Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of 3′ UTR motifs required for mRNA localization to myelin sheaths in vivo

Myelin is a specialized membrane produced by oligodendrocytes that insulates and supports axons. Oligodendrocytes extend numerous cellular processes, as projections of the plasma membrane, and simultaneously wrap multiple layers of myelin membrane around target axons. Notably, myelin sheaths originating from the same oligodendrocyte are variable in size, suggesting local mechanisms regulate myelin sheath growth. Purified myelin contains ribosomes and hundreds of mRNAs, supporting a model that mRNA localization and local protein synthesis regulate sheath growth and maturation. However, the mechanisms by which mRNAs are selectively enriched in myelin sheaths are unclear. To investigate how mRNAs are targeted to myelin sheaths, we tested the hypothesis that transcripts are selected for myelin enrichment through consensus sequences in the 3’ untranslated region (3’ UTR). Using methods to visualize mRNA in living zebrafish larvae, we identified candidate 3’ UTRs that were sufficient to localize mRNA to sheaths and enriched near growth zones of nascent membrane. We bioinformatically identified motifs common in 3’ UTRs from three myelin-enriched transcripts and determined that these motifs are required for mRNA transport to myelin sheaths. Finally, we show that one motif is highly enriched in the myelin transcriptome, suggesting that this sequence is a global regulator of mRNA localization during developmental myelination.
A Deterministic Approach to Partitioning Neural Network Training Data for the Classification Problem

The classification problem in discriminant analysis involves identifying a function that accurately classifies observations as originating from one of two or more mutually exclusive groups. Because no single classification technique works best for all problems, many different techniques have been developed. For business applications, neural networks have become the most commonly used classification technique and though they often outperform traditional statistical classification methods, their performance may be hindered because of failings in the use of training data. This problem can be exacerbated because of small data set size. In this dissertation, we identify and discuss a number of potential problems with typical random partitioning of neural network training data for the classification problem and introduce deterministic methods to partitioning that overcome these obstacles and improve classification accuracy on new validation data. A traditional statistical distance measure enables this deterministic partitioning. Heuristics for both the two-group classification problem and k-group classification problem are presented. We show that these heuristics result in generalizable neural network models that produce more accurate classification results, on average, than several commonly used classification techniques. In addition, we compare several two-group simulated and real-world data sets with respect to the interior and boundary positions of observations within their groups' convex polyhedrons. We show by example that projecting the interior points of simulated data to the boundary of their group polyhedrons generates convex shapes similar to real-world data group convex polyhedrons. Our two-group deterministic partitioning heuristic is then applied to the repositioned simulated data, producing results superior to several commonly used classification techniques. iii DEDICATION I dedicate this work to my wife Julie and to our newborn son Jacob. Julie, you have made this journey possible for me. Your support and constant encouragement helped me through all the highs and lows over the past three years. I love you so very much. To Jacob, the thought of your arrival gave me the strength to complete my degree. Now that you are with us, I can't image life without you. iv ACKNOWLEDGEMENTS I would like to extend a work of thanks to Dr. Cliff Ragsdale, my major professor, for the guidance you have provided to me. You have challenged me every step of the way. I can now say that I have seen the very best in action. Thank you to those who served on my committee: Dr. Thank you for your patience, input, and guidance. I would also …
Contraceptive use and controlled fertility : health issues for women and children : background papers

These four papers supplement the book Contraception and Reproduction: Health Consequences for Women and Children in the Developing World by bringing together data and analyses that would otherwise be difficult to obtain in a single source. The topics addressed are an analysis of the relationship between maternal mortality and changing reproductive patterns; the risks and benefits of contraception; the effects of changing reproductive patterns on infant health; and the psychosocial consequences to women of controlled fertility and contraceptive use.
Carbohydrate Response of Bermudagrass, Dallisgrass, and Smutgrass to Atrazine, Bromacil and MSMA

Analysis for total carbohydrate content was made on oven dried bermudagrass [Cynodon dactylon (L.) Pers. ] dallisgrass (Paspalum dilatatum Poir.) and smutgrass [Sporobolus poiretii (R. & S.) Hitchc. ] storage tissue collected at 2, 4, 6, or 36 weeks after fall treatment and at 2, 4, or 6 weeks after fall and spring treatment with three herbicides at varying rates. Those species that survived either fall or fall and spring herbicide application exhibited an initial reduction in carbohydrate content, but it returned to a level comparable to that in the untreated plants in most instances within 6 weeks after treatment. Atrazine [2-chloro-4-(ethylamino)-6-(isopropylamino)-s-triazine] at 4.48 and 8.96 kg/ha and bromacil (5-bromo-3-sec-butyl-6-methyluracil) at 2.24 and 4.48 kg/ha resulted in carbohydrate reduction in bermudagrass and dallisgrass for no more than 6 weeks except where both fall and spring treatments were used. Smutgrass was controlled with these two herbicides within 2 weeks so that not enough live tissue was available for analysis. There was no carbohydrate reduction in bermudagrass with the 2.24, 4.48, or 8.96 kg/ha rates of MSMA (monosodium methanearsonate) beyond 2 weeks following treatment. The carbohydrate content of smutgrass was reduced up to 6 weeks after treatment with MSMA, and dallisgrass was controlled at all rates so that no carbohydrate analysis could be made.
Perfect control for right-invertible Grünwald-Letnikov plants – an innovative approach to practical implementation

