Introduction The cephalic index (CI) is the most commonly used index to determine the race of an individual. It is calculated as the ratio of the breadth of the skull to the length of the skull multiplied by 100. The CI of an individual can be influenced by factors such as race, ethnicity, genetic predisposition, lifestyle choices, nutritional habits, environmental factors, and climatic conditions. Material and methods This study was carried out on 413 individuals in the tribal districts of Himachal Pradesh (Kinnaur, Spiti, and Lahaul), with 247 (59.8%) male and 166 (40.2%) female subjects. Measurements of the skull were taken using a spreading caliper. The CI was calculated using Hardlika's method and data were analyzed using IBM SPSS version 27 (IBM Corp., Armonk, NY, US). Results The head shapes of the majority of the tribal population of Himachal Pradesh are mesocephalic, with the mean CI for males and females being 78.90 and 79.81, respectively, without any significant difference. The mean CI of the overall population is 79.27. The majority population of the Kinnaur district is brachycephalic, while the Spiti and Lahaul populations are mesocephalic with females predominately brachycephalic and males predominately mesocephalic. Conclusion The Indigenous population of Himachal Pradesh is mesocephalic with females predominately brachycephalic.
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http://dx.doi.org/10.7759/cureus.68018 | DOI Listing |
J Environ Manage
January 2025
Department of Environmental Sciences, Central University of Himachal Pradesh, Dharamshala, 176215, India.
Microplastics (MPs) are produced from various primary and secondary sources and pose multifaceted environmental problems. They are of non-biodegradable nature and may stay in aquatic environments for a long time period. The present review has covered novel aspects pertaining to MPs that were not covered in earlier studies.
View Article and Find Full Text PDFIndian J Psychiatry
December 2024
Department of Nuclear Medicine, AIIMS, Bilaspur, Himachal Pradesh, India.
Background: Intermittent theta burst stimulation (iTBS) is an accepted and approved brain stimulation technique to treat patients with treatment-resistant depression.
Aim: Using neuroimaging, this open-label study aimed to predict the response by observing glucose metabolism with the help of 18-FDG PET scan.
Methods: A total of 25 treatment-resistant depression patients received 15 sessions of iTBS on the left dorsolateral prefrontal cortex.
Compr Rev Food Sci Food Saf
January 2025
Department of Dairy Technology, College of Dairy Science and Technology, Lala Lajpat Rai University of Veterinary and Animal Sciences, Hisar, Haryana, India.
The Jerusalem artichoke (JA), a plantrelated to sunflowers and native to North America, has long been valued for its versatility, especially during periods of food scarcity. This resilient crop serves multiple purposes, functioning as a vegetable, medicinal herb, grazing crop, and even a biofuel source. In recent years, interest in JA has grown, largely due to its high nutritional profile and associated health benefits.
View Article and Find Full Text PDFSci Rep
January 2025
Department of CSE, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
The composition of the metal-polymer friction pair is carefully considered for interacting with water and hydrogen, ensuring the metals electrode process potential remains below waters in a neutral medium. Simultaneously, adherence to defined chemical composition ratios for the metal-polymer materials is crucial. This analysis is conducted under conditions of thermal stabilization, characterized by a minimal temperature gradient across the rim thickness within an equivalent thermal field.
View Article and Find Full Text PDFSci Rep
January 2025
Ministry of Higher Education, Mataria Technical College, Cairo, 11718, Egypt.
The current work introduces the hybrid ensemble framework for the detection and segmentation of colorectal cancer. This framework will incorporate both supervised classification and unsupervised clustering methods to present more understandable and accurate diagnostic results. The method entails several steps with CNN models: ADa-22 and AD-22, transformer networks, and an SVM classifier, all inbuilt.
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