cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Prompted LLMs as Chatbot Modules for Long Open-domain Conversation
Creators: name: Lee, Gibbeum
name: Hartmann, Volker
name: Park, Jongho
name: Papailiopoulos, Dimitris
name: Lee, Kangwook
Publisher: name: arXiv
Year: 2023
Subjects: subject: Computation and Language (cs.CL)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (cs.LG)
subject: FOS: Computer and information sciences

description: In this paper, we propose MPC (Modular Prompted Chatbot), a new approach for creating high-quality conversational agents without the need for fine-tuning. Our method utilizes pre-trained large language models (LLMs) as individual modules for long-term consistency and flexibility, by using techniques such as few-shot prompting, chain-of-thought (CoT), and external memory. Our human evaluation results show that MPC is on par with fine-tuned chatbot models in open-domain conversations, making it an effective solution for creating consistent and engaging chatbots.
description: Accepted to the Findings of ACL2023. The camera-ready version with additional experimental results will be uploaded
Sensor-aligned coverage planning for mobile robots in complex 3D environments
Creators: name: Navarro, Alex Joseph
name: 0009-0004-7098-7960
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Robotics
Mobile robot
Coverage planning
Radiation detection
Navigation
3D navigation
ROS
CUDA

description: Efficient and effective monitoring of radiation levels is crucial for the long-term maintenance of nuclear facilities and the safety of nuclear workers. Unlike gamma and beta radiation, which are detectable some distance from the radiation source, alpha radiation detection requires that the source be less than a centimeter from the sensor to provide consistent readings. Despite its small range, alpha radiation is deadly if ingested or inhaled making accurate surveys critical for worker safety. Detection is typically performed manually by dedicated workers, a long and inefficient process given the sensing requirements. Mobile robotics provides a promising alternative to this process, capable of providing services which augment and accelerate the process alongside human workers. This thesis presents a robot agnostic framework for a wheeled mobile robot equipped with a large alpha detector to autonomously generate complete coverage plans of a facility floor, the largest surface of interest in routine surveys. In the generation of this plan, it accounts for the full 3D geometry of the robot and the environment by subdividing the robot model into cylindrical portions which are compared against the incoming sensor data. This collision detection method is used to subdivide each grid cell in the workspace into a set of valid poses centered around the radiation sensor. These are then connected to adjacent poses to form a graph in which each node is a valid robot state. By applying existing coverage planning algorithms to this graph, complete coverage of the workspace is achieved. Tests showed successful planning in simulated and real life test environments on two different robot models, indicating that this model is applicable to the alpha radiation survey problem.
title: Гендерные аспекты экономического поведения
Creators: name: ELS IPR BOOKS
Publisher: name: Ай Пи Ар Медиа
Year: 2021

description: В учебном пособии рассмотрена специфика гендера и гендерных исследований, описана гендерная стратификация. Проанализированы проблемы дискриминации по признаку пола в сфере занятости, изложены аспекты гендерных различий на уровне материального благосостояния. Особое внимание уделено гендерным последствиям глобализации и гендерной политике. Учебное пособие предназначено для студентов, обучающихся по направлению подготовки 39.03.01 «Социология», изучающих дисциплину «Гендерные аспекты экономического поведения», а также будет полезно преподавателям и всем, кто желает повысить свой образовательный и культурный уровень.
Parallel Inference on Structured Data with CRFs on GPUs
Creators: name: Morik, Katharina
name: Piatkowski, Nico
Publisher: name: Technische Universität Dortmund
Year: 2012
Subjects: subject: 004

description: Structured real world data can be represented with graphs whose structure encodes independence assumptions within the data. Due to statistical advantages over generative graphical models, Conditional Random Fields (CRFs) are used in a wide range of classification tasks on structured data sets. CRFs can be learned from both, fully or partially supervised data, and may be used to infer fully unlabeled or partially labelled data. However, performing inference in CRFs with an arbitrary graphical structure on a large amount of data is computational expensive and nearly intractable on a reseacher's workstation. Hence, we take advantage of recent developments in computer hardware, namely general- purpose Graphics Processing Units (GPUs). We not merely run given algorithms on GPUs, but present a novel framework of parallel algorithms at several levels for training general CRFs on very large data sets. We evaluate their performance in terms of runtime and F1-Score.
The effects of priming on creativity: a systematic review and a meta-analysis
Creators: name: Wronska, Marta
name: Winter, Kevin
name: Nijstad, Bernard
name: Rietzschel, Eric
name: Sassenberg, Kai
name: Baas, Matthijs
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology
subject: creativity
subject: divergent thinking
subject: insight
subject: meta-analysis
subject: priming
subject: remote associates test
subject: systematic review

