13,255 research outputs found
Students’ Modular Learning Experiences Amidst Pandemic: A Basis for Recovery Plan
The researchers of this study determined the experiences of students to modular learning, the things that they like most about the module, and the students’ priorities for the improvement of the module. The researchers employed the descriptive-survey design and the subjects of this study were 102 officially enrolled Grade 11 and Grade 12 Academic and TVL students of Juban National High School during the school year 2021-2022 and used adopted questionnaire. Findings revealed that the majority of the respondents had positive responses about the quality of the module. Moreover, there are things that the students like most about the module. Still, they have priorities to improve the module. The researchers recommended that the continuous improvement of the learning module must be done across the subject areas. Keywords: Modular Learning, COVID-19 Pandemic, Learning Experiences, Recovery Plan DOI: 10.7176/JEP/14-7-03 Publication date:March 31st 202
A Design Science Research Approach to Smart and Collaborative Urban Supply Networks
Urban supply networks are facing increasing demands and challenges and thus constitute a relevant field for research and practical development. Supply chain management holds enormous potential and relevance for society and everyday life as the flow of goods and information are important economic functions. Being a heterogeneous field, the literature base of supply chain management research is difficult to manage and navigate. Disruptive digital technologies and the implementation of cross-network information analysis and sharing drive the need for new organisational and technological approaches. Practical issues are manifold and include mega trends such as digital transformation, urbanisation, and environmental awareness.
A promising approach to solving these problems is the realisation of smart and collaborative supply networks. The growth of artificial intelligence applications in recent years has led to a wide range of applications in a variety of domains. However, the potential of artificial intelligence utilisation in supply chain management has not yet been fully exploited. Similarly, value creation increasingly takes place in networked value creation cycles that have become continuously more collaborative, complex, and dynamic as interactions in business processes involving information technologies have become more intense.
Following a design science research approach this cumulative thesis comprises the development and discussion of four artefacts for the analysis and advancement of smart and collaborative urban supply networks. This thesis aims to highlight the potential of artificial intelligence-based supply networks, to advance data-driven inter-organisational collaboration, and to improve last mile supply network sustainability. Based on thorough machine learning and systematic literature reviews, reference and system dynamics modelling, simulation, and qualitative empirical research, the artefacts provide a valuable contribution to research and practice
Identifizierung prädiktiver und prognostischer Biomarker in unterschiedlichen Tumorkompartimenten des ösophagealen Adenokarzinoms
Das ösophageale Adenokarzinom zeigt eine global steigende Inzidenz und hat mit einer 5-Jahres-Überlebensrate von weniger als 25% eine schlechte Prognose. Personalisierte Therapieansätze sind selten und prognostische/prädiktive Biomarker des Tumormikromilieus sind unzureichend charakterisiert. Die kumulative Promotion nähert sich dieser Problematik in drei unterschiedlichen Schwerpunkten. 1. Zur Identifizierung Kompartiment-spezifischer Biomarker wurde eine Methode entwickelt, welche als kostengünstige Alternative zum sc-Seq Expressionsprofile individueller Zelltypen generiert. Dabei erfolgt die Extraktion der RNA nicht aus Einzelzellen, sondern aus flowzytometrisch-getrennten Zellkompartimenten. Die Separation der Proben in Epithelzellen, Immunzellen und Fibroblasten wurde durch verschiedene Verfahren validiert und eine suffiziente Ausbeute an RNA auch für kleine Gewebemengen gezeigt. 2. Biomarker des Immunzellkompartiments als therapeutische Angriffspunkte wurden in einem Patientenkollektiv von bis zu 551 Patienten auf ihre Bedeutung beim EAC überprüft. Es zeigte sich eine Expression der Immuncheckpoints LAG3, VISTA und IDO auf TILs durch IHC und RNA-Sonden basierte Verfahren in einem relevanten Anteil (LAG3: 11,4%, VISTA: 29%, IDO: 52,6%). Es konnte eine prognostisch günstige Bedeutung der VISTA, LAG3 und IDO Expression gezeigt werden. Durch den Vergleich von Genexpressionsprofilen aus therapienaiven und vorbehandelten Tumoren konnte zudem ein immunsuppressiver Effekt von neoadjuvanten Therapiekonzepten auf das Tumormikromilieu des EACs gezeigt werden. Dabei kam es zur verminderten Expression von Checkpoints und Anzahl TILs nach (Radio-) Chemotherapie. 3. Im Tumorzellkompartiment wurde die Rolle von Amplifikationen in ErbB-Rezeptor abhängigen Signalwegen durch FISH-Technik und Immunhistochemie evaluiert. Es fanden sich KRAS Amplifikationen in 17,1%, PIK3CA Amplifikationen in 5% sowie eine HER2/neu-Überexpression in 14,9% der untersuchten Tumore
