Miracle-dz/UniFAR-FTUs huggingface dataset:
The evaluation of probiotic as an adjunct to scaling and root planing in chronic periodontitis patients - A clinical, microbiological and biochemical study

Introduction: As probiotics are emerging as an essential treatment modality for chronic periodontitis its role is not well established. This study aimed to evaluate the efficacy of probiotic as an adjunct to Scaling and Root Planing (SRP) in chronic periodontitis. The clinical parameters, the levels of Matrix Metalloproteinases 8 in gingival crevicular fluid and the presence & reduction of Porphyromonas gingivalis in subgingival plaque samples were determined. Materials and Methods: This clinical study was conducted for 6 weeks with a single evaluator to investigate the effect of probiotic as an adjunct to SRP in chronic periodontitis. The clinical parameters were analyzed at baseline, 3 weeks and 6 weeks. This study also evaluated the effect of Probiotic on Matrix metalloproteinase 8 levels in GCF and on the existence of Porphyromonas gingivalis in subgingival plaque after 3 weeks. Results: Clinical parameters, gingival crevicular fluid Matrix Metalloproteinase 8 and Subgingival plaque levels of Porphyromonas gingivalis were reduced in Control (Group I) and Probiotic study (Group II) at baseline and 6 weeks. On comparing the groups, Group II had a significant decrease in clinical, microbiological and biochemical parameters than Group I, post treatment. Conclusion: Probiotics have great potential in arena of periodontics in terms of plaque formation, altering anaerobic bacterial colonization, reduction in Pocket Depth, gingival bleeding and clinical attachment level and in treating halitosis. Probiotics can be used as an effective adjunctive therapy to conventional non-surgical periodontal treatment in Chronic Periodontitis patients. Keywords: Chronic periodontitis, Probiotics, Scaling and root planing, Gingival bleeding, Halitosis.
Introduction To Calculus And Analysis

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Possibilities and challenges of learning German in a multimodal environment: A case study

Abstract Despite a growing body of research on task-based language learning (TBLT) (Samuda & Bygate, 2008; Ellis, 2003), there is still little information available regarding the pedagogical design behind tasks and how they are implemented (Samuda & Bygate, 2008). Scholars in computer-mediated second language (L2) learning have called for research to fill in this gap by reflecting critically on task design and the subsequent implementation process (Fuchs, Hauck & Müller-Hartmann, 2012; Hampel, 2010; Hampel & Hauck, 2006; Hampel & Plaines, 2013; Hauck, 2010), instead of considering a task an “unproblematic fait accompli” (O’Dowd & Ware, 2009: 174). In response to this charge, the present case study provides a critical analysis of tasks carried out in a first-year German language course built around the weekly TV-series, Rosenheim-Cops (ZDF). These tasks drew from research on multimodality (Kress & van Leeuwen, 2001; Norris & Maier, 2014) providing a framework for understanding how multiple semiotic systems work together to create meaning. The insights provided by this study have relevance for research on multimodal task design (Hampel & Hauck, 2006) through examining the possibilities and limitations of beginner second language (L2) learners’ effective use of authentic resources. The results suggest that the tasks encouraged semiotic awareness, helped activate referential knowledge useful for accessing multimodal resources, and elicited a positive response to authentic L2 use in context. The challenges of implementing these tasks included variation in learners’ engagement with authentic multimedia resources, either due to L2 skills levels or the level of interest in the particular resource used.
Quasidiagonality of $C^*$-algebras of solvable Lie groups

We characterize the solvable Lie groups of the form ${\mathbb R}^m\rtimes {\mathbb R}$, whose $C^*$-algebras are quasidiagonal. Using this result, we determine the connected simply connected solvable Lie groups of type~I whose $C^*$-algebras are strongly quasidiagonal. As a by-product, we give also examples of amenable Lie groups with non-quasidiagonal $C^*$-algebras.
FAKTOR YANG BERHUBUNGAN DENGAN KINERJA KADER POSBINDU PENYAKIT TIDAK MENULAR

