Global research on cognitive function for Schizophrenia from 2014 to 2024: a bibliometric and visual analysis by Yansha Gan, Chunyu Dong, Jiaojiao Sun, Danting Yang, Jiajun Yin, Zhenhe Zhou

“…We used bibliometric methods to identify the current research hotspots and emerging trends in this field.Methods We thoroughly searched SCZ cognitive function publications in the WoSCC database (2014-2024). …”
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Circular RNA microarray expression profile and potential function of circDOCK1 in colorectal cancer by Guojing Zhang, Xiaoyan Wu, Hongmin Fu, Daqing Sun

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Real-world goal-directed behavior reveals aberrant functional brain connectivity in children with ADHD. by Liya Merzon, Sofia Tauriainen, Ana Triana, Tarmo Nurmi, Hanna Huhdanpää, Minna Mannerkoski, Eeva T Aronen, Mikhail Kantonistov, Linda Henriksson, Emiliano Macaluso, Juha Salmi

“…Thirty-nine children with ADHD and thirty-seven typically developing (TD) children participated in this preregistered study. Functional connectivity was examined with network-based statistics (NBS) and graph theoretical metrics. …”
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Attenuation processes in positive social emotion upregulation: Disentangling functional role of ventrolateral prefrontal cortex by Dmitriy D. Bezmaternykh, Mikhail Ye. Melnikov, Evgeny D. Petrovskiy, Ksenia G. Mazhirina, Andrey A. Savelov, Mark B. Shtark, Patrik Vuilleumier, Yury Koush

“…Here, we examined the neural processes mediating upregulation of positive social emotions using functional magnetic resonance imaging in healthy female volunteers. …”
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Cognitive model of the national financial market: creating process and prospects for assessing the security of its functioning by E. A. Loktionova

“…At the same time, within the framework of the existing networks of the interaction of the financial market, exogenous stress impulses will intensify and lead to a violation of its effective performance of the function of capital circulation. …”
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Functional link between mitochondria and Rnr3, the minor catalytic subunit of yeast ribonucleotide reductase by Isaac Corcoles-Saez, Jean-Luc Ferat, Michael Costanzo, Charles M. Boone, Rita S. Cha

“…Together, these results unveil involvement of Rnr3 in mitochondrial functions and Mec1 in mediating the carbon source dependent regulation of Rnr3.…”
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A critical load voltage regulator with both voltage sag compensation and fluctuation mitigation functions by Chang Yuan, Siyu Ding, Xuejian Li, Ming Ma, Jiacheng Guo, Xiangyu Xue, Yuyuan Gui

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Ramp Metering for a Distant Downstream Bottleneck Using Reinforcement Learning with Value Function Approximation by Yue Zhou, Kaan Ozbay, Pushkin Kachroo, Fan Zuo

“…To deal with the intimidating computational cost associated with the multidimensional continuous state space, the value function of actions is approximated by an artificial neural network, rather than a lookup table. …”
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Three‐Dimensional Habitat Structure Drives Avian Functional and Trait Diversity Across North America by Colin P. Sweeney, William Peterman, Kaiguang Zhao, Karen Goodell, Benjamin Zuckerberg, Marta A. Jarzyna

“…Specifically, we used data from the National Ecological Observatory Network (NEON) to test the associations between 11 measures of 3D habitat structure and avian species richness, functional and trait diversity, and phylogenetic diversity. …”
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Spontaneous mesoscale calcium dynamics reflect the development of the modular functional architecture of the mouse cerebral cortex by Davide Warm, Davide Bassetti, Levente Gellèrt, Jenq-Wei Yang, Heiko J. Luhmann, Anne Sinning

“…Overall, spontaneous mesoscale activity reflects the maturation of cortical networks, and reveals critical breakpoints in the development of the functional architecture of the cortex.…”
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OPTIMIZATION OF THE RELIABILITY OF AGRICULTURAL CONSUMERS ELECTRICITY DISTRIBUTING AND SUPPLY SYSTEMS by Lupushor I.

