A STUDY ON THE STATUS OF FURNITURE MANUFACTURING INDUSTRIES IN MORATUWA AREA

Moratuwa area has a long history of furniture industry in Sri Lanka. In the present study,furniture manufacturing industry (FMI) in Moratuwa was studied using twoquestionnaire surveys. The main raw materials. manufacturing process, technologicallevel, furniture designing methods, seasoning methods. waste disposal methods,educational and sociological aspects of workers of the FMI were studied. In addition, datawere collected on furniture marketing from the Ratmalana furniture permit-issuing centerof the Forest Department. Raw material supplies (timber logs) into the Moratuwa areawere also studied at five different locations including timber-checking stationsThe study revealed that the Moratuwa area consists of considerable amount ofmechanized carpentry sheds and some associate with furniture shops or saw mills. 83%of furniture is manufactured using heavy wood species and 17% using light wood species.Teak is the most popular timber species followed by Satin and Nadun. Most of thetimbers used in the industry are air dried, while others are kiln-dried. Three commonmethods are observed for designing of furniture: based on consumer preference,traditional designs by carpenters and use of designs from foreign catalogues. Furniturecan be categorized into six broad categories, based on their quality and finishing level.Semi- finished Furniture are mostly sold in bulk to furniture dealers in out side areas, andafter transportation, they are finished and sold based on regional requirements.The total number of furniture production per month is estimated as 63,612 units, when41 furniture items are considered. Teak Cabinets, Teak Elmira, and Teak Chairs are themain manufactured items. The overall monthly income from all the FMI of Moratuwaarea is estimated to be Rs. 54.05 million.Wooden wastes mainly consist of sawdust! slabs (2854 cum) and fuel wood (1850 cu.rn),which arc estimated to value approximately Rs. 569,270.00. 13 % of this wooden waste isused for cooking purposes in the FMI of Moratuwa area. 34% is used for other purposessuch as agricultural and poultry industries and as fuel for kilns of the brick industry.However 44% of wooden wastes is not utilized and is disposed by burning.The total number of workers is estimated as 3515 workers which comprises, skilledcarpenters (68%), semi skilled carpenters (11%), laborers (7%), other category workers(5%Y," managerS (4%) and supervisors (4%). The dominant age class-ilrthe"FMJ is"4F55 years, which represents 44 percent of the total workers. 192 children (out of 378) ofthe workers are employed in FMI; which accounts 51 percent children of the workers jointheFMI. The educational levels of the workers are low and they have gained their skills fromtheir fathers and forefathers

IMPACT OF MACROECONOMIC VARIABLES ON STOCK MARKET PERFORMANCES: EVIDENCE FROM SRI LANKA

After eradicating 30 years of war, Sri Lanka has been rising like a phoenix bird rises from the ashes of its predecessor. With the golden opportunity to experience an impressive development within almost all the sectors inside the country, Colombo stock exchange (CSE) was labeled as the world’s best performing stock exchange according to Bloomberg in 2010. Unfortunately, it did not last longer. According to an analysis of Bespoke investment group in 2012, Colombo stock exchange became the second worst performing stock exchange ahead of Dhaka exchange in Bangladesh.The aim of this paper is to measure the impact of macroeconomic variables on the all share price index (ASPI) of CSE in Sri Lanka. Monthly data collected from publication of Central Bank of Sri Lanka from 2006 to 2016 were employed. In the model specification, two dummy variables were included to test the impact from civil war prevailed in the country and global financial crisis on share prices and the parameters were estimated using Ordinary Least Square (OLS) method. The results indicate that macroeconomic variables have an overall impact towards ASPI of Sri Lanka. Interest rate, industrial production index and civil war affected negatively on ASPI while US Dollar exchange rate and real GDP growth rate reacted positively on the all share price index. Importantly, global financial crisis positively affected the all share price index in Sri Lanka, which is contradictory to the experiences of developed countries. Study concluded that even though there is an uncertainty prevailing within external world, there is a tendency of attracting foreign investment towards capital market when a country is having a positive condition like Sri Lanka ending thirty years of war. Further, it reveals that inflation rate and money supply growth rate does not have a significant impact on the share price index of Sri Lanka. These findings can be significantly incorporated in government policy making which will be aimed at creating a strong capital market, investment decisions of local and foreign investor, stock market regulating authorities and financial analysts who develop forecasting models with reference to share price indexes.Keywords: Macroeconomic Impact, Colombo Stock Exchange, All share price index, Ordinary Least Square Method, Sri Lank

