Miracle-dz/UniFAR-FTUs huggingface dataset:
Promotion of Fungal Growth, Antibacterial and Antioxidative Activities in Tempe Produced with Soybeans Thermally Treated Using Steam Pressure

Tempe is produced by thermally treating soybeans with boiling and subsequent fermentation using Rhizopus oligosporus . In this study, thermal processing by boiling was replaced with steam pressure, and the physicochemical features and biological activities of tempe were examined. Retention of nutrients and the fungal growth rate were higher in soybeans treated by steam pressure than in those treated by boiling. Antibacterial activity against Staphylococcus aureus was found in extracts of soybeans after fermentation, and the activity was higher in tempe processed by steam pressure. Antioxidative activities in extracts of soybeans before and after fermentation were higher using steam pressure than boiling. These results suggested that in tempe processed by steam pressure, the promotion of antibacterial activity was due to the increase in fungal growth, whereas the enhanced antioxidative activities were mainly due to increases in the antioxidative activities in soybeans before fermentation.
Knowledge Acquisition with Transferable and Robust Representation Learning

My research focuses on promoting the advancement of intelligent computational systems with better awareness of commonsense and expert knowledge, which leads to more efficient information exchange of the system with people and the world. My goal, in the long term, is to leverage unified methodologies to help machines understand the relations of lexemes, entities and concepts in human languages as well as the interactions of objects in nature (such as molecules and biomolecules). In the near term, I am motivated by the objective of developing new technologies in representation learning and information extraction, and extending their use in various tasks for knowledge base construction, natural language understanding, computational biology and medicine. The challenges span over a range of fields, from the fundamental questions in the acquisition, representation and inference of knowledge, to systematic paradigms for scalable data management, mining and retrieval. In this decade, AI systems in various application domains are empowered by representation learning technologies for automatically discovering and acquiring relations, patterns and properties of objects from large-scale data. In particular, such technologies involve relational embedding, language modeling and constrained learning. My work seeks to trigger the advancement of these technologies, with focus on knowledge acquisition from data in different modalities, and in scenarios with or without plausible supervision signals. My investigation in these research directions has led to over 30 published papers, and have benefited real-world applications in various computational and interdisciplinary areas. The following of this statement presents parts of my investigation into these directions, followed by some exciting future directions that I am planning to explore.
A Review on Sentiment Analysis Research in Myanmar Language

—Sentiment analysis is an emerging research area and is very important because human beings are largely dependent on the web in these days. A little research on sentiment analysis has been done for Myanmar language in Myanmar. So, this paper aims to review past, present and future of Myanmar sentiment analysis and presents the study of the Myanmar language research on the opinion lexicon creation and sentiment classification. The lexicons are created for four domains and the sentiment classification is done for three domains by using the equations of polarity scores, Support Vector Machine (SVM), Long Short-Term Memory (LSTM) and Naïve Bayes. The objective of this paper is to provide a review of Myanmar language sentiment analysis research papers from well-known journals and conferences between 2017 and 2019.
Building Word-Aligned Bilingual Corpus for Statistical Myanmar-English

In recent years statistical word alignment models have been widely used for various Natural Language Processing (NLP) problems. In this paper we describe our work in constructing an aligned English-Myanmar parallel corpus. Corpora are not available for Myanmar language and our work in developing parallel corpus will also hopefully be very useful in many natural language applications. Word alignment plays a crucial role in statistical machine translation, since word-aligned corpora have been found to be an excellent source of translation-related knowledge. If there were errors in alignment, this will cause subsequence failure NLP processes. The alignments produced when the training on word-aligned data are dramatically better than when training on sentence-aligned data. The main purpose of this system is to provide as part of translation machine in Myanmar-English machine translation. The proposed system is combination of corpus based approach and dictionary lookup approach. The corpus based approach is based on the first three IBM models.
Artículo de investigación FROM MEANING TO SYMPTOM REDUCTION : Contemporary approaches to psychotherapy after traumatic brain injury

