Sustainability in Industry 4.0

Industry 4.0 is considered the fourth industrial revolution. It is becoming a cutting-edge research topic among Academicians, industrialists, politicians and scientists. Researchers are focussing on the relationship between sustainability and industry 4.0 nowadays. The first part of this chapter will discuss how industry 4.0 can achieve sustainable development. The next part of this chapter concerns how green Labour markets can be digitised in industry 4.0. The smart technology of industry 4.0 helps in optimum utilisation of resources and reduction of waste. The social implication of industry 4.0 includes Employment generation and skill development. The main sustainability drivers of industry 4.0 are economic, environmental and social benefits. Transformation of industry 4.0 aimed towards achieving sustainable development, which is the need of the hour currently due to scarcity of resources. However, this transformation of industry 4.0 is a complicated and gradual process

Phase diagram of the system Ca-Ti-O at 1200 K

Phase relations in the system Ca-Ti-O have been established by equilibration of several samples at 1200 K for prolonged periods and identification of phases in quenched samples by optical and scanning electron microscopy, XRD and EDS. Samples representing 20 compositions in the ternary system were analyzed. There was negligible solid solubility of Ca in the phases along the binary Ti-O, and of Ti in CaO. Four ternary oxides were identified: CaTiO3, Ca4Ti3O10 and Ca3Ti2O7 containing tetravalent titanium, and CaTi2O4 containing trivalent titanium. Tie-lines link calcium titanite (CaTi2O4) with the three calcium titanates (CaTiO3, Ca4Ti3O10 and Ca3Ti2O7), CaO, oxygen excess TiO1+δ and stoichiometric TiO. Tie-lines connect CaTiO3 with TiO2−x , Magneli phases Ti n O2n−1 (28 ≥ n ≥ 4), Ti3O5, Ti2O3 and TiO1+δ . CaO was found to coexist with TiO, and Ti-O solid solutions α and β. The phase diagram is useful for understanding the mechanisms and kinetics of direct calciothermic reduction of TiO2 to metal and electrochemical reduction of TiO2 using graphite anode and molten CaCl2 electrolyte

Comparative study between effectiveness of low molecular weight heparin injection and unfractionated heparin in terms of morbidity and outcome in COVID-19 cases

Background: The novel coronavirus 2019 presented a variety of disease spectrums that range from asymptomatic to sepsis with multi-organ dysfunction and death. One of the mechanisms being a hypercoagulable state with micro and macro-circulatory thrombosis is found in critically ill COVID-19 patient with ARDS with pathology consistent with a vascular occlusive aetiology of respiratory failure rather than more classic finding of ARDS. Venous thromboembolism, MI, acute peripheral arterial thrombosis is seen in COVID-19. Endothelial cells dysfunction induced by infection causing excess thrombin generation, fibrinolysins shutdown, hypoxia inducible transcription factor dependent signalling pathways, increasing blood viscosity leading to Hypercoagulable state. Early application of anticoagulant therapy in severe COVID-19 was suggested for improving outcome in patients with elevated d-dimer. Aim of study was comparing effectiveness of LMWH with unfractionated heparin in outcome of COVID-19.Methods: This retrospective observational study including 400 patients meeting inclusion criteria were divided 2 groups out of which 200 patients were treated with inj. LMWH and other 200 were treated with injection heparin and various parameters were compared. A probability value (p value) of less than or equal to 0.05 was considered statistically significant.Results: Death rate is seen lower with LMWH in critically ill patients with high discharge rate with minimal lab parameter derangement and high efficacy to lower down inflammatory markers (LDH, ferritin, CRP, D-dimer, ESR) in comparison to unfractionated heparin.Conclusions: Early use of LMWH may be beneficial for the outcome

A comparative study of efficacy and side effects of nifedipine with nifedipine along with dydrogesterone in management of preterm labor

