Human Death Research Articles

The relationship between aggressive driving and driver performance: A systematic review with meta-analysis

Traffic crashes remain a leading cause of accidental human death where aggressive driving is a significant contributing factor. To review the driver’s performance presented in aggressive driving, this systematic review screens 2412 pieces of relevant literature, selects and synthesizes 31 reports with 34 primary studies that investigated the driver’s control performance among the general driver population in four-wheeled passenger vehicles and published with full text in English. These 34 selected studies involved 1731 participants in total. By examining the selected 34 studies, the measures relating to vehicle speed (e.g., mean speed, n = 22), lateral control (e.g., lane deviation, n = 17) and driving errors (e.g., violation of traffic rules, n = 12) were reported most frequently with a significant difference observed between aggressive driving and driving in the control group. The result of the meta-analysis indicates that the aggressive driving behaviour would have 1) a significantly faster speed than the behaviour in the control group with an increase of 5.32 km/h (95% confidence interval, [3.27, 7.37] km/h) based on 8 studies with 639 participants in total; 2) 2.51 times more driving errors (95% confidence interval, [1.32, 3.71] times) than the behaviour in the control group, based on 5 studies with 136 participants in total. This finding can be used to support the identification and quantification of aggressive driving behaviour, which could form the basis of an in-vehicle aggressive driving monitoring system.

Qixue Shuangbu decoction and acupuncture combined with Western medicine in acute severe stroke patients.

Stroke is a common and frequently occurring disease of the nervous system and one of the three major diseases leading to human death. The incidence and mortality of stroke in China increase with age. Overall, 70 % of patients with stroke have serious disability, which results in heavy burden to their families and the society. To analyze the effects of Qixue Shuangbu decoction and acupuncture combined with Western medicine on immune indexes and digestive tract function in patients with acute severe stroke. A total of 68 patients with acute severe stroke admitted to Lanzhou Second People's Hospital between March 2018 and September 2021 were selected and divided into the control and observation groups according to a random number table method. The control group was administered routine Western medicine treatment, such as dehydration, lowering intracranial pressure, anticoagulation, improving cerebral blood circulation and cerebral nerve protection according to the "Guidelines for the Diagnosis and Treatment of Acute Ischemic Stroke in China." The observation group was administered Qixue Shuangbu decoction via nasal feeding tube on the basis of the routine Western medicine treatment with simultaneous acupuncture. The two groups were compared. The acute physiology and chronic health evaluation II, organ dysfunction syndrome score, National Institutes of Health Stroke Scale, and traditional Chinese medicine syndrome scores of the two groups were significantly decreased compared with those measured before treatment, and the complements C3 and C4, and immunoglobulins (Ig) M and G were significantly increased compared with those observed before treatment (P < 0.05). After treatment, the scores of the observation group were lower than those of the control group, and the complement and Ig levels were higher than those of the control group (P < 0.05). The levels of diamine oxidase (DAO), D-lactic acid (D-LA), and calcitonin gene-related peptide (CGRP) in the two groups were significantly higher than those before treatment, while the levels of lipopolysaccharide, ubiquitin carboxyl-terminal hydrolase 1 (UCH-L1), tumor necrosis factor-α (TNF-α), interleukin (IL) -2, and IL-8 were significantly lower than those before treatment (P < 0.05). After treatment, DAO, D-LA, and CGRP were higher in the observation group than in the control group, while lipopolysaccharide, UCH-L1, TNF-α, IL-2, and IL-8 were lower than in the control group (P < 0.05). The hospitalization time of individuals in the observation group was shorter than that of the control group (P < 0.05). Qixue Shuangbu decoction and acupuncture combined with Western medicine for the treatment of acute severe stroke can regulate intestinal flora, reduce inflammation, improve intestinal mucosal barrier function and immune function related indicators, and promote recovery.

Metabolic stress-induced human beta-cell death is mediated by increased intracellular levels of adenosine.