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Dual-Functional Additives Boost Zinc-Ion Battery Electrolyte over Wide Temperature Range by Zhiqiang Dai, Rungroj Chanajaree, Chengwu Yang, Xueqing Zhang, Manunya Okhawilai, Prasit Pattananuwat, Xinyu Zhang, Guanjie He, Jiaqian Qin

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The prevalence and correlates of low sexual functioning in women on hemodialysis: A multinational, cross-sectional study. by Valeria Saglimbene, Patrizia Natale, Suetonia Palmer, Marco Scardapane, Jonathan C Craig, Marinella Ruospo, Letizia Gargano, Giuseppe Lucisano, Marietta Török, Eduardo Celia, Rubén Gelfman, Anna Bednarek-Skublewska, Jan Dulawa, Paul Stroumza, Miguel Leal, Domingo Del Castillo, Angelo Marco Murgo, Staffan Schon, Charlotta Wollheim, Jörgen Hegbrant, Giovanni F M Strippoli

“…Self-reported domains of sexual functioning were assessed by the Female Sexual Function Index, which is routinely administered within the network of dialysis patients followed by the working group. …”
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Sea dragon metabolome and lipidome unveil bioactive functional food candidates with sepsis therapeutic activities by Huixiang Wu, Miaoyu Li, Lijun Ge, Weibo Lu, Xuewei Shen, Yu Zhang, Zengyan Wu, Jianding Wang, Yonghui Wu, Huijuan Mao, Jianliang Zhang, Qingcheng Wang, Jing Xue, Qing Shen, Yuexing Tu

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Compositional and functional gut microbiota alterations in mild cognitive impairment: links to Alzheimer’s disease pathology by Kang-Chen Fan, Chen-Ching Lin, Yen-Ling Chiu, Seong-Ho Koh, Yi-Chien Liu, Yi-Fang Chuang

“…Co-occurrence network analyses demonstrated complex microbial interactions, indicating that the collective influence of gut microbiota on neurodegeneration. …”
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The long-term correlates of developmental stress on whole-brain functional connectivity during emotion regulation by Seda Sacu, Andrea Hermann, Tobias Banaschewski, Martin F. Gerchen, Nathalie E. Holz

“…Abstract Early life stress is associated with alterations in brain function and connectivity during affective processing, especially in the fronto-limbic pathway. …”
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In silico identification and functional annotation of universal stress protein (USP) gene family in Chenopodium quinoa by Hajira Imran, Alvina Gul, Rehan Zafar Paracha, Rabia Amir, Faiza Munir, Muhammad Faraz Bhatti

“…Analysis of cis-elements, protein–protein interactions, and micro-RNAs that target CqUSPs revealed important insights into the regulatory mechanisms, functional associations and post-transcriptional control of these genes. …”
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The role of intimate partner violence perpetrators' resting state functional connectivity in treatment compliance and recidivism by Ángel Romero-Martínez, María Beser, Leonor Cerdá-Alberich, Fernando Aparici, Luis Martí-Bonmatí, Carolina Sarrate-Costa, Marisol Lila, Luis Moya-Albiol

“…Abstract To expand the scientific literature on how resting state functional connectivity (rsFC) magnetic resonance imaging (MRI) (or the measurement of the strength of the coactivation of two brain regions over a sustained period of time) can be used to explain treatment compliance and recidivism among intimate partner violence (IPV) perpetrators. …”
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ESPGHAN and NASPGHAN 2024 protocol for paediatric functional constipation treatment guidelines (standard operating procedure) by Marc A Benninga, Morris Gordon, Nikhil Thapar, Osvaldo Borrelli, Vassiliki Sinopoulou, Merit Tabbers, Anil Darbari, Julie Khlevner, Anna de Geus, Marcin Banasiuk, Mary Boruta, Dawn Dore-Stites, Michelle Gould, Juliette Hawa, Kirsten Brooke Jones, Alexandra Kilgore, Hayat Mousa, Samuel Nurko

“…Introduction Functional constipation is common in childhood, with chronicity leading to a significant impact on patients and their families. …”
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Predictions of Spartina alterniflora leaf functional traits based on hyperspectral data and machine learning models by Wei Li, Xueyan Zuo, Zhijun Liu, Leichao Nie, Huazhe Li, Junjie Wang, Zhiguo Dou, Yang Cai, Xiajie Zhai, Lijuan Cui

“…Using original spectral and first-order differential conversion data of feature bands, we established four prediction models: random forest (RF), support vector machine (SVM), eXtreme Gradient Boosting (XGBoost), and back propagation neural network (BPNN). The study results showed that: (1) the SVM model based on Random Forest Importance Score is well-suited for S. alterniflora leaf functional trait inversion; (2) the importance score of leaf functional traits differed, and first-order differential spectral data produced more bands with high scores compared with the original hyperspectral reflectance data; (3) first-order differential data modelling effects were slightly better than those of the original spectral data. …”
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