EFEKTIVITAS SKARIFIKASI DAN SUHU PERENDAMAN TERHADAP PERKECAMBAHAN BIJI KEPEL [Stelechocarpus burahol (Blume) Hook. F & Thompson] SECARA IN VITRO DAN EX VITRO by E Isnaeni, NA Habibah

“…Parameter yang diukur adalah waktu munculnya kecambah, persentase perkecambahan, panjang radikula dan jumlah cabang akar. Analisis data menggunakan ANAVA tiga jalan dan jika data signifikan dilakukan uji lanjut DMRT. …”
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Meta-analysis and systematic review of the outcome of reparative strategies for the treatment of deep joint defects of the knee in adult patients by Pieter Berger, Luis F. Mendes, Pieter J. Emans, Roel J.H. Custers, Frank P. Luyten

“…The review assessed descriptive data, clinical outcomes, and failure rates of the included studies. …”
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A Review of the Evaluation, Simulation, and Control of the Air Conditioning System in a Nuclear Power Plant by Seyed Majid Bigonah Ghalehsari, Jiaming Wang, Tianyi Zhao

“…Intelligent sensor networks allow a more data-driven approach to HVAC control, enabling online energy management frameworks and advanced intelligent control systems. …”
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Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data by Fuyong Wang, Xianmu Hou

“…This study explores the application of machine learning techniques for predicting permeability, porosity, and flow zone indicator (FZI) in carbonate reservoirs using well log data, aiming to overcome the limitations of traditional empirical methods. …”
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Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing by Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei

“…The novelty lies in its comprehensive assessment of these methods in the context of data-driven marketing, aiming to enhance both academic understanding and practical applications in financial technology. …”
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Reliability of an Inertial Measurement System Applied to the Technical Assessment of Forehand and Serve in Amateur Tennis Players by Lucio Caprioli, Cristian Romagnoli, Francesca Campoli, Saeid Edriss, Elvira Padua, Vincenzo Bonaiuto, Giuseppe Annino

“…Traditional methods for evaluating tennis technique, such as visual observation and video analysis, are often subjective and time consuming. …”
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Sequential Rod Rolling for Surgical Correction of Lenke Type 2 Adolescent Idiopathic Scoliosis: A 3D Analysis by Jérémie Nallet, Brett Rocos, David Eduard Lebel, Wafa Skalli, Reinhard Zeller, Rajendra Sakhrekar

“…The aim of this investigation is to describe the technique, its indications, the rotational correction achieved, and the complications observed when it is used in the treatment of severe pediatric AIS. …”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…The Proposed work introduced an innovative Steganography approach for medical image data by embedding Audio files aiming to addresses this research gap. …”
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A Hybrid Algorithm with a Data Augmentation Method to Enhance the Performance of the Zero-Inflated Bernoulli Model by Chih-Jen Su, I-Fei Chen, Tzong-Ru Tsai, Yuhlong Lio

“…Additionally, the synthesized minority oversampling technique is employed for data augmentation and training the model. …”
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Enhancing stroke risk prediction through class balancing and data augmentation with CBDA-ResNet50 by Muhammad Asim Saleem, Ashir Javeed, Wasan Akarathanawat, Aurauma Chutinet, Nijasri Charnnarong Suwanwela, Pasu Kaewplung, Surachai Chaitusaney, Watit Benjapolakul

“…This shows that we can make more reliable predictions by combining modern deep-learning models with advanced data-processing techniques. CBDA-ResNet50 has the potential to be a model for early stroke prevention, aiming to improve patient outcomes and reduce healthcare costs.…”
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Refining Established Practices for Research Question Definition to Foster Interdisciplinary Research Skills in a Digital Age: Consensus Study With Nominal Group Technique by Jana Sedlakova, Mina Stanikić, Felix Gille, Jürgen Bernard, Andrea B Horn, Markus Wolf, Christina Haag, Joel Floris, Gabriela Morgenshtern, Gerold Schneider, Aleksandra Zumbrunn Wojczyńska, Corine Mouton Dorey, Dominik Alois Ettlin, Daniel Gero, Thomas Friemel, Ziyuan Lu, Kimon Papadopoulos, Sonja Schläpfer, Ning Wang, Viktor von Wyl

