TEXTUAL DATA MINING FOR NEXT GENERATION INTELLIGENT DECISION MAKING IN INDUSTRIAL ENVIRONMENT: A SURVEY

This paper proposes textual data mining as a next generation intelligent decision making technology for sustainable knowledge management solutions in any industrial environment. A detailed survey of applications of Data Mining techniques for exploiting information from different data formats and transforming this information into knowledge is presented in the literature survey. The focus of the survey is to show the power of different data mining techniques for exploiting information from data. The literature surveyed in this paper shows that intelligent decision making is of great importance in many contexts within manufacturing, construction and business generally. Business intelligence tools, which can be interpreted as decision support tools, are of increasing importance to companies for their success within competitive global markets. However, these tools are dependent on the relevancy, accuracy and overall quality of the knowledge on which they are based and which they use. Thus the research work presented in the paper uncover the importance and power of different data mining techniques supported by text mining methods used to exploit information from semi-structured or un-structured data formats. A great source of information is available in these formats and when exploited by combined efforts of data and text mining tools help the decision maker to take effective decision for the enhancement of business of industry and discovery of useful knowledge is made for next generation of intelligent decision making. Thus the survey shows the power of textual data mining as the next generation technology for intelligent decision making in the industrial environment

AN INTEGRATED APPROACH IN TREATING NECK ABSCESS WITH NECROTISING FASCITIS – A CASE REPORT

Objective: Sushruta has explained various methods for Vrana Chikitsa. Virechana is vital to remove the vitiated Dosha from the body in turn normalize them and prevent recurrence of the abscess. Vrana Pichu is one of the best substitutes for wound healing and Jathyadi Taila has better Shodhana and Ropana effect. Case: A case of 70 year old man, who presented with complains of swelling in left anterio-lateral aspect of the neck since 4 days along with fever, pain and discolouration of the skin has been taken for the study. Methods: Initial I&D was done followed by a course of antibiotics. Then Deepana and Pachana. After Abhyantara and Bahya Snehana and Svedana, Virechana was administered. Vrana Pichu, with Jatyadi Taila was done every day. Results: The result of the current case study is based on the size of the wound. Conclusion: The combination of Virechana and Vrana Pichu can be used as a line of treatment for the management

3α-Dimethyl­amino-20-(N-methyl­acetamido)­pregn-5-ene

The title compond, C26H44N2O, is an steroidal alkaloid isolated from the medicinally important plant Sarcococca saligna. The mol­ecule consists of four fused rings (A–D), having chair, half-chair, chair and envelope conformations, respectively. The dimethyl­amino group is axially oriented on ring A, whereas the (N-methyl­acetamido)­ethyl group is attached equatorially on ring D. The crystal structure is stabilized only by van der Waals forces

Applying a business intelligence system in a big data context: production companies

Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, but of regions, countries and continents in the short, medium and long term. Thus, it is no surprise that governments such as the United States and the European Commission are already taking this into consideration in the development of their industrial policies. This article presents a case of the implementation of a BI system in an industrial food environment with Big Data characteristics in which information from various sources is combined to provide information that improves the decision-making of the controls

Aptes and teos modified binary recyclable hybrid Fe3O4@GO nanocomposite for photocatalytic dye removal

Methylene blue (MB) is one of the industrial used organic dye and recalcitrant pollutant which creates a serious water pollution. Among the available techniques, photo degradation using light irradiation is one of the desirable choice to treat waste water. In this regard, we synthesized a binary nanocomposite of magnetite decorated with graphene oxide sheet (Fe3O4@GO) with modification of tetraethyl orthosilicate (TEOS) and 3-Aminopropyl triethoxysilane (APTES) by mechanical stirring method. The prepared nanocomposite was tested as a potential heterogeneous catalyst for degradation of methylene blue (MB) under UV irradiation. The synthesized nanoparticles were characterized by using X-ray diffraction (XRD), Field Emission Scanning Electron Microscopy (FESEM), Fourier transform infrared (FTIR), Thermogravimetric Analysis (TGA), and Energy-dispersive X-ray spectroscopy (EDX) techniques. The characterizations confirm the successful synthesis of the nanocomposite. The photocatalytic activity of the catalysts was gradually enhanced with time intervals. The maximum MB removal efficiency of 70.06 % was achieved over Fe3O4@GO composite catalyst, remarkably higher than using pure Fe3O4 (57.56 %). The newly developed materials was successfully recovered using an external magnet

