Improved estimation of carbon dioxide and methane using machine learning with satellite observations over the Arabian Peninsula.

Estimating spatiotemporal maps of greenhouse gases (GHGs) is important for understanding climate change and developing mitigation strategies. However, current methods face challenges, including the coarse resolution of numerical models, and gaps in satellite data, making it essential to improve the spatiotemporal estimation of GHGs. This study aims to develop an advanced technique to produce high-fidelity (1 km) maps of CO and CH over the Arabian Peninsula, a highly vulnerable region to climate change.

The aluminum standard: using generative Artificial Intelligence tools to synthesize and annotate non-structured patient data.

Background: Medical narratives are fundamental to the correct identification of a patient's health condition. This is not only because it describes the patient's situation. It also contains relevant information about the patient's context and health state evolution.

Attenuation of Chronic Oxidative Stress-Induced Testicular and Epididymal Dysfunction by Oral Intake of Lepidium meyenii in New Zealand Rabbits.

Lepidium meyenii (Maca) is a plant that has nutritional benefits and increases the effectiveness of male reproduction. In this study, oxidative stress-exposed New Zealand rabbits were used to assess the ameliorative effects of daily Maca ingestion on testicular and epididymal tissues as well as the quality of fresh and frozen/thawed sperm. Twenty-four 40-week-old, healthy New Zealand white male rabbits were divided into four groups.

Identification and characterization of host miRNAs that target the mouse mammary tumour virus (MMTV) genome.

The intricate interplay between viruses and hosts involves microRNAs (miRNAs) to regulate gene expression by targeting cellular/viral messenger RNAs (mRNAs). Mouse mammary tumour virus (MMTV), the aetiological agent of breast cancer and leukaemia/lymphomas in mice, provides an ideal model to explore how viral and host miRNAs interact to modulate virus replication and tumorigenesis. We previously reported dysregulation of host miRNAs in MMTV-infected mammary glands and MMTV-induced tumours, suggesting a direct interaction between MMTV and miRNAs.

Expanding the phenotyping spectrum of Witteveen Kolk syndrome: first report of generalized dystonia and cerebellar ataxia.

Witteveen-Kolk syndrome (WITKOS) is an autosomal dominant disorder characterized by distinct facial features, microcephaly, short stature, intellectual disability, and subtle neuroimaging abnormalities. The syndrome is attributed to a loss of function mutation in the SIN3A gene, a member of the switch-insensitive 3 transcription regulator family. Herein, we present a 21-year-old woman with dysmorphic facial features, short stature, and a chronic, progressively worsening symmetric cerebellar ataxia, along with generalized dystonia.

Transactivation of the novel 5' cis-acting element of mouse mammary tumor virus (MMTV) by human retroviral transactivators Tat and Tax.

The mouse mammary tumor virus (MMTV) encodes a 5' element crucial for transcription of its genome along with the Rem/Rem-responsive element (RmRE) responsible for nuclear export of this unspliced RNA. Whether the 5' element is Rem-responsive or has any functional interaction with host/viral factors to facilitate MMTV gene expression was tested in this study. Our results reveal that the 5' element is non-responsive to Rem, but can be transactivated by both HIV Tat and HTLV-1 Tax activators.

MMTV RNA packaging requires an extended long-range interaction for productive Gag binding to packaging signals.

The packaging of genomic RNA (gRNA) into retroviral particles relies on the specific recognition by the Gag precursor of packaging signals (Psi), which maintain a complex secondary structure through long-range interactions (LRIs). However, it remains unclear whether the binding of Gag to Psi alone is enough to promote RNA packaging and what role LRIs play in this process. Using mouse mammary tumor virus (MMTV), we investigated the effects of mutations in 4 proposed LRIs on gRNA structure and function.

Use of as a Soybean Meal Substitute: A Step towards Sustainable Transformative Poultry Feeds.

Insects are becoming increasingly popular as a sustainable and nutritious alternative protein source in poultry feeds, due to their high protein content, low environmental impact, and efficient feed conversion rates. Using insect-based feeds can reduce the need for traditional protein sources like soybean meal (SBM), which often contribute to environmental issues such as deforestation and high water consumption. The current experiments were devised to assess the impacts of the partial replacement of SBM with the American cockroach and black soldier fly on the performances, hematology, gut morphometry, and meat quality of male broilers (Ross 308).

Microstructural architecture of the bony scutes, spine, and rays of the bony fins in the common pleco .

