cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Multicategory choice modeling by recurrent neural nets
Creators: name: Hruschka, Harald
Publisher: name: Universität Regensburg
Year: 2025
Subjects: subject: Multicategory choice, Market basket analysis, Neural nets, Optimization
subject: 330 Wirtschaft

description: In multicategory choice, a customer may purchase multiple products or product categories at the same time. Hidden variables of recurrent nets depend on current inputs and hidden variables of the previous period. We investigate the three main variants of recurrent neural nets, which we compare to multilayer perceptrons and multivariate logit models. Model evaluation is based on binary cross-entropies for a holdout sample. We restrict further analyses to the best non-recurrent model, a multilayer perceptron, and the best performing recurrent neural net, which both include category-specific advertising (features) as inputs. We interpret these two models looking at category dependences and feature effects. Category dependences measure the strength of either complementary or substitutive relations. We show what the stronger dependences inferred from the recurrent net imply for cross-selling decisions. We also compare what these two models imply for sales promotion by optimizing features. For the multilayer perceptron we obtain features for each category, which are constant across weeks, equaling either zero or the maximum value. For the recurrent net, features assume many intermediate values and vary considerably across weeks. To illustrate managerial implications of the recurrent net, we determine weekly features for six selected categories that differ as much as possible from each other. Finally, we discuss limitations of our approach and opportunities for future research.
Arizona battery of communication disorders of dementia for evaluation of cognitive impairment in PD and early diagnosis of PDD. [Proceeding]
Creators: name: Tafiadis, Dionysios
name: Messinis Labros
name: Chondrogiorgi Maria
name: Konitsiotis Spyridon
name: Nasios Grigorios
Publisher: name: figshare
Year: 2017
Subjects: Neuroscience

description: Proceeding @ 10th Panhellenic Conference on Alzheimer's Disease and Related Disorders and 2nd Mediterranean Conference on Neurodegenerative Diseases
Application of the diagnostic tool EFA-4 in dementia - [Proceeding]
Creators: name: Erkotidou Sofia
name: Nasios Grigorios
name: Tafiadis, Dionysios
name: Tsolaki Magda
name: Erkotidou Eleni
Publisher: name: figshare
Year: 2017
Subjects: Neuroscience

description: Conference proceeding in greek @ 10th Panhellenic Conference on Alzheimer's Disease and Related Disorders and 2nd Mediterranean Conference on Neurodegenerative Diseases
Similarity and Competition of Polish Agri-food Export with the Largest Agricultural Producers in the EU. Analysis of EU, US and China Market
Creators: name: Bajan, Bartłomiej
name: Łukasiewicz, Joanna
name: Smutka, Luboš
name: Bajan, Bartłomiej
name: Łukasiewicz, Joanna
name: Smutka, Luboš
Publisher: name: Unknown
Year: 2021
Subjects: subject: Agricultural and Food Policy
subject: Agri-food sector
subject: export
subject: structure similarity
subject: international competitiveness

description: Poland is one of the largest agricultural producers within European Union (EU). Since joining EU in 2004, Poland has significantly increased its agri-food trade turnover and strengthened its net exporter standing in this regard. With the understanding that countries exporting similar goods to a specific market can be considered competitors, the examination covered similarities in Poland’s export of agri-food products compared to the two largest agricultural producers in EU, namely Germany and France, in three markets: EU-28, China and United States. The agri-food export was analyzed in terms of structure, value and quality, using ComExt data. The growth of the Polish agri-food trade following the accession to the European Union, allowed the country to become a competitor to the common market’s biggest agricultural producers. Poland’s competitiveness in the US market in relation to Germany is also rising. On the other hand, looking at the Chinese market, the value of the exported agri-food products is too low to consider Poland a major competitor to Germany or France. Poland’s competitiveness in the trade of agri-food products is relatively well covered in the literature, but the studies usually focus on the issue of volume and structure or comparative advantages. The export similarity is omitted, in particular with regard to Central and Eastern European countries (CEEC) and to quality similarities issues. The study also suggests a way to identify countries similar in terms of export structure that is based on entire population results. This study fills in a certain research gap that emerged in the context of CEEC, consisting in the analysis of Poland's export in the background of EU’s largest agricultural producers.
Additional file 1 of Parents’ perceptions of their children’s physical activity during the COVID-19 pandemic
Creators: name: Ostermeier, Emma
name: Tucker, Patricia
name: Tobin, Danielle
name: Clark, Andrew
name: Gilliland, Jason
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Science Policy
subject: Sociology
subject: FOS: Sociology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Additional file 1.
A Strategic Analytics Using Convolutional Neural Networks for Weed Identification in Sugar Beet Fields
Creators: name: Jabir, Brahim
name: Falih, Noureddine
name: Sarih, Asmaa
name: Tannouche, Adil
name: Jabir, Brahim
name: Falih, Noureddine
name: Sarih, Asmaa
name: Tannouche, Adil
Publisher: name: Unknown
Year: 2021
Subjects: subject: Agricultural and Food Policy
subject: Teaching/Communication/Extension/Profession
subject: deep learning
subject: CNN
subject: precision agriculture
subject: decision making
subject: strategic analytics

