Evaluating the use of Drones in the area of Transportation/Construction

Drones are proving out as a valuable tool and growing quickly in the world of technological advances. The applications of these vehicles are spreading widely in the areas of remote sensing, real time monitoring, goods delivery, security, defense, surveillance, infrastructure inspection. Although, the intent behind creating this tool was remote sensing. Smart drones will be the next big innovation and modification, which would have much wider applications especially in the field of infrastructure where it can reduce risks and lower costs. Current direct evaluation techniques are tedious, and the information caught is frequently not led in a precise manner with the areas tested not being geographically correct and the resulting reports being delivered past the point of no return. These were the reasons, which have increased the demand and usage of unmanned vehicles. In this research paper, we present critical review of main advancements of Drones in the area of transportation and agriculture. We present all the research related to civil applications in those areas and challenges including traffic monitoring, Bridge condition assessment, Roadway asset detection and many other applications related to infrastructure inspection enhancement. The paper also contributes with a discussion on the opportunities, which are opened, and the challenges that need to be addressed. Findings from the case studies, it is reported that around 25% of the bridges in united states are deficient and need continuous monitoring for enhancements to prevent any hazard. Unmanned vehicles could be a great help in monitoring these bridges and other important components of transportation, which can efficiently minimize the cost as well as the time spent on inspection for each of this component, as manual inspection requires labor and time which would be subsequently reduced by incorporating the usage of drones in the area of transportation

Modes of Action of Different Classes of Herbicides

The mode of action of herbicides is important for understanding the management, classification, organization, and hierarchy of the herbicides. It also provides an insight into herbicide resistance, which continues to be a problem in sustainable agricultural management. The overuse of herbicides, just like other pesticides such as insecticides, has led to increased development of resistance among weeds, causing injury and destruction of useful plants in agriculture, land management, and other related industries. This chapter focuses on the main theme while providing in-depth analysis of the different modes of action of various classes of herbicides. The modes of action of herbicides are as variable as their chemical compositions as they focus on controlling susceptible plants through various biochemical means. Depending upon the specific mode of action at work, it may involve a plant enzyme or a biological system that the herbicide may interrupt, thus injuring or disrupting the regular plant growth and development and causing eventual plant death. Having an in-depth knowledge of the mode of action of herbicides is important in choosing a specific herbicide for a specific crop, understanding the injury symptoms, and devising an appropriate crop-management strategy

ILAJ BIL HIJAMAH (TERAPIJA PUŠTANJEM KRVI) U MEDICINSKOM SUSTAVU UNANI: OD ANEGDOTALNE PRAKSE DO TERAPIJE TEMELJENE NA DOKAZIMA

Background: Cupping (Hijamah) therapy is very well documented as a result of several thousand years of clinical experiences in Unani medicine. In this procedure, suction is created by various means either with or without bloodletting. Though this therapy is being widely practiced across the globe for treating many chronic and intractable ailments but many reports reveal its unscientific and improper practices which results in many complications. Therefore to develop standard operative procedures and to propose protocols of cupping therapy in various diseases is the need of hour. Materials and methods: A thorough literature review of relevant journals and textbooks was performed to gather the maximum available data on cupping therapy. Conclusion: This paper seeks to introduce the general concepts of cupping therapy in Unani medicine and other traditional systems of medicine, shortcomings and limitations of the currently published studies and suggest ways to improve these technical/methodological flaws. In addition, the authors have also attempted to provide the cupping related materials, hypotheses, observations which will provide the researchers the base for evaluating their usefulness in future clinical trials.Uvod: Terapija puštanjem krvi (hijamah) vrlo je dobro dokumentirana kao posljedica nekoliko stotina godina kliničkih iskustava medicine Unani. U tom je postupku sukcija ostvarena različitim sredstvima s ispuštanjem krvi ili bez njega. Iako se ova terapija primjenjuje širom svijeta za liječenje mnogih kroničnih i teško lječivih bolesti, mnoga izvješća otkrivaju neznanstvene i nepravilne prakse koje rezultiraju mnogim komplikacijama. Stoga je nužno čim prije razviti standardnu proceduru te predložiti protokole za terapiju puštanjem krvi kod različitih bolesti. Materijali i metode: Kako bi se prikupila maksimalna količina podataka o terapiji puštanjem krvi, učinjen je pregled relevantnih časopisa i udžbenika. Zaključak: Ovaj rad nastoji predstaviti osnovni koncept terapije puštanjem krvi u medicini Unani kao i u drugim tradicijskim medicinama, nedostatke i ograničenja objavljenih aktualnih studija te predložiti na koje načine poboljšati ove tehničke/metodološke nedostatke. Osim toga autori su također pokušali odrediti materijale koji se koriste pri puštanju krvi, hipoteze i opažanja koja će istraživačima omogućiti temelj za evaluaciju njihove korisnosti u budućim kliničkim ispitivanjima

Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning

Multi-agent settings in the real world often involve tasks with varying types and quantities of agents and non-agent entities; however, common patterns of behavior often emerge among these agents/entities. Our method aims to leverage these commonalities by asking the question: ``What is the expected utility of each agent when only considering a randomly selected sub-group of its observed entities?'' By posing this counterfactual question, we can recognize state-action trajectories within sub-groups of entities that we may have encountered in another task and use what we learned in that task to inform our prediction in the current one. We then reconstruct a prediction of the full returns as a combination of factors considering these disjoint groups of entities and train this ``randomly factorized" value function as an auxiliary objective for value-based multi-agent reinforcement learning. By doing so, our model can recognize and leverage similarities across tasks to improve learning efficiency in a multi-task setting. Our approach, Randomized Entity-wise Factorization for Imagined Learning (REFIL), outperforms all strong baselines by a significant margin in challenging multi-task StarCraft micromanagement settings.Comment: ICML 2021 Camera Read

The use of imagery in global health: an analysis of infectious disease documents and a framework to guide practice

We report an empirical analysis of the use of imagery by the key actors in global health who set policy and strategy, and we provide a comprehensive overview, particularly related to images used in reports on vaccination and antimicrobial resistance. The narrative currently depicted in imagery is one of power imbalances, depicting women and children from low-income and middle-income countries (LMICs) with less dignity, respect, and power than those from high-income countries. The absence of any evidence of consent for using intrusive and out-of-context images, particularly of children in LMICs, is concerning. The framework we have developed provides a platform for global health actors to redefine their intentions and recommission appropriate images that are relevant to the topic, respect the integrity of all individuals depicted, are accompanied by evidence of consent, and are equitable in representation. Adhering to these standards will help to avoid inherent biases that lead to insensitive content and misrepresentation, stigmatisation, and racial stereotyping

Molecular Alterations and Expression Dynamics in the Etiopathogenesis of Thyroid Cancer

Thyroid carcinoma is the most prevalent endocrine malignancy and accounts for 2% of all human cancers. In the past decade, knowledge of genetic alterations of thyroid cancer (TC) has rapidly expanded, which has provided new insights into thyroid cancer etiology and has offered novel diagnostic tools and prognostic markers that enable improved and personalized management of thyroid cancer patients. Alterations in key signaling effectors seem to be the hallmark of distinct forms of thyroid neoplasia. Mutations or rearrangements in genes that encode Mitogen activated protein kinase (MAPK) pathway effectors seem to be required for transformation. Mutations in BRAF were the most recently identified MAPK effector in thyroid cancer. BRAF V600E is the most common alteration in sporadic papillary carcinoma. Three RAS proto-oncogenes (NRAS, HRAS & KRAS) are implicated in human thyroid tumorigenesis. High incidence of thyroid cancer worldwide indicates the importance of studying genetic alterations that lead to its carcinogenesis. BRAF and RAS alterations represent a novel indicator of the progression and aggressiveness of thyroid carcinogenesis. The GSα-adenylyl cyclase-cyclic AMP (cAMP) cascade is effected in thyroid cancer. Promoter hypermethylation of multiple genes especially TSHR has been identified to play a role in thyroid cancers, in particular showing a close association with BRAF mutational status. So, the main aim of the study was to elucidate the involvement of BRAF and RAS gene mutations along with BRAF expression and thyroid-stimulating hormone receptor (TSHR) hypermethylation in North Indian patients and investigate their association with clinicopathological characteristics

Gas sensing system using an unmanned aerial vehicle

A prototype is designed for the analysis of CO2 concentration. In this paper, to evaluate its functionality, data sending tests are executed. A low cost E34-2G4H20D RF module installed in a UAV (unmanned aerial vehicle) is used for data transmission. CO2 concentration measurement were made at the “Universidad de la Costa” in Barranquilla - Colombia. For this, a device was built for monitor the concentration of CO2 using the Arduino UNO platform and the MQ135 gas sensor. Tests were carried out at different heights to analyze package loss and CO2 concentration levels. The results show the effectiveness of the RF module in all tests for data transmission. The concentration of CO2 is evaluated in three zones to determine the minimum and maximum levels in each of them