An Experimental Study on Sentiment Classification of Moroccan dialect texts in the web
With the rapid growth of the use of social media websites, obtaining the
users' feedback automatically became a crucial task to evaluate their
tendencies and behaviors online. Despite this great availability of
information, and the increasing number of Arabic users only few research has
managed to treat Arabic dialects. The purpose of this paper is to study the
opinion and emotion expressed in real Moroccan texts precisely in the YouTube
comments using some well-known and commonly used methods for sentiment
analysis. In this paper, we present our work of Moroccan dialect comments
classification using Machine Learning (ML) models and based on our collected
and manually annotated YouTube Moroccan dialect dataset. By employing many text
preprocessing and data representation techniques we aim to compare our
classification results utilizing the most commonly used supervised classifiers:
k-nearest neighbors (KNN), Support Vector Machine (SVM), Naive Bayes (NB), and
deep learning (DL) classifiers such as Convolutional Neural Network (CNN) and
Long Short-Term Memory (LTSM). Experiments were performed using both raw and
preprocessed data to show the importance of the preprocessing. In fact, the
experimental results prove that DL models have a better performance for
Moroccan Dialect than classical approaches and we achieved an accuracy of 90%.Comment: 13 pages, 5 tables, 2 figure
Zero-Shot Generalizable End-to-End Task-Oriented Dialog System using Context Summarization and Domain Schema
Task-oriented dialog systems empower users to accomplish their goals by
facilitating intuitive and expressive natural language interactions.
State-of-the-art approaches in task-oriented dialog systems formulate the
problem as a conditional sequence generation task and fine-tune pre-trained
causal language models in the supervised setting. This requires labeled
training data for each new domain or task, and acquiring such data is
prohibitively laborious and expensive, thus making it a bottleneck for scaling
systems to a wide range of domains. To overcome this challenge, we introduce a
novel Zero-Shot generalizable end-to-end Task-oriented Dialog system, ZS-ToD,
that leverages domain schemas to allow for robust generalization to unseen
domains and exploits effective summarization of the dialog history. We employ
GPT-2 as a backbone model and introduce a two-step training process where the
goal of the first step is to learn the general structure of the dialog data and
the second step optimizes the response generation as well as intermediate
outputs, such as dialog state and system actions. As opposed to
state-of-the-art systems that are trained to fulfill certain intents in the
given domains and memorize task-specific conversational patterns, ZS-ToD learns
generic task-completion skills by comprehending domain semantics via domain
schemas and generalizing to unseen domains seamlessly. We conduct an extensive
experimental evaluation on SGD and SGD-X datasets that span up to 20 unique
domains and ZS-ToD outperforms state-of-the-art systems on key metrics, with an
improvement of +17% on joint goal accuracy and +5 on inform. Additionally, we
present a detailed ablation study to demonstrate the effectiveness of the
proposed components and training mechanis
Examples of works to practice staccato technique in clarinet instrument
Klarnetin staccato tekniğini güçlendirme aşamaları eser çalışmalarıyla uygulanmıştır. Staccato
geçişlerini hızlandıracak ritim ve nüans çalışmalarına yer verilmiştir. Çalışmanın en önemli amacı
sadece staccato çalışması değil parmak-dilin eş zamanlı uyumunun hassasiyeti üzerinde de
durulmasıdır. Staccato çalışmalarını daha verimli hale getirmek için eser çalışmasının içinde etüt
çalışmasına da yer verilmiştir. Çalışmaların üzerinde titizlikle durulması staccato çalışmasının ilham
verici etkisi ile müzikal kimliğe yeni bir boyut kazandırmıştır. Sekiz özgün eser çalışmasının her
aşaması anlatılmıştır. Her aşamanın bir sonraki performans ve tekniği güçlendirmesi esas alınmıştır.
