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This case study is based on a crime scene examination murder of a young person. This case was reported in the police station located in the north-northeast district of Delhi, India. An unknown dead body was found lying on the roadside with a head injury, suspected to be a road accident. A team of forensic experts was called for a crime scene examination. After examination, it was observed that the body had multiple injuries. There was a blood pattern seen behind the hand and the head of the dead body. This was a suspicion of a murder case, instead road accident. After body identification by the family members and the last location of the victim, the place of murder i.e. house has been identified and examined by the expert team and found a lot of incriminating evidence from the scene of the crime. A two-wheeler was recovered suspected to be used to dump the dead body on the roadside. After examination of the vehicle, clue material found it was found. After a complete examination of the spot and vehicle, sufficient forensic evidence was collected and preserved to establish the crime was murder, not a road accident. This case study involved the application of scientific tools, interpretation of the sequence of evidence at the scene, systematic study of case-related information, and the logical formulation of a theory to give the proper information to the investigating agency. It has been concluded that the boy was murdered in the room and dumped roadside by using the bike.

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.

The search for a sustainable development path capable of satisfying the needs of the current generation without compromising the well-being of future generations is not a new challenge. In recent years, climate change and, more generally, the transition to a sustainable development model have become increasingly important. According to the European Central Bank [1], guidelines on sustainable finance, a company aims to develop value by adhering to relevant ideals, such as fair remuneration for employees, respect for ethical and social values and preservation of the environment.

Background: Exclusive breastfeeding has great benefits for both the mother and the child. Few studies have been carried out on interventions to improve Exclusive Breastfeeding (EBF) practice by childbearing mothers. No study has formulated and/or implemented a hospital-based maternal counseling guide intervention to improve EBF practice. This baseline study assessed the knowledge, attitude, and practice of EBF on mothers who were enrolled in antenatal clinics for a cluster randomized trial and the disparity in the knowledge of EBF based on lactation, age, sex, and source of income.Methods: We formulated a hospital-based counseling guide on exclusive breastfeeding, which is under implementation by prenatal and nursing mothers, to promote EBF practice in the study area. A cross-sectional study was conducted in two hospitals randomly selected from twelve hospitals in Anambra State. The study was among pregnant women who were in their second trimester. The data collection took place from March to April 2022. The data were analyzed using descriptive statistics and Chi-Square. The test of significance was set at p < 0.05.Results: The control and the intervention arms had an equal number of enrolees (144) each and more than half of the participants were between the ages of 23 – 32 years. The majority of the participants showed adequate knowledge of exclusive breastfeeding as over 90% knew that EBF is important and capable of improving their baby's immunity. The participants demonstrated a positive attitude to exclusive breastfeeding and they had a significantly high level of practice of daily consumption of galactagogues. The study suggested that the majority did not practice breast milk extraction mainly because the process of extraction is painful and some do not know how to carry out the extraction.Conclusion: The mothers have the requisite knowledge of the benefits of exclusive breastfeeding to their infants and themselves. However, they do not practice EBF. Interventions to improve EBF practice should focus on educating mothers on proper breast milk extraction and storage techniques.

Background: Currently there are three available formulations of tacrolimus in the United States; these include immediate-release capsules (TAC-IR), extended-release capsules (TAC-XL),and extended-release tablets (TAC-XR). Previous studies have demonstrated non-inferiority between the three formulations in terms of efficacy. The purpose of this study was to compare three formulations of tacrolimus (TAC) and assess differences in time within the therapeutic range (TTR) and variability in levels. Results: Renal transplant recipients from January 2013 to October 2017 were retrospectively identified for analysis. Deviation from standard TAC protocol or formulation changes excluded patients. The primary outcome compared percent TTR (TTR %) among 3 TAC formulations over the first 90 days post-transplant. TTR was calculated using the Rosendaal method. Secondary outcomes included differences in TAC levels, TAC dose, eGFR, rejection, patient and graft survival between the TAC formulations. TAC-XR demonstrated a significantly higher TTR % compared to TAC-IR and TAC-XL (62.8% vs. 53.3% vs. 60.9%, p = 0.048). In post-hoc analysis, TAC-XR had a higher TTR % compared to TAC-IR (p = 0.065), which approached statistical significance. Average TAC levels, weight-normalized TAC doses, median dose-normalized TAC levels, rejection rates, eGFR, and graft or patient survival were similar among groups. Conclusion: In the early transplant period, TTR was significantly different among the groups. TAC-XR demonstrated numerically superior time within the therapeutic range. Patient-specific factors such as race, obesity, genetic polymorphisms may impact this variability and clinical outcomes. Further analysis is necessary to understand the effect of each patient-specific factor on TAC exposure.

