Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and characterization of k-carrageenan platforms as periodontal intra-pocket films

Purpose: To prepare emulsion-based Intrapocket polymeric films for the treatment of periodontitis. Method: Films were fabricated by dehydration of an emulsion containing k-carrageenan (KC) in aqueous phase and Compritol 888 ATO (Compritol) or Dimodan UJ (DU) or different ratios of both. The resulting films were characterized by mechanical texture analyser to determine Young’s modulus and tensile strength. Glass transition temperature (Tg) of the films was evaluated by dynamic mechanical and thermal analyser while surface morphology was evaluated using scanning electron microscope. In-vitro drug release was conducted in pre-warmed phosphate buffer. Bacterial adherence was assessed after 24 h. Results: Young’s modulus was highest for KC films to which no lipid was added (5.33 ± 0.38 GPa) and decreased following lipid incorporation. Tg was highest in KC films (106.25 ± 4.53 ° C) but decreased upon addition of lipids. The surface of KC was smooth but roughness increased with increasing Compritol load. Drug release from KC films was complete (99.80 ± 8.43 %) after 2 h; however, upon adding lipid, the release was extended 8 h and was affected by lipid type and ratio. Microbiologic assay demonstrated noticeable reduction in viable count compared to control and was affected by lipid type and ratio. The film formulated from a combination of DU® and Compritol® in a ratio of 80:20 was strong, flexible and reduced microbial adherence. Moreover, it showed a smooth surface and extended release for over 8 h. Conclusion: Intra-pocket films were prepared by drying emulsion-based films. Resulted films were strong, flexible, prolonged drug release over 8 h and could lower bacterial growth. The prepared film may offer efficient treatment in periodontitis patients.
Evidence for Allometric Scaling of Government Services in American Cities

This paper seeks to identify scaling patterns in data relating to government services. It provides a general overview of the kinds of scaling that are associated with various aspects of government service in cities. It is hoped that these patterns will help to identify areas where social simulation methods might be productively applied while also providing quantitative targets against which such models can be validated. Using data from a variety of sources, the paper looks for evidence of allometric scaling in poverty and means tested programs, income tax revenue, healthcare services, air travel, and legal services. While none of these surveys provides the depth required to develop computational models of demand in these sectors, they can be taken together to develop insight into the areas of government enterprise where different types of scaling occur and where different approaches to computational modeling might
Using Spark, Kafka and NIFI for Future Generation of ETL in IT Industry

Vol. 3(2), Jul Dec 2019@ ISSN: 2581-723X 11 Abstract This Paper talks about using Apache NIFI, Kafka and Spark for next generation of ETL based on their specific key features and architectural frame works. By considering benefits of these 3 technologies, we can create ETL data pipeline in near real time. To achieve this, use NIFI for Data Extract and Load. Use Spark for Data Transformation. To integrate these two use Kafka as the integrating tool.
Academic standards in science - The good practice guide for Threshold Learning Outcome 1: Understanding science

With the broadening of participation in Australian Higher Education, it has become increasingly important that tertiary education institutions can provide evidence of the standard of education offered to students to ensure the quality of graduate outcomes. Teaching and Learning Standards are currently being developed by the Tertiary Education Quality and Standards Agency (TEQSA) as part of the Higher Education Standards Framework. To inform this process, The Learning and Teaching Academic Standards (LTAS) Project for Science has developed a list of five Threshold Learning Outcomes (TLOs) for science graduates (Jones, Yates & Kelder, 2011). These TLOs were developed through a period of detailed consultation with the Australian science community and describe what Australian science graduates should know and be able to do by the time they graduate. This paper focuses on the first of these TLOs, Understanding Science. The paper explains what this TLO means and why it is important for our undergraduate science students, before suggesting some good practice strategies for teaching and assessing the Understanding Science TLO. This information will be made available in the Good Practice Guide for TLO 1. REFERENCES Jones, S. , Yates, B. , & Kelder, J. (2011). Learning and Teaching Academic Standards Project: Science Learning and Teaching Academic Standards Statement. Sydney: Australian Learning and Teaching Council.
15 YEARS OF EXPERIENCE IN THE REPROCESSING OF MEDICAL DEVICES IN ELECTROPHYSIOLOGY

