Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach by Tarawneh AS, Al Omari AK, Al-khlifeh EM, Tarawneh FS, Alghamdi M, Alrowaily MA, Alkhazi IS, Hassanat AB

“…Exploring deep learning methods in the future work, could provide insights into more complex patterns within the dataset, potentially improving the accuracy and robustness of the predictions.Keywords: cancer, machine learning, complete blood count, RF model, HGB model…”
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Dynamic changes in the gastrointestinal microbial communities of Gangba sheep and analysis of their functions in plant biomass degradation at high altitude by Xiaozhen Liu, He Ding, Xiaoxue Zhang, Na Ta, Jinmei Zhao, Qian Zhang, Huiyun Liu, Mengjiao Sun, Xiaoqing Zhang

“…Additionally, the catalogue of microbial genomes and the encoded biomass-degrading enzymes identified here provide insights into the potential microbial functions of the gastrointestinal tract of Gangba sheep at high altitudes. …”
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Zenith Tropospheric Delay Forecasting in the European Region Using the Informer–Long Short-Term Memory Networks Hybrid Prediction Model by Zhengdao Yuan, Xu Lin, Yashi Xu, Jie Zhao, Nage Du, Xiaolong Cai, Mengkui Li

“…Developing a high-precision, long-term forecasting model for ZTD can provide valuable insights into the overall trends of predicted ZTD, which is essential for improving GNSS positioning and analyzing changes in regional climate and water vapor. …”
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South African Open Distance Elearning Student: The Types, Effectiveness, and Preference of Feedback Support by Morakinyo Akintolu, Mohamed Ahmed Mitwally, Moeketsi Letseka

“…The findings suggest that effective feedback mechanisms are crucial in ODeL environments, providing actionable insights for educators to optimise their feedback strategies. …”
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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

“…Presenting empirical results from our experiments offers practical insights into choosing the most suitable preprocessing techniques and deep learning models for various types of medical images. …”
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A bacterial membrane-disrupting protein stimulates animal metamorphosis by Kyle E. Malter, Tiffany L. Dunbar, Carl Westin, Emily Darin, Josefa Rivera Alfaro, Nicholas J. Shikuma

“…This work reveals a potential strategy used by marine organisms to respond to microbial cues, which could inform efforts in coral reef restoration and biofouling prevention. The study’s insights into metamorphosis-associated contractile structures’ delivery of protein effectors to specific anatomical locations highlight prospects for future biomedical and environmental applications.…”
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The Landbound Chicken and the Deliberate Chameleon yet have their Uses: Yorùbá Art History, Language, and Interpretation. by Kathy Curnow

“…Language mastery certainly provides the native speaker with access to inestimable insights regarding not only general worldview, but specifics of philosophy, history keeping, and subtleties of knowledge transmission. …”
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Light People: Prof. Henry Snaith’s (FRS) perovskite optoelectronics journey by Ruidong Xia, Ying Hu

“…On 5th September 2024, Oxford PV announced the world’s first commercial sale of next-generation perovskite tandem solar panels, which generate up to 20% more energy than a standard silicon panel. In an insightful conversation with Light: Science & Applications, Prof. …”
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Exploring MAP3K genes in gastric cancer: biomarkers, tumor microenvironment dynamics, and chemotherapy resistance by Senhui Wei, Ying Li, Jing Zhou, Yongming Xia

“…Conclusion This comprehensive assessment provides valuable insights into the role of MAP3K genes in GC, offering avenues for further research and therapeutic exploration.…”
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Smokeless tobacco: knowledge, attitudes and usage in Pakistan by Hammad Atif Irshad, Sajjan Raja, Hamzah Jehanzeb, Wamiq Ali Shaikh, Umair Saleem, Shahzil Abdur Rehman Malik, Akmal Shahzad, Mamoon Shaikh, Nousheen Iqbal, Javaid Ahmed Khan

