Enhancing Persian text summarization through a three-phase fine-tuning and reinforcement learning approach with the mT5 transformer model.

In the contemporary era, grappling with the vast expanse of big data presents a formidable obstacle, particularly when it comes to extracting vital information from extensive textual sources. The constant influx of news articles from various agencies necessitates an enormous amount of time to digest comprehensively. A viable solution to address this challenge lies in the realm of automatic text summarization, which is a pivotal and intricate endeavor within the field of natural language processing.

The implication of TET1, miR-200, and miR-494 expression with tumor formation in colorectal cancer: through targeting Wnt signaling.

Objective: Colorectal cancer (CRC) is a diverse and multifaceted disease characterized by genetic and epigenetic changes that contribute to tumor initiation and progression. CRC pathophysiology has been linked to the deregulation of the Wnt signaling pathway and the ten-eleven translocation (TET) DNA demethylases. This study aimed to evaluate the expression level of selective miRNAs (miR-200 and miR-494), TET1, and Wnt1 in colorectal polyps, actual colorectal tumors, and normal adjacent tissues.

Aquaporin expression in cryopreserved human sperm: exploring the capabilities of natural deep eutectic solvents (NADEs).

Background: Aquaporins (AQPs) are essential proteins that facilitate the rapid movement of water and cryoprotective agents (CPAs) during the cryopreservation process, and ensure the cryo-tolerance of sperm cells.

Objective: This study evaluated the preservation of aquaporin levels in human sperm after undergoing freezing using natural deep eutectic solvents (NADES) as CPAs for cryoprotection.

Materials And Methods: From June 2021 to October 2022, 35 semen samples with normal sperm parameters were acquired from the Mehr Infertility Treatment Institute in Rasht, Iran.

AFEX-Net: Adaptive feature extraction convolutional neural network for classifying computerized tomography images.

Purpose: Deep convolutional neural networks are favored methods that are widely used in medical image processing due to their demonstrated performance in this area. Recently, the emergence of new lung diseases, such as COVID-19, and the possibility of early detection of their symptoms from chest computerized tomography images has attracted many researchers to classify diseases by training deep convolutional neural networks on lung computerized tomography images. The trained networks are expected to distinguish between different lung indications in various diseases, especially at the early stages.

Exploring Common Symptoms in Patients with Respiratory Allergies Using K-Means Algorithm in the North-East of Iran in 2012-2015.

Background: As a common disease among people of almost any age, allergic rhinitis has many adverse effects such as lowering the quality of life and efficiency at work or school. Considering these conditions and the collection of large amounts of data, the present research was conducted on allergic rhinitis and asthma patients' data to extract the common symptoms of these diseases using cluster analysis and the k-means algorithm.

Materials And Methods: The present cross-sectional research was conducted in Mashhad city.

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.

Background: The severity of coronavirus (COVID-19) in patients with chronic comorbidities is much higher than in other patients, which can lead to their death. Machine learning (ML) algorithms as a potential solution for rapid and early clinical evaluation of the severity of the disease can help in allocating and prioritizing resources to reduce mortality.

Objective: The objective of this study was to predict the mortality risk and length of stay (LoS) of patients with COVID-19 and history of chronic comorbidities using ML algorithms.

Effects of cryopreservation in the presence of Natural Deep Eutectic Solvents (NADESs) on sperm parameters.

Natural Deep Eutectic Solvents (NADESs) are being considered as a potential alternative to traditional cryoprotective agents (CPAs) in sperm freezing. The study aimed to assess the effects of NADESs as a CPA on human sperm parameters. A total of 32 normozoospermic semen samples were collected from the Alzahra infertility treatment center (Iran) between July 2021 and September 2022.

Effect of in ovo feeding of folic acid on brain derived neurotrophic factor (BDNF) and gga-miR-190a-3p expression in the developing cerebral cortex of chickens.

Folate plays important role in biosynthesis of purine and pyrimidine nucleotides and is therefore crucial for DNA synthesis and neurogenesis in fetal brains. Many genes comprising brain derived neurotrophic factor (BDNF) and miRNAs have been shown to play important role in brain development. Gga-miR-190a-3p targets many genes including BDNF.

