Monitoring Authority Research Articles

Monitoring strategies of enterprise’s emission reduction with asymmetric information

More recently, the Chinese Government had been making appreciable efforts to stimulate and encourage entrepreneurial emission reductions. These efforts could be boosted by availability of dual asymmetric information about the adopted technology for efficient reduction and enterprises’ investment strategies, possibly leading to adverse selection and moral hazard. This paper incorporates Stackelberg game model and incentive mechanism theory to find a feasible solution to dual asymmetric information problem. Hence firstly, through application of linear function of the total emission, an emission reduction contract would be formulated for regulating incentive payments from government to supervisory authorities followed by derivation of a two stage principal-agent monitoring model based on the enterprise’s private information and action respectively. Some findings have been obtained through analysis of the monitoring models along with their comparison with the results of no monitoring scenario which confirm the effectiveness of hiring the supervisory authorities for monitoring of enterprises’ emission reduction, which, ultimately, would facilitate increasing payoff and efficient emission reduction. In this perspective, the action-based monitoring mechanism depicts overall government dominance. Several, managerial insights have also been provided for various scenarios and propositions and all the findings are illustrated numerically. It could prove highly beneficial and significant to the government in encouraging entrepreneurial emission reductions.

Establishing consensus on key public health indicators for the monitoring and evaluating childhood obesity interventions: a Delphi panel study

BackgroundChildhood obesity is influenced by myriad individual, societal and environmental factors that are not typically reflected in current interventions. Socio-ecological conditions evolve and require ongoing monitoring in terms of assessing their influence on child health. The aim of this study was to identify and prioritise indicators deemed relevant by public health authorities for monitoring and evaluating childhood obesity interventions.MethodA three-round Delphi Panel composed of experts from regions across Europe, with a remit in childhood obesity intervention, were asked to identify indicators that were a priority in their efforts to address childhood obesity in their respective jurisdictions. In Round 1, 16 panellists answered a series of open-ended questions to identify the most relevant indicators concerning the evaluation and subsequent monitoring of interventions addressing childhood obesity, focusing on three main domains: built environments, dietary environments, and health inequalities. In Rounds 2 and 3, panellists rated the importance of each of the identified indicators within these domains, and the responses were then analysed quantitatively.ResultsTwenty-seven expert panellists were invited to participate in the study. Of these, 16/27 completed round 1 (5 9% response rate), 14/16 completed round 2 (87.5% response rate), and 8/14 completed the third and final round (57% response rate). Consensus (defined as > 70% agreement) was reached on a total of 45 of the 87 indicators (49%) across three primary domains (built and dietary environments and health inequalities), with 100% consensus reached for 5 of these indicators (6%).ConclusionForty-five potential indicators were identified, pertaining primarily to the dietary environment, built environment and health inequalities. These results have important implications more widely for evaluating interventions aimed at childhood obesity reduction and prevention.

Proposed formulation of surface water quality and modelling using gene expression, machine learning, and regression techniques.

The rising water pollution from anthropogenic factors motivates further research in developing water quality predicting models. The available models have certain limitations due to limited timespan data and the incapability to provide empirical expressions. This study is devoted to model and derive empirical equations for surface water quality of upper Indus river basin using a 30-year dataset with machine learning techniques and then to determine the most reliable model capable to accurately predict river water quality. Total dissolve solids (TDS) and electrical conductivity (EC) were used as dependent variables, whereas eight parameters were used as independent variables with 70 and 30% data for model training and testing, respectively. Various evaluation criteria, i.e., Nash-Sutcliffe efficiency (NSE), root mean square error (RMSE), coefficient of determination (R2), and mean absolute error (MAE), were used to assess the performance of models. The data is also validated with the help of k-fold cross-validation using R2 and RMSE. The results indicated a strong correlation with NSE and R2 both above 0.85 for all the developed models. Gene expression programming (GEP) outperformed both artificial neural network (ANN) and linear and non-linear regression models for TDS and EC. The sensitivity and parametric analyses revealed that bicarbonate is the most sensitive parameter influencing both TDS and EC models. Two equations were derived and formulated to represent the novel results of GEP model to help authorities in the effective monitoring of river water quality.