The COVID-19 pandemic appeared in late 2019 and became a major health concern with rapid transmission and very high mortality rates across the globe. Although precautionary, preventive, protective and therapeutic measures have been adopted against COVID-19, still the disease has drastically affected people. In order to overcome the challenges of the pandemic, the understanding of the route of transmission, its fusion with receptors and invasion into the human body and hacking the immune system, the viral genome was sequenced. The viral genome keeps on mutating and altering its original form into its subtypes. Moreover, age and comorbid conditions had their impact on developing the disease differing from individual to individual due to interaction varying between the host genome and virus. Considering the pathogenesis of the virus, neutralizing antibodies reduced the viral impact and severity. This review is focused on highlighting the COVID-19 genome, host genetic factors, the pathogenesis of the disease and available therapeutic measures to overcome the pandemic.

Aim: Accumulating data imply that glaucoma may represent a neurodegenerative disorder affecting the entire visual system. We evaluated retrobulbar glaucomatous damage with favorable techniques for 1.5T diffusion-tensor magnetic resonance imaging and we compared those techniques with clinical data in a large case series. Material and methods: This Cross-sectional study included 130 eyes of 65 patients with primary open-angle glaucoma. Patients with no known ocular or systemic concomitant disorders, neurological diseases, previous glaucoma surgeries, or antioxidant usage were selected. A decrease in thickness and deterioration in the optic nerve diffusion of severely glaucomatous eyes of patients with asymmetrical involvement was observed in optic nerve tractography. Optical coherence tomography and visual field results of the subjects were recorded. Glaucoma analysis with optical coherence tomography and standard automated perimetry results of the subjects were recorded. Diffusion-tensor magnetic resonance imaging analysis of optic nerves and radiations were performed, computing fractional anisotropy, apparent diffusion coefficient, axial diffusivity, and radial diffusivity. Correlation between the diffusion-tensor magnetic resonance imaging and clinical eye parameters of glaucomatous neurodegeneration were statistically evaluated. Results: The correlations between diffusion parameters and age were highly significant. Statistically significant correlations were found between ganglion cell complex and apparent diffusion coefficient, axial and radial diffusivities of optic nerves. Conclusion: Eye-brain connection in glaucoma can be evaluated with routine clinical instruments. Our study also revealed a limited correlation of retrobulbar glaucomatous neurodegeneration with ophthalmic damage. A better understanding of retrobulbar damage will enable us to develop more efficient strategies and a more accurate understanding of glaucoma.

Psychopatia is a borderline between mental diseases and good health. One of its versions is mosaic psychopatia. For certain everyone knows, that the mosaic represents. These are the parts of diverse elements collected together. And so this disease is named after the patient shows signs of several types of psychopatia at once. It is known that Historic figures such as Ivan Grozny, Hitler, Stalin, Putin and other dictators have suffered from this disease.

The fact that general practitioner (GP) or psychiatrist understands the psychosocial effects of prescribing on the doctor-patient relationship is as important, if not more so, than knowing pharmacology. Any prescription of drugs modifies the doctor-patient relationship. Drugs, especially psychotropic drugs, act on symptoms and change thoughts, feelings, and behaviors; they can create both physical and psychological dependency; they can discourage a deep search for real solutions, both on the part of the doctor and the patient; they can affect the doctor’s access to the patient and the problem will be out of their reach. Psychotropic drugs can make the effect of the doctor in himself as a drug more difficult, favor an insignificant or problematic or little human relational context, where the GP/psychiatrist does not delve into the true meaning of the symptoms, and the patient tends not to get involved, to make an emotional withdrawal, to be passive before the prescribed drug, and can result in the chronification and structuring of functional symptoms that become organic, with lack of cooperation of the doctor and the patient, and paradoxically with over-compliance or therapeutic discontinuity and the lack of pharmacological adherence, absences to appointments or delays or cancellations of visits, and the denial of responsibility of both the doctor and the patient.

Antibiotic resistance is a growing global crisis, straining healthcare systems and leaving us with limited options to combat drug-resistant bacteria. This retrospective, cross-sectional study examines the prevalence of antibiotic resistance patterns among urinary tract infections (UTIs) in Al-Shifa Hospital’s medical departments in comparison with non-medical departments using data from microbiology laboratory archives over a one-year period. From the examined urine cultures about 25% were obtained from internal medicine departments and double the number was obtained from non-medical departments. The positive rate was around 35% and about two-thirds of the samples were collected from female patients. Among all departments, Enterobacteriaceae spp. were found to be the most frequently isolated uropathogens, accounting for 80% of cases. However, resistance rates varied depending on the specific organism and antibiotic used. For instance, E. coli showed a resistance rate of only 5% against meropenem, while amoxicillin-clavulanic acid exhibited a resistance rate exceeding 95%.Importantly, the study revealed a significant disparity in resistance rates between medical and non-medical departments, specifically concerning third-generation cephalosporins. In internal medicine departments, resistance rates were alarmingly high, with cefotaxime, ceftriaxone, and ceftazidime showing resistance rates of 75%, 75% and 66.5% respectively. In contrast, non-medical departments displayed lower resistance rates, approximately 60%, 60% and 40%, respectively.In summary, this research sheds light on the escalating problem of antibiotic resistance in UTIs and emphasizes the discrepancy in resistance rates between medical and non-medical departments. Urgent efforts are required to address this issue and find effective solutions to prevent the rise of untreatable bacterial infections.