Crafting the Composite Garment: The role of hand weaving in digital creation

There is a growing body of practice-led textile research, focused on how digital technologies can inform new design and production strategies that challenge and extend the field. To date, this research has emphasized a traditional linear transition between hand and digital production; with hand production preceding digital as a means of acquiring the material and process knowledge required to negotiate technologies and conceptualize designs. This paper focuses on current Doctoral research into the design and prototyping of 3D woven or 'composite' garments and how the re-learning, or reinterpreting, of hand weaving techniques in a digital Jacquard format relies heavily on experiential knowledge of craft weaving skills. Drawing parallels between hand weaving and computer programming, that extend beyond their shared binary (pixel-based) language, the paper discusses how the machine-mediated experience of hand weaving can prime the weaver to ‘think digitally’ and make the transition to digital production. In a process where the weaver acts simultaneously as designer, constructor and programmer, the research explores the inspiring, but often indefinable space between craft and digital technology by challenging the notion that 'the relationship between hand, eye and material’ naturally precedes the use of computing (Harris 2012: 93). This is achieved through the development of an iterative working methodology that encompasses a cycle of transitional development, where hand weaving and digital processes take place in tandem, and techniques and skills are reinterpreted to exploit the advantages and constraints of each construction method. It is argued that the approach challenges the codes and conventions of computer programming, weaving and fashion design to offer a more sustainable clothing solution

Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE): Emissions of particulate matter from wood-and dung-fueled cooking fires, garbage and crop residue burning, brick kilns, and other sources

The Nepal Ambient Monitoring and Source Testing Experiment (NAMaSTE) characterized widespread and under-sampled combustion sources common to South Asia, including brick kilns, garbage burning, diesel and gasoline generators, diesel groundwater pumps, idling motorcycles, traditional and modern cooking stoves and fires, crop residue burning, and heating fire. Fuel-based emission factors (EFs; with units of pollutant mass emitted per kilogram of fuel combusted) were determined for fine particulate matter (PM2.5), organic carbon (OC), elemental carbon (EC), inorganic ions, trace metals, and organic species. For the forced-draft zigzag brick kiln, EFPM2.5 ranged from 12 to 19gkg-1 with major contributions from OC (7%), sulfate expected to be in the form of sulfuric acid (31.9%), and other chemicals not measured (e.g., particle-bound water). For the clamp kiln, EFPM2.5 ranged from 8 to 13gkg-1, with major contributions from OC (63.2%), sulfate (23.4%), and ammonium (16%). Our brick kiln EFPM2.5 values may exceed those previously reported, partly because we sampled emissions at ambient temperature after emission from the stack or kiln allowing some particle-phase OC and sulfate to form from gaseous precursors. The combustion of mixed household garbage under dry conditions had an EFPM2.5 of 7.4±1.2gkg-1, whereas damp conditions generated the highest EFPM2.5 of all combustion sources in this study, reaching up to 125±23gkg-1. Garbage burning emissions contained triphenylbenzene and relatively high concentrations of heavy metals (Cu, Pb, Sb), making these useful markers of this source. A variety of cooking stoves and fires fueled with dung, hardwood, twigs, and/or other biofuels were studied. The use of dung for cooking and heating produced higher EFPM2.5 than other biofuel sources and consistently emitted more PM2.5 and OC than burning hardwood and/or twigs; this trend was consistent across traditional mud stoves, chimney stoves, and three-stone cooking fires. The comparisons of different cooking stoves and cooking fires revealed the highest PM emissions from three-stone cooking fires (7.6-73gkg-1), followed by traditional mud stoves (5.3-19.7gkg-1), mud stoves with a chimney for exhaust (3.0-6.8gkg-1), rocket stoves (1.5-7.2gkg-1), induced-draft stoves (1.2-5.7gkg-1), and the bhuse chulo stove (3.2gkg-1), while biogas had no detectable PM emissions. Idling motorcycle emissions were evaluated before and after routine servicing at a local shop, which decreased EFPM2.5 from 8.8±1.3 to 0.71±0.45gkg-1 when averaged across five motorcycles. Organic species analysis indicated that this reduction in PM2.5 was largely due to a decrease in emission of motor oil, probably from the crankcase. The EF and chemical emissions profiles developed in this study may be used for source apportionment and to update regional emission inventories

Two new plant nutrient nanocomposites based on urea coated hydroxyapatite: Efficacy and plant uptake

