A comparative analysis of fractal and fractionalized thermal non-equilibrium model for chaotic convection saturated by porous medium by Kashif Ali Abro, Imran Qasim Memon, Ali Yousef, Qasem M. Al-Mdallal

“…Finally, it is observed that the fractional and fractal memory effects have caused by interactions between uncertain parameters and disclosed the microstructures on the permeability of porous media.…”
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IDENTIFICATION OF PHYSIOLOGICAL AND PSYCHOLOGICAL CHANGES DURING MENOPAUSE IN BIREUEN DISTRICT, ACEH PROVINCE by Irma Fitria, Dewi Maritalia, Herrywati Tambunan

“…In psychological changes, they experience mood swings, feel tired and lack of enthusiasm and experience memory impairment. Conclusion: It is suggested that it is necessary to provide special support and attention to women in menopause so that they can go through menopause comfortably and happily so that it will reduce the level of dependence on others.…”
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Relationship of Asymmetrical Dimethylarginine, Nitric Oxide, and Sustained Attention during Attack in Patients with Major Depressive Disorder by Serpil Canpolat, İsmet Kırpınar, Erdem Deveci, Hülya Aksoy, Zafer Bayraktutan, İbrahim Eren, Recep Demir, Salih Selek, Nazan Aydın

“…Rey verbal learning and memory test, auditory consonant trigram test, digit span test, Wisconsin card sorting test, continuous performance task (TOVA), and Stroop test scores were found to be impaired in patients with major depressive disorder when compared to healthy controls. …”
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Spatial Learning Is Associated with Antagonist Outcomes for DNA Methylation and DNA Hydroxymethylation in the Transcriptional Regulation of the Ryanodine Receptor 3 by Rodrigo F. Torres, Bredford Kerr

“…However, if these observations are valid for complex behavioral tasks such as learning and memory remains being evaluated. Relative expression analysis revealed that spatial learning increased the hippocampal levels of Ryr3, whereas mice trained using a visible platform that resulted in no spatial association showed reduced expression. …”
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Portable and Cost-Effective Handheld Ultrasound System Utilizing FPGA-Based Synthetic Aperture Imaging by Wenping Wang, Ziliang Feng

“…Moreover, it is remarkable that the memory and logic resources in the FPGA (EP4CE55) account for 73.7% and 66.2%, respectively, which makes the FPGA's power consumption only about 530 mW. …”
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Diagnostic validity of the fifth edition of the Wechsler intelligence scales for children in characteristics Neuro-psychology of students with learning disability by Marzieh Shiri Aminlou, Parviz Sharifi Avaradi, Javad Khalatbari

“…The collected data were analyzed using logistic regression analysis and SPSS software (Version 23).The study finally revealed that vocabulary and information tests (from verbal comprehension index), Block design with time point (from Visual-spatial index),arithmetic (from fluid reasoning scale), number span (direct), number span (reverse), picture span, letter-digit sequencing and letter-number sequencing (from working memory scale),and coding, cancellation (random), cancellation (structural), (from Processing speed index), had diagnostic validity.The fifth version of the Wechsler IQ Scales for children has diagnostic validity in the neuropsychological characteristics of students with learning disabilities and can distinguish students with learning disabilities from normal students.…”
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A Comparative Analysis of Business Machine Learning in Making Effective Financial Decisions Using Structural Equation Model (SEM) by A. V. L. N. Sujith, Naila Iqbal Qureshi, Venkata Harshavardhan Reddy Dornadula, Abinash Rath, Kolla Bhanu Prakash, Sitesh Kumar Singh

“…Machine learning enables extracting the quality patterns and forecasting the data from the data base and fosters growth; the machine learning enables transition from the physical data to electronically stored data, enables enhancing the memory, and supports with financial decision making and other aspects. …”
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Maternal Sevoflurane Exposure Causes Abnormal Development of Fetal Prefrontal Cortex and Induces Cognitive Dysfunction in Offspring by Ruixue Song, Xiaomin Ling, Mengyuan Peng, Zhanggang Xue, Jing Cang, Fang Fang

“…We aimed to investigate whether maternal sevoflurane exposure caused learning and memory impairment in offspring through inducing abnormal development of the fetal prefrontal cortex (PFC). …”
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HIV-Associated Vacuolar Myelopathy and HIV-Associated Dementia as the Initial Manifestation of HIV/AIDS by Natalia Wuliji, Matthew J. Mandell, Jason M. Lunt, Adam Merando

“…A fifty-three-year-old man presented with a six-month history of numerous falls due to progressive gait instability with associated memory loss, tremor, urinary retention, and impotence. …”
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Elusive Gains of Cognitive Training: Limited Effects on Neural Activity Across Sessions by Luka Juras, Andrea Vranic, Ivana Hromatko

“…Theta power remained stable across sessions, indicating a limited influence on neural processes underlying working memory and attentional control. The parietal alpha/theta ratio showed weak increases during mid-training, reflecting subtle shifts in the neural efficacy and cognitive engagement. …”
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Privacy-preserving data compression scheme for k-anonymity model based on Huffman coding by Yue YU, Xianzheng LIN, Weihai LI, Nenghai YU