Studying scute and fin morphology are advantageous approaches for phylogenetic identification and provide information on biological linkages and evolutionary history that are essential for deciphering the fossil record. Despite this, no prior research has precisely characterized the histological structures of scutes in the common pleco. Therefore, this research investigated the microstructure and organization of bone tissue within the dermal skeleton, including the scutes and fins, in the common pleco, using light microscopy, stereomicroscopy, and scanning electron microscopy.

The Host miR-17-92 Cluster Negatively Regulates Mouse Mammary Tumor Virus (MMTV) Replication Primarily Via Cluster Member miR-92a.

The mouse mammary tumor virus (MMTV) is a well-known causative agent of breast cancer in mice. Previously, we have shown that MMTV dysregulates expression of the host miR-17-92 cluster in MMTV-infected mammary glands and MMTV-induced tumors. This cluster, better known as oncomiR-1, is frequently dysregulated in cancers, particularly breast cancer.

Green gold or carbon beast? Assessing the environmental implications of cryptocurrency trading on clean water management and carbon emission SDGs.

This study addresses the ongoing debate concerning the environmental implications of cryptocurrencies. Specifically, it investigates the impact of Bitcoin trading volume on water and sanitation (Sustainable Development Goal (SDG) 6) and climate action (SDG 13). The research employs Ordinary Least Squares (OLS) panel data analysis to examine these relationships using a sample of 32 countries with available Bitcoin trading volume data from 2013 to 2020.

Efficacy of SGLT2 inhibitors for anthracycline-induced cardiotoxicity: a meta-analysis in cancer patients.

Sodium-glucose cotransporter-2 inhibitors (SGLT2i) lower anthracycline-induced cardiotoxicity. PubMed and Google Scholar were searched until September 2023 for studies regarding SGLT2i for treating anthracycline-induced cardiotoxicity. Overall mortality and cardiovascular events were considered.

Liquid and Solid Hybridization Methods to Detect RNAs.

Northern blotting (NB) has been a long-standing method for RNA detection. However, its labor-intensive nature, reliance on high-quality RNA, and use of radioactivity have diminished its appeal over time. Nevertheless, the emergence of microRNAs (miRNAs) has reignited the demand for sensitive and quantitative NB techniques.

Congenital and gynecological tumors: A review.

Congenital tumors are rare, and malignant congenital tumors are uncommon. Benign tu,mors might be life-threatening, depending on the location and size of the tumor. Different factors affect congenital tumors, such as maternal and placental hormones and environmental factors such as drugs, radiation, and infection.

Synthesis of new quaternized chitosan Schiff bases and their N-alkyl derivatives as antimicrobial and anti-biofilm retardants in membrane technology.

New quaternized salicylidene chitosan Schiff bases (QSCSBs) and their N-octyl derivatives (OQCs) have been synthesized and characterized, aiming to develop innovative antimicrobial and anti-biofilm agents. This research holds immense potential, as these compounds could be utilized as anti-biofouling additives in membrane technology in the future. The synthesis involved the modification of low molecular-weight-chitosan (LMC) through simultaneous Schiff base formation and quaternization processes to create QSCSBs.

Sepsis Unveils T-cell Large Granular Lymphocytic Leukemia in the Setting of End-Stage Renal Disease: A Rare Hematologic Malignancy.

Large granular lymphocytic (LGL) leukemia is a rare chronic lymphoproliferative disorder originating from natural killer cells or T lymphocytes. In this report, we present the case of a 66-year-old female initially treated for sepsis, withmethicillin-sensitive  identified on initial blood culture prompting intravenous (IV) antibiotic therapy. The patient met systemic inflammatory response syndrome criteria upon admission due to severe neutropenia.

Spatiotemporal investigation of near-surface CH and factors influencing CH over South, East, and Southeast Asia.

Methane (CH) is the second most abundant greenhouse gas after CO, which plays the most important role in global and regional climate change. To explore the long-term spatiotemporal variations of near-surface CH, datasets were extracted from Greenhouse gases Observing SATellite (GOSAT), and the Copernicus Atmospheric Monitoring Service (CAMS) reanalyzed datasets from June 2009 to September 2020 over South, East, and Southeast Asia. The accuracy of near-surface CH from GOSAT and CAMS was verified against surface observatory stations available in the study region to confirm both dataset applicability and results showed significant correlations.

An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system.

The Tennessee Eastman Process (TEP) is widely recognized as a standard reference for assessing the effectiveness of fault detection and false alarm tracking methods in intricate industrial operations. This paper presents a novel methodology that employs the Adaptive Crow Search Algorithm (ACSA) to improve fault identification capabilities and mitigate the occurrence of false alarms in the TEP. The ACSA is an optimization approach that draws inspiration from the observed behavior of crows in their natural environment.