Bu çalışmada staccato tekniğinin hangi alanlarda kullanıldığı, nasıl sonuçlar elde edildiği bilgisine
yer verilmiştir. Notaların parmak ve dil uyumu ile nasıl şekilleneceği ve nasıl bir çalışma disiplini
içinde gerçekleşeceği planlanmıştır. Kamış-nota-diyafram-parmak-dil-nüans ve disiplin
kavramlarının staccato tekniğinde ayrılmaz bir bütün olduğu saptanmıştır. Araştırmada literatür
taraması yapılarak staccato ile ilgili çalışmalar taranmıştır. Tarama sonucunda klarnet tekniğin de
kullanılan staccato eser çalışmasının az olduğu tespit edilmiştir. Metot taramasında da etüt
çalışmasının daha çok olduğu saptanmıştır. Böylelikle klarnetin staccato tekniğini hızlandırma ve
güçlendirme çalışmaları sunulmuştur. Staccato etüt çalışmaları yapılırken, araya eser çalışmasının
girmesi beyni rahatlattığı ve istekliliği daha arttırdığı gözlemlenmiştir. Staccato çalışmasını yaparken
doğru bir kamış seçimi üzerinde de durulmuştur. Staccato tekniğini doğru çalışmak için doğru bir
kamışın dil hızını arttırdığı saptanmıştır. Doğru bir kamış seçimi kamıştan rahat ses çıkmasına
bağlıdır. Kamış, dil atma gücünü vermiyorsa daha doğru bir kamış seçiminin yapılması gerekliliği
vurgulanmıştır. Staccato çalışmalarında baştan sona bir eseri yorumlamak zor olabilir. Bu açıdan
çalışma, verilen müzikal nüanslara uymanın, dil atış performansını rahatlattığını ortaya koymuştur.
Gelecek nesillere edinilen bilgi ve birikimlerin aktarılması ve geliştirici olması teşvik edilmiştir.
Çıkacak eserlerin nasıl çözüleceği, staccato tekniğinin nasıl üstesinden gelinebileceği anlatılmıştır.
Staccato tekniğinin daha kısa sürede çözüme kavuşturulması amaç edinilmiştir. Parmakların
yerlerini öğrettiğimiz kadar belleğimize de çalışmaların kaydedilmesi önemlidir. Gösterilen azmin ve
sabrın sonucu olarak ortaya çıkan yapıt başarıyı daha da yukarı seviyelere çıkaracaktır
Sustainability Badges and Their Impact on Purchase Intention in the Context of Green Travel Choices
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceTravelling is subject to a constant change dictated by the different challenges and development over
the centuries. Nowadays, travellers prefer to adopt a more sustainable approach to travelling, despite
the difficulty in finding environmentally friendly options in the market. On the other side, holiday and
accommodation providers have started to roll out solutions to fulfil consumers’ needs.
The study analysed the impact of adding sustainability labels on accommodation provider listings
(conventional vs. peer-to-peer ones) to assess their impact on purchase intention, business credibility
and trust.
Results demonstrated that the presence of sustainability labels didn’t trigger a more favourable
purchase intention. Despite the outcome, the impact of relationship norms (communal vs. exchange)
in the relation showed that exchange norms were proven to have a detrimental effect on buying.
Finally, no mediation effects were found to be significant for trust and credibility.