Abstract A new perfect control algorithm dedicated to fractional-order right-invertible systems, i.e. plants with a greater number of input than output variables, is presented in this paper. It is shown that such a control strategy can be particularly applied with regard to practical tasks. Henceforth, the Grünwald-Letnikov difference operator Δα of an assumed order α can be truncated without loss of generality. For that reason, the so-called pole-free perfect control formula can be used to minimize the essential drawback of the Grünwald-Letnikov approach engaged, so as to define the intriguing issue regarding the robust perfect control for non-integer-order right-invertible LTI discrete-time state-space systems. Simulation examples show that the presented method can compete with a classical stable-pole one, for which the actual systems described by a fractional-order model often correspond with an inconvenient asymptotic perfect control solution given by the unlimited original operator Δα. In the end, the possibility of employing of author’s nonunique right inverses dedicated to nonsquare MIMO system matrices is demonstrated, thus giving rise to the introduction of a new powerful tool for robustification of non-integer-order closed-loop perfect control plants as well.
Mathematics of Statistiscal Sequential Decision Making

HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés. Mathematics of Statistiscal Sequential Decision Making Odalric-Ambrym Maillard
A robust parallel programming model for dynamic non-uniform scientific computations

LPARX provides efficient run-time support for dynamic, non-uniform scientific calculations running on MIMD distributed memory architectures. It extends HPF's data decomposition model to provide support for dynamic, block irregular data structures. LPARX represents data decompositions as first-class objects and expresses data dependencies in a manner which is logically independent of data decomposition and problem dimension. LPARX applications are portable across a diversity of MIMD machines. We have implemented a number of applications in LPARX-including a 3D particle calculation and 2D and 3D adaptive multigrid solvers-which could not have been efficiently implemented in HPF. <<ETX>>
Magnet-Free Circulator Based on Spatiotemporal Modulation of Photonic Crystal Defect Cavities

Implementing optical circulators in a microphotonic platform is challenging because magneto-optical effects are weak and the required materials are difficult to integrate in subwavelength geometries. Herein we propose a realistic geometry, verified by finite-difference time-domain simulations, showing how spatiotemporal modulation of an array of photonic crystal cavities via the electro-optic effect can be used to induce efficient nonreciprocal wave propagation in a realistic platform. The modulation is applied to three coupled cavities in a two-dimensional photonic crystal lattice, resulting in a compact spatial footprint. The resulting system requires modest modulation amplitudes and frequencies and cavities with realistic cavity quality factors, all of which are within the range of experimental implementation. We also explore the effects of unavoidable geometrical imperfections, and we show how the spatiotemporal modulation scheme can be optimized to compensate for the performance degradation resulting.
Life Cycle Analysis of Lithium-Ion Batteries for Automotive Applications

In light of the increasing penetration of electric vehicles (EVs) in the global vehicle market, understanding the environmental impacts of lithium-ion batteries (LIBs) that characterize the EVs is key to sustainable EV deployment. This study analyzes the cradle-to-gate total energy use, greenhouse gas emissions, SOx, NOx, PM10 emissions, and water consumption associated with current industrial production of lithium nickel manganese cobalt oxide (NMC) batteries, with the battery life cycle analysis (LCA) module in the Greenhouse Gases, Regulated Emissions, and Energy Use in Transportation (GREET) model, which was recently updated with primary data collected from large-scale commercial battery material producers and automotive LIB manufacturers. The results show that active cathode material, aluminum, and energy use for cell production are the major contributors to the energy and environmental impacts of NMC batteries. However, this study also notes that the impacts could change significantly, depending on where in the world the battery is produced, and where the materials are sourced. In an effort to harmonize existing LCAs of automotive LIBs and guide future research, this study also lays out differences in life cycle inventories (LCIs) for key battery materials among existing LIB LCA studies, and identifies knowledge gaps.
Hybrid expert systems for monitoring and fault diagnosis

