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The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.

Science

The document outlines the modules in a startup training series. Module 10 covers training, research, and innovation. It is divided into 3 sections: 1) training and development, 2) market research, and 3) innovation. Section 1 addresses topics like building teams, leadership skills, motivation, and lifelong learning. Section 2 covers research methods and topics such as competition analysis and technology trends. Section 3 focuses on creativity, innovation, and managing creative processes. The module provides learning on critical skills for startups in developing people, understanding markets, and driving new ideas.

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Sacred Oak Medical Center proposes partnering with the Texas Department of Justice to build an 80-bed psychiatric hospital and other facilities on state-owned land to provide mental health and substance abuse treatment for inmates. This would help address the current situation where prisons have become the main facilities housing the mentally ill due to lack of psychiatric hospital beds and infrastructure. The new facilities could improve treatment outcomes, decrease costs over time, and help expedite treatment and control the inmate population.

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Q si rids product

Prepare

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The document discusses the results of a study on the effects of a new drug on memory and cognitive function in older adults. The double-blind study involved giving either the new drug or a placebo to 100 volunteers aged 65-80 over a 6 month period. Testing showed those receiving the drug experienced statistically significant improvements in short-term memory retention and processing speed compared to the placebo group.

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Discovery of An Apparent Red, High-Velocity Type Ia Supernova at 𝐳 = 2.9 wi...

Sérgio Sacani

We present the JWST discovery of SN 2023adsy, a transient object located in a host galaxy JADES-GS + 53.13485 − 27.82088 with a host spectroscopic redshift of 2.903 ± 0.007 . The transient was identified in deep James Webb Space Telescope (JWST)/NIRCam imaging from the JWST Advanced Deep Extragalactic Survey (JADES) program. Photometric and spectroscopic followup with NIRCam and NIRSpec, respectively, confirm the redshift and yield UV-NIR light-curve, NIR color, and spectroscopic information all consistent with a Type Ia classification. Despite its classification as a likely SN Ia, SN 2023adsy is both fairly red ( � ⁢ ( � − � ) ∼ 0.9 ) despite a host galaxy with low-extinction and has a high Ca II velocity ( 19 , 000 ± 2 , 000 km/s) compared to the general population of SNe Ia. While these characteristics are consistent with some Ca-rich SNe Ia, particularly SN 2016hnk, SN 2023adsy is intrinsically brighter than the low- � Ca-rich population. Although such an object is too red for any low- � cosmological sample, we apply a fiducial standardization approach to SN 2023adsy and find that the SN 2023adsy luminosity distance measurement is in excellent agreement ( ≲ 1 ⁢ � ) with Λ CDM. Therefore unlike low- � Ca-rich SNe Ia, SN 2023adsy is standardizable and gives no indication that SN Ia standardized luminosities change significantly with redshift. A larger sample of distant SNe Ia is required to determine if SN Ia population characteristics at high- � truly diverge from their low- � counterparts, and to confirm that standardized luminosities nevertheless remain constant with redshift.

Mechanisms and Applications of Antiviral Neutralizing Antibodies - Creative B...

Creative-Biolabs

Neutralizing antibodies, pivotal in immune defense, specifically bind and inhibit viral pathogens, thereby playing a crucial role in protecting against and mitigating infectious diseases. In this slide, we will introduce what antibodies and neutralizing antibodies are, the production and regulation of neutralizing antibodies, their mechanisms of action, classification and applications, as well as the challenges they face.

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MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...

ABHISHEK SONI NIMT INSTITUTE OF MEDICAL AND PARAMEDCIAL SCIENCES , GOVT PG COLLEGE NOIDA

Microbial interaction Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways. One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont. Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition Types of microbial interaction Positive interaction: mutualism, proto-cooperation, commensalism Negative interaction: Ammensalism (antagonism), parasitism, predation, competition I. Mutualism: It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other. Mutualistic relationship is very specific where one member of association cannot be replaced by another species. Mutualism require close physical contact between interacting organisms. Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone. Mutualistic relationship between organisms allows them to act as a single organism. Examples of mutualism: i. Lichens: Lichens are excellent example of mutualism. They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called II. Syntrophism: It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism. In syntrophism both organism in association gets benefits. Compound A Utilized by population 1 Compound B Utilized by population 2 Compound C utilized by both Population 1+2 Products In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone. Examples of syntrophism: i. Methanogenic ecosystem in sludge digester Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria. Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane. ii. Lactobacillus arobinosus and Enterococcus faecalis: In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone. The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid

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Post translation modification by Suyash Garg

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(June 12, 2024) Webinar: Development of PET theranostics targeting the molecu...

