p<0.05) for those categorised as highly active, compared to those in the low activity group. There was significant difference between these groups for knowledge and understanding, and 54.8% did not know the minimum recommended MVPA guidelines. These findings have been used to develop the intervention aiming at addressing these deficiencies. The intervention targets increasing teacher confidence in delivering FMS programmes through an innovative school’s in-service training program.
MANFAAT HIPNOTERAPI SPIRITUAL DALAM MENURUNKAN TINGKAT KECEMASAN MAHASISWA MENGHADAPI UJI KOMPETENSI BIDAN INDONESIA (UKBI)

Uji Kompetensi Bidan Indonesia (UKBI) adalah ujian kompetensi lulusan diploma III kebidanan untuk mendapatkan surat tanda registrasi bidan (STR). UKBI dilaksanakan dalam rangka mendapatkan kompetensi lulusan bidan yang sama di seluruh Indonesia. Persiapan dalam menghadapi ujian ini sering kali membuat stress dan kecemasan tingkat tinggi. Hasil studi pendahuluan terhadap 10 lulusan bidan menunjukkan bahwa 8 (80%) Mengalami kecemasan menjelang UKBI. Tujuan Penelitian ini untuk. Tujuan penelitian ini adalah untuk mengnalisis pengaruh spiritual hipnoterapi terhadap kecemasan bidan fresh graduate menjelang Uji Kompetensi Bidan Indonesia. Jenis penelitian yang dilakukan adalah kuantitatif quasi experimental dengan pendekatan pretest-postets design. Sampel dalam penelitian ini adalah seluruh lulusan bidan 2017 (fresh graduate) prodi DIII Kebidanan STIKES Muhammadiyah Pekajangan Pekalongan sejumlah 57 orang. Data kecemasan diukur dengan instrument DT-MAS (The Taylor Minensota Anxiety Scale). Teknik analisis data yang akan digunakan adalah dengan uji univariat dan bivariate dengan menggunakan paired ¬t-test. Hasil penelitian menunjukkan bahwa spiritual hipnoterapi mampu menurunkan tingkat kecemasan mahasiswa bidan fresh graduate menjelang UKBI dengan p-value 0,011 dan CI 0.432-3.217. Kata Kunci: spiritual hipnoterapi, kecemasan, uji kompetensi, bidan, UKBI
INTEGRATION BETWEEN RESEARCH AND DEVELOPMENT: A DYNAMIC CAPABILITIES PERSPECTIVE

ABSTRACT Integration between research (R) and development (D) activities when they are organized separately in companies as specific departments is crucial for innovation performance and for the firm's adaptation and growth. Although this is of utmost importance, paradoxically, very few studies have focused on it. Considering this integration as a dynamic capability, through a systematic literature review on integration models and dynamic capabilities, we discuss distinctive views of the concept and the ways in which they can be applied. This study leads to the systematization of this knowledge field and to the identification of gaps in the literature on the integration between R and D. A research agenda is also proposed.
Retropharyngeal Calcific Tendonitis Mimics a Retropharyngeal Abscess

Retropharyngeal calcific tendonitis (RCT) is an uncommon, self-limiting condition that is often omitted in the differential diagnosis of a retropharyngeal fluid collection. This condition mimics a retropharyngeal abscess and should be considered when evaluating a fluid collection in the retropharyngeal space. Although calcific tendonitis at other sites has been well described in the medical literature, it appears that this entity has been underreported in the otolaryngology literature where only a few case reports have been identified. Presumably, the actual incidence is higher than the reported incidence, due to lack of familiarity with this disorder. As an otolaryngologist's scope of practice includes the managements of retropharyngeal lesions, it is important for the otolaryngologist to recognize the presentation of acute RCT and be familiar with appropriate treatment strategies. Retropharyngeal calcific tendonitis presents with neck pain, limitation of neck range of motion and includes inflammation, calcifications, and a sterile effusion within the longus colli muscle. Treatment is medical with nonsteroidal anti-inflammatory medications. RCT does not require surgical treatment, and an accurate diagnosis can prevent unnecessary attempts at operative drainage. In this study, we discuss two cases of RCT, summarize the salient features in diagnosis, including key radiologic features, discuss treatment options, and review the literature.
Fluctuations of an Improved Population Eigenvalue Estimator in Sample Covariance Matrix Models

