Miracle-dz/UniFAR-FTUs huggingface dataset:
Consequences of Salinity Change, Salinity History, and Shell Morphology on Early Growth of Juvenile Oysters

ABSTRACT Estuaries provide valuable habitat for the eastern oyster (Crassostrea virginica). Although salinity at a given location fluctuates regularly with tides, upbay and downbay salinity differences span a broad estuarine salinity gradient. Higher salinity habitats downbay support faster oyster growth, whereas lower salinities upbay act as a refuge from predation and disease but slows growth. Two experiments were performed to investigate the effect of salinity, postsettlement salinity changes, and shell morphology on juvenile oyster growth. One experiment used wild oyster spat collected from three distinct Delaware Bay salinity zones that were then transplanted into various salinity conditions in the laboratory, where growth was monitored. Transplanting into low salinity led to decreased growth compared with transplanting to higher salinity, and growth of oyster spat was overall highest for spat from the lowest salinity source. Growth did not differ among shell morphologies. A second experiment used hatchery reared larvae set in one of four different salinity conditions. Those spat were maintained in settlement salinities 22, 16, 10, and 6 for 2–3 wk postsettlement, then measured before fully factorial transfer into new salinity conditions with measurement 3 wk later. Lower final salinity treatments were associated with lower growth, lower initial salinity treatments were associated with faster final treatment growth, and final growth depended on the interaction between initial and final salinity. Therefore, in addition to the effects of acute salinity changes on growth, early postsettlement hyposalinity stress can generate compensatory juvenile oyster growth. As increased freshwater events due to climate change are expected in the Delaware Bay and regionally in the Northeast, these results indicate that nonlinear early life stress responses are important to quantify to better understand oyster stock resilience and plan management.
Life History Patterns of the Atlantic Brief Squid, Lolliguncula brevis (Blainville, 1823), in the Charleston Harbor Estuary, South Carolina, USA

ABSTRACT The Atlantic brief squid, Lolliguncula brevis, is a euryhaline cephalopod that inhabits shallow, continental shelf habitats from Argentina to the Bay of Fundy. In the southeastern United States, brief squid can account for a considerable portion of the estuarine animal biomass and are an important component of the diets of species with high priority for management and conservation. Historical data from South Carolina Department of Natural Resources suggest that brief squid exhibit spatially and temporally variable size-frequency distributions within the Charleston Harbor estuary. Prior to this study, however, detailed life history information for this species was lacking in the region. Samples of brief squid were collected monthly at four stations along a salinity gradient within the Charleston Harbor estuary in 2019 to investigate temporal and spatial patterns of abundance, sex, size, and maturity. Season and station were significantly related to brief squid abundance, which was greater for all sexes in spring, summer, and fall than in winter. Catches of brief squid were dominated by immature squid compared with mature squid. Excluding sexually indistinct squid, and across all seasons, significantly more males were collected than females. Mean brief squid size tended to be larger in May than in several other months of the year, largely due to the lower abundance of small squid in that month. Logistic regression analyses indicated that brief squid size-at-maturity occurred at 50.2 mm for males and 59.2 mm for females. The presence of both small and large brief squid throughout the year at all stations supports a pattern of overlapping cohorts, whereas the continual presence of immature brief squid at all stations suggests asynchronous recruitment. This study provides valuable life history information that can be used to support the conservation and management of organisms that are either prey or predators of brief squid within the Charleston Harbor estuary. Further research over multiple years and within other estuaries in the Georgia Bight is needed, however, to determine how the life history patterns observed in this study apply more broadly across the region.
NanoSIMS analysis of water content in bridgmanite at the micron scale: An experimental approach to probe water in Earth’s deep mantle

Water, in trace amounts, can greatly alter chemical and physical properties of mantle minerals and exert primary control on Earth’s dynamics. Quantifying how water is retained and distributed in Earth’s deep interior is essential to our understanding of Earth’s origin and evolution. While directly sampling Earth’s deep interior remains challenging, the experimental technique using laser-heated diamond anvil cell (LH-DAC) is likely the only method available to synthesize and recover analog specimens throughout Earth’s lower mantle conditions. The recovered samples, however, are typically of micron sizes and require high spatial resolution to analyze their water abundance. Here we use nano-scale secondary ion mass spectrometry (NanoSIMS) to characterize water content in bridgmanite, the most abundant mineral in Earth’s lower mantle. We have established two working standards of natural orthopyroxene that are likely suitable for calibrating water concentration in bridgmanite, i.e., A119(H2O) = 99 ± 13 μg/g (1SD) and A158(H2O) = 293 ± 23 μg/g (1SD). We find that matrix effect among orthopyroxene, olivine, and glass is less than 10%, while that between orthopyroxene and clinopyroxene can be up to 20%. Using our calibration, a bridgmanite synthesized by LH-DAC at 33 ± 1 GPa and 3,690 ± 120 K is measured to contain 1,099 ± 14 μg/g water, with partition coefficient of water between bridgmanite and silicate melt ∼0.025, providing the first measurement at such condition. Applying the unique analytical capability of NanoSIMS to minute samples recovered from LH-DAC opens a new window to probe water and other volatiles in Earth’s deep mantle.
Impact of wastewater treatment plant effluent on the winter thermal regime of two urban Colorado South Platte tributaries

