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Abstract Background This study was designed for the research and development (R&D) and application of a storage inflow and outflow management system enabling departments to perform efficient, scientific, and information-based consumable management. Methods In the endocrinology department of a hospital, expert and R&D teams in consumable management were set up, and an information-based storage inflow and outflow management system for consumables was designed and developed. The system was operated on a personal computer and was divided into three modules: public consumables, bed consumables, and quality control management. The functions of the system included storage inflow and outflow, early warnings, response to user queries, and statistics on consumables. Data were derived from the hospital information system (HIS,ZHIY SOFTWARE HIS VERSION4.0) and a questionnaire survey. Economic indicators, work efficiency of consumable management, nurse burnout, consumable stockroom management, and staff satisfaction were compared under manual management, Excel-based management, and the consumable storage inflow and outflow management system. The results of the questionnaire were analysed using the R software, version 4.1.0. Results Dates were obtained from manual management, Excel-based management and the consumable storage inflow and outflow management system. Under these three methods, the daily prices of department consumables per bed were 53.43 ± 10.27 yuan, 38.65 ± 8.56 yuan, and 31.98 ± 7.36 yuan, respectively, indicating that the new management system reduced costs for the department. The time spent daily on consumable management was shortened from 119.5 (106.75, 123.5) min to 56.5 (48.5, 60.75) to 20 (17.25, 24.25) min. Nurses’ emotional fatigue and job indifference scores, respectively, decreased from 22.90 ± 1.65 and 8.75 ± 1.25 under manual management to 19.70 ± 1.72 and 6.90 ± 1.37 under Excel-based management and to 17.20 ± 2.04 and 6.00 ± 1.30 under the novel system; the satisfaction of the warehouse keeper and collection staff, respectively, increased from 76.62% and 80.78% to 91.6% and 90.5% to 98.8% and 98.5% under the three successive systems. Conclusions The storage inflow and outflow management system achieved produced good results in the storage and classification of consumables.

This article analyzes and compares the following of Twitter users during the two electoral debates of the general elections in Spain in April and November 2019. Through the collection of the official hashtags #ElDebateDecisivo (970,706 tweets) and #DebateElectoral (821,521) respectively from 9 am on the day of the debate until 2 am the following day, we analyzed the polarity and basic emotions of the messages posted on the social network using algorithms with R software. A network theory study was also carried out to determine each account’s affiliation to each group. The results show a polarization in the network, with well-defined groups with hardly any relationship with other groups of different ideologies. It is also observed that the entry of a new player, Vox, into the second debate completely alters the rest of the center-right parties, which end up seeing it from a much more negative perspective. This entry does not involve major changes among the left-wing parties, but it does mean an increase in fear.

Abstract Ureaplasma and Prevotella infections are well-known bacteria associated with preterm birth. However, with the development of metagenome sequencing techniques, it has been found that not all Ureaplasma and Prevotella colonizations cause preterm birth. The purpose of this study was to determine the association between Ureaplasma and Prevotella colonization with the induction of preterm birth even in the presence of Lactobacillus. In this matched case-control study, a total of 203 pregnant Korean women were selected and their cervicovaginal fluid samples were collected during mid-pregnancy. The microbiome profiles of the cervicovaginal fluid were analyzed using 16S rRNA gene amplification. Sequencing data were processed using QIIME1.9.1. Statistical analyses were performed using R software, and microbiome analysis was performed using the MicrobiomeAnalyst and Calypso software. A positive correlation between Ureaplasma and other genera was highly related to preterm birth, but interestingly, there was a negative correlation with Lactobacillus and term birth, with the same pattern observed with Prevotella. Ureaplasma and Prevotella colonization with Lactobacillus abundance during pregnancy facilitates term birth, although Ureaplasma and Prevotella are associated with preterm birth. Balanced colonization between Lactobacillus and Ureaplasma and Prevotella is important to prevent preterm birth.

Background: Colistin, is used as the last treatment line for infections concluded from multiple drug-resistant gram-negative microorganisms. Increased consumption of colistin leads to resistance to this antibiotic in many countries. This study investigated the usage pattern of colistin administration in a selected hospital in Iran. Methods: This study was conducted in a selected hospital in Ahvaz. Inclusion criteria were all patients who received colistin during this time according to the health information system. Patients who were received less than three doses of colistin were excluded from the study. Prescription of colistin in all patients was evaluated according to the protocol extracted from the last version of Lexicomp written by Wolters Kluwer. The descriptive and analytical statistics were carried out by the R software. Results: Among 27 patients who received colistin, pneumonia (30%) was the main diagnoses. Colistin administration was based on the microbiological culture data in 70% of cases. Considering the involved microorganism, most cases were Acinetobacter spp., followed by Klebsiella spp. Loading dose was prescribed for seven (26%) patients. In only five (19%) cases, colistin dosing, including loading dose, maintenance dose, and the interval of colistin administration, was appropriate during the study time. Increasing in serum creatinine was seen in two (7.4%) patients. In 29.4% of patients, the combination of colistin and carbapenems was observed. Conclusion: Given the lack of appropriate dose adjustment of colistin that may lead to incidence of resistance and adverse effect, applying of the specialist clinical pharmacist will be suggested.