The heart catheter laboratory of the Medizinische Klinik und Poliklinik I Großhadern (Klinikum der LMU Munich) has been having its electrophysiological medical devices reprocessed by remed GmbH in Friedeburg for around 15 years. The company, a subsidiary of Vanguard AG, is certified according to DIN EN ISO 13485 and has the facilities and technical equipment which meet the highest requirements. During this period, more than 33,000 products have been reprocessed for us which were subsequently reused. We have at no time been able to determine any quality differences to new products or any disadvantages for the patients. As far as we are concerned, reprocessing done by professional service-providers provides us with an excellent opportunity of taking advantage of significant potential savings. Catch phrases Electrophysiology catheters, singleuse medical devices, reprocessing
Vocal Rehabilitation of Paralytic Dysphonia: IX. Technique of Intracordal Injection

The Problem Previous papers 1-3 have reported on the feasibility of restoring the voice in patients suffering from paralytic dysphonia through injecting innocuous substances into the paralyzed vocal cord by means of the technique originally developed by Brunings. 12 Interpretation, diagnosis, and functional evaluation of laryngeal paralysis have been discussed in order to define which conditions are suitable for this procedure. 4-11 In the meantime, other authors have confirmed our experiences and suggested that further studies should be undertaken. 14-16,18 The principle of restoring the voice through narrowing a deficient glottis has been corroborated also by J. G. Waltner, 20 who implanted a cartilaginous graft lateral to the cicatricial cord with good functional results. It seems to be the consensus of these opinions that intracordal injection is a suitable method for vocal rehabilitation in various conditions when the vocal disability is due to insufficient closure of the vocal cords during
The Impact of Monetary Policy on Stock Returns During Bull and Bear Markets : The Evidence From Turkey * Para

Bu çalışmanın amacı, 2002:1-2016:12 döneminde Türkiye’de ayı ve boğa piyasaları açısından hisse senedi getirilerinin ve oynaklığının para politikasına asimetrik tepkisini analiz etmektir. Ayı ve boğa piyasalarını tanımlamak amacıyla Markov rejim değişim modeli kullanılmıştır. Para politikası aracı olarak ise politika faiz oranı kullanılmıştır. Çalışmanın sonucunda, para politikasının boğa piyasasında daha etkin olduğu sonucuna ulaşılmıştır.
IDENTIFIKASI GENOTIPE DAN KARAKTERISASI GENOME VIRUS DENGUE DI INDONESIA UNTUK PENENTUAN PROTOTIPE VIRUS

Demam Berdarah Dengue saat ini masih merupakan penyakit virus terpenting di dunia, termasuk di Indonesia yang merupakan negara endemis penyakit ini. Penyakit ini disebabkan oleh virus dengue yang terdiri dari 4 serotipe yakni DEN-1, DEN-2, DEN-3, dan DEN-4. Saat ini belum tersedia obat untuk penyakit ini, demikian juga dengan vaksin, sehingga penanggulangan penyakit ini umumnya bergantung pada tatalaksana penderita dan pengendalian vektor nyamuk. Seperti penyakit lain yang disebabkan oleh virus, penyakit dengue bisa dicegah dengan vaksinasi. Saat ini beberapa pihak sedang mengembangkan vaksin dengue dan uji klinis vaksin ini juga sedang dilaksanakan di Indonesia. Walaupun ada kemungkinan keberhasilan vaksin dengue yang sedang diuji klinis saat ini, masih ada kemungkinan kegagalan atau ketidaksempurnaan vaksin tersebut untuk memberikan perlindungan terhadap infeksi dengue, terutama disebabkan karena faktor keragaman genetik virus dengue. Konsorsium Vaksin Dengue di Indonesia saat ini sedang mencoba mengembangkan vaksin dengue berbasis strain lokal Indonesia. Salah satu langkah awal pengembangan vaksin dengue adalah penyediaan strain virus prototipe yang akan dijadikan kandidat vaksin. Untuk itu, perlu dilakukan identifikasi genotipe dan karakterisasi genetik virus dengue di Indonesia, dengan harapan bisa menyediakan informasi dalam pemilihan strain lokal virus untuk seed vaksin.Dalam penelitian tahun pertama ini, telah dilakukan pengumpulan sampel isolat virus dengue dari delapan kota di Indonesia. Dari sampel-sampel tersebut, telah diketahui jenis-jenis serotipe virus dengue di Indonesia, di mana semua serotipe virus dengue beredar di Indonesia. Dari semua jenis serotipe tersebut, telah dilakukan penelitian mendalam untuk melihat genotipe dari masing-masing serotipe virus. Untuk virus DEN-1, genotipe yang beredar di Indonesia adalah Genotipe I dan IV, kemudian untuk DEN-2, genotipe yang ada adalah Genotipe Cosmopolitan. Selanjutnya DEN-3 didominasi oleh Genotipe I, serta DEN-4 didominasi oleh Genotipe II. Karakterisasi genetik terhadap virus dengue dilakukan lebih mendalam dengan melakukan pengurutan genom lengkap virus sebanyak 25 isolat. Variasi genetik didapatkan dari hasil analisa genom virus tersebut. Dari hasil penelitian ini, virus dengue yang secara genetik paling umum ditemukan di Indonesia akan dipilih sebagai prototipe virus yang selanjutnya akan digunakan dalam pengembangan vaksin dengue strain Indonesia oleh Konsorsium Vaksin Dengue Indonesia.
Online Appendix : Predict, Share, and Recycle your Way to Low Power Nanophotonic Networks