description: Systematic review and a meta-analysis of the effects of priming on creativity: Protocol for data analysis. See attachment for details.
Assessment of the Implementation of Performance Management System in Commercial Bank of Ethiopia Using the Balanced Score Card: the Case of Selected Branches Under West Addis Ababa District
Creators: name: Mijena, Temesgen
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2016

description: This study is concerned with the performance management system in Commercial Bank of Ethiopia with reference to selected branches under West Addis Ababa district. To this end, the study has made an effort to thoroughly assess the implementation status of PMS processes, to identify and investigate achievements and constraints associated with the current PMS tool being used by the bank, the balanced score card (BSC). In doing so, the study was geared towards answering key research questions relevant with performance management system in the bank. The study has used both primary and secondary data sources. The primary data has been collected through structured self administered questionnaire and in-depth interview. The results of the questionnaire were analyzed using SPSS (statistical packages for social science) to get descriptive statistics. Qualitative data collected through in-depth interviews, open ended questions and document review were analyzed and summarized contextually. Frequency table and percentage was used to present the data analyzed.The results of the study have revealed that though the bank has good qualities in defining its strategic objective and other pre- requisites to PMS implementation, the performance management system of the bank in general and the study district in particular needs serious consideration as majority of the processes of PMS have not been well implemented yet. In general, the researcher has recommended that the bank has to involve all employees in performance planning process, create awareness about the concept and advantage of PMS through training, revisit its goal and target setting, develop and utilize automated software for data tracking, ensure provision of ongoing and consistent feedback and coaching to performers, and link performance result with reward and sanction, for better improvement of performance of West Addis Ababa district in particular and CBE"s in general. Key Words: Performance Management, employees, Balanced Score Card, Commercial Bank of Ethiopia, strategic objective, West Addis Ababa district
Naming the Pain in Requirements Engineering: A Design for a Global Family of Surveys and First Results from Germany
Creators: name: Fernández, D. Méndez
name: Wagner, S.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Software Engineering (cs.SE)
subject: FOS: Computer and information sciences

description: For many years, we have observed industry struggling in defining a high quality requirements engineering (RE) and researchers trying to understand industrial expectations and problems. Although we are investigating the discipline with a plethora of empirical studies, they still do not allow for empirical generalisations. To lay an empirical and externally valid foundation about the state of the practice in RE, we aim at a series of open and reproducible surveys that allow us to steer future research in a problem-driven manner. We designed a globally distributed family of surveys in joint collaborations with different researchers and completed the first run in Germany. The instrument is based on a theory in the form of a set of hypotheses inferred from our experiences and available studies. We test each hypothesis in our theory and identify further candidates to extend the theory by correlation and Grounded Theory analysis. In this article, we report on the design of the family of surveys, its underlying theory, and the full results obtained from Germany with participants from 58 companies. The results reveal, for example, a tendency to improve RE via internally defined qualitative methods rather than relying on normative approaches like CMMI. We also discovered various RE problems that are statistically significant in practice. For instance, we could corroborate communication flaws or moving targets as problems in practice. Our results are not yet fully representative but already give first insights into current practices and problems in RE, and they allow us to draw lessons learnt for future replications. Our results obtained from this first run in Germany make us confident that the survey design and instrument are well-suited to be replicated and, thereby, to create a generalisable empirical basis of RE in practice.
Carlos Salzedo and the development of harp in North America : modern timbres, techniques, and new music networks
Creators: name: Pannetier, Gwendoline Laksmi
name: 0000-0001-7362-8382
Publisher: name: The University of Texas at Austin
Year: 2022
Subjects: Harp
20th-century music
21st-century music
Carlos Salzedo
Edgard Varèse
Ultramodernists
Contemporary harp
Extended techniques
Harp repertoire

