RescueAlert-an accident detection and rescue mechanism

With the increase of vehicles and cars of different kind and the large movement that occurs every day on the roads it was natural to observe an increase in traffic accidents, but the real dilemma lies in how to make the rescue process efficient. The problem that we want to solve is the response of ambulances towards accidents and the lengthy registration process of patients in hospitals. In the above two scenarios, the manual process of calling the ambulance leads to delay in rescue of patients from an accident and the delay in registration of patient leads to delay in medication or treatment of the patient. We want to make the process more efficient by automating accident detection for increasing the efficiency of the ambulance rescue process and by sending the details of the patient before the patient reaches the hospitals for faster treatment of patients. Along with this, alert messages will be sent to the family or friends of the patients to notify them as soon as an accident is detected

Traditional healing practices for treatment of animal bites among tribes of India: A systematic review

Animal bites are a significant concern of public health and mortality throughout the world, wherein India reports the highest number of deaths due to snakebites. The tribes of India (Scheduled Tribes or STs), constituting about 8.6% of India’s population with a total of more than 104 million, mostly inhabit remote and inaccessible areas, with their subsistence and habitation being primarily forest-derived. This forest-based lifestyle exposes tribal populations to animal bites which are often lethal, and at the same time, it is the forest only on which tribes are dependent for getting their primary health care through the institution of traditional healer or ethnomedical practitioner who uses natural resources to cure various health issues. This system of knowledge and immense know-how of illness, diagnosis, treatment and utilization of natural resources (especially plants) in treatment of a myriad of ailments is transferred orally from one generation to another. The present work is an attempt to assemble information related to various plants and practices being used as traditional medicine for treating animal bites by the tribes of India. The review was undertaken by categorising research articles focusing on tribes residing in different geographical zones of India (seven zones for the current purpose) and their treatment pattern involving usage of plants for various types of animal bites. We find that present work fills-in the critical gap by providing detailed analysis of 276 plant species being used in 423 herbal preparations for curing animal bites by 81 tribes of India.  It is found that tribal populations residing in Southern parts of the country report the usage of highest number of medicinal plants, whereas scarce data is available on the traditional medicinal practices for curing animal bites in tribes of the Island zone (i.e., in the Andaman & Nicobar Islands). This facet of tribal lifestyle, involving usage of natural resources around them for healthcare, is in a way exemplary of their survivability in tough forested conditions since time immemorial, and, thus should be treated as a success story in itself.

Preoperative evaluation of superficial cortical venous drainage

Objectives and methodology: The preoperative exact localization of superficial intracranial lesions and superficial cortical veins is often necessary for making craniotomy and evaluation of cortical veins. We developed a simple and cheap method for such localization using cod liver oil capsule during the preoperative MRI and MRV brain examination. With the help of MRV brain, 3DCEMRV and 2DTOF images were taken and superficial cortical veins studied in the marked area for comparison between both modalities of MRV and planning of surgery for avoiding venous injury. Results: Most of the cases were in the age group 16-60 years (91.6%). The most common clinical manifestation was headache (85.4%) and meningioma (60.4%) was found to be the most common pathology. Clear visualization (Grade 3) of the individual superficial cortical vein was observed in 48 cases (100%) in 3DCEMRV as compared to 2DTOF 22 cases (45.8%) P <0.001S. Clear visualization (Grade3) of superior sagittal sinus was observed in 48 cases (100%) in 3DCEMRV as compared to 2DTOF 33 cases (68.6%) P <0.001S.  In post-operative CT Head, we found 4 (8.3%) cases were having venous infarction.  5 patients (10.4%) developed motor weakness postoperatively. In 3 cases, postoperative MRV were done and found no venous injury. Conclusion: This study showed that preoperative localization and evaluation of the tumoral area and cortical veins with the help of cod liver oil in MRI and MRV brain was very helpful in planning the surgery, making craniotomy and to avoid injury of the veins. This technique is easy to perform and the capsule is easily constructed and inexpensive. 3DCEMRV was found to be better modality than 2DTOF for delineation of veins. Final neurosurgical outcomes were better

Study of Code Smells: A Review and Research Agenda

Code Smells have been detected, predicted and studied by researchers from several perspectives. This literature review is conducted to understand tools and algorithms used to detect and analyze code smells to summarize research agenda. 114 studies have been selected from 2009 to 2022 to conduct this review. The studies are deeply analyzed under the categorization of machine learning and non-machine learning, which are found to be 25 and 89 respectively. The studies are analyzed to gain insight into algorithms, tools and limitations of the techniques. Long Method, Feature Envy, and Duplicate Code are reported to be the most popular smells. 38% of the studies focused their research on the enhancement of tools and methods. Random Forest and JRip algorithms are found to give the best results under machine learning techniques. We extended the previous studies on code smell detection tools, reporting a total 87 tools during the review. Java is found to be the dominant programming language during the study of smells

The Comparison Of Linguistic Value And Cultural Aspects Of People’s Names In English And Uzbek Languages

