The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…Bayesian estimators for the parameters and reliability functions (survival and hazard rate) are derived using gamma priors and both symmetric and asymmetric loss functions. …”
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HEE-SegGAN: A holistically-nested edge enhanced GAN for pulmonary nodule segmentation. by Yong Wang, Seri Mastura Mustaza, Mohammad Syuhaimi Ab-Rahman, Siti Salasiah Mokri

“…To mitigate mode collapse, we incorporated minibatch discrimination in the discriminator, encouraging diversity in the generated samples. We also improved the loss function to better capture edge-level details and enhance segmentation precision in edge regions. …”
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Evaluating the level of digitalization of the innovation process with artificial intelligence approach in the digital transformation of knowledge-based companies by ali Bagheri, reza radfar, sepehr ghazinoory

“…In this method, the number of membership functions is 5 functions representing very low, low, medium, high and very high. …”
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Strategies for Construction and Optimization of the Ecological Security Pattern for Human Settlements in the Wuding River Basin by Xiaomeng WANG, Anrong DANG, Biao TONG, Xinyi LIU

“…These ecological sources are predominantly concentrated in the southeastern region, where arboreal forests play a crucial role in maintaining ecological functions. In contrast, the southwestern region exhibits a more fragmented distribution of ecological sources, highlighting the need for targeted restoration efforts to improve connectivity. …”
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Temperature compensated crystal oscillator design in Keysight ADS by A. N. Lyashuk, A. V. Kosykh

“…The article proposes an all-embracing approach to designing a temperature compensated crystal oscillator in Keysight ADS CAD system, which allows: to investigate the conditions for the occurrence of self-oscillations in a given oscillator circuit; analyze the temperature-frequency characteristics of the resonator; form requirements for the frequency control function; simulate noise characteristics of the generator; optimize the circuit according to the given parameters. …”
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The comparative effects of injecting intra-articular platelet-rich plasma and hypertonic dextrose prolotherapy in osteoarthritis knee - A randomized control trial by Neeraj Singh, Anil K. Gupta, Dileep Kumar, Sudhir Mishra, Ganesh Yadav, Shreya Singh

“…Result: Overall, the baseline to 6 weeks change of LKI-Pain in group I (PRP) was significantly more than the group II (DEXTROSE) (P < 0.001). On considering the parameter of LKI-Pain at baseline and 6 weeks for PRP and Dextrose, it was found that in Group I, the mean ± SD reduced more at 6 weeks from 4.81 ± 1.55 to 2.44 ± 1.76 as compared to participants in Group II with 4.83 ± 1.17 at baseline to 6 weeks 3.64 ± 0.98, LKI-Activities of Daily Living (ADL) for group I PRP the Mean ± SD score dropped more from 4.66 ± 1.40 to 2.95 ± 1.35 whereas for group II Dextrose the Mean ± SD score dropped from 4.68 ± 1.40 to 3.65 ± 1.51 at baseline and 6 week respectively and At baseline, the mean LKI-Total score in group I was 12.85 ± 3.59 while in group II the mean score was 13.11 ± 3.15. …”
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Time Series Anomaly Detection Using Transformer-Based GAN With Two-Step Masking by Ah-Hyung Shin, Seong Tae Kim, Gyeong-Moon Park

“…Time series anomaly detection is a task that determines whether an unseen signal is normal or abnormal, and it is a crucial function in various real-world applications. Typical approach is to learn normal data representation using generative models, like Generative Adversarial Network (GAN), to discriminate between normal and abnormal signals. …”
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Beyond nutritional immunity: immune-stressing challenges basic paradigms of immunometabolism and immunology by Edmund K. LeGrand

“…Pathogens have the well-known advantage of rapid evolution due to short generation times and large populations. However, pathogens have the rarely noted disadvantage of the vulnerability to stress involved in proliferation as well as being localized. …”
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Graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion by Xu Li, Xinlong Wang, Chunlong Yao, Yang Li

“…Additionally, they often use short texts with few available features, making the analysis more challenging. To this end, this paper proposes a generative model for graph-enhanced implicit aspect-level sentiment analysis based on multi-prompt fusion. …”
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SCUC Considering Loads and Wind Power Forecasting Uncertainties using Binary Gray Wolf Optimization Method by Majid Moazzami, Sayed Jamal Al-Din Hosseini, Hossein Shahinzadeh, Gevork B. Gharehpetian, Jalal Moradi

“…Recently, the renewable resources such as wind farms assumed more attraction due to their features of being clean, no dependency to any type of fuel and having a low marginal cost. …”
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Cell-Free DNA (cfDNA) Regulates Metabolic Remodeling in the ES-2 Ovarian Carcinoma Cell Line, Influencing Cell Proliferation, Quiescence, and Chemoresistance in a Cell-of-Origin-Sp... by Isabel Lemos, Catarina Freitas-Dias, Ana Hipólito, José Ramalho, Fabrizio Carteni, Luís G. Gonçalves, Stefano Mazzoleni, Jacinta Serpa

