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In vivo extracellular recordings of PC complex spike activity in TRPC3Mwk\/-, pcp2Cre;TRPC3fl\/fl mice, pcp2Cre;TRPC3fl\/fl;EAAT4GFP\/- and pcp2CreERT2;TRPC3fl\/fl mice."],"prefix":"10.7554","member":"4374","deposited":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T08:00:40Z","timestamp":1568016040000},"score":20.469116,"resource":{"primary":{"URL":"https:\/\/elifesciences.org\/articles\/45590\/figures#fig5s1"}},"subtitle":["(A\u2013C) CV for complex spikes (CS-CV) of PCs recorded in TRPC3Mwk\/- mice, were significantly increased in both Z\u2013 and Z+ PCs.\u00a0CS-CV2 and CF-pause in both Z\u2013 and Z+ PCs of TRPC3Mwk\/- mice were unaffected, compared with those of littermate controls. (D\u2013F), In pcp2Cre;TRPC3fl\/fl mice, CS-CV, CS-CV2 in both Z\u2013 and Z+ PCs do not differ from littermate controls. However, CF-pause was significant longer Z\u2013 PC (F), left), but unaffected in Z+ PCs. (G\u2013I) In pcp2Cre;TRPC3fl\/fl;EAAT4GFP\/- mice, all parameters for Z\u2013 PCs, including CS-CV, CS-CV2 and CF-pause, were significantly increased compared to those of littermate controls. However, there was no change in those features of the Z+ PCs. (J\u2013L), After tamoxifen-induced TRPC3 ablation, PCs in pcp2CreERT2;TRPC3fl\/fl mice showed no significant differences in CS-CV, CS-CV2 and CF-pause in Z\u2013 or Z+ PCs, as compared with those of littermate controls that were also injected with tamoxifen. 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To tackle these issues, a new intelligent optimization framework, named genetic algorithm-fuzzy logic-Transformer (GA-FL-Transformer), is proposed. First, the framework employs the Transformer architecture to achieve unified encoding and feature fusion across multiple sources of financial data, high-dimensional features with strong discriminative power. Subsequently, an attention-weight-guided co-evolutionary mechanism integrating genetic algorithm (GA) and fuzzy logic (FL) is designed. This mechanism incorporates the features and attention weights into chromosome encoding, fitness function formulation, and genetic operations, thereby enabling dynamic optimization of fuzzy rules and membership functions. Finally, an intelligent optimization framework that integrates perception, optimization, and decision-making is constructed, achieving closed-loop optimization from data to decision-making\n                    <jats:italic>via<\/jats:italic>\n                    a bidirectional flow mechanism and supporting continuous learning and system-wide self-adjustment. Results on financial datasets from Compustat and CRSP show that the proposed method outperforms competing models in financial optimization. Ablation experiments further validate the contributions of the Transformer-based feature extraction, genetic algorithm optimization, and fuzzy reasoning mechanism to the system\u2019s performance. This study provides a crucial theoretical foundation for enterprises to construct intelligent financial decision-making systems.\n                  <\/jats:p>","DOI":"10.7717\/peerj-cs.3549","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T08:40:18Z","timestamp":1770021618000},"page":"e3549","source":"Crossref","is-referenced-by-count":0,"title":["Design of an intelligent optimization framework for corporate financial management based on GA-FL-transformer"],"prefix":"10.7717","volume":"12","author":[{"given":"Fengnian","family":"Zhu","sequence":"first","affiliation":[{"name":"School of Management, Wuhan Technology and Business University, Wuhan, China"},{"name":"Hubei Research Center for Business Service Development, Wuhan Technology and Business University, Wuhan, China"}]},{"given":"Shaotian","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Management, Wuhan Technology and Business University, Wuhan, China"},{"name":"Hubei Research Center for Business Service Development, Wuhan Technology and Business