The analysis of linguistic and cultural aspects of people’s names in English and Uzbek provides valuable insights into linguistic value theory. Both languages exhibit linguistic diversity, names drawing from various sources, religious influences. People’s names in both languages convey positive connotations and values, with English names often denoting qualities like grace and strength, while Uzbek names frequently reflect virtues, aspirations, and connections to nature. Family and lineage play a significant role in naming practices in both languages

Metallopharmaceuticals Compound -Past Lessons And Future Directions - A Review

This article is an overview that discusses the history, chemistry, synthesis, prospects, and applications of Schiff bases and related metal compounds. This provides an update on recent facts regarding Schiff's performance, which consisted of a variety of challenging elements. The field of therapeutic inorganic chemistry lies at the crossroads of medicine and inorganic chemistry. It consists of metal-based drugs, professionals who can sequester and mobilise metal, and demonstrative aids that contain metal. Drugs that are formed of organometallic compounds have been used for the treatment of a wide variety of ailments for many years. At the level of individual atoms, the following metal elements play significant roles in the architecture of living organisms: When antimicrobial drugs interact with particular metal particles, the drugs might become more effective against microbes. It is possible to enhance the activity of bioactive molecules by utilising coordination compounds that contain metal. In this article, several different applications of metals in biological systems will be discussed in depth. &nbsp

Needle Stick Injury among Health Care Workers and Its Aftermath in a Tertiary Care Hospital in East Delhi, India

Needle stick injuries (NSI) present serious occupational threat to healthcare workers (HCW).Due to lack of epidemiological data on NSI in this geographical region, the present study was conducted to estimate incidence rate of NSI, identify factors associated, assess awareness of HCWs and evaluate post-injury sero-reactivity rates. This cross-sectional observational study involved 524 HCWs (151 medical and 373 paramedical staff). A validated questionnaire was filled by investigator using interviewing technique. Blood sample was collected from study subjects who reported NSI within last 28 days, at the time of NSI and subsequently after 1, 3 and 6 months. Screening for HBsAg, anti-HCV and anti-HIV 1/2 antibodies was done using commercially available Enzyme-Linked Immunosorbent Assay Kit. Sixty-three HCWs, comprising mainly of medical staff, gave history of NSI in preceding 28 days. The most frequent procedure leading to NSI included recapping needles and suturing in 28.57%, while commonest root cause was haste in 61.91%. Majority (61.91%, 39/63) suffered from NSI during latter part of their duty hours. None became HBsAg, anti-HCV or HIV seropositive. The proportion of NSI among HCWs who had received training on prevention and management of NSI was significantly lower than those who were untrained. Hence training programs emphasizing on safe techniques must be conducted regularly and HCWs putting in long working hours must be allowed to take breaks. Needle stick injury among health care workers and its aftermath in a tertiary care hospital in East Delhi, India

Effectiveness Of 1.2% Simvastatin Gel as an Adjunct to Non-Surgical Therapy in The Treatment of Chronic Periodontitis: A Split Mouth Randomized Controlled Trial

BACKGROUND: Periodontitis is an inflammatory disease that results in bone resorption creating bony defects, which may cause tooth loss. AIM: The present study aimed to evaluate the effectiveness of 1.2% Simvastatin gel as an adjunct to non-surgical therapy to treat chronic periodontitis (CP). MATERIALS AND METHOD: 25 patients with 50 sites were categorized into two treatment groups: Scaling and Root Planing plus 1.2% Simvastatin, and Scaling and Root Planing with placebo. Clinical parameters; site-specific plaque index, modified sulcus bleeding index (mSBI), pocket probing depth (PD), and relative attachment level (RAL) were recorded at baseline, 3, 6, and 9 months. RESULTS: Mean PD reduction and mean RAL gain was found to be greater in Simvastatin group than the placebo group, at 3, 6, and 9 months. CONCLUSION: Locally delivered Simvastatin was found to be effective in the treatment of chronic periodontitis (CP)

Comparison of ARIMA, SutteARIMA, and Holt-Winters, and NNAR Models to Predict Food Grain in India

The agriculture sector plays an essential function within the Indian economic system. Foodgrains provide almost all the calories and proteins. This paper aims to compare ARIMA, SutteARIMA, Holt-Winters, and NNAR models to recommend an effective model to predict foodgrains production in India. The execution of the SutteARIMA predictive model used in this analysis was compared with the established ARIMA, Neural Network Auto-Regressive (NNAR), and Holt-Winters models, which have been widely applied for time series prediction. The findings of this study reveal that both the SutteARIMA model and the Holt-Winters model performed well with real-life problems and can effectively and profitably be engaged for food grain forecasting in India. The food grain forecasting approach with the SutteARIMA model indicated superior performance over the ARIMA, Holt-Winters, and NNAR models. Indeed, the actual and predicted values of the SutteARIMA and Holt-Winters forecasting models are quite close to predicting foodgrains production in India. This has been verified by MAPE and MSE values that are relatively low with the SutteARIMA model. Therefore, India’s SutteARIMA model was used to predict foodgrains production from 2021 to 2025. The forecasted amount of respective crops are as follows (in lakh tonnes) 1140.14 (wheat), 1232.27 (rice), 466.46 (coarse), 259.95 (pulses), and a total 3069.80 (foodgrains) by 2025