High intracellular concentrations of adenosine and 2'-deoxyadenosine have been suggested to be an important mediator of cell death. The aim of the present study was to characterize adenosine-induced death in insulin-producing beta-cells, at control and high glucose + palmitate-induced stress conditions. Human insulin-producing EndoC-betaH1 cells were treated with adenosine, 2'-deoxyadenosine, inosine and high glucose + sodium palmitate, and death rates using flow cytometry were studied. We observed that adenosine and the non-receptor-activating analogue 2-deoxyadenosine, but not the adenosine deamination product inosine, promoted beta-cell apoptosis at concentrations exceeding maximal adenosine-receptor stimulating concentrations. Both adenosine and inosine were efficiently taken up by EndoC-betaH1 cells, and inosine counteracted the cell death promoting effect of adenosine by competing with adenosine for uptake. Both adenosine and 2'-deoxyadenosine promptly reduced insulin-stimulated production of plasma membrane PI(3,4,5)P3, an effect that was reversed upon wash out of adenosine. In line with this, adenosine, but not inosine, rapidly diminished Akt phosphorylation. Both pharmacological Bax inhibition and Akt activation blocked adenosine-induced beta-cell apoptosis, indicating that adenosine/2'-deoxyadenosine inhibits the PI3K/Akt/BAD anti-apoptotic pathway. High glucose + palmitate-induced cell death was paralleled by increased intracellular adenosine and inosine levels. Overexpression of adenosine deaminase-1 (ADA1) in EndoC-betaH1 cells, which increased Akt phosphorylation, prevented both adenosine-induced apoptosis and high glucose + palmitate-induced necrosis. ADA2 overexpression not only failed to protect against adenosine and high glucose + palmitate-activated cell death, but instead potentiated the apoptosis-stimulating effect of adenosine. In line with this, ADA1 overexpression increased inosine production from adenosine-exposed cells, whereas ADA2 did not. Knockdown of ADA1 resulted in increased cell death rates in response to both adenosine and high glucose + palmitate. Inhibition of miR-30e-3p binding to the ADA1 mRNA 3'-UTR promoted the opposite effects on cell death rates and reduced intracellular adenosine contents. It is concluded that intracellular adenosine/2'-deoxyadenosine regulates negatively the PI3K pathway and is therefore an important mediator of beta-cell apoptosis. Adenosine levels are controlled, at least in part, by ADA1, and strategies to upregulate ADA1 activity, during conditions of metabolic stress, could be useful in attempts to preserve beta-cell mass in diabetes.

Intravenous Infusion of High Dose Selenite in End-Stage Cancer Patients: Analysis of Systemic Exposure to Selenite and Seleno-Metabolites

Cancer is one of the main causes of human death globally and novel chemotherapeutics are desperately required. As a simple selenium oxide, selenite is a very promising chemotherapeutic because of pronounced its dose-dependent tumor-specific cytotoxicity. We previously published a first-in-man systematic phase I clinical trial in patients with cancer (from IV to end-stage) (the SECAR trial) showing that selenite is safe and tolerable with an unexpectable high maximum tolerated dose (MTD) and short half-life. In the present study, we analyzed the selenium species in plasma samples, from the patients participating in the SECAR trial and from various time points and dose cohorts using LC-ICP-MS. In conclusion, selenite, selenosugars, and 1-2 unidentified peaks that did not correspond to any standard, herein denoted ui-selenium, were detected in the plasma. However, trimethylated selenium (trimethylselenonoium) was not detected. The unidentified ui-selenium was eluting close to the selenium-containing amino acids (selenomethionine and selenocysteine) but was not part of a protein fraction. Our data demonstrate that the major metabolite detected was selenosugar. Furthermore, the identification of selenite even long after the administration is remarkable and unexpected. The kinetic analysis did not support that dosing per the body surface area would reduce interindividual variability of the systemic exposure in terms of trough concentrations.

