Solar neighborhoods: the impact of urban layout on a large-scale solar strategies application.

The article addresses the challenges of evaluating energy performance in different neighborhood settings under various energy efficiency measures and proposes a methodology for selecting appropriate solar strategies on a neighborhood scale. The study selects five representative neighborhoods from various climatic zones with different building and street layouts. The proposed methodology involves a systematic three-step multi-domain workflow for implementing energy efficiency measures and solar strategies in the existing neighborhoods.

A Comprehensive Investigation of Risk Association Between the -786 T > C, + 884 G > A, VNTR, rs743506, rs3918226 of eNOS and Susceptibility of Migraine: A Updated Meta-Analysis Utilizing Trial Sequential Analysis.

With a feature of complex pathogenic mechanisms, migraine is a well-known common neurovascular disorder. Multiple genes are responsible for hindering the susceptibility of pain threshold one of which is the eNOS gene and its variants. Multiple independent observational studies with case-control design produced conflicting findings, which can be attributed to a variety of factors including varying sample sizes, demographic stratification, technique application, etc.

Synergistic Inhibitory Effect of Quercetin and Cyanidin-3O-Sophoroside on ABCB1.

The human ABCB1 (P-glycoprotein, Pgp) protein is an active exporter expressed in the plasma membrane of cells forming biological barriers. In accordance with its broad substrate spectrum and tissue expression pattern, it affects the pharmacokinetics of numerous chemotherapeutic drugs and it is involved in unwanted drug-drug interactions leading to side effects or toxicities. When expressed in tumor tissues, it contributes to the development of chemotherapy resistance in malignancies.

Deep learning supported machine vision system to precisely automate the wild blueberry harvester header.

An operator of a wild blueberry harvester faces the fatigue of manually adjusting the height of the harvester's head, considering spatial variations in plant height, fruit zone, and field topography affecting fruit yield. For stress-free harvesting of wild blueberries, a deep learning-supported machine vision control system has been developed to detect the fruit height and precisely auto-adjust the header picking teeth rake position. The OpenCV AI Kit (OAK-D) was used with YOLOv4-tiny deep learning model with code developed in Python to solve the challenge of matching fruit heights with the harvester's head position.

Factors affecting the treatment outcome of injection based shorter MDR-TB regimen at a referral centre in India.

Rifampicin-resistant/multidrug-resistant tuberculosis (RR/MDR-TB) is a significant burden on global tuberculosis (TB) prevention and eradication efforts. MDR-TB can be treated, but it is expensive, takes a long time (typically two years) and contains potentially toxic drugs. Under certain conditions, the WHO recommends standard regimens lasting 9 to 11 months rather than individual regimens lasting at least 18-20 months.

LiteCovidNet: A lightweight deep neural network model for detection of COVID-19 using X-ray images.

The syndrome called COVID-19 which was firstly spread in Wuhan, China has already been declared a globally "Pandemic." To stymie the further spread of the virus at an early stage, detection needs to be done. Artificial Intelligence-based deep learning models have gained much popularity in the detection of many diseases within the confines of biomedical sciences.

The complexities of migraine: A debate among migraine researchers: A review.

Migraine is indeed a neurovascular disorder for which several genes have been identified in this era of Genome-Wide Association Studies (GWAS) and neuroimaging studies have already revealed structural changes and different mechanisms that cause migraine, but the exact cause of this debilitating and disabling neurovascular disorder remained unclear. Low neuronal hyperexcitability ("the migrainous brain") is set and hindered by genetic and environmental factors, respectively. Migraine is also found to be associated with different diseases (co-morbidity).

CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks.

Many countries around the world have been influenced by Covid-19 which is a serious virus as it gets transmitted by human communication. Although, its syndrome is quite similar to the ordinary flu. The critical step involved in Covid-19 is the initial screening or testing of the infected patients.

Effects of Polyphenols on P-Glycoprotein (ABCB1) Activity.

