Miracle-dz/UniFAR-FTUs huggingface dataset:
Simple Singular Perturbation Problems with Turning Points

The paper considers the asymptotic solution of two-point boundary value problems ey” + A(x)y’ = 0, 0 ≤ x ≤ 1, when 0 1, A(x) is smooth with isolated zeros, y(0) = 0 and y(1) = 1. By using perturbation method, the limit asymptotic solutions of various cases are obtained. We provide a reliable and direct method for solving similar problems. The limiting solutions are constants in this paper, except in narrow boundary and interior layers of nonuniform convergence. These provide simple examples of boundary layer resonance.
The Effective Use Of Role Play A Handbook For Teachers And Trainers

Thank you for reading the effective use of role play a handbook for teachers and trainers. Maybe you have knowledge that, people have look hundreds times for their favorite readings like this the effective use of role play a handbook for teachers and trainers, but end up in harmful downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some infectious virus inside their laptop.
Temporal and spatial changes in phyllosphere microbiome of acacia trees growing in super arid environments

Along the arid Arava, southern Israel, acacia trees (Acacia raddiana and Acacia tortilis) are considered keystone species. In this study, we investigated the ecological effects of plant species, microclimate (different areas within the tree canopies) and seasonality on the endophytic and epiphytic microbiome associated with these two tree species. 186 leaf samples were collected along different seasons throughout the year and their microbial communities were studied using the diversity of the 16S rDNA gene sequenced on the 150-PE Illumina sequencing platform. Results show that endophytic, but not epiphytic, microbiome communities were different between the two acacia species. Endophytic, but not epiphytic, microbiome was affected by temporal changes (seasons) in air temperature. Acacia canopy microclimate was also found to have a significant effect on exosphere microbiome, with A. tortilis having a higher microbial diversity than A. raddiana with significantly different community compositions in different seasons. Importance The evolutionary relationships and interactions between plants and their microbiome are of high importance to the survival of plants in extreme conditions. Changes in microbiome of plants can affect plant development, growth and health. In this study, we explored the relationship between keystone desert trees and their microbiome along seasonal variation. These results shed light on the importance and uniqueness of desert phyllosphere microbiome. Although acacia trees are considered keystone species in many arid regions, to the best of our knowledge, this is the first time that microbial descriptors have been applied in these systems. This work constitutes a new approach to the assessment of these important trees and a stepping stone in the application of microbial communities as a putative marker in a changing environment.
Conformation based reagents for the detection of disease-associated prion protein.

by KRISTEN-LOUISE HATCHER Prion diseases are a group of fatal, transmissible neurodegenerative diseases found in both animals and humans. Prion diseases are thought to arise when the normal cellular prion protein, PrP, undergoes a conformational change from a primarily α-helical form into a form rich in β-sheets and resistant to protease, called PrP. Animal forms of prion disease include scrapie in sheep, chronic wasting disease (CWD) in cervids, and bovine spongiform encephalopathy (BSE) in cattle. In humans, the diseases can take a sporadic, genetic or acquired form. One acquired form of human prion disease is variant Creutzfeldt-Jakob disease (vCJD), which emerged in the United Kingdom in 1995, and is thought to be caused by the consumption of BSE contaminated beef. The only definitive diagnostic techniques available at the present time use protease digested brain tissue. This thesis sought to develop a panel of diagnostic reagents for prion disease that enable the detection of PrP, but not PrP, without protease digestion. We characterized two short peptide sequences, based on the Kringle domains of the serine protease plasminogen, for binding to PrP, following reports that plasminogen has PrP binding ability. The short peptides bound to all forms of PrP, both animal and human, and binding was retained in PrP-spiked human plasma. In addition, a panel of PrP binding DNA oligonucleotides, called aptamers, isolated through the SELEX technique, was used
Teaching Machines to Understand Chinese Investment Slang

