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Originating from China in 2019, the novel Coronavirus Disease 2019 (COVID-19) pandemic had badly affected most of the world causing immense morbidity and mortality. The disease in moderate to severe cases was characterized by intense inflammation leading to ARDS and hypercoagulable states leading to thrombo-embolism and mortality.Aim: This study aimed to explore the association of inflammatory biomarkers with COVID-19 disease severity in our hospital which became a dedicated COVID hospital during the pandemic.

Background: Since 2019, remote patient monitoring (RPM) for patients with chronic heart failure (CHF) has been supported by the European Society of Cardiology. However, real-world data on the use of such solutions has been limited and not primarily based on patient-reported outcomes. The aim of this study was to describe the Satelia® Cardio solution in France within the French ETAPES funding program and assess the security and performance of its clinical algorithm.Methods: A retrospective observational study was conducted on CHF patients monitored by RPM through Satelia® Cardio. From September 1, 2018, to June 30, 2020, patients were included if they had completed over six months of follow-up. The risk of a possible CHF decompensation was categorized by the system in three levels: green, orange and red. The algorithm security and performance were assessed through the negative predictive value (NPV) of the prediction of hospitalization of a patient within seven days.Results: In total, 331 patients were included in this study with 36,682 patient self-administered questionnaires answered. Patients were mostly males (70.4%) and had a mean age of 68.1 years. The mean left ventricular ejection fraction (LVEF) was 35.4% (± 12.3) and 73.3% of patients had a LVEF ≤ 40%. The questionnaire response rate was 90.9%. A green status was generated for 95.3% of answers. There were 4.5% (n = 1,499) orange alerts and 0.2% (n = 74) red alerts. Overall, 92.1% of patients had at least one CHF related hospitalization and 31.7% (n = 105) of these cases were non-scheduled. The NPV at seven days was 99.43%.Conclusion: Satelia® Cardio is a feasible, relevant and reliable solution to safely monitor the cohorts of patients with CHF, reassuring cardiologists about patient stability.

Introduction: Patients with aortic stenosis often develop hypertrophy and fibrosis, regardless of symptoms. Cardiac Magnetic Resonance (CMR) represents the gold standard for the evaluation of fibrosis despite numerous limitations: cost, availability, atrial fibrillation, claustrophobia, kidney failure or inability to apnea.Purpose: The aim is to validate the role of echocardiographic parameters, such as Global Longitudinal Strain (GLS), as early markers of fibrosis. Clinical and laboratory data, particularly B-type Natriuretic Peptide (BNP), were also analyzed.Material and methods: In our study we recruited 33 patients with severe aortic stenosis, correlating echocardiographic values of GLS with the qualitative analysis of Late Gadolinium Enhancement (LGE) and the quantitative analysis of T1 mapping of CMR.Results: 70% of patients with an alteration of GLS had LGE+. Univariate logistic regression shows that the factors associated with the presence of LGE on CMR are hypertension (p = 0.043), GLS (p = 0.032), and elevated BNP values (p = 0.021); for GLS, Odds Ratio (OR) is 5 so the chance of finding fibrosis on CMR increases 5 times in presence of an altered GLS. The multivariate analysis confirms the association with impaired GLS values (p = 0.033) and hypertension (p = 0.025), but not with elevated Pro-BNP values.Conclusion: In patients with severe aortic stenosis, the association between GLS, LGE, and T1 mapping can help identify earlier those patients with structural changes caused by the disease, who could benefit from early intervention. It remains to be established how the presence of these alterations has a role in determining the intervention time and the outcome of these patients.

Based on paraffin-wax include, volcano-based antimony-bearing, phospholipid, antimony found in gold deposit and TIPSb/triisopropylantimony ever predicted as the room temperature organic superconductor compound. Many flourishing explanations have been declared, from variational method to inductive deduction, with all indicating the presence of C9H21O3Sb.PBr6.We consider that aplications in mesoscale regime, at least when using multiscale fractal of critical parameter that affects physical & chemical properties and to adopt “mesoscopic scale” ever stated as “superconductors” by Holmvall (2017). Then the mathematical induction of variational method of exploitation on integers & natural numbers herewith paraffin-wax etc can be resembled the ever built antimony containing compounds to keep the realm of predictions.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

