Miracle-dz/UniFAR-FTUs huggingface dataset:
Proper motions of open clusters based on the TYCHO2 Catalogue II. Clusters farther than 1 kpc

We determined the mean absolute proper motion of 94 open clusters situated farther than 1 kpc from the Sun. The results are derived from the stellar proper motion data given in the Tycho2 Catalogue. The mean proper motion of the clusters and membership probability of individual stars were obtained from the proper motion data by applying the statistical method proposed by Sanders ([CITE]). The measurements made use of a large number of stars, usually several tens, for each cluster. The total number of stars investigated in the fields of the clusters is 4864 of which 2021 were considered members. For 55 clusters, this is the first determination of the proper motion.
Signal Requirements for T Lymphocyte Activation

Purified guinea pig T lymphocytes cannot be induced to proliferate by plant lectins in vitro unless they are reconstituted with either macrophages or a macrophagederived soluble factor. The effects of phorbol myristic acetate (PMA) on the activation of this purified T lymphocyte population were studied. Although PMA by itself was nonmitogenic for guinea pig T cells, at very low concentrations (10-5 µg/ml) it enabled purified T cells to respond to the lectins, PHA or Con A. However, it could not induce primed T cells to respond to a soluble antigen in the absence of macrophages. On the basis of several criteria, PMA appeared to be acting independently of macrophages. Its effect was unrelated to the number of macrophages in a lymphocyte preparation and it did not increase the accessory capability of additional macrophages. Analysis of the kinetics of the interaction between PMA, lectins, and T cells revealed that these compounds could be added to the T cells independently and in any order and still induce activation. However, maximal T cell proliferation required that PMA and lectin be added within the first 4 hr of culture. In addition, both agents were capable of exerting their effects after a brief (1 hr) exposure. The results of this study indicate that PMA can replace macrophages as a source of the second signal that is required to induce T cell proliferation in vitro. This agent may prove to be extremely valuable in the analysis of both the biochemical alterations involved in the process of T cell activation, and the mechanism by which macrophages induce these alterations.
The Toxicity of Synthetic Pesticides in the Niger Delta Region: A Review

The Niger Delta region of Nigeria with a vast and resourceful ecosystem which has welcomed diverse agricultural practices and crude oil exploration. On the other hand, being a wetland it has also become a breeding ground for major pests of agricultural and public health interest. One major problem is the proliferation of mosquitoes which have obliged the intense usage of pesticides. Typically, pesticides are agents meant to control targeted organisms (pests) that have caused adverse effects to man and his environment. Due to the excessive and inappropriate usage of pesticide they drift and get linked to contaminable environmental media such as water, air and soil. Human exposure can occur from inhaled spray drift, accidental ingestion, runoffs and in a broad sense through food chains. Pesticides find their way into different ecosystems causing adverse effects to non-target organisms, most of these non-target organism lacks metabolites to degrade these toxic pesticides residue in their cells and tissues; hence accumulate them and transfer them to other organisms via food chain which could cause acute and chronic effect. In addition, industrial and municipal effluents have a more toxic synergistic effect with pesticides. Toxic effects of pesticides can be controlled by; adhering to safety instructions from manufacturers of pesticides, thorough washing of agricultural produce, use of gloves and mask by the applicant and other safety measures. In addition, toxicological research and advocacy should be more active in the Niger Delta Region as well as proper and active regulation of pesticides usage to comply with minimal residual limits of pesticides and anthropogenic agents.
Evaluation of Antimicrobial bioactive compounds from Endophytic Fungi Isolated from Moringa oleifera