Wastewater treatment plant effluent can increase stream water temperature from near freezing to 5°C–12°C in winter months. Recent research in the South Platte River Basin in Colorado showed that this warming alters the reproductive timing of some fishes. However, the spatial extent and magnitude of this warming are unknown. Thus, we created winter water temperature models both upstream and downstream of effluent inputs for two urban tributaries of the South Platte River, the Big Thompson River, and St. Vrain Creek. We examined the influence of air temperature, discharge, effluent temperature, and distance downstream on water temperature over the winter period (December–February). The models were also used to predict water temperature in the absence of effluent and based on air temperature predictions in 2052 and 2082. Effluent temperature was the largest driver of water temperature downstream of the effluent, while the impact of air temperature was comparatively small. Streams cooled after an initially sharp temperature increase, though were still predicted to be ∼2°C greater than they would be in the absence of effluent at ∼0.5 km. Predicted air temperatures in 2052 and 2082 had a negligible effect on water temperature, suggesting that mitigating effluent temperature is key to protecting the winter thermal regimes of effluent-impacted rivers. Our models can be used to gain insight into the magnitude and downstream extent of the impact of effluent temperature on small urban streams in winter and provide a baseline for models in other watersheds and at larger scales.
Polyoxidovanadates [MoVIVV 9O28]5- and [H2PtIVVV 9O28]5- interact with CHO cell plasma membrane lipids causing aggregation and activation of a G protein-coupled receptor

Mono substituted heteropolyoxidovanadates, when compared to effects of a corresponding isopolyoxidovanadate (POV), were found to be more effective initiators of signal transduction by a G protein-coupled receptor (GPCR), specifically the luteinizing hormone receptor (LHR). Here we report that LHRs signal productively when CHO cells expressing the receptor are treated with two heteropolyoxidovanadates PtIV in monoplatino(IV)nonavanadate(V) ([H2PtVIVV 9O28]5-, V9Pt), and MoIV in monomolybdo(VI)nonavanadate(V) (Mo[VIVV 9O28]5-, V9Mo). Both substituted decavanadate derivatives were more effective than decavanadate which is more charged, has greater stability and forms the [V10O28]6- anion (V10) in cell culture medium at pH 7.4. For viable CHO cells expressing 10 k or 32 k LHR/cell and treated with 11 μM V9Pt and 13 μM V9Mo, mono substituted heteropolyoxidovanadates significantly decreased the packing of plasma membrane lipids for about 1 h. This brief change in membrane structure was accompanied by increased aggregation of LHR and cell signaling as indicated by increased intracellular levels of cAMP. More pronounced changes in lipid packing and LHR signaling were associated with short acting heteropolyoxidovanadates than with the more stable V10. When LHR was overexpressed, V9Pt and V9Mo had little or no effect on membrane lipid packing or receptor aggregation and the LHR was constitutively activated as indicated by elevated intracellular cAMP levels. Speciation of V9Pt and V9Mo in H2O and cell medium was monitored using 51V NMR spectroscopy and confirmed that V9Pt and V9Mo had greater effects on CHO cells despite decomposing more rapidly in the cell growth medium. Thus, under conditions that promote CHO cell growth, V9Pt and V9Mo, despite their smaller molecular charge and their reduced stability, favor LHR signaling over that induced by V10. Importantly, under the same experimental conditions, CHO cells treated with V9Pt and V9Mo do not exhibit as strong toxic effects observed for cells treated with the longer lived V10. In summary, unlike the longer lived V10 which is more growth inhibitory to cells, monosubstituted heteropolyoxidovanadates are more effective in transiently initiating signaling by a G protein-coupled receptor but, because of rapid hydrolysis, inhibit cell growth less.
Inequalities in the Access to Health Services Among Older Migrants: Evidence From the China Migrant Dynamic Monitoring Survey

