Green synthesis of silver nanoparticles using aqueous extract of saffron(Crocus sativus L.) wastages and its antibacterial activity against six bacteria

Objective: To synthesis silver nanoparticles(Ag NPs) by using extract of saffron(Crocus sativus L.) wastages and to test their antibacterial activity against six bacteria.Methods: In this paper, the synthesis of Ag NPs using aqueous extract of saffron wastage as a green method without any chemical stabilizer and reducer is demonstrated. The synthesized Ag NPs were determined by UV–vis spectrum, high resolution transmission electron microscopy, X-ray diffraction, and Fourier transmission infrared spectroscopy analysis.Results: UV–vis spectrum showed a peak at 450 nm due to excitation of surface plasmon vibrations. Fourier transmission infrared spectroscopy showed that nanoparticles were capped with plant secondary metabolites. X-ray diffraction analysis also demonstrated that the size range of the synthesized nanoparticles was 12–20 nm. Transmission electron microscope image illustrated Ag NPs with spherical shape and an average size of15 nm. The result of antibacterial activities showed that the biosynthesized Ag NPs had an inhibiting activity against Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumonia, Shigella flexneri and Bacillus subtilis.Conclusions: The biosynthesized Ag NPs showed significant antibacterial effect against Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumonia, Shigella flexneri and Bacillus subtilis, so, it can be used in biomedical applications.

The Fetal Outcome and Fetal Wastage Pattern among Different Types of Obstetric Fistula at the National Obstetric Fistula Centre, Abakaliki, Nigeria

BACKGROUND: Obstetric Fistula is a major public health problem in developing world. It is associated with a high fetal wastage rate. The objective of this study was to evaluate different types of obstetric fistula and their fetal wastage rate. METHOD: A retrospective population study was done at the National Obstetric Fistula Centre, Abakaliki between 1st January-31st December, 2016. The calculated minimum sample size was 3, however, the total number of 203 patients were studied. The case notes of all the women who had obstetric fistula repairs over the period were analyzed. RESULTS: The mean age from this study was 38 ± 12.1 years. The fetal wastage rate from this study was 82.76% while the live birth was 17.24%. Seventy percent of the stillbirth were delivered via SVD, while 11% of stillbirth were delivered through EmCS. Twelve different types of fistula were identified in this study using anatomical classifications. Large extensive fistula, urethral loss and multiple fistula had the highest fetal wastage of 100% respectively. This was followed by mid-vaginal fistula (95.7%), Juxtaurethral fistula 94.4%, Juxtacervical fistula 88.5%, Intracervical fistula 85.71%, Ureteric fistula 85.71%, Vesicouterine 84.21%, Vault fistula 62.5%. Rectovaginal fistula had the least fetal wastage of 15.79% and the highest live birth of 84.2%. CONCLUSION: The findings showed a high fetal wastage rate amongst women with obstetric fistula. There was high fetal wastage across different types of obstetric fistula. Rectovaginal fistula had the best outcome in terms of live births.

Clustering of Pregnancy Wastages among Young HIV-Positive Women in a High HIV Prevalence District in India

Context: This paper examined the clustering of pregnancy wastage among HIV-infected pregnant women, particularly focusing on the outcomes of abortions and stillbirths, from a large sample of HIV-positive women to bridge the existing information gap. Methods: Data from a cross-sectional survey conducted among currently married HIV positive women aged 15-29 years in Bagalkot district, Karnataka, India were used. Further to assess the clustering of pregnancy wastage, the binomial distribution was used. Results: The study shows that 2% of the women account for 32% of the total pregnancy wastages and 7% of all the interviewed HIV positive women account for 62% of the total pregnancy wastages. The study further shows that a higher percent observed (29.6%) than expected (15.5%) who had experienced 2 pregnancy wastages suggesting 14.1% more women experienced 2 pregnancy wastages than expected. Again, a positive deviant of 19.2 among women with at least 3 pregnancy wastage also suggests a higher observed than expected pregnancy wastages, and suggests clustering of pregnancy wastages among HIV-positive women. After adjusting for the socio-economic characteristics, the variance of the observed and expected has reduced only marginally. Conclusions: Clustering of pregnancy wastages among HIV positive women suggests for an increased attention on reproductive health of this marginalized group. The findings will be useful for the interventions working with WLHA in India, particularly the knowledge of clustering would help policy makers and program implementers to focus on high risk women who are likely to experience multiple pregnancy losses.

