Miracle-dz/UniFAR-FTUs huggingface dataset:
Mineralogical and chemical modification of components in CV3 chondrites: Nebular or asteroidal processing?

— Calcium- and aluminum-rich inclusions (CAIs), chondrules, dark inclusions and matrices in certain CV3 carbonaceous chondrites appear to have been modified by different degrees of late-stage alteration processes that caused significant variations in mineralogy and chemistry. Some chondrules and CAIs are rimmed with fayalitic olivine. Metal in all components may be oxidized and sulphidized to magnetite, Ni-rich metal and sulfides. Silicates in all components are aqueously altered to different degrees to phyllosilicates. Primary minerals in some CAIs experienced Fe-alkali-halogen metasomatism forming nepheline, sodalite, wollastonite, hedenbergite and other secondary minerals. In CV3 chondrites with metasomatized CAIs, nepheline, sodalite, etc. are also present in chondrule mesostases and in matrices. McSween's (1977b) reduced subgroup of CV3 chondrites generally shows minimal alteration of all components and may represent the unaltered precursors for the oxidized CV3 chondrites, which generally show major alteration. Most studies have been focused on specific components in CV3 chondrites and have not considered possible relationships between alteration processes. We infer from the correlated occurrences of the alteration features that they were closely related in time and space and review nebular and asteroidal models for their origins. We prefer an asteroidal model.
Bibliography of work on the photocatalytic removal of hazardous compounds from water and air

This is a bibliography of information in the open literature on work that has been done to date on the photocatalytic oxidation of compounds, principally organic compounds. The goal of the listing is removing hazardous oompounds from water or air. It contains lists of substances and literature citations. The bibliography includes information obtained through the middle of 1993 and some selected references for the balance of that year.
A sensory signature of unaffected biological parents predicts the risk of autism in their offspring

Despite the emphasis on sensory dysfunction phenotypes in the revised diagnostic criteria for autism spectrum disorder (ASD), there has been limited research, particularly in the field of neurobiology, investigating the concordance in sensory features between individuals with ASD and their genetic relatives. Therefore, our objective was to examine whether neurobehavioral sensory patterns could serve as endophenotypic markers for ASD.
Lysosomes in senescence and aging

Dysfunction of lysosomes, the primary hydrolytic organelles in animal cells, is frequently associated with aging and age‐related diseases. At the cellular level, lysosomal dysfunction is strongly linked to cellular senescence or the induction of cell death pathways. However, the precise mechanisms by which lysosomal dysfunction participates in these various cellular or organismal phenotypes have remained elusive. The ability of lysosomes to degrade diverse macromolecules including damaged proteins and organelles puts lysosomes at the center of multiple cellular stress responses. Lysosomal activity is tightly regulated by many coordinated cellular processes including pathways that function inside and outside of the organelle. Here, we collectively classify these coordinated pathways as the lysosomal processing and adaptation system (LYPAS). We review evidence that the LYPAS is upregulated by diverse cellular stresses, its adaptability regulates senescence and cell death decisions, and it can form the basis for therapeutic manipulation for a wide range of age‐related diseases and potentially for aging itself.
KNOWLEDGE OF SOIL BIOLOGY TO REDUCE NITROGEN LOSS AS N2O FROM SUGARCANE FARMING

Contemporary cropping systems have to combine high yields with environmental sustainability. The conversion of nitrogen (N) fertiliser to forms which are easily lost from soil (as nitrate or gaseous N compounds) is driven by soil biology, specifically the soil microbial community. Although knowledge of soil microbial activity is crucial for minimising N loss, it is not known how soil conditions and associated microbes can best be manipulated through farming practices. We have developed new tools for fingerprinting microbial activities in soil. Our new method quantifies, for the first time, the activities of microbial genes that are switched on or off under certain conditions in the soil. The method links soil parameters and microbial activities by using a new custom-made microarray. The advantage of this novel mRNA-based approach is that it (i) measures of the ‘microbial activity’ rather than the ‘presence’ of specific microbes, (ii) monitors ‘activities’ of many microbial groups simultaneously, (iii) provides insights into whole-system soil biology. We have applied this technique to monitor microbial activities in cane soils with different management histories. Our preliminary results indicate that the method can successfully detect differences in the microbial activities of soils with different fertiliser application and N2O emission rates (Mackay), and different cropping history (Ingham). Ultimately this research will provide information for farmers to effectively manipulate soil biology to reduce N loss and improve productivity.
Developmental changes in endogenous testosterone have sexually‐dimorphic effects on spontaneous cortical dynamics