description: Over the course of the twentieth century, the harp became a more modern instrument; harpist-composer Carlos Salzedo (1885–1961) played an important role in this change. With harp music being lesser known than music of some other instruments, there is limited written information addressing the subject and even less information about newer harp repertoire, harpist-composers and composers who have written for the instrument. When French-born harpist Salzedo immigrated to the United States in the early twentieth century, he sought to promote the harp as a modern instrument while affiliated with ultramodernist composers of the New York music scene including Edgard Varèse, Henry Cowell and Dane Rudhyar. Salzedo was the first harp pedagogue to fully explore new technical and timbral possibilities of the harp: he focused on a less traditional way of composing for the harp and published new method books including his extended techniques and compositions along with his student, Lucile Lawrence. Salzedo’s ideas aligned with those of his social and artistic circle in the U.S.. He participated in the creation of new organizations such as the International Composers’ Guild with Varèse to focus on promoting international new works to audiences; and the National Association of Harpists to gather harpists from all around the country and its official journal, Eolian Review, disseminating articles regarding the harp and modern music. Salzedo was also highly involved in pedagogy by establishing high-school programs, higher education harp studios and a summer program. With these significant engagements, Salzedo created a vast community and network of students and influenced audiences, composers, and other harpists. This treatise describes Salzedo’s compositional characteristics, innovations, community building, and how these components inspired composers and performers to continue this growth of making the harp modern. In my contribution to promoting new works for harp, I have compiled works by composers from or based in the U.S. and Canada of the twentieth and twenty-first centuries in a catalog. The goal of this catalog is to give these compositions more visibility to harpists and non-harpists. Without doubt, musical works are still to be added in the future as these lists are not exhaustive.
Entwicklung eines Prozessmodells der Interpretation technischer Zeichnungen
Creators: name: Hahne, Markus
Publisher: name: Technische Universität Dortmund
Year: 2012
Subjects: subject: Interpretationsheuristik
subject: Lesen, Interpretieren und Verstehen technischer Zeichnungen
subject: Prozessmodell der Zeichnungsinterpretation
subject: Technische Kommunikation
subject: Technische Zeichnung
subject: Zeichnungsinterpretation
subject: Zeichnungslesen
subject: 620
subject: 670

description: Technical drawings are for the manufacturing industry indispensable to generate, storage and distribution of product data. Because of their analogy figurative form of presentation, it is still not succeeded in the implicit data presented by information capture and processes them. In the present work, a model is developed, which describes the basic principles by which implicitly assembly drawings presented in product data from the explicitly presented data can be derived. The model is based on an object and process analysis, in particular the conceptual confusion and eliminate ambiguities. The verification of the model is based on the Eye-Mind-Hypotheses using an Eye-Tracking examination and a specially developed appraises algorithms. The practical usefulness of the developed process model of subscription inter-pretation is that this is the basis for the formulation of the problem heuristics can serve the perspectives from which to propose drawing information to assess.
description: Technische Zeichnungen sind für die produzierende Industrie unerlässliche Medien zur Generierung, Speicherung und Distribution von Produktdaten. Aufgrund ihrer analog-bildlichen Präsentationsform ist es bis heute nicht gelungen, die implizit präsentierten Daten informationstechnisch erfassen und verarbeiten zu können. In der vorliegenden Arbeit wird ein Modell entwickelt, welches die grundlegenden Prinzipien beschreibt, nach denen implizit in Baugruppenzeichnungen präsentierte Produktdaten aus den explizit präsentierten Daten abgeleitet werden können. Das Modell wird auf der Basis einer Objekt- und einer Prozessanalyse entwickelt, welche insbesondere begriffliche Unklarheiten und Mehrdeutig-keiten eliminieren. Die Verifikation des Modells erfolgt auf der Grundlage der Eye-Mind-Hypothese mittels einer Eye-Tracking-Untersuchung und einem eigens hierfür entwickelten Auswertalgorithmus. Der praktische Nutzen des entwickelten Prozessmodells der Zeichnungsinterpretation besteht darin, dass dieses als Grundlage zur Formulierung von problemspezifischen Heuristiken dienen kann, welche Perspektiven vorschlagen, aus denen die Zeichnungsinformationen zu bewerten sind.
Wood engraving : a personal perspective (after Blake and Bewick)
Creators: name: Jones, Tim.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
On unitarity in singlet inflation with a non-minimal coupling to gravity
Creators: name: Lebedev, Oleg
name: Mambrini, Yann
name: Yoon, Jong-Hyun
Publisher: name: arXiv
Year: 2023
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: We study inflationary models based on a non-minimal coupling of a singlet scalar to gravity, focussing on the preheating dynamics and the unitarity issues in this regime. If the scalar does not have significant couplings to other fields, particle production after inflation is far less efficient than that in Higgs inflation. As a result, unitarity violation at large non-minimal couplings requires a different treatment. We find that collective effects in inflaton scattering processes during preheating make an important impact on the unitarity constraint. Within effective field theory, the consequent upper bound on the non-minimal coupling is of order a few hundreds.
description: 16 pages, 7 figures
L'intelligenza artificiale  nel sistema di  comando, controllo e  comunicazione  nucleare
Creators: name: Saltini, Alice
Publisher: name: Zenodo
Year: 2024

description: "L’intelligenza artificiale nel sistema di comando, controllo e comunicazione nucleare":L'Intelligenza Artificiale viene progressivamente impiegata nella gestione delle armi, a talpunto che gli stati dotati di armi nucleari stanno valutando di integrare questa tecnologia neiloro sistemi NC3 (comando, controllo e comunicazioni nucleari), che sono alla base deiprocessi decisionali in ambito nucleare. Questa presentazione approfondirà comel'intelligenza artificiale possa venire impiegata nei sistemi NC3 e ne esaminerà i rischiassociati.
Neuroscience of wisdom/wise advising
Creators: name: Hu, Chao
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences

description: Previous fMRI research has demonstrated that wiser advising was associated with greater amplitude of low-frequency fluctuation (ALFF) in DLPFC, ACC, and precuneus during rests (Zheng et al., In press). This experiment will further investigate the neural basis for wise advising, especially the neural oscillations for thinking processes before wise advising.
A detailed framework to incorporate dust in hydrodynamical simulations
Creators: name: Grassi, T.
name: Bovino, S.
name: Haugboelle, T.
name: Schleicher, D. R. G.
Publisher: name: arXiv
Year: 2016
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: Dust plays a key role in the evolution of the ISM and its correct modelling in numerical simulations is therefore fundamental. We present a new and self-consistent model that treats grain thermal coupling with the gas, radiation balance, and surface chemistry for molecular hydrogen. This method can be applied to any dust distribution with an arbitrary number of grain types without affecting the overall computational cost. In this paper we describe in detail the physics and the algorithm behind our approach, and in order to test the methodology, we present some examples of astrophysical interest, namely (i) a one-zone collapse with complete gas chemistry and thermochemical processes, (ii) a 3D model of a low-metallicity collapse of a minihalo starting from cosmological initial conditions, and (iii) a turbulent molecular cloud with H-C-O chemistry (277 reactions), together with self-consistent cooling and heating solved on the fly. Although these examples employ the publicly available code KROME, our approach can be easily integrated into any computational framework.
description: 17 pages, 12 figures, MNRAS accepted
Determinanten der Kartellstabilität – eine theoretische und empirische Analyse
Creators: name: Giesen, Stefan
Publisher: name: Technische Universität Dortmund
Year: 2012
Subjects: subject: Competing risks
subject: Europäisches Kronzeugenprogramm
subject: Kartellaußenseiter
subject: Kartellstabilität
subject: Konjunkturzyklus
subject: Stackelberg-Modell
subject: 330

description: Ziel dieser Dissertation ist es, theoretisch und empirisch ein klareres Bild über die Ausgestaltung illegaler Kartellvereinbarungen zu geben und dabei vier relevante Forschungsfragen zu beantworten. • Welche Strategien können die Kartellaußenseiter verfolgen, wenn das Kartell nicht alle Marktteilnehmer umschließt? • Einige Kartelle sind erfolgreicher und langlebiger als andere. Welchen Einfluss hat die interne Organisation eines Kartells auf dessen Dauer? • Wann zerbrechen Kartellvereinbarungen, im Boom oder in der Rezession? • Wie effektiv ist das europäische Kronzeugenprogramm hinsichtlich der Destabilisierung von Kartellabsprachen? D`Aspremont et al. (1983) zeigen in ihrer Arbeit, dass neben dem Kartell noch Außenseiter, sogenannte Fringe, am Markt agieren können, ohne dass ein Kartell daran zerbricht. In der Dissertation wird nun überprüft, welche Auswirkungen ein möglicher Zusammenschluss der Außenseiter auf die Kartellstabilität hat. Es zeigt sich, dass sich zwei Kartelle auf demselben Markt bilden können und sich dabei gegenseitig stabilisieren. Einzige Bedingung dafür ist, dass das zuerst gebildete Kartell weiterhin als Marktführer agiert und sich das Folgerkartell ausschließlich aus den zwei verbliebenen Außenseitern zusammensetzt. Basierend auf einem Datensatz aller zwischen 1980 und 2008 durch die Europäische Kommission verurteilten Kartelle wird im Gegensatz zu früheren empirischen Untersuchungen zum ersten Mal zwischen dem Risiko, von der Wettbewerbsbehörde entdeckt zu werden und dem Risiko einer Selbstauflösung der illegalen Vereinbarung unterschieden. Dabei zeigt sich, dass sich illegale Vereinbarungen besser durchsetzen lassen, wenn sich die Kartellmitglieder umfangreich überwachen und bei Quotenüberschreitungen entschädigen. Diese beiden Mechanismen helfen demnach dabei, die unterschiedlichen Interessen der Mitglieder anzugleichen. Im Gegensatz dazu weisen kulturelle Unterschiede große destabilisierende Effekte auf.
Accurate, Empirical Radii and Masses of Planets and their Host Stars with Gaia Parallaxes
Creators: name: Stassun, Keivan G.
name: Collins, Karen A.
name: Gaudi, B. Scott
Publisher: name: arXiv
Year: 2016
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We present empirical measurements of the radii of 116 stars that host transiting planets. These radii are determined using only direct observables-the bolometric flux at Earth, the effective temperature, and the parallax provided by the Gaia first data release-and thus are virtually model independent, extinction being the only free parameter. We also determine each star's mass using our newly determined radius and the stellar density, itself a virtually model independent quantity from previously published transit analyses. These stellar radii and masses are in turn used to redetermine the transiting planet radii and masses, again using only direct observables. The median uncertainties on the stellar radii and masses are ~8% and ~30%, respectively, and the resulting uncertainties on the planet radii and masses are ~9% and ~22%, respectively. These accuracies are generally larger than previously published model-dependent precisions of ~5% and ~6% on the planet radii and masses, respectively, but the newly determined values are purely empirical. We additionally report radii for 242 stars hosting radial-velocity (non-transiting) planets, with median achieved accuracy of ~2%. Using our empirical stellar masses we verify that the majority of putative "retired A stars" in the sample are indeed more massive than ~1.2 Msun. Most importantly, the bolometric fluxes and angular radii reported here for a total of 498 planet host stars-with median accuracies of 1.7% and 1.8%, respectively-serve as a fundamental dataset to permit the re-determination of transiting planet radii and masses with the Gaia second data release to ~3% and ~5% accuracy, better than currently published precisions, and determined in an entirely empirical fashion.
description: Accepted by AAS Journals. Update includes full discussion of the value of a purely empirical approach, and an assessment of the veracity of the putative "retired A stars" in the sample. 146 pages, ~500 figures, 7 tables
Overcoming challenges of solid dosage formulation development by using emerging technologies
Creators: name: Jiang, Junhuang
name: 0000-0002-1772-8482
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Solid dosage forms
Dry powder for inhalation
Amorphous solid dispersion
Artificial intelligence
Machine learning