Community and aftershock: New venture founding in the wake of deadly natural disasters

The entrepreneurship literature has advanced our understanding of how natural disasters affect new venture founding in their wake. However, despite providing valuable insights, most existing studies focus on theoretical mechanisms that, explicitly or implicitly, invoke material losses or do not hone in on the theoretical effect of human losses caused by these events. This is an important omission because the social psychology literature suggests that individual reactions to human death are not only stronger than (i.e., higher in scale), but qualitatively different (i.e., infinitely stronger) from, those involving other types of losses. The present study addresses this oversight by drawing from the social psychology literature on the emotive and cognitive heuristics (e.g., the incidental emotion and availability biases) induced by human death and developing and testing a theory of how the death toll caused by natural disasters decreases new venture founding by inducing irresolvable uncertainty. Moreover, the study draws from research on how strong pre-disaster local participation in voluntary associations—by increasing the social, symbolic, cultural and material resources in a community—protects against such negative effects. Contributions to both the post-disaster venturing and the broader resiliency literatures are discussed.Executive summaryNatural disasters are on the rise, and the United Nations predicts that these phenomena will pose the single most important threat to social, political and economic stability in the upcoming decades. Entrepreneurship holds great promise for helping regions recover from the havoc wreaked by these events. However, much of the existing entrepreneurship research has not focused sufficiently on how the human death toll caused by natural disasters affects subsequent new venture creation. This is an important question because the existing psychology literature suggests that human death elicits disproportionately high negative individual reactions, which may lead prospective entrepreneurs in afflicted regions to stop or delay their plans to start new ventures, precisely at the time when those ventures are needed the most to help with regional recovery. This study fills this gap by examining how the death toll caused by natural disasters affect new venture creation in counties in the United States between 1991 and 2018. The study finds that the death toll caused by natural disasters in a county has a negative effect on post-disaster venturing in that county, but that strong pre-disaster participation in voluntary associations (e.g., the Girl Scouts, parent teacher associations, etc.) protects against this effect because it allows communities to work together to overcome the challenges posed by these deadly events. This last result highlights the importance that policymakers at every government level and local communities realize the critical role that local participation in voluntary associations prior to deadly disasters can have in fostering entrepreneurship after such events, thereby accelerating regional recovery.

A fuzzy fine-tuned model for COVID-19 diagnosis

The COVID-19 disease pandemic spread rapidly worldwide and caused extensive human death and financial losses. Therefore, finding accurate, accessible, and inexpensive methods for diagnosing the disease has challenged researchers. To automate the process of diagnosing COVID-19 disease through images, several strategies based on deep learning, such as transfer learning and ensemble learning, have been presented. However, these techniques cannot deal with noises and their propagation in different layers. In addition, many of the datasets already being used are imbalanced, and most techniques have used binary classification, COVID-19, from normal cases. To address these issues, we use the blind/referenceless image spatial quality evaluator to filter out inappropriate data in the dataset. In order to increase the volume and diversity of the data, we merge two datasets. This combination of two datasets allows multi-class classification between the three states of normal, COVID-19, and types of pneumonia, including bacterial and viral types. A weighted multi-class cross-entropy is used to reduce the effect of data imbalance. In addition, a fuzzy fine-tuned Xception model is applied to reduce the noise propagation in different layers. Quantitative analysis shows that our proposed model achieves 96.60% accuracy on the merged test set, which is more accurate than previously mentioned state-of-the-art methods.

ШЛЯХИ ПОДОЛАННЯ СМЕРТІ В РЕЛІГІЯХ СВІТУ

To explain the essence of religion, we have to answer the questions: why do we need a religion and what part does a religion play in human life? Religion researchers compiled an excellent list of religious functions. The author of this research focused on only one function of religion. This is to answer the eternal human question about life and death. The man wants to live and to overcome. He invests many resources in this goal's achievement. Every religion tries to explain the essence of death and tries to answer the question of its negotiation. The followers of most religions in the world are sure that God created man for eternal and immortal life. But in the past, a bad case happened. Its consequence was human death. In Christianity, this case is called an original sin. Ever since people first sinned, they have begun to die. The original sin changed the material part of man because it brought death to him. But it could not change the human essence. Because God wanted to create an immortal man, a man always wants to have eternal life and has a negative attitude towards death. The mission of religion is not only to give a theoretical explanation, but primarily to create a practical means of salvation. That is why religions not only explain how death entered human reality, but also offer ways for humans to be saved. All religions in the world explain the causes of death in the same way. On the other hand, they explain the methods of salvation in different ways. The author of this research defines four classical answers to the question of human salvation. The first answer concerns the group of religions that includes Christianity, Judaism, Islam, and Zoroastrianism. The followers of this religion see salvation in the resurrection of the dead. God loves people so much that he disagrees with a man's death. God tolerates man's choice to do what he did in the moment of original sin. Therefore, man will necessarily die. However, God gives him one more possibility. It is man's resurrection for eternal life. The second answer concerns the group of Indian religions (Hinduism, Buddhism, and Jainism). The followers of this religion are sure that death is inevitable. If the man was born, he would have to die. To not die, a man must not be born. Because the followers of the Indian religions believe in reincarnation, they call upon their followers to live so as to achieve nirvana, i.e., leave the regeneration circle. Then man will not be born; therefore, he will not die. The third answer concerns Plato's philosophical doctrine and Gnostics. They are sure that the material body is the cause of all man's misfortune and death. Though death is bad, it is good to die, because a dying man gets rid of death for ever. The fourth answer concerns the followers of many ancient religions. Their ideas about death were hazy and buried. They were sure that death was not the end of human life, but their representation of the afterlife was pessimistic.