The Impact of the Eurozone Crisis and Its Regulation on the Decrease of European Bank Mergers

The paper shall begin by covering the main incentives of banks to engage in Mergers and Acquisitions. It will shortly present the current European Bank Union situation, with its goals and future agenda. Following that, the legal framework of the supervision of Bank M&As will be covered. Having analyzed the incentives of banks to merge, the past five years of the European Banking Union history and the current trends of the bank mergers, two relevant questions arise. Firstly, it is not clear which shall be considered the appropriate monitoring authority of a European Bank Merger from an efficiency point of view. Secondly, it is crucial to understand the underlying reasons of the failure of the European bank mergers and their potential relation to the regulatory strategies of the monitoring authorities. In order to approach the first research question, it is important to compare the duties, tasks, competencies and toolboxes of both the European Commission and the European Central Bank when it comes to assessing a domestic or cross-border bank merger. For the second question, we shall present an attempt of two banking institutions in Greece to merge and the reasons why the agreement fail through in the end. Other stories of failed or non-executed European bank mergers will be shortly mentioned. As a consequence, we will attempt to infer the general reasons why European bank mergers fail by remaining few and apprehend if this phenomenon it to be attributed to the inefficiency of the Merger Monitoring Authorities.

ANALYTICAL TOOLS FOR CONTROL AND MONITORING OF PUBLIC PROCUREMENT

The article examines analytical tools for control and monitoring of public procurement. It was determined that after the launch of the ProZorro system and the publication of a significant amount of open data, many tools and services have appeared in Ukraine to help analyze and monitor public procurement and its participants. The information on analytical tools for controlling and monitoring public procurement is updated at https://dozorro.org/tools. The role of monitoring in the field of public procurement is described. The reasons for the decision to start monitoring procurement are highlighted. It is determined that the monitoring portal DoZorro is a platform where each participant of the system can give feedback to a state customer or supplier, discuss and evaluate the terms of a particular procurement, analyze the procurement of a particular government agency or institution, prepare and submit an official appeal to the regulatory authorities and much more. The opportunities for any procurement participants provided by the DoZorro portal are described. The DoZorro monitoring portal includes: analytics modules, tools for customers, tools for research of cash flow, tools for research of participants, tools of judicial practice, AMCU practice, and practice of monitoring authorities. Each tool has its own characteristics and capabilities. If you choose the right service, you can find the information you need, or get the desired result much faster and better. The capabilities of the public analytics module are given and detailed in detail. It has a large list of criteria by which you can select purchases, plans, suppliers, customers and consists of specific applications. Its structure is represented by the following appendices: planning stages and incorrect plan points, governing body panel, medical procurement, ESCO procurement stage. The capabilities of the professional analytics module, the medical analytics module, risk indicators DoZorro, procurement COVID-19 are also described. The procedure for using indicators to form a queue of risky procurement procedures is presented. It is determined that the researched tools allow to analyze purchases in an electronic system and allow to display in real time information about announced procurements, information about customers, participants, complaints, contracts and other information from the central database.

Specific Features of the Mechanism of Administrative and Legal provision for the Implementation of the State’s Law Enforcement Function in the Field of Taxation

The essence of administrative and legal provision for the implementation of the state’s law enforcement function has been studied. The elements of the mechanism of administrative and legal provision for the implementation of the state’s law enforcement function in the field of taxation have been distinguished. It has been offered to include the institutional component (subjects of provision), normative component (system of administrative and legal norms establishing the principles and rules of the state’s law enforcement function in the field of taxation), principles of implementing the state’s law enforcement function in this area, forms and methods of implementation of the state’s law enforcement function and the resource component (personnel, information, material, technical provision, etc.) into the structure of this mechanism.
 The author has defined the following key principles, which should be the basis for the activity of the subjects of the considered relations: legitimacy, presumption of legality of decisions of taxpayers in case of ambiguity of the interpretation of regulatory acts, inevitability of punishment for financial offenses, collegiality of the development of important decisions, efficiency, independence impartiality and absence of corruption.
 The author has determined the peculiarities of ensuring the effective functioning of administrative and legal mechanism of the realization of the state’s law enforcement function in the conditions of creation of the specially authorized agency of financial investigations. It is especially important in the context of European integration to establish the Bureau of Financial Investigations in Ukraine – a single law enforcement agency, whose task will be to identify systemic offenses in the field of taxation, their elimination and prevention.
 It has been concluded that the reform of the investigative agencies of financial violations will establish a partnership between taxpayers and monitoring authorities, as well as will increase the effectiveness of law enforcement agencies in combating financial crimes.