description: Researchers in precision agriculture regularly use deep learning that will help growers and farmers control and monitor crops during the growing season; these tools help to extract meaningful information from large-scale aerial images received from the field using several techniques in order to create a strategic analytics for making a decision. The information result of the operation could be exploited for many reasons, such as sub-plot specific weed control. Our focus in this paper is on weed identification and control in sugar beet fields, particularly the creation and optimization of a Convolutional Neural Networks model and train it according to our data set to predict and identify the most popular weed strains in the region of Beni Mellal, Morocco. All that could help select herbicides that work on the identified weeds, we explore the way of transfer learning approach to design the networks, and the famous library Tensorflow for deep learning models, and Keras which is a high-level API built on Tensorflow.
VAAFT: Video Assisted Anal Fistula Treatment; Bringing revolution in Fistula treatment.
Creators: name: Dr Muhammad Aacem Khan
Publisher: name: figshare
Year: 2017
Subjects: subject: 110323 Surgery
subject: FOS: Clinical medicine

description: VAAFT: Video Assisted Anal Fistula Treatment;Bringing revolution in Fistula treatment.Original article by Dr Mohammad zarin, Dr Muhammad Asim Khan and others.It is being published in well known journal of pakistan, Pakistan journal of medical sciences with impact factor of 0.786
The ENHS Student Attendance Monitoring System
Creators: name: Lim, Bernard Kenneth Tumlos
Publisher: name: Zenodo
Year: 2024

description: Chronic absenteeism poses a widespread challenge in schools, prompting the need for an advanced attendance monitoring solution beyond the basic features provided by the Department of Education (DepEd) Commons. The Estancia National High School (ENHS), located in Estancia, Iloilo, which has more than 3,900 students and employs approximately 400 teachers, also encounters this problem. To address this issue, the ENHS Student Attendance Monitoring System (SAMS) was designed as a mobile application to streamline and automate attendance tracking processes. It was developed using the Flutter framework, Dart programming language, and NodeJS. It uses MySQL as the database and is currently hosted on an Amazon Web Services (AWS) EC2 Instance running Ubuntu Linux 22. The resulting system allows teachers to input student absences per day and generate monthly reports on student absences. An alert is created when a student reaches a certain number of absences. The alert prompts the teacher to take action according to the number of absences. This proactive monitoring and alerting on student absences benefits students, teachers, and parents. Student absenteeism problems can be easily caught, tracked, and remediated before worsening.
title: Politische Rahmenbedingungen (eInclusion, eGovernment, auf regionaler, nationaler, europäischer Ebene)
Creators: name: Kern, Walter
Publisher: name: Universität Regensburg
Year: 2010
Subjects: subject: eGovernment; eInclusion; Rahmenbedingungen; europäisch; national; regional
subject: 004 Informatik

description: Bereits seit einigen Jahren ist ein stetiger Trend in Richtung eGovernment und eInclusion festzustellen. Über eGovernment, welches als Informations- und Kommunikationstechnologie-gestütztes Regieren und Verwalten übersetzt werden kann, sollen verwaltungsinterne Prozessoptimierungen durch den Einsatz moderner Informationstechnologien geschaffen werden. Zudem besteht die Zielsetzung, eine effiziente, medien- und prozessbruchfreie Kommunikation zwischen staatlichen Institutionen und Bürgern sowie Unternehmen umzusetzen. eInclusion soll dabei helfen, die Vision von eGovernment umzusetzen, indem allen Menschen die Teilhabe an der Informationsgesellschaft ermöglicht wird. Sowohl im eGovernment- als auch im eInclusion-Bereich existieren auf europäischer, nationaler und regionaler Ebene zahlreiche Umsetzungen, über welche im Rahmen dieser Arbeit ein Überblick gegeben werden soll.
NB-IoT Sensor Network for Obtaining the Input Data for Hydrological Simulation Model
Creators: name: Java, Oskars
name: Sigajevs, Aleksandrs
name: Binde, Juris
name: Kepka, Michal
name: Java, Oskars
name: Sigajevs, Aleksandrs
name: Binde, Juris
name: Kepka, Michal
Publisher: name: Unknown
Year: 2021
Subjects: subject: Research and Development/Tech Change/Emerging Technologies
subject: sensor network
subject: internet of things
subject: IoT
subject: sensor data processing
subject: NB-IoT

description: The article describes the choice of appropriate network technology that provides sufficient coverage to allow the sensor network to be placed even in the remote and difficult to reach locations and the data to reach the cloud server. Further it describes the components of the sensor network, the operating principle, architecture and the processing of the data obtained to convert them into the input data used in the hydrological simulation model. The NB-IoT sensor network proposed by the authors would not only collect the data needed to operate hydrological simulation models, but, for example, could provide the data needed to forecast weather conditions, particularly if the architecture of this sensor network, because of its low cost, would be widely applied around the globe, joining a unified global sensor network.
The complete mitogenome of nereid worm, Neanthes glandicincta (Annelida: Nereididae)
Creators: name: Geng-Ming Lin
name: Audira, Gilbert
name: Chung-Der Hsiao
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biochemistry
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Evolutionary Biology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences
subject: 110309 Infectious Diseases
subject: FOS: Health sciences