“…The k-anonymity model is widely used as a data anonymization technique for privacy protection during the data release phase.However, with the advent of the big data era, the generation of vast amounts of data poses challenges to data storage.However, it is not feasible to expand the storage space infinitely by hardware upgrade, since the cost of memory is high and the storage space is limited.For this reason, data compression techniques can reduce storage costs and communication overhead.In order to reduce the storage space of the data generated by using anonymization techniques in the data publishing phase, a compression scheme was proposed for the original data and anonymized data of the k-anonymity model.For the original data of the k-anonymity model, the difference between the original data and the anonymized data was calculated according to the set rules and the pre-defined generalization level.Huffman coding compression was applied to the difference data according to frequency characteristics.By storing the difference data, the original data can be obtained indirectly, thus reducing the storage space of the original data.For anonymized data of the k-anonymity model, the anonymized data usually have high repeatability according to the generalization rules of the model or the pre-defined generalization hierarchy relations.The larger the value of k, the more generalized and repeatable the anonymized data becomes.The design of Huffman coding compression was implemented for anonymous data to reduce storage space.The experimental results show that the proposed scheme can significantly reduce the original data and the anonymous data compression rate of the k-anonymity model.Across five models and variousk-value settings,the proposed scheme reduces the compression rate of raw and anonymized data by 72.2% and 64.2% on average compared to the Windows 11 zip tool.…”
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Solar Flare Intensity Prediction With Machine Learning Models by Zhenbang Jiao, Hu Sun, Xiantong Wang, Ward Manchester, Tamas Gombosi, Alfred Hero, Yang Chen

“…Abstract We develop a mixed long short‐term memory (LSTM) regression model to predict the maximum solar flare intensity within a 24‐hr time window 0–24, 6–30, 12–36, and 24–48 hr ahead of time using 6, 12, 24, and 48 hr of data (predictors) for each Helioseismic and Magnetic Imager (HMI) Active Region Patch (HARP). …”
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E3 ubiquitination ligase XIAP lightens diabetes‐induced cognitive impairment by inactivating TXNIP‐ERS‐mediated neuronal injury by Qin Zhang, Hai‐Jin Huang, Jing‐Ling Zhang, Ying Tian, Ying Hu

“…Primary hippocampal neurons were stimulated with HG to mimic diabetic conditions. Cognitive and memory functions were assessed using the Morris water maze (MWM) and novel object recognition test (ORT).…”
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Effects of distant biofield energy healing on adults associated with psychological and mental health-related symptoms: a randomized, placebo-controlled, double-blind study by Mahendra Kumar Trivedi, Alice Branton, Dahryn Trivedi, Sambhu Mondal, Snehasis Jana

“… # Results Perceived psychological symptoms/scores (fatigue/tiredness, sleep disturbances, stress, cognitive impairment, loss of memory, mental restlessness, emotional trauma, anxiety, depression, confusion, financial crises and dissatisfaction, low libido, motivation, confidence, lack of perception, relationship, and social behaviors, etc.) were significantly (p <.0001) improved in biofield intervention group compared to the naïve control and sham control groups. …”
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Glucocorticoid-Induced Tumour Necrosis Factor Receptor-Related Protein: A Key Marker of Functional Regulatory T Cells by Simona Ronchetti, Erika Ricci, Maria Grazia Petrillo, Luigi Cari, Graziella Migliorati, Giuseppe Nocentini, Carlo Riccardi

“…The role of GITR in Treg expansion is confirmed by the association of GITR expression with markers of memory T cells. In this context, it is not surprising that GITR appears to be a marker of active Tregs, as suggested by the association of GITR expression with other markers of Treg activation or cytokines with suppressive activity (e.g., IL-10 and TGF-β), the presence of GITR+ cells in tissues where Tregs are active (e.g., solid tumours), or functional studies on Tregs. …”
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12,13-diHOME Promotes Inflammatory Macrophages and Epigenetically Modifies Their Capacity to Respond to Microbes and Allergens by Din L. Lin, Kevin M. Magnaye, Cara E. Porsche, Sophia R. Levan, Elze Rackaityte, Mustafa Özçam, Susan V. Lynch

“…In primary immune cell coculture assays involving peanut allergen stimulation, 12,13-diHOME promotes both IL-1β and IL-6 production, memory B cell expansion, and increased IgE production. …”
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A Multivariate and Multistage Medium- and Long-Term Streamflow Prediction Based on an Ensemble of Signal Decomposition Techniques with a Deep Learning Network by Muhammad Sibtain, Xianshan Li, Snoober Saleem

“…Therefore, to enhance the reliability and accuracy of streamflow prediction, this paper developed a three-stage hybrid model, namely, IVL (ICEEMDAN-VMD-LSTM), which integrated improved complete ensemble empirical mode decomposition with additive noise (ICEEMDAN), variational mode decomposition (VMD), and long short-term memory (LSTM) neural network. Monthly data series of streamflow, temperature, and precipitation in the Swat River Watershed, Pakistan, from January 1971 to December 2015 was used as a case study. …”
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The Optimization of UAV-Assisted Downlink Transmission Based on RSMA by Lin Huang, Daiming Qu, Jianguo Zhou, Jialin Zhang

“…The optimization algorithm is further enhanced by incorporating dynamic step size and visual strategies, as well as memory behaviors to improve convergence speed and optimization accuracy. …”
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High-fat diet triggers transcriptomic changes in the olfactory bulb by Young-Kook Kim, Danbi Jo, Seoyoon Choi, Juhyun Song

“…Recent studies have focused on olfactory dysfunction in patients with obesity and diabetes accompanied by cognitive dysfunction, considering that the synaptic signal from the olfactory bulb is directly transmitted to memory consolidation–related brain regions. This study investigated transcriptomic changes in the olfactory bulb in high-fat diet (HFD)-fed mice compared to that in normal-diet–fed mice. …”
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Learning Slope and Position Effects in Rey Auditory Verbal Learning Test: Diagnostic Value in Schizophrenia by M. Alfimova, V.V. Plakunova, V.E. Golimbet

“… <p>Impairments of verbal episodic memory are a central component of cognitive deficits in schizophrenia, and their investigation is important for solving diagnostic, expert and rehabilitation tasks. …”
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