Endophytic fungi are microorganisms that inhabit the living tissues of their host plants without causing any host loss. They are considered as a continuous natural source of novel bioactive secondary metabolites with potential application in medicine, which are almost same to their host plant. In this study a total of nine endophytic fungal isolates were collected from leaves and stems of Moringa oleifera . Based on the colonization frequency (CF) results, the highest number of isolates was obtained from plant stem, while the least was from leaves. The nine isolates were identified by keeping track of morphological and microscopic observations. Identification of the two antimicrobial potent strains was confirmed by 18S rDNA-based molecular analysis. The nine isolates were found belonging to Chaetomium , Alternaria , Fusarium , Aspergillus, Mycelia, Penicillium and Nigrospora taxa. Among them, Chaetomium taxon was included the highest CF )40% ( . Evaluation of antimicrobial activity documented ethyl acetate fungal extract as the highest effective inhibitor against Gram-negative and Gram-positive bacteria, and Aspergillus fumigatus . Minimum inhibitory concentration (MIC) was examined for the two most potent antimicrobial effective extracts, from Chaetomium laterale and Chaetomium interruptum ; it was ranged from 12.5 to 0.39 mg/ml.
The importance of biosecurity and animal welfare to livestock industries in New Zealand

ABSTRACT Aotearoa New Zealand’s livestock industries are well served by regulatory systems for biosecurity and animal welfare. These systems have been developed over many decades within the context of high economic value, including export earnings, from industry outputs. System participants across policymakers, animal industries and advocacy groups are highly engaged. Under intense current scrutiny from the perspective of environmental sustainability, the sector also remains at risk from external and internal threats in the form of disease outbreaks and erosion of social license associated with husbandry practices in a society where the urban and rural divide continues to grow. This article explores the local and international context for these challenges, and re-affirms the importance of commitment to multilateral institutions, national good regulatory practices and inclusive governance.
Biomarkers in severe asthma: Identifying the treatable trait

Asthma is a chronic condition of bronchial hyper-reactivity associated with inflammation ranges from mild to severe form. It affects 1 – 18% of the population globally and it is estimated that > 300million people in the world have asthma. Of this 5 – 10% have severe asthma. while the proportion of patients suffering from severe are smaller, the morbidity and mortality are higher in this group. With the advances in our understanding of the pathophysiology of asthma there is a need to understand the role of various biomarkers. We live in an era of precision medicine and today there is a clear unmet need to understand targeted therapies. This review aims to raise awareness to the available biomarkers used in clinical practice in India and their role in predicting response to targeted therapies.
Entropy as a Measure of Musical Style: The Influence of A Priori Assumptions

The present article examines some of the premises underlying previous applications of information theory to musical analysis, and suggests that those studies have failed because of faulty preanalytical assumptions. Chief among these are confusion of the concepts of pitch class and scale degree, dependence on notational devices (key signatures), and confusion over the treatment of modal differences. Tonal music is most appropriately analyzed in terms of scale degrees, referring all pitch materials in a work or movement to the principal key for meaning. These steps yield results both more discriminating and more plausible than those obtained in previous studies. Appendix I. 1. N = notes in sample 2. ni = number of instances of event i 3. Pi = probability of observing event = N 4. Relative entropy of all events i = x H=-log2e E PilogePi i=1 5. Sample standard deviation = s = (y ) (n-1) 6. Population standard deviation = or =( n 7. Standard deviation of the entropy due to the independent variation of thej characters (from Knopoff and Hutchinson, "Entropy," 94): ni (N-i) 1 + loge,Pi2 (TH = log22e I = le ( i N [ N 8. 95% confidence interval = 1.96 s (sample) or 1.96 cr (population) 9. Variance = s2 (sample) or U2 (population) 10. Geometric series, 1, 1 1 2' 4' 8' Value of nth term is 2n 11. Harmonic series: 1, 1 1 1 2' 3' 4' Value of nth term is 1 n 12. Golden Section (geometric series): F, P2, p3 . where P is the Golden Section, ; 0.618. Value of nth term is ()n This content downloaded from 207.46. 13.155 on Mon, 04 Jul 2016 05:06:24 UTC All use subject to http://about.jstor. org/terms 144 Music Theory Spectrum Appendix II. Hasse Mozart Schubert R. Strauss Schoenberg Die Scale schone Die early late Eight Songs, Degree all arias songs/arias Mullerin Winterreise Schwanengesang songs songs Op. 6
Sensing with microstructured optical fibres