Macronutrient delivery to plants, particularly nitrogen, is problematic because of losses occurring during fertilization. Currently, nanotechnology is being considered as a solution to improving nutrient use efficiency. In this study, we report the synthesis and plant uptake of two plant nutrient nanocomposites based on urea coated hydroxyapatite (UHA) and potassium encapsulated into (i) a nanoclay, montmorillonite (MMT) or (ii) cavities present in Gliricidia sepium stem resulting in a wood chip containing macronutrients. Soil leaching behaviour, efficacy and plant uptake of the nutrients were tested in a pot experiment using Festuca arundinacea during a period of 60 weeks. Two nanocomposites displayed slow release behaviour particularly for nitrogen, in soil leaching tests compared to the conventional formulations. Both nanoformulations displayed efficient plant nutrient uptake highlighting the improved nutrient use efficiency. These data clearly revealed that urea fabricated into its nanoscale provide platform for development of efficient fertilizer formulations

Minimotif Miner 3.0: database expansion and significantly improved reduction of false-positive predictions from consensus sequences

Minimotif Miner (MnM available at http://minimotifminer.org or http://mnm.engr.uconn.edu) is an online database for identifying new minimotifs in protein queries. Minimotifs are short contiguous peptide sequences that have a known function in at least one protein. Here we report the third release of the MnM database which has now grown 60-fold to approximately 300 000 minimotifs. Since short minimotifs are by their nature not very complex we also summarize a new set of false-positive filters and linear regression scoring that vastly enhance minimotif prediction accuracy on a test data set. This online database can be used to predict new functions in proteins and causes of disease

High-Resolution Melting Genotyping of Enterococcus faecium Based on Multilocus Sequence Typing Derived Single Nucleotide Polymorphisms

We have developed a single nucleotide polymorphism (SNP) nucleated high-resolution melting (HRM) technique to genotype Enterococcus faecium. Eight SNPs were derived from the E. faecium multilocus sequence typing (MLST) database and amplified fragments containing these SNPs were interrogated by HRM. We tested the HRM genotyping scheme on 85 E. faecium bloodstream isolates and compared the results with MLST, pulsed-field gel electrophoresis (PFGE) and an allele specific real-time PCR (AS kinetic PCR) SNP typing method. In silico analysis based on predicted HRM curves according to the G+C content of each fragment for all 567 sequence types (STs) in the MLST database together with empiric data from the 85 isolates demonstrated that HRM analysis resolves E. faecium into 231 “melting types” (MelTs) and provides a Simpson's Index of Diversity (D) of 0.991 with respect to MLST. This is a significant improvement on the AS kinetic PCR SNP typing scheme that resolves 61 SNP types with D of 0.95. The MelTs were concordant with the known ST of the isolates. For the 85 isolates, there were 13 PFGE patterns, 17 STs, 14 MelTs and eight SNP types. There was excellent concordance between PFGE, MLST and MelTs with Adjusted Rand Indices of PFGE to MelT 0.936 and ST to MelT 0.973. In conclusion, this HRM based method appears rapid and reproducible. The results are concordant with MLST and the MLST based population structure

A new direct detection electron scattering experiment to search for the X17 particle

A new electron scattering experiment (E12-21-003) to verify and understand the nature of hidden sector particles, with particular emphasis on the so-called X17 particle, has been approved at Jefferson Lab. The search for these particles is motivated by new hidden sector models introduced to account for a variety of experimental and observational puzzles: excess in $e^+e^-$ pairs observed in multiple nuclear transitions, the 4.2$\sigma$ disagreement between experiments and the standard model prediction for the muon anomalous magnetic moment, and the small-scale structure puzzle in cosmological simulations. The aforementioned X17 particle has been hypothesized to account for the excess in $e^+e^-$ pairs observed from the $^8$Be M1, $^4$He M0, and, most recently, $^{12}$C E1 nuclear transitions to their ground states observed by the ATOMKI group. This experiment will use a high resolution electromagnetic calorimeter to search for or set new limits on the production rate of the X17 and other hidden sector particles in the $3 - 60$ MeV mass range via their $e^+e^-$ decay (or $\gamma\gamma$ decay with limited tracking). In these models, the $1 - 100$ MeV mass range is particularly well-motivated and the lower part of this range still remains unexplored. Our proposed direct detection experiment will use a magnetic-spectrometer-free setup (the PRad apparatus) to detect all three final state particles in the visible decay of a hidden sector particle for an effective control of the background and will cover the proposed mass range in a single setting. The use of the well-demonstrated PRad setup allows for an essentially ready-to-run and uniquely cost-effective search for hidden sector particles in the $3 - 60$ MeV mass range with a sensitivity of 8.9$\times$10$^{-8}$ - 5.8$\times$10$^{-9}$ to $\epsilon^2$, the square of the kinetic mixing interaction constant between hidden and visible sectors.Comment: 6 pages, 7 figures. arXiv admin note: substantial text overlap with arXiv:2108.1327