Penyakit tidak menular (PTM) terus mengalami peningkatan disetiap tahunnya. Inovasi dan strategi yang dilakukan dalam pengendalian PTM di tingkat dasar salah satunya melalui kegiatan pos pembinaan terpadu (posbindu). Posbindu PTM dapat berjalan dengan partisipasi aktif kader dan masyarakat. Tujuan penelitian untuk menganalisis faktor yang berhubungan dengan kinerja kader Posbindu PTM. Penelitian menggunakan desain cross sectional. Populasi dalam penelitian ini adalah 95 kader Posbindu PTM dari 19 Posbindu PTM yang ada di Kota Banjarmasin. Sampel berjumlah 78 orang, penghitungan sampel menggunakan rumus Slovin, teknik sampling simple random sampling . Instrumen penelitian menggunakan kuesioner. Ada hubungan sikap dengan kinerja (p=0,000 OR=25,600), ada hubungan motivasi dengan kinerja (p=0,000 OR=67,000), tidak ada hubugan SDM dengan kinerja (p=0,258), ada hubungan penghargaan dengan kinerja (p=0,013 OR=10,400), ada hubungan desain pekerjaan dengan kinerja (p=0,000 OR=36,750) dan tidak ada hubungan peran pemangku kepentingan dengan kinerja (p= 0,288). Secara simultan sikap, motivasi, SDM, penghargaan dan desain pekerjaan 90% mempengaruhi kinerja kader Posbindu PTM. Ada hubungan positif sikap, motivasi, penghargaan dan desain pekerjaan dengan kinerja kader Posbindu PTM dan tidak ada hubungan SDM dan peran pemangku kepentingan dengan kinerja kader Posbindu PTM. Saran varabel motivasi dan desain pekerjaan adalah paling dominan berhubungan dengan kinerja kader sehingga dapat diambil sebagai pedoman atau pertimbangan dalam merencanakan kegiatan untuk meningkatkan kinerja kader Posbindu PTM.
Chaotic Rotations of a Rigid Ellipsoidal Body Exhibiting Spin-Orbit Misalignment in a Periodic Orbit

We study chaotic rotations of a rigid ellipsoidal body due to the effects of gravitational torques, in the case where this body exhibits spin-orbit misalignment. After first deriving a simple model of a rigid ellipsoid of uniform mass distribution with principal axis of rotation directed slightly out of the orbital plane, we prove using the Melnikov method that this perturbation is sufficient to excite the ellipsoid to chaotically rotate for a circular orbit. We further verify this analytical result with numerical time series and Poincaré sections for circular orbits. We then use numerical simulations to demonstrate that elliptical orbits provide further pathways to chaos. Our primary finding is that increasing the degree of spin-orbit misalignment will increase the prevalence of initial conditions leading to chaotic dynamics, for elliptical bodies on both circular and elliptical orbits. Indeed, our results suggest that chaotic rotation of elongated bodies exhibiting spin-orbit misalignment is somewhat common for large enough deviation of the principal axis of rotation from the normal to the orbital plane, provided the rigid body lacks rotational symmetry around its spin-axis and, furthermore, exhibits sufficiently small angular momentum so that the effects of gravitational torques are nontrivial.
Multiple attribute decision making with triangular intuitionistic fuzzy numbers based on zero-sum game approach

For many decision problems with uncertainty, triangular intuitionistic fuzzy number is a useful tool in expressing ill-known quantities. This paper develops a novel decision method based on zero-sum game for multiple attribute decision making problems where the attribute values take the form of triangular intuitionistic fuzzy numbers and the attribute weights are unknown. First, a new value index is defined for triangular intuitionistic fuzzy numbers on the basis of the centroid. Thereby, a new ranking approach is presented for comparing triangular intuitionistic fuzzy numbers. We formulate a multiple attribute decision making problem as a two-person zero-sum game with payoffs of triangular intuitionistic fuzzy numbers. Then, following the new ranking approach, the fuzzy matrix game is converted as a pair of crisp linear programming models, and the optimal strategies are objectively derived by solving such models. Therefore, the ranking order of alternatives is determined by the expected scores of alternatives. An example of video monitoring system selection is demonstrated to illustrate the effectiveness of the proposed methodology.
Optimal Design of Air Quality Monitoring Network for Pollution Detection and Source Identification in Industrial Parks