Introduction: During the last decades, psychological interventions have become central components of rehabilitation programs for Traumatic Brain Injury (TBI). Nevertheless, due to a wide variability of therapeutic approaches there is little agreement regarding which approach is more suitable, or whether key elements from different psychotherapies should be integrated. This article critically reviews several contemporary approaches that are dominant in the literature. Methods: In order to accomplish such goal, an all-time search on Web of Science and Google Scholar was carried, using TBI and Psychotherapy as key words (n = 72). Results: The main finding of this paper is that theoretical and technical variability among psychotherapies reflects differences in the ‘level of care’ that is targeted: symptom reduction, behavioral problem reduction, quality of life and meaning reconstruction. Four contemporary approaches to psychotherapy [cognitive behavioral, third wave cognitive behavioral, narrative and psychodynamic] are then briefly described, by presenting their main theoretical tenets, the level of care they target, and the existing evidence that supports their efficacy. Finally, the implications of using a ‘levels of care’ perspective when addressing the ‘effectiveness’ debate is considered, as well as the need to familiarize future clinicians with more integrative models of psychological support after TBI.
Terahertz Remote Gas Sensing System

band between 200 GHz and 500 GHz, developed for detecting toxic gases at the scene of a fire. The system employs a photonic terahertz wave generator and a superconductor-insulator-superconductor tunneling mixer, which provides both fast frequency sweeping and high receiver sensitivity at the same time. In a performance test of the system with a full-scale simulated fire, we succeeded in detecting hydrogen cyanide (HCN), which is produced by incomplete Chapter 18
Enhancing patient involvement in quality improvement: How complaint managers see their roles and limitations

Patient involvement is a priority for healthcare organizations seeking to improve the quality of care and services. The contribution that complaint handling can make towards quality improvement has remained underexplored, while healthcare organizations are implementing strategies to effectively involve patients in quality improvement. We conducted a qualitative study to understand how complaint managers see their roles and limitations in enhancing patient involvement in quality improvement. A convenience sample of eleven complaint managers was selected from nine Canadian healthcare organizations with various annual volumes of complaints and situated in different settings (urban, rural, and semi-urban). The data were analyzed using a hybrid deductive-inductive approach with QDA Miner. The complaint managers saw themselves as having multiple roles that enhanced patient involvement in quality improvement: ensuring mediations with patients and clinical teams, monitoring improvements following a complaint, and informing the quality improvement and operations teams about the patients’ experiences. The complaint managers also reported limitations in their roles, such as the need to respect confidentiality that excluded patients from decisions about improvements and their hierarchical independence in the organization that kept them away from continuous quality improvement activities. Interestingly, the participants reported using new, promising practices that helped integrate, both retrospectively and proactively, the patients’ perspectives on quality improvement. Complaint handling can be effective, though it is a seldom-used gateway for integrating the patient’s voice in quality improvem ent. Several challenges need to be addressed to make complaint handling a more substantial element in the strategies for involving patients in healthcare organizations.
ajopred.com APPLICATION AND EVALUATION OF 3-COMPONENT MIXTURE OF DIRECTLY COMPRESSIBLE EXCIPIENTS IN TABLET FORMULATION USING AN OPTIMIZATION TECHNIQUE

Different excipients can be mixed to achieve optimal outcomes in direct compression of tablets. The aim of this study is to formulate and evaluate hydrochlorothiazide tablets based on mixtures of directly compressible excipients using the simplex lattice optimization technique. Hydrochlorothiazide tablets were prepared by direct compression technique using a simplex lattice optimization design involving eight different formulations with varied amounts of microcrystalline cellulose (MCC), dextrose and lactose granules. The tablets were evaluated for weight uniformity, crushing strength, friability, disintegration time and dissolution rate. The friability values of the tablets were within the range of 0.2-0.5% while the crushing strengths were within the range of 7-12 KgF. Batches 2 and 8 containing MCC (26.5% /w and 32.4% /w, respectively), dextrose (37.5% /w and 23.4% /w, respectively) and lactose granules (26.5% /w and 34.7% /w, respectively) were selected as the optimized products on the basis of high dissolution (97.7% and 101.8% respectively, at 60 min) and least disintegration time of 13.8 min and 12.7 min, respectively. Equations and response surface plots were derived for the prediction of hydrochlorothiazide release, tablet disintegration time and friability using Design Expert® 10 software. Optimization has proven to be an effective tool in product development and can be used to achieve Quality by Design (QbD). Mixtures of the directly compressible excipients were effectively optimized for the formulation of hydrochlorothiazide tablets.
Additive , Synergistic , and Global Effects Need-supportive teaching and engagement in the classroom : Comparing the additive , synergistic , and global contributions