University, Wuhan, China"}]},{"given":"Fen","family":"Yuan","sequence":"additional","affiliation":[{"name":"Wuhan Qingchuan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9337-6602","authenticated-orcid":true,"given":"Muddassira","family":"Arshad","sequence":"additional","affiliation":[{"name":"Department of Software Engineering, University of the Punjab, Lahore, Pakistan"}]}],"member":"4443","published-online":{"date-parts":[[2026,2,2]]},"reference":[{"issue":"2","key":"10.7717\/peerj-cs.3549\/ref-1","doi-asserted-by":"publisher","first-page":"446","DOI":"10.19139\/soic-2310-5070-1796","article-title":"An enhanced genetic algorithm using directional-based crossover and normal mutation for global optimization problems","volume":"12","author":"Abdelkhalek","year":"2024","journal-title":"Statistics, Optimization & Information Computing"},{"issue":"3","key":"10.7717\/peerj-cs.3549\/ref-2","doi-asserted-by":"publisher","first-page":"1245","DOI":"10.1007\/s12065-023-00822-6","article-title":"Genetic algorithms: theory, genetic operators, solutions, and applications","volume":"17","author":"Alhijawi","year":"2024","journal-title":"Evolutionary Intelligence"},{"issue":"4","key":"10.7717\/peerj-cs.3549\/ref-3","doi-asserted-by":"publisher","first-page":"106329","DOI":"10.1016\/j.asoc.2020.106329","article-title":"A two-stage fuzzy neural approach for credit risk assessment in a Brazilian credit card company","volume":"92","author":"Fonseca","year":"2020","journal-title":"Applied Soft Computing"},{"issue":"4","key":"10.7717\/peerj-cs.3549\/ref-4","doi-asserted-by":"publisher","first-page":"690","DOI":"10.3390\/electronics13040690","article-title":"A hardware realization framework for fuzzy inference system optimization","volume":"13","author":"Gorgin","year":"2024","journal-title":"Electronics"},{"issue":"1","key":"10.7717\/peerj-cs.3549\/ref-5","doi-asserted-by":"publisher","first-page":"2479822","DOI":"10.1155\/2022\/2479822","article-title":"Design of enterprise financial management cloud platform based on neural network algorithm","volume":"2022","author":"Hao","year":"2022","journal-title":"Mobile Information Systems"},{"issue":"4","key":"10.7717\/peerj-cs.3549\/ref-6","doi-asserted-by":"publisher","first-page":"104107","DOI":"10.1016\/j.ipm.2025.104107","article-title":"Effectively detecting and diagnosing distributed multivariate time series anomalies via unsupervised federated hypernetwork","volume":"62","author":"Hao","year":"2025","journal-title":"Information Processing & Management"},{"issue":"7","key":"10.7717\/peerj-cs.3549\/ref-7","doi-asserted-by":"publisher","first-page":"e0327199","DOI":"10.1371\/journal.pone.0327199","article-title":"Design of an evolutionary model for international trade settlement based on genetic algorithm and fuzzy neural network","volume":"20","author":"Huang","year":"2025","journal-title":"PLOS ONE"},{"issue":"8","key":"10.7717\/peerj-cs.3549\/ref-8","doi-asserted-by":"publisher","first-page":"e0326961","DOI":"10.1371\/journal.pone.0326961","article-title":"Does green credit promote real economic development? 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the availability of fishery-independent data in the southeastern United States. These fishery-independent surveys target numerous species and habitats with various sampling methods, including the use of trawls, longlines, gill nets, traps, and visual surveys. Although passively fished hooked gear (e.g., longlines) are often used to assess the abundance and life history of managed reef fishes, such types of gear are often limited by the habitats they can fish effectively and are species selective. To address these shortcomings, we developed and implemented an actively fished approach to provide fishery-independent data: the repetitive timed-drop hooked-gear method (RTD method). Despite the high degree of standardization applied to the RTD method, important questions remain as to whether active fishing imparts strong angler variability that