The transition from childhood to adolescence is associated with an influx of sex hormones, which not only facilitates physical and behavioral changes, but also dramatic changes in neural circuitry. While previous work has shown that pubertal hormones modulate structural and functional brain development, few of these studies have focused on the impact that such hormones have on spontaneous cortical activity, and whether these effects are modulated by sex during this critical developmental window. Herein, we examined the effect of endogenous testosterone on spontaneous cortical activity in 71 typically‐developing youth (ages 10–17 years; 32 male). Participants completed a resting‐state magnetoencephalographic (MEG) recording, structural MRI, and provided a saliva sample for hormone analysis. MEG data were source‐reconstructed and the power within five canonical frequency bands (delta, theta, alpha, beta, and gamma) was computed. The resulting power spectral density maps were analyzed via vertex‐wise ANCOVAs to identify spatially specific effects of testosterone and sex by testosterone interactions, while covarying out age. We found robust sex differences in the modulatory effects of testosterone on spontaneous delta, beta, and gamma activity. These interactions were largely confined to frontal cortices and exhibited a stark switch in the directionality of the correlation from the low (delta) to high frequencies (beta/gamma). For example, in the delta band, greater testosterone related to lower relative power in prefrontal cortices in boys, while the reverse pattern was found for girls. These data suggest testosterone levels are uniquely related to the development of spontaneous cortical dynamics during adolescence, and such levels are associated with different developmental patterns in males and females within regions implicated in executive functioning.
Cardiolipin Regulates the Activity of the Mitochondrial ABC Transporter ABCB10

The ATP-binding cassette (ABC) transporter ABCB10 resides in the inner membrane of mitochondria and is implicated in erythropoiesis. Mitochondria from different cell types share some specific characteristics, one of which is the high abundance of cardiolipin. Although previous studies have provided insight into ABCB10, the affinity and selectivity of this transporter toward lipids, particularly those found in the mitochondria, remain poorly understood. Here, native mass spectrometry is used to directly monitor the binding events of lipids to human ABCB10. The results reveal that ABCB10 binds avidly to cardiolipin with an affinity significantly higher than that of other phospholipids. The first three binding events of cardiolipin display positive cooperativity, which is suggestive of specific cardiolipin-binding sites on ABCB10. Phosphatidic acid is the second-best binder of the lipids investigated. The bulk lipids, phosphatidylcholine and phosphatidylethanolamine, display the weakest binding affinity for ABCB10. Other lipids bind ABCB10 with a similar affinity. Functional assays show that cardiolipin regulates the ATPase activity of ABCB10 in a dose-dependent fashion. ATPase activity of ABCB10 was also impacted in the presence of other lipids but to a lesser extent than cardiolipin. Taken together, ABCB10 has a high binding affinity for cardiolipin, and this lipid also regulates the ATPase activity of the transporter.
Structural and Functional Analysis of Two New Positive Allosteric Modulators of GluA2 Desensitization and Deactivation

At the dimer interface of the extracellular ligand-binding domain of AMPA receptors a hydrophilic pocket is formed that is known to interact with two classes of positive allosteric modulators, represented by cyclothiazide and the ampakine CX614. Here we present structural and functional data on two new positive allosteric modulators of AMPA receptors, CMPDA and CMPDB. Crystallographic data show that these compounds bind within the modulator-binding pocket, and that substituents of each compound overlap with distinct moieties of cyclothiazide and CX614. The goals of the present study were to determine 1) the degree of modulation by CMPDA and CMPDB of AMPA receptor deactivation and desensitization; 2) whether these compounds are splice isoform-selective; and, 3) whether predictions of mechanism of action could be inferred by comparing molecular interactions between the ligand binding domain and each compound to those of cyclothiazide and CX614. CMPDB was found to be more isoform-selective than would be predicted from initial binding assays. Importantly, these new compounds are both more potent and more efficacious, and also may be more clinically relevant, than the previously described AMPA receptor modulators. receptors was EC 50 = 45.4 ± 4.2 nM (mean + sem; n =4) and GluA2o receptors was EC 50 = 63.4 ± 5.6 nM ( n =4). The potency for CMPDB at GluA2i receptors was EC 50 = 122.5 ± 12.9 nM ( n =2) and GluA2o receptors was EC 50 = 470.5 ± 3.7 nM ( n =2). Results showed that CMPDA was nearly equipotent at modulating the two receptor type to L-glutamate “control”, ( *** , p<0.0001; ** , p<0.001; * , p<0.05). Data were fit with a two-exponential function and both fast (F) and slow (S) components were combined into a weighted average based on their respective amplitude contributions (%A Fast X τ Fast + %A Slow X τ Slow ), where A= the amplitude of each time constant. Non-des, cells that did not desensitize in response to modulator. Comparisons between, a-c; or, within, d-f. Number of cells is given in parenthesis. #, for WTGluA2i exposed to CX614, the initial phase of decay only was fit with a single exponential function, due to “resensitization” as seen by the increasing inward current during the application of glutamate.
The colonization of an irradiated environment: the case of microbial biofilm in a nuclear reactor

