Article
Meteorology & Atmospheric Sciences
Javier Amezcua, Zak Barton
Summary: This study addresses the inverse problem of inferring the original field from infrasound waves using ensemble Kalman filter. The research findings suggest that the across-track averaging method used in previous studies tends to overestimate values, while covariance-based methods allow for updates in sparse high-altitude regions.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2021)
Article
Environmental Sciences
Zhen Zhang, Abhishek Chatterjee, Lesley Ott, Rolf Reichle, Andrew F. Feldman, Benjamin Poulter
Summary: Soil moisture plays a crucial role in the carbon-water coupling process in terrestrial ecosystems. Utilizing soil moisture data from the SMAP satellite mission can improve model simulations of carbon fluxes and enhance predictions under extreme events.
Article
Environmental Sciences
Jun Tang, Shimeng Zhang, Dengpan Yang, Xuequn Wu
Summary: This paper proposes a novel ionospheric data assimilation method, using the LETKF algorithm, to construct an ionospheric model over Yunnan, China. Experimental results show that the data assimilation has a more pronounced improvement effect on the ionospheric model during periods of geomagnetic quiet.
Article
Environmental Sciences
Jeronimo Escribano, Enza Di Tomaso, Oriol Jorba, Martina Klose, Maria Goncalves Ageitos, Francesca Macchia, Vassilis Amiridis, Holger Baars, Eleni Marinou, Emmanouil Proestakis, Claudia Urbanneck, Dietrich Althausen, Johannes Buehl, Rodanthi-Elisavet Mamouri, Carlos Perez Garcia-Pando
Summary: This study explores the potential and added value of assimilating satellite vertical dust profiles to improve desert dust forecasts. The results show that assimilating dust extinction profiles provides better performance in the analyses and forecasts compared to assimilating column-integrated aerosol optical depth (AOD).
ATMOSPHERIC CHEMISTRY AND PHYSICS
(2022)
Article
Biochemistry & Molecular Biology
Ji-Eun Kim, Duk-Shin Lee, Tae-Hyun Kim, Tae-Cheon Kang
Summary: This study found that CDDO-Me attenuates CA1 neuronal death and aberrant mitochondrial elongations by increasing RalBP1 expression and reducing 4-HNE levels. These findings suggest that increased RalBP1 expression/activity may be one of the considerable targets to protect neurons from status epilepticus.
Article
Biochemistry & Molecular Biology
Duk-Shin Lee, Tae-Hyun Kim, Hana Park, Ji-Eun Kim
Summary: Clasmatodendrosis, a type of astroglial degeneration, involves excessive autophagy. The underlying mechanisms of abnormal mitochondrial dynamics in this degeneration are not fully understood. Protein disulfide isomerase (PDI), an oxidoreductase in the endoplasmic reticulum, may be involved in aberrant mitochondrial elongation in clasmatodendritic astrocytes. In this study, CDDO-Me and SN50 were found to ameliorate clasmatodendritic astrocytes in chronic epilepsy rats, indicating reduced autophagy flux and facilitated mitochondrial fission.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Biochemistry & Molecular Biology
Ji-Eun Kim, Hana Park, Tae-Hyun Kim, Tae-Cheon Kang
Summary: LONP1 is a highly conserved serine peptidase that plays a crucial role in the protein quality control system in mammalian mitochondria. Its up-regulation suppresses cell death in response to various stresses and improves neuronal viability against status epilepticus by alleviating mitochondrial overloads of active caspase-3 and HMGB1.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Neurosciences
Mariella Panagiotopoulou, Christoforos A. Papasavvas, Gabrielle M. Schroeder, Rhys H. Thomas, Peter N. Taylor, Yujiang Wang
Summary: This study analyzes continuous intracranial electroencephalographic recordings and finds fluctuations in iEEG band power over timescales ranging from minutes to 12 days. These fluctuations may serve as markers of seizure modulating processes, and further understanding their relationship to biological drivers is crucial.
HUMAN BRAIN MAPPING
(2022)
Article
Biotechnology & Applied Microbiology
Yuhei Hayakawa, Nobuhiro Aburai, Katsuhiko Fujii
Summary: In this study, a heat treatment technique was used to convert DABYS microflora, which degrades digested sludge (DS) and produces methane gas, into a microflora that can produce hydrogen gas from DS. The inactivation of methanogens that consume hydrogen was achieved by heat treatment at 80 and 100 degrees C, while thermotolerant bacteria remained unaffected. Three microflorae were developed, including representatives from the families Clostridiaceae and Enterobacteriaceae, as well as Pseudomonas sp. in DABYS-A80 and DABYS-A100.
FERMENTATION-BASEL
(2023)
Article
Clinical Neurology
R. S. Germeraad, A. M. P. Demandt, R. P. W. Rouhl
Summary: In a retrospective cohort study, we found that phenytoin prophylaxis is ineffective in preventing seizures and may also lead to intoxication in patients receiving busulfan therapy. Therefore, we recommend discontinuing the use of phenytoin as primary seizure prophylaxis in these patients.
FRONTIERS IN NEUROLOGY
(2022)
Article
Environmental Sciences
Mengru Zhang, Fei Han, Hao Chen, Jingye Yao, Qinyang Li, Zhe Li, Weizhi Zhou
Summary: This study confirms the feasibility and stability of the ammonium-assimilating biosystem in hypersaline wastewater treatment. Although the removal efficiency of ammonium and phosphate decreased under high salinity, the direction of nitrogen conversions remained unaffected by salinity.
SCIENCE OF THE TOTAL ENVIRONMENT
(2022)
Article
Chemistry, Multidisciplinary
Haiteng Jiang, Vasileios Kokkinos, Shuai Ye, Alexandra Urban, Anto Bagic, Mark Richardson, Bin He
Summary: This study developed a new method to localize the seizure onset zone (SOZ) and predict seizure outcome using short-time resting-state SEEG data. They found that greater differences in resting-state information flow between SOZ and non-SOZ regions are associated with favorable seizure outcome.
Article
Multidisciplinary Sciences
Isa Dallmer-Zerbe, Nikola Jajcay, Jan Chvojka, Radek Janca, Petr Jezdik, Pavel Krsek, Petr Marusic, Premysl Jiruska, Jaroslav Hlinka
Summary: Current advances in epilepsy treatment aim to personalize and adjust treatment parameters to overcome patient heterogeneity. Computational modeling has been introduced as a diagnostic tool for predicting individual treatment outcomes. In this article, the Wendling model is used to automatically classify epileptic brain states and the results are validated against real data.
SCIENTIFIC REPORTS
(2023)
Article
Environmental Sciences
Menaka Revel, Daiki Ikeshima, Dai Yamazaki, Shinjiro Kanae
Summary: Understanding spatial and temporal variations in terrestrial waters is crucial for assessing the global hydrological cycle. The integration of SWOT observations into hydrodynamic models has shown promise in improving river discharge estimates at both high and low latitudes. Improved hydrodynamic models are essential for maximizing the benefits of SWOT observations, and further research is needed for global-scale data assimilation.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Yueming Cheng, Tie Dai, Daisuke Goto, Hiroshi Murakami, Mayumi Yoshida, Guangyu Shi, Teruyuki Nakajima
Summary: The Japanese SHIKISAI satellite, equipped with the SGLI instrument, allows for more precise global aerosol observations. By assimilating these observations using advanced models, such as 4D-LETKF and SPRINTARS coupled with NICAM, the study demonstrates significant improvements in Asian dust storm simulations.