Inhibition of G-protein signalling in cardiac dysfunction of intellectual developmental disorder with cardiac arrhythmia (IDDCA) syndrome

BACKGROUND: Pathogenic variants of GNB5 encoding the β5 subunit of the guanine nucleotide-binding protein cause IDDCA syndrome, an autosomal recessive neurodevelopmental disorder associated with cognitive disability and cardiac arrhythmia, particularly severe bradycardia. METHODS: We used echocardiography and telemetric ECG recordings to investigate consequences of Gnb5 loss in mouse. RESULTS: We delineated a key role of Gnb5 in heart sinus conduction and showed that Gnb5-inhibitory signalling is essential for parasympathetic control of heart rate (HR) and maintenance of the sympathovagal balance. Gnb5-/- mice were smaller and had a smaller heart than Gnb5+/+ and Gnb5+/- , but exhibited better cardiac function. Lower autonomic nervous system modulation through diminished parasympathetic control and greater sympathetic regulation resulted in a higher baseline HR in Gnb5-/- mice. In contrast, Gnb5-/- mice exhibited profound bradycardia on treatment with carbachol, while sympathetic modulation of the cardiac stimulation was not altered. Concordantly, transcriptome study pinpointed altered expression of genes involved in cardiac muscle contractility in atria and ventricles of knocked-out mice. Homozygous Gnb5 loss resulted in significantly higher frequencies of sinus arrhythmias. Moreover, we described 13 affected individuals, increasing the IDDCA cohort to 44 patients. CONCLUSIONS: Our data demonstrate that loss of negative regulation of the inhibitory G-protein signalling causes HR perturbations in Gnb5-/- mice, an effect mainly driven by impaired parasympathetic activity. We anticipate that unravelling the mechanism of Gnb5 signalling in the autonomic control of the heart will pave the way for future drug screening

Factors Responsible for the Prolonged Stay of Surgical Neonates in Intensive Care Units

Objectives: The length of hospital stay (HS) for patients is a major concern due to its social, economic and administrative implications; this is particularly important for neonates admitted to intensive care units (ICUs). This study aimed to determine the factors responsible for prolonged HS in surgical neonates. Methods: This retrospective study was conducted at Sultan Qaboos University Hospital, in Muscat, Oman. The medical records of 95 neonates admitted to the neonatal ICU who underwent general surgical procedures between July 2009 and June 2013 were reviewed. Mann-Whitney U and Pearson’s Chi-squared tests were used for non-parametric numerical and categorical variables, respectively. A multiple regression analysis was performed to find a relationship between the variables and to detect the most important factor responsible for prolonged HS. A P value of <0.05 was considered statistically significant. Results: Gestational age, birth weight, number of days on a ventilator and postoperative morbidity were associated with prolonged HS. Furthermore, the age of neonates at first full enteral feed was associated with increased HS using both independent and multiple regression analyses. Conclusion: Prolonged HS can occur as a result of many factors. In this study, a number of factors were identified, including low gestational age, low birth weight, increased number of days on a ventilator and postoperative morbidity. Additionally, neonate age at first full enteral feeds also correlated with increased HS. Further research on this topic is suggested to explore this correlation in more detail and to inform future practices

Indirect effects of the early phase of the COVID-19 pandemic on the coverage of essential maternal and newborn health services in a rural subdistrict in Bangladesh: results from a cross-sectional household survey