The Chinese A-shares equity market is characterized by heavy retail investor participation. Furthermore, much of the Chinese retail trading is sentiment driven. In this article, the authors discuss their approach of combining a recently developed natural language processing (NLP) technique with online Chinese-language investment blogs favored by Chinese retail investors to understand their views toward various A-share stocks. In addition to complexities associated with NLP application to the Chinese language, one particular challenge posed by the retail investor corpus the authors use is the frequent occurrence of slang. They demonstrate that their approach is able to overcome the challenges encountered. The authors also show how modifying the standard neural network underpinning their NLP approach makes it more suitable for application to the financial domain. TOPICS: Equity portfolio management, statistical methods, simulations, big data/machine learning Key Findings • To understand Chinese A-share sentiments, it is essential to understand the sentiment of retail investors. • The Chinese language poses several distinct challenges that make application of traditional NLP techniques not particularly fruitful. • Using the latest neural network–based NLP approach, we can overcome these challenges and gain insights into the A-shares market.
Psychosocial Risk Factors and Self-Reported Health of the Medical Personnel in the Polyclinic of Petropavlovsk (Kazakhstan)

Objectives : Psychosocial risk factors at work in developing countries still stay without due research cognizance. This study aims to measure psychosocial risks in the work of medical workers in Kazakhstan. Methods : Job Content Questionnaire (JCQ) by Karasek and colleagues was applied in this survey, modified by the authors in accordance to the study objectives, mainly for studying the relation between psychosocial risks and health of medical employees. The medical staff was categorized to nine occupational groups based on the International Standard Classification of Occupations (ISCO-08). Data was analyzed statistically with the use of the IBM Statistics SPSS 21 program. Findings : High strained job is performed only by nurse`s aides of the polyclinic. High strain is mainly explained by extreme workloads and lack of decisional latitude. This is hardly to be compared to the outcomes in any other previous studies since there is no specification for nurse`s aides at all. General practitioners encounter higher strain at work than specialist doctors. Although the specification of doctors is extremely important is ignored in the most of research. Social support in the polyclinic is low in comparison to those values received in other studies. Meanwhile, social support is salient to employees in decreasing their job dissatisfaction. Overall, non-material incentives are more important for health workers to feel satisfied. Job dissatisfaction is also affected by the changes in the working position. Alteration in the job rank was included into the questionnaire as an additional scale. The poor health status is mainly professed by employees of elementary occupations. Similarly, workers holding lower ranks in previous investigations report health status more negative. Improvements/Applications : This study is devoted to psychosocial risks at work of medical personnel in Kazakhstan. Results of the research, though, are applicable in developing countries undergoing transformation, particularly in healthcare.
One-step synthesis of magnetically recyclable palladium loaded magnesium ferrite nanoparticles: application in synthesis of anticancer drug PCI-32765

Abstract Novel Palladium nanoparticles supported nano Magnesium ferrite catalyst (Pd/MgFe2O4) was synthesized by one-step ultrasound assisted coprecipitation. In-situ formed by-products assisted salt cage calcination approach was employed to control the particle size by minimizing the risk of nanoparticle aggregation during calcination. Palladium nanoparticles were grafted on the surface of nanocrystalline MgFe2O4 without using any reducing agents, capping agents and surface modifiers. The catalyst preparation method was having minimum process operations and can be used for synthesis of various potential nanocatalytic systems. The catalyst was extensively characterized by using various techniques SEM-EDS, TEM, FT-IR, XPS, XRD, VSM, BET, and ICP-AES. Pd/MgFe2O4 was magnetically separable and shown its potential utility for ligand less Suzuki-Miyaura coupling reaction using green solvent system Water and Ethanol. The nanocatalyst shows consistent activity and excellent reusability in the synthesis of Biaryls with excellent yields. In addition, the prepared catalytic nanoparticles were successfully applied in the synthesis of 5-(4-phenoxyphenyl)-7H-pyrrolo[2,3-d]pyrimidin-4-ylamine an intermediate for preparing the marketed anticancer drug PCI-32765 under the name IMBRUVICA® (Ibrutinib-BTK inhibitor).
Suppressing the excessive aggregation of nonfullerene acceptor in blade‐coated active layer by using n‐type polymer additive to achieve large‐area printed organic solar cells with efficiency over 15%