Recent advances in access to overcome cancer drug resistance by nanocarrier drug delivery system.

Cancer is currently one of the most intractable diseases causing human death. Although the prognosis of tumor patients has been improved to a certain extent through various modern treatment methods, multidrug resistance (MDR) of tumor cells is still a major problem leading to clinical treatment failure. Chemotherapy resistance refers to the resistance of tumor cells and/or tissues to a drug, usually inherent or developed during treatment. Therefore, an urgent need to research the ideal drug delivery system to overcome the shortcoming of traditional chemotherapy. The rapid development of nanotechnology has brought us new enlightenments to solve this problem. The novel nanocarrier provides a considerably effective treatment to overcome the limitations of chemotherapy or other drugs resulting from systemic side effects such as resistance, high toxicity, lack of targeting, and off-target. Herein, we introduce several tumor MDR mechanisms and discuss novel nanoparticle technology applied to surmount cancer drug resistance. Nanomaterials contain liposomes, polymer conjugates, micelles, dendrimers, carbon-based, metal nanoparticles, and nucleotides which can be used to deliver chemotherapeutic drugs, photosensitizers, and small interfering RNA (siRNA). This review aims to elucidate the advantages of nanomedicine in overcoming cancer drug resistance and discuss the latest developments.

No failure no accident in man-made disasters in construction

Construction is an industry that carries the risk of causing human death, and the destruction of assets and the environment. Several cases such as girder collapse, crane overturning, formwork collapse, and material landslides have occurred recently in large-scale infrastructure projects in Indonesia. Currently, construction accident theory describes active and latent failures in management, and human as well as technical issues. The purpose of this paper is to propose the theory of no failure no accident in any man-made disaster. A further review of literature studies is used to outline current research findings on management, technical, and human failures leading to catastrophic events. Evidence-based reasoning from 5 cases of catastrophic events in construction is described to reveal failure modes that lead to incidents and accidents. In this paper, firstly the failure modes and their effects are described based on the literature review, and secondly, empirical evidence of failure modes is presented using selected disaster cases recorded by the Construction Safety Committee, Ministry of Public Works, and Public Housing. Finally, this paper concludes that failure modes represent the quality of systems, services, procedures, goods, and personnel that is defective to contribute to a catastrophic event that causes damage to people, the public, property, and the environment.

Smart Agriculture Land Crop Protection Intrusion Detection Using Artificial Intelligence

Human-wildlife conflict is the term used to describe when human activity results in a negative outcome for people, their resources, wild animals, or their habitat. Human population growth encroaches on wildlife habitat, resulting in a decrease in resources. In particular habitats, there are numerous forms of human and domesticated animal death or injury as a result of conflict. Farmers and the animals that invade farmland suffer greatly as a result. Our project’s primary objective is to lessen human-animal conflict and loss. The embedded system and image processing technique are utilized in the project. Python is used to perform image processing techniques like segmentation, statistical and feature extraction using expectation maximization, and classification using CNN. The classification is used to determine whether the land is empty or if animals are present. A buzzer sound is produced, a light electric current is passed to the fence, and a message alerting the farmer to the animal’s entry into the farmland is transmitted. This prevents the animal from entering the field and enables the landowner to take the necessary steps to get the animal back to the forest. The result is serially sent to the controller broad from the control board.