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Development of a Post-Processing Procedure to Characterize Damage in Hybrid Natural Woven Composites Subjected to Low-Velocity Impact by Means of Thermography Techniques by Tiziana Matarrese, Claudia Sergi, Davide Palumbo, Fabrizio Sarasini, Umberto Galietti

“…However, in recent years, the main works on thermographic techniques have focused on processing the raw data with the aim of increasing the signal-to-noise ratio and the probability of damage detection. …”
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Environmental Monitoring Smart System with Self-Sustaining Wireless Sensor Network Using Data Validation Algorithms by Kanwal T., Altaf S., Javed M. K.

“…A comparison with the existing algorithm shows that the proposed algorithm improved data validation by 97 % in detecting multiple data faults using Artificial Intelligence techniques.…”
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Urban Change Detection in Tirana, Albania (2000–2025) Using Remote Sensing and Open Geospatial Data by L. Haxhiu, B. Aliaj

“…This study examines the spatial and temporal dynamics of urban change in Tirana over the last 25 years by leveraging multi-temporal satellite imagery and open geospatial data to map and assess land cover transitions. The analysis utilizes freely available Landsat and Sentinel-2 satellite images acquired at multiple intervals, aiming for regular coverage throughout the period. …”
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A scoping review and quality assessment of machine learning techniques in identifying maternal risk factors during the peripartum phase for adverse child development. by Hsing-Fen Tu, Larissa Zierow, Mattias Lennartsson, Sascha Schweitzer

“…A critical appraisal was also conducted to evaluate various aspects, including representativeness, data leakage, validation, performance metrics, and interpretability. …”
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Assessing Pancreatic Fat and Its Correlation with Liver Fat in Suspected MASLD Patients Using Advanced Deep Learning Techniques from MRI Images by Hay Ching Cherrie Fung, Juan Pablo Meneses, Nirusha Surendran, Numan Kutaiba, Yasmeen George, Enes Makalic, Sergio Uribe

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Comparison of Scrotal Hitch Technique and Conventional Scrotal Dressing in Reducing the Postoperative Scrotal Oedema in Inguinoscrotal Surgeries: A Non Randomised Clinical Study by Balaji Rajavarman, Manigandan Raju, Umesh Raj Somasundaram, AS Sangeethapriya

“…Scrotal oedema is one of the complications following the surgery, which increases the patient’s morbidity. Aim: To evaluate the effectiveness of the scrotal hitch technique in preventing scrotal oedema and postoperative pain after inguinal and scrotal surgeries compared to conventional scrotal dressing. …”
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Translational analysis of data science and causal learning in real-world clinical evaluation of traditional Chinese medicine by Wei Yang, Danhui Yi, XiaoHua Zhou, Yuanming Leng

“…The study explored data science and causal learning methods to transform RWD into reliable real-world evidence, aiming to provide an innovative approach for RWCE-TCM. …”
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Variations in bone mineral density after joint replacement: A systematic review examining different anatomical regions, fixation techniques and implant design by Domenico Alesi, Raffaele Zinno, Maria Scoppolini Massini, Giuseppe Barone, Davide Valente, Erika Pinelli, Stefano Zaffagnini, Agostino Igor Mirulla, Laura Bragonzoni

“…Abstract Purpose This study aims to evaluate postoperative periprosthetic bone mineral density (BMD) at various time points following joint replacement with different implant designs and fixation techniques. …”
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New Emerging and Comprehensive Land Mapping Unit at Detailed Scale: Integrating Random Forest Analysis and Remote Sensing Techniques for Sustainable Land Management by Aditya Nugraha Putra, Reni Ustiatik, Novandi Rizky Prasetya, Erza Aulia Adara, Istika Nita, Syamsu Ridzal Indra Hadi, Soemarno Soemarno, Sudarto Sudarto, Sri Rahayu Utami, Mochammad Munir, Mochtar Lutfi Rayes

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