description: In this study, the complete mitogenome sequence of nereid worm, Neanthes glandicincta (Annelida: Nereididae), has been decoded for the first time by PCR amplification and Sanger sequencing methods. The overall base composition of N. glandicincta mitogenome is 31.5% for A, 22.2% for C, 14.5% for G and 31.7% for T, and has GC content of 36.7%. The assembled mitogenome, consisting of 16,126 bp, has unique 13 protein-coding genes (PCGs), 22 transfer RNAs and 2 ribosomal RNAs genes. The complete mitogenome of N. glandicincta shows 65% identities to Namalycastis abiuma. All PCGs, tRNA and rRNA genes were encoded on H-strand. The potential D-loop is 1625 bp in length and located between tRNA-Gly and tRNA-Met. The complete mitogenome provides essential and important DNA molecular data for further phylogenetic and evolutionary analysis for Annelida.
Teacher Perspectives and Experiences of Assessment Literacy in Victorian Junior Secondary Schools
Creators: name: Brown, Trent D
name: Barnes, Melissa
name: Finefter-Rosenbluh, Ilana
Publisher: name: La Trobe
Year: 2024
Subjects: classificationCode: 390306
subject: Secondary education
classificationCode: 39
subject: Education
classificationCode: 3901
subject: Curriculum and pedagogy
classificationCode: 3904
subject: Specialist studies in education
classificationCode: 3903
subject: Education systems
classificationCode: 390104
subject: English and literacy curriculum and pedagogy (excl. LOTE, ESL and TESOL)

description: Teachers’ assessment practices are invariably related to their knowledge, skills, and beliefs or their assessment literacy. While teachers’ assessment literacy continues to gain attention, there is limited empirical research on the relationship between assessment literacy and teachers’ practices and beliefs, in particular junior secondary school teachers. Drawing from a larger project, this paper employs a synthesised conceptual framework on assessment literacy to interrogate the assessment practices of eight teachers. The findings reveal that teachers’ conceptual knowledge and their conceptions of assessment are influenced by government policies. Teachers acknowledged the importance of effectively interpreting and communicating assessment data in order to support student learning. Finally, the study found that the ways in which teachers meaningfully engaged students in the feedback process created opportunities for building assessment literacy in both teachers and students. This article highlights the gap in how teachers draw upon their conceptual knowledge and how that contextual knowledge allows them to enact assessment within their varied school contexts.
源数据 - 高盐废水的氧化还原中性电化学净化，具有高技术准备水平
Creators: name: li, yongqi
Publisher: name: figshare
Year: 2024
Subjects: classificationCode: 401102
subject: Environmentally sustainable engineering
classificationCode: 401106
subject: Waste management, reduction, reuse and recycling

description: "具有高技术准备水平的高盐废水的氧化还原中性电化学净化"的来源日期。
Mycobacterium paragordonae is an emerging pathogen in human pulmonary disease: clinical features, antimicrobial susceptibility testing and outcomes
Creators: name: Li, Yuanchun
name: Zhang, Wenping
name: Zhao, Jing
name: Lai, Wenjie
name: Zhao, Yanlin
name: Li, Yanming
name: Qu, Jiuxin
Publisher: name: Taylor & Francis
Year: 2022
Subjects: Space Science
Medicine
Biological Sciences not elsewhere classified

description: Objectives: Mycobacterium paragordonae (MPG) is an emerging and less common type of Non-tuberculous mycobacteria (NTM) and we know little about its characteristics and prognosis, hence we constructed this retrospective cohort study. Methods: MPG was identified using MALD-TOF MS, multi-target combined gene sequencing and WGS. Clinical information was collected, antimicrobial susceptibility testing was measured using the SLOMYCO panel, and optimal growth temperature testing was measured using Lowenstein-Jensen medium. Results: Eight MPGs were isolated from 1730 NTMs (0.46%); the mean age of MPG pulmonary disease (MPG-PD) patients was 42.38 ± 9.92 years, 37.5% were male, and the average BMI was 18.4 ± 0.51 kg/m2. All patients had the symptoms of cough and sputum and CT images mainly presented in patchy or streaky shadows, MPG grew at 25°C, 30°C and 37°C, and the optimal growth temperature is 37°C. MPGs were sensitive to clarithromycin, rifabutin, amikacin, linezolid, moxifloxacin, cotrimoxazole and ciprofloxacin, two isolates were resistant to rifampicin. Two patients had follow up information, their imaging remained stable during the follow-up. Conclusions: MPG-PD is a rare NTM disease and is more likely to develop in middle-aged, female, and low BMI patients. The patients present with no specific features within the symptoms as well as the CT imaging. The optimal growth temperature of MPG is at 37°C, MPG-PD has excellent sensitivity to drugs recommended by CLSI and presents with a stable disease.
Barriers to and Benefits of the Use of Smart Farming Technologies for Small and Medium Winemakers, Specifically Sensors and Weather Stations: A Pilot Study
Creators: name: Kaňovská, Lucie
name: Kaňovská, Lucie
Publisher: name: Unknown
Year: 2021
Subjects: subject: Agricultural and Food Policy
subject: Research and Development/Tech Change/Emerging Technologies
subject: smart farming technologies
subject: precision agriculture
subject: precision viticulture
subject: winemakers
subject: Czech Republic