An automated approach for street trees detection using mobile laser scanner data

The trees on the street are the primary element of urban vegetation and essential for environmental conservation. Environmental quality improvement and offering amenities for inhabitants are the fundamental roles of street trees. The visual magnificence of urban landscape is also reliant on them. Accurate, conversant inventory information and monitoring conditions are necessary for urban horticultural planning, maintenance, for land use and land cover management. In this propound research work, an automated method for detecting the street trees utilizing Mobile Laser Scanner (MLS) data has been proposed. The proposed method consists of four phases. The first phase divides the MLS dataset into regular two-dimensional square grids. Only eligible grids are further sliced into vertical layers in the second phase. Region growing is been performed to detect the street trees in the third phase of methodology. Elimination of redundant tree points has been performed in the last phase of proposed methodology. This approach has been tested on a MLS dataset. The result shows the precision, recall and F Score of the method for street trees detection as 97.64%, 96.77% and 0.9729 respectively. Significance of Present Study Large number of trees are evacuated during road broadening and maintenance. Therefore, creation of up-to-date street trees inventory is required for proper monitoring and planning of their growth rate, place and proximity in order to save them. Mobile laser scanning facilitates the mapping of road side objects at high speed. However, till now lots of manual work has been presented in processing of Lidar dataset and the bottleneck processing has shifted from the data collection phase to data processing phase. Often number of days are disbursed on processing of data which are captured in couple of hours due to the massive data size. In such scenario to analyze a particular kind of geo-spatial feature preferably would be better to extract feature from the huge data size. Therefore, automated and time efficient extraction of geospatial feature is very indispensable. In the present study an automated method for the detection of street trees has been proposed. Manual processing of Lidar dataset for the identification of trees has been nearly eliminated along with less time complexity and good accuracy. The major implication of this research is that it can automatically, time efficiently and accurately detect the street trees from entire big and bulky captured Lidar point cloud dataset. The urban environmental conservation, monitoring, development and other related authorities shall be considerably benefitted from this research.

Rapid Urbanization and Infrastructure Pressure: Comparing the Sustainability Transition Potential of Water and Energy Regimes in Namibia

This article presents a comparative study of the urban water and energy sectors in the coastal city of Walvis Bay in Namibia, where the rapid urbanization places pressure on public infrastructure development. A multidata approach is used to study the ability of the energy and water sectors to adapt to this pressure. Theoretically, the analysis is guided by the systems transition framework. A comparison between the two regimes is made on four dimensions: (1) regime dynamics, (2) level of complexity, (3) level of coordination, and (4) multiplicity of perceptions. The energy regime was found to be more capable of transitioning towards more sustainable practices due to better outcomes in multi-stakeholder engagement, a higher level of transparency, and differing landscape and niche development. The energy regime is also more open for new service providers. The water regime, on the other hand, suffers from overlapping roles and practices as well as non-existent monitoring authorities, which together negatively affect the regime’s transition potential. Both regimes suffer from lack of funding and weak institutional capacities. In conclusion, the transition potential of the studied regimes is found to increase when cross-sectoral governance is strengthened.

Real-time assessment of COVID-19 prevalence among multiple sclerosis patients: a multicenter European study.

We assessed the prevalence and impact of COVID-19 among multiple sclerosis (MS) patients across Europe by leveraging participant data collected as part of the ongoing EU IMI2 RADAR-CNS major programme aimed at finding new ways of monitoring neurological disorders using wearable devices and smartphone technology. In the present study, 399 patients of RADAR-MS have been included (mean age 43.9 years, 60.7% females) with 87/399 patients (21.8%) reporting major symptoms suggestive of COVID-19. A trend for an increased risk of COVID-19 symptoms under alemtuzumab and cladribine treatments in comparison to injectables was observed. Remote monitoring technologies may support health authorities in monitoring and containing the ongoing pandemic.Electronic supplementary materialThe online version of this article (10.1007/s10072-020-04519-x) contains supplementary material, which is available to authorized users.

Serological Survey of Humans Exposed to Burkholderia mallei-Infected Equids: A Public Health Approach.