Silicon photonics is a very promising technology, because of the inherent advantages of light such as high bandwidth due to wavelength division multiplexing (WDM), high speed (7ps/mm) and the favorable power-performance tradeoffs while building optical networks [4,7,16,38,43,46]. Because of these advantages various photonic on-chip networks (PNOC) have been proposed in the literature [5, 6, 18, 45, 70, 73, 95]. Most of these proposals try to solve a major shortcoming of PNOCs – static power consumption. PShaRe is a PNOC, which incorporates several novel ideas to decrease static power consumption by nearly 4.7X as compared to other state of the art designs. In addition, it has several performance improving features as well. In this technical report we provide some details that could not be added to the main paper because of a lack of space. The organization of this report is as follows:
MINING EDUCATIONAL DATA TO ANALYZE TEACHING EFFECTIVENESS

Teaching effectiveness is a multidimensional construct in which teacher questioning skill is one of its key indicators. This paper explores the feasibility of applying data mining techniques to analyze teaching effectiveness using a data set of teachers’ questions. More specifically, the performance of nine data mining techniques is investigated for the classification of teachers’ classroom questions into the six Bloom's cognitive levels. To this end, a data set has been collected, annotated with Bloom’s cognitive levels, transformed into a suitable representation, and the data mining techniques have been applied. The results confirm the feasibility of applying data mining techniques to analyze teaching effectiveness. Moreover, the results show that the performances of these techniques vary, depending on the sensitivity of each technique to the curse of dimensionality problem. Most remarkably, Support Vector Machine and Random Forest techniques show a striking performance, whereas Adabost and J48 show a sharp deterioration in their performances as the dimensionality grows.
Delivery of Hydrophilic Drugs in Nanoparticulate Systems: the Contribution Made by the Technology Group of Turin University