SARS-CoV-2 is a new pandemic infection that affects at the beginning the upper respiratory system, and, successively, all the organisms, due to cytokine storm, with serious consequences that can reach death. The aim of this work was the observation of the nasal mucosa of enrolled 60 patients, resulting negative for two weeks to the molecular swab for SARS-CoV-2, versus the control group. Rhino-fibroscopy and nasal cytology of nasal mucosa were performed for both the investigated groups. The observation of the samples showed the occurrence of plasmablastic lymphocytes and Downey II lymphocytes type. The former type of lymphocytes was prevalent against the second one, probably because of an immunological “scar”. The rhino-fibroscopy showed a “pseudo ischemia of nasal submucosa” at pre and pericranial levels, not occurred in the control group.The occurrence of atypical lymphocytes in the nasal smear was analog to that observed in the blood peripheral smear, probably caused by mechanisms of local immune reaction and dysregulation like those observed in other virus infections. Our findings suggest that the nasal mucosa study through the nasal cytology, can represent an important predictive tool of the SARS-CoV-2 infection.

With each passing year a new record for global emissions is set (1) and policymakers and utility companies must embrace all avenues for decarbonization of energy. Universal adoption of electrification for every building and home by 2050 (2) is not practical, a balance must be struck between an equitable transition to cleaner energy supplies and ensuring uninterrupted, safe delivery of energy to utility customers. Renewable Natual Gas (RNG) is a molecule-for-molecule replacement of traditional geological natural gas with tangible life cycle emissions reductions. California continues to lead the way, initially starting with the low carbon fuel standard (LCFS) which aimed to reduce the carbon intensity of transportation fuel, and subsequently, Senate Bill 1440, which established RNG procurement goals including 12% RNG by 2030 (3). Other States are starting to adopt similar changes such as Oregon’s Senate Bill 98 and Colorado’s Senate Bill 21-264. As utilities attempt to transition the energy network, they must never compromise system safety and reliability. Recognizing that raw biogas has dangerous levels of contaminants of concern (COC) and must be conditioned to pipeline quality, its important utility companies better understand the methods with which methane is extracted and the testing protocols used to confirm performance. This paper highlights the equipment, processes, and testing regime National Grid and its partner the New York City Department of Environmental Protection (NYC DEP) deployed as part of its Newtown Creek RNG project, which successfully began injecting RNG into the NYC gas distribution network in October 2022.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) appeared in December 2019 in China and has rapidly become a major global health concern. Patients with end-stage renal disease receiving dialysis treatment are very exposed to the SARS-CoV-2 during their frequent visits to healthcare facilities and immune induced by uremia. The aim of our work was to describe the particularity of COVID-19 infection in hemodialysis patients in sub-Saharan Africa and in Ziguinchor, south of Senegal, particularly. To do this, we conducted a monocentric prospective study over a period of 16 months at the Ziguinchor hemodialysis center and compared our results to a study that focuses on the seroprevalence of SARS-CoV-2 in chronic hemodialysis patients. We found a low prevalence of COVID-19 infection while the majority of our patients were in contact with the virus.

The field of Otolaryngology-Head and Neck Surgery (ENT) has seen tremendous progress in the development of advanced treatments for various ENT disorders in recent years. This progress has been driven by advances in technology and research, which have led to the development of new and improved surgical techniques, medications, and devices. As a result, patients with ENT disorders now have more treatment options than ever before, and the quality of care that they receive has improved significantly.

This paper is a study of the nuclear Equation of State (EOS) of cold nuclear matter with the B3Y-Fetal effective interaction in its CDM3Y density-dependent version within the framework of Hartree-Fock approximation. The well-known saturation properties of both symmetric and asymmetric nuclear matter are well-reproduced in this work. Using the CDM3Y-K approach, this study has evolved a new set of user interactions, some of which are CDB3Y1-, CDB3Y2-, CDB3Y3-, CDB3Y4-, CDB3Y5-, CDB3Y6-Fetal interactions with corresponding incompressibilities K0 = 188, 204, 217,228, 241 and 252 MeV respectively, in excellent agreement with those of the M3Y-Paris and M3Y-Reid effective interactions. For asymmetric nuclear matter, the new set of interactions has produced the symmetry energy Esym = 32.00 MeV with an associated slope parameter L = 55 MeV at a saturation density ρ = 0.17fm−3 and asymmetry parameter δ = 1.00 (pure neutron matter) in good agreement with the standard values obtained from coupled channel analysis of charge exchange reactions, statistical multifragmentation model and terrestrial Nuclear Physics experimental analyses. Furthermore, the new set of interactions has been found to have bright prospects in a nuclear reaction as the real folded potential computed with the CDB3Y6-Fetal interaction within the framework of double folding potential has been found to be good and similar to that of CDB3Y6-Paris whose optical potential has a repulsive direct component.

