Article
Biochemical Research Methods
Ruoyu Tang, Xinyu He, Ruiqi Wang
Summary: The study presents a general computational method for constructing maps between different cell fates and parametric conditions by systematic perturbations. The method does not require accurate parameter measurements or bifurcations. The maps obtained can help in understanding how systematic perturbations drive cell fate decisions and transitions, providing valuable information for predicting and controlling cell states.
Article
Food Science & Technology
Xinxin Zhang, Shangke Li, Yang Shan, Pao Li, Liwen Jiang, Xia Liu, Wei Fan
Summary: This study uses a near-infrared diffuse reflectance spectroscopy system to accurately determine the soluble solids content of citrus without causing damage. The results show that the NIRDRS light can penetrate the thick peel to some extent, and the selection of specific characteristic variables can improve the accuracy of the quantitative analysis models with fewer variables.
JOURNAL OF FOOD PROCESSING AND PRESERVATION
(2022)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
Summary: This paper proposes a robust method for PLS based on the idea of least trimmed squares (LTS), which effectively deals with high-dimensional regressors. By formulating the LTS problem as a concave maximization problem, the complexity of solving LTS is simplified. The results from simulation and real data sets demonstrate the effectiveness and robustness of the proposed approach.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
(2022)
Article
Clinical Neurology
Dan Benjamini, Diego Iacono, Michal E. Komlosh, Daniel P. Perl, David L. Brody, Peter J. Basser
Summary: The study focused on investigating the changes in different MRI parameters related to DAI in traumatic brain injury, using a combination of MRI and histopathology. The results suggest that multidimensional MRI can effectively differentiate the severity of axonal injury and may serve as non-invasive biomarkers for DAI detection.
Article
Multidisciplinary Sciences
Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Munoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Munoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Summary: This study demonstrates the feasibility of using hyperspectral image analysis in the visible and near-infrared range for primary screening of SARS-CoV-2. By applying spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence, information can be extracted from fluid samples and analyzed quantitatively and descriptively. The proposed technology is reagent-free, fast, scalable, and could significantly reduce the number of molecular tests required for COVID-19 mass screening, even in resource-limited settings.
SCIENTIFIC REPORTS
(2022)
Article
Multidisciplinary Sciences
Freeh N. Alenezi
Summary: The study introduces a method for variable selection in high dimensional data modeling, using majority scoring with backward elimination in PLS to improve prediction accuracy. The method performs well in predicting corn and diesel contents, while also examining the impact of data properties on prediction behavior.
SCIENTIFIC REPORTS
(2021)
Article
Chemistry, Analytical
Marina Antonio, Renato L. Carneiro, Ruben M. Maggio
Summary: This study evaluated the feasibility of using middle- and near-infrared spectroscopy, as well as Raman spectroscopy, coupled with multivariate calibration to quantify MLXForm I in commercial raw material. The results showed that NIR-PLS had the best predictive capacity.
MICROCHEMICAL JOURNAL
(2022)
Article
Environmental Sciences
Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka
Summary: This research explores the novel application of Tensor Partial Least Squares (TPLS) for hyperspectral image classification. The results show that TPLS performed better than unfolded PLS, but fell short of traditional classifiers.
GEOCARTO INTERNATIONAL
(2022)
Article
Automation & Control Systems
Zhonghao Xie, Xi'an Feng, Limin Li, Xiaojing Chen
Summary: In this study, a new robust PLS method called partial least median of squares (PLMS) regression is proposed by incorporating the idea of least median of squares. Unlike most existing robust methods, the PLMS problem is solved using modern optimization techniques rather than heuristic processes or reweighting strategies. Comparisons are made with a classical PLS method and two efficient robust PLS methods, demonstrating the effectiveness and robustness of the proposed approach through simulations and real-world data sets.