description: Solid dosage forms, such as tablets, capsules, and powder, are one of the most widely used administration methods for drug delivery. However, scientists and researchers are facing various challenges when developing them. During the formulation development process, critical quality attributes (CQAs) of a drug product must be carefully controlled, and they are typically influenced by critical material attributes (CMAs) and critical processing parameters (CPPs). A conventional development pathway for solid dosage forms utilizes a trial-and-error approach, which requires a large amount of time and a laborious workload. Several emerging technologies, including Artificial Intelligence (AI) and 3D printing, have been extensively applied to develop solid dosage forms. As a subfield of AI, machine learning has gained more attention in pharmaceutical industries and exhibits numerous benefits to overcome the challenges during formulation development. In Chapter 1, the applications of different machine learning techniques in solid dosage forms were reviewed, which provides general guidance to formulation scientists. In Chapter 2, we investigated the applications of machine learning to design inhaled dry powder prepared by thin-film-freezing (TFF) technology. Aerosol performance, which can be indicated by fine particle fraction and mass median aerodynamic diameter, is one of the most important factors when developing inhaled dry powder. In this chapter, we first obtained a tabular dataset containing formulation information and processing condition, and scanning electron microscopy (SEM) images by literature mining and in-house experiments. Then, we applied multiple machine learning algorithms to predict aerosol performance. Poor water solubility is another critical challenge for drugs in development pipelines and commercial products, and it may lead to low absorption and bioavailability. Amorphization is a intermolecular modification method to convert crystalline drug substances into amorphous states. In Chapter 3, we developed a machine learning-based method to predict the glass forming ability of pharmaceutical compounds, which may potentially facilitate the in-silico screening process of amorphous drugs. In addition, hot-melt extrusion (HME) is one of the most widely used methods to prepare amorphous solid dispersions (ASDs), but the energy input, including thermal energy and specific mechanical energy, needs to be carefully controlled to prevent residual crystallinity and chemical degradation. In Chapter 4, we investigated the feasibility of predicting the forming of chemically stable ASDs by using machine learning modeling. Moreover, the trained models achieved high accuracies and relatively good interpretability.
A latent profile analysis of couples’ childhood maltreatment profiles and trajectories of sexual wellbeing
Creators: name: Sexual Health Laboratory (Laboratoire D’étude De La Santé Sexuelle)
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology

description: The current study aims to investigate dyadic child maltreatment profiles and their associations with both partners’ sexual wellbeing (i.e., sexual satisfaction, distress, and function) trajectories over one year, using four longitudinal samples of community couples.
Syrup Clarification Using Flotation System with Optimized Dosages of Phosphate and Cationic Flocculant
Creators: name: Kuma, Nacho
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: Syrup is a clarified juice evaporated to approximately 65% dry solids in a stepwise evaporation process. This concentrated syrup is needed to clarify further before the final fractionation. All Ethiopian sugar factories are designed for the production of plantation white sugar (PWS) by double sulphitation system which is the main source of an increased residual sulphur dioxide in the final product. There is a significant interest in many sugar producing countries towards producing a higher quality plantation white sugar with lower color and lower residual sulphur dioxide content. A sugar with a lower color and lower residual sulphur dioxide values is achieved by replacing the syrup sulfitation process with syrup phosphatation and flocculation. The study was conducted to optimize the syrup clarification as the result of the effect of Talodura and Phosphate on reducing color, turbidity and viscosity using flotation system and there by modifying or reducing the sulfate content in the sugar. This increased sulfate is due to syrup double salfitation during syrup clarification at Wonji Sugar Factory. Since degree of clarification is dependent on the dose of Phosphate and Talodura flocculant, optimization of the doses was carried out against color, turbidity and reduction of viscosity. Design Expert 7 and JMP13 software were used to determine the common optimum doses. The range of levels of the P 2 O 5 used was 117.8 - 680 mg/L, and that of the Talodura was 7.2 - 12.8 mg/L. The optimum levels, 668 mg/L of P 2 O 5 and 12 mg/L of Talodura gave color and turbidity values of 9772 and 4669 ICUMSA respectively and a viscosity reduction of 39 %. Practicing the above optimum conditions at Wonji Sugar Factory could increase productivity and sugar quality.
Multiple quantum NMR excitation with a one-quantum Hamiltonian
Creators: name: Suter, Dieter
name: Liu, S. B.
name: Pines, A.
Publisher: name: Elsevier
Year: 2001
Subjects: subject: 530

description: Excitation of multiple quantum coherence in dipolar coupled spin systems is usually accomplished with a two-quantum multiple pulse sequence which can be time reversed by means of a 90° phase shift. The application of such an excitation scheme to a spin system in thermal equilibrium excites only even orders of multiple quantum coherence. We demonstrate here time reversible pulse sequences that excite all orders of coherence by creating a pure one-quantum average hamiltonian. We also describe pulse schemes which can be used to create pure one- or two-quantum average hamiltonians with variable scaling between +1 and −1. These excitation schemes are relevant to the study of spin clustering by multiple quantum NMR.
Clinical and psychosocial predictors of post-event processing in adults who stutter
Creators: name: Croft, Robyn Lindsey
name: 0000-0003-4844-0753
Publisher: name: The University of Texas at Austin
Year: 2023
Subjects: Stuttering
Post-event processing
Clinical
Psychosocial
Self-compassion

description: Despite the neurophysiological and genetic underpinnings of stuttering, there is a pervasive assumption that stuttering is the result of being nervous, anxious, or unintelligent. This misconception yields detrimental quality-of-life consequences, with many persons who stutter experiencing interactions in which they are ridiculed, discriminated against, and stigmatized. After repeated exposure to negative exchanges, individuals may develop self-deprecating behaviors, such as post-event processing. Post-event processing, defined by self-critical rumination following a stressful communication event, is significantly associated with depression, isolation, and reduced quality of life. However, despite its relevance to the stuttering experience, to date, only a few studies have investigated post-event processing among adults who stutter, and no study has identified clinical and psychosocial predictors of post-event processing. The purpose of this study was to determine the contributions of clinical markers of stuttering and psychosocial variables to post-event processing through three specific aims. Aim 1 identified the influence of clinical markers, including the experience of stuttering, self-rated stuttering severity, and observer-rated stuttering severity on post-event processing. Aim 2 determined the influence of psychosocial factors, including self-perceived performance, self-esteem, and social anxiety on post-event processing over and above clinical markers. Aim 3 evaluated the influence of trait and state self-compassion on post-event processing over and above clinical and psychosocial factors. To achieve these aims, adults who stutter (N = 96) participated in two, virtual sessions. After completing a standardized social stress task in Session 1, participants completed measures of post-event processing, clinical markers of stuttering, and psychosocial characteristics in Session 2. Hierarchical linear regression was used to identify clinical and psychosocial predictors of post-event processing. Results indicated that a more negative experience of stuttering, higher self-rated stuttering severity, and greater social anxiety predicted more post-event processing. Greater self-perceived performance and state self-compassion predicted less rumination. Observer-rated severity, self-esteem, and trait self-compassion were not significantly associated with post-event processing behavior. Taken together, findings provide a starting point for formulating a clinical and psychosocial profile that can be used to assess and mitigate post-event processing behavior in adults who stutter and bolster resiliency to social stress. Empirical, clinical, and quality-of-life implications are discussed.
Improved ranking statistics of the GstLAL inspiral search for compact binary coalescences
Creators: name: Tsukada, Leo
name: Joshi, Prathamesh
name: Adhicary, Shomik
name: George, Richard
name: Guimaraes, Andre
name: Hanna, Chad
name: Magee, Ryan
name: Zimmerman, Aaron
name: Baral, Pratyusava
name: Baylor, Amanda
name: Cannon, Kipp
name: Caudill, Sarah
name: Cousins, Bryce
name: Creighton, Jolien D. E.
name: Ewing, Becca
name: Fong, Heather
name: Godwin, Patrick
name: Harada, Reiko
name: Huang, Yun-Jing
name: Huxford, Rachael
name: Kennington, James
name: Kuwahara, Soichiro
name: Li, Alvin K. Y.
name: Meacher, Duncan
name: Messick, Cody
name: Morisaki, Soichiro
name: Mukherjee, Debnandini
name: Niu, Wanting
name: Pace, Alex
name: Posnansky, Cort
name: Ray, Anarya
name: Sachdev, Surabhi
name: Sakon, Shio
name: Singh, Divya
name: Tapia, Ron
name: Tsutsui, Takuya
name: Ueno, Koh
name: Viets, Aaron
name: Wade, Leslie
name: Wade, Madeline
Publisher: name: arXiv
Year: 2023
Subjects: subject: Instrumentation and Methods for Astrophysics (astro-ph.IM)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: Starting from May 2023, the LIGO Scientific, Virgo and KAGRA Collaboration is planning to conduct the fourth observing run with improved detector sensitivities and an expanded detector network including KAGRA. Accordingly, it is vital to optimize the detection algorithm of low-latency search pipelines, increasing their sensitivities to gravitational waves from compact binary coalescences. In this work, we discuss several new features developed for ranking statistics of GstLAL-based inspiral pipeline, which mainly consist of: the signal contamination removal, the bank-$ξ^2$ incorporation, the upgraded $ρ-ξ^2$ signal model and the integration of KAGRA. An injection study demonstrates that these new features improve the pipeline's sensitivity by approximately 15% to 20%, paving the way to further multi-messenger observations during the upcoming observing run.
description: 13pages, 6figures
Influence of the instruction of a processing strategy on the self-structured behavior in an applied voluntary task switching paradigm
Creators: name: Wehner, Peggy
name: Herbers, Judith
name: Pannasch, Sebastian
name: Scherbaum, Stefan
name: Surrey, Caroline
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Applied Behavior Analysis
subject: Cognitive Psychology
subject: Social and Behavioral Sciences
subject: Psychology
subject: FOS: Psychology