Glanders is a fatal bacterial infection of equids caused by Burkholderia mallei. The infection can be transmitted to humans through prolonged direct contact with glanderous equids. Recently, reemergence of equine glanders has been reported in many countries. To investigate zoonotic transmission of B mallei infection, sera were collected from 538 humans including equine handlers and veterinary professionals exposed to glanderous equids. Samples were tested by ELISA (enzyme-linked immunosorbent assay) and complement fixation test and found negative for B mallei-specific antibodies. Even though there was no incidence of human glanders during this survey period, occupational exposure will continue to remain a serious concern and a key risk factor. Therefore, we emphasize the need for intersectoral collaboration and coordination among veterinary, human, and public health authorities for continuous surveillance and monitoring of human glanders under one health concept.

Estimation of Competitiveness of Single-Industry Towns of the Samara Region

In order to prevent negative socio-economic trends, to predict the social consequences of decisions on the implementation of state policy in the development of single-industry territories, public authorities monitor the socio-economic situation in single-industry towns based on an assessment of a number of statistical indicators. Such a differentiated assessment of statistical parameters does not allow a comprehensive assessment of the level of development and competitiveness of a single-industry town by territory, which is of particular relevance in modern conditions of glocalization. Of particular scientific and practical interest is a comparative analysis of the level of development of single-industry towns on the basis of an integral indicator that takes into account aspects of various spheres of life of the population and allows an objective assessment of the competitive positions of single-industry territories, which is currently not used by state authorities for monitoring. The purpose of the work is to assess and justify the conditions and development trends of single-industry towns of the Samara region on the basis of calculating the integral indicator of competitiveness, taking into account the level of development of the economy, finance, employment, social security and demography, as well as the mono-profile level of territories. In this study, we used the methods of system analysis, the method of comparisons and analogies, the method of generalization, the methods of dialectic and statistical analysis, the method of expert estimates, the method of retrospective estimates and structural-dynamic analysis. The paper provides an overview of the single-industry towns of the regions of the Volga Federal District; the results of testing the methodology for assessing the competitiveness of single-industry towns of the Samara region on the basis of an integral indicator are presented and trends in its change in the period 2013–2017 are identified. The study involved four single-industry towns of the Samara region: Oktyabrsk, Pohvistnevo, Tolyatti, Chapaevsk. The calculations showed that For five years Oktyabrsk was an outsider in four of the six areas under study (economics, labor, social services, demography), which led to the lowest competitiveness index and allowed us to identify the competitiveness of a single-industry town as “below average”. In relatively equal socio-economic conditions, there were Pohvistnevo, Togliatti and Chapaevsk, the level of competitiveness of which is “above average”.

Air-Pollution Control in an Emergent Market: Does It Work? Evidence from Romania.

Economic development in a national and international context must be based on a sustainability strategy established on the systemic interaction between the economic, sociocultural, and ecological environments. Today, the world is confronted by many challenges related to climate change and natural-resource flows, including waste streams resulting from economic activity. The need for national and European environmental standards and the work of an environment monitoring authority to reduce air pollution are highlighted by economic and industrial activities. Thus, our research focused on determining if emissions of sulfur dioxide (SO2), nitrogen (NO2), and particulate matter 10 (PM10) are influenced by planned and unplanned inspections made by competent authorities from Romania. We built a regression model that estimates the influence of economic measures imposed by the authorities on reducing industrial air pollution. Preliminary results showed that the number of inspections negatively influences air pollution, indicating that national and local authorities in Romania are striving to maintain air quality and are conducting more inspections when air pollution is high.

Marine monitoring in Europe: is it adequate to address environmental threats and pressures?

Abstract. We provide a review of the environmental threats and gaps in monitoring programmes in European coastal waters based on previous studies, an online questionnaire, and an in-depth assessment of observation scales. Our findings underpin the JERICO-NEXT1 monitoring strategy for the development and integration of coastal observatories in Europe and support JERICO-RI2 in providing high-value physical, chemical, and biological datasets for addressing key challenges at a European level. This study highlights the need for improved monitoring of environmental threats in European coastal environments. Participants in the online questionnaire provided new insights into gaps between environmental threats and monitoring of impacts. In total, 36 national representatives, scientists, and monitoring authorities from 12 European countries (Finland, France, Germany, Greece, Ireland, Italy, Malta, Norway, Poland, Spain, Sweden, UK) completed the questionnaire, and 38 monitoring programmes were reported. The main policy drivers of monitoring were identified as the EU Water Framework Directive (WFD), the Marine Strategy Framework Directive (MSFD), Regional Seas Conventions (e.g. OSPAR), and local drivers. Although policy drivers change over time, their overall purposes remain similar. The most commonly identified threats to the marine environment were marine litter, shipping, contaminants, organic enrichment, and fishing. Regime change was identified as a pressure by 67 % of respondents. The main impacts of these pressures or threats were identified by the majority of respondents (> 70 %) to be habitat loss or destruction, underwater noise, and contamination, with 60 % identifying undesirable disturbance (e.g. oxygen depletion), changes in sediment and/or substrate composition, changes in community composition, harmful microorganisms, and invasive species as impacts. Most respondents considered current monitoring of threats to be partially adequate or not adequate. The majority of responses were related to the spatial and/or temporal scales at which monitoring takes place and inadequate monitoring of particular parameters. Suggestions for improved monitoring programmes included improved design, increased monitoring effort, and better linkages with research and new technologies. Improved monitoring programmes should be fit for purpose, underpin longer-term scientific objectives which cut across policy and other drivers, and consider cumulative effects of multiple pressures. JERICO-RI aims to fill some of the observation gaps in monitoring programmes through the development of new technologies. The science strategy for JERICO-RI will pave the way to a better integration of physical, chemical, and biological observations into an ecological process perspective.