JOURNAL OF CHEMOMETRICS
(2022)
Article
Agriculture, Dairy & Animal Science
G. Rovere, G. de los Campos, A. L. Lock, L. Worden, A. Vazquez, K. Lee, R. J. Tempelman
Summary: Through analyzing a large number of milk samples, the study found that Bayesian regression methods outperformed partial least squares in predicting milk fatty acids, and identified spectral regions associated with fatty acids as well as the impact of carbon number and unsaturation level on the strength of associations.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Mathematics
Laura Vicente-Gonzalez, Jose Luis Vicente-Villardon
Summary: This paper proposes a generalization of Partial Least Squares Regression (PLS-R) for a matrix of several binary responses and a set of numerical predictors, referred to as Partial Least Squares Binary Logistic Regression (PLS-BLR). The paper also describes the use of Biplot and Triplot graphical representations for visualizing PLS-BLR models and provides an application to real data. The conclusion is that the proposed method and its visualization using Triplots are powerful tools for interpreting the relations between predictors and responses.
Article
Cardiac & Cardiovascular Systems
Roberto Scarsini, Simone Fezzi, Antonio Maria Leone, Giovanni Luigi De Maria, Michele Pighi, Michele Marcoli, Domenico Tavella, Gabriele Pesarini, Adrian P. Banning, Emanuele Barbato, William Wijns, Flavio L. Ribichini
Summary: The physiological assessment of coronary lesions is influenced by the pattern and distribution of coronary artery disease (CAD). Identification of the physiological pattern of disease provides relevant information for the management of CAD and percutaneous coronary intervention procedural planning. However, the classification of physiological patterns and their implications for tailored management of patients with CAD are poorly defined.
JACC-CARDIOVASCULAR INTERVENTIONS
(2022)
Article
Instruments & Instrumentation
Akiharu Kitagawa, Calum Welsh, Harry Mackilligin, Peter Licence
Summary: Temperature measurement is crucial for the life and efficiency of internal components in a jet engine. Rolls-Royce developed irreversible thermochromic paints to evaluate the surface temperature of engine components that cannot be directly measured. This study explored the use of diffuse reflection Fourier transform infrared spectroscopy and partial least squares regression analysis to improve the reliability of temperature measurement by thermochromic paints. The results showed an improved reliability of the prediction model after the combined pre-process treatments.
APPLIED SPECTROSCOPY
(2022)
Article
Nutrition & Dietetics
Shanze Wang, Chaonan Fan, Yingying Zhu, Xijia Tang, Li Ling
Summary: Evidence on the association between dietary patterns and sleep disorders is limited and controversial. However, this study found that a dietary pattern characterized by high solid fats, cured meat, potatoes, refined grains, meat, cheese, and added sugars was associated with a higher risk for sleep disorders and shorter sleep duration.
Article
Mathematical & Computational Biology
Weijuan Liang, Shuangge Ma, Qingzhao Zhang, Tingyu Zhu
Summary: Partial least squares is important for dimension reduction in handling problems with numerous variables. Sparse partial least squares technique helps identify important variables and generate more interpretable results. Integrative analysis gathers raw data from multiple independent datasets and jointly analyzes them to improve performance.
STATISTICS IN MEDICINE
(2021)
Article
Dermatology
Tarek Turk, Marlene Dytoc, Erik Youngson, Adam Abba-Aji, Pamela Mathura, Esther Fujiwara
Summary: This study investigated the prevalence of psychodermatologic conditions in dermatological practice in Alberta, Canada, finding that over a quarter of patients received at least one psychotropic medication, indicating high rates of potential psychodermatologic conditions and/or concurrent mental health issues in dermatology. A multidisciplinary approach should be incorporated into diagnostic and care pathways to better address these conditions.