Association between Glucose Consumption and Oocyte Maturation Competence in Mice with Polycystic Ovarian Syndrome.

Background: This study evaluated association between glucose uptake by individually cultured oocyte and their maturation competence in mice with polycystic ovarian syndrome (PCOS).

Materials And Methods: In this experimental study, PCOS and non-PCOS cumulus-oocyte complexes (COCs), and cumulus-denuded oocytes (DOs) were cultured individually and categorized in four groups: i. PCOS DOs (n=83), ii.

TEffect of Single Embryo Blastomere Biopsy from Human Frozen Embryos on Assisted Reproductive Outcomes.

Objective: Preimplantation genetic testing for aneuploidies (PGT-A) is used to determine chromosomal normality and achieve a successful live birth in infertile couples. There is a possible correlation between chromosomal aneuploidy, embryo development and pregnancy rate. This study evaluated the influence of single blastomere biopsy (SBB) on embryo development and pregnancy rates during frozen embryo transfer (FET) and fresh cycles.

Morphometric evaluation of two-pronucleus zygote images using image-processing techniques.

Identifying embryos with a high potential for implementation remains a challenge in fertilization (IVF) cycles. Despite progress in IVF treatment, only a minority of generated embryos has the ability to implant. Another drawback of this practice is the high frequency of multiple pregnancies.

Predicting and classifying hearing loss in sailors working on speed vessels using neural networks: a field study.

 Noise-induced hearing loss (NIHL) is one of the main risk factors affecting people's health and wellbeing in the workplace. Analysing NIHL and consequently controlling the causing factors can significantly affect the improvement of working environments. Methods: One hundred and twelve male sailors participated in this study.

Metformin, clomiphene citrate and flutamide effects on oocyte ultrastructure status and quality in PCOS mouse model.

Research Question: Polycystic ovary syndrome (PCOS) alters oocyte developmental competence and so the treatment of PCOS patients with assisted reproductive techniques is a major challenge for an infertility specialist. Does ovulation induction therapy with clomiphene citrate, metformin and flutamide affect abnormal PCOS follicle gene expression, its quality, and nuclear and cytoplasmic maturation in the oocyte matured in vitro?

Design: Fifty NMRI mice (7-8 weeks old) were randomly divided into five groups, including non-PCOS, PCOS and PCOS groups treated with clomiphene citrate (18 mg/kg body weight for 2 days), metformin (50 mg/100 g body weight for 30 days) and flutamide (10 mg/kg body weight injection for 15 days). The oocytes were collected for quantitative real-time polymerase chain reaction analysis (the evaluation of genes associated with oocyte maturation), transmission electron microscopy (the evaluation of cytoplasmic maturation) and in-vitro maturation (IVM) and IVF outcomes.

The Emerging Role of LncRNA FENDRR in Multiple Cancers: A Review.

Long noncoding RNAs (lncRNAs) are prominent as crucial regulators of tumor establishment and are repeatedly dysregulated in multiple cancers. Therefore, lncRNAs have been identified to play an essential function in carcinogenesis and progression of cancer at genetic and epigenetic levels. FENDRR (fetal-lethal noncoding developmental regulatory RNA) as a LncRNA is a hallmark of various malignancies.

Using Deep Learning Algorithm: The Study of Sperm Head Vacuoles and Its Correlation with Protamine mRNA Ratio.

Objective: It is necessary to evaluate fertility effective agents to predict assisted reproduction outcomes. This study was designed to examine sperm vacuole characteristics, and its association with sperm chromatin status and protamine-1 () to protamine-2 () ratio, to predict assisted pregnancy outcomes.

Materials And Methods: In this experimental study, ninety eight semen samples from infertile men were classified based on Vanderzwalmen's criteria as follows: grade I: no vacuoles; grade II: ≤2 small vacuoles; grade III: ≥1 large vacuole and grade IV: large vacuole with other abnormalities.

