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Diabetes is a major metabolic disorder which can affect entire body system adversely. Undiagnosed diabetes can increase the risk of cardiac stroke, diabetic nephropathy and other disorders. All over the world millions of people are affected by this disease. Early detection of diabetes is very important to maintain a healthy life. This disease is a reason of global concern as the cases of diabetes are rising rapidly. Machine learning (ML) is a computational method for automatic learning from experience and improves the performance to make more accurate predictions. In the current research we have utilized machine learning technique in Pima Indian diabetes dataset to develop trends and detect patterns with risk factors using R data manipulation tool. To classify the patients into diabetic and non-diabetic we have developed and analyzed five different predictive models using R data manipulation tool. For this purpose we used supervised machine learning algorithms namely linear kernel support vector machine (SVM-linear), radial basis function (RBF) kernel support vector machine, k-nearest neighbour (k-NN), artificial neural network (ANN) and multifactor dimensionality reduction (MDR).

Measuring patient satisfaction plays an increasingly important role in the growing push toward healthcare provider accountability. This study seeks to evaluate G.B. Pant Hospital (a North Indian tertiary care centre) patient satisfaction with clinical laboratory services.

A total of 100 out‐ and in‐patients were randomly selected and interviewed about microbiological services using a standard format, a method which can be easily used to compare patient satisfaction with laboratory services elsewhere.

Patients represented all age groups: females and males were balanced. Few were from poor socio‐economic backgrounds. Patients do not have problems getting tests done, but the laboratory's inconvenient location caused dissatisfaction. Patients do not have problems communicating with staff, but medical terms are not understood by patients. Hospital cleanliness needs improving, especially toilets, which causes the most patient dissatisfaction. Hospital staff were deemed highly competent and judged to give excellent technical help to patients. The questionnaire's financial subscale shows 100 per cent satisfaction because all tests in the microbiology department are free. The overall satisfaction with services stood at 83 per cent. Satisfaction scores for G.B. Pant Hospital appear to be satisfactory.

This study does not compare patient satisfaction in two or more hospitals and findings may not be generalisable.

Patient satisfaction surveys are the best way to identify deficiencies and improve hospital services. Repeating studies at six monthly intervals is a useful managerial intervention aimed at delivering and maintaining quality healthcare.

This laboratory satisfaction survey is the first of its kind for government hospitals in India. The survey revealed a positive feedback and helped to identify the areas of concern along with estimating the patient satisfaction scores. This is the best way to identify the areas of deficiencies and improving the services provided by the hospital. The authors feel that repeating such studies at a regular interval of six months would be a useful guide for the managerial interventions.

The purpose of this study is to collaborate with environmental engineering and management making an effort to provide evidence for the irresponsible behavior of small business set up in north India with special reference to Aligarh City. Corporates have huge accountability for sustainable development, and they cannot overlook the major responsibilities which are lying on their shoulders. CSR is related to the concept of “doing good” but, beyond “doing good” businesses have the responsibility for “avoiding bad” to avoid corporate social irresponsibility (CSI), such as damaging the environment by polluting land, water and air, cheating customers, violating human rights, or doing any unethical practices.

In this study, random groundwater samples were collected from “Aligarh Nagar Nigam” installed hand pumps from industrial influence areas of Aligarh during the month of October and November 2017. These samples were collected nearby small-scale metal plating industries plants. The samples analyzed by the Atomic Absorption Spectrometer (AAS) Perkin Elmer PinAAcle 900 F, for Fe, Mn, Pb, Zn, Cu and Cr (Jahromi et al., 2007; Chen and Teo, 2001; Bidari et al., 2007; Land and Hoops, 1973; de Oliveira et al., 2016; Akoto et al., 2016). In addition, some other parameters also taken in this study and the results obtained are compared with the World Health Organization (WHO) and Bureau of Indian Standard (BIS).

These results of the study revealed that the penetration of heavy metals like Cr, Pb, Cu, Zn, Fe and Mn into the soil is found much higher than the permissible limit stated by the government. The concentrations of metals in groundwater found to be within limits, but some metals are exceeding the standard limits in few samples. Concentrations of these heavy metals Cr>Cu>Pb>Fe>Mn are exceeding standard limits, Zn found within permissible limits as per WHO and BIS standard. This result proves to be a means to an end for an irresponsible behavior toward the society and environment which leads to serious health and environmental hazards.

The results are beneficial for data generation on various quality parameters of groundwater. The results of this study help in proper decision-making by concerned authorities to prevent, reduce toxic levels and begin to take steps for making water fit for drinking and other purposes. The research is limited in Aligarh City and other cities are like Kanpur, Noida and Ghaziabad are also tested by taking samples of water, as these cities are extensively captured by SME’s and large scale industries.

The results of this study have several implications for both governmental and non-governmental practice and policy development. As society expects positive attitudes of the businesses toward CSR activities and concern about the environment, businesses, institutions and governments should pay more attention to promote the initiative of environment safety to intensify their public concern. The small business unit must know about the serious health hazards of discharging the waste water in the open and therefore regular checking of heavy metal contamination in the groundwater in these areas is needed and use of contaminated water must be prevented to lessen the health risk caused by using the metal contaminated groundwater. The small-scale industries should follow the guidelines for proper disposal of wastewater discharge. The water treatment technology should involve and take possible steps to remove heavy metals contamination.

This study provides real data to municipality and other government offices which can be used as a benchmark to plan strict policy to prohibit the open discharge of wastewater by industries.

There has been limited research that has explored the connection between digital supply chain (DSC) and SC innovation and SC dynamic capabilities. This paper aims to examine the mediating effect of SC innovation on the relationship between DSC and SC dynamic capabilities.

The research model and hypotheses were tested, employing (Statistical Package of Social Sciences) SPSS 25.0 and (Analysis of Moment Structures) AMOS 24.0 on data drawn from the Chinese manufacturing enterprises.

The study reveals that DSC has a significant positive effect on SC innovation and SC dynamic capabilities. SC innovation also has a significant positive effect on SC dynamic capabilities. Besides, the authors' research illustrates that SC innovation partially mediates the relationship between DSC and SC dynamic capabilities.

Since the results are derived from the data collected from China, it may not, therefore, be generalized to other settings. Moreover, future research could consider other contextual variables such as “environmental uncertainty” and “Government's Reward-Penalty Mechanism,” which may influence SC dynamic capabilities.

The study provides practical insights for senior executives and managers in the manufacturing industry. Managers should emphasize the investment of advanced digital technologies and tools (DTTs) and improvement of SC visibility and collaboration. In the digital age, companies should pay attention to the introduction of advanced technologies, tools and processes and focus on cultivating an innovative spirit to promote SC dynamic capabilities, thereby enhancing competitive advantages.

The paper illustrates that DSC is of great significance to improving SC dynamic capabilities. This study reveals compelling insights for firms to enhance SC innovation and dynamic capabilities by using DSC as an enabler.