The optical and geometrical properties of microstructured optical fibres present new alternatives for a range of sensing applications. We present the design criteria for achieving significant overlap between the light guided in the fibre and the air holes and hence for producing efficient evanescent field devices. In addition, the novel dispersive properties combined with the tight mode confinement possible in holey fibres make ultra-broadband single-mode sources and new source wavelengths a possibility. Microstructuring technology can be readily extended to form multiple-core fibres, which have applications in bend/deformation sensing. Finally, fibre-based atom waveguides could ultimately be used for rotational or gravitational sensing.
On Semi-Supervised Learning Genetic-Based and Deterministic Annealing EM Algorithm for Dirichlet Mixture Models

We propose a genetic-based and deterministic annealing expectation-maximization (GA&DA-EM) algorithm for learning Dirichlet mixture models from multivariate data. This algorithm is capable of selecting the number of components of the model using the minimum description length (MDL) criterion. Our approach benefits from the properties of Genetic algorithms and deterministic annealing algorithm by combination of both into a single procedure. The population-based stochastic search of the GA&DA explores the search space more thoroughly than the EM method. Therefore, our algorithm enables escaping from local optimal solutions since the algorithm becomes less sensitive to its initialization. The GA&DA-EM algorithm is elitist which maintains the monotonic convergence property of the EM algorithm. We conducted experiments on the WebKB and 20NEWSGROUPS. The results show that show that 1) the GA&DA-EM outperforms the EM method since: Our approach identifies the number of components which were used to generate the underlying data more often than the EM algorithm. 2) the algorithm alternatives to EM that overcoming the challenges of local maxima.
Low-Diffusion Preconditioning Roe’s Scheme on Simulation of Low-Speed Flows

Preconditioning technology is an effective method to simulate low Mach number flows, but the stability of the result is poor relatively. With the traditional preconditioning method on Roe’s scheme, the dissipation is too large in the boundary layer and extremely low-speed zone, and sometimes the result is unreasonable. Numerical experiments show the numerical dissipation of the scheme has a notable effect on low-speed flow numerical simulation with preconditioning method. A low-diffusion preconditioning Roe scheme by using an adjustable parameter in preconditioning Roe scheme to control the numerical dissipation and the adjustable parameter value rules are proposed. The low-diffusion preconditioning Roe scheme reflects the real physical dissipation in the extremely low-speed zone. In the region similar to the inflow speed, low-diffusion preconditioning Roe scheme can ensure the stability of the flow field. Numerical results show the efficiency of the new scheme and the low Reynolds number steady solutions of viscous flow past a circular cylinder are satisfied.
Trends in Performance Research in Relation to Business Strategy, Bibliometric Analysis and Text Mining

This literature review aims to assess the evolution of performance monitoring articles in relation to the business strategy based on an overview of articles indexed in the WoS and Scopus databases. The initial dataset of articles was obtained based on carefully developed keywords. In the second phase, we restricted the selection to business and management journal articles and reviews written in English before 2019. The authors simultaneously reviewed the abstracts of all 571 articles in the third phase of the study. These were subsequently re-read and limited, thus the final data set for further analysis includes 157 articles published between 1983 and 2019. The most important result is that the field of business strategy and performance is not subject to trends. While in the field of business strategy the literature is still dominated by the generic strategies according to M. Porter and the strategy typology according to Miles and Snow, in the field of performance measurement we identified the Market Position (Sales Volume; growth in Sales Volume; etc.) and Profitability (Profit Margin, Return on Assets etc.) as a dominant method. Implications for Central European audience : Despite a considerable amount of work focusing on bibliographic analysis, there remains a lack of literature on the link between strategy and performance. The paper brings potential value for the Central European audience by drawing attention to the systematisation of knowledge in the field of performance articles and its trends in relation to the field of business strategy. The overview of the theoretical frameworks contributes to a better orientation of the current state of the art and creates opportunities for future research.
Laparoscopic feeding jejunostomy using T-tube-technique and analysis of outcomes

