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Advanced forensic approaches are necessary to handle digital crimes, as they must provide transparent methods that foster trust and enable interpretable evidence in judicial investigations. The current black-box machine learning models deployed in traditional digital forensics tools accomplish their tasks effectively yet fail to meet legal standards for admission in court because they lack proper explainability.This study creates an Explainable Artificial Intelligence (XAI) system for digital forensics to improve flagging events as legal evidence by establishing high levels of trust and transparency. A digital evidence system employs interpretable machine learning models together with investigative analysis techniques for the detection and classification of computer-based irregularities, which generate clear explanations of the observed anomalies.The system employs three techniques, including SHAP (Shapley Additive Explanations) alongside LIME (Local Interpretable Model-agnostic Explanations) and counterfactual reasoning to deliver understandable explanations about forensic findings, thus enhancing investigation clarity for law enforcement agents and attorneys as well as stakeholder professionals.The system performs successfully on actual digital forensic datasets, thus boosting investigation speed while minimizing false alerts and improving forensic decision explanations. The system must demonstrate GDPR and digital evidence admission framework compliance to maintain legal and ethical correctness for usage in court procedures.Forensic digital investigations need explainable Artificial Intelligence as an essential integration for creating reliable and legally sound practices.

A quantum mechanical model that considers tunneling and inelastic scattering has been applied to explain the hole transfer reaction from a G (Guanine) base to a GGG base cluster through a barrier of Adenine bases, (A)n (n = 1-16). For n = 1, the ratio of tunneling to inelastic scattering is about 6, which is sharply decreased to around 0.23 and 5.23 × 10-8 for n = 4 and 16 respectively, suggesting dominance of inelastic scattering for n ≥ 4. As in experiment, the calculated product yield ratios (PGGG) exhibit a strong distance dependence for n < 4, and a weak distance dependence for n ≥ 4. We also predict conditions under which oscillatory or non-oscillatory charge transfer (CT) yield are expected.

Background: Non-Communicable Diseases (NCDs) in India have increased from 37.9% in 1990 to 61.8% in 2016. They are slowly progressive are of long duration and are responsible for more than 50% of the global burden of disease Very few studies have been conducted that studied the prevalence of risk factors in non-communicable diseases among medical students. The authors observed that most of the students are at risk of developing NCDs, and the cumulative effect of risk factors bundles up and eventually leads to disease as students advance through their lives.Aim and objectives: (i) To estimate the prevalence of risk factors of NCD amongst medical students, (ii) To study the association between various risk factors and NCDs in study subjects.Settings and design: A cross-sectional analytical study involving 362 undergraduate students of Rama Medical College using simple random sampling.Material and methods: The study used a pretested structured questionnaire which was conducted by using the WHO NCD steps approach.Statistical analysis used: Data analysis was done by using M S Excel and software SPSS version 26.Results: Our study results showed that physical activity is Prevalent in female students at 51% and in male students at 48.9%, almost equal. Junk food consumption had an overall prevalence of 69.34% of females outnumbering males in junk food consumption. The association of BMI with NCD as a risk factor was statistically significant in the current 75 smokers only.Conclusion: There is a huge opportunity to reduce modifiable risk factors and NCD among our future doctors by encouraging them to change their behavior-related lifestyles such as smoking habits, alcohol use, junk food, etc.

The effect of the intrinsic lutetium radioactivity on the detection performances of a LYSO based in-beam PET-like prototype used for quality control of hadrontherapy treatments is studied. This radioactivity leads to a background that degrades the measurement of the β+ signal. In particular, it prevents the measurement of faint signals originating from low activity β+ sources. This paper presents a method to estimate the minimum β+ activity that can be measured for any acquisition time taking into account the non-extensible dead time of the detector. This method is illustrated with experimental data collected with the in-beam PET-like prototype. The results presented in this paper are therefore specific to this detector. The method can however be applied in other contexts, either to other lutetium based PET detectors or even to non-PET detectors affected by lutetium radioactivity. The dead time correction formalism can also be used generally to scale signal and background yields in any non-paralizable detector, even those in which the background is not due to the presence of intrinsic radioactivity.

