Analysis of Phonological Acquisition and Children's Polite Speech in The Pre-Operational Period (3-4 Years) by Die Bhakti Wardoyo Putro, Sudartomo Macaryus, Desy Rufaidah, Mawarti, Anisah Salma Fauziyyah, Camelia Wahyu Trimulyono, Hany Jihan Nailah, Theresia Nia Susanti

“…Data collection is done by using the observation method with a note-taking technique. …”
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Learning Video Based on Contextual Approach Science Content of Grade V Elementary School by Gede Ngurah Griantara Manuaba, DB. KT. NGR. Semara Putra

“…The data analysis techniques used are quantitative and qualitative descriptive data analysis techniques. …”
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DIFFERENCES IN TEAR SECRETION BEFORE AND AFTER PHACOEMULSIFICATION SURGERY USING SCHIRMER I TESTS by Raditya Pradana Daryosta, Arnila Novitasari Saubig, Maharani Cahyono, Trilaksana Nugroho

“…The phacoemulsification technique is the latest operative technique for cataract healing but both conventional techniques or phacoemulsification techniques can cause a decrease in tear secretion after cataract surgery. …”
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PANEN RAYA KELAS SEJARAH: AN EXHIBITION-BASED DIFFERENTIATED HISTORY CLASSROOM TO ENHANCE 21ST CENTURY 4C SKILLS by Roro Wilis, Dyah Kumalasari

“…Data validity and validity were obtained through data triangulation techniques and analyzed using an interactive model. …”
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The Effect of the Problem-Based Learning Model Based on the Science, Technology, Engineering, and Mathematics (STEM) Approach on Students' Creative Thinking Ability by Nenni Sara, Pinta Murni, Syamsurizal Syamsurizal

“…The instruments used were an essay test of creative thinking ability and a student response questionnaire toward the Problem-Based Learning Model based on STEM. The initial data analysis techniques used the normality test, homogeneity test, and hypothesis test, while the final data analysis techniques used the N-Gain test and analysis of creative thinking ability data. …”
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An AIoT Architecture for Structural Testing: Application to a Real Aerospace Component (Embraer E2 Model Aircraft Flag Track) by Pablo Venegas, Unai Virto, Isidro Calvo, Oscar Barambones

“…This study presents one AIoT architecture aimed at structurally testing aeronautical applications that ease the integration of AI techniques to interpret the data obtained by wireless IoT devices. …”
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XNODE: A XAI Suite to Understand Neural Ordinary Differential Equations by Cecília Coelho, Maria Fernanda Pires da Costa, Luís L. Ferrás

“…To address this challenge and provide insight into the decision-making process of Neural ODEs, we introduce the eXplainable Neural ODE (XNODE) framework, a suite of eXplainable Artificial Intelligence (XAI) techniques specifically designed for Neural ODEs. Drawing inspiration from classical visualisation methods for differential equations, including time series, state space, and vector field plots, XNODE aims to offer intuitive insights into model behaviour. …”
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Optimizing Student Learning Outcomes Through the Jigsaw Type Cooperative Learning Model Assisted by Mind Mapping Media by I Kadek Nika Antara, I Made Citra Wibawa, Adrianus I Wayan Ilia Yuda Sukmana

“…Data analysis techniques in this study used descriptive statistical analysis techniques and prerequisite test analysis (t-test). …”
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PENGARUH PROMOSI DAN BRAND IMAGE TERHADAP KEPUTUSAN PEMBELIAN PRODUK SCARLETT PADA MARKETPLACE SHOPEE by Suyitno Suyitno, Yulie Wahyuningsih, Laily Agustin

“…Samples were taken based on non-probability sampling with purposive sampling. Data collection techniques using primary data and secondary data. …”
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Introducing a high-throughput energy-efficient anti-collision (HT-EEAC) protocol for RFID systems by Sara El Mattar, Abdennaceur Baghdad