may reduce the utility of survey data. Accordingly, we analyzed data from 2014 to 2018 to evaluate potential angler bias and how angler-associated variability compares to other factors often thought to be important predictors of reef fish abundance and community structure. During this study, 962 stations were sampled, representing a variety of artificial and natural reef habitats. In total, 5,770 fish were caught, representing 92 taxa. Sampling was conducted by 103 unique anglers, including 42 commercial or charter fishers and 61 scientists. Results from both population- and assemblage-level analyses found that most of the variability in the catch could be explained by hook size, habitat, water depth, and year. Angler type was rarely correlated with reef fish abundance or assemblages. Our analyses suggest that the RTD method is effective in gathering fishery-independent abundance and life history data for reef fishes in the eastern Gulf of Mexico and that the resulting data are not strongly biased by an angler effect.<\/jats:p>","DOI":"10.1002\/nafm.10846","type":"journal-article","created":{"date-parts":[[2022,11,26]],"date-time":"2022-11-26T00:55:35Z","timestamp":1669424135000},"page":"1575-1594","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Habitat-Based, Fishery-Independent Survey Using Actively Fished Hooked Gear Successfully Characterizes Reef Fish Populations in the Eastern Gulf of Mexico"],"prefix":"10.1093","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0613-2576","authenticated-orcid":false,"given":"Brent L.","family":"Winner","sequence":"first","affiliation":[{"name":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, Florida, 33701, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3473-9017","authenticated-orcid":false,"given":"Theodore S.","family":"Switzer","sequence":"additional","affiliation":[{"name":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, Florida, 33701, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3602-6926","authenticated-orcid":false,"given":"Sean F.","family":"Keenan","sequence":"additional","affiliation":[{"name":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, Florida, 33701, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2802-2415","authenticated-orcid":false,"given":"Caleb H.","family":"Purtlebaugh","sequence":"additional","affiliation":[{"name":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, Senator George G. Kirkpatrick Marine Laboratory, 11350 SW 153rd Court, Cedar Key, Florida, 32625, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8150-4996","authenticated-orcid":false,"given":"Heather","family":"Christiansen","sequence":"additional","affiliation":[{"name":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, Florida, 33701, USA"}]},{"given":"John","family":"Davis","sequence":"additional","affiliation":[{"name":"Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, Florida, 33701, USA"}]}],"member":"286","published-online":{"date-parts":[[2022,11,25]]},"reference":[{"key":"2025012416082106500_nafm10846-bib-0001","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1890\/05-0174","article-title":"Density-dependent spillover from a marine reserve: long-term evidence","volume":"15","author":"Abesamis","year":"2005","journal-title":"Ecological 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Influence of local load stimuli on mesothoracic motor activity during inside turning."],"prefix":"10.7554","member":"4374","deposited":{"date-parts":[[2018,8,23]],"date-time":"2018-08-23T13:04:42Z","timestamp":1535029482000},"score":15.471649,"resource":{"primary":{"URL":"https:\/\/elifesciences.org\/articles\/13799#fig3"}},"subtitle":["(a) Mesothoracic pro- and retractor activity (2nd and 3rd row, resp.) before and during a front leg inside walking sequence (front leg [FL] stance begin marked in top row event channel), and simultaneous application of load stimuli to the mesothoracic leg stump (bottom trace). Four example responses (grey shaded areas) with expanded time resolution are shown below, the first one during quiescence, the other three during inside steps of the ipsilateral FL. (bi\u2013iii) PSTHs showing the forms of mesothoracic retractor MN response to local load stimuli during FL inside stepping: bi, peristimulus time histogram (PSTH) of retractor activity timed to the begin of the CS stimulus ramp in the quiescent animal. bii, retractor activation upon load stimulus; biii, termination of retractor activity (activation of protractor activity is not shown as PSTH). (c) Distribution of response strength of retractor MNs to CS stimuli throughout the FL step cycle during inside steps with retractor activation from the animal shown in a; note that there is no phase preference for either an increase or a decrease in retractor activation compared to controls, this was also found for all other animals (Figure 3\u2014figure supplement 1). (d) Example for no response to a loading stimulus. (e) Phase plot showing the distribution of CS stimuli in the FL step cycle that lead to protractor activation from N=7 animals; no significant phase preference was detectable. (f) Phase plot showing the distribution of CS stimuli in the FL step cycle that did cause neither re- nor protractor activation from N=10 animals; a significant phase preference was detectable at 0.89. FL: front leg, ML: middle leg, pro: protractor, ret: retractor."],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7554\/elife.13799.006","relation":{"is-component-of":[{"id-type":"doi","id":"10.7554\/eLife.13799","asserted-by":"object"}]}},{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T08:07:18Z","timestamp":1772266038363,"version":"3.50.1"},"reference-count":0,"publisher":"eLife Sciences Publications, Ltd","content-domain":{"domain":[],"crossmark-restriction":false},"DOI":"10.7554\/elife.21392.008","type":"component","created":{"date-parts":[[2017,1,30]],"date-time":"2017-01-30T09:00:14Z","timestamp":1485766814000},"source":"Crossref","is-referenced-by-count":0,"title":["Figure 4. The paranodal spectrin-based cytoskeleton can assemble nodes of Ranvier."],"prefix":"10.7554","member":"4374","deposited":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T06:09:21Z","timestamp":1535090961000},"score":15.468143,"resource":{"primary":{"URL":"https:\/\/elifesciences.org\/articles\/21392#fig4"}},"subtitle":["(a, b) TEM of longitudinal sections from dorsal roots of Nfascfl\/fl;Sptbn1fl\/fl (a) and Avil-Cre;Nfascfl\/fl;Sptbn1fl\/fl mice (b). Scale bars, 0.5 \u00b5m. (c, d) TEM of cross sections through dorsal roots of Nfascfl\/fl;Sptbn1fl\/fl (c) and Avil-Cre;Nfascfl\/fl;Sptbn1fl\/fl mice (d). Scale bars, 4 \u00b5m. (e) Immunostaining of P10 Nfascfl\/fl;Sptbn1fl\/fl and Avil-Cre;Nfascfl\/fl;Sptbn1fl\/fl dorsal roots using antibodies against Na+ channels and Caspr shows intact paranodal junctions. Scale bar, 5 \u00b5m. (f\u2013h) Immunostaining of P15 Nfascfl\/fl;Sptbn1fl\/fl and Avil-Cre;Nfascfl\/fl;Sptbn1fl\/fl dorsal roots using antibodies against Na+ channels (e, red), AnkG (f, red), \u03b2IV spectrin (g, red) and panNF (green). Scale bar, 5 \u00b5m. (i) The percentage of nodes labeled for Na+ channels in P10 and P15 Nfascfl\/fl;Sptbn1fl\/fl and Avil-Cre;Nfascfl\/fl;Sptbn1fl\/fl dorsal and ventral roots. N\u00a0=\u00a04 animals per age and genotype. ***p=2.0E\u221206 at P10; p=6.26E\u221208 at P15."],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7554\/elife.21392.008","relation":{"is-component-of":[{"id-type":"doi","id":"10.7554\/eLife.21392","asserted-by":"object"}]}},{"indexed":{"date-parts":[[2024,9,15]],"date-time":"2024-09-15T14:57:40Z","timestamp":1726412260178},"reference-count":10,"publisher":"Springer Science and Business Media LLC","issue":"1-3","license":[{"start":{"date-parts":[[1996,1,1]],"date-time":"1996-01-01T00:00:00Z","timestamp":820454400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["J Incl Phenom Macrocycl Chem"],"published-print":{"date-parts":[[1996]]},"DOI":"10.1007\/bf01041535","type":"journal-article","created":{"date-parts":[[2005,1,20]],"date-time":"2005-01-20T17:32:05Z","timestamp":1106242325000},"page":"53-56","source":"Crossref","is-referenced-by-count":6,"title":["New type of bridged monoamino-?