Scientific criticism of “DNA criminal investigation – DNA database, mandatory DNA collection and time limit for data retention” - Notes on the unconstitutionality of Law 12.654/201... by Rodrigo Grazinoli Garrido

“…This scientific criticism was based on what was proposed by the article “DNA criminal investigation – DNA database, mandatory DNA collection and time limit for data retention” - Notes on the unconstitutionality of Law 12.654/2012”, in the search to offer doctrinal and empirical evidences that allowed to expand the academic dialogue on the implantation of the National Database of Genetic Profiles (BNPG). …”
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The application of non-enhanced magnetic resonance thoracic ductography combined with magnetic resonance abdominopelvic scanning in the diagnosis of chylous leakage of the female r... by Meng Huo, Chunyan Zhang, Ling Li, Jianfeng Xin, Xingpeng Li, Yimeng Zhang, Mingxia Zhang, Ying Sun, Lei Sun, Rengui Wang, Yunlong Yue

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Sodium glucose co-transporter 2 inhibitors and cardiovascular event protections: how applicable are clinical trials and observational studies to real-world patients? by Ming-Jui Hung, Edward Chia-Cheng Lai, Shih-Chieh Shao, Yi-Han Lin, Kai-Cheng Chang, Yuk-Ying Chan, Yea-Huei Kao Yang

“…We compared the patient characteristics with SGLT2i to examine the data representativeness of clinical trials and to evaluate channeling uses between canagliflozin, dapagliflozin and empagliflozin.Results We identified a cohort of 11 650 patients newly initiating SGLT2i, 49.9% of whom received empagliflozin. …”
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A Fusion of Deep Learning and Time Series Regression for Flood Forecasting: An Application to the Ratnapura Area Based on the Kalu River Basin in Sri Lanka by Shanthi Saubhagya, Chandima Tilakaratne, Pemantha Lakraj, Musa Mammadov

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Evaluation of an Electronic Application for Enhancing Medication Adherence Among Hypertensive Patients: A Qualitative Research Based on Consolidated Framework for Implementation Re... by Sichen Wang, Junjie Huang, Apurva Sawhney, Xianjing Liu, Chaoying Zhong, Jianli Lin, Junjie Hang, Claire Chenwen Zhong, Jinqiu Yuan, Martin C. S. Wong

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Characterization and Potential Application of Phage vB_PmuM_CFP3 for Phage Therapy Against Avian <i>Pasteurella multocida</i> by Hongmei Chen, Nansong Jiang, Guanghua Fu, Qiuling Fu, Chunhe Wan, Yu Huang, Yuan Liu, Rongchang Liu, Qizhang Liang, Longfei Cheng

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Ab-Initio investigation of the structural, electronic, mechanical, thermophysical, and optical properties of the Zintl-phase K₂AgSb ternary compound for optoelectronic applications... by John Peter Kachira, Robinson Musembi, Francis Nyongesa, Mwende Mbilo, Martin Nyamunga, Ibrahim Musanyi

“…However, ML predicted the smallest band gap (0.94 eV), which may be due to limitations in the training data, systematic biases, or an inability to fully capture material-specific electronic structure corrections. …”
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Enhancing the structural and optoelectronic properties of carboxymethyl cellulose sodium filled with ZnO/GO and CuO/GO nanocomposites for antimicrobial packaging applications by Rania Badry, Noha M. Sabry, Medhat A. Ibrahim

“…The zones of inhibition data showed that both CMC/ZnO/GO and CMC/CuO/GO exhibited higher antibacterial activity than CMC alone, particularly against S. aureus. …”
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Cloning and Expression of a Truncated Form of the p72 Protein of the African Swine Fever Virus (ASFV) for Application in an Efficient Indirect ELISA System by Julieta Sandra Cuevas-Romero, Perla Lucero Zavala-Ocampo, Sonia Pina-Pedrero, Llilianne Ganges, Adriana Muñoz-Aguilera, José Bryan García-Cambrón, Fernando Rodriguez, Aruna Ambagala, José Luis Cerriteño-Sánchez

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Application value of transrectal contrast-enhanced ultrasound combined with magnetic resonance imaging in T staging and treatment decision-making for middle and low rectal cancer by ZHAO Ran, ZHAN Weiwei, LI Cheng, TANG Hailang, BO Yulian, LIU Kun