Dense air quality monitoring network (AQMN) is one of main ways to surveil industrial air pollution. This paper is concerned with the design of a dense AQMN for H2S for a chemical industrial park in Shanghai, China. An indicator (Surveillance Efficiency, SE) for the long-term performance of AQMN was constructed by averaging pollution detection efficiency (rd) and source identification efficiency (rb). A ranking method was developed by combing Gaussian puff model and Source area analysis for improving calculation efficiency. Candidate combinations with highest score were given priority in the selection of next site. Two existing monitors were suggested to relocate to the west and southwest of this park. SE of optimized AQMN increased quickly with monitor number, and then the growth trend started to flatten when the number reached about 60. The highest SE occurred when the number reached 110. Optimal schemes of AQMNs were suggested which can achieve about 98% of the highest SE, while using only about 60 monitors. Finally, the reason why the highest SE is less than 1 and the variation characteristics of rd and rb were discussed. Overall, the proposed method is an effective tool for designing AQMN with optimal SE in industrial parks.
The Information-Autoencoding Family: A Lagrangian Perspective on Latent Variable Generative Modeling

A variety of learning objectives have been recently proposed for training generative models. We show that many of them, including InfoGAN, ALI/BiGAN, ALICE, CycleGAN, VAE, $\beta$-VAE, adversarial autoencoders, AVB, and InfoVAE, are Lagrangian duals of the same primal optimization problem. This generalization reveals the implicit modeling trade-offs between flexibility and computational requirements being made by these models. Furthermore, we characterize the class of all objectives that can be optimized under certain computational constraints. Finally, we show how this new Lagrangian perspective can explain undesirable behavior of existing methods and provide new principled solutions.
A symplectic view of stability for traveling waves in activator-inhibitor systems

Paul Cornwell: A symplectic view of stability for traveling waves in activator-inhibitor systems (Under the direction of Christopher K.R.T. Jones) This thesis concerns the stability of traveling pulses for reaction-diffusion equations of skewgradient (a.k.a activator-inhibitor) type. The centerpiece of this investigation is a homotopy invariant called the Maslov index which is assigned to curves of Lagrangian planes. The Maslov index has been used in recent years to count positive eigenvalues for self-adjoint Schrödinger operators. Such operators arise, for instance, from linearizing a gradient reaction-diffusion equation about a steady state. In that case, positive eigenvalues correspond to unstable modes. In this work, we focus on two aspects of the Maslov index as a tool in the stability analysis of nonlinear waves. First, we show why and how the Maslov index is useful for traveling pulses in skew-gradient systems, for which the associated linear operator is not self-adjoint. This leads naturally to a discussion of the famous Evans function, the classic eigenvalue-hunting tool for steady states of semilinear parabolic equations. A major component of this work is unifying the Evans function theory with that of the Maslov index. Second, we address the issue of calculating the Maslov index, which is intimately tied to its utility. The key insight is that the relevant curve of Lagrangian planes is everywhere tangent to an invariant manifold for the traveling wave ODE. The Maslov index is then encoded in the twisting of this manifold as the wave moves through phase space. We carry out the calculation for fast traveling pulses in a doubly-diffusive FitzHugh-Nagumo system. The calculation is made possible by the timescale separation of this system, which allows us to track the invariant manifold of interest using techniques from geometric singular perturbation theory. Combining the calculation with the stability framework established in the first part, we conclude that the pulses are stable.
Current delay analysis techniques and improvements

Although, 'but-for,' and 'windows' methods are widely used in analyzing delays on construction projects, these methods suffer from several weaknesses, and need improvement. This article discusses some improvements to the currently used delay analysis techniques. An ideal method should include all types of delays, accelerations, pacing delays; and a definition of concurrent delay that matches with real resources allocation profiles. Also, the delay analysis should proceed one day at a time, accounting for the changes in criticalities of the project activities. A version of this article was included as paper PS.20 on the 2005 AACE International Transactions CD.
Retrospective analysis of GLEs and estimates of radiation risks

