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Childhood obesity has increased significantly all around the world. On one hand where being underweight predisposes a child towards infectious ailments whereas on the other hand obesity during childhood has been associated with many metabolic and cardiovascular illnesses. So the aim of the present study is to observe different types of dermatoglyphic patterns in adolescents of various body mass index percentile and their association, with body mass index. The sample consisted of 160 subjects belonging to age group 12-16 years, who were divided into four groups based on their body mass index. Significant differences have been found among the various groups in index and middle fingerprint pattern of right hand. So, it was concluded that significant differences exist between fingerprint patterns of adolescents belonging to various body mass index.

Accidental ingestion of sewing needle is a common presentation in daily emergency medical practice but its insertion through the abdominal wall is quite rare. We present a case of 26 years old serving soldier who had an accidental intraabdominal insertion of sewing needle which was managed laparoscopically. Initially patient was asymptomatic, however he complained of lower abdominal pain later. This was followed by successful laparoscopic retrieval of sewing needle located in right iliac fossa with no documented complications during six months of follow-up of the patient.

In recent years, social media has become more advanced, providing travelers with various opportunities to visualize their destination before executing their plans. On the other hand, social networks have also evolved in such a way that they not only became valuable marketing tools for businesses but also proved to be valuable source of information for consumers as it plays a significant role in the decision-making process. The objectives of this research study were to determine if social media has any impact on Tourism, to determine what tourists’ perceived benefits of using social media when taking trips are, and to ascertain if there were any strategic opportunities for value creation for the tourist. Through a survey answered by 267 respondents, the most influential attributes of social media usage in tourism were ascertained, the travelers’ perception of social media was analyzed, and the critical functionalities were determined. In hypothesis testing, independent variable social media functionalities significantly influenced tourist destinations. Whereas various perceptions of social media had no significant influence on a tourist destination regarding reliability, accuracy, and value. After analyzing the study, it is concluded that social media does indeed have an impact on tourism. It can even be used as a sustainable competitive advantage if tourism firms develop a positive reputation and focus on personalizing their services as the key element for their value-creating strategy.

Maize straw- and rice husk-derived biochars were produced in a simple metal kiln without automated control. Their characteristics and effects on crop productivity were investigated in three fields in Nepal. The maximum temperature inside the kiln reached ~ 450 °C; the charring reaction was maintained for 90 min and 10 h for maize straw- and rice husk-derived biochars, respectively, until 30 °C was reached. The physicochemical properties of the biochars were similar to those of biochars manufactured previously in electric furnaces with automated control. Compared with control soil, incorporation of maize straw- and/or rice husk-derived biochars into soil significantly (p

Introduction: Orthopaedic surgical activity has been significantly affected by COVID-19 pandemic. The decision to perform operative interventions is based on balancing risk to benefit to the patient and health care workers. Though different guidelines have been published, there is a lack of reliable data on orthopaedic surgical activities. Our study aimed to evaluate the impact of the COVID-19 pandemic on Orthopaedic surgeries comparing with the previous year. Methods: This was an epidemiological retrospective comparative study conducted at Shree Birendra Hospital, Nepal after taking ethical approval from the Institutional Review Committee of NAIHS. Data of the first four month of orthopaedic surgeries after National lockdown (from March 24 to July 23, 2020) and the same four month period of the previous year (The year 2019) were retrieved. The demographic profiles and operations categories (trauma, elective and infections) were compared between two periods using SPSS 21. Result: Out of total of 651 patients enrolled, 169 patients operated during the pandemic compared with 482 patients before the pandemic. There was a 65% reduction in total surgical procedures, 94% reduction in elective cases and trauma cases were reduced by 29% (P < 0.05). Implant removal (107, 42.8%) constituted the highest elective cases in the year 2019. Conclusions: The orthopaedic surgical procedures were decreased in frequency during COVID-19 because of a decrease in elective cases. The total trauma patients remained more equable during pandemic despite strict lock-down. Health care facilities should consider this during post pandemic recovery.

Introduction: The number of breastfeeding mothers participating as a labor force to generate income has been increasing in Nepal. In this regards study aims to assess the survival of Under 3 children in Nepal from the mother based on their labor force participation and breastfeeding status. Methods: Data for the study were obtained from the Nepal Demographic Health survey 2016-2017. The sample size of the study was 2,994 live birth children born in the last three years from the day of interview. The robust hazard ratio and cox proportional hazard regression were conducted between dependent and independent variables to come to the conclusion.Results: Among 2994 live birth, 85 children died before reaching 36 months of their life. Among them more than 80 % of the non-working mothers were breastfeeding their children. The analysis revealed that the survival of the children under-3 is positively associated with the interaction with mother work and breastfeeding status, family structure, relationship with household head, wealth quintiles, caste and religion of mother. Conclusion: The highest rate of child survival was from the working mothers as well as continuing breastfeeding to their child followed by mothers breastfeeding the child but not working, mother working but not breastfeeding the child and mothers those were neither working nor breastfeeding their child respectively. Employers should be encouraged to have a breastfeeding policy in work place through establishment of breastfeeding facility, paid maternity leave and flexible work schedule.