description: Digitization is becoming part of agriculture. Winemakers can use monitoring technologies to map land or control the quality of grapes, and telematics, e.g., in tractors, or use entire autonomous machines. The aim of this paper is to find out the barriers to and benefits of the use of smart farming technologies by small and medium winemakers, specifically sensors and weather stations, which allow the collection of site-specific data for subsequent application in viticulture. Therefore, the pilot study analyses how winemakers in traditional industry are able to employ smart farming technologies (SFT) to gain some benefits and also describe possible barriers. The primary method of data collection was through 27 semi-structured interviews with relevant wine industry actors, accessing documents created by SFT providers and an academic literature review. Three groups of actors were researched: 1) 22 winemakers including the Ekovin Association, 2) three SFT providers and, 3) one supplier of hardware for soil and temperature sensors. According to the information of winemakers, it is clear that SFT are used by some of them and they are clearly aware of their benefits, which is also confirmed by SFT providers. The findings revealed that the main STF benefits are adjustment of the product portfolio, savings, consulting and organization of activities. However, respondents also mentioned barriers to SFT implementation, such as low need for information, another source of information, conservative approaches, ignorance of SFT, financial demands, low state support and age of winemakers. The novelty of this paper is in providing an analysis of the issue of SFT, specifically sensors and weather stations, for winemakers from three different perspectives, that of winemakers, suppliers of SFT and HW manufacturer for SFT.
Arizona battery of communication disorders of dementia for evaluation of cognitive impairment in PD and early diagnosis of PDD.
Creators: name: Tafiadis, Dionysios
name: Messinis Labros
name: Chondrogiorgi Maria
name: Konitsiotis Spyridon
name: Nasios Grigorios
Publisher: name: figshare
Year: 2017
Subjects: Neuroscience

description: Proceeding @ 10th Panhellenic Conference on Alzheimer's Disease and Related Disorders and 2nd Mediterranean Conference on Neurodegenerative Diseases
Thermodynamic characteristics of cotton dyeing with reactive dyes in non-aqueous media
Creators: name: Li, Meiqi
name: Fan, Jie
name: An, Yuan
name: Shao, Min
name: Miao, Junhua
name: Wang, Lijun
name: Hu, Min’gan
name: Shao, Jianzhong
Publisher: name: Taylor & Francis
Year: 2022
Subjects: subject: Biophysics
subject: Medicine
subject: Physiology
subject: FOS: Biological sciences
subject: Biotechnology
subject: Chemical Sciences not elsewhere classified
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Plant Biology

description: Understanding the dyeing behaviors of reactive dyes onto cotton in non-aqueous media is helpful to facilitate the development of sustainable non-aqueous dyeing. Here, the thermodynamic characteristics of cotton dyeing with reactive dyes in the non-aqueous media of liquid paraffin (LP) and decamethylcyclopentasiloxane (D5), were investigated and compared to those in aqueous medium. The results showed that the adsorption isotherms of the reactive dyes in LP, D5, and water media accorded with the Freundlich model, indicating that the dyeing proceeded via the physical adsorption of multi-molecular layers. Furthermore, the dyeing enthalpy and dyeing entropy of cotton dyeing using reactive dyes in LP and D5 media were positive, which was significantly different from those in an aqueous medium. These properties help to understand and interpret the dyeing properties and behavior of reactive dyes onto cotton in LP and D5 media.
Methyl hexaneamine - Molecule of the Month August 2017 [Archived version]
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for August 2017 about methyl hexaneamine. It is a pdf archive version of the HTML webpage.
Vitamin B1- Molecule of the Month September 2017 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for September 2017 about vitamin B1. It is a pdf archive version of the HTML webpage.
Nanoparticle interactions with co-existing contaminants: joint toxicity, bioaccumulation and risk
Creators: name: Deng, Rui
name: Daohui Lin
name: Lizhong Zhu
name: Sanghamitra Majumdar
name: White, Jason C.
name: Gardea-Torresdey, Jorge L.
name: Baoshan Xing
Publisher: name: Taylor & Francis
Year: 2017
Subjects: subject: Biophysics
subject: Space Science
subject: Medicine
subject: Molecular Biology
subject: Biotechnology
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: 69999 Biological Sciences not elsewhere classified
subject: Inorganic Chemistry
subject: FOS: Chemical sciences