Тема «жизни и смерти человека» в рассказах о детстве И. С. Шмелева 1909–1911 годов

This paper deals with the artistic solution of the theme of “the life and death of a man” in the stories about the childhood of the Russian writer, Ivan Sergeevich Shmelev. The analysis covers the works created in 1909–1911 that have not been investigated so far, indicating the novelty of the study. Archival materials and little-known texts of Shmelev are introduced into scientific circulation. The stories “Shelf,” “On the Seashore,” “Gingerbread (the doctor’s story),” and “Stars” ontologically address the issues of the purpose and meaning of human life and death. The theme of human existence is disclosed in the works concerned, accompanied by the natural background entering into an inseparable relationship with the characters. The spiritual antithesis principle – the semantic dominant of the stories – highlights the outcome of earthly and postmortem human existence. The antinomy of ideal and reality is interpreted as heroes’ aspiration for the “world of God.” Human powers and opportunities addressed to the harmonization of reality, overcoming the tragedy of earthly life, relief of suffering, confrontation of disease and death are comprehended by the sacred gifts of God. The image of books and reading, allowing one to acquire the basic constant definitions of being, takes a special place in the texts considered. Artistic creativity becomes a part of the general ontological problematics, close to the phenomena determining the integrity and uniqueness of each human destiny – life and death. The originality of the verbal and linguistic structure of the stories reveals the brightness and originality of Shmelev’s talent.

Human birth, death, and soil in religion, mythology, and literature: The need for soil ethics

Human birth, death, and soil in religion, mythology, and literature: The need for soil ethics

Transforming cancer cells for long-term living with cancer: An inspiring new approach.

Cancer is the leading cause of human death and imposes a huge health burden. Currently, no matter what advanced therapeutic modalities or technologies are applied, it is still peculiarly rare for most cancers to be radically cured whereas therapy resistance and tumor recurrence are ever so common. The long-standing cytotoxic therapy is hard to achieve long-term tumor control, and produces side-effects or even promotes cancer progression. With growing understandings of tumor biology, we came to realize that it is possible to transform but not kill cancer cells to achieve long-term living with cancer, and directly altering cancer cells is a promising way. Remarkably, tissue microenvironment is involved in the fate determination of cancer cells. Of note, leveraging cell competition to combat malignant or therapy-resistant cells shows some therapeutic potentials. Furthermore, modulating tumor microenvironment to restore a normal state might help to transform cancer cells. Especially, reprogramming cancer-associated fibroblasts, and tumor-associated macrophages, or normalization of tumor vessel, tumor immune microenvironment, and tumor extracellular matrix or their combinations, et al., revealed some long-term therapeutic benefits. Despite the massive challenges ahead, it would be possible to transform cancer cells for long-term cancer control and living with cancer longevously. The related basic researches and corresponding therapeutic strategies are also ongoing.

Proposing a hybrid technique of feature fusion and convolutional neural network for melanoma skin cancer detection

Skin cancer is among the most common cancer types worldwide. Automatic identification of skin cancer is complicated because of the poor contrast and apparent resemblance between skin and lesions. The rate of human death can be significantly reduced if melanoma skin cancer could be detected quickly using dermoscopy images. This research uses an anisotropic diffusion filtering method on dermoscopy images to remove multiplicative speckle noise. To do this, the fast-bounding box (FBB) method is applied here to segment the skin cancer region. We also employ 2 feature extractors to represent images. The first one is the Hybrid Feature Extractor (HFE), and second one is the convolutional neural network VGG19-based CNN. The HFE combines 3 feature extraction approaches namely, Histogram-Oriented Gradient (HOG), Local Binary Pattern (LBP), and Speed Up Robust Feature (SURF) into a single fused feature vector. The CNN method is also used to extract additional features from test and training datasets. This 2-feature vector is then fused to design the classification model. The proposed method is then employed on 2 datasets namely, ISIC 2017 and the academic torrents dataset. Our proposed method achieves 99.85%, 91.65%, and 95.70% in terms of accuracy, sensitivity, and specificity, respectively, making it more successful than previously proposed machine learning algorithms.