COVID-19 and liver injury: A systematic review and meta-analysis

Background and Aims: The prevalence and extent of liver damage in coronavirus disease 2019 (COVID-19) patients remain poorly understood, primarily due to small-sized epidemiological studies with varying definitions of “liver injury”. We conducted a meta-analysis to derive generalizable, well-powered estimates of liver injury prevalence in COVID-19 patients. We also aimed to assess whether liver injury prevalence is significantly greater than the baseline prevalence of chronic liver disease (CLD). Our secondary aim was to study whether the degree of liver injury was associated with the severity of COVID-19.Materials and Methods: Electronic databases (PubMed and Scopus) were systematically searched in June 2020 for studies reporting the prevalence of baseline CLD and current liver injury in hospitalized COVID-19 patients. Liver injury was defined as an elevation in transaminases \u3e3 times above the upper limit of normal. For the secondary analysis, all studies reporting mean liver enzyme levels in severe versus non-severe COVID-19 patients were included. A random-effects model was used for meta-analysis. Proportions were subjected to arcsine transformation and pooled to derive pooled proportions and corresponding 95% confidence intervals (CIs). Subgroup differences were tested for using the chi-square test and associated p-value. Means and their standard errors were pooled to derive weighted mean differences (WMDs) and corresponding 95% CIs.Results: Electronic search yielded a total of 521 articles. After removal of duplicates and reviewing the full-texts of potential studies, a total of 27 studies met the inclusion criteria. Among a cohort of 8,817 patients, the prevalence of current liver injury was 15.7% (9.5%-23.0%), and this was significantly higher than the proportion of patients with a history of CLD (4.9% [2.2%-8.6%]; p \u3c 0.001). A total of 2,900 patients in our population had severe COVID-19, and 7,184 patients had non-severe COVID-19. Serum ALT (WMD: 7.19 [4.90, 9.48]; p \u3c 0.001; I2 = 69%), AST (WMD: 9.02 [6.89, 11.15]; p \u3c 0.001; I2 = 73%) and bilirubin levels (WMD: 1.78 [0.86, 2.70]; p \u3c 0.001; I2 = 82%) were significantly higher in patients with severe COVID-19 when compared to patients with non-severe disease. Albumin levels were significantly lower in patients with severe COVID-19 (WMD: -4.16 [-5.97, -2.35]; p \u3c 0.001; I2 = 95%).Conclusions: Patients with COVID-19 have a higher than expected prevalence of liver injury, and the extent of the injury is associated with the severity of the disease. Further studies are required to assess whether hepatic damage is caused by the virus, medications, or both

Prevalence of ultrasonography proved polycystic ovaries in North Indian women with type 2 diabetes mellitus

BACKGROUND: Polycystic ovaries (PCO) and their clinical expression (the polycystic ovary syndrome [PCOS]) as well as type 2 diabetes mellitus (T2DM) are common medical conditions linked through insulin resistance. We studied the prevalence of PCO and PCOS in women with diet and/or oral hypoglycemic treated T2DM and non-diabetic control women. DESIGN: Prospective study. METHODS: One hundred and five reproductive age group women with diet and /or oral hypoglycemic treated T2DM were the subjects of the study. Sixty age-matched non-diabetic women served as controls. Transabdominal ultrasonographic assessment of the ovaries was used to diagnose PCO. Clinical, biochemical and hormonal parameters were also noted. RESULTS: Ultrasonographic prevalence of PCO was higher in women with diabetes than in non-diabetic subjects (61.0% vs. 36.7%, P < 0.003) whereas that of PCOS was 37.1% in diabetic subjects and 25% in non-diabetic controls (P > 0.1). Diabetic women with PCO had diabetes of significantly longer duration than those without PCO (4.19±2.0 versus 2.9±1.6 yrs; p < 0.05). Among both diabetic and non-diabetic women, those with PCO had significantly higher plasma LH, LH/FSH ratio, total testosterone and androstenedione levels. CONCLUSION: This study demonstrates a higher prevalence of PCO in women with T2DM as compared to non-diabetic subjects