This study contrasts three hypotheses to determine the best configuration of teacher need-supporting practices (autonomy support, structure, and involvement) in terms of classroom-levels of behavioral, emotional, and cognitive engagement. Multilevel analyses were conducted among a sample of 1,193 8 grade students nested in 57 math classrooms. Results failed to support the additive hypothesis (H1), which anticipated that all three practices would be associated with classroom-levels of engagement when jointly considered. Results also failed to support the synergistic hypothesis (H2), which predicted that the greatest benefits would emerge in classrooms characterized by a high level of two or three practices. Finally, results supported the global hypothesis (H3), which anticipated that the global level taken across the three practices—captured by a global factor—would provide optimal support to classroom-levels of engagement. Specific factors representing the imbalance in autonomy support, structure, and involvement also contributed to some aspects of classroom-levels of engagement.
Name Label Switching Paradigm for Named Data Networking

Named Data Networking (NDN) is regarded as one of the promising architectures of future Internet, in which every packet has a name and packet forwarding is based on lookup of name other than IP address. Scalable fast packet forwarding is always a challenge in NDN. In this letter, a MPLS-like label switching mechanism is proposed, called Name Label Switching (NLS), which uses fixed-length label swapping replacing unbounded name lookup at core nodes and caches data only at edge nodes. The NLS node architecture and forwarding process were presented, and its forwarding performance was analyzed and evaluated by simulation. It showed that NLS can improve the forwarding performance significantly. Using NLS, about 37% of the data response time and about 70% of the Interest packets processing time at core nodes can be saved, compared to native NDN.
Crushed rocks , minerals and mine tailings as sources of potassium in agriculture

Introduction Potassium (I<) constitutes about 1 % of the dry matter of plants. In modern agricultural practice it is supplied to the crop in amounts of 100-200 kg per hectare, the main source being water-soluble Ksalts in commercial compound fertilizers. In organic farming the use of these highly soluble mineralsalts is banned. There is also some interest among convent ional farmers for slow releasing sources of K. Rocks and minerals rich in K might therefore be of increasing importance in the future. Such rocks include those which contain K-feldspar , mica and feltspathoids (Ieucite and nepheline) as their main minerals. Previous studies have shown that plants are able to utilise K from K-feldspar and micas, such as phlogopite and biotite (Serthelin & Leyval 1982, Hinsinger & Jaillard 1993, Hinsinger et al. 1992, 1993, Sanz Scovino & Rowell 1988 , Riggs et al. 1993). In Norway, experiments with crushed rocks as potassium sources in agriculture were carried out already in 1922 by the State Raw Material Laboratory under the direct ion of V. M. Goldschmidt (Goldschmidt & Johnsson 1922 , Cranner 1922 , Solberg 1928 , Retvedt 1938). In this contribution we present the results from recent growth experiments with barley using fresh rocks, fresh minerals and mine tailings as K sources and discuss the results in relation to mineralogical and chemical composition as well as grainsize distribution of the used material.
Metallated derivatives of ammonia borane with a view to their potential as hydrogen storage materials