The integration of connectionist and symbolic techniques within the one system is considered. The authors discuss the advantages of hybrid connectionist/symbolic knowledge-based systems. Integrating the two approaches can take many forms. A problem could be represented as a mixed connectionist and symbolic knowledge base with modes of reasoning selected as appropriate to the current task, or as one mode of reasoning embedded in a system where the overall flow of control is determined by the other mode. Both of these allow reasoning tasks to be undertaken using the appropriate mode, but also require a knowledge representation accessible to both modes. Two telecommunications problems that were solved using hybrid connectionist and rule-based reasoning are presented. The first application for hybrid reasoning is in the area of performance monitoring and fault diagnosis in telecommunication network management. The second application is a system that predicts and diagnoses faults in a telecommunication cable distribution network. Hybrids can extend the role played by knowledge-based systems by allowing different modes of knowledge representation and reasoning to be used when strict rule-based techniques do not work. <<ETX>>
Generalized estimating equations for analyzing multivariate survival data

Abstract Generalized estimating equations (GEE) approach has been used to estimate the parameters in semiparametric accelerated failure time (AFT) models with clustered and censored data. However, the working correlation model has a substantial impact on estimator efficiency when using the GEE method. This article proposes a general correlation model to incorporate the correlations among the clustered and censored data and protect against avoidable loss of efficiency associated with misspecified correlation structure. The proposed estimator is consistent and asymptotically normal. Simulation studies are carried out to demonstrate the effectiveness of the proposed method. Finally, a real dataset from a toxicology study is analyzed for illustration.
PERLAWANAN PEREMPUAN LAJANG TERHADAP NORMA BUDAYA PATRIARKAT KAJIAN FEMINIS TERHADAP NAYLA TOKOH UTAMA NOVEL NAYLA KARYA DJENAR MAESA AYU

Norannabiela. 2013. “Perlawanan Perempuan Lajang terhadap Norma Budaya Patriarkat; Kajian Feminis terhadap Nayla Tokoh Utama Novel Nayla Karya Djenar Maesa Ayu”. Skripsi Jurusan Sastra Indonesia, Fakultas Ilmu Budaya, Universitas Diponegoro. Tujuan penelitian ini adalah mengungkap bentuk-bentuk persoalan gender dan bentuk-bentuk perlawanan terhadap norma budaya patriarkat dalam novel Nayla. Penulis menggunakan teori struktural, teori feminisme, dan teori kelamin dan gender untuk mengetahui adanya persoalan dan perlawanan terhadap norma budaya patriarkat secara lebih lanjut. Metode yang digunakan dalam penyajian hasil analisis ini yakni metode deskriptif analisis, memaparkan hasil dari penelitian dan mendeskripsikan struktur novel serta ketimpangan-ketimpangan gender dengan perlawanan-perlawanan yang dilakukan untuk melawan adanya budaya patriarkat. Analisis srtruktural novel Nayla, yakni alur dan pengaluran, tokoh dan penokohan, latar, tema, dan amanat. Alur dan pengaluran yang pengarang gunakan yakni, alur tunggal adalah pengarang hanya berpusat pada satu tokoh yakni Nayla, dan pengaluran flashback digunakan untuk memaparkan cerita dari masa lalu, masa sekarang, dan kembali ke masa lalu. Tokoh utama dalam novel, yakni Nayla, tokoh yang melakukan perlawanan terhadap budaya patriarkat, sedangkan tokoh tambahannya adalah Ibu, Juli, Ayah, Mbak Ratu, Olin, Lidya, Shanty, Nathalia, Ben, dan Om Indra. Latar digunakan untuk menjelaskan terjadinya peristiwa-peristiwa yang ada dalam novel. Latar yang digunakan yakni, latar tempat, latar waktu, dan latar sosial. Tema dibagi menjadi dua, tema utama yakni kebebasan, tema kedua yakni adanya perlawanan terhadap ketidakadilan gender yang berdampak pada munculnya budaya patriarkat, karena adanya ketidakadilan kelamin dan gender. Adapun amanat yang ingin disampaikan pengarang, yakni adanya perjuangan seorang anak untuk memerdekakan dirinya dan melawan budaya patriarkat yang terjadi pada dirinya. Kata kunci: perlawanan, feminisme, dan ketidakadilan kelamin dan gender.
Aplicación intracoronaria de levosimendán en la prueba de fracción de flujo de reserva coronaria (Simdax)