This paper provides a central limit theorem for a consistent estimator of population eigenvalues with large multiplicities based on sample covariance matrices. The focus is on limited sample size situations, whereby the number of available observations is comparable in magnitude to the observation dimension. An exact expression as well as an empirical, asymptotically accurate, approximation of the limiting variance is derived. Simulations are performed that corroborate the theoretical claims.
On the growth and stability of Trojan planets

Aims. We investigate the stability of those low-mass Trojan planets that form in a protoplanetary disc and subsequently accrete gas to become gas giants. Methods. We calculate their evolution before, during, and after gas disc dispersal. A two-dimensional hydrodynamics code combined with an N-body solver is used to evolve the system of disc and planets. Gas disc dispersal is simulated in a simple manner by assuming global exponential decay of the disc mass, leading to the stalling of migration after semi-major axes have approximately halved from their initial values. We consider Trojan pairs with different initial masses and gas accretion rates and gas disc models with different masses and viscosities. An N-body code, adapted to model disc forces, is used to examine large-scale migration and the formation of very short period Trojan planets. Results. For each combination of planetary pair and disc model that we consider in our hydrodynamic simulations, each Trojan system remains stable before, during, and after disc dispersal. The long-term stability of these systems in the absence of gas is tested using N-body simulations, and all systems remain stable for those evolution times equal to 10 9 years. Eccentricities remain low (e < 0.02) in all cases. Increases in the amplitude of libration about the L4/L5 Lagrange points accompany the inward migration, and during very large-scale migration Trojan systems may be disrupted prior to the onset of disc dispersal. Conclusions. The stability of Trojan pairs during rapid type I migration, during the transition to type II migration with the accompanying gap formation in the gas disc, and during gas loss when the disc disperses, indicates that isolated Trojan planet systems are very stable. If a common mechanism exists for their formation, we suggest they may be readily observed in nature.
The HIV1 Protein Vpr Acts to Enhance Constitutive DCAF1-Dependent UNG2 Turnover

Background The HIV1 protein Vpr assembles with and acts through an ubiquitin ligase complex that includes DDB1 and cullin 4 (CRL4) to cause G2 cell cycle arrest and to promote degradation of both uracil DNA glycosylase 2 (UNG2) and single-strand selective mono-functional uracil DNA glycosylase 1 (SMUG1). DCAF1, an adaptor protein, is required for Vpr-mediated G2 arrest through the ubiquitin ligase complex. In work described here, we used UNG2 as a model substrate to study how Vpr acts through the ubiquitin ligase complex. We examined whether DCAF1 is essential for Vpr-mediated degradation of UNG2 and SMUG1. We further investigated whether Vpr is required for recruiting substrates to the ubiquitin ligase or acts to enhance its function and whether this parallels Vpr-mediated G2 arrest. Methodology/Principal Findings We found that DCAF1 plays an important role in Vpr-independent UNG2 and SMUG1 depletion. UNG2 assembled with the ubiquitin ligase complex in the absence of Vpr, but Vpr enhanced this interaction. Further, Vpr-mediated enhancement of UNG2 degradation correlated with low Vpr expression levels. Vpr concentrations exceeding a threshold blocked UNG2 depletion and enhanced its accumulation in the cell nucleus. A similar dose-dependent trend was seen for Vpr-mediated cell cycle arrest. Conclusions/Significance This work identifies UNG2 and SMUG1 as novel targets for CRL4DCAF1-mediated degradation. It further shows that Vpr enhances rather than enables the interaction between UNG2 and the ubiquitin ligase. Vpr augments CRL4DCAF1-mediated UNG2 degradation at low concentrations but antagonizes it at high concentrations, allowing nuclear accumulation of UNG2. Further, the protein that is targeted to cause G2 arrest behaves much like UNG2. Our findings provide the basis for determining whether the CRL4DCAF1 complex is alone responsible for cell cycle-dependent UNG2 turnover and will also aid in establishing conditions necessary for the identification of additional targets of Vpr-enhanced degradation.
Profile of Physical Education Program Students Candidates

