Two-step cross-linking method for identification of NF-κB gene network by chromatin immunoprecipitation by David E. Nowak, Bing Tian, Allan R. Brasier

“…We demonstrate that this technique is highly efficient, cross-linking virtually all NF-κB/Rel A into covalent complexes, resulting in quantitative and robust identification of inducible NF-κB family binding to a variety of validated NF-κB-dependent genomic targets. …”
Get full text

Evaluating YOLOv8-Based Distance Estimation: A Comparison of OpenCV and Coordinate Attention Weighting in Blind Navigation Systems by Erwin Syahrudin, Ema Utami, Anggit Dwi Hartanto, Suwanto Raharjo

“…Conclusion: The findings suggest that with proper optimization, OpenCV can match or exceed CAW in key performance aspects, making it a viable and efficient alternative for real-time distance estimation in blind navigation systems. …”
Get full text

Image-Based Shrimp Aquaculture Monitoring by Beatriz Correia, Osvaldo Pacheco, Rui J. M. Rocha, Paulo L. Correia

“…Shrimp farming is a growing industry, and automating certain processes within aquaculture tanks is becoming increasingly important to improve efficiency. This paper proposes an image-based system designed to address four key tasks in an aquaculture tank with <i>Penaeus vannamei</i>: estimating shrimp length and weight, counting shrimps, and evaluating feed pellet food attractiveness. …”
Get full text

Integrated and improved YOLOv8 and triangulated network method for extracting indicators in open-pit mine mining areas by LI Tianwen, LI Gongquan, LI Juntao

“…This enabled precise quantitative monitoring of the mining field's area, volume, and depth. …”
Get full text

Fast and accurate imputation of genotypes from noisy low-coverage sequencing data in bi-parental populations. by Cécile Triay, Alice Boizet, Christopher Fragoso, Anestis Gkanogiannis, Jean-François Rami, Mathias Lorieux

“…NOISYmputer is consistently more efficient than the two other software tested and reaches average breakpoint precision of 99.9% and average recall of 99.6% on illumina simulated dataset. …”
Get full text

Public Procurement Practices and User Satisfaction in Kabale District: A Case Study of Kabale District Local Government. by Kyakunzire, Furumera

“…Both qualitative and quantitative methodologies were used to analyze data as a sample size of 59 respondents was used. …”
Get full text

Tax Reforms and Domestic Revenue mobilization: A case Study of Uganda Revenue Authority Kabale Branch. by Hillary, Niwamanya

“…The study was carried out using both quantitative and qualitative methods. Questionnaires and interviews were used to collect the data. …”
Get full text

Chaotic moving video quality enhancement based on deep in-loop filtering by Tong Tang, Yi Yang, Dapeng Wu, Ruyan Wang, Zhidu Li

“…The in-loop filter in VVC inherits the De-Blocking Filter (DBF) and Sample Adaptive Offset (SAO) of High Efficiency Video Coding (HEVC, H.265), and adds the Adaptive Loop Filter (ALF) to minimize the error between the original sample and the decoded sample. …”
Get full text

The Impact of Natural Resources on the Development of Countries by Mohammad Javad Barbari, Abdolhosain Kalantari, Hosain Raghfar, Gholamreza Ghafari

“…In the present study, qualitative comparative analysis method has been used as a means of quantitative and qualitative research and a powerful tool to analyze the causal complexities. …”
Get full text

Appraisal of thirty-three Customary Land Secretariats in Ghana by Gad Asorwoe Akwensivie

“…The work will enable customary land authorities and the government to better provide safeguards to make the customary land secretariats more effective and efficient.  Data and Methodology: The study employs a case study approach within a Quantitative and Qualitative data analysis paradigm. …”
Get full text

Identifying, categorizing and ranking performance indicators of schools using Q method by Seyed Mahmoud Jalilian, Shahnaz Naibzadeh, seyyed hasan hataminasab, seyed ali almodaresi

“…The research method is applicable in terms of purpose, mixed (qualitative-quantitative) in terms of implementation, and interpretive paradigm. …”
Get full text

kMetha-Mamba: K-means clustering mamba for methane plumes segmentation by Yuquan Liu, Hailiang Shi, Ke Cao, Shichao Wu, Hanhan Ye, Xianhua Wang, Erchang Sun, Yunfei Han, Wei Xiong

“…Monitoring and curbing methane emissions is an important means of slowing global warming. Existing quantitative segmentation methods based on convolutional neural networks (CNNs) and Transformers are limited in their ability to process large-scale remote sensing images. …”
Get full text