P-glycoprotein (Pgp, ABCB1) is a member of one of the largest families of active transporter proteins called ABC transporters. Thanks to its expression in tissues with barrier functions and its broad substrate spectrum, it is an important determinant of the absorption, metabolism and excretion of many drugs. Pgp and/or some other drug transporting ABC proteins (e.

Black fungus immunosuppressive epidemic with Covid-19 associated mucormycosis (zygomycosis): a clinical and diagnostic perspective from India.

The catastrophic phase of Covid-19 turns the table over with the spread of its disastrous transmission network throughout the world. Covid-19 associated with mucormycosis fungal infection accompanied by opportunistic comorbidities have emerged the myriad of complications and manifestations. We searched the electronic databases of Google Scholar, PubMed, Springer, and Elsevier until June 05, 2021, using keywords.

Administration of cyclic glycine-proline during infancy improves adult spatial memory, astrocyte plasticity, vascularization and GluR-1 expression in rats.

Cyclic glycine-proline (cGP) is a natural nutrient of breast milk and plays a role in regulating the function of insulin-like growth factor-1 (IGF-1). IGF-1 function is essential for post-natal brain development and adult cognitive function. We evaluated the effects of cGP on spatial memory and histological changes in the hippocampus of the adult rats following infancy administration.

Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic.

The pandemic of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is spreading all over the world. Medical health care systems are in urgent need to diagnose this pandemic with the support of new emerging technologies like artificial intelligence (AI), internet of things (IoT) and Big Data System. In this dichotomy study, we divide our research in two ways-, the review of literature is carried out on databases of Elsevier, Google Scholar, Scopus, PubMed and Wiley Online using keywords Coronavirus, Covid-19, artificial intelligence on Covid-19, Coronavirus 2019 and collected the latest information about Covid-19.

Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study.

Covid-19 is a highly contagious virus which almost freezes the world along with its economy. Its ability of human-to-human and surface-to-human transmission turns the world into catastrophic phase. In this study, our aim is to predict the future conditions of novel Coronavirus to recede its impact.

Swing door technique for uncinectomy versus standard technique: a comparative study.

Introduction: Uncinectomy can be performed using various methods. The aim of the present study was to compare the results and complications of uncinectomy and middle meatus antrostomy using the standard and swing door techniques during functional endoscopic sinus surgery.

Methods: In a prospective controlled study, 60 patients (aged 18-50 years) suffering from chronic maxillary sinusitis underwent functional endoscopic sinus surgery from January 2007 to December 2008 at a tertiary care centre.

Cyclic-glycine-proline accelerates mammary involution by promoting apoptosis and inhibiting IGF-1 function.

In rodents, post-lactational involution of mammary glands is characterized by the loss of mammary epithelial cells via apoptosis, which is associated with a decline in the expression of insulin-like growth factor-1 (IGF-1). Overexpression of IGF-1 delays involution by inhibiting apoptosis of epithelial cells and preserving the remaining secretory alveoli. Cyclic-glycine-proline (cGP), a metabolite of IGF-1, normalizes IGF-1 function under pathological conditions by regulating the bioavailability of IGF-1.

Tight Junction Protein Abundance and Apoptosis During Involution of Rat Mammary Glands.

To examine tight junction protein abundance and apoptosis of epithelial cells at the onset of involution in rodent mammary glands, milk accumulation and mammary engorgement were induced by teat-sealing with an adhesive for 0, 6, 12, 18, 24, and 36 h (n = 6 per group) at peak lactation. In non-sealed control glands, histological analysis confirmed a lactating phenotype, indicating suckling by pups throughout the experiment. In contrast, alveoli of teat-sealed glands were distended within 6 h, with maximal luminal size observed by 12 h of non-suckling.

Maternally Administered Cyclic Glycine-Proline Increases Insulin-Like Growth Factor-1 Bioavailability and Novelty Recognition in Developing Offspring.

Cyclic glycine-proline (cGP), a metabolite of IGF-1, is an endogenous neuropeptide that improves memory in adult rats. The presence and concentrations of endogenous cGP, and its association with IGF-1 and IGF binding protein-3 (IGFBP-3) in rat milk and plasma, were evaluated during postnatal development. Maternal-infantile transfer of cGP during lactation and its efficacy on the memory of developing offspring were also investigated.