Enhanced approach for brain tumor detection

Automated defect detection in medical imaging has become an emerging field in several medical diagnostic applications. Automated detection of tumors in MRI is crucial as it provides information about abnormal tissues that are necessary for treatment. The conventional method for defect detection in magnetic resonance brain images is human inspection. This method is impractical due to the large amount of data. Hence, trusted and automatic classification schemes are essential to preventing the human death rate. So, automated tumor detection methods are being developed to save radiologist time and obtain tested accuracy. MRI brain tumor detection is a complicated task due to the complexity and variability of tumors. In this work, machine learning algorithms are proposed to overcome the drawbacks of traditional classifiers when tumors are detected in brain MRIs using machine learning algorithms. The outcome of the model is to predict whether a tumor is present or not in the image.

Knowledge of Students of Selected Fields at the Medical University of Lodz on Basic Resuscitation Procedures

Abstract Background Sudden cardiac arrest (SCA) is a sudden medical condition in which the mechanical function of the heart is impaired and consequently ceases. It is the most common cause of human death in Europe. In order to increase survival rates, it is essential to spread knowledge among the public about life-saving techniques. Medical students, as a specific health-related group, should be familiar with current life-threatening emergency management regimens. Objective The aim of the study was to assess the knowledge of students of selected faculties at the Medical University of Lodz on basic resuscitation procedures (BLS – Basic Life Support). Material and methods Online survey questionnaire consisting of 25 questions developed by the study authors. The study involved 327 students of selected faculties: medicine, nursing, paramedicine, public health at the Medical University of Lodz. Inclusion criteria for the study: age &gt;= 18 years, status as a student of the aforementioned faculties at the Medical University of Lodz, informed consent to participate in the study. Results 80.7% (264) of the students were familiar with the management algorithm: 85.6% (89) of medical students, 79.8% (67) of nursing students, 81.0% (60) of paramedic students, and 71.6% (48) of public health students; 81.5% (145) of those familiar with the algorithm were female, and 79.9% (119) were male students. 92.3% of medical students, 82.1% of nursing students, 90.3% of paramedic students and 64.1% of public health students had knowledge of AEDs. Among the respondents, the most common sources of knowledge about BLS were the medical school classes (68.5% (224)) and the Internet (24.16% (79)). Conclusions The knowledge of the students of selected courses of the Medical University of Lodz was satisfactory. The majority of students knew the procedure algorithm and emergency numbers. The main source of BLS knowledge for students were classes at the medical university and the Internet. The process of educating medical students and the entire society about BLS should be continuously pursued.

FBI Against Terrorism: Investigation and PR

Based on the study of a number of examples of politically motivated terrorist attacks and sabotage on the infrastructure of the United States in 1914—1920, the authors examine their background and impact on the development of the (Federal — since 1935) Bureau of Investigation. The authors of this article adhere to the traditional definitions of a terrorist act and sabotage accepted in domestic historical science and law. A terrorist act (terrorist act) is the commission of an explosion, arson or other actions that frighten the population and create the threat of human death, significant property damage or other serious consequences, with the aim of destabilizing the activities of authorities or international organizations or influence their decision-making, as well as the threat of committing the above actions for the same purposes . Diversion is a method of armed struggle, actions of specially prepared units (groups) or individuals in the rear of the enemy to disable military, industrial and other objects, destruction of roads and means of communication, nodes and lines of communication, objects of vital importance of population, disruption of command of troops, destruction of manpower and equipment, influence on the moral and psychological state of troops and the enemy population . The authors conclude that the administrative structure and methods of work of the Bureau of Investigation of the United States have changed due to new threats to law and order in the United States. The article is written in the problem-chronological method: politically motivated terrorist acts are examined first, followed by random (arbitrary) terrorist self-detonations, and this empirical series ends with an account of the 1916 Manhattan War Materials Depot sabotage. We consider the anarchist attacks of 1919, as well as the famous Sacco and Vanzetti case, as two of the earliest and most striking examples of political terror in the United States, to which the young Bureau of Investigation had to respond.

Technology of genomic balancing of chromatin of autologous hematopoietic stem cells for gene therapy of fatal immune-mediated diseases of civilization, extended life expectancy and sudden human death prevention.