Introduction: Child Protection Services (CPSs) are dedicated to providing protection and responding to any threats a child could face as children worldwide could be abused. Recently, the COVID-19 pandemic affected all aspects of life. Procedures implemented to restrict the spread of the disease (such as reduced access to services, school closure, and social distancing measures) had an impact on child life and maltreatment. Therefore, it is important to know the impact of this pandemic on child abuse and protection. Aim and rationales: This study aimed to assess the impact of COVID-19 on CPSs in Oman by studying the change in the number of reported cases of child abuse and the change in the reporting procedure at the Ministry of Social Development (MOSD). In addition, know the impact of the restriction measures on child rights and risk factors of child maltreatment based on CPSs workers’ opinions and experience. To understand the adaptation of the CPSs to the change in work and life environment imposed by COVID-19. Method: A cross-section study was conducted using a semi-structured questionnaire, that was distributed to the workers involved in the CPSs at the MOSD in Oman. Data also were collected from the statistical bulletins on the Ministry’s website. Results: COVID-19 pandemic was not found associated with a significant change in the number and type of child abuse cases reported to the MOSD. The reporting procedures also did not change. In addition, the pattern of child abuse types did not change before and during the pandemic, as neglect cases were the most. The participants judged the restriction measures affecting family life through separation, cyber abuse, and reduced educational support. With regard to intervention and follow-up procedures, the main difference was in the communication processes by using online communication methods and reducing the fieldwork for mild cases.Conclusion: CPSs in Oman were not much affected by the COVID-19 pandemic, which may reflect the success of this system in dealing with the restriction measures. However, more solutions should be developed to adapt to these circumstances in the future altogether.

Food production program faces tight competition on land, water, energy, and efforts against the negative effects of food production on the environment [1,2]. 

This article investigates the viability of SARS-CoV-2 and its dependence on pH levels, specifically focusing on the difference between the pH stability intervals for the coronavirus and human blood. Human blood typically maintains a pH range of around 7.35 to 7.45, while SARS-CoV-2 exhibits stability within the pH range of 6.0 to 6.5. The study aims to elucidate the critical role of hemoglobin in maintaining pH balance and explores its implications for viral susceptibility. The findings emphasize the importance of reinforcing the alkalinity of the medium as a means to weaken the virus. The research contributes to the understanding of pH-dependent mechanisms in viral infections and provides valuable insights for the development of potential therapeutic strategies.

This is a literature review study focusing on the expression of p53 and WT1. Both the p53 and WT1 proteins are tumor suppressors, which means that they play a role in preventing the progression into cancerous ones. If these proteins are altered or deleted, they lose the ability to carry out their role, which might result in the development of cancer. The primary objectives of this study were to review the literature regarding the expression of both p53 and WT1 and to investigate their prognostic significance; and to discuss our new hypothesis regarding the ratios of expression of WT1/p53, as well as our model regarding acute myeloid leukemia. In brief, the objectives were to make the focus in the suggested hypothesis as well as collecting the supportive literature. According to the findings of the current research, the level of expression of WT1 and p53 can indicate either a favorable or unfavorable prognosis for cancer patients. Further, we demonstrated that the expression, not just as a quality variable but also as a quantity variable, may have a more substantial explanation in the progression of tumors than we had previously thought. According to the theory that was derived from this research, if the expression of WT1/p53 (the expression is given as a ratio) is somewhere around 4, then p53 acts as though it were wild type and offers protection against tumors. In order to verify this idea, we need to do additional study.

In the search for a solution to the Riemann Hypothesis, we have studied an approach that connects the Riemann Problem with physical modeling that refers to statistical mechanics.Thus, we study the relation between a truncation of the Riemann ξ function in the variable z = 1-1/s, where s is the usual complex variable (s=Re(s)+i·Im(s) = ρ + i·t) and the partition function of a ferromagnetic spin 1/2 model on a circle C with long-range interaction, to give a concrete look at a strategy for a possible proof of the Riemann Hypothesis. 