The reaggregation of normal granulosa-cumulus cells and mouse oocytes with polycystic ovarian syndrome in vitro: An experimental study.

Background: The dialogue between oocytes and their surrounding cells plays a major role in the progress of oocyte meiosis and their developmental potential.

Objective: This study aimed to evaluate the effect of co-culture of normal granulosa-cumulus cells (GCCs) with oocytes from polycystic ovarian syndrome (PCOS) mice.

Materials And Methods: Normal GCCs were collected from 10 virgin adult Naval Medical Research Institute female mice (30-35 gr, 7-8 wk old), and were cultured in an alpha-minimum essential medium supplemented with 5% fetal calf serum for 24-48 hr (1 10 cells/well).

Predicting Mortality of COVID-19 Patients based on Data Mining Techniques.

If Coronavirus (COVID-19) is not predicted, managed, and controlled timely, the health systems of any country and their people will face serious problems. Predictive models can be helpful in health resource management and prevent outbreak and death caused by COVID-19. The present study aimed at predicting mortality in patients with COVID-19 based on data mining techniques.

Staphylococcus saprophyticus and Escherichia coli: Tracking from sperm fertility potential to assisted reproductive outcomes.

Objective: Bacteriospermia and urogenital infections are common problems in male infertility. This study aimed to evaluate the effects of bacteriospermia on sperm parameters and clinical outcomes in semen samples infected with two common bacteria (Staphylococcus saprophyticus and Escherichia coli) in northern Iran.

Methods: Microbiological tests were performed to isolate and identify organisms from 435 semen samples from infertile couples.

Machine Learning Models for Image-Based Diagnosis and Prognosis of COVID-19: Systematic Review.

Background: Accurate and timely diagnosis and effective prognosis of the disease is important to provide the best possible care for patients with COVID-19 and reduce the burden on the health care system. Machine learning methods can play a vital role in the diagnosis of COVID-19 by processing chest x-ray images.

Objective: The aim of this study is to summarize information on the use of intelligent models for the diagnosis and prognosis of COVID-19 to help with early and timely diagnosis, minimize prolonged diagnosis, and improve overall health care.

A robust deep learning-based multiclass segmentation method for analyzing human metaphase II oocyte images.

Background And Objective: The morphology of the human metaphase II (MII) oocyte is an essential indicator of the embryo's potential for developing into a healthy baby in the Intra-Cytoplasmic Sperm Injection (ICSI) process. In this case, characteristics such as oocyte and ooplasm area, zona pellucida (ZP) thickness, and perivitelline space (PVS) width are also linked to the embryo's implantation potential. Moreover, oocyte segmentation methods may be of particular interest in those countries' restrictive IVF legislation.

Is it necessary to focus on morphologically normal acrosome of sperm during intracytoplasmic sperm injection?

Background & Objectives: The detailed assessment of sperm morphology is important in the semen of infertile men because there is a low proportion of normal spermatozoa. One of the parameters of such sperm morphology is the acrosome, and its effect on assisted reproductive outcomes is controversial. This study was undertaken to evaluate the association between different forms of acrosome on the chromatin status and the assisted reproductive outcomes.

Comparison of administration of clopidogrel with aspirin versus aspirin alone in prevention of secondary stroke after transient ischemic attack.

Background: Patients with transient ischemic attack (TIA) or minor stroke are at risk of strokes. One of the precautionary measures to reduce risk of stroke in these patients is administration of antiplatelet drugs.

Methods: The aim of this study was comparison of clopidogrel with aspirin versus aspirin alone in prevention of stroke following TIA or acute minor stroke.

More Protection of Lactobacillus acidophilus Than Bifidobacterium bifidum Probiotics on Azoxymethane-Induced Mouse Colon Cancer.

Based on the ability of the probiotics in the gut microflora modification, they can have the beneficial effects on diseases in the short and/or the long term. In previous study, we revealed that unlike Bifidobacterium bifidum, the amount of Lactobacillus acidophilus remained almost unchanged in mice gut microflora in the long term, indicating more stability of L. acidophilus than B.