A biotechnology for personalized ex vivo gene therapy based on molecular genomic balancing of hematopoietic stem cell (HSC) chromatin with nucleosome monomers of human genomic DNA (hDNAnmr) has been developed and implemented in the clinic to change (to "correct") mutant chromosome loci genomes of dominant HSC clones that form mono- and oligoclonal hematopoiesis during aging and major (oncological, cardiovascular, neurodegenerative and autoimmune) fatal immune-mediated diseases of civilization. A fundamentally new biotechnological approach has been applied to the delivery of genetic material into eukaryotic stem and progenitor cells by establishing an artificial "recombinogenic situation" in them to induce homologous recombination (equivalent replacement) of mutant DNA regions with healthy hDNAnmr. In experimental preclinical trials, the effectiveness of genomic balancing technology has been proven to reduce the risk of sudden death in old animals and to increase the lifespan of outbred mice by 30% and Wistar rats by 57%. The improvement in their quality of life, compared with the control, is explained by an increase in the telomeric regions of the HSCs and HPCs chromosomes by 1.5-2 times. The potential of the technology to slow down the hereditary neurodegenerative diseases on the model of amyotrophic lateral sclerosis is shown. The effectiveness of this technology in clinical practice is presented on the example of a terminal patient with stage 4 neuroendocrine cancer. This technology used in the treatment of a number of oncological, neurodegenerative, autoimmune and hereditary diseases with clonal hematopoiesis is able to arrest the progression of the disease, prevent its recurrence, prolong the active life of a person, increase the average life expectancy and prevent sudden death.

Induction of DNA Damage and Apoptosis Mediate Cytotoxic by Oxaliplatin In Human Breast Cancer MCF-7 Cell Lines in Vitro

Cancer is an extremely disease leading cause of human death worldwide, and breast cancer is the most common type of malignancy in women. It is a heterogenous and hormone-dependent disease. Oxaliplatin is a novel platinum derivative and is a potent chemotherapeutic agent. Therefore, oxaliplatin is an apoptotic effectual compound for treating cancer with cytotoxic side effects. To explore the underlying mechanism of action of oxaliplatin, we examined the induction of apoptosis on human breast cancer MCF-7 cell lines by the drug and introduced its possible mechanism of action. The oxidative-induced DNA damage was evaluated by 8-hydroxy-2-deoxyguanosine (8-OHdG) reduction. The cellular pathways involved in the apoptosis of P53 and BCL2 were also assessed by qPCR and Western blotting assays. The results showed that oxaliplatin exposure causes increased oxidative stress levels and activation of P53, and repression of BCL2 was also involved in these mechanistic pathways.Graphical abstract on the apoptotic mechanism of oxaliplatin via P53 activation and repression of BCL2 in MCF-7 cells.

Forest Fire Disaster Risk Analysis using Sentinel 2 and Landsat Images Case Study: Al-Qoubaiyat and Tyre regions, Lebanon

Fires are considered a threat to the world with all its components and sectors. Recently, it is noticeable an increase in these fires that hit many countries, especially in Lebanon which is considered a country, rich in forests. A forest fire can be naturally caused by either global warming or high temperature. On the other hand, it may be caused by man-made via factories and glass waste. Fires cause great damage to the environment and may lead to human death. Unfortunately, the fire that broke out in AL-Qoubaiyat and Tyre in Lebanon, have been witnessed and caused great damage to the environment, human losses, etc. In this study, a study of fire risk management for those two study areas, will be analyzed using two types of data (Landsat-8 and Sentinel-2) for AL-Qoubaiyat case study, whereas it will be between (Landsat-7 and Sentinel-2) for the Tyre case study. The Analysis will be done by using the Normalized Burn Ration (NBR), Differenced Normalized Burn Ration (NBR) along with all type of required atmospheric corrections. According to our study, it was found advisable to monitor fire risk management using Sentinel-2 L2A data since the atmospheric correction is already performed on it but for L1C data the Sen2Cor python must be used to apply atmospheric correction. Furthermore, the Sentinel-2 L2A data analysis gave more precise results than Landsat-8 by about 2% in Sour case study and 5.7 % in AL-Qoubaiyat case study. Hoping that this method will help in tracking fires, disaster risk reduction, and help in classifying burn severity accompanied with calculating the area corresponding to each class.