28 February 2017 marked 75 years since the first confident registration of solar cosmic rays (SCRs), i.e., accelerated solar particles with energies from about 106 to ~1010 ÷ 1011 eV. Modern state of the problems related to the studies of Ground Level Enhancements (GLEs) of relativistic SCRs is critically analyzed based on available direct and proxy data. We are also taking into account extremely large fluxes of non-relativistic solar energetic particles (SEPs). Both kinds of SCR events are of great astrophysical and geo-scientific (geophysical) interests. A number of the GLE properties (total statistics, occurrence rate, longitude distribution, ranking of GLEs, a number of specific GLEs – so-called “rogue” SEP events etc.) are discussed in some detail. We note also the problems of GLE identification (definition) by ground-based observations, the difficulties in the studies of weak (“hidden”, or sub-) GLEs etc. One of serious challenges to the problem of radiation hazard in space is a lack of a clear, unambiguous relation between the fluxes (fluences) of relativistic SCR and non-relativistic SEPs. Special attention is paid to the recent debate on the validity, origin and properties of the “ancient” events AD775, AD994, AD1859 (Carrington event) and BC3372. We demonstrate that, in spite of existing uncertainties in proton fluences above 30 MeV, all of them are fitted well by a unique distribution function, at least, with the present level of solar activity. Extremely large SEP events are shown to obey a probabilistic distribution on their fluences with a sharp break in the range of large fluences (or low probabilities). The studies of this kind may be extended for periods with different levels of solar activity in the past and/or in the future. Dose rates at aircraft altitudes are also demonstrated during some GLEs. Several examples of using the SCR data and GLE properties in radiation prediction schemes are considered.
Homogenization for dislocation based gradient visco-plasticity

In this work we study the homogenization for infinitesimal dislocation based gradient viscoplasticity with linear kinematic hardening and general non-associative monotone plastic flows. The constitutive equations in the models we study are assumed to be only of monotone type. Based on the generalized version of Korn’s inequality for incompatible tensor fields (the non-symmetric plastic distortion) due to Neff et al., we derive uniform estimates for the solutions of quasistatic initial-boundary value problems under consideration and then using an unfolding operator technique and a monotone operator method we obtain the homogenized system of equations.
A post hoc analysis of intra-subject coefficients of variation in pharmacokinetic measures to calculate optimal sample sizes for bioequivalence studies

Because bioequivalence studies are performed using a crossover design, information on the intra-subject coefficient of variation (intra-CV) for pharmacokinetic measures is needed when determining the sample size. However, calculated intra-CVs based on bioequivalence results of identical generic drugs produce different estimates. In this study, we collected bioequivalence results using public resources from the Ministry of Food and Drug Safety (MFDS) and calculated the intra-CVs of various generics. For the generics with multiple bioequivalence results, pooled intra-CVs were calculated. The estimated intra-CVs of 142 bioequivalence studies were 14.7±8.2% for AUC and 21.7±8.8% for Cmax. Intra-CVs of Cmax were larger than those of area under the concentration-time curve (AUC) in 129 studies (90.8%). For the 26 generics with multiple bioequivalence results, the coefficients of variation of intra-CVs between identical generics (mean±sd (min ~ max)) were 38.0±24.4% (1.9 ~ 105.3%) for AUC and 27.9±18.2 % (4.0 ~ 70.1%) for Cmax. These results suggest that substantial variation exists among the bioequivalence results of identical generics. In this study, we presented the intra-CVs of various generics with their pooled intra-CVs. The estimated intra-CVs calculated in this study will provide useful information for planning future bioequivalence studies.
Best Linear Approximations to Set Identified Functions: With an Application to the Gender Wage Gap

This paper provides inference methods for best linear approximations to functions which are known to lie within a band. It extends the partial identifi cation literature by allowing the upper and lower functions de ning the band to carry an index, and to be unknown but parametrically or non-parametrically estimable functions. The identi fication region of the parameters of the best linear approximation is characterized via its support function, and limit theory is developed for the latter. We prove that the support function can be approximated by a Gaussian process and establish validity of the Bayesian bootstrap for inference. Because the bounds may carry an index, the approach covers many canonical examples in the partial identi fication literature arising in the presence of interval valued outcome and/or regressor data: not only mean regression, but also quantile and distribution regression, including sample selection problems, as well as mean, quantile, and distribution treatment effects. In addition, the framework can account for the availability of instruments. An application is carried out, studying female labor force participation using data from Mulligan and Rubinstein (2008) and insights from Blundell, Gosling, Ichimura, and Meghir (2007). Our results yield robust evidence of a gender wage gap, both in the 1970s and 1990s, at quantiles of the wage distribution up to the 0.4, while allowing for completely unrestricted selection into the labor force. Under the assumption that the median wage offer of the employed is larger than that of individuals that do not work, the evidence of a gender wage gap extends to quantiles up to the 0.7. When the assumption is further strengthened to require stochastic dominance, the evidence of a gender wage gap extends to all quantiles, and there is some evidence at the 0.8 and higher quantiles that the gender wage gap decreased between the 1970s and 1990s.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik dengan Pendekatan Weighted Product