description: With their growing production and application, engineered nanoparticles (NPs) are increasingly discharged into the environment. The released NPs can potentially interact with pre-existing contaminants, leading to biological effects (bioaccumulation and/or toxicity) that are poorly understood. Most studies on NPs focus on single analyte exposure; the existing literature on joint toxicity of NPs and co-existing contaminants is rather limited but beginning to develop rapidly. This is the first review paper evaluating the current state of knowledge regarding the joint effects of NPs and co-contaminants. Here, we review: (1) methods for investigating and evaluating joint effects of NPs and co-contaminants; (2) simultaneous toxicities from NPs co-exposed with organic contaminants, metal/metalloid ions, dissolved organic matter (DOM), inorganic ligands and additional NPs; and (3) the influence of NPs co-exposure on the bioaccumulation of organic contaminants and heavy metal ions, as well as the influence of contaminants on NPs bioaccumulation. In addition, future research needs are discussed so as to better understand risk associated with NPs-contaminant co-exposure.
A Report on the Distribution of Phonetic Renderings in Loanwords
Creators: name: Stachowski, Kamil
Publisher: name: figshare
Year: 2017
Subjects: subject: Linguistics
subject: FOS: Languages and literature

description: The paper analyses the distribution of counts of phonetic renderings in 25 adaptations of loanwords from three methodologically different datasets, and concludes that all are consistent with the Zipf–Alekseev distribution. In addition, an intriguing correlation between the coefficients is observed.
Predicting Trends in Cereal Production in the Czech Republic by Means of Neural Networks
Creators: name: Malinovský, Vít
name: Malinovský, Vít
Publisher: name: Unknown
Year: 2021
Subjects: subject: Crop Production/Industries
subject: Research and Development/Tech Change/Emerging Technologies
subject: Research Methods/ Statistical Methods
subject: comparative analysis
subject: cereals production
subject: ELKI software
subject: Excel spreadsheet
subject: neural networks
subject: predicting
subject: statistics
subject: time series
subject: trends

description: This paper deals with problems of processing agricultural production data into the form of time series and analysing consequent results by means of two completely different methods. The first method for calculating cereals production figures uses the MS-Excel spreadsheet using conventional mathematical and statistical functions while the second one uses the ELKI software providing users with development environment including algorithms of neural networks. The obtained results are similar to a certain extent which shows new possibilities of progressive use of neural networks in future and enables modern approach to analysing time series not only in agricultural sector.
NVH-Systemanalyse und -simulation am Beispiel eines E-Fahrzeug-Antriebsstrangs
Creators: name: Höpfner, Gregor
name: Jacobs, Georg
name: Drichel, Pascal
name: Berroth, Joerg Karl
Publisher: name: RWTH Aachen University
Year: 2019

description: PAK-Tag, Fürstenfeldbruck, Germany, 14 May 2019 - 15 May 2019
Vitamin C- Molecule of the Month July 2017 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for July 2017 about vitamin C. It is a pdf archive version of the HTML webpage.
title: A computational model for continual learning and synaptic consolidation
Creators: name: Leimer, Pascal
Publisher: name: Universität Bern
Year: 2022
Subjects: subject: 610 Medicine & health

description: How humans are able to learn and memorize is a long-standing question in science. Much progress has been achieved in recent decades to answer this question but the are still many open problems. One of these problems refers to the human ability to learn several tasks in sequence without forgetting.

In neuronal networks learning can interfere with pre-existing memories when the network is engaged in continual learning. The interference is particularly pronounced if, for instance, similar sensory stimuli require different responses depending on the context. Unlike in humans, this can lead to a memory loss termed catastrophic forgetting. To avoid interference and its fatal consequences, only a subset of synaptic weights should be consolidated. In this work we propose as computational model which performs selective consolidation by incorporating the synaptic tagging and capture hypothesis. This hypothesis, well grounded by experimental evidences, claims that synaptic consolidation requires both a synaptic-specific tag and diffusible plasticity-related proteins. We show that synaptic tagging and capture can be modeled by two classes of synaptic processes acting on different time scales. The two classes, characterized whether protein synthesis is required, are represented in our model by two synaptic components interacting with each other.

With our approach we demonstrate that synaptic consolidation can not only diminishes the problem of catastrophic forgetting during continual learning but also enables fast learning through strongly changing synaptic strengths during the early phase of long-term potentiation. The model reproduces various experimental observations on synaptic tagging and cross-tagging. It also explains why learning in psychophysical experiments is hampered when different types of stimuli are randomly intermixed.
Nitrogen trichloride - Molecule of the Month April 2017 [Archived version]
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for April 2017 about nitrogen trichloride. It is a pdf archive version of the HTML webpage.
Nepetalactone- Molecule of the Month March 2017 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for March 2017 about nepetalactone. It is a pdf archive version of the HTML webpage.
2,4-dinitrophenylhydrazine - Molecule of the Month December [Archived version] 2017
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for December 2016 about 2,4-dinitrophenylhydrazine. It is a pdf archive version of the HTML webpage.
Vitamin A- Molecule of the Month January 2017 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for January 2017 about vitamin A. It is a pdf archive version of the HTML webpage.
Benzoyl peroxide - Molecule of the Month February 2017 [Archived version]
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for February 2017 about benzoyl peroxide. It is a pdf archive version of the HTML webpage.
Acrylamide - Molecule of the Month August 2016 [Archived version]
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for August 2016 about acrylamide. It is a pdf archive version of the HTML webpage.
Ferric chloride- Molecule of the Month October 2016 [Archived version]
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for October 2016 about ferric chloride. It is a pdf archive version of the HTML webpage.
Neohesperidin - Molecule of the Month November 2016 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for November 2016 about neohesperidin. It is a pdf archive version of the HTML webpage.
Additional file 1 of Factors associated with initiation and continuation of endocrine therapy in women with hormone receptor-positive breast cancer
Creators: name: Cho, Beomyoung
name: Pérez, Maria
name: Jeffe, Donna B.
name: Kreuter, Matthew W.
name: Margenthaler, Julie A.
name: Colditz, Graham A.
name: Liu, Ying
Publisher: name: figshare
Year: 2022
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Biotechnology
subject: Immunology
subject: FOS: Clinical medicine
subject: Mathematical Sciences not elsewhere classified
subject: Cancer
subject: Science Policy
subject: Computational Biology

