Table of Contents: Volume 16; Issue 07; July 2024

This research article presents a comparison of the characteristics of power demands for the state of Bihar, India, and examines its probable relationship with the weather variable factors. In fact, weather plays a key role in alerting the power demand of any area as it completely changes the load pattern. Because of that, a lot of parameters such as voltage, frequency, and power are regulated as per the demand, making the generators very responsive during the block times so as to maintain the load. Temperature and rainfall have been found to play a very important role in regulating the demand for energy in the state. We find that the state of Bihar's power system is growing rapidly, with peak-demand increases of up to 6.6 GW due to electric heating in 2021–2022.

Virtual reality (VR) technology is rapidly entering many fields, such as industry, medicine, art, tourism, and education. One common challenge for construction safety training is the lack of means to create high-fidelity digital environments to simulate and support required safety operations and assessments. Traditional workforce training and field safety data analysis methods often need to be revised to help students grasp the true complexity of construction operation and use, which could significantly impact the quality of future construction and safety training tasks. This article describes how virtual reality technology is used in education, mainly to teach labor protection in training courses for construction engineers, and the future trends. Safety is a critical issue for the construction industry. The literature argues that human error contributes to more than half of occupational incidents and could be directly impacted by effective training programs. This paper reviews the current safety training status using VR at the Ikh Zasag International University. Results from the review evidence the gap between the status and industry expectations on safety. To narrow this gap, this paper demonstrates the development and utilization of a training program based on virtual reality (VR) simulation. The VR-based safety training program can offer a safe working environment where users can effectively rehearse tasks with fire hazards and ultimately promote their fire cognition and intervention abilities. Its visualization and simulation can also remove the training barriers caused by electricity’s features of invisibility and dangerousness.

Background: Gastric cancer is one of the most common cancer worldwide and the second most common cause of death after lung cancer (6).GLOBOCAN recent (2018) estimate had shown that in Tanzania, the incidence of the new cases was 1353(3.2%) in both male and female which ranks 7th as well as 6th in terms of death, which accounts for almost 1323(4.6%) of all cancer cases diagnosed annually. Aim of this study was to determine the clinical-pathological characteristic and 1-year survival in gastric cancer patients at Ocean Road Cancer Institute, Tanzania. Methodology: This study was conducted in September 2021,retrospective hospital-based study that analyzed the medical records of patients diagnosed with gastric cancer at Ocean Road Cancer Institute from 2013 to 2017.Data extraction forms were used to extract information from files and analysis was be done by using SSPS version 23. Result: Among 150 documented cases of gastric cancer during this period 101(67.3%) were male and 49(32.7%) female., The most frequent presenting symptoms were abdominal pain followed by weight loss; the most common histopathology was adenocarcinoma, and the majority of patients presented with advanced disease stage III and IV (87.3%).Survival is good to those who treated with surgery and chemotherapy, Partial gastrectomy as better survival than total gastrectomy, and other chemotherapy regimens as better survival than capecitabine alone. Conclusion: The majority of our patients of gastric cancer were diagnosed at an advanced stage, the male and female were 2.4:1, common histopathology was adenocarcinomas. The study revealed that gastric cancer has a poor prognosis with a 1-year survival of 18.7%.

Odontomas are the most common type of benign odontogenic tumors. They are usually asymptomatic and are often discovered during routine radiography. Here, we report a case of incidental finding of a complex odontoma and associated impaction of premolar tooth in the mandibular body region of 17 year old male patient.

Here, we describe the case of a young male who presented with intertwining high-grade fever and acute-onset quadriparesis. Temporally, the weakness manifested after a seemingly innocuous treatment with intravenous 5% dextrose. A diligent fever work-up uncovered an infection with Plasmodium vivax, and biochemical analysis revealed low serum potassium. Yet, this revelation added to the riddles that entangled his diagnosis. Was this mysterious hypokalemic periodic paralysis a consequence of the innocent intravenous glucose, a silent accomplice in his plight? Or could it be an elusive manifestation of malaria, a rare expression of the disease that ensnared him?

Silent Myocardial Infarction (SMI) is a significant condition due to its asymptomatic nature, leading to delayed diagnosis and treatment. This study investigates the awareness, knowledge, and perceptions of medical students about SMI. A total of 152 medical students were surveyed using a structured questionnaire. The results highlight substantial knowledge gaps and the necessity for enhanced educational interventions.

The heart’s left ventricle (LV) has an intrinsically optimal ellipsoidal shape that efficiently contributes to its contractility. We start with this below figure,depicting the LV simulating geometrical model, as a prolate ellipsoid truncated 50% of the distance from equator to base. Based on this figure, we define:

LV shape factor: S = SA/LA (1)

Figure. LV ellipsoidal model geometry: SA = AP/2 and LA = BA/1.5, where AP and BA are the major and minor axes of the LV ellipsoid.