Introduction Dental caries is the most widespread disease affecting children worldwide. The reason for this increased prevalence is the use of more processed foods and beverages with the addition of refined sugars. General health affects oral health and its maintenance is of great importance. Lifestyle modifications and habits are formed at an early age therefore health education plays an important role in educating them about the prevention of problems related to oral health. Hence, the aim of this study was to assess and compare the effectiveness of conventional method, game-based and storybook-based oral health education on the oral hygiene status among 7-12-year-old schoolchildren. Purpose To assess and compare the effectiveness of conventional method, game-based and storybook-based oral health education on the oral hygiene status among 7-12-year-old schoolchildren. Materials and methods A total of 300 children aged 7-12 years were divided into 3 groups. Each group had 100 children which were randomly assigned to each of the three groups. In group I, oral health education with the help of conventional method using educative posters was given to children once daily for a week. In group II, oral health education was imparted to children through play method (i.e., snakes and ladders game combined with flash cards) followed by group III, in which children were given education through self-made storybooks. The oral hygiene of all the children was estimated through Oral Hygiene Index-Simplified Debris (DI-S) score at day 1 and after 3 months after intervention. Results In group III, storybooks showed maximum reduction in debris score which was found to be highly statistically significant followed by game based (group II) and conventional method (group I) of oral health education. Conclusion The reduction in debris score was seen maximum in group III (storybooks). Hence, the use of storybooks should be encouraged for educating children regarding basic oral health concepts. Clinical significance There is important need to understand differences in the mental cognitive ability of the children at different ages and the need to develop different intervention programs for different age-groups. Rationalizing reading can be an intelligent initiative toward the development of good oral habits and transforming the outlook of oral healthcare system in years to come. How to cite this article Sharma S, Saxena S, Naik SN, et al. Comparison between Conventional, Game-based, and Self-made Storybook-based Oral Health Education on Children's Oral Hygiene Status: A Prospective Cohort Study. Int J Clin Pediatr Dent 2021;14(2):273-277.

Aim: The aim of this study is to evaluate the change in the position of hyoid bone, pharyngeal airway, and tongue position in subjects with skeletal Class II malocclusion treated with Twin block therapy. Materials and Methods: This study was performed on pre and post treatment lateral cephalograms of 21 patients with class II malocclusion treated with Twin block appliance, (mean age of (12.24± 1.22). Paired-t test was used to compare the amount of differences of mean value before and after treatment. A value of P

Road safety is a critical issue worldwide. We believe that mobile devices can play a positive role in this context by detecting dangerous conditions and providing feedback. This paper focuses on a specific problem in developing countries: the stopping behaviour of buses in the vicinity of bus stops. For instance, buses could arrive at a bus stop but continue rolling forward instead of coming to a complete halt, or could stop some distance away from the bus stop, possibly even in the middle of a busy road. Such behaviors put at risk the passengers boarding or alighting the bus, and also the people waiting at a bus stop. We present FullStop, a smartphone-based system that detects safety risks emanating from stopping behavior like the ones listed above. We show that the GPS and inertial sensors are unable to perform the fine-grained detection needed. Therefore, our approach in FullStop is based on the view obtained from looking out to the front of the vehicle using the camera of a smartphone that is mounted on the front windshield. Using optical flow vectors, with several refinements, FullStop running on a smartphone is able to effectively detect various unsafe bus stopping behaviours.

Medial epicondyle fracture associated with incarcerated intra‐articular fragment and ulnar nerve palsy is uncommon and frequently missed. We report a case of 13‐year‐old boy with incarcerated medial epicondyle fracture fragment in ulnohumeral joint and ulnar nerve palsy, which was managed successfully by open reduction internal fixation and ulnar nerve transposition.