The measurement of the natural ionizing radiation in the Federal University of Technology Owerri, Nigeria was carried out using a well calibrated Digital Geiger Muller counter models GCA – 04w. Measurements were taken randomly in thirty (30) diff erent locations outside the building and thirty (30) locations inside diff erent buildings in the University. Results obtained for outdoor Dose rate ranges from 0.07 μSv/hr to 0.23 μSv/hr with a mean value of 0.144 μSv/hr. While the result for the indoor dose rate ranges from 0.08 μSv/hr to 0.21 μSv/hr with a mean of 0.14 μSv/hr. The highest value recorded for the outdoor radiation is from the university front gate which is .023μSv/hr. While the highest value recorded inside the buildings is from the School of Agriculture and Agricultural Technology (SAAT) which is 0.21 μSv/hr. All these values are lower than the world safely limits of 0.247 μSv/hr. This shows that the risk of ionizing radiation on the staff and students of the Federal University of Technology is minimal.

This study was carried out to investigate the rotational structure of even-even 166Hf isotopes using the phenomenological fitting, Sood’s semi-empirical formula. The rotational energies from the calculated values were compared to the experimental spectrum. The result shows that in 166Hf, calculated energies fit the experimental values to a remarkable degree of accuracy.

Sleep influences each intellectual and physical health. It’s essential for a person’s well-being. The reality is when we see at well-rested people, they’re working at an exclusive degree than people making an attempt to get by way of on 1 or 2 hours much less nightly sleep. Loss of sleep impairs your higher tiers of reasoning, problem-solving and interest to detail. Sleep deficit will additionally make people much less productive and put them at higher danger for creating depression. Sleep affects almost each tissue in our bodies. It influences growth and stress hormones, our immune system, appetite, breathing, blood pressure and cardiovascular health. Nurses play a foremost function in teaching and guiding the sleep deprived patients on the importance of sleep and its physiological and psychological effects.

Non-contact injuries with playing surfaces occurring from applied player impact and frictional forces are a major source of lower extremity injuries in competitive sports. Artificial playing surfaces are a common alternative to natural grass surfaces; however, these surfaces are associated with player injury as well. The purpose of this manuscript is to explore the existing literature on the relationship between cleat surface interface and lower extremity injuries in athletes and the importance of proper playing surface conditions alongside proper cleat selection to optimize injury prevention and athletic performance. As artificial turf has become more advanced, studies have shown the rates of lower extremity injuries of the knee, ankle, and foot have decreased to be more similar to the rate of injury on natural grass. However, foot and ankle injury rates remain significantly higher on artificial turf. Furthermore, certain studies continue to demonstrate an increased rate of knee injuries in football players, suggesting that significant performance differences still exist between artificial turf and natural grass. Future studies warrant focusing on ways to improve the cleat-surface interface of new-generation turf, emphasizing proper cleat selection, and playing surface conditions for injury prevention thus optimizing athletic performance.

Background: Macitentan significantly improves pulmonary hemodynamics and survival in patients with primary pulmonary hypertension (PPH). Its beneficial effect, however, may be blunted due to the adverse impacts such as anemia and peripheral edema. Pulmonary arterial hypertension (PAH) is a significant consequence of congenital heart disease (CHD). Its presence and severity are associated with increased morbidity and mortality. We tried to evaluate that the effectiveness of the macitentan in patients with late-onset pulmonary hypertension after atrial septal defect operation in our center. Methods: The effect of a single dose of macitentan (10 mg) on pulmonary hemodynamics, functional capacity was examined in four patients with late-onset pulmonary hypertension after atrial septal defect operation. Results: The macitentan significantly improved mean pulmonary artery pressure (MPAP), cardiac output (CO), tricuspid annular plane systolic excursion (TAPSE), right ventricle systolic wave(RVS’), 6-minute walking test and NT-proBNP levels compared with before treatment. Conclusions: Macitentan can be used in patients with late-onset pulmonary hypertension after shunt operation especially atrial septal defect.

It is planned to carry out a comprehensive experimental and theoretical study on the high temperature of low calorific gas combustion with oxygen-deficient oxidizers. The experimental research will be performed using the experimental facility with a combustion chamber. The oxygen concentration in combustion oxidizers will be varied from 21% by volume (normal) air to 2%. The test combustion chamber will be fed with propane or methane as the reference fuel, then with low calorific fuels as test gases obtained by mixing various combustible components, e.g. H2, CH4, CO, and neutral gases, e.g. N2, CO2. Gaseous fuels prepared in this way will be burned in the atmosphere of a deficient oxidizer with a temperature changing from 800 °C to 1100 °C. Oxidizers will be heated up to a certain temperature using two methods: by flue gas heat exchanger and kanthal rod electric preheater. Different burner geometry will be used. The burner will be equipped with annular swirl vanes for co-axial or under different angles, fuel, and oxidizers flow to have a high swirl number achieved by flow aerodynamics and mixing. Experimental data will be verified with numerical simulations with the use of ANSYS CFD Fluent code.