description: Additional file 1.
Vitamin E - Molecule of the Month August 2016 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for August 2016 about vitamin E. It is a pdf archive version of the HTML webpage.
Characterization of dielectric barrier discharges for analytical applications
Creators: name: Klute, Felix David
Publisher: name: Technische Universität Dortmund
Year: 2019
Subjects: subject: Plasma
subject: Dielektrisch behinderte Entladungen
subject: Analytik
subject: 530
subject: Barrierenentladung
subject: Plasma
subject: Massenspektrometrie
subject: Atomemissionsspektroskopie

description: This work will focus on the characterization of different dielectric barrier discharges (DBD) that are used in analytical applications. These discharges are primarily used as ion sources that provide charged species for the subsequent detection with atmospheric mass spectrometers (MS) or ion mobility spectrometers (IMS). The main method of investigation for the DBDs will be based on optical methods such as temporally-, spatially-, and spectrally-resolved optical emission spectroscopy (TSSROES). The small size of the DBDs investigated in this work complicates physical probing with e.g. Langmuir-probe, which means that optical measurements such as the TSSR-OES is the only feasible approach to characterize the mechanisms of said DBDs. The findings of the these characterizations will be correlated with mass spectrometric measurements to evaluate the analytical performance of each discharge at different parameters. Combination of fundamental discharge characteristics respectively parameters to a meaningful ionization efficiency of a given plasma source will eventually improve the understanding of soft-ionization mechanisms that are a key part of current analytical applications and greatly help optimizing them.
description: Diese Arbeit konzentriert sich auf die Charakterisierung verschiedener dielektrisch behinderter Entladungen (DBD), die in analytischen Anwendungen verwendet werden. Diese Entladungen werden in erster Linie als Ionenquellen verwendet, die geladene Spezies für den späteren Nachweis mit atmosphärischen Massenspektrometern (MS) oder Ionenmobilitätsspektrometern (IMS) bereitstellen. Die Hauptmethode der Untersuchung für die DBDs wird auf optischen Methoden wie der zeitlich, räumlich und spektral aufgelösten optischen Emissionsspektroskopie (TSSR-OES) basieren. Die geringe Größe der in dieser Arbeit untersuchten DBDs erschwert die physikalische Untersuchung mit z.B. Langmuir-Sonden, was bedeutet, dass optische Methoden wie die TSSR-OES der einzig mögliche Ansatz zur Charakterisierung der Mechanismen der DBDs sind. Die Ergebnisse dieser Charakterisierungen werden mit massenspektrometrischen Messungen korreliert, um die analytische Leistung jeder Entladung bei verschiedenen Parametern zu bewerten. Die Kombination von grundlegenden Entladungseigenschaften bzw. Parametern zu einer aussagekräftigen Ionisationseffizienz für eine bestimmte Plasmaquelle wird letztendlich das Verständnis von weichen Ionisationsmechanismen, die ein wichtiger Bestandteil aktueller analytischer Anwendungen sind, verbessern und wesentlich dazu beitragen diese Anwendungen zu optimieren.
The adopter versus the technology: their importance as determinants of adoption and their use in research
Creators: name: Montes De Oca Munguia, Oscar
name: Pannell, David J.
name: Llewellyn, Rick
name: Montes De Oca Munguia, Oscar
name: Pannell, David J.
name: Llewellyn, Rick
Publisher: name: Unknown
Year: 2020
Subjects: subject: Environmental Economics and Policy
subject: Agricultural technology
subject: technology adoption and diffusion
subject: drivers of adoption
subject: variable importance

description: Research on the determinants of adoption of agricultural innovations (technologies and practices) has failed to converge towards a consistent explanation for why farmers do or do not choose to adopt new technologies and practices. This absence of convergence matters because it indicates that agricultural extension and policy are influenced by a body of literature that is often not able to offer clear recommendations on the variables that can be used to design interventions. Our analysis shows that adopter and technology characteristics are important determinants of adoption, but researchers have been mainly focused on researching the adopter and the general farming context, with relatively little attention on understanding the influence on adoption of the characteristics of the technology itself.
description: Note: this working paper is an extension of the following published and peer-reviewed article: Montes de Oca Munguia, O., and Llewellyn, R. (2020). The adopters versus the technology: which matters more when predicting or explaining adoption? Applied Economic Perspectives and Policy.
Cobalt chloride - Molecule of the Month June 2016 [Archived version]
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for June 2016 about cobalt chloride. It is a pdf archive version of the HTML webpage.
Qui Opticam, Perspectivam, Catoptricam, Dioptricam, Sphaerica & Trigonometriam Sphaericam, atque Astronomiam tam Sphaericam, quam Theoricam complectitur
Creators: name: Wolff, Christian
Publisher: name: Bousquet [u.a.]
Year: 2022