description: Handling everyday life requires humans to process countless relevant and also irrelevant stimuli. The ability to handle this challenge is often investigated using task switching paradigms. Due to the highly structured nature and the strong determinacy of the participants’ behavior in such a paradigm, the various strategies participants use in the real environment to process the large mass of stimuli can hardly be detected and analyzed. In order to overcome this problem, we have developed an applied voluntary task switching paradigm that more closely reflects the requirements of the real environment. In our first pre-registered (osf.io/yrkfx), the results showed that participants used different self-selected processing strategies in a stable manner over the course of the experiment. Moreover, despite the possibility to use own strategies, typical effects of task switching are evident in our results. In our second pre-registered study (osf.io/n3tgv), we aimed to examine how the participant’s behavior in this paradigm changes if we explicitly tell them the strategy to use in the first two images. We were interested in the impact of this manipulation on the participants’ performance and on their strategy choice during the processing of all images in which they could freely choose their strategy. The results obtained were unexpected. About two-thirds of the participants used the strategy instructed even in the images in which they could freely choose their strategy but about one-third did not consider our strategy instruction. In our current study, we thus would like to examine the influence of an instruction again and to narrow down the reasons for non-compliance to a strategy instruction.
ESTABLISHMENT OF COMMUNITY-BASED FARM ENTERPRISE: AN INTERVENTION ON COVID-19 CHALLENGES IN BUKIDNON, PHILIPPINES
Creators: name: Seybold Report Journal
Publisher: name: Seybold Report Journal
Year: 2024

description: Abstract

The challenges of the COVID-19 pandemic, particularly food security, pushed higher educational institutions to respond to the community's needs. Central Mindanao University (CMU) in the Philippines established community-based agricultural enterprises. Such an enterprise is innovative since it facilitates collaboration between CMU, Northern Mindanao Consortium for Agriculture, Aquatic and Natural Resources Research and Development (NOMCAARRD), and other stakeholders. This project aimed to establish farm enterprises using a community-based participatory approach. The project was implemented among one elementary school, one integrated school, and four People’s Organizations in Bukidnon, Philippines. The project was implemented through the transfer of technologies to the beneficiaries. These technologies include mushroom production, pinakbet vegetable production, and vermicompost production. Market linkages, farm on-site and off-site consultation, farm capability building, training, partnerships with Local Government Units and private companies, and the provision of farm inputs and materials fueled the implementation. Aside from addressing Sustainable Development Goals, the project was seen as a catalyst to capacitate the community for food security and alternative sources of income. The beneficiaries could produce vegetables, mushrooms, and vermicompost and share them with their organization.   For school beneficiaries, implementing the project is also deemed to encourage more students to engage in agricultural entrepreneurship in response to the declining enrollment trend in agriculture-related courses in the state universities and colleges in the Philippines.