Ammonia borane has attracted significant interest in the field of hydrogen storage due to its high gravimetric hydrogen content. In this study the reaction of NH\(_3\)BH\(_3\) with various metal hydrides was investigated. The reactions with hydrides of lithium and sodium required a molar ratio of 1:2 in favour of NH\(_3\)BH\(_3\) and the reaction products were characterised as [Li(NH\(_3\))]\(^+\)[BH\(_3\)NH\(_2\)BH\(_3\)]\(^−\) and [Na]\(^+\)[BH\(_3\)NH\(_2\)BH\(_3\)]\(^−\), respectively, through solid state \(^1\)\(^1\)B and \(^2\)\(^3\)Na MAS NMR and Raman spectroscopy. The reaction of CaH\(_2\) with NH\(_3\)BH\(_3\) required a reaction stoichiometry of 1:4 and this reaction proceeded through a different reaction mechanism, forming Ca(BH\(_4\))\(_2\)•2NH\(_3\). The crystal structures of Ca(BH\(_4\))\(_2\)•2NH\(_3\) and Ca(BH\(_4\))\(_2\)•NH\(_3\) were determined by powder diffraction methods and the reaction pathway investigated through solid state \(^1\)\(^1\)B MAS NMR spectroscopy. The thermal desorption properties of these hydrogen rich materials were investigated and hydrogen was released from all the materials. However, under certain conditions ammonia was the major gaseous desorption product from Ca(BH\(_4\))\(_2\)•2NH\(_3\) and was observed as a minor product from the decomposition of [Li(NH\(_3\))]\(^+\)[BH\(_3\)NH\(_2\)BH\(_3\)]\(^−\). Ammonia was also released during the synthesis of [Na]\(^+\)[BH\(_3\)NH\(_2\)BH\(_3\)]\(^−\), but the decomposition of this material was free from ammonia release. Ramped thermal desorption studies of [Na]\(^+\)[BH\(_3\)NH\(_2\)BH\(_3\)]\(^−\) and [Li(NH\(_3\))]\(^+\)[BH\(_3\)NH\(_2\)BH\(_3\)]\(^−\) to 350°C resulted in weight losses due to hydrogen desorption of 7.5 wt% and 12.5 wt%, respectively. Heating Ca(BH\(_4\))\(_2\)•2NH\(_3\) to 350°C resulted in a total weight loss of 27.5 wt%, which was predominantly due to NH\(_3\) desorption. Powder XRD and solid state \(^1\)\(^1\)B MAS NMR spectroscopy were employed to identify the solid decomposition products and decomposition pathways were proposed. Metal borohydrides were identified in all cases as well as polymeric products possessing B–N chains.
La inclusión educativa desde la voz de madres de estudiantes con Trastornos del Espectro Autista en una muestra chilena

El objetivo del estudio es mostrar la perspectiva de madres chilenas sobre la inclusion educativa de sus hijos escolarizados en centros de educacion primaria, quienes presentan un Trastorno del Espectro Autista. Se recogen evidencias, desde la voz de las familias, que pueden servir como punto de partida para reflexionar sobre como avanzar hacia una educacion mas inclusiva y como contribuir a mejorar los apoyos que se brindan a estudiantes con discapacidad. El estudio se enmarca en un paradigma cualitativo de investigacion, utilizando entrevistas no estructuradas para acceder a la informacion. Se ha contado con la participacion de ocho madres chilenas de la Region de Valparaiso. Los resultados muestran que la valoracion de la escolarizacion esta estrechamente relacionada con el bienestar emocional, ambito al que se le otorga mayor relevancia que al de los resultados academicos. Se destaca la importancia de los apoyos adaptados a las necesidades del sistema familiar.
Optimal strategies in repeated games with incomplete information: the dependent case

Using the duality techniques introduced by De Meyer (1996a, 1996b), De Meyer and Marino (2005) provided optimal strategies for both players in finitely repeated games with incomplete information on two sides, in the independent case. In this note, we extend both the duality techniques and the construction of optimal strategies to the case of general type dependence.
A New Strategy for Optimizing Energy and Delay in MCSMAC Protocol