Study on Recycling Garments Wastage as an Alternative Sizing Material

This paper deals with garments wastage, which could proficiently assess alternative sizing materials than conventional sizing materials. In this research, the synthesized Carboxymethyl Cellulose (CMC) was originated from garments wastages and after that, synthesized CMC and exported CMC were added in sizing recipe for newly sized yarn and conventionally sized yarn respectively. Yarn count, strength, CSP, desizing efficiency and dye absorbency have been evaluated and a comparison has been made among the samples. Less count variation was found in newly sized yarn and a desirable amount of strength & CSP were also acquired in newly sized yarn but it was slightly less than the conventional one. After desizing and dye absorbency test, it has shown a favorable character for further steps like dyeing, printing, etc. These findings convey that synthesized CMC prepared from garments wastage in this study are good candidates for alternative sizing agents.

Removal of methylene blue by tea wastages from the synthesis waste waters

The tea wastages could remove methylene blue（MB） as a cationic dye from waste water corresponding to second-order kinetic model.Thermodynamic studies showed that adsorption equilibrium constant（KL） and maximum adsorption capacities（Q（max）） were increased with increasing temperature.The removal efficiency of MB for Co 0.01 mmol/L at optimum conditions was about 85%. The maximum uptake capacity（Q（max）） of methylene blue in a batch reactor was 0.328,0.542 and 0.659 mmol/g at 15,25 and 40℃, respectively.The enthalpy change（ΔH） and entropy change（ΔS） were 11.356 kJ/mol and 20.563 J/（mol K）,respectively.

Bayes-Q-Learning Algorithm in Edge Computing for Waste Tracking

The major environmental hazard in this pandemic is the unhygienic dis-posal of medical waste.Medical wastage is not properly managed it will become a hazard to the environment and humans.Managing medical wastage is a major issue in the city,municipalities in the aspects of the environment,and logistics.An efficient supply chain with edge computing technology is used in managing medical waste.The supply chain operations include processing of waste collec-tion,transportation,and disposal of waste.Many research works have been applied to improve the management of wastage.The main issues in the existing techniques are ineffective and expensive and centralized edge computing which leads to failure in providing security,trustworthiness,and transparency.To over-come these issues,in this paper we implement an efficient Naive Bayes classifier algorithm and Q-Learning algorithm in decentralized edge computing technology with a binary bat optimization algorithm(NBQ-BBOA).This proposed work is used to track,detect,and manage medical waste.To minimize the transferring cost of medical wastage from various nodes,the Q-Learning algorithm is used.The accuracy obtained for the Naïve Bayes algorithm is 88%,the Q-Learning algo-rithm is 82%and NBQ-BBOA is 98%.The error rate of Root Mean Square Error(RMSE)and Mean Error(MAE)for the proposed work NBQ-BBOA are 0.012 and 0.045.

考虑局部腐蚀的船体梁极限强度评估

The residual strength capacity of ship hull with full corrosion appearance in every structural member has been considered in a large number of research works;however,the influence of local corrosion on the ultimate strength and cross-section properties has not been taken into account and analyzed.Hence,this study aims to assess the effect of corrosion appearance in the flange section and web section on the ultimate vertical bending moment and several cross-section properties of a bulk carrier.To perform this task,a probabilistic corrosion rate estimation model and the common structural rule model are introduced and employed.The incremental-iterative method given by the International Association of Classification Societies-Common Structural Rules(IACS-CSR)is applied to determine the ultimate vertical bending moment,neutral axis position at the limit state,and other properties of the cross-section.The calculation results and discussions relative to the effect of corrosion on ship hull are presented.