Objective: This paper presents the effect of the early phase of COVID-19 on the coverage of essential maternal and newborn health (MNH) services in a rural subdistrict of Bangladesh. Design: Cross-sectional household survey with random sampling. Setting: Baliakandi subdistrict, Rajbari district, Bangladesh. Participants: Data were collected from women who were on the third trimester of pregnancy during the early phase of the pandemic (111) and pre-pandemic periods (115) to measure antenatal care (ANC) service coverage. To measure birth, postnatal care (PNC) and essential newborn care (ENC), data were collected from women who had a history of delivery during the early phase of the pandemic (163) and pre-pandemic periods (166). Exposure: Early phase of the pandemic included a strict national lockdown between April and June 2020, and pre-pandemic was defined as August–October 2019. Outcome of interest: Changes in the coverage of selected MNH services (ANC, birth, PNC, ENC) during the early phase of COVID-19 pandemic compared with the pre-pandemic period, estimated by two-sample proportion tests. Findings: Among women who were on the third trimester of pregnancy during the early phase of the pandemic period, 77% (95% CI: 70% to 85%) received at least one ANC from a medically trained provider (MTP) during the third trimester, compared with 83% (95% CI: 76% to 90%) during the pre-pandemic period (p=0.33). Among women who gave birth during the early phase of the pandemic period, 72% (95% CI: 66% to 79%) were attended by an MTP, compared with 63% (95% CI: 56% to 71%) during the pre-pandemic period (p=0.08). Early initiation of breast feeding was practised among 38% (95% CI: 31% to 46%) of the babies born during the early phase of the pandemic period. It was 37% (95% CI: 29% to 44%) during the pre-pandemic period (p=0.81). The coverage of ANC, birth, PNC and ENC did not differ by months of pandemic and pre-pandemic periods; only the coverage of at least one ANC from an MTP significantly differed among the women who were 7 months pregnant during the early phase of the pandemic (35%, 95% CI: 26% to 44%) and pre-pandemic (49%, 95% CI: 39% to 58%) (p=0.04). Conclusion: The effect of the early phase of the pandemic including lockdown on the selected MNH service coverage was null in the study area. The nature of the lockdown, the availability and accessibility of private sector health services in that area, and the combating strategies at the rural level made it possible for the women to avail the required MNH services

A clinical study of arrhythmias associated with acute coronary syndrome: a hospital based study of a high risk and previously undocumented population

Background: ACS represents a global epidemic. Arrhythmia in ACS is common. Careful investigation may lead to further improvement of prognosis. Retrospectively analyzed the year- round data of our center. Study was undertaken to analyze the incidence, frequency and type of arrhythmias in ACS. This is to aid timely intervention and to modify the outcome. Identification of the type of arrhythmia is of therapeutic and prognostic importance.Methods: This cross sectional analytical study was conducted in the Department of Cardiology, Apollo Hospitals Dhaka, from January 2019 to January 2020 with ACS patients. Enrolled consecutively and data analyzed.Results: There were 500 patients enrolled considering inclusion and exclusion criteria. Sample was subdivided into 3 groups on the type of ACS. Group-I with UA, Group-II with NSTE - ACS and Group-III with STE - ACS. Different types of arrhythmia noted. Types of arrhythmia were correlated with type of ACS. 500 patients included. Mean age 55.53±12.70, 71.6% male and 28.4% female. 60.4% hypertensive, 46.2% diabetic, 20.2% positive family history of CAD, 32.2% current smoker, 56.4% dyslipidaemic and 9.6% asthmatic. 31.2% UA, 39.2% NSTE-ACS and 29.6% STE-ACS. Type of arrhythmias noted. 22% sinus tachycardia, 20.2% sinus bradycardia, 9% atrial fibrillation, 5.2% ventricular ectopic, 4.8% supra ventricular ectopic, 2.8% bundle branch block, 2.2% atrio-ventricular block, 1% broad complex tachycardia, 0.4% narrow complex tachycardia, 0.2% sinus node dysfunction and 32.2% without any arrhythmia. Significant incidences of arrhythmia detected - respectively 29.8%, 39.2% and 31%, p<0.001.Conclusions: In conclusion, arrhythmias in ACS are common. More attention should be paid to improve their treatment and prognosis