MCSMAC refers to a protocol which is aimed to control multi-channel medium access in wireless sensor networks (WSNs). In this paper, we report a study in which we attempted to optimize the MCSMAC protocol. This protocol was designed on the basis of the S-MAC protocol and is considered to be a kind of contention-based protocol. Any MAC protocol which is designed for sensor networks should take the specific circumstances and constraints of such networks into account; some of the important constraints and features of them are limited resources, high density and traffic among sensor nodes and unstable state of network nodes. Wireless communications among sensors consume the majority of the energy in a network. The primary purpose of our optimization study on the MCSMAC protocol was to reduce the energy consumption and the delay time while transferring data packets. The results obtained from the simulations carried out in this study verify and acknowledge the mentioned improvements in the MCSMAC. This protocol operates efficiently in highly dense and dynamic networks. The energy consumption and delay time of this protocol were meticulously examined under different topologies and traffic loads. Based on the conducted investigations, some equations were proposed for choosing the appropriate parameters for different functions.
An audio zero-watermark scheme based on energy comparing

Zero-watermark technique, embedding watermark without modifying carriers, has been broadly applied for copyright protection of images. However, there is little research on audio zero-watermark. This paper proposes an audio zero-watermark scheme based on energy relationship between adjacent audio sections. Taking use of discrete wavelet transformation (DWT), it gets power approximations, or energies, of audio segments. Then, it extracts the audio profile, i.e. the zero-watermark, according to the relative size of energies of consecutive fragments. The experimental results demonstrate that the proposed scheme is robust against general malicious attacks including noise addition, resampling, low-pass filtering, etc., and this approach effectively solves the contradiction between inaudibility and robustness.
Resource-based Data Placement Strategy for Hadoop Distributed File System

Big-Data is a term for data sets that are so large or complex that traditional data processing tools are inadequate to process or manage them. Apache Hadoop is an open-source software framework for distributed storage and distributed processing of very large data sets on computer clusters built from commodity hardware. The default Hadoop data placement strategy works well in homogeneous cluster. But it performs poorly in heterogeneous clusters because of the heterogeneity (in terms of processing, memory, throughput, I/O, etc.) of the nodes capabilities. It may cause load imbalance and reduce Hadoop performance. Therefore, Hadoop Distributed File System (HDFS) has to rely on load balancing utility to balance data distribution. The utility consumes the cost of extra system resources and running time. As a result, data can be placed evenly across the Hadoop cluster. But it may cause the overhead of transferring unprocessed data from slow nodes to fast nodes because each node has different computing capacity in heterogeneous Hadoop cluster. In order to solve these problems, a data/replica placement algorithm based on storage utilization and computing capacity of each data node in heterogeneous Hadoop Cluster is proposed. The proposed policy can balance the workload as well as reduce overhead of data transmission between different computing nodes.
The Morality of Knowledge in Conversation

Introduction 1. Knowledge, morality and affiliation in social interaction Tanya Stivers, Lorenza Mondada and Jakob Steensig Part I. Affiliational Consequences of Managing Epistemic Asymmetries: 2. The management of knowledge discrepancies and of epistemic changes in institutional interactions Lorenza Mondada 3. Giving support to the claim of epistemic primacy: yo-marked assessments in Japanese Kaoru Hayano 4. Morality and question design: 'of course' as contesting a presupposition of askability Tanya Stivers 5. Addressing epistemic incongruence in question-answer sequences through the use of epistemic adverbs Trine Heinemann, Anna Lindstrom and Jakob Steensig 6. The epistemics of make-believe Jack Sidnell Part II. Epistemic Resources for Managing Affiliation and Alignment: 7. Territories of knowledge, territories of experience: empathic moments in interaction John Heritage 8. The terms of not knowing and social affiliation Leelo Keevallik 9. Proposing shared knowledge as a means of pursuing agreement Birte Asmuss 10. Ways of agreeing with negative stance taking Auli Hakulinen and Marja-Leena Sorjonen 11. Epistemics and embodiment in the interactions of very young children Mardi Kidwell Part III. Toward a Theory: 12. Sources of asymmetry in human interaction: enchrony, status, knowledge and agency N. J. Enfield.