Prenatal maternal and possible transgenerational epigenetic effects on milk production.

This study investigated whether the prenatal maternal environment in dairy cattle influences the postnatal milking performance of the resulting daughters and grand-daughters. Linear mixed models were used to analyse whole season milk production from ∼ 46,000 Jersey and ∼ 123,000 Holstein Friesian cows in their 1st and 2nd lactations. Variation in the prenatal environment was associated with a small but significant (P<0.

The role of tight junctions in mammary gland function.

Tight junctions (TJ) are cellular structures that facilitate cell-cell communication and are important in maintaining the three-dimensional structure of epithelia. It is only during the last two decades that the molecular make-up of TJ is becoming unravelled, with two major transmembrane-spanning structural protein families, called occludin and claudins, being the true constituents of the TJ. These TJ proteins are linked via specific scaffolding proteins to the cell's cytoskeleton.

Characterization of primary cilia distribution and morphology during lactation, stasis, and involution in the bovine mammary gland.

Primary cilia are small, sensory organelles projecting from virtually all cells and are vital for cellular and tissue function. Their distribution in bovine mammary tissue has not previously been assessed, despite the potential for these organelles to provide specialized perceptive and regulatory functions to this acutely responsive and adaptive gland. The research objectives were to assess ciliary distribution and morphology during active lactation, milk stasis, and early involution using tissue samples obtained following the abrupt cessation of milk removal in nonpregnant, Friesian dairy cows at mid-lactation.

Epigenetic regulation of milk production in dairy cows.

It is well established that milk production of the dairy cow is a function of mammary epithelial cell (MEC) number and activity and that these factors can be influenced by diverse environmental influences and management practises (nutrition, milk frequency, photoperiod, udder health, hormonal and local effectors). Thus, understanding how the mammary gland is able to respond to these environmental cues provides a huge potential to enhance milk production of the dairy cow. In recent years our understanding of molecular events within the MEC underlying bovine lactation has been advanced through mammary microarray studies and will be further advanced through the recent availability of the bovine genome sequence.

Evaluation of four methods for processing human cord blood and subsequent study of the expansion of progenitor stem cells isolated using the best method.

Background Aims: The application of cord blood (CB)-derived hematopoietic cells in allogeneic transplantation has been restricted because of the unavailability of adequate cell numbers from one unit of CB and their delayed engraftment in recipients. The main purpose of this study was to develop an economic process for isolating nucleated cells from CB and expanding enriched CD133(+) cells.

Methods: Four protocols for processing CB, using different combinations of density-gradient centrifugation, hydroxyethyl starch (HES) and NH4Cl treatment, were compared regarding the yields of CD45(+), CD34(+)/CD133(+) and colony-forming cells.

The bovine lactation genome: insights into the evolution of mammalian milk.

Background: The newly assembled Bos taurus genome sequence enables the linkage of bovine milk and lactation data with other mammalian genomes.

Results: Using publicly available milk proteome data and mammary expressed sequence tags, 197 milk protein genes and over 6,000 mammary genes were identified in the bovine genome. Intersection of these genes with 238 milk production quantitative trait loci curated from the literature decreased the search space for milk trait effectors by more than an order of magnitude.

The acute-phase protein serum amyloid A3 is expressed in the bovine mammary gland and plays a role in host defence.

The serum amyloid A protein is one of the major reactants in the acute-phase response. Using representational difference analysis comparing RNA from normal and involuting quarters of a dairy cow mammary gland, we found an mRNA encoding the SAA3 protein (M-SAA3). The M-SAA3 mRNA was localized to restricted populations of bovine mammary epithelial cells (MECs).

Depression in Dhat syndrome.

Aims And Objectives: Dhat syndrome is a widely recognized clinical condition in the Indian subcontinent characterized by excessive preoccupation with semen loss as the main presenting complaint. This condition has been considered to be a culture-bound syndrome, and depressive symptoms have previously been reported. We were interested to know how common depression is, and to quantify these features.