Description of the resources for rheumatology training and speciality certification and recertification requirements in Argentina.

The objective of the study was to analyse resources for rheumatology training, and speciality certification and recertification requirements in Argentina. Information was gathered regarding vacancies, entry requirements, duration and validity of the specialist degree in every residency and postgraduate course in adult rheumatology. The following aspects were analysed: monitoring authority, certification and recertification requirements, and mandatory recertification. Six out of 36 universities offer rheumatology postgraduate courses. Out of 65 vacancies, 36 (55%) are implemented by a National Public University in the Autonomous City of Buenos Aires (CABA), and 46 (70%) are in CABA. There are 32 vacancies for rheumatology residencies in 7 out of 24 districts, 16 of them (50%) in CABA. There are 2- to 3-year postgraduate courses; entry requirements range from 1-year experience in internal medicine to either complete residency or specialist degree in internal medicine. Training formats vary from full-time university residency to either university-based courses with part-time dedication in a rheumatology service without residency or non-university courses with part-time dedication. Not every specialist degree is automatically homologated in every jurisdiction. Provincial governments and colleges of physicians are the certification and recertification authorities; medical school was included in one district. Recertification is mandatory in only 8 districts; 40-50% of the process is achieved by merely practising as a rheumatologist. Most of the training resources are concentrated in CABA. Although there are various options, not all of them are automatically homologated. Recertification is not mandatory nationwide, and a significant part of the process involves practising as a rheumatologist.

A disaster waiting to happen

In May 2020, around 20,000 tonnes of diesel oil leaked into the environment. The damage caused to the sensitive Arctic ecosystems has been enormous. The accident sheds light on a general problem: climate protection regulations have many loopholes, and the state-run climate monitoring authorities have little power. Businesses are hardly monitored at all, and the corrupt system means that they are able to avoid meeting environmental standards. The penalties that have to be paid after accidents occur are lower than the cost of repairing and replacing dilapidated installations. The situation is becoming worse, since climate change is accelerating the rate at which permafrost is melting. The subsoil on which industrial plants are built is becoming increasingly unstable. If nothing is done, the number of leakages and accidents will increase.

A Comprehensive Assessment of Auto-Enrollment System as a Second Pillar of Pension System: The Case of Turkey

The aim of this study is to provide an overview of Auto-Enrollment System (AES) in Turkey; and also to examine impact of Covid-19 upon the development of number of participants and contribution amounts. AES is considered as the second-pillar of pension system. In this study, data is retrieved from official website of Turkish Pension Monitoring Authority (EGM) and Turkish Electronic Fund Trading Platform (TEFAS). The method utilized in this paper is SWOT analysis. This is the first study in Turkey to explain daily pension fund operations together with the impact of pandemic on the AES branch of insurance business. This study argues that auto-enrollment system in Turkey has high growth potential and this system is expected to reach a statistically significant asset level in terms of total asset under management in the medium and long term. This study also indicates that as of the end of September 2020, AES in Turkey was not significantly affected by the coronavirus pandemic (Covid-19) in regard to number of participants and contribution amount in local currency-.