This review discusses some approaches developed by the Turin University Pharmaceutical Technology group to enhance the entrapment efficiency of mainly hydrophilic molecules within nanoparticulate systems, and to optimize their delivery. Many attempts have been made to increase, either passively or actively, the delivery of hydrophilic drugs. One approach consists of their association to liposomes, in some cases by developing lipophilic prodrugs of anticancer hydrophilic molecules, and encapsulating them in liposomes; in some cases these are then further conjugated with suitable vectors, to increase targeting efficiency. The transformation of hydrophilic drugs into lipophilic prodrugs can also overcome problems of poor entrapment efficiency, and the frequently-observed rapid release from polymer nanocarriers, for example nanospheres or nanocapsules obtained from various PEGylated poly(alkylcyanoacrylate) copolymers. Strategies have also been developed to enhance hydrophilic drug entrapment in solid lipid nanoparticles (SLN). Of these, hydrophobic ion pairing (HIP) was designed to enable various antitumor drugs to be entrapped in SLN produced by the coacervation method. The w/o/w emulsion solvent dilution technique may also be employed to entrap peptide drugs, such as insulin, directly in the inner aqueous phase. Another strategy entails covalent linkage of antitumoral and antiviral drugs to a squalenoyl-derived chain; this produces bioconjugates that spontaneously self-assemble in an aqueous medium as stable nanoparticles. Another development comprises mesoporous silica nanoparticles with immobilized hydrophilic antioxidants, for topical applications. Ordered nanoparticles were complexed with hydrophilic antioxidants (Trolox ® or rutin) employing different inclusion procedures, varying solvent and pretreatment of the silica matrix; on exposure to UV illumination, mesoporous silica significantly improved stability over time. Finally, polymer-shelled and perfluoropentane-cored nanobubbles have been designed as versatile multifunctional carriers for the delivery of gases, drugs and genes; the size range is below 500 nm, with shell thickness in the 30-50 nm range. and 5’-palmitoyl-5-FUR were encapsulated in liposomes, and encapsulation drug leakage, stability, and size were evaluated. The results showed that 5’-palmitoyl-5-FUR
Analysis and Planning of the Cyber Security of SCADA Networks

The increasing dependence of critical infrastructures and industrial automation on interconnected physical and cyber-based control systems has resulted in an increasing and previously unpredicted cyber security threat to supervisory control and data acquisition (SCADA) systems and distributed control systems (DCSs). This work presents a review on SCADA cyber security and the case for improving security to SCADA systems. It examines the factors that have contributed to the growing vulnerability of control systems, and presents new standards designed to protect critical infrastructure including the use of encryption and authentication for SCADA systems. A comprehensive model for analysis and planning of the cyber security of SCADA networks is presented.
6A.3 A NEW LATENT HEAT FLUX PARAMETERIZATION FOR LAND SURFACE MODELS

Numerical weather prediction models require an accurate representation of initial land surface conditions in order to partition properly the sensible and latent heat fluxes that drive the evolution of the planetary boundary layer. Several key components of the land surface that significantly affect surface heat and moisture fluxes include soil temperature and moisture, fractional vegetation coverage ( σf ), and green leaf area index (LAI). The lack of observational data for the accurate specification of these components in model initial conditions is arguably the most difficult aspect in the evaluation of land surface models. Routine observations of σf and LAI are not available at high resolution ( ∼1 km), nor are soil moisture and soil temperature. This gap in our observational capabilities seriously hampers the evaluation and improvement of land surface model parameterizations, since improper initial conditions and inaccuracies in the model formulations very likely produce comparable model errors. Models accomplish the exchange of energy between the land surface and the atmosphere through land surface parameterizations (e.g., Bhumralkar 1975; Blackadar 1976; Deardorff 1978; McCumber and Pielke 1981; Pan and Mahrt 1987; Noilhan and Planton 1989), which characterize the state of the land surface and forecast the evolution of the lowest layer of the model atmosphere. The surface energy balance relies strongly upon the soil and near-surface conditions, and plays a critical role in determining the prognostic variables in land surface models. Surface energy fluxes depend heavily upon soil temperature and soil moisture conditions, as well as vegetation coverage, atmospheric conditions, and the physical properties of the soil. Soil moisture is an important component describing the land surface and provides a key link between the atmosphere and the water and energy balances at the surface of the earth (Wei 1995; Robock et al. 2000; Leese et al. 2001). It influences the available water for plant transpiration, and plays a role in the mass balance for many forecast models. Soil thermal conductivity estimates, which facilitate the proper
Dental diastemata and periodontal disease secondary to axially rotated maxillary cheek teeth in three horses

Summary Malerupted axially rotated maxillary cheek teeth (CT) were identified as the primary cause of diastemata and severe periodontitis in 3 horses. Diastema widening and periodontal debridement was performed initially in one case but did not resolve clinical signs. Subsequently, all 3 cases underwent extraction of the axially rotated teeth per os without complication. Follow-up indicated remission of periodontitis and signs of oral pain. In these cases, maxillary CT had erupted in a manner that resulted in axial rotation of CT with undulating buccal and palatal surfaces aligned with the interproximal surfaces of adjacent normally orientated teeth. This resulted in poor interproximal compression and diastemata causing severe periodontitis. Axially rotated maxillary CT and the severe periodontitis that they precipitate, have not been previously described as a discrete dental disease entity.
Monarchs, institutions, and the East Indies trade∗