-Cyclodextrins"],"prefix":"10.1007","volume":"25","author":[{"given":"J.","family":"Kov\ufffdcs","sequence":"first","affiliation":[]},{"given":"Fl.","family":"Sallas","sequence":"additional","affiliation":[]},{"given":"I.","family":"Pint\ufffdr","sequence":"additional","affiliation":[]},{"given":"A.","family":"Marsura","sequence":"additional","affiliation":[]},{"given":"L.","family":"Jicsinszky","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"CR1","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-66842-5","volume-title":"Cyclodextrin Chemistry","author":"M.L. 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Impaired spatial learning and memory in Nestin-Cre; Snx6fl\/fl mice."],"prefix":"10.7554","member":"4374","deposited":{"date-parts":[[2018,8,24]],"date-time":"2018-08-24T06:12:42Z","timestamp":1535091162000},"score":15.246089,"resource":{"primary":{"URL":"https:\/\/elifesciences.org\/articles\/20991#fig2"}},"subtitle":["(A\u2013I) No effects of SNX6 ablation on the performance in assays of rotarod (A)\u00a0(13 Snx6fl\/fl and 16 Nestin-Cre; Snx6fl\/fl mice), open field (B)\u00a0(23 Snx6fl\/fl and 23 Nestin-Cre; Snx6fl\/fl mice), elevated plus maze (C)\u00a0(14 Snx6fl\/fl and 13 Nestin-Cre; Snx6fl\/fl mice), tail suspension (D)\u00a0(14 Snx6fl\/fl and 24 Nestin-Cre; Snx6fl\/fl mice), forced swimming (E)\u00a0(15 Snx6fl\/fl and 25 Nestin-Cre; Snx6fl\/fl mice), Three-Chamber test (F)\u00a0(10 Snx6fl\/fl and 9 Nestin-Cre; Snx6fl\/fl mice), repetitive behaviors (G)\u00a0(12 Snx6fl\/fl and 10 Nestin-Cre; Snx6fl\/fl mice), Y maze (H)\u00a0(11 Snx6fl\/fl and 15 Nestin-Cre; Snx6fl\/fl mice) and shuttle box (I)\u00a0(20 Snx6fl\/fl and 13 Nestin-Cre; Snx6fl\/fl mice). The\u00a0data represent mean \u00b1 SEM for each group. (J\u2013K) Increased escape latency at acquisition learning (J)\u00a0(data represent mean \u00b1 SEM of four trials per day), decreased number of crossing and increased latency to first enter the 1.5x area at probe test (K)\u00a0(the\u00a0data represent mean \u00b1 SEM for each group) in Nestin-Cre; Snx6fl\/fl mice in the Morris water maze. Subject numbers were 18 Snx6fl\/fl and 22 Nestin-Cre; Snx6fl\/fl mice. (L) After a 20-day rest, both Snx6fl\/fl and Nestin-Cre; Snx6fl\/fl mice exhibited memory extinguishment. (M) Decreased number of crossing and increased latency to first enter the 1.5x area at probe test in Nestin-Cre; Snx6fl\/fl mice after one recall training. The\u00a0data represent mean \u00b1 SEM. N\u00a0=\u00a03\u00a0independent experiments."],"issued":{"date-parts":[[null]]},"references-count":0,"URL":"https:\/\/doi.org\/10.7554\/elife.20991.005","relation":{"is-component-of":[{"id-type":"doi","id":"10.7554\/eLife.20991","asserted-by":"object"}]}},{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T17:14:20Z","timestamp":1771262060213,"version":"3.50.1"},"reference-count":0,"publisher":"Human Kinetics","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2008]]},"DOI":"10.5040\/9781350872844","type":"other","created":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T16:21:18Z","timestamp":1771258878000},"source":"Crossref","is-referenced-by-count":0,"title":["Bent-Over Row (FL)"],"prefix":"10.5040","member":"2984","container-title":["Bent-Over Row (FL)"],"deposited":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T16:21:30Z","timestamp":1771258890000},"score":15.239342,"resource":{"primary":{"URL":"https:\/\/www.humankineticslibrary.com\/video?docid=HKL_6331876532112&tocid=HKL_file_6331876532112"}},"issued":{"date-parts":[[2008]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5040\/9781350872844","published":{"date-parts":[[2008]]}}],"items-per-page":20,"query":{"start-index":0,"search-terms":"cs.FL"}}}