Mass production has attracted much attention as a new approach to knowledge production. The R software system is a typical product of mass production. For its unique architecture, the R software system accurately recorded the natural process of knowledge propagation and inheritance. Thus, this article established a dynamic complex network model based on the derivative relationship between R software packages, which reflects the evolution process of online knowledge production structure in R software system, and studied the process of knowledge propagation and inheritance via the dynamic complex network analysis method. These results show that the network size increases with time, reflecting the tendency of R software to accelerate the accumulation of knowledge. The network density and network cohesion decrease with the increase of scale, indicating that the knowledge structure of R software presents a trend of expansion. The unique extension structure of R software provides a rich research foundation for the propagation of knowledge; thus, the results can provide us a new perspective for knowledge discovery and technological innovation.

The variation and non-control of the overflow of the Mono River adversely affects the performance of the Nangbetohydropower plant to the point thatitcan no longermeet the increasinglyincreaseddemand for electricity. This studypresents the development of an operational model for forecastingdaily river flows for the plants water retention. The overflow of the Mono River at the upstreamhydroelectric dam from 1991 to 2019 wasanalyzed and modeled by the deterministicprocesswith R software in order to makepredictions. First, the flow serieswasanalyzed by the ARIMA model (18, 1, 2) then by a multiplicative model afterremoving the seasonal trends fromtheseseries by the movingaveragemethod. The calculatederror of the results of said model revealsthat the deterministic model integrates the input generationprocesseswith an error of the order of . Finally, an annual flow forecasting program has been developed as a planning tool for the operation of the dam, in order to meet production needs and to plan water releases.

The content on social media is full of useful information that helps in communicating people’s preferences and opinions. The various examples in this context are that people frequently express their opinions about films and other social issues using Twitter, Facebook, etc. In this work, Sentiment Analysis of the Annual Budget for five financial years, namely, 2017–2018, 2018–2019, 2019–2020, 2020–2021, and 2021–2022 was initiated with the help of Twitter. Firstly, the researcher applied Text Mining to extract the budget's text data documents and computed correlation to know the association of influential words. Then, in analysis section plotted the occurrence of the words and the accompanying word cloud. The analysis was performed employing R software. Finally, the sentiment score for each item was calculated and assessed. This research is crucial because conducting a comparative text and Sentiment Analysis of five-year budgets for the Indian economy would communicate the previously prevailing positive and negative forecasts and thinking, which will aid future policymakers in planning future budgets.

A Chow test was applied to analyze the structural changes in GDP of India with respect to Fisheries GDP obtained from the states of Andhra Pradesh and Tamil Nadu using Unrestricted and Restricted Linear Regression models in matrix notation for the period of 2000–01 to 2013–14. The GDP and Fisheries GDP data pertaining to the state of Andhra Pradesh and Tamil Nadu for the periods 2000–01 to 2006–07 and 2007–08 to 2013–14 were also collected for analyzing the structural changes between earmarked two periods as well as states from 2000–01 to 2013–14. In this study, the Chow test revealed that there was no structural change between the total GDP of India and Fisheries GDP with respect to the states Andhra Pradesh and Tamil Nadu during the periods 2001–2007 and 2008 –2014. However, significant structural changes could be observed between the GDP of India and Fisheries GDP obtained from the states of Andhra Pradesh and Tamil Nadu during the period 2000–2001 to 2013–14.However, there was a positive trend of structural change observed in the states Andhra Pradesh and Tamil Nadu with respect to the GDP of India and Fisheries GDP during the period 2000–2001 to 2012–14. Owing to theses, it is concluded that the contribution of fisheries with respect to the country’s GDP between the periods made a significant structural change however no many structural changes were observed in two time periods within the states.

Innovation and research in various fields should be done responsibly. In the last years, there is this responsibility towards different stakeholders. One of the most important stakeholders are the community and the society. In this context, the concept of social responsibility and social innovation has become very widespread. The purpose of this study was scientometric analysis of concepts in the field of responsible innovation and responsible research. R software has been used to achieve this purpose. In this study, by analyzing the information extracted from related articles (572 articles from Web of Science), the new concept of RRI and the network of researchers in this regard have been identified and analyzed. In this study, based on a systematic literature review (SLR) and scientometric methods, the evolution of the concept of “Responsible Research” and “Responsible Innovation” in the literature is investigated. Also, the selected articles identified by the SLR method from different textual dimensions regarding journals, collaboration network, co-citation network, collaboration worldmap, historical direct citation network, and emergence of new concepts are analyzed. The results of this study indicate the development of related concepts in the literature in recent years and indicate the need for further studies in this regard.