description: Elementa matheseos universae
description: 3
Factors Affecting Fast Food Restaurant Image in Peshawar: Moderating Role of Customer Personality Traits
Creators: name: Nagy, Henrietta
name: Sana, Safdar
name: Ahmad, Wisal
name: Huseynov, Ragif
name: Jan, Muhammad Farooq
name: Bieli, Peter
name: Nagy, Henrietta
name: Sana, Safdar
name: Ahmad, Wisal
name: Huseynov, Ragif
name: Jan, Muhammad Farooq
name: Bieli, Peter
Publisher: name: Unknown
Year: 2021
Subjects: subject: Marketing
subject: FOS: Economics and business
subject: restaurant image
subject: service quality
subject: ambiance
subject: personality traits

description: Relating unique identity of product with consumer buying behavior is not so straight forward. Many factors need to be studied in order to investigate this relationship. This study was conducted to see the direct effects of various marketing elements including brand name, service quality, food price and the ambient factors on customer perception about the restaurant image as well as the moderating influence of consumers’ personality traits on such relationship. Data was collected from two hundred and forty customers in six well known restaurants of Peshawar in order to examine the hypothesized relationships. The findings of the study support the hypothesized relationship between the study variables and hence all the hypotheses of the study are supported. The study findings particularly the moderating role of personality traits of restaurant customers’ in building customers’ restaurant perception is of immense importance for academicians in general and restaurant management in particular. The study also presents valuable future research directions which will further this inquiry in future.
Radiation Effects Research in Finland
Creators: name: Javanainen, Arto
Publisher: name: Zenodo
Year: 2020
Subjects: Radiation effects
RADEF
JYFL
European Space Agency
Heavy ions
Protons
Electrons

description: In order to assure the reliability of a satellite mission, one important consideration is the inevitable presence of the radiation field in the satellite operating environment. The radiation effects, induced by (1) high energy heavy-ions, (2) protons and (3) electrons, as well as (4) high energy gammas from various sources in the solar system, can dramatically interfere the operation of space systems. In worst cases, the radiation can result in the loss of the whole mission. Radiation effects can be studied by using particle accelerators and other artificial radiation sources already on ground level before launch. The Accelerator Laboratory in the University of Jyväskylä hosts the RADiation Effects Facility, RADEF, that provides energetic particle beams, which are frequently used for radiation hardness assurance testing for the needs of various space projects. Among others, in RADEF’s years of operation, electronic devices used practically in each ESA’s space missions (e.g. BebiColombo, JUICE etc.) designed during that period, have been tested at this facility.
Resveratrol - Molecule of the Month July 2016 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for July 2016 about resveratrol. It is a pdf archive version of the HTML webpage.
Vitamin K - Molecule of the Month May 2016 [Archived version]
Creators: name: May, Paul
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for May 2016 about vitamin K. It is a pdf archive version of the HTML webpage.
The nitration of 1-methyl-2,4,5-triiodoimidazole and its oxidation by-product under nitration conditions
Creators: name: Lian, Pengbao
name: Chen, Lizhen
name: Chen, Jun
name: Wang, Jingqi
name: Wang, Jianlong
name: Chen, Jian
Publisher: name: Taylor & Francis
Year: 2020
Subjects: subject: Biophysics
subject: Biochemistry
subject: Physical Sciences not elsewhere classified
subject: Pharmacology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Plant Biology
subject: FOS: Biological sciences

description: In this paper, 1-methyl-2,4,5-triiodoimidazole (1) was nitrified with various nitrating reagents. 1-Methyl-2,4,5-triiodoimidazole mononitrate (2), 2,4-diiodo-1-methyl-5-nitroimidzole (3), 2,5-diiodo-1-methyl-4-nitroimidzole (4), 4,5-dinitro-2-iodo-1-methylimidzole (5), 2,4-dinitro-5-iodo-1-methylimidzole (6) and 2,4-dinitro-1-methylimidzole (8) were obtained as intermediate derivatives; and 1-methyl-2,4,5-trinitroimidazole (7) was gave as target compound; meanwhile, 1-methylimidazolidine-2,4,5-trione (9) was formed as a nitration by-product. These compounds were characterized by melting point, IR, NMR, and elemental analysis. The structure of (2)–(6) and (9) were further confirmed by single crystal X-ray diffraction. Furthermore, the formation enthalpy, detonation velocity and detonation pressure of (3)–(8) were calculated, and thermal decomposition temperature, impact sensitivity and friction sensitivity were measured. Using this nitration strategy to nitrify dense iodine-rich compounds, Agent Defeat Weapons (ADWs) with balanced iodine content and energy can be obtained.
Acetic acid - Molecule of the Month April 2016 [Archived version]
Creators: name: Cotton, Simon
Publisher: name: figshare
Year: 2017
Subjects: subject: 39999 Chemical Sciences not elsewhere classified
subject: FOS: Chemical sciences