“…It is often described as an industry-changing concept, which is why continuous improvements in the technique of object identification are still needed. …”
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Behavioral patterns relating to thermal comfort and energy consumption by Iounnou Anastasios

“…Repetitive behavioral actions in sensor rich environments, such as the dwellings of the Ecommon measurement campaign, can be observed and categorized into patterns through data mining techniques. These discoveries could form the basis of a model of tenant behavior that could lead to a self-learning automation strategy [16] or better occupancy data to be used for better predictions of building simulation software such as Energy+ or ESP-r and others. …”
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Islamic Religious Education Curriculum Development Based On Multiculturalism in Merdeka Curriculum At Elementary School by Zuri Pamuji, Kholid Mawardi

“…This research is based on a literature study using a descriptive-qualitative method aimed at collecting data through documentation techniques, both in printed and electronic form. …”
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Three-Dimensional Accuracy of Digital Impression versus Conventional Method: Effect of Implant Angulation and Connection Type by Marzieh Alikhasi, Hakime Siadat, Alireza Nasirpour, Mahya Hasanzade

“…Purpose. The aim of this in vitro study was to compare the accuracy of different implant impression techniques of the maxillary full arch with tilted implants of two connection types. …”
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Frontotemporal dementia: a systematic review of artificial intelligence approaches in differential diagnosis by Serena Dattola, Augusto Ielo, Giuseppe Varone, Giuseppe Varone, Alberto Cacciola, Angelo Quartarone, Lilla Bonanno

“…Machine learning (ML) techniques have shown promise in enhancing diagnostic accuracy by identifying complex patterns in clinical and neuroimaging data that are not easily discernible through conventional analysis.MethodsThis systematic review, following PRISMA guidelines and registered in PROSPERO, aimed to assess the strengths and limitations of current ML models used in differentiating FTD from other neurological disorders. …”
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Advanced Hydroponic Nutrient Management Systems for Vertical Farming Efficiency with IoT and Model Predictive Control to Enhance Sustainable Crop Growth by Almusawi Muntather, Hussein Abbas Hameed Abdul, Raju V. Siva Prasada

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Unveiling the silent threat: Investigating asymptomatic plasmodium infections in Gorgora, Ethiopia through microscopy and loop-mediated isothermal amplification. by Tena Cherkos, Adane Derso, Banchamlak Tegegne, Abebe Birhanu, Kassahun Cherkos, Zufan Yiheyis Abreham, Banchayehu Getnet, Tsedenya Gebeyehu, Mulat Yimer, Tegegne Eshetu, Wossenseged Lemma, Aberham Abere, Yalewayker Tegegne, Dylan R Pillai

“…The data were entered into Epi Data version 4.6 and exported to SPSS version 25 for analysis.…”
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Nasal carriage of sequence type 22 MRSA and livestock-associated ST398 clones in Tangier, Morocco by Nadira Mourabit, Abdelhay Arakrak, Mohammed Bakkali, Amin Laglaoui

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A review on NLP zero-shot and few-shot learning: methods and applications by G. Ramesh, Mahammad Sahil, Shashank A. Palan, Darshan Bhandary, Teli Abhishek Ashok, J. Shreyas, N. Sowjanya

“…Looking ahead, this review aims to stimulate further research, fostering a deeper understanding of the complexities and applicability of zero-shot and few-shot learning techniques in NLP. …”
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Strategic scaling initiatives and client networking dynamics for small and medium-sized enterprises growth: a comprehensive case study analysis by Ioannis Christodoulou, Satrio Utomo Putranto, Moustafa Haj Youssef, Aspasia Simillidou, Jana Chovancová

“…Grounded Theory was applied to analyse data, seeking to enrich theoretical frameworks and inform managerial practices in SMEs. …”
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Satellite-Based Detection of Farmland Manuring Using Machine Learning Approaches by David Marzi, Fabio Dell’Acqua

“…The aim of this research is an automated, machine learning (ML)-based approach to detecting manure application on crop fields in time sequences of spaceborne, multi-source optical Earth Observation data. …”
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