Exploration of Predictive Models for Lean Services in Government Lean Banking Industry by Fazel Saydi, Morteza Musa Khani, Sedigheh Tootian, Shahrazad Tayaran

“…In line with this perspective, previous researchers have shown that lean-based approaches can facilitate the efficient and development-oriented growth of the services sector. …”
Get full text

SHIV remission in macaques with early treatment initiation and ultra long-lasting antiviral activity by Michele B. Daly, Chuong Dinh, Angela Holder, Donna Rudolph, Susan Ruone, Alison Swaims-Kohlmeier, George Khalil, Sunita Sharma, James Mitchell, Jillian Condrey, Daniel Kim, Yi Pan, Kelly Curtis, Peter Williams, William Spreen, Walid Heneine, J. Gerardo García-Lerma

Get full text

Empowering personalized oncology: evolution of digital support and visualization tools for molecular tumor boards by Cosima Strantz, Dominik Böhm, Thomas Ganslandt, Melanie Börries, Patrick Metzger, Thomas Pauli, Andreas Blaumeiser, Alexander Scheiter, Ian-Christopher Jung, Jan Christoph, Iryna Manuilova, Konstantin Strauch, Arsenij Ustjanzew, Niklas Reimer, Hauke Busch, Philipp Unberath

“…Nine semi-structured expert interviews complemented quantitative findings through open discussion. Results Using quantitative and qualitative analyses, we show that existing digital tools may improve therapy recommendations and streamline MTB case preparation, while continuous training and system improvements are needed. …”
Get full text

Development of a superheated water chromatography method for the sustainable determination of preservatives in foods and cosmetics by Roberta La Tella, Danilo Donnarumma, Francesca Rigano, Paola Donato, Patrik Appelblad, Paola Dugo, Luigi Mondello, Alice Mondello

“…Hardware modifications were also necessary to guarantee the efficient heating of the mobile phase prior of entering the column, as well as its rapid cooling before detection by photodiode array (PDA). …”
Get full text

A fast monocular 6D pose estimation method for textureless objects based on perceptual hashing and template matching by Jose Moises Araya-Martinez, Jose Moises Araya-Martinez, Vinicius Soares Matthiesen, Vinicius Soares Matthiesen, Simon Bøgh, Jens Lambrecht, Rui Pimentel de Figueiredo

“…Additionally, our algorithm efficiently utilizes all CPU cores and includes adjustable parameters for balancing computation time and accuracy, making it suitable for a wide range of applications where hardware cost and power efficiency are critical. …”
Get full text

Determination of Major and Trace Elements in Geological Samples by Laser Ablation Inductively Coupled Plasma-Mass Spectrometry with Ammonium Fluoride Digestion by Dahui CHEN, Xianli ZENG, Junyi XIE, Zhaochu HU, Yongsheng LIU, Tao LUO, Tao HE, Wen ZHANG

“…Most of the traditional pretreatment techniques are obtained by physical grinding, which has low efficiency and the risk of cross contamination. Therefore, new pre-processing techniques for geological samples need to be proposed to meet the requirements of LA-ICP-MS analysis.OBJECTIVESTo develop a new pre-treatment technology for geological samples and establish a rapid, efficient, green, and environment-friendly LA-ICP-MS elemental quantitative analysis technology.METHODSThe ammonium fluoride (NH4F) was used to digest five rock reference materials (BCR-2, BHVO-2, AGV-2, RGM-2, GSP-2). …”
Get full text

A Jacobi-Collocation Method for Second Kind Volterra Integral Equations with a Smooth Kernel by Hongfeng Guo, Haotao Cai, Xin Zhang

Get full text

FloodNet-Lite: A Lightweight Deep Learning for Flood Mapping Using Remote Sensing Data With Optimized UNet and Edge Deployment Approach in 6G by Puviyarasi Thirugnanasammandamoorthi, Debabrata Ghosh, Ram Kishan Dewangan, Mohammad Kamrul Hasan, Khairul Akram Zainol Ariffin, Huda Saleh Abbas, Hashim Elshafie, Rashid A. Saeed, Ala Eldin Awouda

“…The system integrates an optimized UNet architecture with MobileNetV3 as a backbone, enhanced by depthwise separable convolutions, attention mechanisms, and advanced model compression techniques, such as quantization-aware training and structured pruning. Knowledge distillation transfers learning from a high-capacity teacher model to a compact student model, while self-supervised learning further reduces dependency on labeled data to boost efficiency and robustness. …”
Get full text