Input Digitization of the Manufacturing Industry and Carbon Emission Intensity Based on Testing the World and Developing Countries.

Facing the increasingly deteriorating climate, carbon emission reduction has become a global consensus. In particular, as an industry with very serious pollution emissions, the manufacturing industry is under enormous pressure to reduce environmental consumption. At the same time, against the background of rapid digitization development, the production and organization of the manufacturing industry have greatly changed, which also provides new research ideas for global carbon emission reduction. Based on the panel data of 40 major economies in the world, this paper calculates the degree of input digitization of the manufacturing industry using the input-output method and constructs a triple fixed effect model to analyze the impact of manufacturing's input digitization on its carbon emission intensity from the perspective of the world and developing countries. The research finds that, first, on the global level, input digitization significantly reduces the carbon emission intensity of manufacturing, and the effect of carbon reduction increases gradually over time, with a noticeable industry spillover effect. Second, the test results from developing countries show that the relationship between digital input from developed countries and manufacturing's carbon intensity in developing countries presents an inverted U shape. Third, heterogeneity analysis shows that digital input has the most obvious effect on carbon reduction in the pollution-intensive manufacturing sector. Tracking the sources of digital input, it is found that digital input from high-tech economies has the most obvious effect on carbon reduction. The paper takes the lead in clarifying the impact of digitization on carbon emissions from the manufacturing sector, expands the existing research on the digital economy and the environment, and also makes a theoretical contribution to global carbon emission reduction.

Bio-typing of Mycobacterium avium subspecies paratuberculosis isolates recovered from the Himalayan sheep and goats.

Information on bio-type profile of Mycobacterium avium subspecies paratubeculosis (MAP) in sheep flocks and goat herds of Himalayan region is not reported earlier. The aim of our study was to determine the bio-type of MAP infecting livestock of this region. A total of 71 faecal samples (sheep-57, goats-14) were screened by Ziehl-Neelsen (ZN) staining and IS900 PCR, and then processed for culture on Herrold's egg yolk medium (HEYM) having mycobactin J (MJ). Out of 71 faecal samples, MAP colonies were seen only in four samples (sheep-3 and goat-1). Isolates were confirmed as MAP on the basis of slow growth, acid fastness, MJ dependency, IS900 and IS1311 PCR. All the IS900 and IS1311 PCR positive samples were bio-typed by IS1311 PCR-REA (restriction endonuclease analysis), which confirmed all four isolates as 'bison type.' In IS1311 based phylogeny of MAP isolates by ClustalW method of the MegAlign program of DNASTAR Lasergene software, the four sequences of MAP isolates (NCBI sequence nos. MH988763, MH988765, MH988766 and MH988764) did not show any distinct clustering/grouping pattern. However, these four isolates showed a bit of closeness to the MAP sequences (KC990353.1 and KC990352.1) of 'bison type' isolated from wood bison in Canada. In conclusion, this is the first report on isolation and bio-type profile of MAP infecting sheep and goats of Himalayan region. Study will help in devising prevention and control strategies against spread of MAP infection in livestock population of Himalayan region.

Incidence of bovine clinical mastitis in Jammu region and antibiogram of isolated pathogens.

AIM: This study was conducted to evaluate the incidence of clinical mastitis in bovines of Jammu region, to identify the infectious organisms responsible for it, and the antimicrobial sensitivity of isolated pathogens. MATERIALS AND METHODS: The study was conducted on cases that were presented to the Medicine Division of Teaching Veterinary Clinical Complex, Faculty of Veterinary Sciences and Animal Husbandry, R.S. Pura, Jammu, Jammu and Kashmir. A total of 260 cases of bovines were presented from June 30, 2012, to July 01, 2013, out of which 30 cases were of clinical mastitis. The diagnosis of clinical mastitis was made on the basis of history and clinical examination of affected animals. RESULTS: Animal and quarter-wise incidence of clinical mastitis were found to be 11.5% and 5.76%, respectively. Of the 23 isolates obtained, Staphylococcus aureus (60.87%) was the most frequently isolated organism, followed by coagulase negative Staphylococci (13.04%), Streptococcus uberis (4.35%), Streptococcus dysgalactiae (8.69%), and Escherichia coli (13.04%). The antimicrobial sensitivity of isolates revealed maximum sensitivity to enrofloxacin, gentamicin, amoxicillin/sulbactam, ceftriaxone/tazobactam, ceftizoxime, ampicillin/sulbactam and least sensitivity for oxytetracycline and penicillin. CONCLUSION: Staphylococcus spp. is the major causative agent of clinical mastitis in bovines of Jammu region. The causative agents of the clinical mastitis were most sensitive to enrofloxacin and gentamicin.