Background: Enteral nutrition is of paramount importance in management of upper gastrointestinal tract malignancies. Although various access routes for enteral nutrition are available, feeding jejunostomy tube is preferred to other methods. Since minimally invasive techniques have many advantages, we decided to perform it during staging laparoscopy.Methods: The medical records of all patients who underwent laparoscopic feeding jejunostomy between October 2019 and September 2021, in the department of surgical gastroenterology, Madurai medical college were retrospectively reviewed. Patient demographics, ECOG performance status, types of malignancy, indications for feeding jejunostomy, operative time, time to start feeds, length of hospital stay and complications were analysed.Results: 75 patients underwent laparoscopic feeding jejunostomies (51 men and 24 women), with a mean age of 51.6±11.7 years, using this method. ECOG performance status was between 0-2. Mean operating time was 83±8.8 minutes. Mean length of hospital stay was 3.5 days. There was no conversion, however one patient required reoperation for peritubal leak.Conclusions: Feeding jejunostomy can be accomplished by a total laparoscopic technique using intracorporeal suturing. The technique we propose is relatively simple, reproducible, cost effective and can be widely adopted.
Siobhan's Problem: The Coupon Collector Revisited

Abstract This article considers from an empirical point of view the convergence of the distribution function for the waiting time in the classical coupon collector's problem. In addition, the application of the distribution in testing for “randomness” in the decimal expansions of π and e is considered. Some remarks are also made on the inverse problems: namely, given i distinct objects obtained in sampling at random with replacement m times from some population, how many distinct objects are there in the population?
Applications for thermal NDT on advanced composites in aerospace structures

Following several years of investigating active thermal imaging techniques, Lockheed Martin Aeronautical Systems Company (LMASC) has introduced a portable, time-dependent thermography (TDT) system into the production inspection environment. Originally pursued as a rapid, non-contacting, nondestructive evaluation (NDE) tool for inspecting large surface areas, the TDT system has proven most useful as a rapid verification tool on advanced composite assemblies. TDT is a relatively new NDE methodology as compared to conventional ultrasonic and radiography testing. SEveral technical issues are being addressed as confidence in the system's capabilities increase. These include inspector training and certification, system sensitivity assessments, and test results interpretation. Starting in 1991, LMASC began a beta-site evaluation of a prototype TDT system developed by the Institute of Manufacturing Research at Wayne State University. This prototype was the forerunner of the current production system, which is offered commercially as a fully integrated thermal NDE system. Applications investigated to data include quality assurance of advanced aerospace composite structures/assemblies for disbonds/voids between skin and core. TDT has a number of advantages over traditional NDT methods. The process of acquiring thermal images is fast, and can decrease inspection time required to locate suspect areas. The system also holds promise for depot level inspections due to its portability. This paper describes a systematic approach to implementing TDT into the production inspection arena.
Investigating ice nucleation in cirrus clouds with an aerosol‐enabled Multiscale Modeling Framework