JOURNAL OF CUTANEOUS MEDICINE AND SURGERY
(2021)
Article
Audiology & Speech-Language Pathology
Bruna Seixas-Lima, Kelly Murphy, Angela K. Troyer, Brian Levine, Naida Graham, Carol Leonard, David Tang-Wai, Sandra Black, Elizabeth Rochon
Summary: This study investigated the production of autobiographical narratives in individuals with semantic and episodic memory impairments. The results showed that individuals with semantic variant primary progressive aphasia (svPPA) produced fewer well-formed sentences when recalling episodic details and fewer past tense inflections when recalling semantic details. The amnestic mild cognitive impairment (aMCI) group produced fewer episodic utterances but a larger number of words in the set of semantic details.
Article
Clinical Neurology
Komal T. Shaikh, Erica L. Tatham, Susan Vandermorris, Theone Paterson, Kathryn Stokes, Morris Freedman, Brian Levine, Jill B. Rich, Angela K. Troyer
Summary: The study found that the daily impact of memory changes in older adults is related to objective memory performance and self-reported memory ability and satisfaction. Self-reported positive coping strategies are associated with better coping with memory changes, but are also related to more negative emotions.
JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY
(2021)
Article
Immunology
Julissa Massanett Aparicio, Yanxun Xu, Yuliang Li, Carlo Colantuoni, Raha Dastgheyb, Dionna W. Williams, Eugene L. Asahchop, Jacqueline M. McMillian, Christopher Power, Esther Fujiwara, M. John Gill, Leah H. Rubin
Summary: The study found that changes in miRNA expression in PWH may be related to domain-specific cognitive functions, potentially involving genes related to executive function, learning/memory, and language. This suggests that considering miRNA expression in evaluating cognitive function may help understand the variable neuropsychiatric outcomes seen in PWH.
Article
Neurosciences
Tyler Good, Michael Schirner, Kelly Shen, Petra Ritter, Pratik Mukherjee, Brian Levine, Anthony Randal McIntosh
Summary: This study uses large-scale brain network modeling to investigate the effects of microscale and macroscale changes on cognitive impairments in traumatic brain injury (TBI) patients. The results show that TBI patients with acute intracranial lesions have lower cortical regional inhibitory connection strengths, and these strengths are correlated with symptoms and cognitive performance at a six-month follow-up. Importantly, even patients without acute lesions show clinical relevance of regional inhibitory connection strengths.
Article
Psychology, Experimental
Paul Loprinzi, Danielle Olafson, Claire Scavuzzo, Ashley Lovorn, Mara Mather, Emily Frith, Esther Fujiwara
Summary: Three laboratory experiments were conducted to examine the effects of acute exercise on both neutral and emotional memory performance. The results showed that acute exercise did not significantly influence emotional or neutral memory performance. However, there were some notable outcomes suggesting that acute exercise may be associated with improvements in memory confidence and accuracy for central aspects of emotional memory stimuli, as well as increased frequency of memory intrusions.
COGNITION & EMOTION
(2022)
Review
Dermatology
T. Turk, C. Liu, S. Straube, M. Dytoc, R. Hagtvedt, L. Dennett, A. Abba-Aji, E. Fujiwara
Summary: The management of primary psychodermatologic disorders is challenging, and the global prevalence of these disorders varies across different settings. The prevalence of PPDs is relatively common in the general population, dermatologic settings, and psychiatric settings.
JOURNAL OF THE EUROPEAN ACADEMY OF DERMATOLOGY AND VENEREOLOGY
(2022)
Article
Geriatrics & Gerontology
Danielle DAmico, Iris Yusupov, Lynn Zhu, Jordan W. Lass, Cindy Plunkett, Brian Levine, Angela K. Troyer, Susan Vandermorris
Summary: This study aimed to investigate the feasibility, acceptability, and impact of a self-guided, e-learning memory intervention for older adults. The results showed a high completion rate and satisfaction among participants. There was a decrease in memory concerns and an increase in the adoption of health-promoting behaviors. These findings suggest that self-guided, e-learning programming has the potential to help older adults adapt to age-related memory changes and promote brain health.