Current smartphone-based navigation applications fail to provide lane-level information due to poor GPS accuracy. Detecting and tracking a vehicle’s lane position on the road assists in lane-level navigation. For instance, it would be important to know whether a vehicle is in the correct lane for safely making a turn, or whether the vehicle’s speed is compliant with a lane-specific speed limit. Recent efforts have used road network information and inertial sensors to estimate lane position. While inertial sensors can detect lane shifts over short windows, it would suffer from error accumulation over time. In this article, we present DeepLane, a system that leverages the back camera of a windshield-mounted smartphone to provide an accurate estimate of the vehicle’s current lane. We employ a deep learning--based technique to classify the vehicle’s lane position. DeepLane does not depend on any infrastructure support such as lane markings and works even when there are no lane markings, a characteristic of many roads in developing regions. We perform extensive evaluation of DeepLane on real-world datasets collected in developed and developing regions. DeepLane can detect a vehicle’s lane position with an accuracy of over 90%, and we have implemented DeepLane as an Android app.

Study Design: Epidemiological retrospective study. Objective: To describe the demographics, timing to surgery, delay, short-term neurological recovery, and complications in surgically treated subaxial cervical trauma in a resource-constrained country. Methods: Thirty consecutive subaxial cervical trauma patients presenting to a trauma hospital in Nepal between December 2015 and August 2017 were analyzed as a retrospective cohort. Patients were segregated into 4 groups based on the timing to surgery: within 2 days, 3 to 7 days, 8 to 30 days, and >31 days. Results: There were 27 male and 3 female patients with mean age 40 years. Twenty-four sustained fall injury, and 27 patients were from outside Kathmandu. No patients were treated within the first 48 hours; only 9 were treated between 3 and 7 days, 16 between 8 and 30 days, and 5 a month later. Major delay was finance and operating room availability. Thirteen patients had a C6C7 involvement followed by C5C6 in 6 patients. Seven patients had complete neurological deficit while 18 patients had incomplete deficit. A total of 46.7% improved their neurology in 6 months. No neurological recovery was observed in complete deficit patients. Conclusion: Seventy percent of our patients were treated longer than 1 week after injury, which would likely be considered unacceptable in most first world countries. As expected, the outcomes for many of these patients were far worse than reported in North American centers with early access to medical care and insurance. Despite this, nearly half of our patients improved neurologically following treatment; hence, surgery holds hope of some restoration of neurologic deficits.

Mountains of Nepal are rich in natural resources as well as shelter for many ethnic group and indigenous community. Mountain people depend on natural resources and unique landscapes to survive, to preserve a unique sense of identity, and to provide livelihoods for centuries. The COVID-19 pandemic has brought unprecedented damage to the mountain economy given the immediate effect on ecotourism and remittance, which are the main source of income for communities in the mountains. People in mountains have been using indigenous and local knowledge for utilization of natural resources for their survival. Skilled manpower returning home from abroad can be beneficial and with the use of appropriate technology will be beneficial for those returning from the abroad due to various reasons. Sustainable harvesting of natural resources and various micro/small enterprises can be developed using the appropriate technology. These enterprises not only creates jobs but also can contribute to improve the local to national level economy. A new approach is required combining the science and engineering aspect with local communities contributing their local knowledge and practices, which can develop socio-environmental resilience-building and transformation in mountains of Nepal.

Radial head dislocations are uncommon in adults. They are commonly seen in children and aregenerally associated with proximal ulna fracture. Radial head dislocation with associated proximalradial shaft fracture is rarer than isolated radial head dislocation in adults. Due to the rarity of thiscomplex injury, in the absence of keen observation and meticulous attention, the correct diagnosismight be missed leading to unsatisfactory management and related complications. Here, a similarcase of radial head dislocation with associated proximal radial shaft fracture has been presented.

Roads form a critical part of any region's infrastructure. Their constant monitoring and maintenance is thus essential. Traditional monitoring mechanisms are heavy-weight, and hence have insufficient coverage. In this paper, we explore the use of crowd-sourced intelligent measurements from commuters' smart-phone sensors. Specifically, we propose a deep-learning based approach to road surface quality monitoring, using accelerometer and GPS sensor readings. Through extensive data collection of over 36 hours on different kinds of roads, and subsequent evaluation based on this, we show that the approach can achieve high accuracy (98.5%) in a three-way classification of road surface quality. We also show how the classification can be extended to a finer grained 11-point scale of road quality. The model is also efficient: it can be implemented on today's smart-phones, thus making it practical. Our approach, called RoadCare, enables several useful smart-city applications such as spatio-temporal monitoring of the city's roads, early warning of bad road conditions, as well as choosing the "smoothest" road route to a destination.