Abstract The investigation of the microbial community change in the biofilm, growing on the walls of a containment tank of TRIGA nuclear reactor revealed a thriving community in an oligotrophic and heavy-metal-laden environment, periodically exposed to high pulses of ionizing radiation (IR). We observed a vertical IR resistance/tolerance stratification of microbial genera, with higher resistance and less diversity closer to the reactor core. One of the isolated Bacillus strains survived 15 kGy of combined gamma and proton radiation, which was surprising. It appears that there is a succession of genera that colonizes or re-colonizes new or IR-sterilized surfaces, led by Bacilli and/or Actinobacteria, upon which a photoautotrophic and diazotrophic community is established within a fortnight. The temporal progression of the biofilm community was evaluated also as a proxy for microbial response to radiological contamination events. This indicated there is a need for better dose-response models that could describe microbial response to contamination events. Overall, TRIGA nuclear reactor offers a unique insight into IR microbiology and provides useful means to study relevant microbial dose-thresholds during and after radiological contamination. Graphical Abstract
Identification of different MRI atrophy progression trajectories in epilepsy by subtype and stage inference

Abstract Artificial intelligence (AI)-based tools are widely employed, but their use for diagnosis and prognosis of neurological disorders is still evolving. Here we analyse a cross-sectional multicentre structural MRI dataset of 696 people with epilepsy and 118 control subjects. We use an innovative machine-learning algorithm, Subtype and Stage Inference, to develop a novel data-driven disease taxonomy, whereby epilepsy subtypes correspond to distinct patterns of spatiotemporal progression of brain atrophy.In a discovery cohort of 814 individuals, we identify two subtypes common to focal and idiopathic generalized epilepsies, characterized by progression of grey matter atrophy driven by the cortex or the basal ganglia. A third subtype, only detected in focal epilepsies, was characterized by hippocampal atrophy. We corroborate external validity via an independent cohort of 254 people and confirm that the basal ganglia subtype is associated with the most severe epilepsy.Our findings suggest fundamental processes underlying the progression of epilepsy-related brain atrophy. We deliver a novel MRI- and AI-guided epilepsy taxonomy, which could be used for individualized prognostics and targeted therapeutics.
Unravelling Causal Associations between Population Mobility and COVID-19 Cases in Spain: a Transfer Entropy Analysis

Human mobility is a well-known factor in the spread of infectious diseases. During the COVID-19 pandemic, the rapid spread of the SARS-CoV-2 virus led to healthcare systems collapsing in numerous countries, such as Spain and Italy, resulting in a significant number of deaths. To avoid such disastrous outcomes in the future, it is vital to understand how population mobility is linked to the spread of infectious diseases. To assess that, we applied an information theoretic approach called transfer entropy (TE) to measure the influence of the number of infected people travelling between two localities on the future number of infected people in the destination. We first validated our approach using simulated data from a SIR epidemiological model and found that the mobility-based TE was effective in filtering out non-causal influences that could otherwise arise, thereby successfully recovering the epidemic's spreading patterns and the mobility network topology. We then applied the mobility-based TE to analyse the COVID-19 pandemic in Spain. We identified which regions acted as the main drivers of the pandemic at different periods, both globally and locally. Our results unravelled significant epidemiological events such as the outbreak in Lleida during the Summer of 2020, caused by the influx of temporary workers. We also analysed the effects of a non-pharmaceutical intervention in Catalunya, using mobility-based TE to compare the infection dynamics with a control region. These results help clarify how human mobility influences the dynamic spread of infectious diseases and could be used to inform future non-pharmaceutical interventions.
Increased entrainment and decreased excitability predict efficacious treatment of closed-loop phase-locked rTMS for treatment-resistant depression