The role of the monarchy and institutional change in England’s precious development is one of the most debated topics in economic history. We provide new insights by studying the trade of the English East India Company. Our key premise is that changes in the English monarchy shocked the quality of political governance when the monarch was unconstrained in the 1600s, but not in the 1700s when it was constrained by parliament. If that is correct then the growth of English East Indian trade should have been systematically different before and after changes in the monarchy, especially before 1700. We test this hypothesis using data on English Company and Dutch Company trade values and shipping decisions starting as early as 1601. The data show growth in English Company exports, shipping capacity, and ship exits were systematically different across monarchs before 1700, but not after 1700. Also pre-1700 differences were much larger for the English than the Dutch. The latter suggests that monarch changes mainly shocked the English Company and not all Companies in the East Indies trade. More broadly, our evidence shows the effects of monarchs differed greatly across institutional environments, and they mattered much less in the context where monarchs were constrained.
Ridge Regression From Correlation Matrix Input

This paper describes a sequence of SAS®programs that read a fiat file containing a correlation matrix and auxiliary information, then perform a ridge regression from the correlation matrix. The motivation for the project arose from the need of one -of our users at the University of Delaware (Arthur Hoed) to carry out a ridge regression from a published correlation matrix for which the original data no longer existed. All existing software at our installation capable of calculating a ridge regression required raw data as input. The paper is organized into three sections. The first summarizes the problem of multicollinearity and the ridge-regression approach to reducing it. The second describes a set of SAS programs which carry out a sequence of ridge regressions, and the last presents some examples of using the programs.
Improved Fast Rerouting Using Postprocessing

To provide fast traffic recovery upon failures, most modern networks support static Fast Rerouting (FRR) mechanisms for mission critical services. However, configuring FRR mechanisms to tolerate multiple failures poses challenging algorithmic problems. While state-of-the-art solutions leveraging arc-disjoint arborescence-based network decompositions ensure that failover routes always reach their destinations eventually, even under multiple concurrent failures, these routes may be long and introduce unnecessary loads; moreover, they are tailored to worst-case failure scenarios. This paper presents an algorithmic framework for improving a given FRR network decomposition, using postprocessing. In particular, our framework is based on iterative arc swapping strategies and supports a number of use cases, from strengthening the resilience (e.g., in the presence of shared risk link groups) to improving the quality of the resulting routes (e.g., reducing route lengths and induced loads). Our simulations show that postprocessing is indeed beneficial in various scenarios, and can therefore enhance today's approaches.
LDeform: Longitudinal Deformation Analysis for Adaptive Radiotherapy of Lung Cancer.

PURPOSE Conventional radiotherapy for large lung tumors is given over several weeks, during which the tumor typically regresses in a highly non-uniform and variable manner. Adaptive radiotherapy would ideally follow these shape changes, but we need an accurate method to extrapolate tumor shape changes. We propose a computationally efficient algorithm to quantify tumor surface shape changes that makes minimal assumptions, identifies fixed points, and can be used to predict future tumor geometrical response. METHODS A novel combination of non-rigid iterative closest point (ICP) and local shape-preserving map algorithms, LDeform, is developed to enable visualization, prediction and categorization of both diffeomorphic and non-diffeomorphic tumor deformations during an extended course of radiotherapy. RESULTS We tested and validated our technique on 31 longitudinal CT/MRI subjects, with 5-9 time points each. Based on this tumor deformation analysis, regions of local growth, shrinkage and anchoring are identified and tracked across multiple time points. This categorization in turn represents a rational biomarker of local response. Results demonstrate useful predictive power, with an averaged dice coefficient and surface mean-squared error of 0.85 and 2.8mm, respectively over all images. CONCLUSIONS We conclude that the LDeform algorithm can facilitate the adaptive decision-making process during lung cancer radiotherapy.