Objectives: To identify differences in healthcare use between older migrant workers (OMWs) and older migrants (OMs) and explore associated factors and paths of healthcare use. Methods: The data came from the 2015 China Migrant Dynamic Monitoring Survey (CMDMS). CMDMS used a multi-stage stratified probability proportionate to size method as the sampling technique and conducted a desk review. The samples include OMWs, OMs for caring offspring (N = 4,439), and OMs for receiving care from family (N = 4,184). We built logistic regression and path analysis models to analyze the data. Results: Social health insurance (SHI) in current place of residence is associated with less expenditure among all subgroups. OMWs and OMs for receiving care from family with SHI in current place of residence are more likely to use healthcare. Conclusion: OMWs are particularly vulnerable in healthcare use and socioeconomic status. Having SHI registered in current place of residence helps decrease expenditure among OMs. We urge policymakers to consider a united health financing scheme across OMWs and other urban employees and streamline policies for migrants to enroll in SHI in current place of residence.
Chinese Herbal Medicine Combined With Antiepileptic Drugs for Intractable Epilepsy: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background: Intractable epilepsy (IE) is still a major concern in neurology, and existing therapies do not adequately control symptoms. Chinese Herbal Medicine (CHM) has been widely used as an adjunct to antiepileptic drugs (AEDs) for IE. However, because of the contradictory findings reported in previous studies, it is uncertain if the present evidence is robust enough to warrant its usage. The purpose of this meta-analysis was to systematically evaluate the efficacy of the combination of CHM and AEDs for IE. Methods: From inception to September 2021, Medline, Ovid, Embase, Cochrane Library, Chinese Biomedical Database, China National Knowledge Infrastructure, VIP Database, and Wanfang Database were searched. Only randomized controlled trials (RCTs) that assessed the efficacy of the combination of CHM and AEDs for IE were included. We defined monthly seizure frequency as the primary outcome. The secondary outcomes included the abnormal rate of electroencephalogram (EEG), seizure duration, quality of life (QoL), and adverse events (AEs). Results: Twenty studies with 1,830 patients were enrolled. Most trials had poor methodological quality. The meta-analysis showed that the combination of CHM and AEDs was more efficient than AEDs alone in reducing monthly seizure frequency [MD = −1.26%, 95% CI (−1.62, −0.91); p < 0.00001], the abnormal rate of EEG [RR = 0.66%, 95% CI (0.53, 0.82); p = 0.0002], and improving the QoL [MD = 6.96%, 95% CI (3.44, 10.49); p = 0.0001]. There was no significant difference in seizure duration between groups. Moreover, the combination of CHM and AEDs significantly reduced the AEs [RR = 0.45%, 95% CI (0.32, 0.64); p < 0.00001]. Conclusion: The combination of CHM and AEDs could improve seizure control by reducing monthly seizure frequency and abnormal rate of EEG with a decreased risk of adverse events in patients with IE. However, these findings must be interpreted carefully due to the high or uncertain risk of bias in the included trials. To provide stronger evidence for the use of CHM combined with AEDs in IE, high-quality RCTs will be urgently warranted in the future.
Scalable Approaches for Test Suite Reduction

Test suite reduction approaches aim at decreasing software regression testing costs by selecting a representative subset from large-size test suites. Most existing techniques are too expensive for handling modern massive systems and moreover depend on artifacts, such as code coverage metrics or specification models, that are not commonly available at large scale. We present a family of novel very efficient approaches for similaritybased test suite reduction that apply algorithms borrowed from the big data domain together with smart heuristics for finding an evenly spread subset of test cases. The approaches are very general since they only use as input the test cases themselves (test source code or command line input). We evaluate four approaches in a version that selects a fixed budget B of test cases, and also in an adequate version that does the reduction guaranteeing some fixed coverage. The results show that the approaches yield a fault detection loss comparable to state-of-the-art techniques, while providing huge gains in terms of efficiency. When applied to a suite of more than 500K real world test cases, the most efficient of the four approaches could select B test cases (for varying B values) in less than 10 seconds.
Potential effective diagnostic biomarker in patients with primary and metastatic small intestinal neuroendocrine tumors

Background: Small intestinal neuroendocrine tumors (SI-NETs) are the most common malignant tumors of the small intestine, with many patients presenting with metastases and their incidence increasing. We aimed to find effective diagnostic biomarkers for patients with primary and metastatic SI-NETs that could be applied for clinical diagnosis. Methods: We downloaded GSE65286 (training set) and GSE98894 (test set) from the GEO database and performed differential gene expression analysis to obtain differentially expressed genes (DEGs) and differentially expressed long non-coding RNAs (DElncRNAs). The functions and pathways involved in these genes were further explored by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. In addition, a global regulatory network involving dysregulated genes in SI-NETs was constructed based on RNAInter and TRRUST v2 databases, and the diagnostic power of hub genes was identified by receiver operating characteristic curve (ROC). Results: A total of 2,969 DEGs and DElncRNAs were obtained in the training set. Enrichment analysis revealed that biological processes (BPs) and KEGG pathways were mainly associated with cancer. Based on gene set enrichment analysis (GSEA), we obtained five BPs (cytokinesis, iron ion homeostasis, mucopolysaccharide metabolic process, platelet degranulation and triglyceride metabolic process) and one KEGG pathway (ppar signaling pathway). In addition, the core set of dysregulated genes obtained included MYL9, ITGV8, FGF2, FZD7, and FLNC. The hub genes were upregulated in patients with primary SI-NETs compared to patients with metastatic SI-NETs, which is consistent with the training set. Significantly, the results of ROC analysis showed that the diagnostic power of the hub genes was strong in both the training and test sets. Conclusion: In summary, we constructed a global regulatory network in SI-NETs. In addition, we obtained the hub genes including MYL9, ITGV8, FGF2, FZD7, and FLNC, which may be useful for the diagnosis of patients with primary and metastatic SI-NETs.
Modeling the microbial pretreatment of camelina straw and switchgrass by Trametes versicolor and Phanerochaete chrysosporium via solid-state fermentation process: A growth kinetic sub-model in the context of biomass-based biorefineries