Keywords: Community-based enterprise, market linkage, Covid-19.
Measuring attention to irrelevant stimuli in contextual cueing of visual search - Experiment 3
Creators: name: Vadillo, Miguel
name: Aivar, M Pilar
name: Giménez-Fernández, Tamara
name: Vicente-Conesa, Francisco
name: Hernández-Gutiérrez, David
Publisher: name: Open Science Framework
Year: 2022
Subjects: subject: Social and Behavioral Sciences
subject: contextual cueing
subject: implicit learning
subject: selective attention

description: Several experiments conducted with the contextual cueing paradigm manipulate selective attention by asking participants to pay attention to stimuli presented in just one colour. In the present study we put to the test the hypothesis that participants might still be paying a residual amount of attention to stimuli presented in the "irrelevant" colour. This has important implications for the interpretation of previous results concluding that selective attention might not be necessary for contextual cuing.
The quiet revolution : men in the wake of feminism
Creators: name: Eiseman, Jon.
Publisher: name: Monash University
Year: 2022

description: This thesis was scanned from the print manuscript for digital preservation and is copyright the author.
 Researchers can access this thesis by asking their local university, institution or public library to
 make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
Sophisticated application of pharmacogenomics in personalised medicine
Creators: name: MOUSTAFA, SALEM
Publisher: name: Monash University
Year: 2023
Subjects: classificationCode: 321406
subject: Pharmacogenomics
subject: FOS: Medical biotechnology
classificationCode: 460207
subject: Modelling and simulation

description: This thesis described for the first time the prevalence of key genetic variants and gene-drug interactions known to influence medication response in the Australian population. Sophisticated modelling software was then used to build “virtual twins” of real patients using their genetic, environmental and demographic data to pre-emptively predict therapeutic starting doses of clozapine, an important antipsychotic drug. A model which reasonably predicts therapeutic clozapine starting doses was then developed and validated in Australia and Canada. This model informed precision dosing approach has the potential to offer dosage guidance for other medications and advance the implementation of personalised medicine.
Space-time vortex driven crossover and vortex turbulence phase transition in one-dimensional driven open condensates
Creators: name: He, Liang
name: Sieberer, Lukas M.
name: Diehl, Sebastian
Publisher: name: arXiv
Year: 2016
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: Quantum Gases (cond-mat.quant-gas)
subject: FOS: Physical sciences

description: We find a first order transition driven by the strength of non-equilibrium conditions of one-dimensional driven open condensates. Associated with this transition is a new stable non-equilibrium phase, space-time vortex turbulence, whose vortex density and quasiparticle distribution show strongly non-thermal behavior. Below the transition, we identify a new time scale associated with noise activated unbound space-time vortices, beyond which the temporal coherence function changes from a Kardar-Parisi-Zhang type subexponential to a disordered exponential decay. Experimental realization of the non-equilibrium vortex turbulent phase is facilitated in driven open condensates with a large diffusion rate.
description: 5+5 pages, 3+3 figures
Evaluating Distance Education Service Quality Satisfaction:The Case of Addis Ababa University, School of Commerce
Creators: name: Mulu, Samrawit
Publisher: name: National Academic Digital Repository of Ethiopia
Year: 2018

description: Main objective of this study was evaluating distance education service quality and student satisfaction the case of Addis Ababa University, school of commerce. Further, this study examines the relationship among service quality dimension and student satisfaction and the dominant service quality dimension that influence student satisfaction in distance program. To attain this objective, questionnaire was designed categorized under five dimensions of the HEdPERF model. The sample consists of 191 respondent selected based on cluster and convenience sampling procedure. This study used also both primary and secondary data. The collected data was analyzed with the help of SPSS version 20.Correlation and multiple regressions were used to investigate the relationship between dependent and independent variables. The correlation results indicate that there is a positive correlation between the dimensions of service quality and student satisfaction. Accordingly from the regression result it is observed that all service quality dimensions (academic aspect, non-academic aspect, reputation, access and program issue) have positive and significant impact on student satisfaction. Furthermore, 93.5 % of the variations in student satisfaction are explained by service quality dimensions in Addis Ababa University School of Commerce. Based on this, in order to improve service quality of the institution, the researcher suggested that, the institution should focus more on non-academic and program issue aspects because in the researcher mentioned variables had the lowest mean score. In addition reputation is the dominant service quality dimension therefore; university management should works on the indicator of this dimension