Behavioral Coding of Captive African Elephants (<i>Loxodonta africana</i>): Utilizing DeepLabCut and Create ML for Nocturnal Activity Tracking by Silje Marquardsen Lund, Jonas Nielsen, Frej Gammelgård, Maria Gytkjær Nielsen, Trine Hammer Jensen, Cino Pertoldi

“…Further expansion of such models may be desired to create a more capable aid with the possibility of automating behavioral coding.…”
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Tumor-associated long non-coding RNAs show variable expression across diffuse gliomas and effect on cell growth upon silencing in glioblastoma by Joonas Uusi-Mäkelä, Maria Kauppinen, Janne Seppälä, Serafiina Jaatinen, Birgitta Ryback, Tommi Rantapero, Alejandra Rodriguez-Martinez, Matti Nykter, Kirsi J. Rautajoki

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The long non-coding RNA MALAT1 promotes the migration and invasion of hepatocellular carcinoma by sponging miR-204 and releasing SIRT1 by Zhouhua Hou, Xuwen Xu, Ledu Zhou, Xiaoyu Fu, Shuhui Tao, Jiebin Zhou, Deming Tan, Shuiping Liu

“…Increasing evidence supports the significance of long non-coding RNA in cancer development. Several recent studies suggest the oncogenic activity of long non-coding RNA metastasis–associated lung adenocarcinoma transcript 1 (MALAT1) in hepatocellular carcinoma. …”
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Cell-type specific effects of the long non-coding RNA HIF1A-AS3 on HIF1A expression in kidney cells by Simone Reichelt-Wurm, Lena Knauss, Bettina Strasser, Mona Scharf, Kathrin Holler, Elke Eggenhofer, Markus Kretz, Bernhard Banas, Miriam C. Banas

“…Treating HK-2 cells with Actinomycin D revealed a high HIF1A-AS3 RNA stability. In conclusion, our data reveal a cell-type specific effect of HIF1A-AS3 on HIF1A RNA and protein expression which might allow the development of a cell-type specific HIF1A antagonist based on lncRNAs.…”
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Upregulation of long non-coding RNA SNHG11 promotes apoptosis and its molecular mechanisms in human osteosarcoma U2OS cells by Zhibing Dai, Yachao Sun, Maierdanjiang Maihemuti, JunWei Du, Renbing Jiang

“…Combined with protein profiling data, we speculate that SNHG11 may be involved in osteosarcoma progression by binding to SERPINB12 and regulating transcription. …”
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Small and Long Non-Coding RNA Analysis for Human Trophoblast-Derived Extracellular Vesicles and Their Effect on the Transcriptome Profile of Human Neural Progenitor Cells by Jessica A. Kinkade, Pallav Singh, Mohit Verma, Teka Khan, Toshihiko Ezashi, Nathan J. Bivens, R. Michael Roberts, Trupti Joshi, Cheryl S. Rosenfeld

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Effect of AI-based pre-hospital health education via QR code on APAIS scores in patients with breast nodules: A retrospective study by Guozhen Ma, Chuyuan Miao, Pengjun Jiang, Guiqing He, Huiping Li, Yanhui Huang, Huiwen Yu, Tianwen Chen

“…Methods: This retrospective study analyzed the clinical data of 718 breast nodule patients from January to December 2024. …”
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The Lifecycle of Electronic Health Record Data in HIV-Related Big Data Studies: Qualitative Study of Bias Instances and Potential Opportunities for Minimization by Arielle N'Diaye, Shan Qiao, Camryn Garrett, George Khushf, Jiajia Zhang, Xiaoming Li, Bankole Olatosi

“…Data scientists then curate EHR data and health department professionals manage and use the data for surveillance and policy decision-making. …”
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Data Resource Profile: A Guide for Constructing School-to-work Sequence Analysis Trajectories Using the Longitudinal Education Outcomes (LEO) Data by Shivani Sickotra

“…Data processing was tailored to sequence analysis, including reducing the number of activity states and applying a hierarchy to integrate education and employment data. …”
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Pengukuran Kualitas Data Menggunakan Framework Total Data Quality Management: Studi Kasus Kementerian Hukum Dan Hak Asasi Manusia Rutan Klas I Jakarta Pusat by Elin Cahyaningsih, Alip Rinjatmoko, Wina Permana Sari