Introducción: El estudio hemodinámico de una estenosis coronaria de severidad intermedia mediante la prueba de fracción de flujo de reserva (FFR) coronaria es fundamental en términos de eventos cardiovasculares principales a corto y largo plazo. Actualmente, no se ha publicado en este contexto la aplicación intracoronaria de levosimendán. Objetivos: Determinar los efectos hemodinámicos de la administración intracoronaria de levosimendán como vasodilatador en la prueba FFR, comparado contra adenosina intracoronaria. Material y métodos: Se estudiaron mediante FFR 48 lesiones intermedias en las coronarias epicárdicas principales. Resultados: De las 48 lesiones valoradas con FFR en relación con la aplicación de adenosina versus levosimendán intracoronarios, el porcentaje de estenosis coronaria fue del 55.83 (± 11.64), FFR adenosina intracoronaria 0.8633 (± 0.1130) y FFR levosimendán intracoronario 0.8652 (± 0.1090); coeficiente de correlación 0.9859 y correlación cuadrática 0.9720. Demostrando que la inducción de vasodilatación es semejante, incluyendo casos positivos para revascularización con relación FFR < 0.80. Conclusiones: El levosimendán intracoronario en la prueba FFR presentó semejanza en la valoración de las estenosis coronarias intermedias, comparado con adenosina intracoronaria. El levosimendán representa una alternativa favorable en la inducción de hiperemia coronaria, para normar decisiones de revascularización mediante asistencia fisiológica.
Materialising the Studio. A systematic review of the role of the material space of the studio in Art, Design and Architecture Education

In art, design and architecture education, the ideal of learning together is intimately bound up with the notion of the studio as a space where students learn alongside (or under the guidance of) an ‘expert’ tutor (Schon 1987). This is a cherished and central tenet of art, design and architecture education, and a large body of research literature has developed exploring the various dimensions of students and tutors learning together in the studio. However, in an era of managerialism and the massification of higher education, the status of the art, design and architecture studio is increasingly precarious. And although the literature on studio-based pedagogy continues to grow, little directly addresses the role of material space and its contribution to learning. There is, then, a need to articulate the role of the material space of the studio in art, design and architecture education. To address this, a systematic review of the literature was undertaken to identify the major discussions of material space in studio-based education. The process identified 38 peer-reviewed empirical studies of the art, design or architecture educational studio where at least some attention to the material space formed part of the study. A grounded theory analysis of the 38 studies identified six major themes on the role of the material space of the studio in education. The goal of this study is to enrich our understanding of learning in art, design and architecture by examining the contribution of the material space of the studio to educational processes. In particular, by looking at the how the material space of the studio is discussed and conceptualised in the literature on art, design and architecture education. This study extends the idea of ‘learning together’. Moving beyond the ‘heroics’ and flesh and blood of ‘expert’ tutors and students. It considers how the studio itself is part of the process of learning together.
How To Speak of Nature? The Exemplary Position of Mount Koli in Environmental Research

Mount Koli in Eastern Finland is a useful example for environmental aesthetics and landscape research. In case studies, an example represents a general set and the conclusion becomes a precedent. Koli provides a wealth of material: descriptions of local nature, art featuring Koli, and documents concerning the environmental debates around it. One can outline both the development of Koli into a culturally significant location and the activities and policies of the process, as well as the values and appreciations that guided them. The material we have can be used to examine an environmental institution designed to have the structure of an artistic one. In both, a chain is present connecting an author via interpreters to a person who experiences. This cognitive model needs to be clarified by using practical situations as examples. Again, the question is one of preparing for the future as well as researching past events and the practices involved.
Development and Validity of a Questionnaire on Dyslipidemia Dietary Knowledge

Objective Dyslipidemia is one of the most important modifiable risk factors for cardiovascular disease. Diet and lifestyle interventions positively contribute to the management of dyslipidemia. Adequate knowledge of the correct diet for dyslipidemia is an effective preventive strategy against cardiovascular disease. Method This study developed a questionnaire to test dyslipidemia dietary knowledge. The initial, multiple-choice dyslipidemia dietary knowledge questionnaire (DDKQ) was formed based on a literature review of previous studies. Two Delphi rounds were performed to ensure content validity and face validity, items were pretested and filtered through item analysis, and the reliability and validity of the final questionnaire were checked. Results The DDKQ consisted of 5 parts, with 25 items in total. It demonstrated adequate content validity (0.94), face validity, internal consistency (KR20 = 0.67), and test-retest reliability (0.74). The mean item difficulty (P) was 0.55 and ranged from 0.15 to 0.83, and the mean item discrimination index (D) was 0.36, ranging from 0.21 to 0.58. The questionnaire was also able to distinguish between participants with/without a medical background; medical workers produced significantly higher total scores (16.70±2.84 vs. 14.57±4.26, p< 0.05). Conclusion The DDKQ is a reliable and valid measure of dyslipidemia dietary knowledge. It is suitable for providing scientific assessments for targeted health education interventions.
Interfacing design and making of Ceramics: Expansion of ceramics practice through technology

The experiment in question is about the relationship between crafting materiality and digital representation, and how experiential knowledge of crafts rooted in ceramics can be transformed and utilized in the use of digital technologies. It is the direct physical and tactile interaction with a responding material that guides the ceramicist (Leach 1940, Dormer 1994). Thus the experiment explores how the involvement of the body is being exploited in the use of digital technology.