: The objective of this study is to describe the profile of prospective students of Faculty of Sport Science, Selection of Joint Entry of State Universities (SBMPTN) and Mandiri Line in 2015 and 2016. The research method used were expose facto, data collection using skill test instruments consisting of illionist test, vertical Jump (leg muscle power test), tennis wall pass (eye and hand coordination test), 1 minute push up (arm muscle strength test), sit up 1 minute (abdominal muscle strength test) and 1600 meter run (cardiovascular endurance test). The results of SBMPTN and independent research in 2015-2016, showed excellent agility 6 and 1, 2 and 2, excellent limb muscle power rose 11 to 12, and stand-alone stable 2, eye coordination with excellent hand criteria decreased from 118 to 2, and self-stable 1, abdominal muscle strength in a very good criteria decreased from 811 to 26, and independently rose 10 to 19, the muscle strength of the excellent criteria arm rose from 66 to 68, and independently decreased 50 to 25 and the cardiovascular ability of the excellent criteria decreased from 6 to 1, and independently stable 1. Conclusion of SBMPTN test results and best arm muscle ability, 2015 results of SBMPTN test showing the best prospective student profile.
Submicron aerosols at thirteen diversified sites in China: size distribution, new particle formation and corresponding contribution to cloud condensation nuclei production

Understanding the particle number size distribu- tions in diversified atmospheric environments is important in order to design mitigation strategies related to submicron particles and their effects on regional air quality, haze and human health. In this study, we conducted 15 different field measurement campaigns between 2007 and 2011 at 13 indi- vidual sites in China, including five urban sites, four regional sites, three coastal/background sites and one ship cruise mea- surement along eastern coastline of China. Size resolved particles were measured in the 15-600 nm size range. The median particle number concentrations (PNCs) were found to vary in the range of 1.1-2.2 ◊ 10 4 cm 3 at urban sites, 0.8-1.5◊ 10 4 cm 3 at regional sites, 0.4-0.6 ◊ 10 4 cm 3 at coastal/background sites, and 0.5 ◊ 10 4 cm 3 during cruise
Nonstationary power signal processing and pattern recognition using genetic algorithm

A new approach to time frequency transform and pattern recognition of non-Stationary power signals is presented in this paper. In the proposed work Visual localization, detection and classification of non-stationary power signals are achieved using HS-Transform and automatic pattern recognition is carried out using fuzzy C-means based Genetic algorithm. Time frequency analysis and Feature extraction from the non- stationary power signals is done by HS-Transform. Once the feature vectors are extracted is used for pattern recognition of various non-Stationary signals. Various non-stationary power signals are processed through HS-transform with hyperbolic window to generate time-frequency contours for extracting relevant features for pattern classification. The extracted features are clustered using fuzzy C-means algorithm and finally the algorithm is extended using Genetic algorithm to refine the cluster centers. The average classification accuracy of the disturbances is 93.25% and 95% using fuzzy C-means and Genetic based fuzzy C-means algorithm, respectively.
Evolving Minimally Creative Robots

We outline our motivations for using an evolutionary robotics approach to investigating creativity. We propose two necessary conditions that a robot must satisfy in order to demonstrate minimal creativity: agency; and novelty. Our preliminary results demonstrate that this methodology can produce simulated robots that mark their environments and interact with the lines that they have made. Our simulated robots satisfy a ‘no strings attached’ form of agency, but it is contentious whether their behaviour could be described as novel. Furthermore, it is an open question whether even as we incrementally increase the complexity of the robot controllers their behaviour will be classiﬁed as creative and their markings rudimentary drawings. However, we argue that a synthetic, bottom-up approach is a fruitful methodology for generating and testing hypotheses about creativity and generates concrete examples that can help to clarify the necessary and sufﬁcient conditions for creative behaviour.
Text to visual synthesis with appearance models

This paper presents a new method named text to visual synthesis with appearance models (TEVISAM) for generating videorealistic talking heads. In a first step, the system learns a person-specific facial appearance model (PSFAM) automatically. PSFAM allows modeling all facial components (e.g. eyes, mouth, etc) independently and it will be used to animate the face from the input text dynamically. As reported by other researches, one of the key aspects in visual synthesis is the coarticulation effect. To solve such a problem, we introduce a new interpolation method in the high dimensional space of appearance allowing to create photorealistic and videorealistic avatars. In this work, preliminary experiments synthesizing virtual avatars from text are reported. Summarizing, in this paper we introduce three novelties: first, we make use of color PSFAM to animate virtual avatars; second, we introduce a nonlinear high dimensional interpolation to achieve videorealistic animations; finally, this method allows to generate new expressions modeling the different facial elements.
Image reconstruction using modified orthogonal matching pursuit and compressive sensing