In this study, an aerosol‐dependent ice nucleation scheme has been implemented in an aerosol‐enabled Multiscale Modeling Framework (PNNL MMF) to study ice formation in upper troposphere cirrus clouds through both homogeneous and heterogeneous nucleation. The MMF model represents cloud scale processes by embedding a cloud‐resolving model (CRM) within each vertical column of a GCM grid. By explicitly linking ice nucleation to aerosol number concentration, CRM‐scale temperature, relative humidity and vertical velocity, the new MMF model simulates the persistent high ice supersaturation and low ice number concentration (10–100/L) at cirrus temperatures. The new model simulates the observed shift of the ice supersaturation PDF toward higher values at low temperatures following the homogeneous nucleation threshold. The MMF model predicts a higher frequency of midlatitude supersaturation in the Southern Hemisphere and winter hemisphere, which is consistent with previous satellite and in situ observations. It is shown that compared to a conventional GCM, the MMF is a more powerful model to simulate parameters that evolve over short time scales such as supersaturation. Sensitivity tests suggest that the simulated global distribution of ice clouds is sensitive to the ice nucleation scheme and the distribution of sulfate and dust aerosols. Simulations are also performed to test empirical parameters related to auto‐conversion of ice crystals to snow. Results show that with a value of 250 μm for the critical diameter, Dcs, that distinguishes ice crystals from snow, the model can produce good agreement with the satellite‐retrieved products in terms of cloud ice water path and ice water content, while the total ice water is not sensitive to the specification of Dcs value.
The significance of fragile Xmental retardation gene 1 CGG repeat sizes in the normal and intermediate range in women with primary ovarian insufficiency

M. Voorhuis1,2,*, N.C. Onland-Moret2, F. Janse1, H.K. Ploos van Amstel3, A.J. Goverde1, C.B. Lambalk4, J.S. E. Laven5, Y.T. van der Schouw2, F.J.M. Broekmans1,and B.C.J.M. Fauser1 on behalf of the Dutch Primary Ovarian Insufficiency Consortium Department of Reproductive Medicine and Gynecology, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, P.O. Box 85500, 3508 GA Utrecht, The Netherlands Department of Medical Genetics, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands Department of Obstetrics and Gynaecology, VU Medical Center, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands Department of Reproductive Medicine, Erasmus Medical Center Rotterdam, ‘s Gravendijkwal 230, 3015 CE Rotterdam, The Netherlands
New Text Steganography Technique based on Multilayer Encoding with Format-Preserving Encryption and Huffman Coding

—Steganography is the process of hiding secret data inside other media or cover media. Balancing the requirements for capacity, security, and imperceptibility is the main challenge for any successful steganography system. In text steganography, the data hiding capacity is limited because of the lack of redundant data compared to other digital media, such as images, video, or audio. Other challenges in text steganography are imperceptibility and security. Poor imperceptibility results from the structure of the text file, which is more visually apparent in terms of syntax and grammar than in other media. Low level of security results from the sequential selection of positions for embedding secret data due to insufficient redundant data in a text file. Therefore, an attacker or a third party would notice slight changes in the text file. This paper proposes a new text steganography method that combines cryptography and compression techniques to deal with these issues. This technique is used to conceal secret data to achieve high data hiding capacity in the cover text while maintaining security and imperceptibility. Multilayer encoding and Format-Preserving Encryption (FPE) with Huffman Coding, are applied to secret data before embedding. Invisible Unicode characters are employed to embed secret data into English text files to generate stego files. Results show that the proposed method satisfies capacity and imperceptibility in the cover file by comparing it with previously developed methods.
Bounds for Effective Electrical, Thermal, and Magnetic Properties of Heterogeneous Materials

Determining the effective dielectric constant is typical of a broad class of problems that includes effective magnetic permeability, electrical and thermal conductivity, and diffusion. Bounds for these effective properties for statistically isotropic and homogeneous materials have been developed in terms of statistical information, i.e., one‐point and three‐point correlation functions, from variational principles. Aside from the one‐point correlation function, i.e., the volume fraction, this statistical information is difficult or impossible to obtain for real materials. For a broad class of heterogeneous materials (which we shall call cell materials) the functions of the three‐point correlation function that appear in the bounds of effective dielectric constant are simply a number for each phase. Furthermore, this number has a range of values 19 to ⅓ and a simple geometric significance. The number 19 implies a spherical shape, the number ⅓ a cell of platelike shape, and all other cell shapes, no matter h.