Determining the location of a mobile user is central to several crowd-sensing applications. Using a Global Positioning System is not only power-hungry, but also unavailable in many locations. While there has been work on cellular-based localization, we consider an unexplored opportunity to improve location accuracy by combining cellular information across multiple mobile devices located near each other. For instance, this opportunity may arise in the context of public transport units having multiple travelers. Based on theoretical analysis and an extensive experimental study on several public transportation routes in two cities, we show that combining cellular information across nearby phones considerably improves location accuracy. Combining information across phones is especially useful when a phone has to use another phone’s fingerprint database, in a fingerprinting-based localization scheme. Both the median and 90 percentile errors reduce significantly. The location accuracy also improves irrespective of whether we combine information across phones connected to the same or different cellular operators. Sharing information across phones can raise privacy concerns. To address this, we have developed an id-free broadcast mechanism, using audio as a medium, to share information among mobile phones. We show that such communication can work effectively on smartphones, even in real-life, noisy-road conditions.

Scissor bites is a less often encountered situation in a clinical operatory but the treatment can be challenging for a clinician. Many treatment modalities for the scissor bite are available some of which includes cross elastics, transpalatal arches. The present article describes the treatment of posterior scissor bite using a removable orthodontic appliance. Keywords: Scissor bite, Removable appliance, Orthodontic bracket.

Calcific tendinitis occurs frequently in shoulder and hip region. Its occurrence in elbow joint is frequently misdiagnosed because of its rare incidence and similar clinical presentation with other acute conditions of elbow like trauma, infection and tennis elbow. Characteristic symptoms of this condition are acute onset of pain, tenderness and swelling on the lateral aspect the elbow. Plain Radiograph is the primary modality to distinguish and evaluate this condition. Awareness and familiarity with this condition helps in early diagnosis and avoids unnecessary treatments and biopsy as this condition is self-limited.Keywords: Calcific tendinitis; self-limited; tennis elbow.

Current smartphone-based navigation applications fail to provide lane-level information due to poor GPS accuracy. Detecting and tracking a vehicle's lane position on the road assists in lane-level navigation. For instance, it would be important to know whether a vehicle is in the correct lane for safely making a turn, perhaps even alerting the driver in advance if it is not, or whether the vehicle's speed is compliant with a lane-specific speed limit. Recent efforts have used road network information and inertial sensors to estimate lane position. While inertial sensors can detect lane shifts over short windows, it would suffer from error accumulation over time. In this paper we present DeepLane, a system that leverages the back camera of a windshield-mounted smartphone to provide an accurate estimate of the vehicle's current lane. We employ a deep learning based technique to classify the vehicle's lane position. DeepLane does not depend on any infrastructure support such as lane markings and works even when there are no lane markings, a characteristic of many roads in developing regions.We perform extensive evaluation of DeepLane on real world datasets collected in developed and developing regions. DeepLane can detect vehicle's lane position with an accuracy of over 90% in both day and night conditions. We have implemented DeepLane as an Android-app that runs at 5 fps on CPU and upto 15 fps on smart-phone's GPU and can also assist existing navigation applications with lane-level information.

Road safety is a major public health issue the world over. Many studies have found that the primary factors responsible for road accidents center on the driver and her/his driving. Hence, there is the need to monitor driver's state and her/his driving, with a view to providing effective feedback. Our proposed demo is of HAMS, a windshield-mounted, smartphone-based system that uses the front camera to monitor the driver and back camera to monitor her/his driving behaviour. The objective of HAMS is to provide ADAS-like functionality with low-cost devices that can be retrofitted onto the large installed base of vehicles that lack specialized and expensive sensors such as LIDAR and RADAR. Our demo would show HAMS in action on an Android smartphone to monitor the state of the driver, specifically such as drowsiness, distraction and gaze, and vehicle ranging, lane detection running on pre-recorded videos from drives.

In this work, waste coal fly ash was utilized to synthesis different types of zeolites. Conventional alkali fusion step followed by hydrothermal treatment was used for zeolite synthesis. The synthesis conditions were optimized to obtain highly crystalline zeolite. The effect of acid treatment and calcination temperature on zeolite formation was investigated. Further, the effect of addition of sodium aluminate (controlling Si/Al ratio) on zeolitization was also studied. highly crystalline zeolite was obtained at fly ash/NaOH ratio of 1:1.5, fusion temperature of 550 °C, hydrothermal temperature of 90 °C and 8 h hydrothermal time. The zeolite obtained was characterized for its structural, morphological and compositional properties. It was found that high Si/Al ratio favors zeolite X and higher concentration of aluminum results in the formation of zeolite A. The average particle size of the synthesized zeolites was found to be about 2–5 μm. The maximum surface area of fly ash based zeolite X and A was found to be 727.2 and 24 m 2 g −1 respectively. Maximum biodiesel yield of 81.2% was obtained using synthesized catalyst. The calorific value of the synthesized biodiesel was 39.2 MJ kg −1 and was found competent with commercial biodiesel (38–42 MJ kg −1 ).