Background: Preterm labor remains one of the major cause of neonatal morbidity and mortality. Different tocolytics have been studied for prolongation of pregnancy, role of progesterone in increasing latency period remains controversial. Aim of the study was to compare efficacy of nifedipine with nifedipine along with dydrogesterone as a tocolytic agent in case of preterm labor and find its impact on maternal and neonatal outcome. Methods: This study was conducted in 100 women who presented with  symptoms of   preterm labor,  patients were then randomized to nifedipine plus dydrogesterone therapy  or nifedipine  treatment. Group I received Nifedipine plus dydrogesterone 10 mg and group II received only nifedipine. Results: There was significant difference in latency period between group I and group II polongation beyond 1 week was observed in 58% in group I and 32% in group II. There is significant difference in APGAR score at 1 minute and 5 minute between patients of group I and group II. In group I, 57.4% neonates have APGAR >7 whereas in group II 31.9% neonates have APGAR >7 at 1 minute. In Group I, 89.4 % neonates have APGAR >7 whereas in group II 68.1% neonates have APGAR >7 at 5 minutes. The mean birth weight in group I was 1.86 with SD 0.35 whereas in group II it was 1.72 with SD 0.34 which is statistically significant. However, no significant difference was found between admission in neonatal intensive care unit or neonatal complications and adverse effects between 2 groups. Conclusions: This study found dydrogesterone along with nifedipine is more effective as tocolytic in comparison to nifedipine alone

CYPRINUS CARPIO: BIOINDICATOR OF HEAVY METAL POLLUTION IN YAMUNA RIVER, DELHI REGION

Heavy metals being persistent pose conglomerated hazards towards safety and human health. Impacts of heavy metal pollution can be exhibited by both natural and anthropogenic activities. Therefore, developing nations are under immense pressure of controlling the environmental impacts of increasing industrialization and pollution, subject to their limited resources and infrastructure. Bioindicators are important biological entities to determine the positive/ negative changes in the desired ecosystem. They are the fast respondents towards the slightest changes and provide early reliable results. Identifying & establishing a suitable bioindicator can provide a faster and inexpensive way to address the undesirable effects. Cyprinus carpio, a freshwater fish, is used to determine the Lead (Pb) at different locations of Yamuna River and the bioavailability in different tissues. In the present study, we are trying to establish fish as an indicator of lead pollution in the river. It is a well-known fact that the water bodies are most affected by human activities. Polluted water bodies can lead to adverse effects on human health. Lead is also known to cause phytotoxicities in aquatic and terrestrial plants. This study is therefore an attempt to identify the harmful impacts of lead in River ecology. Ten fish specimens of C. carpio were collected from four different sites of Yamuna River and analyzed for Lead accumulation in fish tissues. High concentration and accumulation were observed in specimens collected from various locations and found to be higher than the permissible limits for human consumption

Life threatening acute kidney injury in a patient of rheumatoid arthritis, is it drug or disease related?

Even low-dose MTX therapy for treatment of rheumatic diseases is claimed to cause impairment in renal function. We report an insidious and progressive deterioration of renal function of patient with RA on low-dose MTX in a 41-year-old woman. We suggest that patients on low-dose MTX therapy should be periodically monitored for creatinine levels

Is Face Recognition Biased by Unintentional Recognition of Distracting Information?

Research highlights that we are not as skilful in controlling our memory as we may believe. Instead, our everyday intentional recognition judgments are often biased by what we unintentionally recognise in the same context. So far, it has been demonstrated that the unintentional recognition of image distractors can bias the intentional recognition of word targets, in the form of a familiarity (old/new) congruency bias. This bias reflects improved recognition performance for targets when the distractor/context upon which it is present at test is of the same memory status (also old or new). However, this effect has not yet been explored using face stimuli, despite faces varying in pre-existing familiarity and often being encountered in different familiar or unfamiliar contexts in everyday life. Furthermore, the distractor stimuli used in past literature have often been limited to simple drawings. Past designs have also typically relied on the use of working memory load or divided-attention tasks, or healthy aging to magnify distractibility, which is arguably not ecological valid nor generalisable. Consequently, this research investigated whether distractor-induced congruency biases found for words also apply to faces, using a new database of up-to-date face stimuli and without secondary manipulations of distractibility. I also attempted to replicate these results in an alternative sample and compared effects between target types (words vs faces). Results show novel evidence for the idea that faces are also biased by distracting stimuli in the same manner that has been found in relation to words. In turn, providing evidence for specific cognitive theories (e.g. Perceptual load theory) while questioning others (face processing modularity). Lastly, the study also provides future direction for neurocognitive research to answer questions regarding the underlying mechanisms of distractor bias, based on past research findings of dissociating event-related potentials (ERPs) in relation to unintentional and intentional recognition