Those findings have important implications for shaping communication based on the type of
relationship established between accommodation providers and the end consumers, other than
underlining the importance of visual cues and their impact on customers and their decision-making
process
Procedure-Aware Pretraining for Instructional Video Understanding
Our goal is to learn a video representation that is useful for downstream
procedure understanding tasks in instructional videos. Due to the small amount
of available annotations, a key challenge in procedure understanding is to be
able to extract from unlabeled videos the procedural knowledge such as the
identity of the task (e.g., 'make latte'), its steps (e.g., 'pour milk'), or
the potential next steps given partial progress in its execution. Our main
insight is that instructional videos depict sequences of steps that repeat
between instances of the same or different tasks, and that this structure can
be well represented by a Procedural Knowledge Graph (PKG), where nodes are
discrete steps and edges connect steps that occur sequentially in the
instructional activities. This graph can then be used to generate pseudo labels
to train a video representation that encodes the procedural knowledge in a more
accessible form to generalize to multiple procedure understanding tasks. We
build a PKG by combining information from a text-based procedural knowledge
database and an unlabeled instructional video corpus and then use it to
generate training pseudo labels with four novel pre-training objectives. We
call this PKG-based pre-training procedure and the resulting model Paprika,
Procedure-Aware PRe-training for Instructional Knowledge Acquisition. We
evaluate Paprika on COIN and CrossTask for procedure understanding tasks such
as task recognition, step recognition, and step forecasting. Paprika yields a
video representation that improves over the state of the art: up to 11.23%
gains in accuracy in 12 evaluation settings. Implementation is available at
https://github.com/salesforce/paprika.Comment: CVPR 202
The cosmic waltz of Coma Berenices and Latyshev 2 (Group X). Membership, phase-space structure, mass, and energy distributions
Context. Open clusters (OCs) are fundamental benchmarks where theories of
star formation and stellar evolution can be tested and validated. Coma Ber and
Latyshev 2 (Group X) are the second and third OCs closest to the Sun, making
them excellent targets to search for low-mass stars and ultra-cool dwarfs. In
addition, this pair will experience a flyby in 10-16 Myr which makes it a
benchmark to test OCs pair interactions. Aims. We aim at analysing the
membership, luminosity, mass, phase-space (i.e., positions and velocities), and
energy distributions for Coma Ber and Latyshev 2 and test the hypothesis of the
mixing of their populations at the encounter time. Methods. We develop a new
phase-space membership methodology and apply it to Gaia data. With the
recovered members we infer the phase-space, luminosity and mass distributions
using publicly available Bayesian inference codes. Then, with a publicly
available orbit integration code and members' positions and velocities, we
integrate their orbits 20 Myr into the future. Results. In Coma Ber, we
identify 302 candidate members distributed in the core and tidal tails. The
tails are dynamically cold and asymmetrically populated. The stellar system
called Group X is made of two structures: the disrupted OC Latyshev 2 (186
candidate members) and a loose stellar association called Mecayotl 1 (146
candidate members), both of them will fly by Coma Ber in Myr and
Myr, respectively, and each other in Myr. Conclusions.
We study the dynamical properties of the core and tails of Coma Ber and also
confirm the existence of the OC Latyshev 2 and its neighbour stellar
association Mecayotl 1. Although these three systems will experience encounters
we find no evidence supporting the mixing of their populations.Comment: 25 pages, 19 figures, accepted for publication in Astronomy &
Astrophysic
TEACHING STRATEGIES AND THE PROBLEM FACED BY EFL TEACHER DURING COVID-19 OUTBREAK AT JUNIOR HIGH SCHOOL
The education system have to switch from face-to-face to online teaching due to the pandemic. This situation is considered new in Indonesia, the teachers have to adapt their self with this situation. An example is learning to use technology in online teaching and making a lesson plan that can make students interested in online learning.This research aimed to know what are teaching strategies used by EFL teachers and what are the teacher problems in online teaching at the Junior High School 98 during Pandemic. This research used qualitative as a design and narrative descriptive as the approach. The technique to collect the data researcher used in this research is observation, interview, and documentation. In addition, the object of this research is EFL teachers, the researcher interviewed 5 EFL teachers. The results of this research are: 1)The teacher strategies used in online teaching during a pandemic is synchronous, while teacher used platform WhatsApp, Google Classroom, and Google Meet for online classes. In addition, to create the task the teacher gives chance to the students to useanother platform such as Canva, Youtube, Video Maker, etc. On the other hand, the teacher have some strategies to overcome the problems when teaching online, such as when the students have a problem in the following class online through the platform Google Meet, the teacher shared the material in Google Classroom. While, the researcher found in students motivation the teacher do teamwork with students’ parents in control the students at home; 2) the teaching online problems that researcher found in this research are: lack of quota package, lack of internet access, lack of motivation, and lack of facilities
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