Geographical patterns of intraspecific genetic diversity reflect the adaptive potential of the coral Pocillopora damicornis species complex. by M Carr, C Kratochwill, T Daly-Engel, T Crombie, R van Woesik

“…Marine heatwaves are increasing in intensity and frequency however, responses and survival of reef corals vary geographically. Geographical differences in thermal tolerance may be in part a consequence of intraspecific diversity, where high-diversity localities are more likely to support heat-tolerant alleles that promote survival through thermal stress. …”
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A Detection Method Against Load Redistribution Attacks in the Interdependence of the Natural Gas Network and Power System Based on Entropy by Yaoying Wang

“…Instead of relying on deep learning algorithms, this study leverages entropy-based techniques for attack detection. …”
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Experimental Study on Dynamic Characteristics of Annular Coal Mine Sandstone after Different Temperatures by Qi Ping, Yulin Wu, Qi Gao, Shuo Wang, Kaifan Shen, Chen Wang, Xiangyang Li

“…Many rock engineering involves rock mass excavation, and the temperature of deep rock mass increases with the depth rising. The study on the dynamic mechanical properties of annular coal mine sandstone under different temperatures has important guiding significance for mine excavation and rock engineering design and construction. …”
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Maximizing the neuroprotection from Citrus aurantium leaves: Optimization of a blended extract from a sequential extraction process with compressed fluids and NADES by Victor M. Amador-Luna, Miguel Herrero, Marta Jiménez de la Parra, Ángel Gómez Arribas, Elena Ibáñez, Lidia Montero

“…Considering the wide variety of bioactive compounds present in the leaves (carotenoids, terpenes and phenolic compounds), this study is focused on the valorization of C. aurantium pruning waste through a sequential three-step extraction process using green extraction techniques, i.e. supercritical fluid extraction (SFE), followed by pressurized liquid extraction (PLE) using natural deep eutectic solvents (NADES), and an antisolvent extraction to recover the remaining bioactive compounds adsorbed to the NADES and extraction residues. …”
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scCamAge: A context-aware prediction engine for cellular age, aging-associated bioactivities, and morphometrics by Vishakha Gautam, Subhadeep Duari, Saveena Solanki, Mudit Gupta, Aayushi Mittal, Sakshi Arora, Anmol Aggarwal, Anmol Kumar Sharma, Sarthak Tyagi, Rathod Kunal Pankajbhai, Arushi Sharma, Sonam Chauhan, Shiva Satija, Suvendu Kumar, Sanjay Kumar Mohanty, Juhi Tayal, Nilesh Kumar Dixit, Debarka Sengupta, Anurag Mehta, Gaurav Ahuja

“…Summary: Current deep-learning-based image-analysis solutions exhibit limitations in holistically capturing spatiotemporal cellular changes, particularly during aging. …”
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Multiobjective Optimization of Turning Cutting Parameters for J-Steel Material by Adel T. Abbas, Karim Hamza, Mohamed F. Aly, Essam A. Al-Bahkali

“…The primary aim is to identify proper settings of the cutting parameters (cutting speed, feed rate, and depth of cut) that lead to reasonable compromises between good surface quality and high material removal rate. …”
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Hydrellia fly parasitic wasp Trichopria columbiana Ashmead (Insecta: Hymenoptera: Diapriidae) by Byron R. Coon, Nathan E. Harms, Michael J. Grodowitz, Emma N.I. Weeks, James P. Cuda

“…Some Hydrellia species feed on the invasive aquatic weed hydrilla. After its introduction into the U.S. by the aquarium industry in the 1950s (Langeland 1996), various control methods, including biological control, were developed and used to manage infestations. …”
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Hearing, sharing and applying: a qualitative study of the experiences of family caregivers’ end-of-life decision-making in Singapore by Gerald Choon Huat Koh, Pin Sym Foong, See Mieng Tan, Min Li Ong, Xingyu Xia

“…Objectives This study aims to describe the caregivers’ end-of-life (EOL) decision-making experience, what made family caregivers feel assured when they were making the right call, and when they felt uncertain or regretful about decisions made. …”
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Perforation of the Papilla of Vater in Wire-Guided Cannulation by Yuichi Takano, Masatsugu Nagahama, Eiichi Yamamura, Naotaka Maruoka, Hiroshi Takahashi