CLINICAL GERONTOLOGIST
(2022)
Article
Neurosciences
Nikolai Malykhin, Wojciech Pietrasik, Arash Aghamohammadi-Sereshki, Kim Ngan Hoang, Esther Fujiwara, Fraser Olsen
Summary: This study aimed to assess the age-related decline in recognition accuracy of facial emotional expressions across the adult lifespan and its relationship with cognitive empathy, alexithymia traits, and amygdala subnuclei volumes. The results showed that both sexes demonstrated age-related reduction in recognition of happy emotions, while male participants also showed age-related reduction in recognition of fear, and female participants showed age-related decline in recognition of neutral and angry facial expressions. In addition, accurate recognition of sadness negatively correlated with alexithymia traits, and better Theory of Mind capabilities in male participants were associated with improvement in recognition of positive and neutral emotions. However, none of the observed age-related reductions in emotional recognition were related to amygdala and its subnuclei volumes, except for the recognition of sad images which had significant direct effects on amygdala volume.
JOURNAL OF NEUROSCIENCE RESEARCH
(2023)
Article
Geriatrics & Gerontology
Stephanie Simpson, Mona Eskandaripour, Brian Levine
Summary: A meta-analysis was conducted to assess the effects of healthy aging, amnestic mild cognitive impairment (MCI), and Alzheimer's disease (AD) on naturalistic autobiographical memory. The results showed that healthy aging is associated with reduced internal details and elevated external details, while MCI and AD are associated with reduced internal details and weakened external detail elevation.
JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES
(2023)
Article
Public, Environmental & Occupational Health
Lujie Xu, M. John Gill, Christopher Power, Esther Fujiwara
Summary: The link between memory and comorbid depression in persons with HIV is still unclear based on available evidence. This study compared verbal memory in a well-characterized HIV cohort with and without comorbid depressive symptoms, and found that memory was lower in depressed individuals. Memory was related to quality of life, sociodemographic, and mental health factors, but not to HIV-related or antiretroviral factors. However, longitudinal analysis showed that memory declined with the presence and severity of depressive symptoms. These findings stress the importance of addressing comorbid depression to improve the quality of life in individuals with treated HIV.
Review
Psychology, Experimental
Carina L. L. Fan, H. Moriah Sokolowski, R. Shayna Rosenbaum, Brian Levine
Summary: Early cognitive neuroscientific research indicated that the hippocampus plays a crucial role in spatial navigation in rodents and autobiographical episodic memory in humans. Researchers proposed that the human hippocampus supports memory through its representation of space and the study of the relationship between spatial cognition and episodic memory in humans has grown rapidly. However, the term "spatial" is used in different contexts and it is unclear which aspect of space is critical for memory. The definition and testing of "episodic" memory also vary. This review discusses the aspects of space commonly linked to episodic memory and explores individual differences in naturalistic autobiographical memory. Future studies should carefully consider the aspect(s) of space linked to memory in the context of naturalistic human cognition.
WILEY INTERDISCIPLINARY REVIEWS-COGNITIVE SCIENCE
(2023)
Meeting Abstract
Neurosciences
Nikolai Malykhin, Arash Aghamohammadi Sereshki, Esther Fujiwara, Fraser Olsen
BIOLOGICAL PSYCHIATRY
(2021)
Article
Neurosciences
Esther Fujiwara, Christopher R. Madan, Jeremy B. Caplan, Tobias Sommer
Summary: The study revealed that the brain processes of emotional arousal on associative memory involve different routes, with emotional memory potentially requiring emotion regulation and conflict resolution, while neutral memory associations may be achieved by anchoring new information to prior knowledge.
Article
Psychology, Experimental
Michael J. Armson, Nicholas B. Diamond, Laryssa Levesque, Jennifer D. Ryan, Brian Levine
Summary: There are significant individual differences in autobiographical memory (AM) recall, with eye movements playing a role in the retrieval of spatiotemporal details. The relationship between eye movements and free recall of AM is influenced by individual differences in AM capacity, particularly in the recall of internal details.