The values of SA and LA can be determined from the echocardiographic monitored values of the LV volume (V) and myocardium volume (VM), given by: VM = 9 π [2 LA x SA² + SA²]h/8 (2) V = 9 π SA² LA/8 (3) wherein V is LV volume, VM is myocardial volume, h is wall-thickness, LA and SA are endocardial major and minor radii. We then define V*= VM /V. Based on the left ventricular ellipsoidal shell model, we can express the circumferential pressure-normalized LV wall stress * (= /P), at the waist of the LV ellipsoidal model, as: (4) This equation provides *as a function of shape factor S, for a given V*. Then the LV contractility index is given by d*/dtmaxwhich is a function of both S and V* (= VM /V). We can thereby employ this LV contractility index which is also shown to be closely related to the conventional contractility index dP/dtmax. Now, based on the 3-d reconstructed surface images of normal LV and ischemic cardiomyopathic (ICM) LV, we have noted that a normal LV is more ellipsoidal in shape compared to the ICM LV. We have also noted that (i) the normal LV becomes more ellipsoidal from end-diastole (ED) to end-systole (ES)with greater reduction in shape factor (S), and (ii) also smaller in size (i.e. greater decrease V and hence greater increase in V*, compared to the ICM LV. In other words, the shape & size factor (S/ V*) decreases far more from the start of ejection (se) to the end of ejection (ee) in the normal LV compared to the ICM LV. So, then based on all these findings, we can now define a simplistic and yet very effective LV Shape &Size Factor-based nondimensional Contractility Index (LVSCI): LVSCI = [(S/ V*)se - (S/ V*)ee ]/ (S/ V*)se x 100 % (5) where se denotes start of ejection and ee denotes end of ejection. Based on thclinical studies data, it is shown that (i) for Group 1 with normal contractility, LVSCI = 70 and the traditional contractility indexdP/dtmax= 1406 mmHg/s, whereas (ii) for Group 3, with poor contractility LVSCI = 47 and dP/dtmax= 948 mmHg/s. This represents a big testimony of the validity and novelty of our LV shape & size based nondimensional contractility Index LVSCI. which can be totally based on LV echocardiographic imaging of LV volume and its myocardial volume only.

Statelessness remains a critical global issue, disproportionately affecting vulnerable populations and exacerbating social, economic, and political marginalization. This study examines the impacts and implications of statelessness among former Rwandan and Angolan refugees. Utilizing a multidisciplinary approach, the research delves into the historical context, causes, and contemporary consequences of statelessness for these groups. Through qualitative analyses of case studies and interviews with affected individuals, the study highlights the profound detriments statelessness imposes on identity, access to essential services, and legal rights. The findings reveal that statelessness hinders, socioeconomic integration, perpetuates poverty, and restricts educational and employment opportunities, creating a cycle of disenfranchisement. Moreover, the study underscores the urgency for international policy reforms and national legislative actions to address statelessness. It posits that in a contemporary globalized world, statelessness is an unnecessary condition that can and should be eradicated through concerted efforts by governments, non-governmental organizations, and international bodies. By bringing to light the specific experiences of Rwandan and Angolan stateless individuals, this paper aims to foster a deeper understanding of the issue and advocate for strategies to ensure citizenship rights for all, ultimately contributing to more inclusive and equitable societies.

This research aims to identify the role of technology in distance learning by improving the quality of learning for students. Technology provides access to a vast array of learning resources, including online platforms, educational websites, digital libraries, and multimedia content. These resources offer a diverse range of materials, including e-books and search databases. The study uses primary quantitative data collection methods to collect statistical information. The research aims to demonstrate that technology has the potential to improve access to education for students who may not have had the opportunity otherwise. Distance learning programs enable students to participate in educational activities regardless of their geographical location, overcoming barriers such as distance, time, and physical limitations.

The aim of this paper is to show that confidence and proximity, two ingredients of a genuine relationship between an MFI and a client, have the opposite effect. Moreover, this relationship takes place in two stages. The first stage is in the front office, the negotiation between client and manager using the individual characteristics of the client (age, sex, recidivism and cost of the microcredit "global borrowing rate: TEG") which makes it possible to create calculated confidence. The second stage is in the back office, the operationalisation of the relationship via validation by the MFI manager, using proximities (cultural, geographical, professional and temporal) which can lead to several possibilities from distrust to overconfidence. We drew on the theory of social exchange for its confidence aspect, the literature on confidence and the literature on proximities. The data are secondary, extracted from the database of an MFI in Gabon. The structural equation technique is used. The results indicate on the one hand that the MFI has a calculated confidence towards clients who have a certain experience in borrowing and who are paradoxically of retirement age, and on the other hand, the MFI manager shows an excess of confidence in male clients who borrow in the short term (temporal proximity), who practise the same profession as him (professional proximity due to corporatism) and who share the same language or nationality as him (cultural proximity due to chauvinism and/or patriotism), and paradoxically, are of retirement age. Furthermore, repeat borrowing paradoxically reduces this excess confidence. In conclusion, the confidence calculated in our context is based on two personal characteristics of the client (age and recidivism). The MFI manager's overconfidence is linked simultaneously to the proximity (temporal, cultural and professional) with the client and to the client's personal characteristics (age, sex, rate and recidivism).