“…However, perforations can make cannulation difficult, and PSP may be useful for deep cannulation.…”
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Aortic Pseudoaneurysm following Ventricular Septal Defect Closure in a Pediatric Patient: A Case Report and Literature Review by Hassan Zamani, Kourosh Vahidshahi, Mohammad Reza Khalilian, Tahmineh Tahouri, Ehsanollah Rahimi-Movaghar

“…The diagnosis was confirmed through cardiac computed tomographic angiography, and the patient underwent emergent surgery for the repair of the aortic pseudoaneurysm under deep hypothermia and circulatory arrest. Unfortunately, our patient died shortly after the surgery.…”
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Prevalence of Nocturnal Enuresis and Its Associated Factors in Primary School and Preschool Children of Khorramabad in 2013 by Katayoun Bakhtiar, Yadollah Pournia, Farzad Ebrahimzadeh, Ali Farhadi, Fathollah Shafizadeh, Reza Hosseinabadi

“…There were statistically significant relationships between nocturnal enuresis and history of nocturnal enuresis in siblings (P=0.023), respiratory infections (P=0.036), deep sleep (P=0.007), corporal punishment at school (P=0.036), anal itching (P=0.043), and history of seizures (P=0.043). …”
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Transcendentality of zeros of higher dereivatives of functions involving Bessel functions by Lee Lorch, Martin E. Muldoon

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Symbiosis Mechanism of Academic Journals and Discipline Construction in Chinese Colleges by Weiling Li, Hong Gao

“…The research aims include better developing academic journals with discipline advantages and back-feeding discipline construction with academic journals. …”
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Effect of Male Involvement on the Nutritional Status of Children Less Than 5 Years: A Cross Sectional Study in a Rural Southwestern District of Uganda by Noel Kansiime, Daniel Atwine, Simpson Nuwamanya, Fred Bagenda

“…There is little studied on male involvement and its measurement in child nutrition; therefore, this paper explores the level of male involvement in child feeding and its association with the nutritional status of the children less than 5 years of age. …”
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Exploring the typhoon intensity forecasting through integrating AI weather forecasting with regional numerical weather model by Hongxiong Xu, Yang Zhao, Zhao Dajun, Yihong Duan, Xiangde Xu

“…This is largely due to constraints inherent in regression algorithm properties including deep neural networks and inability of coarse resolution to capture the finer-scale weather processes. …”
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RISKS REDUCING THROUGH INTELLIGENT HEADLIGHT MANAGEMENT: OPTIMIZING Q-LEARNING FOR ELECTRIC VEHICLES by Pitchaya Jamjuntr, Chanchai Techawatcharapaikul, Pannee Suanpang

“…This paper not only contributes to the optimization of last-mile delivery using shipping drones but also highlights the potential of reinforcement learning techniques, such as deep Q-learning, in addressing complex routing challenges in dynamic, real-world environments in smart logistics. …”
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Experimental and Numerical Study on Mechanical Properties and Deformation Behavior of Beishan Granite considering Heterogeneity by Z. H. Wang, Y. L. Tan, S. M. Li, T. Z. Wang, X. C. Wu

“…Disposal of high-level radioactive waste (HLW) deep underground is one of the most challenging research subjects in rock engineering. …”
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Quality of Life Theory III. Maslow Revisited by Soren Ventegodt, Joav Merrick, Niels Jorgen Andersen

“…The hidden potential for improving life really lies in helping the patient to acknowledge that his or her lust for life, his or her needs, and his or her wish to contribute, is really deep down in human existence one and the same. …”
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Fetal sirenomelia type VI. A case report by Lilian Rachel Vila Ferrán, María Antonia Ocaña Gil

“…Grade VII is its most serious form and can be diagnosed during prenatal ultrasound in the first weeks of pregnancy, leading to induced abortion in most cases. …”
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Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach by Yang Liu, Qingguo Zeng, Joaquín Ordieres Meré, Huanrui Yang

“…In contrast to traditional methods of stock prediction, our approach considers the effects of event tuple characteristics on stocks on the basis of knowledge graph and deep learning. The proposed model and other feature selection models were used to perform feature extraction on the websites of Thomson Reuters and Cable News Network. …”
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