In this study, we demonstrate that high-efficiency blade-coated organic solar cells (OSCs) can be obtained by using polymer additive N2200 to suppress the excessive aggregation of nonfullerene acceptor. When using the blade-coating method, OSCs based on the blends of PM6:IT-4F and PM6:Y6 show moderate efficiencies of 9.9% and 13.2%, respectively. However, when a small amount of N2200 is added into the binary active layers, the resulting blade-coated OSCs show much higher efficiencies of 13.0% and 16.0%. Careful investigation reveals that the polymer additive suppresses the excessive aggregation of nonfullerene acceptors in the blade-coated active layer. This enhances the device performance by ensuring a more favorable morphology with appropriate domain size, improving charge extraction, and suppressing charge recombination. Based on this understanding, large-area OSC devices (1.0 cm 2 ) are successfully obtained by blade coating, which display encouraging efficiencies of 12.3% and 15.1%.
CEREBRAL SPECT IMAGING, 2ND EDITION. 1994. Edited by R.L. Van Heertum and R.S. Tikofsky. Published by Raven Press. 233 pages. $C 182.00

their location and function/functional relationships, which covers 30 pages. The second section contains sagittal, axial and coronal CT and MR images, and a small section of 3D images with corresponding line drawings. The Glossary section is succinct and is the only strength of this book. The descriptions in this section would be appropriate for an audience of undergraduate level. Unfortunately, the second section of the book contains CT and MR images of disappointingly low quality. Many of the structures labelled on the corresponding line diagrams can hardly be visualized on the cross-sectional images. In the Preface, the authors state that the atlas is intended as a reference book, but it is of insufficient detail to serve that purpose, and would, at best, be of limited use as an introductory learning tool for undergraduate medial trainees. William Hu Toronto, Ontario
Removal of Copper Using Activated Carbon Adsorbent and Its Antibacterial Antifungal Activity

Batch adsorption equilibrium of Cu (II) was studied by using saw dust Chitosan composite beads. Experiments were performed at different pH, various concentrations of adsorbent and adsorbate, agitation speed, contact time for adsorption of Cu (II). Adsorption capacity and percentage removal were calculated. Thermodynamics parameters such as ∆H, ∆S, were calculated. The result shows that Chitosan composite charcoal bead is a good adsorbent for Cu (II) removal. For the activated carbon adsorbent antibacterial and antifungal activity have analyzed and reported.
Stomatal Functioning and Its Influence on Fruit Calcium Accumulation in Northern Highbush Blueberry

Accumulation of calcium (Ca) in fruit is largely caused by transpiration and varies depending on the concentration of Ca in the xylem fluid. The objective of the present study was to evaluate the relationship between fruit stomatal functioning and Ca accumulation during different stages of development in northern highbush blueberry (Vaccinium corymbosum L.). Stomata were scarce on the berries and were concentrated primarily on the distal end near the calyx. The density of the stomata was greatest at petal fall, averaging 5 to 108 stomata/mm2 from the proximal end (pedicel end) to the distal end of the berries. Stomata were wide-open at the early green stage of berry development and had a slight deposit of wax along the guard cells. As the berries expanded during the initial period of rapid growth (stage I), most of the stomata remained near the distal segment of the berries; by the late green stage, almost none was found in the middle and proximal segments. The majority of these stomata were completely covered with wax when the berries began to change color and ripen (stage II and stage III). Stomatal conductance (gS) of the berries averaged 45 mmol·m−2·s−1 at petal fall and rapidly declined as the fruit developed. By the fruit coloring stage, conductance was low and remained less than 15 mmol·m−2·s−1 throughout the ripening period. In four cultivars, including Duke, Bluecrop, Aurora, and Elliott, Ca uptake in the berries increased rapidly during the early green stage; however, it slowed considerably between the late green and fruit coloring stages and stopped completely during fruit ripening. The results of this study strongly suggested that practices used to increase the Ca content of blueberries, such as the application of foliar fertilizers, should be performed early in the season during the first few weeks after flowering.
Review: high pressure generation techniques beyond the limit of conventional diamond anvils