“…According to research findings, there are two incomplete entities in the completeness dimension—the postal code and the employee card serial number—one invalid entity in the validity dimension—the document number—five inaccurate entities in the accuracy dimension—the document number, address, postal code, mobile phone number, and employee card serial number—and the uniqueness dimension satisfies the requirements for data uniqueness. …”
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Analysis of Whole Transcriptome Sequencing Data: Workflow and Software by In Seok Yang, Sangwoo Kim

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Image Storage in DNA by an Extensible Quaternary Codec System by Ruoying Pang, Yiming Dong, Xin Zhao

“…An ETQ is built on these three key components: (1) dividing image data into B, G, and R color channels for separate encoding and storage, (2) employing quaternary Huffman encoding to map image information directly into nucleotide sequences, and (3) integrating Reed–Solomon error correction codes to enhance data reliability and system extensibility. …”
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Setting the record straight—Correcting uterine cancer incidence and mortality in the Nordic countries by reallocation of unspecified cases by Veli‐Matti Partanen, Sirpa Heinävaara, Ahti Anttila, Jenni Hakkarainen, Stefan Lönnberg

“…To further validate the accuracy of reallocation, we also analyzed how well the reallocation captures the changes occurring as the result of a transition in cause of death coding in Norway that took place in 2005. Material and Methods This study uses data available in the NORDCAN database, which contains aggregated cancer data from all the Nordic countries for the years 1960–2016. …”
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Sparse signal transmission under lossy wireless links based on double process of compressive sensing by Peng SUN, Gui-nan LI, Lian-tao WU, Zhi WANG

“…In resource-limited wireless sensor networks,links with poor quality hinder its large-scale applications seriously.Thanks to the inherent sparse property of signals in WSN,the framework of sparse signal transmission based on double process of compressive sensing was proposed,providing an insight into a new way of real-time,accurate and energy-efficient sparse signal transmission.Firstly,the random packet loss during transmission under lossy wireless links was modeled as a linear dimension-reduced measurement process of CS (a passive process of CS).Then,considering that a large packet was often adopted in WSN for higher transmission efficiency,a random linear dimension-reduced projection (a simple source coding operation) was employed at the sender node (an active process of CS) to prevent block data loss.Now,the raw signal could be recovered from the lossy data at the receiver node using CS reconstruction algorithms.Furtherly,according to the theory of CS reconstruction and the formula of packet reception rate in wireless communication,the minimum compression ratio and the maximum packet length allowed were obtained.Extensive simulations demonstrate that the reliability of data transmission and its accuracy,the data transmission volume,the transmission delay and energy consumption could be greatly optimized by means of proposed method.…”
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Comprehensive Review of Storage Optimization Techniques in Blockchain Systems by Yan Wang, Hao Wang, Yanghuang Cao

“…This paper explores blockchain storage optimization from the perspective of data management, analyzing current techniques such as pruning technique, IPFS optimization, sharding, erasure coding, deduplication, and data compression. …”
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Blind reception for multi-antenna ultra-wideband transmissions by CHENG Xian-tao, ZHU Wei-le

“…A blind linear receiver for multi-antenna impulse radio ultra-wideband（UWB）communication systems was proposed.Without the need of channel information,specific properties of the received data imposed by the precoded space-time block codes（STBC）could be exploited to estimate the coefficients of the receiver,which subsequently recovered the transmitted symbols.Simulations show that,with the increasing of the data block for estimation,the performance of the blind receiver approaches that of the coherent one.…”
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Enhancing computational thinking in preservice elementary math teachers through Design-Based Learning by Pedro Tadeu, Deniz Kaya, Tamer Kutluca

“…Quantitative data were analysed using Multivariate Analysis of Variance (MANOVA) and independent-sample t-tests, while qualitative data were examined through content analysis. …”
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An Algorithm for Smoker Detection by Hiba Youni, Saleem Omar, Mafaz Alwahhab, Enas Mqdad

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Edge-assisted UAV onboard video compression and transmission for efficient inference of patrolling tasks by YANG Peng, LIANG Yuxin, KONG Yuxin, LIU Mingliu

“…To address the challenges from dynamic UAV trajectories and fluctuating network conditions, the RoIs collected by UAVs were properly choosen through an adaptive RoI box selection algorithm, followed by adaptive configuration of quantization parameters (QP) of video codec, in order to further compress the transmitted data volume. A joint optimization problem was thus formulated for RoI box selection and adaptive coding configuration, which was solved via a heuristic algorithm. …”
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Victimization analysis model of user network behavior based on network traffic by Shengli ZHOU, Xiaoyang XU

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