点蚀损耗对船体梁极限强度的影响

The paper focuses on the assessment of the hull girder ultimate strength,combined with random pitting corrosion wastage,by the incremental-iterative method.After a brief review about the state of art,the local ultimate strength of pitted platings under uniaxial compression is preliminarily outlined and subsequently a closed-form design formula is endorsed in the Rule incremental-iterative method,to account for pitting corrosion wastage in the hull girder ultimate strength check.The ISSC bulk carrier is assumed as reference ship in a benchmark study,devoted to test the effectiveness of the incremental-iterative method,by a comparative analysis with a set of FE simulations,performed by Ansys Mechanical APDL.Four reference cases,with different locations of pitting corrosion wastage,are investigated focusing on nine combinations of pitting and corrosion intensity degrees.Finally,a comparative analysis between the hull girder ultimate strength,combined with pitting corrosion wastage,and the relevant values,complying with the Rule net scantling approach,is performed.Based on current results,the modified incremental-iterative method allows efficiently assessing the hull girder ultimate strength,combined with pitting corrosion wastage,so revealing useful both in the design process of new vessels and in the structural health monitoring of aged ships.

Washing Defects and Remedial Actions of Denim Garments and Statistical Review of Denim Sectors in Emerging Economy

This paper aimed to identify the washing defects of denim garments and the remedies for these washing defects of denim garments in Bangladesh.The other purpose of this paper is to explain how such errors are related to the waste,production,and production costs of denim clothing.It also provides a statistical review of the denim sector in Bangladesh as compared to other countries.This paper is conveyed based on theoretical and statistical.It appears washing defects of denim garment,and their remedial actions and reveals the effect of washing defects on wastage,production,and production cost of denim garments.This research paper shows more washing defects of denim garments in Bangladesh.The statistical review displays that Bangladesh is exporting denim products nearly 200 million pieces every year over the world and ranks as the second-largest denim garments exporter after China.By studying this paper,the manufacturer of denim garments in Bangladesh and other countries will be conscious of these defects and able to minimize these defects that will help improve the economy all over the world.

Hazardous Chemicals in Drinking Groundwater of District Meerut,UP,India

Water is an essential natural resource for sustaining life and environment.Though groundwater contributes only 0.6%of the total water resources on earth, it is the major and preferred source of drinking water in rural as well as urban areas of many developing countries like India.Uttar Pradesh state

Resource Allocation for Uplink CSI Sensing Report in Multi-User WLAN Sensing

Sensing in wireless local area network(WLAN) gains great interests recently. In this paper we focus on the multi-user WLAN sensing problem under the existing 802.11 standards. Multiple stations perform sensing with the access point and transmit channel state information(CSI)report simultaneously on the basis of uplink-orthogonal frequency division multiple access(OFDMA). Considering the transmission resource consumed in CSI report and the padding wastage in OFDMA based CSI report, we optimize the CSI simplification and uplink resource unit(RU)allocation jointly, aiming to balance the sensing accuracy and padding wastage performances in WLAN sensing. We propose the minimize padding maximize efficiency(MPME) algorithm to solve the problem and evaluate the performance of the proposed algorithm through extensive simulations.

Manpower Systems Operating under Heavy and Light Tailed Inter-Exit Time Distributions

This paper considers a Manpower system where “exits” of employed personnel produce some wastage or loss. This system monitors these wastages over the sequence of exit epochs {t0 = 0 and tk;k = 1, 2,…} that form a recurrent process and admit recruitment when the cumulative loss of man hours crosses a threshold level Y, which is also called the breakdown level. It is assumed that the inter-exit times Tk = tk-1 - tk, k = 1, 2,… are independent and identically distributed random variables with a common cumulative distribution function (CDF) B(t) = P(Tk t) which has a tail 1 – B(t) behaving like t-v with 1 v as t → ∞. The amounts {Xk} of wastages incurred during these inter-exit times {Tk} are independent and identically distributed random variables with CDF P(Xk X) = G(x) and Y is distributed, independently of {Xk} and {tk}, as an exponentiated exponential law with CDF H(y) = P(Y y) = (1 - e-λy)n. The mean waiting time to break down of the system has been obtained assuming B(t) to be heavy tailed and as well as light tailed. For the exponential case of G(x), a comparative study has also been made between heavy tailed mean waiting time to break down and light tailed mean waiting time to break down values. The recruitment policy operating under the heavy tailed case is shown to be more economical in all types of manpower systems.