Aim: The aim of this study was to evaluate the oral hygiene status of patients with fixed mechanotherapy appliances.Methods and materials: The following indices were used to evaluate the oral hygiene status of patients in orthodontic treatment: Gingival Bleeding Index (GBI), Plaque index (PI) and OrthoPlaque Index (OPI) at three intervals.T0 (day 1), T1 (15 days), T2 (30 days) for a period of one month.Results: 10 patients (15-30 years old) were selected for the study from among the orthodontic patients treated at the Department of Orthodontics & Dentofacial Orthopedics, AIDSR, Adesh University. Results showed that the mean PI decreased significantly from T0 to T1 & then from T1 to T2, GI decreased significantly from T0 to T1, but then, no significant difference could be found in GI from T1 to T2, OPI decreased significantly from T0 to T1, but then, no significant difference could be found in OPI from T1 to T2. No significant difference was observed between male and female patients for the PI, GI and OPI.Conclusion: Inadequate oral home care among orthodontic patients may increase their risk of gingivitis during treatment. As a result, oral hygiene instructions and a hygiene maintenance program must not be overlooked during orthodontic treatment.

This paper is grounded in a series of medical texts that survive from ancient Mesopotamia. It seeks to show the relevance of these texts for the modern researcher. Key findings are that the ancient Mesopotamian physician had already discovered many of the herbal treatments currently being verified by modern science. Armed with what these ancient texts tell us, we are in a position to offer advice on ways to ensure the most effective use of and avoid the dangers presented by selected medicinal plants.

Sclerotinia sclerotiorum is a necrotrophic plant pathogen causing more than 60 different disease symptoms in approximately 400 plants globally. Hence, due to this distinctive characteristic, S. sclerotiorum has been the subject of various research to comprehend its pathogenicity mechanism, including virulent genes, proteins, and metabolites. Likewise, the genomic annotation of S. sclerotiorum uncovered its remarkable potential for producing secondary metabolites, of which genome mining has additionally prompted the disclosure of these uncharacterized metabolic pathways, which might aid the pathogenicity process. To comprehend the secondary metabolites secreted by S. sclerotiorum that might be involved in its pathogenicity, a secondary metabolite-level investigation of this plant pathogen was performed. Profiling and characterizing these secondary metabolites produced during in vitro germination would increase the current knowledge of this pathogen. In this study, S. sclerotiorum secondary metabolites profile examination was conducted, utilizing the Ultra-High Resolution Qq-Time-Of-Flight mass spectrometer (UHR-QqTOF). Proficient data analysis and verification with the genomic pathways of S. sclerotiorum gave an unequivocal metabolome profile of this pathogen. Two hundred and thirty secondary metabolites were identified in all three biological replicates, and their bodily functions were identified.

Background: The socioeconomic impact of drug and substance abuse on secondary school students in Nigeria is yet to be fully evaluated even in the face of the current surge in abuse of substances among the younger folks who constitute more than half of the entire population.Objective: This study narratively reviewed the studies on the socioeconomic impacts of drug and substance abuse on secondary school students and studies by researchers in Nigeria. Methods: The study was a narrative review of the literature covering the socioeconomic impacts of drug and substance abuse on secondary school students in Nigeria from 1980 to 2023. Data were extracted and summarized with descriptive statistics. Results: All the studies took place between 2012 and 2023; 6 (100%). The studies carried out were all observational studies 6 (100%). All the studies fell below average in the benchmark for the hierarchy of evidence-based studies. The studies mostly took place in the South-West 3 (50.00%), while 1 (16.67%) took place in the South-East, North-West, and North-Central respective regions of Nigeria.Conclusion: The available studies done on the impacts of drug and substance abuse focused more on the social impacts, with little or no attention to the economic effect. The available studies however remain at the observational level in the evidence-based ladder. Future Research on the reviewed theme should focus on the economic implications of the social effects of drug and substance abuse on secondary school students in Nigeria.

It was pyrite from Congo which conducts electricity but cannot store it as the existing event of catalytic nanomotors. Herewith provided discussion and description from nanodiamond contained in meteorite to alkylation reaction any catalytic nanomotors proposed to enhance the built-in DNA-wave biocomputer.We found chondrite meteorites in primitive types of space rock.