Advancing microbial pretreatment of lignocellulose has the potential not only to reduce the carbon footprint and environmental impacts of the pretreatment processes from cradle-to-grave, but also increase biomass valorization, support agricultural growers, and boost the bioeconomy. Mathematical modeling of microbial pretreatment of lignocellulose provides insights into the metabolic activities of the microorganisms as responses to substrate and environment and provides baseline targets for the design, development, and optimization of solid-state-fermentation (SSF) bioreactors, including substrate concentrations, heat and mass transfer. In this study, the growth of Trametes versicolor 52J (TV52J), Trametes versicolor m4D (TVm4D), and Phanerochaete chrysosporium (PC) on camelina straw (CS) and switchgrass (SG) during an SSF process was examined. While TV52J illustrated the highest specific growth rate and maximum cell concentration, a mutant strain deficient in cellulose catabolism, TVm4D, performed best in terms of holocellulose preservation and delignification. The hybrid logistic-Monod equation along with holocellulose consumption and delignification models described well the growth kinetics. The oxygen uptake rate and carbon dioxide production rate were directly correlated to the fungal biomass concentration; however, a more sophisticated non-linear relationship might explain those correlations better than a linear model. This study provides an informative baseline for developing SSF systems to integrate fungal pretreatment into a large-scale, on-farm, wet-storage process for the utilization of agricultural residues as feedstocks for biofuel production.
The Maximum Potential Intensity of Tropical Cyclones

Abstract A thermodynamic approach to estimating maximum potential intensity (MPI) of tropical cyclones is described and compared with observations and previous studies. The approach requires an atmospheric temperature sounding, SST, and surface pressure; includes the oceanic feedback of increasing moist entropy associated with falling surface pressure over a steady SST; and explicitly incorporates a cloudy eyewall and a clear eye. Energetically consistent, analytic solutions exist for all known atmospheric conditions. The method is straightforward to apply and is applicable to operational analyses and numerical model forecasts, including climate model simulations. The derived MPI is highly sensitive to the surface relative humidity under the eyewall, to the height of the warm core, and to transient changes of ocean surface temperature. The role of the ocean is to initially contribute to the establishment of the ambient environment suitable for cyclone development, then to provide the additional energy req.
Conversational Agents to Support Couple Therapy

There is a growing rate of marriages and relationship dissolution as couples surrender efforts to reconcile. Couple therapy provides psychotherapeutic solutions for this problem. However, it is not easily accessible due to scheduling difficulties or cost. Conversational agents (CAs) could provide more scalable access to couple therapy. This study investigates the suitability of conversational agents for individual therapy for couple problems. Couple Therapy Chatbot is a Wizard-of-Oz intervention using cognitive-behavioural couple therapy (CBCT) with individuals via an instant messaging platform. 12 participants trialled Couple Therapy Chatbot via single-session therapy. A qualitative self-reported questionnaire provided suitability insights. Thematic analysis revealed that while some participants appreciate deep and constructive responses and human-like empathy, others dislike generic and impersonal responses. Using CAs for couple problems appears to be a suitable application and may assist in mitigating relationship dissolution. Future work can assess efficacy using automated CA solutions against larger and more selective samples.
GNN-based Multi-bit Flip-flop Clustering and Post-clustering Design Optimization for Energy-efficient 3D ICs

In high-performance three-dimensional Integrated Circuits (3D ICs), clock networks consume a large portion of the full-chip power. However, no previous 3D IC work has ever optimized 3D clock networks for both power and performance simultaneously, which results in sub-optimal 3D designs. To overcome this issue, in this article, we propose a GNN-based flip-flop clustering algorithm that merges single-bit flip-flops into multi-bit flip-flops in an unsupervised manner, which jointly optimizes the power and performance metrics of clock networks. Moreover, we integrate our algorithm into the state-of-the-art 3D physical design flow and verify the integration, which leads to a better 3D full-chip design. Experimental results on eight industrial benchmarks demonstrate that the algorithm achieves improvements up to 18% in total power and 8.2% in performance over the state-of-the-art 3D flow.