Scintica Instrumentation

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SDSS1335+0728: The awakening of a ∼ 106M⊙ black hole⋆

Sérgio Sacani

Context. The early-type galaxy SDSS J133519.91+072807.4 (hereafter SDSS1335+0728), which had exhibited no prior optical variations during the preceding two decades, began showing significant nuclear variability in the Zwicky Transient Facility (ZTF) alert stream from December 2019 (as ZTF19acnskyy). This variability behaviour, coupled with the host-galaxy properties, suggests that SDSS1335+0728 hosts a ∼ 106M⊙ black hole (BH) that is currently in the process of ‘turning on’. Aims. We present a multi-wavelength photometric analysis and spectroscopic follow-up performed with the aim of better understanding the origin of the nuclear variations detected in SDSS1335+0728. Methods. We used archival photometry (from WISE, 2MASS, SDSS, GALEX, eROSITA) and spectroscopic data (from SDSS and LAMOST) to study the state of SDSS1335+0728 prior to December 2019, and new observations from Swift, SOAR/Goodman, VLT/X-shooter, and Keck/LRIS taken after its turn-on to characterise its current state. We analysed the variability of SDSS1335+0728 in the X-ray/UV/optical/mid-infrared range, modelled its spectral energy distribution prior to and after December 2019, and studied the evolution of its UV/optical spectra. Results. From our multi-wavelength photometric analysis, we find that: (a) since 2021, the UV flux (from Swift/UVOT observations) is four times brighter than the flux reported by GALEX in 2004; (b) since June 2022, the mid-infrared flux has risen more than two times, and the W1−W2 WISE colour has become redder; and (c) since February 2024, the source has begun showing X-ray emission. From our spectroscopic follow-up, we see that (i) the narrow emission line ratios are now consistent with a more energetic ionising continuum; (ii) broad emission lines are not detected; and (iii) the [OIII] line increased its flux ∼ 3.6 years after the first ZTF alert, which implies a relatively compact narrow-line-emitting region. Conclusions. We conclude that the variations observed in SDSS1335+0728 could be either explained by a ∼ 106M⊙ AGN that is just turning on or by an exotic tidal disruption event (TDE). If the former is true, SDSS1335+0728 is one of the strongest cases of an AGNobserved in the process of activating. If the latter were found to be the case, it would correspond to the longest and faintest TDE ever observed (or another class of still unknown nuclear transient). Future observations of SDSS1335+0728 are crucial to further understand its behaviour. Key words. galaxies: active– accretion, accretion discs– galaxies: individual: SDSS J133519.91+072807.4

Embracing Deep Variability For Reproducibility and Replicability

University of Rennes, INSA Rennes, Inria/IRISA, CNRS

Embracing Deep Variability For Reproducibility and Replicability Abstract: Reproducibility (aka determinism in some cases) constitutes a fundamental aspect in various fields of computer science, such as floating-point computations in numerical analysis and simulation, concurrency models in parallelism, reproducible builds for third parties integration and packaging, and containerization for execution environments. These concepts, while pervasive across diverse concerns, often exhibit intricate inter-dependencies, making it challenging to achieve a comprehensive understanding. In this short and vision paper we delve into the application of software engineering techniques, specifically variability management, to systematically identify and explicit points of variability that may give rise to reproducibility issues (eg language, libraries, compiler, virtual machine, OS, environment variables, etc). The primary objectives are: i) gaining insights into the variability layers and their possible interactions, ii) capturing and documenting configurations for the sake of reproducibility, and iii) exploring diverse configurations to replicate, and hence validate and ensure the robustness of results. By adopting these methodologies, we aim to address the complexities associated with reproducibility and replicability in modern software systems and environments, facilitating a more comprehensive and nuanced perspective on these critical aspects. https://hal.science/hal-04582287

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