“…Method AA retrospective analysis was conducted on the case data of 80 consecutive patients with middle and low rectal cancer admitted to the hospital from April 2023 to February 2025. …”
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Multidisciplinary lifestyle management approach in patients with type 2 diabetes mellitus in real clinical practice. Results of application “Life is easy” programme in Russia by Svetlana I. Motkova, Larisa V. Savelyeva, Larisa M. Rudina, Maria V. Gurkina, Elena V. Surkova, Farida V. Valeeva, Gagik R. Galstyan, Marina V. Shestakova

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Trade-off between cost and performance of earth observation data in olive trees health assessment: Digital crop mapping approach using machine learning algorithms by Yassine Bouslihim, Abdelkrim Bouasria, Aicha Rochdi, El Bachir El Haissen, Dénes Loczy, Zoltan Orban, Ali Salem

“…Furthermore, all data and scripts used in this study are provided for reproducibility and transparency.…”
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Effective synthesis and application of artichoke and orange peels-based bio-sorbents for Ketoprofen removal from wastewater: Process optimization using Factorial methodology by Amel Khalfaoui, Abderrezzaq Benalia, Zakaria Laggoun, Raouf Bouchareb, Imane Zaamta, Rania Melloul, Amina Menasria, Slimane Merouani, Antonio Pizzi, Kerroum Derbal

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Development of a zoonotic influenza distribution assessment and ranking system (ZIDAR): Technical application in Nepal to support cross-sectoral risk-based surveillance by Adam Charette-Castonguay, Dipendra Gautam, Binay Shrestha, Hemant Chandra Ojha, Barun Kumar Sharma, Mukul Upadhayaya, Sujan Rana, Roshika Shrestha, Lok Bandu Chaudhary, Bhawana Kandel, Rudra Prasad Marasini, Sharmila Chapagain, Tulsi Ram Gompo, Surendra Karki, Apsara Poudel, Saugat Shrestha, Avinash Sunny Kayastha, Arun Kumar Govindakarnavar, Reuben Samuel, Allison Gocotano, Pushpa Ranjan Wijesinghe, Nilesh Buddha, Edwin Ceniza Salvador, Manish Kakkar, Ricardo J. Soares Magalhães

“…This is then followed by a technical phase involving model building, model structure validation, data gathering and assessment of model performance. …”
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Examining Share plus—A Continuous Glucose Monitoring Plus Data-Sharing Intervention in Older Adults and Their Care Partners: Protocol for a Randomized Control Study by Nancy A Allen, Cynthia A Berg, Eli Iacob, Bruno Rodriguez Gonzales, Jonathan E Butner, Michelle L Litchman

“…This research has implications for CGM data sharing in other age groups with T1D and type 2 diabetes. …”
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How do users of a mental health app conceptualise digital therapeutic alliance? A qualitative study using the framework approach by Theresa Taylor, Simon D’Alfonso, Maria João Tralhão Dolan, Jenny Yiend, Pamela Jacobsen

“…Abstract Background Self-guided mental health smartphone applications (apps) have the potential to increase access to evidence-based psychological interventions and reduce the burden on staff resources in strained mental health services. …”
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A Practical Implementation of Post-Quantum Cryptography for Secure Wireless Communication by Babatunde Ojetunde, Takuya Kurihara, Kazuto Yano, Toshikazu Sakano, Hiroyuki Yokoyama

“…Notably, the PQC–AES hybrid protocol demonstrates greater efficiency for applications handling larger data volumes (e.g., 10–100 KB) with reduced latency, underscoring the practical necessity of carefully balancing security and operational efficiency in the post-quantum migration process.…”
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Coordinating in situ lake sampling with satellite acquisition days provides a mechanism for addressing data scarcity: a case study from Lake Yojoa, Honduras by Jemma Fadum, Bethel Steele, Matthew Ross, Mia Groff, Ed Hall

“…Results The machine learning model had good (R2= 0.57) agreement and reasonable uncertainty (MAE = 0.58 m) between remotely estimated and in situ observed Secchi depth. Application of the machine learning model increased the monitoring record of Lake Yojoa from 6 years of measured data to a 23-year record. …”
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Remoção de erros em mapas de produtividade via filtragem de dados brutos Removal of errors in yield maps through raw data filtering by Leonardo A. A. Menegatti, José P. Molin

“…A geostatistical analysis of the data sets showed that the application of the filtering process decreased the nugget effect and improved the cross validation quality index.…”
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Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations by Onur Vural, Shah Muhammad Hamdi, Soukaina Filali Boubrahimi

“…In response, leveraging machine learning techniques for predicting solar flares has emerged as a significant application within the realm of data science, relying on sensor data collected from solar active region photospheric magnetic fields by space- and ground-based observatories. …”
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