“…Conclusions Although adequate knowledge and aligning attitudes exist for SLTs, light is shed in the face of a sustaining public health problem. We offer important insights that can guide the creation of focused interventions meant to lower SLT use, and the health hazards associated with it in the Pakistani community by highlighting important myths, incentives, and deterrents.…”
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Comparative analysis of Sentinel-2 and PlanetScope imagery for chlorophyll-a prediction using machine learning models by Eden T. Wasehun, Leila Hashemi Beni, Courtney A. Di Vittorio, Christopher M. Zarzar, Kyana R.L. Young

“…This study contributes valuable insights into the difference between two satellite sensors with varying spatial resolution in assessing inland water quality and offers a comparative analysis of multiple inversion methods. …”
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Cloud-edge hybrid deep learning framework for scalable IoT resource optimization by Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Anjani Kumar Rai, S. M. Padmaja, Khan Vajid Nabilal, Vimal Kumar, Roobaea Alroobaea, Hamed Alsufyani

“…Abstract In the dynamic environment of the Internet of Things (IoT), edge and cloud computing play critical roles in analysing and storing data from numerous connected devices to produce valuable insights. Efficient resource allocation and workload distribution are vital to ensuring continuous and reliable service in growing IoT ecosystems with increasing data volumes and changing application demands. …”
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South African Open Distance Elearning Student: The Types, Effectiveness, and Preference of Feedback Support by Morakinyo Akintolu, Mohamed Ahmed Mitwally, Moeketsi Letseka

“…The findings suggest that effective feedback mechanisms are crucial in ODeL environments, providing actionable insights for educators to optimise their feedback strategies. …”
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ELAVL1‐dependent SOAT2 exacerbated the pancreatitis‐like cellular injury of AR42J cells induced by hyperstimulation with caerulein by Yu‐Jing Sun, Hua‐Ying Chen, Xiao‐Qin Lai

“…These findings provide new insights into the molecular mechanisms underlying pancreatitis and offer potential therapeutic targets for the treatment of this condition.…”
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Comprehensive approach to predictive analysis and anomaly detection for road crash fatalities by Chopparapu Gowthami, S. Kavitha

“…The research offers policymakers, transportation authorities, and safety advocates practical insights by utilizing sophisticated machine-learning algorithms and integrating multiple datasets. …”
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Co-modulation of a circular form of PCDH11Y during neuroendocrine differentiation of prostate cancer by Giovanni Pecoraro, Ilaria Leone, Silvia Nuzzo, Santiago Negueruela, Giovanni Smaldone, Lorena Buono

“…DiscussionThese findings highlight circPCDH11Y as a promising candidate for early detection of t-NEPC and provide new insights into the molecular mechanisms underlying prostate cancer progression. …”
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A comprehensive analysis of molecular characteristics of hot and cold tumor of gastric cancer by Chenxi Lv, Tianwei Chen, Jiangtao Li, Yuqiang Shan, Hong Zhou

“…This finding provided valuable insights into the molecular mechanisms of tumor immunity in GC, offering potential avenues for targeted therapeutic interventions.…”
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Stage-specific milk yield losses and associated sweating, respiration, and rectal temperature responses under varying temperature-humidity index thresholds in lactating and dry cow... by P.A. Tu, Y.H. Yeh, Y.H. Chen, J.W. Shiau, T.Y. Lin, Thomas Banhazi, M.K. Yang

“…Taken together, these findings provide valuable insights into how HS can be mitigated in subtropical dairy farms. …”
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Physiological and transcriptome analysis reveals the mechanism of Gymnocarpos przewalskii response to drought stress by Chao Du, Xinyu Ni, Mengjiao Yan, Qinghan Meng, Junying He

“…This study provides new insights into the forage quality and the mechanisms involved in drought adaptation of G. przewalskii, offering a foundation for its conservation and sustainable utilization.…”
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A data-driven machine learning algorithm to predict the effectiveness of inulin intervention against type II diabetes by Shuheng Yang, Ralf Weiskirchen, Wenjing Zheng, Xiangxu Hu, Aibiao Zou, Zhiguo Liu, Hualin Wang

“…This offers valuable insights for researchers in this field.…”
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