description: This is the Molecule of the Month entry for April 2016 about acetic acid. It is a pdf archive version of the HTML webpage.
Sentiment Analysis in Agriculture
Creators: name: Novák, Jiří
name: Benda, Petr
name: Šilerová, Edita
name: Vaněk, Jiří
name: Kánská, Eva
name: Novák, Jiří
name: Benda, Petr
name: Šilerová, Edita
name: Vaněk, Jiří
name: Kánská, Eva
Publisher: name: Unknown
Year: 2021
Subjects: subject: Agricultural and Food Policy
subject: Research and Development/Tech Change/Emerging Technologies
subject: sentiment analysis
subject: agriculture
subject: opinion mining
subject: natural language processing
subject: text mining

description: Sentiment analysis is currently the most actively researched topic in the field of natural language processing, however, despite it being such a powerful tool, it is not very widely used in the agrarian sector. This research focuses on the discovery and analysis of scientific literature related to Sentiment analysis in agriculture, to provide an overview of how and where Sentiment analysis is used in the agrarian sector and which methods are most commonly used. This article also discusses which applications of Sentiment analysis yield the most benefits and suggests a direction for future research.
title: Structural and Optical Properties of Nanocrystalline TiO2 with Multiwalled Carbon Nanotubes and Its Photovoltaic Studies Using Ru(II) Sensitizers
Creators: name: Delekar, Sagar D.
name: Dhodamani, Ananta G.
name: More, Krantiveer V.
name: Dongale, Tukaram D.
name: Kamat, Rajanish K.
name: Acquah, Steve
name: Dalal, Naresh S.
name: Panda, Dilip K.
Publisher: name: University of Massachusetts Amherst
Year: 2018

description: This ACS article is provided to You under the terms of this Standard ACS AuthorChoice/Editors’ Choice usage agreement between You and the American Chemical Society (“ACS”), a federally-chartered nonprofit located at 1155 16th Street NW, Washington DC 20036. Your access and use of this ACS article means that you have accepted and agreed to the Terms and Conditions of this Agreement. ACS and You are collectively referred to in this Agreement as “the Parties”).
description: In this study, the in situ sol–gel method has been deployed to prepare the titanium dioxide/multiwalled carbon nanotubes (TiO2/MWCNTs) nanocomposite (NCs) powders with varying content of MWCNTs (0.01–1.0 wt %), to construct the dye-sensitized solar cells (DSSCs). First, binder-free NCs were deposited on a transparent-conducting F:SnO2 (FTO) glass substrate by a doctor-blade technique and then anchored with Ru(II)-based dyes to either N719 or ruthenium phthalocyanine (RuPc). The structural and optical properties and interconnectivity of the materials within the composite are investigated thoroughly by various spectral techniques (XRD, XPS, Raman, FT-IR, and UV–vis), electron microscopy (HRTEM), and BET analysis. The experimental results suggest that the ratio of MWCNTs and TiO2 in NCs, morphology, and their interconnectivity influenced their structural, optical, and photovoltaic properties significantly. Finally, the photovoltaic performances of the assembled DSSCs with different content of MWCNTs to TiO2 films anchored with two different dyes were tested under one sun irradiation (100 mW/cm2). The measured current–voltage (IV) curve and incident photon-to-current conversion efficiency (IPCE) spectra of TiO2/0.1 wt % MWCNTs (T@0.1 C) for N719 dye show three times more power conversion efficiency (η = 6.21%) which is opposed to an efficiency (η = 2.07%) of T@0.1 C for RuPc dye under the same operating conditions.
Curating Local Bird Observation Records while Leveraging Global Citizen Science Platforms for Biodiversity
Creators: name: Grenz, Daryl
name: Karsou, Rawan
name: Baessa, Mohamed
Publisher: name: Zenodo
Year: 2020

description: In 2009, KAUST opened as a new university and town built in the coastal desert along the shores of the Red Sea in western Saudi Arabia, significantly altering the local natural environment. Soon after, a birdwatcher began keeping private records of birds observed in the mix of new and old habitats being created in the university campus. In support of the institutional commitment to stewardship of its environment, this individual later took a position working for the university to record, conserve and enhance native biodiversity, while also networking with other community members to share observations. As this founding community member prepared to depart the university in 2019, the university library repository team worked with him to convert the collected data into a community resource that saves past records into a stable environment where they can be explored within the local context. In addition, by integrating with existing, globally recognized citizen science tools, we worked to provide a dynamic collection that will continue to grow with participation from new community members. This presentation will focus on the experiences of converting unstructured data into a standard, structured form with reference to the Darwin Core metadata standard, and of integrating with the eBird API for new observation records. We will also introduce some of the tools we relied on, such as the use of Knime for data extraction and conversion, and also discuss how this project is providing a basis for additional efforts to curate biodiversity information in our institution.