ABSTRACT Current anvil designs and problems associated with various efforts to generate static high pressures beyond the limit of conventional diamond anvil cells (DACs) (∼400 GPa) are reviewed. Pressures of up to 1 TPa have been reported by one research group using the double-stage DAC (ds-DAC) technique, but no other research group has successfully reproduced this high pressure result. Some research groups have used toroidal anvils, achieving pressures of >400 GPa. We have conducted numerous ds-DAC experiments and investigated the problems associated with such experiments. They include problems associated with various pressure scales in the multi-megabar region, difficulties in obtaining reliable X-ray diffraction patterns from micron-sized samples, and physical property measurements of tiny materials that may be harder than diamond. Each of these problems is discussed, following the summary of various experiments.
Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability

In this article, we propose a method for ranking tourist destinations and evaluating their performances under a sustainability perspective: a fuzzy multiple criteria decision-making method is applied for determining sustainability performance values and ranking destinations accordingly. We select a set of sustainability evaluation criteria and use a fuzzy analytic hierarchy process to weight the selected criteria. We also optimize each evaluator’s membership function support by means of a fuzzy entropy maximization criteria. A case study is illustrated and results are compared with two data envelopment analysis–based models. The simplicity of the proposed approach along with the easy readability of the results allow its direct applicability for all involved stakeholders.
Enriched Latent Dirichlet Allocation for Sentiment Analysis

One of the main benefits of unsupervised learning is that there is no need for labelled data. As a method of this category, latent Dirichlet allocation (LDA) estimates the semantic relations between the words of the text effectively and can play an important role in solving various issues, including emotional analysis in combination with other parameters. In this study, three novel topic models called date sentiment LDA (DSLDA), author–date sentiment LDA (ADSLDA), and pack–author–date sentiment LDA (PADSLDA) are proposed. The proposed models extend LDA through some extra parameters such as date, author, helpfulness, sentiment, and subtopic. The proposed models use helpfulness in the Gibbs sampling algorithm. Helpfulness is a part of readers who found the review helpful. The proposed models divide the words into two categories: the words more affected by the distribution of subtopic and the words more affected by the main topic. In this study, a new concept called pack is introduced, and a new model called PADSLDA is proposed for sentiment analysis at pack level. The proposed models outperformed the baseline models because according to evaluations results, the extra parameters can appropriately affect the generating process of words in a review. Sentiment analysis at the document level, perplexity, and topic coherence are the main parameters used in the evaluations.
A Tunable Planar Balun with an Isolation Circuit Using Varactors Loaded Coupled Lines

In this paper, a frequency tunable planar balun composed of varactors loaded coupled lines (VL-CLs) is presented. By tuning the capacitances of the varactors, a wide frequency tuning range is obtained. Moreover, good impedance match, balanced output ports amplitude, and consistent output ports phase difference (PD) are maintained during the tuning. A detailed theoretical analysis using the signal flow diagram and the even-odd mode method is presented to clarify the characteristics of the proposed balun. To achieve ideal output matching and isolation for the proposed balun, a novel frequency tuned isolation circuit (IsC) is designed and connected to the balun. In theory, a frequency tuning range of 200% can be realized. In practice, due to the limited capacitances of the varactors, a prototype with a tunable frequency of 1.0 GHz ~ 2.0 GHz (66.7%) is designed, fabricated, and measured. The measured results show that more than21 dB of return loss (RL), 180° ± 1.8° of phase difference, 0.43 dB of amplitude imbalance (AP), and 22 dB of isolation are obtained at all tuning center frequencies, agreeing well with the simulated results.
Single molecule tracking reveals the role of transitory dynamics of nucleoid-associated protein HU in organizing the bacterial chromosome