EUCISE-OWL: An ontology-based representation of the Common Information Sharing Environment (CISE) for the maritime domain

The timely and efficient cooperation across sectors and borders during maritime crises is paramount for the safety of human lives. Maritime monitoring authorities are now realizing the grave importance of cross-sector and cross-border information sharing. However, this cooperation is compromised by the diversity of existing systems and the vast volumes of heterogeneous data generated and exchanged during maritime operations. In order to address these challenges, the EU has been driving several initiatives, including several EU-funded projects, for facilitating information exchange across sectors and borders. A key outcome from these efforts is the Common Information Sharing Environment (CISE), which constitutes a collaborative initiative for promoting automated information sharing between maritime monitoring authorities. However, the adoption of CISE is substantially limited by its existing serialization as an XML Schema only, which facilitates information sharing and exchange to some extent, but fails to deliver the fundamental additional benefits provided by ontologies, like the richer semantics, enhanced semantic interoperability and semantic reasoning capabilities. Thus, this paper presents EUCISE-OWL, an ontology representation of the CISE data model that capitalizes on the benefits provided by ontologies and aims to encourage the adoption of CISE. EUCISE-OWL is an outcome from close collaboration in an EU-funded project with domain experts with extensive experience in deploying CISE in practice. The paper also presents a representative example for handling information exchange during a maritime crisis as well as performance results for specific querying tasks that can demonstrate and evaluate the use of the proposed ontology in practice.

A Reliable Research to Preserve Security in Infrastructure less Networks: MANET

Mobile ad hoc networks (MANETs) are a unique wireless network which does not relay on any defined infrastructure. Compared to wired networks, MANETs can be attacked easily due to absentness of centralized monitoring authority. The nodes in these networks are dynamic and they set the path to transfer data. Due to this nature of MANET there is a need to incorporate routing protocol with security mechanism. The available cryptographic algorithms supports authentication to escape from passive and active attacks. Here this problem is addressed using Intrusion detection mechanism (IDM) and Position-based Opportunistic Routing protocol (PORP) in a reliable and timely manner.

Concentrations, pollution indices and health risk assessment of heavy metals in road dust from two urbanized cities of Pakistan: Comparing two sampling methods for heavy metals concentration

Lahore and Faisalabad are two highly populated metropolitans of Pakistan. The increasing number of vehicles and urbanization resulted in the contamination of urban road dust with heavy metals, which can expose residents to health hazards. The aim of this research was to determine the road dust heavy metal (Cu, Ni, Cd, Pb, and Zn) concentrations, their distribution, comparison, and their potential health risk assessment for local people. Herein, two sampling methods, namely deposit gauge method (DGM) and sweeping tools method (STM), were used to collect road dust samples in eight similar major road intersections. Dust collected by DGM (gravitational pull of air dust) showed higher heavy metals concentration than STM in both cities, which might be associated to the smaller dust particles collected in the DGM. Among sites, concentrations of heavy metals were the highest in dust obtained from the General Bus Stand in both cities. Dominant metals were Zn and Pb with an average concentration of 95.5 and 56.8 mg kg−1, respectively while Cd was the lowest in Lahore. Similarly, the concentration of Pb and Zn were also high in Faisalabad with an average of 90.4 and 49.5 mg kg−1 and Cd was the lowest. Overall, Lahore showed higher pollution levels than Faisalabad. The risk assessment results of the DGM indicated that there were potential carcinogenic health risks associated with Cd, as his values were close or exceeded the permissible limit of 1 × 10−4. Non-carcinogenic risk assessment results were lower than value 1 for both cities which means there were no non-carcinogenic hazards for the residents. Higher Enrichment ratio (ER) and geo accumulation index (Igeo) showed increasing heavy metal pollution in both cities is a serious concern. Therefore this research provides a vital base and help to authorities for pollution control strategies, remediation, and regular monitoring in order to improve eco-sustainable cities and health of urbanites.

Laboratory S et up P rocess and K ey F actors I nvolved to Set Bench M arking for University

Laboratory set-up plays a significant role in the college in light of the fact that the greater part of the mishaps occurred because of carelessness of faculty defensive gear (PPE), poor wellbeing standards and absence of legitimate direction to understudies about utilization of machines and synthetic concoctions so there are many factors which are to be considered like health and safety for users, maintain OSHA standards[1-5], set bench marking among university, cost cutting, maximum utilization of lab’s area, power saving etc. In this paper we have done complete study on lab infrastructure and also implemented in our university. As Dubai is very strict on health and safety so one more important thing is that we have followed all compliances of Dubai monitoring authorities like Dubai municipality, education department, police department and health department.