Transcranial magnetic stimulation (TMS) is an FDA-approved therapy for major depressive disorder (MDD), specifically for patients who have treatment-resistant depression (TRD). However, TMS produces response or remission in about 50% of patients but is ineffective for the other 50%. Limits on efficacy may be due to individual patient variability, but to date, there are no good biomarkers or measures of target engagement. In addition, TMS efficacy is typically not assessed until a six-week treatment ends, precluding the evaluation of intermediate improvements during the treatment duration. Here, we report on results using a closed-loop phase-locked repetitive TMS (rTMS) treatment that synchronizes the delivery of rTMS based on the timing of the pulses relative to a patient's individual electroencephalographic (EEG) prefrontal alpha oscillation informed by functional magnetic resonance imaging (fMRI). We find that, in responders, synchronized delivery of rTMS produces two systematic changes in brain dynamics. The first change is a decrease in global cortical excitability, and the second is an increase in the phase entrainment of cortical dynamics. These two effects predict clinical outcomes in the synchronized treatment group but not in an active-treatment unsynchronized control group. The systematic decrease in excitability and increase in entrainment correlated with treatment efficacy at the endpoint and intermediate weeks during the synchronized treatment. Specifically, we show that weekly tracking of these biomarkers allows for efficacy prediction and potential of dynamic adjustments through a treatment course, improving the overall response rates.
Estimation of flow properties using surface deformation and head data: A trajectory‐based approach

A trajectory‐based algorithm provides an efficient and robust means to infer flow properties from surface deformation and head data. The algorithm is based upon the concept of an “arrival time” of a drawdown front, which is defined as the time corresponding to the maximum slope of the drawdown curve. The technique involves three steps: the inference of head changes as a function of position and time, the use of the estimated head changes to define arrival times, and the inversion of the arrival times for flow properties. Trajectories, computed from the output of a numerical simulator, are used to relate the drawdown arrival times to flow properties. The inversion algorithm is iterative, requiring one reservoir simulation for each iteration. The method is applied to data from a set of 14 tiltmeters, located at the Raymond Quarry field site in California. Using the technique, I am able to image a high‐conductivity channel which extends to the south of the pumping well. The presence of this permeable pathway is supported by an analysis of earlier cross‐well transient pressure test data.
Development and use of plant resources for western wildlands

Concern for declines in big game habitat throughout the West and the pioneering work of revegetation researchers in the mid twentieth century led to increased use of native shrubs, grasses, and forbs for revegetation, and the 1975 establishment of the U.S. Department of Agriculture, Forest Service, Shrub Sciences Laboratory in Provo, Utah. During this period revegetation objectives shifted from an emphasis on production of commodities to conservation of biodiversity and ecosystem functions. Plant resource development altered from an agronomic approach focusing on plant improvement to one that incorporates ecological, genetic, and practical considerations. Although many problems remain, research, technological advances, efforts to stabilize the native seed industry, and improved seed testing and certification procedures are increasing our options for revegetating disturbed lands.
Reynolds number dependence of azimuthal and streamwise pipe flow structures

Abstract This paper revisits the study by Bailey et al. (J. Fluid Mech., vol. 615, 2008, pp. 121–138), adopting a higher-fidelity calibration approach to reveal subtle flow variations with Reynolds numbers that were not discernible previously. The paper aims therefore to provide insights into the characteristics of azimuthal and streamwise pipe flow structures adopting two-point joint statistics and spectral analysis for shear Reynolds numbers in the range $2\times {10^3}\le {Re_\tau }\le {16\times {10^3}}$, where ${Re_\tau }$ is based on the wall friction velocity $u_{\tau }$, the pipe radius $R$, and the fluid kinematic viscosity $\nu$. The streamwise velocity fluctuations were measured at four wall-normal locations, $0.1\le {x_{{2}}/R}\le {0.7}$, covering the logarithmic and core regions of fully developed turbulent pipe flow based on 35–41 azimuthal probe separations using, simultaneously, two single hot-wire probes. A unique in situ calibration approach for both probes was adopted where a potential flow was insured, resulting in consistent and precise pipe flow data. The azimuthal velocity correlation, the cross-power spectral density and the coherence function of the streamwise velocity fluctuations are discussed, revealing a clear dependence of the azimuthal scales of the large and very large flow motions on the wall-normal location, the azimuthal separation, the streamwise wavenumber and the Reynolds number. Along the logarithmic region, a linear growth of the azimuthal scales of the large- and very-large-scale structures was observed; however, they do scale nonlinearly and reach their maximum sizes in the core region, i.e. near the centreline of the pipe. Additionally, the streamwise very-large- and large-scale motions were evaluated using the premultiplied energy spectra, showing wavelengths ${\approx }{18R}$ and ${\approx }{3R}$ for ${Re_{\tau }}\approx {16\times {10^3}}$ at half of the pipe radius, respectively.