HU is the most conserved nucleoid-associated protein in eubacteria and has been implicated as a key player in global chromosome organization. The mechanism of HU-mediated nucleoid organization, however, remains poorly understood. Using single molecule tracking coupled with genetic manipulations, we characterized the dynamics of HU in live Escherichia coli cells. We found that native HU dimers bind and unbind chromosomal DNAs weakly and transitorily across the entire nucleoid volume but remain nucleoid-localized, reminiscent of random diffusion in a liquid phase-separated, membrane-less “macro-compartment” distinct from the remaining cytosol. Mutating three key surface lysine residues of HU nearly entirely abolished the weak and transitory interactions of HU with DNA and led to severe cell growth and DNA segregation defects, suggesting the importance of HU’s interactions with chromosomal DNA mediated by the positively charged surface. A conserved proline residue important for recognizing bent and cruciform DNAs such as that in recombination intermediates, similarly abolished HU’s rapid and transitory DNA interaction dynamics but had little impact on its apparent binding stability with nonspecific chromosomal DNAs. Interestingly, the proline residue appeared to be important for HUαβ dimer formation as mutating this residue makes HUαβ behave similarly to HUα2 dimers. Finally, we find that while prior evidence has found HU capable of depositing nucleoid-associated noncoding RNAs onto cruciform DNA structures, deletion of these specific naRNAs or inhibition of global transcription had a relatively minor effect on HU dynamics irrespective altered nucleoid compaction. Our results suggest a model of chromosome organization mediated by weak, transient interactions of HU, a substantial deviation from nucleoid-like proteins such as histones. Such collective sum of the numerous weak, transitory binding events of HU with nonspecific chromosome DNAs could generates a “force” to maintain a dynamic, fluid nucleoid with enough flexibility to rapidly facilitate global topological processes such as replication or nucleoid segregation.
Screening Mechanism When Online Users Have Privacy Concerns

In consumer-to-consumer online platforms that enable selling (e.g., eBay, Taobao) or sharing (e.g., Airbnb, Uber) of goods and services, information asymmetry between providers (e.g., sellers, hosts, drivers) and consumers (e.g., buyers, guests, passengers) pose challenges. Such platforms facilitate transactions between users (providers and consumers), who are often strangers. Stricter screening, background cheeks, and identity verification requirements may reduce the probability of bad users entering the platform. However, users are reluctant to share personal information on the internet. We design a matching mechanism to maximise platform profit when users are heterogeneous with some more likely to be good than others, but the platform does not know who. We argue that in some cases, the platform increases its profit by allowing users with a higher probability of being bad to join as well.
Obstacles and levers of interdisciplinary collaborative work. The case of ALLIBEAS.

ABSTRACT Interdisciplinary collaboration is often highlighted in official discourses and represents a considerable challenge for organisations, universities and schools. To address this challenge, proximities/distances, knowledge boundaries and boundary objects are useful concepts to analyse the obstacles facing interdisciplinary collaboration, and to identify levers to cross the knowledge boundaries between disciplines. We raise two research questions. Why is it so hard to work together and collaborate in an interdisciplinary context? How can interdisciplinary collaborative work be sustained? To answer these two questions, we mobilise the literature on the subject and analyse the case of ALLIBEAS. The study highlights three main findings. Cognitive and institutional distances and collective tacit knowledge create knowledge boundaries that make collaboration difficult. Geographical, social and organisational proximities facilitate interdisciplinary collaboration, but are not sufficient. Some micro processes and artefacts are needed to make students from different disciplines and schools interact, create social links, and cross knowledge boundaries.