Karyawan terbaik dan berkualitas merupakan aset Perusahaan yang akan membuat Perusahaan berkembang dengan pesat. Kinerja karyawan cukup berpengaruh dalam keuntungan yang didapat oleh Perusahaan itu sendiri. Oleh karena itu dibutuhkan sumber daya manusia yang mempunyai kompetensi dan loyalitas yang tinggi. Diperlukan USAha yang maksimal dalam meningkatkan kinerja karyawan. Salah satunya adalah memilih karyawan terbaik guna menstimulus karyawan agar meningkatkan kinerjanya. Sistem pendukung keputusan memberikan alternatif dalam menentukan siapa karyawan terbaik yang akan dipilih. Karena sifat sistem pendukung keputusan yang objektif, cepat, akurat dan berbasis komputer sehingga akan memudahkan dalam pemilihan karyawan terbaik. Metode Weighted Product merupakan bagian dari konsep Fuzzy Multi-Attibut Decision Making (FMADM) dimana diperlukan proses normalisasi di dalam perhitungan normalisasinya. Metode ini secara spesifik menghitung kepada bobot nilai di setiap kriteria yang ada. Sistem pendukung keputusan ini merupakan alat bantu solutif yang dapat memberikan solusi yang dapat membantu dalam proses pemilihan karyawan terbaik secara komputerisasi agar lebih efektif dan efisien. Hasil penelitian membuktikan bahwa aplikasi ini mampu membantu Perusahaan dalam proses seleksi pemilihan karyawan terbaik dengan metode weighted product, serta memberikan informasi karyawan terbaik secara efektif dan efisien.
PENGARUH PENAMBAHAN BUBUK JAMUR TIRAM (Pleurotus ostreatus) TERHADAP KARAKTERISTIK DENDENG DAUN UBI KAYU (Manihot esculenta)

Penelitian ini bertujuan untuk mengetahui pengaruh penambahan bubuk jamur tiram terhadap karakteristik dendeng daun ubi kayu dan untuk mengetahui produk terbaik dendeng daun ubi kayu dengan penambahan bubuk jamur tiram dilihat dari sifat fisika, kimia, mikrobiologi dan organoleptik. Rancangan yang digunakan pada penelitian ini adalah Rancangan Acak Lengkap (RAL) dengan 5 perlakuan (perbedaan penambahan bubuk jamur tiram: 0%; 5%; 10%; 15%; 20%) dengan 3 kali ulangan. Data dianalisis secara statistik dengan menggunakan ANOVA dan dilanjutkan dengan Duncan’s New Multiple Range Test (DMNRT) pada taraf nyata 5%. Penelitian ini menunjukkan adanya pengaruh penambahan bubuk jamur tiram terhadap rendemen, kadar air, kadar abu, kadar lemak, kadar protein, orgnoleptik rasa dan tidak berpengaruh terhadap organoleptik (warna, aroma, tekstur) dan Angka Lempeng Total (ALT) pada dendeng daun ubi kayu. Pada hasil uji fisika, kimia, mikrobiologi dan organoleptik, produk terbaik adalah produk dendeng daun ubi kayu dengan penambahan bubuk jamur tiram 20%, dengan nilai rendemen 45,60%; kadar air 2,85%; kadar abu 6,22%; kadar lemak 10,23%; kadar protein 16,45%; organoleptik (warna 3,3 (biasa); aroma 3,9 (suka); tekstur 3,6 (suka) dan rasa 3,1 (biasa)) dan angka lempeng total (ALT) 3,4 x 102 koloni/g. Pendugaan masa simpan produk dendeng daun ubi kayu dengan parameter bilangan peroksida dan asam lemak bebas, masih layak diterima panelis pada suhu 30°C selama 163 hari; pada suhu 40°C selama 158 hari dan pada suhu 60°C selama 149 hari. Kata Kunci: Jamur tiram, karakteristik, daun ubi kayu, dendeng, umur simpan