“…We observed instant reactions of adopting the metabolic profile that brings back the cell functioning of more favorable culture conditions supporting proliferation and resembling the cell of origin of the cfDNA variant, as observed in unselected ES-2 cells. …”
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Prevalence of Extended-Spectrum β-Lactamase-Producing <i>Escherichia coli</i>, <i>Klebsiella pneumoniae</i> and <i>Enterobacter cloacae</i> in Wastewater Effluent in Blantyre, Mala... by Edna Ibrahim, Charity Mkwanda, Edward Masoambeta, Luigia Scudeller, Tomislav Kostyanev, Hussein H. Twabi, Yohane K. Diness, Jobiba Chinkhumba, Janelisa Musaya, Rajhab S. Mkakosya, Surbhi Malhotra-Kumar, Chantal M. Morel, Save Kumwenda, Chisomo L. Msefula

“…<b>Results</b>: A total of 288 samples were collected between April 2023 and March 2024, and 97.6% (281/288) yielded one or more presumptive ESBL isolates. Bacterial growth was confirmed as 48.9% <i>Ec</i> (255/522), 33.0% <i>Kp</i> (172/522), and 10.0% <i>Enc</i> (52/522). …”
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Development and validation of a disulfidptosis-related genes signature for predicting outcomes and immunotherapy in acute myeloid leukemia by Han Gong, Han Gong, Ying Zhang, Xusheng Wu, Yiming Pan, Yiming Pan, Mingwei Wang, Mingwei Wang, Xiaofeng He, Jing Liu, Zhong Liu, Zhong Liu, Ling Li

“…Moreover, experiments validated the functions of PTPN6 and CSK in OCI-AML2 cells.ResultsWe identified 10 prognostic DRGs and revealed two disulfidptosis subtypes. …”
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Profiling of the Predicted Circular RNAs in Ductal In Situ and Invasive Breast Cancer: A Pilot Study by Marco Galasso, Giorgio Costantino, Lorenzo Pasquali, Linda Minotti, Federica Baldassari, Fabio Corrà, Chiara Agnoletto, Stefano Volinia

“…The recent advantage obtained by next generation sequencing allows a depth investigation of a new “old” kind of noncoding transcript, the circular RNAs. …”
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<p><strong>Analysis of the reproductive viability of <em>Varroa destructor</em> (Mesostigmata: Varroidae) rearing under laboratory conditions</strong></p> by Jesús Humberto Reyna-Fuentes, Cecilia Carmela Zapata Campos, Fabian Eliseo Olazarán Santibanez, José Octavio Merino Charrez, Daniel López Aguirre

“…All data were analyzed using generalized linear mixed models implemented in Proc GLIMMIX using the binary distribution function with the default logit link function. For both treatments (capsule with 1 and 2 mother mites), a significant effect was shown for the mean number of broods (p < 0.0001). …”
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An Experimental Comparison of Self-Adaptive Differential Evolution Algorithms to Induce Oblique Decision Trees by Rafael Rivera-López, Efrén Mezura-Montes, Juana Canul-Reich, Marco-Antonio Cruz-Chávez

“…Our proposal includes (1) an alternative initialization strategy that reduces redundant nodes and (2) a fitness function that penalizes excessive leaf nodes, promoting smaller and more accurate decision trees. …”
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Single-cell chromatin accessibility landscape profiling reveals the diversity of epigenetic regulation in the rat nervous system by Peiyao Ma, Shanshan Duan, Wen Ma, Qiuting Deng, Yeya Yu, Peng Gao, Yue Yuan, Chuanyu Liu

“…Single-cell sequencing can provide information on cell-type-specific chromatin structure and regulatory elements, revealing differences in chromatin organization between different cell types and their potential roles of these differences in brain function. Here, we generated a chromatin accessibility dataset through single-cell ATAC-seq of 174,593 high-quality nuclei from 16 adult rat brain regions. …”
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The Chemical Yields of Stars in the Mass Range 9–15 M⊙ by Marco Limongi, Lorenzo Roberti, Agnese Falla, Alessandro Chieffi, Ken’ichi Nomoto

“…We find that: (1) the yields of the intermediate mass elements (i.e., O to P) show a steep decrease as the initial mass decreases; (2) the yields of s -weak components, i.e., those produced by the slow neutron captures from Ga to to the first neutron closure shell, decrease almost linearly as a function of the initial mass with respect to the ones produced by the more massive stars; and (3) the global contribution of the stars in the mass range 9.22−13 M _⊙ to the yields of a generation of massive stars averaged over a standard initial mass function is negligible for essentially all the isotopes. …”
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IMDM-20 enhances neutrophilic features during 1.3 % DMSO-mediated differentiation of HL-60 cells by Jorge Andrés Cázares-Preciado, José Antonio Cruz-Cárdenas, Alejandra López-Arredondo, Marco V. Gallardo-Camarena, Marion E.G. Brunck

“…Multiple differentiation protocols have been reported to generate neutrophil-like HL-60 cells, with limited consideration of how methodological variations might influence cell identity and functions. …”
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Low-Rank Representation and Data Compression of Full-Field Displacement Maps for Structural Modal Analysis and Damage Identification by Yankun Li, Yu Huang, Ziguang Li, Zhiping Yin, Shancheng Cao

“…For the purpose of resolving those issues, a complete method is proposed, consisting of (1) an adaptive kernel function construction method for low-rank-representing the full-field displacement maps while retaining both global and local shape features, (2) an enhanced frequency domain decomposition approach for noise-robust mode shape estimation based on the kernel functions, and (3) extracting and fusing local shape features of multiple mode shapes for more accurate damage localization. …”
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