Compressive sensing system merges sampling and compression for a given sparse signal. It can reconstruct the image accurately by using fewer linear measurements than the original measurements. Hence, it is able to achieve reduction in complexity of sampling and number of computations. Since existing algorithms for implementation of sampling for the whole image are time consuming and it requires huge storage space, greedy approaches are used commonly to recover sparse signals from fewer measurements. One of the commonly used greedy approaches is Orthogonal Matching Pursuit (OMP), which can iteratively reconstruct the image. In this paper, modified form of OMP is presented in which stopping condition specified by the Recovery condition and Mutual incoherence property is used on the low frequency coefficients of the image. The simulation result using modified OMP shows that the reconstructed image achieves better PSNR and uses lesser number of measurements.
Resilient Wireless Networking

Redundancy underpins resilient communications. Robust network architectures necessarily avoid single points of failure and rely upon distributed or decentralized control mechanisms. We will argue here that Internet Protocol (IP)-based networks possess the best-suited architecture for designing distributed networks and, consequently, that IP-based Cellular Networks enable the best solutions for cost-effective, survivable, wireless access.
Security Protocols and their Properties

Speciﬁcations for security protocols range from informal narrations of message ﬂows to formal assertions of protocol properties. This paper discusses those speciﬁcations, emphasizing authenticity and secrecy properties. It also suggests some gaps and some opportunities for further work. Some of them pertain to the traditional core of the ﬁeld; others appear when we examine the context in which protocols operate.
Mapping learning in eigenspace for harmonious caricature generation

This paper proposes a mapping learning approach for caricature auto-generation. Simulating the artist's creativity based on the object's facial feature, our approach targets discovering what are the principal components of the facial features, and what's the difference between facial photograph and caricature measured by those components. In training phase, PCA approach is adopted to obtain the principal components. Then, machine learning of SVR (Support Vector Regression) is carried out to learn the mapping model in principal component space. With the mapping model, in application phase, users just need to input a frontal facial photograph for the caricature generation. The caricature is exaggerated based on the original face while reserving essential similar features. Experiments proved comparatively that our approach could generate more harmonious caricatures.
On Intelligent Data Analysis forHierarchical Rule-Base GenerationG

A framework for fuzzy conceptual clustering of time series is proposed. Static and temporal information is analyzed separately. Temporal reasoning is used to generate temporal rules. The generated rules can be brought into a hierarchy. The framework will be used for the classiication and description of alarm and no-alarm concepts for an intelligent anesthesia monitor. trend analysis by temporal reasoning, intelligent data analysis, knowledge acquisition by inductive learning.
Can Practical Interlinguas Be Used for Difficult Analysis Problems

A method and apparatus in which a blunt interior needle is positioned within a larger external needle and a sample cavity is formed at the blunt end of the interior needle. An optical fiber extends from the sample cavity up the interior needle and to a light source and light detector. A reflective surface is placed at the end of the sample cavity reflects light back to the optical fiber. A beam splitter separates the incident and reflected light. To make an in-vivo measurement of chemical concentrations in a body, the needle is inserted into the body and fluids are aspirated into the sample cavity. Light is then transmitted to the cavity by the optical fiber and is transmitted from the cavity to a detector by the same fiber. By measuring the amount of light reflected, one can determine the amount of light absorbed in the cavity and may thus determine concentrations of selected chemicals.
Dynamic Cascade Neural Network

We introduce a type of cascade correlation network to predict the next word in a sentence, where the hidden layer is connected in such a way as to represent the topology of the conversation up to that point. There will be one input neuron that is fed the current word, and one output neuron that will output the predicted next word in the sentence. During training, we will be given a set of conversations to train on. That means that we shall know the input output pairs to train with, and the topology of the previous parts of the conversation correlating with each pair. We shall build the hidden layer in such a way that it is isomorphic to the previous parts of the conversation at the point here that input output pair coincide. During operation we will build the hidden layer of the network at each input word and in such a way as to be isomorphic to the previous parts of the conversation up to that point. Training will make the probability of the output n+1 word to be conditionally dependent on the previous words in that order and not just the nth word, conditional on the training conversations giving the chat-bot the ability to talk consistently on topics and themes found within the training conversations.